Wilkes-Barre Scranton Penguins
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension

Centre de jeu
	Chicago Blackhawks 30-33-13, 73pts	3	FINAL	4	Pittsburgh Penguins 32-37-5, 69pts

Team Stats
W1	Séquence	W2
16-15-6	Fiche domicile	17-19-1
14-18-7	Fiche visiteur	15-18-4
5-5-0	Derniers 10 matchs	6-3-1
3.21	Buts par match	2.65
3.76	Buts contre par match	3.30
20.64%	Pourcentage en avantage numérique	20.86%
80.06%	Pourcentage en désavantage numérique	80.00%

Pittsburgh Penguins
32-37-5, 69pts

FINAL

Philadelphia Flyers
34-35-8, 76pts

Team Stats
W2	Séquence	SOL1
17-19-1	Fiche domicile	14-17-6
15-18-4	Fiche visiteur	20-18-2
6-3-1	Derniers 10 matchs	3-6-1
2.65	Buts par match	3.13
3.30	Buts contre par match	3.42
20.86%	Pourcentage en avantage numérique	18.48%
80.00%	Pourcentage en désavantage numérique	77.13%

New York Rangers
43-21-9, 95pts

Jour 137

Pittsburgh Penguins
32-37-5, 69pts

Statistiques d’équipe
W1	Séquence	W2
21-12-5	Fiche domicile	17-19-1
22-9-4	Fiche visiteur	15-18-4
6-3-1	10 derniers matchs	6-3-1
3.11	Buts par match	2.65
2.78	Buts contre par match	2.65
22.01%	Pourcentage en avantage numérique	20.86%
80.38%	Pourcentage en désavantage numérique	80.00%

Pittsburgh Penguins
32-37-5, 69pts

Jour 139

Columbus Blue Jackets
34-30-10, 78pts

Statistiques d’équipe
W2	Séquence	SOL2
17-19-1	Fiche domicile	18-14-6
15-18-4	Fiche visiteur	16-16-4
6-3-1	10 derniers matchs	6-2-2
2.65	Buts par match	3.15
3.30	Buts contre par match	3.15
20.86%	Pourcentage en avantage numérique	22.53%
80.00%	Pourcentage en désavantage numérique	81.69%

New York Islanders
41-25-9, 91pts

Jour 141

Pittsburgh Penguins
32-37-5, 69pts

Statistiques d’équipe
L1	Séquence	W2
21-10-6	Fiche domicile	17-19-1
20-15-3	Fiche visiteur	15-18-4
5-5-0	10 derniers matchs	6-3-1
3.20	Buts par match	2.65
2.96	Buts contre par match	2.65
19.55%	Pourcentage en avantage numérique	20.86%
81.49%	Pourcentage en désavantage numérique	80.00%

Meneurs d'équipe
	Buts Jonathan Huberdeau 29	Passes Jonathan Huberdeau 31

	Points Jonathan Huberdeau 60	Plus/Moins Jonathan Huberdeau 33

	Victoires Alexandar Georgiev 21	Pourcentage d’arrêts Alexandar Georgiev 0.897

Statistiques d’équipe
Buts pour 196 2.65 GFG	Tirs pour 2213 29.91 Avg	Pourcentage en avantage numérique 20.9% 58 GF	Début de zone offensive 36.1%
Buts contre 244 3.30 GAA	Tirs contre 2335 31.55 Avg	Pourcentage en désavantage numérique 80.0%% 68 GA	Début de la zone défensive 40.2%

Informations de l'équipe
	Directeur général	Christian Engvall Vagman
	Entraîneur	Christian Engvall Vagman
	Division	Metropolitan Division
	Conférence	Eastern Conference
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	Yellow Bridge Arena
	Capacité	22,000
	Assistance	19,750
	Billets de saison	11,000
Informations de la formation
	Équipe Pro	21
	Équipe Mineure	23
	Limite contact	44 / 60
	Espoirs	30
Plafond salarial Non Activé
	Cap Salarial de la Saison estimé	79,659,342$
	Plafond salarial disponible	2,840,658$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	21
Finance
	Revenu annuel à ce jour	55,970,617$
	Dépenses annuelles à ce jour	70,023,048$
	Revenus de la saison estimés	6,050,878$
	Dépenses de la saison estimées	9,021,118$
	Compte bancaire actuel	68,681,089$
	Compte bancaire projeté	65,735,728$

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	SP	Âge	Contrat	Salaire
1	Jonathan Huberdeau	0	X	X			100.00	70	43	88	86	74	75	97	82	33	85	79	62	66	81	82	70	82	76	0	30	1	5,900,000$
2	Tyler Johnson	0	X	X	X		100.00	73	42	91	88	62	74	60	81	56	80	74	64	63	77	83	71	51	73	0	33	2	5,000,000$
3	Jason Zucker	0		X	X		100.00	90	55	82	81	69	72	77	72	32	72	85	57	41	77	80	74	68	72	0	31	1	5,500,000$
4	Tomas Nosek	0	X	X			100.00	75	64	85	76	77	73	88	71	91	77	63	84	25	70	72	64	82	71	0	31	1	1,750,000$
5	Nathan Bastian	0			X		100.00	88	90	80	84	80	67	75	65	36	65	66	74	25	63	63	66	74	70	0	26	1	825,000$
6	Max Pacioretty	0		X			100.00	86	79	66	82	79	47	48	73	80	74	84	53	42	83	86	52	43	70	0	35	1	7,000,000$
7	Kailer Yamamoto	0	X	X	X		100.00	78	42	94	87	55	79	87	65	39	71	70	75	25	67	69	70	66	69	0	25	2	3,100,000$
8	Teddy Blueger	16	X	X	X		100.00	77	43	86	90	68	70	81	61	85	67	57	82	25	68	69	63	63	69	0	29	1	2,200,000$
9	Mason Appleton	0	X		X		100.00	75	44	95	80	72	78	71	57	30	70	61	74	25	67	68	65	49	67	0	27	1	2,166,667$
10	Radim Zohorna	0	X	X	X		100.00	81	85	81	78	85	72	75	59	76	60	56	70	55	50	50	59	59	66	0	27	1	750,000$
11	Luke Glendening	0	X	X			100.00	81	64	81	76	69	62	93	57	91	53	55	81	25	78	79	61	62	66	0	34	1	1,125,000$
12	Valtteri Puustinen (R)	0		X	X		100.00	70	62	89	68	65	84	89	65	50	65	64	59	60	47	47	62	57	63	0	24	1	842,500$
13	Jacob Trouba	0				X	100.00	93	88	75	87	79	88	99	70	25	64	49	88	25	80	80	65	76	76	0	29	2	8,000,000$
14	Jared Spurgeon	0				X	100.00	70	42	99	86	58	84	89	70	25	64	56	90	25	89	87	67	63	72	0	34	2	7,575,000$
15	Marcus Pettersson	28				X	100.00	85	65	75	81	69	86	87	60	25	65	47	82	25	70	72	62	58	71	0	27	2	4,025,175$
16	TJ Brodie	0				X	100.00	69	43	93	82	69	83	74	58	25	53	47	87	25	84	87	60	51	69	0	33	2	5,000,000$
17	John Klingberg	0				X	100.00	70	43	86	85	71	86	88	76	25	63	58	67	25	76	82	65	52	69	0	31	1	7,000,000$
18	Carson Soucy	0				X	100.00	82	60	76	79	81	69	88	58	25	50	47	80	25	74	70	59	55	68	0	29	1	2,750,000$
Rayé
1	Radim Simek	0				X	100.00	84	58	82	66	72	65	60	60	25	43	47	84	25	65	70	59	20	65	0	31	2	2,250,000$
Équipe Mineure
1	Filip Hallander (R)	0	X	X			100.00	76	70	83	71	72	69	71	66	81	64	65	62	59	47	47	62	82	62	0	23	1	764,167$
2	Julien Gauthier	0			X		100.00	82	46	97	77	84	52	72	58	35	60	70	58	25	64	64	65	52	62	0	26	1	800,000$
3	Lauri Pajuniemi (R)	0			X		100.00	76	71	85	67	73	72	76	59	50	55	62	62	57	47	47	60	79	60	0	24	1	883,750$
4	Felix Robert (R)	0	X				100.00	70	64	86	66	66	72	75	62	79	57	65	61	61	47	47	61	73	59	0	24	1	857,500$
5	Xavier Bourgault (R)	0	X				100.00	72	64	92	71	67	72	76	60	76	57	59	60	55	47	47	59	70	59	0	21	3	925,000$
6	Carsen Twarynski	0		X			100.00	73	73	72	63	73	80	87	55	50	47	59	59	58	48	48	59	65	58	0	26	1	750,000$
7	Jonathan Gruden (R)	0		X			100.00	65	62	71	66	64	77	82	59	50	55	62	57	57	47	47	58	77	58	0	23	1	788,333$
8	Anthony Angello	0	X				100.00	72	75	62	66	75	67	71	53	69	46	56	60	55	49	49	56	68	57	0	27	1	775,000$
9	Nathan Legare (R)	0			X		100.00	72	74	76	67	77	73	79	48	50	44	47	58	48	47	47	53	52	56	0	22	2	789,167$
10	Blake Murray (R)	0	X				100.00	76	70	94	67	71	59	61	50	65	52	46	61	45	46	46	54	55	56	0	22	2	791,667$
11	Filip Engaras (R)	0	X				100.00	79	74	90	64	74	55	57	48	60	38	53	63	50	44	44	55	26	55	0	24	1	750,000$
12	Greg Printz	0		X			100.00	76	79	70	63	79	55	57	50	50	47	47	62	45	44	44	54	24	55	0	25	1	750,000$
13	Pierre-Olivier Joseph	65				X	100.00	77	44	84	75	73	67	87	67	25	57	48	67	25	59	59	59	56	63	0	24	2	825,000$
14	Libor Hajek	0				X	100.00	76	44	92	77	76	62	54	53	25	39	51	71	25	60	60	55	58	61	0	25	1	800,000$
15	Adam Ginning (R)	0				X	100.00	77	78	71	66	80	70	76	49	25	42	40	60	39	47	47	51	76	58	0	23	1	883,750$
16	Xavier Bouchard (R)	0				X	100.00	76	76	75	67	79	57	60	45	25	35	38	59	37	47	47	48	35	55	0	23	1	937,500$
17	Christopher Merisier-Ortiz (R)	0				X	100.00	71	63	96	66	66	56	59	46	25	37	38	57	37	47	47	48	47	53	0	22	1	750,000$
18	Cooper Zech	0				X	100.00	69	63	90	68	64	53	55	44	25	32	40	57	39	47	47	48	58	52	0	25	1	750,000$
19	Lukas Svejkovsky (R)	0	X				100.00	68	60	96	69	62	65	69	49	65	51	44	56	44	47	46	52	39	54	0	22	3	859,167$
20	Kyle Olson	0			X		100.00	66	64	72	63	64	55	58	47	50	44	44	56	42	44	44	51	20	51	0	24	1	750,000$

