LHSIR - Wolves

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Andy Andreoff	X	X			100.00	79	44	95	70	74	52	81	54	46	57	55	61	25	63	64	61	50	0	0	29	2	677,500$
2	Brett Ritchie			X		100.00	98	70	78	77	81	56	64	62	36	62	58	55	25	65	66	63	50	0	0	26	1	1,750,000$
3	Dylan Gambrell	X				100.00	71	55	89	62	72	61	79	63	72	61	59	73	25	50	51	65	50	0	0	23	2	1,137,000$
4	Michael Chaput	X	X			100.00	78	75	86	73	75	74	78	63	79	55	64	70	61	60	60	66	50	0	0	28	2	1,000,000$
5	Sam Gagner	X		X		100.00	65	42	90	76	72	65	78	67	48	63	66	57	61	79	80	66	51	0	0	30	2	3,150,000$
6	Tim Schaller		X	X		100.00	75	44	91	78	78	59	70	56	36	52	59	91	25	62	63	66	50	0	0	29	2	775,000$
7	Trent Frederic (R)	X				100.00	64	75	37	65	75	78	83	59	74	60	53	58	50	45	45	58	50	0	0	22	3	1,137,500$
8	David Gustafsson (R)	X				100.00	59	41	99	80	71	45	57	51	64	50	57	69	25	46	46	60	50	0	0	20	3	925,000$
9	Jason Robertson (R)		X			100.00	77	73	86	74	73	77	80	65	50	59	67	66	64	44	44	69	50	0	0	20	3	894,167$
10	Joona Luoto (R)		X	X		100.00	67	42	95	73	70	46	64	52	25	50	55	72	25	45	45	60	50	0	0	22	1	1,012,500$
11	Laurent Dauphin	X	X	X		100.00	71	68	79	64	68	72	76	60	75	56	60	62	57	47	47	63	50	0	0	25	1	1,000,000$
12	Jakub Lauko (R)	X	X			100.00	66	64	70	60	64	55	55	56	70	48	59	58	56	44	44	58	50	0	0	20	3	894,167$
13	Jonas Siegenthaler				X	100.00	71	54	81	68	82	67	79	56	25	49	48	91	25	58	59	63	50	0	0	23	3	1,758,333$
14	Noah Juulsen				X	100.00	74	67	90	53	67	47	47	48	25	41	39	60	37	45	45	50	50	0	0	23	2	1,063,333$
15	Ville Heinola (R)				X	100.00	76	66	99	80	66	50	50	50	25	47	39	62	37	44	44	53	50	0	0	19	3	1,137,500$
16	Jordan Schmaltz				X	100.00	75	72	82	68	72	63	67	51	25	45	41	63	39	49	49	54	50	0	0	26	1	700,000$
17	Travis Sanheim				X	100.00	67	42	86	80	70	80	93	67	25	59	53	80	25	60	61	67	50	0	0	24	1	1,263,333$
18	Vince Dunn				X	100.00	69	53	88	85	73	69	92	72	25	54	54	58	25	60	61	63	50	0	0	23	1	894,167$
Rayé
1	Boris Katchouk (R)		X			100.00	75	71	84	61	71	80	85	60	50	56	59	64	56	44	44	63	50	0	0	22	3	894,166$
2	Glenn Gawdin (R)	X				100.00	75	71	84	64	71	74	76	66	80	67	61	65	58	44	44	65	50	0	0	23	3	925,000$
3	Mackenzie MacEachern (R)		X			100.00	81	56	81	62	72	52	74	63	31	56	66	67	25	55	55	66	50	0	0	26	3	750,000$
4	Yannick Veilleux (R)		X			100.00	76	76	77	61	76	59	58	64	50	56	68	65	65	44	44	65	50	0	0	27	1	833,333$
5	MacKenzie Entwistle (R)			X		100.00	73	70	80	63	70	70	74	58	50	54	58	62	55	44	44	61	50	0	0	20	3	894,167$
6	Jake Walman (R)				X	100.00	70	65	83	71	65	74	79	55	25	47	48	61	46	48	48	58	50	0	0	24	3	925,000$
7	Niko Mikkola (R)				X	100.00	75	71	85	68	71	73	79	49	25	43	40	61	38	44	44	54	50	0	0	26	3	925,000$
8	Andrew Peeke (R)				X	100.00	76	44	93	76	74	63	63	57	25	48	48	63	25	46	46	58	50	0	0	22	3	1,491,667$

