LAAHS - Manitoba Moose

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Stats d'équipe en Carrière

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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	Denis Gurianov		X	X		100.00	76	44	99	75	76	70	92	78	44	66	74	72	25	55	55	60	80	68	0
2	Tom Pyatt	X	X	X		100.00	63	41	98	65	67	62	93	57	53	55	55	88	63	68	70	64	58	63	0
3	Matt Hendricks	X	X	X		100.00	80	99	79	74	77	53	62	61	64	61	55	75	81	74	76	63	84	63	0
4	Gerald Mayhew	X	X	X		100.00	67	62	79	60	62	82	87	66	80	63	65	63	62	50	50	66	87	62	0
5	Matt Beleskey		X			100.00	75	76	71	72	76	67	71	57	50	57	47	69	45	68	70	59	86	60	0
6	Jan Kovar (R)	X				100.00	76	76	77	63	76	57	55	65	80	64	63	65	60	44	44	65	87	60	0
7	Chris Thorburn	X	X	X		100.00	81	86	69	69	86	60	63	52	50	46	46	74	44	81	82	56	73	59	0
8	Matt Lorito		X	X		100.00	67	61	82	66	61	59	59	62	50	60	61	60	58	44	44	62	87	58	0
9	Colin Greening		X			100.00	83	78	95	65	78	77	84	50	63	47	46	67	44	53	53	58	59	58	0
10	Sean Malone	X				100.00	78	70	96	66	70	67	71	53	66	53	48	63	46	44	44	58	79	57	0
11	Luke Gazdic		X			100.00	74	84	49	62	84	58	60	55	50	49	54	66	51	60	60	57	84	57	0
12	Shane Gersich (R)	X	X			100.00	68	64	76	77	64	66	70	52	65	52	48	58	46	44	44	56	64	56	0
13	Matt Grzelcyk				X	100.00	69	62	72	83	62	78	88	71	25	57	48	70	25	52	53	63	99	66	0
14	Victor Mete				X	100.00	61	41	97	81	65	75	81	60	25	53	48	77	25	57	57	62	79	65	0
15	Brian Lashoff				X	100.00	83	82	85	68	82	73	80	50	25	43	39	70	37	63	64	55	86	64	0
16	Andreas Borgman				X	100.00	71	70	72	77	70	70	75	52	25	45	42	62	40	55	55	55	87	60	0
17	David Warsofsky				X	100.00	65	61	74	73	61	69	73	57	25	55	42	61	40	57	58	56	84	60	0
18	Matt Bartkowski				X	100.00	74	72	79	69	72	59	62	50	25	39	41	66	39	64	65	54	85	59	0
19	Guillaume Brisebois				X	100.00	73	67	86	63	67	73	80	47	25	37	41	61	39	51	51	53	87	58	0
20	Urho Vaakanainen (R)				X	100.00	75	69	90	73	69	57	58	55	25	48	48	62	46	44	44	57	79	58	0
Rayé
1	Pierre Engvall (R)		X	X		100.00	75	74	76	58	74	68	71	58	50	56	69	64	59	44	44	62	59	59	0
2	Zach Magwood (R)	X				100.00	75	68	91	62	68	67	72	50	63	48	47	61	45	44	44	55	19	54	0
3	Chase Pearson (R)	X				100.00	78	72	91	66	72	47	48	47	59	38	51	62	48	44	44	54	19	52	0
4	Thomas Schemitsch				X	100.00	79	77	83	61	77	72	78	52	25	40	49	64	47	44	44	58	20	59	0
5	Jake Walman				X	100.00	69	65	79	71	65	71	78	47	25	37	41	58	39	48	48	52	20	57	0

	MOYENNE D'ÉQUIPE					100.00	73	69	82	69	71	66	72	56	45	51	51	66	46	54	55	58	70	60

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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	Atte Tolvanen (R)	100.00	64	50	63	69	69	73	65	71	76	74	30	44	44	67	87	65	0
2	Evan Cormier (R)	100.00	55	68	85	81	52	59	50	58	54	53	30	44	44	56	84	58	0
Rayé
1	Christopher Gibson	100.00	55	72	90	72	50	57	51	59	51	51	30	45	45	55	19	56	0

	MOYENNE D'ÉQUIPE	100.00	58	63	79	74	57	63	55	63	60	59	30	44	44	59	63	60

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Scott Arniel	59	57	70	53	49	44	55	CAN	53	1	60,000$

