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	Byron Froese	0	X				100.00	64	53	83	63	78	85	86	62	72	60	61	64	62	77	79	56	94	70	0
2	Justin Bailey	0			X		100.00	67	46	88	63	89	78	80	62	59	60	61	64	62	69	64	71	97	69	0
3	Daniel Carr	0		X			100.00	62	42	88	65	73	80	77	63	61	64	64	62	65	77	69	56	94	69	0
4	Hudson Fasching	0			X		100.00	69	46	81	60	84	87	89	58	55	57	59	61	58	69	65	57	97	68	0
5	Greg McKegg	0	X				100.00	73	43	87	64	73	72	80	63	77	61	62	66	63	75	68	56	97	68	0
6	Brandon Pirri	0	X	X			100.00	59	43	85	66	73	76	71	64	61	63	65	62	66	77	69	58	97	68	0
7	Matt Read	0			X		100.00	57	43	89	62	68	78	73	61	56	59	60	63	59	84	74	52	98	67	0
8	Reid Boucher	0		X			100.00	58	43	89	65	69	73	75	63	59	62	64	61	65	73	67	52	97	67	0
9	Kristian Vesalainen	0		X			100.00	65	45	90	62	85	75	76	63	56	61	59	64	62	61	63	82	97	67	0
10	Jesper Boqvist (R)	0	X				100.00	65	39	87	66	70	79	73	64	72	61	63	67	66	63	64	76	97	67	0
11	Austin Czarnik	0	X		X		100.00	56	41	88	65	63	77	76	64	62	63	63	59	65	75	68	48	97	66	0
12	Vladislav Kamenev	0	X	X			100.00	61	39	88	63	79	74	68	64	73	62	59	57	65	67	64	72	98	65	0
13	Jansen Harkins	0	X				100.00	59	46	88	63	74	75	73	62	68	61	59	60	63	65	62	72	98	65	0
14	Danick Martel	0		X			100.00	55	43	84	62	66	71	73	60	54	59	58	61	58	71	66	59	97	64	0
15	Connor Brickley	0	X	X	X		100.00	58	53	68	64	75	54	57	64	50	59	58	52	59	53	51	61	98	59	0
16	Alexandre Grenier	0			X		100.00	60	89	61	66	89	50	50	66	50	57	57	50	57	50	50	53	97	59	0
17	Quinton Howden	0	X	X			100.00	54	37	80	68	73	45	45	58	40	50	54	63	55	62	54	63	98	57	0
18	Seth Helgeson	0				X	100.00	75	72	71	55	90	88	92	56	30	54	51	58	45	78	68	55	97	68	0
19	Adam Boqvist (R)	0				X	100.00	63	39	88	70	69	76	72	68	30	66	61	59	52	61	62	89	97	67	0
20	Ryan Lindgren	0				X	100.00	69	48	78	65	73	79	72	63	30	62	56	66	50	63	65	73	97	66	0
21	Frank Corrado	0				X	100.00	63	45	89	58	75	78	77	56	30	54	52	55	45	73	67	58	97	64	0
22	Juuso Valimaki (R)	0				X	100.00	61	35	75	66	83	65	62	66	30	56	53	66	64	51	50	84	97	62	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	62	47	83	64	76	73	73	62	53	60	59	61	59	68	64	64	97	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	J-F Berube	100.00	71	89	87	73	70	69	71	70	69	71	70	77	83	51	97	67	0
2	Philippe Desrosiers	100.00	71	75	73	76	70	69	71	70	69	71	70	69	73	68	97	65	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	71	82	80	75	70	69	71	70	69	71	70	73	78	60	97	66

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dean Evason	71	72	74	73	78	78	58	CAN	56	1	100,000$