	MOYENNE D'ÉQUIPE					100.00	73	60	84	70	72	64	72	59	45	54	55	66	41	51	52	61	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
1	Casey DeSmith	100.00	57	68	85	66	55	61	51	60	56	55	30	48	48	58	50	0	0
2	Ville Husso (R)	100.00	59	64	80	81	59	64	56	64	62	61	30	44	44	61	46	0	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	58	66	83	74	57	63	54	62	59	58	30	46	46	60	48	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Patrick Roy	73	71	72	70	82	77	69	CAN	56	3	1,000,000$

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	P/20	PSG	PSS	FL	FT	S1	S2	S3
1	Travis Sanheim	Wolves (STL)	D	44	5	22	27	2	52	0	44	48	68	17	47	7.35%	61	1043	23.71	3	8	11	54	202	0	1	1	1	214	0	0	0.00%	0	0.52	0	0	0	0	2	1	4
2	Sven Baertschi	Blues	LW	40	11	12	23	-3	18	0	38	98	72	23	58	15.28%	10	864	21.61	3	6	9	15	160	0	0	0	3	192	3	0	44.01%	459	0.53	1	4	0	0	3	1	2
3	Michael Chaput	Wolves (STL)	C/LW	45	7	15	22	4	51	15	44	93	88	24	59	7.95%	5	692	15.38	0	2	2	8	77	0	0	0	0	34	0	0	62.55%	550	0.64	1	1	1	2	0	4	2
4	Tim Schaller	Wolves (STL)	LW/RW	40	8	14	22	3	12	0	20	56	81	28	65	9.88%	5	673	16.84	3	4	7	27	171	0	0	0	1	55	0	1	42.31%	52	0.65	0	0	0	0	0	3	1
5	Jason Robertson	Wolves (STL)	LW	45	9	13	22	2	32	0	31	62	97	37	72	9.28%	5	728	16.19	0	1	1	5	70	1	0	1	2	58	1	0	46.03%	63	0.60	0	0	0	0	3	0	0
6	Sam Gagner	Wolves (STL)	C/RW	36	8	9	17	2	4	0	15	38	50	12	19	16.00%	5	716	19.90	2	6	8	13	156	0	0	0	1	156	0	2	52.78%	593	0.47	1	5	0	0	4	0	0
7	Jonas Siegenthaler	Wolves (STL)	D	45	6	9	15	-6	30	0	53	44	55	17	31	10.91%	46	938	20.86	5	3	8	38	179	0	0	0	0	186	4	0	0.00%	0	0.32	0	0	0	0	0	2	3
8	Vince Dunn	Wolves (STL)	D	45	3	12	15	-8	38	0	48	22	44	18	24	6.82%	27	986	21.92	3	1	4	37	183	0	0	0	0	195	0	0	0.00%	0	0.30	0	0	0	0	0	0	1
9	Devin Shore	Blues	C/LW	40	2	12	14	-1	8	0	15	58	47	10	35	4.26%	3	764	19.10	0	4	4	10	162	0	0	0	0	114	0	0	48.08%	676	0.37	0	2	0	0	1	0	1
10	Brett Ritchie	Wolves (STL)	RW	45	8	5	13	2	78	10	137	31	57	10	31	14.04%	3	714	15.89	1	1	2	7	178	0	0	0	0	17	0	2	32.65%	49	0.36	0	1	1	1	2	1	1
11	Ryan Lindgren	Blues	D	38	2	10	12	1	74	0	104	38	27	5	21	7.41%	31	727	19.14	0	4	4	12	103	0	0	0	1	104	0	1	0.00%	0	0.33	0	0	0	0	0	0	0
12	Noah Juulsen	Wolves (STL)	D	45	0	11	11	-17	60	10	98	33	19	11	12	0.00%	39	761	16.93	0	1	1	9	42	0	0	0	0	98	0	0	0.00%	0	0.29	0	0	0	2	0	1	0
