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	Âge	Contrat	Salaire
1	Justin Bailey	0			X		100.00	67	46	88	63	89	78	80	62	59	60	61	64	62	69	64	71	99	69	0	25	1	750,000$
2	Jack Roslovic	0		X			100.00	59	38	89	71	75	72	88	69	75	68	64	62	71	65	63	81	99	69	0	23	5	1,500,000$
3	Daniel Carr	0		X			100.00	62	42	88	65	73	80	77	63	61	64	64	62	65	77	69	56	99	69	0	28	2	750,000$
4	Hudson Fasching	0			X		100.00	69	46	81	60	84	87	89	58	55	57	59	61	58	69	65	57	99	68	0	25	4	750,000$
5	Matt Read	0			X		100.00	57	43	89	62	68	78	73	61	56	59	60	63	59	84	74	52	99	67	0	34	2	750,000$
6	Reid Boucher	0		X			100.00	58	43	89	65	69	73	75	63	59	62	64	61	65	73	67	52	99	67	0	26	2	750,000$
7	Jesper Boqvist (R)	0	X				100.00	65	39	87	66	70	79	73	64	72	61	63	67	66	63	64	76	99	67	0	21	3	750,000$
8	Austin Czarnik	0	X		X		100.00	56	41	88	65	63	77	76	64	62	63	63	59	65	75	68	48	99	66	0	27	1	1,250,000$
9	Vladislav Kamenev	0	X	X			100.00	61	39	88	63	79	74	68	64	73	62	59	57	65	67	64	72	99	65	0	24	4	750,000$
10	Jansen Harkins	0	X				100.00	59	46	88	63	74	75	73	62	68	61	59	60	63	65	62	72	99	65	0	23	1	750,000$
11	Danick Martel	0		X			100.00	55	43	84	62	66	71	73	60	54	59	58	61	58	71	66	59	99	64	0	25	2	750,000$
12	Philippe Myers (R)	0				X	100.00	77	48	82	66	91	80	74	67	30	68	59	65	52	65	63	56	99	70	0	23	3	750,000$
13	Dante Fabbro	0				X	100.00	71	39	75	68	72	85	83	65	30	66	63	67	52	63	62	83	99	70	0	22	3	750,000$
14	Seth Helgeson	0				X	100.00	75	72	71	55	90	88	92	56	30	54	51	58	45	78	68	55	99	68	0	29	1	750,000$
15	Adam Boqvist (R)	0				X	100.00	63	39	88	70	69	76	72	68	30	66	61	59	52	61	62	89	99	67	0	20	3	750,000$
16	TJ Brennan	0				X	100.00	68	55	78	62	81	82	77	59	30	60	54	61	45	79	69	51	99	67	0	31	2	750,000$
17	Ryan Lindgren	0				X	100.00	69	48	78	65	73	79	72	63	30	62	56	66	50	63	65	73	99	66	0	22	1	925,000$
Rayé
1	Quinton Howden	0	X	X			100.00	54	37	80	68	73	45	45	58	40	50	54	63	55	62	54	63	99	57	0	28	3	750,000$
2	Frank Corrado	0				X	100.00	63	45	89	58	75	78	77	56	30	54	52	55	45	73	67	58	99	64	0	27	1	750,000$
3	Juuso Valimaki (R)	0				X	100.00	61	35	75	66	83	65	62	66	30	56	53	66	64	51	50	84	99	62	0	21	2	950,000$

	MOYENNE D'ÉQUIPE					100.00	63	44	84	64	76	76	75	62	49	61	59	62	58	69	64	65	99	66

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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	71	75	73	76	70	69	71	70	69	71	70	69	73	68	99	65	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	71	75	73	76	70	69	71	70	69	71	70	69	73	68	99	65

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Alain Nasredine (R)	72	72	72	72	71	71	80	CAN	46	3	400,000$