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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	PKS	PKM	GW	GT	FO%	FOT	P/20	S1	S3
1	Adam Boqvist	Manitoba Moose (WPG)	D	4	1	1	2	-3	6	2	3	11	1	6	9.09%	3	95	23.90	1	0	1	5	15	0	13	1	0	0.00%	0	0.42	1	0
2	Hudson Fasching	Manitoba Moose (WPG)	RW	4	1	1	2	-2	2	12	1	7	2	7	14.29%	1	74	18.75	0	1	1	2	15	0	12	0	0	0.00%	0	0.53	0	0
3	Justin Bailey	Manitoba Moose (WPG)	RW	4	0	2	2	0	2	4	10	9	3	9	0.00%	0	85	21.40	0	1	1	5	15	0	18	0	0	40.00%	5	0.47	0	0
4	Brandon Pirri	Manitoba Moose (WPG)	C/LW	4	0	2	2	-2	0	2	11	8	4	10	0.00%	0	61	15.35	0	2	2	1	15	0	0	0	0	60.34%	58	0.65	0	0
5	Daniel Carr	Manitoba Moose (WPG)	LW	4	2	0	2	0	2	5	7	15	5	10	13.33%	1	80	20.06	1	0	1	7	15	1	13	0	1	56.52%	23	0.50	0	1
6	Greg McKegg	Manitoba Moose (WPG)	C	4	0	1	1	-2	10	8	6	6	7	9	0.00%	0	51	12.85	0	0	0	2	7	0	0	0	0	53.23%	62	0.39	0	0
7	Byron Froese	Manitoba Moose (WPG)	C	4	0	1	1	-1	0	8	14	11	2	3	0.00%	2	93	23.33	0	1	1	1	15	1	19	0	0	50.70%	142	0.21	0	0
8	Reid Boucher	Manitoba Moose (WPG)	LW	4	1	0	1	-2	0	1	3	11	2	6	9.09%	0	49	12.44	1	0	1	2	8	0	0	0	0	66.67%	3	0.40	0	0
9	Seth Helgeson	Manitoba Moose (WPG)	D	4	0	1	1	-1	6	19	2	8	0	3	0.00%	6	107	26.79	0	0	0	4	15	0	16	0	0	0.00%	0	0.19	0	0
10	Austin Czarnik	Manitoba Moose (WPG)	C/RW	4	0	0	0	-1	0	1	3	4	1	4	0.00%	0	43	10.97	0	0	0	0	0	0	0	0	0	50.00%	4	0.00	0	0
11	Danick Martel	Manitoba Moose (WPG)	LW	4	0	0	0	-3	2	1	3	4	1	5	0.00%	0	28	7.11	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0
12	Alexandre Grenier	Manitoba Moose (WPG)	RW	4	0	0	0	-4	2	2	2	1	1	2	0.00%	0	32	8.18	0	0	0	0	0	0	0	0	0	100.00%	1	0.00	0	0
13	Frank Corrado	Manitoba Moose (WPG)	D	4	0	0	0	-2	0	3	0	3	0	0	0.00%	2	80	20.04	0	0	0	1	7	0	13	0	0	0.00%	0	0.00	0	0
14	Ryan Lindgren	Manitoba Moose (WPG)	D	4	0	0	0	-5	4	9	2	7	0	5	0.00%	3	96	24.18	0	0	0	3	14	0	12	0	0	0.00%	0	0.00	0	0
15	TJ Brennan	WINNIPEG Jets	D	1	0	0	0	-1	2	2	1	3	3	2	0.00%	1	24	24.08	0	0	0	1	6	0	5	0	0	0.00%	0	0.00	0	0
16	Juuso Valimaki	Manitoba Moose (WPG)	D	4	0	0	0	-2	0	2	5	2	0	5	0.00%	5	65	16.50	0	0	0	1	0	0	6	0	0	0.00%	0	0.00	0	0
17	Kristian Vesalainen	Manitoba Moose (WPG)	LW	4	0	0	0	-1	0	2	2	3	4	2	0.00%	1	51	12.94	0	0	0	0	0	0	3	0	0	66.67%	3	0.00	0	0
18	Jesper Boqvist	Manitoba Moose (WPG)	C	4	0	0	0	-3	0	3	5	9	5	4	0.00%	1	40	10.17	0	0	0	0	0	0	0	0	0	42.42%	33	0.00	0	0
Stats d'équipe Total ou en Moyenne				69	5	9	14	-35	38	86	80	122	41	92	4.10%	26	1163	16.87	3	5	8	35	154	2	135	1	1	52.69%	334	0.24	1	1

