LHSIR - 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	Antoine Roussel		X			100.00	76	57	71	81	72	61	71	68	45	62	70	58	75	72	73	68	47	0	0	30	1	1,000,000$
2	Brad Richardson	X	X			100.00	78	44	89	80	70	65	80	58	91	58	59	92	25	80	83	68	46	0	0	35	1	1,250,000$
3	Brandon Sutter	X		X		100.00	63	55	83	77	73	68	56	65	78	65	71	88	63	78	80	72	33	0	0	31	1	1,250,001$
4	Mattias Janmark	X	X			100.00	63	42	93	82	72	68	89	64	42	69	59	74	25	65	66	67	50	0	0	27	2	800,000$
5	Jason Spezza	X		X		100.00	59	42	90	70	79	57	84	67	82	73	70	64	71	88	92	70	15	0	0	37	3	1,950,000$
6	Jujhar Khaira	X	X			100.00	86	66	83	78	81	63	79	60	51	56	59	82	25	61	61	66	10	0	0	25	1	1,200,000$
7	Joel L'Esperance	X		X		100.00	77	75	81	77	75	79	84	62	78	53	67	65	64	45	45	68	50	0	0	24	2	722,500$
8	Markus Granlund	X	X	X		100.00	63	41	87	82	67	57	83	63	44	53	59	79	72	65	66	64	50	0	0	27	1	900,000$
9	Zack MacEwen	X		X		100.00	89	99	68	66	80	54	72	58	44	56	80	61	25	45	45	71	50	0	0	23	3	1,995,833$
10	Mason Appleton	X		X		100.00	63	42	87	80	72	58	80	60	36	57	60	71	25	55	55	64	50	0	0	24	2	758,333$
11	Chase De Leo	X				100.00	73	65	90	62	65	73	77	60	75	56	58	65	55	54	54	62	50	0	0	24	3	650,000$
12	Dryden Hunt		X	X		100.00	83	45	69	72	71	56	86	62	25	65	55	70	45	58	58	64	50	0	0	24	2	715,000$
13	Brendan Smith		X		X	100.00	80	93	69	76	80	56	80	57	25	47	48	77	25	72	74	60	50	0	0	31	1	1,000,000$
14	Dmitry Kulikov				X	100.00	85	45	82	80	74	80	71	61	25	52	48	77	25	77	78	63	50	0	0	29	1	1,000,000$
15	Erik Gudbranson				X	100.00	82	86	51	76	86	78	81	62	25	49	49	86	75	72	73	63	50	0	0	28	1	1,062,500$
16	Sami Niku				X	100.00	73	43	80	75	66	69	61	61	25	63	47	66	25	48	48	61	50	0	0	23	1	916,666$
17	Johnny Boychuk				X	100.00	86	46	92	74	82	72	86	59	25	51	48	82	25	77	83	64	50	0	0	36	1	1,006,250$
18	Michael Stone				X	100.00	81	45	85	76	79	69	54	52	25	51	48	76	25	68	69	61	50	0	0	30	1	1,000,000$
19	Tyler Myers				X	100.00	80	56	79	81	89	83	91	69	25	56	50	79	53	75	77	66	46	0	0	30	1	1,000,000$
Rayé
1	Andrew Cogliano		X	X		HO	78	43	86	91	63	62	90	61	41	63	56	80	72	86	89	67	40	0	0	33	1	1,000,000$
2	JC Lipon			X		100.00	64	67	56	66	67	74	78	59	50	56	58	59	55	47	47	60	50	0	0	26	4	700,000$
3	Daniel Carr		X	X		100.00	73	43	88	78	70	56	75	53	25	50	59	57	75	59	59	61	17	0	0	28	2	750,000$
4	Rasmus Kupari (R)	X				100.00	75	69	89	65	69	55	56	53	66	43	58	62	55	44	44	59	50	0	0	20	3	1,081,667$
5	Scott Harrington				X	100.00	77	44	87	70	76	63	73	59	25	53	48	72	25	60	61	60	50	0	0	27	2	675,000$
6	Conor Timmins (R)				X	100.00	71	69	74	65	69	49	47	57	25	58	41	61	39	44	44	55	50	0	0	21	3	925,000$

	MOYENNE D'ÉQUIPE					100.00	75	57	80	75	74	65	75	60	44	57	57	72	46	64	65	64	44	0

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Matt Murray	100.00	61	77	74	74	61	61	69	63	64	61	82	59	60	65	50	0	0
2	Eric Comrie	100.00	62	65	81	65	62	67	57	66	64	63	30	44	44	63	50	0	0
Rayé
1	Keith Kinkaid	100.00	51	62	78	79	47	51	50	56	48	48	30	60	60	52	50	0	0