	MOYENNE D’ÉQUIPE						100.00	76	62	84	74	72	69	75	60	48	56	56	67	40	60	61	60	58	63

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	SP	Âge	Contrat	Salaire
1	Alexandar Georgiev	0	98.00	88	77	85	67	89	88	86	88	86	88	88	64	65	83	81	81	0	27	3	3,400,000$
2	Tristan Jarry	31	100.00	75	82	79	76	75	80	83	76	79	75	75	64	65	75	78	75	0	28	1	3,500,000$
Rayé
Équipe Mineure
1	Calle Clang (R)	0	100.00	61	55	56	68	67	60	55	52	54	59	55	45	50	59	70	57	0	21	1	750,000$
2	Cory Schneider	0	100.00	54	50	63	80	58	57	45	54	55	56	30	72	72	53	54	56	0	37	1	750,000$
3	Filip Lindberg (R)	0	100.00	48	41	51	69	49	47	50	53	49	49	30	44	44	48	20	49	0	24	1	925,000$

	MOYENNE D’ÉQUIPE		99.60	65	61	67	72	68	66	64	65	65	65	56	58	59	64	61	64

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Christian Engvall Vagman	60	60	60	60	31	60	50	SWE	36	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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Jonathan Huberdeau	Pittsburgh Penguins	C/LW	75	29	31	60	33	20	0	60	57	164	62	126	17.68%	26	1028	13.71	1	4	5	6	50	1	0	1	4	35	5	3	32.03%	256	51	15	0	1	1.17	0	1	0	0	0	7	4	3
2	Tomas Nosek	Pittsburgh Penguins	C/LW	75	23	28	51	-3	43	5	98	129	150	38	108	15.33%	42	1361	18.15	6	12	18	27	170	2	2	4	8	254	3	0	53.19%	1145	25	34	0	0	0.75	1	2	0	0	1	5	3	4
3	Tyler Johnson	Pittsburgh Penguins	C/LW/RW	68	21	28	49	-30	20	0	85	71	215	74	128	9.77%	25	1239	18.23	10	14	24	46	202	0	1	1	4	89	1	0	37.87%	169	49	23	0	0	0.79	2	6	0	0	0	2	1	2
4	Teddy Blueger	Pittsburgh Penguins	C/LW/RW	74	13	25	38	-9	25	5	104	106	128	54	92	10.16%	23	1234	16.68	3	11	14	13	133	2	1	3	10	179	0	0	49.64%	558	46	23	0	0	0.62	0	0	0	0	0	0	2	4
5	Max Pacioretty	Pittsburgh Penguins	LW	54	15	19	34	-9	126	10	85	39	139	48	88	10.79%	21	803	14.89	3	7	10	13	100	1	0	1	1	31	3	2	66.67%	36	49	13	0	0	0.85	1	2	1	0	1	0	1	2
6	Jason Zucker	Pittsburgh Penguins	LW/RW	74	17	17	34	-21	63	5	107	54	109	45	77	15.60%	29	1313	17.76	11	7	18	31	218	0	0	0	0	65	3	1	40.86%	93	27	20	0	0	0.52	2	5	1	0	0	2	3	3
7	Kailer Yamamoto	Pittsburgh Penguins	C/LW/RW	74	15	17	32	-8	8	0	75	73	224	58	125	6.70%	27	1147	15.50	3	6	9	20	99	0	0	0	6	155	1	2	32.43%	74	53	24	0	0	0.56	0	0	0	0	0	2	2	1
8	Jacob Trouba	Pittsburgh Penguins	D	76	1	29	30	-5	189	75	129	137	111	40	44	0.90%	92	1827	24.04	1	9	10	14	264	0	1	1	2	244	0	0	0%	0	17	66	0	0	0.33	0	3	6	4	5	0	0	2
9	Nathan Bastian	Pittsburgh Penguins	RW	74	14	13	27	-13	56	30	91	61	137	42	111	10.22%	24	1069	14.46	2	5	7	9	116	0	0	0	0	12	3	0	49.02%	51	36	15	0	0	0.50	0	0	2	0	4	0	1	2
10	Jared Spurgeon	Pittsburgh Penguins	D	74	2	18	20	-7	4	0	57	100	85	41	36	2.35%	81	1588	21.47	2	4	6	10	215	0	3	3	5	266	1	0	0%	0	19	63	0	0	0.25	0	0	0	0	0	0	2	0
11	Radim Zohorna	Pittsburgh Penguins	C/LW/RW	71	2	15	17	-1	44	10	65	51	56	19	41	3.57%	12	680	9.58	0	0	0	0	7	0	0	0	0	19	0	0	45.09%	224	10	9	0	0	0.50	1	2	2	0	0	0	0	1
12	Mason Appleton	Pittsburgh Penguins	C/RW	74	7	9	16	-10	8	0	59	72	96	32	74	7.29%	20	909	12.29	0	1	1	0	12	0	0	0	0	6	1	0	32.70%	211	28	16	1	0	0.35	0	0	0	0	0	2	1	1
13	Luke Glendening	Pittsburgh Penguins	C/LW	74	8	8	16	-2	59	15	86	89	67	26	31	11.94%	26	1005	13.59	0	0	0	0	4	0	1	1	10	196	2	0	55.93%	767	9	19	1	0	0.32	0	0	0	1	2	0	0	2
14	Marcus Pettersson	Pittsburgh Penguins	D	74	2	12	14	-17	114	10	97	107	53	26	36	3.77%	74	1631	22.05	1	6	7	9	214	0	0	0	2	228	0	0	0%	0	15	64	0	0	0.17	0	0	0	0	2	0	1	0
15	John Klingberg	Pittsburgh Penguins	D	74	2	10	12	-26	48	0	51	72	77	26	24	2.60%	75	1394	18.85	0	1	1	10	155	1	1	2	5	163	0	0	0%	0	28	39	0	0	0.17	0	0	0	0	0	0	0	0
16	TJ Brodie	Pittsburgh Penguins	D	74	1	7	8	7	16	0	26	75	45	19	27	2.22%	66	1164	15.74	1	0	1	3	45	0	0	0	1	95	0	0	0%	0	5	44	0	0	0.14	0	0	0	0	0	0	0	0
17	Carson Soucy	Pittsburgh Penguins	D	74	1	5	6	-2	86	10	64	78	50	14	22	2.00%	77	1110	15.01	0	0	0	2	25	0	1	1	4	74	0	0	0%	0	4	35	0	0	0.11	0	0	0	1	0	0	0	1
18	Radim Simek	Pittsburgh Penguins	D	44	1	3	4	-6	18	0	24	30	16	5	12	6.25%	10	381	8.66	0	0	0	0	0	0	0	0	0	32	0	0	0%	7	0	9	0	0	0.21	0	0	0	0	0	0	1	0
19	Valtteri Puustinen	Pittsburgh Penguins	LW/RW	9	1	1	2	-4	2	0	5	4	10	3	2	10.00%	1	64	7.19	0	0	0	0	0	0	0	0	0	0	0	0	0%	3	1	1	0	0	0.62	0	0	0	0	0	0	0	0
20	Pierre-Olivier Joseph	Wilkes-Barre Scranton Penguins (PIT)	D	1	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0.67	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1287	175	295	470	-133	949	175	1368	1405	1932	672	1204	9.06%	751	20958	16.28	44	87	131	213	2038	7	11	18	62	2149	23	8	48.47%	3594	472	532	2	1	0.45	7	21	12	6	15	20	22	28

