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

Centre de jeu
	Columbus Blue Jackets 34-30-10, 78pts	1	FINAL	2	New Jersey Devils 57-14-3, 117pts

Team Stats
SOL2	Séquence	W10
18-14-6	Fiche domicile	27-8-2
16-16-4	Fiche visiteur	30-6-1
6-2-2	Derniers 10 matchs	10-0-0
3.15	Buts par match	3.92
3.24	Buts contre par match	2.68
22.53%	Pourcentage en avantage numérique	23.28%
81.69%	Pourcentage en désavantage numérique	79.70%

Boston Bruins
44-26-4, 92pts

FINAL

Columbus Blue Jackets
34-30-10, 78pts

Team Stats
W6	Séquence	SOL2
23-11-3	Fiche domicile	18-14-6
21-15-1	Fiche visiteur	16-16-4
8-2-0	Derniers 10 matchs	6-2-2
3.01	Buts par match	3.15
2.78	Buts contre par match	3.24
18.18%	Pourcentage en avantage numérique	22.53%
78.83%	Pourcentage en désavantage numérique	81.69%

Columbus Blue Jackets
34-30-10, 78pts

Jour 137

Vancouver Canucks
41-27-6, 88pts

Statistiques d’équipe
SOL2	Séquence	W1
18-14-6	Fiche domicile	22-13-2
16-16-4	Fiche visiteur	19-14-4
6-2-2	10 derniers matchs	2-4-4
3.15	Buts par match	3.22
3.24	Buts contre par match	3.22
22.53%	Pourcentage en avantage numérique	19.88%
81.69%	Pourcentage en désavantage numérique	81.87%

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%

Columbus Blue Jackets
34-30-10, 78pts

Jour 141

Nashville Predators
37-27-10, 84pts

Statistiques d’équipe
SOL2	Séquence	OTL1
18-14-6	Fiche domicile	20-12-5
16-16-4	Fiche visiteur	17-15-5
6-2-2	10 derniers matchs	5-3-2
3.15	Buts par match	3.20
3.24	Buts contre par match	3.20
22.53%	Pourcentage en avantage numérique	19.69%
81.69%	Pourcentage en désavantage numérique	78.44%

Meneurs d'équipe
	Buts Boone Jenner 41	Passes Patrik Laine 61

	Points Patrik Laine 99	Plus/Moins Boone Jenner 7

	Victoires Joonas Korpisalo 24	Pourcentage d’arrêts Mike Smith 0.915

Statistiques d’équipe
Buts pour 233 3.15 GFG	Tirs pour 2333 31.53 Avg	Pourcentage en avantage numérique 22.5% 66 GF	Début de zone offensive 37.6%
Buts contre 240 3.24 GAA	Tirs contre 2329 31.47 Avg	Pourcentage en désavantage numérique 81.7%% 63 GA	Début de la zone défensive 38.3%

Informations de l'équipe
	Directeur général	Fredrik Omdal
	Entraîneur	Fredrik Omdal
	Division	Metropolitan Division
	Conférence	Eastern Conference
	Capitaine
	Assistant #1	Boone Jenner
	Assistant #2	Justin Faulk
Informations de l’aréna
	Nom	Tortorella
	Capacité	22,000
	Assistance	19,987
	Billets de saison	11,000
Informations de la formation
	Équipe Pro	21
	Équipe Mineure	24
	Limite contact	45 / 60
	Espoirs	19
Plafond salarial Non Activé
	Cap Salarial de la Saison estimé	81,521,665$
	Plafond salarial disponible	978,335$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	22
Finance
	Revenu annuel à ce jour	59,512,678$
	Dépenses annuelles à ce jour	73,432,397$
	Revenus de la saison estimés	4,698,369$
	Dépenses de la saison estimées	9,358,007$
	Compte bancaire actuel	53,980,437$
	Compte bancaire projeté	48,782,463$

