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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	Andrew Mangiapane		X	X		100.00	73	38	87	68	67	78	85	67	54	65	71	62	69	67	66	0	54	66	0	23	1	715,000$
2	Casey Mittelstadt	X	X	X		100.00	62	39	88	66	77	81	83	64	71	63	62	65	66	63	65	0	45	64	0	20	1	1,491,666$
3	Jordan Kyrou	X		X		100.00	57	39	89	67	69	77	76	66	58	63	64	65	68	63	64	0	50	64	0	21	2	880,000$
4	Troy Terry			X		100.00	58	39	85	67	70	76	73	69	57	68	63	61	72	65	66	0	50	64	0	22	1	1,491,666$
5	Greg McKegg	X				100.00	73	43	87	64	73	72	80	63	77	61	62	66	63	75	68	0	50	64	0	27	1	750,000$
6	Alex Formenton		X			100.00	56	56	78	68	73	87	88	64	57	60	63	59	62	61	63	0	50	63	0	20	3	888,333$
7	Denis Malgin	X	X	X		100.00	67	38	86	66	65	78	80	64	77	65	62	61	66	65	63	0	50	63	0	22	1	750,000$
8	Nikolai Prokhorkin (R)		X			100.00	67	42	89	65	81	76	67	63	59	66	55	59	63	73	69	0	50	63	0	26	1	1,775,000$
9	Reid Boucher		X	X		100.00	58	43	89	65	69	73	75	63	59	62	64	61	65	73	67	0	50	63	0	26	1	750,000$
10	Kalle Kossila	X	X			100.00	57	39	83	61	69	76	73	62	72	60	60	63	61	73	67	0	50	62	0	26	2	700,000$
11	Greg Carey	X	X			100.00	58	48	88	61	71	88	91	59	56	58	60	57	61	78	67	0	50	62	0	29	1	650,000$
12	Vladislav Kamenev	X	X	X		100.00	61	39	88	63	79	74	68	64	73	62	59	57	65	67	64	0	50	62	0	23	1	750,000$
13	Alexander Petrovic				X	100.00	78	46	87	63	90	83	76	61	30	59	56	62	53	75	68	0	50	63	0	27	1	700,000$
14	Dennis Cholowski				X	100.00	63	43	88	65	80	84	78	63	30	66	60	61	52	63	62	0	50	63	0	21	2	894,166$
15	Jacob Middleton				X	100.00	66	51	83	61	85	75	71	59	30	58	57	60	53	67	64	0	50	61	0	23	1	735,000$
16	Sean Day				X	100.00	75	46	87	58	88	77	76	56	30	55	53	57	45	63	62	0	50	60	0	21	2	910,833$
17	Brandon Hickey				X	100.00	66	45	88	56	81	76	75	54	30	53	52	55	45	67	64	0	50	59	0	23	1	925,000$
Rayé
1	Brendan Perlini		X	X		100.00	62	42	84	63	86	74	84	62	53	57	64	56	63	66	64	0	50	62	0	23	1	874,125$
2	Nicholas Merkley			X		100.00	58	42	89	60	69	77	73	62	57	61	59	58	62	65	63	0	50	61	0	22	1	1,075,833$
3	Boris Katchouk		X			100.00	65	53	86	58	80	88	91	57	52	55	56	59	60	63	62	0	50	60	0	21	2	894,166$
4	Cole Cassels	X				100.00	54	44	85	59	70	85	84	58	73	60	56	54	58	69	65	0	50	60	0	24	1	650,000$
5	Trey Fix-Wolansky			X		100.00	56	46	83	60	63	80	79	59	54	58	58	53	59	61	63	0	50	59	0	20	3	925,000$
6	Connor Dewar	X				100.00	51	42	88	57	58	85	84	55	63	56	54	53	54	61	62	0	50	58	0	20	3	925,000$
7	Cliff Pu			X		100.00	62	43	88	54	78	75	77	52	50	53	51	56	54	63	62	0	50	58	0	21	2	910,833$
8	Simon Holmstrom (R)			X		100.00	58	41	79	59	74	82	81	57	51	53	56	54	57	59	60	0	50	58	0	18	3	925,000$
9	Christopher Clapperton		X			100.00	51	38	89	53	64	74	73	51	55	52	50	54	53	71	66	0	50	56	0	25	1	650,000$

	MOYENNE D'ÉQUIPE					100.00	62	43	86	62	74	79	79	61	55	60	59	59	60	67	64	0	50	61

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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	Tristan Jarry	100.00	85	78	76	79	84	83	85	84	83	85	84	69	73	0	50	70	0
2	Troy Grosenick	100.00	74	89	87	74	73	72	74	73	72	74	73	79	85	0	50	66	0
Rayé
1	Josef Korenar	100.00	69	83	81	74	68	67	69	68	67	69	68	63	67	0	50	62	0