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
1	Alexandar Georgiev	Pittsburgh Penguins	53	21	28	3	0.897	3.30	2947	4	3	162	1576	685	4	1	0.739	23	52	22	8	3
2	Tristan Jarry	Pittsburgh Penguins	31	11	9	2	0.897	3.06	1531	0	0	78	757	365	0	1	0.714	7	22	52	2	1
Statistiques d’équipe totales ou en moyenne			84	32	37	5	0.897	3.22	4479	4	3	240	2333	1050	4	2		30	74	74	10	4

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	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
Alexandar Georgiev (contrat à 1 volet)	Pittsburgh Penguins	G	27	1996-12-31	No	178 Lbs	6 ft1	No	No	N/A		No	Yes	3	False	False	Pro Only	3,400,000$	3,400,000$	380,263$	No	3,400,000$	3,400,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Carson Soucy (contrat à 1 volet)	Pittsburgh Penguins	D	29	1994-12-31	No	210 Lbs	6 ft5	No	No	N/A		No	Yes	1	False	False	Pro Only	2,750,000$	2,750,000$	307,566$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Jacob Trouba (contrat à 1 volet)	Pittsburgh Penguins	D	29	1994-12-31	No	209 Lbs	6 ft3	No	No	Trade	2024-04-10	No	Yes	2	False	False	Pro Only	8,000,000$	8,000,000$	894,737$	No	8,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Jared Spurgeon (contrat à 1 volet)	Pittsburgh Penguins	D	34	1989-12-31	No	167 Lbs	5 ft9	No	No	N/A		No	Yes	2	False	False	Pro Only	7,575,000$	7,575,000$	847,204$	No	7,575,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Jason Zucker (contrat à 1 volet)	Pittsburgh Penguins	LW/RW	31	1992-12-31	No	192 Lbs	5 ft11	No	No	N/A		No	Yes	1	False	False	Pro Only	5,500,000$	5,500,000$	615,132$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
John Klingberg (contrat à 1 volet)	Pittsburgh Penguins	D	31	1992-12-31	No	185 Lbs	6 ft3	No	No	N/A		No	Yes	1	False	False	Pro Only	7,000,000$	7,000,000$	782,895$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Jonathan Huberdeau (contrat à 1 volet)	Pittsburgh Penguins	C/LW	30	1993-12-31	No	202 Lbs	6 ft1	No	No	Trade	2024-04-10	No	Yes	1	False	False	Pro Only	5,900,000$	5,900,000$	659,868$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Kailer Yamamoto (contrat à 1 volet)	Pittsburgh Penguins	C/LW/RW	25	1998-12-31	No	153 Lbs	5 ft8	No	No	N/A		No	Yes	2	False	False	Pro Only	3,100,000$	3,100,000$	346,711$	No	3,100,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Luke Glendening (contrat à 1 volet)	Pittsburgh Penguins	C/LW	34	1989-12-31	No	191 Lbs	5 ft11	No	No	N/A		No	Yes	1	False	False	Pro Only	1,125,000$	1,125,000$	125,822$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Marcus Pettersson (contrat à 1 volet)	Pittsburgh Penguins	D	27	1996-12-31	No	177 Lbs	6 ft3	No	No	N/A		No	Yes	2	False	False	Pro Only	4,025,175$	4,025,175$	450,184$	No	4,025,175$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Mason Appleton (contrat à 1 volet)	Pittsburgh Penguins	C/RW	27	1996-12-31	No	193 Lbs	6 ft2	No	No	N/A		No	Yes	1	False	False	Pro Only	2,166,667$	2,166,667$	242,325$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Max Pacioretty (contrat à 1 volet)	Pittsburgh Penguins	LW	35	1988-12-31	No	215 Lbs	6 ft2	No	No	N/A		No	Yes	1	False	False	Pro Only	7,000,000$	7,000,000$	782,895$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Nathan Bastian (contrat à 1 volet)	Pittsburgh Penguins	RW	26	1997-12-31	No	205 Lbs	6 ft4	No	No	N/A		No	Yes	1	False	False	Pro Only	825,000$	825,000$	92,270$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Radim Simek (contrat à 1 volet)	Pittsburgh Penguins	D	31	1992-12-31	No	200 Lbs	5 ft11	No	No	N/A		No	Yes	2	False	False	Pro Only	2,250,000$	2,250,000$	251,645$	No	2,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Radim Zohorna	Pittsburgh Penguins	C/LW/RW	27	1996-12-31	No	220 Lbs	6 ft6	No	No	N/A		No	Yes	1	False	False	Pro & Farm	750,000$	750,000$	83,882$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
TJ Brodie (contrat à 1 volet)	Pittsburgh Penguins	D	33	1990-12-31	No	185 Lbs	6 ft1	No	No	N/A		No	Yes	2	False	False	Pro Only	5,000,000$	5,000,000$	559,211$	No	5,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Teddy Blueger (contrat à 1 volet)	Pittsburgh Penguins	C/LW/RW	29	1994-12-31	No	185 Lbs	6 ft0	No	No	N/A		No	Yes	1	False	False	Pro Only	2,200,000$	2,200,000$	246,053$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Tomas Nosek (contrat à 1 volet)	Pittsburgh Penguins	C/LW	31	1992-12-31	No	205 Lbs	6 ft2	No	No	Trade	2023-12-28	No	Yes	1	False	False	Pro Only	1,750,000$	1,750,000$	195,724$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Tristan Jarry (contrat à 1 volet)	Pittsburgh Penguins	G	28	1995-12-31	No	194 Lbs	6 ft2	No	No	N/A		No	Yes	1	False	False	Pro Only	3,500,000$	3,500,000$	391,447$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Tyler Johnson (contrat à 1 volet)	Pittsburgh Penguins	C/LW/RW	33	1990-12-31	No	182 Lbs	5 ft8	No	No	N/A		No	Yes	2	False	False	Pro Only	5,000,000$	5,000,000$	559,211$	No	5,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Valtteri Puustinen	Pittsburgh Penguins	LW/RW	24	1999-12-31	Yes	179 Lbs	5 ft9	No	No	N/A		No	No	1	False	False	Pro & Farm	842,500$	842,500$	94,227$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	29.57	192 Lbs	6 ft1	1.43	3,793,302$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
79,659,342$	38,350,175$	3,400,000$	0$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Jonathan Huberdeau	Tomas Nosek	Jason Zucker	30	1	0	4
2	Max Pacioretty	Teddy Blueger	Tyler Johnson	30	1	1	3
3	Kailer Yamamoto	Luke Glendening	Nathan Bastian	30	2	3	0
4	Valtteri Puustinen	Radim Zohorna	Mason Appleton	10	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jacob Trouba	Marcus Pettersson	40	2	3	0
2	Jared Spurgeon	TJ Brodie	30	1	4	0
3	John Klingberg	Carson Soucy	30	0	3	2
4	Jared Spurgeon	Jacob Trouba	0	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Jonathan Huberdeau	Tomas Nosek	Jason Zucker	50	1	0	4
2	Max Pacioretty	Teddy Blueger	Tyler Johnson	50	1	0	4

