LAAHS - Manitoba Moose

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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	Michael McLeod	X				100.00	81	44	89	79	70	56	85	59	74	63	55	72	25	47	47	63	80	62	0	23	2	875,000$
2	Matt Beleskey		X			100.00	73	73	73	65	73	70	74	59	50	48	60	68	57	68	70	61	73	60	0	32	1	900,000$
3	Steve Bernier			X		100.00	87	82	99	61	82	57	60	52	50	45	47	75	45	75	79	58	77	59	0	35	1	900,000$
4	Cody McLeod		X	X		100.00	69	78	49	61	78	53	53	58	50	47	57	69	54	80	82	58	82	58	0	36	1	900,000$
5	Sean Malone	X				100.00	75	70	86	64	70	63	64	59	74	56	58	63	55	44	44	61	74	58	0	25	1	750,000$
6	Gerald Mayhew	X	X	X		100.00	71	42	94	62	62	59	84	68	46	50	68	53	25	53	53	64	68	58	0	28	1	700,000$
7	Anthony Peluso		X	X		100.00	83	86	77	63	86	56	58	51	50	47	46	70	44	64	64	56	81	57	0	31	1	900,000$
8	Peter Abbandonato (R)	X				100.00	76	69	92	65	69	63	65	56	70	50	58	63	55	44	44	60	75	57	0	22	1	500,001$
9	Shane Gersich	X	X			100.00	71	64	86	62	64	72	77	54	68	47	57	60	54	44	44	59	77	56	0	24	1	700,000$
10	Matt Lorito		X	X		100.00	69	61	88	63	61	61	62	59	50	57	56	60	53	44	44	60	77	56	0	30	1	700,000$
11	Chase Pearson	X				100.00	77	72	90	60	72	66	69	55	69	52	53	63	50	44	44	58	71	56	0	23	2	858,750$
12	Victor Mete (R)				X	100.00	63	41	88	81	65	68	82	60	25	51	49	74	25	60	60	62	56	64	0	22	1	870,000$
13	Brian Lashoff				X	100.00	81	82	78	68	82	66	72	48	25	35	41	68	39	63	64	53	40	61	0	30	1	700,000$
14	Jake Walman				X	100.00	70	65	83	71	65	74	79	55	25	47	48	61	46	48	48	58	72	60	0	25	1	925,000$
15	Andreas Borgman				X	100.00	72	70	78	67	70	62	66	50	25	43	40	62	38	55	55	52	71	58	0	25	1	700,000$
16	Guillaume Brisebois				X	100.00	70	67	78	68	67	65	70	49	25	41	41	60	39	51	51	53	73	57	0	23	1	863,000$
17	Urho Vaakanainen				X	100.00	75	69	89	78	69	59	63	47	25	37	42	60	40	44	44	53	59	57	0	22	2	925,000$
18	Bode Wilde (R)				X	100.00	77	73	85	60	73	56	60	45	25	35	39	61	37	44	44	51	67	54	0	21	1	778,333$
19	Reece Scarlett				X	100.00	74	69	86	61	69	49	50	49	25	40	42	60	40	44	44	51	52	53	0	27	1	700,001$
20	Daniel Walcott				X	100.00	62	63	58	65	63	52	53	50	25	40	46	55	44	44	44	51	30	52	0	27	1	700,001$
Rayé
1	Eetu Luostarinen (R)	X				100.00	72	67	85	77	67	70	73	59	74	58	56	62	53	44	44	61	59	60	0	22	1	897,501$
2	Thomas Schemitsch				X	100.00	78	77	80	60	77	68	74	48	25	39	41	62	39	44	44	53	61	57	0	24	1	715,000$
3	Samuel Morin (R)				X	100.00	80	79	81	69	79	36	35	41	25	28	39	61	37	44	44	48	30	52	0	25	1	700,000$

	MOYENNE D'ÉQUIPE					100.00	74	68	82	67	71	61	66	54	43	46	50	64	43	52	52	57	65	57

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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	Christopher Gibson	100.00	60	63	79	72	62	65	53	63	61	59	30	45	45	60	71	60	0
2	Evan Cormier	99.00	47	48	60	81	45	46	50	53	47	48	30	44	44	48	71	51	0
Rayé
1	Filip Larsson (R)	100.00	44	49	61	71	40	42	50	51	44	45	30	44	44	46	20	48	0