13	Glenn Gawdin	Wolves (STL)	C	31	3	7	10	-1	20	0	33	36	21	5	11	14.29%	9	382	12.33	0	0	0	0	4	0	0	0	0	7	0	0	58.49%	159	0.52	0	0	0	0	1	0	2
14	David Gustafsson	Wolves (STL)	C	44	2	8	10	-1	4	0	3	71	63	12	35	3.17%	2	495	11.26	0	2	2	3	28	0	0	0	0	11	0	0	51.72%	379	0.40	0	0	0	0	0	0	0
15	Jason Dickinson	Blues	C/LW/RW	22	6	3	9	-6	14	0	31	30	44	13	36	13.64%	6	397	18.07	5	1	6	13	104	0	0	0	1	22	2	0	51.52%	132	0.45	0	0	0	0	1	0	4
16	Austin Poganski	Blues	RW	18	2	3	5	1	24	0	21	12	15	4	11	13.33%	3	221	12.31	0	0	0	0	6	0	0	0	0	0	0	1	66.67%	6	0.45	0	0	0	0	0	1	0
17	Barrett Hayton	Blues	C/LW	36	3	2	5	-4	2	0	7	19	22	5	13	13.64%	1	230	6.41	0	1	1	0	35	0	0	0	2	33	0	1	39.80%	98	0.43	0	0	0	0	0	0	0
18	Laurent Dauphin	Wolves (STL)	C/LW/RW	31	3	2	5	-3	14	0	22	23	23	9	21	13.04%	2	352	11.38	1	0	1	2	12	0	0	0	0	13	0	0	48.39%	31	0.28	0	0	0	0	0	1	0
19	Andy Andreoff	Wolves (STL)	C/LW	45	0	2	2	-9	23	5	21	27	21	5	14	0.00%	3	367	8.18	0	0	0	0	3	0	1	1	1	38	0	0	43.97%	116	0.11	0	0	0	1	0	0	0
20	Niko Mikkola	Wolves (STL)	D	9	0	2	2	3	8	0	15	0	2	1	1	0.00%	3	132	14.71	0	0	0	0	3	0	0	0	0	15	0	0	0.00%	0	0.30	0	0	0	0	0	0	0
21	Ville Heinola	Wolves (STL)	D	28	0	2	2	0	18	0	23	11	4	4	4	0.00%	9	455	16.28	0	0	0	0	42	0	0	0	0	49	0	0	0.00%	0	0.09	0	0	0	0	0	0	0
22	Trent Frederic	Wolves (STL)	C	12	1	0	1	1	7	5	5	4	2	3	3	50.00%	0	69	5.75	0	0	0	1	9	0	0	0	0	7	1	0	35.29%	17	0.29	0	0	0	1	0	0	1
23	Dylan Gambrell	Wolves (STL)	C	3	0	0	0	-6	2	0	1	1	5	1	2	0.00%	1	41	13.94	0	0	0	1	1	0	0	0	0	0	0	0	50.00%	30	0.00	0	0	0	0	0	0	0
24	Andrew Peeke	Wolves (STL)	D	2	0	0	0	0	4	0	1	1	1	1	0	0.00%	0	39	19.77	0	0	0	1	6	0	0	0	0	12	0	0	0.00%	0	0.00	0	0	0	0	0	0	0
25	Joona Luoto	Wolves (STL)	LW/RW	3	0	0	0	-4	0	0	1	3	2	1	2	0.00%	0	24	8.03	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0	0	0	0	0
26	Jordan Schmaltz	Wolves (STL)	D	7	0	0	0	-6	19	5	5	6	1	1	0	0.00%	2	100	14.39	0	0	0	0	3	0	0	0	0	7	0	0	0.00%	0	0.00	0	0	1	0	0	0	0
27	Jakub Lauko	Wolves (STL)	C/LW	1	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	6	6.08	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	1	0.00	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				800	89	175	264	-54	616	50	836	865	931	277	627	9.56%	281	12929	16.16	26	45	71	256	1949	1	2	3	13	1649	11	8	50.95%	3411	0.41	3	13	3	7	17	15	22

