LAAHS - Wild

Victoriaville Tigres
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Profondeur
Historique
Dernière Transactions
Blessure/Suspension

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

#	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	Evgeny Kuznetsov	X	X	X		100.00	67	43	81	90	75	79	95	89	79	92	82	57	84	69	72	79	81	76	0
2	T.J. Oshie		X	X		100.00	84	45	84	82	71	79	89	89	49	80	86	66	91	76	80	81	86	76	0
3	Jakob Silfverberg		X	X		100.00	65	42	88	84	75	76	92	76	38	72	85	81	90	70	73	80	86	74	0
4	Chris Tierney	X				100.00	63	42	89	84	72	75	99	71	89	82	62	78	25	67	69	71	86	71	0
5	William Nylander	X	X	X		100.00	61	41	90	87	70	72	85	76	83	79	73	57	25	60	61	69	74	69	0
6	Frank Vatrano	X	X	X		100.00	82	44	86	82	70	68	78	73	37	66	78	63	25	64	64	76	86	68	0
7	Lawson Crouse		X			100.00	99	70	77	79	84	65	91	58	39	62	68	76	25	60	60	71	86	67	0
8	Adrian Kempe		X	X		100.00	76	44	82	81	73	68	98	71	73	66	69	65	41	57	58	70	86	67	0
9	Christian Dvorak	X	X			100.00	71	43	96	86	71	68	67	69	93	72	64	64	25	61	61	67	86	66	0
10	Jordan Greenway (R)		X			100.00	69	54	88	80	87	66	80	62	39	65	67	60	25	55	55	68	86	64	0
11	Chase De Leo	X				100.00	73	65	93	62	65	80	84	66	80	65	62	67	59	54	54	67	55	63	0
12	Kris Letang				X	100.00	83	45	79	90	73	96	89	89	25	77	67	83	81	76	83	78	86	79	1
13	Ryan Suter				X	100.00	75	54	85	85	75	98	97	85	25	74	52	79	25	86	90	71	86	77	1
14	Marc Staal				X	100.00	77	44	87	78	78	78	93	59	25	51	49	95	25	79	84	65	86	74	0
15	Brayden McNabb				X	100.00	90	47	81	76	80	79	96	58	25	51	48	90	25	69	71	65	86	73	0
16	Michal Kempny				X	100.00	77	44	76	76	70	78	79	58	25	62	49	83	25	58	60	65	86	68	0
17	Samuel Girard				X	100.00	71	42	97	88	59	79	95	72	25	65	47	62	25	58	59	64	86	67	0
Rayé
1	Brad Marchand		X	X		96.00	67	54	67	88	64	83	91	86	43	99	91	72	53	77	81	85	86	79	0
2	Jack Eichel	X		X		97.00	73	44	89	93	76	85	94	91	84	95	90	65	60	65	65	84	85	79	0
3	Anton Lindholm				X	100.00	77	71	90	68	71	65	70	46	25	36	39	64	37	56	56	52	29	58	0

	MOYENNE D'ÉQUIPE					99.65	75	49	85	82	73	77	88	72	50	71	66	71	44	66	68	71	81	71

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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Anton Khudobin	99.00	85	66	65	70	90	79	68	85	89	85	95	62	62	81	86	76	0
2	Linus Ullmark	100.00	70	73	70	88	72	68	56	72	75	70	95	51	51	70	87	68	0
Rayé

	MOYENNE D'ÉQUIPE	99.50	78	70	68	79	81	74	62	79	82	78	95	57	57	76	87	72

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Rick Tocchet	87	91	61	94	72	49	76	CAN	53	1	600,000$

