Stanley Cup Winners Hockey League

ST-LOUIS Blues
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Lignes
Statistiques d'Équipe
Calendrier
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Stats d'équipe en Carrière
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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
Rayé
1	Kyle Baun	0			X		100.00	69	43	71	60	80	58	88	55	50	57	53	60	53	50	50	42	92	62	0
2	Shane Prince	0	X	X			100.00	59	41	82	69	67	77	35	58	30	59	59	59	64	55	53	64	92	60	0
3	Alexander Volkov	0		X			100.00	51	89	59	70	76	50	50	70	50	63	63	58	63	50	50	44	92	60	0
4	Rourke Chartier	0	X				100.00	54	35	72	68	70	58	56	68	70	59	60	55	61	51	50	54	92	60	0
5	Blaine Byron	0	X				100.00	50	89	71	70	69	50	50	70	50	63	63	51	63	50	50	43	92	59	0
6	Justin Auger	0			X		100.00	70	89	72	55	99	50	50	55	50	55	55	50	55	50	50	59	92	58	0
7	Alexander Khokhlachev	0	X	X			100.00	45	35	80	75	61	49	41	62	42	59	58	59	65	58	49	79	92	57	0
8	Dominic Turgeon	0	X				100.00	55	35	63	63	80	51	52	63	69	53	53	51	53	50	50	67	92	57	0
9	Jake Dotchin	0				X	100.00	71	50	63	63	85	61	60	63	30	55	52	63	63	54	51	47	92	61	0
10	Xavier Ouellet	0				X	100.00	56	50	72	68	74	59	59	68	30	54	49	58	60	56	52	69	92	60	0
11	Joe Hicketts	0				X	100.00	53	35	62	66	64	55	55	66	30	48	44	57	55	51	50	44	92	55	0
12	Mark Friedman	0				X	100.00	50	35	57	64	69	50	50	64	30	48	43	50	53	50	50	62	92	53	0

	MOYENNE D'ÉQUIPE					100.00	57	52	69	66	75	56	54	64	44	56	54	56	59	52	50	56	92	59

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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
Rayé
1	Stephon Williams (R)	100.00	45	52	65	77	60	47	48	49	49	50	55	60	49	71	92	49	0

	MOYENNE D'ÉQUIPE	100.00	45	52	65	77	60	47	48	49	49	50	55	60	49	71	92	49

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Ralph Krueger	66	66	66	66	77	77	52	CAN	61	2	81,800$

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

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	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Moyen	Salaire Moyen Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Link
Alexander Khokhlachev	CHICAGO Wolves (STL)	C/LW	25	1993-09-09	No	82 Kg	178 CM	No	No	No	1	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No
Alexander Volkov	CHICAGO Wolves (STL)	LW	22	1997-08-02	No	87 Kg	185 CM	No	No	No	4	Pro & Farm	850,000$	773,423$	850,000$	773,423$	0$	0$	No	850,000$	850,000$	850,000$			Lien
Blaine Byron	CHICAGO Wolves (STL)	C	24	1995-02-21	No	78 Kg	183 CM	No	No	No	1	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No						Lien
Dominic Turgeon	CHICAGO Wolves (STL)	C	23	1996-02-25	No	91 Kg	188 CM	No	No	No	4	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$	750,000$	750,000$			Lien
Jake Dotchin	CHICAGO Wolves (STL)	D	25	1994-03-24	No	95 Kg	191 CM	No	No	No	4	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$	750,000$	750,000$			Lien
Joe Hicketts	CHICAGO Wolves (STL)	D	23	1996-05-04	No	82 Kg	173 CM	No	No	No	3	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$	750,000$				Lien
Justin Auger	CHICAGO Wolves (STL)	RW	25	1994-05-14	No	105 Kg	198 CM	No	No	No	1	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No						Lien
Kyle Baun	CHICAGO Wolves (STL)	RW	27	1992-05-04	No	95 Kg	188 CM	No	No	No	0	Pro & Farm					0$	0$	No						Lien
Mark Friedman	CHICAGO Wolves (STL)	D	23	1995-12-25	No	84 Kg	180 CM	No	No	No	2	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$					Lien
Rourke Chartier	CHICAGO Wolves (STL)	C	23	1996-04-03	No	86 Kg	180 CM	No	No	No	1	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No						Lien
Shane Prince	CHICAGO Wolves (STL)	C/LW	26	1992-11-16	No	88 Kg	180 CM	No	No	No	1	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No						Lien
Stephon Williams	CHICAGO Wolves (STL)	G	26	1993-04-28	Yes	89 Kg	191 CM	No	No	No	2	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$
Xavier Ouellet	CHICAGO Wolves (STL)	D	26	1993-07-29	No	89 Kg	183 CM	No	No	No	6	Pro & Farm	750,000$	682,432$	750,000$	682,432$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	750,000$	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
13	24.46	89 Kg	185 CM	2.31	700,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				31	1	2	2
2				26	1	2	2
3				23	1	2	2
4				20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			31	1	2	2
2			26	1	2	2
3			23	1	2	2
4			20	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				55	1	2	2
2				45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		55	1	2	2			55	1	2	2
2		45	1	2	2			45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,	,

