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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Mikko Rantanen	X	X	X		98.00	69	43	89	88	80	79	75	89	62	86	90	54	75	62	63	82	61	74	0
2	Adam Henrique (C)	X	X	X		99.00	76	44	90	81	71	74	94	81	95	69	86	68	37	74	76	79	61	73	0
3	Brendan Gallagher			X		100.00	73	53	85	86	64	74	88	80	38	78	86	61	48	73	75	79	34	72	0
4	J.T. Compher	X	X	X		100.00	65	42	91	83	70	74	84	74	79	75	70	82	25	63	64	75	63	70	0
5	Dylan Strome	X				100.00	63	42	90	81	71	72	85	80	79	82	72	58	25	63	63	73	63	69	0
6	Joe Thornton (A)	X				100.00	61	42	85	72	83	70	89	78	80	77	59	59	63	99	99	66	63	69	2
7	Brandon Sutter	X		X		100.00	63	55	83	77	73	68	56	65	78	65	71	88	63	78	80	72	63	68	0
8	Paul Byron		X	X		100.00	79	43	95	90	58	67	61	61	30	66	66	78	85	68	68	71	63	67	0
9	Alan Quine	X	X			100.00	78	73	88	75	73	68	68	72	80	74	65	71	62	55	56	70	63	66	0
10	Richard Panik		X	X		100.00	78	44	82	81	75	59	84	62	55	67	68	69	41	69	70	70	63	66	0
11	Max Jones (R)		X			100.00	79	44	82	73	76	67	87	63	38	57	66	66	25	55	55	67	25	63	0
12	Sam Lafferty	X	X	X		100.00	84	57	86	67	71	54	80	61	65	62	62	76	25	48	48	67	60	62	0
13	Chris Tanev				X	100.00	65	42	83	85	73	78	79	59	25	60	48	97	25	73	74	66	59	73	0
14	Thomas Chabot				X	100.00	76	44	83	88	73	95	88	87	25	72	49	69	25	61	61	68	61	72	0
15	Marc Staal				X	100.00	78	45	90	78	78	72	83	58	25	52	48	87	25	81	86	64	62	71	0
16	Alec Martinez				X	100.00	71	55	86	79	76	83	73	67	25	59	48	82	25	72	76	65	51	70	0
17	Mike Green				X	100.00	77	44	81	83	73	81	64	77	25	52	48	69	25	80	84	62	63	69	0
18	Derrick Pouliot				X	100.00	77	74	83	77	74	73	78	59	25	55	45	69	43	62	63	60	63	65	0
Rayé
1	Ryan Strome	X	X	X		89.77	67	42	80	84	71	81	93	84	84	89	77	75	53	69	70	79	51	75	0
2	Gabriel Bourque		X	X		100.00	89	46	95	75	72	52	71	57	35	58	56	66	41	69	71	63	34	61	0

	MOYENNE D'ÉQUIPE					99.30	73	49	86	80	73	72	79	71	52	68	64	72	42	69	70	70	56	69

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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	Jaroslav Halak	100.00	81	68	71	64	86	78	80	82	87	82	84	72	74	62	63	76	0
2	Dustin Tokarski	100.00	65	54	68	74	67	64	72	75	69	70	30	44	44	67	59	65	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	73	61	70	69	77	71	76	79	78	76	57	58	59	65	61	71

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Gerald Gallant	97	85	80	93	79	67	84	CAN	53	2	1,000,000$