	MOYENNE D'ÉQUIPE	100.00	58	68	78	73	57	60	59	62	59	57	47	54	55	60	50	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Alain Vigneault	78	76	79	83	87	81	59	CAN	61	3	3,500,000$

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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	EG	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Mattias Janmark	Moose (WPG)	C/LW	50	18	17	35	15	10	0	11	103	76	23	58	23.68%	11	1063	21.26	4	9	13	17	184	1	0	1	4	225	2	5	46.86%	1020	0	0.66	5	11	0	0	0	4	3	2
2	Antoine Roussel	Moose (WPG)	LW	49	15	9	24	11	55	5	96	48	80	27	53	18.75%	3	1040	21.23	5	4	9	16	197	0	0	0	4	226	2	0	42.45%	139	0	0.46	3	10	0	0	1	3	2	3
3	Erik Gudbranson	Moose (WPG)	D	50	11	11	22	6	127	15	108	44	76	14	38	14.47%	43	1027	20.54	9	5	14	52	206	0	0	0	2	207	4	2	0.00%	0	0	0.43	0	2	2	0	1	3	1	2
4	Johnny Boychuk	Moose (WPG)	D	50	6	14	20	8	58	0	51	38	49	21	21	12.24%	39	1064	21.29	3	4	7	36	219	0	1	1	0	240	1	0	0.00%	0	0	0.38	0	0	0	0	0	0	2	3
5	Dryden Hunt	Moose (WPG)	LW/RW	50	9	11	20	6	89	5	79	48	52	18	46	17.31%	3	744	14.88	2	5	7	15	140	0	0	0	0	9	2	2	35.00%	40	0	0.54	0	1	0	1	0	2	1	5
6	Dmitry Kulikov	Moose (WPG)	D	50	2	17	19	7	44	0	41	40	40	9	21	5.00%	36	1032	20.64	2	5	7	30	182	0	0	0	0	208	1	0	0.00%	0	0	0.37	0	0	0	0	0	0	1	1
7	Markus Granlund	Moose (WPG)	C/LW/RW	50	2	17	19	9	18	0	18	62	75	16	46	2.67%	7	837	16.76	1	6	7	20	167	0	0	0	3	108	0	0	48.26%	201	0	0.45	2	8	0	0	0	0	1	1
8	Tyler Myers	Moose (WPG)	D	49	5	12	17	6	51	5	88	63	52	24	45	9.62%	33	1171	23.91	3	3	6	38	226	0	0	0	1	252	0	1	0.00%	0	0	0.29	0	0	0	0	1	1	3	3
9	Jason Spezza	Moose (WPG)	C/RW	30	6	10	16	2	8	0	6	45	51	9	47	11.76%	1	611	20.39	2	5	7	10	125	1	0	1	1	131	1	0	67.95%	234	0	0.52	0	3	0	0	0	1	2	0
10	Joel L'Esperance	Moose (WPG)	C/RW	50	3	12	15	5	37	5	50	73	64	18	65	4.69%	4	911	18.23	1	3	4	15	147	0	0	0	1	119	1	0	59.89%	551	1	0.33	1	2	0	1	0	1	0	2
11	Brandon Sutter	Moose (WPG)	C/RW	9	8	6	14	7	7	5	6	27	27	7	11	29.63%	3	191	21.25	3	1	4	6	30	0	1	1	0	43	0	3	66.84%	187	0	1.46	1	1	0	0	1	4	1	1
