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

Centre de jeu
	Chicago 5-5-0, 10pts	3	FINAL	5	San Jose 16-9-0, 32pts

Team Stats
L2	Streak	W3
2-3-0	Home Record	7-4-0
3-2-0	Away Record	9-5-0
5-4-1	Last 10 Games	6-4-0
3.40	Buts par match	3.04
2.80	Buts contre par match	3.16
15.38%	Pourcentage en avantage numérique	15.48%
87.88%	Pourcentage en désavantage numérique	77.03%

San Jose
16-9-0, 32pts

FINAL

Chicago
5-5-0, 10pts

Team Stats
W3	Streak	L2
7-4-0	Home Record	2-3-0
9-5-0	Away Record	3-2-0
6-4-0	Last 10 Games	5-4-1
3.04	Buts par match	3.40
3.16	Buts contre par match	2.80
15.48%	Pourcentage en avantage numérique	15.38%
77.03%	Pourcentage en désavantage numérique	87.88%

Meneurs d'équipe
	Buts Radek Faksa 5	Passes Yegor Sharangovich 8

	Points Yegor Sharangovich 9	Plus/Moins Frederick Gaudreau 7

	Victoires Marc-Andre Fleury 4	Pourcentage d’arrêts Linus Ullmark 0.911

Statistiques d’équipe
Buts pour 34 3.40 GFG	Tirs pour 337 33.70 Avg	Pourcentage en avantage numérique 15.4% 4 GF	Début de zone offensive 42.9%
Buts contre 28 2.80 GAA	Tirs contre 287 28.70 Avg	Pourcentage en désavantage numérique 87.9%% 4 GA	Début de la zone défensive 38.7%

