SHAretro - Banshees

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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	Andrei Kovalenko (R)			X		99.00	72	55	66	70	75	70	69	75	67	79	79	72	68	32	35	81	79	68	0	24	2	620,000$
2	Wes Walz	X				100.00	58	44	75	73	70	72	72	74	66	74	78	76	72	40	40	81	70	68	0	24	1	300,000$
3	Greg Gilbert		X			100.00	59	43	83	65	72	71	71	70	63	66	65	79	64	61	68	24	80	66	0	32	2	550,000$
4	Ryan Walter (C)	X				100.00	55	46	68	62	73	72	71	67	62	66	64	82	63	80	78	1	80	66	0	36	2	325,000$
5	Steve Leach			X		100.00	74	58	68	63	74	71	72	74	66	72	75	73	71	42	43	53	78	66	0	28	2	525,000$
6	Garry Valk		X			100.00	69	55	68	63	75	75	76	65	62	71	66	81	64	35	35	62	80	65	0	27	1	500,000$
7	Jeff Daniels		X			100.00	55	41	80	67	75	68	70	69	65	72	62	73	60	48	51	68	60	64	0	26	1	250,000$
8	Craig Conroy	X				100.00	63	50	69	71	75	70	71	72	66	72	60	73	58	26	32	89	64	64	0	23	4	700,000$
9	Brian Rolston		X			100.00	54	44	73	71	74	67	66	71	65	71	68	75	64	28	28	97	79	64	0	21	2	500,000$
10	Mariusz Czerkawski (R)			X		100.00	56	44	72	69	73	67	67	74	65	72	71	63	66	30	33	95	76	63	0	22	2	400,000$
11	Martin Lapointe (R)			X		100.00	60	56	62	66	74	63	63	62	65	62	64	67	64	27	27	98	47	59	0	21	2	500,000$
12	Murray Baron (A)				X	100.00	74	61	64	62	78	76	76	60	56	71	56	87	51	43	44	61	80	67	0	27	3	635,000$
13	Jason Woolley				X	100.00	66	50	75	74	74	73	74	70	64	70	63	80	60	36	40	76	80	67	0	25	2	700,000$
14	Bill Berg (R) (A)				X	100.00	63	47	83	63	76	70	72	73	58	72	70	79	58	43	46	60	80	66	0	27	2	385,000$
15	Neil Wilkinson				X	100.00	76	61	67	67	73	69	71	61	58	64	42	81	40	45	53	59	22	65	0	27	1	525,000$
16	Peter Ahola				X	100.00	69	56	62	67	74	67	67	66	63	73	61	76	58	33	33	69	80	63	0	26	3	500,000$
17	Philippe Boucher (R)				X	100.00	64	50	71	64	77	64	64	64	58	67	52	77	48	27	30	98	75	62	0	21	2	250,000$
Rayé
1	Alexander Semak	X				96.74	70	60	64	67	71	73	72	81	72	82	78	69	70	35	38	47	56	68	0	29	1	475,000$
2	Terry Yake	X				100.00	65	49	80	70	72	71	73	67	64	67	64	75	63	62	64	68	32	66	0	26	1	440,000$
3	Jody Hull			X		100.00	64	48	79	71	74	70	71	71	67	71	72	74	68	46	40	74	36	66	0	25	3	535,000$
4	Jose Charbonneau			X		100.00	71	57	62	65	73	68	70	66	64	70	69	67	66	51	47	52	20	64	0	28	1	100,000$
5	Mike Sillinger	X				100.00	61	48	74	68	74	65	65	65	63	69	66	71	64	28	28	89	20	62	0	23	2	320,000$
6	Todd Warriner (R)		X			100.00	60	47	70	66	70	64	64	59	57	66	55	65	52	28	30	96	20	58	0	20	4	325,000$
7	Lyndon Byers			X		100.00	72	74	31	54	67	64	64	43	42	48	45	74	43	53	59	38	20	54	0	30	1	100,000$
8	Chris Joseph				X	100.00	70	50	76	65	78	65	66	64	61	70	48	80	45	47	52	68	67	65	0	26	1	310,000$

	MOYENNE D'ÉQUIPE					99.83	65	52	70	67	74	69	69	67	62	69	64	75	60	41	43	68	59	64

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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	Jim Hrivnak	100.00	71	74	80	77	76	76	81	86	81	74	72	45	41	68	62	72	0
2	Craig Billington	100.00	75	76	72	70	74	76	79	84	80	76	76	51	46	55	61	71	0
Rayé
1	Fred Brathwaite (R)	100.00	68	74	75	65	73	70	68	70	73	71	69	43	40	84	18	65	0

	MOYENNE D'ÉQUIPE	100.00	71	75	76	71	74	74	76	80	78	74	72	46	42	69	47	69

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
John Tortorella	78	77	81	77	74	84	90	USA	36	2	95,000$