	MOYENNE D'ÉQUIPE	99.67	50	53	67	75	49	51	51	56	51	51	30	44	44	51	54	53

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Ray Bennett	64	75	76	68	86	80	61	CAN	57	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	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Michael McLeod	Manitoba Moose (VAN)	C	35	32	41	73	21	26	20	44	87	170	47	105	18.82%	19	704	20.12	8	16	24	23	75	2	1	3	5	95	5	2	51.36%	847	35	18	2	2.07	0	7	2	0	2	6	4	3
2	Matt Beleskey	Manitoba Moose (VAN)	LW	40	23	36	59	17	64	40	51	64	158	57	100	14.56%	29	779	19.50	7	16	23	20	84	1	2	3	11	95	2	3	51.67%	60	41	14	1	1.51	5	8	1	2	5	4	5	0
3	Eetu Luostarinen	Manitoba Moose (VAN)	C	33	17	19	36	-3	30	10	35	66	123	32	62	13.82%	24	593	17.98	4	4	8	8	60	0	0	0	1	66	2	1	54.36%	493	36	8	0	1.21	3	6	1	0	1	2	0	2
4	Gerald Mayhew	Manitoba Moose (VAN)	C/LW/RW	40	15	19	34	-3	5	5	41	38	129	40	104	11.63%	19	608	15.21	3	2	5	9	68	0	0	0	0	3	1	0	41.12%	107	29	8	0	1.12	0	0	0	1	0	1	1	3
5	Sean Malone	Manitoba Moose (VAN)	C	40	13	18	31	2	43	25	54	63	124	44	97	10.48%	21	580	14.51	0	1	1	0	6	1	1	2	2	47	3	1	56.34%	410	43	13	0	1.07	0	3	1	1	3	1	3	1
6	Matt Lorito	Manitoba Moose (VAN)	LW/RW	40	12	18	30	7	18	10	45	32	106	41	77	11.32%	6	543	13.59	3	2	5	9	33	0	0	0	0	1	1	2	37.50%	24	24	9	0	1.10	1	1	2	0	0	2	0	2
7	Steve Bernier	Manitoba Moose (VAN)	RW	38	13	15	28	0	64	40	52	42	68	19	43	19.12%	19	580	15.27	4	1	5	6	47	1	0	1	2	11	1	0	58.82%	34	9	15	0	0.97	1	2	3	3	2	2	1	1
8	Anthony Peluso	Manitoba Moose (VAN)	LW/RW	40	12	13	25	-5	83	65	60	52	66	24	46	18.18%	18	564	14.12	0	3	3	0	13	0	0	0	0	11	0	0	36.67%	30	20	12	0	0.89	0	0	4	5	4	0	0	2
9	Peter Abbandonato	Manitoba Moose (VAN)	C	40	10	15	25	-1	22	10	38	57	122	27	62	8.20%	20	490	12.26	0	1	1	0	1	0	0	0	0	44	1	1	55.74%	357	28	14	0	1.02	2	2	1	0	1	0	1	3
10	Cody McLeod	Manitoba Moose (VAN)	LW/RW	39	10	9	19	-3	127	35	71	59	64	31	41	15.63%	19	608	15.61	2	1	3	2	57	0	0	0	0	32	1	1	48.39%	31	14	17	0	0.62	1	1	2	2	3	1	0	0
11	Jake Walman	Manitoba Moose (VAN)	D	40	3	15	18	-6	23	15	24	30	58	23	24	5.17%	42	785	19.65	2	5	7	5	98	0	2	2	1	52	0	1	0.00%	0	14	20	0	0.46	0	0	1	1	1	0	1	0
