Toronto Marlies
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension

Centre de jeu
	Toronto Maple Leafs 44-26-6, 94pts	2	FINAL	1	Edmonton Oilers 35-33-6, 76pts

Team Stats
W2	Séquence	L1
24-11-2	Fiche domicile	16-18-3
20-15-4	Fiche visiteur	19-15-3
4-6-0	Derniers 10 matchs	5-5-0
3.53	Buts par match	2.82
3.11	Buts contre par match	2.89
21.18%	Pourcentage en avantage numérique	18.86%
79.91%	Pourcentage en désavantage numérique	82.83%

Florida Panthers
32-29-14, 78pts

FINAL

Toronto Maple Leafs
44-26-6, 94pts

Team Stats
L1	Séquence	W2
17-12-8	Fiche domicile	24-11-2
15-17-6	Fiche visiteur	20-15-4
1-7-2	Derniers 10 matchs	4-6-0
2.88	Buts par match	3.53
2.97	Buts contre par match	3.11
21.15%	Pourcentage en avantage numérique	21.18%
80.91%	Pourcentage en désavantage numérique	79.91%

Toronto Maple Leafs
44-26-6, 94pts

Jour 137

Los Angeles Kings
32-35-7, 71pts

Statistiques d’équipe
W2	Séquence	W5
24-11-2	Fiche domicile	14-19-4
20-15-4	Fiche visiteur	18-16-3
4-6-0	10 derniers matchs	6-3-1
3.53	Buts par match	3.16
3.11	Buts contre par match	3.16
21.18%	Pourcentage en avantage numérique	20.00%
79.91%	Pourcentage en désavantage numérique	76.59%

Calgary Flames
34-30-9, 77pts

Jour 139

Toronto Maple Leafs
44-26-6, 94pts

Statistiques d’équipe
L1	Séquence	W2
20-13-4	Fiche domicile	24-11-2
14-17-5	Fiche visiteur	20-15-4
4-3-3	10 derniers matchs	4-6-0
3.07	Buts par match	3.53
3.14	Buts contre par match	3.53
20.07%	Pourcentage en avantage numérique	21.18%
80.62%	Pourcentage en désavantage numérique	79.91%

Boston Bruins
43-26-4, 90pts

Jour 142

Toronto Maple Leafs
44-26-6, 94pts

Statistiques d’équipe
W5	Séquence	W2
23-11-3	Fiche domicile	24-11-2
20-15-1	Fiche visiteur	20-15-4
8-2-0	10 derniers matchs	4-6-0
3.00	Buts par match	3.53
2.78	Buts contre par match	3.53
18.03%	Pourcentage en avantage numérique	21.18%
78.82%	Pourcentage en désavantage numérique	79.91%

Meneurs d'équipe
	Buts Auston Matthews 36	Passes Jonathan Toews 56

	Points Jonathan Toews 84	Plus/Moins Jonathan Toews 21

	Victoires Carter Hart 32	Pourcentage d’arrêts Alex Stalock 0.908

Statistiques d’équipe
Buts pour 268 3.53 GFG	Tirs pour 2481 32.64 Avg	Pourcentage en avantage numérique 21.2% 72 GF	Début de zone offensive 38.8%
Buts contre 236 3.11 GAA	Tirs contre 2307 30.36 Avg	Pourcentage en désavantage numérique 79.9%% 47 GA	Début de la zone défensive 36.0%

Informations de l'équipe
	Directeur général	Albin Cöster
	Entraîneur	Albin Cöster
	Division	Atlantic Division
	Conférence	Eastern Conference
	Capitaine	Jonathan Toews
	Assistant #1	David Perron
	Assistant #2	Trevor Lewis
Informations de l’aréna
	Nom	The ACC
	Capacité	22,000
	Assistance	19,480
	Billets de saison	11,000
Informations de la formation
	Équipe Pro	23
	Équipe Mineure	29
	Limite contact	52 / 60
	Espoirs	14
Plafond salarial Non Activé
	Cap Salarial de la Saison estimé	79,963,042$
	Plafond salarial disponible	2,536,958$
	Valeur du plafond salarial spécial	-2,250,000$
	Joueurs Inclus dans le plafond salarial	23
Finance
	Revenu annuel à ce jour	57,564,811$
	Dépenses annuelles à ce jour	71,582,596$
	Revenus de la saison estimés	6,223,223$
	Dépenses de la saison estimées	9,854,172$
	Compte bancaire actuel	62,134,808$
	Compte bancaire projeté	58,453,819$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du joueur	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	TA	SP	Âge	Contrat	Salaire
1	Auston Matthews	0	X				100.00	77	45	93	93	83	85	91	94	93	89	99	65	70	75	76	83	81	83		0	26	2	11,640,250$
2	Mitchell Marner	0			X		100.00	74	42	90	90	65	87	93	93	25	97	89	72	48	76	77	82	80	82		0	26	2	10,903,000$
3	Jake Guentzel	42	X	X			100.00	78	43	83	86	66	89	94	96	44	87	94	60	41	73	74	80	81	80		0	29	2	6,000,000$
4	Jonathan Toews (C)	0	X				100.00	58	52	88	84	74	77	79	87	99	81	82	75	48	92	98	73	81	77		0	35	1	5,250,000$
5	Jake DeBrusk	0		X	X		100.00	79	44	92	82	68	79	88	87	32	79	91	71	63	72	75	79	81	77		0	27	2	4,000,000$
6	David Perron (A)	0		X	X		100.00	80	44	82	80	73	74	92	93	30	81	84	62	63	91	91	74	82	77		0	35	2	4,750,000$
7	Pavel Zacha	0	X	X			100.00	69	44	95	92	79	73	93	71	68	80	78	69	63	73	72	74	81	75		0	26	1	3,500,000$
8	Stefan Noesen	0			X		100.00	78	58	89	89	76	67	92	79	48	74	70	57	25	72	66	68	80	71		0	30	2	953,125$
9	David Kampf	0	X		X		100.00	72	43	98	77	71	70	99	58	92	67	58	87	75	74	74	66	80	69		0	28	5	1,500,000$
10	Trevor Lewis (A)	0	X	X	X		100.00	84	45	93	77	73	67	98	57	54	60	60	74	45	82	87	65	22	68		0	36	2	1,000,000$
11	Pierre Engvall	0		X	X		100.00	65	43	92	74	81	70	94	67	51	61	72	67	25	68	68	67	80	67		0	27	1	2,250,000$
12	David Savard	0				X	100.00	75	45	80	82	83	86	79	68	25	61	46	98	75	82	84	63	78	76		0	33	2	3,500,000$
13	Morgan Rielly	0				X	100.00	75	54	99	92	79	84	91	84	25	84	50	73	25	85	81	65	79	75		0	29	4	7,500,000$
14	Gustav Forsling	0				X	100.00	70	42	92	84	68	88	94	72	25	68	61	89	25	71	71	69	80	73		0	27	2	2,666,667$
15	Justin Holl	0				X	100.00	85	56	86	74	80	81	92	71	25	55	47	94	25	70	70	62	80	73		0	31	1	2,000,000$
16	Nick Holden	0				X	100.00	76	45	96	73	78	70	88	70	25	54	51	86	25	78	80	61	80	70		0	36	1	1,300,000$
17	Timothy Liljegren	0				X	100.00	81	44	87	81	73	79	82	71	25	54	49	79	25	68	63	60	80	69		0	24	2	1,400,000$
Rayé
1	Jujhar Khaira	0	X	X			76.86	87	86	83	78	82	72	59	66	69	62	61	80	25	69	69	65	69	70		0	29	1	975,000$
2	Phillip Di Giuseppe	0		X			100.00	82	44	87	76	70	68	72	64	32	64	72	70	25	66	67	69	50	67	N	0	30	1	937,500$
Équipe Mineure
1	Joey Anderson	0			X		100.00	73	43	99	92	70	71	82	66	25	61	74	76	25	59	59	67	79	67		0	25	1	750,000$
2	Michael Amadio	0	X		X		100.00	71	43	94	73	74	62	79	68	46	67	78	65	25	68	68	68	76	65		0	27	2	762,500$
3	Brett Seney	0	X	X			100.00	66	61	72	77	61	78	81	70	80	66	70	61	62	54	54	64	78	64		0	27	1	750,000$
4	Tim Gettinger	0		X			100.00	84	83	80	67	84	67	69	63	50	62	62	67	57	47	47	61	67	63		0	25	1	750,000$
5	Brendan Perlini	0		X	X		100.00	83	79	85	83	79	49	47	59	50	50	65	65	62	49	49	61	80	62		0	27	1	937,500$
6	Max McCormick	0		X			100.00	68	67	72	67	67	77	80	67	50	64	65	61	63	54	54	64	76	62		0	31	2	953,125$
7	Nicholas Robertson	0		X			100.00	76	42	99	77	61	58	51	67	56	64	66	68	25	49	49	65	75	61		0	22	2	796,667$
8	Bobby McMann	0	X				100.00	80	75	83	61	76	67	68	67	49	57	74	66	70	47	47	66	75	61		0	27	2	762,500$
9	Curtis Douglas (R)	0	X				100.00	80	94	38	66	97	74	81	48	63	44	50	62	48	47	47	53	79	60		0	23	2	837,500$
10	Walker Duehr	0			X		100.00	86	46	96	61	78	56	81	56	30	61	76	54	25	49	49	67	76	59		0	26	1	750,000$
11	Adam Brooks	0	X				100.00	67	62	83	69	62	60	60	60	77	61	55	59	54	51	52	58	74	57		0	27	2	762,500$
12	Mikhail Abramov (R)	0	X				100.00	71	61	98	65	63	72	76	55	71	51	55	59	53	47	47	58	78	57		0	22	2	809,444$
13	Anton Stralman	46				X	100.00	77	67	98	81	65	72	66	76	25	40	41	88	37	87	93	52	75	67		0	37	1	1,250,000$
14	Travis Dermott	0				X	100.00	73	43	94	82	74	64	57	55	25	40	48	77	25	67	69	57	77	63		0	27	1	1,500,000$
15	Alex Petrovic	0				X	100.00	81	81	76	70	81	80	87	53	25	44	48	64	44	47	47	55	75	62		0	31	1	937,500$
16	Parker Wotherspoon	0				X	100.00	68	42	90	63	64	62	65	61	25	47	49	74	25	48	48	55	72	58		0	26	1	937,500$
17	William Villeneuve (R)	0				X	100.00	71	66	81	65	68	72	78	52	25	48	40	59	39	47	47	51	74	57		0	21	3	817,778$
18	Mac Hollowell	0				X	100.00	68	61	87	68	62	56	56	55	25	57	38	59	37	47	47	51	75	55		0	25	1	750,000$
19	Nick Abruzzese (R)	0	X	X			100.00	71	62	91	65	62	68	70	62	78	61	58	62	55	45	45	63	20	58		0	24	1	850,000$
20	Samuel Laberge	0		X			100.00	74	76	69	68	76	59	61	54	50	47	57	62	54	44	44	58	20	57		0	26	1	937,500$
21	Connor Ford	0			X		100.00	76	68	93	69	68	65	69	51	50	47	51	62	48	44	44	58	20	56		0	25	1	750,000$
22	Shawn Element (R)	0	X				100.00	64	70	50	69	70	61	63	55	69	47	58	57	55	44	44	57	20	55		0	23	1	750,000$
23	Mitchell Hoelscher (R)	0	X				100.00	73	65	90	66	65	59	61	53	66	46	56	61	53	44	44	58	20	55		0	23	1	750,000$
24	Alex Whelan	0			X		100.00	79	76	87	64	76	49	49	50	50	48	46	63	44	44	44	54	20	55		0	26	1	750,000$
25	Mikko Kokkonen (R)	0				X	100.00	74	72	79	67	72	60	64	46	25	37	39	60	37	44	44	51	20	55		0	22	3	846,667$
26	Filip Kral (R)	0				X	100.00	76	69	91	59	69	58	61	47	25	37	42	61	40	44	44	52	20	54		0	24	1	810,000$