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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	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	FW	FL	FT	S1	S2	S3
1	Denis Gurianov	Manitoba Moose (VAN)	LW/RW	13	9	9	18	1	0	0	21	15	85	17	45	10.59%	12	282	21.73	1	1	2	5	19	1	0	1	1	0	3	0	39.13%	23	16	4	0	1.27	0	0	0	2	1	1
2	Matt Grzelcyk	Manitoba Moose (VAN)	D	13	0	13	13	4	16	0	12	21	53	18	13	0.00%	31	317	24.42	0	0	0	0	0	0	0	0	2	18	0	0	0.00%	0	6	15	0	0.82	0	0	0	0	0	1
3	Jan Kovar	Manitoba Moose (VAN)	C	13	6	5	11	6	6	0	12	13	51	16	26	11.76%	4	173	13.38	1	2	3	3	21	0	0	0	0	0	0	0	56.36%	110	7	3	1	1.26	0	0	0	1	0	0
4	Victor Mete	Manitoba Moose (VAN)	D	13	1	9	10	4	0	0	5	22	35	21	12	2.86%	29	324	24.98	0	0	0	0	0	0	0	0	1	25	0	0	0.00%	0	4	22	0	0.62	0	0	0	1	1	0
5	Matt Lorito	Manitoba Moose (VAN)	LW/RW	13	4	6	10	6	4	0	9	13	38	15	23	10.53%	4	175	13.46	1	2	3	4	21	0	0	0	0	0	0	0	60.00%	5	13	2	0	1.14	0	0	0	0	0	1
6	Gerald Mayhew	Manitoba Moose (VAN)	C/LW/RW	13	4	6	10	0	8	0	19	38	34	9	21	11.76%	3	278	21.42	0	1	1	0	19	0	0	0	0	0	0	0	52.13%	399	3	7	0	0.72	0	0	0	0	1	0
7	Shane Gersich	Manitoba Moose (VAN)	C/LW	13	2	7	9	1	7	5	14	20	16	3	7	12.50%	8	171	13.23	0	0	0	0	4	0	0	0	0	1	0	1	39.45%	109	3	3	0	1.05	0	1	0	0	1	0
8	Chris Thorburn	Manitoba Moose (VAN)	C/LW/RW	13	3	5	8	2	7	5	14	12	32	10	20	9.38%	7	184	14.22	0	0	0	1	1	0	0	0	0	19	0	0	45.95%	37	6	5	0	0.87	0	1	0	0	1	0
9	Tom Pyatt	Manitoba Moose (VAN)	C/LW/RW	13	5	3	8	-1	0	0	7	14	19	10	18	26.32%	11	175	13.48	0	0	0	0	0	0	0	0	0	19	0	0	31.25%	16	11	3	0	0.91	0	0	0	1	0	0
10	Matt Beleskey	Manitoba Moose (VAN)	LW	13	3	5	8	-1	9	5	19	19	36	8	23	8.33%	4	175	13.49	0	0	0	0	2	0	0	0	0	18	0	0	75.00%	4	6	6	0	0.91	0	0	1	0	0	0
11	Matt Hendricks	Manitoba Moose (VAN)	C/LW/RW	13	3	5	8	1	27	15	16	16	42	12	27	7.14%	8	266	20.54	1	1	2	3	18	0	0	0	0	0	1	0	31.82%	22	10	5	0	0.60	0	2	1	0	0	1
12	Sean Malone	Manitoba Moose (VAN)	C	13	3	5	8	3	0	0	9	13	22	9	13	13.64%	6	158	12.19	0	0	0	0	0	0	0	0	0	0	1	0	43.14%	102	7	4	0	1.01	0	0	0	1	0	0
13	Luke Gazdic	Manitoba Moose (VAN)	LW	13	6	2	8	3	5	5	13	14	36	6	24	16.67%	7	177	13.68	0	0	0	0	0	0	0	0	2	19	1	0	40.00%	5	4	1	0	0.90	1	0	0	0	0	1
14	Colin Greening	Manitoba Moose (VAN)	LW	12	3	4	7	5	17	5	16	16	15	6	6	20.00%	4	156	13.04	1	1	2	2	18	0	0	0	0	0	0	0	66.67%	3	2	3	0	0.89	0	1	0	0	1	1
15	Andreas Borgman	Manitoba Moose (VAN)	D	13	0	3	3	1	0	0	6	7	5	8	3	0.00%	11	167	12.91	0	0	0	1	21	0	0	0	0	0	0	0	0.00%	0	0	3	0	0.36	0	0	0	0	0	0
16	Brian Lashoff	Manitoba Moose (VAN)	D	13	0	2	2	2	10	10	6	15	2	1	2	0.00%	8	156	12.04	0	0	0	0	0	0	1	1	0	13	0	0	0.00%	0	1	4	0	0.26	1	1	0	0	0	0
17	Urho Vaakanainen	Manitoba Moose (VAN)	D	13	0	1	1	2	0	0	6	10	6	1	6	0.00%	5	164	12.69	0	0	0	1	21	0	0	0	0	2	0	0	0.00%	0	0	6	0	0.12	0	0	0	0	0	0
18	David Warsofsky	Manitoba Moose (VAN)	D	13	0	1	1	2	2	0	5	6	7	1	6	0.00%	9	167	12.89	0	0	0	2	21	0	0	0	0	4	0	0	0.00%	0	0	5	0	0.12	0	0	0	0	0	0
19	Matt Bartkowski	Manitoba Moose (VAN)	D	13	0	1	1	2	10	10	4	8	5	2	2	0.00%	5	155	11.96	0	0	0	0	0	0	0	0	0	13	0	0	0.00%	0	1	2	0	0.13	1	0	1	0	0	0
20	Guillaume Brisebois	Manitoba Moose (VAN)	D	13	0	0	0	1	7	5	8	6	4	4	2	0.00%	8	159	12.28	0	0	0	1	21	0	0	0	0	0	0	0	0.00%	0	1	5	0	0.00	1	0	0	0	0	0
21	Pierre Engvall	Manitoba Moose (VAN)	LW/RW	1	0	0	0	0	0	0	0	1	0	0	0	0.00%	1	2	2.77	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	0	0	0.00	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				260	52	92	144	44	135	65	221	299	543	177	299	9.58%	185	3994	15.36	5	8	13	23	213	1	1	2	6	157	6	1	48.50%	835	102	108	1	0.72	4	6	3	6	6	6