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	17,428
	Billets de saison	9,547
Informations de la formation
	Équipe Pro	22
	Équipe Mineure	18
	Limite contact	40 / 50
	Espoirs	29
Plafond salarial
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	65,000,000$
	Valeur du plafond salarial spécial	1,200,000$
	Joueurs Inclus dans le plafond salarial	23
Finance
	Revenu annuel à ce jour	9,739,339$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	32,654,936$
	Compte bancaire projeté	32,654,936$
Historique d'équipe
	Saison actuelle	5-5
	Historique	39-33-10 (0.476%)
	Apparitions en séries éliminatoires	1
	Historique en séries éliminatoires (W-L)	5-5
	Coupe Stanley	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 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	71	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	91	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	70	32	99	87	90	89	88	82	74	81	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	78	67	85	41	41	87	50	0	0	22	2	900,000$
9	Frederick Gaudreau (A)	X		X		100.00	72	27	98	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	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$
12	John Klingberg				X	100.00	75	34	78	87	80	99	91	71	50	71	67	84	84	61	48	63	50	0	0	28	1	4,500,000$
13	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$
14	Ron Hainsey				X	100.00	63	32	88	49	82	80	97	48	50	47	49	90	67	99	99	1	50	0	0	40	2	900,000$
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	56	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	50	45	58	50	0	0	26	3	900,000$
Rayé
1	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$
2	Erik Johnson				X	100.00	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	72	25	98	82	81	83	95	72	70	66	76	67	79	61	64	46	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	74	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	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$
14	Daniel Brickley (R)				X	100.00	73	32	81	78	93	79	85	44	53	44	44	81	73	45	44	51	50	0	0	26	3	550,000$
15	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$
16	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					100.00	76	34	88	80	84	87	90	71	67	70	69	79	80	60	56	55	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	79	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	81	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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	FO%	FOT	P/20	S1	S2	S3
1	Yegor Sharangovich	Chicago	C/LW/RW	10	1	8	9	3	0	0	3	34	7	30	2.94%	2	188	18.84	0	2	2	5	22	0	10	0	50.00%	12	0.96	0	0	0
2	John Klingberg	Chicago	D	10	1	7	8	0	16	12	9	12	4	10	8.33%	11	218	21.87	1	0	1	5	23	0	6	1	0.00%	0	0.73	0	0	0
3	J.T. Miller	Chicago	C/LW/RW	10	2	6	8	-2	2	13	6	26	6	20	7.69%	2	159	15.94	0	1	1	8	22	0	0	1	50.00%	18	1.00	0	0	2
4	Frederick Gaudreau	Chicago	C/RW	10	2	6	8	7	2	3	14	11	4	7	18.18%	0	113	11.32	0	0	0	0	0	1	35	0	58.17%	153	1.41	0	0	1
5	Brandon Saad	Chicago	LW/RW	10	3	4	7	-2	2	6	10	32	7	22	9.38%	1	178	17.83	1	1	2	5	23	0	1	1	40.00%	15	0.79	0	1	1
6	Radek Faksa	Chicago	C/LW	10	5	2	7	3	6	19	15	27	13	27	18.52%	0	186	18.61	0	0	0	2	22	1	9	0	52.63%	228	0.75	1	0	0
7	Brady Skjei	Chicago	D	10	3	4	7	3	8	23	11	15	8	7	20.00%	12	227	22.79	2	0	2	8	22	0	25	0	0.00%	0	0.61	2	0	0
8	Pavel Zacha	Chicago	C/LW	10	1	5	6	-3	10	14	19	23	11	24	4.35%	1	187	18.79	0	2	2	3	22	0	8	0	51.71%	234	0.64	0	0	1
9	Brett Pesce	Chicago	D	10	1	5	6	4	2	7	4	18	4	8	5.56%	16	238	23.85	0	0	0	7	22	0	30	0	0.00%	0	0.50	2	0	0
10	Joel Armia	Chicago	RW	10	1	4	5	4	4	14	8	32	11	20	3.13%	1	188	18.80	0	0	0	8	23	0	14	0	47.06%	17	0.53	0	0	0
11	Martin Necas	Chicago	RW	10	1	4	5	-2	4	7	11	28	7	21	3.57%	1	187	18.77	0	1	1	3	22	0	0	1	55.56%	9	0.53	0	0	0
12	Christian Djoos	Chicago	D	10	2	3	5	2	6	10	7	7	5	6	28.57%	5	150	15.06	0	0	0	0	0	0	0	0	0.00%	0	0.66	0	0	0
13	Michael Grabner	Chicago	LW/RW	10	4	1	5	-2	0	1	6	20	5	12	20.00%	2	126	12.69	0	0	0	0	1	0	0	1	35.71%	14	0.79	0	0	0
14	Mikael Backlund	Chicago	C/RW	10	2	2	4	-1	2	9	13	16	4	10	12.50%	0	164	16.43	0	0	0	0	0	0	37	0	50.60%	166	0.49	0	1	0
15	James Van Riemsdyk	Chicago	LW/RW	10	2	1	3	6	2	6	5	11	0	10	18.18%	1	76	7.69	0	0	0	0	0	0	0	0	16.67%	6	0.78	0	0	0
16	Nate Schmidt	Chicago	D	9	1	2	3	1	0	4	3	4	0	2	25.00%	6	117	13.06	0	0	0	0	0	0	19	0	0.00%	0	0.51	0	0	0
17	Olli Maatta	Chicago	D	10	0	2	2	2	4	14	9	12	6	5	0.00%	13	214	21.41	0	0	0	0	1	0	27	0	0.00%	0	0.19	0	0	0
18	Ron Hainsey	Chicago	D	3	1	0	1	1	0	3	1	4	0	2	25.00%	3	46	15.63	0	0	0	0	0	0	6	0	0.00%	0	0.43	0	0	1
19	Colin Wilson	Chicago	C/LW/RW	8	1	0	1	6	0	2	0	5	0	3	20.00%	0	60	7.50	0	0	0	0	0	0	0	0	66.67%	3	0.33	0	0	0
Statistiques d’équipe totales ou en moyenne				180	34	66	100	30	70	167	154	337	102	246	10.09%	77	3031	16.84	4	7	11	54	231	2	235	5	52.11%	875	0.66	5	2	6