	MOYENNE D'ÉQUIPE	100.00	76	83	81	76	75	74	76	75	74	76	75	70	75	0	50	66

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FT	S1	S2	S3
1	Greg McKegg	Crunch (TBL)	C	52	30	41	71	40	26	0	120	107	205	62	146	14.63%	11	940	18.08	3	7	10	20	68	0	1	1	2	66	5	1	59.84%	1220	0	1	1.51	1	2	0	7	6	1
2	Troy Terry	Crunch (TBL)	RW	52	27	35	62	31	8	0	57	95	222	59	155	12.16%	15	1032	19.86	3	8	11	35	116	3	0	3	10	122	4	2	57.69%	78	0	0	1.20	0	3	0	3	6	3
3	Reid Boucher	Crunch (TBL)	LW/RW	52	22	33	55	27	10	0	38	76	214	59	144	10.28%	12	916	17.63	0	4	4	29	101	0	0	0	0	16	0	1	43.48%	69	1	0	1.20	0	0	0	1	3	3
4	Jordan Kyrou	Crunch (TBL)	C/RW	51	26	26	52	17	20	0	54	129	231	68	167	11.26%	16	980	19.23	1	5	6	31	97	1	1	2	3	63	5	2	51.66%	1026	0	0	1.06	0	2	0	1	2	4
5	Alex Formenton	Crunch (TBL)	LW	52	22	28	50	30	19	5	41	94	151	61	110	14.57%	22	818	15.74	0	0	0	0	1	0	0	0	1	23	5	1	52.63%	57	0	0	1.22	0	0	1	4	2	2
6	Dennis Cholowski	Crunch (TBL)	D	52	8	42	50	24	10	0	61	73	103	35	63	7.77%	68	1165	22.42	3	4	7	28	102	0	2	2	0	117	3	0	0.00%	0	0	0	0.86	0	0	0	1	2	3
7	Alexander Petrovic	Crunch (TBL)	D	52	9	33	42	39	38	0	146	47	101	39	49	8.91%	70	1285	24.73	5	8	13	41	118	0	0	0	1	110	0	0	0.00%	0	0	0	0.65	0	0	0	3	0	1
8	Casey Mittelstadt	Crunch (TBL)	C/LW/RW	38	9	33	42	25	12	0	34	66	147	39	97	6.12%	3	707	18.63	1	2	3	25	88	0	0	0	1	40	1	0	58.50%	682	0	0	1.19	2	4	0	1	2	4
9	Denis Malgin	Crunch (TBL)	C/LW/RW	52	16	23	39	16	18	0	115	92	211	54	131	7.58%	10	887	17.06	2	2	4	23	68	0	0	0	0	6	2	0	60.00%	375	0	0	0.88	0	0	0	0	3	3
10	Andrew Mangiapane	Crunch (TBL)	LW/RW	29	19	17	36	28	12	0	75	65	159	53	128	11.95%	7	652	22.50	2	0	2	26	66	0	2	2	2	67	4	2	42.59%	270	0	1	1.10	0	3	0	5	1	3
11	Vladislav Kamenev	Crunch (TBL)	C/LW/RW	52	11	17	28	11	10	0	36	62	119	44	84	9.24%	2	640	12.33	0	1	1	2	3	0	0	0	0	1	1	0	59.90%	197	0	0	0.87	0	0	0	1	2	1
12	Jacob Middleton	Crunch (TBL)	D	52	8	18	26	21	21	5	93	31	84	21	52	9.52%	67	1063	20.45	4	4	8	34	96	0	0	0	0	101	1	0	0.00%	0	0	0	0.49	0	0	1	1	1	1
13	Brendan Perlini	Crunch (TBL)	LW/RW	37	12	13	25	16	6	0	24	28	83	29	64	14.46%	7	443	12.00	0	0	0	0	0	0	0	0	0	2	1	0	60.00%	30	0	0	1.13	0	0	0	0	0	1
14	Nikolai Prokhorkin	Crunch (TBL)	LW	52	5	20	25	10	4	0	64	61	115	39	83	4.35%	31	758	14.59	1	2	3	2	17	0	0	0	0	17	1	0	60.34%	58	0	0	0.66	0	0	0	2	0	0
15	Sean Day	Crunch (TBL)	D	52	5	16	21	21	24	0	116	16	48	19	23	10.42%	53	894	17.20	1	1	2	10	36	0	0	0	0	53	1	0	0.00%	0	0	0	0.47	0	0	0	1	0	1
16	Greg Carey	Crunch (TBL)	C/LW	52	8	12	20	18	8	0	35	46	52	15	57	15.38%	8	493	9.49	0	0	0	0	0	1	0	1	1	11	0	0	48.05%	462	0	0	0.81	0	0	0	0	2	0
17	Kalle Kossila	Crunch (TBL)	C/LW	34	4	10	14	7	4	0	12	29	49	16	27	8.16%	6	230	6.78	0	0	0	0	0	0	1	1	1	18	0	0	53.70%	216	0	0	1.21	0	0	0	0	1	0
18	Kevin Connauton	Lightning	D	16	2	12	14	12	17	5	33	17	34	14	32	5.88%	38	394	24.68	1	1	2	16	37	0	0	0	0	35	0	0	0.00%	0	0	0	0.71	0	0	1	0	0	0
19	Philippe Myers	Lightning	D	10	0	12	12	7	6	0	26	12	25	8	15	0.00%	19	244	24.40	0	2	2	13	25	0	1	1	0	13	0	0	0.00%	0	0	0	0.98	0	0	0	0	0	2
20	Brandon Hickey	Crunch (TBL)	D	37	2	7	9	17	12	0	56	14	17	7	13	11.76%	39	576	15.58	0	0	0	0	0	0	0	0	0	27	0	0	0.00%	0	0	0	0.31	0	0	0	0	0	1
21	Andrew Cogliano	Lightning	C/LW	4	3	2	5	2	2	0	12	12	25	11	13	12.00%	2	79	19.79	0	2	2	1	7	0	0	0	1	9	1	0	46.85%	111	0	1	1.26	0	0	0	1	0	0
Stats d'équipe Total ou en Moyenne				880	248	450	698	419	287	15	1248	1172	2395	752	1653	10.35%	506	15207	17.28	27	53	80	336	1055	5	8	13	23	927	35	9	54.94%	4851	1	3	0.92	3	14	3	32	33	34