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

#	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	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	P/20	PSG	PSS	FT	S1	S2	S3
1	Jack Eichel	Wild	C/RW	80	40	49	89	13	6	0	120	120	307	88	178	13.03%	44	1622	20.28	10	10	20	31	168	0	54	3	2	48.53%	1770	79	20	1	1.10	1	11	0	10	7	6
2	Brad Marchand	Wild	LW/RW	80	29	45	74	10	92	0	134	103	277	90	171	10.47%	32	1555	19.44	6	9	15	25	138	0	52	4	4	35.29%	102	65	36	1	0.95	0	6	0	6	6	4
3	Evgeny Kuznetsov	Wild	C/LW/RW	75	21	46	67	8	40	0	109	120	253	86	146	8.30%	22	1313	17.51	4	8	12	10	125	0	3	5	0	49.04%	1409	59	19	0	1.02	2	8	0	0	5	6
4	T.J. Oshie	Wild	LW/RW	82	29	33	62	32	16	0	138	82	229	56	141	12.66%	31	1490	18.18	2	10	12	14	147	1	13	4	5	42.39%	92	36	23	0	0.83	2	4	0	5	6	6
5	Chris Tierney	Wild	C	82	24	21	45	0	10	0	81	134	162	55	82	14.81%	32	1212	14.79	2	2	4	5	34	8	183	6	2	54.08%	919	27	24	2	0.74	1	6	0	6	3	3
6	Jakob Silfverberg	Wild	LW/RW	82	17	26	43	9	14	0	99	102	216	56	122	7.87%	46	1655	20.18	1	6	7	20	151	6	178	2	1	33.91%	115	41	28	0	0.52	0	3	0	3	3	4
7	Kris Letang	Wild	D	80	12	27	39	11	56	0	125	128	183	81	71	6.56%	97	1771	22.14	4	4	8	20	172	1	30	6	0	0.00%	0	37	53	1	0.44	0	1	0	1	5	4
8	William Nylander	Wild	C/LW/RW	73	14	18	32	4	8	0	45	55	127	35	77	11.02%	28	1020	13.98	1	1	2	8	25	0	1	3	5	50.72%	69	29	12	0	0.63	0	0	0	2	2	3
9	Frank Vatrano	Wild	C/LW/RW	82	13	17	30	-14	14	0	101	77	178	53	99	7.30%	33	1178	14.37	2	2	4	11	81	0	1	2	2	32.35%	102	28	21	0	0.51	0	0	0	2	1	3
10	Ryan Suter	Wild	D	81	5	24	29	5	26	0	98	138	119	48	59	4.20%	122	2004	24.75	3	3	6	13	173	5	194	2	0	0.00%	0	26	71	0	0.29	0	0	0	0	1	0
11	Christian Dvorak	Wild	C/LW	82	11	9	20	6	0	0	55	75	108	29	81	10.19%	19	803	9.80	0	0	0	0	2	4	115	1	2	52.79%	305	24	15	0	0.50	0	0	0	0	1	0
12	Adrian Kempe	Wild	LW/RW	82	10	9	19	6	30	0	77	51	102	20	70	9.80%	22	736	8.98	0	0	0	0	2	0	3	4	0	57.14%	14	28	9	0	0.52	0	0	0	0	1	2
13	Brayden McNabb	Wild	D	82	2	16	18	18	45	5	114	116	64	23	30	3.13%	125	1654	20.18	0	0	0	0	13	0	148	1	1	0.00%	0	6	57	0	0.22	0	1	1	0	0	1
14	Michal Kempny	Wild	D	82	2	16	18	13	34	0	93	112	63	29	33	3.17%	73	1418	17.30	2	4	6	5	125	2	138	0	1	0.00%	0	5	50	0	0.25	0	0	0	0	0	1
15	Jordan Greenway	Wild	LW	82	3	10	13	7	0	0	49	39	57	21	41	5.26%	10	719	8.77	0	1	1	0	28	1	13	1	1	30.00%	30	14	9	0	0.36	0	0	0	0	0	1
16	Lawson Crouse	Wild	LW	82	7	6	13	0	32	0	127	72	61	19	30	11.48%	19	1065	13.00	0	0	0	2	28	5	120	1	0	33.33%	36	11	31	1	0.24	0	0	0	1	1	0
17	Marc Staal	Wild	D	78	3	9	12	-9	8	0	85	124	76	37	28	3.95%	125	1659	21.28	1	0	1	2	17	2	186	1	0	0.00%	0	10	64	0	0.14	0	0	0	1	0	0
18	Samuel Girard	Wild	D	82	0	8	8	16	2	0	43	62	25	19	19	0.00%	58	1303	15.89	0	3	3	1	123	0	46	0	0	0.00%	0	8	35	0	0.12	0	0	0	0	0	1
19	Chris Terry	Victoriaville Tigres (MIW)	LW	19	0	1	1	2	0	0	10	1	3	1	0	0.00%	0	92	4.89	0	0	0	0	0	0	0	0	0	100.00%	1	0	2	0	0.22	0	0	0	0	0	0
20	Martin Marincin	Victoriaville Tigres (MIW)	D	9	0	1	1	0	10	0	3	6	4	3	3	0.00%	11	102	11.42	0	0	0	0	0	0	6	0	0	0.00%	0	1	5	0	0.19	0	0	0	0	0	0
21	Greg McKegg	Victoriaville Tigres (MIW)	C/LW	1	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.95	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0	0	0	0	0
22	Chase De Leo	Wild	C	5	0	0	0	-1	0	0	0	0	1	0	0	0.00%	1	17	3.42	0	0	0	0	0	1	5	0	0	33.33%	3	0	1	0	0.00	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1483	242	391	633	136	443	5	1706	1717	2615	849	1481	9.25%	950	24399	16.45	38	63	101	167	1562	36	1501	46	26	48.74%	4967	534	585	6	0.52	6	40	1	37	42	45

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Anton Khudobin	Wild	62	36	16	9	0.926	2.49	3663	10	152	2052	980	4	2	0.579	19	62	20	14	4	6
2	Linus Ullmark	Wild	23	14	6	1	0.920	2.59	1320	2	57	710	370	1	0	0.895	19	20	62	2	2	1