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FL	FT	S1	S2	S3
1	Seth Helgeson	MANITOBA Moose (WPG)	D	64	9	94	103	57	93	5	256	81	150	47	97	6.00%	187	1569	24.53	4	7	11	44	122	0	0	1	96	2	2	0.00%	0	0	0	1.31	0	0	1	0	2	5	8
2	Daniel Carr	MANITOBA Moose (WPG)	LW	62	48	48	96	48	26	0	103	110	373	121	259	12.87%	74	1247	20.13	5	8	13	48	116	1	1	3	149	6	0	65.00%	100	0	5	1.54	0	4	0	0	5	7	4
3	Justin Bailey	MANITOBA Moose (WPG)	RW	64	40	51	91	47	22	0	135	74	375	105	270	10.67%	58	1122	17.53	7	6	13	32	122	0	0	0	0	2	2	64.94%	77	0	1	1.62	1	5	0	0	5	6	4
4	Reid Boucher	MANITOBA Moose (WPG)	LW	64	45	41	86	20	16	0	74	92	328	62	225	13.72%	79	1065	16.65	2	9	11	45	115	0	0	4	87	5	4	59.21%	76	0	2	1.61	0	3	0	0	3	4	8
5	Hudson Fasching	MANITOBA Moose (WPG)	RW	64	36	46	82	21	31	5	166	78	290	78	198	12.41%	55	977	15.28	5	6	11	37	117	0	0	0	0	4	1	54.67%	75	0	2	1.68	1	4	0	1	3	5	4
6	Jesper Boqvist	MANITOBA Moose (WPG)	C	64	41	30	71	43	18	0	60	125	301	78	199	13.62%	44	763	11.94	0	0	0	0	0	0	0	0	0	5	1	62.30%	886	0	4	1.86	0	3	0	0	6	2	1
7	Matt Read	MANITOBA Moose (WPG)	RW	64	28	38	66	43	10	0	32	102	281	81	194	9.96%	43	789	12.33	0	0	0	0	0	0	0	2	25	3	1	50.91%	55	0	0	1.67	0	2	0	0	1	2	4
8	Frank Corrado	MANITOBA Moose (WPG)	D	62	11	55	66	31	70	0	145	47	101	32	78	10.89%	112	1123	18.11	2	5	7	24	103	0	0	0	71	1	0	0.00%	0	1	0	1.18	0	0	0	0	0	2	2
9	Austin Czarnik	MANITOBA Moose (WPG)	C/RW	64	24	4	28	-6	14	0	75	113	187	52	147	12.83%	74	680	10.64	0	0	0	0	0	0	0	0	0	4	2	57.35%	748	0	0	0.82	0	2	0	0	1	1	0
10	Adam Boqvist	MANITOBA Moose (WPG)	D	2	0	0	0	-1	2	0	6	7	7	6	1	0.00%	5	47	23.89	0	0	0	2	4	0	0	0	3	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				574	282	407	689	303	302	10	1052	829	2393	662	1668	11.78%	731	9388	16.36	25	41	66	232	703	1	1	10	433	32	13	59.99%	2017	1	14	1.47	2	23	1	1	26	34	35