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	Patrik Laine	0		X	X		100.00	70	43	91	89	80	80	73	95	41	90	97	63	85	71	71	77	82	82		0	25	4	8,700,000$
2	Boone Jenner (A)	0	X	X			100.00	85	55	78	82	82	84	86	92	97	84	93	71	75	84	79	78	80	80		0	30	4	4,000,000$
3	Max Domi	0	X	X			100.00	67	54	72	86	69	78	93	82	91	82	83	65	25	74	75	72	70	75		0	28	1	3,000,000$
4	Andreas Athanasiou	0	X	X	X		100.00	64	42	94	92	70	73	72	73	48	71	80	67	77	74	75	70	57	73	N	0	29	1	3,750,000$
5	Oliver Bjorkstrand	0			X		100.00	71	42	95	84	65	72	98	80	36	77	82	62	25	71	71	71	70	73		0	28	3	5,400,000$
6	Ryan Strome	0	X		X		100.00	64	64	73	84	72	75	95	74	78	74	80	60	47	78	79	68	65	72	N	0	30	4	6,250,000$
7	Gustav Nyquist	0	X	X	X		100.00	71	42	91	80	63	77	84	72	39	74	83	81	79	67	62	71	61	71		0	34	1	5,500,000$
8	Jack Roslovic	0	X		X		100.00	64	42	97	82	69	74	96	73	79	79	70	71	25	77	72	69	72	71		0	26	2	4,000,000$
9	Eric Robinson	0		X	X		100.00	81	45	99	75	73	66	87	55	31	61	73	82	25	68	68	69	62	69		0	28	2	1,600,000$
10	Corey Perry	0			X		100.00	66	99	68	76	79	61	99	72	25	62	68	60	61	99	99	66	40	68	N	0	38	1	1,250,000$
11	Kevin Stenlund	0	X		X		100.00	67	43	89	71	80	62	76	65	87	55	59	83	25	61	61	63	54	66		0	27	1	750,000$
12	Justin Faulk (A)	0				X	100.00	85	45	87	84	77	88	96	79	25	73	56	88	25	82	85	67	70	77		0	31	2	6,500,000$
13	Zachary Werenski	0				X	100.00	73	42	99	89	78	89	60	90	25	68	65	79	25	72	74	68	53	74		0	26	4	9,583,333$
14	Andrew Peeke	0				X	100.00	89	46	90	80	74	83	98	61	25	59	56	95	25	70	65	63	61	73		0	25	1	787,500$
15	Vladislav Gavrikov	0				X	100.00	75	44	84	81	80	85	93	69	25	51	56	94	25	68	68	62	64	72		0	28	1	2,800,000$
16	Zach Bogosian	0				X	100.00	90	47	75	80	83	66	64	54	25	47	46	73	75	82	85	58	51	69		0	33	2	1,062,500$
17	Jake Bean	0				X	100.00	72	43	89	86	70	69	60	64	25	64	53	76	75	67	62	61	47	68		0	25	2	2,333,333$
18	Adam Boqvist	0				X	100.00	64	41	95	85	65	77	66	84	25	68	51	64	25	62	62	65	18	66		0	23	3	2,600,000$
Rayé
1	Kirill Marchenko (R)	0			X		95.30	67	42	93	81	73	73	75	82	53	73	92	70	75	53	53	72	71	73		0	23	2	925,000$
Équipe Mineure
1	Jakub Voracek	0		X	X		100.00	58	42	99	83	78	73	63	80	35	80	64	57	66	89	89	65	18	70		0	34	2	8,250,000$
2	Kent Johnson (R)	0	X	X			100.00	59	40	94	79	66	67	77	74	39	79	75	57	75	58	58	68	83	67		0	21	2	925,000$
3	Yegor Chinakhov (R)	0			X		100.00	74	42	90	85	67	65	67	69	34	77	66	65	75	58	58	66	81	66		0	22	1	925,000$
4	Trey Fix-Wolansky	0			X		100.00	70	64	82	71	67	78	80	72	50	70	71	62	67	48	48	67	83	65		0	24	1	750,000$
5	Cole Sillinger	0	X				100.00	82	44	90	84	73	65	94	61	78	60	56	64	25	62	62	62	79	64		0	20	2	925,000$
6	Liam Foudy (R)	0	X	X	X		100.00	76	43	97	83	67	62	64	62	33	62	63	74	25	58	58	63	83	64		0	23	2	762,500$
7	Gabriel Dumont	0	X		X		100.00	74	69	78	63	69	62	62	64	81	58	64	65	61	61	62	62	79	61		0	33	1	750,000$
8	Alan Quine	0	X	X			100.00	79	73	90	75	73	56	56	56	71	56	51	64	48	58	59	57	81	60		0	30	1	750,000$
9	Connor Zary (R)	0	X				100.00	68	65	76	60	67	76	79	63	80	63	60	60	58	47	47	60	82	59		0	22	3	863,333$
10	Carson Meyer	0			X		100.00	84	44	89	64	66	55	75	61	25	56	55	65	25	48	48	59	81	59		0	26	1	750,000$
11	Cory Conacher	0	X	X	X		100.00	71	64	89	69	63	53	52	61	78	55	61	65	58	65	66	60	82	59		0	34	1	750,000$
12	Sean Malone	0	X				100.00	71	70	79	64	70	62	63	60	78	55	61	62	60	47	47	60	81	58		0	28	1	750,000$
13	Tyler Angle (R)	0	X				100.00	69	62	88	65	64	79	86	53	68	47	55	58	53	47	46	57	71	56		0	23	2	850,833$
14	Scott Harrington	0				X	100.00	77	44	93	70	75	70	71	60	25	52	53	81	25	67	67	59	82	65		0	30	1	750,000$
15	Gavin Bayreuther	0				X	100.00	77	56	84	73	73	69	69	64	25	60	47	78	53	61	61	60	78	65		0	29	1	750,000$
16	Jacob Christiansen (R)	0				X	100.00	71	43	96	83	75	67	88	64	25	53	48	63	25	49	49	58	81	62		0	24	1	925,000$
17	Samuel Knazko (R)	0				X	100.00	76	70	89	66	72	61	64	52	25	50	39	60	37	47	47	51	81	57		0	21	3	847,500$
18	Ethan Prow	0				X	100.00	73	66	91	65	66	59	60	54	25	52	41	62	40	47	47	53	81	57		0	31	1	750,000$
19	Michael Milne (R)	0		X			100.00	75	67	92	65	67	70	76	49	50	45	48	61	46	45	44	55	20	55		0	21	3	861,667$
20	Ole Julian Bjorgvik Holm (R)	0				X	100.00	78	72	91	67	72	56	59	44	25	34	39	61	37	44	44	50	20	54		0	21	3	825,000$
21	Corson Ceulemans (R)	0				X	100.00	76	73	82	65	75	47	48	45	25	33	41	61	40	46	46	49	65	54		0	20	1	750,000$

	MOYENNE D’ÉQUIPE						99.88	73	53	88	77	72	70	76	67	46	63	63	69	47	63	63	63	66	66

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	Joonas Korpisalo	0	97.00	81	60	65	78	86	81	69	86	85	81	79	65	66	74	77	76	0	29	1	1,430,000$
2	Mike Smith	0	97.00	72	40	40	95	77	73	69	79	83	76	73	80	82	70	80	73	0	41	1	2,200,000$
Rayé
Équipe Mineure
1	Daniil Tarasov (R)	0	100.00	63	50	49	63	68	56	71	63	68	60	75	48	48	57	86	60	0	24	3	1,050,000$
2	Dylan Ferguson (R)	0	100.00	55	43	54	73	60	56	54	60	58	57	30	44	44	55	82	56	0	25	1	750,000$
3	Christopher Gibson	0	100.00	47	43	54	79	48	51	50	53	53	52	95	45	45	50	21	51	0	31	1	750,000$