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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	EG	HT	P/20	FW	FL	FT	S1	S2	S3
1	Wes Walz	Banshees (PHI)	C	76	38	42	80	18	24	0	69	193	263	62	167	14.45%	12	1434	18.88	13	20	33	88	337	0	0	0	4	130	8	1	50.28%	1808	0	0	1.12	0	0	0	4	5	6
2	Alexander Semak	Banshees (PHI)	C	64	31	40	71	10	61	15	105	120	194	60	161	15.98%	6	1156	18.08	10	19	29	66	278	0	0	0	1	31	6	2	53.06%	1489	1	1	1.23	0	0	3	8	6	3
3	Andrei Kovalenko	Banshees (PHI)	RW	68	30	32	62	0	59	5	186	95	196	53	154	15.31%	6	1296	19.07	11	15	26	52	325	0	0	0	0	25	5	0	48.05%	154	0	2	0.96	0	0	1	6	6	5
4	Murray Baron	Banshees (PHI)	D	82	10	45	55	-1	141	25	212	80	108	35	68	9.26%	108	1975	24.09	5	19	24	73	375	0	0	0	3	258	1	0	0.00%	0	0	0	0.56	0	1	4	4	0	4
5	Peter Ahola	Banshees (PHI)	D	82	16	38	54	21	103	5	140	75	93	41	63	17.20%	56	1616	19.71	12	9	21	65	319	0	0	0	0	120	1	0	0.00%	0	0	0	0.67	1	0	0	2	2	5
6	Bill Berg	Banshees (PHI)	D	82	6	48	54	24	12	0	49	86	96	23	78	6.25%	75	1518	18.52	5	11	16	55	241	0	0	0	0	63	1	0	0.00%	0	0	0	0.71	0	0	0	2	2	3
7	Brian Rolston	Banshees (PHI)	LW	81	15	38	53	1	6	0	37	123	170	51	118	8.82%	11	1493	18.43	3	20	23	41	307	0	0	0	6	192	1	1	39.45%	109	0	0	0.71	0	0	0	1	2	2
8	Jason Woolley	Banshees (PHI)	D	74	10	42	52	0	36	0	68	98	128	45	100	7.81%	82	1740	23.52	7	21	28	80	344	0	0	0	3	248	3	2	0.00%	0	0	0	0.60	0	0	0	3	2	0
9	Steve Leach	Banshees (PHI)	RW	73	16	30	46	17	69	5	122	77	139	47	90	11.51%	4	1021	13.99	2	11	13	24	121	0	0	0	0	1	2	2	50.72%	69	0	0	0.90	0	0	1	2	4	2
10	Mariusz Czerkawski	Banshees (PHI)	RW	72	23	22	45	3	14	0	63	57	132	49	72	17.42%	2	1004	13.95	14	10	24	55	304	0	0	0	0	0	4	1	55.07%	69	0	0	0.90	0	0	0	4	3	0
11	Greg Gilbert	Banshees (PHI)	LW	82	17	19	36	3	8	0	32	65	124	45	80	13.71%	11	996	12.15	3	5	8	13	79	0	0	0	2	79	3	1	53.16%	79	0	0	0.72	0	0	0	2	2	4
12	Chris Joseph	Banshees (PHI)	D	76	6	30	36	7	72	0	95	63	69	21	46	8.70%	90	1440	18.96	3	6	9	42	216	0	2	2	0	223	1	0	0.00%	0	0	0	0.50	0	0	0	2	3	1
13	Garry Valk	Banshees (PHI)	LW	82	16	16	32	2	49	5	92	76	129	34	83	12.40%	12	944	11.51	3	3	6	8	57	2	0	2	11	178	3	1	50.00%	90	0	0	0.68	0	1	0	1	2	6
14	Jeff Daniels	Banshees (PHI)	LW	59	14	18	32	20	12	0	16	51	86	20	78	16.28%	2	872	14.79	3	5	8	24	195	0	0	0	0	7	2	1	45.59%	68	0	0	0.73	0	0	0	2	2	2
15	Ryan Walter	Banshees (PHI)	C	82	18	10	28	-5	8	0	34	171	96	27	67	18.75%	18	1107	13.51	3	3	6	14	55	0	0	0	4	328	1	1	52.02%	1436	0	0	0.51	0	0	0	0	2	1
16	Craig Conroy	Banshees (PHI)	C	70	9	17	26	1	44	0	63	110	93	22	69	9.68%	6	859	12.28	1	2	3	15	113	0	0	0	3	73	0	0	49.65%	991	0	0	0.61	0	0	0	0	1	4
17	Philippe Boucher	Banshees (PHI)	D	73	2	20	22	15	42	0	56	62	20	16	23	10.00%	75	1248	17.11	1	2	3	3	30	0	1	1	1	221	0	0	0.00%	0	0	0	0.35	0	0	0	1	0	0
18	Dallas Drake	Flyers	LW	28	11	9	20	11	10	0	48	54	88	27	77	12.50%	12	611	21.84	1	0	1	17	124	0	0	0	2	105	2	1	48.28%	58	0	0	0.65	0	0	0	3	2	1
19	Terry Yake	Banshees (PHI)	C	35	4	9	13	7	10	0	21	52	38	9	26	10.53%	3	396	11.32	0	0	0	1	14	0	0	0	0	30	1	1	50.12%	413	0	0	0.66	0	0	0	0	0	0
20	Jody Hull	Banshees (PHI)	RW	33	6	4	10	-3	12	0	28	32	61	15	24	9.84%	4	386	11.71	1	0	1	5	38	0	0	0	1	6	2	0	45.45%	22	0	0	0.52	0	0	0	1	0	2
21	Martin Lapointe	Banshees (PHI)	RW	41	2	4	6	2	10	0	18	11	24	5	17	8.33%	0	329	8.04	0	0	0	1	7	0	0	0	0	5	0	1	57.14%	14	0	0	0.36	0	0	0	0	0	0
22	Jose Charbonneau	Banshees (PHI)	RW	25	0	5	5	6	10	0	35	7	15	5	11	0.00%	2	235	9.42	0	0	0	3	10	0	0	0	0	6	0	0	36.36%	22	0	0	0.42	0	0	0	0	1	0
23	Neil Wilkinson	Banshees (PHI)	D	23	1	1	2	-2	22	0	40	26	16	3	5	6.25%	18	416	18.09	1	0	1	7	47	0	0	0	0	66	1	0	0.00%	0	0	0	0.10	0	0	0	0	0	0
24	Mike Sillinger	Banshees (PHI)	C	5	0	1	1	0	4	0	2	7	1	1	4	0.00%	1	56	11.20	0	0	0	0	0	0	0	0	0	2	0	0	40.98%	61	0	0	0.36	0	0	0	0	0	0
25	Lyndon Byers	Banshees (PHI)	RW	9	0	1	1	2	6	0	11	2	0	0	0	0.00%	0	66	7.43	0	0	0	0	0	0	0	0	0	0	0	0	66.67%	3	0	0	0.30	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1477	301	541	842	159	844	60	1642	1793	2379	716	1681	12.65%	616	24226	16.40	102	181	283	752	3947	2	3	5	41	2408	48	16	50.81%	6955	1	3	0.70	1	2	9	48	47	51

