Canadian Hockey League

EvilSharks
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Formation
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Stats Équipe
Calendrier
Charte
Carrière

Centre de jeu
	Predators 24-12-2, 50pts	5	FINAL	7	BlueJackets 30-8-3, 63pts

Team Stats
W1	Streak	W4
13-5-1	Home Record	12-5-3
11-7-1	Away Record	18-3-0
6-3-1	Last 10 Games	8-1-1
4.32	Goals Per Game	3.90
3.63	Goals Against Per Game	2.83
21.83%	Power Play Percentage	16.98%
78.57%	Penalty Kill Percentage	85.84%

BlueJackets
30-8-3, 63pts

FINAL

Lightning
13-22-5, 31pts

Team Stats
W4	Streak	L3
12-5-3	Home Record	6-10-4
18-3-0	Away Record	7-12-1
8-1-1	Last 10 Games	3-7-0
3.90	Goals Per Game	2.80
2.83	Goals Against Per Game	3.88
16.98%	Power Play Percentage	19.42%
85.84%	Penalty Kill Percentage	78.35%

BlueJackets
30-8-3, 63pts

Jour 88

Panthers
25-15-2, 52pts

Stats Équipe
W4	Séquence	L2
12-5-3	Fiche domicile	13-8-1
18-3-0	Fiche visiteur	12-7-1
8-1-1	10 derniers matchs	5-4-1
3.90	Buts par match	3.40
2.83	Buts contre par match	2.86
16.98%	Pourcentage en avantage numérique	17.09%
85.84%	Pourcentage en désavantage numérique	80.34%

BlueJackets
30-8-3, 63pts

Jour 89

Hurricanes
34-7-0, 68pts

Stats Équipe
W4	Séquence	L1
12-5-3	Fiche domicile	16-3-0
18-3-0	Fiche visiteur	18-4-0
8-1-1	10 derniers matchs	8-2-0
3.90	Buts par match	4.22
2.83	Buts contre par match	2.41
16.98%	Pourcentage en avantage numérique	20.55%
85.84%	Pourcentage en désavantage numérique	84.46%

Senators
15-17-7, 37pts

Jour 93

BlueJackets
30-8-3, 63pts

Stats Équipe
W1	Séquence	W4
7-5-5	Fiche domicile	12-5-3
8-12-2	Fiche visiteur	18-3-0
4-4-2	10 derniers matchs	8-1-1
2.92	Buts par match	3.90
3.56	Buts contre par match	2.83
22.09%	Pourcentage en avantage numérique	16.98%
79.70%	Pourcentage en désavantage numérique	85.84%

Meneurs d'équipe
	Buts Travis Konecny 23	Passes Matt Duchene 36

	Points Matt Duchene 52	Plus/Moins Travis Konecny 23

	Victoires Laurent Brossoit 20	Pourcentage d’arrêts Laurent Brossoit 0.911

Stats Équipe
Buts pour 160 3.90 GFG	Tirs pour 1359 33.15 Avg	Pourcentage en avantage numérique 17.0% 36 GF	Début de zone offensive 42.1%
Buts contre 116 2.83 GAA	Tirs contre 1167 28.46 Avg	Pourcentage en désavantage numérique 85.8% 31 GA	Début de la zone défensive 39.4%

Blessure/Suspension
	Jordan Eberle est dehors pour 1 mois à cause de Sprained Left Ankle Injury.
	Drew Doughty est dehors pour 6 jours à cause de Sore Left Knee Injury.

Information d’équipe
	Directeur général	Jonathan Beaulieu
	Entraîneur	Travis Green
	Division	Metropolitan
	Conférence	Eastern
	Capitaine
	Assistant #1
	Assistant #2
Uniformes

Informations de l’aréna
	Nom	Blue Ice Arena
	Capacité	23,000
	Assistance	19,583
	Billets de saison	9,200
Information formation
	Équipe Pro	21
	Équipe Mineure	24
	Limite contact	45 / 50
	Espoirs	8
Plafond salarial
	Cap Salarial de la Saison estimé	82,172,412$
	Plafond salarial disponible	7,827,588$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	19
Finance
	Revenu annuel à ce jour	37,042,860$
	Dépenses annuelles à ce jour	42,471,896$
	Revenus de la saison estimés	38,895,003$
	Dépenses de la saison estimées	40,700,520$
	Compte bancaire actuel	145,501,261$
	Compte bancaire projeté	142,568,949$
Historique d'équipe
	Saison actuelle	30-8-3 (63PTS)
	Historique	965-564-159 (0.572%)
	Apparitions séries éliminatoires	14
	Historique séries éliminatoires (W-L)	94-81
	Stanley Cup	1

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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

#	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	Jack Eichel			X		98.00	47	52	88	96	68	89	96	95	81	99	80	85	72	80	85	50	63	83	0	29	1	1$
2	Alexander Ovechkin		X			99.00	80	61	86	91	86	84	87	91	40	77	99	64	70	99	92	0	64	80	0	40	2	9,000,000$
3	Matt Duchene	X				100.00	48	50	87	94	65	83	99	86	87	92	80	65	81	90	87	25	65	78	0	34	4	7,900,000$
4	Travis Konecny	X				100.00	67	47	77	94	53	89	99	83	74	92	74	76	59	78	84	55	65	78	0	28	6	7,500,000$
5	Valeri Nichushkin		X			100.00	70	55	86	85	74	87	72	77	40	65	90	74	90	82	85	45	48	74	0	30	3	7,000,000$
6	Pius Suter	X				100.00	57	42	86	87	49	84	98	68	78	61	75	85	73	80	82	50	65	72	0	29	3	4,000,000$
7	Joel Armia			X		100.00	65	55	86	77	75	79	98	60	40	58	61	81	54	86	83	35	62	69	0	32	4	2,500,000$
8	Josh Anderson		X			100.00	91	63	68	76	80	79	98	59	40	52	65	76	73	84	82	40	65	69	0	31	3	5,000,000$
9	Gustav Nyquist		X			100.00	53	42	86	83	49	83	97	60	40	58	61	76	78	94	89	15	65	68	0	36	1	3,000,000$
10	Nico Sturm	X				100.00	80	60	84	75	72	72	85	54	94	49	59	77	40	82	77	45	65	65	0	30	6	1,500,000$
11	John Beecher			X		100.00	66	56	83	75	77	74	96	51	87	48	53	74	40	70	72	75	65	63	0	24	1	925,000$
12	Dougie Hamilton				X	99.00	67	62	81	81	88	83	87	74	40	80	67	75	93	86	85	35	65	75	0	32	1	6,000,000$
13	Matt Roy				X	100.00	79	56	83	78	71	83	90	60	40	65	55	78	40	82	83	45	66	72	0	30	4	4,000,000$
14	Josh Manson				X	100.00	91	56	78	76	76	80	76	58	40	64	53	73	40	90	85	25	65	71	0	34	2	3,975,000$
15	Nick Jensen				X	100.00	58	47	88	80	59	84	92	58	40	61	55	81	40	92	88	20	65	71	0	35	5	3,900,000$
16	Michael Kesselring				X	100.00	65	69	68	76	79	79	99	61	40	62	61	70	40	72	76	70	67	70	0	25	5	3,500,000$
Rayé
1	Jordan Eberle			X		62.01	47	42	83	88	49	82	72	70	40	73	68	73	73	92	87	20	36	69	0	35	3	5,100,000$
2	Drew Doughty				X	89.25	60	52	77	85	68	90	64	71	40	76	66	79	60	94	92	15	46	74	0	36	2	8,000,000$
Équipe Mineure
1	Nicklas Backstrom	X				100.00	54	50	83	83	64	60	50	67	85	69	65	59	75	98	79	5	24	65	0	38	2	775,000$
2	Trevor Lewis	X				100.00	79	51	83	76	66	72	84	53	82	48	58	60	69	98	85	5	23	63	0	38	3	575,000$
3	Tomas Tatar		X			100.00	58	40	85	81	44	73	94	54	40	51	58	61	71	92	83	20	27	62	0	35	3	575,000$
4	Vinni Lettieri	X				100.00	94	42	85	79	49	77	61	53	40	46	59	70	40	82	80	45	27	62	0	30	3	575,000$
5	Sasha Pastujov			X		100.00	53	49	84	85	56	60	50	68	40	70	62	56	40	66	63	85	33	62	0	22	2	925,000$
6	Joey Anderson			X		100.00	56	50	90	75	65	75	55	47	40	45	50	84	40	76	76	60	27	60	0	27	1	1,500,000$
7	David Gustafsson	X				100.00	52	55	86	75	63	69	68	52	85	49	55	68	40	72	71	70	30	59	0	25	3	1,500,000$
8	Michael Pezzetta		X			100.00	99	70	71	75	73	64	60	45	40	40	50	66	73	76	70	60	28	58	0	27	1	1,100,000$
9	Samuel Fagemo		X			100.00	66	52	80	77	61	76	66	53	40	41	65	50	90	72	74	70	25	58	0	25	1	1,200,000$
10	Cedric Pare		X			100.00	65	55	75	75	70	68	58	43	40	39	47	70	40	74	71	65	33	56	0	26	2	575,000$
11	Arnaud Durandeau		X			100.00	57	59	77	75	54	60	50	46	40	51	40	57	40	74	67	65	19	53	0	26	2	575,000$
12	Jacob MacDonald				X	100.00	68	55	75	86	65	67	62	71	40	51	70	70	40	86	77	35	43	68	0	32	2	2,000,000$
13	Nick DeSimone				X	100.00	56	49	90	79	62	76	57	58	40	61	56	69	40	84	80	40	27	65	0	31	1	750,000$
14	Yan Kuznetsov				X	100.00	75	73	79	75	81	76	71	39	40	37	40	70	40	68	72	80	28	63	0	23	1	1,100,000$
15	William Lagesson				X	100.00	85	63	74	75	72	55	50	44	40	41	46	70	40	80	68	50	25	62	0	29	3	575,000$
16	Chad Ruhwedel				X	100.00	81	45	73	75	50	55	50	41	40	45	37	70	40	92	74	20	27	60	0	35	3	575,000$
17	Dylan Coghlan				X	100.00	55	52	78	82	60	55	50	64	40	56	70	50	40	76	66	60	31	60	0	27	2	575,000$
18	Jakub Zboril				X	100.00	73	50	77	75	58	55	50	37	40	43	30	53	40	78	67	55	33	55	0	28	2	575,000$
19	Christoffer Sedoff				X	100.00	59	54	80	75	70	65	60	36	40	33	38	50	40	68	67	80	24	55	0	23	2	575,000$
20	Max Wanner				X	100.00	51	43	71	75	59	55	50	31	40	29	33	65	40	66	61	85	20	54	0	22	2	575,000$
21	Riley McKay		X			100.00	67	74	25	75	57	60	50	34	40	31	37	59	40	74	67	65	20	50	0	26	2	575,000$
22	Mattias Norlinder				X	100.00	67	56	80	75	49	55	50	33	40	31	35	50	40	72	64	70	20	52	0	25	1	1,100,000$