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jacob Trouba	Marcus Pettersson	50	1	2	2
2	Jared Spurgeon	John Klingberg	50	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Luke Glendening	Teddy Blueger	50	1	2	2
2	Tomas Nosek	Kailer Yamamoto	50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jacob Trouba	Jared Spurgeon	50	1	2	2
2	Marcus Pettersson	TJ Brodie	50	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Luke Glendening	50	1	2	2	Jacob Trouba	Jared Spurgeon	50	1	2	2
2	Teddy Blueger	50	1	2	2	TJ Brodie	Marcus Pettersson	50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Luke Glendening	Jason Zucker	50	1	2	2
2	Tomas Nosek	Max Pacioretty	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jacob Trouba	Marcus Pettersson	50	1	2	2
2	Jared Spurgeon	John Klingberg	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Max Pacioretty	Tyler Johnson	Jason Zucker	Jared Spurgeon	John Klingberg

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Luke Glendening	Tomas Nosek	Teddy Blueger	Jared Spurgeon	Jacob Trouba

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Kailer Yamamoto, Mason Appleton, Luke Glendening	Kailer Yamamoto, Mason Appleton	Luke Glendening

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
TJ Brodie, Carson Soucy, Marcus Pettersson	TJ Brodie	Carson Soucy, John Klingberg

Tirs de pénalité
Jonathan Huberdeau, Jason Zucker, Tomas Nosek, Max Pacioretty, Nathan Bastian