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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	PS %	PSA	ST	BG	S1	S2	S3
1	Tristan Jarry	Crunch (TBL)	52	37	11	2	0.907	3.04	3003	4	2	152	1628	2	2	0.769	13	52	0	5	1	1
2	Troy Grosenick	Crunch (TBL)	4	0	2	0	0.928	2.24	134	0	0	5	69	0	0	0.000	0	0	52	0	0	0
Stats d'équipe Total ou en Moyenne			56	37	13	2	0.907	3.00	3138	4	2	157	1697	2	2	0.769	13	52	52	5	1	1

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
Alex Formenton	Crunch (TBL)	LW	20	1999-09-13	No	165 Lbs	6 ft2	No	No	No	3	Pro & Farm	888,333$	0$	0$	No	888,333$	888,333$	Lien
Alexander Petrovic	Crunch (TBL)	D	27	1992-03-03	No	216 Lbs	6 ft4	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien / Lien NHL
Andrew Mangiapane	Crunch (TBL)	LW/RW	23	1996-04-04	No	184 Lbs	5 ft10	No	No	No	1	Pro & Farm	715,000$	0$	0$	No			Lien / Lien NHL
Boris Katchouk	Crunch (TBL)	LW	21	1998-06-18	No	199 Lbs	6 ft2	No	No	No	2	Pro & Farm	894,166$	0$	0$	No	894,166$		Lien / Lien NHL
Brandon Hickey	Crunch (TBL)	D	23	1996-04-13	No	201 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien / Lien NHL
Brendan Perlini	Crunch (TBL)	LW/RW	23	1996-04-27	No	211 Lbs	6 ft3	No	No	No	1	Pro & Farm	874,125$	0$	0$	No			Lien / Lien NHL
Casey Mittelstadt	Crunch (TBL)	C/LW/RW	20	1998-11-22	No	199 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,491,666$	0$	0$	No			Lien / Lien NHL
Christopher Clapperton	Crunch (TBL)	LW	25	1994-02-22	No	174 Lbs	5 ft9	No	No	No	1	Pro & Farm	650,000$	0$	0$	No			Lien
Cliff Pu	Crunch (TBL)	RW	21	1998-06-03	No	187 Lbs	6 ft2	No	No	No	2	Pro & Farm	910,833$	0$	0$	No	910,833$		Lien / Lien NHL
Cole Cassels	Crunch (TBL)	C	24	1995-05-04	No	180 Lbs	6 ft0	No	No	No	1	Pro & Farm	650,000$	0$	0$	No			Lien
Connor Dewar	Crunch (TBL)	C	20	1999-06-26	No	184 Lbs	5 ft1	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Lien
Denis Malgin	Crunch (TBL)	C/LW/RW	22	1997-01-18	No	177 Lbs	5 ft9	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Lien / Lien NHL
Dennis Cholowski	Crunch (TBL)	D	21	1998-02-15	No	197 Lbs	6 ft2	No	No	No	2	Pro & Farm	894,166$	0$	0$	No	894,166$		Lien / Lien NHL
Greg Carey	Crunch (TBL)	C/LW	29	1990-04-05	No	204 Lbs	5 ft10	No	No	No	1	Pro & Farm	650,000$	0$	0$	No			Lien / Lien NHL
Greg McKegg	Crunch (TBL)	C	27	1992-06-17	No	192 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Lien / Lien NHL
Jacob Middleton	Crunch (TBL)	D	23	1996-01-02	No	210 Lbs	6 ft3	No	No	No	1	Pro & Farm	735,000$	0$	0$	No			Lien / Lien NHL
Jordan Kyrou	Crunch (TBL)	C/RW	21	1998-05-05	No	175 Lbs	6 ft0	No	No	No	2	Pro & Farm	880,000$	0$	0$	No	880,000$		Lien / Lien NHL
Josef Korenar	Crunch (TBL)	G	21	1998-01-31	No	185 Lbs	6 ft1	No	No	No	1	Pro & Farm	723,333$	0$	0$	No			Lien / Lien NHL
Kalle Kossila	Crunch (TBL)	C/LW	26	1993-04-14	No	182 Lbs	5 ft11	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$		Lien / Lien NHL
Nicholas Merkley	Crunch (TBL)	RW	22	1997-05-23	No	194 Lbs	5 ft10	No	No	No	1	Pro & Farm	1,075,833$	0$	0$	No			Lien / Lien NHL
Nikolai Prokhorkin	Crunch (TBL)	LW	26	1993-09-17	Yes	190 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,775,000$	0$	0$	No
Reid Boucher	Crunch (TBL)	LW/RW	26	1993-09-08	No	195 Lbs	5 ft10	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Lien / Lien NHL
Sean Day	Crunch (TBL)	D	21	1998-01-09	No	225 Lbs	6 ft3	No	No	No	2	Pro & Farm	910,833$	0$	0$	No	910,833$		Lien / Lien NHL
Simon Holmstrom	Crunch (TBL)	RW	18	2001-05-24	Yes	183 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$
Trey Fix-Wolansky	Crunch (TBL)	RW	20	1999-05-26	No	178 Lbs	5 ft7	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Lien
Tristan Jarry	Crunch (TBL)	G	24	1995-04-29	No	194 Lbs	6 ft2	No	No	No	1	Pro & Farm	675,000$	0$	0$	No			Lien / Lien NHL
Troy Grosenick	Crunch (TBL)	G	30	1989-08-27	No	185 Lbs	6 ft1	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien / Lien NHL
Troy Terry	Crunch (TBL)	RW	22	1997-09-10	No	180 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,491,666$	0$	0$	No			Lien / Lien NHL
Vladislav Kamenev	Crunch (TBL)	C/LW/RW	23	1996-08-12	No	194 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
29	23.07	191 Lbs	6 ft0	1.48	885,688$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Andrew Mangiapane	Casey Mittelstadt	Troy Terry	30	1	2	2
2	Reid Boucher	Greg McKegg	Jordan Kyrou	30	1	2	2
3	Alex Formenton	Denis Malgin	Vladislav Kamenev	25	1	2	2
4	Nikolai Prokhorkin	Greg Carey	Andrew Mangiapane	15	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Alexander Petrovic	30	1	2	2
2	Dennis Cholowski	Jacob Middleton	30	1	2	2
3	Sean Day	Nikolai Prokhorkin	25	1	2	2
4		Alexander Petrovic	15	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Andrew Mangiapane	Casey Mittelstadt	Troy Terry	60	1	2	2
2	Reid Boucher	Greg McKegg	Jordan Kyrou	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Alexander Petrovic	60	1	2	2
2	Dennis Cholowski	Jacob Middleton	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Andrew Mangiapane	Troy Terry	60	1	2	2
2	Casey Mittelstadt	Greg McKegg	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Alexander Petrovic	60	1	2	2
2	Dennis Cholowski	Jacob Middleton	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Andrew Mangiapane	60	1	2	2		Alexander Petrovic	60	1	2	2
2	Troy Terry	40	1	2	2	Dennis Cholowski	Jacob Middleton	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Andrew Mangiapane	Troy Terry	60	1	2	2
2	Casey Mittelstadt	Greg McKegg	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Alexander Petrovic	60	1	2	2
2	Dennis Cholowski	Jacob Middleton	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Andrew Mangiapane	Casey Mittelstadt	Troy Terry		Alexander Petrovic