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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	A	EG	ST	BG	S1	S2	S3
1	Jim Hrivnak	Banshees (PHI)	59	35	12	7	0.884	2.87	3237	4	2	155	1333	5	1	55	26	2	0	0
2	Craig Billington	Banshees (PHI)	29	12	11	3	0.882	2.79	1529	0	2	71	601	2	1	24	49	1	1	1
3	Fred Brathwaite	Banshees (PHI)	5	1	0	1	0.857	3.06	216	0	0	11	77	0	0	3	7	0	0	0
Stats d'équipe Total ou en Moyenne			93	48	23	11	0.882	2.85	4983	4	4	237	2011	7	2	82	82	3	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	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4
Alexander Semak	Banshees (PHI)	C	29	1992-02-09 9:08:37 PM	No	185 Lbs	5 ft10	No	No	No	1	Pro & Farm	475,000$	47,500$	349$	No
Andrei Kovalenko	Banshees (PHI)	RW	24	1997-02-09 9:08:37 PM	Yes	210 Lbs	5 ft10	No	No	No	2	Pro & Farm	620,000$	62,000$	456$	No	620,000$
Bill Berg	Banshees (PHI)	D	27	1994-02-09 9:08:37 PM	Yes	205 Lbs	6 ft1	No	No	No	2	Pro & Farm	385,000$	38,500$	283$	No	385,000$
Brian Rolston	Banshees (PHI)	LW	21	2000-02-09 9:08:37 PM	No	200 Lbs	6 ft2	No	No	No	2	Pro & Farm	500,000$	50,000$	368$	No	500,000$
Chris Joseph	Banshees (PHI)	D	26	1995-02-09 9:08:37 PM	No	210 Lbs	6 ft2	No	No	No	1	Pro & Farm	310,000$	31,000$	228$	No
Craig Billington	Banshees (PHI)	G	28	1993-02-09 9:08:37 PM	No	170 Lbs	5 ft10	No	No	No	3	Pro & Farm	780,000$	78,000$	574$	No	780,000$	780,000$
Craig Conroy	Banshees (PHI)	C	23	1998-02-09 9:08:37 PM	No	198 Lbs	6 ft2	No	No	No	4	Pro & Farm	700,000$	70,000$	515$	No	700,000$	700,000$	700,000$
Fred Brathwaite	Banshees (PHI)	G	22	1998-08-11 10:33:53 AM	Yes	185 Lbs	5 ft7	No	No	No	3	Pro & Farm	250,000$	25,000$	184$	No	250,000$	250,000$
Garry Valk	Banshees (PHI)	LW	27	1994-02-09 9:08:37 PM	No	205 Lbs	6 ft1	No	No	No	1	Pro & Farm	500,000$	50,000$	368$	No
Greg Gilbert	Banshees (PHI)	LW	32	1989-02-09 9:08:37 PM	No	195 Lbs	6 ft1	No	No	No	2	Pro & Farm	550,000$	55,000$	404$	No	550,000$
Jason Woolley	Banshees (PHI)	D	25	1996-02-09 9:08:37 PM	No	188 Lbs	6 ft1	No	No	No	2	Pro & Farm	700,000$	70,000$	515$	No	700,000$
Jeff Daniels	Banshees (PHI)	LW	26	1995-02-09 9:08:37 PM	No	200 Lbs	6 ft1	No	No	No	1	Pro & Farm	250,000$	25,000$	184$	No
Jim Hrivnak	Banshees (PHI)	G	26	1995-02-09 9:08:37 PM	No	185 Lbs	6 ft2	No	No	No	2	Pro & Farm	900,000$	90,000$	662$	No	900,000$
Jody Hull	Banshees (PHI)	RW	25	1996-02-09 9:08:37 PM	No	195 Lbs	6 ft2	No	No	No	3	Pro & Farm	535,000$	53,500$	393$	No	535,000$	535,000$
Jose Charbonneau	Banshees (PHI)	RW	28	1993-02-09 9:08:37 PM	No	195 Lbs	6 ft0	No	No	No	1	Pro & Farm	100,000$	10,000$	74$	No
Lyndon Byers	Banshees (PHI)	RW	30	1991-02-09 9:08:37 PM	No	190 Lbs	6 ft1	No	No	No	1	Pro & Farm	100,000$	10,000$	74$	No
Mariusz Czerkawski	Banshees (PHI)	RW	22	1999-02-09 9:08:37 PM	Yes	200 Lbs	6 ft0	No	No	No	2	Pro & Farm	400,000$	40,000$	294$	No	400,000$
Martin Lapointe	Banshees (PHI)	RW	21	2000-02-09 9:08:37 PM	Yes	200 Lbs	6 ft0	No	No	No	2	Pro & Farm	500,000$	50,000$	368$	No	500,000$
Mike Sillinger	Banshees (PHI)	C	23	1998-02-09 9:08:37 PM	No	200 Lbs	6 ft0	No	No	No	2	Pro & Farm	320,000$	32,000$	235$	No	320,000$
Murray Baron	Banshees (PHI)	D	27	1994-02-09 9:08:37 PM	No	218 Lbs	6 ft3	No	No	No	3	Pro & Farm	635,000$	63,500$	467$	No	635,000$	635,000$
Neil Wilkinson	Banshees (PHI)	D	27	1994-02-09 9:08:37 PM	No	180 Lbs	6 ft3	No	No	No	1	Pro & Farm	525,000$	52,500$	386$	No
Peter Ahola	Banshees (PHI)	D	26	1995-02-09 9:08:37 PM	No	205 Lbs	6 ft3	No	No	No	3	Pro & Farm	500,000$	50,000$	368$	No	500,000$	500,000$
Philippe Boucher	Banshees (PHI)	D	21	2000-02-09 9:08:37 PM	Yes	212 Lbs	6 ft3	No	No	No	2	Pro & Farm	250,000$	25,000$	184$	No	250,000$
Ryan Walter	Banshees (PHI)	C	36	1985-02-09 9:08:37 PM	No	195 Lbs	6 ft0	No	No	No	2	Pro & Farm	325,000$	32,500$	239$	No	325,000$
Steve Leach	Banshees (PHI)	RW	28	1993-02-09 9:08:37 PM	No	200 Lbs	5 ft11	No	No	No	2	Pro & Farm	525,000$	52,500$	386$	No	525,000$
Terry Yake	Banshees (PHI)	C	26	1995-02-09 9:08:37 PM	No	185 Lbs	5 ft11	No	No	No	1	Pro & Farm	440,000$	44,000$	324$	No
Todd Warriner	Banshees (PHI)	LW	20	2001-02-09 9:08:37 PM	Yes	182 Lbs	6 ft1	No	No	No	4	Pro & Farm	325,000$	32,500$	239$	No	325,000$	325,000$	325,000$
Wes Walz	Banshees (PHI)	C	24	1997-02-09 9:08:37 PM	No	180 Lbs	5 ft10	No	No	No	1	Pro & Farm	300,000$	30,000$	221$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
28	25.71	195 Lbs	6 ft1	2.00	453,571$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brian Rolston		Andrei Kovalenko	35	0	2	3
2	Jeff Daniels	Wes Walz	Steve Leach	30	0	2	3
3	Greg Gilbert	Craig Conroy	Mariusz Czerkawski	20	0	2	3
4	Garry Valk	Ryan Walter	Martin Lapointe	15	0	2	3

