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

Centre de jeu
	New Jersey Devils 4-11-0, 8pts	2	FINAL	4	Columbus Blue Jackets 11-3-1, 23pts

Team Stats
L3	Séquence	L1
0-8-0	Fiche domicile	5-1-1
4-3-0	Fiche visiteur	6-2-0
2-8-0	Derniers 10 matchs	7-3-0
2.80	Buts par match	2.73
3.27	Buts contre par match	2.27
15.15%	Pourcentage en avantage numérique	22.58%
81.82%	Pourcentage en désavantage numérique	82.05%

Columbus Blue Jackets
11-3-1, 23pts

FINAL

New York Rangers
7-6-3, 17pts

Team Stats
L1	Séquence	OTL1
5-1-1	Fiche domicile	4-3-1
6-2-0	Fiche visiteur	3-3-2
7-3-0	Derniers 10 matchs	5-3-2
2.73	Buts par match	2.81
2.27	Buts contre par match	2.88
22.58%	Pourcentage en avantage numérique	17.07%
82.05%	Pourcentage en désavantage numérique	83.78%

New York Rangers
7-6-3, 17pts

Jour 33

Columbus Blue Jackets
11-3-1, 23pts

Statistiques d’équipe
OTL1	Séquence	L1
4-3-1	Fiche domicile	5-1-1
3-3-2	Fiche visiteur	6-2-0
5-3-2	10 derniers matchs	7-3-0
2.81	Buts par match	2.73
2.88	Buts contre par match	2.73
17.07%	Pourcentage en avantage numérique	22.58%
83.78%	Pourcentage en désavantage numérique	82.05%

Boston Bruins
8-5-2, 18pts

Jour 35

Columbus Blue Jackets
11-3-1, 23pts

Statistiques d’équipe
L1	Séquence	L1
4-2-2	Fiche domicile	5-1-1
4-3-0	Fiche visiteur	6-2-0
5-4-1	10 derniers matchs	7-3-0
2.67	Buts par match	2.73
2.67	Buts contre par match	2.73
20.83%	Pourcentage en avantage numérique	22.58%
83.02%	Pourcentage en désavantage numérique	82.05%

Columbus Blue Jackets
11-3-1, 23pts

Jour 36

Philadelphia Flyers
6-6-2, 14pts

Statistiques d’équipe
L1	Séquence	L1
5-1-1	Fiche domicile	2-4-2
6-2-0	Fiche visiteur	4-2-0
7-3-0	10 derniers matchs	5-3-2
2.73	Buts par match	2.57
2.27	Buts contre par match	2.57
22.58%	Pourcentage en avantage numérique	21.21%
82.05%	Pourcentage en désavantage numérique	73.17%

Meneurs d'équipe
	Buts Quinton Byfield 9	Passes Juraj Slafkovsky 9

	Points Quinton Byfield 16	Plus/Moins Juraj Slafkovsky 7

	Victoires Jordan Binnington 11	Pourcentage d’arrêts Jordan Binnington 0.916

Statistiques d’équipe
Buts pour 41 2.73 GFG	Tirs pour 365 24.33 Avg	Pourcentage en avantage numérique 22.6% 7 GF	Début de zone offensive 35.1%
Buts contre 34 2.27 GAA	Tirs contre 392 26.13 Avg	Pourcentage en désavantage numérique 82.1%% 7 GA	Début de la zone défensive 40.1%

Informations de l'équipe
	Directeur général
	Entraîneur	Ken Hitchcock
	Division	Metropolitan Division
	Conférence	Eastern Conference
	Capitaine	Juraj Slafkovsky
	Assistant #1	Owen Power
	Assistant #2	Quinton Byfield
Informations de l’aréna
	Nom	Nationwide Arena
	Capacité	18,144
	Assistance	12,701
	Billets de saison	12,701
Informations de la formation
	Équipe Pro	21
	Équipe Mineure	29
	Limite contact	50 / 65
	Espoirs	34
Plafond salarial
	Cap Salarial de la Saison estimé	49,338,726$
	Plafond salarial disponible	38,661,274$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	21
Finance
	Revenu annuel à ce jour	18,706,884$
	Dépenses annuelles à ce jour	11,661,152$
	Revenus de la saison estimés	90,862,008$
	Dépenses de la saison estimées	38,627,566$
	Compte bancaire actuel	358,162,943$
	Compte bancaire projeté	408,504,085$

