Stanley Cup Winners Hockey League

WINNIPEG Jets
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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
1	Jesperi Kotkaniemi	0	X				100.00	65	35	72	70	77	82	92	69	82	72	66	60	68	53	51	91	80	70	0
2	Jack Roslovic	0		X			100.00	60	35	76	68	75	74	90	67	71	68	65	60	66	54	51	81	59	68	0
3	Vladislav Kamenev	0	X	X			100.00	64	35	71	65	79	71	61	64	74	63	62	65	63	51	50	74	80	64	0
4	Justin Bailey	0			X		100.00	62	35	67	68	89	53	55	67	50	62	62	52	63	53	51	69	80	62	0
5	Matt Read	0			X		100.00	52	35	66	68	68	55	56	68	52	62	62	53	63	68	55	26	80	61	0
6	Hudson Fasching	0			X		100.00	58	89	69	69	84	50	50	69	50	62	62	51	62	51	50	58	80	60	0
7	Byron Froese	0	X				100.00	54	89	62	70	78	50	50	70	70	63	63	52	63	54	51	49	80	60	0
8	Connor Brickley	0	X	X	X		100.00	58	53	68	64	75	54	57	64	50	59	58	52	59	53	51	61	80	59	0
9	Alexandre Grenier	0			X		100.00	60	89	61	66	89	50	50	66	50	57	57	50	57	50	50	53	80	59	0
10	Kristian Vesalainen (R)	0		X			100.00	57	35	72	65	85	54	52	65	50	57	57	52	57	50	50	83	80	59	0
11	Jansen Harkins	0	X				100.00	50	89	64	67	74	50	50	67	50	59	59	50	59	50	50	44	80	58	0
12	Quinton Howden	0	X	X			100.00	54	37	80	68	73	45	45	58	40	50	54	63	55	62	54	63	80	57	0
13	Jason Garrison	0				X	100.00	59	35	75	61	81	73	58	61	30	53	60	72	66	72	57	23	80	64	0
14	Juuso Valimaki (R)	0				X	100.00	61	35	75	66	83	65	62	66	30	56	53	66	64	51	50	84	80	62	0
15	TJ Brennan	0				X	100.00	57	89	58	70	81	50	50	70	30	50	45	50	55	52	51	62	80	57	0
16	Seth Helgeson	0				X	100.00	64	89	42	58	91	46	50	58	30	46	41	50	51	52	51	48	80	54	0
17	Frank Corrado	0				X	100.00	53	89	69	56	75	50	50	56	30	47	42	50	52	53	51	47	43	53	0
18	Ryan Lindgren (R)	0				X	100.00	53	35	53	58	75	47	52	58	30	45	41	51	51	50	50	73	26	52	0
Rayé
1	Danick Martel	0		X			100.00	61	35	75	56	64	67	54	56	63	57	57	58	57	51	50	42	20	58	0
2	Reid Boucher	0		X			100.00	50	35	69	70	69	1	50	70	70	70	70	50	70	55	52	60	74	57	0
3	Roman Lyubimov (R)	0	X	X			100.00	51	35	80	67	76	45	43	57	33	48	54	64	54	62	52	63	81	57	0
4	Andrey Pedan	0				X	100.00	67	47	58	50	87	58	69	58	30	46	40	60	57	51	51	65	20	57	0

	MOYENNE D'ÉQUIPE					100.00	58	54	67	65	79	54	57	64	48	57	56	56	60	54	51	60	69	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	Philippe Desrosiers	100.00	74	62	81	76	73	73	74	73	73	73	68	50	62	43	76	64	0
2	Jean-Francois Berube	100.00	51	56	69	69	65	55	58	60	61	57	55	64	55	55	80	54	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	63	59	75	73	69	64	66	67	67	65	62	57	59	49	78	59

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dean Evason	68	68	68	68	76	76	62	CAN	56	2	325,000$