12	Mason Appleton	Moose (WPG)	C/RW	50	6	7	13	-5	8	0	4	68	71	18	39	8.45%	1	688	13.78	0	4	4	10	100	0	0	0	0	17	1	0	41.09%	202	0	0.38	0	0	0	0	0	1	0	1
13	Brendan Smith	Moose (WPG)	LW/D	50	1	9	10	12	104	10	80	28	20	5	12	5.00%	17	674	13.48	0	0	0	2	16	0	1	1	0	79	0	0	40.00%	5	0	0.30	0	0	0	2	0	0	1	1
14	Michael Stone	Moose (WPG)	D	42	1	9	10	13	42	0	35	29	4	3	7	25.00%	25	574	13.68	1	0	1	2	9	0	1	1	0	66	1	0	0.00%	0	0	0.35	0	0	0	0	0	0	1	1
15	Brad Richardson	Moose (WPG)	C/LW	12	4	4	8	4	6	0	18	29	19	6	8	21.05%	0	245	20.46	0	2	2	4	48	1	0	1	1	48	3	0	67.42%	221	0	0.65	1	2	0	0	0	1	2	0
16	Zack MacEwen	Moose (WPG)	C/RW	50	6	1	7	4	105	35	86	22	54	11	34	11.11%	2	665	13.32	0	1	1	11	89	0	0	0	0	14	2	3	42.16%	204	0	0.21	0	1	3	1	3	3	1	1
17	Jujhar Khaira	Moose (WPG)	C/LW	9	2	4	6	3	10	0	15	24	9	5	7	22.22%	0	137	15.32	0	2	2	2	19	0	0	0	1	7	0	0	52.53%	99	0	0.87	0	0	0	0	0	1	1	0
18	Chase De Leo	Moose (WPG)	C	50	1	5	6	-1	10	0	17	24	27	6	16	3.70%	5	392	7.85	0	0	0	2	24	0	0	0	0	32	0	0	56.25%	176	0	0.31	0	0	0	0	0	0	0	0
19	JC Lipon	Moose (WPG)	RW	28	2	3	5	0	14	0	24	14	26	10	11	7.69%	1	378	13.51	0	0	0	1	7	0	0	0	1	34	2	0	48.84%	43	0	0.26	0	0	0	0	0	0	2	0
20	Scott Harrington	Moose (WPG)	D	47	1	3	4	-1	20	0	16	14	3	1	3	33.33%	8	408	8.68	0	0	0	0	8	0	0	0	0	43	0	0	100.00%	1	0	0.20	0	0	0	0	0	0	1	0
21	Daniel Carr	Moose (WPG)	LW/RW	17	1	2	3	1	2	0	6	6	12	1	6	8.33%	0	223	13.15	1	1	2	3	22	0	0	0	0	6	0	0	35.29%	17	0	0.27	0	0	0	0	0	1	0	0
22	Conor Timmins	Moose (WPG)	D	15	0	2	2	2	2	0	8	3	0	0	1	0.00%	4	80	5.34	0	0	0	0	0	0	0	0	0	4	0	0	0.00%	0	0	0.50	0	0	0	0	0	0	0	0
23	Rasmus Kupari	Moose (WPG)	C	33	0	2	2	3	2	0	5	5	2	2	2	0.00%	1	129	3.91	0	1	1	0	36	0	0	0	0	22	0	0	52.46%	61	0	0.31	0	0	0	0	0	0	0	0
24	Sami Niku	Moose (WPG)	D	8	0	1	1	-1	0	0	3	3	0	0	0	0.00%	2	61	7.69	0	0	0	0	1	0	0	0	0	6	0	0	0.00%	0	0	0.33	0	0	0	0	0	0	0	0
25	Tyler Motte	Jets	LW/RW	5	1	0	1	-1	20	0	8	6	7	1	3	14.29%	1	95	19.03	0	0	0	3	21	0	0	0	1	15	0	0	25.00%	4	0	0.21	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				903	111	188	299	115	849	85	879	866	896	255	600	12.39%	250	14450	16.00	37	61	98	295	2233	3	4	7	20	2175	23	16	52.69%	3405	1	0.41	13	41	5	5	7	26	26	27