	MOYENNE D’ÉQUIPE						99.49	75	58	86	75	73	70	76	66	47	60	62	69	44	61	62	63	65	65

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du gardien	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	TA	SP	Âge	Contrat	Salaire
1	Carter Hart	0	99.00	77	80	82	71	80	82	83	81	82	81	86	75	65	74	83	77	N	0	25	2	6,000,000$
2	Frederik Andersen	0	99.00	76	86	86	94	68	64	84	68	72	66	77	78	76	68	75	74		0	34	1	2,250,000$
Rayé
1	Alex Stalock	0	100.00	74	53	57	73	71	74	76	72	79	71	79	47	47	69	81	69		0	36	2	937,500$
2	Joseph Woll (R)	0	100.00	68	48	65	77	68	63	61	68	65	64	30	45	45	62	20	63		0	25	3	1,000,000$
Équipe Mineure
1	Erik Kallgren	0	100.00	64	55	54	75	75	53	73	64	67	63	75	49	50	61	77	63		0	27	1	750,000$
2	Luke Richardson (R)	0	100.00	72	58	59	66	50	60	61	55	52	52	56	44	44	64	79	56		0	24	1	937,500$
3	Jett Alexander	0	100.00	50	55	60	77	52	49	58	54	46	59	55	44	44	55	20	53		0	24	1	937,500$

