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

Centre de jeu
	Minnesota 34-39-9, 77pts	2	FINAL	6	Chicago 39-33-10, 88pts

Team Stats
L2	Streak	W2
14-22-5	Home Record	19-17-5
20-17-4	Away Record	20-16-5
3-6-1	Last 10 Games	5-5-0
2.70	Buts par match	3.00
3.30	Buts contre par match	3.01
21.53%	Pourcentage en avantage numérique	20.25%
78.96%	Pourcentage en désavantage numérique	83.22%

Chicago
39-33-10, 88pts

FINAL

Vancouver
44-31-7, 95pts

Team Stats
W2	Streak	L1
19-17-5	Home Record	22-16-3
20-16-5	Away Record	22-15-4
5-5-0	Last 10 Games	6-3-1
3.00	Buts par match	3.11
3.01	Buts contre par match	2.99
20.25%	Pourcentage en avantage numérique	19.23%
83.22%	Pourcentage en désavantage numérique	82.35%

Meneurs d'équipe
	Buts Yegor Sharangovich 35	Passes John Klingberg 49

	Points Yegor Sharangovich 78	Plus/Moins Yegor Sharangovich 21

	Victoires Linus Ullmark 22	Pourcentage d’arrêts Semyon Varlamov 0.93

Statistiques d’équipe
Buts pour 246 3.00 GFG	Tirs pour 2771 33.79 Avg	Pourcentage en avantage numérique 20.3% 64 GF	Début de zone offensive 43.1%
Buts contre 247 3.01 GAA	Tirs contre 2586 31.54 Avg	Pourcentage en désavantage numérique 83.2%% 48 GA	Début de la zone défensive 39.4%

Informations de l'équipe
	Directeur général	Pierre-Luc Simard
	Entraîneur	Michel Therrien
	Division	Centrale
	Conférence	Conference Ouest
	Capitaine
	Assistant #1	Mikael Backlund
	Assistant #2	Frederick Gaudreau
Informations de l’aréna
	Nom	United Center
	Capacité	23,867
	Assistance	13,723
	Billets de saison	9,547
Informations de la formation
	Équipe Pro	21
	Équipe Mineure	19
	Limite contact	40 / 50
	Espoirs	29
Plafond salarial
	Cap Salarial de la Saison estimé	63,317,525$
	Plafond salarial disponible	1,682,475$
	Valeur du plafond salarial spécial	1,200,000$
	Joueurs Inclus dans le plafond salarial	21
Finance
	Revenu annuel à ce jour	63,047,755$
	Dépenses annuelles à ce jour	67,796,260$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	22,608,365$
	Compte bancaire projeté	22,608,365$
Historique d'équipe
	Saison actuelle	39-33-10 (88PTS)
	Historique	78-66-20 (0.476%)
	Apparitions en séries éliminatoires	0
	Historique en séries éliminatoires (W-L)	-
	Coupe Stanley	0

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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 moyen
1	Pavel Zacha	X	X			100.00	82	32	95	80	97	88	91	81	86	80	81	72	84	46	46	76	50	0	0	24	1	900,000$
2	Brandon Saad		X	X		100.00	84	44	85	91	84	95	96	85	73	81	82	73	78	56	50	59	50	0	0	28	1	6,500,000$
3	J.T. Miller	X	X	X		100.00	81	41	90	85	83	93	99	76	78	76	74	63	77	55	50	62	50	0	0	28	1	5,500,000$
4	Yegor Sharangovich	X	X	X		100.00	71	32	99	87	90	89	88	82	74	80	81	78	87	41	39	77	50	0	0	23	2	500,000$
5	James Van Riemsdyk		X	X		100.00	78	32	91	76	75	72	82	78	53	73	77	69	87	74	70	36	50	0	0	32	1	4,675,000$
6	Joel Armia			X		100.00	86	33	89	76	95	88	85	84	74	81	80	76	82	60	56	61	50	0	0	28	1	2,000,000$
7	Radek Faksa	X	X			100.00	91	32	83	80	92	87	97	84	88	82	83	77	80	54	48	56	50	0	0	27	2	7,500,000$
8	Martin Necas			X		100.00	82	32	97	93	92	89	88	81	72	77	79	67	85	41	41	87	50	0	0	22	2	900,000$
9	Frederick Gaudreau (A)	X		X		100.00	72	27	97	78	77	77	81	71	90	69	70	78	77	60	60	44	50	0	0	28	1	1,200,000$
10	Michael Grabner		X	X		100.00	71	33	99	74	76	78	92	76	59	73	78	71	74	76	69	33	50	0	0	33	2	2,800,000$
11	Colin Wilson	X	X	X		100.00	68	24	99	78	78	75	89	70	82	65	67	68	82	68	61	39	50	0	0	31	2	700,000$
12	Mikael Backlund (A)	X		X		100.00	78	36	91	77	78	86	81	72	84	74	72	78	79	76	74	36	50	0	0	32	3	3,650,000$
13	John Klingberg				X	100.00	75	34	79	87	80	99	91	71	50	71	67	84	84	61	48	63	50	0	0	28	1	4,500,000$
14	Brett Pesce				X	100.00	66	39	85	84	89	99	98	66	56	68	59	93	82	52	44	69	50	0	0	26	3	4,000,000$
15	Olli Maatta				X	100.00	76	32	76	85	93	93	87	60	56	65	51	91	76	48	43	66	50	0	0	26	3	4,200,000$
16	Nate Schmidt				X	100.00	63	35	96	74	76	90	90	57	50	58	55	87	74	57	61	54	50	0	0	29	2	2,200,000$
17	Brady Skjei				X	100.00	81	37	74	84	94	89	95	68	53	65	59	90	77	55	44	69	50	0	0	27	2	3,300,000$
18	Christian Djoos				X	100.00	68	32	86	92	69	85	85	59	56	58	54	85	78	49	45	59	50	0	0	26	3	900,000$
Rayé
1	Erik Johnson				X	52.77	75	40	66	63	82	84	87	59	50	55	53	89	83	78	73	46	50	0	0	33	1	1,500,000$
Équipe Mineure
1	Joonas Donskoi		X	X		100.00	73	25	98	82	81	83	95	72	70	66	76	67	79	61	64	47	50	0	0	29	1	4,000,000$
2	Michael Dal Colle (R)		X	X		100.00	79	32	92	78	88	77	87	70	72	67	67	61	77	46	45	65	50	0	0	25	1	900,000$
3	Joe Vitale	X		X		100.00	63	29	91	57	72	59	89	62	82	63	64	70	73	79	75	12	50	0	0	35	2	975,000$
4	Jesse Puljujarvi (R)			X		100.00	84	30	90	79	90	84	87	76	70	73	75	65	75	41	41	81	50	0	0	23	2	900,000$
5	Tommy Wingels		X	X		100.00	66	28	89	64	74	81	82	64	59	65	64	64	78	63	56	35	50	0	0	33	2	900,000$
6	Jansen Harkins (R)		X	X		100.00	78	25	93	78	82	71	85	69	70	67	71	69	75	45	45	66	50	0	0	24	2	700,000$
7	Mitchell Stephens (R)	X				100.00	80	25	92	77	81	74	82	69	88	68	69	68	75	45	45	64	50	0	0	24	2	500,000$
8	Craig Smith	X		X		100.00	63	34	88	72	76	77	87	71	70	68	73	64	79	63	65	35	50	0	0	31	2	900,000$
9	Joey Hishon	X				100.00	58	33	96	81	69	77	68	70	80	72	68	64	80	52	41	44	50	0	0	29	2	750,000$
10	Lukas Sedlak	X	X			100.00	76	30	86	77	83	72	87	73	92	72	71	67	78	57	50	53	50	0	0	28	1	800,000$
11	Juho Lammikko (R)	X				100.00	71	31	96	81	84	78	85	69	85	69	68	66	85	45	38	57	50	0	0	25	1	600,000$
12	Kieffer Bellows (R)		X	X		100.00	84	35	93	79	84	76	74	70	70	69	70	61	77	42	42	69	50	0	0	23	2	800,000$
13	Ron Hainsey				X	100.00	63	32	88	49	82	80	97	48	50	47	48	90	67	99	99	1	50	0	0	40	2	900,000$
14	Kevin Connauton				X	100.00	68	35	76	73	82	81	90	57	50	54	52	86	76	58	52	46	50	0	0	31	2	999,000$
15	Daniel Brickley (R)				X	100.00	73	32	81	78	93	79	85	44	53	44	44	82	73	45	44	51	50	0	0	26	3	550,000$
16	Noah Juulsen (R)				X	100.00	90	30	95	77	84	80	60	45	50	48	44	88	75	45	45	59	50	0	0	24	2	800,000$
17	Derrick Pouliot (R)				X	100.00	82	30	82	83	80	82	83	52	50	53	46	84	75	55	55	44	50	0	0	27	1	900,000$