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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)	64	34	25	5	0.927	2.98	3872	12	4	192	2644	0	7	1	0.906	32	64	64	11	3	1
Stats d'équipe Total ou en Moyenne			64	34	25	5	0.927	2.98	3872	12	4	192	2644	0	7	1	0.906	32	64	64	11	3	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	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
Adam Boqvist	MANITOBA Moose (WPG)	D	20	8/15/2000	Yes	81 Kg	180 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Austin Czarnik	MANITOBA Moose (WPG)	C/RW	27	12/12/1992	No	77 Kg	175 CM	No	No	No	1	Pro & Farm	1,250,000$	264,831$	1,250,000$	264,831$	0$	0$	No					Lien
Danick Martel	MANITOBA Moose (WPG)	LW	25	12/12/1994	No	84 Kg	175 CM	No	No	No	2	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$				Lien
Daniel Carr	MANITOBA Moose (WPG)	LW	28	11/1/1991	No	88 Kg	183 CM	No	No	No	2	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$				Lien
Dante Fabbro	MANITOBA Moose (WPG)	D	22	6/20/1998	No	86 Kg	183 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Frank Corrado	MANITOBA Moose (WPG)	D	27	3/26/1993	No	93 Kg	183 CM	No	No	No	1	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No					Lien
Hudson Fasching	MANITOBA Moose (WPG)	RW	25	7/28/1995	No	93 Kg	191 CM	No	No	No	4	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$	750,000$		Lien
Jack Roslovic	MANITOBA Moose (WPG)	LW	23	1/29/1997	No	85 Kg	185 CM	No	No	No	5	Pro & Farm	1,500,000$	317,797$	1,500,000$	317,797$	0$	0$	No	1,500,000$	1,500,000$	1,500,000$	1,500,000$	Lien
Jansen Harkins	MANITOBA Moose (WPG)	C	23	5/23/1997	No	83 Kg	185 CM	No	No	No	1	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No					Lien
Jesper Boqvist	MANITOBA Moose (WPG)	C	21	10/30/1998	Yes	82 Kg	183 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Justin Bailey	MANITOBA Moose (WPG)	RW	25	7/1/1995	No	97 Kg	193 CM	No	No	No	1	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No					Lien
Juuso Valimaki	MANITOBA Moose (WPG)	D	21	10/6/1998	Yes	96 Kg	188 CM	No	No	No	2	Pro & Farm	950,000$	201,271$	750,000$	158,898$	0$	0$	No	950,000$				Lien
Matt Read	MANITOBA Moose (WPG)	RW	34	6/14/1986	No	85 Kg	178 CM	No	No	No	2	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$				Lien
Philippe Desrosiers	MANITOBA Moose (WPG)	G	25	8/16/1995	No	89 Kg	185 CM	No	No	No	1	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No					Lien
Philippe Myers	MANITOBA Moose (WPG)	D	23	1/25/1997	Yes	95 Kg	196 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Quinton Howden	MANITOBA Moose (WPG)	C/LW	28	1/21/1992	No	86 Kg	188 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Reid Boucher	MANITOBA Moose (WPG)	LW	26	9/8/1993	No	89 Kg	178 CM	No	No	No	2	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$				Lien
Ryan Lindgren	MANITOBA Moose (WPG)	D	22	2/11/1998	No	87 Kg	183 CM	No	No	No	1	Pro & Farm	925,000$	195,975$	750,000$	158,898$	0$	0$	No					Lien
Seth Helgeson	MANITOBA Moose (WPG)	D	29	10/8/1990	No	100 Kg	193 CM	No	No	No	1	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No					Lien
TJ Brennan	MANITOBA Moose (WPG)	D	31	4/3/1989	No	98 Kg	185 CM	No	No	No	2	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$				Lien
Vladislav Kamenev	MANITOBA Moose (WPG)	C/LW	24	8/12/1996	No	88 Kg	188 CM	No	No	No	4	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$	750,000$		Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	25.19	89 Kg	185 CM	2.24	827,381$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Daniel Carr		Justin Bailey	31	1	2	2
2	Reid Boucher		Hudson Fasching	26	1	2	2
3		Jesper Boqvist	Matt Read	23	1	2	2
4		Austin Czarnik		20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Seth Helgeson		31	1	2	2
2			26	1	2	2
3		Seth Helgeson	23	1	2	2
4			20	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Daniel Carr		Justin Bailey	55	1	2	2
2	Reid Boucher		Hudson Fasching	45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Seth Helgeson		55	1	2	2
2			45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Daniel Carr	55	1	2	2
2		Reid Boucher	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Seth Helgeson		55	1	2	2
2			45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		55	1	2	2	Seth Helgeson		55	1	2	2
2		45	1	2	2			45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Daniel Carr	55	1	2	2
2		Reid Boucher	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Seth Helgeson		55	1	2	2
2			45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Daniel Carr		Justin Bailey	Seth Helgeson

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Daniel Carr		Justin Bailey	Seth Helgeson

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Daniel Carr, , Reid Boucher	, Justin Bailey	Matt Read

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,		,

Tirs de Pénalité
, Justin Bailey, Daniel Carr, Hudson Fasching,

Gardien
#1 : , #2 : Philippe Desrosiers

Lignes d'Attaque Perso. en Prol.
, Justin Bailey, Daniel Carr, Hudson Fasching, , Matt Read, Matt Read, Reid Boucher, , Jesper Boqvist, Austin Czarnik

