Rockford IceHogs
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Statistiques de l'Équipe de Carrière

Centre de jeu
	Colorado Avalanche 2-0-2, 6pts	2	Sommaire du match	3	Chicago Blackhawks 2-2-0, 4pts

Team Stats
W1	Séquence	L1
1-0-1	Fiche domicile	1-1-0
1-0-1	Fiche visiteur	1-1-0
2-0-2	Derniers 10 matchs	2-2-0
4.50	Buts par match	3.00
3.00	Buts contre par match	4.50
27.27%	Pourcentage en avantage numérique	14.29%
85.71%	Pourcentage en désavantage numérique	72.73%

Chicago Blackhawks
2-2-0, 4pts

Sommaire du match

Colorado Avalanche
2-0-2, 6pts

Team Stats
L1	Séquence	W1
1-1-0	Fiche domicile	1-0-1
1-1-0	Fiche visiteur	1-0-1
2-2-0	Derniers 10 matchs	2-0-2
3.00	Buts par match	4.50
4.50	Buts contre par match	3.00
14.29%	Pourcentage en avantage numérique	27.27%
72.73%	Pourcentage en désavantage numérique	85.71%

Chicago Blackhawks
2-2-0, 4pts

Jour 10

Dallas Stars
1-1-1, 3pts

Statistiques d’équipe
L1	Séquence	L1
1-1-0	Fiche domicile	1-1-0
1-1-0	Fiche visiteur	0-0-1
2-2-0	10 derniers matchs	1-1-1
3.00	Buts par match	1.67
4.50	Buts contre par match	1.67
14.29%	Pourcentage en avantage numérique	0.00%
72.73%	Pourcentage en désavantage numérique	80.00%

Minnesota Wild
2-1-1, 5pts

Jour 13

Chicago Blackhawks
2-2-0, 4pts

Statistiques d’équipe
W2	Séquence	L1
1-1-0	Fiche domicile	1-1-0
1-0-1	Fiche visiteur	1-1-0
2-1-1	10 derniers matchs	2-2-0
3.25	Buts par match	3.00
2.50	Buts contre par match	3.00
0.00%	Pourcentage en avantage numérique	14.29%
88.89%	Pourcentage en désavantage numérique	72.73%

Detroit Red Wings
0-4-0, 0pts

Jour 17

Chicago Blackhawks
2-2-0, 4pts

Statistiques d’équipe
L4	Séquence	L1
0-2-0	Fiche domicile	1-1-0
0-2-0	Fiche visiteur	1-1-0
0-4-0	10 derniers matchs	2-2-0
2.50	Buts par match	3.00
4.25	Buts contre par match	3.00
12.50%	Pourcentage en avantage numérique	14.29%
55.56%	Pourcentage en désavantage numérique	72.73%

Meneurs d'équipe
Buts Cutter Gauthier 2			Passes Macklin Celebrini 4

Points Cutter Gauthier 5			Plus/Moins Taylor Raddysh 2

Victoires Connor Hellebuyck 2			Pourcentage d’arrêts Connor Hellebuyck 0.856

Statistiques d’équipe
Buts pour 12 3.00 GFG	Tirs pour 143 35.75 Avg	Pourcentage en avantage numérique 14.3% 1 GF	Début de zone offensive 38.2%
Buts contre 18 4.50 GAA	Tirs contre 121 30.25 Avg	Pourcentage en désavantage numérique 72.7%% 3 GA	Début de la zone défensive 36.3%

Informations de l'équipe
	Directeur général	Benoit Paulin
	Entraîneur	Dean Evason
	Division	Central
	Conférence	Western
	Capitaine
	Assistant #1	Tyler Seguin
	Assistant #2
Informations de l’aréna
	Nom	United Center
	Capacité	19,717
	Assistance	18,361
	Billets de saison	7,887
Informations de la formation
	Équipe Pro	23
	Équipe Mineure	30
	Limite Contrat	53 / 72
	Espoirs	37
Plafond salarial
	Cap Salarial de la Saison estimé	113,968,400$
	Plafond salarial disponible	531,600$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	23
Finance
	Revenu annuel à ce jour	3,699,491$
	Dépenses annuelles à ce jour	4,312,200$
	Revenus de la saison estimés	75,839,566$
	Dépenses de la saison estimées	112,656,225$
	Compte bancaire actuel	33,630,287$
	Compte bancaire projeté	-2,043,445$

