Ligue de hockey Simulée Ste-Flanelle

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire Moyen
1	Denis Gurianov		X	X		100.00	76	54	94	78	76	64	89	71	31	60	73	58	25	55	55	0	50	64	0	22	1	925,000$
2	Sam Bennett	X	X	X		100.00	83	45	77	83	74	64	79	63	55	59	67	60	25	65	66	0	50	63	0	23	3	1,600,000$
3	Janne Kuokkanen	X	X			100.00	76	69	88	76	69	71	73	62	75	64	60	67	59	50	50	0	50	62	0	21	2	792,500$
4	Isac Lundestrom	X				100.00	61	41	99	80	68	66	68	72	76	72	55	64	25	46	46	0	50	62	0	19	3	925,000$
5	Michael McLeod	X				100.00	81	44	89	79	70	56	85	59	74	63	55	72	25	47	47	0	50	62	0	21	2	925,000$
6	Brian Pinho	X				100.00	72	64	92	66	64	80	85	60	75	54	62	62	59	44	44	0	50	60	0	24	2	666,666$
7	Zack MacEwen	X		X		100.00	86	91	69	66	80	62	72	56	50	56	72	63	25	45	45	0	50	60	0	23	3	925,000$
8	Klim Kostin	X	X	X		100.00	74	74	66	70	74	72	76	58	71	55	59	64	59	45	45	0	50	59	0	20	3	863,333$
9	Anthony Angello	X				100.00	76	79	69	66	79	74	78	58	73	49	63	64	60	44	44	0	50	59	0	23	1	560,001$
10	Jonathan Davidsson (R)			X		100.00	74	67	89	76	67	52	53	50	50	47	48	61	46	44	44	0	50	54	0	22	3	666,666$
11	Jakob Forsbacka Karlsson (R)	X				100.00	47	35	92	69	58	49	35	51	56	51	51	61	47	37	34	0	50	51	0	22	1	900,000$
12	Jonas Rondbjerg (R)	X	X	X		100.00	50	46	95	64	71	62	85	43	53	35	44	44	46	54	54	0	50	50	0	20	4	806,667$
13	Dennis Gilbert				X	100.00	99	99	52	61	77	67	74	58	25	49	48	81	25	46	46	0	50	64	0	22	1	650,000$
14	Vince Dunn				X	100.00	68	49	87	85	73	70	92	69	25	55	53	56	25	60	61	0	50	64	0	22	1	825,000$
15	Cale Fleury				X	100.00	90	46	94	77	74	64	73	53	25	39	47	69	25	47	47	0	50	62	0	20	2	771,666$
16	Doyle Somerby				X	100.00	80	80	76	62	83	69	81	46	25	35	39	65	37	52	52	0	50	59	0	25	2	725,000$
17	Guillaume Brisebois				X	100.00	74	69	81	68	67	68	70	49	25	39	40	63	39	51	51	0	50	58	0	22	1	700,000$
18	Jack Dougherty				X	100.00	73	69	83	63	69	70	75	49	25	38	40	62	39	49	49	0	50	57	0	23	1	926,000$
Rayé
1	Dennis Yan		X			100.00	74	72	82	63	72	66	69	55	50	47	56	64	55	52	52	0	50	57	0	22	1	560,000$
2	Mason Shaw	X				100.00	71	64	86	58	64	62	64	55	69	48	57	60	54	44	44	0	50	55	0	20	1	666,666$

	MOYENNE D'ÉQUIPE					100.00	74	63	83	71	71	65	74	57	50	51	54	63	40	49	49	0	50	59

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Pheonix Copley	100.00	60	59	73	83	58	59	64	64	62	61	30	46	46	0	50	61	0
2	Vitek Vanecek	100.00	62	63	79	68	60	64	61	68	63	59	30	44	44	0	50	61	0
Rayé
1	Josef Korenar	100.00	51	63	79	70	47	53	50	56	50	50	30	44	44	0	50	54	0
2	Evan Cormier	100.00	47	48	60	81	45	46	50	53	47	48	30	44	44	0	50	51	0