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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	EG	P/20	PSG	PSS	FT	S1	S2	S3
1	Mikko Rantanen	Stars	C/LW/RW	39	27	27	54	14	12	0	58	43	207	64	137	13.04%	21	843	21.63	7	2	9	23	79	2	1	3	5	51	5	1	39.19%	74	60	13	0	1.28	1	2	0	4	7	3
2	Ryan Strome	Stars	C/LW/RW	39	15	31	46	20	32	0	75	62	159	36	100	9.43%	21	813	20.86	3	8	11	17	77	1	0	1	4	62	2	0	52.83%	831	28	18	0	1.13	0	2	0	3	5	1
3	J.T. Compher	Stars	C/LW/RW	39	16	17	33	-2	4	0	47	57	116	36	62	13.79%	25	675	17.31	2	3	5	10	63	0	0	0	4	48	3	3	51.72%	464	25	15	0	0.98	0	1	0	2	2	3
4	Adam Henrique	Stars	C/LW/RW	39	15	14	29	5	6	0	62	52	89	23	40	16.85%	20	809	20.77	1	3	4	6	79	1	0	1	4	47	4	1	56.24%	441	16	17	0	0.72	0	2	0	4	0	4
5	Brendan Gallagher	Stars	RW	36	11	15	26	-8	20	0	65	41	110	32	74	10.00%	16	658	18.28	1	3	4	12	55	0	1	1	2	22	3	0	31.82%	44	30	13	0	0.79	0	0	0	1	0	2
6	Thomas Chabot	Stars	D	39	2	17	19	-5	36	0	75	50	76	33	37	2.63%	60	1040	26.69	2	2	4	9	87	0	2	2	1	65	0	0	0.00%	0	16	47	0	0.37	0	0	0	0	0	1
7	Paul Byron	Stars	LW/RW	39	6	12	18	-8	0	0	55	37	70	25	52	8.57%	14	607	15.58	0	2	2	5	61	0	0	0	0	0	0	0	20.00%	25	25	9	0	0.59	0	0	0	0	2	1
8	Chris Tanev	Stars	D	39	1	12	13	-4	38	10	57	56	49	27	19	2.04%	59	932	23.92	1	2	3	3	75	0	1	1	2	86	0	0	0.00%	0	8	43	0	0.28	0	0	1	0	0	0
9	Marc Staal	Stars	D	39	1	10	11	6	6	0	47	58	38	18	18	2.63%	46	824	21.14	0	1	1	1	56	0	0	0	1	73	0	0	0.00%	0	7	28	0	0.27	0	0	0	0	0	1
10	Dylan Strome	Stars	C	39	4	6	10	5	2	0	22	23	93	30	46	4.30%	4	405	10.41	0	0	0	0	2	0	0	0	0	8	0	0	51.15%	174	14	5	0	0.49	1	1	0	0	1	0
11	Richard Panik	Stars	LW/RW	39	4	6	10	-2	8	0	35	34	64	14	46	6.25%	17	460	11.80	0	0	0	0	6	0	0	0	0	1	0	0	12.50%	8	29	17	0	0.43	0	0	0	0	0	1
12	Alec Martinez	Stars	D	38	0	8	8	10	10	0	42	44	43	14	19	0.00%	47	754	19.85	0	1	1	0	63	0	0	0	0	78	0	0	0.00%	0	5	24	0	0.21	0	0	0	0	0	0
13	Brandon Sutter	Stars	C/RW	39	4	4	8	-8	6	0	37	43	39	14	37	10.26%	14	499	12.80	0	0	0	0	32	0	0	0	0	40	2	0	48.33%	60	17	5	0	0.32	0	0	0	0	0	1
14	Joe Thornton	Stars	C	39	4	4	8	-8	0	0	18	34	69	13	34	5.80%	6	444	11.39	0	0	0	0	1	0	0	0	0	28	0	0	52.82%	195	10	7	0	0.36	0	0	0	0	2	0
15	Alan Quine	Stars	C/LW	39	3	4	7	-8	4	0	39	19	50	23	46	6.00%	10	355	9.11	0	0	0	0	2	0	0	0	0	4	1	1	33.33%	9	16	6	0	0.39	0	0	0	1	1	0
16	Derrick Pouliot	Stars	D	39	2	4	6	8	12	0	27	36	19	3	3	10.53%	30	530	13.59	0	0	0	0	1	0	0	0	0	34	1	0	0.00%	0	0	12	0	0.23	0	0	0	0	1	1
17	Sam Lafferty	Stars	C/LW/RW	37	4	2	6	9	8	0	48	33	29	15	18	13.79%	7	415	11.24	0	0	0	0	1	0	0	0	0	31	0	0	60.00%	10	4	6	2	0.29	0	0	0	0	0	0
18	Mike Green	Stars	D	39	1	4	5	-2	20	0	41	33	18	9	8	5.56%	37	608	15.61	0	0	0	0	5	0	0	0	0	18	0	0	0.00%	0	1	16	0	0.16	0	0	0	0	0	1
19	Gabriel Bourque	Stars	LW/RW	11	1	1	2	1	0	0	5	3	11	5	9	9.09%	1	89	8.13	0	0	0	0	0	0	0	0	0	6	0	0	100.00%	2	2	1	0	0.45	0	0	0	0	0	0
20	Max Jones	Stars	LW	11	1	0	1	0	4	0	8	7	10	5	7	10.00%	2	100	9.09	0	0	0	0	0	0	0	0	0	5	0	1	25.00%	4	1	2	0	0.20	0	0	0	0	0	0
21	Cale Fleury	Texas Stars (DAL)	D	2	0	0	0	0	0	0	3	0	1	0	1	0.00%	1	16	8.45	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	1	0	0.00	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				720	122	198	320	23	228	10	866	765	1360	439	813	8.97%	458	11885	16.51	17	27	44	86	752	4	5	9	23	716	21	7	51.64%	2341	315	305	2	0.54	2	8	1	15	21	20

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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	PS %	PSA	ST	BG	S1	S2	S3
1	Jaroslav Halak	Stars	34	18	10	5	0.916	2.77	1993	2	1	92	1097	561	1	0.750	8	33	5	3	3	5
2	Dustin Tokarski	Stars	7	3	3	0	0.916	2.88	354	0	0	17	203	115	0	0.000	0	5	33	1	0	0
Stats d'équipe Total ou en Moyenne			41	21	13	5	0.916	2.79	2348	2	1	109	1300	676	1	0.750	8	38	38	4	3	5