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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	GA	SA	SAR	ST	BG
1	Atte Tolvanen	Manitoba Moose (VAN)	11	6	5	0	0.895	3.70	681	42	401	201	11	2
2	Evan Cormier	Manitoba Moose (VAN)	2	0	1	1	0.871	4.36	124	9	70	35	2	11
Stats d'équipe Total ou en Moyenne			13	6	6	1	0.892	3.80	806	51	471	236	13	13

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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	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
Andreas Borgman	Manitoba Moose (VAN)	D	23	1995-06-18	No	191 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,775,000$	0$	0$	No	700,000$		Lien
Atte Tolvanen	Manitoba Moose (VAN)	G	23	1994-11-23	Yes	187 Lbs	6 ft0	No	No	No	1	Pro & Farm	575,000$	0$	0$	No			Lien
Brian Lashoff	Manitoba Moose (VAN)	D	27	1990-07-15	No	221 Lbs	6 ft3	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$		Lien
Chase Pearson	Manitoba Moose (VAN)	C	20	1997-08-23	Yes	190 Lbs	6 ft2	No	No	No	3	Pro & Farm	858,750$	0$	0$	No	858,750$	858,750$	Lien
Chris Thorburn	Manitoba Moose (VAN)	C/LW/RW	35	1983-06-03	No	235 Lbs	6 ft3	Yes	No	Yes	1	Pro & Farm	900,000$	0$	0$	No			Lien
Christopher Gibson	Manitoba Moose (VAN)	G	25	1992-12-27	No	188 Lbs	6 ft1	No	No	No	1	Pro & Farm	675,000$	0$	0$	No			Lien
Colin Greening	Manitoba Moose (VAN)	LW	32	1986-03-09	No	210 Lbs	6 ft2	Yes	No	No	1	Pro & Farm	900,000$	0$	0$	No			Lien
David Warsofsky	Manitoba Moose (VAN)	D	28	1990-05-30	No	170 Lbs	5 ft9	Yes	No	No	1	Pro & Farm	900,000$	0$	0$	No			Lien
Denis Gurianov	Manitoba Moose (VAN)	LW/RW	21	1997-06-07	No	200 Lbs	6 ft3	No	No	No	1	Pro & Farm	894,166$	0$	0$	No			Lien
Evan Cormier	Manitoba Moose (VAN)	G	20	1997-11-05	Yes	202 Lbs	6 ft3	No	No	No	3	Pro & Farm	718,333$	0$	0$	No	718,333$	718,333$	Lien
Gerald Mayhew	Manitoba Moose (VAN)	C/LW/RW	25	1992-12-31	No	170 Lbs	5 ft10	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$		Lien
Guillaume Brisebois	Manitoba Moose (VAN)	D	20	1997-07-21	No	175 Lbs	6 ft2	No	No	No	2	Pro & Farm	863,000$	0$	0$	No	863,000$		Lien
Jake Walman	Manitoba Moose (VAN)	D	22	1996-02-19	No	170 Lbs	6 ft1	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien
Jan Kovar	Manitoba Moose (VAN)	C	28	1990-03-20	Yes	216 Lbs	5 ft11	Yes	No	No	1	Pro & Farm	900,000$	0$	0$	No			Lien
Luke Gazdic	Manitoba Moose (VAN)	LW	28	1989-07-24	No	225 Lbs	6 ft4	Yes	No	No	1	Pro & Farm	900,000$	0$	0$	No			Lien
Matt Bartkowski	Manitoba Moose (VAN)	D	30	1988-06-04	No	196 Lbs	6 ft1	Yes	No	No	1	Pro & Farm	900,000$	0$	0$	No			Lien
Matt Beleskey	Manitoba Moose (VAN)	LW	30	1988-06-07	No	203 Lbs	6 ft0	No	No	No	1	Pro & Farm	3,800,000$	0$	0$	No			Lien
Matt Grzelcyk	Manitoba Moose (VAN)	D	24	1994-01-05	No	174 Lbs	5 ft9	No	No	No	1	Pro & Farm	1,400,000$	0$	0$	No			Lien