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du 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	J-F Berube	Manitoba Moose (WPG)	4	1	3	0	0.895	2.76	239	0	0	11	105	0	0	0	0.000	0	4	0	0	0	1
Stats d'équipe Total ou en Moyenne			4	1	3	0	0.895	2.76	239	0	0	11	105	0	0	0	0.000	0	4	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	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	2000-08-15	Yes	81 Kg	180 CM	No	No	No	4	Pro & Farm	750,000$	715,596$	750,000$	715,596$	0$	0$	No	750,000$	750,000$	750,000$
Alexandre Grenier	Manitoba Moose (WPG)	RW	28	1991-09-05	No	91 Kg	196 CM	No	No	No	1	Pro & Farm	750,000$	715,596$	750,000$	715,596$	0$	0$	No					Lien
Austin Czarnik	Manitoba Moose (WPG)	C/RW	27	1992-12-12	No	77 Kg	175 CM	No	No	No	2	Pro & Farm	1,250,000$	1,192,660$	1,250,000$	1,192,660$	0$	0$	No	1,250,000$				Lien
Brandon Pirri	Manitoba Moose (WPG)	C/LW	29	1991-04-10	No	82 Kg	185 CM	No	No	No	1	Pro & Farm	775,000$	739,449$	775,000$	739,449$	0$	0$	No					Lien
Byron Froese	Manitoba Moose (WPG)	C	29	1991-03-12	No	92 Kg	185 CM	No	No	No	1	Pro & Farm	750,000$	715,596$	750,000$	715,596$	0$	0$	No					Lien
Connor Brickley	Manitoba Moose (WPG)	C/LW/RW	28	1992-02-25	No	92 Kg	183 CM	No	No	No	1	Pro & Farm	750,000$	715,596$	750,000$	715,596$	0$	0$	No					Lien
Danick Martel	Manitoba Moose (WPG)	LW	25	1994-12-12	No	84 Kg	175 CM	No	No	No	3	Pro & Farm	750,000$	715,596$	750,000$	715,596$	0$	0$	No	750,000$	750,000$			Lien
Daniel Carr	Manitoba Moose (WPG)	LW	28	1991-11-01	No	88 Kg	183 CM	No	No	No	3	Pro & Farm	750,000$	715,596$	750,000$	715,596$	0$	0$	No	750,000$	750,000$			Lien
Frank Corrado	Manitoba Moose (WPG)	D	27	1993-03-26	No	93 Kg	183 CM	No	No	No	2	Pro & Farm	750,000$	715,596$	750,000$	715,596$	0$	0$	No	750,000$				Lien
Greg McKegg	Manitoba Moose (WPG)	C	28	1992-06-17	No	87 Kg	183 CM	No	No	No	3	Pro & Farm	750,000$	715,596$	750,000$	715,596$	0$	0$	No	750,000$	750,000$			Lien
Hudson Fasching	Manitoba Moose (WPG)	RW	25	1995-07-28	No	93 Kg	191 CM	No	No	No	5	Pro & Farm	750,000$	715,596$	750,000$	715,596$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	Lien
J-F Berube	Manitoba Moose (WPG)	G	29	1991-07-13	No	80 Kg	185 CM	No	No	No	1	Pro & Farm	750,000$	715,596$	750,000$	715,596$	0$	0$	No					Lien
Jansen Harkins	Manitoba Moose (WPG)	C	23	1997-05-23	No	83 Kg	185 CM	No	No	No	2	Pro & Farm	750,000$	715,596$	750,000$	715,596$	0$	0$	No	750,000$				Lien
Jesper Boqvist	Manitoba Moose (WPG)	C	21	1998-10-30	Yes	82 Kg	183 CM	No	No	No	4	Pro & Farm	750,000$	715,596$	750,000$	715,596$	0$	0$	No	750,000$	750,000$	750,000$
Justin Bailey	Manitoba Moose (WPG)	RW	25	1995-07-01	No	97 Kg	193 CM	No	No	No	2	Pro & Farm	750,000$	715,596$	750,000$	715,596$	0$	0$	No	750,000$				Lien
Juuso Valimaki	Manitoba Moose (WPG)	D	21	1998-10-06	Yes	96 Kg	188 CM	No	No	No	1	Pro & Farm	750,000$	715,596$	750,000$	715,596$	0$	0$	No					Lien
Kristian Vesalainen	Manitoba Moose (WPG)	LW	21	1999-06-01	No	94 Kg	191 CM	No	No	No	1	Pro & Farm	750,000$	715,596$	750,000$	715,596$	0$	0$	No					Lien
Matt Read	Manitoba Moose (WPG)	RW	34	1986-06-14	No	85 Kg	178 CM	No	No	No	3	Pro & Farm	750,000$	715,596$	750,000$	715,596$	0$	0$	No	750,000$	750,000$			Lien
Philippe Desrosiers	Manitoba Moose (WPG)	G	25	1995-08-16	No	89 Kg	185 CM	No	No	No	2	Pro & Farm	750,000$	715,596$	750,000$	715,596$	0$	0$	No	750,000$				Lien
Quinton Howden	Manitoba Moose (WPG)	C/LW	28	1992-01-21	No	86 Kg	188 CM	No	No	No	4	Pro & Farm	750,000$	715,596$	750,000$	715,596$	0$	0$	No	750,000$	750,000$	750,000$
Reid Boucher	Manitoba Moose (WPG)	LW	26	1993-09-08	No	89 Kg	178 CM	No	No	No	3	Pro & Farm	750,000$	715,596$	750,000$	715,596$	0$	0$	No	750,000$	750,000$			Lien
Ryan Lindgren	Manitoba Moose (WPG)	D	22	1998-02-11	No	87 Kg	183 CM	No	No	No	1	Pro & Farm	750,000$	715,596$	750,000$	715,596$	0$	0$	No					Lien
Seth Helgeson	Manitoba Moose (WPG)	D	29	1990-10-08	No	100 Kg	193 CM	No	No	No	2	Pro & Farm	750,000$	715,596$	750,000$	715,596$	0$	0$	No	750,000$				Lien
Vladislav Kamenev	Manitoba Moose (WPG)	C/LW	24	1996-08-12	No	88 Kg	188 CM	No	No	No	5	Pro & Farm	750,000$	715,596$	750,000$	715,596$	0$	0$	No	750,000$	750,000$	750,000$	750,000$	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
24	25.92	88 Kg	185 CM	2.38	771,875$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Daniel Carr	Byron Froese	Justin Bailey	31	1	2	2
2	Reid Boucher	Brandon Pirri	Hudson Fasching	26	1	2	2
3	Kristian Vesalainen	Greg McKegg	Austin Czarnik	23	1	2	2
4	Danick Martel	Jesper Boqvist	Alexandre Grenier	20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Seth Helgeson	Adam Boqvist	31	1	2	2
2	Ryan Lindgren	Frank Corrado	26	1	2	2
3	Juuso Valimaki	Seth Helgeson	23	1	2	2
4	Adam Boqvist	Ryan Lindgren	20	1	2	2