	MOYENNE D'ÉQUIPE	100.00	55	58	73	76	53	56	56	60	56	55	30	45	45	0	50	57

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

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	P/20	S1	S2	S3
1	Denis Gurianov	Cougars (Det)	LW/RW	8	6	6	12	1	0	6	22	38	10	29	15.79%	0	190	23.78	1	4	5	5	21	1	26	1	0	35.80%	81	1.26	2	0	0
2	Janne Kuokkanen	Cougars (Det)	C/LW	8	5	4	9	7	0	19	25	45	14	23	11.11%	0	157	19.63	1	1	2	10	24	0	5	0	1	12.50%	16	1.15	1	1	1
3	Isac Lundestrom	Cougars (Det)	C	8	1	8	9	7	2	2	36	30	16	22	3.33%	1	165	20.69	0	1	1	7	25	0	13	0	0	61.11%	216	1.09	0	0	0
4	Dennis Gilbert	Cougars (Det)	D	8	3	5	8	3	10	38	6	21	7	10	14.29%	25	188	23.59	2	2	4	11	22	0	18	1	1	0.00%	0	0.85	2	2	0
5	Sam Bennett	Cougars (Det)	C/LW/RW	8	0	7	7	1	8	18	26	32	8	28	0.00%	3	186	23.36	0	2	2	5	21	1	22	0	0	50.56%	180	0.75	0	0	0
6	Klim Kostin	Cougars (Det)	C/LW/RW	8	2	4	6	7	4	27	12	29	8	22	6.90%	1	151	18.95	0	1	1	6	24	0	0	0	0	63.64%	11	0.79	0	1	0
7	Cale Fleury	Cougars (Det)	D	8	2	4	6	6	2	18	5	19	6	16	10.53%	11	168	21.05	1	0	1	8	22	0	20	1	0	0.00%	0	0.71	1	0	1
8	Vince Dunn	Cougars (Det)	D	8	1	5	6	3	0	0	6	14	2	18	7.14%	9	193	24.13	1	3	4	8	23	0	22	0	0	0.00%	0	0.62	0	0	0
9	Zack MacEwen	Cougars (Det)	C/RW	8	3	1	4	-1	10	23	6	25	7	13	12.00%	0	140	17.51	2	1	3	8	21	0	0	1	0	46.67%	15	0.57	0	0	1
10	Doyle Somerby	Cougars (Det)	D	8	1	2	3	6	6	15	4	12	2	7	8.33%	4	167	20.96	0	1	1	4	23	0	18	1	0	0.00%	0	0.36	0	1	0
11	Jonathan Davidsson	Cougars (Det)	RW	8	1	1	2	-2	2	8	13	18	9	15	5.56%	0	122	15.26	0	0	0	0	1	0	0	0	0	14.29%	7	0.33	0	0	0
12	Brian Pinho	Cougars (Det)	C	8	1	1	2	2	0	3	2	4	1	4	25.00%	1	30	3.79	0	0	0	0	0	0	7	0	0	54.29%	35	1.32	0	0	0
13	Michael McLeod	Cougars (Det)	C	8	1	1	2	-2	2	16	25	23	9	22	4.35%	2	134	16.77	0	0	0	0	0	2	12	0	0	54.81%	135	0.30	0	0	0
14	Guillaume Brisebois	Cougars (Det)	D	8	0	1	1	-3	2	14	5	2	3	6	0.00%	10	126	15.82	0	0	0	0	3	0	0	0	0	0.00%	0	0.16	0	0	0
15	Jack Dougherty	Cougars (Det)	D	8	0	0	0	-3	8	11	2	4	1	2	0.00%	7	130	16.34	0	0	0	0	2	0	7	0	0	0.00%	0	0.00	0	0	0
16	Anthony Angello	Cougars (Det)	C	8	0	0	0	0	0	0	0	1	0	0	0.00%	0	10	1.29	0	0	0	1	2	0	0	0	0	60.00%	5	0.00	0	0	0
17	Jakob Forsbacka Karlsson	Cougars (Det)	C	8	0	0	0	0	0	0	0	0	0	0	0.00%	0	5	0.68	0	0	0	0	1	0	0	0	0	100.00%	1	0.00	0	0	0
18	Jonas Rondbjerg	Cougars (Det)	C/LW/RW	8	0	0	0	-2	0	3	0	3	0	3	0.00%	1	120	15.12	0	0	0	0	0	0	0	0	0	37.50%	8	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				144	27	50	77	30	56	221	195	320	103	240	8.44%	75	2389	16.60	8	16	24	73	242	4	175	5	2	51.97%	710	0.64	6	5	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 Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Vitek Vanecek	Cougars (Det)	8	5	3	0	0.927	2.09	488	0	1	17	233	0	0	0	0.000	0	8	0	0	0	1
Stats d'équipe Total ou en Moyenne			8	5	3	0	0.927	2.09	488	0	1	17	233	0	0	0	0.000	0	8	0	0	0	1