Matt Hendricks	Manitoba Moose (VAN)	C/LW/RW	37	1981-06-16	No	209 Lbs	6 ft0	Yes	No	No	1	Pro & Farm	900,000$	0$	0$	No			Lien
Matt Lorito	Manitoba Moose (VAN)	LW/RW	27	1990-07-03	No	170 Lbs	5 ft9	No	No	No	1	Pro & Farm	675,000$	0$	0$	No			Lien
Pierre Engvall	Manitoba Moose (VAN)	LW/RW	22	1996-05-31	Yes	192 Lbs	6 ft4	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien
Sean Malone	Manitoba Moose (VAN)	C	23	1995-04-30	No	190 Lbs	6 ft0	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Shane Gersich	Manitoba Moose (VAN)	C/LW	21	1996-07-09	Yes	175 Lbs	5 ft11	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien
Thomas Schemitsch	Manitoba Moose (VAN)	D	21	1996-10-25	No	200 Lbs	6 ft4	No	No	No	0	Pro & Farm		0$	0$	No			Lien
Tom Pyatt	Manitoba Moose (VAN)	C/LW/RW	31	1987-02-14	No	185 Lbs	5 ft11	Yes	No	No	1	Pro & Farm	1,210,000$	0$	0$	No			Lien
Urho Vaakanainen	Manitoba Moose (VAN)	D	19	1999-01-01	Yes	187 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Lien
Victor Mete	Manitoba Moose (VAN)	D	20	1998-06-07	No	184 Lbs	5 ft10	No	No	No	1	Pro & Farm	748,333$	0$	0$	No			Lien
Zach Magwood	Manitoba Moose (VAN)	C	20	1998-04-22	Yes	190 Lbs	5 ft10	No	No	No	3	Pro & Farm	753,333$	0$	0$	No	753,333$	753,333$	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
28	25.07	193 Lbs	6 ft1	1.46	965,926$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Denis Gurianov	Gerald Mayhew	Matt Hendricks	46	1	2	2
2	Colin Greening	Jan Kovar	Matt Lorito	18	1	2	2
3	Matt Beleskey	Shane Gersich	Tom Pyatt	18	1	2	2
4	Luke Gazdic	Sean Malone	Chris Thorburn	18	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Matt Grzelcyk	Victor Mete	49	0	0	5
2	Guillaume Brisebois	Andreas Borgman	17	1	2	2
3	Urho Vaakanainen	David Warsofsky	17	1	2	2
4	Brian Lashoff	Matt Bartkowski	17	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Denis Gurianov	Gerald Mayhew	Matt Hendricks	50	1	2	2
2	Colin Greening	Jan Kovar	Matt Lorito	50	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Urho Vaakanainen	David Warsofsky	50	1	2	2
2	Guillaume Brisebois	Andreas Borgman	50	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Chris Thorburn	Luke Gazdic	50	1	2	2
2	Tom Pyatt	Matt Beleskey	50	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Matt Grzelcyk	Victor Mete	70	1	2	2
2	Brian Lashoff	Matt Bartkowski	30	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Shane Gersich	50	1	2	2	Matt Grzelcyk	Victor Mete	70	1	2	2
2	Sean Malone	50	1	2	2	Brian Lashoff	Matt Bartkowski	30	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Gerald Mayhew	Tom Pyatt	50	1	2	2
2	Sean Malone	Chris Thorburn	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Andreas Borgman	Matt Grzelcyk	50	1	2	2
2	Guillaume Brisebois	Victor Mete	50	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Shane Gersich	Gerald Mayhew	Denis Gurianov	Victor Mete	Matt Grzelcyk