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

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	BAKERSFIELD Condors	3	3	0	0	0	0	0	0	15	1	14	2	2	0	0	0	0	0	0	12	0	12	1	1	0	0	0	0	0	0	3	1	2	6	1.000	15	24	39	0	2	131	89	62	4	239	796	825	839	61	55	15	8	74	2	1	50.00%	4	0	100.00%	1	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
2	BELLEVILLE Senators	7	7	0	0	0	0	0	0	60	21	39	3	3	0	0	0	0	0	0	28	6	22	4	4	0	0	0	0	0	0	32	15	17	14	1.000	60	97	157	0	0	131	89	62	4	359	796	825	839	61	293	84	34	104	13	7	53.85%	16	5	68.75%	0	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
3	BINGHAMTON Devils	4	0	3	0	0	0	1	0	8	16	-8	2	0	2	0	0	0	0	0	3	7	-4	2	0	1	0	0	0	1	0	5	9	-4	2	0.250	8	12	20	0	0	131	89	62	4	117	796	825	839	61	220	54	46	110	14	2	14.29%	22	7	68.18%	0	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
4	BRIDGEPORT Sound Tigers	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	131	89	62	4	24	796	825	839	61	53	14	6	11	4	0	0.00%	3	0	100.00%	0	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
5	BROOKLYN Wolfpack	1	1	0	0	0	0	0	0	10	3	7	1	1	0	0	0	0	0	0	10	3	7	0	0	0	0	0	0	0	0	0	0	0	2	1.000	10	16	26	0	0	131	89	62	4	48	796	825	839	61	24	7	9	26	1	1	100.00%	2	0	100.00%	0	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
6	CAROLINA Checkers	3	3	0	0	0	0	0	0	30	5	25	1	1	0	0	0	0	0	0	12	1	11	2	2	0	0	0	0	0	0	18	4	14	6	1.000	30	50	80	0	0	131	89	62	4	173	796	825	839	61	96	25	18	36	3	2	66.67%	8	1	87.50%	0	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
7	CHICAGO Wolves	4	0	4	0	0	0	0	0	5	13	-8	3	0	3	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	5	8	13	1	0	131	89	62	4	106	796	825	839	61	164	62	28	66	7	1	14.29%	13	3	76.92%	0	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
8	COLORADO Eagles	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	131	89	62	4	33	796	825	839	61	35	5	4	6	6	1	16.67%	2	2	0.00%	0	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
9	GRAND RAPIDS Griffins	4	2	1	0	0	1	0	0	17	12	5	1	0	1	0	0	0	0	0	3	4	-1	3	2	0	0	0	1	0	0	14	8	6	5	0.625	17	24	41	0	0	131	89	62	4	141	796	825	839	61	165	43	16	86	2	0	0.00%	8	3	62.50%	0	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
10	HERSEY Bears	2	0	0	0	1	0	0	1	8	8	0	1	0	0	0	1	0	0	0	5	4	1	1	0	0	0	0	0	0	1	3	4	-1	3	0.750	8	15	23	0	0	131	89	62	4	72	796	825	839	61	93	27	8	32	1	0	0.00%	4	0	100.00%	0	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
11	IOWA Wild	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	2	3	-1	1	0.500	2	4	6	0	0	131	89	62	4	32	796	825	839	61	38	9	2	20	1	0	0.00%	1	0	100.00%	0	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
12	LAVAL Rocket	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	3	5	0	0	131	89	62	4	31	796	825	839	61	42	19	6	16	4	0	0.00%	3	1	66.67%	0	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
13	LEHIGH VALLEY Phantoms	4	2	2	0	0	0	0	0	18	16	2	3	2	1	0	0	0	0	0	13	10	3	1	0	1	0	0	0	0	0	5	6	-1	4	0.500	18	28	46	0	0	131	89	62	4	106	796	825	839	61	195	53	20	80	10	2	20.00%	10	4	60.00%	0	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
14	MILWAUKEE Admirals	2	1	1	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	1	5	-4	1	1	0	0	0	0	0	0	4	2	2	2	0.500	5	7	12	0	0	131	89	62	4	40	796	825	839	61	103	28	10	35	2	1	50.00%	5	0	100.00%	0	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
15	ONTARIO Reign	4	2	1	0	1	0	0	0	16	12	4	1	0	0	0	1	0	0	0	5	4	1	3	2	1	0	0	0	0	0	11	8	3	6	0.750	16	26	42	0	0	131	89	62	4	185	796	825	839	61	159	50	26	67	11	3	27.27%	12	3	75.00%	0	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