	MOYENNE D’ÉQUIPE		99.71	69	62	66	76	66	64	71	66	66	65	65	55	53	65	62	65

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Albin Cöster	50	60	80	50	92	60	50	SWE	31	2	1,000,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Jonathan Toews	Toronto Maple Leafs	C	76	28	56	84	21	28	0	40	106	195	76	116	14.36%	31	1367	17.99	13	20	33	35	255	0	0	0	0	1	5	2	55.85%	1556	26	21	1	1.23	1	1	0	0	0	5	5	2
2	Jake Guentzel	Toronto Maple Leafs	C/LW	76	29	52	81	-10	74	10	149	70	233	76	120	12.45%	16	1415	18.62	10	25	35	42	251	0	0	0	0	12	2	1	38.16%	76	41	21	1	1.14	1	1	0	0	2	4	4	1
3	Auston Matthews	Toronto Maple Leafs	C	76	36	42	78	-17	19	5	108	106	250	70	143	14.40%	28	1441	18.97	11	12	23	40	258	0	0	0	1	9	5	3	52.96%	1573	59	18	1	1.08	2	10	0	0	1	5	5	7
4	Mitchell Marner	Toronto Maple Leafs	RW	76	26	48	74	-10	22	0	83	76	268	59	147	9.70%	27	1404	18.48	7	18	25	40	259	0	0	0	0	0	3	3	23.08%	78	59	11	0	1.05	0	2	0	0	0	4	7	2
5	David Perron	Toronto Maple Leafs	LW/RW	76	33	33	66	20	68	10	149	52	237	56	143	13.92%	27	1325	17.44	12	9	21	35	237	0	0	0	0	0	4	0	28.99%	69	49	11	0	1.00	5	9	1	1	0	5	4	5
6	Jake DeBrusk	Toronto Maple Leafs	LW/RW	76	28	26	54	15	26	0	131	59	194	71	118	14.43%	21	1365	17.97	6	8	14	13	258	0	0	0	0	2	3	0	36.49%	74	42	18	0	0.79	0	10	0	0	0	6	3	3
7	Pavel Zacha	Toronto Maple Leafs	C/LW	76	18	18	36	-3	0	0	38	81	128	56	90	14.06%	23	1078	14.18	1	1	2	2	14	1	2	3	4	179	1	1	46.63%	504	37	20	0	0.67	1	3	0	0	0	2	1	3
8	Morgan Rielly	Toronto Maple Leafs	D	76	4	32	36	-4	2	0	66	95	124	53	44	3.23%	80	1706	22.45	3	17	20	14	259	0	1	1	2	55	1	0	0%	0	39	59	0	0.42	0	1	0	0	0	1	0	3
9	Stefan Noesen	Toronto Maple Leafs	RW	76	15	18	33	-1	20	0	71	26	164	46	92	9.15%	8	858	11.29	0	2	2	0	23	0	0	0	0	0	5	1	20.59%	34	51	12	0	0.77	0	1	0	0	0	1	3	1
10	Gustav Forsling	Toronto Maple Leafs	D	76	4	23	27	-3	8	0	63	125	90	45	40	4.44%	107	1768	23.26	2	8	10	11	260	0	0	0	4	181	0	2	0%	0	40	62	0	0.31	0	1	0	0	0	0	2	2
11	Justin Holl	Toronto Maple Leafs	D	76	1	20	21	12	28	0	111	110	69	33	28	1.45%	92	1363	17.94	0	1	1	0	3	0	2	2	2	167	0	0	0%	0	4	50	0	0.31	0	0	0	0	0	0	0	2
12	Jujhar Khaira	Toronto Maple Leafs	C/LW	76	7	13	20	1	49	5	118	67	68	14	48	10.29%	23	1000	13.16	0	0	0	0	0	1	1	2	8	159	2	1	44.12%	136	9	18	0	0.40	0	0	0	0	1	1	1	3
13	Timothy Liljegren	Toronto Maple Leafs	D	76	1	17	18	12	30	0	84	67	65	30	24	1.54%	52	1271	16.73	1	5	6	9	257	0	0	0	0	14	0	0	0%	0	12	32	0	0.28	1	1	0	0	0	0	1	2
14	David Kampf	Toronto Maple Leafs	C/RW	76	7	9	16	-1	7	5	56	73	101	23	60	6.93%	23	771	10.15	0	0	0	0	5	0	1	1	9	176	2	1	56.67%	420	23	24	0	0.41	0	3	1	0	0	1	1	0
15	Pierre Engvall	Toronto Maple Leafs	LW/RW	76	9	7	16	-1	21	5	33	22	78	23	74	11.54%	17	602	7.92	0	0	0	0	0	1	0	1	2	28	2	1	42.86%	28	15	9	0	0.53	1	1	0	0	1	0	0	1
16	David Savard	Toronto Maple Leafs	D	76	0	16	16	-9	99	5	91	103	71	36	34	0%	100	1531	20.15	0	0	0	1	6	0	0	0	2	144	0	0	0%	0	4	52	0	0.21	1	3	0	1	0	0	0	0
17	Nick Holden	Toronto Maple Leafs	D	76	6	9	15	1	4	0	56	113	63	32	33	9.52%	88	1545	20.34	5	1	6	12	257	0	0	0	3	180	1	0	0%	0	10	33	0	0.19	0	0	0	0	0	0	0	2
18	Phillip Di Giuseppe	Toronto Maple Leafs	LW	45	7	3	10	-2	4	0	54	24	59	14	26	11.86%	11	449	9.99	1	0	1	2	1	1	0	1	13	111	2	0	20.00%	10	13	7	0	0.44	0	0	0	0	0	0	0	1
19	Trevor Lewis	Toronto Maple Leafs	C/LW/RW	31	3	4	7	1	0	0	25	15	24	11	26	12.50%	6	308	9.96	0	0	0	0	0	1	1	2	2	61	0	0	36.36%	11	5	7	0	0.45	0	0	0	0	0	1	0	0
Statistiques d’équipe totales ou en moyenne				1368	262	446	708	22	509	45	1526	1390	2481	824	1406	10.56%	780	22574	16.50	72	127	199	256	2612	5	8	13	52	1488	38	16	51.52%	4569	538	485	3	0.63	13	47	2	2	5	36	37	40

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Carter Hart	Toronto Maple Leafs	55	32	16	4	0.900	2.95	3031	0	1	149	1490	697	0	1	0.909	22	54	18	2	5	2
2	Frederik Andersen	Toronto Maple Leafs	43	19	19	4	0.901	3.15	2536	0	0	133	1348	734	1	2	0.615	13	42	31	3	6	2
3	Alex Stalock	Toronto Maple Leafs	26	10	7	2	0.908	2.86	1279	2	0	61	664	336	1	3	0.625	24	17	57	2	1	1
4	Joseph Woll	Toronto Maple Leafs	1	0	1	0	0.862	4.00	60	0	0	4	29	16	0	0	0	0	1	0	0	0	0
Statistiques d’équipe totales ou en moyenne			125	61	43	10	0.902	3.02	6906	2	1	347	3531	1783	2	6		59	114	106	7	12	5