12	Shane Gersich	Manitoba Moose (VAN)	C/LW	40	7	11	18	-2	62	30	36	26	78	24	38	8.97%	14	446	11.16	0	0	0	0	10	0	0	0	0	3	1	0	42.86%	21	18	11	0	0.81	0	0	2	1	3	0	1	0
13	Brian Lashoff	Manitoba Moose (VAN)	D	37	4	12	16	5	74	40	50	42	50	18	23	8.00%	52	708	19.14	4	4	8	5	87	0	1	1	2	40	0	0	0.00%	0	5	21	0	0.45	0	0	2	5	1	0	0	0
14	Chase Pearson	Manitoba Moose (VAN)	C	40	6	5	11	2	38	20	33	32	54	6	43	11.11%	9	467	11.68	0	0	0	1	18	0	0	0	0	4	0	1	50.43%	117	9	9	0	0.47	0	1	0	1	3	0	1	1
15	Andreas Borgman	Manitoba Moose (VAN)	D	40	0	8	8	16	26	10	39	50	29	17	9	0.00%	34	698	17.45	0	1	1	1	22	0	1	1	1	99	0	0	0.00%	0	2	29	0	0.23	0	0	1	1	0	0	0	0
16	Urho Vaakanainen	Manitoba Moose (VAN)	D	36	0	7	7	-3	32	30	20	34	23	7	13	0.00%	27	534	14.85	0	0	0	1	41	0	0	0	0	23	0	0	0.00%	0	3	13	0	0.26	0	0	0	1	5	0	0	0
17	Bode Wilde	Manitoba Moose (VAN)	D	40	1	6	7	5	30	20	16	29	24	11	11	4.17%	26	461	11.55	0	0	0	0	0	0	0	0	0	48	0	0	0.00%	0	1	10	0	0.30	0	0	0	2	2	0	0	0
18	Victor Mete	Manitoba Moose (VAN)	D	22	0	6	6	-7	17	5	8	17	27	18	14	0.00%	21	348	15.86	0	1	1	1	37	0	0	0	0	16	0	0	0.00%	0	8	7	0	0.34	0	0	0	0	0	0	0	0
19	Guillaume Brisebois	Manitoba Moose (VAN)	D	40	0	5	5	13	32	20	23	24	22	12	11	0.00%	27	608	15.21	0	0	0	0	10	0	0	0	0	83	0	0	0.00%	0	3	22	0	0.16	0	0	1	1	2	0	0	0
20	Thomas Schemitsch	Manitoba Moose (VAN)	D	32	0	4	4	-5	41	25	19	21	14	6	3	0.00%	25	422	13.21	0	0	0	0	5	0	0	0	1	38	0	0	0.00%	0	1	12	0	0.19	0	0	1	2	2	0	0	0
21	Samuel Morin	Manitoba Moose (VAN)	D	11	0	2	2	5	12	10	3	5	5	4	2	0.00%	6	121	11.08	0	0	0	0	0	0	0	0	0	10	0	0	0.00%	0	1	2	0	0.33	0	0	0	0	2	0	0	0
22	Reece Scarlett	Manitoba Moose (VAN)	D	24	0	2	2	0	5	5	7	6	9	4	4	0.00%	3	198	8.26	0	0	0	0	0	0	0	0	0	1	0	0	16.67%	6	1	2	0	0.20	0	0	0	0	1	0	0	0
23	Daniel Walcott	Manitoba Moose (VAN)	D	12	0	1	1	-1	9	5	2	9	5	2	2	0.00%	3	123	10.27	0	1	1	0	16	0	0	0	0	2	0	0	0.00%	0	2	2	0	0.16	0	0	0	0	1	0	0	0
Stats d'équipe Total ou en Moyenne				799	178	287	465	54	883	495	771	885	1528	514	934	11.65%	483	11980	14.99	37	59	96	91	798	5	8	13	26	831	18	13	52.50%	2537	347	288	3	0.78	13	31	25	29	44	19	18	18

