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	Andrew Cogliano		X	X		100.00	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	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$
3	Blake Comeau		X	X		100.00	84	45	81	78	74	68	83	61	45	62	68	86	75	82	84	72	78	0	0	34	1	2,400,000$
4	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$
5	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$
6	Brandon Tanev		X	X		100.00	99	47	91	81	67	68	91	61	36	66	70	87	75	65	67	75	79	0	0	28	2	1,150,000$
7	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$
8	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$
9	Kyle Turris	X				100.00	61	41	89	82	71	70	76	76	75	77	68	64	66	76	79	70	12	0	0	30	1	1,000,000$
10	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$
11	Pat Maroon		X	X		100.00	81	93	70	74	86	62	86	71	56	67	66	62	25	72	76	68	34	0	0	32	1	1,000,000$
12	Travis Zajac	X				100.00	71	43	87	77	70	75	92	64	94	68	64	87	47	84	87	72	78	0	0	35	1	1,250,001$
13	Ivan Barbashev	X	X			100.00	86	45	89	82	68	65	92	59	59	67	70	82	25	64	66	73	40	0	0	24	2	863,333$
14	Tyler Motte		X	X		100.00	99	46	90	74	65	64	71	57	39	61	62	89	25	59	59	70	55	0	0	25	2	925,000$
15	Brayden McNabb				X	100.00	93	47	83	76	80	80	93	59	25	49	48	91	25	71	73	66	31	0	0	29	1	1,700,000$
16	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$
17	Marc Staal				X	100.00	78	45	90	78	78	72	83	58	25	52	48	87	25	81	86	64	73	0	0	33	1	2,000,000$
18	Rasmus Dahlin				X	100.00	77	44	81	88	71	78	88	89	25	82	52	72	75	59	59	67	75	0	0	20	2	3,775,000$
19	Esa Lindell				X	100.00	78	45	94	85	79	88	93	65	25	63	48	99	25	65	66	69	62	0	0	26	2	2,200,000$
20	Shayne Gostisbehere				X	100.00	61	41	85	86	66	75	78	80	25	52	53	61	45	65	66	63	48	0	0	27	1	1,000,000$
Rayé
1	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$
2	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$
3	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$
4	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$
5	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$
6	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$
7	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$
8	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$
9	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$
10	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	76	53	82	77	72	67	78	63	45	60	58	75	48	67	68	66	49	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	Anders Nilsson	100.00	69	59	59	95	72	66	62	70	78	70	83	59	59	69	75	0	0
2	Jonathan Quick	100.00	71	77	77	80	72	70	65	74	73	71	95	76	81	72	18	0	0
Rayé
1	Keith Kinkaid	100.00	51	62	78	79	47	51	50	56	48	48	30	60	60	52	44	0	0
2	Eric Comrie	100.00	62	65	81	65	62	67	57	66	64	63	30	44	44	63	52	0	0