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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	Salaire Année 4	Salaire Année 5	Salaire Année 6	Link
Adam Henrique	Stars	C/LW/RW	31	1990-02-06	No	195 Lbs	6 ft0	No	No	No	3	Pro Only	5,825,000$	5,825,000$	3,106,667$	No	5,825,000$	5,825,000$				Lien
Alan Quine	Stars	C/LW	27	1993-02-25	No	203 Lbs	6 ft0	Yes	No	No	1	Pro & Farm	735,000$	735,000$	392,000$	No						Lien
Alec Martinez	Stars	D	33	1987-07-25	No	208 Lbs	6 ft1	No	No	No	1	Pro & Farm	4,000,000$	4,000,000$	2,133,333$	No						Lien
Brandon Sutter	Stars	C/RW	32	1989-02-14	No	191 Lbs	6 ft3	No	No	No	1	Pro & Farm	4,375,000$	4,375,000$	2,333,333$	No						Lien
Brendan Gallagher	Stars	RW	28	1992-05-05	No	181 Lbs	5 ft9	No	No	No	6	Pro & Farm	3,750,000$	3,750,000$	2,000,000$	No	6,500,000$	6,500,000$	6,500,000$	6,500,000$	6,500,000$	Lien
Chris Tanev	Stars	D	31	1989-12-20	No	195 Lbs	6 ft2	No	No	No	1	Pro & Farm	4,450,000$	4,450,000$	2,373,333$	No						Lien
Derrick Pouliot	Stars	D	27	1994-01-16	No	208 Lbs	6 ft0	No	No	No	1	Pro & Farm	700,000$	700,000$	373,333$	No						Lien
Dustin Tokarski	Stars	G	31	1989-09-15	No	205 Lbs	6 ft0	No	No	No	2	Pro & Farm	725,000$	725,000$	386,667$	No	725,000$					Lien
Dylan Strome	Stars	C	23	1997-03-07	No	185 Lbs	6 ft3	No	No	No	2	Pro & Farm	3,338,333$	3,338,333$	1,780,444$	No	3,000,000$					Lien
Gabriel Bourque	Stars	LW/RW	30	1990-09-23	No	206 Lbs	5 ft10	No	No	No	1	Pro & Farm	800,000$	800,000$	426,667$	No						Lien
J.T. Compher	Stars	C/LW/RW	25	1995-04-08	No	193 Lbs	6 ft0	No	No	No	3	Pro & Farm	3,500,000$	3,500,000$	1,866,667$	No	3,500,000$	3,500,000$				Lien
Jaroslav Halak	Stars	G	35	1985-05-13	No	183 Lbs	5 ft11	No	No	No	1	Pro & Farm	3,500,000$	3,500,000$	1,866,667$	No						Lien
Joe Thornton	Stars	C	41	1979-07-02	No	220 Lbs	6 ft4	Yes	No	No	1	Pro & Farm	700,000$	700,000$	373,333$	No						Lien
Marc Staal	Stars	D	34	1987-01-12	No	209 Lbs	6 ft4	No	No	No	1	Pro & Farm	5,700,000$	5,700,000$	3,040,000$	No						Lien
Max Jones	Stars	LW	23	1998-02-16	Yes	203 Lbs	6 ft3	No	No	No	1	Pro & Farm	863,333$	863,333$	460,444$	No						Lien
Mike Green	Stars	D	35	1985-10-11	No	207 Lbs	5 ft11	Yes	No	No	1	Pro & Farm	2,500,000$	2,500,000$	1,333,333$	No						Lien
Mikko Rantanen	Stars	C/LW/RW	24	1996-10-28	No	211 Lbs	6 ft4	No	No	No	4	Pro & Farm	9,250,000$	9,250,000$	4,933,333$	No	9,250,000$	9,250,000$	9,250,000$			Lien
Paul Byron	Stars	LW/RW	31	1989-04-26	No	162 Lbs	5 ft9	No	No	No	3	Pro & Farm	3,400,000$	3,400,000$	1,813,333$	No	3,400,000$	3,400,000$				Lien
Richard Panik	Stars	LW/RW	30	1991-02-07	No	208 Lbs	6 ft1	No	No	No	3	Pro & Farm	2,750,000$	2,750,000$	1,466,667$	No	2,750,000$	2,750,000$				Lien
Ryan Strome (Sur la Masse Salariale)	Stars	C/LW/RW	27	1993-07-11	No	194 Lbs	6 ft1	No	No	No	1	Pro & Farm	3,100,000$	3,100,000$	1,653,333$	No						Lien
Sam Lafferty	Stars	C/LW/RW	25	1995-03-06	No	194 Lbs	6 ft1	No	No	No	2	Pro & Farm	750,000$	750,000$	400,000$	No	750,000$					Lien
Thomas Chabot	Stars	D	24	1997-01-30	No	196 Lbs	6 ft2	No	No	No	5	Pro & Farm	8,000,000$	8,000,000$	4,266,667$	No	8,000,000$	8,000,000$	8,000,000$	8,000,000$		Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	29.41	198 Lbs	6 ft1	2.05	3,305,076$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
72,711,666$	43,700,000$	39,225,000$	23,750,000$	14,500,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Mikko Rantanen	Adam Henrique	Brendan Gallagher	40	1	2	2
2	Sam Lafferty	J.T. Compher	Paul Byron	30	1	2	2
3	Max Jones	Joe Thornton	Richard Panik	20	1	2	2
4	Mikko Rantanen	Dylan Strome	Brandon Sutter	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Chris Tanev	Thomas Chabot	40	1	2	2
2	Marc Staal	Mike Green	30	1	2	2
3	Derrick Pouliot	Alec Martinez	20	1	2	2
4	Chris Tanev	Thomas Chabot	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Max Jones	Adam Henrique	Mikko Rantanen	60	1	2	2
2	Paul Byron	J.T. Compher	Brendan Gallagher	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Chris Tanev	Thomas Chabot	60	1	2	2
2	Marc Staal	Alec Martinez	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	J.T. Compher	Adam Henrique	60	1	2	2
2	Joe Thornton	Brendan Gallagher	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alec Martinez	Mike Green	60	1	2	2
2	Marc Staal	Chris Tanev	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Brendan Gallagher	60	1	2	2	Marc Staal	Alec Martinez	60	1	2	2
2	Adam Henrique	40	1	2	2	Chris Tanev	Mike Green	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Adam Henrique	Brendan Gallagher	60	1	2	2
2	Dylan Strome	Paul Byron	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Chris Tanev	Alec Martinez	60	1	2	2
2	Marc Staal	Thomas Chabot	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Max Jones	Adam Henrique	Mikko Rantanen	Alec Martinez	Thomas Chabot

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Sam Lafferty	J.T. Compher	Brendan Gallagher	Chris Tanev	Marc Staal

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Sam Lafferty, Dylan Strome, Joe Thornton	Sam Lafferty, Dylan Strome	Joe Thornton

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Derrick Pouliot, Alec Martinez, Marc Staal	Derrick Pouliot	Alec Martinez, Marc Staal

Tirs de Pénalité
Dylan Strome, Adam Henrique, Mikko Rantanen, Brendan Gallagher, J.T. Compher

Gardien
#1 : Jaroslav Halak, #2 : Dustin Tokarski

Lignes d'Attaque Perso. en Prol.
Mikko Rantanen, Max Jones, Adam Henrique, Brendan Gallagher, J.T. Compher, Dylan Strome, Dylan Strome, Joe Thornton, Brandon Sutter, Paul Byron, Richard Panik