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Andrew Mangiapane	Casey Mittelstadt	Troy Terry		Alexander Petrovic

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Kalle Kossila, Denis Malgin, Alex Formenton	Kalle Kossila, Denis Malgin	Alex Formenton

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Sean Day, Dennis Cholowski, Jacob Middleton	Sean Day	Dennis Cholowski, Jacob Middleton

Tirs de Pénalité
Andrew Mangiapane, Troy Terry, Casey Mittelstadt, Greg McKegg, Jordan Kyrou

Gardien
#1 : Tristan Jarry, #2 : Troy Grosenick

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	Admirals	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	103	78	66	5	64	755	779	851	25	30	13	8	22	3	0	0.00%	3	0	100.00%	0	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
2	Americans	2	1	1	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	7	11	18	0	0	103	78	66	5	75	755	779	851	25	58	18	12	43	3	0	0.00%	6	1	83.33%	0	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
3	Barracuda	2	2	0	0	0	0	0	0	11	4	7	1	1	0	0	0	0	0	0	6	1	5	1	1	0	0	0	0	0	0	5	3	2	4	1.000	11	20	31	0	0	103	78	66	5	85	755	779	851	25	66	13	14	53	8	4	50.00%	6	0	100.00%	1	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
4	Bears	3	1	0	0	2	0	0	0	13	8	5	2	1	0	0	1	0	0	0	9	5	4	1	0	0	0	1	0	0	0	4	3	1	6	1.000	13	22	35	0	0	103	78	66	5	172	755	779	851	25	88	27	13	87	1	0	0.00%	4	1	75.00%	0	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
5	Bruins	2	2	0	0	0	0	0	0	12	4	8	1	1	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	5	0	5	4	1.000	12	21	33	0	1	103	78	66	5	87	755	779	851	25	55	15	10	48	8	3	37.50%	5	1	80.00%	1	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
6	Checkers	1	1	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	6	2	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	11	17	0	0	103	78	66	5	51	755	779	851	25	20	6	4	21	4	0	0.00%	2	0	100.00%	0	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
7	Comets	1	1	0	0	0	0	0	0	13	3	10	1	1	0	0	0	0	0	0	13	3	10	0	0	0	0	0	0	0	0	0	0	0	2	1.000	13	22	35	0	0	103	78	66	5	94	755	779	851	25	21	9	8	20	1	1	100.00%	4	0	100.00%	0	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
8	Condors	1	1	0	0	0	0	0	0	11	2	9	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	11	2	9	2	1.000	11	21	32	0	0	103	78	66	5	86	755	779	851	25	30	6	4	18	1	0	0.00%	2	0	100.00%	0	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
9	Devils	3	1	0	0	0	0	0	2	11	11	0	2	1	0	0	0	0	0	1	7	6	1	1	0	0	0	0	0	0	1	4	5	-1	4	0.667	11	21	32	0	0	103	78	66	5	131	755	779	851	25	144	27	23	70	5	0	0.00%	9	2	77.78%	0	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
10	Eagles	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	6	3	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	12	18	0	0	103	78	66	5	42	755	779	851	25	27	11	4	24	3	1	33.33%	2	0	100.00%	0	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
11	Griffins	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	9	14	0	0	103	78	66	5	42	755	779	851	25	23	8	2	32	2	1	50.00%	1	0	100.00%	0	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
12	Gulls	3	2	1	0	0	0	0	0	10	9	1	2	1	1	0	0	0	0	0	7	7	0	1	1	0	0	0	0	0	0	3	2	1	4	0.667	10	18	28	0	0	103	78	66	5	112	755	779	851	25	117	45	27	80	5	0	0.00%	9	0	100.00%	0	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
13	Heat	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	0	103	78	66	5	41	755	779	851	25	44	19	4	25	1	1	100.00%	2	0	100.00%	0	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
14	IceHogs	1	1	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	7	2	5	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	14	21	0	0	103	78	66	5	49	755	779	851	25	41	10	6	23	3	1	33.33%	3	1	66.67%	1	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
15	Marlies	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	2	3	0	0	103	78	66	5	36	755	779	851	25	30	5	6	23	4	0	0.00%	3	1	66.67%	0	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
