Simulated Hockey League - Minnesota Wild

Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Profondeur
Historique
Dernière Transactions
Blessure/Suspension
Client Web pour Formation
Client Web pour Lignes

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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	Jeff Carter (A)	X		X		100.00	78	50	81	79	83	90	90	81	82	85	79	78	79	97	99	0	86	0	0
2	Ryan Nugent-Hopkins	X	X			100.00	76	24	82	83	75	83	74	92	67	91	86	73	79	76	69	0	86	0	0
3	Oscar Lindberg	X	X	X		100.00	80	32	76	79	76	77	78	77	70	73	74	76	72	80	78	0	86	0	0
4	Dwight King		X			100.00	77	40	75	74	77	78	78	73	59	73	73	72	71	79	74	0	86	0	0
5	Cedric Paquette	X	X			100.00	83	42	64	76	75	69	67	74	73	66	68	78	66	70	67	0	86	0	0
6	Matt Puempel		X	X		100.00	71	38	81	75	77	68	81	74	50	66	73	70	69	54	55	0	86	0	0
7	T.J. Oshie			X		100.00	76	42	83	82	80	84	83	81	82	84	84	80	79	77	65	0	85	0	0
8	Barclay Goodrow	X	X	X		100.00	76	46	72	77	78	69	77	75	88	72	72	74	69	59	55	0	86	0	0
9	Vinnie Hinostroza (R)	X		X		100.00	72	30	85	77	73	76	80	76	57	74	74	72	74	64	59	0	86	0	0
10	Nick Palmieri			X		100.00	71	32	76	73	83	77	77	73	62	70	70	73	67	67	59	0	88	0	0
11	Zack Kassian		X	X		100.00	79	56	71	77	90	78	79	75	55	71	74	72	72	78	85	0	86	0	0
12	Gabriel Landeskog (C)		X			100.00	96	67	73	82	87	88	87	84	60	88	88	89	83	65	80	0	86	0	0
13	Matt Donovan				X	100.00	76	50	82	79	74	83	85	76	50	74	68	77	67	58	58	0	88	0	0
14	Brent Seabrook (A)				X	100.00	89	71	49	72	84	91	91	70	50	76	73	74	72	91	96	0	87	0	0
15	Mark Borowiecki				X	100.00	95	70	40	68	90	82	79	68	50	65	65	71	65	75	75	0	86	0	0
16	Michal Kempny				X	100.00	75	30	78	74	78	72	89	73	50	70	66	74	63	59	60	0	86	0	0
17	Trevor van Riemsdyk				X	100.00	63	30	83	71	75	82	63	76	50	71	70	75	70	69	67	0	83	0	0
18	Matt Bartkowski				X	100.00	78	53	78	75	76	87	90	73	50	75	66	73	61	77	69	0	88	0	0
Rayé
1	Matt Frattin		X	X	X	100.00	73	36	75	74	75	67	68	65	69	62	66	64	67	63	76	0	41	0	0