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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	GA	SA	SAR	A	PS %	PSA	ST	BG	S1	S2	S3
1	Christopher Gibson	Manitoba Moose (VAN)	36	22	10	3	0.893	3.88	2102	2	136	1268	691	3	0.727	22	33	7	1	1	3
2	Evan Cormier	Manitoba Moose (VAN)	7	2	2	1	0.854	5.23	344	0	30	206	124	0	0.700	10	7	33	0	0	0
Stats d'équipe Total ou en Moyenne			43	24	12	4	0.887	4.07	2446	2	166	1474	815	3	0.719	32	40	40	1	1	3

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Astuces sur les Filtres (Anglais seulement)

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

Nom du 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	25	1995-06-18	No	191 Lbs	6 ft0	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Anthony Peluso	Manitoba Moose (VAN)	LW/RW	31	1989-04-17	No	235 Lbs	6 ft3	Yes	No	No	1	Pro & Farm	900,000$	0$	0$	No			Lien
Bode Wilde	Manitoba Moose (VAN)	D	21	2000-01-24	Yes	192 Lbs	6 ft3	No	No	No	1	Pro & Farm	778,333$	0$	0$	No
Brian Lashoff	Manitoba Moose (VAN)	D	30	1990-07-15	No	221 Lbs	6 ft3	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Chase Pearson	Manitoba Moose (VAN)	C	23	1997-08-23	No	190 Lbs	6 ft2	No	No	No	2	Pro & Farm	858,750$	0$	0$	No	858,750$		Lien
Christopher Gibson	Manitoba Moose (VAN)	G	28	1992-12-27	No	188 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Lien
Cody McLeod	Manitoba Moose (VAN)	LW/RW	36	1984-06-26	No	210 Lbs	6 ft2	Yes	No	No	1	Pro & Farm	900,000$	0$	0$	No			Lien
Daniel Walcott	Manitoba Moose (VAN)	D	27	1994-02-19	No	174 Lbs	5 ft11	No	No	No	1	Pro & Farm	700,001$	0$	0$	No
Eetu Luostarinen	Manitoba Moose (VAN)	C	22	1998-09-02	Yes	179 Lbs	6 ft2	No	No	No	1	Pro & Farm	897,501$	0$	0$	No			Lien
Evan Cormier	Manitoba Moose (VAN)	G	23	1997-11-05	No	202 Lbs	6 ft3	No	No	No	2	Pro & Farm	718,333$	0$	0$	No	718,333$		Lien
Filip Larsson	Manitoba Moose (VAN)	G	22	1998-08-17	Yes	181 Lbs	6 ft2	No	No	No	3	Pro & Farm	836,666$	0$	0$	No	836,666$	836,666$
Gerald Mayhew	Manitoba Moose (VAN)	C/LW/RW	28	1992-12-31	No	170 Lbs	5 ft10	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Guillaume Brisebois	Manitoba Moose (VAN)	D	23	1997-07-21	No	175 Lbs	6 ft2	No	No	No	1	Pro & Farm	863,000$	0$	0$	No			Lien
Jake Walman	Manitoba Moose (VAN)	D	25	1996-02-19	No	170 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien
Matt Beleskey	Manitoba Moose (VAN)	LW	32	1988-06-07	No	203 Lbs	6 ft0	Yes	No	No	1	Pro & Farm	900,000$	0$	0$	No			Lien
Matt Lorito	Manitoba Moose (VAN)	LW/RW	30	1990-07-03	No	170 Lbs	5 ft9	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Michael McLeod	Manitoba Moose (VAN)	C	23	1998-02-03	No	187 Lbs	6 ft2	No	No	No	2	Pro & Farm	875,000$	0$	0$	No	875,000$		Lien
Peter Abbandonato	Manitoba Moose (VAN)	C	22	1998-03-25	Yes	194 Lbs	5 ft11	No	No	No	1	Pro & Farm	500,001$	0$	0$	No			Lien
Reece Scarlett	Manitoba Moose (VAN)	D	27	1993-05-31	No	185 Lbs	6 ft1	No	No	No	1	Pro & Farm	700,001$	0$	0$	No
Samuel Morin	Manitoba Moose (VAN)	D	25	1995-07-12	Yes	203 Lbs	6 ft6	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Sean Malone	Manitoba Moose (VAN)	C	25	1995-04-30	No	190 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Lien
Shane Gersich	Manitoba Moose (VAN)	C/LW	24	1996-07-09	No	175 Lbs	5 ft11	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Steve Bernier	Manitoba Moose (VAN)	RW	35	1985-03-31	No	220 Lbs	6 ft3	Yes	No	No	1	Pro & Farm	900,000$	0$	0$	No			Lien
Thomas Schemitsch	Manitoba Moose (VAN)	D	24	1996-10-25	No	200 Lbs	6 ft4	No	No	No	1	Pro & Farm	715,000$	0$	0$	No			Lien
Urho Vaakanainen	Manitoba Moose (VAN)	D	22	1999-01-01	No	187 Lbs	6 ft1	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien
Victor Mete	Manitoba Moose (VAN)	D	22	1998-06-07	Yes	184 Lbs	5 ft10	No	No	No	1	Pro & Farm	870,000$	0$	0$	No			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
26	25.96	191 Lbs	6 ft1	1.23	787,023$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Matt Beleskey	Michael McLeod	Matt Lorito	25	1	2	2
2	Shane Gersich	Chase Pearson	Gerald Mayhew	25	1	2	2
3	Anthony Peluso	Sean Malone	Steve Bernier	25	1	2	2
4	Reece Scarlett	Peter Abbandonato	Cody McLeod	25	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Daniel Walcott	Jake Walman	25	1	2	2
2	Victor Mete	Urho Vaakanainen	25	1	2	2
3	Guillaume Brisebois	Andreas Borgman	25	1	2	2
4	Bode Wilde	Brian Lashoff	25	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Matt Beleskey	Michael McLeod	Matt Lorito	60	1	2	2
2	Shane Gersich	Chase Pearson	Gerald Mayhew	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Daniel Walcott	Jake Walman	60	1	2	2
2	Victor Mete	Urho Vaakanainen	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Michael McLeod	Matt Beleskey	60	1	2	2
2	Chase Pearson	Sean Malone	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Guillaume Brisebois	Andreas Borgman	60	1	2	2
2	Bode Wilde	Brian Lashoff	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Michael McLeod	60	1	2	2	Guillaume Brisebois	Andreas Borgman	60	1	2	2
2	Matt Beleskey	40	1	2	2	Bode Wilde	Brian Lashoff	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Michael McLeod	Matt Beleskey	60	1	2	2
2	Chase Pearson	Sean Malone	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Daniel Walcott	Jake Walman	60	1	2	2
2	Victor Mete	Urho Vaakanainen	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Matt Beleskey	Michael McLeod	Matt Lorito	Daniel Walcott	Victor Mete

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Matt Beleskey	Michael McLeod	Matt Lorito	Daniel Walcott	Victor Mete

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Chase Pearson, Anthony Peluso, Peter Abbandonato	Chase Pearson, Anthony Peluso	Peter Abbandonato

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Victor Mete, Andreas Borgman, Bode Wilde	Victor Mete	Daniel Walcott, Bode Wilde

Tirs de Pénalité
Michael McLeod, Matt Beleskey, Chase Pearson, Sean Malone, Matt Lorito