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Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	GA	SA	A	EG	PS %	ST	BG	S2
1	Marc-Andre Fleury	Chicago	8	4	4	0	0.904	2.76	478	22	230	1	1	0.00%	8	2	1
2	Linus Ullmark	Chicago	2	1	0	1	0.911	2.16	139	5	56	0	0	0.00%	2	8	0
Statistiques d’équipe totales ou en moyenne			10	5	4	1	0.906	2.63	617	27	286	1	1		10	10	1

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Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	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	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	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	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	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	2	Pro & Farm	700,000$	700,000$	0$	No	700,000$		Lien
Erik Johnson (contrat à 1 volet)	Chicago	D	33	1988-03-21	No	238 Lbs	6 ft4	No	No	Yes	1	Pro & Farm	1,500,000$	1,500,000$	0$	No
Frederick Gaudreau (contrat à 1 volet)	Chicago	C/RW	28	1993-05-01	No	180 Lbs	6 ft0	No	No	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	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	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	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	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	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	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	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	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	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	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	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	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	2	Pro & Farm	7,500,000$	7,500,000$	0$	No	7,500,000$		Lien
Ron Hainsey	Chicago	D	40	1981-03-24	No	205 Lbs	6 ft3	No	No	No	2	Pro & Farm	900,000$	900,000$	0$	No	900,000$		Lien
Yegor Sharangovich	Chicago	C/LW/RW	23	1998-06-06	No	198 Lbs	6 ft2	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
22	28.82	206 Lbs	6 ft2	1.82	2,876,136$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
63,275,000$	36,500,000$	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	Joel Armia	29	0	2	3
2	Brandon Saad	Pavel Zacha	Martin Necas	29	0	1	4
3	Michael Grabner	Mikael Backlund	J.T. Miller	25	0	1	4
4	James Van Riemsdyk	Frederick Gaudreau	Martin Necas	17	0	4	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Brady Skjei	Brett Pesce	35	0	3	2
2	Olli Maatta	John Klingberg	35	0	3	2
3	Christian Djoos	Ron Hainsey	20	0	3	2
4	Christian Djoos	Nate Schmidt	10	0	3	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	Yegor Sharangovich	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	Ron Hainsey	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	Ron Hainsey	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, Pavel Zacha, J.T. Miller	Joel Armia, Michael Grabner	Joel Armia

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
John Klingberg, Olli Maatta, Christian Djoos	Olli Maatta	Ron Hainsey, Olli Maatta

Tirs de pénalité
Martin Necas, Yegor Sharangovich, Pavel Zacha, John Klingberg, James Van Riemsdyk

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

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	Nashville	5	4	1	0	0	0	0	0	18	11	7	2	1	1	0	0	0	0	0	4	4	0	3	3	0	0	0	0	0	0	14	7	7	8	0.800	18	35	53	0	0	5	10	3	0	169	62	53	54	0	148	37	38	78	13	3	23.08%	17	2	88.24%	0	217	375	57.87%	156	339	46.02%	83	161	51.55%	119	84	118	36	62	29
2	San Jose	5	1	4	0	0	0	0	0	16	17	-1	3	1	2	0	0	0	0	0	10	8	2	2	0	2	0	0	0	0	0	6	9	-3	2	0.200	16	31	47	1	0	6	7	3	0	168	58	53	52	5	139	40	32	89	13	1	7.69%	16	2	87.50%	0	217	375	57.87%	156	339	46.02%	83	161	51.55%	124	84	125	38	69	34
	Total	10	5	5	0	0	0	0	0	34	28	6	5	2	3	0	0	0	0	0	14	12	2	5	3	2	0	0	0	0	0	20	16	4	10	0.500	34	66	100	1	0	11	17	6	0	337	120	106	106	5	287	77	70	167	26	4	15.38%	33	4	87.88%	0	217	375	57.87%	156	339	46.02%	83	161	51.55%	243	168	243	75	132	64
	_Since Last GM Reset	10	5	5	0	0	0	0	0	34	28	6	5	2	3	0	0	0	0	0	14	12	2	5	3	2	0	0	0	0	0	20	16	4	10	0.500	34	66	100	1	0	11	17	6	0	337	120	106	106	5	287	77	70	167	26	4	15.38%	33	4	87.88%	0	217	375	57.87%	156	339	46.02%	83	161	51.55%	243	168	243	75	132	64
	_Vs Conference	10	5	5	0	0	0	0	0	34	28	6	5	2	3	0	0	0	0	0	14	12	2	5	3	2	0	0	0	0	0	20	16	4	10	0.500	34	66	100	1	0	11	17	6	0	337	120	106	106	5	287	77	70	167	26	4	15.38%	33	4	87.88%	0	217	375	57.87%	156	339	46.02%	83	161	51.55%	243	168	243	75	132	64
	_Vs Division	5	4	1	0	0	0	0	0	18	11	7	2	1	1	0	0	0	0	0	4	4	0	3	3	0	0	0	0	0	0	14	7	7	8	0.800	18	35	53	0	0	5	10	3	0	169	62	53	54	0	148	37	38	78	13	3	23.08%	17	2	88.24%	0	217	375	57.87%	156	339	46.02%	83	161	51.55%	119	84	118	36	62	29