	MOYENNE D’ÉQUIPE					97.47	76	34	88	81	84	87	90	73	68	71	70	78	80	58	54	57	50	0

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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	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire moyen
1	Linus Ullmark	100.00	72	88	85	93	83	98	98	97	98	90	96	58	58	61	50	0	0	27	2	3,200,000$
2	Marc-Andre Fleury	100.00	67	81	83	89	80	97	99	98	99	86	89	99	99	35	50	0	0	36	2	1,750,000$
Rayé
Équipe Mineure
1	Semyon Varlamov	100.00	65	83	81	87	78	98	97	98	98	83	87	83	84	40	50	0	0	33	2	1,260,000$
2	Josef Korenar (R)	100.00	74	80	75	87	78	88	89	90	92	90	82	40	40	70	50	0	0	23	2	500,000$

	MOYENNE D’ÉQUIPE	100.00	70	85	84	91	82	98	99	98	99	88	93	79	79	48	50	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Michel Therrien	95	77	99	91	99	99	48	CAN	58	2	2,630,000$

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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	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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Yegor Sharangovich	Chicago	C/LW/RW	82	35	43	78	21	14	0	16	76	319	89	238	10.97%	12	1529	18.65	11	15	26	109	255	1	0	1	1	98	3	2	45.45%	121	0	0	1.02	4	13	0	0	0	7	6	5
2	John Klingberg	Chicago	D	82	14	49	63	-7	38	0	97	64	148	50	105	9.46%	110	1726	21.06	5	12	17	75	261	0	0	0	0	21	3	0	0.00%	0	0	0	0.73	1	5	0	0	0	2	2	7
3	Radek Faksa	Chicago	C/LW	82	25	37	62	-9	58	0	129	132	271	73	193	9.23%	15	1566	19.10	7	13	20	67	268	0	1	1	5	108	3	1	52.98%	2116	0	0	0.79	0	0	0	0	0	5	5	2
4	Pavel Zacha	Chicago	C/LW	82	27	34	61	11	22	0	77	108	221	65	160	12.22%	13	1477	18.01	8	12	20	47	256	0	0	0	1	36	7	2	52.51%	1931	0	0	0.83	3	10	0	0	0	6	5	4
5	Brandon Saad	Chicago	LW/RW	81	23	35	58	-8	53	15	107	101	306	95	239	7.52%	10	1518	18.74	5	10	15	63	258	0	0	0	1	28	1	2	47.20%	125	0	0	0.76	2	4	1	2	0	3	5	1
6	Joel Armia	Chicago	RW	82	21	35	56	-11	37	5	112	68	283	79	211	7.42%	13	1527	18.63	9	17	26	66	264	1	0	1	5	112	5	1	41.12%	107	0	1	0.73	0	1	0	0	0	1	4	3
7	Brett Pesce	Chicago	D	82	12	38	50	-7	49	15	45	99	143	44	90	8.39%	115	1918	23.39	4	11	15	75	267	0	0	0	2	239	4	0	0.00%	0	0	0	0.52	0	1	1	0	2	2	1	4
8	Brady Skjei	Chicago	D	82	12	31	43	-9	82	0	184	79	126	34	95	9.52%	89	1844	22.50	6	9	15	56	224	0	1	1	1	210	1	0	0.00%	0	1	1	0.47	0	0	0	0	0	1	1	1
9	J.T. Miller	Chicago	C/LW/RW	82	15	21	36	1	26	0	104	95	199	48	110	7.54%	6	1389	16.94	5	7	12	51	263	0	0	0	0	1	0	2	50.72%	556	0	1	0.52	0	0	0	0	0	1	2	2
10	James Van Riemsdyk	Chicago	LW/RW	78	6	27	33	-6	30	0	56	65	164	46	138	3.66%	16	1146	14.70	1	6	7	28	145	0	0	0	0	0	0	0	50.00%	78	0	0	0.58	0	0	0	0	0	0	0	1
11	Martin Necas	Chicago	RW	74	16	16	32	6	20	0	95	84	211	54	155	7.58%	8	1422	19.22	0	5	5	27	208	0	0	0	3	61	2	1	46.56%	131	0	0	0.45	2	4	0	0	0	5	1	2
12	Michael Grabner	Chicago	LW/RW	82	18	14	32	-5	9	5	35	46	126	35	97	14.29%	3	1119	13.65	3	6	9	22	133	0	0	0	0	0	2	1	41.76%	91	0	0	0.57	0	0	0	1	0	0	0	2
13	Olli Maatta	Chicago	D	79	3	22	25	-4	58	0	104	59	48	20	35	6.25%	117	1568	19.86	0	0	0	0	7	0	0	0	1	184	1	0	0.00%	0	0	0	0.32	0	0	0	0	0	0	2	1
14	Nate Schmidt	Chicago	D	79	5	12	17	2	4	0	11	44	33	12	27	15.15%	81	1219	15.43	0	0	0	0	0	0	0	0	0	147	2	0	0.00%	0	0	0	0.28	0	0	0	0	0	1	0	1
15	Erik Johnson	Chicago	D	73	4	12	16	12	77	5	128	33	45	20	28	8.89%	104	1226	16.81	1	0	1	8	66	0	1	1	1	147	1	0	0.00%	0	0	0	0.26	0	0	0	0	1	1	1	0
16	Frederick Gaudreau	Chicago	C/RW	82	8	7	15	-4	16	0	41	112	97	34	73	8.25%	9	977	11.92	0	0	0	0	0	0	0	0	4	312	0	1	50.85%	1463	1	0	0.31	0	0	0	0	0	1	0	2
17	Mikael Backlund	Chicago	C/RW	78	5	10	15	-8	18	0	65	76	112	34	88	4.46%	17	1074	13.77	0	0	0	0	3	0	0	0	9	294	0	1	54.68%	770	0	0	0.28	0	0	0	0	0	0	1	1
18	Colin Wilson	Chicago	C/LW/RW	82	3	5	8	-7	2	0	21	24	82	21	54	3.66%	6	654	7.99	0	0	0	0	0	0	0	0	0	0	0	1	38.64%	44	0	0	0.24	1	3	0	0	0	0	0	1
19	Joonas Donskoi	Rockford (CHI)	LW/RW	20	1	2	3	-1	0	0	13	12	22	8	31	4.55%	0	202	10.12	0	0	0	1	1	0	0	0	0	9	0	0	55.56%	18	0	0	0.30	0	0	0	0	0	0	0	0
20	Christian Djoos	Chicago	D	10	1	0	1	-3	0	0	9	7	8	4	3	12.50%	17	155	15.53	0	0	0	0	1	0	0	0	0	1	0	0	0.00%	0	0	0	0.13	0	0	0	0	0	0	0	0
21	Tommy Wingels	Rockford (CHI)	LW/RW	35	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.02	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00%	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1509	254	450	704	-36	613	45	1449	1384	2964	865	2170	8.57%	761	25264	16.74	65	123	188	695	2890	2	3	5	34	2014	35	15	51.72%	7551	2	3	0.56	13	41	2	3	3	36	36	40