	MOYENNE D’ÉQUIPE		98.80	64	47	52	78	68	63	63	68	69	65	70	56	57	61	69	63

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Fredrik Omdal	60	60	60	60	31	60	50	SWE	41	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	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Patrik Laine	Columbus Blue Jackets	LW/RW	74	38	61	99	4	24	10	75	64	312	85	234	12.18%	18	1482	20.03	17	32	49	67	253	0	0	0	3	89	8	2	28.57%	98	86	34	0	1.34	6	14	0	0	2	10	4	5
2	Boone Jenner	Columbus Blue Jackets	C/LW	74	41	53	94	7	119	5	123	107	271	92	180	15.13%	27	1388	18.77	18	29	47	59	255	0	0	0	3	24	4	2	56.73%	1798	48	25	0	1.35	0	12	0	0	1	7	7	5
3	Max Domi	Columbus Blue Jackets	C/LW	74	22	28	50	-13	72	0	125	111	194	71	125	11.34%	23	1216	16.43	4	9	13	21	193	0	0	0	4	92	2	1	50.46%	866	30	22	0	0.82	1	8	0	0	0	1	4	3
4	Oliver Bjorkstrand	Columbus Blue Jackets	RW	74	18	29	47	-4	14	0	67	62	151	34	101	11.92%	16	1034	13.99	4	7	11	18	161	0	0	0	0	0	0	2	23.91%	46	40	12	0	0.91	0	1	0	0	0	4	2	1
5	Kirill Marchenko	Columbus Blue Jackets	RW	69	18	21	39	-4	15	5	68	53	110	32	73	16.36%	24	1077	15.62	8	5	13	17	191	0	0	0	0	0	3	2	40.85%	71	15	11	0	0.72	0	1	0	1	0	2	1	2
6	Justin Faulk	Columbus Blue Jackets	D	74	5	27	32	-3	70	0	104	109	97	31	45	5.15%	92	1709	23.11	3	7	10	14	280	0	0	0	0	73	1	0	0%	0	23	59	1	0.37	0	0	0	0	0	0	2	2
7	Andreas Athanasiou	Columbus Blue Jackets	C/LW/RW	73	9	22	31	2	12	0	49	63	153	29	98	5.88%	21	966	13.24	0	0	0	0	5	0	1	1	7	105	1	0	37.93%	58	41	17	0	0.64	1	6	0	0	0	2	0	1
8	Gustav Nyquist	Columbus Blue Jackets	C/LW/RW	74	14	15	29	-16	21	5	86	68	134	31	97	10.45%	24	1223	16.53	5	3	8	16	188	1	0	1	10	162	3	0	35.95%	153	24	13	0	0.47	2	3	0	1	0	1	2	1
9	Zachary Werenski	Columbus Blue Jackets	D	74	5	21	26	-13	4	0	73	105	132	53	65	3.79%	86	1701	22.99	4	8	12	20	278	0	1	1	2	63	0	0	0%	1	23	56	0	0.31	0	1	0	0	0	0	0	2
10	Jack Roslovic	Columbus Blue Jackets	C/RW	74	11	15	26	2	18	10	42	80	121	44	72	9.09%	25	945	12.78	0	0	0	0	13	0	0	0	3	35	2	1	49.80%	494	26	14	0	0.55	0	0	1	0	1	0	1	3
11	Ryan Strome	Columbus Blue Jackets	C/RW	74	12	11	23	-7	60	0	95	49	145	44	88	8.28%	15	948	12.81	0	0	0	4	78	0	0	0	0	0	2	1	51.29%	271	44	16	0	0.49	0	4	0	0	0	0	4	0
12	Andrew Peeke	Columbus Blue Jackets	D	74	4	17	21	-13	68	0	102	109	73	31	34	5.48%	90	1771	23.94	2	2	4	8	168	0	0	0	5	294	0	0	0%	0	11	57	0	0.24	0	0	0	0	0	0	0	1
13	Corey Perry	Columbus Blue Jackets	RW	40	8	6	14	6	53	15	25	12	46	14	38	17.39%	7	330	8.26	0	0	0	0	4	0	0	0	0	0	1	2	11.11%	9	10	6	0	0.85	0	0	1	0	2	1	0	1
14	Jakub Voracek	Cleveland Monsters (CBJ)	LW/RW	46	6	8	14	-9	0	0	18	24	88	28	50	6.82%	9	553	12.03	0	0	0	0	5	0	0	0	0	11	1	0	25.00%	32	13	11	0	0.51	0	1	0	0	0	1	1	1
15	Eric Robinson	Columbus Blue Jackets	LW/RW	74	5	9	14	6	0	0	69	82	91	28	50	5.49%	25	917	12.40	0	0	0	0	0	0	0	0	11	293	0	0	29.27%	41	27	18	0	0.31	0	0	0	0	0	0	0	0
16	Kevin Stenlund	Columbus Blue Jackets	C/RW	63	6	8	14	6	22	0	56	68	56	11	41	10.71%	17	756	12.01	0	0	0	0	2	0	0	0	8	249	0	0	50.25%	603	6	22	0	0.37	0	0	0	0	0	0	0	1
17	Vladislav Gavrikov	Columbus Blue Jackets	D	74	4	7	11	4	74	0	94	137	72	44	27	5.56%	101	1780	24.06	1	0	1	7	166	0	0	0	3	284	0	0	100.00%	1	6	68	0	0.12	0	1	0	0	0	0	0	1
18	Zach Bogosian	Columbus Blue Jackets	D	62	0	7	7	2	70	0	76	51	30	14	14	0%	48	876	14.14	0	0	0	1	5	0	0	0	1	167	0	0	0%	0	4	24	0	0.16	0	0	0	0	0	0	1	0
19	Jake Bean	Columbus Blue Jackets	D	72	1	5	6	7	16	0	38	68	46	11	15	2.17%	46	947	13.16	0	0	0	0	0	0	0	0	2	169	0	0	0%	0	3	33	0	0.13	0	0	0	0	0	0	0	0
20	Adam Boqvist	Columbus Blue Jackets	D	19	0	1	1	-1	0	0	2	6	11	4	7	0%	5	208	11.00	0	0	0	0	1	0	0	0	1	23	0	0	0%	0	3	4	0	0.10	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1332	227	371	598	-37	732	50	1387	1428	2333	731	1454	9.73%	719	21837	16.39	66	102	168	252	2255	1	2	3	63	2141	28	13	50.90%	4542	483	522	1	0.55	10	52	2	2	6	29	29	30

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	PS %	PSA	ST	BG	S1	S2	S3
1	Joonas Korpisalo	Columbus Blue Jackets	50	24	19	6	0.901	3.05	2897	4	1	147	1489	686	4	0.774	31	49	24	5	4	5
2	Mike Smith	Columbus Blue Jackets	24	7	5	5	0.915	2.46	1170	2	0	48	567	281	0	0.632	19	18	54	1	1	1
3	Daniil Tarasov	Cleveland Monsters (CBJ)	1	0	0	0	0.857	3.33	36	0	0	2	14	9	0	0	0	0	1	0	0	0
Statistiques d’équipe totales ou en moyenne			75	31	24	11	0.905	2.88	4104	6	1	197	2070	976	4		50	67	79	6	5	6