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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	PIM	SO	GA	SA	EG	PS %	PSA	ST	BG	S1	S3
1	Ville Husso	Wolves (STL)	44	14	24	6	0.872	2.51	2602	12	2	109	851	1	0.750	16	44	0	2	3
2	Casey DeSmith	Wolves (STL)	4	1	0	0	0.932	1.79	134	0	0	4	59	0	1.000	3	1	45	0	0
Stats d'équipe Total ou en Moyenne			48	15	24	6	0.876	2.48	2736	12	2	113	910	1	0.789	19	45	45	2	3

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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	Link
Andrew Peeke	Wolves (STL)	D	22	1998-03-17	Yes	198 Lbs	6 ft3	No	No	No	3	Pro & Farm	1,491,667$	649,597$	1,491,667$	649,597$	0$	0$	No	1,491,667$	1,491,667$
Andy Andreoff	Wolves (STL)	C/LW	29	1991-05-17	No	203 Lbs	6 ft1	No	No	No	2	Pro & Farm	677,500$	295,040$	677,500$	295,040$	0$	0$	No	677,500$		Lien
Boris Katchouk	Wolves (STL)	LW	22	1998-06-18	Yes	192 Lbs	6 ft1	No	No	No	3	Pro & Farm	894,166$	389,395$	894,166$	389,395$	0$	0$	No	894,166$	894,166$
Brett Ritchie	Wolves (STL)	RW	26	1993-07-01	No	217 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,750,000$	762,097$	1,750,000$	762,097$	0$	0$	No			Lien
Casey DeSmith	Wolves (STL)	G	28	1991-08-12	No	181 Lbs	6 ft0	No	No	No	2	Pro & Farm	675,000$	293,952$	675,000$	293,952$	0$	0$	No	675,000$		Lien
David Gustafsson	Wolves (STL)	C	20	2000-04-11	Yes	194 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	402,823$	925,000$	402,823$	0$	0$	No	925,000$	925,000$
Dylan Gambrell	Wolves (STL)	C	23	1996-08-26	No	195 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,137,000$	495,145$	1,137,000$	495,145$	0$	0$	No	1,137,000$		Lien
Glenn Gawdin	Wolves (STL)	C	23	1997-03-25	Yes	191 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	402,823$	925,000$	402,823$	0$	0$	No	925,000$	925,000$
Jake Walman	Wolves (STL)	D	24	1996-02-19	Yes	170 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	402,823$	925,000$	402,823$	0$	0$	No	925,000$	925,000$
Jakub Lauko	Wolves (STL)	C/LW	20	2000-03-28	Yes	170 Lbs	6 ft0	No	No	No	3	Pro & Farm	894,167$	389,395$	894,167$	389,395$	0$	0$	No	894,167$	894,167$
Jason Robertson	Wolves (STL)	LW	20	1999-07-21	Yes	195 Lbs	6 ft2	No	No	No	3	Pro & Farm	894,167$	389,395$	894,167$	389,395$	0$	0$	No	894,167$	894,167$
Jonas Siegenthaler	Wolves (STL)	D	23	1997-05-06	No	220 Lbs	6 ft3	No	No	No	3	Pro & Farm	1,758,333$	765,726$	883,333$	384,677$	0$	0$	No	883,333$	883,333$	Lien
Joona Luoto	Wolves (STL)	LW/RW	22	1997-09-26	Yes	185 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,012,500$	440,927$	1,000,000$	435,484$	0$	0$	No			Lien
Jordan Schmaltz	Wolves (STL)	D	26	1993-10-08	No	190 Lbs	6 ft2	No	No	No	1	Pro & Farm	700,000$	304,839$	700,000$	304,839$	0$	0$	No			Lien
Laurent Dauphin	Wolves (STL)	C/LW/RW	25	1995-03-27	No	180 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,000,000$	435,484$	1,000,000$	435,484$	0$	0$	No			Lien
MacKenzie Entwistle	Wolves (STL)	RW	20	1999-07-13	Yes	184 Lbs	6 ft3	No	No	No	3	Pro & Farm	894,167$	389,395$	894,167$	389,395$	0$	0$	No	894,167$	894,167$
Mackenzie MacEachern	Wolves (STL)	LW	26	1994-03-08	Yes	190 Lbs	6 ft2	No	No	No	3	Pro & Farm	750,000$	326,613$	750,000$	326,613$	0$	0$	No	750,000$	750,000$