Gardien
#1 : Evan Cormier, #2 : Christopher Gibson

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	Binghampton Senators	1	1	0	0	0	0	0	0	7	3	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	3	4	2	1.000	7	10	17	0	0	41	75	60	14	39	444	522	529	63	29	10	92	15	3	1	33.33%	6	2	66.67%	0	455	870	52.30%	509	936	54.38%	368	731	50.34%	830	448	836	390	780	382
2	Boisbriand Armada	1	1	0	0	0	0	0	0	6	3	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	3	3	2	1.000	6	9	15	0	0	41	75	60	14	42	444	522	529	63	37	10	31	8	2	0	0.00%	3	0	100.00%	0	455	870	52.30%	509	936	54.38%	368	731	50.34%	830	448	836	390	780	382
3	Brampton Battalion	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	5	8	0	0	41	75	60	14	32	444	522	529	63	39	12	11	17	1	1	100.00%	3	1	66.67%	0	455	870	52.30%	509	936	54.38%	368	731	50.34%	830	448	836	390	780	382
4	Calgary Hitman	1	0	0	0	1	0	0	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	6	5	1	2	1.000	6	9	15	0	0	41	75	60	14	43	444	522	529	63	44	10	16	18	2	0	0.00%	3	0	100.00%	0	455	870	52.30%	509	936	54.38%	368	731	50.34%	830	448	836	390	780	382
5	Chicoutimi Sagueneens	2	1	0	0	0	0	1	0	6	4	2	1	1	0	0	0	0	0	0	4	3	1	1	0	0	0	0	0	1	0	2	1	1	4	1.000	6	10	16	0	0	41	75	60	14	69	444	522	529	63	74	23	18	38	4	1	25.00%	4	2	50.00%	0	455	870	52.30%	509	936	54.38%	368	731	50.34%	830	448	836	390	780	382
6	Drummondville Voltigeurs	1	0	0	0	0	1	0	0	6	7	-1	1	0	0	0	0	1	0	0	6	7	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	6	11	17	0	0	41	75	60	14	45	444	522	529	63	27	9	10	22	3	0	0.00%	0	0	0.00%	0	455	870	52.30%	509	936	54.38%	368	731	50.34%	830	448	836	390	780	382
7	Hartford Wolf Pack	2	1	0	0	0	0	1	0	13	7	6	1	1	0	0	0	0	0	0	7	2	5	1	0	0	0	0	0	1	0	6	5	1	4	1.000	13	18	31	0	0	41	75	60	14	87	444	522	529	63	86	25	64	35	6	2	33.33%	3	1	66.67%	0	455	870	52.30%	509	936	54.38%	368	731	50.34%	830	448	836	390	780	382
8	Hershey Bears	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	6	9	15	0	0	41	75	60	14	76	444	522	529	63	75	23	78	36	5	1	20.00%	4	1	75.00%	0	455	870	52.30%	509	936	54.38%	368	731	50.34%	830	448	836	390	780	382
9	Lake Erie Monsters	1	0	0	0	1	0	0	0	8	7	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	8	7	1	2	1.000	8	14	22	0	0	41	75	60	14	40	444	522	529	63	40	11	30	16	5	2	40.00%	5	2	60.00%	0	455	870	52.30%	509	936	54.38%	368	731	50.34%	830	448	836	390	780	382
10	Laval Rockets	3	1	1	0	0	0	1	0	13	14	-1	1	0	0	0	0	0	1	0	4	3	1	2	1	1	0	0	0	0	0	9	11	-2	4	0.667	13	18	31	0	0	41	75	60	14	105	444	522	529	63	110	40	46	60	7	1	14.29%	13	6	53.85%	2	455	870	52.30%	509	936	54.38%	368	731	50.34%	830	448	836	390	780	382
11	Lowell Devils	1	0	0	0	0	0	1	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	5	4	1	2	1.000	5	6	11	0	0	41	75	60	14	42	444	522	529	63	50	14	14	20	1	1	100.00%	2	0	100.00%	0	455	870	52.30%	509	936	54.38%	368	731	50.34%	830	448	836	390	780	382
12	Milwaukee Admirals	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	6	4	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	10	16	0	0	41	75	60	14	25	444	522	529	63	18	8	11	25	4	1	25.00%	3	0	100.00%	1	455	870	52.30%	509	936	54.38%	368	731	50.34%	830	448	836	390	780	382
13	Peoria Riverman	2	1	1	0	0	0	0	0	7	7	0	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	7	11	18	0	0	41	75	60	14	89	444	522	529	63	66	31	45	37	5	1	20.00%	5	1	80.00%	0	455	870	52.30%	509	936	54.38%	368	731	50.34%	830	448	836	390	780	382