	MOYENNE D’ÉQUIPE					98.68	67	54	79	80	65	73	73	58	50	56	58	68	54	81	77	46	42	65

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Laurent Brossoit	98.00	93	50	60	92	83	85	84	87	87	84	40	86	86	35	53	81	0	32	1	2,200,000$
2	Joseph Woll	100.00	83	81	86	93	80	83	81	77	78	81	92	76	80	60	69	80	0	27	2	3,750,000$
Rayé
1	Anton Forsberg	100.00	83	67	67	91	78	76	77	75	78	78	90	88	82	30	21	77	0	33	5	1,250,000$
Équipe Mineure
1	Remi Poirier	100.00	75	58	60	90	56	56	54	56	55	59	87	70	63	75	23	61	0	24	1	925,000$
2	Evan Cormier	100.00	75	50	60	92	50	50	50	50	50	50	87	78	64	55	37	58	0	28	3	575,000$

	MOYENNE D’ÉQUIPE	99.60	82	61	67	92	69	70	69	69	70	70	79	80	75	51	41	71

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Travis Green	96	87	82	80	90	75	60	CAN	55	5	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	HT	P/20	PSS	FW	FL	FT	S1	S2	S3
1	Matt Duchene	BlueJackets	C	41	16	36	52	16	2	0	14	101	126	32	97	12.70%	8	843	20.58	3	10	13	29	171	0	0	0	2	64	1	1	55.01%	1078	0	1.23	0	0	0	0	3	4	4
2	Travis Konecny	BlueJackets	C	41	23	28	51	23	34	0	72	101	143	37	106	16.08%	9	768	18.74	5	9	14	43	171	0	0	0	0	52	2	2	47.00%	949	3	1.33	1	0	0	0	8	2	0
3	Jack Eichel	BlueJackets	RW	40	20	29	49	19	2	0	8	107	181	50	110	11.05%	11	920	23.02	4	6	10	54	177	0	0	0	6	124	5	0	51.75%	286	1	1.06	1	0	0	0	1	3	4
4	Alexander Ovechkin	BlueJackets	LW	41	21	22	43	21	57	5	128	43	162	50	120	12.96%	3	906	22.12	7	8	15	42	178	0	0	0	5	102	6	0	34.52%	84	1	0.95	1	0	1	0	3	6	3
5	Drew Doughty	BlueJackets	D	39	4	31	35	20	24	0	53	38	54	18	53	7.41%	58	903	23.18	1	8	9	34	150	1	2	3	3	148	0	2	0.00%	0	0	0.77	0	0	0	0	4	2	1
6	Valeri Nichushkin	BlueJackets	LW	39	19	15	34	13	56	10	78	33	125	34	80	15.20%	7	660	16.94	4	5	9	34	154	0	0	0	0	15	2	1	32.00%	50	0	1.03	0	0	1	1	1	2	8
7	Dougie Hamilton	BlueJackets	D	41	1	30	31	16	58	10	56	36	54	11	31	1.85%	50	969	23.64	0	6	6	32	181	0	1	1	1	162	0	0	0.00%	0	0	0.64	0	1	1	0	0	2	2
8	Pius Suter	BlueJackets	C	41	13	13	26	3	4	0	11	84	115	43	117	11.30%	13	609	14.86	0	5	5	27	88	1	1	2	5	114	1	0	48.24%	653	1	0.85	0	0	0	0	2	1	1
9	Jordan Eberle	BlueJackets	RW	35	10	10	20	17	2	0	8	51	81	19	62	12.35%	4	591	16.91	4	1	5	33	150	0	0	0	0	0	1	1	25.00%	40	0	0.68	0	0	0	0	0	3	0
10	Nick Jensen	BlueJackets	D	41	4	16	20	19	6	0	21	32	40	13	36	10.00%	60	784	19.14	1	2	3	17	65	0	0	0	1	173	1	1	0.00%	0	0	0.51	0	0	0	0	1	2	2
11	Joel Armia	BlueJackets	RW	41	11	8	19	0	13	5	24	34	72	15	43	15.28%	6	637	15.54	6	0	6	20	119	0	2	2	2	130	3	1	35.71%	56	0	0.60	0	0	1	0	0	2	0
12	Matt Roy	BlueJackets	D	41	1	13	14	14	71	5	114	35	33	15	18	3.03%	47	838	20.44	0	4	4	11	78	0	0	0	0	149	1	0	0.00%	0	0	0.33	0	0	0	1	0	0	0
13	Michael Kesselring	BlueJackets	D	41	2	10	12	10	42	10	50	17	17	7	10	11.76%	25	540	13.18	0	0	0	1	0	0	0	0	0	45	0	0	0.00%	0	0	0.44	0	0	0	2	0	0	1
14	Josh Manson	BlueJackets	D	41	3	7	10	0	82	0	126	16	20	8	14	15.00%	34	646	15.77	1	0	1	3	19	0	0	0	0	43	2	0	0.00%	0	0	0.31	0	0	0	0	0	1	0
15	Josh Anderson	BlueJackets	LW	41	4	5	9	2	40	0	72	27	52	17	31	7.69%	2	451	11.02	0	0	0	1	14	1	0	1	2	51	1	0	34.62%	26	0	0.40	0	0	0	0	0	0	1
16	Gustav Nyquist	BlueJackets	LW	41	4	4	8	0	2	0	3	21	32	9	28	12.50%	3	248	6.06	0	0	0	0	0	0	0	0	0	13	3	0	26.92%	26	0	0.64	0	0	0	0	1	1	0
17	John Beecher	BlueJackets	RW	41	1	6	7	-2	8	0	9	8	23	6	19	4.35%	1	269	6.58	0	0	0	0	6	0	0	0	0	0	0	0	50.00%	22	0	0.52	0	0	0	0	0	0	0
18	Nico Sturm	BlueJackets	C	41	3	2	5	-2	14	0	27	34	26	8	10	11.54%	3	276	6.74	0	0	0	0	0	0	0	0	0	56	1	0	58.19%	299	0	0.36	0	0	0	0	1	0	1
19	Jacob MacDonald	EvilSharks (Cbj)	D	10	0	0	0	0	4	0	7	2	1	0	1	0.00%	3	54	5.45	0	0	0	0	2	0	0	0	0	10	0	0	0.00%	0	0	0.00	0	0	0	0	0	0	0
20	Sasha Pastujov	EvilSharks (Cbj)	RW	1	0	0	0	-1	0	0	0	3	2	0	1	0.00%	0	11	11.98	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				738	160	285	445	188	521	45	881	823	1359	392	987	11.77%	347	11934	16.17	36	64	100	381	1730	3	6	9	27	1460	30	9	49.82%	3569	6	0.75	3	1	4	4	25	31	28