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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	Macklin Celebrini	0	X				99.00	69	40	74	90	79	90	75	93	72	90	90	70	91	56	54	1	40	78	0	20	1	975,000$
2	Sean Couturier	0	X				99.00	75	46	78	75	83	88	94	83	83	78	74	75	78	90	92	1	40	76	0	33	2	7,750,000$
3	Cutter Gauthier	0		X	X		99.00	70	40	84	85	85	87	77	88	63	77	86	69	86	59	50	1	40	74	0	22	9	13,500,000$
4	Warren Foegele	0		X	X		99.00	74	42	86	78	82	86	86	80	50	69	77	72	78	82	72	1	40	73	0	30	3	3,500,000$
5	Josh Norris	0	X				100.00	69	41	74	78	81	88	81	79	77	76	76	72	78	76	66	1	40	73	0	27	5	7,950,000$
6	Bobby McMann	0	X	X	X		99.00	80	56	72	76	85	86	80	86	50	75	83	72	81	63	53	1	40	73	0	30	2	5,750,000$
7	Vasily Podkolzin	0		X	X		99.00	81	69	69	81	78	83	81	80	49	74	74	73	78	67	58	1	40	72	0	25	1	2,950,000$
8	Tyler Seguin (A)	0	X	X	X		100.00	58	40	80	73	80	88	84	73	81	72	70	67	72	91	87	1	40	71	0	34	2	9,850,000$
9	Marco Kasper	0	X	X	X		100.00	79	49	76	79	80	84	78	78	73	71	71	72	76	62	53	1	40	70	0	22	1	918,333$
10	Emil Heineman	0		X	X		100.00	80	40	88	77	82	84	76	79	46	68	76	69	77	58	50	1	40	70	0	24	1	1,100,000$
11	Taylor Raddysh	0		X	X		100.00	72	41	91	75	82	83	82	74	50	72	69	72	73	68	58	1	40	69	0	28	1	1,500,000$
12	Yegor Chinakhov	0		X	X		100.00	67	40	84	76	83	86	73	75	43	70	70	65	73	63	53	1	40	68	0	25	2	6,250,000$
13	Zach Werenski	0				X	98.00	66	45	87	89	84	92	88	95	40	90	89	85	91	84	80	1	40	81	0	29	3	9,500,000$
14	Jackson LaCombe	0				X	98.00	72	50	88	90	85	92	80	87	40	83	80	91	85	63	57	1	40	79	0	25	4	9,000,000$
15	Jalen Chatfield	0				X	100.00	69	48	84	77	81	89	84	78	40	74	68	82	74	73	63	1	40	74	0	30	1	3,000,000$
16	Erik Gudbranson	0				X	100.00	63	52	76	71	86	87	83	69	40	64	63	76	68	90	86	1	40	72	0	34	3	1,750,000$
17	Ryker Evans	0				X	100.00	69	41	74	83	81	87	76	76	40	71	73	76	77	59	50	1	40	71	0	24	2	2,050,000$
18	Simon Nemec	0				X	100.00	62	42	80	84	81	87	74	78	40	71	75	73	79	59	50	1	40	70	0	22	3	7,250,000$
Rayé
1	Oskar Back	0	X	X			100.00	69	40	92	74	84	82	75	69	61	68	64	74	69	57	50	1	40	67	0	26	5	800,000$
2	Elmer Soderblom	0		X			100.00	76	49	82	67	95	80	75	71	45	66	66	66	68	62	53	1	40	66	0	25	5	1,125,000$
3	Jonas Brodin	0				X	76.60	61	41	88	80	79	90	90	76	40	75	69	88	75	89	79	1	40	76	0	33	1	6,000,000$
Équipe Mineure
1	Walker Duehr	0			X		97.00	66	41	77	67	74	73	70	65	42	61	61	61	65	60	52	1	40	60	0	28	2	875,000$
2	Jaroslav Chmelar	0			X		99.00	70	51	75	67	85	72	63	65	41	61	61	61	64	53	50	1	40	60	0	23	1	942,500$
3	Trevor Connelly	0		X			98.00	60	41	70	69	61	60	60	64	43	64	60	60	63	50	50	1	40	58	0	20	2	975,000$
4	Konsta Helenius	0	X	X	X		98.00	58	42	70	66	62	59	56	65	63	64	60	55	64	50	50	1	40	57	0	20	2	975,000$
5	Tyler Thorpe	0			X		100.00	67	49	60	60	73	60	60	60	42	60	60	60	60	50	50	1	40	56	0	21	2	868,333$
6	Andrew Basha	0		X			99.00	60	42	65	64	61	60	60	60	41	60	60	60	60	50	50	1	40	56	0	20	2	932,500$
7	Tyler Boucher	0			X		100.00	65	46	63	63	69	63	61	60	42	56	54	59	59	51	50	1	40	55	0	23	2	850,000$
8	Spencer Smallman	0	X		X		100.00	59	42	69	61	64	68	66	59	56	56	53	57	58	59	52	1	40	55	0	30	1	850,000$
9	Hayden Hodgson	0		X	X		100.00	60	63	50	58	68	71	69	59	41	52	53	53	56	63	55	1	40	54	0	30	1	850,000$
10	Ronnie Attard	0				X	99.00	62	46	64	65	67	68	66	62	40	58	55	65	61	55	50	1	40	59	0	27	1	850,000$
11	Leon Muggli	0				X	100.00	62	40	70	68	62	60	60	60	40	60	60	65	60	50	50	1	40	58	0	20	2	908,333$
12	Cole Clayton	0				X	100.00	60	44	66	65	65	68	66	61	40	56	52	63	59	54	50	1	40	58	0	26	1	850,000$
13	Travis Mitchell	0				X	100.00	61	55	57	63	68	67	65	62	40	57	53	62	59	54	50	1	40	58	0	26	1	850,000$
14	Marshall Warren	0				X	100.00	58	43	67	68	61	65	63	64	40	61	56	65	63	52	50	1	40	58	0	25	1	850,000$
15	Andrew Gibson	0				X	99.00	64	50	60	64	69	64	62	62	40	60	60	63	60	50	50	1	40	58	0	21	2	925,000$
16	Jake Furlong	0				X	100.00	61	42	68	64	65	63	61	60	40	54	53	60	59	50	50	1	40	56	0	22	1	841,666$
17	Ludvig Jansson	0				X	100.00	56	41	68	65	59	57	55	55	40	52	52	58	56	50	50	1	40	54	0	22	2	955,000$
18	Arttu Hyry	0	X		X		94.33	65	40	74	70	79	77	62	66	80	61	62	67	66	55	50	1	40	61	0	25	1	900,000$
19	Florian Xhekaj	0	X	X			89.07	65	67	51	65	67	63	62	63	60	57	60	62	63	50	50	1	40	57	0	22	2	866,667$
20	Andrei Loshko	0	X				88.51	61	41	70	65	62	62	60	60	41	60	60	60	60	50	50	1	40	56	0	22	2	870,000$
21	Ty Voit (R)	0		X			100.00	60	40	70	65	65	60	60	60	60	60	55	50	60	50	50	1	40	55	0	23	0	0$
22	Lucas Ciona	0		X			100.00	63	51	58	60	69	64	62	59	42	53	53	55	58	51	50	1	40	54	0	23	0	0$
23	Kalle Vaisanen	0		X			100.00	56	40	69	56	62	60	58	54	41	51	51	51	54	51	50	1	40	51	0	23	1	863,333$
24	Bill Zonnon (R)	0	X				100.00	60	40	70	60	50	50	60	50	60	50	50	60	50	50	50	1	40	51	0	20	3	1,075,000$
25	Jack Matier	0				X	100.00	64	42	69	64	70	61	58	57	40	51	52	63	58	51	50	1	40	57	0	23	0	0$
26	Cameron Allen (R)	0				X	100.00	60	40	70	60	50	50	60	50	20	50	50	60	50	50	50	1	40	52	0	21	2	950,000$

	MOYENNE D’ÉQUIPE						98.43	66	45	73	71	73	74	70	69	49	65	64	66	67	60	56	1	40	64

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	Connor Hellebuyck	37	99.00	86	93	95	84	94	91	90	90	90	92	86	85	78	1	40	87	0	33	3	8,500,000$
2	Charlie Lindgren	0	100.00	83	85	85	76	86	82	79	80	80	85	80	85	78	1	40	80	0	32	1	3,000,000$
Rayé
Équipe Mineure
1	Dylan Garand	0	99.00	74	65	70	60	69	70	73	69	71	71	59	52	50	1	40	65	0	24	2	875,000$
2	Hampton Slukynsky (R)	0	100.00	70	60	60	65	65	70	70	70	70	65	60	50	50	1	40	63	0	21	2	1,075,000$
3	Adam Gajan (R)	0	100.00	70	60	60	65	65	70	70	70	70	65	60	50	50	1	40	63	0	22	3	1,050,000$
4	Ty Young	0	100.00	66	56	55	64	62	63	65	62	64	61	55	50	50	1	40	59	0	22	1	825,000$

	MOYENNE D’ÉQUIPE		99.67	75	70	71	69	74	74	75	74	74	73	67	62	59	1	40	70

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dean Evason	78	77	80	80	95	84	1	CAN	61	1	3,000,000$