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	Brock Nelson	0	X	X			100.00	56	35	90	87	79	86	99	83	70	77	81	66	85	80	84	0	52	80	0	33	3	6,000,000$
2	Quinton Byfield (R) (A)	0	X				100.00	63	35	86	84	82	83	97	80	62	77	70	76	80	45	60	0	69	76	0	22	1	894,167$
3	Juraj Slafkovsky (R) (C)	0		X	X		100.00	74	40	82	84	93	86	99	76	55	73	70	76	79	45	58	0	69	76	0	20	2	950,000$
4	Jordan Greenway	0		X			100.00	78	47	75	82	91	84	81	71	55	68	64	78	75	56	71	0	69	74	0	27	3	3,000,000$
5	Pierre Engvall (R)	0		X			100.00	51	35	93	81	82	80	89	66	55	67	63	64	73	60	71	0	69	69	0	28	12	3,000,000$
6	Isac Lundestrom	0	X	X			100.00	62	35	98	79	75	78	60	61	66	61	60	75	70	48	64	0	69	67	0	24	1	1,800,000$
7	Matthew Kessel (R)	0			X		100.00	58	35	91	80	78	84	60	58	40	58	48	75	55	45	65	0	69	65	0	24	4	800,000$
8	Rudolfs Balcers	0		X			100.00	62	43	73	70	65	70	68	65	44	59	59	59	65	57	52	0	69	62	0	27	1	775,000$
9	Adam Erne	0		X	X		100.00	66	52	92	74	86	64	60	50	55	49	49	63	63	64	66	0	69	61	0	29	1	775,000$
10	Jesse Puljujarvi	0			X		100.00	61	35	92	76	78	67	60	50	55	49	54	63	65	52	61	0	69	60	0	26	3	1,339,575$
11	Torey Krug	0				X	100.00	61	35	89	86	77	95	93	78	40	77	55	83	64	80	88	0	69	81	0	33	7	6,500,000$
12	Jonas Brodin	0				X	100.00	53	35	92	85	72	98	75	79	40	72	63	88	67	72	85	0	69	80	0	31	9	6,000,000$
13	Justin Braun	0				X	100.00	66	35	81	85	64	92	99	64	40	54	62	79	40	88	76	0	69	77	0	37	4	775,000$
14	Owen Power (A)	0				X	100.00	53	35	90	85	81	97	92	78	40	72	59	77	66	45	67	0	69	76	0	21	1	916,667$
15	Mark Giordano	0				X	100.00	58	44	72	74	79	83	60	59	40	60	56	78	58	99	99	0	69	73	1	41	4	775,000$
16	Max Gildon	0				X	100.00	61	45	63	66	65	63	62	60	40	55	52	63	59	52	50	0	69	61	0	25	4	775,000$
17	Dillon Heatherington	0				X	100.00	56	35	68	69	65	63	53	51	40	68	53	54	51	64	64	0	78	60	0	29	4	775,000$
Rayé
1	Nick Schmaltz	0	X	X	X		95.00	60	35	96	86	68	89	95	81	60	80	72	68	81	60	75	0	68	77	0	28	5	5,850,000$
2	Tyler Boucher (R)	0			X		97.78	65	65	55	65	68	56	56	61	49	66	57	61	56	45	45	0	58	60	0	21	5	863,333$
Équipe Mineure
1	Mikael Pyyhtia (R)	0		X			100.00	44	35	99	77	61	76	60	54	55	52	47	58	64	45	59	0	71	58	0	22	3	897,500$
2	Milos Kelemen (R)	0		X			100.00	53	35	99	75	80	64	60	50	55	51	47	57	62	48	58	0	67	58	0	25	1	775,000$
3	Brandon Biro (R)	0		X			100.00	40	35	99	78	62	71	60	50	55	41	60	50	67	52	63	0	72	57	0	26	4	775,000$
4	Keean Washkurak (R)	0	X				100.00	72	55	52	45	67	57	52	52	40	67	56	61	40	45	45	0	70	56	0	23	1	862,500$
5	Johan Sodergran (R)	0	X	X	X		100.00	40	78	49	65	66	50	63	60	47	43	65	47	58	48	48	0	71	55	0	24	2	1,000,000$
6	Mikey Milne (R)	0		X			100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	55	55	0	69	55	0	22	2	861,667$
7	Jack Badini (R)	0	X				100.00	61	45	69	60	65	63	60	54	50	50	50	54	55	53	50	0	71	55	0	26	1	805,000$
8	Samuel Laberge (R)	0		X			100.00	47	35	99	71	82	54	60	50	55	41	41	53	60	56	57	0	68	55	0	27	4	925,000$
9	Arttu Ruotsalainen	0	X				100.00	64	35	60	54	71	64	60	58	65	46	56	50	50	56	56	0	69	55	0	26	2	1,500,000$
10	Trevor Kuntar (R)	0	X				100.00	55	58	49	49	69	55	45	65	41	42	47	65	56	45	45	0	72	54	0	23	3	867,500$
11	Maksim Sushko (R)	0			X		100.00	73	73	51	50	64	53	49	61	63	41	59	54	53	48	48	0	68	54	0	25	1	775,000$
12	Paul Ludwinski (R)	0	X				100.00	72	64	68	58	65	58	58	63	59	58	42	41	44	45	45	0	71	54	0	20	6	900,000$
13	Tyler Angle (R)	0	X				100.00	58	35	99	74	68	65	60	50	55	41	41	51	60	45	56	0	71	54	0	24	1	850,833$
14	Riley Kidney (R)	0	X				100.00	48	66	53	52	59	54	63	62	56	51	45	52	42	45	45	0	71	53	0	21	5	836,667$
15	Jakub Brebenec (R)	0	X				100.00	39	80	61	55	52	61	64	60	57	49	55	40	58	45	45	0	71	52	0	21	5	828,333$
16	Andre Lee (R)	0		X			100.00	52	52	66	69	61	46	60	50	58	41	40	53	55	45	45	0	53	51	0	24	1	883,750$
17	Topias Vilen (R)	0				X	100.00	53	35	58	67	64	60	62	53	41	43	67	69	49	45	45	0	74	60	0	21	5	836,667$
18	Derrick Pouliot	0				X	100.00	42	35	99	77	73	74	60	50	40	41	38	50	49	68	72	0	71	59	0	30	4	775,000$
19	Artem Grushnikov (R)	0				X	100.00	58	37	52	68	58	57	59	59	60	48	50	65	55	45	45	0	71	59	0	21	5	814,167$
20	Evan Nause (R)	0				X	100.00	74	39	59	51	60	56	53	63	54	45	40	67	48	45	45	0	71	58	0	21	4	864,167$
21	Veeti Vainio	0				X	100.00	55	55	55	55	55	55	55	55	55	55	65	55	55	55	55	0	64	56	0	27	4	775,000$
22	Matthew Hellickson (R)	0				X	100.00	56	57	47	61	62	56	48	58	47	46	66	53	53	52	52	0	73	56	0	26	2	800,000$
23	Alex Cotton (R)	0				X	100.00	58	72	69	57	56	61	52	66	50	48	53	49	57	52	52	0	71	55	0	26	2	1,000,000$
24	Simon Lundmark (R)	0				X	100.00	59	55	67	63	65	58	46	57	63	62	49	49	52	45	45	0	71	55	0	24	1	850,833$
25	Bear Hughes (R)	0	X				100.00	38	78	49	61	55	60	48	65	51	53	64	54	42	45	45	0	56	56	0	23	2	775,000$
26	Daniel Zhilkin (R)	0	X				100.00	41	48	68	45	58	57	51	59	42	43	52	45	45	45	45	0	35	50	0	20	5	831,667$

	MOYENNE D’ÉQUIPE						99.84	57	47	74	69	69	68	65	61	51	55	55	61	59	54	58	0	68	62

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	Jordan Binnington	0	100.00	91	97	97	83	91	86	91	90	91	90	86	70	89	0	72	89	0	31	7	6,000,000$
2	Justus Annunen (R)	0	100.00	87	69	79	93	81	77	83	81	84	81	78	47	45	0	72	78	0	24	1	775,000$
Rayé
Équipe Mineure
1	Louis Domingue	0	99.00	81	65	72	92	77	75	81	81	84	78	68	74	50	0	67	77	0	32	3	775,000$
2	Antoine Bibeau	0	100.00	71	66	65	67	67	65	67	64	65	67	65	59	52	0	76	65	0	30	3	775,000$
3	Keith Kinkaid	0	100.00	65	50	68	61	52	56	53	54	51	58	61	51	49	0	45	55	0	35	4	775,000$

	MOYENNE D’ÉQUIPE		99.80	79	69	76	79	74	72	75	74	75	75	72	60	57	0	66	73

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Ken Hitchcock	80	80	80	80	80	80	80	CAN	78	10	950,000$