	MOYENNE D'ÉQUIPE					100.00	78	44	74	76	79	79	80	76	62	74	73	74	71	71	71	0	84	0

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Tomas Popperle	100.00	82	60	82	82	82	78	69	72	72	79	75	58	70	0	86	0	0
2	Steve Mason	100.00	96	91	95	89	95	96	96	94	95	95	95	83	77	0	86	0	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	89	76	89	86	89	87	83	83	84	87	85	71	74	0	86	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Guy Boucher	67	69	73	87	79	63	78	CAN	47	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	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Gabriel Landeskog	Minnesota Wild	LW	82	36	54	90	33	75	5	156	113	299	101	176	12.04%	36	1832	22.35	5	8	13	22	185	0	0	0	7	203	9	0	36.17%	506	56	51	2	1	0.98	4	13	1	0	0	8	4	6
2	Ryan Nugent-Hopkins	Minnesota Wild	C/LW	82	33	56	89	29	24	0	112	150	304	89	206	10.86%	55	1834	22.37	6	6	12	23	184	1	1	2	5	226	5	4	47.17%	2029	75	31	0	0	0.97	5	11	0	0	0	3	15	2
3	Jeff Carter	Minnesota Wild	C/RW	82	24	47	71	19	16	0	123	146	281	67	164	8.54%	31	1571	19.17	5	11	16	22	154	1	1	2	10	238	2	4	53.33%	1245	40	33	0	0	0.90	7	13	0	0	0	4	6	3
4	T.J. Oshie	Minnesota Wild	RW	82	30	35	65	30	23	5	138	111	218	77	119	13.76%	44	1808	22.05	2	10	12	14	185	0	0	0	10	226	7	2	52.63%	361	54	47	1	1	0.72	1	3	0	1	0	3	5	7
5	Oscar Lindberg	Minnesota Wild	C/LW/RW	82	30	24	54	17	34	0	108	84	174	56	87	17.24%	31	1352	16.49	7	9	16	13	154	0	0	0	0	41	0	3	51.39%	72	32	12	0	0	0.80	1	2	0	0	0	6	1	3
6	Barclay Goodrow	Minnesota Wild	C/LW/RW	82	12	26	38	20	45	5	81	82	164	49	105	7.32%	16	944	11.52	0	0	0	0	0	0	0	0	0	0	1	1	57.17%	502	26	15	0	0	0.80	0	1	1	0	0	1	2	3
7	Zack Kassian	Minnesota Wild	LW/RW	82	14	21	35	18	20	0	79	57	193	57	94	7.25%	14	927	11.31	0	0	0	0	0	0	0	0	0	0	1	0	47.22%	36	32	17	0	0	0.76	1	1	0	0	0	1	1	1
8	Vinnie Hinostroza	Minnesota Wild	C/RW	82	17	15	32	20	4	0	77	95	132	42	91	12.88%	21	1260	15.37	4	3	7	14	152	0	0	0	0	0	2	0	43.10%	58	25	28	0	0	0.51	1	3	0	0	0	1	3	2
9	Brent Seabrook	Minnesota Wild	D	82	1	28	29	19	169	25	199	131	103	41	48	0.97%	132	2197	26.80	1	3	4	7	203	0	0	0	2	206	0	0	0.00%	0	18	66	0	0	0.26	0	0	1	3	1	1	1	1
10	Matt Donovan	Minnesota Wild	D	82	4	20	24	33	25	5	96	113	108	48	51	3.70%	133	2010	24.52	3	4	7	12	202	0	1	1	3	292	1	1	0.00%	0	31	70	0	0	0.24	0	0	1	0	0	2	0	1
11	Nick Palmieri	Minnesota Wild	RW	85	9	15	24	-5	4	0	72	55	148	49	92	6.08%	26	916	10.79	0	0	0	0	22	1	0	1	2	68	2	1	64.71%	17	22	19	0	0	0.52	0	0	0	0	0	1	1	1
12	Cedric Paquette	Minnesota Wild	C/LW	82	9	13	22	6	20	0	71	46	135	35	60	6.67%	14	641	7.83	0	0	0	0	8	0	0	0	0	4	4	0	46.32%	231	15	11	0	0	0.69	0	0	0	0	0	0	1	2
13	Matt Puempel	Minnesota Wild	LW/RW	82	13	8	21	18	4	0	63	51	110	39	64	11.82%	14	947	11.55	0	0	0	1	9	0	0	0	0	0	2	2	42.86%	42	21	10	0	0	0.44	0	0	0	0	0	0	1	4
14	Trevor van Riemsdyk	Minnesota Wild	D	79	2	17	19	39	4	0	32	85	46	28	29	4.35%	68	1168	14.79	0	0	0	0	6	0	0	0	2	112	0	0	0.00%	0	16	32	0	0	0.33	0	0	0	0	0	0	0	1
15	Dwight King	Minnesota Wild	LW	82	11	7	18	5	6	0	52	45	76	24	48	14.47%	18	664	8.10	0	0	0	1	10	0	0	0	1	13	3	0	31.25%	16	14	15	0	0	0.54	0	0	0	0	0	3	1	0
16	Michal Kempny	Minnesota Wild	D	82	3	15	18	18	34	0	61	101	74	32	26	4.05%	81	1582	19.29	0	0	0	2	137	0	0	0	1	191	0	1	0.00%	0	15	53	0	0	0.23	0	0	0	0	0	0	0	1
17	Matt Bartkowski	Minnesota Wild	D	82	2	16	18	7	52	10	98	124	99	34	31	2.02%	111	1849	22.56	0	5	5	6	136	0	0	0	0	124	0	0	0.00%	0	35	55	0	0	0.19	0	0	1	1	0	0	1	1
18	Mark Borowiecki	Minnesota Wild	D	82	2	8	10	33	80	0	99	54	42	13	14	4.76%	51	1077	13.14	0	0	0	0	11	0	0	0	0	26	2	0	0.00%	0	6	23	0	0	0.19	0	0	0	0	0	0	1	0
19	Matt Frattin	Minnesota Wild	LW/RW/D	46	1	4	5	8	6	0	21	13	30	18	15	3.33%	8	373	8.12	0	0	0	0	0	0	0	0	0	4	0	0	42.86%	7	5	7	0	0	0.27	0	0	0	0	0	0	0	1
20	Brett Bellemore	Iowa Wild (MIN)	D	1	0	0	0	-1	2	0	0	1	0	0	1	0.00%	0	11	11.08	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1523	253	429	682	366	647	55	1738	1657	2736	899	1521	9.25%	904	24971	16.40	33	59	92	137	1764	3	3	6	43	1982	41	19	48.89%	5122	538	595	3	2	0.55	20	47	5	5	1	34	44	40

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Steve Mason	Minnesota Wild	62	38	22	1	0.925	2.32	3721	0	3	144	1920	789	4	4	0.778	27	61	21	14	3	8
2	Tomas Popperle	Minnesota Wild	21	12	6	3	0.912	2.85	1264	2	1	60	681	329	1	0	0.706	17	21	61	2	1	4
Stats d'équipe Total ou en Moyenne			83	50	28	4	0.922	2.46	4985	2	4	204	2601	1118	5	4	0.750	44	82	82	16	4	12