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	PKM	GT	FO%	FOT	GA	TA	P/20	PSG	PSS	FT	S1	S2
1	Cutter Gauthier	Chicago Blackhawks	LW/RW	4	2	3	5	-3	2	0	8	5	10	4	12	20.00%	3	76	19.18	0	1	1	0	5	2	0	44.44%	9	3	0	1.30	0	1	0	1	0
2	Bobby McMann	Chicago Blackhawks	C/LW/RW	4	1	3	4	-4	4	0	14	3	10	3	15	10.00%	3	74	18.75	0	1	1	0	5	0	0	66.67%	6	1	2	1.07	0	1	0	0	0
3	Macklin Celebrini	Chicago Blackhawks	C	4	0	4	4	-3	2	0	6	1	6	9	5	0%	3	76	19.06	0	0	0	0	5	1	0	44.00%	100	3	0	1.05	1	2	0	0	0
4	Zach Werenski	Chicago Blackhawks	D	4	1	2	3	-1	2	0	2	10	12	2	7	8.33%	8	105	26.44	1	0	1	1	5	8	0	0%	0	5	6	0.57	0	1	0	0	1
5	Warren Foegele	Chicago Blackhawks	LW/RW	4	2	0	2	1	0	0	3	5	14	3	6	14.29%	0	56	14.05	0	0	0	0	3	6	0	20.00%	5	0	0	0.71	0	1	0	0	0
6	Marco Kasper	Chicago Blackhawks	C/LW/RW	1	1	1	2	2	0	0	0	1	1	0	0	100.00%	0	6	6.32	0	0	0	0	0	0	0	0%	1	0	0	6.33	0	0	0	0	0
7	Jalen Chatfield	Chicago Blackhawks	D	4	0	1	1	-2	5	5	4	6	7	1	0	0%	2	80	20.00	0	0	0	0	3	10	0	0%	0	0	2	0.25	0	0	1	0	0
8	Taylor Raddysh	Chicago Blackhawks	LW/RW	1	1	0	1	2	0	0	0	0	2	0	0	50.00%	0	7	7.23	0	0	0	0	0	0	0	0%	0	0	0	2.76	0	0	0	0	0
9	Yegor Chinakhov	Chicago Blackhawks	LW/RW	4	0	1	1	-1	0	0	4	0	4	3	1	0%	2	46	11.55	0	0	0	0	2	1	0	0%	2	0	0	0.43	0	0	0	0	0
10	Tyler Seguin	Chicago Blackhawks	C/LW/RW	4	1	0	1	-2	0	0	4	6	8	2	4	12.50%	2	74	18.59	0	0	0	0	2	4	1	36.36%	11	0	2	0.27	0	0	0	0	1
11	Jackson LaCombe	Chicago Blackhawks	D	4	0	1	1	-3	0	0	3	6	12	3	2	0%	4	92	23.13	0	0	0	0	5	7	0	0%	0	0	3	0.22	0	0	0	0	0
12	Simon Nemec	Chicago Blackhawks	D	4	0	1	1	-2	2	0	2	9	6	0	4	0%	3	78	19.64	0	0	0	0	0	0	0	0%	0	1	1	0.25	1	1	0	0	0
13	Oskar Back	Chicago Blackhawks	C/LW	3	0	1	1	2	0	0	1	2	1	0	0	0%	1	24	8.14	0	0	0	0	0	0	0	64.29%	14	1	0	0.82	0	0	0	0	0
14	Vasily Podkolzin	Chicago Blackhawks	LW/RW	4	1	0	1	-3	0	0	5	4	9	1	14	11.11%	1	73	18.42	0	0	0	1	5	0	0	50.00%	4	3	2	0.27	0	0	0	1	0
15	Erik Gudbranson	Chicago Blackhawks	D	1	0	0	0	-1	0	0	0	1	1	1	0	0%	1	23	23.55	0	0	0	0	3	1	0	0%	0	1	0	0	0	0	0	0	0
16	Jonas Brodin	Chicago Blackhawks	D	3	0	0	0	-2	0	0	1	3	6	0	2	0%	2	49	16.35	0	0	0	0	0	4	0	0%	0	0	3	0	0	0	0	0	0
17	Sean Couturier	Chicago Blackhawks	C	4	0	0	0	-4	0	0	8	4	14	5	4	0%	1	65	16.43	0	0	0	1	5	8	0	65.63%	32	1	1	0	2	2	0	0	0
18	Emil Heineman	Chicago Blackhawks	LW/RW	4	0	0	0	-4	2	0	5	5	4	0	12	0%	0	52	13.15	0	0	0	0	0	6	0	50.00%	4	1	6	0	0	0	0	0	0
19	Josh Norris	Chicago Blackhawks	C	4	0	0	0	-3	6	0	7	3	12	2	9	0%	3	70	17.61	0	0	0	0	2	3	0	60.81%	74	2	2	0	1	1	0	0	0
20	Ryker Evans	Chicago Blackhawks	D	4	0	0	0	-1	2	0	4	3	3	0	2	0%	0	54	13.54	0	0	0	0	0	2	0	0%	0	0	2	0	0	0	0	0	0
21	Elmer Soderblom	Chicago Blackhawks	LW	3	0	0	0	2	0	0	3	0	1	0	0	0%	1	24	8.14	0	0	0	0	0	0	0	0%	0	0	1	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				72	10	18	28	-30	27	5	84	77	143	39	99	6.99%	40	1213	16.85	1	2	3	3	56	70	1	51.91%	262	22	33	0.46	5	10	1	2	2

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	PCT	GAA	MP	GA	SA	SAR	PS %	PSA	ST	BG
1	Connor Hellebuyck	Chicago Blackhawks	4	2	1	0.856	4.25	212	15	104	39	0.727	11	4	0
2	Charlie Lindgren	Chicago Blackhawks	1	0	1	0.824	4.87	37	3	17	8	0	0	0	4
Statistiques d’équipe totales ou en moyenne			5	2	2	0.851	4.32	250	18	121	47		11	4	4