Lignes de Défense Perso. en Prol.
Alec Martinez, Thomas Chabot, Chris Tanev, Marc Staal, Derrick Pouliot

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	Avalanche	2	2	0	0	0	0	0	0	6	3	3	0	0	0	0	0	0	0	0	0	0	0	2	2	0	0	0	0	0	0	6	3	3	4	1.000	6	6	12	0	0	1	3	2	0	62	23	19	20	0	60	30	10	51	4	2	50.00%	5	0	100.00%	0	456	864	52.78%	448	865	51.79%	299	563	53.11%	42	23	39	18	37	18
2	Blackhawks	3	0	1	0	0	1	1	0	10	11	-1	2	0	0	0	0	1	1	0	9	9	0	1	0	1	0	0	0	0	0	1	2	-1	3	0.500	10	15	25	0	0	5	3	1	2	112	35	42	30	10	100	42	22	72	11	1	9.09%	11	1	90.91%	0	456	864	52.78%	448	865	51.79%	299	563	53.11%	70	40	63	29	54	27
3	Bruins	2	2	0	0	0	0	0	0	7	5	2	0	0	0	0	0	0	0	0	0	0	0	2	2	0	0	0	0	0	0	7	5	2	4	1.000	7	13	20	0	0	3	2	2	0	59	24	17	18	0	82	21	6	48	4	1	25.00%	3	1	66.67%	0	456	864	52.78%	448	865	51.79%	299	563	53.11%	38	20	45	18	36	17
4	Canucks	1	1	0	0	0	0	0	0	2	0	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	0	2	2	1.000	2	3	5	0	1	0	1	1	0	40	19	9	12	0	17	14	4	15	3	0	0.00%	2	0	100.00%	0	456	864	52.78%	448	865	51.79%	299	563	53.11%	23	13	18	9	18	9
5	Capitals	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	0	2	0	0	26	5	14	7	0	33	9	4	16	1	0	0.00%	2	0	100.00%	0	456	864	52.78%	448	865	51.79%	299	563	53.11%	18	9	24	8	17	8
6	Ducks	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	1	2	3	0	0	0	0	1	0	37	13	15	9	0	34	7	9	19	4	0	0.00%	2	0	100.00%	0	456	864	52.78%	448	865	51.79%	299	563	53.11%	21	12	21	8	17	9
7	Flames	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	1	0	1	0	28	6	9	13	0	34	20	8	17	0	0	0.00%	4	0	100.00%	0	456	864	52.78%	448	865	51.79%	299	563	53.11%	17	8	23	9	18	8
8	Golden Knights	2	1	1	0	0	0	0	0	9	7	2	2	1	1	0	0	0	0	0	9	7	2	0	0	0	0	0	0	0	0	0	0	0	2	0.500	9	15	24	0	0	1	5	3	0	66	11	30	25	0	59	10	12	52	5	1	20.00%	6	1	83.33%	0	456	864	52.78%	448	865	51.79%	299	563	53.11%	44	25	38	18	37	18
9	Golden Seals	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	6	10	0	0	2	0	2	0	41	13	16	12	0	30	11	6	18	2	0	0.00%	3	0	100.00%	0	456	864	52.78%	448	865	51.79%	299	563	53.11%	24	15	19	8	16	7
10	Islanders	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	0	2	2	0	34	14	10	10	0	34	6	6	18	4	1	25.00%	3	1	66.67%	0	456	864	52.78%	448	865	51.79%	299	563	53.11%	21	13	21	8	16	8
11	Jets	2	0	1	0	1	0	0	0	4	8	-4	1	0	0	0	1	0	0	0	3	2	1	1	0	1	0	0	0	0	0	1	6	-5	2	0.500	4	7	11	0	0	1	1	1	1	64	28	17	17	2	65	27	12	52	3	0	0.00%	6	1	83.33%	0	456	864	52.78%	448	865	51.79%	299	563	53.11%	46	27	41	17	35	17
12	Kings	1	0	0	0	0	0	0	1	2	3	-1	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	2	3	5	0	0	0	2	0	0	32	10	13	8	4	35	22	2	26	1	1	100.00%	1	0	100.00%	0	456	864	52.78%	448	865	51.79%	299	563	53.11%	21	12	24	9	19	9
13	Kraken	6	3	2	0	0	1	0	0	21	20	1	5	3	2	0	0	0	0	0	20	18	2	1	0	0	0	0	1	0	0	1	2	-1	7	0.583	21	36	57	0	0	3	8	10	0	239	78	74	84	3	221	73	32	125	17	6	35.29%	16	4	75.00%	1	456	864	52.78%	448	865	51.79%	299	563	53.11%	135	81	126	51	100	50
14	Maple Leafs	2	1	1	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	5	8	13	0	0	1	1	3	0	61	15	25	21	0	69	22	10	62	5	0	0.00%	5	1	80.00%	0	456	864	52.78%	448	865	51.79%	299	563	53.11%	44	25	40	17	34	17