16	PROVIDENCE Bruins	3	2	0	0	0	1	0	0	12	7	5	2	2	0	0	0	0	0	0	7	1	6	1	0	0	0	0	1	0	0	5	6	-1	5	0.833	12	20	32	0	1	131	89	62	4	81	796	825	839	61	123	42	6	46	13	2	15.38%	3	0	100.00%	0	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
17	ROCKFORD IceHogs	1	1	0	0	0	0	0	0	10	3	7	1	1	0	0	0	0	0	0	10	3	7	0	0	0	0	0	0	0	0	0	0	0	2	1.000	10	17	27	0	0	131	89	62	4	49	796	825	839	61	37	15	4	16	1	0	0.00%	2	0	100.00%	0	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
18	SAN ANTONIO Rampage	1	1	0	0	0	0	0	0	9	3	6	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	9	3	6	2	1.000	9	13	22	0	0	131	89	62	4	37	796	825	839	61	39	12	4	17	1	0	0.00%	2	1	50.00%	0	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
19	SAN DIEGO Gulls	2	2	0	0	0	0	0	0	24	2	22	1	1	0	0	0	0	0	0	12	2	10	1	1	0	0	0	0	0	0	12	0	12	4	1.000	24	38	62	0	1	131	89	62	4	163	796	825	839	61	21	3	6	34	3	0	0.00%	3	1	66.67%	0	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
20	SCRANTON Penguins	7	0	6	0	0	0	0	1	9	26	-17	3	0	2	0	0	0	0	1	5	10	-5	4	0	4	0	0	0	0	0	4	16	-12	1	0.071	9	14	23	0	0	131	89	62	4	167	796	825	839	61	352	102	45	111	24	0	0.00%	20	5	75.00%	0	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
21	STOCKTON Flames	2	1	1	0	0	0	0	0	7	7	0	2	1	1	0	0	0	0	0	7	7	0	0	0	0	0	0	0	0	0	0	0	0	2	0.500	7	10	17	0	0	131	89	62	4	72	796	825	839	61	87	19	6	36	1	0	0.00%	3	1	66.67%	0	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
22	SYRACUSE Crunch	1	0	1	0	0	0	0	0	0	4	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	0	0	0	0	0	131	89	62	4	22	796	825	839	61	53	12	2	19	4	0	0.00%	0	0	0.00%	0	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
23	TORONTO Marlies	2	1	0	0	0	0	1	0	9	3	6	1	1	0	0	0	0	0	0	6	1	5	1	0	0	0	0	0	1	0	3	2	1	4	1.000	9	11	20	0	0	131	89	62	4	116	796	825	839	61	52	23	6	49	5	1	20.00%	3	0	100.00%	0	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
24	TUSCON Roadrunners	1	0	1	0	0	0	0	0	0	5	-5	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	5	-5	0	0.000	0	0	0	0	0	131	89	62	4	24	796	825	839	61	45	20	10	32	4	0	0.00%	5	1	80.00%	0	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
25	UTICA Comets	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	2	5	-3	2	0.500	6	8	14	0	0	131	89	62	4	52	796	825	839	61	101	26	14	32	7	1	14.29%	7	0	100.00%	0	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
	Total	64	30	25	0	2	2	2	3	286	196	90	32	16	13	0	2	0	0	1	150	86	64	32	14	12	0	0	2	2	2	136	110	26	73	0.570	286	451	737	1	4	131	89	62	4	2489	796	825	839	61	2645	769	344	1161	144	25	17.36%	161	38	76.40%	1	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
	_Since Last GM Reset	64	30	25	0	2	2	2	3	286	196	90	32	16	13	0	2	0	0	1	150	86	64	32	14	12	0	0	2	2	2	136	110	26	73	0.570	286	451	737	1	4	131	89	62	4	2489	796	825	839	61	2645	769	344	1161	144	25	17.36%	161	38	76.40%	1	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
	_Vs Conference	44	20	19	0	1	1	1	2	187	136	51	21	9	10	0	1	0	0	1	91	57	34	23	11	9	0	0	1	1	1	96	79	17	47	0.534	187	297	484	1	2	131	89	62	4	1719	796	825	839	61	1877	528	251	809	92	18	19.57%	117	32	72.65%	1	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
	_Vs Division	19	12	10	0	0	1	1	1	55	74	-19	11	4	5	0	0	0	0	1	38	39	-1	8	8	5	0	0	1	1	0	17	35	-18	28	0.737	55	88	143	0	0	131	89	62	4	534	796	825	839	61	937	257	134	370	54	5	9.26%	61	16	73.77%	0	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323