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	P/20	PSG	PSS	S1	S2	S3
1	Quinton Byfield	Columbus Blue Jackets	C	15	9	7	16	0	6	28	20	44	17	25	20.45%	2	291	19.40	0	3	3	2	20	2	21	2	1	41.86%	172	13	5	0	1.10	0	2	5	1	0
2	Nick Schmaltz	Columbus Blue Jackets	C/LW/RW	15	8	8	16	6	0	28	22	50	11	37	16.00%	11	362	24.18	0	2	2	5	29	0	38	1	1	44.19%	43	12	10	1	0.88	2	2	2	4	1
3	Juraj Slafkovsky	Columbus Blue Jackets	LW/RW	15	5	9	14	7	8	28	14	39	16	28	12.82%	4	286	19.10	2	1	3	6	29	1	11	2	1	20.83%	24	11	4	0	0.98	1	1	2	1	1
4	Jordan Greenway	Columbus Blue Jackets	LW	15	3	6	9	1	18	41	27	27	15	23	11.11%	6	268	17.92	2	1	3	3	20	0	3	1	1	31.25%	16	11	4	0	0.67	0	1	0	2	1
5	Pierre Engvall	Columbus Blue Jackets	LW	15	5	3	8	1	0	10	10	36	10	18	13.89%	4	216	14.42	0	1	1	0	5	0	0	2	0	50.00%	18	12	2	0	0.74	0	1	0	1	1
6	Torey Krug	Columbus Blue Jackets	D	15	1	5	6	4	4	19	23	26	12	11	3.85%	11	409	27.33	0	1	1	4	30	1	35	0	0	0%	0	10	16	0	0.29	0	0	0	2	0
7	Brock Nelson	Columbus Blue Jackets	C/LW	6	3	3	6	0	0	7	12	23	7	11	13.04%	1	138	23.14	1	0	1	1	9	0	9	1	1	39.35%	155	7	3	0	0.86	0	2	0	0	1
8	Owen Power	Columbus Blue Jackets	D	15	2	3	5	3	2	6	12	18	7	10	11.11%	10	296	19.78	1	0	1	1	19	0	25	1	0	0%	0	4	4	0	0.34	0	0	0	0	1
9	Matthew Kessel	Columbus Blue Jackets	RW	15	1	3	4	1	4	19	18	12	4	6	8.33%	5	261	17.41	0	0	0	1	20	0	0	0	0	50.00%	4	0	3	0	0.31	0	0	0	0	2
10	Tyler Boucher	Columbus Blue Jackets	RW	13	0	4	4	6	12	17	17	7	4	4	0%	6	183	14.14	0	0	0	4	15	0	14	0	0	34.17%	240	0	3	0	0.44	0	0	0	0	1
11	Jonas Brodin	Columbus Blue Jackets	D	15	1	3	4	4	2	10	27	26	7	9	3.85%	20	409	27.29	1	0	1	7	30	2	37	0	0	0%	0	16	14	0	0.20	0	1	0	0	0
12	Isac Lundestrom	Columbus Blue Jackets	C/LW	15	1	3	4	1	2	16	21	17	7	17	5.88%	10	225	15.02	0	0	0	0	0	0	19	0	0	40.19%	107	6	3	0	0.36	0	1	1	0	0
13	Justin Braun	Columbus Blue Jackets	D	15	1	2	3	2	4	12	27	10	3	9	10.00%	21	298	19.88	0	1	1	1	19	0	25	0	1	0%	0	2	11	0	0.20	0	0	0	0	0
14	Mark Giordano	Columbus Blue Jackets	D	15	0	2	2	-1	0	3	9	7	3	2	0%	11	195	13.01	0	0	0	0	0	0	0	0	0	0%	0	0	7	0	0.20	0	0	0	0	0
15	Rudolfs Balcers	Columbus Blue Jackets	LW	15	0	0	0	0	0	13	6	10	4	3	0%	0	119	7.99	0	0	0	0	0	0	11	0	0	50.00%	2	2	2	0	0	0	0	0	0	0
16	Adam Erne	Columbus Blue Jackets	LW/RW	15	0	0	0	1	6	24	17	8	1	3	0%	1	199	13.32	0	0	0	0	0	0	0	0	0	50.00%	6	1	2	0	0	0	0	0	0	0
17	Jesse Puljujarvi	Columbus Blue Jackets	RW	15	0	0	0	0	0	5	9	1	2	1	0%	2	99	6.61	0	0	0	0	0	0	0	0	0	0%	2	0	1	0	0	0	0	0	0	0
18	Dillon Heatherington	Columbus Blue Jackets	D	11	0	0	0	0	0	0	0	0	0	0	0%	0	3	0.36	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0
19	Max Gildon	Columbus Blue Jackets	D	15	0	0	0	-1	8	7	12	4	4	1	0%	6	198	13.25	0	0	0	0	0	0	4	0	0	0%	0	0	1	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				270	40	61	101	35	76	293	303	365	134	218	10.96%	131	4465	16.54	7	10	17	35	252	6	259	10	6	38.28%	789	107	95	1	0.45	3	11	10	11	9

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Jordan Binnington	Columbus Blue Jackets	15	11	3	1	0.916	2.18	909	2	0	33	392	169	2	0	0.727	11	15	0	1	0	1
Statistiques d’équipe totales ou en moyenne			15	11	3	1	0.916	2.18	909	2	0	33	392	169	2	0		11	15	0	1	0	1