Stats d'équipe Total ou en Moyenne			85	50	22	10	0.924	2.52	4984	12	209	2762	1350	5	2	0.737	38	82	82	16	6	7

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

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
Adrian Kempe	Wild	LW/RW	21	1996-09-13	No	195 Lbs	6 ft2	No	No	No	3	Pro & Farm	2,000,000$	2,000,000$	13,986$	No	2,000,000$	2,000,000$				Lien
Anton Khudobin	Wild	G	32	1986-05-07	No	200 Lbs	5 ft11	Yes	No	No	1	Pro & Farm	2,500,000$	2,500,000$	17,483$	No						Lien
Anton Lindholm	Wild	D	23	1994-11-29	No	191 Lbs	6 ft1	No	No	No	0	Pro & Farm		0$	0$	No						Lien
Brad Marchand	Wild	LW/RW	30	1988-05-11	No	181 Lbs	5 ft9	No	No	No	3	Pro & Farm	6,125,000$	6,125,000$	42,832$	No	6,125,000$	6,125,000$				Lien
Brayden McNabb	Wild	D	27	1991-01-20	No	212 Lbs	6 ft4	No	No	No	3	Pro & Farm	2,500,000$	2,500,000$	17,483$	No	2,500,000$	2,500,000$				Lien
Chase De Leo	Wild	C	22	1995-10-25	No	185 Lbs	5 ft9	No	No	No	1	Pro & Farm	750,000$	750,000$	5,245$	No						Lien
Chris Tierney	Wild	C	24	1994-07-01	No	195 Lbs	6 ft1	No	No	No	1	Pro & Farm	2,937,500$	2,937,500$	20,542$	No						Lien
Christian Dvorak	Wild	C/LW	22	1996-02-02	No	195 Lbs	6 ft0	No	No	No	6	Pro & Farm	4,450,000$	4,450,000$	31,119$	No	4,450,000$	4,450,000$	4,450,000$	4,450,000$	4,450,000$	Lien
Evgeny Kuznetsov	Wild	C/LW/RW	26	1992-05-19	No	204 Lbs	6 ft2	No	No	No	3	Pro & Farm	7,800,000$	7,800,000$	54,545$	No	7,800,000$	7,800,000$				Lien
Frank Vatrano	Wild	C/LW/RW	24	1994-03-14	No	201 Lbs	5 ft9	No	No	No	3	Pro & Farm	2,533,333$	2,533,333$	17,716$	No	2,533,333$	2,533,333$				Lien
Jack Eichel	Wild	C/RW	21	1996-10-28	No	206 Lbs	6 ft2	No	No	No	3	Pro & Farm	10,000,000$	10,000,000$	69,930$	No	10,000,000$	10,000,000$				Lien
Jakob Silfverberg	Wild	LW/RW	27	1990-10-13	No	202 Lbs	6 ft2	No	No	No	5	Pro & Farm	5,250,000$	5,250,000$	36,713$	No	5,250,000$	5,250,000$	5,250,000$	5,250,000$		Lien
Jordan Greenway	Wild	LW	21	1997-02-16	Yes	226 Lbs	6 ft6	No	No	No	2	Pro & Farm	916,666$	916,666$	6,410$	No	916,666$					Lien
Kris Letang	Wild	D	31	1987-04-24	No	201 Lbs	6 ft0	No	No	No	3	Pro & Farm	7,250,000$	7,250,000$	50,699$	No	7,250,000$	7,250,000$				Lien
Lawson Crouse	Wild	LW	21	1997-06-23	No	220 Lbs	6 ft4	No	No	No	3	Pro & Farm	1,533,333$	1,533,333$	10,723$	No	1,533,333$	1,533,333$				Lien
Linus Ullmark	Wild	G	24	1993-07-30	No	221 Lbs	6 ft4	No	No	No	1	Pro & Farm	1,135,000$	1,135,000$	7,937$	No						Lien
Marc Staal	Wild	D	31	1987-01-12	No	209 Lbs	6 ft4	No	No	No	1	Pro & Farm	4,500,000$	4,500,000$	31,469$	No						Lien
Michal Kempny	Wild	D	27	1990-09-08	No	194 Lbs	6 ft0	No	No	No	3	Pro & Farm	2,500,000$	2,500,000$	17,483$	No	2,500,000$	2,500,000$				Lien
Ryan Suter	Wild	D	33	1985-01-20	No	202 Lbs	6 ft2	No	No	No	5	Pro & Farm	7,538,462$	7,538,462$	52,717$	No	7,538,462$	7,538,462$	7,538,462$	7,538,462$		Lien
Samuel Girard	Wild	D	20	1998-05-12	No	162 Lbs	5 ft10	No	No	No	1	Pro & Farm	728,333$	728,333$	5,093$	No						Lien
T.J. Oshie	Wild	LW/RW	31	1986-12-23	No	195 Lbs	6 ft0	No	No	No	3	Pro & Farm	4,250,000$	4,250,000$	29,720$	No	4,250,000$	4,250,000$				Lien
William Nylander	Wild	C/LW/RW	22	1996-05-01	No	191 Lbs	6 ft0	No	No	No	5	Pro & Farm	6,962,366$	6,962,366$	48,688$	No	6,962,366$	6,962,366$	6,962,366$	6,962,366$		Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	25.45	199 Lbs	6 ft1	2.68	3,825,454$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
84,159,993$	71,609,160$	70,692,494$	24,200,828$	24,200,828$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1		Evgeny Kuznetsov	T.J. Oshie	35	0	2	3
2	Jakob Silfverberg	Chris Tierney	William Nylander	35	0	2	3
3	Lawson Crouse	Christian Dvorak	Frank Vatrano	20	2	2	1
4	Jordan Greenway	Chase De Leo	Adrian Kempe	10	2	3	0