15	Maroons	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	3	5	0	0	0	2	0	0	25	13	8	4	0	33	5	4	22	2	1	50.00%	2	1	50.00%	0	456	864	52.78%	448	865	51.79%	299	563	53.11%	22	12	19	8	17	9
16	Oilers	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	1	3	2	1.000	4	5	9	0	0	1	0	3	0	42	15	16	11	0	34	14	4	21	1	0	0.00%	2	0	100.00%	0	456	864	52.78%	448	865	51.79%	299	563	53.11%	22	13	20	8	17	8
17	Panthers	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	1	2	0	0	42	16	15	11	0	31	9	2	19	3	1	33.33%	1	1	0.00%	0	456	864	52.78%	448	865	51.79%	299	563	53.11%	23	14	19	8	17	9
18	Penguins	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	3	6	0	0	0	0	3	0	35	12	6	17	0	43	6	6	19	3	0	0.00%	3	1	66.67%	0	456	864	52.78%	448	865	51.79%	299	563	53.11%	21	12	22	8	16	8
19	Predators	2	0	0	0	1	1	0	0	6	6	0	1	0	0	0	1	0	0	0	3	2	1	1	0	0	0	0	1	0	0	3	4	-1	3	0.750	6	11	17	0	0	2	2	1	1	58	13	30	14	1	70	20	27	33	5	0	0.00%	9	2	77.78%	0	456	864	52.78%	448	865	51.79%	299	563	53.11%	42	23	42	19	37	18
20	Red Wings	2	2	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	6	9	15	0	0	2	2	2	0	43	20	10	13	0	71	29	12	36	5	2	40.00%	6	0	100.00%	0	456	864	52.78%	448	865	51.79%	299	563	53.11%	34	17	48	20	37	16
21	Sabres	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	6	3	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	9	15	0	0	1	3	2	0	40	13	18	9	0	23	11	6	21	0	0	0.00%	3	0	100.00%	3	456	864	52.78%	448	865	51.79%	299	563	53.11%	23	14	19	7	16	8
22	Senateurs	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	0	1	2	0	32	8	11	13	0	39	13	4	23	2	0	0.00%	2	1	50.00%	0	456	864	52.78%	448	865	51.79%	299	563	53.11%	20	11	22	9	17	8
23	Sharks	3	1	1	0	0	1	0	0	7	8	-1	0	0	0	0	0	0	0	0	0	0	0	3	1	1	0	0	1	0	0	7	8	-1	3	0.500	7	13	20	0	0	1	4	2	0	99	14	42	43	0	92	28	12	61	1	0	0.00%	6	0	100.00%	0	456	864	52.78%	448	865	51.79%	299	563	53.11%	63	36	65	26	52	26
	Total	39	18	13	0	2	4	1	1	119	112	7	20	10	5	0	2	1	1	1	75	62	13	19	8	8	0	0	3	0	0	44	50	-6	47	0.603	119	192	311	0	1	26	46	44	4	1317	418	466	421	20	1309	449	220	846	86	17	19.77%	103	16	84.47%	4	456	864	52.78%	448	865	51.79%	299	563	53.11%	843	484	828	353	691	343
	_Since Last GM Reset	39	18	13	0	2	4	1	1	119	112	7	20	10	5	0	2	1	1	1	75	62	13	19	8	8	0	0	3	0	0	44	50	-6	47	0.603	119	192	311	0	1	26	46	44	4	1317	418	466	421	20	1309	449	220	846	86	17	19.77%	103	16	84.47%	4	456	864	52.78%	448	865	51.79%	299	563	53.11%	843	484	828	353	691	343
	_Vs Conference	28	14	7	0	2	4	1	0	91	81	10	14	7	3	0	2	1	1	0	55	44	11	14	7	4	0	0	3	0	0	36	37	-1	38	0.679	91	146	237	0	0	22	32	34	4	954	300	329	314	16	961	317	167	606	65	14	21.54%	79	12	84.81%	1	456	864	52.78%	448	865	51.79%	299	563	53.11%	607	349	596	255	495	245
	_Vs Division	14	6	5	0	1	2	0	0	43	43	0	7	4	2	0	1	0	0	0	27	22	5	7	2	3	0	0	2	0	0	16	21	-5	16	0.571	43	70	113	0	0	8	13	21	1	520	160	171	184	5	485	159	72	296	27	6	22.22%	36	6	83.33%	1	456	864	52.78%	448	865	51.79%	299	563	53.11%	313	186	295	122	238	119