16	Monsters	3	2	1	0	0	0	0	0	10	7	3	1	0	1	0	0	0	0	0	3	4	-1	2	2	0	0	0	0	0	0	7	3	4	4	0.667	10	17	27	0	0	103	78	66	5	95	755	779	851	25	83	22	22	69	6	2	33.33%	10	3	70.00%	0	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
17	Moose	1	1	0	0	0	0	0	0	9	0	9	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	9	0	9	2	1.000	9	16	25	0	1	103	78	66	5	90	755	779	851	25	21	4	4	21	2	2	100.00%	2	0	100.00%	0	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
18	Penguins	3	3	0	0	0	0	0	0	29	11	18	3	3	0	0	0	0	0	0	29	11	18	0	0	0	0	0	0	0	0	0	0	0	6	1.000	29	53	82	0	0	103	78	66	5	215	755	779	851	25	85	29	18	72	5	3	60.00%	9	1	88.89%	1	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
19	Phantoms	3	1	1	0	0	0	1	0	12	10	2	1	0	1	0	0	0	0	0	2	4	-2	2	1	0	0	0	0	1	0	10	6	4	4	0.667	12	20	32	0	0	103	78	66	5	116	755	779	851	25	107	40	20	59	12	3	25.00%	10	0	100.00%	0	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
20	Rampage	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	103	78	66	5	59	755	779	851	25	32	10	2	18	2	0	0.00%	1	0	100.00%	0	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
21	Reign	2	1	1	0	0	0	0	0	8	8	0	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	8	8	0	2	0.500	8	15	23	0	0	103	78	66	5	68	755	779	851	25	68	29	12	37	5	3	60.00%	6	2	66.67%	1	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
22	Roadrunners	2	0	1	0	0	0	1	0	5	8	-3	1	0	1	0	0	0	0	0	2	6	-4	1	0	0	0	0	0	1	0	3	2	1	2	0.500	5	6	11	0	0	103	78	66	5	60	755	779	851	25	76	15	6	47	2	0	0.00%	3	1	66.67%	0	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
23	Rocket	2	0	2	0	0	0	0	0	6	10	-4	2	0	2	0	0	0	0	0	6	10	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	6	11	17	2	0	103	78	66	5	70	755	779	851	25	76	16	10	58	2	0	0.00%	5	1	80.00%	0	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
24	Senators	3	2	1	0	0	0	0	0	14	11	3	1	0	1	0	0	0	0	0	5	6	-1	2	2	0	0	0	0	0	0	9	5	4	4	0.667	14	24	38	0	0	103	78	66	5	140	755	779	851	25	114	32	18	90	12	1	8.33%	9	4	55.56%	0	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
25	Stars	2	1	1	0	0	0	0	0	8	8	0	1	0	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	5	4	1	2	0.500	8	16	24	0	0	103	78	66	5	77	755	779	851	25	68	18	4	42	10	1	10.00%	2	1	50.00%	0	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
26	Thunderbirds	2	1	1	0	0	0	0	0	8	8	0	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	8	8	0	2	0.500	8	13	21	0	0	103	78	66	5	64	755	779	851	25	81	23	16	47	3	0	0.00%	8	3	62.50%	0	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
	Total	52	33	13	0	2	0	2	2	251	161	90	26	16	8	0	1	0	0	1	137	89	48	26	17	5	0	1	0	2	1	114	72	42	76	0.731	251	450	701	2	2	103	78	66	5	2396	755	779	851	25	1699	507	291	1248	125	27	21.60%	131	24	81.68%	5	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
27	Wolf Pack	2	2	0	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	3	2	1	4	1.000	9	17	26	0	0	103	78	66	5	114	755	779	851	25	49	18	12	49	9	0	0.00%	4	1	75.00%	0	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
28	Wolves	2	1	1	0	0	0	0	0	7	7	0	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	4	5	-1	2	0.500	7	14	21	0	0	103	78	66	5	61	755	779	851	25	45	19	2	50	3	0	0.00%	1	0	100.00%	0	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
	_Since Last GM Reset	52	33	13	0	2	0	2	2	251	161	90	26	16	8	0	1	0	0	1	137	89	48	26	17	5	0	1	0	2	1	114	72	42	76	0.731	251	450	701	2	2	103	78	66	5	2396	755	779	851	25	1699	507	291	1248	125	27	21.60%	131	24	81.68%	5	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
	_Vs Conference	28	16	7	0	2	0	1	2	141	91	50	16	10	4	0	1	0	0	1	95	57	38	12	6	3	0	1	0	1	1	46	34	12	40	0.714	141	248	389	2	1	103	78	66	5	1365	755	779	851	25	928	265	170	687	69	11	15.94%	78	16	79.49%	2	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
	_Vs Division	13	5	5	0	0	0	0	2	53	43	10	5	3	3	0	0	0	0	1	23	22	1	8	2	2	0	0	0	0	1	30	21	9	12	0.462	53	91	144	2	1	103	78	66	5	514	755	779	851	25	437	117	74	341	34	5	14.71%	37	11	70.27%	1	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336