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Date de la Dernière Transaction	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire année 2	Salaire année 3	Salaire année 4	Salaire année 5	Salaire année 6	Salaire année 7	Salaire année 8	Salaire année 9	Salaire année 10	Plafond salarial année 2	Plafond salarial année 3	Plafond salarial année 4	Plafond salarial année 5	Plafond salarial année 6	Plafond salarial année 7	Plafond salarial année 8	Plafond salarial année 9	Plafond salarial année 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 Erne	Columbus Blue Jackets	LW/RW	29	1995-04-20	No	212 Lbs	6 ft1	No	No	N/A		No	Yes	1	2024-01-20	False	False	Pro & Farm	775,000$	775,000$	595,290$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Brock Nelson (contrat à 1 volet)	Columbus Blue Jackets	C/LW	33	1991-10-15	No	210 Lbs	6 ft4	No	No	N/A		No	No	3		False	False	Pro & Farm	6,000,000$	6,000,000$	4,608,696$	No	6,000,000$	6,000,000$	-	-	-	-	-	-	-	6,000,000$	6,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Dillon Heatherington (contrat à 1 volet)	Columbus Blue Jackets	D	29	1995-05-09	No	215 Lbs	6 ft4	No	No	Assign Manually		No	Yes	4	2024-08-01	False	False	Pro & Farm	775,000$	775,000$	595,290$	No	775,000$	775,000$	775,000$	-	-	-	-	-	-	775,000$	775,000$	775,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Isac Lundestrom	Columbus Blue Jackets	C/LW	24	1999-11-06	No	193 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	1,800,000$	1,800,000$	1,382,609$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Jesse Puljujarvi	Columbus Blue Jackets	RW	26	1998-05-07	No	201 Lbs	6 ft4	No	No	Trade	2024-02-06	No	Yes	3	2024-02-04	False	False	Pro & Farm	1,339,575$	1,339,575$	1,028,949$	No	1,339,575$	1,339,575$	-	-	-	-	-	-	-	1,339,575$	1,339,575$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Jonas Brodin (contrat à 1 volet)	Columbus Blue Jackets	D	31	1993-07-12	No	196 Lbs	6 ft2	No	No	N/A		No	No	9	2024-07-21	False	False	Pro & Farm	6,000,000$	6,000,000$	4,608,696$	No	6,000,000$	6,000,000$	6,000,000$	6,000,000$	6,000,000$	6,000,000$	6,000,000$	6,000,000$	-	6,000,000$	6,000,000$	6,000,000$	6,000,000$	6,000,000$	6,000,000$	6,000,000$	6,000,000$	-	No	No	No	No	No	No	No	No	-	Lien / Lien NHL
Jordan Binnington (contrat à 1 volet)	Columbus Blue Jackets	G	31	1993-07-11	No	172 Lbs	6 ft2	No	No	N/A		No	Yes	7		False	False	Pro & Farm	6,000,000$	6,000,000$	4,608,696$	No	6,000,000$	6,000,000$	6,000,000$	6,000,000$	6,000,000$	6,000,000$	-	-	-	6,000,000$	6,000,000$	6,000,000$	6,000,000$	6,000,000$	6,000,000$	-	-	-	No	No	No	No	No	No	-	-	-	Lien / Lien NHL
Jordan Greenway (contrat à 1 volet)	Columbus Blue Jackets	LW	27	1997-02-16	No	231 Lbs	6 ft6	No	No	N/A		No	Yes	3		False	False	Pro & Farm	3,000,000$	3,000,000$	2,304,348$	No	3,000,000$	3,000,000$	-	-	-	-	-	-	-	3,000,000$	3,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Juraj Slafkovsky	Columbus Blue Jackets	LW/RW	20	2004-03-30	Yes	238 Lbs	6 ft3	No	No	N/A		No	No	2		False	False	Pro & Farm	950,000$	950,000$	729,710$	No	950,000$	-	-	-	-	-	-	-	-	950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Justin Braun	Columbus Blue Jackets	D	37	1987-02-10	No	205 Lbs	6 ft2	No	No	Assign Manually		No	No	4	2024-08-01	False	False	Pro & Farm	775,000$	775,000$	595,290$	No	775,000$	775,000$	775,000$	-	-	-	-	-	-	775,000$	775,000$	775,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien NHL
Justus Annunen	Columbus Blue Jackets	G	24	2000-03-11	Yes	210 Lbs	6 ft4	No	No	N/A		No	No	1	2024-01-20	False	False	Pro & Farm	775,000$	775,000$	595,290$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Mark Giordano	Columbus Blue Jackets	D	41	1983-10-03	No	205 Lbs	6 ft0	No	No	Assign Manually		No	Yes	4	2024-08-01	False	False	Pro & Farm	775,000$	775,000$	595,290$	No	775,000$	775,000$	775,000$	-	-	-	-	-	-	775,000$	775,000$	775,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Matthew Kessel	Columbus Blue Jackets	RW	24	2000-06-23	Yes	205 Lbs	6 ft2	No	No	N/A		No	No	4	2024-07-21	False	False	Pro & Farm	800,000$	800,000$	614,493$	No	800,000$	800,000$	800,000$	-	-	-	-	-	-	800,000$	800,000$	800,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Max Gildon	Columbus Blue Jackets	D	25	1999-05-17	No	194 Lbs	6 ft3	No	No	Assign Manually		No	Yes	4	2024-08-01	False	False	Pro & Farm	775,000$	775,000$	595,290$	No	775,000$	775,000$	775,000$	-	-	-	-	-	-	775,000$	775,000$	775,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Nick Schmaltz (contrat à 1 volet)	Columbus Blue Jackets	C/LW/RW	28	1996-02-23	No	181 Lbs	6 ft0	No	No	N/A		No	No	5		False	False	Pro & Farm	5,850,000$	5,850,000$	4,493,478$	No	5,850,000$	5,850,000$	5,850,000$	5,850,000$	-	-	-	-	-	5,850,000$	5,850,000$	5,850,000$	5,850,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien / Lien NHL
Owen Power	Columbus Blue Jackets	D	21	2002-11-22	No	218 Lbs	6 ft6	No	No	N/A		No	No	1		False	False	Pro & Farm	916,667$	916,667$	704,107$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Pierre Engvall (contrat à 1 volet)	Columbus Blue Jackets	LW	28	1996-05-31	Yes	219 Lbs	6 ft5	No	No	N/A		No	No	12	2024-07-21	False	False	Pro & Farm	3,000,000$	3,000,000$	2,304,348$	No	3,000,000$	3,000,000$	3,000,000$	3,000,000$	3,000,000$	3,000,000$	3,000,000$	3,000,000$	3,000,000$	3,000,000$	3,000,000$	3,000,000$	3,000,000$	3,000,000$	3,000,000$	3,000,000$	3,000,000$	3,000,000$	No	No	No	No	No	No	No	No	No	Lien / Lien NHL
Quinton Byfield	Columbus Blue Jackets	C	22	2002-08-19	Yes	220 Lbs	6 ft5	No	No	N/A		No	No	1		False	False	Pro & Farm	894,167$	894,167$	686,824$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Rudolfs Balcers	Columbus Blue Jackets	LW	27	1997-04-08	No	181 Lbs	5 ft11	No	No	N/A		No	Yes	1	2024-07-21	False	False	Pro & Farm	775,000$	775,000$	595,290$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Torey Krug (contrat à 1 volet)	Columbus Blue Jackets	D	33	1991-04-12	No	194 Lbs	5 ft9	No	No	N/A		No	No	7		False	False	Pro & Farm	6,500,000$	6,500,000$	4,992,754$	No	6,500,000$	6,500,000$	6,500,000$	6,500,000$	6,500,000$	6,500,000$	-	-	-	6,500,000$	6,500,000$	6,500,000$	6,500,000$	6,500,000$	6,500,000$	-	-	-	No	No	No	No	No	No	-	-	-	Lien / Lien NHL
Tyler Boucher	Columbus Blue Jackets	RW	21	2003-01-16	Yes	205 Lbs	6 ft1	No	No	Prospect		No	No	5	2024-01-20	False	False	Pro & Farm	863,333$	863,333$	663,140$	No	863,333$	863,333$	863,333$	863,333$	-	-	-	-	-	863,333$	863,333$	863,333$	863,333$	-	-	-	-	-	No	No	No	No	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	27.67	205 Lbs	6 ft2	3.90	2,349,464$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
49,338,742$	43,402,908$	42,452,908$	32,113,333$	28,213,333$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1		Brock Nelson	Juraj Slafkovsky	40	1	2	2
2	Jordan Greenway	Quinton Byfield	Matthew Kessel	30	1	2	2
3	Pierre Engvall	Isac Lundestrom	Adam Erne	20	1	2	2
4	Rudolfs Balcers		Jesse Puljujarvi	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Torey Krug	Jonas Brodin	40	1	2	2
2	Justin Braun	Owen Power	30	1	2	2
3	Mark Giordano	Max Gildon	20	1	2	2
4	Torey Krug	Jonas Brodin	10	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1		Pierre Engvall	Juraj Slafkovsky	60	1	2	2
2	Jordan Greenway	Quinton Byfield	Matthew Kessel	40	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Torey Krug	Jonas Brodin	60	1	2	2
2	Justin Braun	Owen Power	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Jordan Greenway		60	1	2	2
2	Quinton Byfield	Juraj Slafkovsky	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Torey Krug	Jonas Brodin	60	1	2	2
2	Justin Braun	Owen Power	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Juraj Slafkovsky	60	1	2	2	Torey Krug	Jonas Brodin	60	1	2	2
2		40	1	2	2	Justin Braun	Owen Power	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Jordan Greenway		60	1	2	2
2	Quinton Byfield	Juraj Slafkovsky	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Torey Krug	Jonas Brodin	60	1	2	2
2	Justin Braun	Owen Power	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
	Brock Nelson	Juraj Slafkovsky	Torey Krug	Jonas Brodin