			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
39	47	W2	119	192	311	1317	1309	449	220	846	0	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	18	13	2	4	1	1	119	112

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
20	10	5	2	1	1	1	75	62

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
19	8	8	0	3	0	0	44	50

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	6	0	1	0	1

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
86	17	19.77%	103	16	84.47%	4

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
418	466	421	20	26	46	44	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
456	864	52.78%	448	865	51.79%	299	563	53.11%

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
843	484	828	353	691	343

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
2 - 2020-11-11	15	Kraken	1	Stars	3	W			Sommaire du Match
4 - 2020-11-13	35	Stars	1	Blackhawks	2	L			Sommaire du Match
5 - 2020-11-14	45	Kraken	3	Stars	5	W			Sommaire du Match
7 - 2020-11-16	65	Jets	2	Stars	3	W	X		Sommaire du Match
8 - 2020-11-17	71	Stars	3	Sharks	2	W			Sommaire du Match
11 - 2020-11-20	97	Stars	4	Avalanche	2	W			Sommaire du Match
13 - 2020-11-22	106	Stars	2	Capitals	3	L			Sommaire du Match
14 - 2020-11-23	118	Golden Seals	2	Stars	4	W			Sommaire du Match
17 - 2020-11-26	132	Stars	4	Bruins	3	W			Sommaire du Match
18 - 2020-11-27	148	Kraken	4	Stars	7	W			Sommaire du Match
20 - 2020-11-29	167	Blackhawks	6	Stars	5	L	X		Sommaire du Match
22 - 2020-12-01	181	Stars	1	Ducks	4	L			Sommaire du Match
23 - 2020-12-02	193	Stars	3	Penguins	4	L			Sommaire du Match
24 - 2020-12-03	208	Islanders	2	Stars	4	W			Sommaire du Match
26 - 2020-12-05	225	Stars	1	Kraken	2	L	X		Sommaire du Match
28 - 2020-12-07	240	Kraken	4	Stars	3	L			Sommaire du Match
29 - 2020-12-08	250	Stars	4	Oilers	1	W			Sommaire du Match
31 - 2020-12-10	269	Senateurs	5	Stars	3	L			Sommaire du Match
32 - 2020-12-11	287	Blackhawks	3	Stars	4	W	X	X	Sommaire du Match
34 - 2020-12-13	302	Stars	3	Bruins	2	W			Sommaire du Match
36 - 2020-12-15	320	Red Wings	2	Stars	3	W			Sommaire du Match
38 - 2020-12-17	337	Stars	2	Canucks	0	W			Sommaire du Match
40 - 2020-12-19	352	Maple Leafs	2	Stars	4	W			Sommaire du Match
41 - 2020-12-20	364	Stars	3	Predators	4	L	X		Sommaire du Match
43 - 2020-12-22	379	Predators	2	Stars	3	W	X		Sommaire du Match
46 - 2020-12-25	396	Stars	2	Maroons	4	L			Sommaire du Match
48 - 2020-12-27	413	Sabres	3	Stars	6	W			Sommaire du Match
50 - 2020-12-29	427	Stars	3	Red Wings	2	W			Sommaire du Match
51 - 2020-12-30	443	Panthers	1	Stars	3	W			Sommaire du Match
55 - 2021-01-03	468	Stars	2	Sharks	3	L	X		Sommaire du Match
56 - 2021-01-04	480	Kraken	6	Stars	2	L			Sommaire du Match
57 - 2021-01-05	499	Stars	1	Jets	6	L			Sommaire du Match
58 - 2021-01-06	510	Kings	3	Stars	2	L	X	X	Sommaire du Match
60 - 2021-01-08	532	Golden Knights	3	Stars	2	L			Sommaire du Match
63 - 2021-01-11	550	Stars	1	Maple Leafs	2	L			Sommaire du Match
64 - 2021-01-12	561	Stars	2	Sharks	3	L			Sommaire du Match
65 - 2021-01-13	572	Flames	4	Stars	2	L			Sommaire du Match
67 - 2021-01-15	593	Stars	2	Avalanche	1	W			Sommaire du Match
69 - 2021-01-17	602	Golden Knights	4	Stars	7	W			Sommaire du Match
71 - 2021-01-19	623	Stars	-	Senateurs	-
72 - 2021-01-20	634	Predators	-	Stars	-
74 - 2021-01-22	655	Stars	-	Capitals	-
76 - 2021-01-24	663	Canadiens	-	Stars	-
77 - 2021-01-25	679	Stars	-	Ducks	-
78 - 2021-01-26	694	Jets	-	Stars	-
81 - 2021-01-29	718	Flyers	-	Stars	-
83 - 2021-01-31	731	Stars	-	Rangers	-
84 - 2021-02-01	744	Stars	-	Golden Seals	-
86 - 2021-02-03	757	Blues	-	Stars	-
88 - 2021-02-05	778	Stars	-	Lightning	-
89 - 2021-02-06	786	Stars	-	Jets	-
91 - 2021-02-08	798	Islanders	-	Stars	-
94 - 2021-02-11	820	Flyers	-	Stars	-
96 - 2021-02-13	836	Stars	-	Islanders	-
97 - 2021-02-14	849	Golden Seals	-	Stars	-
100 - 2021-02-17	870	Stars	-	Golden Seals	-
101 - 2021-02-18	881	Bruins	-	Stars	-
103 - 2021-02-20	894	Stars	-	Blackhawks	-
104 - 2021-02-21	913	Nordiques	-	Stars	-
106 - 2021-02-23	927	Stars	-	Wild	-
107 - 2021-02-24	941	Golden Seals	-	Stars	-
109 - 2021-02-26	959	Stars	-	Islanders	-
110 - 2021-02-27	968	Oilers	-	Stars	-
113 - 2021-03-02	986	Stars	-	Golden Knights	-
114 - 2021-03-03	1004	Jets	-	Stars	-
116 - 2021-03-05	1027	Lightning	-	Stars	-
117 - 2021-03-06	1035	Stars	-	Flyers	-
119 - 2021-03-08	1049	Stars	-	Penguins	-
121 - 2021-03-10	1064	Penguins	-	Stars	-
122 - 2021-03-11	1076	Stars	-	Blackhawks	-
125 - 2021-03-14	1096	Penguins	-	Stars	-
126 - 2021-03-15	1110	Stars	-	Penguins	-
129 - 2021-03-18	1129	Oilers	-	Stars	-
132 - 2021-03-21	1153	Sharks	-	Stars	-
135 - 2021-03-24	1176	Stars	-	Oilers	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
136 - 2021-03-25	1185	Sharks	-	Stars	-
137 - 2021-03-26	1189	Stars	-	Red Wings	-
141 - 2021-03-30	1217	Avalanche	-	Stars	-
143 - 2021-04-01	1230	Stars	-	Kraken	-
144 - 2021-04-02	1240	Stars	-	Oilers	-
145 - 2021-04-03	1246	Stars	-	Lightning	-
148 - 2021-04-06	1269	Avalanche	-	Stars	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des Billets	115	75	45	30	220
Assistance	83,945	66,739	27,687	48,227	13,726
Attendance PCT	69.95%	66.74%	69.22%	60.28%	68.63%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
21	12016 - 66.76%	1,517,680$	30,353,604$	18000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
34,370,927$	69,611,666$	47,134,166$	0$	3,125,000$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
69,611,666$	34,370,927$	0$	21	1

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
31,871,284$	80	470,744$	37,659,520$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Compte Bancaire Actuel	Compte Bancaire Projeté
38,587,345$	30,219,534$	25,522,375$