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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	Link
Barclay Goodrow	Minnesota Wild	C/LW/RW	26	1993-07-15	No	209 Lbs	188 CM	No	No	No	3	Pro & Farm	1,750,000$	1,750,000$	0$	No	1,750,000$	1,750,000$		Lien / Lien NHL
Brent Seabrook	Minnesota Wild	D	35	1984-07-15	No	220 Lbs	191 CM	No	No	No	1	Pro & Farm	5,500,000$	5,500,000$	0$	No				Lien / Lien NHL
Cedric Paquette	Minnesota Wild	C/LW	26	1993-07-15	No	198 Lbs	185 CM	No	No	No	3	Pro & Farm	1,500,000$	1,500,000$	0$	No	1,500,000$	1,500,000$		Lien / Lien NHL
Dwight King	Minnesota Wild	LW	30	1989-07-15	No	232 Lbs	193 CM	No	No	No	1	Pro & Farm	4,500,000$	4,500,000$	0$	No				Lien
Gabriel Landeskog	Minnesota Wild	LW	27	1992-07-15	No	204 Lbs	185 CM	Yes	No	No	3	Pro & Farm	9,250,000$	9,250,000$	0$	No	9,250,000$	9,250,000$		Lien / Lien NHL
Jeff Carter	Minnesota Wild	C/RW	34	1985-07-15	No	200 Lbs	191 CM	No	No	No	2	Pro & Farm	7,500,000$	7,500,000$	0$	No	7,500,000$			Lien / Lien NHL
Mark Borowiecki	Minnesota Wild	D	30	1989-07-15	No	205 Lbs	188 CM	No	No	No	3	Pro & Farm	1,250,000$	1,250,000$	0$	No	1,250,000$	1,250,000$		Lien / Lien NHL
Matt Bartkowski	Minnesota Wild	D	31	1988-07-15	No	196 Lbs	185 CM	No	No	No	1	Pro & Farm	5,000,000$	5,000,000$	0$	No				Lien / Lien NHL
Matt Donovan	Minnesota Wild	D	29	1990-07-15	No	195 Lbs	183 CM	Yes	No	No	3	Pro & Farm	4,750,000$	4,750,000$	0$	No	4,750,000$	4,750,000$		Lien / Lien NHL
Matt Frattin	Minnesota Wild	LW/RW/D	31	1988-07-15	No	205 Lbs	183 CM	No	No	No	1	Pro & Farm	800,000$	800,000$	0$	No				Lien
Matt Puempel	Minnesota Wild	LW/RW	26	1993-07-15	No	205 Lbs	185 CM	No	No	No	3	Pro & Farm	1,500,000$	1,500,000$	0$	No	1,500,000$	1,500,000$		Lien / Lien NHL
Michal Kempny	Minnesota Wild	D	29	1990-07-15	No	194 Lbs	183 CM	No	No	No	2	Pro & Farm	2,500,000$	2,500,000$	0$	No	2,500,000$			Lien / Lien NHL
Nick Palmieri	Minnesota Wild	RW	30	1989-07-15	No	220 Lbs	191 CM	No	No	No	1	Pro & Farm	950,000$	950,000$	0$	No				Lien
Oscar Lindberg	Minnesota Wild	C/LW/RW	28	1991-07-15	No	195 Lbs	185 CM	No	No	No	1	Pro & Farm	1,500,000$	1,500,000$	0$	No				Lien / Lien NHL
Ryan Nugent-Hopkins	Minnesota Wild	C/LW	26	1993-07-15	No	185 Lbs	185 CM	Yes	No	No	4	Pro & Farm	9,000,000$	9,000,000$	0$	No	9,000,000$	9,000,000$	9,000,000$	Lien / Lien NHL
Steve Mason	Minnesota Wild	G	31	1988-07-15	No	202 Lbs	193 CM	No	No	No	1	Pro & Farm	8,200,000$	8,200,000$	0$	No				Lien
T.J. Oshie	Minnesota Wild	RW	32	1987-07-15	No	170 Lbs	178 CM	No	No	No	3	Pro & Farm	8,750,000$	8,750,000$	0$	No	8,750,000$	8,750,000$		Lien / Lien NHL
Tomas Popperle	Minnesota Wild	G	34	1985-07-15	No	187 Lbs	185 CM	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	No				Lien
Trevor van Riemsdyk	Minnesota Wild	D	28	1991-07-15	No	188 Lbs	188 CM	No	No	No	3	Pro & Farm	2,500,000$	2,500,000$	0$	No	2,500,000$	2,500,000$		Lien / Lien NHL
Vinnie Hinostroza	Minnesota Wild	C/RW	25	1994-07-15	Yes	172 Lbs	175 CM	No	No	No	1	Pro & Farm	1,500,000$	1,500,000$	0$	No				Lien / Lien NHL
Zack Kassian	Minnesota Wild	LW/RW	28	1991-07-15	No	214 Lbs	191 CM	No	No	No	1	Pro & Farm	2,200,000$	2,200,000$	0$	No				Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	29.33	200 Lbs	185 CM	2.00	3,864,286$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
81,150,000$	50,250,000$	40,250,000$	9,000,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Gabriel Landeskog	Ryan Nugent-Hopkins	T.J. Oshie	40	1	2	2
2	Oscar Lindberg	Jeff Carter	Vinnie Hinostroza	30	1	1	3
3	Matt Puempel	Barclay Goodrow	Zack Kassian	20	1	2	2
4	Dwight King	Cedric Paquette	Nick Palmieri	10	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brent Seabrook	Matt Bartkowski	40	1	2	2
2	Matt Donovan	Michal Kempny	30	1	2	2
3	Trevor van Riemsdyk	Mark Borowiecki	20	1	3	1
4	Trevor van Riemsdyk	Matt Donovan	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Ryan Nugent-Hopkins	Gabriel Landeskog	T.J. Oshie	60	1	1	3
2	Oscar Lindberg	Jeff Carter	Vinnie Hinostroza	40	1	1	3

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brent Seabrook	Matt Donovan	60	1	1	3
2	Matt Bartkowski	Michal Kempny	40	1	1	3

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	T.J. Oshie	Gabriel Landeskog	50	1	3	1
2	Jeff Carter	Ryan Nugent-Hopkins	50	1	3	1

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Michal Kempny	Matt Donovan	60	1	3	1
2	Trevor van Riemsdyk	Brent Seabrook	40	1	3	1

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Gabriel Landeskog	60	1	4	0	Michal Kempny	Matt Donovan	60	1	4	0
2	T.J. Oshie	40	1	4	0	Trevor van Riemsdyk	Michal Kempny	40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Gabriel Landeskog	Jeff Carter	50	1	2	2
2	Ryan Nugent-Hopkins	T.J. Oshie	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brent Seabrook	Matt Donovan	60	1	2	2
2	Mark Borowiecki	Michal Kempny	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Gabriel Landeskog	Jeff Carter	T.J. Oshie	Brent Seabrook	Matt Donovan

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Gabriel Landeskog	Jeff Carter	T.J. Oshie	Brent Seabrook	Matt Donovan