	MOYENNE D'ÉQUIPE	100.00	63	66	74	80	63	64	59	67	66	63	60	60	61	64	47	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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	P/20	S1	S2	S3
1	Andrew Cogliano	Moose (WPG)	LW/RW	12	3	7	10	3	8	25	14	15	5	14	20.00%	1	278	23.17	2	2	4	5	67	1	0	1	1	69	2	0	20.00%	15	0.72	1	2	0
2	Brandon Sutter	Moose (WPG)	C/RW	12	6	2	8	-1	0	1	20	33	12	18	18.18%	2	222	18.57	2	2	4	14	65	0	0	0	0	15	0	1	48.39%	62	0.72	1	2	1
3	Brad Richardson	Moose (WPG)	C/LW	12	2	5	7	5	8	8	23	14	2	15	14.29%	2	161	13.42	0	0	0	0	0	0	0	0	0	23	1	1	65.32%	124	0.87	0	1	0
4	Antoine Roussel	Moose (WPG)	LW	12	3	3	6	5	16	10	6	12	2	6	25.00%	0	141	11.80	0	0	0	0	2	0	0	0	1	15	0	0	33.33%	6	0.85	1	1	0
5	Brayden McNabb	Moose (WPG)	D	10	0	6	6	7	22	15	8	7	1	6	0.00%	10	241	24.14	0	3	3	6	54	0	0	0	0	44	0	0	0.00%	0	0.50	0	1	0
6	Erik Gudbranson	Moose (WPG)	D	12	0	6	6	10	12	19	6	7	2	4	0.00%	6	227	18.99	0	1	1	3	21	0	0	0	0	25	0	0	0.00%	0	0.53	0	0	0
7	Kyle Turris	Moose (WPG)	C	12	2	4	6	4	0	4	29	17	5	14	11.76%	0	295	24.59	1	1	2	6	68	0	0	0	1	82	0	0	56.57%	373	0.41	0	0	1
8	Pat Maroon	Moose (WPG)	LW/RW	12	2	3	5	1	20	38	6	12	1	12	16.67%	0	193	16.13	0	1	1	5	51	0	0	0	0	0	0	1	30.77%	13	0.52	0	0	0
9	Ivan Barbashev	Moose (WPG)	C/LW	9	1	4	5	1	8	18	12	16	3	13	6.25%	1	178	19.78	0	1	1	2	38	0	0	0	2	26	1	0	34.38%	32	0.56	1	0	0
10	Dmitry Kulikov	Jets	D	10	3	1	4	9	4	10	9	10	1	1	30.00%	5	216	21.63	1	0	1	6	19	0	0	0	0	43	0	1	0.00%	0	0.37	0	0	1
11	Jason Spezza	Moose (WPG)	C/RW	12	2	2	4	4	4	6	14	15	4	8	13.33%	0	232	19.33	0	0	0	2	52	0	0	0	0	40	0	0	60.71%	140	0.34	0	0	2
12	Marc Staal	Moose (WPG)	D	12	2	2	4	5	8	14	11	12	3	5	16.67%	13	312	26.01	1	0	1	10	65	0	0	0	0	64	1	0	0.00%	0	0.26	1	0	1
13	Markus Granlund	Moose (WPG)	C/LW/RW	12	1	3	4	5	2	4	11	11	3	3	9.09%	2	124	10.36	0	0	0	0	1	0	0	0	0	0	0	0	50.00%	6	0.64	1	0	0
14	Mattias Janmark	Moose (WPG)	C/LW	12	1	2	3	1	6	6	7	3	3	6	33.33%	1	125	10.49	0	0	0	0	0	0	0	0	0	2	1	0	34.55%	55	0.48	1	0	0
15	Jujhar Khaira	Jets	C/LW	10	1	2	3	2	18	16	7	6	3	4	16.67%	0	85	8.56	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	3	0.70	0	0	0
16	Johnny Boychuk	Jets	D	10	0	2	2	-1	16	32	5	5	1	7	0.00%	9	249	25.00	0	1	1	3	52	0	1	1	0	54	0	0	0.00%	0	0.16	0	0	0
17	Joel L'Esperance	Jets	C/RW	10	2	0	2	2	8	6	8	7	2	6	28.57%	0	90	9.10	0	0	0	0	5	0	0	0	0	0	1	1	50.00%	6	0.44	0	1	0
18	Tyler Motte	Moose (WPG)	LW/RW	5	0	2	2	0	10	8	8	10	0	4	0.00%	0	62	12.51	0	1	1	1	14	0	0	0	0	0	0	0	20.00%	5	0.64	0	0	0
19	Blake Comeau	Moose (WPG)	LW/RW	2	1	0	1	0	2	3	2	3	0	2	33.33%	0	43	21.86	0	0	0	0	14	0	0	0	1	6	1	0	50.00%	8	0.46	0	0	0
20	Brandon Tanev	Moose (WPG)	LW/RW	2	0	1	1	0	0	11	2	4	0	2	0.00%	1	40	20.15	0	0	0	2	14	0	0	0	0	3	0	0	16.67%	6	0.50	0	0	0
21	Shayne Gostisbehere	Moose (WPG)	D	12	0	1	1	-2	4	2	7	11	3	4	0.00%	2	258	21.54	0	0	0	9	42	0	0	0	1	46	0	0	0.00%	0	0.08	0	0	0
22	Michael Stone	Moose (WPG)	D	1	0	0	0	0	0	0	1	0	0	0	0.00%	0	2	2.37	0	0	0	0	1	0	0	0	0	1	0	0	0.00%	0	0.00	0	0	0
23	Mason Appleton	Jets	C/RW	10	0	0	0	-1	0	0	0	0	0	6	0.00%	0	30	3.01	0	0	0	0	10	0	0	0	0	0	0	0	35.00%	20	0.00	0	0	0
24	Rasmus Dahlin	Moose (WPG)	D	2	0	0	0	-2	2	4	3	0	1	0	0.00%	0	50	25.18	0	0	0	0	14	0	0	0	0	6	0	0	0.00%	0	0.00	0	0	0
25	Travis Zajac	Moose (WPG)	C	2	0	0	0	-1	0	1	11	1	1	1	0.00%	0	40	20.00	0	0	0	1	14	0	0	0	0	3	0	0	63.41%	41	0.00	0	0	0
26	Esa Lindell	Moose (WPG)	D	2	0	0	0	-2	4	1	1	2	0	2	0.00%	0	50	25.08	0	0	0	2	14	0	0	0	0	6	0	0	0.00%	0	0.00	0	0	0
27	Jayce Hawryluk	Jets	C/RW	10	0	0	0	0	0	3	0	1	0	1	0.00%	0	10	1.00	0	0	0	0	7	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				239	32	58	90	54	182	265	231	234	58	164	13.68%	55	3964	16.59	7	13	20	77	716	1	1	2	7	583	8	5	53.66%	915	0.45	7	8	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	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Jonathan Quick	Moose (WPG)	12	8	3	1	0.885	1.67	826	0	1	23	200	0	0	0	0.000	0	12	0	0	0	0
Stats d'équipe Total ou en Moyenne			12	8	3	1	0.885	1.67	826	0	1	23	200	0	0	0	0.000	0	12	0	0	0	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 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 Moyen	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Link
Anders Nilsson	Moose (WPG)	G	30	1990-03-18	No	232 Lbs	6 ft6	No	No	No	1	Pro & Farm	1,500,000$	1,000,000$	0$	0$	No				Lien
Andrew Cogliano	Moose (WPG)	LW/RW	33	1987-06-14	No	177 Lbs	5 ft10	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	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$	1,000,000$	0$	0$	No				Lien