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Linus Ullmark	Chicago	54	22	27	4	0.907	2.99	3132	2	3	156	1675	2	2	0.741	27	52	28	6	0	1
2	Marc-Andre Fleury	Chicago	29	14	6	6	0.910	2.64	1705	6	1	75	831	1	0	0.500	16	28	52	2	2	0
3	Semyon Varlamov	Rockford (CHI)	2	2	0	0	0.930	2.50	120	0	0	5	71	0	0	0.00%	0	2	0	0	0	0
4	Josef Korenar	Rockford (CHI)	1	1	0	0	0.857	2.00	30	0	0	1	7	0	0	1.000	3	0	2	0	0	0
Statistiques d’équipe totales ou en moyenne			86	39	33	10	0.908	2.85	4988	8	4	237	2584	3	2		46	82	82	8	2	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	Waiver Possible	Contrat	Type	Salaire actuel	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Link
Brady Skjei (contrat à 1 volet)	Chicago	D	27	1994-03-26	No	216 Lbs	6 ft3	No	No	Yes	Yes	2	Pro & Farm	3,300,000$	3,300,000$	0$	No	3,300,000$		Lien
Brandon Saad (contrat à 1 volet)	Chicago	LW/RW	28	1992-10-27	No	210 Lbs	6 ft1	No	No	Yes	Yes	1	Pro & Farm	6,500,000$	6,500,000$	0$	No			Lien
Brett Pesce (contrat à 1 volet)	Chicago	D	26	1994-11-15	No	204 Lbs	6 ft3	No	No	Yes	Yes	3	Pro & Farm	4,000,000$	4,000,000$	0$	No	4,000,000$	4,000,000$	Lien
Christian Djoos	Chicago	D	26	1994-08-06	No	172 Lbs	6 ft0	No	No	No	No	3	Pro & Farm	900,000$	900,000$	0$	No	900,000$	900,000$	Lien
Colin Wilson (contrat à 1 volet)	Chicago	C/LW/RW	31	1989-10-20	No	223 Lbs	6 ft1	No	No	Yes	Yes	2	Pro & Farm	700,000$	700,000$	0$	No	700,000$		Lien
Erik Johnson (sur la masse salariale)	Chicago	D	33	1988-03-21	No	238 Lbs	6 ft4	No	No	Yes	Yes	1	Pro & Farm	1,500,000$	0$	0$	Yes
Frederick Gaudreau (contrat à 1 volet)	Chicago	C/RW	28	1993-05-01	No	180 Lbs	6 ft0	No	No	Yes	Yes	1	Pro & Farm	1,200,000$	1,200,000$	0$	No			Lien
J.T. Miller (contrat à 1 volet)	Chicago	C/LW/RW	28	1993-03-14	No	210 Lbs	6 ft1	No	No	Yes	Yes	1	Pro & Farm	5,500,000$	5,500,000$	0$	No			Lien
James Van Riemsdyk (contrat à 1 volet)	Chicago	LW/RW	32	1989-05-04	No	207 Lbs	6 ft3	No	No	Yes	Yes	1	Pro & Farm	4,675,000$	4,675,000$	0$	No			Lien
Joel Armia (contrat à 1 volet)	Chicago	RW	28	1993-05-31	No	213 Lbs	6 ft4	No	No	Yes	Yes	1	Pro & Farm	2,000,000$	2,000,000$	0$	No			Lien
John Klingberg (contrat à 1 volet)	Chicago	D	28	1992-08-14	No	187 Lbs	6 ft2	No	No	Yes	Yes	1	Pro & Farm	4,500,000$	4,500,000$	0$	No			Lien
Linus Ullmark (contrat à 1 volet)	Chicago	G	27	1993-07-31 17:24:23	No	226 Lbs	6 ft4	No	No	Yes	Yes	2	Pro & Farm	3,200,000$	3,200,000$	0$	No	3,200,000$		Lien
Marc-Andre Fleury (contrat à 1 volet)	Chicago	G	36	1984-11-28 17:37:02	No	196 Lbs	6 ft2	No	No	Yes	Yes	2	Pro & Farm	1,750,000$	1,750,000$	0$	No	1,750,000$
Martin Necas	Chicago	RW	22	1999-01-15	No	192 Lbs	6 ft2	No	No	No	No	2	Pro & Farm	900,000$	900,000$	0$	No	900,000$		Lien
Michael Grabner (contrat à 1 volet)	Chicago	LW/RW	33	1987-10-05	No	198 Lbs	6 ft0	No	No	Yes	Yes	2	Pro & Farm	2,800,000$	2,800,000$	0$	No	2,800,000$		Lien
Mikael Backlund (contrat à 1 volet)	Chicago	C/RW	32	1989-03-17	No	210 Lbs	6 ft0	No	No	Yes	Yes	3	Pro & Farm	3,650,000$	3,650,000$	0$	No	3,650,000$	3,650,000$	Lien
Nate Schmidt (contrat à 1 volet)	Chicago	D	29	1991-07-16	No	201 Lbs	6 ft0	No	No	Yes	Yes	2	Pro & Farm	2,200,000$	2,200,000$	0$	No	2,200,000$		Lien
Olli Maatta (contrat à 1 volet)	Chicago	D	26	1994-08-22	No	213 Lbs	6 ft2	No	No	Yes	Yes	3	Pro & Farm	4,200,000$	4,200,000$	0$	No	4,200,000$	4,200,000$	Lien
Pavel Zacha	Chicago	C/LW	24	1997-04-06	No	212 Lbs	6 ft3	No	No	No	No	1	Pro & Farm	900,000$	900,000$	0$	No			Lien
Radek Faksa (contrat à 1 volet)	Chicago	C/LW	27	1994-01-09	No	219 Lbs	6 ft3	No	No	Yes	Yes	2	Pro & Farm	7,500,000$	7,500,000$	0$	No	7,500,000$		Lien
Yegor Sharangovich	Chicago	C/LW/RW	23	1998-06-06	No	198 Lbs	6 ft2	No	No	No	No	2	Pro & Farm	500,000$	500,000$	0$	No	500,000$		Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	28.29	206 Lbs	6 ft2	1.81	2,970,238$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
62,375,000$	35,600,000$	12,750,000$	0$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Yegor Sharangovich	Radek Faksa	Martin Necas	30	0	2	3
2	Brandon Saad	Pavel Zacha	Joel Armia	30	0	1	4
3	James Van Riemsdyk	J.T. Miller	Michael Grabner	25	0	1	4
4	Colin Wilson	Frederick Gaudreau	Mikael Backlund	15	0	4	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Brady Skjei	Brett Pesce	36	0	3	2
2	Olli Maatta	John Klingberg	36	0	3	2
3	Christian Djoos	Nate Schmidt	28	0	3	2
4	Christian Djoos	Nate Schmidt	0	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Brandon Saad	Radek Faksa	Martin Necas	50	0	0	5
2	J.T. Miller	Pavel Zacha	Joel Armia	50	0	0	5