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Date de la Dernière Transaction	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Plafond salarial Non Activé	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Salaire annuel 5	Salaire annuel 6	Salaire annuel 7	Salaire annuel 8	Salaire annuel 9	Salaire annuel 10	Non-échange Année 2	Non-échange Année 3	Non-échange Année 4	Non-échange Année 5	Non-échange Année 6	Non-échange Année 7	Non-échange Année 8	Non-échange Année 9	Non-échange Année 10	Lien
Alex Stalock	Toronto Maple Leafs	G	36	1987-12-31 17:46:39	No	200 Lbs	6 ft0	No	No	N/A		No	Yes	2	2024-04-05	False	False	Pro & Farm	937,500$	937,500$	111,020$	No	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Auston Matthews (contrat à 1 volet)	Toronto Maple Leafs	C	26	1997-12-31	No	220 Lbs	6 ft3	No	No	N/A		No	Yes	2		False	False	Pro Only	11,640,250$	11,640,250$	1,378,451$	No	11,640,250$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Carter Hart (contrat à 1 volet)	Toronto Maple Leafs	G	25	1998-12-31	No	181 Lbs	6 ft2	Yes	No	N/A		No	Yes	2		False	False	Pro Only	6,000,000$	6,000,000$	710,526$	No	6,000,000$	-	-	-	-	-	-	-	-	Yes	-	-	-	-	-	-	-	-	Lien / Lien NHL
David Kampf (contrat à 1 volet)	Toronto Maple Leafs	C/RW	28	1995-12-31	No	188 Lbs	6 ft2	No	No	N/A		No	Yes	5	2024-04-10	False	False	Pro Only	1,500,000$	1,500,000$	177,632$	No	2,600,000$	2,600,000$	2,600,000$	2,600,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien / Lien NHL
David Perron (contrat à 1 volet)	Toronto Maple Leafs	LW/RW	35	1988-12-31	No	200 Lbs	6 ft0	No	No	N/A		No	Yes	2		False	False	Pro Only	4,750,000$	4,750,000$	562,500$	No	4,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
David Savard (contrat à 1 volet)	Toronto Maple Leafs	D	33	1990-12-31	No	234 Lbs	6 ft2	No	No	N/A		No	Yes	2		False	False	Pro Only	3,500,000$	3,500,000$	414,474$	No	3,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Frederik Andersen (contrat à 1 volet)	Toronto Maple Leafs	G	34	1989-12-31	No	238 Lbs	6 ft4	No	No	Trade	2024-04-10	No	Yes	1	2024-04-10	False	False	Pro Only	2,250,000$	2,250,000$	266,447$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Gustav Forsling (contrat à 1 volet)	Toronto Maple Leafs	D	27	1996-12-31	No	186 Lbs	6 ft0	No	No	N/A		No	Yes	2		False	False	Pro Only	2,666,667$	2,666,667$	315,790$	No	2,666,667$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Jake DeBrusk (contrat à 1 volet)	Toronto Maple Leafs	LW/RW	27	1996-12-31	No	188 Lbs	6 ft0	No	No	N/A		No	Yes	2		False	False	Pro Only	4,000,000$	4,000,000$	473,684$	No	4,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Jake Guentzel (contrat à 1 volet)	Toronto Maple Leafs	C/LW	29	1994-12-31	No	180 Lbs	5 ft11	No	No	N/A		No	Yes	2		False	False	Pro Only	6,000,000$	6,000,000$	710,526$	No	6,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Jonathan Toews (contrat à 1 volet)	Toronto Maple Leafs	C	35	1988-12-31 06:09:38	No	201 Lbs	6 ft2	No	No	N/A		No	Yes	1		False	False	Pro Only	5,250,000$	5,250,000$	621,711$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Joseph Woll (contrat à 1 volet)	Toronto Maple Leafs	G	25	1998-12-31	Yes	198 Lbs	6 ft2	No	No	N/A		No	No	3		False	False	Pro Only	1,000,000$	1,000,000$	118,421$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Jujhar Khaira (contrat à 1 volet)	Toronto Maple Leafs	C/LW	29	1994-12-31	No	212 Lbs	6 ft4	No	No	N/A		No	Yes	1		False	False	Pro Only	975,000$	975,000$	115,461$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Justin Holl (contrat à 1 volet)	Toronto Maple Leafs	D	31	1992-12-31	No	210 Lbs	6 ft4	No	No	N/A		No	Yes	1		False	False	Pro Only	2,000,000$	2,000,000$	236,842$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Mitchell Marner (contrat à 1 volet)	Toronto Maple Leafs	RW	26	1997-12-31	No	175 Lbs	6 ft0	No	No	N/A		No	Yes	2		False	False	Pro Only	10,903,000$	10,903,000$	1,291,145$	No	10,903,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Morgan Rielly (contrat à 1 volet)	Toronto Maple Leafs	D	29	1994-12-31	No	219 Lbs	6 ft1	No	No	N/A		No	Yes	4		False	False	Pro Only	7,500,000$	7,500,000$	888,158$	No	7,500,000$	7,500,000$	7,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Nick Holden (contrat à 1 volet)	Toronto Maple Leafs	D	36	1987-12-31	No	214 Lbs	6 ft4	No	No	N/A		No	Yes	1		False	False	Pro Only	1,300,000$	1,300,000$	153,947$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Pavel Zacha (contrat à 1 volet)	Toronto Maple Leafs	C/LW	26	1997-12-31	No	210 Lbs	6 ft3	No	No	N/A		No	Yes	1		False	False	Pro Only	3,500,000$	3,500,000$	414,474$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Phillip Di Giuseppe (contrat à 1 volet)	Toronto Maple Leafs	LW	30	1993-12-31	No	192 Lbs	6 ft0	Yes	No	N/A		No	Yes	1		False	False	Pro Only	937,500$	937,500$	111,020$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Pierre Engvall (contrat à 1 volet)	Toronto Maple Leafs	LW/RW	27	1996-12-31	No	214 Lbs	6 ft5	No	No	N/A		No	Yes	1		False	False	Pro Only	2,250,000$	2,250,000$	266,447$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Stefan Noesen (contrat à 1 volet)	Toronto Maple Leafs	RW	30	1993-12-31	No	205 Lbs	6 ft1	No	No	N/A		No	Yes	2		False	False	Pro Only	953,125$	953,125$	112,870$	No	953,125$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Timothy Liljegren (contrat à 1 volet)	Toronto Maple Leafs	D	24	1999-12-31	No	190 Lbs	6 ft0	No	No	N/A		No	Yes	2		False	False	Pro Only	1,400,000$	1,400,000$	165,789$	No	1,400,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Trevor Lewis (contrat à 1 volet)	Toronto Maple Leafs	C/LW/RW	36	1987-12-31	No	202 Lbs	6 ft1	No	No	N/A		No	Yes	2	2024-04-10	False	False	Pro Only	1,000,000$	1,000,000$	118,421$	No	950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	29.74	202 Lbs	6 ft2	1.91	3,574,480$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
82,213,042$	64,663,042$	11,100,000$	10,100,000$	2,600,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Jake Guentzel	Auston Matthews	Mitchell Marner	33	1	0	4
2	David Perron	Jonathan Toews	Jake DeBrusk	33	1	2	2
3		Pavel Zacha	Stefan Noesen	24	0	2	3
4	Trevor Lewis	David Kampf	Pierre Engvall	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Morgan Rielly	David Savard	38	0	3	2
2	Gustav Forsling	Justin Holl	35	1	2	2
3	Timothy Liljegren	Nick Holden	27	1	3	1
4	Morgan Rielly	David Savard	0	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Jake DeBrusk	Auston Matthews	Mitchell Marner	50	0	0	5
2	Jake Guentzel	Jonathan Toews	David Perron	50	0	0	5

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Morgan Rielly	Timothy Liljegren	50	1	1	3
2	Gustav Forsling	Nick Holden	50	1	1	3

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	David Kampf	Trevor Lewis	50	0	4	1
2		Pavel Zacha	50	1	4	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	David Savard	Gustav Forsling	50	1	4	0
2	Justin Holl	Nick Holden	50	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	David Kampf	50	0	5	0	Gustav Forsling	Justin Holl	50	0	5	0
2		50	0	5	0	David Savard	Nick Holden	50	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Auston Matthews	Mitchell Marner	50	1	1	3
2	Jonathan Toews	Jake DeBrusk	50	1	1	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Morgan Rielly	David Savard	50	1	3	1
2	Gustav Forsling	Justin Holl	50	1	3	1

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jake Guentzel	Auston Matthews	Mitchell Marner	Morgan Rielly	Gustav Forsling

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jake Guentzel	Auston Matthews	Mitchell Marner	Morgan Rielly	Gustav Forsling

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Auston Matthews, Mitchell Marner, Jake Guentzel	Pavel Zacha, Stefan Noesen	Pierre Engvall

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Gustav Forsling, David Savard, Morgan Rielly	David Savard	Morgan Rielly, Timothy Liljegren

Tirs de pénalité
Auston Matthews, Jake DeBrusk, David Perron, David Kampf, David Savard