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

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Seth Helgeson	Adam Boqvist	55	1	2	2
2	Ryan Lindgren	Frank Corrado	45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Byron Froese	Justin Bailey	55	1	2	2
2	Daniel Carr	Hudson Fasching	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Seth Helgeson	Adam Boqvist	55	1	2	2
2	Ryan Lindgren	Frank Corrado	45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Byron Froese	55	1	2	2	Seth Helgeson	Adam Boqvist	55	1	2	2
2	Justin Bailey	45	1	2	2	Ryan Lindgren	Frank Corrado	45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Byron Froese	Justin Bailey	55	1	2	2
2	Daniel Carr	Hudson Fasching	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Seth Helgeson	Adam Boqvist	55	1	2	2
2	Ryan Lindgren	Frank Corrado	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Daniel Carr	Byron Froese	Justin Bailey	Seth Helgeson	Adam Boqvist

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Daniel Carr	Byron Froese	Justin Bailey	Seth Helgeson	Adam Boqvist

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Greg McKegg, Jesper Boqvist, Kristian Vesalainen	Greg McKegg, Jesper Boqvist	Kristian Vesalainen

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Juuso Valimaki, Frank Corrado, Seth Helgeson	Juuso Valimaki	Frank Corrado, Seth Helgeson

Tirs de Pénalité
Byron Froese, Justin Bailey, Daniel Carr, Hudson Fasching, Brandon Pirri

Gardien
#1 : J-F Berube, #2 : Philippe Desrosiers

Lignes d'Attaque Perso. en Prol.
Byron Froese, Justin Bailey, Daniel Carr, Hudson Fasching, Brandon Pirri, Greg McKegg, Greg McKegg, Jesper Boqvist, Reid Boucher, Kristian Vesalainen, Austin Czarnik