			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
52	76	W2	251	450	701	2396	1699	507	291	1248	2	2

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
52	33	13	2	0	2	2	251	161

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
26	16	8	1	0	0	1	137	89

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
26	17	5	1	0	2	1	114	72

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
7	3	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
125	27	21.60%	131	24	81.68%	5

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
755	779	851	25	103	78	66	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
1224	2150	56.93%	948	1814	52.26%	496	902	54.99%

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
1380	1008	1118	350	643	336

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 - 2020-10-05	5	Crunch	4	Reign	3	W			Sommaire du Match
3 - 2020-10-07	20	Penguins	4	Crunch	14	W			Sommaire du Match
6 - 2020-10-10	39	Crunch	6	Senators	3	W			Sommaire du Match
7 - 2020-10-11	52	Rocket	4	Crunch	2	L			Sommaire du Match
11 - 2020-10-15	72	Gulls	1	Crunch	3	W			Sommaire du Match
13 - 2020-10-17	88	Crunch	3	Gulls	2	W			Sommaire du Match
15 - 2020-10-19	105	Stars	4	Crunch	3	L			Sommaire du Match
17 - 2020-10-21	120	Crunch	5	Bruins	0	W			Sommaire du Match
19 - 2020-10-23	137	Crunch	2	Americans	3	L			Sommaire du Match
21 - 2020-10-25	148	Penguins	2	Crunch	6	W			Sommaire du Match
23 - 2020-10-27	165	Gulls	6	Crunch	4	L			Sommaire du Match
24 - 2020-10-28	174	Crunch	3	Monsters	1	W			Sommaire du Match
28 - 2020-11-01	198	Crunch	4	Phantoms	3	W	X	X	Sommaire du Match
29 - 2020-11-02	210	Devils	5	Crunch	4	L	X	X	Sommaire du Match
32 - 2020-11-05	227	Checkers	2	Crunch	6	W			Sommaire du Match
34 - 2020-11-07	243	Crunch	5	Griffins	3	W			Sommaire du Match
36 - 2020-11-09	259	Wolf Pack	4	Crunch	6	W			Sommaire du Match
38 - 2020-11-11	270	Crunch	4	Rampage	3	W			Sommaire du Match
40 - 2020-11-13	286	Crunch	4	Devils	5	L	X	X	Sommaire du Match
41 - 2020-11-14	299	Senators	6	Crunch	5	L			Sommaire du Match
44 - 2020-11-17	315	Crunch	2	Thunderbirds	7	L			Sommaire du Match
46 - 2020-11-19	330	Crunch	9	Moose	0	W			Sommaire du Match
47 - 2020-11-20	339	IceHogs	2	Crunch	7	W			Sommaire du Match
50 - 2020-11-23	363	Heat	3	Crunch	5	W			Sommaire du Match
52 - 2020-11-25	380	Crunch	1	Marlies	2	L			Sommaire du Match
54 - 2020-11-27	389	Eagles	3	Crunch	6	W			Sommaire du Match
56 - 2020-11-29	409	Crunch	6	Thunderbirds	1	W			Sommaire du Match
57 - 2020-11-30	420	Bears	2	Crunch	3	W	X		Sommaire du Match
60 - 2020-12-03	438	Crunch	4	Monsters	2	W			Sommaire du Match
62 - 2020-12-05	454	Crunch	5	Stars	4	W			Sommaire du Match