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
Adam Boqvist (contrat à 1 volet)	Columbus Blue Jackets	D	23	2000-12-31	No	179 Lbs	5 ft11	No	No	N/A		No	No	3	False	False	Pro Only	2,600,000$	2,600,000$	290,789$	No	2,600,000$	2,600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Andreas Athanasiou (contrat à 1 volet)	Columbus Blue Jackets	C/LW/RW	29	1994-12-31	No	188 Lbs	6 ft2	Yes	No	N/A		No	Yes	1	False	False	Pro Only	3,750,000$	3,750,000$	419,408$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Andrew Peeke (contrat à 1 volet)	Columbus Blue Jackets	D	25	1998-12-31	No	194 Lbs	6 ft3	No	No	N/A		No	Yes	1	False	False	Pro Only	787,500$	787,500$	88,076$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Boone Jenner (contrat à 1 volet)	Columbus Blue Jackets	C/LW	30	1993-12-31	No	208 Lbs	6 ft2	No	No	N/A		No	Yes	4	False	False	Pro Only	4,000,000$	4,000,000$	447,368$	No	4,000,000$	4,000,000$	4,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Corey Perry (contrat à 1 volet)	Columbus Blue Jackets	RW	38	1985-12-31	No	205 Lbs	6 ft3	Yes	No	N/A		No	Yes	1	False	False	Pro Only	1,250,000$	1,250,000$	139,803$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Eric Robinson (contrat à 1 volet)	Columbus Blue Jackets	LW/RW	28	1995-12-31	No	197 Lbs	6 ft2	No	No	N/A		No	Yes	2	False	False	Pro Only	1,600,000$	1,600,000$	178,947$	No	1,600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Gustav Nyquist (contrat à 1 volet)	Columbus Blue Jackets	C/LW/RW	34	1989-12-31 04:12:32	No	179 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
Jack Roslovic (contrat à 1 volet)	Columbus Blue Jackets	C/RW	26	1997-12-31	No	187 Lbs	6 ft1	No	No	N/A		No	Yes	2	False	False	Pro Only	4,000,000$	4,000,000$	447,368$	No	4,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Jake Bean (contrat à 1 volet)	Columbus Blue Jackets	D	25	1998-12-31	No	186 Lbs	6 ft1	No	No	N/A		No	Yes	2	False	False	Pro Only	2,333,333$	2,333,333$	260,965$	No	2,333,333$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Joonas Korpisalo (contrat à 1 volet)	Columbus Blue Jackets	G	29	1994-12-31	No	191 Lbs	6 ft3	No	No	N/A		No	Yes	1	False	False	Pro Only	1,430,000$	1,430,000$	159,934$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Justin Faulk (contrat à 1 volet)	Columbus Blue Jackets	D	31	1992-12-31	No	217 Lbs	6 ft0	No	No	N/A		No	Yes	2	False	False	Pro Only	6,500,000$	6,500,000$	726,974$	No	6,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Kevin Stenlund	Columbus Blue Jackets	C/RW	27	1996-12-31	No	210 Lbs	6 ft4	No	No	N/A		No	Yes	1	False	False	Pro & Farm	750,000$	750,000$	83,882$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Kirill Marchenko	Columbus Blue Jackets	RW	23	2000-12-31	Yes	187 Lbs	6 ft3	No	No	N/A		No	No	2	False	False	Pro & Farm	925,000$	925,000$	103,454$	No	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Max Domi (contrat à 1 volet)	Columbus Blue Jackets	C/LW	28	1995-12-31	No	192 Lbs	5 ft10	No	No	N/A		No	Yes	1	False	False	Pro Only	3,000,000$	3,000,000$	335,526$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Mike Smith (contrat à 1 volet)	Columbus Blue Jackets	G	41	1982-12-31 19:09:47	No	220 Lbs	6 ft5	No	No	Trade	2024-03-10	No	Yes	1	False	False	Pro Only	2,200,000$	2,200,000$	246,053$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Oliver Bjorkstrand (contrat à 1 volet)	Columbus Blue Jackets	RW	28	1995-12-31	No	177 Lbs	6 ft0	No	No	N/A		No	Yes	3	False	False	Pro Only	5,400,000$	5,400,000$	603,947$	No	5,400,000$	5,400,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Patrik Laine (contrat à 1 volet)	Columbus Blue Jackets	LW/RW	25	1998-12-31	No	206 Lbs	6 ft5	No	No	N/A		No	Yes	4	False	False	Pro Only	8,700,000$	8,700,000$	973,026$	No	8,700,000$	8,700,000$	8,700,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Ryan Strome (contrat à 1 volet)	Columbus Blue Jackets	C/RW	30	1993-12-31	No	190 Lbs	6 ft1	Yes	No	N/A		No	Yes	4	False	False	Pro Only	6,250,000$	6,250,000$	699,013$	No	6,250,000$	6,250,000$	6,250,000$	-	-	-	-	-	-	Yes	Yes	Yes	-	-	-	-	-	-	Lien / Lien NHL
Vladislav Gavrikov (contrat à 1 volet)	Columbus Blue Jackets	D	28	1995-12-31	No	213 Lbs	6 ft3	No	No	N/A		No	Yes	1	False	False	Pro Only	2,800,000$	2,800,000$	313,158$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Zach Bogosian (contrat à 1 volet)	Columbus Blue Jackets	D	33	1990-12-31	No	226 Lbs	6 ft3	No	No	N/A		No	Yes	2	False	False	Pro Only	1,062,500$	1,062,500$	118,832$	No	1,062,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Zachary Werenski (contrat à 1 volet)	Columbus Blue Jackets	D	26	1997-12-31	No	212 Lbs	6 ft2	No	No	N/A		No	Yes	4	False	False	Pro Only	9,583,333$	9,583,333$	1,071,820$	No	9,583,333$	9,583,333$	9,583,333$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	28.90	198 Lbs	6 ft2	2.05	3,543,889$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
74,421,666$	52,954,166$	36,533,333$	28,533,333$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Patrik Laine	Boone Jenner	Corey Perry	33	0	2	3
2	Gustav Nyquist	Max Domi	Oliver Bjorkstrand	26	0	2	3
3	Andreas Athanasiou	Jack Roslovic	Ryan Strome	26	0	2	3
4	Eric Robinson	Kevin Stenlund	Adam Boqvist	15	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Justin Faulk	Andrew Peeke	40	1	3	1
2	Vladislav Gavrikov	Zachary Werenski	40	1	3	1
3	Zach Bogosian	Jake Bean	20	1	3	1
4	Justin Faulk	Zachary Werenski	0	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Patrik Laine	Boone Jenner	Jack Roslovic	60	0	0	5
2	Gustav Nyquist	Max Domi	Oliver Bjorkstrand	40	0	0	5

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Justin Faulk	Zachary Werenski	62	0	1	4
2	Vladislav Gavrikov	Andrew Peeke	38	1	1	3

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Kevin Stenlund	Eric Robinson	60	0	5	0
2	Gustav Nyquist	Andreas Athanasiou	40	0	5	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Andrew Peeke	Vladislav Gavrikov	65	2	3	0
2	Jake Bean	Zach Bogosian	35	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Kevin Stenlund	50	1	4	0	Andrew Peeke	Vladislav Gavrikov	63	1	4	0
2	Gustav Nyquist	50	1	4	0	Jake Bean	Zach Bogosian	37	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Boone Jenner	Patrik Laine	50	1	2	2
2	Max Domi	Andreas Athanasiou	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Justin Faulk	Zachary Werenski	50	1	3	1
2	Vladislav Gavrikov	Andrew Peeke	50	1	3	1

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Patrik Laine	Boone Jenner	Jack Roslovic	Justin Faulk	Zachary Werenski

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Eric Robinson	Boone Jenner	Kevin Stenlund	Justin Faulk	Zachary Werenski

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Oliver Bjorkstrand, Ryan Strome, Max Domi	Jack Roslovic, Ryan Strome	Kevin Stenlund

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Andrew Peeke, Zach Bogosian, Jake Bean	Andrew Peeke	Andrew Peeke, Zach Bogosian

Tirs de pénalité
Patrik Laine, Boone Jenner, Max Domi, Andreas Athanasiou, Ryan Strome

Gardien
#1 : Mike Smith, #2 : Joonas Korpisalo

Lignes d’attaque personnalisées en prolongation
, Gustav Nyquist, , , Oliver Bjorkstrand, , , , , ,

Lignes de défense personnalisées en prolongation
Justin Faulk, , Vladislav Gavrikov, Andrew Peeke,