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jason Woolley	Murray Baron	35	0	3	2
2	Peter Ahola	Bill Berg	30	0	3	2
3	Neil Wilkinson	Philippe Boucher	20	0	3	2
4	Murray Baron	Philippe Boucher	15	0	3	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brian Rolston	Wes Walz	Andrei Kovalenko	60	0	1	4
2	Jeff Daniels	Craig Conroy	Mariusz Czerkawski	40	0	1	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Peter Ahola	Bill Berg	60	1	3	1
2	Murray Baron	Jason Woolley	40	1	3	1

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Ryan Walter	Brian Rolston	60	0	4	1
2	Craig Conroy	Garry Valk	40	0	4	1

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Murray Baron	Jason Woolley	60	1	4	0
2	Neil Wilkinson	Philippe Boucher	40	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Walter	60	0	5	0	Neil Wilkinson	Jason Woolley	60	1	2	2
2	Craig Conroy	40	0	5	0	Murray Baron	Philippe Boucher	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Andrei Kovalenko	60	1	2	2
2	Wes Walz	Garry Valk	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Bill Berg	Jason Woolley	60	1	2	2
2	Murray Baron	Neil Wilkinson	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Brian Rolston	Wes Walz	Andrei Kovalenko	Jason Woolley	Murray Baron

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Garry Valk	Ryan Walter	Andrei Kovalenko	Murray Baron	Jason Woolley

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Andrei Kovalenko, Ryan Walter, Garry Valk	Steve Leach, Ryan Walter	Garry Valk

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jason Woolley, Peter Ahola, Murray Baron	Peter Ahola	Peter Ahola, Murray Baron

Tirs de Pénalité
Wes Walz, Andrei Kovalenko, Brian Rolston, Mariusz Czerkawski, Martin Lapointe