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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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	A	PS %	PSA	ST	BG	S1	S3
1	Laurent Brossoit	BlueJackets	27	20	4	0	0.911	2.47	1558	2	64	723	3	0.000	0	26	12	1	1
2	Joseph Woll	BlueJackets	18	10	5	2	0.887	3.28	952	0	52	461	1	0.000	0	16	25	0	0
3	Anton Forsberg	BlueJackets	2	0	0	1	0.900	2.90	62	0	3	30	0	0.667	3	0	14	0	0
Statistiques d’équipe totales ou en moyenne			47	30	9	3	0.902	2.78	2573	2	119	1214	4	0.667	3	42	51	1	1

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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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	2039	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	2040	2041	2042	2043	2044	2045	Link
Alexander Ovechkin	BlueJackets	LW	40	1985-09-17	No	238 Lbs	6 ft3	No	No	Yes	2	Pro Only	9,000,000$	9,000,000$	4,702,247$	No	9,000,000$	UFA					Lien / Lien NHL
Anton Forsberg	BlueJackets	G	33	1992-11-27	No	176 Lbs	6 ft2	Yes	No	No	5	Pro & Farm	1,250,000$	1,250,000$	653,090$	No	1,250,000$	1,250,000$	1,250,000$	1,250,000$	UFA		Lien / Lien NHL
Dougie Hamilton	BlueJackets	D	32	1993-06-17	No	230 Lbs	6 ft6	No	No	Yes	1	Pro Only	6,000,000$	6,000,000$	3,134,831$	No	UFA						Lien / Lien NHL
Drew Doughty (sur la masse salariale)	BlueJackets	D	36	1989-12-08	No	210 Lbs	6 ft1	No	No	Yes	2	Pro Only	8,000,000$	8,000,000$	4,179,775$	No	8,000,000$	UFA					Lien / Lien NHL
Gustav Nyquist	BlueJackets	LW	36	1989-09-01	No	180 Lbs	5 ft11	No	No	Yes	1	Pro & Farm	3,000,000$	3,000,000$	1,567,416$	No	UFA						Lien / Lien NHL
Jack Eichel	BlueJackets	RW	29	1996-10-28	No	206 Lbs	6 ft2	Yes	No	Yes	1	Pro Only	1$	1$	1$	No	UFA						Lien / Lien NHL
Joel Armia	BlueJackets	RW	32	1993-05-31	No	216 Lbs	6 ft3	No	No	Yes	4	Pro & Farm	2,500,000$	2,500,000$	1,306,180$	No	2,500,000$	2,500,000$	2,500,000$	UFA			Lien / Lien NHL
John Beecher	BlueJackets	RW	24	2001-04-05	No	220 Lbs	6 ft3	No	No	No	1	Pro & Farm	925,000$	925,000$	483,287$	No	RFA						Lien / Lien NHL
Jordan Eberle (sur la masse salariale)	BlueJackets	RW	35	1990-05-15	No	180 Lbs	5 ft11	No	No	Yes	3	Pro Only	5,100,000$	5,100,000$	2,664,607$	No	5,100,000$	5,100,000$	UFA				Lien / Lien NHL
Joseph Woll	BlueJackets	G	27	1998-07-12	No	203 Lbs	6 ft4	No	No	Yes	2	Pro & Farm	3,750,000$	3,750,000$	1,959,270$	No	3,750,000$	UFA					Lien / Lien NHL
Josh Anderson	BlueJackets	LW	31	1994-05-07	No	226 Lbs	6 ft3	No	No	Yes	3	Pro Only	5,000,000$	5,000,000$	2,612,360$	No	5,000,000$	5,000,000$	UFA				Lien / Lien NHL
Josh Manson	BlueJackets	D	34	1991-10-07	No	218 Lbs	6 ft3	No	No	Yes	2	Pro & Farm	3,975,000$	3,975,000$	2,076,826$	No	3,975,000$	UFA					Lien / Lien NHL
Laurent Brossoit	BlueJackets	G	32	1993-03-23	No	200 Lbs	6 ft3	No	No	Yes	1	Pro & Farm	2,200,000$	2,200,000$	1,149,438$	No	UFA						Lien / Lien NHL
Matt Duchene	BlueJackets	C	34	1991-01-16	No	212 Lbs	5 ft11	No	No	Yes	4	Pro Only	7,900,000$	7,900,000$	4,127,528$	No	7,900,000$	7,900,000$	7,900,000$	UFA			Lien / Lien NHL
Matt Roy	BlueJackets	D	30	1995-03-01	No	212 Lbs	6 ft2	No	No	Yes	4	Pro & Farm	4,000,000$	4,000,000$	2,089,888$	No	4,000,000$	4,000,000$	4,000,000$	UFA			Lien / Lien NHL
Michael Kesselring	BlueJackets	D	25	2000-01-13	No	215 Lbs	6 ft5	No	No	Yes	5	Pro & Farm	3,500,000$	3,500,000$	1,828,652$	No	3,500,000$	3,500,000$	3,500,000$	3,500,000$	UFA		Lien / Lien NHL
Nick Jensen	BlueJackets	D	35	1990-09-21	No	196 Lbs	6 ft0	Yes	No	Yes	5	Pro & Farm	3,900,000$	3,900,000$	2,037,640$	No	3,900,000$	3,900,000$	3,900,000$	3,900,000$	UFA		Lien / Lien NHL
Nico Sturm	BlueJackets	C	30	1995-05-03	No	209 Lbs	6 ft3	Yes	No	No	6	Pro & Farm	1,500,000$	1,500,000$	783,708$	No	1,500,000$	1,500,000$	1,500,000$	1,500,000$	1,500,000$	UFA	Lien / Lien NHL
Pius Suter	BlueJackets	C	29	1996-05-24	No	179 Lbs	5 ft11	No	No	Yes	3	Pro & Farm	4,000,000$	4,000,000$	2,089,888$	No	4,000,000$	4,000,000$	UFA				Lien / Lien NHL
Travis Konecny	BlueJackets	C	28	1997-03-11	No	192 Lbs	5 ft10	No	No	Yes	6	Pro Only	7,500,000$	7,500,000$	3,918,539$	No	7,500,000$	7,500,000$	7,500,000$	7,500,000$	7,500,000$	UFA	Lien / Lien NHL
Valeri Nichushkin	BlueJackets	LW	30	1995-03-04	No	210 Lbs	6 ft4	No	No	Yes	3	Pro Only	7,000,000$	7,000,000$	3,657,303$	No	7,000,000$	7,000,000$	UFA				Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	31.52	206 Lbs	6 ft2	3.05	4,285,714$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
90,000,001$	77,875,000$	53,150,000$	32,050,000$	17,650,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Alexander Ovechkin	Matt Duchene	Jack Eichel	40	1	2	2
2	Valeri Nichushkin	Travis Konecny		30	1	2	2
3	Josh Anderson	Pius Suter	Joel Armia	20	1	2	2
4	Gustav Nyquist	Nico Sturm	John Beecher	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Dougie Hamilton		40	1	2	2
2	Matt Roy	Josh Manson	30	1	2	2
3	Nick Jensen	Michael Kesselring	20	1	2	2
4	Dougie Hamilton		10	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Alexander Ovechkin	Travis Konecny		60	1	2	2
2	Valeri Nichushkin	Matt Duchene	Joel Armia	40	1	2	2