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Tom Pyatt	Chris Thorburn	Denis Gurianov	Victor Mete	Matt Grzelcyk

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Shane Gersich, Denis Gurianov, Gerald Mayhew	Shane Gersich, Matt Beleskey	Shane Gersich

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Andreas Borgman, Brian Lashoff, Matt Bartkowski	Matt Grzelcyk	David Warsofsky, Urho Vaakanainen

Tirs de Pénalité
Denis Gurianov, Shane Gersich, Gerald Mayhew, Matt Beleskey, Matt Lorito

Gardien
#1 : Atte Tolvanen, #2 : Evan Cormier

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	Philadelphia Phantoms	6	2	4	0	0	0	0	0	23	28	-5	3	1	2	0	0	0	0	0	11	17	-6	3	1	2	0	0	0	0	0	12	11	1	4	0.333	23	38	61	0	0	12	19	20	1	258	156	190	185	12	252	94	51	90	5	1	20.00%	18	5	72.22%	1	153	320	47.81%	148	293	50.51%	104	222	46.85%	280	164	280	125	245	117
2	Seattle Thunderbirds	7	4	3	0	0	0	0	0	29	23	6	3	1	2	0	0	0	0	0	12	12	0	4	3	1	0	0	0	0	0	17	11	6	8	0.571	29	54	83	0	0	12	19	20	1	285	156	190	185	12	219	91	84	131	20	4	20.00%	12	8	33.33%	0	153	320	47.81%	148	293	50.51%	104	222	46.85%	280	164	280	125	245	117
	Total	13	6	7	0	0	0	0	0	52	51	1	6	2	4	0	0	0	0	0	23	29	-6	7	4	3	0	0	0	0	0	29	22	7	12	0.462	52	92	144	0	0	12	19	20	1	543	156	190	185	12	471	185	135	221	25	5	20.00%	30	13	56.67%	1	153	320	47.81%	148	293	50.51%	104	222	46.85%	280	164	280	125	245	117
	_Since Last GM Reset	13	6	7	0	0	0	0	0	52	51	1	6	2	4	0	0	0	0	0	23	29	-6	7	4	3	0	0	0	0	0	29	22	7	12	0.462	52	92	144	0	0	12	19	20	1	543	156	190	185	12	471	185	135	221	25	5	20.00%	30	13	56.67%	1	153	320	47.81%	148	293	50.51%	104	222	46.85%	280	164	280	125	245	117
	_Vs Conference	13	6	7	0	0	0	0	0	52	51	1	6	2	4	0	0	0	0	0	23	29	-6	7	4	3	0	0	0	0	0	29	22	7	12	0.462	52	92	144	0	0	12	19	20	1	543	156	190	185	12	471	185	135	221	25	5	20.00%	30	13	56.67%	1	153	320	47.81%	148	293	50.51%	104	222	46.85%	280	164	280	125	245	117

			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
13	12	L1	52	92	144	543	471	185	135	221	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
13	6	7	0	0	0	0	52	51

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	2	4	0	0	0	0	23	29

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	4	3	0	0	0	0	29	22

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
4	5	1	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
25	5	20.00%	30	13	56.67%	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
156	190	185	12	12	19	20	1

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
153	320	47.81%	148	293	50.51%	104	222	46.85%