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Yegor Sharangovich	John Klingberg	50	0	1	4
2	Brady Skjei	Brett Pesce	50	0	1	4

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Frederick Gaudreau	Mikael Backlund	65	1	4	0
2	Radek Faksa	Joel Armia	35	1	4	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Brady Skjei	Brett Pesce	50	0	5	0
2	Olli Maatta	Nate Schmidt	50	0	5	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Frederick Gaudreau	50	1	4	0	Brady Skjei	Brett Pesce	50	0	5	0
2	Mikael Backlund	50	1	4	0	Olli Maatta	Nate Schmidt	50	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Radek Faksa	Martin Necas	50	0	1	4
2	Pavel Zacha	Yegor Sharangovich	50	0	1	4

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Brady Skjei	Brett Pesce	50	0	3	2
2	Olli Maatta	John Klingberg	50	0	3	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Pavel Zacha	Radek Faksa	Martin Necas	Yegor Sharangovich	John Klingberg

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Radek Faksa	Frederick Gaudreau	Mikael Backlund	Olli Maatta	Brett Pesce

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Martin Necas, J.T. Miller, Michael Grabner	Michael Grabner, James Van Riemsdyk	Yegor Sharangovich

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
John Klingberg, Olli Maatta, Nate Schmidt	Olli Maatta	Nate Schmidt, Olli Maatta

Tirs de pénalité
Martin Necas, Yegor Sharangovich, Pavel Zacha, John Klingberg, Colin Wilson

Gardien
#1 : Linus Ullmark, #2 : Marc-Andre Fleury

Lignes d’attaque personnalisées en prolongation
, , , , , J.T. Miller, J.T. Miller, , , ,