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jack Eichel	Dougie Hamilton	60	1	2	2
2		Pius Suter	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Pius Suter	Joel Armia	60	1	2	2
2	Nico Sturm	Josh Anderson	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Matt Roy	Nick Jensen	60	1	2	2
2	Dougie Hamilton		40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Jack Eichel	60	1	2	2	Matt Roy	Nick Jensen	60	1	2	2
2	Pius Suter	40	1	2	2	Dougie Hamilton		40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Travis Konecny	Valeri Nichushkin	60	1	2	2
2	Pius Suter		40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Dougie Hamilton		60	1	2	2
2	Matt Roy	Nick Jensen	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Alexander Ovechkin	Matt Duchene	Jack Eichel	Dougie Hamilton

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Alexander Ovechkin	Travis Konecny	Jack Eichel	Dougie Hamilton

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Pius Suter, Josh Anderson, Joel Armia	Pius Suter, Josh Anderson	Joel Armia

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Josh Manson, Michael Kesselring, Matt Roy	Josh Manson	Michael Kesselring, Matt Roy

Tirs de pénalité
Jack Eichel, Alexander Ovechkin, Travis Konecny, Matt Duchene, Valeri Nichushkin

Gardien
#1 : Laurent Brossoit, #2 : Joseph Woll

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

Lignes de défense personnalisées en prolongation
, , , ,

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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

	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	Avalanche	1	1	0	0	0	0	0	0	6	4	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	4	2	2	1.000	6	9	15	0	0	2	3	1	0	32	12	10	10	0	34	8	14	22	5	0	0.00%	7	2	71.43%	0	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	26	17	21	7	12	6
2	Blackhawks	1	0	0	0	1	0	0	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	6	5	1	2	1.000	6	10	16	0	0	1	1	3	1	38	15	9	13	1	33	10	10	17	9	3	33.33%	5	1	80.00%	0	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	27	19	21	6	12	6
3	Blues	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	6	9	0	0	0	3	0	0	31	7	11	13	0	22	6	19	23	6	1	16.67%	6	0	100.00%	0	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	21	14	25	8	12	6
4	Bruins	3	0	1	0	1	1	0	0	5	6	-1	2	0	1	0	0	1	0	0	2	4	-2	1	0	0	0	1	0	0	0	3	2	1	3	0.500	5	9	14	0	0	0	1	3	1	79	24	24	30	1	84	25	36	60	11	1	9.09%	17	3	82.35%	0	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	66	45	77	22	36	17
5	Canadiens	3	1	1	0	0	0	0	1	14	15	-1	2	0	1	0	0	0	0	1	10	14	-4	1	1	0	0	0	0	0	0	4	1	3	3	0.500	14	27	41	0	0	7	2	5	0	110	35	33	41	4	81	28	42	61	12	4	33.33%	20	6	70.00%	0	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	72	51	74	21	38	18
6	Canucks	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	2	3	2	1.000	5	8	13	0	0	3	0	2	0	45	11	12	22	0	32	6	10	23	6	1	16.67%	4	0	100.00%	0	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	25	18	22	6	11	5
7	Capitals	2	2	0	0	0	0	0	0	11	3	8	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	6	1	5	4	1.000	11	20	31	0	0	6	1	4	0	80	18	35	27	0	78	27	18	46	7	0	0.00%	9	0	100.00%	1	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	56	42	38	12	24	12
8	Devils	2	0	1	0	1	0	0	0	5	5	0	1	0	1	0	0	0	0	0	2	3	-1	1	0	0	0	1	0	0	0	3	2	1	2	0.500	5	9	14	0	0	0	3	1	1	57	15	17	24	1	62	20	38	61	9	2	22.22%	13	1	92.31%	0	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	42	28	53	15	25	11
9	Flames	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	0	1	0	0	37	19	10	8	0	19	7	10	24	10	0	0.00%	4	0	100.00%	0	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	26	18	22	7	11	5
10	Flyers	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	1	1	3	0	48	14	11	23	0	21	3	4	18	8	1	12.50%	2	0	100.00%	0	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	29	22	20	6	10	5
11	GoldenKnights	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	2	3	2	1.000	5	10	15	0	0	4	0	1	0	21	11	6	4	0	21	7	6	17	2	0	0.00%	3	0	100.00%	0	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	25	18	21	6	13	7
12	Hurricanes	1	0	1	0	0	0	0	0	1	7	-6	1	0	1	0	0	0	0	0	1	7	-6	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	0	1	0	0	18	6	9	3	0	47	16	24	24	1	0	0.00%	12	2	83.33%	0	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	18	11	29	7	11	4
13	Islanders	3	2	0	0	1	0	0	0	13	7	6	2	2	0	0	0	0	0	0	9	4	5	1	0	0	0	1	0	0	0	4	3	1	6	1.000	13	22	35	0	0	6	3	3	1	91	30	30	29	2	87	18	54	69	15	2	13.33%	16	2	87.50%	0	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	72	50	74	22	36	17
14	Jets	2	1	0	0	1	0	0	0	9	5	4	1	1	0	0	0	0	0	0	5	2	3	1	0	0	0	1	0	0	0	4	3	1	4	1.000	9	16	25	0	0	5	2	1	1	59	27	16	15	1	54	16	16	37	7	3	42.86%	7	2	71.43%	0	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	43	30	54	14	24	11
15	Lightning	2	2	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	3	2	1	4	1.000	7	14	21	0	0	2	1	4	0	66	16	25	25	0	53	20	21	32	12	2	16.67%	8	1	87.50%	1	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	53	39	42	13	24	12
16	Mammoth	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	5	8	0	0	1	1	1	0	38	11	13	14	0	15	4	2	28	5	0	0.00%	1	0	100.00%	0	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	29	21	17	5	12	7
17	Oilers	2	1	1	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	4	2	2	2	0.500	5	8	13	0	0	3	0	2	0	47	19	14	14	0	60	24	41	43	9	1	11.11%	13	0	100.00%	1	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	45	29	51	14	23	11
18	Penguins	3	2	0	0	0	1	0	0	11	8	3	2	1	0	0	0	1	0	0	6	5	1	1	1	0	0	0	0	0	0	5	3	2	5	0.833	11	20	31	0	0	4	4	3	0	102	30	37	32	3	65	18	42	66	18	2	11.11%	21	0	100.00%	0	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	75	52	70	23	37	18
19	Predators	2	1	1	0	0	0	0	0	10	10	0	1	1	0	0	0	0	0	0	7	5	2	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	10	19	29	0	0	0	7	3	0	62	21	28	13	0	71	21	25	37	13	4	30.77%	9	2	77.78%	0	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	50	37	46	14	23	11
20	Rangers	2	1	1	0	0	0	0	0	8	7	1	1	1	0	0	0	0	0	0	6	3	3	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	8	13	21	0	0	1	4	3	0	56	16	22	18	0	79	14	26	43	8	1	12.50%	13	2	84.62%	0	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	47	31	44	15	27	13
21	Sabres	2	1	0	0	1	0	0	0	10	6	4	1	0	0	0	1	0	0	0	5	4	1	1	1	0	0	0	0	0	0	5	2	3	4	1.000	10	18	28	0	0	6	1	2	1	79	31	21	26	1	52	14	29	39	12	3	25.00%	12	3	75.00%	0	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	48	35	45	14	26	12
22	Senators	2	2	0	0	0	0	0	0	8	3	5	0	0	0	0	0	0	0	0	0	0	0	2	2	0	0	0	0	0	0	8	3	5	4	1.000	8	14	22	0	0	5	1	2	0	93	41	20	32	0	40	21	8	48	14	3	21.43%	4	1	75.00%	0	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	52	37	42	14	24	12
23	Sharks	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	7	12	0	0	2	2	1	0	47	10	15	22	0	31	7	12	21	9	1	11.11%	5	1	80.00%	0	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	28	20	20	6	11	6
24	Wild	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	8	12	0	0	2	1	1	0	23	13	4	6	0	26	7	16	22	4	1	25.00%	8	2	75.00%	0	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	23	16	23	7	12	6
	Total	41	24	8	0	6	2	0	1	160	116	44	20	11	5	0	1	2	0	1	76	64	12	21	13	3	0	5	0	0	0	84	52	32	63	0.768	160	285	445	0	0	61	44	49	6	1359	452	432	464	14	1167	347	523	881	212	36	16.98%	219	31	85.84%	3	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	1008	711	962	295	505	249
	_Since Last GM Reset	41	24	8	0	6	2	0	1	160	116	44	20	11	5	0	1	2	0	1	76	64	12	21	13	3	0	5	0	0	0	84	52	32	63	0.768	160	285	445	0	0	61	44	49	6	1359	452	432	464	14	1167	347	523	881	212	36	16.98%	219	31	85.84%	3	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	1008	711	962	295	505	249
	_Vs Conference	26	14	5	0	4	2	0	1	98	73	25	15	7	4	0	1	2	0	1	55	50	5	11	7	1	0	3	0	0	0	43	23	20	39	0.750	98	177	275	0	0	38	23	33	4	879	276	284	310	12	749	224	342	567	127	21	16.54%	147	21	85.71%	2	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	635	447	615	189	323	157
	_Vs Division	14	8	3	0	2	1	0	0	54	40	14	9	6	2	0	0	1	0	0	34	27	7	5	2	1	0	2	0	0	0	20	13	7	21	0.750	54	95	149	0	0	18	17	17	2	452	129	161	156	6	439	116	206	327	66	8	12.12%	86	7	91.86%	1	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	341	239	332	103	173	83