Lignes de Défense Perso. en Prol.
Seth Helgeson, Adam Boqvist, Ryan Lindgren, Frank Corrado, Juuso Valimaki

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	Binghampton Devils	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	2	4	6	0	0	3	2	0	0	37	39	45	38	0	34	8	14	26	9	1	11.11%	6	1	83.33%	0	86	154	55.84%	56	118	47.46%	34	62	54.84%	104	71	85	29	50	25
2	HERSEY Bears	1	0	1	0	0	0	0	0	0	3	-3	1	0	1	0	0	0	0	0	0	3	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	3	2	0	0	30	39	45	38	0	23	5	8	20	4	0	0.00%	4	0	100.00%	0	86	154	55.84%	56	118	47.46%	34	62	54.84%	104	71	85	29	50	25
3	STOCKTON Flames	1	0	1	0	0	0	0	0	0	1	-1	1	0	1	0	0	0	0	0	0	1	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	3	2	0	0	25	39	45	38	0	24	8	10	14	2	0	0.00%	5	0	100.00%	0	86	154	55.84%	56	118	47.46%	34	62	54.84%	104	71	85	29	50	25
4	Syracruse Crunch	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	5	8	0	0	3	2	0	0	30	39	45	38	0	24	5	6	26	5	2	40.00%	3	1	66.67%	0	86	154	55.84%	56	118	47.46%	34	62	54.84%	104	71	85	29	50	25
	Total	4	1	3	0	0	0	0	0	5	11	-6	2	0	2	0	0	0	0	0	0	4	-4	2	1	1	0	0	0	0	0	5	7	-2	2	0.250	5	9	14	0	0	3	2	0	0	122	39	45	38	0	105	26	38	86	20	3	15.00%	18	2	88.89%	0	86	154	55.84%	56	118	47.46%	34	62	54.84%	104	71	85	29	50	25
	_Since Last GM Reset	4	1	3	0	0	0	0	0	5	11	-6	2	0	2	0	0	0	0	0	0	4	-4	2	1	1	0	0	0	0	0	5	7	-2	2	0.250	5	9	14	0	0	3	2	0	0	122	39	45	38	0	105	26	38	86	20	3	15.00%	18	2	88.89%	0	86	154	55.84%	56	118	47.46%	34	62	54.84%	104	71	85	29	50	25
	_Vs Conference	3	1	2	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	0	1	-1	2	1	1	0	0	0	0	0	5	7	-2	2	0.333	5	9	14	0	0	3	2	0	0	92	39	45	38	0	82	21	30	66	16	3	18.75%	14	2	85.71%	0	86	154	55.84%	56	118	47.46%	34	62	54.84%	104	71	85	29	50	25
	_Vs Division	2	0	1	0	0	0	0	0	2	8	-6	1	0	0	0	0	0	0	0	0	3	-3	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	2	4	6	0	0	3	2	0	0	67	39	45	38	0	57	13	22	46	13	1	7.69%	10	1	90.00%	0	86	154	55.84%	56	118	47.46%	34	62	54.84%	104	71	85	29	50	25

			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
4	2	L1	5	9	14	122	105	26	38	86	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	3	0	0	0	0	5	11

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	0	4

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	5	7

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	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
20	3	15.00%	18	2	88.89%	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
39	45	38	0	3	2	0	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
86	154	55.84%	56	118	47.46%	34	62	54.84%