Michael Chaput	Wolves (STL)	C/LW	28	1992-04-08	No	204 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,000,000$	435,484$	1,000,000$	435,484$	0$	0$	No	1,000,000$		Lien
Niko Mikkola	Wolves (STL)	D	26	1994-04-26	Yes	184 Lbs	6 ft4	No	No	No	3	Pro & Farm	925,000$	402,823$	925,000$	402,823$	0$	0$	No	925,000$	925,000$
Noah Juulsen	Wolves (STL)	D	23	1997-04-02	No	175 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,063,333$	463,064$	1,063,333$	463,064$	0$	0$	No	1,063,333$		Lien
Sam Gagner	Wolves (STL)	C/RW	30	1989-08-09	No	200 Lbs	5 ft11	No	No	No	2	Pro & Farm	3,150,000$	1,371,774$	3,150,000$	1,371,774$	0$	0$	No	3,150,000$		Lien
Tim Schaller	Wolves (STL)	LW/RW	29	1990-11-16	No	210 Lbs	6 ft2	No	No	No	2	Pro & Farm	775,000$	337,500$	775,000$	337,500$	0$	0$	No	775,000$		Lien
Travis Sanheim	Wolves (STL)	D	24	1996-03-28	No	181 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,263,333$	550,161$	1,263,333$	550,161$	0$	0$	No			Lien
Trent Frederic	Wolves (STL)	C	22	1998-02-11	Yes	203 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,137,500$	495,363$	1,137,500$	495,363$	0$	0$	No	1,137,500$	1,137,500$
Ville Heinola	Wolves (STL)	D	19	2001-03-02	Yes	181 Lbs	5 ft11	No	No	No	3	Pro & Farm	1,137,500$	495,363$	1,137,500$	495,363$	0$	0$	No	1,137,500$	1,137,500$
Ville Husso	Wolves (STL)	G	25	1995-02-05	Yes	205 Lbs	6 ft3	No	No	No	3	Pro & Farm	700,000$	304,839$	700,000$	304,839$	0$	0$	No	700,000$	700,000$
Vince Dunn	Wolves (STL)	D	23	1996-10-28	No	203 Lbs	6 ft0	No	No	No	1	Pro & Farm	894,167$	389,395$	894,167$	389,395$	0$	0$	No			Lien
Yannick Veilleux	Wolves (STL)	LW	27	1993-02-22	Yes	206 Lbs	6 ft2	No	No	No	1	Pro & Farm	833,333$	362,903$	450,000$	195,968$	0$	0$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
28	24.11	193 Lbs	6 ft2	2.25	1,077,958$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Tim Schaller	Sam Gagner	Brett Ritchie	35	1	2	2
2	Jason Robertson	Michael Chaput	Laurent Dauphin	30	1	2	2
3	Joona Luoto	Andy Andreoff	Dylan Gambrell	25	1	2	2
4	Jakub Lauko	Dylan Gambrell	Sam Gagner	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Travis Sanheim	Vince Dunn	35	1	2	2
2	Jonas Siegenthaler	Ville Heinola	30	1	2	2
3	Jordan Schmaltz	Noah Juulsen	25	1	2	2
4	Travis Sanheim	Vince Dunn	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Tim Schaller	Sam Gagner	Brett Ritchie	60	1	2	2
2	Jason Robertson	Michael Chaput	Laurent Dauphin	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Travis Sanheim	Vince Dunn	60	1	2	2
2	Jonas Siegenthaler	Ville Heinola	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Sam Gagner	Tim Schaller	60	1	2	2
2	Brett Ritchie	Jason Robertson	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Travis Sanheim	Vince Dunn	60	1	2	2
2	Jonas Siegenthaler	Ville Heinola	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Sam Gagner	60	1	2	2	Travis Sanheim	Vince Dunn	60	1	2	2
2	Tim Schaller	40	1	2	2	Jonas Siegenthaler	Ville Heinola	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Sam Gagner	Tim Schaller	60	1	2	2
2	Brett Ritchie	Jason Robertson	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Travis Sanheim	Vince Dunn	60	1	2	2
2	Jonas Siegenthaler	Ville Heinola	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Tim Schaller	Sam Gagner	Brett Ritchie	Travis Sanheim	Vince Dunn