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,		,

Tirs de Pénalité
, , , ,

Gardien
#1 : , #2 :

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

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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

	Ligue												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	COLORADO Eagles	1	0	1	0	0	0	0	0	0	9	-9	1	0	1	0	0	0	0	0	0	9	-9	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	7	1	4	0	4	52	41	45	0	70	21	0	1	4	0	0.00%	0	0	0.00%	0	39	85	45.88%	64	199	32.16%	53	135	39.26%	62	37	289	42	68	23
2	CORNWALL Aces	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	6	4	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	12	18	0	0	7	1	4	0	65	52	41	45	0	44	12	0	27	1	0	0.00%	0	0	0.00%	0	39	85	45.88%	64	199	32.16%	53	135	39.26%	62	37	289	42	68	23
3	MONT-LAURIER Sommet	1	0	1	0	0	0	0	0	0	13	-13	1	0	1	0	0	0	0	0	0	13	-13	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	7	1	4	0	7	52	41	45	0	88	26	0	2	0	0	0.00%	0	0	0.00%	0	39	85	45.88%	64	199	32.16%	53	135	39.26%	62	37	289	42	68	23
4	Marlies de Toronto	1	0	1	0	0	0	0	0	5	10	-5	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	5	10	-5	0	0.000	5	10	15	0	0	7	1	4	0	46	52	41	45	0	63	16	0	25	0	0	0.00%	0	0	0.00%	0	39	85	45.88%	64	199	32.16%	53	135	39.26%	62	37	289	42	68	23
5	PROVIDENCE Bruins	1	0	1	0	0	0	0	0	0	10	-10	1	0	1	0	0	0	0	0	0	10	-10	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	7	1	4	0	9	52	41	45	0	81	26	2	6	1	0	0.00%	1	0	100.00%	0	39	85	45.88%	64	199	32.16%	53	135	39.26%	62	37	289	42	68	23
6	TUSCON Roadrunners	2	0	2	0	0	0	0	0	1	23	-22	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	1	23	-22	0	0.000	1	2	3	0	0	7	1	4	0	7	52	41	45	0	196	62	0	8	2	0	0.00%	0	0	0.00%	0	39	85	45.88%	64	199	32.16%	53	135	39.26%	62	37	289	42	68	23
	Total	7	1	6	0	0	0	0	0	12	69	-57	4	1	3	0	0	0	0	0	6	36	-30	3	0	3	0	0	0	0	0	6	33	-27	2	0.143	12	24	36	0	0	7	1	4	0	138	52	41	45	0	542	163	2	69	8	0	0.00%	1	0	100.00%	0	39	85	45.88%	64	199	32.16%	53	135	39.26%	62	37	289	42	68	23
	_Since Last GM Reset	7	1	6	0	0	0	0	0	12	69	-57	4	1	3	0	0	0	0	0	6	36	-30	3	0	3	0	0	0	0	0	6	33	-27	2	0.143	12	24	36	0	0	7	1	4	0	138	52	41	45	0	542	163	2	69	8	0	0.00%	1	0	100.00%	0	39	85	45.88%	64	199	32.16%	53	135	39.26%	62	37	289	42	68	23
	_Vs Conference	5	0	5	0	0	0	0	0	6	52	-46	2	0	2	0	0	0	0	0	0	19	-19	3	0	3	0	0	0	0	0	6	33	-27	0	0.000	6	12	18	0	0	7	1	4	0	66	52	41	45	0	410	125	2	40	7	0	0.00%	1	0	100.00%	0	39	85	45.88%	64	199	32.16%	53	135	39.26%	62	37	289	42	68	23
	_Vs Division	1	0	1	0	0	0	0	0	0	9	-9	1	0	1	0	0	0	0	0	0	9	-9	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	7	1	4	0	4	52	41	45	0	70	21	0	1	4	0	0.00%	0	0	0.00%	0	39	85	45.88%	64	199	32.16%	53	135	39.26%	62	37	289	42	68	23

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
7	2	L4	12	24	36	138	542	163	2	69	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	1	6	0	0	0	0	12	69

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	3	0	0	0	0	6	36

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	0	3	0	0	0	0	6	33

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	6	0	0	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
8	0	0.00%	1	0	100.00%	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
52	41	45	0	7	1	4	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
39	85	45.88%	64	199	32.16%	53	135	39.26%