63 - 2020-12-06	463	Phantoms	4	Crunch	2	L			Sommaire du Match
66 - 2020-12-09	482	Bruins	4	Crunch	7	W			Sommaire du Match
70 - 2020-12-13	507	Barracuda	1	Crunch	6	W			Sommaire du Match
72 - 2020-12-15	524	Crunch	5	Barracuda	3	W			Sommaire du Match
74 - 2020-12-17	537	Crunch	4	Bears	3	W	X		Sommaire du Match
75 - 2020-12-18	549	Rocket	6	Crunch	4	L			Sommaire du Match
79 - 2020-12-22	571	Wolves	2	Crunch	3	W			Sommaire du Match
81 - 2020-12-24	590	Crunch	4	Admirals	3	W			Sommaire du Match
83 - 2020-12-26	602	Crunch	4	Reign	5	L			Sommaire du Match
84 - 2020-12-27	609	Penguins	5	Crunch	9	W			Sommaire du Match
87 - 2020-12-30	633	Crunch	3	Roadrunners	2	W	X	X	Sommaire du Match
88 - 2020-12-31	641	Comets	3	Crunch	13	W			Sommaire du Match
91 - 2021-01-03	665	Americans	2	Crunch	5	W			Sommaire du Match
93 - 2021-01-05	680	Crunch	3	Wolf Pack	2	W			Sommaire du Match
95 - 2021-01-07	690	Crunch	6	Phantoms	3	W			Sommaire du Match
96 - 2021-01-08	701	Monsters	4	Crunch	3	L			Sommaire du Match
99 - 2021-01-11	720	Crunch	4	Wolves	5	L			Sommaire du Match
101 - 2021-01-13	731	Crunch	3	Senators	2	W			Sommaire du Match
102 - 2021-01-14	738	Bears	3	Crunch	6	W			Sommaire du Match
104 - 2021-01-16	761	Roadrunners	6	Crunch	2	L			Sommaire du Match
107 - 2021-01-19	777	Crunch	11	Condors	2	W			Sommaire du Match
110 - 2021-01-22	795	Devils	1	Crunch	3	W			Sommaire du Match
112 - 2021-01-24	812	Crunch	-	Reign	-
114 - 2021-01-26	824	Reign	-	Crunch	-
116 - 2021-01-28	837	Crunch	-	Penguins	-
119 - 2021-01-31	855	Admirals	-	Crunch	-
122 - 2021-02-03	880	Rampage	-	Crunch	-
124 - 2021-02-05	892	Crunch	-	Checkers	-
127 - 2021-02-08	911	Crunch	-	Sound Tigers	-
128 - 2021-02-09	919	Checkers	-	Crunch	-
132 - 2021-02-13	944	Gulls	-	Crunch	-
134 - 2021-02-15	958	Crunch	-	Wolf Pack	-
136 - 2021-02-17	973	Wild	-	Crunch	-
139 - 2021-02-20	998	Crunch	-	Heat	-
140 - 2021-02-21	1004	Moose	-	Crunch	-
142 - 2021-02-23	1022	Crunch	-	Griffins	-
144 - 2021-02-25	1036	Condors	-	Crunch	-
147 - 2021-02-28	1054	Crunch	-	Rocket	-
148 - 2021-03-01	1065	Griffins	-	Crunch	-
152 - 2021-03-05	1091	Marlies	-	Crunch	-
153 - 2021-03-06	1103	Crunch	-	Americans	-
156 - 2021-03-09	1122	Marlies	-	Crunch	-
159 - 2021-03-12	1143	Crunch	-	IceHogs	-
160 - 2021-03-13	1155	Sound Tigers	-	Crunch	-
163 - 2021-03-16	1177	Crunch	-	Wild	-
165 - 2021-03-18	1183	Stars	-	Crunch	-
168 - 2021-03-21	1201	Crunch	-	Gulls	-
169 - 2021-03-22	1210	Crunch	-	Eagles	-
171 - 2021-03-24	1219	Crunch	-	Bruins	-
173 - 2021-03-26	1226	Sound Tigers	-	Crunch	-
177 - 2021-03-30	1251	Thunderbirds	-	Crunch	-
180 - 2021-04-02	1264	Crunch	-	Comets	-