Gardien
#1 : Jim Hrivnak, #2 : Craig Billington

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	Ailes Rouges	5	4	0	1	0	0	0	0	22	10	12	3	3	0	0	0	0	0	0	15	5	10	2	1	0	1	0	0	0	0	7	5	2	9	0.900	22	38	60	0	0	105	98	93	5	168	805	766	768	39	109	30	51	92	37	7	18.92%	18	2	88.89%	0	1454	2846	51.09%	1339	2668	50.19%	741	1441	51.42%	2019	1368	1886	641	1087	555
2	As	5	2	3	0	0	0	0	0	18	14	4	3	1	2	0	0	0	0	0	9	7	2	2	1	1	0	0	0	0	0	9	7	2	4	0.400	18	34	52	0	0	105	98	93	5	130	805	766	768	39	111	32	45	97	31	8	25.81%	18	2	88.89%	0	1454	2846	51.09%	1339	2668	50.19%	741	1441	51.42%	2019	1368	1886	641	1087	555
3	Canadiens	6	4	0	1	1	0	0	0	28	19	9	2	1	0	1	0	0	0	0	10	7	3	4	3	0	0	1	0	0	0	18	12	6	11	0.917	28	51	79	0	0	105	98	93	5	193	805	766	768	39	138	48	62	130	34	9	26.47%	31	7	77.42%	1	1454	2846	51.09%	1339	2668	50.19%	741	1441	51.42%	2019	1368	1886	641	1087	555
4	Chiefs	6	1	3	2	0	0	0	0	15	24	-9	2	0	2	0	0	0	0	0	4	9	-5	4	1	1	2	0	0	0	0	11	15	-4	4	0.333	15	24	39	0	0	105	98	93	5	158	805	766	768	39	164	53	68	116	24	4	16.67%	32	8	75.00%	0	1454	2846	51.09%	1339	2668	50.19%	741	1441	51.42%	2019	1368	1886	641	1087	555
5	Citadelles	9	4	0	2	2	1	0	0	39	29	10	4	2	0	1	1	0	0	0	16	11	5	5	2	0	1	1	1	0	0	23	18	5	15	0.833	39	68	107	0	0	105	98	93	5	234	805	766	768	39	249	70	137	220	69	15	21.74%	62	11	82.26%	0	1454	2846	51.09%	1339	2668	50.19%	741	1441	51.42%	2019	1368	1886	641	1087	555
6	Croque-Morts	5	2	3	0	0	0	0	0	12	15	-3	2	1	1	0	0	0	0	0	5	6	-1	3	1	2	0	0	0	0	0	7	9	-2	4	0.400	12	22	34	0	0	105	98	93	5	127	805	766	768	39	119	35	49	107	28	6	21.43%	16	2	87.50%	0	1454	2846	51.09%	1339	2668	50.19%	741	1441	51.42%	2019	1368	1886	641	1087	555
7	Harvard	6	4	2	0	0	0	0	0	25	19	6	3	2	1	0	0	0	0	0	15	13	2	3	2	1	0	0	0	0	0	10	6	4	8	0.667	25	46	71	0	0	105	98	93	5	182	805	766	768	39	146	47	54	121	31	9	29.03%	21	2	90.48%	0	1454	2846	51.09%	1339	2668	50.19%	741	1441	51.42%	2019	1368	1886	641	1087	555
8	Isotopes	11	5	2	3	1	0	0	0	37	27	10	6	2	1	3	0	0	0	0	18	15	3	5	3	1	0	1	0	0	0	19	12	7	15	0.682	37	69	106	0	0	105	98	93	5	345	805	766	768	39	239	86	100	195	79	9	11.39%	44	7	84.09%	0	1454	2846	51.09%	1339	2668	50.19%	741	1441	51.42%	2019	1368	1886	641	1087	555
9	Pacifiques de la route	5	3	1	1	0	0	0	0	22	15	7	2	2	0	0	0	0	0	0	12	5	7	3	1	1	1	0	0	0	0	10	10	0	7	0.700	22	38	60	0	1	105	98	93	5	148	805	766	768	39	102	32	37	95	27	7	25.93%	16	2	87.50%	0	1454	2846	51.09%	1339	2668	50.19%	741	1441	51.42%	2019	1368	1886	641	1087	555