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
	Brock Nelson	Juraj Slafkovsky	Torey Krug	Jonas Brodin

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
, Pierre Engvall, Isac Lundestrom	, Pierre Engvall	Isac Lundestrom

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Mark Giordano, Max Gildon, Justin Braun	Mark Giordano	Max Gildon, Justin Braun

Tirs de pénalité
Pierre Engvall, , Quinton Byfield, Juraj Slafkovsky, Jordan Greenway

Gardien
#1 : Jordan Binnington, #2 : Justus Annunen

Lignes d’attaque personnalisées en prolongation
Brock Nelson, , Quinton Byfield, Juraj Slafkovsky, Jordan Greenway, Pierre Engvall, Pierre Engvall, Isac Lundestrom, Matthew Kessel, Rudolfs Balcers, Adam Erne

Lignes de défense personnalisées en prolongation
Torey Krug, Jonas Brodin, Justin Braun, Owen Power, Mark Giordano

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	Carolina Hurricanes	1	0	0	0	0	0	0	1	1	2	-1	1	0	0	0	0	0	0	1	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	1	2	3	0	0	0	1	0	2	27	3	16	6	10	32	11	0	17	5	1	20.00%	0	0	0%	0	109	275	39.64%	120	314	38.22%	73	194	37.63%	22	12	23	9	19	10
2	Montreal Canadiens	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	0	2	1	0	27	8	7	12	0	29	9	6	17	0	0	0%	3	0	100.00%	0	109	275	39.64%	120	314	38.22%	73	194	37.63%	19	11	24	8	15	7
3	New Jersey Devils	2	2	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	3	1	4	1.000	8	13	21	0	0	2	4	2	0	49	17	10	22	0	61	24	14	24	5	2	40.00%	7	1	85.71%	0	109	275	39.64%	120	314	38.22%	73	194	37.63%	36	19	46	19	36	17
4	New York Islanders	2	2	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	2	1	1	4	1.000	5	8	13	0	0	0	1	4	0	50	13	13	24	0	40	17	8	38	3	1	33.33%	4	1	75.00%	0	109	275	39.64%	120	314	38.22%	73	194	37.63%	37	20	43	18	38	18
5	New York Rangers	2	0	1	0	0	0	1	0	5	7	-2	0	0	0	0	0	0	0	0	0	0	0	2	0	1	0	0	0	1	0	5	7	-2	2	0.500	5	6	11	0	0	1	2	1	1	47	9	22	16	3	56	19	6	38	5	0	0.00%	3	2	33.33%	0	109	275	39.64%	120	314	38.22%	73	194	37.63%	37	21	50	19	36	18
6	Philadelphia Flyers	2	1	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	0	3	-3	1	1	0	0	0	0	0	0	3	2	1	2	0.500	3	5	8	0	0	1	1	1	0	40	6	12	22	0	44	18	8	55	4	1	25.00%	4	1	75.00%	0	109	275	39.64%	120	314	38.22%	73	194	37.63%	40	21	39	20	40	18
7	Pittsburgh Penguins	2	1	1	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	4	5	9	0	0	1	1	2	0	46	6	21	19	0	49	15	12	39	5	0	0.00%	6	1	83.33%	0	109	275	39.64%	120	314	38.22%	73	194	37.63%	42	22	43	17	34	17
8	Washington Capitals	3	2	0	0	1	0	0	0	12	8	4	1	0	0	0	1	0	0	0	3	2	1	2	2	0	0	0	0	0	0	9	6	3	6	1.000	12	17	29	0	0	3	4	4	1	79	15	34	29	1	81	18	24	65	4	2	50.00%	12	1	91.67%	0	109	275	39.64%	120	314	38.22%	73	194	37.63%	58	31	68	29	53	25
	Total	15	9	3	0	1	0	1	1	41	34	7	7	4	1	0	1	0	0	1	17	13	4	8	5	2	0	0	0	1	0	24	21	3	23	0.767	41	61	102	0	0	8	16	15	4	365	77	135	150	14	392	131	78	293	31	7	22.58%	39	7	82.05%	0	109	275	39.64%	120	314	38.22%	73	194	37.63%	295	159	339	141	276	135
	_Since Last GM Reset	15	9	3	0	1	0	1	1	41	34	7	7	4	1	0	1	0	0	1	17	13	4	8	5	2	0	0	0	1	0	24	21	3	23	0.767	41	61	102	0	0	8	16	15	4	365	77	135	150	14	392	131	78	293	31	7	22.58%	39	7	82.05%	0	109	275	39.64%	120	314	38.22%	73	194	37.63%	295	159	339	141	276	135
	_Vs Conference	15	9	3	0	1	0	1	1	41	34	7	7	4	1	0	1	0	0	1	17	13	4	8	5	2	0	0	0	1	0	24	21	3	23	0.767	41	61	102	0	0	8	16	15	4	365	77	135	150	14	392	131	78	293	31	7	22.58%	39	7	82.05%	0	109	275	39.64%	120	314	38.22%	73	194	37.63%	295	159	339	141	276	135
	_Vs Division	14	8	3	0	1	0	1	1	38	32	6	6	3	1	0	1	0	0	1	14	11	3	8	5	2	0	0	0	1	0	24	21	3	21	0.750	38	56	94	0	0	8	14	14	4	338	69	128	138	14	363	122	72	276	31	7	22.58%	36	7	80.56%	0	109	275	39.64%	120	314	38.22%	73	194	37.63%	276	148	314	133	260	127

			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
15	23	L1	41	61	102	365	392	131	78	293	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	9	3	1	0	1	1	41	34

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	4	1	1	0	0	1	17	13

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	5	2	0	0	1	0	24	21

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
7	3	0	0	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
31	7	22.58%	39	7	82.05%	0