Blake Comeau	Moose (WPG)	LW/RW	34	1986-02-17	No	202 Lbs	6 ft1	No	No	No	1	Pro & Farm	2,400,000$	2,400,000$	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$	1,250,000$	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$	1,000,000$	0$	0$	No				Lien
Brandon Tanev	Moose (WPG)	LW/RW	28	1991-12-31	No	180 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,150,000$	1,150,000$	0$	0$	No	1,150,000$			Lien
Brayden McNabb	Moose (WPG)	D	29	1991-01-20	No	212 Lbs	6 ft4	No	No	No	1	Pro & Farm	1,700,000$	1,700,000$	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$	1,000,000$	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$	650,000$	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$	925,000$	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$	750,000$	0$	0$	No	750,000$			Lien
Dryden Hunt	Moose (WPG)	LW/RW	24	1995-11-24	No	197 Lbs	6 ft0	No	No	No	2	Pro & Farm	715,000$	715,000$	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$	650,000$	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$	1,000,000$	0$	0$	No				Lien
Esa Lindell	Moose (WPG)	D	26	1994-05-23	No	213 Lbs	6 ft3	No	No	No	2	Pro & Farm	2,200,000$	2,200,000$	0$	0$	No	2,200,000$			Lien
Ivan Barbashev	Moose (WPG)	C/LW	24	1995-12-14	No	187 Lbs	6 ft0	No	No	No	2	Pro & Farm	863,333$	863,333$	0$	0$	No	863,333$			Lien
JC Lipon	Moose (WPG)	RW	26	1993-07-10	No	183 Lbs	6 ft0	No	No	No	4	Pro & Farm	700,000$	700,000$	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$	700,000$	0$	0$	No	700,000$	700,000$		Lien
Jonathan Quick	Moose (WPG)	G	34	1986-01-20	No	218 Lbs	6 ft1	No	No	No	1	Pro & Farm	2,250,000$	1,000,000$	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$	1,250,000$	0$	0$	No				Lien
Kyle Turris	Moose (WPG)	C	30	1989-08-14	No	190 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	0$	0$	No				Lien
Marc Staal	Moose (WPG)	D	33	1987-01-12	No	209 Lbs	6 ft4	No	No	No	1	Pro & Farm	2,000,000$	2,000,000$	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$	900,000$	0$	0$	No				Lien
Mattias Janmark	Moose (WPG)	C/LW	27	1992-12-08	No	196 Lbs	6 ft1	No	No	No	2	Pro & Farm	800,000$	800,000$	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$	1,000,000$	0$	0$	No				Lien
Pat Maroon	Moose (WPG)	LW/RW	32	1988-04-22	No	225 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	0$	0$	No				Lien
Rasmus Dahlin	Moose (WPG)	D	20	2000-04-12	No	185 Lbs	6 ft3	No	No	No	2	Pro & Farm	3,775,000$	450,000$	0$	0$	No	3,775,000$			Lien
Rasmus Kupari	Moose (WPG)	C	20	2000-03-15	Yes	185 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,081,667$	1,081,667$	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$	450,000$	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$	675,000$	0$	0$	No	675,000$			Lien
Shayne Gostisbehere	Moose (WPG)	D	27	1993-04-19	No	180 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	0$	0$	No				Lien
Travis Zajac	Moose (WPG)	C	35	1985-05-13	No	185 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,250,001$	1,000,000$	0$	0$	No				Lien
Tyler Motte	Moose (WPG)	LW/RW	25	1995-03-10	No	188 Lbs	5 ft9	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
34	28.32	196 Lbs	6 ft1	1.65	1,251,152$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Blake Comeau	Kyle Turris	Brandon Tanev	35	1	2	2
2	Andrew Cogliano	Travis Zajac	Brandon Sutter	30	1	2	2
3	Ivan Barbashev	Jason Spezza	Pat Maroon	25	1	2	2
4	Mattias Janmark	Brad Richardson	Tyler Motte	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Rasmus Dahlin	Esa Lindell	35	1	2	2
2	Marc Staal	Brayden McNabb	30	1	2	2
3	Shayne Gostisbehere	Erik Gudbranson	25	1	2	2
4	Rasmus Dahlin	Esa Lindell	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Blake Comeau	Kyle Turris	Brandon Tanev	60	1	2	2
2	Andrew Cogliano	Travis Zajac	Brandon Sutter	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Rasmus Dahlin	Esa Lindell	60	1	2	2
2	Marc Staal	Brayden McNabb	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Kyle Turris	Blake Comeau	60	1	2	2
2	Travis Zajac	Brandon Tanev	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Rasmus Dahlin	Esa Lindell	60	1	2	2
2	Marc Staal	Brayden McNabb	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Kyle Turris	60	1	2	2	Rasmus Dahlin	Esa Lindell	60	1	2	2
2	Blake Comeau	40	1	2	2	Marc Staal	Brayden McNabb	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Kyle Turris	Blake Comeau	60	1	2	2
2	Travis Zajac	Brandon Tanev	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Rasmus Dahlin	Esa Lindell	60	1	2	2
2	Marc Staal	Brayden McNabb	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Blake Comeau	Kyle Turris	Brandon Tanev	Rasmus Dahlin	Esa Lindell