Gardien
#1 : Alexandar Georgiev, #2 : Tristan Jarry

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	2	2	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	3	0	3	1	1	0	0	0	0	0	0	5	3	2	4	1.000	8	13	21	0	1	5	2	1	0	51	19	24	8	0	54	17	21	41	7	1	14.29%	8	0	100.00%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	38	19	45	18	36	18
2	Arizona Coyotes	1	0	0	0	0	0	1	0	2	1	1	1	0	0	0	0	0	1	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	2	4	0	0	0	1	0	2	33	6	17	10	2	28	7	10	15	4	0	0.00%	5	0	100.00%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	22	12	22	10	20	10
3	Boston Bruins	2	0	2	0	0	0	0	0	2	8	-6	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	0	3	-3	0	0.000	2	2	4	0	0	1	0	1	0	66	28	18	20	0	72	19	6	47	7	2	28.57%	3	2	33.33%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	40	22	45	17	34	17
4	Buffalo Sabres	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	4	1.000	8	14	22	0	0	2	4	2	0	64	19	29	16	0	64	23	13	36	12	4	33.33%	4	1	75.00%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	41	23	43	17	34	18
5	Calgary Flames	2	1	1	0	0	0	0	0	2	2	0	1	1	0	0	0	0	0	0	2	1	1	1	0	1	0	0	0	0	0	0	1	-1	2	0.500	2	3	5	0	0	0	2	0	0	50	9	18	23	0	66	27	18	44	7	0	0.00%	9	0	100.00%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	38	19	45	18	35	18
6	Carolina Hurricanes	4	1	2	0	0	0	0	1	9	13	-4	2	1	1	0	0	0	0	0	6	8	-2	2	0	1	0	0	0	0	1	3	5	-2	3	0.375	9	17	26	0	0	3	2	4	1	106	32	32	42	4	128	36	52	67	14	2	14.29%	22	3	86.36%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	83	43	85	39	75	37
7	Chicago Blackhawks	2	1	1	0	0	0	0	0	5	10	-5	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	1	7	-6	2	0.500	5	10	15	0	0	1	3	1	0	57	17	22	18	0	69	29	41	43	7	3	42.86%	13	2	84.62%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	41	23	45	18	33	16
8	Colorado Avalanche	2	2	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	1	0	1	4	1.000	6	9	15	0	1	1	2	3	0	70	30	14	26	0	61	26	18	36	3	2	66.67%	9	0	100.00%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	40	23	46	18	33	15
9	Columbus Blue Jackets	3	1	2	0	0	0	0	0	9	9	0	2	1	1	0	0	0	0	0	6	5	1	1	0	1	0	0	0	0	0	3	4	-1	2	0.333	9	15	24	0	0	3	4	2	0	87	18	35	34	0	95	32	12	47	10	2	20.00%	6	0	100.00%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	62	35	63	26	53	27
10	Dallas Stars	2	0	1	0	0	0	1	0	6	8	-2	1	0	1	0	0	0	0	0	2	5	-3	1	0	0	0	0	0	1	0	4	3	1	2	0.500	6	8	14	0	0	1	2	2	1	64	26	9	29	3	61	16	14	32	7	0	0.00%	7	1	85.71%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	41	21	43	20	39	20
11	Detroit Red Wings	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	2	6	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	0	2	0	0	40	9	16	15	0	36	8	10	12	6	1	16.67%	5	3	40.00%	1	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	22	13	21	9	16	7
12	Edmonton Oilers	3	0	3	0	0	0	0	0	4	14	-10	2	0	2	0	0	0	0	0	3	11	-8	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	4	7	11	0	0	1	2	1	0	86	29	24	33	0	91	29	26	59	14	1	7.14%	13	4	69.23%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	62	33	63	27	53	28
13	Florida Panthers	4	1	2	0	0	1	0	0	7	13	-6	2	1	1	0	0	0	0	0	3	4	-1	2	0	1	0	0	1	0	0	4	9	-5	3	0.375	7	11	18	0	1	0	2	5	0	107	25	39	41	2	138	41	32	79	17	3	17.65%	16	5	68.75%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	80	44	92	38	69	35
14	Los Angeles Kings	2	0	1	0	0	0	1	0	5	6	-1	1	0	1	0	0	0	0	0	2	4	-2	1	0	0	0	0	0	1	0	3	2	1	2	0.500	5	7	12	0	0	2	2	0	1	71	24	28	19	3	57	21	16	26	11	3	27.27%	8	1	87.50%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	43	23	41	19	39	20
15	Minnesota Wild	2	0	1	0	0	0	1	0	6	7	-1	2	0	1	0	0	0	1	0	6	7	-1	0	0	0	0	0	0	0	0	0	0	0	2	0.500	6	8	14	0	0	1	2	2	3	63	18	27	17	8	67	21	30	44	7	0	0.00%	10	3	70.00%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	43	24	43	18	38	19
16	Montreal Canadiens	2	1	1	0	0	0	0	0	8	7	1	1	0	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	5	2	3	2	0.500	8	12	20	0	0	2	1	5	0	70	14	31	25	0	66	21	25	43	5	2	40.00%	10	1	90.00%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	44	25	41	17	34	16
17	Nashville Predators	2	1	0	0	0	1	0	0	5	5	0	1	0	0	0	0	1	0	0	3	4	-1	1	1	0	0	0	0	0	0	2	1	1	3	0.750	5	7	12	0	0	2	2	1	0	48	19	16	13	0	55	21	29	33	7	3	42.86%	12	1	91.67%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	39	19	45	19	36	16
18	New Jersey Devils	4	0	4	0	0	0	0	0	8	18	-10	2	0	2	0	0	0	0	0	3	9	-6	2	0	2	0	0	0	0	0	5	9	-4	0	0.000	8	13	21	0	0	3	3	2	0	126	45	39	42	0	125	39	28	67	14	4	28.57%	14	4	71.43%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	83	48	86	37	70	32
19	New York Islanders	3	2	1	0	0	0	0	0	10	8	2	1	1	0	0	0	0	0	0	5	1	4	2	1	1	0	0	0	0	0	5	7	-2	4	0.667	10	17	27	0	0	2	7	1	0	95	27	33	35	0	89	33	54	48	15	3	20.00%	22	4	81.82%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	61	33	65	29	52	25
20	New York Rangers	3	1	2	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	2	3	-1	2	1	1	0	0	0	0	0	3	5	-2	2	0.333	5	9	14	0	0	0	1	4	0	74	24	19	31	0	102	34	16	53	10	2	20.00%	8	1	87.50%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	53	27	72	29	54	25
21	Ottawa Senators	2	1	1	0	0	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	4	3	1	2	0.500	6	9	15	1	0	1	2	3	0	62	12	19	31	0	57	15	32	42	8	2	25.00%	11	3	72.73%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	41	23	42	17	35	17
22	Philadelphia Flyers	4	1	2	0	0	0	1	0	16	20	-4	2	1	1	0	0	0	0	0	8	10	-2	2	0	1	0	0	0	1	0	8	10	-2	4	0.500	16	25	41	0	0	5	5	5	2	127	45	43	35	7	120	39	51	61	10	1	10.00%	18	7	61.11%	1	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	82	45	89	38	72	36
23	San Jose Sharks	2	1	0	0	0	0	1	0	8	6	2	1	1	0	0	0	0	0	0	4	3	1	1	0	0	0	0	0	1	0	4	3	1	4	1.000	8	10	18	0	0	4	1	2	3	60	20	14	26	5	55	25	57	39	6	1	16.67%	11	3	72.73%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	42	21	43	19	38	19
24	Seattle Kraken	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	2	2	4	0	0	2	0	0	0	33	9	12	12	0	41	18	16	18	3	1	33.33%	8	0	100.00%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	19	11	23	8	16	7
25	St. Louis Blues	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	6	12	18	0	0	0	3	3	0	66	13	27	26	0	69	18	14	37	9	1	11.11%	7	2	71.43%	1	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	42	23	42	18	34	18
26	Tampa Bay Lightning	3	2	0	0	0	0	0	1	9	7	2	1	1	0	0	0	0	0	0	4	2	2	2	1	0	0	0	0	0	1	5	5	0	5	0.833	9	16	25	0	0	4	4	1	1	88	28	42	18	4	78	22	22	65	19	5	26.32%	11	0	100.00%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	67	36	63	28	54	28
27	Toronto Maple Leafs	2	1	1	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	3	1	2	2	0.500	5	10	15	0	0	1	3	1	0	57	8	28	21	0	77	26	24	26	5	1	20.00%	12	3	75.00%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	34	17	50	19	35	16
28	Vancouver Canucks	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	1	0	0	0	31	4	16	11	0	30	14	17	19	2	0	0.00%	6	0	100.00%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	19	10	21	9	19	8
29	Vegas Golden Knights	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	2	5	-3	2	0.500	6	9	15	0	0	3	1	2	0	54	15	10	29	0	64	24	24	39	7	2	28.57%	12	3	75.00%	2	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	38	19	44	19	36	17
30	Washington Capitals	4	0	2	0	1	1	0	0	14	18	-4	2	0	1	0	1	0	0	0	8	9	-1	2	0	1	0	0	1	0	0	6	9	-3	3	0.375	14	21	35	0	0	1	6	6	1	121	25	53	42	1	119	33	55	76	12	3	25.00%	26	7	73.08%	3	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	79	40	86	39	74	36
31	Winnipeg Jets	3	1	2	0	0	0	0	0	6	9	-3	1	0	1	0	0	0	0	0	2	4	-2	2	1	1	0	0	0	0	0	4	5	-1	2	0.333	6	11	17	1	0	1	3	2	0	86	33	25	28	0	101	33	33	58	13	3	23.08%	14	4	71.43%	0	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	63	36	66	26	49	25
	Total	74	25	37	0	1	3	6	2	196	244	-48	37	14	19	0	1	1	2	0	106	125	-19	37	11	18	0	0	2	4	2	90	119	-29	69	0.466	196	315	511	2	3	53	74	62	15	2213	650	779	776	39	2335	767	816	1352	278	58	20.86%	340	68	80.00%	8	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	1516	825	1638	699	1329	660
	_Since Last GM Reset	74	25	37	0	1	3	6	2	196	244	-48	37	14	19	0	1	1	2	0	106	125	-19	37	11	18	0	0	2	4	2	90	119	-29	69	0.466	196	315	511	2	3	53	74	62	15	2213	650	779	776	39	2335	767	816	1352	278	58	20.86%	340	68	80.00%	8	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	1516	825	1638	699	1329	660
	_Vs Conference	43	14	23	0	1	2	1	2	118	151	-33	21	7	13	0	1	0	0	0	60	77	-17	22	7	10	0	0	2	1	2	58	74	-16	36	0.419	118	195	313	1	1	28	46	42	5	1290	359	476	448	18	1366	421	432	769	164	37	22.56%	188	44	76.60%	5	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	878	481	951	405	767	381
	_Vs Division	25	6	15	0	1	1	1	1	71	94	-23	12	4	7	0	1	0	0	0	38	45	-7	13	2	8	0	0	1	1	1	33	49	-16	18	0.360	71	117	188	0	0	17	28	24	4	736	216	254	261	12	778	246	268	419	85	17	20.00%	116	26	77.59%	4	815	1636	49.82%	921	1821	50.58%	509	1072	47.48%	507	274	550	239	452	222

			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
74	69	W2	196	315	511	2213	2335	767	816	1352	2	3