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	1	1	0	0	0	0	0	8	7	1	1	0	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	5	3	2	2	0.500	8	14	22	0	0	5	1	2	0	51	22	12	17	0	69	22	14	52	8	2	25.00%	7	2	71.43%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	43	24	44	17	32	16
2	Arizona Coyotes	1	1	0	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	7	5	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	12	19	0	0	2	2	3	0	26	10	3	13	0	29	12	20	16	5	4	80.00%	10	2	80.00%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	20	11	20	8	18	9
3	Boston Bruins	2	1	0	0	0	0	0	1	6	5	1	1	0	0	0	0	0	0	1	3	4	-1	1	1	0	0	0	0	0	0	3	1	2	3	0.750	6	11	17	0	0	0	4	2	0	67	16	26	25	5	61	19	8	41	7	2	28.57%	4	1	75.00%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	43	25	45	18	35	17
4	Buffalo Sabres	2	0	1	0	0	0	0	1	5	7	-2	1	0	0	0	0	0	0	1	2	3	-1	1	0	1	0	0	0	0	0	3	4	-1	1	0.250	5	8	13	0	0	3	2	0	0	63	28	16	19	5	69	20	16	47	10	2	20.00%	8	1	87.50%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	47	26	41	17	35	19
5	Calgary Flames	2	1	1	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	3	8	-5	1	1	0	0	0	0	0	0	2	1	1	2	0.500	5	7	12	0	0	1	0	4	0	68	12	31	25	0	58	9	38	41	10	2	20.00%	14	2	85.71%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	43	23	37	18	38	19
6	Carolina Hurricanes	5	1	2	0	0	1	0	1	17	21	-4	3	1	0	0	0	1	0	1	13	11	2	2	0	2	0	0	0	0	0	4	10	-6	4	0.400	17	29	46	0	0	6	6	5	0	144	43	52	49	2	147	50	77	92	23	5	21.74%	36	9	75.00%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	102	54	110	50	93	44
7	Chicago Blackhawks	2	2	0	0	0	0	0	0	15	7	8	1	1	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	7	3	4	4	1.000	15	25	40	0	0	5	5	5	0	64	24	22	18	0	76	19	12	36	9	4	44.44%	6	0	100.00%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	41	23	43	17	35	17
8	Colorado Avalanche	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	1	1	2	1.000	2	3	5	0	0	0	1	1	0	34	11	5	18	0	25	12	10	22	8	2	25.00%	5	1	80.00%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	21	12	20	9	17	8
9	Dallas Stars	1	0	0	0	0	0	1	0	5	4	1	1	0	0	0	0	0	1	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	6	11	0	0	2	0	2	1	32	4	9	19	2	27	9	6	22	6	1	16.67%	2	1	50.00%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	22	12	21	10	20	10
10	Detroit Red Wings	2	1	1	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	4	0	4	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	6	10	16	0	1	3	1	2	0	56	18	17	21	0	66	30	29	39	8	1	12.50%	12	1	91.67%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	40	21	45	19	34	17
11	Edmonton Oilers	2	0	2	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	4	6	10	0	0	1	3	0	0	53	14	20	19	0	57	24	28	27	13	3	23.08%	14	4	71.43%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	40	21	44	20	34	17
12	Florida Panthers	2	0	1	0	0	0	1	0	7	8	-1	1	0	0	0	0	0	1	0	4	3	1	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	7	11	18	0	0	3	1	2	1	71	20	21	30	2	65	19	20	50	6	3	50.00%	10	4	60.00%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	44	24	43	19	37	17
13	Los Angeles Kings	2	1	1	0	0	0	0	0	9	9	0	1	0	1	0	0	0	0	0	3	8	-5	1	1	0	0	0	0	0	0	6	1	5	2	0.500	9	14	23	0	0	4	1	4	0	66	23	20	23	0	72	22	21	33	9	3	33.33%	8	2	75.00%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	43	26	43	17	32	16
14	Minnesota Wild	3	2	0	0	0	0	0	1	12	7	5	2	2	0	0	0	0	0	0	10	4	6	1	0	0	0	0	0	0	1	2	3	-1	5	0.833	12	19	31	0	0	4	4	4	1	99	38	22	39	7	97	23	12	48	15	2	13.33%	7	0	100.00%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	69	39	59	27	56	30
15	Montreal Canadiens	2	2	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	6	3	3	4	1.000	9	15	24	0	0	4	4	1	0	81	37	19	25	0	68	18	14	35	5	2	40.00%	7	1	85.71%	1	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	43	27	45	17	31	14
16	Nashville Predators	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	3	6	0	0	0	2	1	0	32	13	14	5	0	32	6	4	26	5	0	0.00%	2	0	100.00%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	21	12	20	9	17	8
17	New Jersey Devils	5	1	3	0	0	0	0	1	15	21	-6	2	0	2	0	0	0	0	0	7	11	-4	3	1	1	0	0	0	0	1	8	10	-2	3	0.300	15	25	40	0	0	2	11	2	0	164	42	73	49	3	163	38	58	83	14	2	14.29%	29	10	65.52%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	104	60	111	48	88	42
18	New York Islanders	4	0	2	0	0	0	2	0	8	10	-2	2	0	1	0	0	0	1	0	3	5	-2	2	0	1	0	0	0	1	0	5	5	0	4	0.500	8	9	17	0	0	3	0	3	4	123	42	42	39	6	115	40	28	63	18	2	11.11%	14	2	85.71%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	90	51	83	38	76	39
19	New York Rangers	4	1	1	0	0	1	0	1	8	11	-3	2	0	1	0	0	1	0	0	5	8	-3	2	1	0	0	0	0	0	1	3	3	0	4	0.500	8	14	22	0	0	5	1	2	0	122	33	41	46	5	102	26	24	69	15	2	13.33%	12	3	75.00%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	88	51	86	38	70	35
20	Ottawa Senators	2	2	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	1	4	4	1.000	10	16	26	0	0	4	5	1	0	79	20	29	30	0	63	24	38	45	14	5	35.71%	10	1	90.00%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	47	27	36	18	35	18
21	Philadelphia Flyers	4	2	1	0	0	0	1	0	13	8	5	2	2	0	0	0	0	0	0	8	3	5	2	0	1	0	0	0	1	0	5	5	0	6	0.750	13	20	33	0	0	5	3	4	2	138	41	42	54	4	125	38	42	82	2	1	50.00%	21	1	95.24%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	85	49	88	37	70	31
22	Pittsburgh Penguins	3	2	1	0	0	0	0	0	9	9	0	1	1	0	0	0	0	0	0	4	3	1	2	1	1	0	0	0	0	0	5	6	-1	4	0.667	9	15	24	0	0	3	5	1	0	95	37	32	26	0	87	40	20	62	6	0	0.00%	10	2	80.00%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	63	37	62	27	53	25
23	San Jose Sharks	3	0	2	0	0	0	0	1	7	13	-6	1	0	0	0	0	0	0	1	3	4	-1	2	0	2	0	0	0	0	0	4	9	-5	1	0.167	7	12	19	0	0	1	2	4	0	82	25	28	28	6	119	24	49	42	15	4	26.67%	18	3	83.33%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	58	30	69	30	56	27
24	Seattle Kraken	2	2	0	0	0	0	0	0	10	7	3	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	6	4	2	4	1.000	10	14	24	0	0	4	3	3	0	74	23	26	25	0	61	12	12	44	9	3	33.33%	6	1	83.33%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	44	25	41	16	34	17
25	St. Louis Blues	2	2	0	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	4	3	1	4	1.000	7	11	18	0	0	3	0	4	0	64	23	15	26	0	70	20	10	40	15	3	20.00%	5	1	80.00%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	47	28	38	17	33	17
26	Tampa Bay Lightning	2	0	2	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	5	8	13	0	0	0	3	2	0	55	22	23	10	0	62	26	28	31	4	0	0.00%	14	3	78.57%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	44	25	40	17	35	17
27	Toronto Maple Leafs	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	2	0	1	60	14	24	18	9	68	23	30	33	3	0	0.00%	15	0	100.00%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	38	19	51	22	40	17
28	Vancouver Canucks	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	1	1	0	0	31	10	16	5	0	26	13	8	20	4	1	25.00%	4	2	50.00%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	20	11	20	9	18	9
29	Vegas Golden Knights	2	0	2	0	0	0	0	0	4	10	-6	1	0	1	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	4	6	10	0	0	0	1	3	0	62	22	21	19	0	64	25	18	40	8	3	37.50%	9	2	77.78%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	41	22	43	18	35	17
30	Washington Capitals	4	1	3	0	0	0	0	0	9	13	-4	2	1	1	0	0	0	0	0	7	7	0	2	0	2	0	0	0	0	0	2	6	-4	2	0.250	9	16	25	0	0	3	1	5	0	109	44	25	40	0	136	44	30	68	9	0	0.00%	16	0	100.00%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	81	46	89	37	68	32
31	Winnipeg Jets	2	1	1	0	0	0	0	0	3	3	0	1	0	1	0	0	0	0	0	0	2	-2	1	1	0	0	0	0	0	0	3	1	2	2	0.500	3	5	8	0	0	2	0	1	0	68	22	14	32	0	50	12	18	38	10	2	20.00%	9	1	88.89%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	45	25	40	18	34	17
	Total	74	28	30	0	0	2	6	8	233	240	-7	38	14	14	0	0	2	4	4	133	136	-3	36	14	16	0	0	0	2	4	100	104	-4	78	0.527	233	371	604	0	1	79	75	73	10	2333	753	760	812	56	2329	719	742	1387	293	66	22.53%	344	63	81.69%	1	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	1593	902	1593	699	1324	652
	_Since Last GM Reset	74	28	30	0	0	2	6	8	233	240	-7	38	14	14	0	0	2	4	4	133	136	-3	36	14	16	0	0	0	2	4	100	104	-4	78	0.527	233	371	604	0	1	79	75	73	10	2333	753	760	812	56	2329	719	742	1387	293	66	22.53%	344	63	81.69%	1	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	1593	902	1593	699	1324	652
	_Vs Conference	45	14	18	0	0	2	5	6	130	135	-5	22	8	6	0	0	2	3	3	73	68	5	23	6	12	0	0	0	2	3	57	67	-10	46	0.511	130	210	340	0	1	44	49	32	8	1427	457	482	481	41	1397	455	462	840	144	27	18.75%	218	39	82.11%	1	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	965	549	982	430	807	391
	_Vs Division	29	8	13	0	0	2	3	3	79	93	-14	14	5	5	0	0	2	1	1	47	48	-1	15	3	8	0	0	0	2	2	32	45	-13	27	0.466	79	128	207	0	0	27	27	22	6	895	282	307	303	20	875	276	279	519	87	12	13.79%	138	27	80.43%	0	877	1698	51.65%	886	1728	51.27%	549	1084	50.65%	617	351	632	279	521	252