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Marc Staal	Ryan Suter	40	1	2	2
2	Kris Letang	Brayden McNabb	35	1	2	2
3	Michal Kempny	Samuel Girard	25	1	2	2
4	Kris Letang	Ryan Suter	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1		Evgeny Kuznetsov	T.J. Oshie	50	0	1	4
2	Jakob Silfverberg	Chris Tierney	William Nylander	50	0	0	5

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kris Letang	Ryan Suter	60	0	1	4
2	Michal Kempny	Samuel Girard	40	0	2	3

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Chris Tierney	Jakob Silfverberg	55	0	4	1
2	Chase De Leo	Lawson Crouse	45	0	5	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brayden McNabb	Marc Staal	60	1	2	2
2	Kris Letang	Michal Kempny	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Chris Tierney	60	0	5	0	Marc Staal	Ryan Suter	60	0	5	0
2	Chase De Leo	40	0	5	0	Brayden McNabb	Michal Kempny	40	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Evgeny Kuznetsov	T.J. Oshie	60	1	2	2
2	Chris Tierney	Jakob Silfverberg	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Marc Staal	Ryan Suter	60	1	2	2
2	Kris Letang	Brayden McNabb	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
William Nylander	Evgeny Kuznetsov	T.J. Oshie	Kris Letang	Ryan Suter

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jakob Silfverberg	Chris Tierney		Brayden McNabb	Marc Staal

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jordan Greenway, William Nylander, Frank Vatrano	Jordan Greenway, Evgeny Kuznetsov	Frank Vatrano

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Michal Kempny, Samuel Girard, Marc Staal	Michal Kempny	Samuel Girard, Marc Staal

Tirs de Pénalité
Evgeny Kuznetsov, William Nylander, T.J. Oshie, Jakob Silfverberg, Chris Tierney

Gardien
#1 : Anton Khudobin, #2 : Linus Ullmark

Lignes d'Attaque Perso. en Prol.
Evgeny Kuznetsov, William Nylander, T.J. Oshie, Jakob Silfverberg, Chris Tierney, Frank Vatrano, Frank Vatrano, Lawson Crouse, Adrian Kempe, Christian Dvorak, Chase De Leo

Lignes de Défense Perso. en Prol.
Kris Letang, Ryan Suter, Marc Staal, Brayden McNabb, Michal Kempny