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
74	25	37	1	3	6	2	196	244

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
37	14	19	1	1	2	0	106	125

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
37	11	18	0	2	4	2	90	119

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
6	3	0	1	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
278	58	20.86%	340	68	80.00%	8

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
650	779	776	39	53	74	62	15

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
815	1636	49.82%	921	1821	50.58%	509	1072	47.48%

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
1516	825	1638	699	1329	660

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
2	14	Carolina Hurricanes	4	Pittsburgh Penguins	5	W			Sommaire du match
4	33	Florida Panthers	0	Pittsburgh Penguins	2	W			Sommaire du match
5	44	Pittsburgh Penguins	3	Tampa Bay Lightning	2	W			Sommaire du match
7	66	New York Rangers	3	Pittsburgh Penguins	2	L			Sommaire du match
9	79	Pittsburgh Penguins	2	New Jersey Devils	3	L			Sommaire du match
10	93	Pittsburgh Penguins	1	Carolina Hurricanes	2	L	X	X	Sommaire du match
13	112	Columbus Blue Jackets	4	Pittsburgh Penguins	2	L			Sommaire du match
14	123	Pittsburgh Penguins	2	Florida Panthers	6	L			Sommaire du match
16	136	Philadelphia Flyers	7	Pittsburgh Penguins	4	L			Sommaire du match
18	153	Pittsburgh Penguins	3	Philadelphia Flyers	6	L			Sommaire du match
20	171	Minnesota Wild	4	Pittsburgh Penguins	2	L			Sommaire du match
22	194	Edmonton Oilers	7	Pittsburgh Penguins	2	L			Sommaire du match
24	203	Pittsburgh Penguins	1	New York Rangers	4	L			Sommaire du match
26	225	New Jersey Devils	4	Pittsburgh Penguins	0	L			Sommaire du match
27	232	Pittsburgh Penguins	1	New York Islanders	4	L			Sommaire du match
30	259	Washington Capitals	5	Pittsburgh Penguins	3	L			Sommaire du match
32	273	Pittsburgh Penguins	3	Toronto Maple Leafs	1	W			Sommaire du match
33	290	Pittsburgh Penguins	4	Dallas Stars	3	W	X	X	Sommaire du match
35	301	Dallas Stars	5	Pittsburgh Penguins	2	L			Sommaire du match
37	321	Pittsburgh Penguins	4	Buffalo Sabres	2	W			Sommaire du match
38	332	Ottawa Senators	4	Pittsburgh Penguins	2	L			Sommaire du match
40	350	Pittsburgh Penguins	3	Los Angeles Kings	2	W	X	X	Sommaire du match
41	364	Philadelphia Flyers	3	Pittsburgh Penguins	4	W			Sommaire du match
44	387	Washington Capitals	4	Pittsburgh Penguins	5	W	X		Sommaire du match
45	399	Pittsburgh Penguins	4	Ottawa Senators	3	W			Sommaire du match
47	414	Pittsburgh Penguins	4	Washington Capitals	5	L	X		Sommaire du match
49	430	Vegas Golden Knights	1	Pittsburgh Penguins	4	W			Sommaire du match
51	447	Pittsburgh Penguins	1	Colorado Avalanche	0	W			Sommaire du match
52	460	Arizona Coyotes	1	Pittsburgh Penguins	2	W	X	X	Sommaire du match
54	478	Pittsburgh Penguins	2	Carolina Hurricanes	3	L			Sommaire du match
56	494	Minnesota Wild	3	Pittsburgh Penguins	4	W	X	X	Sommaire du match
58	511	Pittsburgh Penguins	4	San Jose Sharks	3	W	X	X	Sommaire du match
60	524	St. Louis Blues	2	Pittsburgh Penguins	4	W			Sommaire du match
61	540	Pittsburgh Penguins	1	Chicago Blackhawks	7	L			Sommaire du match
63	557	Anaheim Ducks	0	Pittsburgh Penguins	3	W			Sommaire du match
66	578	Pittsburgh Penguins	2	Seattle Kraken	5	L			Sommaire du match
67	589	Detroit Red Wings	6	Pittsburgh Penguins	2	L			Sommaire du match
70	615	Edmonton Oilers	4	Pittsburgh Penguins	1	L			Sommaire du match
72	631	Pittsburgh Penguins	1	Winnipeg Jets	3	L			Sommaire du match
73	643	Pittsburgh Penguins	1	Vancouver Canucks	3	L			Sommaire du match
75	655	Montreal Canadiens	5	Pittsburgh Penguins	3	L			Sommaire du match
77	675	San Jose Sharks	3	Pittsburgh Penguins	4	W			Sommaire du match
79	695	Pittsburgh Penguins	5	Montreal Canadiens	2	W			Sommaire du match
80	704	Pittsburgh Penguins	5	Anaheim Ducks	3	W			Sommaire du match
82	720	New Jersey Devils	5	Pittsburgh Penguins	3	L			Sommaire du match
84	739	Pittsburgh Penguins	2	Nashville Predators	1	W			Sommaire du match
86	750	Calgary Flames	1	Pittsburgh Penguins	2	W			Sommaire du match
88	769	Pittsburgh Penguins	2	Tampa Bay Lightning	3	L	X	X	Sommaire du match
90	783	Carolina Hurricanes	4	Pittsburgh Penguins	1	L			Sommaire du match
92	803	Pittsburgh Penguins	0	Boston Bruins	3	L			Sommaire du match
93	815	Buffalo Sabres	2	Pittsburgh Penguins	4	W			Sommaire du match
95	835	Boston Bruins	5	Pittsburgh Penguins	2	L			Sommaire du match
97	851	Pittsburgh Penguins	4	New York Islanders	3	W			Sommaire du match
99	867	Pittsburgh Penguins	1	Edmonton Oilers	3	L			Sommaire du match
100	879	Pittsburgh Penguins	2	St. Louis Blues	4	L			Sommaire du match
101	887	Toronto Maple Leafs	4	Pittsburgh Penguins	2	L			Sommaire du match
103	911	Tampa Bay Lightning	2	Pittsburgh Penguins	4	W			Sommaire du match
106	930	Pittsburgh Penguins	2	New York Rangers	1	W			Sommaire du match
107	943	Florida Panthers	4	Pittsburgh Penguins	1	L			Sommaire du match
110	964	Winnipeg Jets	4	Pittsburgh Penguins	2	L			Sommaire du match
112	980	Pittsburgh Penguins	0	Calgary Flames	1	L			Sommaire du match
113	996	Los Angeles Kings	4	Pittsburgh Penguins	2	L			Sommaire du match
116	1018	Pittsburgh Penguins	2	Florida Panthers	3	L	X		Sommaire du match
118	1030	Pittsburgh Penguins	2	Washington Capitals	4	L			Sommaire du match
119	1041	Columbus Blue Jackets	1	Pittsburgh Penguins	4	W			Sommaire du match
121	1063	Colorado Avalanche	2	Pittsburgh Penguins	5	W			Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
122	1073	Pittsburgh Penguins	3	New Jersey Devils	6	L			Sommaire du match
124	1094	Nashville Predators	4	Pittsburgh Penguins	3	L	X		Sommaire du match
126	1112	Pittsburgh Penguins	2	Vegas Golden Knights	5	L			Sommaire du match
128	1126	New York Islanders	1	Pittsburgh Penguins	5	W			Sommaire du match
131	1148	Pittsburgh Penguins	3	Winnipeg Jets	2	W			Sommaire du match
132	1156	Pittsburgh Penguins	3	Columbus Blue Jackets	4	L			Sommaire du match
133	1167	Chicago Blackhawks	3	Pittsburgh Penguins	4	W			Sommaire du match
135	1184	Pittsburgh Penguins	5	Philadelphia Flyers	4	W	X	X	Sommaire du match
137	1200	New York Rangers	-	Pittsburgh Penguins	-
139	1221	Pittsburgh Penguins	-	Columbus Blue Jackets	-
141	1230	New York Islanders	-	Pittsburgh Penguins	-
143	1253	Vancouver Canucks	-	Pittsburgh Penguins	-
144	1255	Pittsburgh Penguins	-	Arizona Coyotes	-
146	1278	Pittsburgh Penguins	-	Minnesota Wild	-
148	1289	Pittsburgh Penguins	-	Detroit Red Wings	-
150	1307	Seattle Kraken	-	Pittsburgh Penguins	-