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Pays	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Date de la Dernière Transaction	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Salaire restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire année 2	Salaire année 3	Salaire année 4	Salaire année 5	Salaire année 6	Salaire année 7	Salaire année 8	Salaire année 9	Salaire année 10	Plafond salarial année 2	Plafond salarial année 3	Plafond salarial année 4	Plafond salarial année 5	Plafond salarial année 6	Plafond salarial année 7	Plafond salarial année 8	Plafond salarial année 9	Plafond salarial année 10	Non-échange année 2	Non-échange année 3	Non-échange année 4	Non-échange année 5	Non-échange année 6	Non-échange année 7	Non-échange année 8	Non-échange année 9	Non-échange année 10
Bobby McMann (contrat à 1 volet)	Chicago Blackhawks	C/LW/RW	30	1996-06-15	CAN	No	217 Lbs	6 ft2	No	No	Trade	2026-08-02	No	Yes	2	2026-06-22	False	False	Pro & Farm	5,750,000$	5,538,018$	5,750,000$	5,538,018$	No	5,750,000$	-	-	-	-	-	-	-	-	5,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Charlie Lindgren	Chicago Blackhawks	G	32	1993-12-18	USA	No	190 Lbs	6 ft2	No	No	N/A		No	Yes	1	2025-06-16	False	False	Pro & Farm	3,000,000$	2,889,401$	3,000,000$	2,889,401$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Connor Hellebuyck	Chicago Blackhawks	G	33	1993-05-19	USA	No	207 Lbs	6 ft4	No	No	Free Agent		No	Yes	3	2026-07-24	False	False	Pro & Farm	8,500,000$	8,186,636$	8,500,000$	8,186,636$	No	8,500,000$	8,500,000$	-	-	-	-	-	-	-	8,500,000$	8,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Cutter Gauthier	Chicago Blackhawks	LW/RW	22	2004-01-19	SWE	No	205 Lbs	6 ft2	No	No	N/A		No	Yes	9	2026-09-18	False	False	Pro & Farm	13,500,000$	13,002,304$	13,500,000$	13,002,304$	No	13,500,000$	13,500,000$	13,500,000$	13,500,000$	13,500,000$	13,500,000$	13,500,000$	13,500,000$	-	13,500,000$	13,500,000$	13,500,000$	13,500,000$	13,500,000$	13,500,000$	13,500,000$	13,500,000$	-	No	No	No	No	No	No	No	No	-
Elmer Soderblom	Chicago Blackhawks	LW	25	2001-07-05	SWE	No	252 Lbs	6 ft8	No	No	Trade	2025-06-30	No	Yes	5	2026-05-30	False	False	Pro & Farm	1,125,000$	1,083,525$	1,125,000$	1,083,525$	No	1,125,000$	1,125,000$	1,125,000$	1,125,000$	-	-	-	-	-	1,125,000$	1,125,000$	1,125,000$	1,125,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Emil Heineman	Chicago Blackhawks	LW/RW	24	2001-11-16	SWE	No	204 Lbs	6 ft2	No	No	Trade	2025-01-30	No	Yes	1	2025-07-02	False	False	Pro & Farm	1,100,000$	1,059,447$	1,100,000$	1,059,447$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Erik Gudbranson	Chicago Blackhawks	D	34	1992-01-07	CAN	No	222 Lbs	6 ft5	No	No	Trade	2026-08-02	No	Yes	3	2026-07-27	False	False	Pro & Farm	1,750,000$	1,685,484$	1,750,000$	1,685,484$	No	1,750,000$	1,750,000$	-	-	-	-	-	-	-	1,750,000$	1,750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Jackson LaCombe	Chicago Blackhawks	D	25	2001-01-09	USA	No	208 Lbs	6 ft2	No	No	N/A		No	Yes	4	2026-06-09	False	False	Pro & Farm	9,000,000$	8,668,203$	9,000,000$	8,668,203$	No	9,000,000$	9,000,000$	9,000,000$	-	-	-	-	-	-	9,000,000$	9,000,000$	9,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Jalen Chatfield	Chicago Blackhawks	D	30	1996-05-15	USA	No	209 Lbs	6 ft1	No	No	N/A		No	Yes	1		False	False	Pro & Farm	3,000,000$	2,889,401$	3,000,000$	2,889,401$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jonas Brodin	Chicago Blackhawks	D	33	1993-07-12	SWE	No	196 Lbs	6 ft2	No	No	Trade	2026-07-24	No	Yes	1		False	False	Pro & Farm	6,000,000$	5,778,802$	6,000,000$	5,778,802$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Josh Norris	Chicago Blackhawks	C	27	1999-05-05	USA	No	196 Lbs	6 ft2	No	No	N/A		No	Yes	5		False	False	Pro & Farm	7,950,000$	7,656,912$	7,950,000$	7,656,912$	No	7,950,000$	7,950,000$	7,950,000$	7,950,000$	-	-	-	-	-	7,950,000$	7,950,000$	7,950,000$	7,950,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Macklin Celebrini	Chicago Blackhawks	C	20	2006-06-13	CAN	No	190 Lbs	6 ft0	No	No	Prospect		No	Yes	1	2025-03-14	False	False	Pro & Farm	975,000$	939,055$	975,000$	939,055$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Marco Kasper	Chicago Blackhawks	C/LW/RW	22	2004-04-08	AUT	No	202 Lbs	6 ft1	No	No	N/A		No	Yes	1	2026-05-30	False	False	Pro & Farm	918,333$	884,477$	918,333$	884,477$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Oskar Back	Chicago Blackhawks	C/LW	26	2000-03-12	SWE	No	207 Lbs	6 ft4	No	No	Trade	2026-04-01	No	Yes	5	2026-05-30	False	False	Pro & Farm	800,000$	770,507$	800,000$	770,507$	No	800,000$	800,000$	800,000$	800,000$	-	-	-	-	-	800,000$	800,000$	800,000$	800,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Ryker Evans	Chicago Blackhawks	D	24	2001-12-13	CAN	No	195 Lbs	6 ft0	No	No	N/A		No	Yes	2	2025-08-20	False	False	Pro & Farm	2,050,000$	1,974,424$	2,050,000$	1,974,424$	No	2,050,000$	-	-	-	-	-	-	-	-	2,050,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Sean Couturier (contrat à 1 volet)	Chicago Blackhawks	C	33	1992-12-07	USA	No	210 Lbs	6 ft4	No	No	Trade	2025-09-06	No	Yes	2	2025-09-06	False	False	Pro & Farm	7,750,000$	7,464,286$	7,750,000$	7,464,286$	No	7,750,000$	-	-	-	-	-	-	-	-	7,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Simon Nemec	Chicago Blackhawks	D	22	2004-02-15	SLV	No	190 Lbs	6 ft1	No	No	N/A		No	Yes	3	2026-07-06	False	False	Pro & Farm	7,250,000$	6,982,719$	7,250,000$	6,982,719$	No	7,250,000$	7,250,000$	-	-	-	-	-	-	-	7,250,000$	7,250,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Taylor Raddysh	Chicago Blackhawks	LW/RW	28	1998-02-18	CAN	No	201 Lbs	6 ft2	No	No	Trade	2025-08-05	No	Yes	1	2025-07-03	False	False	Pro & Farm	1,500,000$	1,444,700$	1,500,000$	1,444,700$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Tyler Seguin	Chicago Blackhawks	C/LW/RW	34	1992-01-31	CAN	No	205 Lbs	6 ft2	No	No	N/A		No	Yes	2	2025-03-10	False	False	Pro & Farm	9,850,000$	9,486,866$	9,850,000$	9,486,866$	No	9,850,000$	-	-	-	-	-	-	-	-	9,850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Vasily Podkolzin	Chicago Blackhawks	LW/RW	25	2001-06-24	RUS	No	190 Lbs	6 ft1	No	No	Trade	2025-01-23	No	Yes	1	2026-06-09	False	False	Pro Only	2,950,000$	2,841,244$	2,950,000$	2,841,244$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Warren Foegele	Chicago Blackhawks	LW/RW	30	1996-04-01	CAN	No	205 Lbs	6 ft2	No	No	N/A		No	Yes	3	2026-05-30	False	False	Pro & Farm	3,500,000$	3,370,968$	3,500,000$	3,370,968$	No	3,500,000$	3,500,000$	-	-	-	-	-	-	-	3,500,000$	3,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Yegor Chinakhov	Chicago Blackhawks	LW/RW	25	2001-02-01	RUS	No	201 Lbs	6 ft1	No	No	Trade	2025-01-30	No	Yes	2	2026-07-06	False	False	Pro & Farm	6,250,000$	6,019,585$	6,250,000$	6,019,585$	No	6,250,000$	-	-	-	-	-	-	-	-	6,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Zach Werenski	Chicago Blackhawks	D	29	1997-07-19	USA	No	214 Lbs	6 ft2	No	No	N/A		No	Yes	3		False	False	Pro & Farm	9,500,000$	9,149,770$	9,500,000$	9,149,770$	No	9,500,000$	9,500,000$	-	-	-	-	-	-	-	9,500,000$	9,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	27.52	205 Lbs	6 ft2	2.65	4,955,145$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
113,968,333$	94,525,000$	62,875,000$	32,375,000$	23,375,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Cutter Gauthier	Macklin Celebrini	Bobby McMann	35	1	2	2
2	Warren Foegele	Sean Couturier	Vasily Podkolzin	35	1	2	2
3	Tyler Seguin	Josh Norris	Emil Heineman	20	1	2	2
4	Taylor Raddysh	Marco Kasper	Yegor Chinakhov	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Zach Werenski	Jackson LaCombe	35	1	2	2
2	Jalen Chatfield	Erik Gudbranson	35	1	2	2
3	Ryker Evans	Simon Nemec	20	1	2	2
4	Zach Werenski	Jackson LaCombe	10	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Cutter Gauthier	Macklin Celebrini	Bobby McMann	50	1	2	2
2	Warren Foegele	Sean Couturier	Vasily Podkolzin	50	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Zach Werenski	Jackson LaCombe	50	1	2	2
2	Jalen Chatfield	Erik Gudbranson	50	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Macklin Celebrini	Sean Couturier	50	1	2	2
2	Cutter Gauthier	Bobby McMann	50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Zach Werenski	Jackson LaCombe	50	1	2	2
2	Jalen Chatfield	Erik Gudbranson	50	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Macklin Celebrini	50	1	2	2	Zach Werenski	Jackson LaCombe	50	1	2	2
2	Sean Couturier	50	1	2	2	Jalen Chatfield	Erik Gudbranson	50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Macklin Celebrini	Sean Couturier	50	1	2	2
2	Cutter Gauthier	Bobby McMann	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Zach Werenski	Jackson LaCombe	50	1	2	2
2	Jalen Chatfield	Erik Gudbranson	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Cutter Gauthier	Macklin Celebrini	Bobby McMann	Zach Werenski	Jackson LaCombe