			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
10	10	L2	34	66	100	337	287	77	70	167	1	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	5	5	0	0	0	0	34	28

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	2	3	0	0	0	0	14	12

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	3	2	0	0	0	0	20	16

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
5	4	0	1	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
26	4	15.38%	33	4	87.88%	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
120	106	106	5	11	17	6	0

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
217	375	57.87%	156	339	46.02%	83	161	51.55%

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
243	168	243	75	132	64

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	Lien
2 - 2022-11-25	6	Chicago	6	Nashville	3	AW		Sommaire du match
4 - 2022-11-26	14	Chicago	3	Nashville	1	AW		Sommaire du match
6 - 2022-11-27	22	Nashville	1	Chicago	2	BW		Sommaire du match
8 - 2022-11-28	30	Nashville	3	Chicago	2	BL		Sommaire du match
10 - 2022-11-29	38	Chicago	5	Nashville	3	AW		Sommaire du match
16 - 2022-12-02	59	San Jose	3	Chicago	2	BL		Sommaire du match
18 - 2022-12-03	63	San Jose	1	Chicago	6	BW		Sommaire du match
20 - 2022-12-04	67	Chicago	3	San Jose	4	AL	X	Sommaire du match
22 - 2022-12-05	71	Chicago	3	San Jose	5	AL		Sommaire du match
24 - 2022-12-06	75	San Jose	4	Chicago	2	BL		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	29,540	24,413	10,413	17,591	5,183
Attendance PCT	82.06%	70.31%	74.97%	63.32%	74.63%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
36	17428 - 73.02%	1,947,868$	9,739,339$	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
0$	67,275,000$	67,275,000$	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
0$	0$	0$	23	0

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

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	32,654,936$	32,654,936$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
0$	65,000,000$	65,000,000$	-40,000,000$

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:46	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:46	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:58	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

La base de données des nouvelles du STHS n'a pas été trouvée. Veuillez en créer une de la section Gestion des nouvelles de la ligue ou du STHS.

Chicago Historique de transactions

[2023-08-04 18:19:18] - Chicago was eliminated at round 2 of year 20.
[2023-07-26 20:29:56] - Rockford was eliminated at round 1 of year 20.
[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.

[2023-08-12 13:17:57] Erik Johnson from Chicago is back from Sprained Left Finger Injury.
[2023-08-04 18:13:59] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5
[2023-08-03 18:12:42] Last 7 Days Pro Star : 1 - Neal Pionk of Anaheim (2-3-5) / 2 - Bo Horvat of Detroit (4-3-7) / 3 - Radek Faksa of Chicago (3-1-4)
[2023-08-03 18:10:51] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5
[2023-08-03 02:24:54] Nate Schmidt from Chicago is back from Right Knee Injury.
[2023-08-03 02:24:38] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5
[2023-08-03 02:24:38] Ron Hainsey of Chicago was sent to pro.
[2023-08-01 18:35:23] Game 63 - Nate Schmidt from Chicago is injured (Right Knee) and is out for 1 week.
[2023-08-01 18:32:10] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5
[2023-07-31 22:41:52] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5
[2023-07-26 20:26:17] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5
[2023-07-25 23:15:09] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5
[2023-07-24 19:44:26] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5
[2023-07-22 02:33:35] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5
[2023-07-18 20:22:16] Successfully loaded Chicago lines done with STHS Client - 3.3.5.5
[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

Pas de blessure ou de suspension.

