ASHL - Chicago Wolves

Vancouver Canucks
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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	Joseph Labate	X	X			99.00	88	44	79	77	84	78	76	77	74	79	77	70	72	74	74	70	57	0	0	27	4	1,800,000$
2	Carl Klingberg		X	X		97.00	61	43	90	82	86	78	76	81	61	79	79	65	79	85	90	70	57	0	0	29	3	1,900,000$
3	David Desharnais (A)	X				99.00	56	30	90	75	67	71	72	85	76	82	75	64	78	98	99	70	57	0	0	34	2	1,000,000$
4	Matt Filipe (R)	X	X			100.00	76	41	75	73	80	82	81	73	71	72	71	69	68	60	60	70	47	0	0	23	3	800,000$
5	Spencer Smallman (R)			X		100.00	74	40	75	74	79	81	71	73	65	75	72	67	70	65	65	70	57	0	0	24	1	800,000$
6	Mats Zuccarello			X		99.00	67	38	94	81	68	73	74	83	63	76	76	61	78	97	98	70	57	0	0	33	2	1,100,000$
7	Petr Straka		X	X		99.00	71	38	83	77	76	79	77	78	67	75	77	66	75	68	64	70	48	0	0	28	1	750,000$
8	Carl Hagelin		X			100.00	57	33	90	81	70	73	72	77	68	77	77	60	82	92	90	70	57	0	0	32	1	800,000$
9	Anton Lander	X				100.00	61	33	88	82	76	82	81	82	78	78	78	66	77	96	89	70	57	0	0	29	3	1,500,000$
10	Andreas Martinsen	X	X	X		100.00	80	45	72	68	83	72	70	70	74	71	71	64	70	82	86	70	39	0	0	30	1	600,000$
11	Nicklas Jensen			X		100.00	89	38	77	75	84	82	81	78	60	78	78	67	72	69	68	70	57	0	0	27	1	1,200,000$
12	Connor Crisp (R)	X	X			100.00	91	55	68	69	87	76	73	70	72	70	69	67	70	65	66	70	43	0	0	26	3	725,000$
13	Tyler Soy (R)	X				100.00	65	33	79	79	67	77	75	76	72	74	73	63	73	56	56	70	57	0	0	23	1	800,000$
14	Jesse Ylonen (R) (C)			X		100.00	65	33	79	79	71	78	78	77	65	74	74	67	71	57	56	70	57	0	0	21	1	800,000$
15	Jakub Jerabek				X	99.00	83	38	73	78	81	79	78	81	52	80	62	81	68	71	70	70	57	0	0	29	4	1,100,000$
16	Lucas Johansen (R) (A)				X	99.00	70	35	79	78	76	82	68	77	50	75	62	80	60	65	65	70	57	0	0	23	3	850,000$
17	Trevor Carrick (R)				X	99.00	90	50	69	76	86	79	81	77	50	77	63	79	66	67	69	70	57	0	0	26	1	800,000$
18	Tom Gilbert				X	100.00	74	43	77	70	79	83	82	71	50	74	61	79	70	99	99	70	57	0	0	37	1	1,100,000$
19	Alex Peters (R)				X	100.00	92	53	66	68	89	75	72	68	50	69	58	80	56	63	63	70	57	0	0	24	2	650,000$
20	Matthew Cairns (R)				X	100.00	85	45	74	69	86	77	77	67	50	68	57	81	55	64	64	70	43	0	0	22	2	650,000$
Rayé
1	Justin Shugg		X			100.00	62	33	80	73	75	74	73	74	65	72	72	61	72	79	82	70	37	0	0	29	1	1,000,000$
2	David Schlemko				X	100.00	84	43	77	74	79	75	77	78	51	78	61	84	68	98	99	70	18	0	0	33	2	900,000$
3	Mattias Backman				X	100.00	88	41	72	78	80	82	80	79	50	82	65	83	62	84	84	70	50	0	0	28	4	1,900,000$

	MOYENNE D'ÉQUIPE					99.57	75	40	79	75	79	78	76	76	62	75	70	71	70	76	76	70	51	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
1	Brandon Halverson (R)	100.00	83	82	84	87	83	83	82	85	83	83	81	65	61	70	57	0	0
2	Matt O'Connor	100.00	83	82	84	88	87	87	87	87	88	86	87	68	71	70	43	0	0
3	Anton Forsberg	97.00	87	84	85	87	88	88	88	88	88	87	86	64	64	70	47	0	0
Rayé

	MOYENNE D'ÉQUIPE	99.00	84	83	84	87	86	86	86	87	86	85	85	66	65	70	49	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Todd Reirden	90	90	85	80	75	85	70	USA	47	2	750,000$