			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
41	63	W4	160	285	445	1359	1167	347	523	881	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	24	8	6	2	0	1	160	116

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
20	11	5	1	2	0	1	76	64

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
21	13	3	5	0	0	0	84	52

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
6	1	2	0	0	1

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
212	36	16.98%	219	31	85.84%	3

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
452	432	464	14	61	44	49	6

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
776	1495	51.91%	676	1397	48.39%	326	658	49.54%

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
1008	711	962	295	505	249

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	10	BlueJackets	3	Senators	2	AW			Sommaire du match
2	18	BlueJackets	2	Rangers	4	AL			Sommaire du match
5	36	Bruins	2	BlueJackets	1	BL	X		Sommaire du match
7	53	BlueJackets	5	Sabres	2	AW			Sommaire du match
8	63	BlueJackets	3	Predators	5	AL			Sommaire du match
10	78	Canadiens	7	BlueJackets	4	BL			Sommaire du match
12	89	Islanders	3	BlueJackets	5	BW			Sommaire du match
14	107	BlueJackets	5	Canucks	2	AW			Sommaire du match
17	129	BlueJackets	4	Oilers	2	AW			Sommaire du match
19	142	BlueJackets	1	Flames	3	AL			Sommaire du match
22	163	BlueJackets	3	Bruins	2	AW	X		Sommaire du match
23	174	Hurricanes	7	BlueJackets	1	BL			Sommaire du match
26	195	Bruins	2	BlueJackets	1	BL			Sommaire du match
27	205	BlueJackets	4	Islanders	3	AW	X		Sommaire du match
29	215	Penguins	4	BlueJackets	3	BL	X		Sommaire du match
31	237	BlueJackets	5	Penguins	3	AW			Sommaire du match
33	249	BlueJackets	3	Devils	2	AW	X		Sommaire du match
35	257	Jets	2	BlueJackets	5	BW			Sommaire du match
36	266	Oilers	3	BlueJackets	1	BL			Sommaire du match
38	284	Flyers	3	BlueJackets	5	BW			Sommaire du match
40	297	Penguins	1	BlueJackets	3	BW			Sommaire du match
43	318	Sharks	2	BlueJackets	5	BW			Sommaire du match
44	331	BlueJackets	5	Senators	1	AW			Sommaire du match
47	353	BlueJackets	4	Canadiens	1	AW			Sommaire du match
48	357	Lightning	1	BlueJackets	4	BW			Sommaire du match
50	371	BlueJackets	6	Blackhawks	5	AW	X		Sommaire du match
52	386	Islanders	1	BlueJackets	4	BW			Sommaire du match
54	400	Capitals	2	BlueJackets	5	BW			Sommaire du match
57	433	BlueJackets	5	GoldenKnights	2	AW			Sommaire du match
59	436	BlueJackets	3	Mammoth	1	AW			Sommaire du match
61	454	BlueJackets	6	Avalanche	4	AW			Sommaire du match
64	471	Blues	2	BlueJackets	3	BW			Sommaire du match
66	494	BlueJackets	4	Jets	3	AW	X		Sommaire du match
68	498	Sabres	4	BlueJackets	5	BW	X		Sommaire du match
74	526	BlueJackets	4	Wild	2	AW			Sommaire du match
75	535	Canadiens	7	BlueJackets	6	BL	X	X	Sommaire du match
78	552	Devils	3	BlueJackets	2	BL			Sommaire du match
80	569	Rangers	3	BlueJackets	6	BW			Sommaire du match
81	585	BlueJackets	6	Capitals	1	AW			Sommaire du match
83	591	Predators	5	BlueJackets	7	BW			Sommaire du match
85	612	BlueJackets	3	Lightning	2	AW			Sommaire du match
88	629	BlueJackets	-	Panthers	-
89	639	BlueJackets	-	Hurricanes	-
93	664	Senators	-	BlueJackets	-
96	690	MapleLeafs	-	BlueJackets	-
97	698	BlueJackets	-	Rangers	-
98	709	BlueJackets	-	Devils	-
99	723	BlueJackets	-	Flyers	-
101	734	Devils	-	BlueJackets	-
104	756	GoldenKnights	-	BlueJackets	-
106	768	Ducks	-	BlueJackets	-
108	787	Kings	-	BlueJackets	-
110	801	Canucks	-	BlueJackets	-
113	822	Capitals	-	BlueJackets	-
115	838	BlueJackets	-	Flyers	-
117	848	Flames	-	BlueJackets	-
120	874	BlueJackets	-	Islanders	-
122	884	Wild	-	BlueJackets	-
125	906	BlueJackets	-	RedWings	-
127	922	BlueJackets	-	Penguins	-
128	931	MapleLeafs	-	BlueJackets	-
131	963	BlueJackets	-	MapleLeafs	-
133	971	BlueJackets	-	Hurricanes	-
135	988	Panthers	-	BlueJackets	-
138	1011	BlueJackets	-	Stars	-
140	1023	Rangers	-	BlueJackets	-
141	1036	BlueJackets	-	Capitals	-
144	1049	Stars	-	BlueJackets	-
146	1063	BlueJackets	-	Ducks	-
147	1069	BlueJackets	-	Kings	-
149	1090	BlueJackets	-	Sharks	-
151	1099	RedWings	-	BlueJackets	-
154	1116	Sabres	-	BlueJackets	-
156	1138	BlueJackets	-	Blues	-
158	1143	Mammoth	-	BlueJackets	-
161	1159	Blackhawks	-	BlueJackets	-
163	1174	Flyers	-	BlueJackets	-
168	1214	BlueJackets	-	Lightning	-
169	1219	BlueJackets	-	Panthers	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
171	1232	Avalanche	-	BlueJackets	-
175	1256	Hurricanes	-	BlueJackets	-
176	1262	BlueJackets	-	RedWings	-