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
104	71	85	29	50	25

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	Lien
1 - 2020-08-02	7	Manitoba Moose	2	Binghampton Devils	5	L	Sommaire du Match
2 - 2020-08-03	21	STOCKTON Flames	1	Manitoba Moose	0	L	Sommaire du Match
4 - 2020-08-05	30	Manitoba Moose	3	Syracruse Crunch	2	W	Sommaire du Match
5 - 2020-08-06	45	HERSEY Bears	3	Manitoba Moose	0	L	Sommaire du Match
6 - 2020-08-07	58	HERSEY Bears	-	Manitoba Moose	-
7 - 2020-08-08	70	Manitoba Moose	-	Syracruse Crunch	-
9 - 2020-08-10	88	MONT-LAURIER Sommet	-	Manitoba Moose	-
10 - 2020-08-11	96	Manitoba Moose	-	COLORADO Eagles	-
11 - 2020-08-12	106	Manitoba Moose	-	BELLEVILLE Senators	-
12 - 2020-08-13	114	Manitoba Moose	-	BROOKLYN Wolfpack	-
13 - 2020-08-14	127	HOLLYWOOD Oscar	-	Manitoba Moose	-
15 - 2020-08-16	144	Manitoba Moose	-	ROCKFORD IceHogs	-
16 - 2020-08-17	152	CHICAGO Wolves	-	Manitoba Moose	-
18 - 2020-08-19	171	Manitoba Moose	-	BRIDGEPORT Sound Tigers	-
19 - 2020-08-20	180	Marlies de Toronto	-	Manitoba Moose	-
20 - 2020-08-21	196	LEHIGH VALLEY Phantoms	-	Manitoba Moose	-
22 - 2020-08-23	210	Manitoba Moose	-	MILWAUKEE Admirals	-
23 - 2020-08-24	220	Manitoba Moose	-	STOCKTON Flames	-
24 - 2020-08-25	230	BRIDGEPORT Sound Tigers	-	Manitoba Moose	-
25 - 2020-08-26	251	CHICAGO Wolves	-	Manitoba Moose	-
26 - 2020-08-27	260	Manitoba Moose	-	CHICAGO Wolves	-
27 - 2020-08-28	275	Manitoba Moose	-	IOWA Wild	-
29 - 2020-08-30	284	Binghampton Devils	-	Manitoba Moose	-
31 - 2020-09-01	302	ROCKFORD IceHogs	-	Manitoba Moose	-
32 - 2020-09-02	310	Manitoba Moose	-	MONT-LAURIER Sommet	-
33 - 2020-09-03	318	Manitoba Moose	-	Binghampton Devils	-
34 - 2020-09-04	332	Marlies de Toronto	-	Manitoba Moose	-
36 - 2020-09-06	353	STOCKTON Flames	-	Manitoba Moose	-
37 - 2020-09-07	366	Manitoba Moose	-	LAVAL Rockets	-
39 - 2020-09-09	378	Manitoba Moose	-	LEHIGH VALLEY Phantoms	-
40 - 2020-09-10	386	Manitoba Moose	-	HERSEY Bears	-
41 - 2020-09-11	397	COLORADO Eagles	-	Manitoba Moose	-
42 - 2020-09-12	413	LAVAL Rockets	-	Manitoba Moose	-
44 - 2020-09-14	428	PV Sharapovas	-	Manitoba Moose	-
45 - 2020-09-15	439	Manitoba Moose	-	VICTORIAVILLE Tigres	-
46 - 2020-09-16	448	Manitoba Moose	-	TUSCON Roadrunners	-
48 - 2020-09-18	460	Manitoba Moose	-	HOLLYWOOD Oscar	-
49 - 2020-09-19	473	BROOKLYN Wolfpack	-	Manitoba Moose	-
50 - 2020-09-20	487	Manitoba Moose	-	IOWA Wild	-
51 - 2020-09-21	493	LEHIGH VALLEY Phantoms	-	Manitoba Moose	-
53 - 2020-09-23	514	BELLEVILLE Senators	-	Manitoba Moose	-
55 - 2020-09-25	531	Manitoba Moose	-	COLORADO Eagles	-
56 - 2020-09-26	536	HOLLYWOOD Oscar	-	Manitoba Moose	-
57 - 2020-09-27	550	Manitoba Moose	-	Binghampton Devils	-
58 - 2020-09-28	567	Manitoba Moose	-	ROCKFORD IceHogs	-
59 - 2020-09-29	573	LAVAL Rockets	-	Manitoba Moose	-
60 - 2020-09-30	590	IOWA Wild	-	Manitoba Moose	-
61 - 2020-10-01	604	Manitoba Moose	-	BELLEVILLE Senators	-
63 - 2020-10-03	616	Marlies de Toronto	-	Manitoba Moose	-
64 - 2020-10-04	627	Manitoba Moose	-	PROVIDENCE Bruins	-
65 - 2020-10-05	640	Quebec Nordiques	-	Manitoba Moose	-
67 - 2020-10-07	662	Manitoba Moose	-	SAN DIEGO Gulls	-
68 - 2020-10-08	672	PROVIDENCE Bruins	-	Manitoba Moose	-
69 - 2020-10-09	682	Manitoba Moose	-	SAN DIEGO Gulls	-
70 - 2020-10-10	695	PROVIDENCE Bruins	-	Manitoba Moose	-
72 - 2020-10-12	711	Manitoba Moose	-	UTICA Comets	-
73 - 2020-10-13	722	Syracruse Crunch	-	Manitoba Moose	-
75 - 2020-10-15	738	Manitoba Moose	-	Marlies de Toronto	-
76 - 2020-10-16	747	Manitoba Moose	-	Syracruse Crunch	-
77 - 2020-10-17	754	TUSCON Roadrunners	-	Manitoba Moose	-
79 - 2020-10-19	775	MILWAUKEE Admirals	-	Manitoba Moose	-
80 - 2020-10-20	793	HOLLYWOOD Oscar	-	Manitoba Moose	-
82 - 2020-10-22	805	Manitoba Moose	-	BROOKLYN Wolfpack	-
83 - 2020-10-23	818	Quebec Nordiques	-	Manitoba Moose	-
84 - 2020-10-24	827	Manitoba Moose	-	PV Sharapovas	-
85 - 2020-10-25	837	Manitoba Moose	-	WILKIES-BARRIE Penguins	-
86 - 2020-10-26	852	WILKIES-BARRIE Penguins	-	Manitoba Moose	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-10-28	864	Manitoba Moose	-	WILKIES-BARRIE Penguins	-
89 - 2020-10-29	878	UTICA Comets	-	Manitoba Moose	-
90 - 2020-10-30	887	Manitoba Moose	-	Quebec Nordiques	-
91 - 2020-10-31	905	VICTORIAVILLE Tigres	-	Manitoba Moose	-
94 - 2020-11-03	927	MONT-LAURIER Sommet	-	Manitoba Moose	-
95 - 2020-11-04	944	HERSEY Bears	-	Manitoba Moose	-
96 - 2020-11-05	953	Manitoba Moose	-	BRIDGEPORT Sound Tigers	-
98 - 2020-11-07	974	Manitoba Moose	-	TUSCON Roadrunners	-
99 - 2020-11-08	978	Manitoba Moose	-	VICTORIAVILLE Tigres	-
100 - 2020-11-09	984	MILWAUKEE Admirals	-	Manitoba Moose	-
103 - 2020-11-12	1008	SAN DIEGO Gulls	-	Manitoba Moose	-
105 - 2020-11-14	1022	UTICA Comets	-	Manitoba Moose	-
108 - 2020-11-17	1039	Manitoba Moose	-	PV Sharapovas	-