14	Philadelphia Phantoms	1	0	1	0	0	0	0	0	2	8	-6	1	0	1	0	0	0	0	0	2	8	-6	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	41	75	60	14	30	444	522	529	63	37	10	35	18	1	0	0.00%	5	0	100.00%	0	455	870	52.30%	509	936	54.38%	368	731	50.34%	830	448	836	390	780	382
15	Portland Pirates	2	0	1	0	0	0	1	0	8	8	0	2	0	1	0	0	0	1	0	8	8	0	0	0	0	0	0	0	0	0	0	0	0	2	0.500	8	10	18	0	0	41	75	60	14	76	444	522	529	63	77	18	40	33	7	3	42.86%	5	1	80.00%	0	455	870	52.30%	509	936	54.38%	368	731	50.34%	830	448	836	390	780	382
16	Quebec Rempart	3	1	2	0	0	0	0	0	9	12	-3	2	1	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	4	6	-2	2	0.333	9	12	21	0	0	41	75	60	14	99	444	522	529	63	95	37	62	65	12	3	25.00%	11	4	63.64%	0	455	870	52.30%	509	936	54.38%	368	731	50.34%	830	448	836	390	780	382
17	Rimouski Oceanic	4	2	0	0	0	0	1	1	21	16	5	3	1	0	0	0	0	1	1	16	13	3	1	1	0	0	0	0	0	0	5	3	2	7	0.875	21	31	52	0	0	41	75	60	14	168	444	522	529	63	142	58	77	96	11	3	27.27%	18	4	77.78%	0	455	870	52.30%	509	936	54.38%	368	731	50.34%	830	448	836	390	780	382
18	Seattle Thunderbirds	2	0	2	0	0	0	0	0	8	12	-4	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	8	12	-4	0	0.000	8	16	24	0	0	41	75	60	14	71	444	522	529	63	83	30	31	37	4	2	50.00%	8	4	50.00%	1	455	870	52.30%	509	936	54.38%	368	731	50.34%	830	448	836	390	780	382
19	Texas Stars	3	2	0	0	0	1	0	0	17	12	5	2	2	0	0	0	0	0	0	11	5	6	1	0	0	0	0	1	0	0	6	7	-1	5	0.833	17	26	43	0	0	41	75	60	14	119	444	522	529	63	103	28	50	61	12	7	58.33%	10	3	70.00%	1	455	870	52.30%	509	936	54.38%	368	731	50.34%	830	448	836	390	780	382
20	Toronto Marlies	1	0	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	4	6	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	8	12	0	0	41	75	60	14	47	444	522	529	63	36	9	4	17	3	0	0.00%	2	1	50.00%	0	455	870	52.30%	509	936	54.38%	368	731	50.34%	830	448	836	390	780	382
21	Worcester Sharks	5	3	1	0	0	0	0	1	23	18	5	2	2	0	0	0	0	0	0	9	6	3	3	1	1	0	0	0	0	1	14	12	2	7	0.700	23	40	63	0	0	41	75	60	14	184	444	522	529	63	206	67	120	97	12	7	58.33%	20	4	80.00%	0	455	870	52.30%	509	936	54.38%	368	731	50.34%	830	448	836	390	780	382
	Total	40	16	12	0	2	2	6	2	184	168	16	21	11	5	0	0	1	3	1	92	80	12	19	5	7	0	2	1	3	1	92	88	4	52	0.650	184	287	471	0	0	41	75	60	14	1528	444	522	529	63	1474	483	885	771	110	37	33.64%	133	37	72.18%	5	455	870	52.30%	509	936	54.38%	368	731	50.34%	830	448	836	390	780	382
	_Since Last GM Reset	40	16	12	0	2	2	6	2	184	168	16	21	11	5	0	0	1	3	1	92	80	12	19	5	7	0	2	1	3	1	92	88	4	52	0.650	184	287	471	0	0	41	75	60	14	1528	444	522	529	63	1474	483	885	771	110	37	33.64%	133	37	72.18%	5	455	870	52.30%	509	936	54.38%	368	731	50.34%	830	448	836	390	780	382
	_Vs Conference	31	13	10	0	0	1	5	2	133	124	9	17	10	3	0	0	0	3	1	73	58	15	14	3	7	0	0	1	2	1	60	66	-6	39	0.629	133	205	338	0	0	41	75	60	14	1173	444	522	529	63	1154	390	666	613	86	31	36.05%	106	31	70.75%	4	455	870	52.30%	509	936	54.38%	368	731	50.34%	830	448	836	390	780	382
	_Vs Division	6	8	4	0	0	0	2	2	21	21	0	3	6	1	0	0	0	1	1	8	8	0	3	2	3	0	0	0	1	1	13	13	0	22	1.833	21	30	51	0	0	41	75	60	14	217	444	522	529	63	207	70	171	109	19	4	21.05%	18	5	72.22%	0	455	870	52.30%	509	936	54.38%	368	731	50.34%	830	448	836	390	780	382