			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
64	73	L1	286	451	737	2489	2645	769	344	1161	1	4

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
64	30	25	2	2	2	3	286	196

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
32	16	13	2	0	0	1	150	86

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
32	14	12	0	2	2	2	136	110

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
6	3	0	0	0	1

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
144	25	17.36%	161	38	76.40%	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
796	825	839	61	131	89	62	4

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
692	1879	36.83%	677	2502	27.06%	362	1057	34.25%

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
1403	1053	1783	394	687	323

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
2 - 2021-01-18	12	SCRANTON Penguins	3	MANITOBA Moose	2	L	X	X	Sommaire du Match
3 - 2021-01-19	22	MANITOBA Moose	0	SCRANTON Penguins	2	L			Sommaire du Match
5 - 2021-01-21	39	BELLEVILLE Senators	1	MANITOBA Moose	6	W			Sommaire du Match
6 - 2021-01-22	46	MANITOBA Moose	9	BELLEVILLE Senators	5	W			Sommaire du Match
7 - 2021-01-23	61	MANITOBA Moose	1	BINGHAMTON Devils	6	L			Sommaire du Match
8 - 2021-01-24	70	MANITOBA Moose	3	GRAND RAPIDS Griffins	4	L	X		Sommaire du Match
9 - 2021-01-25	79	CHICAGO Wolves	2	MANITOBA Moose	0	L			Sommaire du Match
11 - 2021-01-27	98	MANITOBA Moose	4	ONTARIO Reign	2	W			Sommaire du Match
12 - 2021-01-28	102	CAROLINA Checkers	1	MANITOBA Moose	12	W			Sommaire du Match
14 - 2021-01-30	124	PROVIDENCE Bruins	1	MANITOBA Moose	2	W			Sommaire du Match
15 - 2021-01-31	128	MANITOBA Moose	1	SCRANTON Penguins	4	L			Sommaire du Match
18 - 2021-02-03	152	LEHIGH VALLEY Phantoms	3	MANITOBA Moose	2	L			Sommaire du Match
19 - 2021-02-04	165	BINGHAMTON Devils	4	MANITOBA Moose	1	L			Sommaire du Match
20 - 2021-02-05	177	MANITOBA Moose	0	SCRANTON Penguins	6	L			Sommaire du Match
21 - 2021-02-06	187	MANITOBA Moose	9	CAROLINA Checkers	3	W			Sommaire du Match
22 - 2021-02-07	191	MANITOBA Moose	8	BELLEVILLE Senators	6	W			Sommaire du Match
24 - 2021-02-09	208	STOCKTON Flames	1	MANITOBA Moose	5	W			Sommaire du Match
26 - 2021-02-11	228	BINGHAMTON Devils	3	MANITOBA Moose	2	L			Sommaire du Match
28 - 2021-02-13	243	MANITOBA Moose	3	BAKERSFIELD Condors	1	W			Sommaire du Match
29 - 2021-02-14	252	TORONTO Marlies	1	MANITOBA Moose	6	W			Sommaire du Match
30 - 2021-02-15	267	MANITOBA Moose	6	BELLEVILLE Senators	1	W			Sommaire du Match
32 - 2021-02-17	282	BAKERSFIELD Condors	0	MANITOBA Moose	5	W			Sommaire du Match
33 - 2021-02-18	293	MANITOBA Moose	3	SCRANTON Penguins	4	L			Sommaire du Match
34 - 2021-02-19	307	ONTARIO Reign	4	MANITOBA Moose	5	W	X		Sommaire du Match
36 - 2021-02-21	320	MANITOBA Moose	5	PROVIDENCE Bruins	6	L	X		Sommaire du Match
37 - 2021-02-22	331	PROVIDENCE Bruins	0	MANITOBA Moose	5	W			Sommaire du Match
39 - 2021-02-24	345	MANITOBA Moose	9	BELLEVILLE Senators	3	W			Sommaire du Match
40 - 2021-02-25	359	UTICA Comets	1	MANITOBA Moose	4	W			Sommaire du Match
42 - 2021-02-27	370	MANITOBA Moose	3	HERSEY Bears	4	L	X	X	Sommaire du Match
43 - 2021-02-28	384	BELLEVILLE Senators	3	MANITOBA Moose	13	W			Sommaire du Match
45 - 2021-03-02	398	CHICAGO Wolves	1	MANITOBA Moose	0	L			Sommaire du Match
47 - 2021-03-04	412	MANITOBA Moose	2	CHICAGO Wolves	5	L			Sommaire du Match
48 - 2021-03-05	424	SAN DIEGO Gulls	2	MANITOBA Moose	12	W			Sommaire du Match
50 - 2021-03-07	440	MANITOBA Moose	9	SAN ANTONIO Rampage	3	W			Sommaire du Match
51 - 2021-03-08	450	MANITOBA Moose	2	UTICA Comets	5	L			Sommaire du Match