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	3	1	1	0	0	0	0	1	5	7	-2	1	0	1	0	0	0	0	0	1	3	-2	2	1	0	0	0	0	0	1	4	4	0	3	0.500	5	8	13	1	0	2	2	1	0	102	46	27	29	6	103	44	12	56	4	1	25.00%	7	1	85.71%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	65	39	68	25	51	26
2	Blackhawks	4	2	0	0	0	0	0	2	13	11	2	2	1	0	0	0	0	0	1	8	7	1	2	1	0	0	0	0	0	1	5	4	1	6	0.750	13	21	34	0	0	2	4	7	0	136	38	39	54	11	136	53	20	85	13	4	30.77%	10	1	90.00%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	89	51	88	36	72	36
3	Blues	2	1	1	0	0	0	0	0	6	6	0	1	0	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	3	2	1	2	0.500	6	10	16	0	0	1	2	3	0	55	20	18	17	0	67	21	10	43	4	2	50.00%	5	0	100.00%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	44	25	36	17	39	19
4	Bruins	2	1	0	0	0	0	1	0	5	2	3	1	0	0	0	0	0	1	0	2	1	1	1	1	0	0	0	0	0	0	3	1	2	4	1.000	5	6	11	0	0	0	0	4	1	70	18	21	30	3	65	18	4	50	6	1	16.67%	2	0	100.00%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	50	31	38	16	35	18
5	Canadiens	2	0	1	0	1	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	1	3	-2	1	0	0	0	1	0	0	0	2	1	1	2	0.500	3	4	7	0	0	0	1	1	1	56	18	23	13	2	60	21	12	38	0	0	0.00%	6	0	100.00%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	40	22	44	17	36	16
6	Canucks	2	0	1	0	1	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	3	5	-2	1	0	0	0	1	0	0	0	3	2	1	2	0.500	6	8	14	0	0	0	3	2	1	70	16	31	22	1	71	15	6	45	7	0	0.00%	3	0	100.00%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	44	27	39	18	35	18
7	Capitals	3	2	1	0	0	0	0	0	11	9	2	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	5	3	2	4	0.667	11	21	32	0	0	3	4	4	0	104	23	52	29	0	95	29	14	64	9	1	11.11%	7	2	71.43%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	69	42	60	24	50	25
8	Devils	3	0	2	0	0	0	1	0	8	9	-1	2	0	2	0	0	0	0	0	5	7	-2	1	0	0	0	0	0	1	0	3	2	1	2	0.333	8	11	19	0	0	2	1	4	1	84	26	26	31	5	102	26	14	64	10	0	0.00%	7	1	85.71%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	64	36	66	29	53	26
9	Ducks	2	0	2	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	3	5	8	0	0	2	1	0	0	63	25	21	17	0	69	21	6	47	5	1	20.00%	3	1	66.67%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	46	28	39	16	33	16
10	Flames	4	0	3	0	0	0	0	1	14	22	-8	2	0	2	0	0	0	0	0	7	12	-5	2	0	1	0	0	0	0	1	7	10	-3	1	0.125	14	21	35	0	0	6	4	4	0	145	48	30	65	8	143	38	20	71	8	1	12.50%	10	3	70.00%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	83	50	91	36	69	33
11	Flyers	3	3	0	0	0	0	0	0	8	4	4	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	2	1	1	6	1.000	8	12	20	0	0	1	6	1	0	81	39	24	18	0	101	42	18	62	5	1	20.00%	9	0	100.00%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	61	34	66	28	52	26
12	Golden Knights	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	4	1.000	8	13	21	0	0	4	2	2	0	69	25	19	25	0	64	20	18	39	2	1	50.00%	9	1	88.89%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	44	27	42	18	32	15
13	Golden Seals	2	1	0	0	0	0	0	1	5	5	0	1	0	0	0	0	0	0	1	3	4	-1	1	1	0	0	0	0	0	0	2	1	1	3	0.750	5	9	14	0	0	1	2	2	0	59	26	21	12	2	68	22	14	33	2	0	0.00%	7	1	85.71%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	43	26	47	18	34	16
14	Islanders	4	2	2	0	0	0	0	0	13	12	1	2	1	1	0	0	0	0	0	7	5	2	2	1	1	0	0	0	0	0	6	7	-1	4	0.500	13	21	34	0	0	3	4	6	0	132	33	63	36	0	141	41	36	101	12	2	16.67%	18	6	66.67%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	84	46	83	37	72	36
15	Jets	2	2	0	0	0	0	0	0	10	6	4	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	4	2	2	4	1.000	10	15	25	0	0	1	1	8	0	72	25	26	21	0	57	23	6	47	2	1	50.00%	3	0	100.00%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	44	27	39	17	35	17
16	Kings	2	1	0	0	0	1	0	0	4	4	0	1	0	0	0	0	1	0	0	2	3	-1	1	1	0	0	0	0	0	0	2	1	1	3	0.750	4	7	11	0	0	0	3	1	0	72	10	36	26	0	67	24	10	43	2	0	0.00%	5	1	80.00%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	44	25	41	17	35	17
17	Lightning	4	2	0	0	0	0	0	2	13	13	0	2	2	0	0	0	0	0	0	8	6	2	2	0	0	0	0	0	0	2	5	7	-2	6	0.750	13	22	35	0	0	1	4	8	1	126	36	44	39	13	141	52	26	90	13	2	15.38%	13	3	76.92%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	89	50	85	37	74	37
18	Maple Leafs	4	2	0	0	2	0	0	0	16	9	7	2	2	0	0	0	0	0	0	8	3	5	2	0	0	0	2	0	0	0	8	6	2	8	1.000	16	24	40	0	0	2	7	5	2	117	34	44	37	2	145	49	18	69	11	2	18.18%	9	2	77.78%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	83	47	84	35	72	37
19	Maroons	5	1	2	0	1	1	0	0	12	16	-4	2	1	0	0	1	0	0	0	6	3	3	3	0	2	0	0	1	0	0	6	13	-7	5	0.500	12	21	33	1	0	1	6	4	1	161	47	59	54	1	188	74	24	109	11	2	18.18%	12	2	83.33%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	105	59	110	45	89	44
20	Nordiques	2	2	0	0	0	0	0	0	9	3	6	1	1	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	3	1	2	4	1.000	9	17	26	0	0	1	5	3	0	60	20	27	13	0	67	26	10	57	5	3	60.00%	6	1	83.33%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	43	25	41	17	34	17
21	Oilers	2	2	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	3	1	2	4	1.000	5	8	13	0	0	1	1	3	0	72	20	30	22	0	65	18	6	35	3	0	0.00%	3	0	100.00%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	45	27	41	16	33	16
22	Panthers	3	3	0	0	0	0	0	0	11	6	5	1	1	0	0	0	0	0	0	4	2	2	2	2	0	0	0	0	0	0	7	4	3	6	1.000	11	18	29	0	0	4	4	3	0	74	24	25	25	0	99	41	21	53	14	3	21.43%	8	1	87.50%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	64	33	61	27	54	29
23	Penguins	2	1	0	0	0	0	1	0	7	4	3	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	0	0	1	0	3	2	1	4	1.000	7	10	17	0	0	2	3	1	1	55	12	18	23	5	66	25	8	48	5	2	40.00%	4	0	100.00%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	41	23	46	19	37	19
24	Rangers	4	3	1	0	0	0	0	0	11	11	0	2	1	1	0	0	0	0	0	5	8	-3	2	2	0	0	0	0	0	0	6	3	3	6	0.750	11	16	27	0	0	5	4	2	0	131	36	49	46	0	116	41	30	83	7	2	28.57%	14	3	78.57%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	90	54	79	34	70	34
25	Red Wings	2	1	1	0	0	0	0	0	7	4	3	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	5	1	4	2	0.500	7	12	19	0	0	0	2	5	0	64	16	19	29	0	65	25	8	43	6	4	66.67%	4	1	75.00%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	42	24	43	18	34	17
26	Sabres	2	2	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	4	2	2	4	1.000	10	17	27	0	0	2	5	3	0	68	11	25	32	0	53	24	24	34	4	1	25.00%	12	1	91.67%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	43	24	40	20	36	16
27	Senateurs	3	1	1	0	1	0	0	0	9	9	0	2	1	0	0	1	0	0	0	7	4	3	1	0	1	0	0	0	0	0	2	5	-3	4	0.667	9	13	22	0	0	3	4	1	1	100	35	31	32	2	110	42	18	65	5	0	0.00%	9	2	77.78%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	63	37	67	26	51	26
28	Sharks	3	0	2	0	0	1	0	0	5	10	-5	1	0	0	0	0	1	0	0	2	3	-1	2	0	2	0	0	0	0	0	3	7	-4	1	0.167	5	8	13	0	0	2	1	2	0	94	34	38	22	0	106	28	20	43	7	1	14.29%	10	0	100.00%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	62	34	66	27	51	25
29	Stars	4	1	1	0	1	0	1	0	9	9	0	2	0	0	0	1	0	1	0	4	2	2	2	1	1	0	0	0	0	0	5	7	-2	6	0.750	9	13	22	0	0	3	3	1	3	123	39	41	36	10	134	47	22	90	8	0	0.00%	11	2	81.82%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	88	50	86	37	72	37
	Total	82	39	22	0	7	3	4	7	246	218	28	41	19	13	0	3	2	2	2	130	113	17	41	20	9	0	4	1	2	5	116	105	11	110	0.671	246	391	637	2	0	55	89	91	13	2615	800	927	855	71	2764	950	455	1707	190	38	20.00%	226	36	84.07%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	1786	1037	1751	738	1453	725
	_Since Last GM Reset	82	39	22	0	7	3	4	7	246	218	28	41	19	13	0	3	2	2	2	130	113	17	41	20	9	0	4	1	2	5	116	105	11	110	0.671	246	391	637	2	0	55	89	91	13	2615	800	927	855	71	2764	950	455	1707	190	38	20.00%	226	36	84.07%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	1786	1037	1751	738	1453	725
	_Vs Conference	44	21	8	0	6	2	2	5	141	121	20	22	13	3	0	3	1	1	1	79	56	23	22	8	5	0	3	1	1	4	62	65	-3	65	0.739	141	224	365	1	0	28	61	44	10	1388	409	474	476	53	1521	552	245	921	111	21	18.92%	121	19	84.30%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	946	541	953	403	788	397
	_Vs Division	25	8	6	0	4	1	1	5	77	80	-3	12	6	2	0	2	0	1	1	41	33	8	13	2	4	0	2	1	0	4	36	47	-11	32	0.640	77	122	199	1	0	15	28	29	7	808	242	257	285	45	887	313	130	514	64	11	17.19%	65	13	80.00%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	541	309	547	227	451	227