10	Riverman	6	2	4	0	0	0	0	0	20	25	-5	4	1	3	0	0	0	0	0	14	19	-5	2	1	1	0	0	0	0	0	6	6	0	4	0.333	20	38	58	1	0	105	98	93	5	190	805	766	768	39	167	51	61	118	26	9	34.62%	26	9	65.38%	0	1454	2846	51.09%	1339	2668	50.19%	741	1441	51.42%	2019	1368	1886	641	1087	555
11	Snipers	7	5	1	0	1	0	0	0	26	13	13	4	2	1	0	1	0	0	0	11	5	6	3	3	0	0	0	0	0	0	15	8	7	12	0.857	26	45	71	0	2	105	98	93	5	172	805	766	768	39	159	56	68	149	33	10	30.30%	33	6	81.82%	1	1454	2846	51.09%	1339	2668	50.19%	741	1441	51.42%	2019	1368	1886	641	1087	555
12	Spoonman's	5	3	1	1	0	0	0	0	18	15	3	3	2	0	1	0	0	0	0	13	9	4	2	1	1	0	0	0	0	0	5	6	-1	7	0.700	18	32	50	1	0	105	98	93	5	155	805	766	768	39	145	36	58	92	30	4	13.33%	27	7	74.07%	0	1454	2846	51.09%	1339	2668	50.19%	741	1441	51.42%	2019	1368	1886	641	1087	555
13	Wolves	6	4	2	0	0	0	0	0	19	14	5	3	2	1	0	0	0	0	0	10	6	4	3	2	1	0	0	0	0	0	9	8	1	8	0.667	19	36	55	0	1	105	98	93	5	176	805	766	768	39	165	40	58	109	36	5	13.89%	23	7	69.57%	0	1454	2846	51.09%	1339	2668	50.19%	741	1441	51.42%	2019	1368	1886	641	1087	555
	Total	82	43	22	11	5	1	0	0	301	239	62	41	21	12	6	2	0	0	0	152	117	35	41	22	10	5	3	1	0	0	149	122	27	108	0.659	301	541	842	2	4	105	98	93	5	2378	805	766	768	39	2013	616	848	1641	485	102	21.03%	367	72	80.38%	2	1454	2846	51.09%	1339	2668	50.19%	741	1441	51.42%	2019	1368	1886	641	1087	555
	_Since Last GM Reset	82	54	22	0	5	1	0	0	301	239	62	41	21	12	6	2	0	0	0	152	117	35	41	33	10	-6	3	1	0	0	149	122	27	119	0.726	301	541	842	2	4	105	98	93	5	2378	805	766	768	39	2013	616	848	1641	485	102	21.03%	367	72	80.38%	2	1454	2846	51.09%	1339	2668	50.19%	741	1441	51.42%	2019	1368	1886	641	1087	555
	_Vs Conference	43	30	8	0	4	1	0	0	162	133	29	20	9	4	6	1	0	0	0	76	64	12	23	21	4	-6	3	1	0	0	86	69	17	69	0.802	162	290	452	1	0	105	98	93	5	1267	805	766	768	39	1081	340	479	874	267	50	18.73%	217	42	80.65%	1	1454	2846	51.09%	1339	2668	50.19%	741	1441	51.42%	2019	1368	1886	641	1087	555
	_Vs Division	20	14	2	0	3	1	0	0	76	56	20	10	4	1	4	1	0	0	0	34	26	8	10	10	1	-4	2	1	0	0	42	30	12	35	0.875	76	137	213	0	0	105	98	93	5	579	805	766	768	39	488	156	237	415	148	24	16.22%	106	18	83.02%	0	1454	2846	51.09%	1339	2668	50.19%	741	1441	51.42%	2019	1368	1886	641	1087	555