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
86,581$	1,852,500$	1,852,500$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	85,663$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	104	16,995$	1,767,480$

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
33	82	39	28	0	5	4	3	3	391	213	178	41	18	13	0	5	3	1	1	187	102	85	41	21	15	0	0	1	2	2	204	111	93	78	391	644	1035	1	15	209	96	78	10	3958	1296	1328	1304	53	2586	749	526	1548	214	31	14.49%	235	41	82.55%	4	1324	2553	51.86%	890	2583	34.46%	595	1280	46.48%	2297	1809	1816	462	857	448
34	4	1	3	0	0	0	0	0	5	11	-6	2	0	2	0	0	0	0	0	0	4	-4	2	1	1	0	0	0	0	0	5	7	-2	2	5	9	14	0	0	3	2	0	0	122	39	45	38	0	105	26	38	86	20	3	15.00%	18	2	88.89%	0	86	154	55.84%	56	118	47.46%	34	62	54.84%	104	71	85	29	50	25
Total Saison Régulière	86	40	31	0	5	4	3	3	396	224	172	43	18	15	0	5	3	1	1	187	106	81	43	22	16	0	0	1	2	2	209	118	91	80	396	653	1049	1	15	212	98	78	10	4080	1335	1373	1342	53	2691	775	564	1634	234	34	14.53%	253	43	83.00%	4	1410	2707	52.09%	946	2701	35.02%	629	1342	46.87%	2401	1880	1902	491	908	473
Séries
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	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