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Alexander Ovechkin

AGE:40
SK:		91
EN:		84
DU:		87
PH:		91
PA:		77
SC:		99
DF:		64
Valeri Nichushkin

AGE:30
SK:		85
EN:		87
DU:		72
PH:		77
PA:		65
SC:		90
DF:		74
Josh Anderson

AGE:31
SK:		76
EN:		79
DU:		98
PH:		59
PA:		52
SC:		65
DF:		76
Gustav Nyquist

AGE:36
SK:		83
EN:		83
DU:		97
PH:		60
PA:		58
SC:		61
DF:		76
Tomas Tatar

AGE:35
SK:		81
EN:		73
DU:		94
PH:		54
PA:		51
SC:		58
DF:		61
Samuel Fagemo

AGE:25
SK:		77
EN:		76
DU:		66
PH:		53
PA:		41
SC:		65
DF:		50
Michael Pezzetta

AGE:27
SK:		75
EN:		64
DU:		60
PH:		45
PA:		40
SC:		50
DF:		66
Cedric Pare

AGE:26
SK:		75
EN:		68
DU:		58
PH:		43
PA:		39
SC:		47
DF:		70
Arnaud Durandeau

AGE:26
SK:		75
EN:		60
DU:		50
PH:		46
PA:		51
SC:		40
DF:		57
Riley McKay

AGE:26
SK:		75
EN:		60
DU:		50
PH:		34
PA:		31
SC:		37
DF:		59

Travis Konecny

AGE:28
SK:		94
EN:		89
DU:		99
PH:		83
PA:		92
SC:		74
DF:		76
Matt Duchene

AGE:34
SK:		94
EN:		83
DU:		99
PH:		86
PA:		92
SC:		80
DF:		65
Pius Suter

AGE:29
SK:		87
EN:		84
DU:		98
PH:		68
PA:		61
SC:		75
DF:		85
Nico Sturm

AGE:30
SK:		75
EN:		72
DU:		85
PH:		54
PA:		49
SC:		59
DF:		77
Nicklas Backstrom

AGE:38
SK:		83
EN:		60
DU:		50
PH:		67
PA:		69
SC:		65
DF:		59
Trevor Lewis

AGE:38
SK:		76
EN:		72
DU:		84
PH:		53
PA:		48
SC:		58
DF:		60
Vinni Lettieri

AGE:30
SK:		79
EN:		77
DU:		61
PH:		53
PA:		46
SC:		59
DF:		70
David Gustafsson

AGE:25
SK:		75
EN:		69
DU:		68
PH:		52
PA:		49
SC:		55
DF:		68

Jack Eichel

AGE:29
SK:		96
EN:		89
DU:		96
PH:		95
PA:		99
SC:		80
DF:		85
Joel Armia

AGE:32
SK:		77
EN:		79
DU:		98
PH:		60
PA:		58
SC:		61
DF:		81
Jordan Eberle

AGE:35
SK:		88
EN:		82
DU:		72
PH:		70
PA:		73
SC:		68
DF:		73
John Beecher

AGE:24
SK:		75
EN:		74
DU:		96
PH:		51
PA:		48
SC:		53
DF:		74
Sasha Pastujov

AGE:22
SK:		85
EN:		60
DU:		50
PH:		68
PA:		70
SC:		62
DF:		56
Joey Anderson

AGE:27
SK:		75
EN:		75
DU:		55
PH:		47
PA:		45
SC:		50
DF:		84

Défense #1

Défense #2

Gardien

Dougie Hamilton

AGE:32
SK:		81
EN:		83
DU:		87
PH:		74
PA:		80
SC:		67
DF:		75
Drew Doughty

AGE:36
SK:		85
EN:		90
DU:		64
PH:		71
PA:		76
SC:		66
DF:		79
Matt Roy

AGE:30
SK:		78
EN:		83
DU:		90
PH:		60
PA:		65
SC:		55
DF:		78
Josh Manson

AGE:34
SK:		76
EN:		80
DU:		76
PH:		58
PA:		64
SC:		53
DF:		73
Nick Jensen

AGE:35
SK:		80
EN:		84
DU:		92
PH:		58
PA:		61
SC:		55
DF:		81
Michael Kesselring

AGE:25
SK:		76
EN:		79
DU:		99
PH:		61
PA:		62
SC:		61
DF:		70
Jacob MacDonald

AGE:32
SK:		86
EN:		67
DU:		62
PH:		71
PA:		51
SC:		70
DF:		70
Nick DeSimone

AGE:31
SK:		79
EN:		76
DU:		57
PH:		58
PA:		61
SC:		56
DF:		69

Yan Kuznetsov

AGE:23
SK:		75
EN:		76
DU:		71
PH:		39
PA:		37
SC:		40
DF:		70
William Lagesson

AGE:29
SK:		75
EN:		55
DU:		50
PH:		44
PA:		41
SC:		46
DF:		70
Dylan Coghlan

AGE:27
SK:		82
EN:		55
DU:		50
PH:		64
PA:		56
SC:		70
DF:		50
Chad Ruhwedel

AGE:35
SK:		75
EN:		55
DU:		50
PH:		41
PA:		45
SC:		37
DF:		70
Christoffer Sedoff

AGE:23
SK:		75
EN:		65
DU:		60
PH:		36
PA:		33
SC:		38
DF:		50
Jakub Zboril

AGE:28
SK:		75
EN:		55
DU:		50
PH:		37
PA:		43
SC:		30
DF:		53
Max Wanner

AGE:22
SK:		75
EN:		55
DU:		50
PH:		31
PA:		29
SC:		33
DF:		65
Mattias Norlinder

AGE:25
SK:		75
EN:		55
DU:		50
PH:		33
PA:		31
SC:		35
DF:		50

Laurent Brossoit

AGE:32
SK:		93
AG:		83
RB:		85
SC:		84
HS:		87
RT:		87
DF:		84
Joseph Woll

AGE:27
SK:		83
AG:		80
RB:		83
SC:		81
HS:		77
RT:		78
DF:		81
Anton Forsberg

AGE:33
SK:		83
AG:		78
RB:		76
SC:		77
HS:		75
RT:		78
DF:		78
Remi Poirier

AGE:24
SK:		75
AG:		56
RB:		56
SC:		54
HS:		56
RT:		55
DF:		59
Evan Cormier

AGE:28
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50

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
Albin Eriksson	BlueJackets	2032	47
Andrei Svetlakov	BlueJackets	2031	210
Colby Ambrosio	BlueJackets	2034	147
John Fusco	BlueJackets	2034	217
Joni Jurmo	BlueJackets	2034	113
Matias Rajaniemi	BlueJackets	2034	211
Oliver Tarnstrom	BlueJackets	2034	126
Pavel Koltygin	BlueJackets	2031	120

Choix au repêchage

Choix au repêchage
Année	R1	R2	R3	R4	R5	R6	R7
2042

BlueJackets Leaders statistiques (saison régulière)

Afficher ou masquer des colonnes

#	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
1	Matt Duchene	992	384	595	979	223	210	630	2283	3125	12.29%	211	19733	19.89	94	212	306	713	8	10	18	64	61	17	53.56%	6	0.99	17	70
2	T.J. Oshie	780	270	434	704	120	536	1351	1725	2609	10.35%	320	17074	21.89	84	141	225	602	7	7	14	67	47	25	40.91%	9	0.82	16	59
3	Victor Hedman	823	180	522	702	149	966	1281	1088	1740	10.34%	1166	20050	24.36	109	178	287	1091	4	12	16	33	25	14	0.00%	1	0.70	1	3
4	Kevin Shattenkirk	1351	258	427	685	22	1054	1844	1790	2533	10.19%	772	22295	16.50	44	74	118	181	6	9	15	55	32	10	45.81%	3	0.61	6	32
5	Jamie Benn	484	298	353	651	181	505	1238	1326	2130	13.99%	117	10762	22.24	92	138	230	576	9	2	11	44	63	17	54.51%	10	1.21	8	44

BlueJackets Leaders des statistiques des gardiens (saison régulière)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Cory Schneider	204	108	71	17	0.902	2.89	11841	29	6	571	5827	148	6	3	0.784	74
2	Ondrej Pavelec	182	84	70	23	0.905	2.92	10630	12	2	517	5426	1941	11	3	0.687	99
3	Robin Lehner	122	73	29	10	0.894	2.96	6910	8	3	341	3213	0	12	2	0.719	57
4	Evgeni Nabokov	145	65	57	15	0.905	3.01	8442	49	3	423	4461	1016	7	1	0.763	59
5	Juuse Saros	106	60	28	11	0.907	2.80	5954	6	3	278	3000	0	7	0	0.667	27