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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	GT	FO%	FOT	P/20	S1	S2	S3
1	Joseph Labate	Chicago Wolves (VAN)	C/LW	25	9	17	26	5	12	40	56	78	19	53	11.54%	5	468	18.74	3	7	10	18	69	1	47	1	0	49.56%	567	1.11	4	0	2
2	Jakub Jerabek	Chicago Wolves (VAN)	D	25	5	17	22	3	24	37	35	29	18	27	17.24%	31	569	22.78	3	7	10	15	68	0	61	0	1	0.00%	0	0.77	2	1	0
3	Trevor Carrick	Chicago Wolves (VAN)	D	25	4	12	16	-4	26	60	34	39	7	27	10.26%	35	604	24.17	0	4	4	15	71	1	62	2	0	0.00%	0	0.53	1	0	1
4	Nicklas Jensen	Chicago Wolves (VAN)	RW	25	6	10	16	8	24	27	25	53	22	31	11.32%	2	372	14.91	1	5	6	7	31	0	0	2	0	62.50%	32	0.86	0	1	1
5	Carl Klingberg	Chicago Wolves (VAN)	LW/RW	25	5	9	14	-8	10	19	37	76	28	48	6.58%	1	566	22.65	1	1	2	12	71	3	87	1	1	44.55%	220	0.49	1	0	0
6	Petr Straka	Chicago Wolves (VAN)	LW/RW	16	7	7	14	4	4	5	12	53	13	35	13.21%	0	280	17.55	2	4	6	10	48	0	0	1	0	38.10%	21	1.00	0	2	2
7	Anton Lander	Chicago Wolves (VAN)	C	25	6	8	14	-8	6	18	37	62	18	43	9.68%	5	428	17.15	0	4	4	18	72	5	91	0	0	54.04%	507	0.65	0	1	0
8	Tom Gilbert	Chicago Wolves (VAN)	D	25	6	6	12	9	4	17	25	33	13	17	18.18%	33	488	19.54	5	0	5	19	70	1	72	1	0	0.00%	0	0.49	0	2	0
9	Lucas Johansen	Chicago Wolves (VAN)	D	25	0	10	10	-7	2	10	33	34	10	17	0.00%	42	472	18.92	0	4	4	20	46	0	28	0	0	0.00%	0	0.42	1	0	0
10	Mats Zuccarello	Chicago Wolves (VAN)	RW	25	6	4	10	-2	6	21	19	39	19	42	15.38%	4	379	15.19	3	1	4	7	53	0	0	3	0	39.39%	33	0.53	1	1	1
11	David Desharnais	Chicago Wolves (VAN)	C	25	3	4	7	1	4	7	37	43	10	36	6.98%	5	388	15.55	0	0	0	0	0	0	37	0	0	51.64%	397	0.36	0	0	0
12	Marc-Andre Gragnani	Vancouver Canucks	D	8	1	5	6	1	2	0	12	13	7	11	7.69%	13	190	23.85	1	0	1	8	16	0	26	0	0	0.00%	0	0.63	0	0	0
13	Carl Hagelin	Chicago Wolves (VAN)	LW	25	1	5	6	4	4	13	16	48	12	33	2.08%	2	365	14.63	0	1	1	4	20	0	0	0	0	28.57%	28	0.33	0	0	0
14	Jesse Ylonen	Chicago Wolves (VAN)	RW	25	2	4	6	-1	0	28	17	46	13	29	4.35%	3	342	13.69	0	1	1	10	58	0	11	1	0	48.28%	29	0.35	0	0	0
15	David Schlemko	Chicago Wolves (VAN)	D	3	2	3	5	0	0	2	2	4	0	3	50.00%	4	73	24.65	2	1	3	3	10	0	11	0	1	0.00%	0	1.35	1	0	0
16	Matt Filipe	Chicago Wolves (VAN)	C/LW	25	3	1	4	-2	10	23	29	26	8	19	11.54%	1	272	10.90	0	0	0	0	0	0	13	1	0	51.70%	176	0.29	0	2	0
17	Matthew Cairns	Chicago Wolves (VAN)	D	14	2	1	3	0	2	8	14	13	2	8	15.38%	16	183	13.09	0	0	0	0	0	0	0	0	1	0.00%	0	0.33	0	0	1
18	Alex Peters	Chicago Wolves (VAN)	D	25	0	2	2	-7	26	77	19	13	8	8	0.00%	32	428	17.13	0	0	0	0	1	0	28	0	0	0.00%	0	0.09	0	0	0
19	Tyler Soy	Chicago Wolves (VAN)	C	25	0	1	1	-2	2	5	23	15	5	22	0.00%	0	127	5.09	0	0	0	0	1	0	0	0	0	48.06%	129	0.16	0	0	0
20	Spencer Smallman	Chicago Wolves (VAN)	RW	25	0	0	0	-4	8	35	14	21	2	25	0.00%	2	264	10.58	0	0	0	0	0	0	0	0	0	44.00%	25	0.00	0	0	0
21	Justin Shugg	Chicago Wolves (VAN)	LW	9	0	0	0	-2	8	1	7	7	0	6	0.00%	0	102	11.36	0	0	0	0	0	0	0	0	0	57.14%	7	0.00	0	0	0
22	Andreas Martinsen	Chicago Wolves (VAN)	C/LW/RW	8	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.02	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				458	68	126	194	-12	184	453	503	745	234	540	9.13%	236	7371	16.10	21	40	61	166	713	11	582	13	4	50.16%	2171	0.53	11	10	8