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Link
Anthony Angello	Cougars (Det)	C	23	1996-03-06	No	209 Lbs	6 ft5	Yes	No	No	1	Pro & Farm	560,001$	200,000$	56,000$	20,000$	No				Lien
Brian Pinho	Cougars (Det)	C	24	1995-05-10	No	173 Lbs	6 ft0	Yes	No	No	2	Pro & Farm	666,666$	238,095$	66,667$	23,810$	No	666,666$			Lien
Cale Fleury	Cougars (Det)	D	20	1998-11-19	No	203 Lbs	6 ft1	No	No	No	2	Pro & Farm	771,666$	275,595$	77,167$	27,560$	No	771,666$			Lien
Denis Gurianov	Cougars (Det)	LW/RW	22	1997-06-07	No	200 Lbs	6 ft3	No	No	No	1	Pro & Farm	925,000$	330,357$	92,500$	33,036$	No				Lien
Dennis Gilbert	Cougars (Det)	D	22	1996-10-30	No	198 Lbs	6 ft2	No	No	No	1	Pro & Farm	650,000$	232,142$	65,000$	23,214$	No				Lien
Dennis Yan	Cougars (Det)	LW	22	1997-04-14	No	197 Lbs	6 ft1	Yes	No	No	1	Pro & Farm	560,000$	200,000$	56,000$	20,000$	No				Lien
Doyle Somerby	Cougars (Det)	D	25	1994-07-04	No	218 Lbs	6 ft6	No	No	No	2	Pro & Farm	725,000$	258,928$	72,500$	25,893$	No	725,000$			Lien
Evan Cormier	Cougars (Det)	G	21	1997-11-05	No	202 Lbs	6 ft3	No	No	No	2	Pro & Farm	650,000$	232,142$	65,000$	23,214$	No	650,000$			Lien
Guillaume Brisebois	Cougars (Det)	D	22	1997-07-21	No	175 Lbs	6 ft2	No	No	No	1	Pro & Farm	700,000$	250,000$	70,000$	25,000$	No				Lien
Isac Lundestrom	Cougars (Det)	C	19	1999-11-06	No	185 Lbs	6 ft0	No	No	No	3	Pro & Farm	925,000$	330,357$	92,500$	33,036$	No	925,000$	925,000$		Lien
Jack Dougherty	Cougars (Det)	D	23	1996-05-24	No	186 Lbs	6 ft1	No	No	No	1	Pro & Farm	926,000$	330,714$	92,600$	33,071$	No				Lien
Jakob Forsbacka Karlsson	Cougars (Det)	C	22	1996-10-31	Yes	184 Lbs	6 ft1	No	No	No	1	Pro & Farm	900,000$	321,428$	90,000$	32,143$	No				Lien
Janne Kuokkanen	Cougars (Det)	C/LW	21	1998-05-25	No	188 Lbs	6 ft1	No	No	No	2	Pro & Farm	792,500$	283,035$	79,250$	28,304$	No	792,500$			Lien
Jonas Rondbjerg	Cougars (Det)	C/LW/RW	20	1999-03-31	Yes	194 Lbs	6 ft2	No	No	No	4	Pro & Farm	806,667$	288,095$	80,667$	28,810$	No	806,667$	806,667$	806,667$	Lien
Jonathan Davidsson	Cougars (Det)	RW	22	1997-03-12	Yes	185 Lbs	5 ft11	Yes	No	No	3	Pro & Farm	666,666$	238,095$	66,667$	23,810$	No	666,666$	666,666$		Lien
Josef Korenar	Cougars (Det)	G	21	1998-01-31	No	185 Lbs	6 ft1	No	No	No	2	Pro & Farm	723,333$	258,333$	72,333$	25,833$	No	723,333$			Lien
Klim Kostin	Cougars (Det)	C/LW/RW	20	1999-05-05	No	196 Lbs	6 ft3	No	No	No	3	Pro & Farm	863,333$	308,333$	86,333$	30,833$	No	863,333$	863,333$		Lien
Mason Shaw	Cougars (Det)	C	20	1998-11-02	No	180 Lbs	5 ft9	Yes	No	No	1	Pro & Farm	666,666$	238,095$	66,667$	23,810$	No				Lien