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
77	135	150	14	8	16	15	4

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
109	275	39.64%	120	314	38.22%	73	194	37.63%

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
295	159	339	141	276	135

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
11	14	Washington Capitals	2	Columbus Blue Jackets	3	W	X		Sommaire du match
13	34	Columbus Blue Jackets	5	Washington Capitals	3	W			Sommaire du match
15	52	Carolina Hurricanes	2	Columbus Blue Jackets	1	L	X	X	Sommaire du match
16	73	Columbus Blue Jackets	3	New York Rangers	2	W	X	X	Sommaire du match
17	82	Columbus Blue Jackets	2	New York Islanders	1	W			Sommaire du match
19	97	Pittsburgh Penguins	1	Columbus Blue Jackets	3	W			Sommaire du match
20	109	Columbus Blue Jackets	3	Philadelphia Flyers	2	W			Sommaire du match
21	128	Philadelphia Flyers	3	Columbus Blue Jackets	0	L			Sommaire du match
23	145	Columbus Blue Jackets	4	New Jersey Devils	3	W			Sommaire du match
24	159	New York Islanders	1	Columbus Blue Jackets	3	W			Sommaire du match
25	174	Columbus Blue Jackets	4	Washington Capitals	3	W			Sommaire du match
27	192	Montreal Canadiens	2	Columbus Blue Jackets	3	W			Sommaire du match
28	200	Columbus Blue Jackets	1	Pittsburgh Penguins	2	L			Sommaire du match
30	223	New Jersey Devils	2	Columbus Blue Jackets	4	W			Sommaire du match
31	239	Columbus Blue Jackets	2	New York Rangers	5	L			Sommaire du match
33	253	New York Rangers	-	Columbus Blue Jackets	-
35	271	Boston Bruins	-	Columbus Blue Jackets	-
36	290	Columbus Blue Jackets	-	Philadelphia Flyers	-
38	302	Columbus Blue Jackets	-	New York Islanders	-
39	319	Vegas Golden Knights	-	Columbus Blue Jackets	-
41	338	Columbus Blue Jackets	-	St. Louis Blues	-
42	352	Montreal Canadiens	-	Columbus Blue Jackets	-
44	368	New York Islanders	-	Columbus Blue Jackets	-
46	387	Columbus Blue Jackets	-	Seattle Kraken	-
47	398	Montreal Canadiens	-	Columbus Blue Jackets	-
48	415	Columbus Blue Jackets	-	Boston Bruins	-
49	431	Columbus Blue Jackets	-	New York Islanders	-
51	447	New York Islanders	-	Columbus Blue Jackets	-
53	464	Tampa Bay Lightning	-	Columbus Blue Jackets	-
54	478	Columbus Blue Jackets	-	Ottawa Senators	-
56	494	Columbus Blue Jackets	-	Los Angeles Kings	-
57	505	Colorado Avalanche	-	Columbus Blue Jackets	-
58	526	Columbus Blue Jackets	-	Vegas Golden Knights	-
60	539	Winnipeg Jets	-	Columbus Blue Jackets	-
61	558	Columbus Blue Jackets	-	Edmonton Oilers	-
63	570	Anaheim Ducks	-	Columbus Blue Jackets	-
64	589	Dallas Stars	-	Columbus Blue Jackets	-
66	600	Columbus Blue Jackets	-	Carolina Hurricanes	-
68	620	Ottawa Senators	-	Columbus Blue Jackets	-
70	638	Columbus Blue Jackets	-	Pittsburgh Penguins	-
71	653	Winnipeg Jets	-	Columbus Blue Jackets	-
73	670	Columbus Blue Jackets	-	Minnesota Wild	-
74	685	Buffalo Sabres	-	Columbus Blue Jackets	-
75	697	Columbus Blue Jackets	-	Montreal Canadiens	-
77	715	Philadelphia Flyers	-	Columbus Blue Jackets	-
78	730	Columbus Blue Jackets	-	Seattle Kraken	-
79	743	Columbus Blue Jackets	-	Buffalo Sabres	-
82	762	San Jose Sharks	-	Columbus Blue Jackets	-
84	783	New Jersey Devils	-	Columbus Blue Jackets	-
86	798	Columbus Blue Jackets	-	New Jersey Devils	-
87	812	New Jersey Devils	-	Columbus Blue Jackets	-
89	829	Columbus Blue Jackets	-	New York Rangers	-
90	841	Columbus Blue Jackets	-	Philadelphia Flyers	-
92	856	Detroit Red Wings	-	Columbus Blue Jackets	-
94	878	Carolina Hurricanes	-	Columbus Blue Jackets	-
95	886	Columbus Blue Jackets	-	Florida Panthers	-
97	909	Washington Capitals	-	Columbus Blue Jackets	-
98	926	Columbus Blue Jackets	-	Carolina Hurricanes	-
99	932	Columbus Blue Jackets	-	Pittsburgh Penguins	-
101	949	Philadelphia Flyers	-	Columbus Blue Jackets	-
103	969	Florida Panthers	-	Columbus Blue Jackets	-
104	986	Columbus Blue Jackets	-	Toronto Maple Leafs	-
106	1006	Vancouver Canucks	-	Columbus Blue Jackets	-
108	1018	Columbus Blue Jackets	-	Washington Capitals	-
109	1034	Carolina Hurricanes	-	Columbus Blue Jackets	-
110	1048	Columbus Blue Jackets	-	Nashville Predators	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
112	1067	Chicago Blackhawks	-	Columbus Blue Jackets	-
114	1086	Columbus Blue Jackets	-	Carolina Hurricanes	-
115	1091	Columbus Blue Jackets	-	Calgary Flames	-
116	1108	New York Rangers	-	Columbus Blue Jackets	-
118	1131	Pittsburgh Penguins	-	Columbus Blue Jackets	-
120	1150	Columbus Blue Jackets	-	New Jersey Devils	-
121	1164	New York Rangers	-	Columbus Blue Jackets	-
122	1170	Columbus Blue Jackets	-	Washington Capitals	-
125	1195	Washington Capitals	-	Columbus Blue Jackets	-
126	1208	Columbus Blue Jackets	-	Arizona Coyotes	-
127	1221	Columbus Blue Jackets	-	Detroit Red Wings	-
129	1234	Columbus Blue Jackets	-	Minnesota Wild	-
130	1247	Toronto Maple Leafs	-	Columbus Blue Jackets	-
131	1262	Columbus Blue Jackets	-	Tampa Bay Lightning	-
133	1278	Pittsburgh Penguins	-	Columbus Blue Jackets	-
137	1305	Seattle Kraken	-	Columbus Blue Jackets	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4204	940
Prix des billets	180	145	75	55	400
Assistance	29,400	24,500	9,800	20,601	4,606
Attendance PCT	70.00%	70.00%	70.00%	70.00%	70.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
34	12701 - 70.00%	2,672,412$	18,706,884$	18144	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
11,661,152$	49,338,742$	49,338,742$	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
357,527$	11,440,864$	0$	21	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
90,862,008$	106	364,411$	38,627,566$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
40,520,866$	358,162,943$	408,504,085$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
49,338,726$	38,661,274$	88,000,000$	-18,661,274$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Brock Nelson	AGE:33	PO:0	OV:80
Nick Schmaltz	AGE:28	PO:0	OV:77
Juraj Slafkovsky (R)	AGE:20	PO:0	OV:76
Jordan Greenway	AGE:27	PO:0	OV:74
Pierre Engvall (R)	AGE:28	PO:0	OV:69
Isac Lundestrom	AGE:24	PO:0	OV:67
Rudolfs Balcers	AGE:27	PO:0	OV:62
Adam Erne	AGE:29	PO:0	OV:61
Mikael Pyyhtia (R)	AGE:22	PO:0	OV:58
Milos Kelemen (R)	AGE:25	PO:0	OV:58
Brandon Biro (R)	AGE:26	PO:0	OV:57
Johan Sodergran (R)	AGE:24	PO:0	OV:55
Mikey Milne (R)	AGE:22	PO:0	OV:55
Samuel Laberge (R)	AGE:27	PO:0	OV:55
Andre Lee (R)	AGE:24	PO:0	OV:51