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Gabriel Landeskog, Jeff Carter, T.J. Oshie	Ryan Nugent-Hopkins, Vinnie Hinostroza	Jeff Carter

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Matt Donovan, Michal Kempny, Trevor van Riemsdyk	Matt Donovan	Matt Donovan, Brent Seabrook

Tirs de Pénalité
Gabriel Landeskog, Jeff Carter, Ryan Nugent-Hopkins, T.J. Oshie, Vinnie Hinostroza

Gardien
#1 : Steve Mason, #2 : Tomas Popperle

Lignes d'Attaque Perso. en Prol.
Ryan Nugent-Hopkins, Gabriel Landeskog, Jeff Carter, T.J. Oshie, Barclay Goodrow, Vinnie Hinostroza, Vinnie Hinostroza, Oscar Lindberg, Zack Kassian, Cedric Paquette, Matt Puempel

Lignes de Défense Perso. en Prol.
Brent Seabrook, Matt Donovan, Mark Borowiecki, Michal Kempny, Matt Bartkowski

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	Anaheim Ducks	3	1	2	0	0	0	0	0	11	9	2	1	1	0	0	0	0	0	0	8	3	5	2	0	2	0	0	0	0	0	3	6	-3	2	0.333	11	19	30	0	0	4	4	3	0	94	30	31	33	0	104	25	39	67	7	1	14.29%	12	4	66.67%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	62	35	64	26	53	26
2	Arizona Coyotes	3	2	1	0	0	0	0	0	11	6	5	1	1	0	0	0	0	0	0	4	1	3	2	1	1	0	0	0	0	0	7	5	2	4	0.667	11	19	30	1	0	5	4	2	0	103	39	42	22	0	100	35	25	62	6	1	16.67%	6	0	100.00%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	66	39	62	25	51	25
3	Boston Bruins	2	1	0	0	1	0	0	0	4	1	3	1	1	0	0	0	0	0	0	2	0	2	1	0	0	0	1	0	0	0	2	1	1	4	1.000	4	8	12	0	1	2	1	0	1	62	27	13	19	3	58	31	12	43	2	0	0.00%	6	0	100.00%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	42	24	43	18	35	17
4	Buffalo Sabres	2	1	0	0	1	0	0	0	7	3	4	1	0	0	0	1	0	0	0	3	2	1	1	1	0	0	0	0	0	0	4	1	3	4	1.000	7	12	19	0	0	1	4	1	1	59	20	23	15	1	52	17	6	45	13	1	7.69%	3	1	66.67%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	46	26	41	19	36	20
5	Calgary Flames	3	2	0	0	1	0	0	0	7	1	6	2	1	0	0	1	0	0	0	4	1	3	1	1	0	0	0	0	0	0	3	0	3	6	1.000	7	12	19	0	2	1	3	2	1	99	40	33	22	4	65	21	16	56	4	1	25.00%	8	0	100.00%	1	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	62	36	66	26	51	25
6	Carolina Hurricanes	2	1	1	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	3	0	3	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	4	8	12	0	1	0	2	2	0	61	14	21	26	0	52	23	16	36	6	1	16.67%	8	0	100.00%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	42	23	41	18	36	18
7	Chicago Blackhawks	4	2	1	0	0	0	1	0	14	14	0	2	1	1	0	0	0	0	0	6	8	-2	2	1	0	0	0	0	1	0	8	6	2	6	0.750	14	21	35	0	0	4	1	8	2	110	33	40	36	4	137	33	56	94	11	1	9.09%	18	5	72.22%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	84	47	91	37	69	33
8	Colorado Avalanche	5	2	1	0	0	1	1	0	23	18	5	3	2	0	0	0	1	0	0	15	10	5	2	0	1	0	0	0	1	0	8	8	0	7	0.700	23	34	57	0	0	7	7	8	1	171	58	61	52	3	156	55	40	95	8	3	37.50%	21	7	66.67%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	109	65	109	43	86	42
9	Columbus Blue Jackets	2	1	0	0	0	0	0	1	8	6	2	1	1	0	0	0	0	0	0	5	2	3	1	0	0	0	0	0	0	1	3	4	-1	3	0.750	8	13	21	0	0	3	3	2	0	68	12	27	25	7	72	12	25	40	6	3	50.00%	10	3	70.00%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	41	23	46	18	37	17
10	Dallas Stars	4	2	1	0	0	0	1	0	15	9	6	2	1	0	0	0	0	1	0	10	4	6	2	1	1	0	0	0	0	0	5	5	0	6	0.750	15	24	39	0	0	5	3	6	2	145	49	41	52	8	113	37	34	86	13	3	23.08%	17	3	82.35%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	90	51	81	36	72	37
11	Detroit Red Wings	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	12	20	0	0	4	0	4	0	67	26	17	24	0	72	25	8	54	8	1	12.50%	4	1	75.00%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	48	30	40	14	31	17
12	Edmonton Oilers	3	2	0	0	0	0	1	0	8	5	3	2	1	0	0	0	0	1	0	4	2	2	1	1	0	0	0	0	0	0	4	3	1	6	1.000	8	12	20	0	0	1	0	6	1	92	18	33	40	4	93	31	24	59	10	2	20.00%	12	2	83.33%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	64	36	66	29	54	25
13	Florida Panthers	2	1	1	0	0	0	0	0	6	5	1	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	4	2	2	2	0.500	6	11	17	0	0	4	0	2	0	58	15	16	27	0	63	18	26	33	6	3	50.00%	13	1	92.31%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	41	23	42	19	35	17
14	Los Angeles Kings	3	0	3	0	0	0	0	0	4	10	-6	1	0	1	0	0	0	0	0	1	2	-1	2	0	2	0	0	0	0	0	3	8	-5	0	0.000	4	7	11	0	0	2	0	2	0	81	25	24	32	0	89	27	26	66	5	0	0.00%	13	4	69.23%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	63	36	64	28	51	24
15	Montreal Canadiens	2	1	1	0	0	0	0	0	4	4	0	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	3	1	2	2	0.500	4	7	11	0	0	1	1	2	0	58	17	24	17	0	76	21	10	37	6	0	0.00%	5	1	80.00%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	43	23	43	17	33	16
16	Nashville Predators	5	0	4	0	1	0	0	0	11	19	-8	2	0	1	0	1	0	0	0	5	7	-2	3	0	3	0	0	0	0	0	6	12	-6	2	0.200	11	21	32	0	0	6	2	2	1	155	49	54	51	1	172	46	50	103	9	1	11.11%	25	6	76.00%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	103	60	113	45	84	38