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	FO%	FOT	P/20	S1	S2	S3
1	TJ Brennan	Manitoba Moose (WPG)	D	7	0	7	7	2	10	14	10	9	3	12	0.00%	16	133	19.04	0	1	1	3	18	0	1	1	0	8	0	0.00%	0	1.05	0	0	0
2	Connor Brickley	Manitoba Moose (WPG)	C/LW/RW	7	3	3	6	2	2	11	9	32	8	12	9.38%	4	102	14.66	0	1	1	0	6	0	0	0	2	9	0	59.09%	22	1.17	0	0	1
3	Matt Read	Manitoba Moose (WPG)	RW	7	2	4	6	-2	4	12	8	34	10	31	5.88%	7	116	16.67	0	1	1	3	9	0	0	0	0	12	1	54.55%	11	1.03	1	1	0
4	Hudson Fasching	Manitoba Moose (WPG)	RW	7	2	3	5	1	0	9	11	23	9	21	8.70%	1	85	12.21	0	0	0	0	0	0	0	0	0	0	0	53.85%	13	1.17	0	1	0
5	Juuso Valimaki	Manitoba Moose (WPG)	D	7	4	1	5	-4	10	18	10	19	4	10	21.05%	12	162	23.20	3	0	3	7	11	0	0	0	0	11	0	0.00%	0	0.62	1	0	0
6	Kristian Vesalainen	Manitoba Moose (WPG)	LW	7	1	3	4	-3	2	13	12	21	8	20	4.76%	5	92	13.18	0	0	0	0	0	0	0	0	0	0	0	50.00%	4	0.87	0	0	0
7	Justin Bailey	Manitoba Moose (WPG)	RW	7	0	3	3	-3	2	20	14	28	4	34	0.00%	14	136	19.56	0	3	3	3	6	0	0	0	1	8	0	56.25%	16	0.44	0	0	0
8	Byron Froese	Manitoba Moose (WPG)	C	7	2	1	3	-1	2	5	8	27	2	14	7.41%	4	70	10.13	1	0	1	2	1	0	0	0	0	1	1	58.43%	89	0.85	0	0	0
9	Jesperi Kotkaniemi	Manitoba Moose (WPG)	C	2	2	1	3	1	6	7	5	13	4	8	15.38%	1	39	19.71	1	1	2	2	5	1	0	1	1	3	1	56.90%	58	1.52	0	0	0
10	Alexandre Grenier	Manitoba Moose (WPG)	RW	7	1	1	2	0	2	6	9	12	3	10	8.33%	1	69	9.86	0	0	0	0	0	0	0	0	0	2	0	57.14%	7	0.58	0	0	0
11	Vladislav Kamenev	Manitoba Moose (WPG)	C/LW	2	0	2	2	0	0	2	8	8	3	6	0.00%	1	34	17.43	0	0	0	3	5	0	0	0	0	2	0	71.11%	45	1.15	0	0	1
12	Jack Roslovic	Manitoba Moose (WPG)	LW	2	0	2	2	0	2	3	5	13	1	5	0.00%	0	41	20.86	0	2	2	2	5	0	0	0	1	4	0	50.00%	2	0.96	0	0	0
13	Jason Garrison	Manitoba Moose (WPG)	D	2	1	0	1	-2	0	2	2	2	0	1	50.00%	7	48	24.29	1	0	1	1	5	0	0	0	0	3	0	0.00%	0	0.41	0	0	0
14	Jansen Harkins	Manitoba Moose (WPG)	C	7	1	0	1	-1	0	1	4	6	0	1	16.67%	0	19	2.84	0	0	0	0	0	0	0	0	0	0	0	54.17%	24	1.01	0	0	0
15	Frank Corrado	Manitoba Moose (WPG)	D	2	0	0	0	2	0	3	1	0	1	2	0.00%	0	31	15.66	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0
16	Seth Helgeson	Manitoba Moose (WPG)	D	2	0	0	0	-1	0	5	1	3	0	0	0.00%	2	39	19.57	0	0	0	0	5	0	0	0	0	3	0	0.00%	0	0.00	0	0	0
17	Quinton Howden	Manitoba Moose (WPG)	C/LW	2	0	0	0	-1	0	1	4	6	0	4	0.00%	0	19	9.93	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0
18	Ryan Lindgren	Manitoba Moose (WPG)	D	2	0	0	0	2	0	2	0	0	1	3	0.00%	2	31	15.91	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				86	19	31	50	-8	42	134	121	256	61	194	7.42%	77	1276	14.84	6	9	15	26	82	1	1	2	5	72	3	59.11%	291	0.78	2	2	2