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Tim Schaller	Sam Gagner	Brett Ritchie	Travis Sanheim	Vince Dunn

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
David Gustafsson, Trent Frederic, Andy Andreoff	David Gustafsson, Trent Frederic	Andy Andreoff

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jordan Schmaltz, Noah Juulsen, Jonas Siegenthaler	Jordan Schmaltz	Noah Juulsen, Jonas Siegenthaler

Tirs de Pénalité
Sam Gagner, Tim Schaller, Brett Ritchie, Jason Robertson, Michael Chaput

Gardien
#1 : Ville Husso, #2 : Casey DeSmith

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

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

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	Condors	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	29	26	30	4	10	295	253	275	30	23	8	19	21	6	1	16.67%	6	1	83.33%	0	600	1199	50.04%	600	1234	48.62%	337	642	52.49%	1138	783	1033	331	569	290
2	Crunch	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	29	26	30	4	19	295	253	275	30	30	6	14	22	5	1	20.00%	6	2	66.67%	0	600	1199	50.04%	600	1234	48.62%	337	642	52.49%	1138	783	1033	331	569	290
3	Flames	2	1	1	0	0	0	0	0	6	5	1	2	1	1	0	0	0	0	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	2	0.500	6	10	16	1	1	29	26	30	4	35	295	253	275	30	35	13	34	45	11	1	9.09%	16	3	81.25%	0	600	1199	50.04%	600	1234	48.62%	337	642	52.49%	1138	783	1033	331	569	290
4	IceHogs	7	1	5	0	0	0	1	0	12	17	-5	3	1	1	0	0	0	1	0	8	6	2	4	0	4	0	0	0	0	0	4	11	-7	4	0.286	12	21	33	0	0	29	26	30	4	119	295	253	275	30	143	31	93	140	39	4	10.26%	42	8	80.95%	0	600	1199	50.04%	600	1234	48.62%	337	642	52.49%	1138	783	1033	331	569	290
5	Marlies	2	1	0	0	1	0	0	0	8	6	2	1	0	0	0	1	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	4	1.000	8	16	24	0	0	29	26	30	4	54	295	253	275	30	40	7	21	30	12	3	25.00%	8	1	87.50%	0	600	1199	50.04%	600	1234	48.62%	337	642	52.49%	1138	783	1033	331	569	290
6	Monarchs	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	3	1	2	1.000	4	7	11	0	0	29	26	30	4	19	295	253	275	30	15	6	18	15	6	0	0.00%	7	1	85.71%	0	600	1199	50.04%	600	1234	48.62%	337	642	52.49%	1138	783	1033	331	569	290
7	Moose	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	29	26	30	4	18	295	253	275	30	16	7	14	13	7	2	28.57%	7	0	100.00%	0	600	1199	50.04%	600	1234	48.62%	337	642	52.49%	1138	783	1033	331	569	290
8	Penguins	2	0	2	0	0	0	0	0	2	7	-5	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	2	7	-5	0	0.000	2	4	6	0	0	29	26	30	4	40	295	253	275	30	34	5	25	40	13	1	7.69%	9	2	77.78%	0	600	1199	50.04%	600	1234	48.62%	337	642	52.49%	1138	783	1033	331	569	290