17	New Jersey Devils	2	1	1	0	0	0	0	0	10	7	3	1	0	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	6	2	4	2	0.500	10	18	28	0	0	2	5	3	0	70	16	30	24	0	58	17	22	37	12	3	25.00%	6	2	66.67%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	46	27	39	17	33	17
18	New York Islanders	2	0	2	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	4	5	-1	0	0.000	5	7	12	1	0	1	1	3	0	78	27	19	32	0	61	30	12	35	8	2	25.00%	6	2	66.67%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	41	24	42	18	35	16
19	New York Rangers	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	3	1	2	4	1.000	8	14	22	0	0	3	2	3	0	58	15	24	19	0	59	17	18	51	7	1	14.29%	9	1	88.89%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	40	22	44	18	34	16
20	Ottawa Senators	2	1	0	0	0	0	0	1	5	5	0	1	1	0	0	0	0	0	0	2	1	1	1	0	0	0	0	0	0	1	3	4	-1	3	0.750	5	9	14	0	0	2	3	0	2	62	22	21	18	5	58	12	12	49	5	0	0.00%	6	3	50.00%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	46	26	41	18	37	18
21	Philadelphia Flyers	2	1	0	0	1	0	0	0	9	6	3	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	1	0	0	0	5	4	1	4	1.000	9	16	25	0	0	3	1	4	1	56	23	16	16	1	78	19	14	36	1	0	0.00%	7	0	100.00%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	40	24	46	18	34	16
22	Pittsburgh Penguins	2	2	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	4	3	1	4	1.000	7	11	18	0	0	1	5	1	0	64	23	19	22	0	66	29	10	44	3	1	33.33%	5	1	80.00%	1	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	39	22	46	17	34	17
23	San Jose Sharks	3	0	1	0	0	0	2	0	10	9	1	1	0	1	0	0	0	0	0	3	4	-1	2	0	0	0	0	0	2	0	7	5	2	4	0.667	10	15	25	0	0	3	4	1	3	97	39	35	23	6	94	61	24	63	2	1	50.00%	12	5	58.33%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	69	42	66	27	53	26
24	St-Louis Blues	4	0	2	0	0	0	2	0	14	15	-1	2	0	1	0	0	0	1	0	10	10	0	2	0	1	0	0	0	1	0	4	5	-1	4	0.500	14	19	33	1	0	3	6	3	4	147	50	60	34	12	144	49	32	75	12	1	8.33%	16	5	68.75%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	90	53	89	35	69	33
25	Tampa Bay Lightning	2	0	1	0	0	0	1	0	3	3	0	1	0	1	0	0	0	0	0	1	2	-1	1	0	0	0	0	0	1	0	2	1	1	2	0.500	3	3	6	0	0	0	1	1	2	69	23	27	17	5	76	34	10	48	5	0	0.00%	5	2	60.00%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	41	24	47	18	35	17
26	Toronto Maple Leafs	2	0	2	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	4	6	10	1	0	0	2	2	0	57	12	24	21	0	63	27	13	53	3	1	33.33%	4	2	50.00%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	42	25	43	18	34	16
	Total	82	35	28	0	5	1	10	3	256	211	45	41	20	13	0	3	1	3	1	131	100	31	41	15	15	0	2	0	7	2	125	111	14	104	0.634	256	418	674	4	4	75	80	86	24	2617	839	910	842	70	2605	880	669	1702	201	33	16.42%	300	71	76.33%	2	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	1762	1020	1794	745	1437	707
28	Vancouver Canucks	3	1	1	0	0	0	1	0	9	10	-1	2	1	1	0	0	0	0	0	5	7	-2	1	0	0	0	0	0	1	0	4	3	1	4	0.667	9	14	23	0	0	3	2	3	2	95	35	26	34	3	110	31	20	41	6	1	16.67%	10	2	80.00%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	59	34	71	27	54	25
29	Vegas Golden Knights	3	2	1	0	0	0	0	0	9	4	5	2	1	1	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	3	1	2	4	0.667	9	16	25	0	0	2	3	4	0	99	30	43	26	0	84	34	21	71	7	0	0.00%	9	2	77.78%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	64	37	63	26	51	26
30	Washington Capitals	2	2	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	3	1	2	4	1.000	7	11	18	0	0	1	3	3	0	58	10	25	23	0	51	19	16	43	3	0	0.00%	8	0	100.00%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	39	20	44	20	35	17
31	Winnipeg Jets	4	2	1	0	0	0	0	1	11	11	0	2	1	0	0	0	0	0	1	5	5	0	2	1	1	0	0	0	0	0	6	6	0	5	0.625	11	19	30	0	0	1	7	3	0	124	42	41	40	3	129	44	32	80	7	0	0.00%	16	6	62.50%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	86	49	87	36	70	35
	_Since Last GM Reset	82	35	28	0	5	1	10	3	256	211	45	41	20	13	0	3	1	3	1	131	100	31	41	15	15	0	2	0	7	2	125	111	14	104	0.634	256	418	674	4	4	75	80	86	24	2617	839	910	842	70	2605	880	669	1702	201	33	16.42%	300	71	76.33%	2	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	1762	1020	1794	745	1437	707
	_Vs Conference	50	18	19	0	2	1	9	1	157	140	17	25	11	7	0	2	1	3	1	86	67	19	25	7	12	0	0	0	6	0	71	73	-2	60	0.600	157	252	409	2	2	47	46	53	17	1612	537	564	497	48	1590	529	439	1018	107	16	14.95%	195	51	73.85%	1	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	1077	626	1098	453	875	427
	_Vs Division	26	8	10	0	1	1	5	1	88	86	2	13	5	3	0	1	1	2	1	51	44	7	13	3	7	0	0	0	3	0	37	42	-5	30	0.577	88	138	226	1	0	26	26	30	10	852	281	297	265	31	851	264	244	533	60	9	15.00%	113	32	71.68%	0	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	565	329	571	235	454	221