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Cutter Gauthier	Macklin Celebrini	Bobby McMann	Zach Werenski	Jackson LaCombe

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Josh Norris, Tyler Seguin, Emil Heineman	Josh Norris, Tyler Seguin	Emil Heineman

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Ryker Evans, Simon Nemec, Jalen Chatfield	Ryker Evans	Simon Nemec, Jalen Chatfield

Tirs de pénalité
Macklin Celebrini, Sean Couturier, Cutter Gauthier, Bobby McMann, Josh Norris

Gardien
#1 : Connor Hellebuyck, #2 : Charlie Lindgren

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

Lignes de défense personnalisées en prolongation
, , , ,

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

	Total												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT	RI
1	Colorado Avalanche	4	0	2	0	0	0	2	0	12	18	-6	2	0	1	0	0	0	1	0	4	8	-4	2	0	1	0	0	0	1	0	8	10	-2	4	0.500	12	18	30	0	0	3	2	5	5	143	50	43	48	12	121	40	27	84	7	1	14.29%	11	3	72.73%	0	53	99	53.54%	52	94	55.32%	31	66	46.97%	92	56	86	35	70	35
	Total	4	0	2	0	0	0	2	0	12	18	-6	2	0	1	0	0	0	1	0	4	8	-4	2	0	1	0	0	0	1	0	8	10	-2	4	0.500	12	18	30	0	0	3	2	5	5	143	50	43	48	12	121	40	27	84	7	1	14.29%	11	3	72.73%	0	53	99	53.54%	52	94	55.32%	31	66	46.97%	92	56	86	35	70	35
	_Since Last GM Reset	4	0	2	0	0	0	2	0	12	18	-6	2	0	1	0	0	0	1	0	4	8	-4	2	0	1	0	0	0	1	0	8	10	-2	4	0.500	12	18	30	0	0	3	2	5	5	143	50	43	48	12	121	40	27	84	7	1	14.29%	11	3	72.73%	0	53	99	53.54%	52	94	55.32%	31	66	46.97%	92	56	86	35	70	35
	_Vs Conference	4	0	2	0	0	0	2	0	12	18	-6	2	0	1	0	0	0	1	0	4	8	-4	2	0	1	0	0	0	1	0	8	10	-2	4	0.500	12	18	30	0	0	3	2	5	5	143	50	43	48	12	121	40	27	84	7	1	14.29%	11	3	72.73%	0	53	99	53.54%	52	94	55.32%	31	66	46.97%	92	56	86	35	70	35
	_Vs Division	4	0	2	0	0	0	2	0	12	18	-6	2	0	1	0	0	0	1	0	4	8	-4	2	0	1	0	0	0	1	0	8	10	-2	4	0.500	12	18	30	0	0	3	2	5	5	143	50	43	48	12	121	40	27	84	7	1	14.29%	11	3	72.73%	0	53	99	53.54%	52	94	55.32%	31	66	46.97%	92	56	86	35	70	35

			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
4	4	L1	12	18	30	143	121	40	27	84	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	2	0	0	2	0	12	18

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	1	0	0	1	0	4	8

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	1	0	0	1	0	8	10

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
0	2	0	0	2	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
7	1	14.29%	11	3	72.73%	0