			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
40	52	W1	184	287	471	1528	1474	483	885	771	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	16	12	2	2	6	2	184	168

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
21	11	5	0	1	3	1	92	80

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
19	5	7	2	1	3	1	92	88

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
4	5	0	0	1	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
110	37	33.64%	133	37	72.18%	5

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
444	522	529	63	41	75	60	14

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
455	870	52.30%	509	936	54.38%	368	731	50.34%

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
830	448	836	390	780	382

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
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Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	SO	Lien
1 - 2020-11-10	2	Rimouski Oceanic	4	Manitoba Moose	3	L	X	X	Sommaire du Match
3 - 2020-11-12	24	Manitoba Moose	5	Rimouski Oceanic	3	W			Sommaire du Match
4 - 2020-11-13	41	Hershey Bears	2	Manitoba Moose	3	W			Sommaire du Match
5 - 2020-11-14	47	Manitoba Moose	6	Hartford Wolf Pack	5	W	X	X	Sommaire du Match
8 - 2020-11-17	67	Manitoba Moose	3	Hershey Bears	4	L			Sommaire du Match
10 - 2020-11-19	84	Rimouski Oceanic	4	Manitoba Moose	5	W	X	X	Sommaire du Match
12 - 2020-11-21	103	Rimouski Oceanic	5	Manitoba Moose	8	W			Sommaire du Match
14 - 2020-11-23	126	Hartford Wolf Pack	2	Manitoba Moose	7	W			Sommaire du Match
16 - 2020-11-25	147	Manitoba Moose	3	Worcester Sharks	4	L			Sommaire du Match
17 - 2020-11-26	150	Manitoba Moose	4	Quebec Rempart	6	L			Sommaire du Match
19 - 2020-11-28	171	Worcester Sharks	4	Manitoba Moose	5	W			Sommaire du Match
21 - 2020-11-30	192	Quebec Rempart	1	Manitoba Moose	3	W			Sommaire du Match
23 - 2020-12-02	205	Manitoba Moose	4	Laval Rockets	7	L			Sommaire du Match
24 - 2020-12-03	220	Portland Pirates	3	Manitoba Moose	4	W	X	X	Sommaire du Match
26 - 2020-12-05	232	Manitoba Moose	6	Calgary Hitman	5	W	X		Sommaire du Match
28 - 2020-12-07	250	Texas Stars	1	Manitoba Moose	6	W			Sommaire du Match
30 - 2020-12-09	266	Manitoba Moose	5	Worcester Sharks	6	L	X	X	Sommaire du Match
31 - 2020-12-10	282	Brampton Battalion	5	Manitoba Moose	3	L			Sommaire du Match
33 - 2020-12-12	297	Manitoba Moose	6	Texas Stars	7	L	X		Sommaire du Match
35 - 2020-12-14	315	Worcester Sharks	2	Manitoba Moose	4	W			Sommaire du Match
36 - 2020-12-15	327	Manitoba Moose	5	Laval Rockets	4	W			Sommaire du Match
38 - 2020-12-17	337	Manitoba Moose	4	Seattle Thunderbirds	5	L			Sommaire du Match
40 - 2020-12-19	356	Texas Stars	4	Manitoba Moose	5	W			Sommaire du Match
42 - 2020-12-21	376	Manitoba Moose	8	Lake Erie Monsters	7	W	X		Sommaire du Match
43 - 2020-12-22	388	Laval Rockets	3	Manitoba Moose	4	W	X	X	Sommaire du Match
45 - 2020-12-24	407	Drummondville Voltigeurs	7	Manitoba Moose	6	L	X		Sommaire du Match
46 - 2020-12-25	414	Manitoba Moose	2	Chicoutimi Sagueneens	1	W	X	X	Sommaire du Match
49 - 2020-12-28	437	Chicoutimi Sagueneens	3	Manitoba Moose	4	W			Sommaire du Match
51 - 2020-12-30	452	Manitoba Moose	6	Worcester Sharks	2	W			Sommaire du Match
53 - 2021-01-01	469	Toronto Marlies	6	Manitoba Moose	4	L			Sommaire du Match
54 - 2021-01-02	481	Manitoba Moose	4	Seattle Thunderbirds	7	L			Sommaire du Match
56 - 2021-01-04	499	Milwaukee Admirals	4	Manitoba Moose	6	W			Sommaire du Match
57 - 2021-01-05	508	Manitoba Moose	7	Binghampton Senators	3	W			Sommaire du Match
59 - 2021-01-07	530	Portland Pirates	5	Manitoba Moose	4	L			Sommaire du Match
62 - 2021-01-10	547	Manitoba Moose	5	Lowell Devils	4	W	X	X	Sommaire du Match