			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
82	110	W3	246	391	637	2615	2764	950	455	1707	2	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	39	22	7	3	4	7	246	218

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	19	13	3	2	2	2	130	113

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	20	9	4	1	2	5	116	105

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
6	1	2	0	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
190	38	20.00%	226	36	84.07%	0

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
800	927	855	71	55	89	91	13

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
879	1808	48.62%	980	1950	50.26%	562	1145	49.08%

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
1786	1037	1751	738	1453	725

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	RI	Lien
2 - 2019-10-05	14	Lightning	3	Wild	4	W				Sommaire du Match
3 - 2019-10-06	33	Wild	3	Panthers	2	W				Sommaire du Match
5 - 2019-10-08	44	Flyers	2	Wild	4	W				Sommaire du Match
6 - 2019-10-09	52	Wild	2	Maroons	3	L	X			Sommaire du Match
8 - 2019-10-11	69	Flames	6	Wild	4	L				Sommaire du Match
10 - 2019-10-13	88	Wild	4	Islanders	3	W				Sommaire du Match
11 - 2019-10-14	100	Blackhawks	3	Wild	2	L	X	X		Sommaire du Match
14 - 2019-10-17	115	Wild	4	Lightning	5	L	X	X		Sommaire du Match
15 - 2019-10-18	132	Capitals	4	Wild	2	L				Sommaire du Match
17 - 2019-10-20	151	Senateurs	1	Wild	3	W				Sommaire du Match
18 - 2019-10-21	158	Wild	3	Penguins	2	W	X	X		Sommaire du Match
20 - 2019-10-23	173	Wild	2	Flames	4	L				Sommaire du Match
21 - 2019-10-24	187	Wild	3	Rangers	2	W				Sommaire du Match
23 - 2019-10-26	200	Maple Leafs	1	Wild	3	W				Sommaire du Match
25 - 2019-10-28	219	Devils	3	Wild	2	L				Sommaire du Match
27 - 2019-10-30	237	Wild	1	Maroons	3	L				Sommaire du Match
28 - 2019-10-31	250	Lightning	3	Wild	4	W				Sommaire du Match
31 - 2019-11-03	266	Wild	2	Islanders	4	L				Sommaire du Match
32 - 2019-11-04	279	Wild	2	Canadiens	1	W	X			Sommaire du Match
34 - 2019-11-06	291	Golden Knights	2	Wild	4	W				Sommaire du Match
35 - 2019-11-07	307	Wild	3	Devils	2	W	X	X		Sommaire du Match
37 - 2019-11-09	322	Blackhawks	4	Wild	6	W				Sommaire du Match
39 - 2019-11-11	340	Devils	4	Wild	3	L				Sommaire du Match
40 - 2019-11-12	352	Wild	5	Flames	6	L	X	X		Sommaire du Match
43 - 2019-11-15	371	Flyers	1	Wild	2	W				Sommaire du Match
44 - 2019-11-16	384	Wild	2	Flyers	1	W				Sommaire du Match
45 - 2019-11-17	398	Jets	4	Wild	6	W				Sommaire du Match
47 - 2019-11-19	412	Wild	4	Jets	2	W				Sommaire du Match
50 - 2019-11-22	430	Bruins	1	Wild	2	W	X	X		Sommaire du Match
51 - 2019-11-23	444	Wild	1	Lightning	2	L	X	X		Sommaire du Match
52 - 2019-11-24	456	Wild	3	Rangers	1	W				Sommaire du Match
54 - 2019-11-26	471	Maple Leafs	2	Wild	5	W				Sommaire du Match
56 - 2019-11-28	488	Penguins	2	Wild	4	W				Sommaire du Match
58 - 2019-11-30	507	Wild	4	Stars	2	W				Sommaire du Match
60 - 2019-12-02	520	Nordiques	2	Wild	6	W				Sommaire du Match
62 - 2019-12-04	538	Wild	4	Sabres	2	W			R3	Sommaire du Match
64 - 2019-12-06	549	Wild	3	Blackhawks	1	W				Sommaire du Match
65 - 2019-12-07	561	Canadiens	3	Wild	1	L				Sommaire du Match
67 - 2019-12-09	578	Flames	6	Wild	3	L				Sommaire du Match
69 - 2019-12-11	597	Wild	3	Nordiques	1	W				Sommaire du Match
70 - 2019-12-12	609	Wild	2	Blackhawks	3	L	X	X		Sommaire du Match
72 - 2019-12-14	625	Golden Seals	4	Wild	3	L	X	X		Sommaire du Match
73 - 2019-12-15	642	Canucks	5	Wild	3	L				Sommaire du Match
75 - 2019-12-17	654	Wild	4	Golden Knights	2	W				Sommaire du Match
77 - 2019-12-19	669	Red Wings	3	Wild	2	L				Sommaire du Match
79 - 2019-12-21	687	Wild	3	Maroons	7	L				Sommaire du Match
81 - 2019-12-23	698	Avalanche	3	Wild	1	L				Sommaire du Match
83 - 2019-12-25	715	Wild	3	Bruins	1	W				Sommaire du Match
84 - 2019-12-26	731	Oilers	1	Wild	2	W				Sommaire du Match
86 - 2019-12-28	744	Wild	1	Sharks	4	L				Sommaire du Match
88 - 2019-12-30	762	Senateurs	3	Wild	4	W	X			Sommaire du Match
90 - 2020-01-01	780	Wild	4	Panthers	2	W				Sommaire du Match
91 - 2020-01-02	789	Wild	2	Golden Seals	1	W				Sommaire du Match
92 - 2020-01-03	801	Kings	3	Wild	2	L	X			Sommaire du Match
95 - 2020-01-06	819	Capitals	2	Wild	4	W				Sommaire du Match
96 - 2020-01-07	837	Wild	5	Red Wings	1	W				Sommaire du Match
98 - 2020-01-09	845	Wild	5	Capitals	3	W				Sommaire du Match
100 - 2020-01-11	862	Ducks	3	Wild	2	L				Sommaire du Match
102 - 2020-01-13	879	Maroons	1	Wild	3	W				Sommaire du Match
105 - 2020-01-16	898	Wild	3	Canucks	2	W	X			Sommaire du Match
106 - 2020-01-17	909	Rangers	6	Wild	1	L				Sommaire du Match
107 - 2020-01-18	922	Wild	1	Stars	5	L				Sommaire du Match
110 - 2020-01-21	939	Blues	4	Wild	3	L				Sommaire du Match
111 - 2020-01-22	959	Maroons	2	Wild	3	W	X			Sommaire du Match
113 - 2020-01-24	974	Wild	2	Kings	1	W				Sommaire du Match
114 - 2020-01-25	987	Wild	1	Ducks	3	L				Sommaire du Match
115 - 2020-01-26	1001	Sabres	2	Wild	6	W			R3	Sommaire du Match
118 - 2020-01-29	1022	Wild	5	Maple Leafs	4	W	X			Sommaire du Match
120 - 2020-01-31	1034	Sharks	3	Wild	2	L	X			Sommaire du Match
121 - 2020-02-01	1051	Wild	2	Senateurs	5	L				Sommaire du Match
123 - 2020-02-03	1067	Stars	1	Wild	2	W	X	X		Sommaire du Match
125 - 2020-02-05	1083	Islanders	3	Wild	2	L				Sommaire du Match
127 - 2020-02-07	1098	Wild	2	Sharks	3	L				Sommaire du Match
128 - 2020-02-08	1112	Stars	1	Wild	2	W	X			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
131 - 2020-02-11	1141	Panthers	2	Wild	4	W				Sommaire du Match
133 - 2020-02-13	1159	Wild	2	Avalanche	3	L	X	X		Sommaire du Match
134 - 2020-02-14	1170	Rangers	2	Wild	4	W				Sommaire du Match
135 - 2020-02-15	1173	Wild	3	Oilers	1	W				Sommaire du Match
137 - 2020-02-17	1193	Wild	3	Maple Leafs	2	W	X			Sommaire du Match
138 - 2020-02-18	1202	Islanders	2	Wild	5	W				Sommaire du Match
140 - 2020-02-20	1214	Wild	3	Blues	2	W				Sommaire du Match
141 - 2020-02-21	1215	Wild	2	Avalanche	1	W				Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6000	5000	2000	4000	1000
Prix des Billets	100	60	35	20	200
Assistance	193,325	196,370	78,535	158,468	30,601
Attendance PCT	78.59%	95.79%	95.77%	96.63%	74.64%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	16032 - 89.06%	1,568,243$	64,297,946$	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
82,819,772$	84,159,993$	72,584,993$	0$	0$

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
84,159,993$	82,547,046$	0$	21	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	1	592,727$	592,727$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
592,727$	84,819,993$	25,564,729$	24,972,002$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Brad Marchand	AGE:30	PO:85	OV:79
T.J. Oshie	AGE:31	PO:81	OV:76
Evgeny Kuznetsov	AGE:26	PO:79	OV:76
Jakob Silfverberg	AGE:27	PO:80	OV:74
William Nylander	AGE:22	PO:69	OV:69
Frank Vatrano	AGE:24	PO:76	OV:68
Lawson Crouse	AGE:21	PO:71	OV:67
Adrian Kempe	AGE:21	PO:70	OV:67
Christian Dvorak	AGE:22	PO:67	OV:66
*Jordan Greenway	AGE:21	PO:68	OV:64
Chris Terry	AGE:29	PO:68	OV:64
Rudolfs Balcers	AGE:21	PO:67	OV:61
Greg McKegg	AGE:26	PO:67	OV:61
Paul Bittner	AGE:21	PO:63	OV:60
Austin Wagner	AGE:21	PO:67	OV:59
*Brett Seney	AGE:22	PO:63	OV:58
Taylor Leier	AGE:24	PO:63	OV:58
Nic Petan	AGE:23	PO:59	OV:57
*Tyler Steenbergen	AGE:20	PO:59	OV:56
Stefan Matteau	AGE:24	PO:55	OV:55