9	Rampage	6	3	2	0	0	1	0	0	12	11	1	3	1	2	0	0	0	0	0	5	6	-1	3	2	0	0	0	1	0	0	7	5	2	7	0.583	12	24	36	0	1	29	26	30	4	167	295	253	275	30	117	39	58	120	28	1	3.57%	26	4	84.62%	1	600	1199	50.04%	600	1234	48.62%	337	642	52.49%	1138	783	1033	331	569	290
10	Rocket	1	0	0	0	0	0	0	1	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	1	2	-1	1	0.500	1	2	3	0	0	29	26	30	4	19	295	253	275	30	26	5	12	20	4	0	0.00%	6	0	100.00%	0	600	1199	50.04%	600	1234	48.62%	337	642	52.49%	1138	783	1033	331	569	290
11	Senators	1	0	0	0	0	0	1	0	3	2	1	1	0	0	0	0	0	1	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	2	5	0	0	29	26	30	4	18	295	253	275	30	22	7	20	18	7	0	0.00%	10	0	100.00%	0	600	1199	50.04%	600	1234	48.62%	337	642	52.49%	1138	783	1033	331	569	290
12	Sharks	2	0	1	0	0	0	1	0	3	5	-2	1	0	0	0	0	0	1	0	3	2	1	1	0	1	0	0	0	0	0	0	3	-3	2	0.500	3	4	7	0	0	29	26	30	4	26	295	253	275	30	44	13	32	58	11	0	0.00%	16	3	81.25%	0	600	1199	50.04%	600	1234	48.62%	337	642	52.49%	1138	783	1033	331	569	290
13	Soldiers	6	1	4	0	0	0	0	1	9	17	-8	3	0	3	0	0	0	0	0	4	8	-4	3	1	1	0	0	0	0	1	5	9	-4	3	0.250	9	17	26	0	0	29	26	30	4	106	295	253	275	30	120	41	104	87	41	3	7.32%	43	7	83.72%	1	600	1199	50.04%	600	1234	48.62%	337	642	52.49%	1138	783	1033	331	569	290
14	Stars	7	2	4	0	0	1	0	0	14	18	-4	4	2	1	0	0	1	0	0	11	8	3	3	0	3	0	0	0	0	0	3	10	-7	5	0.357	14	26	40	0	0	29	26	30	4	121	295	253	275	30	150	35	96	152	27	2	7.41%	46	8	82.61%	0	600	1199	50.04%	600	1234	48.62%	337	642	52.49%	1138	783	1033	331	569	290
	Total	45	11	24	0	1	3	3	3	89	117	-28	22	6	10	0	1	2	3	0	53	53	0	23	5	14	0	0	1	0	3	36	64	-28	36	0.400	89	161	250	1	2	29	26	30	4	835	295	253	275	30	911	237	636	889	237	20	8.44%	278	48	82.73%	2	600	1199	50.04%	600	1234	48.62%	337	642	52.49%	1138	783	1033	331	569	290
15	Wolf Pack	5	0	4	0	0	0	0	1	8	16	-8	2	0	2	0	0	0	0	0	4	8	-4	3	0	2	0	0	0	0	1	4	8	-4	1	0.100	8	14	22	0	0	29	26	30	4	64	295	253	275	30	96	14	76	108	20	1	5.00%	30	8	73.33%	0	600	1199	50.04%	600	1234	48.62%	337	642	52.49%	1138	783	1033	331	569	290
	_Since Last GM Reset	45	11	24	0	1	3	3	3	89	117	-28	22	6	10	0	1	2	3	0	53	53	0	23	5	14	0	0	1	0	3	36	64	-28	36	0.400	89	161	250	1	2	29	26	30	4	835	295	253	275	30	911	237	636	889	237	20	8.44%	278	48	82.73%	2	600	1199	50.04%	600	1234	48.62%	337	642	52.49%	1138	783	1033	331	569	290
	_Vs Conference	31	9	16	0	0	3	2	1	59	76	-17	16	5	7	0	0	2	2	0	36	35	1	15	4	9	0	0	1	0	1	23	41	-18	26	0.419	59	109	168	0	1	29	26	30	4	586	295	253	275	30	628	180	434	606	165	13	7.88%	193	32	83.42%	2	600	1199	50.04%	600	1234	48.62%	337	642	52.49%	1138	783	1033	331	569	290
	_Vs Division	26	7	15	0	0	2	1	1	47	63	-16	13	4	7	0	0	1	1	0	28	28	0	13	3	8	0	0	1	0	1	19	35	-16	19	0.365	47	88	135	0	1	29	26	30	4	513	295	253	275	30	530	146	351	499	135	10	7.41%	157	27	82.80%	2	600	1199	50.04%	600	1234	48.62%	337	642	52.49%	1138	783	1033	331	569	290