			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
82	108	L1	301	541	842	2378	2013	616	848	1641	2	4

Tous les Matchs
GP	W	L	OTW	OTL	T	GF	GA
82	43	22	5	1	11	301	239

Matchs locaux
GP	W	L	OTW	OTL	T	GF	GA
41	21	12	2	0	6	152	117

Matchs Éxtérieurs
GP	W	L	OTW	OTL	T	GF	GA
41	22	10	3	1	5	149	122

Derniers 10 Matchs
W	L	OTW	OTL	T
3	5	0	0	2

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
485	102	21.03%	367	72	80.38%	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
805	766	768	39	105	98	93	5

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
1454	2846	51.09%	1339	2668	50.19%	741	1441	51.42%

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
2019	1368	1886	641	1087	555

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	RI	Lien
1 - 2020-09-21	2	Banshees	5	Citadelles	5	T	X	R2	Sommaire du Match
2 - 2020-09-22	8	Banshees	2	Isotopes	1	W	X		Sommaire du Match
3 - 2020-09-23	14	Isotopes	3	Banshees	2	L			Sommaire du Match
5 - 2020-09-25	22	Isotopes	2	Banshees	4	W			Sommaire du Match
6 - 2020-09-26	29	Banshees	6	Canadiens	5	W	X		Sommaire du Match
7 - 2020-09-27	32	Banshees	4	Citadelles	3	W		R2	Sommaire du Match
8 - 2020-09-28	39	Citadelles	2	Banshees	5	W			Sommaire du Match
10 - 2020-09-30	52	As	4	Banshees	3	L			Sommaire du Match
11 - 2020-10-01	58	Banshees	3	Ailes Rouges	3	T	X		Sommaire du Match
13 - 2020-10-03	62	Banshees	1	Chiefs	6	L			Sommaire du Match
15 - 2020-10-05	69	Snipers	0	Banshees	3	W			Sommaire du Match
17 - 2020-10-07	79	Banshees	4	Ailes Rouges	2	W			Sommaire du Match
19 - 2020-10-09	84	Snipers	4	Banshees	3	L			Sommaire du Match
21 - 2020-10-11	93	Canadiens	3	Banshees	6	W			Sommaire du Match
23 - 2020-10-13	99	Banshees	3	Chiefs	3	T	X		Sommaire du Match
26 - 2020-10-16	107	Isotopes	4	Banshees	4	T	X		Sommaire du Match
27 - 2020-10-17	113	Banshees	2	Pacifiques de la route	3	L			Sommaire du Match
29 - 2020-10-19	120	Croque-Morts	2	Banshees	3	W			Sommaire du Match
31 - 2020-10-21	127	Banshees	3	Wolves	2	W			Sommaire du Match
33 - 2020-10-23	133	As	2	Banshees	6	W			Sommaire du Match
35 - 2020-10-25	139	Banshees	5	Snipers	3	W			Sommaire du Match
37 - 2020-10-27	147	Harvard	5	Banshees	6	W			Sommaire du Match
39 - 2020-10-29	156	Ailes Rouges	3	Banshees	7	W			Sommaire du Match
42 - 2020-11-01	164	Banshees	3	Isotopes	2	W			Sommaire du Match
43 - 2020-11-02	170	Banshees	3	Citadelles	4	L	X	R2	Sommaire du Match
44 - 2020-11-03	175	Banshees	2	Chiefs	2	T	X		Sommaire du Match
46 - 2020-11-05	181	Pacifiques de la route	5	Banshees	6	W			Sommaire du Match
47 - 2020-11-06	191	As	1	Banshees	0	L			Sommaire du Match
49 - 2020-11-08	197	Banshees	5	Pacifiques de la route	5	T	X		Sommaire du Match
50 - 2020-11-09	204	Ailes Rouges	1	Banshees	2	W			Sommaire du Match
52 - 2020-11-11	211	Banshees	3	Canadiens	2	W			Sommaire du Match
53 - 2020-11-12	218	Banshees	2	As	4	L			Sommaire du Match
55 - 2020-11-14	223	Spoonman's	2	Banshees	5	W			Sommaire du Match
56 - 2020-11-15	230	Banshees	3	Isotopes	5	L			Sommaire du Match
58 - 2020-11-17	235	Isotopes	2	Banshees	4	W			Sommaire du Match
59 - 2020-11-18	242	Banshees	3	Riverman	1	W			Sommaire du Match
61 - 2020-11-20	252	Chiefs	5	Banshees	2	L			Sommaire du Match
62 - 2020-11-21	256	Banshees	3	Spoonman's	2	W			Sommaire du Match
64 - 2020-11-23	265	Spoonman's	3	Banshees	3	T	X		Sommaire du Match
66 - 2020-11-25	274	Snipers	1	Banshees	2	W	X		Sommaire du Match