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
50	43	48	12	3	2	5	5

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
53	99	53.54%	52	94	55.32%	31	66	46.97%

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
92	56	86	35	70	35

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	13	Chicago Blackhawks	4	Colorado Avalanche	3	W	X	X	Sommaire du match
3	20	Colorado Avalanche	6	Chicago Blackhawks	1	L			Sommaire du match
6	33	Colorado Avalanche	2	Chicago Blackhawks	3	W	X	X	Sommaire du match
8	46	Chicago Blackhawks	4	Colorado Avalanche	7	L			Sommaire du match
10	55	Chicago Blackhawks	-	Dallas Stars	-
13	68	Minnesota Wild	-	Chicago Blackhawks	-
17	89	Detroit Red Wings	-	Chicago Blackhawks	-
19	95	Chicago Blackhawks	-	Nashville Predators	-
22	113	Dallas Stars	-	Chicago Blackhawks	-
26	133	Nashville Predators	-	Chicago Blackhawks	-
30	156	Chicago Blackhawks	-	Nashville Predators	-
31	160	Colorado Avalanche	-	Chicago Blackhawks	-
33	171	Chicago Blackhawks	-	Minnesota Wild	-
36	185	Chicago Blackhawks	-	Boston Bruins	-
37	189	Chicago Blackhawks	-	St-Louis Blues	-
39	202	St-Louis Blues	-	Chicago Blackhawks	-
41	213	Chicago Blackhawks	-	Colorado Avalanche	-
44	228	NewYork Islanders	-	Chicago Blackhawks	-
47	243	Chicago Blackhawks	-	Anaheim Ducks	-
48	251	Vegas Golden Knights	-	Chicago Blackhawks	-
51	269	Chicago Blackhawks	-	SanJose Sharks	-
52	276	Montreal Canadiens	-	Chicago Blackhawks	-
57	294	Chicago Blackhawks	-	Boston Bruins	-
59	304	Seattle Kraken	-	Chicago Blackhawks	-
61	316	Chicago Blackhawks	-	Montreal Canadiens	-
63	328	Buffalo Sabres	-	Chicago Blackhawks	-
65	336	Chicago Blackhawks	-	Buffalo Sabres	-
68	353	Boston Bruins	-	Chicago Blackhawks	-
72	369	Chicago Blackhawks	-	Colorado Avalanche	-
74	381	Washington Capitals	-	Chicago Blackhawks	-
77	399	St-Louis Blues	-	Chicago Blackhawks	-
83	422	Philadelphia Flyers	-	Chicago Blackhawks	-
86	442	Chicago Blackhawks	-	Minnesota Wild	-
88	449	Seattle Kraken	-	Chicago Blackhawks	-
90	463	Chicago Blackhawks	-	Toronto Maple Leafs	-
92	471	Chicago Blackhawks	-	NewYork Rangers	-
94	481	Colorado Avalanche	-	Chicago Blackhawks	-
97	493	Chicago Blackhawks	-	Washington Capitals	-
99	505	Nashville Predators	-	Chicago Blackhawks	-
101	523	Chicago Blackhawks	-	Detroit Red Wings	-
102	531	Detroit Red Wings	-	Chicago Blackhawks	-
107	554	Vegas Golden Knights	-	Chicago Blackhawks	-
111	578	Carolina Hurricanes	-	Chicago Blackhawks	-
116	600	Chicago Blackhawks	-	Detroit Red Wings	-
117	606	Los Angeles Kings	-	Chicago Blackhawks	-
121	624	Chicago Blackhawks	-	SanJose Sharks	-
122	632	Toronto Maple Leafs	-	Chicago Blackhawks	-
125	646	Chicago Blackhawks	-	Nashville Predators	-
127	655	Winnipeg Jets	-	Chicago Blackhawks	-
129	667	Chicago Blackhawks	-	NewYork Islanders	-
131	679	Chicago Blackhawks	-	St-Louis Blues	-
133	686	Minnesota Wild	-	Chicago Blackhawks	-
136	705	Chicago Blackhawks	-	Pittsburgh Penguins	-
137	713	Tampa Bay Lightning	-	Chicago Blackhawks	-
142	733	Chicago Blackhawks	-	St-Louis Blues	-
143	738	SanJose Sharks	-	Chicago Blackhawks	-
147	760	Ottawa Senateurs	-	Chicago Blackhawks	-
149	768	Chicago Blackhawks	-	Ottawa Senateurs	-
151	777	Chicago Blackhawks	-	Minnesota Wild	-
153	788	Minnesota Wild	-	Chicago Blackhawks	-
155	800	Chicago Blackhawks	-	Vancouver Canucks	-
157	812	Vancouver Canucks	-	Chicago Blackhawks	-
159	817	Chicago Blackhawks	-	Seattle Kraken	-
161	827	Chicago Blackhawks	-	Carolina Hurricanes	-
164	843	Winnipeg Jets	-	Chicago Blackhawks	-
166	850	Chicago Blackhawks	-	Tampa Bay Lightning	-
169	869	St-Louis Blues	-	Chicago Blackhawks	-
172	888	Detroit Red Wings	-	Chicago Blackhawks	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
176	905	Chicago Blackhawks	-	Los Angeles Kings	-
177	916	Pittsburgh Penguins	-	Chicago Blackhawks	-
180	930	Chicago Blackhawks	-	NewYork Islanders	-
182	942	Anaheim Ducks	-	Chicago Blackhawks	-
185	954	Chicago Blackhawks	-	Los Angeles Kings	-
186	962	Chicago Blackhawks	-	Vancouver Canucks	-
188	972	Nashville Predators	-	Chicago Blackhawks	-
190	985	Chicago Blackhawks	-	Detroit Red Wings	-
191	994	Chicago Blackhawks	-	Dallas Stars	-
193	1002	Dallas Stars	-	Chicago Blackhawks	-
195	1012	Chicago Blackhawks	-	Vegas Golden Knights	-
196	1018	Chicago Blackhawks	-	Philadelphia Flyers	-
198	1034	NewYork Rangers	-	Chicago Blackhawks	-
204	1054	Chicago Blackhawks	-	Dallas Stars	-
205	1063	Anaheim Ducks	-	Chicago Blackhawks	-
209	1082	Colorado Avalanche	-	Chicago Blackhawks	-
212	1098	Chicago Blackhawks	-	Winnipeg Jets	-
215	1111	Dallas Stars	-	Chicago Blackhawks	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	7717	5000	2000	4000	1000
Prix des billets	90	60	35	25	200
Assistance	12,974	9,817	4,000	8,000	1,931
Attendance PCT	84.06%	98.17%	100.00%	100.00%	96.55%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité de l’aréna	Popularité de l’équipe
41	18361 - 93.12%	1,849,746$	3,699,491$	19717	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
4,312,200$	113,968,333$	113,968,333$	3,000,000$0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
525,200$	4,201,600$	0$	23	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
75,839,566$	209	539,025$	112,656,225$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
115,977,747$	33,630,287$	-2,043,445$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
113,968,400$	531,600$	114,500,000$	29,368,400$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Cutter Gauthier	AGE:22	PO:1	OV:74
Warren Foegele	AGE:30	PO:1	OV:73
Bobby McMann	AGE:30	PO:1	OV:73
Vasily Podkolzin	AGE:25	PO:1	OV:72
Tyler Seguin	AGE:34	PO:1	OV:71
Marco Kasper	AGE:22	PO:1	OV:70
Emil Heineman	AGE:24	PO:1	OV:70
Taylor Raddysh	AGE:28	PO:1	OV:69
Yegor Chinakhov	AGE:25	PO:1	OV:68
Oskar Back	AGE:26	PO:1	OV:67
Elmer Soderblom	AGE:25	PO:1	OV:66
Trevor Connelly	AGE:20	PO:1	OV:58
Florian Xhekaj	AGE:22	PO:1	OV:57
Konsta Helenius	AGE:20	PO:1	OV:57
Andrew Basha	AGE:20	PO:1	OV:56
Ty Voit (R)	AGE:23	PO:1	OV:55
Lucas Ciona	AGE:23	PO:1	OV:54
Hayden Hodgson	AGE:30	PO:1	OV:54
Kalle Vaisanen	AGE:23	PO:1	OV:51