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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	Philippe Desrosiers	Manitoba Moose (WPG)	7	3	3	1	0.935	2.78	431	2	0	20	307	0	1	0	0.000	0	7	0	2	0	0
Stats d'équipe Total ou en Moyenne			7	3	3	1	0.935	2.78	431	2	0	20	307	0	1	0	0.000	0	7	0	2	0	0

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Moyen	Salaire Moyen Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Link
Alexandre Grenier	Manitoba Moose (WPG)	RW	27	1991-09-05	No	91 Kg	196 CM	No	No	No	2	Pro & Farm	750,000$	30,612$	750,000$	30,612$	0$	0$	No	750,000$				Lien
Andrey Pedan	Manitoba Moose (WPG)	D	26	1993-07-03	No	97 Kg	196 CM	No	No	No	0	Pro & Farm					0$	0$	No					Lien
Byron Froese	Manitoba Moose (WPG)	C	28	1991-03-12	No	92 Kg	185 CM	No	No	No	2	Pro & Farm	750,000$	30,612$	750,000$	30,612$	0$	0$	No	750,000$				Lien
Connor Brickley	Manitoba Moose (WPG)	C/LW/RW	27	1992-02-25	No	92 Kg	183 CM	No	No	No	2	Pro & Farm	750,000$	30,612$	750,000$	30,612$	0$	0$	No	750,000$				Lien
Danick Martel	Manitoba Moose (WPG)	LW	24	1994-12-12	No	80 Kg	173 CM	No	No	No	0	Pro & Farm					0$	0$	No					Lien
Frank Corrado	Manitoba Moose (WPG)	D	26	1993-03-26	No	93 Kg	183 CM	No	No	No	3	Pro & Farm	750,000$	30,612$	750,000$	30,612$	0$	0$	No	750,000$	750,000$			Lien
Hudson Fasching	Manitoba Moose (WPG)	RW	24	1995-07-28	No	93 Kg	191 CM	No	No	No	1	Pro & Farm	750,000$	30,612$	750,000$	30,612$	0$	0$	No					Lien
Jack Roslovic	Manitoba Moose (WPG)	LW	22	1997-01-29	No	85 Kg	185 CM	No	No	No	1	Pro & Farm	750,000$	30,612$	750,000$	30,612$	0$	0$	No					Lien
Jansen Harkins	Manitoba Moose (WPG)	C	22	1997-05-23	No	83 Kg	185 CM	No	No	No	1	Pro & Farm	750,000$	30,612$	750,000$	30,612$	0$	0$	No					Lien
Jason Garrison	Manitoba Moose (WPG)	D	34	1984-11-13	No	99 Kg	185 CM	No	No	No	1	Pro & Farm	750,000$	30,612$	750,000$	30,612$	0$	0$	No					Lien
Jean-Francois Berube	Manitoba Moose (WPG)	G	28	1991-07-13	No	80 Kg	185 CM	No	No	No	2	Pro & Farm	750,000$	30,612$	750,000$	30,612$	0$	0$	No	750,000$
Jesperi Kotkaniemi	Manitoba Moose (WPG)	C	19	2000-07-06	No	84 Kg	188 CM	No	No	No	2	Pro & Farm	750,000$	30,612$	750,000$	30,612$	0$	0$	No	750,000$				Lien
Justin Bailey	Manitoba Moose (WPG)	RW	24	1995-07-01	No	97 Kg	193 CM	No	No	No	3	Pro & Farm	750,000$	30,612$	750,000$	30,612$	0$	0$	No	750,000$	750,000$			Lien
Juuso Valimaki	Manitoba Moose (WPG)	D	20	1998-10-06	Yes	96 Kg	188 CM	No	No	No	2	Pro & Farm	750,000$	30,612$	750,000$	30,612$	0$	0$	No	750,000$				Lien
Kristian Vesalainen	Manitoba Moose (WPG)	LW	20	1999-06-01	Yes	94 Kg	191 CM	No	No	No	2	Pro & Farm	750,000$	30,612$	750,000$	30,612$	0$	0$	No	750,000$				Lien
Matt Read	Manitoba Moose (WPG)	RW	33	1986-06-14	No	85 Kg	178 CM	No	No	No	4	Pro & Farm	750,000$	30,612$	750,000$	30,612$	0$	0$	No	750,000$	750,000$	750,000$		Lien