Lignes de défense personnalisées en prolongation
, , , ,

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

	Total												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Anaheim	4	2	1	0	0	1	0	0	18	15	3	2	2	0	0	0	0	0	0	11	3	8	2	0	1	0	0	1	0	0	7	12	-5	5	0.625	18	31	49	0	1	7	3	8	0	130	44	40	45	1	150	41	32	81	13	4	30.77%	15	3	80.00%	1	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	91	62	101	30	49	24
2	Arizona	5	2	2	0	0	0	1	0	12	12	0	3	1	1	0	0	0	1	0	7	8	-1	2	1	1	0	0	0	0	0	5	4	1	6	0.600	12	21	33	0	1	6	3	2	1	160	58	44	55	5	147	41	41	79	26	4	15.38%	17	2	88.24%	0	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	126	89	118	34	60	30
3	Boston	2	1	1	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	1	2	-1	1	1	0	0	0	0	0	0	4	2	2	2	0.500	5	8	13	0	0	3	0	2	0	80	26	22	32	0	62	19	10	33	9	2	22.22%	5	0	100.00%	0	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	50	34	44	14	24	13
4	Buffalo	2	0	1	0	0	0	0	1	3	8	-5	1	0	1	0	0	0	0	0	2	6	-4	1	0	0	0	0	0	0	1	1	2	-1	1	0.250	3	5	8	0	0	2	1	0	0	70	25	21	23	4	55	13	6	46	10	1	10.00%	2	0	100.00%	0	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	53	37	43	14	27	13
5	Columbus	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	2	5	-3	2	0.500	6	11	17	0	0	1	4	1	0	67	21	25	21	0	59	13	12	39	12	3	25.00%	6	1	83.33%	0	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	48	33	47	15	24	11
6	Dallas	6	3	1	0	0	1	0	1	19	16	3	3	1	0	0	0	1	0	1	11	11	0	3	2	1	0	0	0	0	0	8	5	3	8	0.667	19	34	53	0	1	6	10	3	0	205	62	82	59	4	193	59	46	110	20	3	15.00%	19	5	73.68%	0	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	151	104	137	44	79	41
7	Detroit	2	1	1	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	3	2	1	2	0.500	5	9	14	0	0	1	1	3	0	69	23	25	21	0	64	12	10	35	9	1	11.11%	5	1	80.00%	0	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	51	36	43	13	25	13
8	Edmonton	4	1	2	0	1	0	0	0	12	11	1	2	0	1	0	1	0	0	0	7	7	0	2	1	1	0	0	0	0	0	5	4	1	4	0.500	12	20	32	0	0	4	5	2	1	141	45	49	45	2	101	31	24	72	16	2	12.50%	12	4	66.67%	0	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	100	69	92	28	49	25
9	Floride	2	0	1	0	0	0	0	1	4	7	-3	1	0	0	0	0	0	0	1	3	4	-1	1	0	1	0	0	0	0	0	1	3	-2	1	0.250	4	8	12	0	0	1	2	1	0	63	22	17	21	6	76	21	18	43	4	1	25.00%	8	3	62.50%	0	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	50	36	49	14	24	12
10	LosAngeles	4	0	3	0	0	0	0	1	5	13	-8	2	0	2	0	0	0	0	0	2	7	-5	2	0	1	0	0	0	0	1	3	6	-3	1	0.125	5	8	13	0	0	0	1	4	0	113	44	27	40	5	130	49	34	67	10	2	20.00%	16	2	87.50%	0	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	91	61	101	30	52	25
11	Minnesota	6	3	3	0	0	0	0	0	22	18	4	3	1	2	0	0	0	0	0	11	9	2	3	2	1	0	0	0	0	0	11	9	2	6	0.500	22	41	63	0	0	7	5	10	0	222	76	62	84	0	187	40	38	85	30	9	30.00%	17	4	76.47%	0	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	153	109	132	43	73	38
12	Montreal	3	1	2	0	0	0	0	0	8	10	-2	2	1	1	0	0	0	0	0	6	6	0	1	0	1	0	0	0	0	0	2	4	-2	2	0.333	8	14	22	0	0	2	1	5	0	104	37	32	35	0	94	28	28	56	9	2	22.22%	14	1	92.86%	0	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	70	49	71	21	38	19
13	NYRangers	3	0	2	0	0	0	0	1	6	10	-4	1	0	1	0	0	0	0	0	1	2	-1	2	0	1	0	0	0	0	1	5	8	-3	1	0.167	6	11	17	0	0	5	1	0	1	105	43	31	31	4	93	31	57	37	14	0	0.00%	14	2	85.71%	0	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	75	51	68	23	40	20
14	Nashville	6	2	2	0	0	0	1	1	17	18	-1	3	0	1	0	0	0	1	1	7	11	-4	3	2	1	0	0	0	0	0	10	7	3	7	0.583	17	26	43	0	1	5	6	5	4	187	65	57	64	11	195	38	50	106	15	1	6.67%	23	3	86.96%	0	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	147	101	144	44	77	38
15	New Jersey	3	2	1	0	0	0	0	0	8	8	0	1	0	1	0	0	0	0	0	2	5	-3	2	2	0	0	0	0	0	0	6	3	3	4	0.667	8	14	22	0	0	3	3	2	0	134	49	35	50	0	72	26	12	59	14	3	21.43%	6	1	83.33%	0	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	83	61	59	21	36	19
16	Philadelphie	2	1	1	0	0	0	0	0	8	8	0	1	1	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	8	13	21	0	0	3	3	2	0	53	18	17	18	0	69	31	24	38	5	1	20.00%	11	3	72.73%	0	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	46	31	48	14	25	12
17	Pittsburgh	2	0	1	0	1	0	0	0	7	8	-1	1	0	0	0	1	0	0	0	4	3	1	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	7	13	20	1	0	2	1	3	1	70	18	18	33	1	50	17	18	40	7	3	42.86%	9	2	77.78%	0	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	48	34	48	13	26	13
18	San Jose	4	1	1	0	0	0	1	1	13	11	2	2	0	1	0	0	0	0	1	4	6	-2	2	1	0	0	0	0	1	0	9	5	4	5	0.625	13	21	34	0	0	4	4	4	3	129	48	43	36	12	134	50	31	70	15	5	33.33%	12	2	83.33%	0	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	92	63	104	29	52	26
19	St. Louis	6	3	1	0	0	0	1	1	19	18	1	3	2	0	0	0	0	1	0	9	6	3	3	1	1	0	0	0	0	1	10	12	-2	9	0.750	19	33	52	1	0	8	4	6	1	218	65	67	83	10	183	37	62	108	23	3	13.04%	20	2	90.00%	0	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	151	103	135	45	82	42
20	Toronto	2	0	2	0	0	0	0	0	3	11	-8	1	0	1	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	0	5	-5	0	0.000	3	5	8	0	0	0	3	0	0	44	13	17	14	0	78	29	18	34	4	0	0.00%	8	2	75.00%	0	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	41	27	53	15	25	11
21	Vancouver	4	2	1	0	0	0	1	0	16	12	4	2	1	0	0	0	0	1	0	6	3	3	2	1	1	0	0	0	0	0	10	9	1	6	0.750	16	28	44	0	0	5	5	5	1	159	54	48	53	6	146	38	28	66	21	6	28.57%	13	3	76.92%	1	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	100	70	92	30	51	26
22	Washington	2	1	1	0	0	0	0	0	7	5	2	1	0	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	4	1	3	2	0.500	7	14	21	0	0	2	3	2	0	78	26	27	25	0	60	18	21	22	8	2	25.00%	7	0	100.00%	0	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	55	41	41	13	22	11
23	Winnipeg	6	5	1	0	0	0	0	0	23	13	10	3	2	1	0	0	0	0	0	12	7	5	3	3	0	0	0	0	0	0	11	6	5	10	0.833	23	41	64	0	0	11	6	6	0	170	66	66	38	0	188	62	54	101	22	6	27.27%	27	2	92.59%	0	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	131	88	150	46	77	39
	Total	82	32	33	0	2	2	5	8	246	247	-1	41	13	17	0	2	1	4	4	123	123	0	41	19	16	0	0	1	1	4	123	124	-1	88	0.537	246	429	675	2	4	88	75	76	13	2771	948	872	926	71	2586	744	674	1427	316	64	20.25%	286	48	83.22%	2	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	2014	1396	1930	603	1051	532
	_Since Last GM Reset	82	32	33	0	2	2	5	8	246	247	-1	41	13	17	0	2	1	4	4	123	123	0	41	19	16	0	0	1	1	4	123	124	-1	88	0.537	246	429	675	2	4	88	75	76	13	2771	948	872	926	71	2586	744	674	1427	316	64	20.25%	286	48	83.22%	2	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	2014	1396	1930	603	1051	532
	_Vs Conference	55	24	18	0	1	2	5	5	176	157	19	28	10	9	0	1	1	4	3	87	78	9	27	14	9	0	0	1	1	2	89	79	10	67	0.609	176	304	480	1	4	63	52	55	11	1834	627	585	602	56	1754	486	440	945	211	45	21.33%	191	32	83.25%	2	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	1337	923	1310	407	710	359
	_Vs Division	30	16	8	0	0	1	2	3	100	83	17	15	6	4	0	0	1	2	2	50	44	6	15	10	4	0	0	0	0	1	50	39	11	40	0.667	100	175	275	1	2	37	31	30	5	1002	334	334	328	25	946	236	250	510	110	22	20.00%	106	16	84.91%	0	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	735	507	700	223	392	200

			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
82	88	W2	246	429	675	2771	2586	744	674	1427	2	4

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	32	33	2	2	5	8	246	247

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	13	17	2	1	4	4	123	123

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	19	16	0	1	1	4	123	124

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
5	5	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
316	64	20.25%	286	48	83.22%	2

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
948	872	926	71	88	75	76	13

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
1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%

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
2014	1396	1930	603	1051	532