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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	ST	BG	S1	S2	S3
1	Anton Forsberg	Chicago Wolves (VAN)	25	12	8	4	0.910	2.73	1474	67	741	25	0	2	1	1
2	Matt O'Connor	Chicago Wolves (VAN)	2	1	0	0	1.000	0.00	36	0	18	0	14	0	0	0
Stats d'équipe Total ou en Moyenne			27	13	8	4	0.912	2.66	1511	67	759	25	14	2	1	1

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	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
Alex Peters	Chicago Wolves (VAN)	D	24	1995-01-22 15:36:37	Yes	220 Lbs	6 ft4	No	No	No	2	Pro & Farm	650,000$	452,925$	650,000$	452,925$	0$	0$	No	650,000$
Andreas Martinsen	Chicago Wolves (VAN)	C/LW/RW	30	1989-01-22 02:14:35	No	205 Lbs	6 ft2	No	No	No	1	Pro & Farm	600,000$	418,085$	600,000$	418,085$	0$	0$	No
Anton Forsberg	Chicago Wolves (VAN)	G	28	1991-01-22 10:30:17	No	192 Lbs	6 ft2	No	No	No	4	Pro & Farm	1,900,000$	1,323,936$	1,900,000$	1,323,936$	0$	0$	No	1,900,000$	1,900,000$	1,900,000$
Anton Lander	Chicago Wolves (VAN)	C	29	1990-01-22 10:20:56	No	194 Lbs	6 ft0	No	No	No	3	Pro & Farm	1,500,000$	1,045,212$	1,500,000$	1,045,212$	0$	0$	No	1,500,000$	1,500,000$
Brandon Halverson	Chicago Wolves (VAN)	G	24	1995-01-01 03:15:52	Yes	209 Lbs	6 ft4	No	No	No	1	Pro & Farm	700,000$	487,765$	700,000$	487,765$	0$	0$	No
Carl Hagelin	Chicago Wolves (VAN)	LW	32	1987-01-22 09:24:04	No	176 Lbs	5 ft11	No	No	No	1	Pro & Farm	800,000$	557,446$	800,000$	557,446$	0$	0$	No
Carl Klingberg	Chicago Wolves (VAN)	LW/RW	29	1990-01-22 18:29:38	No	205 Lbs	6 ft3	No	No	No	3	Pro & Farm	1,900,000$	1,323,936$	1,900,000$	1,323,936$	0$	0$	No	1,900,000$	1,900,000$
Connor Crisp	Chicago Wolves (VAN)	C/LW	26	1993-01-22 10:16:06	Yes	220 Lbs	6 ft3	No	No	No	3	Pro & Farm	725,000$	505,186$	725,000$	505,186$	0$	0$	No	725,000$	725,000$
David Desharnais	Chicago Wolves (VAN)	C	34	1985-01-22 12:29:38	No	177 Lbs	5 ft7	No	No	No	2	Pro & Farm	1,000,000$	696,808$	1,000,000$	696,808$	0$	0$	No	1,000,000$
David Schlemko	Chicago Wolves (VAN)	D	33	1986-01-22 18:29:38	No	201 Lbs	6 ft1	No	No	No	2	Pro & Farm	900,000$	627,127$	900,000$	627,127$	0$	0$	No	900,000$
Jakub Jerabek	Chicago Wolves (VAN)	D	29	1990-01-22 07:16:42	No	190 Lbs	5 ft11	No	No	No	4	Pro & Farm	1,100,000$	766,489$	1,100,000$	766,489$	0$	0$	No	1,100,000$	1,100,000$	1,100,000$
Jesse Ylonen	Chicago Wolves (VAN)	RW	21	1998-01-22 08:11:11	Yes	168 Lbs	6 ft0	No	No	No	1	Pro & Farm	800,000$	557,446$	800,000$	557,446$	0$	0$	No
Joseph Labate	Chicago Wolves (VAN)	C/LW	27	1992-01-22 08:58:18	No	201 Lbs	6 ft4	No	No	No	4	Pro & Farm	1,800,000$	1,254,255$	1,800,000$	1,254,255$	0$	0$	No	1,800,000$	1,800,000$	1,800,000$
Justin Shugg	Chicago Wolves (VAN)	LW	29	1990-01-22 02:54:46	No	194 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,000,000$	696,808$	1,000,000$	696,808$	0$	0$	No
Lucas Johansen	Chicago Wolves (VAN)	D	23	1996-01-02 10:55:12	Yes	183 Lbs	6 ft2	No	No	No	3	Pro & Farm	850,000$	592,287$	850,000$	592,287$	0$	0$	No	850,000$	850,000$
Mats Zuccarello	Chicago Wolves (VAN)	RW	33	1986-01-22 18:29:38	No	174 Lbs	5 ft7	No	No	No	2	Pro & Farm	1,100,000$	766,489$	1,100,000$	766,489$	0$	0$	No	1,100,000$