Gardien
#1 : Frederik Andersen, #2 : Carter Hart

Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,

Lignes de défense personnalisées en prolongation
, , , ,

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

	Total												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Anaheim Ducks	3	1	2	0	0	0	0	0	14	13	1	1	1	0	0	0	0	0	0	5	1	4	2	0	2	0	0	0	0	0	9	12	-3	2	0.333	14	24	38	1	0	2	9	3	0	104	28	42	34	0	94	36	18	63	8	2	25.00%	9	2	77.78%	1	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	68	41	61	25	50	24
2	Arizona Coyotes	2	1	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	6	12	18	1	0	1	2	3	0	71	22	21	28	0	63	39	22	43	9	6	66.67%	6	1	83.33%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	43	26	42	17	33	16
3	Boston Bruins	3	0	2	0	0	0	1	0	6	8	-2	1	0	0	0	0	0	1	0	3	2	1	2	0	2	0	0	0	0	0	3	6	-3	2	0.333	6	7	13	0	0	1	0	4	1	85	27	33	23	5	82	19	14	59	12	3	25.00%	7	0	100.00%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	66	37	63	26	55	28
4	Buffalo Sabres	5	3	1	0	0	1	0	0	18	17	1	2	0	1	0	0	1	0	0	6	11	-5	3	3	0	0	0	0	0	0	12	6	6	7	0.700	18	34	52	0	0	8	3	7	0	165	55	55	54	1	169	60	36	106	21	4	19.05%	18	6	66.67%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	111	66	106	43	85	43
5	Calgary Flames	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	3	5	8	0	0	1	1	1	0	36	8	11	17	0	41	9	6	14	6	2	33.33%	3	1	66.67%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	20	12	22	8	16	8
6	Carolina Hurricanes	2	0	1	0	0	0	0	1	5	8	-3	1	0	0	0	0	0	0	1	3	4	-1	1	0	1	0	0	0	0	0	2	4	-2	1	0.250	5	10	15	0	0	2	1	2	0	57	22	15	20	3	61	28	8	34	10	1	10.00%	4	0	100.00%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	44	25	44	18	35	18
7	Chicago Blackhawks	2	0	1	0	0	0	1	0	6	8	-2	1	0	0	0	0	0	1	0	3	2	1	1	0	1	0	0	0	0	0	3	6	-3	2	0.500	6	10	16	0	0	0	3	2	5	65	13	21	31	13	56	17	10	44	11	2	18.18%	5	1	80.00%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	45	25	41	19	38	19
8	Colorado Avalanche	2	1	1	0	0	0	0	0	10	9	1	1	0	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	7	4	3	2	0.500	10	16	26	0	0	3	5	2	0	74	23	31	20	0	67	22	10	44	6	2	33.33%	5	2	60.00%	1	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	44	26	43	16	32	16
9	Columbus Blue Jackets	2	0	0	0	0	0	1	1	3	3	0	1	0	0	0	0	0	1	0	2	1	1	1	0	0	0	0	0	0	1	1	2	-1	3	0.750	3	3	6	0	0	0	1	1	1	68	20	26	21	6	60	25	6	46	15	0	0.00%	3	0	100.00%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	51	29	38	18	40	22
10	Dallas Stars	2	0	2	0	0	0	0	0	7	10	-3	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	7	11	18	0	0	3	4	0	0	56	15	27	14	0	66	15	16	31	5	0	0.00%	8	2	75.00%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	42	25	43	18	34	16
11	Detroit Red Wings	4	2	1	0	0	0	1	0	14	13	1	2	1	1	0	0	0	0	0	7	8	-1	2	1	0	0	0	0	1	0	7	5	2	6	0.750	14	22	36	0	0	4	3	6	1	123	41	28	53	4	122	53	23	85	21	5	23.81%	9	1	88.89%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	93	57	81	35	70	35
12	Edmonton Oilers	2	2	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	2	1	1	4	1.000	8	15	23	0	0	2	2	4	0	71	19	28	24	0	67	13	8	36	8	1	12.50%	4	2	50.00%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	44	28	42	16	33	17
13	Florida Panthers	4	2	2	0	0	0	0	0	11	12	-1	2	2	0	0	0	0	0	0	9	5	4	2	0	2	0	0	0	0	0	2	7	-5	4	0.500	11	20	31	0	0	2	7	2	0	126	32	48	46	0	109	35	32	78	17	5	29.41%	16	3	81.25%	1	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	83	46	88	37	67	31
14	Los Angeles Kings	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	7	12	0	0	0	3	2	0	32	13	12	7	0	20	7	12	15	8	3	37.50%	6	0	100.00%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	23	13	18	9	17	8
15	Minnesota Wild	2	1	1	0	0	0	0	0	7	8	-1	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	7	11	18	1	0	2	1	4	0	81	33	16	32	0	75	25	16	44	11	4	36.36%	8	5	37.50%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	44	27	41	17	33	17
16	Montreal Canadiens	4	2	0	0	0	0	1	1	17	9	8	2	2	0	0	0	0	0	0	11	3	8	2	0	0	0	0	0	1	1	6	6	0	7	0.875	17	24	41	0	0	5	7	4	1	126	24	63	39	10	95	40	16	87	18	4	22.22%	8	1	87.50%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	91	52	84	38	73	37
17	Nashville Predators	2	2	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	1	3	4	1.000	9	14	23	0	0	1	5	3	0	61	12	19	30	0	68	21	24	35	10	1	10.00%	12	2	83.33%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	37	19	48	19	34	17
18	New Jersey Devils	2	1	0	0	0	0	1	0	10	4	6	1	1	0	0	0	0	0	0	7	2	5	1	0	0	0	0	0	1	0	3	2	1	4	1.000	10	16	26	0	0	2	4	3	1	72	22	23	27	3	64	25	10	38	6	2	33.33%	5	1	80.00%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	47	29	42	17	34	17
19	New York Islanders	2	2	0	0	0	0	0	0	6	1	5	1	1	0	0	0	0	0	0	4	0	4	1	1	0	0	0	0	0	0	2	1	1	4	1.000	6	9	15	0	1	4	2	0	0	52	13	21	18	0	51	22	23	35	8	2	25.00%	10	0	100.00%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	41	21	40	19	37	18
20	New York Rangers	4	3	1	0	0	0	0	0	15	9	6	3	2	1	0	0	0	0	0	12	7	5	1	1	0	0	0	0	0	0	3	2	1	6	0.750	15	25	40	0	0	5	5	5	0	130	42	38	50	0	122	35	31	78	20	5	25.00%	13	3	76.92%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	84	48	84	37	70	34
21	Ottawa Senators	4	3	1	0	0	0	0	0	18	12	6	2	1	1	0	0	0	0	0	9	8	1	2	2	0	0	0	0	0	0	9	4	5	6	0.750	18	32	50	0	0	7	6	5	0	155	58	50	47	0	104	36	21	80	23	6	26.09%	8	3	62.50%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	99	60	71	33	69	38
22	Philadelphia Flyers	2	2	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	4	3	1	4	1.000	9	16	25	0	0	2	4	3	0	76	30	22	24	0	66	20	20	33	8	2	25.00%	10	2	80.00%	1	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	42	23	43	18	34	16
23	Pittsburgh Penguins	2	1	1	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	4	2	2	2	0.500	5	9	14	1	0	0	3	2	0	77	29	24	24	0	57	16	10	43	12	3	25.00%	5	1	80.00%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	50	31	34	16	35	18
24	San Jose Sharks	3	3	0	0	0	0	0	0	13	5	8	2	2	0	0	0	0	0	0	9	3	6	1	1	0	0	0	0	0	0	4	2	2	6	1.000	13	21	34	0	0	4	5	4	0	90	29	24	37	0	80	27	29	57	14	2	14.29%	12	1	91.67%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	67	37	59	28	53	26
25	Seattle Kraken	2	2	0	0	0	0	0	0	10	6	4	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	5	4	1	4	1.000	10	18	28	0	0	2	7	1	0	71	17	29	25	0	59	16	22	47	7	0	0.00%	11	3	72.73%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	41	23	42	19	36	17
26	St. Louis Blues	2	0	2	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	2	4	6	0	0	1	1	0	0	51	23	22	6	0	68	24	6	43	6	0	0.00%	3	0	100.00%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	44	26	41	16	34	17
27	Tampa Bay Lightning	4	2	1	0	1	0	0	0	16	14	2	2	0	1	0	1	0	0	0	9	10	-1	2	2	0	0	0	0	0	0	7	4	3	6	0.750	16	25	41	0	0	6	8	1	1	145	57	49	38	1	130	39	17	86	15	2	13.33%	6	3	50.00%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	94	58	81	32	66	35
28	Vancouver Canucks	1	0	0	0	0	0	0	1	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	4	5	-1	1	0.500	4	7	11	0	0	0	2	2	3	27	6	10	11	6	32	7	10	16	1	0	0.00%	5	0	100.00%	1	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	21	11	23	9	20	9
29	Vegas Golden Knights	1	0	1	0	0	0	0	0	5	6	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	5	6	-1	0	0.000	5	10	15	0	0	2	3	0	0	28	12	8	8	0	28	11	10	28	5	2	40.00%	5	1	80.00%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	21	11	20	8	18	9
30	Washington Capitals	2	0	2	0	0	0	0	0	4	12	-8	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	4	7	11	0	0	1	2	1	0	58	22	24	12	0	79	28	8	45	6	1	16.67%	4	0	100.00%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	42	25	42	17	34	16
31	Winnipeg Jets	2	0	1	0	0	1	0	0	2	5	-3	1	0	1	0	0	0	0	0	0	2	-2	1	0	0	0	0	1	0	0	2	3	-1	1	0.250	2	2	4	0	0	0	2	0	0	48	14	22	12	0	52	10	17	33	13	0	0.00%	6	0	100.00%	0	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	45	25	39	17	35	18
	Total	76	37	26	0	1	2	6	4	268	236	32	37	20	11	0	1	1	3	1	143	109	34	39	17	15	0	0	1	3	3	125	127	-2	94	0.618	268	446	714	4	1	73	111	77	14	2481	781	862	832	52	2307	780	511	1526	340	72	21.18%	234	47	79.91%	5	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	1699	994	1579	681	1334	676
	_Since Last GM Reset	76	37	26	0	1	2	6	4	268	236	32	37	20	11	0	1	1	3	1	143	109	34	39	17	15	0	0	1	3	3	125	127	-2	94	0.618	268	446	714	4	1	73	111	77	14	2481	781	862	832	52	2307	780	511	1526	340	72	21.18%	234	47	79.91%	5	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	1699	994	1579	681	1334	676
	_Vs Conference	46	23	13	0	1	1	5	3	157	132	25	23	11	7	0	1	1	2	1	90	72	18	23	12	6	0	0	0	3	2	67	60	7	62	0.674	157	259	416	1	1	49	56	46	6	1515	494	519	496	33	1371	481	275	933	212	45	21.23%	126	24	80.95%	2	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	1044	612	947	410	812	415
	_Vs Division	28	14	8	0	1	1	3	1	100	85	15	13	6	4	0	1	1	1	0	54	47	7	15	8	4	0	0	0	2	1	46	38	8	38	0.679	100	164	264	0	0	33	34	29	4	925	294	326	300	21	811	282	159	581	127	29	22.83%	72	17	76.39%	1	886	1763	50.26%	850	1636	51.96%	618	1146	53.93%	638	378	577	246	488	251