Philippe Desrosiers	Manitoba Moose (WPG)	G	24	1995-08-16	No	89 Kg	185 CM	No	No	No	3	Pro & Farm	750,000$	30,612$	750,000$	30,612$	0$	0$	No	750,000$	750,000$			Lien
Quinton Howden	Manitoba Moose (WPG)	C/LW	27	1992-01-21	No	86 Kg	188 CM	No	No	No	5	Pro & Farm	750,000$	30,612$	750,000$	30,612$	0$	0$	No	750,000$	750,000$	750,000$	750,000$
Reid Boucher	Manitoba Moose (WPG)	LW	25	1993-09-08	No	89 Kg	178 CM	No	No	No	1	Pro & Farm	750,000$	30,612$	750,000$	30,612$	0$	0$	No					Lien
Roman Lyubimov	Manitoba Moose (WPG)	C/LW	27	1992-01-06	Yes	94 Kg	188 CM	No	No	No	1	Pro & Farm	950,000$	38,775$	950,000$	38,775$	0$	0$	No
Ryan Lindgren	Manitoba Moose (WPG)	D	21	1998-02-11	Yes	91 Kg	183 CM	No	No	No	2	Pro & Farm	750,000$	30,612$	750,000$	30,612$	0$	0$	No	750,000$				Lien
Seth Helgeson	Manitoba Moose (WPG)	D	28	1990-10-08	No	100 Kg	193 CM	No	No	No	3	Pro & Farm	750,000$	30,612$	750,000$	30,612$	0$	0$	No	750,000$	750,000$			Lien
TJ Brennan	Manitoba Moose (WPG)	D	30	1989-04-03	No	98 Kg	185 CM	No	No	No	4	Pro & Farm	750,000$	30,612$	750,000$	30,612$	0$	0$	No	750,000$	750,000$	750,000$		Lien
Vladislav Kamenev	Manitoba Moose (WPG)	C/LW	23	1996-08-12	No	88 Kg	188 CM	No	No	No	1	Pro & Farm	830,000$	33,877$	830,000$	33,877$	0$	0$	No					Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
24	25.38	91 Kg	185 CM	2.00	699,167$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Jack Roslovic	Jesperi Kotkaniemi	Justin Bailey	34	1	2	2
2	Kristian Vesalainen	Vladislav Kamenev	Matt Read	27	1	2	2
3	Connor Brickley	Byron Froese	Hudson Fasching	22	1	2	2
4	Quinton Howden	Jansen Harkins	Alexandre Grenier	17	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jason Garrison	Juuso Valimaki	46	1	2	2
2	TJ Brennan	Seth Helgeson	32	1	2	2
3	Seth Helgeson	Jason Garrison	22	1	2	2
4	Juuso Valimaki	TJ Brennan	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Jack Roslovic	Jesperi Kotkaniemi	Kristian Vesalainen	60	1	2	2
2	Connor Brickley	Byron Froese	Justin Bailey	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Juuso Valimaki	TJ Brennan	60	1	2	2
2	TJ Brennan	Jason Garrison	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jesperi Kotkaniemi	Matt Read	55	1	2	2
2	Connor Brickley	Justin Bailey	0	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			0	0	0	0
2			0	0	0	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		0	0	0	0			0	0	0	0
2		0	0	0	0			0	0	0	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Connor Brickley	Hudson Fasching	55	1	2	2
2	Justin Bailey	Hudson Fasching	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Juuso Valimaki	Jason Garrison	55	1	2	2
2	TJ Brennan	Seth Helgeson	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,	,

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,		,

Tirs de Pénalité
, , , ,

Gardien
#1 : , #2 :