Matt Filipe	Chicago Wolves (VAN)	C/LW	23	1996-01-02 10:39:38	Yes	198 Lbs	6 ft2	No	No	No	3	Pro & Farm	800,000$	557,446$	800,000$	557,446$	0$	0$	No	800,000$	800,000$
Matt O'Connor	Chicago Wolves (VAN)	G	28	1991-01-22 04:11:39	No	206 Lbs	6 ft6	No	No	No	2	Pro & Farm	750,000$	522,606$	750,000$	522,606$	0$	0$	No	750,000$
Matthew Cairns	Chicago Wolves (VAN)	D	22	1997-01-22 15:39:52	Yes	203 Lbs	6 ft2	No	No	No	2	Pro & Farm	650,000$	452,925$	650,000$	452,925$	0$	0$	No	650,000$
Mattias Backman	Chicago Wolves (VAN)	D	28	1991-01-22 04:13:58	No	170 Lbs	6 ft2	No	No	No	4	Pro & Farm	1,900,000$	1,323,936$	1,900,000$	1,323,936$	0$	0$	No	1,900,000$	1,900,000$	1,900,000$
Nicklas Jensen	Chicago Wolves (VAN)	RW	27	1992-01-22 03:01:01	No	202 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,200,000$	836,170$	1,200,000$	836,170$	0$	0$	No
Petr Straka	Chicago Wolves (VAN)	LW/RW	28	1991-01-22 08:13:02	No	185 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	522,606$	750,000$	522,606$	0$	0$	No
Spencer Smallman	Chicago Wolves (VAN)	RW	24	1995-01-02 10:46:18	Yes	198 Lbs	6 ft1	No	No	No	1	Pro & Farm	800,000$	557,446$	800,000$	557,446$	0$	0$	No
Tom Gilbert	Chicago Wolves (VAN)	D	37	1982-01-22 18:29:38	No	206 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,100,000$	766,489$	1,100,000$	766,489$	0$	0$	No
Trevor Carrick	Chicago Wolves (VAN)	D	26	1993-01-22 15:12:37	Yes	196 Lbs	6 ft2	No	No	No	1	Pro & Farm	800,000$	557,446$	800,000$	557,446$	0$	0$	No
Tyler Soy	Chicago Wolves (VAN)	C	23	1996-01-22 04:14:28	Yes	170 Lbs	6 ft0	No	No	No	1	Pro & Farm	800,000$	557,446$	800,000$	557,446$	0$	0$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
26	27.58	194 Lbs	6 ft1	2.08	1,033,654$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Carl Klingberg	Anton Lander	Jesse Ylonen	25	1	2	2
2	Petr Straka	Joseph Labate	Nicklas Jensen	25	1	2	2
3	Carl Hagelin	David Desharnais	Mats Zuccarello	25	1	2	2
4	Carl Klingberg	Matt Filipe	Spencer Smallman	25	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Matthew Cairns	Trevor Carrick	25	1	2	2
2	Tom Gilbert	Jakub Jerabek	25	1	2	2
3	Lucas Johansen	Alex Peters	25	1	2	2
4	Jakub Jerabek	Trevor Carrick	25	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Carl Klingberg	Anton Lander	Jesse Ylonen	60	1	2	2
2	Petr Straka	Joseph Labate	Mats Zuccarello	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Lucas Johansen	Trevor Carrick	60	1	2	2
2	Tom Gilbert	Jakub Jerabek	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Carl Klingberg	Anton Lander	60	1	2	2
2	Joseph Labate	David Desharnais	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Lucas Johansen	Trevor Carrick	60	1	2	2
2	Tom Gilbert	Jakub Jerabek	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Carl Klingberg	60	1	2	2	Lucas Johansen	Trevor Carrick	60	1	2	2
2	Anton Lander	40	1	2	2	Tom Gilbert	Jakub Jerabek	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Carl Klingberg	Anton Lander	60	1	2	2
2	Joseph Labate	David Desharnais	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Lucas Johansen	Trevor Carrick	60	1	2	2
2	Tom Gilbert	Jakub Jerabek	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Carl Klingberg	Anton Lander	Mats Zuccarello	Jakub Jerabek	Trevor Carrick