Jack Eichel	AGE:21	PO:84	OV:79
Evgeny Kuznetsov	AGE:26	PO:79	OV:76
Chris Tierney	AGE:24	PO:71	OV:71
William Nylander	AGE:22	PO:69	OV:69
Frank Vatrano	AGE:24	PO:76	OV:68
Christian Dvorak	AGE:22	PO:67	OV:66
Chase De Leo	AGE:22	PO:67	OV:63
Greg McKegg	AGE:26	PO:67	OV:61
*Kevin Stenlund	AGE:21	PO:64	OV:59
*Brett Seney	AGE:22	PO:63	OV:58
Nic Petan	AGE:23	PO:59	OV:57
Blake Speers	AGE:21	PO:56	OV:57
*Tyler Steenbergen	AGE:20	PO:59	OV:56
*Maximilian Kammerer	AGE:21	PO:56	OV:55
*Igor Shvyrev	AGE:19	PO:55	OV:54

Brad Marchand	AGE:30	PO:85	OV:79
Jack Eichel	AGE:21	PO:84	OV:79
T.J. Oshie	AGE:31	PO:81	OV:76
Evgeny Kuznetsov	AGE:26	PO:79	OV:76
Jakob Silfverberg	AGE:27	PO:80	OV:74
William Nylander	AGE:22	PO:69	OV:69
Frank Vatrano	AGE:24	PO:76	OV:68
Adrian Kempe	AGE:21	PO:70	OV:67
*Kevin Stenlund	AGE:21	PO:64	OV:59
Nic Petan	AGE:23	PO:59	OV:57
Blake Speers	AGE:21	PO:56	OV:57
Scott Kosmachuk	AGE:24	PO:60	OV:56
*Tyler Steenbergen	AGE:20	PO:59	OV:56
*Kole Lind	AGE:19	PO:55	OV:54

Défense #1

Défense #2

Gardien

Kris Letang	AGE:31	PO:78	OV:79
Ryan Suter	AGE:33	PO:71	OV:77
Marc Staal	AGE:31	PO:65	OV:74
Brayden McNabb	AGE:27	PO:65	OV:73
Michal Kempny	AGE:27	PO:65	OV:68
Samuel Girard	AGE:20	PO:64	OV:67
Martin Marincin	AGE:26	PO:59	OV:63
Devon Toews	AGE:24	PO:62	OV:62
*Mario Ferraro	AGE:19	PO:70	OV:61

Griffin Reinhart	AGE:24	PO:55	OV:61
Alexandre Carrier	AGE:21	PO:56	OV:60
Dillon Simpson	AGE:25	PO:54	OV:60
Tucker Poolman	AGE:25	PO:58	OV:59
*Keaton Middleton	AGE:20	PO:53	OV:59
Tim Heed	AGE:27	PO:60	OV:58
Anton Lindholm	AGE:23	PO:52	OV:58
Jalen Chatfield	AGE:22	PO:51	OV:55

Anton Khudobin	AGE:32	PO:81	OV:76
Linus Ullmark	AGE:24	PO:70	OV:68
*Michael Garteig	AGE:26	PO:59	OV:58
*Stuart Skinner	AGE:19	PO:50	OV:53
*Callum Booth	AGE:21	PO:49	OV:51

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
Andrei Mironov	Wild
Andrei Svetlakov	Wild	2017	166
Arvid Holm	Wild	2017	186
Avery Peterson	Wild	2013	167
Benoit-Olivier Groulx	Wild	2018	39
Clark Seymour	Wild
Colten Ellis	Wild	2019	84
Connor McMichael	Wild	2019	29
Conor Timmins	Wild	2017	34
EVAN SMITH	Wild	2015	142
Elmer Soderblom	Wild	2019	170
Eric Locke	Wild	2013	189
Evan Bouchard	Wild	2018	9
FREDRIK LARSSON	Wild	2012	115
Frederik Nissen	Wild	2019	156
Gavin Hain	Wild	2018	155
IAKOV TRENIN	Wild	2015	43
Ilya Konovalov	Wild	2019	59
Jack Flinn	Wild
Jack Glover	Wild	2014	56
Jack Studnicka	Wild	2017	64
Jacob Golden	Wild	2017	193
Jakub Culek	Wild	2010	82
Jesper Pettersson	Wild
Joel Hofer	Wild	2018	129
John Farinacci	Wild	2019	62
Josiah Slavin	Wild	2018	146
Justin Schutz	Wild	2018	178
KARLIS CUKSTE	Wild	2015	165
Kirill Marchenko	Wild	2018	69
Kirill Slepets	Wild	2019	160
MARCUS VELA	Wild	2015	203
Mac Hollowell	Wild	2018	141
Maksim Zhukov	Wild	2017	119
Marshall Warren	Wild	2019	92
Matthew Thiessen	Wild	2018	190
Max William	Wild	2014	155
Mikhail Shalagin	Wild	2019	114
Nick Latta	Wild
Nicklaus Perbix	Wild	2017	184
Nicolas Beaudin	Wild	2018	35
Oliver Wahlstrom	Wild	2018	7
Quinton Howden	Wild
Roddy Ross	Wild	2019	153
Rodrigo Abols	Wild	2016	193
Ryder Donovan	Wild	2019	119
Samuel Ersson	Wild	2018	159
Simon Holmstrom	Wild	2019	34
Tyler Wall	Wild	2016	187
Victor Brattstrom	Wild	2018	189
WESLEY MYRON	Wild	2012	178
Yegor Spiridonov	Wild	2019	89

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7	R8
2020	MIW	MIW	MIW PIT	MTL MIW OTT	MIW	MIW NJD		MIW
2021	MIW	MIW	MIW PHI NJD	MIW	MIW	MIW	MIW	MIW
2022	MIW	MIW	MIW	MIW	MIW	MIW	MIW	MIW
2023	MIW	MIW	MIW	MIW	MIW	MIW	MIW	MIW
2024	MIW	MIW	MIW	MIW	MIW	MIW	MIW	MIW