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
62	37	289	42	68	23

Derniers Match 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	RI	Lien
1 - 2020-01-15	6	CHICAGO Wolves	1	TUSCON Roadrunners	11	L		Sommaire du Match
2 - 2020-01-16	23	MONT-LAURIER Sommet	13	CHICAGO Wolves	0	L		Sommaire du Match
3 - 2020-01-17	32	CORNWALL Aces	4	CHICAGO Wolves	6	W		Sommaire du Match
4 - 2020-01-18	44	CHICAGO Wolves	5	Marlies de Toronto	10	L		Sommaire du Match
5 - 2020-01-19	57	PROVIDENCE Bruins	10	CHICAGO Wolves	0	L	R3	Sommaire du Match
7 - 2020-01-21	76	CHICAGO Wolves	0	TUSCON Roadrunners	12	L		Sommaire du Match
9 - 2020-01-23	88	COLORADO Eagles	9	CHICAGO Wolves	0	L		Sommaire du Match
12 - 2020-01-26	103	CHICAGO Wolves	-	BRIDGEPORT Sound Tigers	-
13 - 2020-01-27	114	CHICAGO Wolves	-	COLORADO Eagles	-
15 - 2020-01-29	127	LAVAL Rockets	-	CHICAGO Wolves	-
17 - 2020-01-31	135	PROVIDENCE Bruins	-	CHICAGO Wolves	-
20 - 2020-02-03	156	CHICAGO Wolves	-	UTICA Comets	-
21 - 2020-02-04	166	SAN DIEGO Gulls	-	CHICAGO Wolves	-
23 - 2020-02-06	183	TUSCON Roadrunners	-	CHICAGO Wolves	-
24 - 2020-02-07	199	CHICAGO Wolves	-	ROCKFORD IceHogs	-
25 - 2020-02-08	207	CHICAGO Wolves	-	Marlies de Toronto	-
27 - 2020-02-10	219	PROVIDENCE Bruins	-	CHICAGO Wolves	-
28 - 2020-02-11	237	SAN DIEGO Gulls	-	CHICAGO Wolves	-
29 - 2020-02-12	254	CHICAGO Wolves	-	BROOKLYN Wolfpack	-
31 - 2020-02-14	263	CHICAGO Wolves	-	MONT-LAURIER Sommet	-
32 - 2020-02-15	270	Syracruse Crunch	-	CHICAGO Wolves	-
33 - 2020-02-16	290	LAVAL Rockets	-	CHICAGO Wolves	-
34 - 2020-02-17	303	CHICAGO Wolves	-	STOCKTON Flames	-
35 - 2020-02-18	309	CHICAGO Wolves	-	TUSCON Roadrunners	-
37 - 2020-02-20	323	TUSCON Roadrunners	-	CHICAGO Wolves	-
38 - 2020-02-21	340	HERSEY Bears	-	CHICAGO Wolves	-
39 - 2020-02-22	348	CHICAGO Wolves	-	IOWA Wild	-
41 - 2020-02-24	369	Binghampton Devils	-	CHICAGO Wolves	-
43 - 2020-02-26	390	LEHIGH VALLEY Phantoms	-	CHICAGO Wolves	-
44 - 2020-02-27	399	CHICAGO Wolves	-	VICTORIAVILLE Tigres	-
45 - 2020-02-28	416	VICTORIAVILLE Tigres	-	CHICAGO Wolves	-
46 - 2020-02-29	427	CHICAGO Wolves	-	Manitoba Moose	-
47 - 2020-03-01	441	UTICA Comets	-	CHICAGO Wolves	-
49 - 2020-03-03	457	CHICAGO Wolves	-	TUSCON Roadrunners	-
50 - 2020-03-04	469	WILKIES-BARRIE Penguins	-	CHICAGO Wolves	-
52 - 2020-03-06	478	CHICAGO Wolves	-	VICTORIAVILLE Tigres	-
53 - 2020-03-07	491	CHICAGO Wolves	-	ROCKFORD IceHogs	-
54 - 2020-03-08	501	HOLLYWOOD Oscar	-	CHICAGO Wolves	-
56 - 2020-03-10	520	BRIDGEPORT Sound Tigers	-	CHICAGO Wolves	-
58 - 2020-03-12	536	CHICAGO Wolves	-	HOLLYWOOD Oscar	-
59 - 2020-03-13	542	CHICAGO Wolves	-	UTICA Comets	-
60 - 2020-03-14	553	UTICA Comets	-	CHICAGO Wolves	-
61 - 2020-03-15	565	CHICAGO Wolves	-	BELLEVILLE Senators	-
62 - 2020-03-16	577	COLORADO Eagles	-	CHICAGO Wolves	-
63 - 2020-03-17	598	Manitoba Moose	-	CHICAGO Wolves	-
64 - 2020-03-18	601	CHICAGO Wolves	-	Binghampton Devils	-
65 - 2020-03-19	621	CORNWALL Aces	-	CHICAGO Wolves	-