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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	A	PS %	PSA	ST	BG	S1	S2	S3
1	Matt Murray	Moose (WPG)	43	27	11	5	0.897	1.68	2579	4	6	72	698	2	0.687	32	43	7	2	2	4
2	Eric Comrie	Moose (WPG)	1	0	0	0	1.000	0.00	20	0	0	0	10	0	0.000	0	0	33	0	0	0
Stats d'équipe Total ou en Moyenne			44	27	11	5	0.898	1.66	2600	4	6	72	708	2	0.687	32	43	40	2	2	4

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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	Link
Andrew Cogliano	Moose (WPG)	LW/RW	33	1987-06-14	No	177 Lbs	5 ft10	No	No	No	1	Pro & Farm	1,000,000$	387,097$	1,000,000$	387,097$	0$	0$	No				Lien
Antoine Roussel	Moose (WPG)	LW	30	1989-11-20	No	195 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,000,000$	387,097$	1,000,000$	387,097$	0$	0$	No				Lien
Brad Richardson	Moose (WPG)	C/LW	35	1985-02-03	No	190 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,250,000$	483,871$	1,250,000$	483,871$	0$	0$	No				Lien
Brandon Sutter	Moose (WPG)	C/RW	31	1989-02-14	No	191 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,250,001$	483,871$	1,000,000$	387,097$	0$	0$	No				Lien
Brendan Smith	Moose (WPG)	LW/D	31	1989-02-07	No	211 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,000,000$	387,097$	1,000,000$	387,097$	0$	0$	No				Lien
Chase De Leo	Moose (WPG)	C	24	1995-10-25	No	185 Lbs	5 ft9	No	No	No	3	Pro & Farm	650,000$	251,613$	650,000$	251,613$	0$	0$	No	650,000$	650,000$		Lien
Conor Timmins	Moose (WPG)	D	21	1998-09-18	Yes	184 Lbs	6 ft2	No	No	No	3	Pro & Farm	925,000$	358,065$	925,000$	358,065$	0$	0$	No	925,000$	925,000$
Daniel Carr	Moose (WPG)	LW/RW	28	1991-11-01	No	193 Lbs	6 ft0	No	No	No	2	Pro & Farm	750,000$	290,323$	750,000$	290,323$	0$	0$	No	750,000$			Lien
Dmitry Kulikov	Moose (WPG)	D	29	1990-10-29	No	204 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,000,000$	387,097$	1,000,000$	387,097$	0$	0$	No				Lien
Dryden Hunt	Moose (WPG)	LW/RW	24	1995-11-24	No	197 Lbs	6 ft0	No	No	No	2	Pro & Farm	715,000$	276,774$	715,000$	276,774$	0$	0$	No	715,000$			Lien
Eric Comrie	Moose (WPG)	G	24	1995-07-05	No	175 Lbs	6 ft1	No	No	No	3	Pro & Farm	650,000$	251,613$	650,000$	251,613$	0$	0$	No	650,000$	650,000$		Lien
Erik Gudbranson	Moose (WPG)	D	28	1992-01-07	No	220 Lbs	6 ft5	No	No	No	1	Pro & Farm	1,062,500$	411,290$	1,000,000$	387,097$	0$	0$	No				Lien
JC Lipon	Moose (WPG)	RW	26	1993-07-10	No	183 Lbs	6 ft0	No	No	No	4	Pro & Farm	700,000$	270,968$	700,000$	270,968$	0$	0$	No	700,000$	700,000$	700,000$	Lien
Jason Spezza	Moose (WPG)	C/RW	37	1983-06-13	No	214 Lbs	6 ft3	No	No	No	3	Pro & Farm	1,950,000$	754,839$	700,000$	270,968$	0$	0$	No	700,000$	700,000$		Lien
Joel L'Esperance	Moose (WPG)	C/RW	24	1995-08-18	No	201 Lbs	6 ft2	No	No	No	2	Pro & Farm	722,500$	279,677$	722,500$	279,677$	0$	0$	No	722,500$			Lien
Johnny Boychuk	Moose (WPG)	D	36	1984-01-19	No	227 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,006,250$	389,516$	1,000,000$	387,097$	0$	0$	No				Lien
Jujhar Khaira	Moose (WPG)	C/LW	25	1994-08-13	No	214 Lbs	6 ft4	No	No	No	1	Pro & Farm	1,200,000$	464,516$	1,200,000$	464,516$	0$	0$	No				Lien
Keith Kinkaid	Moose (WPG)	G	30	1989-07-03	No	195 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,250,000$	483,871$	1,250,000$	483,871$	0$	0$	No				Lien