67 - 2020-11-26	283	Spoonman's	4	Banshees	5	W			Sommaire du Match
68 - 2020-11-27	284	Banshees	4	Citadelles	3	W	X	R2	Sommaire du Match
71 - 2020-11-30	298	Isotopes	2	Banshees	2	T	X		Sommaire du Match
72 - 2020-12-01	302	Banshees	2	Croque-Morts	1	W			Sommaire du Match
73 - 2020-12-02	307	Banshees	5	Snipers	2	W			Sommaire du Match
74 - 2020-12-03	316	Snipers	0	Banshees	3	W			Sommaire du Match
75 - 2020-12-04	318	Banshees	5	Isotopes	3	W			Sommaire du Match
77 - 2020-12-06	330	Wolves	1	Banshees	6	W			Sommaire du Match
78 - 2020-12-07	334	Banshees	5	Harvard	2	W			Sommaire du Match
79 - 2020-12-08	342	Banshees	5	Wolves	4	W			Sommaire du Match
80 - 2020-12-09	347	Wolves	0	Banshees	4	W			Sommaire du Match
82 - 2020-12-11	356	Banshees	4	Canadiens	1	W			Sommaire du Match
84 - 2020-12-13	361	Citadelles	1	Banshees	1	T	X	R2	Sommaire du Match
86 - 2020-12-15	370	Banshees	3	Croque-Morts	4	L			Sommaire du Match
88 - 2020-12-17	376	Banshees	7	As	3	W			Sommaire du Match
90 - 2020-12-19	380	Harvard	4	Banshees	3	L			Sommaire du Match
92 - 2020-12-21	389	Citadelles	5	Banshees	6	W		R2	Sommaire du Match
94 - 2020-12-23	398	Banshees	1	Wolves	2	L			Sommaire du Match
96 - 2020-12-25	403	Riverman	2	Banshees	3	W			Sommaire du Match
98 - 2020-12-27	412	Banshees	6	Isotopes	1	W			Sommaire du Match
100 - 2020-12-29	417	Riverman	5	Banshees	3	L			Sommaire du Match
101 - 2020-12-30	425	Banshees	5	Canadiens	4	W			Sommaire du Match
103 - 2021-01-01	431	Croque-Morts	4	Banshees	2	L			Sommaire du Match
105 - 2021-01-03	440	Banshees	3	Riverman	5	L			Sommaire du Match
106 - 2021-01-04	444	Banshees	5	Chiefs	4	W			Sommaire du Match
108 - 2021-01-06	449	Citadelles	3	Banshees	4	W	X	R2	Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
110 - 2021-01-08	458	Chiefs	4	Banshees	2	L			Sommaire du Match
112 - 2021-01-10	469	Banshees	3	Pacifiques de la route	2	W			Sommaire du Match
113 - 2021-01-11	472	Pacifiques de la route	0	Banshees	6	W			Sommaire du Match
115 - 2021-01-13	484	Harvard	4	Banshees	6	W			Sommaire du Match
118 - 2021-01-16	496	Wolves	5	Banshees	0	L			Sommaire du Match
119 - 2021-01-17	503	Banshees	5	Snipers	3	W			Sommaire du Match
120 - 2021-01-18	506	Banshees	2	Spoonman's	4	L			Sommaire du Match
121 - 2021-01-19	512	Ailes Rouges	1	Banshees	6	W			Sommaire du Match
122 - 2021-01-20	520	Banshees	7	Citadelles	3	W		R2	Sommaire du Match
123 - 2021-01-21	527	Riverman	6	Banshees	4	L			Sommaire du Match
125 - 2021-01-23	537	Riverman	6	Banshees	4	L			Sommaire du Match
127 - 2021-01-25	542	Banshees	1	Harvard	2	L			Sommaire du Match
129 - 2021-01-27	553	Isotopes	2	Banshees	2	T	X		Sommaire du Match
130 - 2021-01-28	558	Banshees	4	Harvard	2	W			Sommaire du Match
133 - 2021-01-31	566	Canadiens	4	Banshees	4	T	X		Sommaire du Match
134 - 2021-02-01	572	Banshees	2	Croque-Morts	4	L			Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	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	Popularité de l'Équipe
0	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
1,321,825$	1,270,000$	1,270,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
1,270,000$	1,321,825$	28	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	1	10,037$	10,037$

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

	Banshees
	GP: 82 \| W: 48 \| L: 22 \| T: 11 \| P: 108 GF: 301 \| GA: 239 \| PP%: 21.03% \| PK%: 80.38% DG: Louis-Philippe DesHaies \| Morale : 77 \| Moyenne d'Équipe : 65