			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
45	36	L6	89	161	250	835	911	237	636	889	1	2

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
45	11	24	1	3	3	3	89	117

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
22	6	10	1	2	3	0	53	53

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
23	5	14	0	1	0	3	36	64

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	7	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
237	20	8.44%	278	48	82.73%	2

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
295	253	275	30	29	26	30	4

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
600	1199	50.04%	600	1234	48.62%	337	642	52.49%

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
1138	783	1033	331	569	290

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	SO	Lien
1 - 2020-09-27	6	Rampage	2	Wolves	1	L			Sommaire du Match
3 - 2020-09-29	23	Wolves	1	Wolf Pack	2	L			Sommaire du Match
4 - 2020-09-30	31	Wolf Pack	4	Wolves	2	L			Sommaire du Match
5 - 2020-10-01	43	Wolves	2	Wolf Pack	3	L	X	X	Sommaire du Match
6 - 2020-10-02	48	IceHogs	3	Wolves	1	L			Sommaire du Match
9 - 2020-10-05	64	Wolves	2	Crunch	3	L			Sommaire du Match
10 - 2020-10-06	69	Wolves	1	IceHogs	3	L			Sommaire du Match
12 - 2020-10-08	81	Soldiers	4	Wolves	3	L			Sommaire du Match
14 - 2020-10-10	93	Stars	2	Wolves	1	L	X		Sommaire du Match
17 - 2020-10-13	108	Wolves	1	Rampage	0	W			Sommaire du Match
18 - 2020-10-14	113	Soldiers	2	Wolves	1	L			Sommaire du Match
20 - 2020-10-16	125	Wolves	1	Soldiers	5	L			Sommaire du Match
21 - 2020-10-17	135	Wolves	2	IceHogs	3	L			Sommaire du Match
22 - 2020-10-18	143	Wolves	1	Stars	3	L			Sommaire du Match
23 - 2020-10-19	154	Stars	2	Wolves	5	W			Sommaire du Match
24 - 2020-10-20	163	Wolves	4	Rampage	2	W			Sommaire du Match
26 - 2020-10-22	176	Rampage	1	Wolves	3	W			Sommaire du Match
28 - 2020-10-24	195	Marlies	3	Wolves	4	W	X		Sommaire du Match
30 - 2020-10-26	200	Wolves	0	Sharks	3	L			Sommaire du Match
32 - 2020-10-28	209	Wolves	1	Wolf Pack	3	L			Sommaire du Match
34 - 2020-10-30	220	Flames	0	Wolves	3	W			Sommaire du Match
36 - 2020-11-01	234	Rampage	3	Wolves	1	L			Sommaire du Match
38 - 2020-11-03	246	Condors	2	Wolves	3	W			Sommaire du Match
40 - 2020-11-05	256	Wolves	1	Stars	5	L			Sommaire du Match
42 - 2020-11-07	270	Soldiers	2	Wolves	0	L			Sommaire du Match
45 - 2020-11-10	284	Wolves	1	Stars	2	L			Sommaire du Match
46 - 2020-11-11	296	Moose	3	Wolves	2	L	X		Sommaire du Match
48 - 2020-11-13	311	Wolves	2	Soldiers	3	L	X	X	Sommaire du Match
49 - 2020-11-14	319	Stars	1	Wolves	4	W			Sommaire du Match
50 - 2020-11-15	330	Wolves	4	Monarchs	3	W			Sommaire du Match
51 - 2020-11-16	338	IceHogs	2	Wolves	3	W	X	X	Sommaire du Match
53 - 2020-11-18	355	Sharks	2	Wolves	3	W	X	X	Sommaire du Match
54 - 2020-11-19	366	Wolves	1	Rocket	2	L	X	X	Sommaire du Match
55 - 2020-11-20	373	Wolves	2	Rampage	3	L	X		Sommaire du Match
56 - 2020-11-21	385	IceHogs	1	Wolves	4	W			Sommaire du Match
58 - 2020-11-23	399	Wolf Pack	4	Wolves	2	L			Sommaire du Match
59 - 2020-11-24	413	Wolves	4	Marlies	3	W			Sommaire du Match
60 - 2020-11-25	420	Senators	2	Wolves	3	W	X	X	Sommaire du Match
61 - 2020-11-26	424	Wolves	2	Soldiers	1	W			Sommaire du Match
63 - 2020-11-28	442	Flames	5	Wolves	3	L			Sommaire du Match
64 - 2020-11-29	447	Wolves	0	IceHogs	3	L			Sommaire du Match
66 - 2020-12-01	463	Stars	3	Wolves	1	L			Sommaire du Match
67 - 2020-12-02	472	Wolves	2	Penguins	3	L			Sommaire du Match
68 - 2020-12-03	478	Wolves	1	IceHogs	2	L			Sommaire du Match
70 - 2020-12-05	495	Wolves	0	Penguins	4	L			Sommaire du Match
71 - 2020-12-06	501	Penguins	-	Wolves	-
73 - 2020-12-08	516	IceHogs	-	Wolves	-
74 - 2020-12-09	528	Sound Tigers	-	Wolves	-
75 - 2020-12-10	536	Wolves	-	IceHogs	-
77 - 2020-12-12	551	Rampage	-	Wolves	-
79 - 2020-12-14	561	Wolves	-	Stars	-
80 - 2020-12-15	572	Wolves	-	Bruins	-
81 - 2020-12-16	583	Wolf Pack	-	Wolves	-
83 - 2020-12-18	593	Wolves	-	Monarchs	-
85 - 2020-12-20	606	Bruins	-	Wolves	-
86 - 2020-12-21	617	Condors	-	Wolves	-
88 - 2020-12-23	633	Wolves	-	Griffins	-
89 - 2020-12-24	637	Wolves	-	Rampage	-
91 - 2020-12-26	647	Moose	-	Wolves	-
92 - 2020-12-27	661	Monarchs	-	Wolves	-
94 - 2020-12-29	677	Wolves	-	Admirals	-
95 - 2020-12-30	684	Wolves	-	Phantoms	-
96 - 2020-12-31	692	Soldiers	-	Wolves	-
97 - 2021-01-01	704	Wolves	-	Flames	-
98 - 2021-01-02	714	Phantoms	-	Wolves	-
99 - 2021-01-03	723	Wolves	-	Moose	-
101 - 2021-01-05	737	Monarchs	-	Wolves	-
102 - 2021-01-06	745	Wolves	-	Sharks	-
103 - 2021-01-07	753	Wolves	-	Condors	-
104 - 2021-01-08	764	Crunch	-	Wolves	-
105 - 2021-01-09	777	Wolves	-	Admirals	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
107 - 2021-01-11	788	Penguins	-	Wolves	-
109 - 2021-01-13	802	Rocket	-	Wolves	-
110 - 2021-01-14	813	Wolves	-	Monsters	-
112 - 2021-01-16	824	Admirals	-	Wolves	-
113 - 2021-01-17	832	Wolves	-	Sound Tigers	-
114 - 2021-01-18	844	Wolves	-	Senators	-
115 - 2021-01-19	849	Wolves	-	Wolf Pack	-
116 - 2021-01-20	854	Griffins	-	Wolves	-
117 - 2021-01-21	861	Wolves	-	Soldiers	-
119 - 2021-01-23	880	Penguins	-	Wolves	-
122 - 2021-01-26	901	Monsters	-	Wolves	-

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
19	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
2,664,783$	3,018,284$	2,891,201$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	2,100,267$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	54	32,406$	1,749,924$

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