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	SO	Lien
2 - 2022-11-25	4	Chicago	4	Dallas	0	AW			Sommaire du match
4 - 2022-11-26	18	Dallas	3	Chicago	5	BW			Sommaire du match
6 - 2022-11-27	30	Chicago	5	Nashville	3	AW			Sommaire du match
8 - 2022-11-28	37	Nashville	5	Chicago	1	BL			Sommaire du match
11 - 2022-11-30	57	Winnipeg	4	Chicago	3	BL			Sommaire du match
14 - 2022-12-01	71	Chicago	3	Minnesota	4	AL			Sommaire du match
15 - 2022-12-02	81	Chicago	3	St. Louis	4	AL	X	X	Sommaire du match
17 - 2022-12-03	91	Minnesota	4	Chicago	3	BL			Sommaire du match
19 - 2022-12-04	106	Chicago	5	San Jose	2	AW			Sommaire du match
21 - 2022-12-05	112	Chicago	4	Winnipeg	3	AW			Sommaire du match
23 - 2022-12-06	124	Arizona	2	Chicago	3	BW	X	X	Sommaire du match
26 - 2022-12-07	139	St. Louis	2	Chicago	3	BW			Sommaire du match
28 - 2022-12-08	152	Arizona	3	Chicago	4	BW			Sommaire du match
30 - 2022-12-09	160	Chicago	2	Winnipeg	1	AW			Sommaire du match
32 - 2022-12-10	173	Chicago	4	New Jersey	2	AW			Sommaire du match
34 - 2022-12-11	184	Vancouver	2	Chicago	3	BW	X	X	Sommaire du match
38 - 2022-12-13	201	Chicago	2	Montreal	4	AL			Sommaire du match
40 - 2022-12-14	208	Columbus	1	Chicago	4	BW			Sommaire du match
42 - 2022-12-15	218	Chicago	2	Nashville	0	AW			Sommaire du match
43 - 2022-12-16	227	Chicago	4	Washington	1	AW			Sommaire du match
45 - 2022-12-17	235	LosAngeles	4	Chicago	1	BL			Sommaire du match
48 - 2022-12-18	254	Vancouver	1	Chicago	3	BW			Sommaire du match
50 - 2022-12-19	264	Chicago	4	San Jose	3	AW	X	X	Sommaire du match
52 - 2022-12-20	270	Chicago	1	LosAngeles	3	AL			Sommaire du match
54 - 2022-12-21	279	Boston	2	Chicago	1	BL			Sommaire du match
56 - 2022-12-22	295	Chicago	2	New Jersey	1	AW			Sommaire du match
58 - 2022-12-23	304	Pittsburgh	3	Chicago	4	BW	X		Sommaire du match
60 - 2022-12-24	312	Chicago	1	Buffalo	2	AL	X	X	Sommaire du match
62 - 2022-12-25	319	Chicago	3	NYRangers	5	AL			Sommaire du match
64 - 2022-12-26	331	San Jose	2	Chicago	1	BL			Sommaire du match
66 - 2022-12-27	343	Chicago	2	LosAngeles	3	AL	X	X	Sommaire du match
68 - 2022-12-28	355	Montreal	3	Chicago	0	BL			Sommaire du match
71 - 2022-12-30	370	Chicago	4	Boston	2	AW			Sommaire du match
73 - 2022-12-31	379	Philadelphie	3	Chicago	5	BW			Sommaire du match
78 - 2023-01-02	399	Buffalo	6	Chicago	2	BL			Sommaire du match
82 - 2023-01-04	418	Anaheim	3	Chicago	5	BW			Sommaire du match
84 - 2023-01-05	431	Chicago	3	Philadelphie	5	AL			Sommaire du match
86 - 2023-01-06	440	Chicago	1	Floride	3	AL			Sommaire du match
87 - 2023-01-07	449	Montreal	3	Chicago	6	BW			Sommaire du match
90 - 2023-01-08	464	Chicago	6	St. Louis	5	AW			Sommaire du match
92 - 2023-01-09	472	Chicago	5	Anaheim	6	AL	X		Sommaire du match
93 - 2023-01-10	479	NYRangers	2	Chicago	1	BL			Sommaire du match
96 - 2023-01-11	497	Chicago	0	Toronto	5	AL			Sommaire du match
97 - 2023-01-12	504	St. Louis	1	Chicago	2	BW			Sommaire du match
100 - 2023-01-13	520	Winnipeg	1	Chicago	5	BW			Sommaire du match
103 - 2023-01-15	538	Anaheim	0	Chicago	6	BW			Sommaire du match
106 - 2023-01-16	554	Chicago	3	Nashville	4	AL			Sommaire du match
108 - 2023-01-17	565	New Jersey	5	Chicago	2	BL			Sommaire du match
112 - 2023-01-19	579	Chicago	2	NYRangers	3	AL	X	X	Sommaire du match
114 - 2023-01-20	587	San Jose	4	Chicago	3	BL	X	X	Sommaire du match
116 - 2023-01-21	598	Chicago	3	Pittsburgh	5	AL			Sommaire du match
119 - 2023-01-23	612	St. Louis	3	Chicago	4	BW	X	X	Sommaire du match
121 - 2023-01-24	619	Chicago	2	Anaheim	6	AL			Sommaire du match
123 - 2023-01-25	629	Chicago	1	St. Louis	3	AL			Sommaire du match
125 - 2023-01-26	640	Chicago	5	Minnesota	3	AW			Sommaire du match
126 - 2023-01-26	648	Dallas	3	Chicago	2	BL	X	X	Sommaire du match
128 - 2023-01-27	659	Chicago	3	Minnesota	2	AW			Sommaire du match
130 - 2023-01-28	670	Dallas	5	Chicago	4	BL	X		Sommaire du match
134 - 2023-01-30	687	Chicago	5	Winnipeg	2	AW			Sommaire du match
135 - 2023-01-31	691	Floride	4	Chicago	3	BL	X	X	Sommaire du match
138 - 2023-02-01	709	Chicago	2	Columbus	5	AL			Sommaire du match
139 - 2023-02-02	715	Toronto	6	Chicago	3	BL			Sommaire du match
143 - 2023-02-04	735	Winnipeg	2	Chicago	4	BW			Sommaire du match
146 - 2023-02-05	749	Chicago	3	Arizona	0	AW			Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2023-02-06	759	Detroit	3	Chicago	2	BL			Sommaire du match
152 - 2023-02-08	779	Chicago	1	Dallas	4	AL			Sommaire du match
153 - 2023-02-09	784	Nashville	4	Chicago	3	BL	X	X	Sommaire du match
155 - 2023-02-10	800	Chicago	3	Dallas	1	AW			Sommaire du match
157 - 2023-02-11	808	Nashville	2	Chicago	3	BW	X	X	Sommaire du match
160 - 2023-02-12	824	Chicago	2	Edmonton	3	AL			Sommaire du match
162 - 2023-02-13	834	Arizona	3	Chicago	0	BL			Sommaire du match
164 - 2023-02-14	844	Chicago	2	Arizona	4	AL			Sommaire du match
167 - 2023-02-16	856	Washington	4	Chicago	3	BL			Sommaire du match
169 - 2023-02-17	870	Chicago	3	Detroit	2	AW			Sommaire du match
170 - 2023-02-17	877	Chicago	3	Edmonton	1	AW			Sommaire du match
172 - 2023-02-18	884	LosAngeles	3	Chicago	1	BL			Sommaire du match
176 - 2023-02-20	905	Edmonton	3	Chicago	2	BL			Sommaire du match
180 - 2023-02-22	925	Chicago	3	Vancouver	4	AL			Sommaire du match
182 - 2023-02-23	931	Edmonton	4	Chicago	5	BW	X		Sommaire du match
187 - 2023-02-26	951	Minnesota	3	Chicago	2	BL			Sommaire du match
192 - 2023-02-28	966	Minnesota	2	Chicago	6	BW			Sommaire du match
194 - 2023-03-01	977	Chicago	7	Vancouver	5	AW			Sommaire du match

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	7200	6944	2778	5556	1389
Prix des billets	98	79	60	45	188
Assistance	193,002	155,458	64,683	115,268	34,248
Attendance PCT	65.38%	54.60%	56.79%	50.60%	60.14%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
0	13723 - 57.50%	1,537,750$	63,047,755$	23867	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
67,796,260$	64,875,000$	64,875,000$	0$	1,200,000$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
309,213$	62,117,525$	0$	21	1

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	0	342,665$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	22,608,365$	22,608,365$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
63,317,525$	1,682,475$	65,000,000$	23,317,525$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Yegor Sharangovich	AGE:23	PO:77	OV:0
Pavel Zacha	AGE:24	PO:76	OV:0
Kieffer Bellows (R)	AGE:23	PO:69	OV:0
Jansen Harkins (R)	AGE:24	PO:66	OV:0
Michael Dal Colle (R)	AGE:25	PO:65	OV:0
J.T. Miller	AGE:28	PO:62	OV:0
Brandon Saad	AGE:28	PO:59	OV:0
Radek Faksa	AGE:27	PO:56	OV:0
Lukas Sedlak	AGE:28	PO:53	OV:0
Joonas Donskoi	AGE:29	PO:47	OV:0
Colin Wilson	AGE:31	PO:39	OV:0
James Van Riemsdyk	AGE:32	PO:36	OV:0
Tommy Wingels	AGE:33	PO:35	OV:0
Michael Grabner	AGE:33	PO:33	OV:0