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
280	164	280	125	245	117

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 - 2019-10-04	2	Manitoba Moose	2	Seattle Thunderbirds	3	L	X	Sommaire du Match
2 - 2019-10-05	10	Manitoba Moose	4	Seattle Thunderbirds	2	W		Sommaire du Match
3 - 2019-10-06	18	Seattle Thunderbirds	6	Manitoba Moose	3	L		Sommaire du Match
4 - 2019-10-07	26	Seattle Thunderbirds	3	Manitoba Moose	7	W		Sommaire du Match
5 - 2019-10-08	34	Manitoba Moose	5	Seattle Thunderbirds	3	W		Sommaire du Match
6 - 2019-10-09	42	Seattle Thunderbirds	3	Manitoba Moose	2	L		Sommaire du Match
7 - 2019-10-10	50	Manitoba Moose	6	Seattle Thunderbirds	3	W		Sommaire du Match
8 - 2019-10-11	57	Manitoba Moose	3	Philadelphia Phantoms	5	L		Sommaire du Match
9 - 2019-10-12	61	Manitoba Moose	2	Philadelphia Phantoms	3	L		Sommaire du Match
10 - 2019-10-13	65	Philadelphia Phantoms	4	Manitoba Moose	5	W	X	Sommaire du Match
11 - 2019-10-14	69	Philadelphia Phantoms	6	Manitoba Moose	2	L		Sommaire du Match
12 - 2019-10-15	73	Manitoba Moose	7	Philadelphia Phantoms	3	W		Sommaire du Match
13 - 2019-10-16	77	Philadelphia Phantoms	7	Manitoba Moose	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	11,251	5,772
Assistance PCT	93.76%	96.20%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
35	2837 - 94.57%	119,291$	715,744$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	2,704,591$	2,288,758$	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$	0	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
Saison Régulière
2016	82	44	18	0	6	5	4	5	448	382	66	41	25	8	0	2	2	2	2	224	179	45	41	19	10	0	4	3	2	3	224	203	21	88	448	707	1155	1	0	87	171	180	14	3272	960	1110	1178	58	2925	947	2113	1647	241	79	32.78%	264	99	62.50%	10	1127	1964	57.38%	1074	1909	56.26%	948	1654	57.32%	1735	965	1706	778	1547	761
2017	82	38	30	0	4	3	4	3	393	342	51	41	24	12	0	2	0	2	1	204	158	46	41	14	18	0	2	3	2	2	189	184	5	76	393	626	1019	1	0	91	157	137	11	3134	921	1094	1100	38	2899	985	1885	1644	240	76	31.67%	251	79	68.53%	9	990	1884	52.55%	953	1791	53.21%	843	1543	54.63%	1753	986	1684	773	1533	757
2018	82	30	42	0	1	3	3	3	373	401	-28	41	15	20	0	1	1	3	1	189	193	-4	41	15	22	0	0	2	0	2	184	208	-24	60	373	588	961	3	0	83	163	123	9	2844	838	1036	954	36	2991	956	2975	1618	223	83	37.22%	306	98	67.97%	16	911	1655	55.05%	932	1851	50.35%	811	1582	51.26%	1626	849	1724	789	1603	784
2019	82	35	31	0	5	2	3	6	380	367	13	41	22	13	0	0	2	3	1	202	178	24	41	13	18	0	5	0	0	5	178	189	-11	70	380	612	992	0	0	80	147	145	13	3108	883	1133	1046	70	3138	1048	1817	1558	208	66	31.73%	264	76	71.21%	7	994	1845	53.88%	1012	1976	51.21%	772	1527	50.56%	1730	957	1710	756	1538	771
Total Saison Régulière	328	147	121	0	16	13	14	17	1594	1492	102	164	86	53	0	5	5	10	5	819	708	111	164	61	68	0	11	8	4	12	775	784	-9	294	1594	2533	4127	5	0	341	638	585	47	12358	3602	4373	4278	202	11953	3936	8790	6467	912	304	33.33%	1085	352	67.56%	42	4022	7348	54.74%	3971	7527	52.76%	3374	6306	53.50%	6845	3758	6826	3097	6222	3075
2019	13	6	7	0	0	0	0	0	52	51	1	6	2	4	0	0	0	0	0	23	29	-6	7	4	3	0	0	0	0	0	29	22	7	12	52	92	144	0	0	12	19	20	1	543	156	190	185	12	471	185	135	221	25	5	20.00%	30	13	56.67%	1	153	320	47.81%	148	293	50.51%	104	222	46.85%	280	164	280	125	245	117
Total Séries	13	6	7	0	0	0	0	0	52	51	1	6	2	4	0	0	0	0	0	23	29	-6	7	4	3	0	0	0	0	0	29	22	7	12	52	92	144	0	0	12	19	20	1	543	156	190	185	12	471	185	135	221	25	5	20.00%	30	13	56.67%	1	153	320	47.81%	148	293	50.51%	104	222	46.85%	280	164	280	125	245	117