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
15	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
1,552,320$	2,568,495$	1,160,750$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	1,552,320$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	72	14,113$	1,016,136$

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
Saison Régulière
2	82	38	35	0	0	2	3	4	265	248	17	41	21	17	0	0	0	1	2	141	122	19	41	17	18	0	0	2	2	2	124	126	-2	76	265	460	725	2	6	109	71	82	6	2608	898	804	882	51	2381	673	840	1325	368	67	18.21%	321	62	80.69%	2	1555	2767	56.20%	1307	2495	52.38%	692	1293	53.52%	2039	1409	1863	602	1057	540
3	82	32	37	0	1	2	6	4	219	198	21	41	19	17	0	0	1	2	2	103	96	7	41	13	20	0	1	1	4	2	116	102	14	64	219	366	585	2	9	92	66	54	11	2627	940	848	820	54	2465	719	769	1479	359	70	19.50%	287	43	85.02%	1	1424	2820	50.50%	1307	2731	47.86%	601	1214	49.51%	2059	1442	1868	601	1051	534
4	82	42	29	0	2	2	3	4	260	203	57	41	23	10	0	1	2	2	3	139	94	45	41	19	19	0	1	0	1	1	121	109	12	84	260	471	731	0	5	91	85	79	8	2808	948	951	891	53	2434	724	1405	1821	602	110	18.27%	563	107	80.99%	5	1705	3162	53.92%	1522	2905	52.39%	649	1245	52.13%	2079	1412	1846	634	1040	533
5	82	48	17	0	5	2	5	5	304	195	109	41	23	10	0	3	1	2	2	153	100	53	41	25	7	0	2	1	3	3	151	95	56	96	304	539	843	1	7	123	87	84	11	3244	1007	1013	1179	73	2187	626	588	2017	245	55	22.45%	264	44	83.33%	2	1891	3021	62.60%	1443	2452	58.85%	782	1267	61.72%	2228	1611	1720	558	1036	543
6	82	49	21	0	4	2	4	2	374	232	142	41	22	14	0	2	1	1	1	170	118	52	41	27	7	0	2	1	3	1	204	114	90	98	374	667	1041	1	4	158	125	83	9	3987	1329	1331	1309	38	2475	721	537	2106	227	44	19.38%	239	44	81.59%	7	2244	3585	62.59%	1479	2638	56.07%	850	1386	61.33%	2302	1690	1650	536	1008	534
7	82	47	16	0	3	5	7	4	365	216	149	41	25	8	0	1	2	3	2	199	112	87	41	22	8	0	2	3	4	2	166	104	62	94	365	639	1004	1	5	148	122	85	15	4003	1280	1330	1334	99	2720	727	615	2193	205	49	23.90%	257	46	82.10%	7	2196	3519	62.40%	1672	2893	57.79%	829	1374	60.33%	2278	1670	1697	534	1018	541
8	82	62	14	0	1	0	3	2	453	197	256	41	33	6	0	1	0	0	1	231	93	138	41	29	8	0	0	0	3	1	222	104	118	124	453	812	1265	2	5	220	127	102	6	4432	1481	1507	1426	36	2368	697	430	1837	221	58	26.24%	180	22	87.78%	2	2219	3615	61.38%	1421	2470	57.53%	893	1422	62.80%	2398	1809	1571	498	978	527
8	82	62	14	0	1	0	3	2	453	197	256	41	33	6	0	1	0	0	1	231	93	138	41	29	8	0	0	0	3	1	222	104	118	124	453	812	1265	2	5	220	127	102	6	4432	1481	1507	1426	36	2368	697	430	1837	221	58	26.24%	180	22	87.78%	2	2219	3615	61.38%	1421	2470	57.53%	893	1422	62.80%	2398	1809	1571	498	978	527
9	52	33	13	0	2	0	2	2	251	161	90	26	16	8	0	1	0	0	1	137	89	48	26	17	5	0	1	0	2	1	114	72	42	76	251	450	701	2	2	103	78	66	5	2396	755	779	851	25	1699	507	291	1248	125	27	21.60%	131	24	81.68%	5	1224	2150	56.93%	948	1814	52.26%	496	902	54.99%	1380	1008	1118	350	643	336
Total Saison Régulière	708	413	196	0	19	15	36	29	2944	1847	1097	354	215	96	0	10	7	11	15	1504	917	587	354	198	100	0	9	8	25	14	1440	930	510	836	2944	5216	8160	13	48	1264	888	737	77	30537	10119	10070	10118	465	21097	6091	5905	15863	2573	538	20.91%	2422	414	82.91%	33	16677	28254	59.03%	12520	22868	54.75%	6685	11525	58.00%	19165	13863	14908	4813	8812	4619
Séries
4	6	2	4	0	0	0	0	0	19	20	-1	3	1	2	0	0	0	0	0	9	10	-1	3	1	2	0	0	0	0	0	10	10	0	4	19	35	54	2	0	3	11	5	0	215	60	78	68	9	220	59	102	162	39	9	23.08%	43	12	72.09%	0	164	248	66.13%	148	236	62.71%	71	104	68.27%	146	100	151	47	75	35
5	6	2	4	0	0	0	0	0	14	17	-3	3	1	2	0	0	0	0	0	8	8	0	3	1	2	0	0	0	0	0	6	9	-3	4	14	24	38	0	0	6	4	3	1	200	65	73	59	3	191	51	52	166	26	2	7.69%	25	4	84.00%	3	113	239	47.28%	101	219	46.12%	48	87	55.17%	146	98	144	47	80	41
6	8	4	4	0	0	0	0	0	32	25	7	4	2	2	0	0	0	0	0	16	14	2	4	2	2	0	0	0	0	0	16	11	5	8	32	57	89	0	0	13	11	8	0	339	103	125	110	1	292	74	52	211	29	8	27.59%	26	5	80.77%	1	178	322	55.28%	181	315	57.46%	65	130	50.00%	211	152	174	54	97	51
7	16	10	6	0	0	0	0	0	51	46	5	8	5	3	0	0	0	0	0	22	19	3	8	5	3	0	0	0	0	0	29	27	2	20	51	88	139	0	1	22	15	11	3	613	196	178	209	30	567	173	117	420	48	11	22.92%	53	13	75.47%	1	358	651	54.99%	310	618	50.16%	130	265	49.06%	416	290	371	119	215	111
8	8	4	4	0	0	0	0	0	26	24	2	4	2	2	0	0	0	0	0	13	11	2	4	2	2	0	0	0	0	0	13	13	0	8	26	49	75	0	0	13	6	7	0	387	153	122	112	0	256	91	63	200	23	7	30.43%	23	4	82.61%	0	256	384	66.67%	168	276	60.87%	73	121	60.33%	218	160	165	50	95	52
Total Séries	44	22	22	0	0	0	0	0	142	132	10	22	11	11	0	0	0	0	0	68	62	6	22	11	11	0	0	0	0	0	74	70	4	44	142	253	395	2	1	57	47	34	4	1754	577	576	558	43	1526	448	386	1159	165	37	22.42%	170	38	77.65%	5	1069	1844	57.97%	908	1664	54.57%	387	707	54.74%	1140	803	1006	319	564	292