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	80	39	25	19	175
Assistance	244,505	176,664	104,374	175,675	29,524
Attendance PCT	82.60%	95.49%	94.03%	92.19%	93.88%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
4	19750 - 89.77%	1,512,719$	55,970,617$	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
70,023,048$	79,659,342$	79,659,342$	0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
79,659,342$	69,134,883$	0$	21	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
6,050,878$	17	530,654$	9,021,118$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
9,183,908$	68,681,089$	65,735,728$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
79,659,342$	2,840,658$	82,500,000$	18,659,342$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Jonathan Huberdeau	AGE:30	PO:70	OV:76
Tyler Johnson	AGE:33	PO:71	OV:73
Jason Zucker	AGE:31	PO:74	OV:72
Tomas Nosek	AGE:31	PO:64	OV:71
Max Pacioretty	AGE:35	PO:52	OV:70
Kailer Yamamoto	AGE:25	PO:70	OV:69
Teddy Blueger	AGE:29	PO:63	OV:69
Luke Glendening	AGE:34	PO:61	OV:66
Radim Zohorna	AGE:27	PO:59	OV:66
Valtteri Puustinen (R)	AGE:24	PO:62	OV:63
Filip Hallander (R)	AGE:23	PO:62	OV:62
Carsen Twarynski	AGE:26	PO:59	OV:58
Jonathan Gruden (R)	AGE:23	PO:58	OV:58
Greg Printz	AGE:25	PO:54	OV:55

Jonathan Huberdeau	AGE:30	PO:70	OV:76
Tyler Johnson	AGE:33	PO:71	OV:73
Tomas Nosek	AGE:31	PO:64	OV:71
Kailer Yamamoto	AGE:25	PO:70	OV:69
Teddy Blueger	AGE:29	PO:63	OV:69
Mason Appleton	AGE:27	PO:65	OV:67
Luke Glendening	AGE:34	PO:61	OV:66
Radim Zohorna	AGE:27	PO:59	OV:66
Filip Hallander (R)	AGE:23	PO:62	OV:62
Felix Robert (R)	AGE:24	PO:61	OV:59
Xavier Bourgault (R)	AGE:21	PO:59	OV:59
Anthony Angello	AGE:27	PO:56	OV:57
Blake Murray (R)	AGE:22	PO:54	OV:56
Filip Engaras (R)	AGE:24	PO:55	OV:55
Lukas Svejkovsky (R)	AGE:22	PO:52	OV:54

Tyler Johnson	AGE:33	PO:71	OV:73
Jason Zucker	AGE:31	PO:74	OV:72
Nathan Bastian	AGE:26	PO:66	OV:70
Kailer Yamamoto	AGE:25	PO:70	OV:69
Teddy Blueger	AGE:29	PO:63	OV:69
Mason Appleton	AGE:27	PO:65	OV:67
Radim Zohorna	AGE:27	PO:59	OV:66
Valtteri Puustinen (R)	AGE:24	PO:62	OV:63
Julien Gauthier	AGE:26	PO:65	OV:62
Lauri Pajuniemi (R)	AGE:24	PO:60	OV:60
Nathan Legare (R)	AGE:22	PO:53	OV:56
Kyle Olson	AGE:24	PO:51	OV:51

Défense #1

Défense #2

Gardien

Jacob Trouba	AGE:29	PO:65	OV:76
Jared Spurgeon	AGE:34	PO:67	OV:72
Marcus Pettersson	AGE:27	PO:62	OV:71
John Klingberg	AGE:31	PO:65	OV:69
TJ Brodie	AGE:33	PO:60	OV:69
Carson Soucy	AGE:29	PO:59	OV:68
Radim Simek	AGE:31	PO:59	OV:65

Pierre-Olivier Joseph	AGE:24	PO:59	OV:63
Libor Hajek	AGE:25	PO:55	OV:61
Adam Ginning (R)	AGE:23	PO:51	OV:58
Xavier Bouchard (R)	AGE:23	PO:48	OV:55
Christopher Merisier-Ortiz (R)	AGE:22	PO:48	OV:53
Cooper Zech	AGE:25	PO:48	OV:52

Alexandar Georgiev	AGE:27	PO:83	OV:81
Tristan Jarry	AGE:28	PO:75	OV:75
Calle Clang (R)	AGE:21	PO:59	OV:57
Cory Schneider	AGE:37	PO:53	OV:56
Filip Lindberg (R)	AGE:24	PO:48	OV:49

Espoirs

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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
Aaron Pionk	Pittsburgh Penguins	2023	126
Adam Gajan	Pittsburgh Penguins	2023	46
Ben Macdonald	Pittsburgh Penguins	2022	105
Brett Berard	Pittsburgh Penguins	2020	102
Brody Lamb	Pittsburgh Penguins	2021	104
Cameron Lund	Pittsburgh Penguins	2022	41
Cole OHara	Pittsburgh Penguins	2022	124
Daniil Orlov	Pittsburgh Penguins	2022	119
Hugo Gabrielson	Pittsburgh Penguins	2021	169
Hugo Ollas	Pittsburgh Penguins	2020	197
Hunter Haight	Pittsburgh Penguins	2022	56
Isaac Belliveau	Pittsburgh Penguins	2021	153
Ivan Miroshnichenko	Pittsburgh Penguins	2022	24
Jakub Dvorak	Pittsburgh Penguins	2023	62
Jaroslav Chmelar	Pittsburgh Penguins	2021	150
Joel Blomqvist	Pittsburgh Penguins	2020	58
Juha Jatkola	Pittsburgh Penguins	2023	123
Kalan Lind	Pittsburgh Penguins	2023	55
Kenny Connors	Pittsburgh Penguins	2022	112
Matyas Sapovaliv	Pittsburgh Penguins	2022	64
Nico Myatovic	Pittsburgh Penguins	2023	31
Noah Laba	Pittsburgh Penguins	2022	120
Oskar Pettersson	Pittsburgh Penguins	2022	77
Quinn Olson	Pittsburgh Penguins	2019	120
Rasmus Larsson	Pittsburgh Penguins	2023	149
Ryan McCleary	Pittsburgh Penguins	2021	194
Stanislav Yarovoi	Pittsburgh Penguins	2023	94
Tristan Broz	Pittsburgh Penguins	2021	57
Viktor Neuchev	Pittsburgh Penguins	2022	79
Vilmer Alriksson	Pittsburgh Penguins	2023	102

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.