Macklin Celebrini	AGE:20	PO:1	OV:78
Sean Couturier	AGE:33	PO:1	OV:76
Josh Norris	AGE:27	PO:1	OV:73
Bobby McMann	AGE:30	PO:1	OV:73
Tyler Seguin	AGE:34	PO:1	OV:71
Marco Kasper	AGE:22	PO:1	OV:70
Oskar Back	AGE:26	PO:1	OV:67
Arttu Hyry	AGE:25	PO:1	OV:61
Florian Xhekaj	AGE:22	PO:1	OV:57
Konsta Helenius	AGE:20	PO:1	OV:57
Andrei Loshko	AGE:22	PO:1	OV:56
Spencer Smallman	AGE:30	PO:1	OV:55
Bill Zonnon (R)	AGE:20	PO:1	OV:51

Cutter Gauthier	AGE:22	PO:1	OV:74
Warren Foegele	AGE:30	PO:1	OV:73
Bobby McMann	AGE:30	PO:1	OV:73
Vasily Podkolzin	AGE:25	PO:1	OV:72
Tyler Seguin	AGE:34	PO:1	OV:71
Marco Kasper	AGE:22	PO:1	OV:70
Emil Heineman	AGE:24	PO:1	OV:70
Taylor Raddysh	AGE:28	PO:1	OV:69
Yegor Chinakhov	AGE:25	PO:1	OV:68
Arttu Hyry	AGE:25	PO:1	OV:61
Walker Duehr	AGE:28	PO:1	OV:60
Jaroslav Chmelar	AGE:23	PO:1	OV:60
Konsta Helenius	AGE:20	PO:1	OV:57
Tyler Thorpe	AGE:21	PO:1	OV:56
Tyler Boucher	AGE:23	PO:1	OV:55
Spencer Smallman	AGE:30	PO:1	OV:55
Hayden Hodgson	AGE:30	PO:1	OV:54

Défense #1

Défense #2

Gardien

Zach Werenski	AGE:29	PO:1	OV:81
Jackson LaCombe	AGE:25	PO:1	OV:79
Jonas Brodin	AGE:33	PO:1	OV:76
Jalen Chatfield	AGE:30	PO:1	OV:74
Erik Gudbranson	AGE:34	PO:1	OV:72
Ryker Evans	AGE:24	PO:1	OV:71
Simon Nemec	AGE:22	PO:1	OV:70
Ronnie Attard	AGE:27	PO:1	OV:59
Leon Muggli	AGE:20	PO:1	OV:58

Cole Clayton	AGE:26	PO:1	OV:58
Travis Mitchell	AGE:26	PO:1	OV:58
Marshall Warren	AGE:25	PO:1	OV:58
Andrew Gibson	AGE:21	PO:1	OV:58
Jack Matier	AGE:23	PO:1	OV:57
Jake Furlong	AGE:22	PO:1	OV:56
Ludvig Jansson	AGE:22	PO:1	OV:54
Cameron Allen (R)	AGE:21	PO:1	OV:52

Connor Hellebuyck	AGE:33	PO:1	OV:87
Charlie Lindgren	AGE:32	PO:1	OV:80
Dylan Garand	AGE:24	PO:1	OV:65
Adam Gajan (R)	AGE:22	PO:1	OV:63
Hampton Slukynsky (R)	AGE:21	PO:1	OV:63
Ty Young	AGE:22	PO:1	OV:59

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	Date de la Dernière Transaction
Alexander Weiermair	Chicago Blackhawks	2025	213
Bruno Izdan	Chicago Blackhawks	13	116
Clarke Caswell	Chicago Blackhawks	12	146
Connor Kelley	Chicago Blackhawks	0	0
Conrad Fondrk	Chicago Blackhawks	13	73	2025-07-01
Daimon Gardner	Chicago Blackhawks	10	124
Everett Baldwin	Chicago Blackhawks	13	167
Filip Eriksson	Chicago Blackhawks	11	183
Jackson Smith	Chicago Blackhawks	13	17
Jakub Fibigr	Chicago Blackhawks	12	155
Joni Jurmo	Chicago Blackhawks	0	0
Juha Jatkola	Chicago Blackhawks	11	79
Justin Kipkie	Chicago Blackhawks	11	177
Love Harenstam	Chicago Blackhawks	13	160
Lucas Beckman	Chicago Blackhawks	13	82
Mans Goos	Chicago Blackhawks	13	156
Matthew Hlacar	Chicago Blackhawks	2025	239
Matvei Shuravin	Chicago Blackhawks	12	87
Max Vig	Chicago Blackhawks	13	134
Michal Svrcek	Chicago Blackhawks	13	97
Nikita Artamonov	Chicago Blackhawks	12	55
Oliver Okuliar	Chicago Blackhawks	12	174
Oskar Vuollet	Chicago Blackhawks	12	105
Ryan Cameron	Chicago Blackhawks	0	0
Ryerson Leenders	Chicago Blackhawks	12	159
Samuel Jung	Chicago Blackhawks	13	194
Sean Barnhill	Chicago Blackhawks	13	86
Theodor Hallquisth	Chicago Blackhawks	13	74
Tobias Trejbal	Chicago Blackhawks	14	45
Tomas Lavoie	Chicago Blackhawks	12	99
Vadim Zherenko	Chicago Blackhawks	0	0
Vertti Svensk	Chicago Blackhawks	14	150
Viggo Björk	Chicago Blackhawks	14	7
Vladislav Firstov	Chicago Blackhawks	0	0
Wiggo Sorensson	Chicago Blackhawks	14	58	2026-07-05
William Whitelaw	Chicago Blackhawks	11	70
Zach Lansard	Chicago Blackhawks	14	74

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7	R8
15	CHI	MTL CHI STL	CHI	CHI
16	CHI	CHI VEG		CHI
17	CHI	CHI	CHI	CHI
18	CHI	CHI	CHI	CHI	CHI	CHI	CHI	CHI
19	CHI	CHI	CHI	CHI	CHI	CHI	CHI	CHI
Choix au repêchage conditionnel

Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.