Yegor Sharangovich	AGE:23	PO:77	OV:0
Pavel Zacha	AGE:24	PO:76	OV:0
Mitchell Stephens (R)	AGE:24	PO:64	OV:0
J.T. Miller	AGE:28	PO:62	OV:0
Juho Lammikko (R)	AGE:25	PO:57	OV:0
Radek Faksa	AGE:27	PO:56	OV:0
Lukas Sedlak	AGE:28	PO:53	OV:0
Frederick Gaudreau	AGE:28	PO:44	OV:0
Joey Hishon	AGE:29	PO:44	OV:0
Colin Wilson	AGE:31	PO:39	OV:0
Mikael Backlund	AGE:32	PO:36	OV:0
Craig Smith	AGE:31	PO:35	OV:0
Joe Vitale	AGE:35	PO:12	OV:0

Martin Necas	AGE:22	PO:87	OV:0
Jesse Puljujarvi (R)	AGE:23	PO:81	OV:0
Yegor Sharangovich	AGE:23	PO:77	OV:0
Kieffer Bellows (R)	AGE:23	PO:69	OV:0
Jansen Harkins (R)	AGE:24	PO:66	OV:0
Michael Dal Colle (R)	AGE:25	PO:65	OV:0
J.T. Miller	AGE:28	PO:62	OV:0
Joel Armia	AGE:28	PO:61	OV:0
Brandon Saad	AGE:28	PO:59	OV:0
Joonas Donskoi	AGE:29	PO:47	OV:0
Frederick Gaudreau	AGE:28	PO:44	OV:0
Colin Wilson	AGE:31	PO:39	OV:0
James Van Riemsdyk	AGE:32	PO:36	OV:0
Mikael Backlund	AGE:32	PO:36	OV:0
Tommy Wingels	AGE:33	PO:35	OV:0
Craig Smith	AGE:31	PO:35	OV:0
Michael Grabner	AGE:33	PO:33	OV:0
Joe Vitale	AGE:35	PO:12	OV:0

Défense #1

Défense #2

Gardien

Brett Pesce	AGE:26	PO:69	OV:0
Brady Skjei	AGE:27	PO:69	OV:0
Olli Maatta	AGE:26	PO:66	OV:0
John Klingberg	AGE:28	PO:63	OV:0
Noah Juulsen (R)	AGE:24	PO:59	OV:0
Christian Djoos	AGE:26	PO:59	OV:0

Nate Schmidt	AGE:29	PO:54	OV:0
Daniel Brickley (R)	AGE:26	PO:51	OV:0
Kevin Connauton	AGE:31	PO:46	OV:0
Erik Johnson	AGE:33	PO:46	OV:0
Derrick Pouliot (R)	AGE:27	PO:44	OV:0
Ron Hainsey	AGE:40	PO:1	OV:0

Josef Korenar (R)	AGE:23	PO:70	OV:0
Linus Ullmark	AGE:27	PO:61	OV:0
Semyon Varlamov	AGE:33	PO:40	OV:0
Marc-Andre Fleury	AGE:36	PO:35	OV:0

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
Alexander Alexeyev	Chicago	17	34
Alexander Nikishin	Chicago	19	94
Boris Katchouk	Chicago	15	71
Braden Schneider	Chicago	19	23
Cameron Morrison	Chicago	15	66
Connor Zary	Chicago	19	19
Dmitri Buchelnikov*	Chicago	20	66
Elmer Soderblom*	Chicago	20	59
Filip Johansson	Chicago	17	45
Jakub Lauko	Chicago	17	54
Jeremy Bracco	Chicago	14	53
Jesper Sellgren	Chicago	17	141
Justin Sourdif	Chicago	19	66
Logan Stankoven	Chicago	20	18
Lukas Cormier	Chicago	19	49
Lukas Reichel	Chicago	19	18
Luke Hughes	Chicago	20	5
Martin Fehervary	Chicago	17	43
Martin Pospisil	Chicago	17	104
Nick Baptiste	Chicago	12	42
Owen Tippett	Chicago	16	11
Philipp Kurashev	Chicago	17	69
Roni Hirvonen	Chicago	19	47
Rourke Chartier	Chicago	13	88
Samuel Bolduc	Chicago	18	38
Simon Edvinsson	Chicago	20	6
Taylor Raddysh	Chicago	15	30
Ty Smilanic	Chicago	19	84
William Dufour	Chicago	19	114