52 - 2021-03-09	459	STOCKTON Flames	6	MANITOBA Moose	2	L			Sommaire du Match
53 - 2021-03-10	476	SCRANTON Penguins	4	MANITOBA Moose	2	L			Sommaire du Match
54 - 2021-03-11	484	MANITOBA Moose	9	CAROLINA Checkers	1	W			Sommaire du Match
56 - 2021-03-13	502	MANITOBA Moose	3	ONTARIO Reign	5	L			Sommaire du Match
57 - 2021-03-14	514	CHICAGO Wolves	5	MANITOBA Moose	3	L			Sommaire du Match
59 - 2021-03-16	529	MANITOBA Moose	4	ONTARIO Reign	1	W			Sommaire du Match
60 - 2021-03-17	540	BAKERSFIELD Condors	0	MANITOBA Moose	7	W			Sommaire du Match
61 - 2021-03-18	552	MANITOBA Moose	3	GRAND RAPIDS Griffins	2	W			Sommaire du Match
63 - 2021-03-20	564	ROCKFORD IceHogs	3	MANITOBA Moose	10	W			Sommaire du Match
64 - 2021-03-21	579	HERSEY Bears	4	MANITOBA Moose	5	W	X		Sommaire du Match
66 - 2021-03-23	593	MANITOBA Moose	12	SAN DIEGO Gulls	0	W			Sommaire du Match
67 - 2021-03-24	610	LEHIGH VALLEY Phantoms	2	MANITOBA Moose	5	W			Sommaire du Match
69 - 2021-03-26	620	MANITOBA Moose	5	LEHIGH VALLEY Phantoms	6	L			Sommaire du Match
70 - 2021-03-27	634	BELLEVILLE Senators	2	MANITOBA Moose	9	W			Sommaire du Match
72 - 2021-03-29	648	MANITOBA Moose	0	TUSCON Roadrunners	5	L			Sommaire du Match
73 - 2021-03-30	655	MANITOBA Moose	0	SYRACUSE Crunch	4	L			Sommaire du Match
74 - 2021-03-31	669	COLORADO Eagles	4	MANITOBA Moose	2	L			Sommaire du Match
77 - 2021-04-03	688	BRIDGEPORT Sound Tigers	5	MANITOBA Moose	2	L			Sommaire du Match
78 - 2021-04-04	700	MANITOBA Moose	2	LAVAL Rocket	4	L			Sommaire du Match
79 - 2021-04-05	708	MANITOBA Moose	8	GRAND RAPIDS Griffins	2	W			Sommaire du Match
80 - 2021-04-06	722	SCRANTON Penguins	3	MANITOBA Moose	1	L			Sommaire du Match
81 - 2021-04-07	732	MANITOBA Moose	3	TORONTO Marlies	2	W	X	X	Sommaire du Match
82 - 2021-04-08	744	MANITOBA Moose	2	IOWA Wild	3	L	X	X	Sommaire du Match
84 - 2021-04-10	754	MILWAUKEE Admirals	5	MANITOBA Moose	1	L			Sommaire du Match
85 - 2021-04-11	766	MANITOBA Moose	4	MILWAUKEE Admirals	2	W			Sommaire du Match
87 - 2021-04-13	779	BROOKLYN Wolfpack	3	MANITOBA Moose	10	W			Sommaire du Match
89 - 2021-04-15	799	LEHIGH VALLEY Phantoms	5	MANITOBA Moose	6	W			Sommaire du Match
92 - 2021-04-18	816	MANITOBA Moose	4	BINGHAMTON Devils	3	W	X	X	Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
93 - 2021-04-19	825	GRAND RAPIDS Griffins	4	MANITOBA Moose	3	L			Sommaire du Match
94 - 2021-04-20	844	SAN ANTONIO Rampage	-	MANITOBA Moose	-
95 - 2021-04-21	853	MANITOBA Moose	-	STOCKTON Flames	-
97 - 2021-04-23	866	MANITOBA Moose	-	BINGHAMTON Devils	-
98 - 2021-04-24	878	GRAND RAPIDS Griffins	-	MANITOBA Moose	-
99 - 2021-04-25	889	MANITOBA Moose	-	COLORADO Eagles	-
100 - 2021-04-26	900	MANITOBA Moose	-	IOWA Wild	-
101 - 2021-04-27	909	IOWA Wild	-	MANITOBA Moose	-
103 - 2021-04-29	925	MANITOBA Moose	-	SYRACUSE Crunch	-
104 - 2021-04-30	936	LAVAL Rocket	-	MANITOBA Moose	-
106 - 2021-05-02	953	TUSCON Roadrunners	-	MANITOBA Moose	-
108 - 2021-05-04	964	MANITOBA Moose	-	ROCKFORD IceHogs	-
109 - 2021-05-05	974	CAROLINA Checkers	-	MANITOBA Moose	-
111 - 2021-05-07	995	MANITOBA Moose	-	BRIDGEPORT Sound Tigers	-
112 - 2021-05-08	1003	CAROLINA Checkers	-	MANITOBA Moose	-
114 - 2021-05-10	1019	SYRACUSE Crunch	-	MANITOBA Moose	-
116 - 2021-05-12	1035	MANITOBA Moose	-	BROOKLYN Wolfpack	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	35	15
Assistance	0	0
Assistance PCT	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
8	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
1,343,469$	1,737,500$	1,700,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	1,343,469$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	25	14,725$	368,125$