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
76	94	W2	268	446	714	2481	2307	780	511	1526	4	1

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
76	37	26	1	2	6	4	268	236

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
37	20	11	1	1	3	1	143	109

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	17	15	0	1	3	3	125	127

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
4	6	0	0	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
340	72	21.18%	234	47	79.91%	5

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
781	862	832	52	73	111	77	14

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
886	1763	50.26%	850	1636	51.96%	618	1146	53.93%

Temps avec la rondelle
En zone offensive	Contrôle en zone offensive	En zone défensive	Contrôle en zone défensive	En zone neutre	Contrôle en zone neutre
1699	994	1579	681	1334	676

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	SO	Lien
1	3	New York Rangers	4	Toronto Maple Leafs	2	L			Sommaire du match
3	25	Toronto Maple Leafs	2	Boston Bruins	3	L			Sommaire du match
4	32	Toronto Maple Leafs	5	Buffalo Sabres	1	W			Sommaire du match
6	51	New York Rangers	2	Toronto Maple Leafs	6	W			Sommaire du match
7	67	Toronto Maple Leafs	6	Anaheim Ducks	8	L			Sommaire du match
9	83	Boston Bruins	2	Toronto Maple Leafs	3	W	X	X	Sommaire du match
10	89	Toronto Maple Leafs	5	Buffalo Sabres	4	W			Sommaire du match
14	120	Toronto Maple Leafs	5	Ottawa Senators	2	W			Sommaire du match
15	124	San Jose Sharks	1	Toronto Maple Leafs	3	W			Sommaire du match
17	145	Ottawa Senators	4	Toronto Maple Leafs	7	W			Sommaire du match
19	166	Detroit Red Wings	6	Toronto Maple Leafs	4	L			Sommaire du match
20	172	Toronto Maple Leafs	1	Florida Panthers	4	L			Sommaire du match
22	189	Toronto Maple Leafs	3	Detroit Red Wings	2	W	X	X	Sommaire du match
24	210	Buffalo Sabres	4	Toronto Maple Leafs	3	L	X		Sommaire du match
25	218	Toronto Maple Leafs	4	Tampa Bay Lightning	2	W			Sommaire du match
28	242	Montreal Canadiens	2	Toronto Maple Leafs	4	W			Sommaire du match
30	255	Toronto Maple Leafs	2	Montreal Canadiens	3	L	X	X	Sommaire du match
32	273	Pittsburgh Penguins	3	Toronto Maple Leafs	1	L			Sommaire du match
34	299	St. Louis Blues	2	Toronto Maple Leafs	1	L			Sommaire du match
36	308	Toronto Maple Leafs	4	Detroit Red Wings	3	W			Sommaire du match
38	330	Toronto Maple Leafs	4	Montreal Canadiens	3	W	X	X	Sommaire du match
39	338	Carolina Hurricanes	4	Toronto Maple Leafs	3	L	X	X	Sommaire du match
41	361	Detroit Red Wings	2	Toronto Maple Leafs	3	W			Sommaire du match
43	381	Toronto Maple Leafs	3	New Jersey Devils	2	W	X	X	Sommaire du match
44	389	Toronto Maple Leafs	4	Vancouver Canucks	5	L	X	X	Sommaire du match
45	402	Toronto Maple Leafs	3	Calgary Flames	5	L			Sommaire du match
47	416	Philadelphia Flyers	2	Toronto Maple Leafs	5	W			Sommaire du match
50	439	Colorado Avalanche	5	Toronto Maple Leafs	3	L			Sommaire du match
52	456	Toronto Maple Leafs	2	Winnipeg Jets	3	L	X		Sommaire du match
53	472	Anaheim Ducks	1	Toronto Maple Leafs	5	W			Sommaire du match
56	490	Los Angeles Kings	2	Toronto Maple Leafs	5	W			Sommaire du match
58	506	Toronto Maple Leafs	4	Philadelphia Flyers	3	W			Sommaire du match
59	516	Toronto Maple Leafs	3	Anaheim Ducks	4	L			Sommaire du match
60	532	Toronto Maple Leafs	1	Columbus Blue Jackets	2	L	X	X	Sommaire du match
62	543	Ottawa Senators	4	Toronto Maple Leafs	2	L			Sommaire du match
65	567	San Jose Sharks	2	Toronto Maple Leafs	6	W			Sommaire du match
66	576	Toronto Maple Leafs	4	San Jose Sharks	2	W			Sommaire du match
68	594	New Jersey Devils	2	Toronto Maple Leafs	7	W			Sommaire du match
71	619	Montreal Canadiens	1	Toronto Maple Leafs	7	W			Sommaire du match
73	639	Toronto Maple Leafs	3	Chicago Blackhawks	6	L			Sommaire du match
74	650	Toronto Maple Leafs	2	New York Islanders	1	W			Sommaire du match
76	662	Nashville Predators	4	Toronto Maple Leafs	5	W			Sommaire du match
78	680	Toronto Maple Leafs	3	Tampa Bay Lightning	2	W			Sommaire du match
79	693	Arizona Coyotes	2	Toronto Maple Leafs	3	W			Sommaire du match
81	715	Tampa Bay Lightning	6	Toronto Maple Leafs	7	W	X		Sommaire du match
83	733	Toronto Maple Leafs	7	Colorado Avalanche	4	W			Sommaire du match
85	745	New York Islanders	0	Toronto Maple Leafs	4	W			Sommaire du match
88	766	Toronto Maple Leafs	4	Ottawa Senators	2	W			Sommaire du match
89	776	Toronto Maple Leafs	2	Washington Capitals	6	L			Sommaire du match
90	790	Tampa Bay Lightning	4	Toronto Maple Leafs	2	L			Sommaire du match
93	807	Toronto Maple Leafs	5	Vegas Golden Knights	6	L			Sommaire du match
94	820	Minnesota Wild	3	Toronto Maple Leafs	4	W			Sommaire du match
96	842	Winnipeg Jets	2	Toronto Maple Leafs	0	L			Sommaire du match
98	859	Toronto Maple Leafs	3	Arizona Coyotes	5	L			Sommaire du match
100	878	Seattle Kraken	2	Toronto Maple Leafs	5	W			Sommaire du match
101	887	Toronto Maple Leafs	4	Pittsburgh Penguins	2	W			Sommaire du match
103	908	Columbus Blue Jackets	1	Toronto Maple Leafs	2	W	X	X	Sommaire du match
105	924	Toronto Maple Leafs	3	Minnesota Wild	5	L			Sommaire du match
106	929	Toronto Maple Leafs	5	Seattle Kraken	4	W			Sommaire du match
107	944	Toronto Maple Leafs	3	Dallas Stars	5	L			Sommaire du match
108	954	New York Rangers	1	Toronto Maple Leafs	4	W			Sommaire du match
112	981	Chicago Blackhawks	2	Toronto Maple Leafs	3	W	X	X	Sommaire du match
113	998	Toronto Maple Leafs	4	Nashville Predators	1	W			Sommaire du match
115	1006	Toronto Maple Leafs	2	Buffalo Sabres	1	W			Sommaire du match
116	1017	Edmonton Oilers	4	Toronto Maple Leafs	6	W			Sommaire du match
118	1034	Toronto Maple Leafs	2	Carolina Hurricanes	4	L			Sommaire du match
120	1049	Buffalo Sabres	7	Toronto Maple Leafs	3	L			Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
122	1072	Florida Panthers	3	Toronto Maple Leafs	4	W			Sommaire du match
123	1083	Toronto Maple Leafs	1	Florida Panthers	3	L			Sommaire du match
124	1091	Toronto Maple Leafs	3	New York Rangers	2	W			Sommaire du match
127	1115	Dallas Stars	5	Toronto Maple Leafs	4	L			Sommaire du match
129	1132	Toronto Maple Leafs	1	Boston Bruins	3	L			Sommaire du match
130	1146	Washington Capitals	6	Toronto Maple Leafs	2	L			Sommaire du match
132	1161	Toronto Maple Leafs	1	St. Louis Blues	3	L			Sommaire du match
133	1171	Toronto Maple Leafs	2	Edmonton Oilers	1	W			Sommaire du match
134	1183	Florida Panthers	2	Toronto Maple Leafs	5	W			Sommaire du match
137	1205	Toronto Maple Leafs	-	Los Angeles Kings	-
139	1216	Calgary Flames	-	Toronto Maple Leafs	-
142	1244	Boston Bruins	-	Toronto Maple Leafs	-
145	1265	Vancouver Canucks	-	Toronto Maple Leafs	-
149	1293	Vegas Golden Knights	-	Toronto Maple Leafs	-
150	1309	Toronto Maple Leafs	-	Buffalo Sabres	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	8000	5000	3000	5150	850
Prix des billets	78	33	25	19	175
Assistance	260,047	173,303	94,896	164,368	28,143
Attendance PCT	87.85%	93.68%	85.49%	86.26%	89.48%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
4	19480 - 88.55%	1,555,806$	57,564,811$	22000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
71,582,596$	82,213,042$	83,125,542$	0$	-2,250,000$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
82,213,042$	70,701,010$	0$	23	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
6,223,223$	18	547,454$	9,854,172$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
10,080,871$	62,134,808$	58,453,819$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
79,963,042$	2,536,958$	82,500,000$	18,963,042$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Jake Guentzel	AGE:29	PO:80	OV:80
Jake DeBrusk	AGE:27	PO:79	OV:77
David Perron	AGE:35	PO:74	OV:77
Pavel Zacha	AGE:26	PO:74	OV:75
Jujhar Khaira	AGE:29	PO:65	OV:70
Trevor Lewis	AGE:36	PO:65	OV:68
Phillip Di Giuseppe	AGE:30	PO:69	OV:67
Pierre Engvall	AGE:27	PO:67	OV:67
Brett Seney	AGE:27	PO:64	OV:64
Tim Gettinger	AGE:25	PO:61	OV:63
Max McCormick	AGE:31	PO:64	OV:62
Brendan Perlini	AGE:27	PO:61	OV:62
Nicholas Robertson	AGE:22	PO:65	OV:61
Nick Abruzzese (R)	AGE:24	PO:63	OV:58
Samuel Laberge	AGE:26	PO:58	OV:57