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Carl Klingberg	Anton Lander	Mats Zuccarello	Jakub Jerabek	Trevor Carrick

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Tyler Soy, Carl Hagelin, Jesse Ylonen	Tyler Soy, Carl Hagelin	Jesse Ylonen

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Lucas Johansen, Jakub Jerabek, Tom Gilbert	Lucas Johansen	Trevor Carrick, Tom Gilbert

Tirs de Pénalité
Carl Klingberg, Anton Lander, Joseph Labate, David Desharnais, Mats Zuccarello

Gardien
#1 : Anton Forsberg, #2 : Matt O'Connor, #3 : Brandon Halverson

Lignes d'Attaque Perso. en Prol.
Carl Klingberg, Anton Lander, Joseph Labate, David Desharnais, Mats Zuccarello, Nicklas Jensen, Nicklas Jensen, Petr Straka, Carl Hagelin, Jesse Ylonen, Spencer Smallman

Lignes de Défense Perso. en Prol.
Alex Peters, Trevor Carrick, Tom Gilbert, Jakub Jerabek, Lucas Johansen

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

	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	Adirondack Phantoms	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	27	21	17	3	42	269	266	203	7	22	7	6	17	4	1	25.00%	3	1	66.67%	0	427	886	48.19%	462	887	52.09%	200	380	52.63%	588	403	606	186	317	158
2	Charlotte Checkers	2	0	0	0	1	1	0	0	7	7	0	2	0	0	0	1	1	0	0	7	7	0	0	0	0	0	0	0	0	0	0	0	0	3	0.750	7	13	20	0	0	27	21	17	3	56	269	266	203	7	70	24	14	35	3	0	0.00%	7	1	85.71%	0	427	886	48.19%	462	887	52.09%	200	380	52.63%	588	403	606	186	317	158
3	Connecticut Whale	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	27	21	17	3	19	269	266	203	7	28	17	8	12	3	1	33.33%	3	0	100.00%	0	427	886	48.19%	462	887	52.09%	200	380	52.63%	588	403	606	186	317	158
4	Gatineau Olympiques	1	0	0	0	1	0	0	0	4	3	1	1	0	0	0	1	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	27	21	17	3	26	269	266	203	7	34	11	14	20	4	0	0.00%	6	0	100.00%	0	427	886	48.19%	462	887	52.09%	200	380	52.63%	588	403	606	186	317	158
5	Grand Rapids Griffins	2	1	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	0	4	-4	1	1	0	0	0	0	0	0	3	1	2	2	0.500	3	5	8	0	0	27	21	17	3	64	269	266	203	7	80	30	18	44	3	0	0.00%	9	2	77.78%	0	427	886	48.19%	462	887	52.09%	200	380	52.63%	588	403	606	186	317	158
6	Houston Aeros	2	1	1	0	0	0	0	0	3	6	-3	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	0	4	-4	2	0.500	3	5	8	0	0	27	21	17	3	62	269	266	203	7	63	20	12	30	8	1	12.50%	6	2	66.67%	0	427	886	48.19%	462	887	52.09%	200	380	52.63%	588	403	606	186	317	158
7	Joliette Sportif	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	5	8	0	0	27	21	17	3	20	269	266	203	7	26	14	4	15	1	0	0.00%	2	0	100.00%	0	427	886	48.19%	462	887	52.09%	200	380	52.63%	588	403	606	186	317	158
8	Lake Erie Monsters	1	0	0	0	0	1	0	0	1	2	-1	1	0	0	0	0	1	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	1	2	3	0	0	27	21	17	3	23	269	266	203	7	27	3	8	10	5	0	0.00%	4	0	100.00%	0	427	886	48.19%	462	887	52.09%	200	380	52.63%	588	403	606	186	317	158
9	Laval Chiefs	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	27	21	17	3	23	269	266	203	7	38	9	4	16	5	0	0.00%	2	0	100.00%	0	427	886	48.19%	462	887	52.09%	200	380	52.63%	588	403	606	186	317	158