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
34	80	39	26	0	3	6	2	4	238	188	50	40	21	13	0	0	3	1	2	124	81	43	40	18	13	0	3	3	1	2	114	107	7	98	238	431	669	0	4	87	79	67	9	2566	854	841	846	49	2207	615	717	1489	248	43	17.34%	317	43	86.44%	2	1513	2684	56.37%	1391	2526	55.07%	685	1191	57.51%	2023	1436	1825	561	998	508
34	80	39	26	0	3	6	2	4	238	188	50	40	21	13	0	0	3	1	2	124	81	43	40	18	13	0	3	3	1	2	114	107	7	98	238	431	669	0	4	87	79	67	9	2566	854	841	846	49	2207	615	717	1489	248	43	17.34%	317	43	86.44%	2	1513	2684	56.37%	1391	2526	55.07%	685	1191	57.51%	2023	1436	1825	561	998	508
36	64	30	25	0	2	2	2	3	286	196	90	32	16	13	0	2	0	0	1	150	86	64	32	14	12	0	0	2	2	2	136	110	26	73	286	451	737	1	4	131	89	62	4	2489	796	825	839	61	2645	769	344	1161	144	25	17.36%	161	38	76.40%	1	692	1879	36.83%	677	2502	27.06%	362	1057	34.25%	1403	1053	1783	394	687	323
Total Saison Régulière	224	108	77	0	8	14	6	11	762	572	190	112	58	39	0	2	6	2	5	398	248	150	112	50	38	0	6	8	4	6	364	324	40	269	762	1313	2075	1	12	305	247	196	22	7621	2504	2507	2531	159	7059	1999	1778	4139	640	111	17.34%	795	124	84.40%	5	3718	7247	51.30%	3459	7554	45.79%	1732	3439	50.36%	5451	3926	5434	1517	2684	1340
Séries
34	14	7	7	0	0	0	0	0	32	34	-2	6	2	4	0	0	0	0	0	12	16	-4	8	5	3	0	0	0	0	0	20	18	2	14	32	59	91	1	1	10	10	9	3	443	128	151	141	23	441	126	90	284	56	6	10.71%	39	4	89.74%	1	271	545	49.72%	226	469	48.19%	107	199	53.77%	362	253	352	102	185	95
Total Séries	14	7	7	0	0	0	0	0	32	34	-2	6	2	4	0	0	0	0	0	12	16	-4	8	5	3	0	0	0	0	0	20	18	2	14	32	59	91	1	1	10	10	9	3	443	128	151	141	23	441	126	90	284	56	6	10.71%	39	4	89.74%	1	271	545	49.72%	226	469	48.19%	107	199	53.77%	362	253	352	102	185	95

	MANITOBA Moose
	GP: 64 \| W: 34 \| L: 25 \| OTL: 5 \| P: 73 GF: 286 \| GA: 196 \| PP%: 17.36% \| PK%: 76.40% DG: Lucas Giguere \| Morale : 99 \| Moyenne d'Équipe : 66 Prochain matchs #844 vs SAN ANTONIO Rampage