Michael McLeod	Cougars (Det)	C	21	1998-02-03	No	187 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	330,357$	92,500$	33,036$	No	925,000$			Lien
Pheonix Copley	Cougars (Det)	G	27	1992-01-18	No	200 Lbs	6 ft4	Yes	No	No	3	Pro & Farm	777,777$	277,777$	77,778$	27,778$	No	777,777$	777,777$		Lien
Sam Bennett	Cougars (Det)	C/LW/RW	23	1996-06-19	No	200 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,600,000$	571,428$	160,000$	57,143$	No	1,600,000$	1,600,000$		Lien
Vince Dunn	Cougars (Det)	D	22	1996-10-28	No	203 Lbs	6 ft0	No	No	No	1	Pro & Farm	825,000$	294,642$	82,500$	29,464$	No				Lien
Vitek Vanecek	Cougars (Det)	G	23	1996-01-08	No	180 Lbs	6 ft1	No	No	No	2	Pro & Farm	800,000$	285,714$	80,000$	28,571$	No	800,000$			Lien
Zack MacEwen	Cougars (Det)	C/RW	23	1996-07-08	No	205 Lbs	6 ft3	No	No	No	3	Pro & Farm	925,000$	330,357$	92,500$	33,036$	No	925,000$	925,000$		Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
24	22.00	193 Lbs	6 ft2	1.96	805,470$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Denis Gurianov	Sam Bennett	Zack MacEwen	40	1	2	2
2	Janne Kuokkanen	Isac Lundestrom	Klim Kostin	30	1	2	2
3	Jonas Rondbjerg	Michael McLeod	Jonathan Davidsson	20	1	2	2
4	Denis Gurianov	Brian Pinho	Sam Bennett	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Vince Dunn	Dennis Gilbert	40	1	2	2
2	Cale Fleury	Doyle Somerby	30	1	2	2
3	Guillaume Brisebois	Jack Dougherty	20	1	2	2
4	Vince Dunn	Dennis Gilbert	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Denis Gurianov	Sam Bennett	Zack MacEwen	60	1	2	2
2	Janne Kuokkanen	Isac Lundestrom	Klim Kostin	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Vince Dunn	Dennis Gilbert	60	1	2	2
2	Cale Fleury	Doyle Somerby	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Denis Gurianov	Sam Bennett	60	1	2	2
2	Isac Lundestrom	Michael McLeod	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Vince Dunn	Dennis Gilbert	60	1	2	2
2	Cale Fleury	Doyle Somerby	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Denis Gurianov	60	1	2	2	Vince Dunn	Dennis Gilbert	60	1	2	2
2	Sam Bennett	40	1	2	2	Cale Fleury	Doyle Somerby	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Denis Gurianov	Sam Bennett	60	1	2	2
2	Isac Lundestrom	Michael McLeod	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Vince Dunn	Dennis Gilbert	60	1	2	2
2	Cale Fleury	Doyle Somerby	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Denis Gurianov	Sam Bennett	Zack MacEwen	Vince Dunn	Dennis Gilbert