Chicago Blackhawks Historique de transactions

[2026-10-12 22:44:57] TRADE : From Chicago Blackhawks to Montreal Canadiens : Justin Danforth (64), Y:16-RND:8-CHI, Y:17-RND:6-CHI, Y:17-RND:7-CHI, Y:17-RND:8-CHI.
[2026-10-11 01:13:01] Marc Johnstone was released.
[2026-10-11 01:13:01] Luke Kunin was released.
[2026-10-11 01:13:01] Sonny Milano was released.
[2026-10-11 01:13:01] Mason Morelli was released.
[2026-10-11 01:13:01] Marc McLaughlin was released.
[2026-10-11 01:13:01] David Perron was released.
[2026-10-11 01:13:01] Brian Pinho was released.
[2026-09-28 23:57:51] Vadim Zherenko has been added to Chicago Blackhawks.
[2026-09-28 23:57:41] Joni Jurmo has been added to Chicago Blackhawks.
[2026-09-28 23:57:17] Dysin Mayo was released.
[2026-09-28 23:57:17] Chicago Blackhawks paid $0 to release Dysin Mayo.
[2026-09-28 23:57:04] Ben Gleason was released.
[2026-09-28 23:57:04] Chicago Blackhawks paid $0 to release Ben Gleason.
[2026-09-28 23:56:53] Vadim Zherenko was released.
[2026-09-28 23:56:53] Chicago Blackhawks paid $0 to release Vadim Zherenko.
[2026-09-28 23:56:40] Joni Jurmo was released.
[2026-09-28 23:56:40] Chicago Blackhawks paid $0 to release Joni Jurmo.
[2026-09-25 22:36:27] Urho Vaakanainen was released.
[2026-09-25 22:36:27] Chicago Blackhawks paid $0 to release Urho Vaakanainen.
[2026-08-02 23:16:43] TRADE : From Montreal Canadiens to Chicago Blackhawks : Bobby McMann (73), Erik Gudbranson (70), Y:15-RND:2-STL, Y:16-RND:2-VEG.
[2026-08-02 23:16:43] TRADE : From Chicago Blackhawks to Montreal Canadiens : Brandon Montour (76), Jack Roslovic (74), Y:16-RND:6-CHI, Y:16-RND:7-CHI, Y:17-RND:5-CHI.
[2026-07-29 23:12:59] TRADE : From Montreal Canadiens to Chicago Blackhawks : Y:15-RND:4-CHI.
[2026-07-29 23:12:59] TRADE : From Chicago Blackhawks to Montreal Canadiens : Anton Forsberg (83).
[2026-07-24 23:29:03] Connor Hellebuyck signed with Chicago Blackhawks for $8,500,000 for 3 year(s).
[2026-07-24 23:29:03] Connor Hellebuyck was added to Chicago Blackhawks.
[2026-07-24 23:12:29] TRADE : From Montreal Canadiens to Chicago Blackhawks : Trevor Connelly (58), Jonas Brodin (76), Y:15-RND:2-MTL.
[2026-07-24 23:12:29] TRADE : From Chicago Blackhawks to Montreal Canadiens : Shea Theodore (76), Y:15-RND:4-CHI, Y:16-RND:3-CHI.
[2026-07-22 22:17:10] Rockford IceHogs hired Pascal Vincent for $1,000,000 for 3 year(s).
[2026-07-13 23:06:55] Ryan Cameron has been added to Chicago Blackhawks.
[2026-07-10 23:52:10] Chicago Blackhawks drafts Vertti Svensk as the #150 overall pick in the Entry Draft of year 14.
[2026-07-05 20:34:34] Chicago Blackhawks drafts Zach Lansard as the #74 overall pick in the Entry Draft of year 14.
[2026-07-05 20:28:42] TRADE : From NewYork Islanders to Chicago Blackhawks : Wiggo Sorensson (P).
[2026-07-05 20:28:42] TRADE : From Chicago Blackhawks to NewYork Islanders : Martin Psohlavec (P).
[2026-07-05 20:26:30] Chicago Blackhawks drafts Martin Psohlavec as the #59 overall pick in the Entry Draft of year 14.
[2026-07-05 20:09:17] Chicago Blackhawks drafts Tobias Trejbal as the #45 overall pick in the Entry Draft of year 14.
[2026-07-05 19:36:02] Chicago Blackhawks drafts Viggo Björk as the #7 overall pick in the Entry Draft of year 14.
[2026-06-07 21:02:39] Pascal Vincent contract with Rockford IceHogs has ended.
[2026-06-07 14:17:42] Hampton Slukynsky was added to Chicago Blackhawks.
[2026-06-07 14:15:52] Bill Zonnon was added to Chicago Blackhawks.
[2026-06-07 14:14:08] Andrew Basha was added to Chicago Blackhawks.
[2026-06-07 14:11:12] Ludvig Jansson was added to Chicago Blackhawks.
[2026-06-07 14:07:19] Cameron Allen was added to Chicago Blackhawks.
[2026-06-07 14:05:26] Andrew Gibson was added to Chicago Blackhawks.
[2026-06-07 13:59:58] Adam Gajan was added to Chicago Blackhawks.

Jonas Brodin est dehors pour 3 semaines à cause de Torn Left Knee Ligaments Injury.
Andrei Loshko est dehors pour 1 semaine à cause de Strained Right Knee Injury.
Arttu Hyry est dehors pour 1 jours à cause de Right Hand Injury.
Florian Xhekaj est dehors pour 6 jours à cause de Sprained Right Finger Injury.

Chicago Blackhawks Leaders statistiques des joueurs (saison régulière)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Chicago Blackhawks Leaders des statistiques des gardiens (saison régulière)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Chicago Blackhawks 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

Chicago Blackhawks 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 Blackhawks 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 Blackhawks
	GP: 4 \| W: 2 \| L: 2 \| OTL: 0 \| P: 4 GF: 12 \| GA: 18 \| PP%: 14.29% \| PK%: 72.73% DG: Benoit Paulin \| Morale : 40 \| Moyenne d’équipe : 73 Prochains matchs #55 vs Dallas Stars