Brock Nelson	AGE:33	PO:0	OV:80
Nick Schmaltz	AGE:28	PO:0	OV:77
Quinton Byfield (R)	AGE:22	PO:0	OV:76
Isac Lundestrom	AGE:24	PO:0	OV:67
Bear Hughes (R)	AGE:23	PO:0	OV:56
Keean Washkurak (R)	AGE:23	PO:0	OV:56
Johan Sodergran (R)	AGE:24	PO:0	OV:55
Jack Badini (R)	AGE:26	PO:0	OV:55
Arttu Ruotsalainen	AGE:26	PO:0	OV:55
Trevor Kuntar (R)	AGE:23	PO:0	OV:54
Paul Ludwinski (R)	AGE:20	PO:0	OV:54
Tyler Angle (R)	AGE:24	PO:0	OV:54
Riley Kidney (R)	AGE:21	PO:0	OV:53
Jakub Brebenec (R)	AGE:21	PO:0	OV:52
Daniel Zhilkin (R)	AGE:20	PO:0	OV:50

Nick Schmaltz	AGE:28	PO:0	OV:77
Juraj Slafkovsky (R)	AGE:20	PO:0	OV:76
Matthew Kessel (R)	AGE:24	PO:0	OV:65
Adam Erne	AGE:29	PO:0	OV:61
Jesse Puljujarvi	AGE:26	PO:0	OV:60
Tyler Boucher (R)	AGE:21	PO:0	OV:60
Johan Sodergran (R)	AGE:24	PO:0	OV:55
Maksim Sushko (R)	AGE:25	PO:0	OV:54

Défense #1

Défense #2

Gardien

Torey Krug	AGE:33	PO:0	OV:81
Jonas Brodin	AGE:31	PO:0	OV:80
Justin Braun	AGE:37	PO:0	OV:77
Owen Power	AGE:21	PO:0	OV:76
Mark Giordano	AGE:41	PO:0	OV:73
Max Gildon	AGE:25	PO:0	OV:61
Dillon Heatherington	AGE:29	PO:0	OV:60
Topias Vilen (R)	AGE:21	PO:0	OV:60

Derrick Pouliot	AGE:30	PO:0	OV:59
Artem Grushnikov (R)	AGE:21	PO:0	OV:59
Evan Nause (R)	AGE:21	PO:0	OV:58
Veeti Vainio	AGE:27	PO:0	OV:56
Matthew Hellickson (R)	AGE:26	PO:0	OV:56
Alex Cotton (R)	AGE:26	PO:0	OV:55
Simon Lundmark (R)	AGE:24	PO:0	OV:55

Jordan Binnington	AGE:31	PO:0	OV:89
Justus Annunen (R)	AGE:24	PO:0	OV:78
Louis Domingue	AGE:32	PO:0	OV:77
Antoine Bibeau	AGE:30	PO:0	OV:65
Keith Kinkaid	AGE:35	PO:0	OV:55

Espoirs

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Espoir	Nom de l’équipe	Année de repêchage	Choix total	Information	Lien
Alex Bump	Columbus Blue Jackets	0	0
Alex Pharand	Columbus Blue Jackets	2023	110	0	Lien
Anton Olsson	Columbus Blue Jackets	0	0
Brett Hyland	Columbus Blue Jackets	2023	206	0	Lien
Cade LIttler	Columbus Blue Jackets	0	0
Cameron Lund	Columbus Blue Jackets	0	0
Carter Yakemchuk	Columbus Blue Jackets	2024	9	0	Lien
Chandler Romeo	Columbus Blue Jackets	0	0
Charlie Elick	Columbus Blue Jackets	2024	39	0	Lien
Charlie Stramel	Columbus Blue Jackets	2023	25	0	Lien
Christopher Romaine	Columbus Blue Jackets	0	0
Danny Nelson	Columbus Blue Jackets	2023	59	0	Lien
Dustyn Mcfaul	Columbus Blue Jackets	0	0
Dyllan Gill	Columbus Blue Jackets	0	0
Emil Hemming	Columbus Blue Jackets	2024	31	0	Lien
Emmett Croteau	Columbus Blue Jackets	0	0
Ethan Bowen	Columbus Blue Jackets	0	0
Jack Phelan	Columbus Blue Jackets	2023	142	0	Lien
Jack Pridham	Columbus Blue Jackets	2024	103	0	Lien
Jeremy Langlois	Columbus Blue Jackets	0	0
Jonathan Morello	Columbus Blue Jackets	2024	167	0	Lien
Jordan Kooy	Columbus Blue Jackets	0	0
Kaleb Lawrence	Columbus Blue Jackets	0	0
Lenni Killinen	Columbus Blue Jackets	0	0
Luca Munzenberger	Columbus Blue Jackets	0	0
Max McCue	Columbus Blue Jackets	0	0
Maxim Masse	Columbus Blue Jackets	2024	71	0	Lien
Nikita Yevseyev	Columbus Blue Jackets	0	0
Parker Alcos	Columbus Blue Jackets	2024	199	0	Lien
Theo Lindstein	Columbus Blue Jackets	2023	31	0	Lien
Tom Willander	Columbus Blue Jackets	2023	14	0	Lien
Trey Augustine	Columbus Blue Jackets	2023	46	0	Lien
Visa Vedenpaa	Columbus Blue Jackets	2023	174	0	Lien
Zakary Karpa	Columbus Blue Jackets	0	0

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
22
24
25
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