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	Syracruse Crunch	7	3	4	0	0	0	0	0	19	20	-1	3	1	2	0	0	0	0	0	6	9	-3	4	2	2	0	0	0	0	0	13	11	2	6	0.429	19	32	51	0	0	12	4	3	0	262	92	85	77	8	307	79	46	144	18	6	33.33%	18	3	83.33%	1	104	286	36.36%	78	276	28.26%	30	100	30.00%	160	117	190	44	80	38
	Total	7	3	4	0	0	0	0	0	19	20	-1	3	1	2	0	0	0	0	0	6	9	-3	4	2	2	0	0	0	0	0	13	11	2	6	0.429	19	32	51	0	0	12	4	3	0	262	92	85	77	8	307	79	46	144	18	6	33.33%	18	3	83.33%	1	104	286	36.36%	78	276	28.26%	30	100	30.00%	160	117	190	44	80	38
	_Since Last GM Reset	7	3	4	0	0	0	0	0	19	20	-1	3	1	2	0	0	0	0	0	6	9	-3	4	2	2	0	0	0	0	0	13	11	2	6	0.429	19	32	51	0	0	12	4	3	0	262	92	85	77	8	307	79	46	144	18	6	33.33%	18	3	83.33%	1	104	286	36.36%	78	276	28.26%	30	100	30.00%	160	117	190	44	80	38
	_Vs Conference	7	3	4	0	0	0	0	0	19	20	-1	3	1	2	0	0	0	0	0	6	9	-3	4	2	2	0	0	0	0	0	13	11	2	6	0.429	19	32	51	0	0	12	4	3	0	262	92	85	77	8	307	79	46	144	18	6	33.33%	18	3	83.33%	1	104	286	36.36%	78	276	28.26%	30	100	30.00%	160	117	190	44	80	38

			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
7	6	L1	19	32	51	262	307	79	46	144	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	4	0	0	0	0	19	20

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	6	9

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	13	11

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	3	0	1	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
18	6	33.33%	18	3	83.33%	1

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
92	85	77	8	12	4	3	0

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
104	286	36.36%	78	276	28.26%	30	100	30.00%

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
160	117	190	44	80	38

Derniers Match Joués Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	Lien
1 - 2020-05-08	3	Manitoba Moose	3	Syracruse Crunch	4	L	X	Sommaire du Match
3 - 2020-05-10	11	Manitoba Moose	2	Syracruse Crunch	1	W		Sommaire du Match
5 - 2020-05-12	19	Syracruse Crunch	3	Manitoba Moose	0	L		Sommaire du Match
7 - 2020-05-14	27	Syracruse Crunch	4	Manitoba Moose	2	L		Sommaire du Match
9 - 2020-05-16	35	Manitoba Moose	5	Syracruse Crunch	2	W		Sommaire du Match
11 - 2020-05-18	43	Syracruse Crunch	2	Manitoba Moose	4	W		Sommaire du Match
13 - 2020-05-20	51	Manitoba Moose	3	Syracruse Crunch	4	L		Sommaire du Match

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
38	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
0$	1,678,000$	1,678,000$	0$

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

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	2	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
Séries
32	20	12	8	0	0	0	0	0	48	48	0	10	6	4	0	0	0	0	0	28	25	3	10	6	4	0	0	0	0	0	20	23	-3	24	48	84	132	0	1	18	13	16	1	583	180	195	188	20	599	203	203	338	81	13	16.05%	87	12	86.21%	0	373	660	56.52%	389	711	54.71%	150	292	51.37%	471	325	520	151	249	124
33	7	3	4	0	0	0	0	0	19	20	-1	3	1	2	0	0	0	0	0	6	9	-3	4	2	2	0	0	0	0	0	13	11	2	6	19	32	51	0	0	12	4	3	0	262	92	85	77	8	307	79	46	144	18	6	33.33%	18	3	83.33%	1	104	286	36.36%	78	276	28.26%	30	100	30.00%	160	117	190	44	80	38
Total Séries	27	15	12	0	0	0	0	0	67	68	-1	13	7	6	0	0	0	0	0	34	34	0	14	8	6	0	0	0	0	0	33	34	-1	30	67	116	183	0	1	30	17	19	1	845	272	280	265	28	906	282	249	482	99	19	19.19%	105	15	85.71%	1	477	946	50.42%	467	987	47.32%	180	392	45.92%	632	443	711	195	329	163