10	Manitoba Moose	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	8	12	0	0	27	21	17	3	27	269	266	203	7	31	10	8	23	6	3	50.00%	4	1	75.00%	0	427	886	48.19%	462	887	52.09%	200	380	52.63%	588	403	606	186	317	158
11	Mercer Island Hafgufa	2	1	0	0	0	1	0	0	7	7	0	1	1	0	0	0	0	0	0	5	4	1	1	0	0	0	0	1	0	0	2	3	-1	3	0.750	7	14	21	0	0	27	21	17	3	64	269	266	203	7	57	16	8	36	7	3	42.86%	4	0	100.00%	0	427	886	48.19%	462	887	52.09%	200	380	52.63%	588	403	606	186	317	158
12	Milwaukee Admirals	2	0	1	0	1	0	0	0	7	7	0	0	0	0	0	0	0	0	0	0	0	0	2	0	1	0	1	0	0	0	7	7	0	2	0.500	7	13	20	0	0	27	21	17	3	69	269	266	203	7	60	14	26	32	11	3	27.27%	12	3	75.00%	0	427	886	48.19%	462	887	52.09%	200	380	52.63%	588	403	606	186	317	158
13	Oklahoma City Barons	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	1	1	2	1.000	2	3	5	0	0	27	21	17	3	19	269	266	203	7	31	6	6	14	1	0	0.00%	3	0	100.00%	0	427	886	48.19%	462	887	52.09%	200	380	52.63%	588	403	606	186	317	158
14	Peoria Rivermen	2	1	1	0	0	0	0	0	8	5	3	1	0	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	5	1	4	2	0.500	8	14	22	0	0	27	21	17	3	59	269	266	203	7	57	21	18	45	10	5	50.00%	6	2	66.67%	0	427	886	48.19%	462	887	52.09%	200	380	52.63%	588	403	606	186	317	158
15	Providence Bruins	1	0	0	0	0	1	0	0	2	3	-1	1	0	0	0	0	1	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	2	4	6	0	0	27	21	17	3	25	269	266	203	7	33	7	10	23	1	1	100.00%	5	1	80.00%	0	427	886	48.19%	462	887	52.09%	200	380	52.63%	588	403	606	186	317	158
16	Roberval Dwarfs	2	1	1	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	6	11	17	0	0	27	21	17	3	82	269	266	203	7	53	11	8	38	7	1	14.29%	4	1	75.00%	0	427	886	48.19%	462	887	52.09%	200	380	52.63%	588	403	606	186	317	158
17	The Nuuk Vikings	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	27	21	17	3	37	269	266	203	7	22	10	8	23	5	1	20.00%	4	3	25.00%	0	427	886	48.19%	462	887	52.09%	200	380	52.63%	588	403	606	186	317	158
	Total	25	10	8	0	3	4	0	0	68	67	1	13	4	4	0	2	3	0	0	36	38	-2	12	6	4	0	1	1	0	0	32	29	3	30	0.600	68	126	194	0	0	27	21	17	3	745	269	266	203	7	759	236	184	453	89	21	23.60%	86	17	80.23%	0	427	886	48.19%	462	887	52.09%	200	380	52.63%	588	403	606	186	317	158
18	Trois-Rivières Draveurs	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	6	9	0	0	27	21	17	3	28	269	266	203	7	27	6	4	20	5	1	20.00%	2	0	100.00%	0	427	886	48.19%	462	887	52.09%	200	380	52.63%	588	403	606	186	317	158
	_Since Last GM Reset	25	10	8	0	3	4	0	0	68	67	1	13	4	4	0	2	3	0	0	36	38	-2	12	6	4	0	1	1	0	0	32	29	3	30	0.600	68	126	194	0	0	27	21	17	3	745	269	266	203	7	759	236	184	453	89	21	23.60%	86	17	80.23%	0	427	886	48.19%	462	887	52.09%	200	380	52.63%	588	403	606	186	317	158
	_Vs Conference	16	7	5	0	2	2	0	0	43	42	1	7	3	2	0	1	1	0	0	19	20	-1	9	4	3	0	1	1	0	0	24	22	2	20	0.625	43	78	121	0	0	27	21	17	3	466	269	266	203	7	495	154	126	285	60	13	21.67%	58	12	79.31%	0	427	886	48.19%	462	887	52.09%	200	380	52.63%	588	403	606	186	317	158
	_Vs Division	7	4	1	0	0	2	0	0	21	17	4	3	2	0	0	0	1	0	0	12	8	4	4	2	1	0	0	1	0	0	9	9	0	10	0.714	21	39	60	0	0	27	21	17	3	189	269	266	203	7	208	66	44	124	23	4	17.39%	21	3	85.71%	0	427	886	48.19%	462	887	52.09%	200	380	52.63%	588	403	606	186	317	158