Markus Granlund	Moose (WPG)	C/LW/RW	27	1993-04-15	No	183 Lbs	6 ft0	No	No	No	1	Pro & Farm	900,000$	348,387$	900,000$	348,387$	0$	0$	No				Lien
Mason Appleton	Moose (WPG)	C/RW	24	1996-01-15	No	193 Lbs	6 ft2	No	No	No	2	Pro & Farm	758,333$	293,548$	758,333$	293,548$	0$	0$	No	758,333$			Lien
Matt Murray	Moose (WPG)	G	26	1994-05-25	No	178 Lbs	6 ft4	No	No	No	3	Pro & Farm	3,800,000$	1,470,968$	3,750,000$	1,451,613$	0$	0$	No	3,750,000$	3,750,000$		Lien
Mattias Janmark	Moose (WPG)	C/LW	27	1992-12-08	No	196 Lbs	6 ft1	No	No	No	2	Pro & Farm	800,000$	309,677$	800,000$	309,677$	0$	0$	No	800,000$			Lien
Michael Stone	Moose (WPG)	D	30	1990-06-06	No	210 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,000,000$	387,097$	1,000,000$	387,097$	0$	0$	No				Lien
Rasmus Kupari	Moose (WPG)	C	20	2000-03-15	Yes	185 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,081,667$	418,710$	1,081,667$	418,710$	0$	0$	No	1,081,667$	1,081,667$
Sami Niku	Moose (WPG)	D	23	1996-10-10	No	176 Lbs	6 ft1	No	No	No	1	Pro & Farm	916,666$	354,838$	450,000$	174,194$	0$	0$	No				Lien
Scott Harrington	Moose (WPG)	D	27	1993-03-10	No	207 Lbs	6 ft2	No	No	No	2	Pro & Farm	675,000$	261,290$	675,000$	261,290$	0$	0$	No	675,000$			Lien
Tyler Myers	Moose (WPG)	D	30	1990-01-31	No	229 Lbs	6 ft8	No	No	No	1	Pro & Farm	1,000,000$	387,097$	1,000,000$	387,097$	0$	0$	No				Lien
Zack MacEwen	Moose (WPG)	C/RW	23	1996-07-08	No	205 Lbs	6 ft3	No	No	No	3	Pro & Farm	1,995,833$	772,581$	1,329,166$	514,516$	0$	0$	No	995,833$	995,833$		Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
28	27.61	197 Lbs	6 ft2	1.82	1,107,455$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brad Richardson	Brandon Sutter	Jason Spezza	35	1	2	2
2	Antoine Roussel	Mattias Janmark	Markus Granlund	30	1	2	2
3	Dryden Hunt	Jujhar Khaira	Joel L'Esperance	25	1	2	2
4	Brandon Sutter	Zack MacEwen	Mason Appleton	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tyler Myers	Johnny Boychuk	35	1	2	2
2	Erik Gudbranson	Dmitry Kulikov	30	1	2	2
3	Michael Stone	Brendan Smith	25	1	2	2
4	Sami Niku	Tyler Myers	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brad Richardson	Brandon Sutter	Jason Spezza	60	1	2	2
2	Antoine Roussel	Mattias Janmark	Markus Granlund	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tyler Myers	Johnny Boychuk	60	1	2	2
2	Erik Gudbranson	Dmitry Kulikov	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Brandon Sutter	Jason Spezza	60	1	2	2
2	Brad Richardson	Antoine Roussel	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tyler Myers	Johnny Boychuk	60	1	2	2
2	Erik Gudbranson	Dmitry Kulikov	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Brandon Sutter	60	1	2	2	Tyler Myers	Johnny Boychuk	60	1	2	2
2	Jason Spezza	40	1	2	2	Erik Gudbranson	Dmitry Kulikov	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Brandon Sutter	Jason Spezza	60	1	2	2
2	Brad Richardson	Antoine Roussel	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tyler Myers	Johnny Boychuk	60	1	2	2
2	Erik Gudbranson	Dmitry Kulikov	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Brad Richardson	Brandon Sutter	Jason Spezza	Tyler Myers	Johnny Boychuk