BlueJackets Statistiques de l'Équipe de Carrière

Afficher ou masquer des colonnes

	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
Saison régulière
2017	82	34	31	0	1	5	4	7	282	266	16	41	17	14	0	1	3	4	2	150	136	14	41	17	17	0	0	2	0	5	132	130	2	75	282	461	743	1	0	0	70	113	94	2749	0	892	996	843	2698	869	1101	1945	259	45	17.37%	187	32	82.89%	6	1002	2095	47.83%	905	2025	44.69%	635	1406	45.16%	1784	1031	1916	808	1459	736
2018	82	35	26	0	7	3	5	6	236	225	11	41	21	10	0	5	1	2	2	131	110	21	41	14	16	0	2	2	3	4	105	115	-10	87	236	398	634	1	3	0	56	84	84	2718	0	827	961	889	2618	858	863	1856	196	32	16.33%	213	41	80.75%	1	1032	2031	50.81%	982	2060	47.67%	614	1296	47.38%	1762	1007	1726	742	1501	753
2019	82	34	29	0	3	4	7	5	243	245	-2	41	17	12	0	2	4	3	3	121	122	-1	41	17	17	0	1	0	4	2	122	123	-1	78	243	396	639	3	0	0	52	96	85	2621	0	778	904	910	2472	875	1029	2002	233	36	15.45%	236	35	85.17%	6	1113	2127	52.33%	1029	1977	52.05%	646	1219	52.99%	1853	1069	1648	733	1497	762
2020	82	26	43	0	3	3	2	5	237	268	-31	41	13	23	0	0	1	1	3	121	143	-22	41	13	20	0	3	2	1	2	116	125	-9	61	237	380	617	2	0	0	54	85	93	2571	0	756	900	897	2564	843	1127	1980	234	47	20.09%	242	54	77.69%	2	1034	2112	48.96%	995	2051	48.51%	595	1210	49.17%	1773	1014	1719	750	1479	734
2021	82	26	38	0	6	4	2	6	218	280	-62	41	10	22	0	5	2	1	1	104	143	-39	41	16	16	0	1	2	1	5	114	137	-23	68	218	385	603	0	3	0	78	67	65	2257	0	771	678	781	2627	765	1296	2049	424	60	14.15%	520	105	79.81%	7	1228	2838	43.27%	1358	3179	42.72%	527	1283	41.08%	1946	1313	2002	621	1034	514
2022	82	29	39	0	3	2	5	4	242	268	-26	41	14	19	0	1	1	3	3	134	144	-10	41	15	20	0	2	1	2	1	108	124	-16	66	242	418	660	1	2	0	78	86	70	2358	0	776	789	770	2518	770	1049	1857	455	91	20.00%	441	82	81.41%	0	1444	2964	48.72%	1471	3048	48.26%	626	1279	48.94%	2000	1375	1950	620	1021	507
2023	82	38	26	0	2	6	7	3	269	237	32	41	20	13	0	1	3	4	0	142	119	23	41	18	13	0	1	3	3	3	127	118	9	86	269	469	738	1	2	0	99	80	81	2415	0	797	802	789	2458	708	1077	1846	427	79	18.50%	461	82	82.21%	4	1557	2931	53.12%	1531	3063	49.98%	658	1330	49.47%	2012	1388	1948	608	1026	512
2024	82	42	28	0	1	2	3	6	294	256	38	41	23	11	0	0	2	3	2	159	129	30	41	19	17	0	1	0	0	4	135	127	8	100	294	521	815	2	2	0	124	91	75	2718	0	900	898	892	2441	709	937	1825	449	88	19.60%	403	87	78.41%	6	1674	3226	51.89%	1479	3013	49.09%	705	1367	51.57%	2052	1426	1887	610	1034	525
2025	82	55	12	0	6	2	4	3	330	205	125	41	30	4	0	2	2	2	1	174	100	74	41	25	8	0	4	0	2	2	156	105	51	135	330	587	917	0	3	0	122	94	104	2744	0	867	887	953	2171	648	963	1815	448	103	22.99%	403	58	85.61%	2	1687	3179	53.07%	1444	2762	52.28%	662	1283	51.60%	2155	1518	1785	600	1031	532
2026	82	52	15	0	3	3	4	5	327	227	100	41	27	7	0	1	1	2	3	164	104	60	41	25	8	0	2	2	2	2	163	123	40	126	327	577	904	0	6	0	122	98	100	2875	0	929	985	938	2176	622	1013	1849	522	113	21.65%	409	82	79.95%	6	1809	3374	53.62%	1450	2733	53.06%	702	1347	52.12%	2198	1551	1751	595	1030	538
2027	82	51	17	0	3	1	5	5	324	225	99	41	28	7	0	1	1	3	1	163	110	53	41	23	10	0	2	0	2	4	161	115	46	124	324	576	900	2	2	0	121	110	85	2890	0	989	1003	863	2225	628	1048	1819	454	117	25.77%	444	68	84.68%	10	1771	3289	53.85%	1529	2826	54.10%	752	1363	55.17%	2113	1472	1816	604	1043	540
2030	82	56	17	0	2	0	4	3	341	208	133	41	32	5	0	0	0	2	2	175	94	81	41	24	12	0	2	0	2	1	166	114	52	127	341	603	944	1	7	0	115	127	93	2969	0	982	1000	957	2224	665	966	1824	481	112	23.28%	414	76	81.64%	9	1858	3409	54.50%	1553	2858	54.34%	736	1329	55.38%	2156	1511	1771	600	1033	539
2031	82	53	13	0	3	2	8	3	342	227	115	41	23	7	0	1	2	5	3	176	122	54	41	30	6	0	2	0	3	0	166	105	61	133	342	594	936	1	4	0	116	120	95	2882	0	948	1007	894	2289	653	824	1679	471	115	24.42%	361	71	80.33%	3	1740	3218	54.07%	1484	2778	53.42%	670	1284	52.18%	2192	1562	1772	588	1022	535
2032	82	39	27	0	3	2	4	7	285	253	32	41	18	16	0	0	0	3	4	142	135	7	41	21	11	0	3	2	1	3	143	118	25	101	285	507	792	1	2	0	88	101	89	2654	0	808	922	897	2379	713	963	1860	446	90	20.18%	400	76	81.00%	8	1617	3058	52.88%	1431	2909	49.19%	656	1318	49.77%	2181	1548	1799	589	1008	532
2033	82	35	37	0	1	2	2	5	233	253	-20	41	17	20	0	1	2	0	1	114	123	-9	41	18	17	0	0	0	2	4	119	130	-11	83	233	420	653	1	4	0	84	79	67	2498	0	804	880	789	2583	786	1069	1810	391	74	18.93%	481	83	82.74%	0	1516	2920	51.92%	1660	3167	52.42%	701	1308	53.59%	1927	1302	1995	630	1039	514
2034	82	23	51	0	0	3	1	4	255	347	-92	41	14	24	0	0	0	1	2	125	173	-48	41	9	27	0	0	3	0	2	130	174	-44	55	255	459	714	1	1	0	86	75	93	2328	0	775	766	777	2977	883	1008	1979	359	70	19.50%	436	85	80.50%	4	1244	2755	45.15%	1259	3127	40.26%	607	1348	45.03%	1751	1152	2159	633	1046	499
2035	82	34	38	0	5	3	2	0	245	271	-26	41	19	18	0	1	2	1	0	121	123	-2	41	15	20	0	4	1	1	0	124	148	-24	85	245	442	687	1	6	0	97	74	67	2458	0	771	836	838	2741	762	995	1796	368	76	20.65%	420	77	81.67%	1	1528	2874	53.17%	1504	3056	49.21%	746	1341	55.63%	1916	1306	2008	597	1024	508
2036	82	44	27	0	4	2	1	4	342	276	66	41	23	15	0	1	2	0	0	166	153	13	41	21	12	0	3	0	1	4	176	123	53	104	342	601	943	1	4	0	133	98	106	2884	0	957	940	956	2777	776	1026	1868	401	101	25.19%	452	88	80.53%	6	1602	3072	52.15%	1486	3070	48.40%	703	1400	50.21%	1944	1346	2008	601	1009	501
2037	82	48	21	0	6	2	2	3	334	253	81	41	23	14	0	2	1	1	0	156	125	31	41	25	7	0	4	1	1	3	178	128	50	117	334	596	930	0	3	138	92	96	11	2913	968	935	982	48	2298	692	908	1805	400	99	24.75%	375	72	80.80%	2	1672	3164	52.84%	1323	2704	48.93%	692	1343	51.53%	2110	1491	1828	584	1026	529
2038	82	44	21	0	2	10	1	4	314	257	57	41	21	11	0	1	5	1	2	157	123	34	41	23	10	0	1	5	0	2	157	134	23	108	314	554	868	3	4	123	97	91	4	2943	1019	957	936	46	2350	664	895	1875	404	91	22.52%	375	63	83.20%	3	1696	3186	53.23%	1481	2756	53.74%	697	1357	51.36%	2068	1444	1868	589	1032	520
2039	41	24	8	0	6	2	0	1	160	116	44	20	11	5	0	1	2	0	1	76	64	12	21	13	3	0	5	0	0	0	84	52	32	63	160	285	445	0	0	61	44	49	6	1359	452	432	464	14	1167	347	523	881	212	36	16.98%	219	31	85.84%	3	776	1495	51.91%	676	1397	48.39%	326	658	49.54%	1008	711	962	295	505	249
Total Saison régulière	1681	822	564	0	70	63	73	89	5853	5163	690	840	421	277	0	27	37	42	36	2971	2595	376	841	401	287	0	43	26	31	53	2882	2568	314	1982	5853	10229	16082	23	58	322	1928	1914	1567	54804	2439	17651	18536	15741	50753	15236	20680	38220	8034	1675	20.85%	7892	1448	81.65%	89	30600	59317	51.59%	28030	56559	49.56%	13656	27069	50.45%	40912	27548	38326	13009	22907	11589
Séries éliminatoires
2018	19	9	10	0	0	0	0	0	50	49	1	10	6	4	0	0	0	0	0	31	28	3	9	3	6	0	0	0	0	0	19	21	-2	18	50	81	131	0	0	0	12	20	15	626	0	178	215	221	647	230	171	464	23	4	17.39%	48	5	89.58%	0	235	459	51.20%	228	490	46.53%	159	309	51.46%	410	239	418	166	339	170
2019	6	2	4	0	0	0	0	0	15	21	-6	3	1	2	0	0	0	0	0	9	11	-2	3	1	2	0	0	0	0	0	6	10	-4	4	15	26	41	0	0	0	3	7	4	172	0	55	55	60	214	70	45	125	6	0	0.00%	18	3	83.33%	1	48	122	39.34%	78	158	49.37%	63	98	64.29%	118	66	140	52	103	50
2023	4	0	4	0	0	0	0	0	8	17	-9	2	0	2	0	0	0	0	0	4	8	-4	2	0	2	0	0	0	0	0	4	9	-5	0	8	15	23	1	0	0	2	2	4	112	0	44	38	30	137	46	67	105	17	2	11.76%	26	4	84.62%	0	62	140	44.29%	73	153	47.71%	30	56	53.57%	90	61	100	29	49	25
2024	10	4	6	0	0	0	0	0	33	40	-7	5	2	3	0	0	0	0	0	19	18	1	5	2	3	0	0	0	0	0	14	22	-8	8	33	55	88	0	0	0	10	14	9	325	0	119	110	95	348	96	159	221	46	11	23.91%	67	15	77.61%	2	210	392	53.57%	219	404	54.21%	82	173	47.40%	239	164	238	73	124	60
2025	12	7	5	0	0	0	0	0	37	33	4	7	5	2	0	0	0	0	0	26	17	9	5	2	3	0	0	0	0	0	11	16	-5	14	37	69	106	0	1	0	16	15	6	408	0	135	144	101	394	116	194	288	71	16	22.54%	74	12	83.78%	0	223	467	47.75%	215	452	47.57%	99	200	49.50%	317	219	301	94	160	80
2026	15	9	6	0	0	0	0	0	53	50	3	9	5	4	0	0	0	0	0	28	30	-2	6	4	2	0	0	0	0	0	25	20	5	18	53	93	146	0	0	0	17	22	13	504	0	154	191	153	423	118	162	335	82	18	21.95%	64	9	85.94%	0	331	602	54.98%	272	524	51.91%	131	241	54.36%	386	271	335	111	190	98
2027	18	11	7	0	0	0	0	0	72	67	5	10	6	4	0	0	0	0	0	37	32	5	8	5	3	0	0	0	0	0	35	35	0	22	72	132	204	0	1	0	22	19	29	649	0	209	193	228	580	165	195	418	96	22	22.92%	89	17	80.90%	0	372	732	50.82%	337	677	49.78%	173	312	55.45%	454	311	418	137	231	118
2030	24	16	8	0	0	0	0	0	87	68	19	13	10	3	0	0	0	0	0	57	42	15	11	6	5	0	0	0	0	0	30	26	4	32	87	158	245	0	1	0	28	29	29	868	0	267	270	326	630	186	319	531	147	37	25.17%	116	17	85.34%	1	565	1024	55.18%	431	792	54.42%	194	396	48.99%	625	442	532	173	289	152
2031	17	10	7	0	0	0	0	0	59	55	4	9	6	3	0	0	0	0	0	31	25	6	8	4	4	0	0	0	0	0	28	30	-2	20	59	109	168	0	2	0	27	15	15	510	0	189	165	139	541	136	204	370	90	17	18.89%	89	21	76.40%	1	295	591	49.92%	299	626	47.76%	144	289	49.83%	428	296	407	124	216	111
2032	12	6	6	0	0	0	0	0	36	37	-1	6	5	1	0	0	0	0	0	19	12	7	6	1	5	0	0	0	0	0	17	25	-8	12	36	66	102	1	0	0	10	11	13	333	0	99	113	113	389	106	140	259	48	9	18.75%	65	11	83.08%	0	205	434	47.24%	219	423	51.77%	88	199	44.22%	313	219	277	87	156	80
2033	7	3	4	0	0	0	0	0	20	27	-7	3	2	1	0	0	0	0	0	11	9	2	4	1	3	0	0	0	0	0	9	18	-9	6	20	34	54	0	0	0	8	4	8	231	0	82	69	80	240	60	70	151	40	9	22.50%	35	8	77.14%	0	114	258	44.19%	124	279	44.44%	44	101	43.56%	165	113	168	52	85	42
2036	11	5	6	0	0	0	0	0	44	40	4	6	3	3	0	0	0	0	0	23	23	0	5	2	3	0	0	0	0	0	21	17	4	10	44	76	120	0	1	0	21	14	9	357	0	125	122	97	419	124	172	277	48	14	29.17%	68	11	83.82%	0	225	434	51.84%	226	477	47.38%	93	183	50.82%	256	176	294	82	140	66
2037	10	6	4	0	0	0	0	0	28	34	-6	5	4	1	0	0	0	0	0	15	14	1	5	2	3	0	0	0	0	0	13	20	-7	12	28	53	81	0	0	9	9	9	1	320	120	107	91	2	281	76	133	206	46	10	21.74%	51	8	84.31%	0	184	372	49.46%	155	335	46.27%	88	164	53.66%	247	173	235	73	124	62
2038	10	6	4	0	0	0	0	0	39	35	4	5	4	1	0	0	0	0	0	21	17	4	5	2	3	0	0	0	0	0	18	18	0	12	39	65	104	0	1	8	12	18	1	327	116	107	101	3	308	102	147	232	33	5	15.15%	52	14	73.08%	0	161	339	47.49%	178	354	50.28%	92	173	53.18%	247	176	235	71	125	62
Total Séries éliminatoires	175	94	81	0	0	0	0	0	581	573	8	93	59	34	0	0	0	0	0	331	286	45	82	35	47	0	0	0	0	0	250	287	-37	188	581	1032	1613	2	7	17	197	199	156	5742	236	1870	1877	1648	5551	1631	2178	3982	793	174	21.94%	862	155	82.02%	5	3230	6366	50.74%	3054	6144	49.71%	1480	2894	51.14%	4301	2932	4104	1331	2337	1183