Cap Salarial de la Saison Éstimé	Cap Salarial Disponible	Cap Salarial Maximum	Au dessus du Plafond Salarial Minimum
73,856,666$	8,643,334$	82,500,000$	10,856,666$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Ryan Strome	AGE:27	PO:79	OV:75
Mikko Rantanen	AGE:24	PO:82	OV:74
Adam Henrique	AGE:31	PO:79	OV:73
J.T. Compher	AGE:25	PO:75	OV:70
Paul Byron	AGE:31	PO:71	OV:67
Alan Quine	AGE:27	PO:70	OV:66
Richard Panik	AGE:30	PO:70	OV:66
Max Jones (R)	AGE:23	PO:67	OV:63
Sam Lafferty	AGE:25	PO:67	OV:62
Colin Blackwell	AGE:27	PO:65	OV:61
Gabriel Bourque	AGE:30	PO:63	OV:61
Michael Dal Colle	AGE:24	PO:63	OV:60
Luke Witkowski	AGE:30	PO:59	OV:60
Laurent Dauphin	AGE:25	PO:63	OV:59
Danick Martel	AGE:26	PO:62	OV:58
Phil Varone	AGE:30	PO:59	OV:58
Matthew Strome (R)	AGE:22	PO:56	OV:54
Joseph Cramarossa	AGE:28	PO:55	OV:54

Ryan Strome	AGE:27	PO:79	OV:75
Mikko Rantanen	AGE:24	PO:82	OV:74
Adam Henrique	AGE:31	PO:79	OV:73
J.T. Compher	AGE:25	PO:75	OV:70
Dylan Strome	AGE:23	PO:73	OV:69
Joe Thornton	AGE:41	PO:66	OV:69
Brandon Sutter	AGE:32	PO:72	OV:68
Alan Quine	AGE:27	PO:70	OV:66
Sam Lafferty	AGE:25	PO:67	OV:62
Glenn Gawdin	AGE:23	PO:65	OV:62
Luke Johnson	AGE:26	PO:66	OV:61
Josh Currie	AGE:28	PO:66	OV:61
Colin Blackwell	AGE:27	PO:65	OV:61
Laurent Dauphin	AGE:25	PO:63	OV:59
Danick Martel	AGE:26	PO:62	OV:58
Phil Varone	AGE:30	PO:59	OV:58
Joseph Cramarossa	AGE:28	PO:55	OV:54
Dylan McLaughlin (R)	AGE:25	PO:55	OV:53

Ryan Strome	AGE:27	PO:79	OV:75
Mikko Rantanen	AGE:24	PO:82	OV:74
Adam Henrique	AGE:31	PO:79	OV:73
Brendan Gallagher	AGE:28	PO:79	OV:72
J.T. Compher	AGE:25	PO:75	OV:70
Brandon Sutter	AGE:32	PO:72	OV:68
Paul Byron	AGE:31	PO:71	OV:67
Richard Panik	AGE:30	PO:70	OV:66
Sam Lafferty	AGE:25	PO:67	OV:62
Glenn Gawdin	AGE:23	PO:65	OV:62
Josh Currie	AGE:28	PO:66	OV:61
Gabriel Bourque	AGE:30	PO:63	OV:61
Michael Dal Colle	AGE:24	PO:63	OV:60
Laurent Dauphin	AGE:25	PO:63	OV:59
Phil Varone	AGE:30	PO:59	OV:58
Spencer Smallman	AGE:24	PO:54	OV:54

Défense #1

Défense #2

Gardien

Chris Tanev	AGE:31	PO:66	OV:73
Thomas Chabot	AGE:24	PO:68	OV:72
Marc Staal	AGE:34	PO:64	OV:71
Alec Martinez	AGE:33	PO:65	OV:70
Mike Green	AGE:35	PO:62	OV:69
Derrick Pouliot	AGE:27	PO:60	OV:65
Cale Fleury (R)	AGE:22	PO:59	OV:62

Zach Redmond	AGE:32	PO:57	OV:62
Cal Foote	AGE:22	PO:56	OV:61
Juuso Riikola	AGE:27	PO:59	OV:60
Luke Witkowski	AGE:30	PO:59	OV:60
Brandon Manning	AGE:30	PO:54	OV:60
Joshua Jacobs	AGE:25	PO:55	OV:59
Francois Beauchemin	AGE:40	PO:51	OV:59

Jaroslav Halak	AGE:35	PO:62	OV:76
Dustin Tokarski	AGE:31	PO:67	OV:65
Malcolm Subban	AGE:27	PO:49	OV:59
Mike Condon	AGE:30	PO:38	OV:49

Éspoirs

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total	Lien
Aaron Huglen	Stars	2019	112
Alex Schoenborn	Stars
Artur Akhtyamov	Stars	2020	48
Cedric Pare	Stars	2017	185
Chase Bradley	Stars	2020	203
Chase Yoder	Stars	2020	172
Clayton Phillips	Stars	2017	95
Connor Corcoran	Stars	2018	157
Damir Sharipzianov	Stars
David Noel	Stars	2017	147
Dennis Busby	Stars	2018	153
Jacob Graves	Stars
Jacob Peterson	Stars	2017	145
Jaden Lindo	Stars	2014	183
Jakub Dobes	Stars	2020	141
Jean-Luc Foudy	Stars	2020	17
Jesse Ylonen	Stars	2018	28
Joe Wegwerth	Stars	2014	93
Joel Blomqvist	Stars	2020	50
KAREL VEJMELKA	Stars	2015	128
LUKE STEVENS	Stars	2015	124
Liam Foudy	Stars	2018	16
Liam Gorman	Stars	2018	183
Liam Hawel	Stars	2017	115
Louis Crevier	Stars	2020	80
Lucas Feuk	Stars	2019	108
Mason McDonald	Stars
Maxwell Crozier	Stars	2019	115
Nicholas Porco	Stars	2019	130
Nick Schneider	Stars			Lien
Nolan Foote	Stars	2019	10
Quinn Olson	Stars	2019	85
Rafael Harvey-Pinard	Stars	2019	190
Samuel Walker	Stars	2017	205
Scott Walford	Stars	2017	65
Tyler Bird	Stars	2014	123
Zach Fischer	Stars	2017	155

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7	R8
2021		DAL	DAL		DAL	PIT DAL	DAL	DAL
2022	DAL	DAL	DAL	DAL	DAL	DAL	DAL	DAL
2023	DAL	DAL	DAL	DAL	DAL	DAL	DAL	DAL
2024	DAL	DAL	DAL	DAL	DAL	DAL	DAL	DAL
2025	DAL	DAL	DAL	DAL	DAL	DAL	DAL	DAL

La base de donnée des nouvelles n'a pas été trouvée. Veuillez en créer une du STHS.