			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	104	L1	256	418	674	2617	2605	880	669	1702	4	4

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	35	28	5	1	10	3	256	211

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	20	13	3	1	3	1	131	100

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	15	15	2	0	7	2	125	111

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
7	3	0	0	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
201	33	16.42%	300	71	76.33%	2

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
839	910	842	70	75	80	86	24

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
904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%

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
1762	1020	1794	745	1437	707

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 - 2019-10-26	9	Minnesota Wild	1	Nashville Predators	2	L			Sommaire du Match
4 - 2019-10-28	27	Minnesota Wild	5	Colorado Avalanche	6	L			Sommaire du Match
9 - 2019-11-02	53	Minnesota Wild	1	Winnipeg Jets	3	L			Sommaire du Match
11 - 2019-11-04	71	Pittsburgh Penguins	1	Minnesota Wild	3	W			Sommaire du Match
13 - 2019-11-06	79	Minnesota Wild	3	Ottawa Senators	4	L	X	X	Sommaire du Match
14 - 2019-11-07	85	Minnesota Wild	3	Toronto Maple Leafs	4	L			Sommaire du Match
16 - 2019-11-09	99	Minnesota Wild	3	Montreal Canadiens	1	W			Sommaire du Match
19 - 2019-11-12	125	Montreal Canadiens	3	Minnesota Wild	1	L			Sommaire du Match
21 - 2019-11-14	139	Edmonton Oilers	1	Minnesota Wild	2	W			Sommaire du Match
23 - 2019-11-16	150	Minnesota Wild	3	Nashville Predators	5	L			Sommaire du Match
25 - 2019-11-18	167	Los Angeles Kings	2	Minnesota Wild	1	L			Sommaire du Match
28 - 2019-11-21	186	Minnesota Wild	4	Dallas Stars	1	W			Sommaire du Match
29 - 2019-11-22	190	Minnesota Wild	1	St-Louis Blues	3	L			Sommaire du Match
32 - 2019-11-25	213	St-Louis Blues	4	Minnesota Wild	3	L			Sommaire du Match
35 - 2019-11-28	233	Minnesota Wild	2	Anaheim Ducks	4	L			Sommaire du Match
37 - 2019-11-30	247	Minnesota Wild	3	San Jose Sharks	2	W	X	X	Sommaire du Match
39 - 2019-12-02	259	Minnesota Wild	2	Arizona Coyotes	4	L			Sommaire du Match
42 - 2019-12-05	279	Minnesota Wild	1	Los Angeles Kings	4	L			Sommaire du Match
44 - 2019-12-07	289	Arizona Coyotes	1	Minnesota Wild	4	W			Sommaire du Match
46 - 2019-12-09	299	Carolina Hurricanes	0	Minnesota Wild	3	W			Sommaire du Match
49 - 2019-12-12	318	Minnesota Wild	4	Buffalo Sabres	1	W			Sommaire du Match
51 - 2019-12-14	340	Colorado Avalanche	2	Minnesota Wild	7	W			Sommaire du Match
53 - 2019-12-16	353	Minnesota Wild	2	Boston Bruins	1	W	X		Sommaire du Match
55 - 2019-12-18	366	Minnesota Wild	3	New York Rangers	1	W			Sommaire du Match
56 - 2019-12-19	375	Minnesota Wild	6	New Jersey Devils	2	W			Sommaire du Match
59 - 2019-12-22	395	Ottawa Senators	1	Minnesota Wild	2	W			Sommaire du Match
61 - 2019-12-24	416	Dallas Stars	1	Minnesota Wild	6	W			Sommaire du Match
63 - 2019-12-26	426	Minnesota Wild	4	Florida Panthers	2	W			Sommaire du Match
65 - 2019-12-28	440	Minnesota Wild	2	Tampa Bay Lightning	1	W	X	X	Sommaire du Match
67 - 2019-12-30	459	Minnesota Wild	1	Carolina Hurricanes	2	L			Sommaire du Match
70 - 2020-01-02	476	Anaheim Ducks	3	Minnesota Wild	8	W			Sommaire du Match
72 - 2020-01-04	493	Edmonton Oilers	1	Minnesota Wild	2	W	X	X	Sommaire du Match
74 - 2020-01-06	507	Philadelphia Flyers	2	Minnesota Wild	4	W			Sommaire du Match
75 - 2020-01-07	516	Minnesota Wild	5	Chicago Blackhawks	4	W			Sommaire du Match
77 - 2020-01-09	533	Minnesota Wild	3	Vegas Golden Knights	1	W			Sommaire du Match
79 - 2020-01-11	546	Minnesota Wild	5	Arizona Coyotes	1	W			Sommaire du Match
81 - 2020-01-13	554	Winnipeg Jets	1	Minnesota Wild	2	W			Sommaire du Match
83 - 2020-01-15	570	Calgary Flames	0	Minnesota Wild	2	W			Sommaire du Match