Auston Matthews	AGE:26	PO:83	OV:83
Jake Guentzel	AGE:29	PO:80	OV:80
Jonathan Toews	AGE:35	PO:73	OV:77
Pavel Zacha	AGE:26	PO:74	OV:75
Jujhar Khaira	AGE:29	PO:65	OV:70
David Kampf	AGE:28	PO:66	OV:69
Trevor Lewis	AGE:36	PO:65	OV:68
Michael Amadio	AGE:27	PO:68	OV:65
Brett Seney	AGE:27	PO:64	OV:64
Bobby McMann	AGE:27	PO:66	OV:61
Curtis Douglas (R)	AGE:23	PO:53	OV:60
Nick Abruzzese (R)	AGE:24	PO:63	OV:58
Adam Brooks	AGE:27	PO:58	OV:57
Mikhail Abramov (R)	AGE:22	PO:58	OV:57
Mitchell Hoelscher (R)	AGE:23	PO:58	OV:55
Shawn Element (R)	AGE:23	PO:57	OV:55

Mitchell Marner	AGE:26	PO:82	OV:82
Jake DeBrusk	AGE:27	PO:79	OV:77
David Perron	AGE:35	PO:74	OV:77
Stefan Noesen	AGE:30	PO:68	OV:71
David Kampf	AGE:28	PO:66	OV:69
Trevor Lewis	AGE:36	PO:65	OV:68
Joey Anderson	AGE:25	PO:67	OV:67
Pierre Engvall	AGE:27	PO:67	OV:67
Michael Amadio	AGE:27	PO:68	OV:65
Brendan Perlini	AGE:27	PO:61	OV:62
Walker Duehr	AGE:26	PO:67	OV:59
Connor Ford	AGE:25	PO:58	OV:56
Alex Whelan	AGE:26	PO:54	OV:55

Défense #1

Défense #2

Gardien

David Savard	AGE:33	PO:63	OV:76
Morgan Rielly	AGE:29	PO:65	OV:75
Gustav Forsling	AGE:27	PO:69	OV:73
Justin Holl	AGE:31	PO:62	OV:73
Nick Holden	AGE:36	PO:61	OV:70
Timothy Liljegren	AGE:24	PO:60	OV:69
Anton Stralman	AGE:37	PO:52	OV:67

Travis Dermott	AGE:27	PO:57	OV:63
Alex Petrovic	AGE:31	PO:55	OV:62
Parker Wotherspoon	AGE:26	PO:55	OV:58
William Villeneuve (R)	AGE:21	PO:51	OV:57
Mikko Kokkonen (R)	AGE:22	PO:51	OV:55
Mac Hollowell	AGE:25	PO:51	OV:55
Filip Kral (R)	AGE:24	PO:52	OV:54

Carter Hart	AGE:25	PO:74	OV:77
Frederik Andersen	AGE:34	PO:68	OV:74
Alex Stalock	AGE:36	PO:69	OV:69
Joseph Woll (R)	AGE:25	PO:62	OV:63
Erik Kallgren	AGE:27	PO:61	OV:63
Luke Richardson (R)	AGE:24	PO:64	OV:56
Jett Alexander	AGE:24	PO:55	OV:53

Espoirs

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Espoir	Nom de l’équipe	Année de repêchage	Choix total	Lien
Artur Akhtyamov	Toronto Maple Leafs	2020	136
Axel Rindell	Toronto Maple Leafs	2020	177
Cameron Whitehead	Toronto Maple Leafs	2022	133
Dmitry Ovchinnikov	Toronto Maple Leafs	2020	131
Joseph Duszak	Toronto Maple Leafs	0	0	Lien
Kristian Tanus	Toronto Maple Leafs	2019	143
Matthew Knies	Toronto Maple Leafs	2021	60
Olof Glifford	Toronto Maple Leafs	2023	155
Riley Stotts	Toronto Maple Leafs	2018	114
Scott Ratzlaff	Toronto Maple Leafs	2023	153
Topias Vilen	Toronto Maple Leafs	2021	129
Ty Voit	Toronto Maple Leafs	2021	152
Ty Young	Toronto Maple Leafs	2022	140
Veeti Miettinen	Toronto Maple Leafs	2020	105

Choix au repêchage

Année	R1	R2	R3	R4	R5
2024
2025
2026
2027
2028
Choix au repêchage conditionnel

Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.