BlueJackets Leaders statistiques (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKA	PKP	PKS	GW	GT	FO%	HT	P/20
1	Jamie Benn	98	51	80	131	23	105	248	279	431	11.83%	20	2188	22.33	13	31	44	116	1	1	5	11	0	53.26%	3	1.20
2	Matt Duchene	139	53	63	116	-9	40	87	345	412	12.86%	28	2576	18.53	15	22	37	67	1	1	3	9	3	52.99%	1	0.90
3	Victor Hedman	117	20	69	89	4	119	181	147	232	8.62%	167	2885	24.66	15	19	34	168	0	0	1	3	2	0.00%	0	0.62
4	Frans Nielsen	81	22	46	68	-6	31	34	216	227	9.69%	17	1563	19.30	6	22	28	54	1	1	4	4	1	51.28%	0	0.87
5	Dustin Byfuglien	88	20	47	67	7	216	351	95	192	10.42%	98	2006	22.80	15	13	28	128	0	0	0	3	3	36.84%	0	0.67

BlueJackets Leaders des statistiques des gardiens (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A
1	Brian Elliott	21	14	7	0	0.896	2.65	1221	2	1	54	517	0	1
2	Robin Lehner	23	13	7	2	0.904	2.98	1328	4	2	66	685	0	1
3	Evgeni Nabokov	23	10	10	1	0.921	2.55	1341	2	0	57	722	252	0
4	Sergei Bobrovsky	15	9	6	0	0.877	3.40	866	4	0	49	399	0	0
5	Devan Dubnyk	14	7	6	0	0.876	3.83	767	2	0	49	396	0	2