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
21
22
23
24
25

Chicago Historique de transactions

[2023-07-10 20:02:53] - New Record for Team's Most Shots (60) in 1 Game for Chicago!
[2023-05-08 01:18:44] - TRADE : From Washington to Chicago : Martin Necas, Y:22-RND:3-BOS, Y:22-RND:3-WSH.
[2023-05-08 01:18:44] - TRADE : From Chicago to Washington : Maxime Comtois, Y:21-RND:2-CHI, Y:21-RND:2-TOR.
[2023-04-18 03:26:44] - TRADE : From Chicago to St. Louis : Niklas Hjalmarsson, Y:21-RND:3-CHI, Y:21-RND:5-DET.
[2023-04-18 03:26:44] - TRADE : From St. Louis to Chicago : James Van Riemsdyk.
[2023-04-18 03:18:30] - TRADE : From Chicago to Dallas : Y:21-RND:5-LA .
[2023-04-18 03:18:30] - TRADE : From Dallas to Chicago : Erik Johnson.
[2023-03-31 20:43:15] - New Record for Team's Most Shots (55) in 1 Game for Chicago!
[2023-01-22 09:33:03] - TRADE : From Columbus to Chicago : Brandon Saad.
[2023-01-22 09:33:03] - TRADE : From Chicago to Columbus : Frank Vatrano, Nicolas Hague, Rem Pitlick, Y:21-RND:2-STL, Y:21-RND:3-TOR.
[2022-12-07 20:17:15] - Derrick Pouliot has been selected as assistant for Rockford.
[2022-12-07 20:17:15] - Unknown Player is no longer as assistant for Rockford.
[2022-12-07 20:17:15] - Kevin Connauton has been selected as assistant for Rockford.
[2022-12-07 20:17:15] - Unknown Player is no longer as assistant for Rockford.
[2022-12-07 20:17:15] - Ron Hainsey has been selected as captain for Rockford.
[2022-12-07 20:17:15] - Unknown Player is no longer captain for Rockford.
[2022-12-03 09:42:14] - TRADE : From LosAngeles to Chicago : Y:21-RND:5-LA .
[2022-12-03 09:42:14] - TRADE : From Chicago to LosAngeles : Travis Dermott.
[2022-12-03 09:29:11] - TRADE : From Arizona to Chicago : Nate Schmidt.
[2022-11-18 11:09:39] - Kieffer Bellows has been deleted from Chicago.
[2022-11-16 01:03:27] - Steven Kampfer was released.
[2022-11-16 01:03:27] - Chicago paid 0 $ to release Steven Kampfer.
[2022-11-16 01:02:48] - Brett Connolly was released.
[2022-11-16 01:02:48] - Chicago paid 0 $ to release Brett Connolly.
[2022-11-15 22:32:23] - Kieffer Bellows signed with Chicago for 800 000 $ for 2 year(s).
[2022-11-15 22:32:23] - Kieffer Bellows was added to Chicago.
[2022-11-13 16:51:38] - TRADE : From Minnesota to Chicago : Niklas Hjalmarsson, Y:22-RND:3-MIN.
[2022-11-13 16:51:38] - TRADE : From Chicago to Minnesota : Y:21-RND:7-CHI.
[2022-11-12 19:01:24] - Derrick Pouliot has been selected as assistant for Rockford.
[2022-11-12 19:01:24] - Unknown Player is no longer as assistant for Rockford.
[2022-11-12 19:01:24] - Lukas Sedlak has been selected as assistant for Rockford.
[2022-11-12 19:01:24] - Unknown Player is no longer as assistant for Rockford.
[2022-11-12 19:01:24] - Ron Hainsey has been selected as captain for Rockford.
[2022-11-12 19:01:24] - Unknown Player is no longer captain for Rockford.
[2022-11-11 19:47:13] - Frederick Gaudreau has been selected as assistant for Chicago.
[2022-11-11 19:47:13] - Joel Armia is no longer as assistant for Chicago.
[2022-11-11 19:47:13] - Mikael Backlund has been selected as assistant for Chicago.
[2022-11-11 19:47:13] - Unknown Player is no longer as assistant for Chicago.
[2022-11-11 11:21:11] - Michael Grabner signed with Chicago for 2 800 000 $ for 2 year(s) / Option : 1 Way Contract .
[2022-11-11 11:21:11] - Michael Grabner was added to Chicago.
[2022-11-09 22:40:41] - TRADE : From Chicago to Dallas : Patrik Nemeth.
[2022-11-09 22:40:41] - TRADE : From Dallas to Chicago : Y:22-RND:6-DAL, Y:22-RND:7-DAL.
[2022-11-09 22:12:21] - Mikael Backlund signed with Chicago for 3 650 000 $ for 3 year(s) / Option : 1 Way Contract .
[2022-11-09 22:12:21] - Mikael Backlund was added to Chicago.

[2023-07-12 19:37:53] Last 7 Days Pro Star : 1 - Brock Boeser of Washington (3-2-5) / 2 - Yegor Sharangovich of Chicago (3-2-5) / 3 - Laurent Brossoit of St. Louis (0,909)
[2023-07-12 19:25:20] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5
[2023-07-10 20:02:53] New Record for Team's Most Shots (60) in 1 Game for Chicago!
[2023-07-10 19:58:51] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5
[2023-07-07 21:02:49] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5
[2023-07-05 20:54:54] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5
[2023-07-03 22:08:24] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5
[2023-07-01 05:42:56] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5
[2023-06-28 20:52:50] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5
[2023-06-26 23:11:54] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5
[2023-06-26 23:11:54] Christian Djoos of Chicago was sent to pro.
[2023-06-23 23:16:39] Game 925 - Erik Johnson from Chicago is injured (Sprained Left Finger) and is out for 3 months.
[2023-06-23 23:09:58] Successfully loaded Chicago lines done with STHS Client - 3.3.8.8
[2023-06-21 01:04:17] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5
[2023-06-19 20:00:27] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5
[2023-06-16 15:44:10] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5
[2023-06-14 21:37:48] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5
[2023-06-12 20:04:27] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5
[2023-06-09 19:35:58] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5
[2023-06-07 21:08:03] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5
[2023-06-05 21:47:53] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5

Erik Johnson est dehors pour 1 mois à cause de Sprained Left Finger Injury.

Chicago 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%	P/20	PSG	PSS
1	Yegor Sharangovich	164	70	86	156	42	28	32	152	638	10.97%	24	3059	18.65	22	30	52	218	2	0	2	2	6	4	45.45	1.02	8	26
2	John Klingberg	164	28	98	126	-14	76	194	128	296	9.46%	220	3453	21.06	10	24	34	150	0	0	0	0	6	0	0.00%	0.73	2	10
3	Radek Faksa	164	50	74	124	-18	116	258	264	542	9.23%	30	3132	19.10	14	26	40	134	0	2	2	10	6	2	52.98	0.79	0	0
4	Pavel Zacha	164	54	68	122	22	44	154	216	442	12.22%	26	2954	18.01	16	24	40	94	0	0	0	2	14	4	52.51	0.83	6	20
5	Brandon Saad	162	46	70	116	-16	106	214	202	612	7.52%	20	3036	18.74	10	20	30	126	0	0	0	2	2	4	47.20	0.76	4	8

Chicago 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	A	EG	PS %	PSA
1	Linus Ullmark	108	44	54	8	0.907	2.99	6264	4	6	312	3350	4	4	0.741	54
2	Marc-Andre Fleury	58	28	12	12	0.910	2.64	3410	12	2	150	1662	2	0	0.500	32
3	Semyon Varlamov	4	4	0	0	0.930	2.50	240	0	0	10	142	0	0	0.00%	0
4	Josef Korenar	2	2	0	0	0.857	1.97	61	0	0	2	14	0	0	1.000	6

Chicago 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
Saison régulière
20	82	32	33	0	2	2	5	8	246	247	-1	41	13	17	0	2	1	4	4	123	123	0	41	19	16	0	0	1	1	4	123	124	-1	88	246	429	675	2	4	88	75	76	13	2771	948	872	926	71	2586	744	674	1427	316	64	20.25%	286	48	83.22%	2	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	2014	1396	1930	603	1051	532
20	82	32	33	0	2	2	5	8	246	247	-1	41	13	17	0	2	1	4	4	123	123	0	41	19	16	0	0	1	1	4	123	124	-1	88	246	429	675	2	4	88	75	76	13	2771	948	872	926	71	2586	744	674	1427	316	64	20.25%	286	48	83.22%	2	1686	3234	52.13%	1498	2958	50.64%	692	1309	52.86%	2014	1396	1930	603	1051	532
Total Saison régulière	164	64	66	0	4	4	10	16	492	494	-2	82	26	34	0	4	2	8	8	246	246	0	82	38	32	0	0	2	2	8	246	248	-2	176	492	858	1350	4	8	176	150	152	26	5542	1896	1744	1852	142	5172	1488	1348	2854	632	128	20.25%	572	96	83.22%	4	3372	6468	52.13%	2996	5916	50.64%	1384	2618	52.86%	4029	2793	3860	1206	2103	1065
Séries éliminatoires
Total Séries éliminatoires											0											0	0	0	0	0	0	0	0	0	0	0	0																						0.00%			0.00%				0.00%			0.00%			0.00%	0	0	0	0	0	0

Chicago 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

Chicago 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

	Chicago
	GP: 82 \| W: 39 \| L: 33 \| OTL: 10 \| P: 88 GF: 246 \| GA: 247 \| PP%: 20.25% \| PK%: 83.22% DG: Pierre-Luc Simard \| Morale : 50 \| Moyenne d’équipe : N/A