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Brad Richardson	Brandon Sutter	Jason Spezza	Tyler Myers	Johnny Boychuk

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Chase De Leo, Jujhar Khaira, Joel L'Esperance	Chase De Leo, Jujhar Khaira	Joel L'Esperance

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Brendan Smith, Sami Niku, Dmitry Kulikov	Brendan Smith	Michael Stone, Sami Niku

Tirs de Pénalité
Brandon Sutter, Jason Spezza, Brad Richardson, Antoine Roussel, Mattias Janmark

Gardien
#1 : Matt Murray, #2 : Eric Comrie

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	Admirals	5	2	2	0	0	0	1	0	11	9	2	3	0	2	0	0	0	1	0	6	7	-1	2	2	0	0	0	0	0	0	5	2	3	6	0.600	11	19	30	0	1	35	38	38	15	87	309	287	280	63	86	26	122	86	30	2	6.67%	29	2	93.10%	0	758	1383	54.81%	706	1351	52.26%	341	688	49.56%	1280	876	1143	376	634	330
2	Bruins	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	6	9	0	0	35	38	38	15	16	309	287	280	63	13	2	45	17	7	1	14.29%	8	0	100.00%	0	758	1383	54.81%	706	1351	52.26%	341	688	49.56%	1280	876	1143	376	634	330
3	Condors	6	3	3	0	0	0	0	0	11	9	2	4	1	3	0	0	0	0	0	5	7	-2	2	2	0	0	0	0	0	0	6	2	4	6	0.500	11	16	27	0	1	35	38	38	15	107	309	287	280	63	75	26	105	90	40	7	17.50%	46	5	89.13%	0	758	1383	54.81%	706	1351	52.26%	341	688	49.56%	1280	876	1143	376	634	330
4	Crunch	2	1	0	0	0	0	1	0	7	4	3	1	1	0	0	0	0	0	0	3	1	2	1	0	0	0	0	0	1	0	4	3	1	4	1.000	7	11	18	0	0	35	38	38	15	36	309	287	280	63	50	15	48	33	10	2	20.00%	24	1	95.83%	0	758	1383	54.81%	706	1351	52.26%	341	688	49.56%	1280	876	1143	376	634	330
5	Flames	7	2	2	0	0	0	2	1	13	12	1	4	1	1	0	0	0	2	0	9	6	3	3	1	1	0	0	0	0	1	4	6	-2	9	0.643	13	18	31	0	0	35	38	38	15	115	309	287	280	63	133	49	112	141	34	3	8.82%	54	7	87.04%	0	758	1383	54.81%	706	1351	52.26%	341	688	49.56%	1280	876	1143	376	634	330
6	Griffins	1	1	0	0	0	0	0	0	2	0	2	1	1	0	0	0	0	0	0	2	0	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	4	6	0	1	35	38	38	15	22	309	287	280	63	10	4	2	16	9	2	22.22%	1	0	100.00%	0	758	1383	54.81%	706	1351	52.26%	341	688	49.56%	1280	876	1143	376	634	330
7	IceHogs	1	0	0	0	0	0	0	1	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	3	4	-1	1	0.500	3	6	9	0	0	35	38	38	15	14	309	287	280	63	19	4	16	19	5	3	60.00%	8	1	87.50%	0	758	1383	54.81%	706	1351	52.26%	341	688	49.56%	1280	876	1143	376	634	330
8	Marlies	1	0	0	0	0	0	0	1	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	3	4	-1	1	0.500	3	6	9	0	0	35	38	38	15	25	309	287	280	63	21	3	12	25	5	0	0.00%	6	2	66.67%	0	758	1383	54.81%	706	1351	52.26%	341	688	49.56%	1280	876	1143	376	634	330
9	Monarchs	6	4	1	0	0	0	1	0	12	8	4	2	1	1	0	0	0	0	0	3	4	-1	4	3	0	0	0	0	1	0	9	4	5	10	0.833	12	17	29	0	1	35	38	38	15	115	309	287	280	63	82	25	83	99	42	4	9.52%	36	3	91.67%	1	758	1383	54.81%	706	1351	52.26%	341	688	49.56%	1280	876	1143	376	634	330
10	Monsters	1	0	0	0	0	0	1	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	3	2	1	2	1.000	3	3	6	0	0	35	38	38	15	19	309	287	280	63	13	6	35	11	3	0	0.00%	3	0	100.00%	0	758	1383	54.81%	706	1351	52.26%	341	688	49.56%	1280	876	1143	376	634	330