Chicago Leaders statistiques (saison régulière)

Afficher ou masquer des colonnes

#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	P/20	PSG	PSS
1	Yegor Sharangovich	82	35	43	78	21	14	16	76	319	10.97%	12	1529	18.65	11	15	26	109	1	0	1	1	3	2	45.45	1.02	4	13
2	John Klingberg	82	14	49	63	-7	38	97	64	148	9.46%	110	1726	21.06	5	12	17	75	0	0	0	0	3	0	0.00%	0.73	1	5
3	Radek Faksa	82	25	37	62	-9	58	129	132	271	9.23%	15	1566	19.10	7	13	20	67	0	1	1	5	3	1	52.98	0.79	0	0
4	Pavel Zacha	82	27	34	61	11	22	77	108	221	12.22%	13	1477	18.01	8	12	20	47	0	0	0	1	7	2	52.51	0.83	3	10
5	Brandon Saad	81	23	35	58	-8	53	107	101	306	7.52%	10	1518	18.74	5	10	15	63	0	0	0	1	1	2	47.20	0.76	2	4

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	54	22	27	4	0.907	2.99	3132	2	3	156	1675	2	2	0.741	27
2	Marc-Andre Fleury	29	14	6	6	0.910	2.64	1705	6	1	75	831	1	0	0.500	16
3	Semyon Varlamov	2	2	0	0	0.930	2.50	120	0	0	5	71	0	0	0.00%	0
4	Josef Korenar	1	1	0	0	0.857	2.00	30	0	0	1	7	0	0	1.000	3

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
Total Saison régulière	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
Séries éliminatoires
20	10	5	5	0	0	0	0	0	34	28	6	5	2	3	0	0	0	0	0	14	12	2	5	3	2	0	0	0	0	0	20	16	4	10	34	66	100	1	0	11	17	6	0	337	120	106	106	5	287	77	70	167	26	4	15.38%	33	4	87.88%	0	217	375	57.87%	156	339	46.02%	83	161	51.55%	243	168	243	75	132	64
Total Séries éliminatoires	10	5	5	0	0	0	0	0	34	28	6	5	2	3	0	0	0	0	0	14	12	2	5	3	2	0	0	0	0	0	20	16	4	10	34	66	100	1	0	11	17	6	0	337	120	106	106	5	287	77	70	167	26	4	15.38%	33	4	87.88%	0	217	375	57.87%	156	339	46.02%	83	161	51.55%	243	168	243	75	132	64

Chicago Leaders statistiques (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	PKS	GW	FO%	P/20
1	Yegor Sharangovich	10	1	8	9	3	0	0	3	34	2.94%	2	188	18.84	0	2	2	5	0	0	50.00	0.96
2	John Klingberg	10	1	7	8	0	16	12	9	12	8.33%	11	218	21.87	1	0	1	5	0	1	0.00%	0.73
3	J.T. Miller	10	2	6	8	-2	2	13	6	26	7.69%	2	159	15.94	0	1	1	8	0	1	50.00	1.00
4	Frederick Gaudreau	10	2	6	8	7	2	3	14	11	18.18%	0	113	11.32	0	0	0	0	1	0	58.17	1.41
5	Brandon Saad	10	3	4	7	-2	2	6	10	32	9.38%	1	178	17.83	1	1	2	5	0	1	40.00	0.79

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
1	Marc-Andre Fleury	8	4	4	0	0.904	2.76	478	0	0	22	230	0	1	1	0.00%	0
2	Linus Ullmark	2	1	0	1	0.911	2.16	139	0	0	5	56	0	0	0	0.00%	0

	Chicago
	GP: 10 \| W: 5 \| L: 5 GF: 34 \| GA: 28 \| PP%: 15.38% \| PK%: 87.88% DG: Pierre-Luc Simard \| Morale : 50 \| Moyenne d’équipe : N/A