67 - 2020-03-21	632	CHICAGO Wolves	-	Marlies de Toronto	-
68 - 2020-03-22	645	CHICAGO Wolves	-	LAVAL Rockets	-
69 - 2020-03-23	656	Marlies de Toronto	-	CHICAGO Wolves	-
70 - 2020-03-24	669	CHICAGO Wolves	-	COLORADO Eagles	-
71 - 2020-03-25	680	CHICAGO Wolves	-	HERSEY Bears	-
72 - 2020-03-26	688	IOWA Wild	-	CHICAGO Wolves	-
74 - 2020-03-28	707	CHICAGO Wolves	-	BROOKLYN Wolfpack	-
75 - 2020-03-29	717	MONT-LAURIER Sommet	-	CHICAGO Wolves	-
76 - 2020-03-30	732	BELLEVILLE Senators	-	CHICAGO Wolves	-
77 - 2020-03-31	749	CHICAGO Wolves	-	PV Sharapovas	-
78 - 2020-04-01	758	CHICAGO Wolves	-	BRIDGEPORT Sound Tigers	-
79 - 2020-04-02	766	Marlies de Toronto	-	CHICAGO Wolves	-
80 - 2020-04-03	784	CHICAGO Wolves	-	PROVIDENCE Bruins	-
81 - 2020-04-04	792	STOCKTON Flames	-	CHICAGO Wolves	-
82 - 2020-04-05	804	CHICAGO Wolves	-	Syracruse Crunch	-
84 - 2020-04-07	818	MILWAUKEE Admirals	-	CHICAGO Wolves	-
85 - 2020-04-08	836	ROCKFORD IceHogs	-	CHICAGO Wolves	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-04-11	859	BRIDGEPORT Sound Tigers	-	CHICAGO Wolves	-
89 - 2020-04-12	873	CHICAGO Wolves	-	LEHIGH VALLEY Phantoms	-
90 - 2020-04-13	882	CHICAGO Wolves	-	LAVAL Rockets	-
91 - 2020-04-14	890	MILWAUKEE Admirals	-	CHICAGO Wolves	-
92 - 2020-04-15	911	PV Sharapovas	-	CHICAGO Wolves	-
93 - 2020-04-16	921	CHICAGO Wolves	-	PROVIDENCE Bruins	-
94 - 2020-04-17	935	BROOKLYN Wolfpack	-	CHICAGO Wolves	-
96 - 2020-04-19	954	CHICAGO Wolves	-	CORNWALL Aces	-
97 - 2020-04-20	961	CHICAGO Wolves	-	MILWAUKEE Admirals	-
98 - 2020-04-21	970	MONT-LAURIER Sommet	-	CHICAGO Wolves	-
99 - 2020-04-22	988	BROOKLYN Wolfpack	-	CHICAGO Wolves	-
102 - 2020-04-25	1012	CHICAGO Wolves	-	MILWAUKEE Admirals	-
103 - 2020-04-26	1016	ROCKFORD IceHogs	-	CHICAGO Wolves	-
104 - 2020-04-27	1017	CHICAGO Wolves	-	SAN DIEGO Gulls	-
105 - 2020-04-28	1032	CHICAGO Wolves	-	WILKIES-BARRIE Penguins	-
107 - 2020-04-30	1045	HERSEY Bears	-	CHICAGO Wolves	-
108 - 2020-05-01	1046	CHICAGO Wolves	-	SAN DIEGO Gulls	-
109 - 2020-05-02	1062	CHICAGO Wolves	-	HERSEY Bears	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	15
Assistance	0	0
Assistance PCT	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
37	0 - 0.00%	0$	0$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
89,350$	910,000$	910,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	81,980$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	101	8,935$	902,435$

Afficher ou Masquer des Colonnes

	Ligue											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
33	7	1	6	0	0	0	0	0	12	69	-57	4	1	3	0	0	0	0	0	6	36	-30	3	0	3	0	0	0	0	0	6	33	-27	2	12	24	36	0	0	7	1	4	0	138	52	41	45	0	542	163	2	69	8	0	0.00%	1	0	100.00%	0	39	85	45.88%	64	199	32.16%	53	135	39.26%	62	37	289	42	68	23
Total Saison Régulière	7	1	6	0	0	0	0	0	12	69	-57	4	1	3	0	0	0	0	0	6	36	-30	3	0	3	0	0	0	0	0	6	33	-27	2	12	24	36	0	0	7	1	4	0	138	52	41	45	0	542	163	2	69	8	0	0.00%	1	0	100.00%	0	39	85	45.88%	64	199	32.16%	53	135	39.26%	62	37	289	42	68	23