[2021-02-10 11:42:44] - New Record for Team's Most Hits (41) in 1 Game for Stars!
[2020-12-28 19:28:53] - TRADE : From Stars to Maroons : Mikko Koskinen (74), Ty Dellandrea (P), Y:2021-RND:1-DAL.
[2020-12-28 19:28:53] - TRADE : From Maroons to Stars : Brendan Gallagher (72).
[2020-11-12 16:50:31] - TRADE : From Stars to Flames : Danton Heinen (66).
[2020-11-12 16:50:31] - TRADE : From Flames to Stars : Max Jones (63).
[2020-10-09 14:03:10] - Stars drafts Chase Bradley as the #203 overall pick in the Entry Draft of year 2020.
[2020-10-09 13:59:21] - Stars drafts Chase Yoder as the #172 overall pick in the Entry Draft of year 2020.
[2020-10-09 13:56:30] - Stars drafts Jakub Dobes as the #141 overall pick in the Entry Draft of year 2020.
[2020-10-05 19:23:49] - TRADE : From Penguins to Stars : Y:2021-RND:6-PIT.
[2020-10-05 19:23:49] - TRADE : From Stars to Penguins : Michael Grabner (66).
[2020-10-03 16:57:04] - Mike Condon signed with Stars for 700 000 $ for 1 year(s) / Option : No Trade.
[2020-10-03 16:57:04] - Mike Condon was added to Stars.
[2020-10-03 16:50:09] - Mike Green signed with Stars for 2 500 000 $ for 1 year(s) / Option : No Trade.
[2020-10-03 16:50:09] - Mike Green was added to Stars.
[2020-10-02 15:58:41] - Brandon Manning signed with Stars for 1 000 000 $ for 1 year(s) / Option : No Trade.
[2020-10-02 15:58:41] - Brandon Manning was added to Stars.
[2020-10-02 15:58:21] - Zach Redmond signed with Stars for 1 500 000 $ for 1 year(s) / Option : No Trade.
[2020-10-02 15:58:21] - Zach Redmond was added to Stars.
[2020-10-02 15:58:04] - Corey Perry signed with Stars for 1 999 999 $ for 1 year(s) / Option : No Trade.
[2020-10-02 15:58:04] - Corey Perry was added to Stars.
[2020-10-02 10:02:42] - TRADE : From Stars to Wild : Y:2021-RND:4-DAL.
[2020-10-02 10:02:42] - TRADE : From Wild to Stars : Marc Staal (71).

[2021-02-19 08:16:48] Successfully loaded Stars lines done with STHS Client - 3.2.7.7
[2021-02-18 09:07:55] Game 602 - Ryan Strome from Stars is injured (Back) and is out for 2 weeks.
[2021-02-18 08:58:44] Successfully loaded Stars lines done with STHS Client - 3.2.7.7
[2021-02-17 15:40:45] Successfully loaded Stars lines done with STHS Client - 3.2.7.7
[2021-02-16 13:47:44] Successfully loaded Stars lines done with STHS Client - 3.2.7.7
[2021-02-15 19:59:30] Successfully loaded Stars lines done with STHS Client - 3.2.7.7
[2021-02-12 15:48:03] Successfully loaded Stars lines done with STHS Client - 3.2.7.7
[2021-02-11 16:34:17] Successfully loaded Stars lines done with STHS Client - 3.2.7.7
[2021-02-10 11:42:44] New Record for Team's Most Hits (41) in 1 Game for Stars!
[2021-02-10 11:42:28] Successfully loaded Stars lines done with STHS Client - 3.2.7.7
[2021-02-09 11:11:52] Successfully loaded Stars lines done with STHS Client - 3.2.7.7
[2021-02-08 12:47:10] Successfully loaded Stars lines done with STHS Client - 3.2.7.7
[2021-02-05 08:39:23] Successfully loaded Stars lines done with STHS Client - 3.2.7.7
[2021-02-04 09:05:25] Mikko Rantanen from Stars is back from Exhaustion.
[2021-02-04 09:05:25] Glenn Gawdin from Texas Stars has scored a Hat Trick!
[2021-02-04 08:59:35] Successfully loaded Stars lines done with STHS Client - 3.2.7.7
[2021-02-03 10:21:55] Thomas Chabot from Stars is back from Exhaustion.
[2021-02-03 10:21:51] Adam Henrique from Stars is back from Exhaustion.
[2021-02-03 10:21:40] Stars are expected to be under the minimum salary cap by 9 118 334 $!
[2021-02-03 10:21:34] Adam Henrique from Stars is injured from Exhaustion.
[2021-02-03 10:21:34] Mikko Rantanen from Stars is injured from Exhaustion.
[2021-02-03 10:21:34] Thomas Chabot from Stars is injured from Exhaustion.
[2021-02-03 10:21:10] Successfully loaded Stars lines done with STHS Client - 3.2.7.7
[2021-02-02 14:28:03] Successfully loaded Stars lines done with STHS Client - 3.2.7.7

Pas de Blessure ou de Suspension.

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

	Stars
	GP: 39 \| W: 21 \| L: 13 \| OTL: 5 \| P: 47 GF: 119 \| GA: 112 \| PP%: 19.77% \| PK%: 84.47% DG: Alain Belanger \| Morale : 53 \| Moyenne d'Équipe : 69 Prochain matchs #623 vs Senateurs