11	Penguins	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	2	3	0	0	35	38	38	15	19	309	287	280	63	13	6	14	21	11	1	9.09%	6	1	83.33%	0	758	1383	54.81%	706	1351	52.26%	341	688	49.56%	1280	876	1143	376	634	330
12	Rampage	2	1	0	0	0	0	0	1	6	4	2	0	0	0	0	0	0	0	0	0	0	0	2	1	0	0	0	0	0	1	6	4	2	3	0.750	6	10	16	0	0	35	38	38	15	44	309	287	280	63	52	23	26	39	9	0	0.00%	12	1	91.67%	1	758	1383	54.81%	706	1351	52.26%	341	688	49.56%	1280	876	1143	376	634	330
13	Senators	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	1	4	2	1.000	5	9	14	0	0	35	38	38	15	27	309	287	280	63	21	5	16	19	5	1	20.00%	7	0	100.00%	0	758	1383	54.81%	706	1351	52.26%	341	688	49.56%	1280	876	1143	376	634	330
14	Sharks	7	3	3	0	0	0	0	1	13	16	-3	4	2	1	0	0	0	0	1	7	8	-1	3	1	2	0	0	0	0	0	6	8	-2	7	0.500	13	24	37	0	0	35	38	38	15	112	309	287	280	63	112	27	106	109	29	4	13.79%	47	7	85.11%	0	758	1383	54.81%	706	1351	52.26%	341	688	49.56%	1280	876	1143	376	634	330
15	Soldiers	2	2	0	0	0	0	0	0	12	0	12	2	2	0	0	0	0	0	0	12	0	12	0	0	0	0	0	0	0	0	0	0	0	4	1.000	12	20	32	0	2	35	38	38	15	48	309	287	280	63	26	2	25	40	14	3	21.43%	10	0	100.00%	0	758	1383	54.81%	706	1351	52.26%	341	688	49.56%	1280	876	1143	376	634	330
16	Sound Tigers	2	0	2	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	3	6	9	0	0	35	38	38	15	25	309	287	280	63	46	7	34	49	9	0	0.00%	17	1	94.12%	1	758	1383	54.81%	706	1351	52.26%	341	688	49.56%	1280	876	1143	376	634	330
17	Stars	3	2	1	0	0	0	0	0	7	6	1	2	2	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	2	3	-1	4	0.667	7	11	18	0	0	35	38	38	15	49	309	287	280	63	49	19	40	65	14	3	21.43%	18	2	88.89%	0	758	1383	54.81%	706	1351	52.26%	341	688	49.56%	1280	876	1143	376	634	330
	Total	50	23	15	0	1	0	6	5	118	91	27	24	11	9	0	0	0	3	1	53	38	15	26	12	6	0	1	0	3	4	65	53	12	65	0.650	118	192	310	0	6	35	38	38	15	896	309	287	280	63	839	254	855	891	283	36	12.72%	339	35	89.68%	3	758	1383	54.81%	706	1351	52.26%	341	688	49.56%	1280	876	1143	376	634	330
18	Wolves	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	3	2	1	2	1.000	3	4	7	0	0	35	38	38	15	16	309	287	280	63	18	5	14	12	7	0	0.00%	7	2	71.43%	0	758	1383	54.81%	706	1351	52.26%	341	688	49.56%	1280	876	1143	376	634	330
	_Since Last GM Reset	50	23	15	0	1	0	6	5	118	91	27	24	11	9	0	0	0	3	1	53	38	15	26	12	6	0	1	0	3	4	65	53	12	65	0.650	118	192	310	0	6	35	38	38	15	896	309	287	280	63	839	254	855	891	283	36	12.72%	339	35	89.68%	3	758	1383	54.81%	706	1351	52.26%	341	688	49.56%	1280	876	1143	376	634	330
	_Vs Conference	36	18	12	0	1	0	2	3	83	64	19	19	9	8	0	0	0	1	1	41	31	10	17	9	4	0	1	0	1	2	42	33	9	45	0.625	83	137	220	0	6	35	38	38	15	639	309	287	280	63	575	168	573	624	208	28	13.46%	231	24	89.61%	3	758	1383	54.81%	706	1351	52.26%	341	688	49.56%	1280	876	1143	376	634	330
	_Vs Division	31	12	11	0	0	0	2	1	60	54	6	17	4	8	0	0	0	1	1	30	32	-2	14	8	3	0	0	0	1	0	30	22	8	29	0.468	60	94	154	0	3	35	38	38	15	536	309	287	280	63	488	153	528	525	175	20	11.43%	212	24	88.68%	1	758	1383	54.81%	706	1351	52.26%	341	688	49.56%	1280	876	1143	376	634	330