			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
25	30	W2	68	126	194	745	759	236	184	453	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
25	10	8	3	4	0	0	68	67

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
13	4	4	2	3	0	0	36	38

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	6	4	1	1	0	0	32	29

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
6	4	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
89	21	23.60%	86	17	80.23%	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
269	266	203	7	27	21	17	3

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
427	886	48.19%	462	887	52.09%	200	380	52.63%

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
588	403	606	186	317	158

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	OT	Lien
1 - 2020-10-28	8	Chicago Wolves	2	Oklahoma City Barons	1	W		Sommaire du Match
3 - 2020-10-30	23	Lake Erie Monsters	2	Chicago Wolves	1	L	X	Sommaire du Match
5 - 2020-11-01	35	Chicago Wolves	1	Milwaukee Admirals	2	L		Sommaire du Match
7 - 2020-11-03	55	Charlotte Checkers	4	Chicago Wolves	5	W	X	Sommaire du Match
10 - 2020-11-06	76	Providence Bruins	3	Chicago Wolves	2	L	X	Sommaire du Match
12 - 2020-11-08	94	Chicago Wolves	3	Joliette Sportif	1	W		Sommaire du Match
14 - 2020-11-10	106	Chicago Wolves	2	Mercer Island Hafgufa	3	L	X	Sommaire du Match
16 - 2020-11-12	122	Gatineau Olympiques	3	Chicago Wolves	4	W	X	Sommaire du Match
18 - 2020-11-14	140	Peoria Rivermen	4	Chicago Wolves	3	L		Sommaire du Match
22 - 2020-11-18	165	Chicago Wolves	4	Manitoba Moose	2	W		Sommaire du Match
24 - 2020-11-20	178	Mercer Island Hafgufa	4	Chicago Wolves	5	W		Sommaire du Match
25 - 2020-11-21	193	Chicago Wolves	2	The Nuuk Vikings	4	L		Sommaire du Match
28 - 2020-11-24	207	Charlotte Checkers	3	Chicago Wolves	2	L	X	Sommaire du Match
31 - 2020-11-27	222	Chicago Wolves	6	Milwaukee Admirals	5	W	X	Sommaire du Match
33 - 2020-11-29	241	Grand Rapids Griffins	4	Chicago Wolves	0	L		Sommaire du Match
37 - 2020-12-03	270	Roberval Dwarfs	2	Chicago Wolves	5	W		Sommaire du Match
39 - 2020-12-05	286	Chicago Wolves	1	Roberval Dwarfs	3	L		Sommaire du Match
41 - 2020-12-07	303	Adirondack Phantoms	3	Chicago Wolves	2	L		Sommaire du Match
43 - 2020-12-09	316	Chicago Wolves	3	Grand Rapids Griffins	1	W		Sommaire du Match
45 - 2020-12-11	335	Chicago Wolves	5	Peoria Rivermen	1	W		Sommaire du Match
47 - 2020-12-13	344	Connecticut Whale	3	Chicago Wolves	1	L		Sommaire du Match
51 - 2020-12-17	371	Houston Aeros	2	Chicago Wolves	3	W		Sommaire du Match
53 - 2020-12-19	387	Chicago Wolves	0	Houston Aeros	4	L		Sommaire du Match
55 - 2020-12-21	402	Laval Chiefs	1	Chicago Wolves	3	W		Sommaire du Match
57 - 2020-12-23	417	Chicago Wolves	3	Trois-Rivières Draveurs	2	W		Sommaire du Match
59 - 2020-12-25	431	Chicago Wolves	-	Rockford IceHogs	-
61 - 2020-12-27	445	Grand Rapids Griffins	-	Chicago Wolves	-
63 - 2020-12-29	457	Chicago Wolves	-	Norfolk Admirals	-
65 - 2020-12-31	472	Chicago Wolves	-	Milwaukee Admirals	-
66 - 2021-01-01	482	The Nuuk Vikings	-	Chicago Wolves	-
70 - 2021-01-05	508	Charlotte Checkers	-	Chicago Wolves	-
72 - 2021-01-07	523	Chicago Wolves	-	Oklahoma City Barons	-
74 - 2021-01-09	540	Chicago Wolves	-	Mercer Island Hafgufa	-
75 - 2021-01-10	547	Binghamton Senators	-	Chicago Wolves	-