[8/1/2024 4:57:07 PM] - Keith Kinkaid was added to Columbus Blue Jackets.
[8/1/2024 4:57:07 PM] - Max Gildon was added to Columbus Blue Jackets.
[8/1/2024 4:57:07 PM] - Veeti Vainio was added to Columbus Blue Jackets.
[8/1/2024 4:57:07 PM] - Derrick Pouliot was added to Columbus Blue Jackets.
[8/1/2024 4:57:07 PM] - Dillon Heatherington was added to Columbus Blue Jackets.
[8/1/2024 4:57:07 PM] - Mark Giordano was added to Columbus Blue Jackets.
[8/1/2024 4:57:07 PM] - Justin Braun was added to Columbus Blue Jackets.
[7/28/2024 6:40:17 AM] - Evan Nause was added to Columbus Blue Jackets.
[7/28/2024 6:40:17 AM] - Bear Hughes was added to Columbus Blue Jackets.
[7/28/2024 6:40:17 AM] - Paul Ludwinski was added to Columbus Blue Jackets.
[7/28/2024 6:38:28 AM] - Samuel Laberge was added to Columbus Blue Jackets.
[7/14/2024 12:07:58 PM] - Parker Alcos has been added to Columbus Blue Jackets.
[7/14/2024 12:07:58 PM] - Jonathan Morello has been added to Columbus Blue Jackets.
[7/14/2024 12:07:58 PM] - Jack Pridham has been added to Columbus Blue Jackets.
[7/14/2024 12:07:58 PM] - Maxim Masse has been added to Columbus Blue Jackets.
[7/14/2024 12:07:58 PM] - Charlie Elick has been added to Columbus Blue Jackets.
[7/14/2024 12:07:58 PM] - Emil Hemming has been added to Columbus Blue Jackets.
[7/14/2024 12:07:58 PM] - Carter Yakemchuk has been added to Columbus Blue Jackets.
[7/13/2024 9:15:06 AM] - TRADE : From Chicago Blackhawks to Columbus Blue Jackets : $5,000,000 (Money).

[10/15/2024 7:58:56 PM] Columbus Blue Jackets are expected to be under the minimum salary cap by $18,661,274!
[10/15/2024 7:58:35 PM] Bear Hughes from Cleveland Monsters is back from Sore Left Knee Injury.
[10/15/2024 7:58:35 PM] Nick Schmaltz from Columbus Blue Jackets is back from Exhaustion.
[10/15/2024 7:58:35 PM] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[10/15/2024 7:58:33 PM] Game 313 - Bear Hughes from Cleveland Monsters is injured (Sore Left Knee) and is out for the game.
[10/14/2024 8:23:43 PM] Columbus Blue Jackets are expected to be under the minimum salary cap by $18,661,274!
[10/14/2024 8:23:23 PM] Tyler Boucher from Columbus Blue Jackets is back from Sports Hernia Injury.
[10/14/2024 8:23:23 PM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[10/14/2024 8:23:22 PM] Nick Schmaltz from Columbus Blue Jackets is injured from Exhaustion.
[10/13/2024 9:29:13 PM] Columbus Blue Jackets are expected to be under the minimum salary cap by $18,661,274!
[10/13/2024 9:29:06 PM] Both Columbus Blue Jackets and Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[10/13/2024 9:29:01 PM] Auto Lines Partial Function has been run for Columbus Blue Jackets.
[10/13/2024 9:29:01 PM] Columbus Blue Jackets lines errors : Normal line # 1 C is empty. PP line 1 C is empty. PK line 1 C is empty. LastMinOff line C is empty. LastMinDef line C is empty. Extra Forward #1 is empty. Extra Forward #4 is empty. OT Forward #1 is empty.
[10/13/2024 9:29:01 PM] Auto Roster Partial Function has been run for Columbus Blue Jackets.
[10/13/2024 9:29:01 PM] Columbus Blue Jackets roster errors : Not enough Forward available in Pro Team! 10 Dressed. 11 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[10/12/2024 9:34:46 PM] Columbus Blue Jackets are expected to be under the minimum salary cap by $18,661,274!
[10/12/2024 9:34:38 PM] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[10/11/2024 9:13:25 PM] Columbus Blue Jackets are expected to be under the minimum salary cap by $18,661,274!
[10/11/2024 9:13:16 PM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[10/11/2024 9:13:16 PM] Last 7 Days Pro Star : 1 - Kevin Fiala of Montreal Canadiens (4-6-10) / 2 - Mason Appleton of Toronto Maple Leafs (5-1-6) / 3 - Nick Schmaltz of Columbus Blue Jackets (4-5-9)
[10/11/2024 9:13:13 PM] Game 200 - Tyler Boucher from Columbus Blue Jackets is injured (Sports Hernia) and is out for 1 week.
[10/9/2024 8:12:35 PM] Columbus Blue Jackets are expected to be under the minimum salary cap by $18,661,274!
[10/9/2024 8:12:22 PM] Both Columbus Blue Jackets and Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[10/9/2024 8:12:22 PM] Farm Game #267 - Milos Kelemen from Cleveland Monsters has scored a Hat Trick!
[10/9/2024 8:12:22 PM] Farm Game #267 - Mikael Pyyhtia from Cleveland Monsters has scored a Hat Trick!
[10/8/2024 8:17:01 PM] Columbus Blue Jackets are expected to be under the minimum salary cap by $18,661,274!
[10/8/2024 8:16:23 PM] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[10/5/2024 9:13:51 PM] Columbus Blue Jackets are expected to be under the minimum salary cap by $18,661,274!
[10/5/2024 9:13:38 PM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[10/4/2024 9:13:00 PM] Columbus Blue Jackets are expected to be under the minimum salary cap by $18,661,274!
[10/4/2024 9:12:37 PM] Both Columbus Blue Jackets and Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[10/2/2024 10:36:09 PM] Columbus Blue Jackets are expected to be under the minimum salary cap by $18,661,274!
[10/2/2024 10:35:55 PM] Both Columbus Blue Jackets and Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[10/1/2024 7:29:25 PM] Columbus Blue Jackets are expected to be under the minimum salary cap by $18,661,274!
[9/29/2024 7:53:36 PM] Columbus Blue Jackets are expected to be under the minimum salary cap by $18,661,274!
[9/29/2024 7:53:29 PM] Both Columbus Blue Jackets and Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[9/29/2024 7:53:28 PM] Farm Game #202 - Johan Sodergran from Cleveland Monsters has scored a Hat Trick!
[9/28/2024 10:10:16 PM] Columbus Blue Jackets are expected to be under the minimum salary cap by $18,661,274!
[9/28/2024 10:10:09 PM] Both Columbus Blue Jackets and Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[9/27/2024 9:26:12 PM] Columbus Blue Jackets are expected to be under the minimum salary cap by $18,661,274!

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: 15 \| W: 11 \| L: 3 \| OTL: 1 \| P: 23 GF: 41 \| GA: 34 \| PP%: 22.58% \| PK%: 82.05% DG: \| Morale : 60 \| Moyenne d’équipe : 72 Prochains matchs #253 vs New York Rangers