			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	78	SOL2	233	371	604	2333	2329	719	742	1387	0	1

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
74	28	30	0	2	6	8	233	240

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
38	14	14	0	2	4	4	133	136

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	14	16	0	0	2	4	100	104

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
6	2	0	0	0	2

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
293	66	22.53%	344	63	81.69%	1

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
753	760	812	56	79	75	73	10

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
877	1698	51.65%	886	1728	51.27%	549	1084	50.65%

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
1593	902	1593	699	1324	652

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	8	Columbus Blue Jackets	2	San Jose Sharks	3	L			Sommaire du match
2	16	Columbus Blue Jackets	4	New Jersey Devils	3	W			Sommaire du match
4	31	Carolina Hurricanes	3	Columbus Blue Jackets	2	L	X		Sommaire du match
6	53	Minnesota Wild	1	Columbus Blue Jackets	5	W			Sommaire du match
8	72	New York Islanders	4	Columbus Blue Jackets	1	L			Sommaire du match
10	85	Columbus Blue Jackets	2	Philadelphia Flyers	3	L			Sommaire du match
11	96	Columbus Blue Jackets	1	New York Rangers	2	L	X	X	Sommaire du match
13	112	Columbus Blue Jackets	4	Pittsburgh Penguins	2	W			Sommaire du match
15	126	Washington Capitals	4	Columbus Blue Jackets	2	L			Sommaire du match
17	144	Columbus Blue Jackets	1	Washington Capitals	4	L			Sommaire du match
18	155	Carolina Hurricanes	5	Columbus Blue Jackets	4	L	X	X	Sommaire du match
21	178	New Jersey Devils	4	Columbus Blue Jackets	3	L			Sommaire du match
23	200	Philadelphia Flyers	2	Columbus Blue Jackets	4	W			Sommaire du match
24	205	Columbus Blue Jackets	3	New York Islanders	2	W	X	X	Sommaire du match
27	231	New York Rangers	4	Columbus Blue Jackets	2	L			Sommaire du match
28	238	Columbus Blue Jackets	1	Carolina Hurricanes	5	L			Sommaire du match
31	263	Columbus Blue Jackets	1	Edmonton Oilers	4	L			Sommaire du match
32	277	Columbus Blue Jackets	2	Colorado Avalanche	1	W			Sommaire du match
33	288	St. Louis Blues	2	Columbus Blue Jackets	3	W			Sommaire du match
35	307	Carolina Hurricanes	3	Columbus Blue Jackets	7	W			Sommaire du match
38	329	Los Angeles Kings	8	Columbus Blue Jackets	3	L			Sommaire du match
40	346	Columbus Blue Jackets	5	Ottawa Senators	1	W			Sommaire du match
41	359	Columbus Blue Jackets	3	Buffalo Sabres	4	L			Sommaire du match
42	372	San Jose Sharks	4	Columbus Blue Jackets	3	L	X	X	Sommaire du match
45	395	Chicago Blackhawks	4	Columbus Blue Jackets	8	W			Sommaire du match
46	408	Columbus Blue Jackets	2	New York Rangers	1	W			Sommaire du match
48	423	Winnipeg Jets	2	Columbus Blue Jackets	0	L			Sommaire du match
50	444	Columbus Blue Jackets	1	Washington Capitals	2	L			Sommaire du match
52	458	Detroit Red Wings	0	Columbus Blue Jackets	4	W			Sommaire du match
53	467	Columbus Blue Jackets	6	Los Angeles Kings	1	W			Sommaire du match
55	489	Columbus Blue Jackets	2	New York Islanders	3	L			Sommaire du match
57	500	New York Islanders	1	Columbus Blue Jackets	2	W	X	X	Sommaire du match
59	523	Columbus Blue Jackets	3	New Jersey Devils	5	L			Sommaire du match
60	532	Toronto Maple Leafs	1	Columbus Blue Jackets	2	W	X	X	Sommaire du match
62	550	Columbus Blue Jackets	6	Montreal Canadiens	3	W			Sommaire du match
64	566	Columbus Blue Jackets	3	Carolina Hurricanes	5	L			Sommaire du match
66	575	Montreal Canadiens	2	Columbus Blue Jackets	3	W			Sommaire du match
67	592	Anaheim Ducks	4	Columbus Blue Jackets	3	L			Sommaire du match
71	620	Vegas Golden Knights	6	Columbus Blue Jackets	3	L			Sommaire du match
73	636	Columbus Blue Jackets	3	Philadelphia Flyers	2	W	X	X	Sommaire du match
74	652	New Jersey Devils	7	Columbus Blue Jackets	4	L			Sommaire du match
77	678	Nashville Predators	5	Columbus Blue Jackets	3	L			Sommaire du match
79	696	Columbus Blue Jackets	2	Detroit Red Wings	3	L			Sommaire du match
81	708	Columbus Blue Jackets	2	Minnesota Wild	3	L	X	X	Sommaire du match
82	717	Dallas Stars	4	Columbus Blue Jackets	5	W	X	X	Sommaire du match
84	741	Edmonton Oilers	4	Columbus Blue Jackets	3	L			Sommaire du match
87	760	Columbus Blue Jackets	3	Florida Panthers	5	L			Sommaire du match
88	771	New York Rangers	4	Columbus Blue Jackets	3	L	X		Sommaire du match
89	781	Columbus Blue Jackets	3	Boston Bruins	1	W			Sommaire du match
91	798	Columbus Blue Jackets	7	Chicago Blackhawks	3	W			Sommaire du match
93	811	Philadelphia Flyers	1	Columbus Blue Jackets	4	W			Sommaire du match
95	834	Columbus Blue Jackets	5	Anaheim Ducks	3	W			Sommaire du match
96	839	Columbus Blue Jackets	1	Vegas Golden Knights	4	L			Sommaire du match
97	854	Florida Panthers	3	Columbus Blue Jackets	4	W	X	X	Sommaire du match
100	874	Calgary Flames	8	Columbus Blue Jackets	3	L			Sommaire du match
102	899	Columbus Blue Jackets	2	Tampa Bay Lightning	3	L			Sommaire du match
103	908	Columbus Blue Jackets	1	Toronto Maple Leafs	2	L	X	X	Sommaire du match
105	920	Vancouver Canucks	5	Columbus Blue Jackets	2	L			Sommaire du match
107	940	Tampa Bay Lightning	4	Columbus Blue Jackets	3	L			Sommaire du match
109	962	Buffalo Sabres	3	Columbus Blue Jackets	2	L	X	X	Sommaire du match
111	971	Columbus Blue Jackets	4	St. Louis Blues	3	W			Sommaire du match
113	995	Washington Capitals	3	Columbus Blue Jackets	5	W			Sommaire du match
114	1002	Columbus Blue Jackets	2	Calgary Flames	1	W			Sommaire du match
117	1029	Ottawa Senators	3	Columbus Blue Jackets	5	W			Sommaire du match
119	1041	Columbus Blue Jackets	1	Pittsburgh Penguins	4	L			Sommaire du match
120	1056	Columbus Blue Jackets	6	Seattle Kraken	4	W			Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
122	1067	Seattle Kraken	3	Columbus Blue Jackets	4	W			Sommaire du match
124	1093	Arizona Coyotes	5	Columbus Blue Jackets	7	W			Sommaire du match
126	1108	Columbus Blue Jackets	2	San Jose Sharks	6	L			Sommaire du match
127	1116	Columbus Blue Jackets	3	Winnipeg Jets	1	W			Sommaire du match
129	1134	Minnesota Wild	3	Columbus Blue Jackets	5	W			Sommaire du match
132	1156	Pittsburgh Penguins	3	Columbus Blue Jackets	4	W			Sommaire du match
133	1164	Columbus Blue Jackets	1	New Jersey Devils	2	L	X	X	Sommaire du match
135	1188	Boston Bruins	4	Columbus Blue Jackets	3	L	X	X	Sommaire du match
137	1206	Columbus Blue Jackets	-	Vancouver Canucks	-
139	1221	Pittsburgh Penguins	-	Columbus Blue Jackets	-
141	1231	Columbus Blue Jackets	-	Nashville Predators	-
143	1252	Colorado Avalanche	-	Columbus Blue Jackets	-
144	1256	Columbus Blue Jackets	-	San Jose Sharks	-
146	1272	Columbus Blue Jackets	-	Dallas Stars	-
149	1294	Columbus Blue Jackets	-	Arizona Coyotes	-
151	1312	Anaheim Ducks	-	Columbus Blue Jackets	-