63 - 2021-01-11	562	Quebec Rempart	5	Manitoba Moose	2	L			Sommaire du Match
65 - 2021-01-13	576	Manitoba Moose	6	Boisbriand Armada	3	W			Sommaire du Match
66 - 2021-01-14	594	Philadelphia Phantoms	8	Manitoba Moose	2	L			Sommaire du Match
68 - 2021-01-16	611	Manitoba Moose	3	Peoria Riverman	5	L			Sommaire du Match
70 - 2021-01-18	626	Peoria Riverman	2	Manitoba Moose	4	W			Sommaire du Match
72 - 2021-01-20	647	Manitoba Moose	-	London Knights	-
73 - 2021-01-21	657	Rimouski Oceanic	-	Manitoba Moose	-
75 - 2021-01-23	671	Manitoba Moose	-	Rimouski Oceanic	-
77 - 2021-01-25	688	Rochester Americans	-	Manitoba Moose	-
78 - 2021-01-26	700	Manitoba Moose	-	Rimouski Oceanic	-
80 - 2021-01-28	719	Boisbriand Armada	-	Manitoba Moose	-
82 - 2021-01-30	741	Victoriaville Tigres	-	Manitoba Moose	-
83 - 2021-01-31	751	Manitoba Moose	-	Rochester Americans	-
85 - 2021-02-02	765	Manitoba Moose	-	Hartford Wolf Pack	-
86 - 2021-02-03	779	Worcester Sharks	-	Manitoba Moose	-
88 - 2021-02-05	794	Manitoba Moose	-	Philadelphia Phantoms	-
89 - 2021-02-06	809	Hartford Wolf Pack	-	Manitoba Moose	-
92 - 2021-02-09	829	Manitoba Moose	-	Grand Rapids Griffins	-
93 - 2021-02-10	841	Hartford Wolf Pack	-	Manitoba Moose	-
95 - 2021-02-12	859	Manitoba Moose	-	Portland Pirates	-
97 - 2021-02-14	873	Rochester Americans	-	Manitoba Moose	-
100 - 2021-02-17	897	Manitoba Moose	-	Sherbrooke Phoenix	-
101 - 2021-02-18	905	Grand Rapids Griffins	-	Manitoba Moose	-
103 - 2021-02-20	923	Manitoba Moose	-	Philadelphia Phantoms	-
104 - 2021-02-21	934	Manitoba Moose	-	Hartford Wolf Pack	-
105 - 2021-02-22	946	Seattle Thunderbirds	-	Manitoba Moose	-
107 - 2021-02-24	957	Manitoba Moose	-	Hershey Bears	-
109 - 2021-02-26	978	Hershey Bears	-	Manitoba Moose	-
111 - 2021-02-28	996	Manitoba Moose	-	Bridgeport Sound Tigers	-
112 - 2021-03-01	1006	Chicoutimi Sagueneens	-	Manitoba Moose	-
114 - 2021-03-03	1023	Manitoba Moose	-	Manchester Monarchs	-
115 - 2021-03-04	1034	Chicago Wolves	-	Manitoba Moose	-
117 - 2021-03-06	1055	Manitoba Moose	-	Calgary Hitman	-
118 - 2021-03-07	1067	Las Vegas Wranglers	-	Manitoba Moose	-
121 - 2021-03-10	1089	Hershey Bears	-	Manitoba Moose	-
122 - 2021-03-11	1099	Manitoba Moose	-	Bridgeport Sound Tigers	-
124 - 2021-03-13	1120	Grand Rapids Griffins	-	Manitoba Moose	-
126 - 2021-03-15	1135	Manitoba Moose	-	Hershey Bears	-
128 - 2021-03-17	1150	Manitoba Moose	-	Chicago Wolves	-
129 - 2021-03-18	1163	Peoria Riverman	-	Manitoba Moose	-
131 - 2021-03-20	1180	Lake Erie Monsters	-	Manitoba Moose	-
132 - 2021-03-21	1184	Manitoba Moose	-	Brampton Battalion	-
135 - 2021-03-24	1212	Bridgeport Sound Tigers	-	Manitoba Moose	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
136 - 2021-03-25	1216	Manitoba Moose	-	Quebec Rempart	-
140 - 2021-03-29	1242	Quebec Rempart	-	Manitoba Moose	-
142 - 2021-03-31	1256	Manitoba Moose	-	Chicago Wolves	-
143 - 2021-04-01	1268	Manitoba Moose	-	Quebec Rempart	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	35	15
Assistance	31,925	16,341
Assistance PCT	76.01%	77.81%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
20	2298 - 76.61%	96,672$	2,030,111$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,104,123$	2,046,258$	2,117,925$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	1,104,123$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
1,933,439$	75	14,526$	1,089,450$

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

	Manitoba Moose
	GP: 40 \| W: 24 \| L: 12 \| OTL: 4 \| P: 52 GF: 184 \| GA: 168 \| PP%: 33.64% \| PK%: 72.18% DG: Patrick Lussier \| Morale : 61 \| Moyenne d'Équipe : 57 Prochain matchs #647 vs London Knights