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Blake Comeau	Kyle Turris	Brandon Tanev	Rasmus Dahlin	Esa Lindell

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Antoine Roussel, Markus Granlund, Jason Spezza	Antoine Roussel, Markus Granlund	Jason Spezza

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Shayne Gostisbehere, Erik Gudbranson, Marc Staal	Shayne Gostisbehere	Erik Gudbranson, Marc Staal

Tirs de Pénalité
Kyle Turris, Blake Comeau, Travis Zajac, Brandon Tanev, Andrew Cogliano

Gardien
#1 : Jonathan Quick, #2 : Anders Nilsson

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	IceHogs	5	4	1	0	0	0	0	0	14	10	4	2	1	1	0	0	0	0	0	4	4	0	3	3	0	0	0	0	0	0	10	6	4	8	0.800	14	24	38	0	0	7	13	8	4	116	69	71	63	31	100	34	102	125	38	3	7.89%	47	5	89.36%	1	215	393	54.71%	189	332	56.93%	87	190	45.79%	348	235	305	106	172	87
2	Wolf Pack	7	4	3	0	0	0	0	0	18	13	5	4	3	1	0	0	0	0	0	13	7	6	3	1	2	0	0	0	0	0	5	6	-1	8	0.571	18	34	52	0	1	7	13	8	4	118	69	71	63	31	100	21	80	140	43	4	9.30%	37	4	89.19%	0	215	393	54.71%	189	332	56.93%	87	190	45.79%	348	235	305	106	172	87
	Total	12	8	4	0	0	0	0	0	32	23	9	6	4	2	0	0	0	0	0	17	11	6	6	4	2	0	0	0	0	0	15	12	3	16	0.667	32	58	90	0	1	7	13	8	4	234	69	71	63	31	200	55	182	265	81	7	8.64%	84	9	89.29%	1	215	393	54.71%	189	332	56.93%	87	190	45.79%	348	235	305	106	172	87
	_Since Last GM Reset	12	8	4	0	0	0	0	0	32	23	9	6	4	2	0	0	0	0	0	17	11	6	6	4	2	0	0	0	0	0	15	12	3	16	0.667	32	58	90	0	1	7	13	8	4	234	69	71	63	31	200	55	182	265	81	7	8.64%	84	9	89.29%	1	215	393	54.71%	189	332	56.93%	87	190	45.79%	348	235	305	106	172	87
	_Vs Conference	5	4	1	0	0	0	0	0	14	10	4	2	1	1	0	0	0	0	0	4	4	0	3	3	0	0	0	0	0	0	10	6	4	8	0.800	14	24	38	0	0	7	13	8	4	116	69	71	63	31	100	34	102	125	38	3	7.89%	47	5	89.36%	1	215	393	54.71%	189	332	56.93%	87	190	45.79%	348	235	305	106	172	87