87 - 2020-01-19	586	Minnesota Wild	3	Colorado Avalanche	2	W	X	X	Sommaire du Match
89 - 2020-01-21	605	New York Islanders	3	Minnesota Wild	1	L			Sommaire du Match
91 - 2020-01-23	616	Toronto Maple Leafs	3	Minnesota Wild	1	L			Sommaire du Match
95 - 2020-01-27	643	Winnipeg Jets	4	Minnesota Wild	3	L	X	X	Sommaire du Match
96 - 2020-01-28	656	Calgary Flames	1	Minnesota Wild	2	W	X		Sommaire du Match
100 - 2020-02-01	685	Minnesota Wild	3	Calgary Flames	0	W			Sommaire du Match
103 - 2020-02-04	704	Vancouver Canucks	4	Minnesota Wild	1	L			Sommaire du Match
105 - 2020-02-06	718	Minnesota Wild	4	Pittsburgh Penguins	3	W			Sommaire du Match
107 - 2020-02-08	736	Tampa Bay Lightning	2	Minnesota Wild	1	L			Sommaire du Match
109 - 2020-02-10	753	Dallas Stars	3	Minnesota Wild	4	W	X	X	Sommaire du Match
111 - 2020-02-12	760	Florida Panthers	3	Minnesota Wild	2	L			Sommaire du Match
113 - 2020-02-14	767	Detroit Red Wings	2	Minnesota Wild	4	W			Sommaire du Match
123 - 2020-02-24	802	Boston Bruins	0	Minnesota Wild	2	W			Sommaire du Match
126 - 2020-02-27	821	Chicago Blackhawks	6	Minnesota Wild	3	L			Sommaire du Match
128 - 2020-02-29	835	Vancouver Canucks	3	Minnesota Wild	4	W			Sommaire du Match
129 - 2020-03-01	842	Minnesota Wild	1	Dallas Stars	4	L			Sommaire du Match
131 - 2020-03-03	859	Colorado Avalanche	5	Minnesota Wild	4	L	X		Sommaire du Match
133 - 2020-03-05	871	Vegas Golden Knights	2	Minnesota Wild	1	L			Sommaire du Match
135 - 2020-03-07	887	New York Rangers	3	Minnesota Wild	5	W			Sommaire du Match
137 - 2020-03-09	899	San Jose Sharks	4	Minnesota Wild	3	L			Sommaire du Match
141 - 2020-03-13	932	Minnesota Wild	4	Vancouver Canucks	3	W	X	X	Sommaire du Match
143 - 2020-03-15	946	Minnesota Wild	4	Edmonton Oilers	3	W			Sommaire du Match
145 - 2020-03-17	964	St-Louis Blues	6	Minnesota Wild	7	W	X	X	Sommaire du Match
147 - 2020-03-19	978	Columbus Blue Jackets	2	Minnesota Wild	5	W			Sommaire du Match
149 - 2020-03-21	989	Minnesota Wild	4	Detroit Red Wings	2	W			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-03-22	995	Minnesota Wild	3	Columbus Blue Jackets	4	L	X	X	Sommaire du Match
152 - 2020-03-24	1014	Washington Capitals	1	Minnesota Wild	4	W			Sommaire du Match
154 - 2020-03-26	1023	Nashville Predators	4	Minnesota Wild	1	L			Sommaire du Match
156 - 2020-03-28	1042	Minnesota Wild	4	San Jose Sharks	3	W	X	X	Sommaire du Match
158 - 2020-03-30	1052	Minnesota Wild	2	Los Angeles Kings	4	L			Sommaire du Match
159 - 2020-03-31	1063	Minnesota Wild	1	Anaheim Ducks	2	L			Sommaire du Match
163 - 2020-04-04	1089	Vegas Golden Knights	1	Minnesota Wild	5	W			Sommaire du Match
165 - 2020-04-06	1098	Minnesota Wild	5	Philadelphia Flyers	4	W	X		Sommaire du Match
166 - 2020-04-07	1116	Nashville Predators	3	Minnesota Wild	4	W	X		Sommaire du Match
168 - 2020-04-09	1127	Chicago Blackhawks	2	Minnesota Wild	3	W			Sommaire du Match
170 - 2020-04-11	1143	Minnesota Wild	3	Chicago Blackhawks	2	W	X	X	Sommaire du Match
171 - 2020-04-12	1148	Minnesota Wild	5	Winnipeg Jets	3	W			Sommaire du Match
174 - 2020-04-15	1172	Colorado Avalanche	3	Minnesota Wild	4	W			Sommaire du Match
177 - 2020-04-18	1198	New Jersey Devils	5	Minnesota Wild	4	L			Sommaire du Match
179 - 2020-04-20	1213	Buffalo Sabres	2	Minnesota Wild	3	W	X		Sommaire du Match
180 - 2020-04-21	1220	Minnesota Wild	3	St-Louis Blues	2	W	X	X	Sommaire du Match
182 - 2020-04-23	1229	Minnesota Wild	4	New York Islanders	5	L			Sommaire du Match
184 - 2020-04-25	1248	Minnesota Wild	3	Washington Capitals	1	W			Sommaire du Match
186 - 2020-04-27	1267	Minnesota Wild	2	Nashville Predators	5	L			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	1834
Prix des Billets	108	68	48	28	230
Assistance	194,433	201,996	78,641	159,934	69,122
Attendance PCT	79.04%	98.53%	95.90%	97.52%	91.92%