Toronto Maple Leafs Historique de transactions

[2024-04-10 21:41:37] - TRADE : From Philadelphia Flyers to Toronto Maple Leafs : Frederik Andersen (74), $2,250,000 (Salary Cap Year 1).
[2024-04-10 21:41:37] - TRADE : From Toronto Maple Leafs to Philadelphia Flyers : Y:2024-RND:3-TOR.
[2023-12-02 20:31:07] - Trevor Lewis has been selected as assistant for Toronto Maple Leafs.
[2023-12-02 20:31:07] - Unknown Player is no longer as assistant for Toronto Maple Leafs.
[2023-12-02 20:31:07] - David Perron has been selected as assistant for Toronto Maple Leafs.
[2023-12-02 20:31:07] - Morgan Rielly is no longer as assistant for Toronto Maple Leafs.
[2023-12-02 20:31:07] - Jonathan Toews has been selected as captain for Toronto Maple Leafs.
[2023-12-02 20:31:07] - Jacob Trouba is no longer captain for Toronto Maple Leafs.
[2023-11-11 00:04:25] - Offer from Toronto Maple Leafs for Seth Griffith of $953,125 for 2 year(s) with $10,000 in bonus has been refused.
[2023-11-11 00:04:00] - Samuel Laberge signed with Toronto Maple Leafs for $937,500 for 1 year(s) / Signing Bonus of $400.
[2023-11-11 00:04:00] - Samuel Laberge was added to Toronto Maple Leafs.
[2023-11-11 00:01:04] - Max McCormick signed with Toronto Maple Leafs for $953,125 for 2 year(s) / Signing Bonus of $10,000.
[2023-11-11 00:01:04] - Max McCormick was added to Toronto Maple Leafs.
[2023-11-10 23:51:14] - Brendan Perlini signed with Toronto Maple Leafs for $937,500 for 1 year(s) / Signing Bonus of $10,000.
[2023-11-10 23:51:14] - Brendan Perlini was added to Toronto Maple Leafs.
[2023-11-10 23:47:34] - Alex Petrovic signed with Toronto Maple Leafs for $937,500 for 1 year(s) / Signing Bonus of $10,000.
[2023-11-10 23:47:34] - Alex Petrovic was added to Toronto Maple Leafs.
[2023-11-09 22:53:28] - Luke Richardson signed with Toronto Maple Leafs for $937,500 for 1 year(s).
[2023-11-09 22:53:28] - Luke Richardson was added to Toronto Maple Leafs.
[2023-11-09 22:50:58] - Jett Alexander signed with Toronto Maple Leafs for $937,500 for 1 year(s).
[2023-11-09 22:50:58] - Jett Alexander was added to Toronto Maple Leafs.
[2023-11-09 22:46:53] - Offer from Toronto Maple Leafs for Colin Blackwell of $1,500,000 for 2 year(s) with $0 in bonus has been refused.
[2023-11-08 22:39:31] - Parker Wotherspoon signed with Toronto Maple Leafs for $937,500 for 1 year(s) / Signing Bonus of $41,330.
[2023-11-08 22:39:31] - Parker Wotherspoon was added to Toronto Maple Leafs.
[2023-11-08 22:18:14] - Offer from Toronto Maple Leafs for Clay Stevenson of $1,068,750 for 2 year(s) with $41,400 in bonus has been refused.

[2024-04-23 21:23:58] Game 1183 - Jujhar Khaira from Toronto Maple Leafs is injured (Bruised Right Foot) and is out for 3 weeks.
[2024-04-23 21:23:49] Successfully loaded Toronto Maple Leafs lines done with Web Base Client from IP:188.149.119.233 .
[2024-04-21 20:08:14] Successfully loaded Toronto Maple Leafs lines done with Web Base Client from IP:88.87.57.5 .
[2024-04-19 23:38:24] Successfully loaded Toronto Maple Leafs lines done with Web Base Client from IP:31.208.153.252 .
[2024-04-18 19:26:12] Toronto Marlies lines for next game are empty. Current rosters/lines are not erased. But, Toronto Maple Leafs lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-17 19:42:14] Toronto Marlies lines for next game are empty. Current rosters/lines are not erased.
[2024-04-17 19:41:59] Successfully loaded Toronto Maple Leafs lines done with Web Base Client from IP:188.149.119.233 .
[2024-04-16 20:07:50] Toronto Marlies lines for next game are empty. Current rosters/lines are not erased. But, Toronto Maple Leafs lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-14 18:49:14] Toronto Marlies lines for next game are empty. Current rosters/lines are not erased.
[2024-04-14 18:49:12] Farm Game #1011 - Michael Amadio from Toronto Marlies has scored a Hat Trick!
[2024-04-13 18:59:12] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:95.193.187.124 .
[2024-04-11 20:44:47] Toronto Marlies lines for next game are empty. Current rosters/lines are not erased. But, Toronto Maple Leafs lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-10 22:05:42] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:90.228.226.98 .
[2024-04-10 22:01:49] Toronto Marlies lines for next game are empty. Current rosters/lines are not erased.
[2024-04-10 22:01:30] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:90.228.226.98 .
[2024-04-10 22:00:41] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:90.228.226.98 .
[2024-04-10 21:54:23] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:90.228.226.98 .
[2024-04-10 21:41:51] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:90.228.226.98 .
[2024-04-10 21:41:37] TRADE : From Philadelphia Flyers to Toronto Maple Leafs : Frederik Andersen (74), $2,250,000 (Salary Cap Year 1).
[2024-04-10 21:41:37] TRADE : From Toronto Maple Leafs to Philadelphia Flyers : Y:2024-RND:3-TOR.
[2024-04-09 19:12:59] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database.
[2024-04-08 20:18:39] Toronto Marlies lines for next game are empty. Current rosters/lines are not erased.
[2024-04-04 22:07:23] Toronto Marlies lines for next game are empty. Current rosters/lines are not erased.
[2024-04-04 22:06:57] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:90.228.226.98 .
[2024-04-03 20:49:39] Toronto Marlies lines for next game are empty. Current rosters/lines are not erased. But, Toronto Maple Leafs lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-03 20:49:31] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:90.228.226.98 .
[2024-04-02 20:13:21] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:188.149.119.233 .
[2024-03-31 21:28:26] Toronto Marlies lines for next game are empty. Current rosters/lines are not erased.
[2024-03-30 19:48:34] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:95.193.39.43 .
[2024-03-28 20:50:16] Toronto Marlies lines for next game are empty. Current rosters/lines are not erased. But, Toronto Maple Leafs lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-03-28 20:50:06] Successfully loaded Toronto Maple Leafs lines done with Web Base Client and SQLite Database from IP:188.149.119.233 .
[2024-03-26 12:16:59] Toronto Marlies lines for next game are empty. Current rosters/lines are not erased.

Jujhar Khaira est dehors pour 3 semaines à cause de Bruised Right Foot Injury.

Toronto Maple Leafs Leaders statistiques des joueurs (saison régulière)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Toronto Maple Leafs Leaders des statistiques des gardiens (saison régulière)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Toronto Maple Leafs Statistiques de l'Équipe de Carrière

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	Total											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

Toronto Maple Leafs Leaders statistiques des joueurs (séries éliminatoires)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Toronto Maple Leafs Leaders des statistiques des gardiens (séries éliminatoires)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Toronto Maple Leafs
	GP: 76 \| W: 44 \| L: 26 \| OTL: 6 \| P: 94 GF: 268 \| GA: 236 \| PP%: 21.18% \| PK%: 79.91% DG: Albin Cöster \| Morale : 69 \| Moyenne d’équipe : 73 #1205 vs Los Angeles Kings