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	45	25	17	170
Assistance	282,429	153,840	107,371	185,551	30,297
Attendance PCT	92.90%	80.97%	94.19%	94.81%	93.80%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
3	19987 - 90.85%	1,566,123$	59,512,678$	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
73,432,397$	82,671,666$	82,671,666$	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
81,521,665$	72,271,892$	0$	22	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
4,698,369$	17	550,471$	9,358,007$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
10,090,837$	53,980,437$	48,782,463$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
81,521,665$	978,335$	82,500,000$	20,521,665$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Patrik Laine	AGE:25	PO:77	OV:82
Boone Jenner	AGE:30	PO:78	OV:80
Max Domi	AGE:28	PO:72	OV:75
Andreas Athanasiou	AGE:29	PO:70	OV:73
Gustav Nyquist	AGE:34	PO:71	OV:71
Jakub Voracek	AGE:34	PO:65	OV:70
Eric Robinson	AGE:28	PO:69	OV:69
Kent Johnson (R)	AGE:21	PO:68	OV:67
Liam Foudy (R)	AGE:23	PO:63	OV:64
Alan Quine	AGE:30	PO:57	OV:60
Cory Conacher	AGE:34	PO:60	OV:59
Michael Milne (R)	AGE:21	PO:55	OV:55

Boone Jenner	AGE:30	PO:78	OV:80
Max Domi	AGE:28	PO:72	OV:75
Andreas Athanasiou	AGE:29	PO:70	OV:73
Ryan Strome	AGE:30	PO:68	OV:72
Gustav Nyquist	AGE:34	PO:71	OV:71
Jack Roslovic	AGE:26	PO:69	OV:71
Kent Johnson (R)	AGE:21	PO:68	OV:67
Kevin Stenlund	AGE:27	PO:63	OV:66
Liam Foudy (R)	AGE:23	PO:63	OV:64
Cole Sillinger	AGE:20	PO:62	OV:64
Gabriel Dumont	AGE:33	PO:62	OV:61
Alan Quine	AGE:30	PO:57	OV:60
Connor Zary (R)	AGE:22	PO:60	OV:59
Cory Conacher	AGE:34	PO:60	OV:59
Sean Malone	AGE:28	PO:60	OV:58
Tyler Angle (R)	AGE:23	PO:57	OV:56

Patrik Laine	AGE:25	PO:77	OV:82
Kirill Marchenko (R)	AGE:23	PO:72	OV:73
Oliver Bjorkstrand	AGE:28	PO:71	OV:73
Andreas Athanasiou	AGE:29	PO:70	OV:73
Ryan Strome	AGE:30	PO:68	OV:72
Gustav Nyquist	AGE:34	PO:71	OV:71
Jack Roslovic	AGE:26	PO:69	OV:71
Jakub Voracek	AGE:34	PO:65	OV:70
Eric Robinson	AGE:28	PO:69	OV:69
Corey Perry	AGE:38	PO:66	OV:68
Yegor Chinakhov (R)	AGE:22	PO:66	OV:66
Kevin Stenlund	AGE:27	PO:63	OV:66
Trey Fix-Wolansky	AGE:24	PO:67	OV:65
Liam Foudy (R)	AGE:23	PO:63	OV:64
Gabriel Dumont	AGE:33	PO:62	OV:61
Cory Conacher	AGE:34	PO:60	OV:59
Carson Meyer	AGE:26	PO:59	OV:59