Pittsburgh Penguins Historique de transactions

[2024-04-10 21:42:23] - TRADE : From Winnipeg Jets to Pittsburgh Penguins : Y:2024-RND:2-WPG.
[2024-04-10 21:41:28] - TRADE : From Pittsburgh Penguins to Winnipeg Jets : Alexander Nylander (66), Erik Karlsson (77).
[2024-04-10 21:41:28] - TRADE : From Winnipeg Jets to Pittsburgh Penguins : Jacob Trouba (76), Jonathan Huberdeau (76), Y:2024-RND:1-TOR.
[2024-04-10 19:12:15] - TRADE : From Pittsburgh Penguins to Ottawa Senators : Y:2025-RND:2-PIT.
[2024-03-05 18:35:04] - TRADE : From Pittsburgh Penguins to Boston Bruins : Derick Brassard (76), Y:2024-RND:5-BOS.
[2024-03-05 18:35:04] - TRADE : From Boston Bruins to Pittsburgh Penguins : Y:2024-RND:4-COL.
[2023-12-28 20:34:24] - TRADE : From Pittsburgh Penguins to Boston Bruins : Danton Heinen (67), Bradley Nadeau (P).
[2023-12-28 20:34:24] - TRADE : From Boston Bruins to Pittsburgh Penguins : Tomas Nosek (71), Quinn Olson (P), Y:2024-RND:5-BOS.
[2023-11-11 00:05:33] - Offer from Pittsburgh Penguins for Wyatt Bongiovanni of $802,500 for 2 year(s) with $100,000 in bonus has been refused.
[2023-11-10 23:54:47] - Greg Printz signed with Pittsburgh Penguins for $750,000 for 1 year(s) / Signing Bonus of $400,000.
[2023-11-10 23:54:47] - Greg Printz was added to Pittsburgh Penguins.
[2023-11-10 23:54:33] - Filip Engaras signed with Pittsburgh Penguins for $750,000 for 1 year(s) / Signing Bonus of $500,000.
[2023-11-10 23:54:33] - Filip Engaras was added to Pittsburgh Penguins.
[2023-11-10 23:53:17] - Cooper Zech signed with Pittsburgh Penguins for $750,000 for 1 year(s) / Signing Bonus of $75,000.
[2023-11-10 23:53:17] - Cooper Zech was added to Pittsburgh Penguins.
[2023-11-10 23:52:35] - Christopher Merisier-Ortiz signed with Pittsburgh Penguins for $750,000 for 1 year(s) / Signing Bonus of $700,000.
[2023-11-10 23:52:35] - Christopher Merisier-Ortiz was added to Pittsburgh Penguins.
[2023-11-09 23:00:30] - Xavier Bouchard signed with Pittsburgh Penguins for $937,500 for 1 year(s) / Signing Bonus of $30,000.
[2023-11-09 23:00:30] - Xavier Bouchard was added to Pittsburgh Penguins.
[2023-11-09 22:48:53] - Offer from Pittsburgh Penguins for Daniel D'Amato of $850,000 for 1 year(s) with $0 in bonus has been refused.
[2023-11-09 22:48:26] - Cory Schneider signed with Pittsburgh Penguins for $750,000 for 1 year(s).
[2023-11-09 22:48:26] - Cory Schneider was added to Pittsburgh Penguins.
[2023-11-08 22:20:55] - Derick Brassard signed with Pittsburgh Penguins for $937,500 for 1 year(s) / Option : 1 Way Contract & Signing Bonus of $937,500.
[2023-11-08 22:20:55] - Derick Brassard was added to Pittsburgh Penguins.

[2024-04-24 19:30:28] Wilkes-Barre Scranton Penguins lines for next game are empty. Current rosters/lines are not erased. But, Pittsburgh Penguins lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-22 18:15:45] Wilkes-Barre Scranton Penguins lines for next game are empty. Current rosters/lines are not erased. But, Pittsburgh Penguins lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-20 20:55:09] Wilkes-Barre Scranton Penguins lines for next game are empty. Current rosters/lines are not erased. But, Pittsburgh Penguins lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-18 19:26:12] Wilkes-Barre Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[2024-04-17 19:42:14] Pittsburgh Penguins lines for next game are empty. Current rosters/lines are not erased.
[2024-04-16 20:07:50] Wilkes-Barre Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[2024-04-15 19:24:30] Both Pittsburgh Penguins and Wilkes-Barre Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[2024-04-14 18:45:59] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.3.6.6
[2024-04-13 19:00:22] Tyler Johnson from Pittsburgh Penguins is back from Torso Injury.
[2024-04-13 19:00:22] Both Pittsburgh Penguins and Wilkes-Barre Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[2024-04-13 19:00:22] Pro Game #1094 - Jonathan Huberdeau from Pittsburgh Penguins has scored a Hat Trick!
[2024-04-11 20:44:47] Both Pittsburgh Penguins and Wilkes-Barre Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[2024-04-10 22:05:45] Auto Lines Partial Function has been run for Wilkes-Barre Scranton Penguins.
[2024-04-10 22:01:49] Pittsburgh Penguins lines for next game are empty. Current rosters/lines are not erased.
[2024-04-10 21:42:23] TRADE : From Winnipeg Jets to Pittsburgh Penguins : Y:2024-RND:2-WPG.
[2024-04-10 21:41:28] TRADE : From Pittsburgh Penguins to Winnipeg Jets : Alexander Nylander (66), Erik Karlsson (77).
[2024-04-10 21:41:28] TRADE : From Winnipeg Jets to Pittsburgh Penguins : Jacob Trouba (76), Jonathan Huberdeau (76), Y:2024-RND:1-TOR.
[2024-04-10 19:12:15] TRADE : From Pittsburgh Penguins to Ottawa Senators : Y:2025-RND:2-PIT.
[2024-04-08 20:28:40] Valtteri Puustinen of Pittsburgh Penguins was sent to pro.
[2024-04-08 20:28:31] Wilkes-Barre Scranton Penguins roster errors : Too many Players available in Farm Team! 19 Dressed. Maximum is 18. Some errors will be automatically fixed.
[2024-04-08 20:28:31] Pittsburgh Penguins roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2024-04-08 20:18:39] Pierre-Olivier Joseph of Pittsburgh Penguins was sent to farm.
[2024-04-08 20:18:39] Wilkes-Barre Scranton Penguins lines for next game are empty. Current rosters/lines are not erased. But, Pittsburgh Penguins lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-08 20:18:04] Auto Lines Function has been run for Wilkes-Barre Scranton Penguins.
[2024-04-08 20:18:02] Auto Lines Partial Function has been run for Pittsburgh Penguins.
[2024-04-08 20:18:02] Auto Roster Partial Function has been run for Pittsburgh Penguins.
[2024-04-08 20:18:02] Pierre-Olivier Joseph of Pittsburgh Penguins was sent to pro.
[2024-04-05 22:34:29] Pittsburgh Penguins roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2024-04-05 22:33:01] Wilkes-Barre Scranton Penguins lines for next game are empty. Current rosters/lines are not erased. But, Pittsburgh Penguins lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-05 22:32:59] Game 1030 - Tyler Johnson from Pittsburgh Penguins is injured (Torso) and is out for 1 week.
[2024-04-04 22:07:23] Wilkes-Barre Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[2024-04-02 20:13:53] Wilkes-Barre Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[2024-03-30 19:48:43] Both Pittsburgh Penguins and Wilkes-Barre Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[2024-03-28 20:50:16] Pittsburgh Penguins lines for next game are empty. Current rosters/lines are not erased.
[2024-03-28 20:50:10] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.3.6.6
[2024-03-27 18:51:42] Wilkes-Barre Scranton Penguins lines for next game are empty. Current rosters/lines are not erased.
[2024-03-26 20:59:04] Pittsburgh Penguins lines for next game are empty. Current rosters/lines are not erased.

Pas de blessure ou de suspension.

Pittsburgh Penguins 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

Pittsburgh Penguins 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

Pittsburgh Penguins 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

Pittsburgh Penguins 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

Pittsburgh Penguins 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

	Pittsburgh Penguins
	GP: 74 \| W: 32 \| L: 37 \| OTL: 5 \| P: 69 GF: 196 \| GA: 244 \| PP%: 20.86% \| PK%: 80.00% DG: Christian Engvall Vagman \| Morale : 37 \| Moyenne d’équipe : 70 Prochains matchs #1200 vs New York Rangers