			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
50	65	W9	118	192	310	896	839	254	855	891	0	6

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
50	23	15	1	0	6	5	118	91

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
24	11	9	0	0	3	1	53	38

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
26	12	6	1	0	3	4	65	53

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
9	1	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
283	36	12.72%	339	35	89.68%	3

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
309	287	280	63	35	38	38	15

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
758	1383	54.81%	706	1351	52.26%	341	688	49.56%

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
1280	876	1143	376	634	330

Derniers Match Joués Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	SO	Lien
1 - 2020-09-27	2	Flames	1	Moose	2	W	X	X	Sommaire du Match
2 - 2020-09-28	20	Moose	4	Condors	2	W			Sommaire du Match
4 - 2020-09-30	33	Monarchs	2	Moose	3	W			Sommaire du Match
5 - 2020-10-01	41	Moose	2	Sharks	4	L			Sommaire du Match
6 - 2020-10-02	52	Admirals	3	Moose	4	W	X	X	Sommaire du Match
8 - 2020-10-04	62	Admirals	2	Moose	1	L			Sommaire du Match
10 - 2020-10-06	72	Moose	0	Sharks	1	L			Sommaire du Match
12 - 2020-10-08	79	Moose	3	Admirals	2	W			Sommaire du Match
14 - 2020-10-10	92	Condors	2	Moose	1	L			Sommaire du Match
17 - 2020-10-13	107	Moose	2	Admirals	0	W			Sommaire du Match
18 - 2020-10-14	115	Sharks	3	Moose	1	L			Sommaire du Match
20 - 2020-10-16	127	Moose	2	Monarchs	1	W			Sommaire du Match
22 - 2020-10-18	144	Condors	2	Moose	0	L			Sommaire du Match
23 - 2020-10-19	147	Moose	1	Flames	3	L			Sommaire du Match
24 - 2020-10-20	160	Flames	2	Moose	3	W	X	X	Sommaire du Match
25 - 2020-10-21	171	Moose	2	Stars	3	L			Sommaire du Match
26 - 2020-10-22	179	Moose	1	Monarchs	0	W			Sommaire du Match
28 - 2020-10-24	187	Soldiers	0	Moose	5	W			Sommaire du Match
30 - 2020-10-26	199	Moose	3	IceHogs	4	L	X	X	Sommaire du Match
32 - 2020-10-28	213	Condors	2	Moose	1	L			Sommaire du Match
34 - 2020-10-30	225	Moose	2	Sound Tigers	4	L			Sommaire du Match
36 - 2020-11-01	236	Moose	3	Marlies	4	L	X	X	Sommaire du Match
38 - 2020-11-03	243	Stars	1	Moose	2	W			Sommaire du Match
40 - 2020-11-05	257	Moose	1	Rampage	2	L	X	X	Sommaire du Match
42 - 2020-11-07	264	Griffins	0	Moose	2	W			Sommaire du Match
44 - 2020-11-09	276	Stars	2	Moose	3	W			Sommaire du Match
45 - 2020-11-10	291	Moose	1	Penguins	2	L			Sommaire du Match
46 - 2020-11-11	296	Moose	3	Wolves	2	W	X		Sommaire du Match
47 - 2020-11-12	305	Admirals	2	Moose	1	L			Sommaire du Match
49 - 2020-11-14	321	Moose	5	Senators	1	W			Sommaire du Match
50 - 2020-11-15	328	Crunch	1	Moose	3	W			Sommaire du Match
51 - 2020-11-16	339	Sound Tigers	2	Moose	1	L			Sommaire du Match
53 - 2020-11-18	354	Moose	4	Crunch	3	W	X	X	Sommaire du Match
54 - 2020-11-19	365	Moose	4	Sharks	3	W			Sommaire du Match
55 - 2020-11-20	372	Sharks	2	Moose	1	L	X	X	Sommaire du Match
56 - 2020-11-21	382	Moose	2	Monarchs	1	W	X	X	Sommaire du Match
57 - 2020-11-22	394	Flames	2	Moose	1	L			Sommaire du Match
58 - 2020-11-23	406	Flames	1	Moose	3	W			Sommaire du Match
60 - 2020-11-25	416	Moose	1	Flames	2	L	X	X	Sommaire du Match
61 - 2020-11-26	425	Moose	2	Condors	0	W			Sommaire du Match
63 - 2020-11-28	438	Monarchs	2	Moose	0	L			Sommaire du Match
65 - 2020-11-30	452	Soldiers	0	Moose	7	W			Sommaire du Match
66 - 2020-12-01	464	Moose	3	Monsters	2	W	X	X	Sommaire du Match
67 - 2020-12-02	474	Moose	5	Rampage	2	W			Sommaire du Match
68 - 2020-12-03	481	Condors	1	Moose	3	W			Sommaire du Match
70 - 2020-12-05	496	Sharks	2	Moose	3	W			Sommaire du Match
71 - 2020-12-06	507	Sharks	1	Moose	2	W			Sommaire du Match
73 - 2020-12-08	520	Moose	3	Bruins	2	W			Sommaire du Match
75 - 2020-12-10	531	Moose	2	Flames	1	W			Sommaire du Match
76 - 2020-12-11	540	Moose	4	Monarchs	2	W			Sommaire du Match
77 - 2020-12-12	548	Moose	-	Flames	-
78 - 2020-12-13	553	Wolf Pack	-	Moose	-
79 - 2020-12-14	567	Monsters	-	Moose	-
81 - 2020-12-16	580	Moose	-	Griffins	-
82 - 2020-12-17	588	Admirals	-	Moose	-
84 - 2020-12-19	602	Phantoms	-	Moose	-
86 - 2020-12-21	612	Moose	-	Senators	-
87 - 2020-12-22	625	Moose	-	Admirals	-
88 - 2020-12-23	635	Senators	-	Moose	-
91 - 2020-12-26	647	Moose	-	Wolves	-
92 - 2020-12-27	657	Rampage	-	Moose	-
93 - 2020-12-28	666	Moose	-	Phantoms	-
94 - 2020-12-29	678	Marlies	-	Moose	-
96 - 2020-12-31	694	Moose	-	Wolf Pack	-
97 - 2021-01-01	702	Monarchs	-	Moose	-
98 - 2021-01-02	716	Moose	-	Stars	-
99 - 2021-01-03	723	Wolves	-	Moose	-
101 - 2021-01-05	736	Moose	-	IceHogs	-
102 - 2021-01-06	743	Moose	-	Rocket	-
103 - 2021-01-07	751	Bruins	-	Moose	-
105 - 2021-01-09	768	IceHogs	-	Moose	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
106 - 2021-01-10	782	Sound Tigers	-	Moose	-
108 - 2021-01-12	795	Moose	-	Soldiers	-
109 - 2021-01-13	807	Crunch	-	Moose	-
111 - 2021-01-15	820	Monarchs	-	Moose	-
113 - 2021-01-17	835	Moose	-	Sharks	-
114 - 2021-01-18	842	Moose	-	Condors	-
115 - 2021-01-19	846	Stars	-	Moose	-
117 - 2021-01-21	865	Penguins	-	Moose	-
118 - 2021-01-22	873	Moose	-	Admirals	-
120 - 2021-01-24	884	Moose	-	Condors	-
122 - 2021-01-26	899	Rocket	-	Moose	-

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
17	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
3,796,863$	3,000,875$	2,725,667$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	1,651,701$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	48	52,426$	2,516,448$

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