78 - 2021-01-13	572	Chicago Wolves	-	Rouyn-Noranda Huskies	-
79 - 2021-01-14	580	Henderson Silver Knights	-	Chicago Wolves	-
82 - 2021-01-17	597	Chicago Wolves	-	Rockford IceHogs	-
84 - 2021-01-19	611	Rockford IceHogs	-	Chicago Wolves	-
88 - 2021-01-23	637	Chicago Wolves	-	Las Vegas Gamblers	-
89 - 2021-01-24	647	Wilkes-Barre/Scranton Penguins	-	Chicago Wolves	-
92 - 2021-01-27	667	Chicago Wolves	-	Mercer Island Hafgufa	-
93 - 2021-01-28	680	Springfield Falcons	-	Chicago Wolves	-
97 - 2021-02-01	704	Chicago Wolves	-	Joliette Sportif	-
98 - 2021-02-02	712	Oklahoma City Barons	-	Chicago Wolves	-
101 - 2021-02-05	739	Chicago Wolves	-	Rochester Americans	-
102 - 2021-02-06	746	Providence Bruins	-	Chicago Wolves	-
105 - 2021-02-09	773	Gatineau Olympiques	-	Chicago Wolves	-
109 - 2021-02-13	795	Chicago Wolves	-	Springfield Falcons	-
110 - 2021-02-14	808	Houston Aeros	-	Chicago Wolves	-
113 - 2021-02-17	828	Chicago Wolves	-	Henderson Silver Knights	-
114 - 2021-02-18	837	Bridgeport Sound Tigers	-	Chicago Wolves	-
118 - 2021-02-22	864	Lake Erie Monsters	-	Chicago Wolves	-
121 - 2021-02-25	879	Chicago Wolves	-	Chicoutimi Saguenéens	-
123 - 2021-02-27	901	San Antonio Rampage	-	Chicago Wolves	-
125 - 2021-03-01	917	Chicago Wolves	-	Charlotte Checkers	-
127 - 2021-03-03	928	Chicago Wolves	-	Henderson Silver Knights	-
128 - 2021-03-04	940	Oklahoma City Barons	-	Chicago Wolves	-
132 - 2021-03-08	968	Milwaukee Admirals	-	Chicago Wolves	-
134 - 2021-03-10	986	Chicago Wolves	-	Bridgeport Sound Tigers	-
136 - 2021-03-12	997	Rouyn-Noranda Huskies	-	Chicago Wolves	-
138 - 2021-03-14	1007	Chicago Wolves	-	Rouyn-Noranda Huskies	-
141 - 2021-03-17	1032	CCCP Red Army	-	Chicago Wolves	-
144 - 2021-03-20	1052	Chicago Wolves	-	Manitoba Moose	-
146 - 2021-03-22	1065	Mercer Island Hafgufa	-	Chicago Wolves	-
150 - 2021-03-26	1094	Chicago Wolves	-	Gatineau Olympiques	-
151 - 2021-03-27	1101	Joliette Sportif	-	Chicago Wolves	-
155 - 2021-03-31	1129	Springfield Falcons	-	Chicago Wolves	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
159 - 2021-04-04	1153	Chicago Wolves	-	Albany Devils	-
160 - 2021-04-05	1161	Peoria Rivermen	-	Chicago Wolves	-
164 - 2021-04-09	1190	Henderson Silver Knights	-	Chicago Wolves	-
168 - 2021-04-13	1222	Joliette Sportif	-	Chicago Wolves	-
170 - 2021-04-15	1232	Chicago Wolves	-	CCCP Red Army	-
172 - 2021-04-17	1250	Chicago Wolves	-	The Nuuk Vikings	-
174 - 2021-04-19	1257	Las Vegas Gamblers	-	Chicago Wolves	-
176 - 2021-04-21	1264	Chicago Wolves	-	Houston Aeros	-
179 - 2021-04-24	1283	Chicago Wolves	-	Lake Erie Monsters	-
180 - 2021-04-25	1287	Chicago Wolves	-	Laval Chiefs	-
181 - 2021-04-26	1292	Las Vegas Gamblers	-	Chicago Wolves	-
186 - 2021-05-01	1310	Chicago Wolves	-	Lake Erie Monsters	-
187 - 2021-05-02	1316	Chicago Wolves	-	Laval Chiefs	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	40	20
Assistance	25,987	12,985
Assistance PCT	99.95%	99.88%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
27	2998 - 99.93%	99,937$	1,299,180$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
985,460$	2,687,500$	2,687,500$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
14,295$	757,548$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
2,698,297$	131	18,285$	2,395,335$

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