			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
12	16	W1	32	58	90	234	200	55	182	265	0	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	8	4	0	0	0	0	32	23

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	4	2	0	0	0	0	17	11

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	4	2	0	0	0	0	15	12

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
6	3	0	1	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
81	7	8.64%	84	9	89.29%	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
69	71	63	31	7	13	8	4

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
215	393	54.71%	189	332	56.93%	87	190	45.79%

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
348	235	305	106	172	87

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 - 2021-03-15	2	Moose	3	IceHogs	1	W		Sommaire du Match
2 - 2021-03-16	4	Moose	4	IceHogs	3	W		Sommaire du Match
3 - 2021-03-17	6	IceHogs	1	Moose	2	W	X	Sommaire du Match
4 - 2021-03-18	8	IceHogs	3	Moose	2	L	X	Sommaire du Match
5 - 2021-03-19	10	Moose	3	IceHogs	2	W	X	Sommaire du Match
8 - 2021-03-22	15	Wolf Pack	3	Moose	1	L		Sommaire du Match
9 - 2021-03-23	16	Wolf Pack	0	Moose	6	W		Sommaire du Match
10 - 2021-03-24	17	Moose	1	Wolf Pack	2	L		Sommaire du Match
11 - 2021-03-25	18	Moose	3	Wolf Pack	2	W		Sommaire du Match
12 - 2021-03-26	19	Wolf Pack	2	Moose	3	W	X	Sommaire du Match
13 - 2021-03-27	20	Moose	1	Wolf Pack	2	L		Sommaire du Match
14 - 2021-03-28	21	Wolf Pack	2	Moose	3	W	X	Sommaire du Match

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

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
-6	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
0$	4,253,917$	3,518,500$	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
2020	82	46	22	0	1	0	8	5	205	141	64	41	22	14	0	0	0	4	1	97	69	28	41	24	8	0	1	0	4	4	108	72	36	115	205	341	546	1	14	73	65	58	18	1536	540	501	474	72	1325	420	1299	1523	498	69	13.86%	534	58	89.14%	5	1301	2309	56.34%	1167	2136	54.63%	608	1127	53.95%	2142	1482	1820	607	1024	537
Total Saison Régulière	82	46	22	0	1	0	8	5	205	141	64	41	22	14	0	0	0	4	1	97	69	28	41	24	8	0	1	0	4	4	108	72	36	115	205	341	546	1	14	73	65	58	18	1536	540	501	474	72	1325	420	1299	1523	498	69	13.86%	534	58	89.14%	5	1301	2309	56.34%	1167	2136	54.63%	608	1127	53.95%	2142	1482	1820	607	1024	537
2020	12	8	4	0	0	0	0	0	32	23	9	6	4	2	0	0	0	0	0	17	11	6	6	4	2	0	0	0	0	0	15	12	3	16	32	58	90	0	1	7	13	8	4	234	69	71	63	31	200	55	182	265	81	7	8.64%	84	9	89.29%	1	215	393	54.71%	189	332	56.93%	87	190	45.79%	348	235	305	106	172	87
Total Séries	12	8	4	0	0	0	0	0	32	23	9	6	4	2	0	0	0	0	0	17	11	6	6	4	2	0	0	0	0	0	15	12	3	16	32	58	90	0	1	7	13	8	4	234	69	71	63	31	200	55	182	265	81	7	8.64%	84	9	89.29%	1	215	393	54.71%	189	332	56.93%	87	190	45.79%	348	235	305	106	172	87

	Moose
	GP: 12 \| W: 8 \| L: 4 GF: 32 \| GA: 23 \| PP%: 8.64% \| PK%: 89.29% DG: Emmanuel Rheault \| Morale : 50 \| Moyenne d'Équipe : N/A