[2019-11-30 12:30:59] - Mario Ferraro was added to Wild.
[2019-10-10 17:38:13] - TRADE : From Wild to Senateurs : Ryan Hartman (65).
[2019-10-10 17:38:13] - TRADE : From Senateurs to Wild : Y:2020-RND:4-OTT.
[2019-09-23 15:08:24] - Victoriaville Tigres hired Aaron Schneekloth for 60 000 $ for 1 year(s).
[2019-09-22 12:06:18] - Eddie Lack was released.
[2019-09-22 12:06:18] - Michael Leighton was released.
[2019-09-22 11:35:10] - TRADE : From Wild to Penguins : Adam Lowry (69), Y:2020-RND:6-COL.
[2019-09-22 11:35:10] - TRADE : From Penguins to Wild : Keaton Middleton (59), IAKOV TRENIN (P), Y:2020-RND:3-PIT.
[2019-09-22 11:34:36] - TRADE : From Wild to Flyers : Nikita Zadorov (70), Y:2020-RND:7-MIW.
[2019-09-22 11:34:36] - TRADE : From Flyers to Wild : Alexandre Carrier (61), Y:2021-RND:3-PHI.
[2019-09-08 15:32:36] - Wild hired Rick Tocchet for 600 000 $ for 1 year(s).
[2019-09-08 15:23:53] - Frank Vatrano signed with Wild for 2 533 333 $ for 3 year(s).
[2019-09-08 15:23:53] - Frank Vatrano was added to Wild.
[2019-09-05 20:15:15] - Adrian Kempe signed with Wild for 2 000 000 $ for 3 year(s).
[2019-09-05 20:15:15] - Adrian Kempe was added to Wild.
[2019-09-05 19:34:50] - TRADE : From Wild to Canadiens : John Moore (70).
[2019-09-05 19:34:50] - TRADE : From Canadiens to Wild : Stuart Skinner (53), Y:2020-RND:4-MTL.

[2020-04-27 19:39:11] Brad Marchand from Wild is back from Exhaustion.
[2020-04-27 19:35:16] Jack Eichel from Wild is back from Exhaustion.
[2020-04-27 19:35:14] Brad Marchand from Wild is injured from Exhaustion.
[2020-04-27 19:34:30] Successfully loaded Wild lines done with STHS Client - 3.2.0.5
[2020-04-27 19:34:30] Chase De Leo of Wild was sent to pro.
[2020-04-27 19:34:30] Chris Terry of Wild was sent down to farm.
[2020-04-27 19:34:30] Wild placed Chris Terry on waivers.
[2020-04-24 15:19:28] Brad Marchand from Wild is back from Exhaustion.
[2020-04-24 15:18:41] Wild lines for next game are empty. Current rosters/lines are not erased.
[2020-04-24 15:18:41] Last 7 Days Pro Star : 1 - Jack Eichel of Wild (4-6-10) / 2 - Blake Wheeler of Canucks (4-7-11) / 3 - Mika Zibanejad of Canucks (3-7-10)
[2020-04-24 15:18:41] Jack Eichel from Wild is injured from Exhaustion.
[2020-04-24 15:18:41] Brad Marchand from Wild is injured from Exhaustion.
[2020-04-24 15:18:38] Auto Lines Function has been run for Wild.
[2020-04-24 15:04:45] Auto Lines Function has been run for Wild.
[2020-04-24 15:04:45] Auto Roster Partial Function has been run for Wild.
[2020-04-22 17:07:59] Jack Eichel from Wild is back from Exhaustion.
[2020-04-22 17:04:30] Wild lines for next game are empty. Current rosters/lines are not erased.
[2020-04-22 17:04:30] Jack Eichel from Wild is injured from Exhaustion.
[2020-04-21 15:53:12] Wild lines for next game are empty. Current rosters/lines are not erased.
[2020-04-21 15:53:09] Auto Lines Function has been run for Wild.
[2020-04-21 15:52:06] Michael Garteig of Wild was sent to farm.
[2020-04-21 15:52:02] Wild are expected to be over the salary cap by 428 326 $!
[2020-04-21 15:51:47] Auto Roster Partial Function has been run for Wild.
[2020-04-20 16:06:43] Wild are expected to be over the salary cap by 428 326 $!
[2020-04-20 16:05:56] Wild are expected to be over the salary cap by 428 326 $!
[2020-04-20 16:05:53] Anton Khudobin from Wild is back from Exhaustion.
[2020-04-20 16:03:11] Successfully loaded Wild lines done with STHS Client - 3.2.0.5
[2020-04-20 16:03:11] Michael Garteig of Wild was sent to pro.
[2020-04-17 15:32:43] Anton Khudobin from Wild injured (Exhaustion)
[2020-04-15 17:04:45] Victoriaville Tigres lines for next game are empty. Current rosters/lines are not erased. But, Wild lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-04-11 10:13:07] 30 000 000 $ was added to Wild bank account.
[2020-04-11 10:13:02] Current fund for Wild is under 0 $.
[2020-04-11 10:12:24] Current fund for Wild is under 0 $.
[2020-04-11 10:10:09] Successfully loaded Wild lines done with STHS Client - 3.2.0.5
[2020-04-09 17:13:19] Current fund for Wild is under 0 $.
[2020-04-09 17:13:15] Victoriaville Tigres lines for next game are empty. Current rosters/lines are not erased.
[2020-04-08 17:06:51] Current fund for Wild is under 0 $.
[2020-04-08 17:06:43] William Nylander from Wild is back from Torn Right Knee Ligaments Injury.
[2020-04-08 17:06:21] Current fund for Wild is under 0 $.
[2020-04-07 16:30:22] Current fund for Wild is under 0 $.
[2020-04-07 16:29:36] Victoriaville Tigres lines for next game are empty. Current rosters/lines are not erased. But, Wild lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-04-07 16:26:03] Successfully loaded Wild lines done with STHS Client - 3.2.0.5
[2020-04-06 17:08:14] Current fund for Wild is under 0 $.
[2020-04-06 17:04:57] Current fund for Wild is under 0 $.
[2020-04-03 21:49:24] Current fund for Wild is under 0 $.
[2020-04-03 21:46:56] Current fund for Wild is under 0 $.
[2020-04-03 21:46:50] Victoriaville Tigres lines for next game are empty. Current rosters/lines are not erased. But, Wild lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.

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
2019	82	39	22	0	7	3	4	7	246	218	28	41	19	13	0	3	2	2	2	130	113	17	41	20	9	0	4	1	2	5	116	105	11	110	246	391	637	2	0	55	89	91	13	2615	800	927	855	71	2764	950	455	1707	190	38	20.00%	226	36	84.07%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	1786	1037	1751	738	1453	725
Total Saison Régulière	82	39	22	0	7	3	4	7	246	218	28	41	19	13	0	3	2	2	2	130	113	17	41	20	9	0	4	1	2	5	116	105	11	110	246	391	637	2	0	55	89	91	13	2615	800	927	855	71	2764	950	455	1707	190	38	20.00%	226	36	84.07%	0	879	1808	48.62%	980	1950	50.26%	562	1145	49.08%	1786	1037	1751	738	1453	725