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Denis Gurianov	Sam Bennett	Zack MacEwen	Vince Dunn	Dennis Gilbert

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Anthony Angello, Jakob Forsbacka Karlsson, Brian Pinho	Anthony Angello, Jakob Forsbacka Karlsson	Brian Pinho

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Guillaume Brisebois, Jack Dougherty, Cale Fleury	Guillaume Brisebois	Jack Dougherty, Cale Fleury

Tirs de Pénalité
Denis Gurianov, Sam Bennett, Isac Lundestrom, Michael McLeod, Janne Kuokkanen

Gardien
#1 : Vitek Vanecek, #2 : Pheonix Copley

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	Crunch	6	4	2	0	0	0	0	0	23	13	10	3	1	2	0	0	0	0	0	8	6	2	3	3	0	0	0	0	0	0	15	7	8	8	0.667	23	42	65	0	1	10	6	10	1	246	100	105	110	5	180	57	42	167	23	7	30.43%	18	3	83.33%	0	166	317	52.37%	143	262	54.58%	60	131	45.80%	209	145	171	59	107	55
2	Oil Kings	2	1	1	0	0	0	0	0	4	4	0	2	1	1	0	0	0	0	0	4	4	0	0	0	0	0	0	0	0	0	0	0	0	2	0.500	4	8	12	0	0	10	6	10	1	74	100	105	110	5	53	18	14	54	4	1	25.00%	7	1	85.71%	0	166	317	52.37%	143	262	54.58%	60	131	45.80%	209	145	171	59	107	55
	Total	8	5	3	0	0	0	0	0	27	17	10	5	2	3	0	0	0	0	0	12	10	2	3	3	0	0	0	0	0	0	15	7	8	10	0.625	27	50	77	0	1	10	6	10	1	320	100	105	110	5	233	75	56	221	27	8	29.63%	25	4	84.00%	0	166	317	52.37%	143	262	54.58%	60	131	45.80%	209	145	171	59	107	55
	_Since Last GM Reset	8	5	3	0	0	0	0	0	27	17	10	5	2	3	0	0	0	0	0	12	10	2	3	3	0	0	0	0	0	0	15	7	8	10	0.625	27	50	77	0	1	10	6	10	1	320	100	105	110	5	233	75	56	221	27	8	29.63%	25	4	84.00%	0	166	317	52.37%	143	262	54.58%	60	131	45.80%	209	145	171	59	107	55
	_Vs Conference	8	5	3	0	0	0	0	0	27	17	10	5	2	3	0	0	0	0	0	12	10	2	3	3	0	0	0	0	0	0	15	7	8	10	0.625	27	50	77	0	1	10	6	10	1	320	100	105	110	5	233	75	56	221	27	8	29.63%	25	4	84.00%	0	166	317	52.37%	143	262	54.58%	60	131	45.80%	209	145	171	59	107	55
	_Vs Division	2	0	0	0	0	0	0	0	4	4	0	2	0	0	0	0	0	0	0	4	4	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	8	12	0	0	10	6	10	1	74	100	105	110	5	53	18	14	54	4	1	25.00%	7	1	85.71%	0	166	317	52.37%	143	262	54.58%	60	131	45.80%	209	145	171	59	107	55

			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
8	10	W1	27	50	77	320	233	75	56	221	0	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	5	3	0	0	0	0	27	17

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	2	3	0	0	0	0	12	10

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	3	0	0	0	0	0	15	7

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	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
27	8	29.63%	25	4	84.00%	0

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
100	105	110	5	10	6	10	1

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
166	317	52.37%	143	262	54.58%	60	131	45.80%

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
209	145	171	59	107	55

Derniers Match Joués Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	Lien
2 - 2021-04-28	6	Crunch	3	Cougars	2	L		Sommaire du Match
4 - 2021-04-30	14	Crunch	3	Cougars	2	L		Sommaire du Match
6 - 2021-05-02	22	Cougars	5	Crunch	4	W	X	Sommaire du Match
8 - 2021-05-04	30	Cougars	3	Crunch	2	W		Sommaire du Match
10 - 2021-05-06	38	Crunch	0	Cougars	4	W		Sommaire du Match
12 - 2021-05-08	46	Cougars	7	Crunch	1	W		Sommaire du Match
16 - 2021-05-12	59	Oil Kings	3	Cougars	1	L		Sommaire du Match
18 - 2021-05-14	63	Oil Kings	1	Cougars	3	W		Sommaire du Match
20 - 2021-05-16	67	Cougars	-	Oil Kings	-
22 - 2021-05-18	71	Cougars	-	Oil Kings	-
24 - 2021-05-20	75	Oil Kings	-	Cougars	-
26 - 2021-05-22	79	Cougars	-	Oil Kings	-
28 - 2021-05-24	83	Oil Kings	-	Cougars	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	50	20
Assistance	7,453	4,062
Assistance PCT	74.53%	81.24%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
-5	2303 - 76.77%	90,778$	453,890$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	1,933,129$	1,933,129$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	24	0

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

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