Défense #1

Défense #2

Gardien

Justin Faulk	AGE:31	PO:67	OV:77
Zachary Werenski	AGE:26	PO:68	OV:74
Andrew Peeke	AGE:25	PO:63	OV:73
Vladislav Gavrikov	AGE:28	PO:62	OV:72
Zach Bogosian	AGE:33	PO:58	OV:69
Jake Bean	AGE:25	PO:61	OV:68
Adam Boqvist	AGE:23	PO:65	OV:66

Gavin Bayreuther	AGE:29	PO:60	OV:65
Scott Harrington	AGE:30	PO:59	OV:65
Jacob Christiansen (R)	AGE:24	PO:58	OV:62
Ethan Prow	AGE:31	PO:53	OV:57
Samuel Knazko (R)	AGE:21	PO:51	OV:57
Ole Julian Bjorgvik Holm (R)	AGE:21	PO:50	OV:54
Corson Ceulemans (R)	AGE:20	PO:49	OV:54

Joonas Korpisalo	AGE:29	PO:74	OV:76
Mike Smith	AGE:41	PO:70	OV:73
Daniil Tarasov (R)	AGE:24	PO:57	OV:60
Dylan Ferguson (R)	AGE:25	PO:55	OV:56
Christopher Gibson	AGE:31	PO:50	OV:51

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	Lien
Alexandre Texier	Columbus Blue Jackets	2017	45	Lien
Andrew Strathmann	Columbus Blue Jackets	2023	101
Calle Odelius	Columbus Blue Jackets	2022	39
Cole Fonstad	Columbus Blue Jackets	2018	128
David Reinbacher	Columbus Blue Jackets	2023	6
Dmitri Voronkov	Columbus Blue Jackets	2020	124
Eric Hjorth	Columbus Blue Jackets	2019	132
Guillaume Richard	Columbus Blue Jackets	2021	101
James Malatesta	Columbus Blue Jackets	2021	133
Marcus Karlberg	Columbus Blue Jackets	2018	74
Martin Misiak	Columbus Blue Jackets	2023	69
Melker Thelin	Columbus Blue Jackets	2023	133
Mikael Pyyhtia	Columbus Blue Jackets	2020	152
Nikolai Makarov	Columbus Blue Jackets	2021	132
Samuel Johannesson	Columbus Blue Jackets	2020	0
Shane Wright	Columbus Blue Jackets	2022	2
Stanislav Svozil	Columbus Blue Jackets	2021	69
Tanner Molendyk	Columbus Blue Jackets	2023	37
Tucker Robertson	Columbus Blue Jackets	2022	138

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.

Columbus Blue Jackets Historique de transactions

[2024-03-10 19:21:42] - TRADE : From Columbus Blue Jackets to Minnesota Wild : Brian Elliott (66), Y:2024-RND:4-CBJ.
[2024-03-10 19:21:42] - TRADE : From Minnesota Wild to Columbus Blue Jackets : Mike Smith (72), Y:2025-RND:5-MIN.
[2023-11-10 23:54:43] - Gabriel Dumont signed with Columbus Blue Jackets for $750,000 for 1 year(s).
[2023-11-10 23:54:43] - Gabriel Dumont was added to Columbus Blue Jackets.
[2023-11-10 23:54:20] - Ethan Prow signed with Columbus Blue Jackets for $750,000 for 1 year(s).
[2023-11-10 23:54:20] - Ethan Prow was added to Columbus Blue Jackets.
[2023-11-10 23:53:34] - Cory Conacher signed with Columbus Blue Jackets for $750,000 for 1 year(s).
[2023-11-10 23:53:34] - Cory Conacher was added to Columbus Blue Jackets.
[2023-11-10 23:52:19] - Christopher Gibson signed with Columbus Blue Jackets for $750,000 for 1 year(s).
[2023-11-10 23:52:19] - Christopher Gibson was added to Columbus Blue Jackets.
[2023-11-10 23:47:13] - Alan Quine signed with Columbus Blue Jackets for $750,000 for 1 year(s).
[2023-11-10 23:47:13] - Alan Quine was added to Columbus Blue Jackets.
[2023-11-08 22:45:35] - Sean Malone signed with Columbus Blue Jackets for $750,000 for 1 year(s).
[2023-11-08 22:45:35] - Sean Malone was added to Columbus Blue Jackets.
[2023-11-08 22:45:18] - Offer from Columbus Blue Jackets for Samuel Walker of $885,000 for 2 year(s) with $0 in bonus has been refused.
[2023-11-08 22:21:20] - Dylan Ferguson signed with Columbus Blue Jackets for $750,000 for 1 year(s).
[2023-11-08 22:21:20] - Dylan Ferguson was added to Columbus Blue Jackets.

[2024-04-24 19:30:28] Kirill Marchenko from Columbus Blue Jackets is back from Right Knee Injury.
[2024-04-24 19:30:28] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 18:15:45] Both Columbus Blue Jackets and Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 18:09:40] Columbus Blue Jackets roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2024-04-21 20:08:20] Game 1156 - Kirill Marchenko from Columbus Blue Jackets is injured (Right Knee) and is out for 1 week.
[2024-04-19 23:38:34] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-18 19:26:12] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased. But, Columbus Blue Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-16 20:07:50] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased. But, Columbus Blue Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-15 19:24:30] Last 7 Days Farm Star : 1 - Justin Richards of Rochester Americans (4-3-7) / 2 - Daniil Tarasov of Cleveland Monsters (0.953) / 3 - Felix Sandstrom of Chicago Wolves (0.959)
[2024-04-14 18:49:14] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-14 18:45:58] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:188.149.119.233 .
[2024-04-13 19:00:22] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased. But, Columbus Blue Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-13 18:59:16] Auto Lines Function has been run for Cleveland Monsters.
[2024-04-13 18:57:11] Columbus Blue Jackets roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2024-04-10 22:05:45] Auto Lines Partial Function has been run for Columbus Blue Jackets.
[2024-04-10 22:05:45] Auto Roster Partial Function has been run for Columbus Blue Jackets.
[2024-04-10 22:01:49] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-09 19:13:48] Jake Bean from Columbus Blue Jackets is back from Groin Injury.
[2024-04-09 19:13:48] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased. But, Columbus Blue Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-04-09 18:57:10] Columbus Blue Jackets roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2024-04-08 20:18:38] Game 1041 - Jake Bean from Columbus Blue Jackets is injured (Groin) and is out for 1 week.
[2024-04-05 22:33:01] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-03 20:49:39] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-03-30 19:48:43] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased. But, Columbus Blue Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-03-26 20:59:04] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-03-26 12:16:59] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased. But, Columbus Blue Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.

Pas de blessure ou de suspension.

Columbus Blue Jackets 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

Columbus Blue Jackets 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

Columbus Blue Jackets 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

Columbus Blue Jackets 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

Columbus Blue Jackets 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

	Columbus Blue Jackets
	GP: 74 \| W: 34 \| L: 30 \| OTL: 10 \| P: 78 GF: 233 \| GA: 240 \| PP%: 22.53% \| PK%: 81.69% DG: Fredrik Omdal \| Morale : 38 \| Moyenne d’équipe : 72 #1206 vs Vancouver Canucks