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	17174 - 91.19%	1,867,100$	76,551,113$	18834	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
81,994,682$	81,150,000$	36,950,000$	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
81,150,000$	80,989,311$	0$	21	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	439,305$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	81,150,000$	54,825,353$	54,825,353$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Ryan Nugent-Hopkins	AGE:26	PO:0	OV:0
Oscar Lindberg	AGE:28	PO:0	OV:0
Dwight King	AGE:30	PO:0	OV:0
Cedric Paquette	AGE:26	PO:0	OV:0
Matt Puempel	AGE:26	PO:0	OV:0
Matt Frattin	AGE:31	PO:0	OV:0
Barclay Goodrow	AGE:26	PO:0	OV:0
Zack Kassian	AGE:28	PO:0	OV:0
Gabriel Landeskog	AGE:27	PO:0	OV:0

Jeff Carter	AGE:34	PO:0	OV:0
Ryan Nugent-Hopkins	AGE:26	PO:0	OV:0
Oscar Lindberg	AGE:28	PO:0	OV:0
Cedric Paquette	AGE:26	PO:0	OV:0
Barclay Goodrow	AGE:26	PO:0	OV:0
*Vinnie Hinostroza	AGE:25	PO:0	OV:0

Jeff Carter	AGE:34	PO:0	OV:0
Oscar Lindberg	AGE:28	PO:0	OV:0
Matt Puempel	AGE:26	PO:0	OV:0
T.J. Oshie	AGE:32	PO:0	OV:0
Matt Frattin	AGE:31	PO:0	OV:0
Barclay Goodrow	AGE:26	PO:0	OV:0
*Vinnie Hinostroza	AGE:25	PO:0	OV:0
Nick Palmieri	AGE:30	PO:0	OV:0
Zack Kassian	AGE:28	PO:0	OV:0

Défense #1

Défense #2

Gardien

Matt Donovan	AGE:29	PO:0	OV:0
Brett Bellemore	AGE:31	PO:0	OV:0
Brent Seabrook	AGE:35	PO:0	OV:0
Mark Borowiecki	AGE:30	PO:0	OV:0

Michal Kempny	AGE:29	PO:0	OV:0
Trevor van Riemsdyk	AGE:28	PO:0	OV:0
Matt Frattin	AGE:31	PO:0	OV:0
Matt Bartkowski	AGE:31	PO:0	OV:0

Tomas Popperle	AGE:34	PO:0	OV:0
Steve Mason	AGE:31	PO:0	OV:0

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	Information	Lien
Alexander Green	Minnesota Wild
Bobby Brink	Minnesota Wild
Danny Biega	Minnesota Wild
Denis Malgin	Minnesota Wild
Graeme Clarke	Minnesota Wild
Hunter Jones	Minnesota Wild
Ivan Morozov	Minnesota Wild
Jacob Leguerrier	Minnesota Wild
Jake Kupsky	Minnesota Wild
Jake Walman	Minnesota Wild
Jason Dickinson	Minnesota Wild
Karch Bachman	Minnesota Wild
Karlis Cukste	Minnesota Wild
Linus Soderstrom	Minnesota Wild
Manuel Wiederer	Minnesota Wild
Marian Studenic	Minnesota Wild
Nathan Legare	Minnesota Wild
Riley Stotts	Minnesota Wild
Riley Suter	Minnesota Wild
Ryan Johnson	Minnesota Wild
Ryan Lindgren	Minnesota Wild
Samuel Houde	Minnesota Wild
Scott Kosmachuk	Minnesota Wild
Seth Barton	Minnesota Wild
Tobias Lindberg	Minnesota Wild
Tyrell Goulbourne	Minnesota Wild
Victor Mete	Minnesota Wild

Choix au Repêchage

Année	R1	R2	R3	R4	R5
2020	MIN	MIN	MIN	MIN NSH
2021	MIN	MIN	MIN	MIN	MIN
2022	MIN	MIN	MIN	MIN	MIN
2023	MIN	MIN	MIN	MIN	MIN
2024	MIN	MIN	MIN	MIN	MIN

[2020-03-01 12:32:44 PM] - TRADE : From Minnesota Wild to Detroit Red Wings : Richard Clune, Y:2020-RND:5-OTT.
[2020-03-01 12:32:44 PM] - TRADE : From Detroit Red Wings to Minnesota Wild : Nick Palmieri.
[2019-12-12 9:48:29 PM] - New Record for Team's Most Shots Blocked (25) in 1 Game for Minnesota Wild!
[2019-11-06 8:04:28 PM] - Brent Seabrook has been selected as assistant for Minnesota Wild.
[2019-11-06 8:04:28 PM] - Jeff Carter is no longer as assistant for Minnesota Wild.
[2019-11-06 8:04:28 PM] - Jeff Carter has been selected as assistant for Minnesota Wild.
[2019-11-06 8:04:28 PM] - Unknown Player is no longer as assistant for Minnesota Wild.
[2019-11-05 7:43:27 PM] - TRADE : From Minnesota Wild to Vegas Golden Knights : Y:2020-RND:5-MIN.
[2019-11-05 7:43:27 PM] - TRADE : From Vegas Golden Knights to Minnesota Wild : Matt Bartkowski.
[2019-10-25 9:16:46 PM] - John Scott was released.
[2019-10-23 10:23:08 PM] - Mark Borowiecki signed with Minnesota Wild for $1,250,000 for 3 year(s).
[2019-10-23 10:23:08 PM] - Mark Borowiecki was added to Minnesota Wild.
[2019-10-18 5:44:35 PM] - Dwight King signed with Minnesota Wild for $4,500,000 for 1 year(s).
[2019-10-18 5:44:35 PM] - Dwight King was added to Minnesota Wild.
[2019-10-14 6:54:35 PM] - Trevor van Riemsdyk signed with Minnesota Wild for $2,500,000 for 3 year(s).
[2019-10-14 6:54:35 PM] - Trevor van Riemsdyk was added to Minnesota Wild.
[2019-10-14 6:54:17 PM] - Matt Donovan signed with Minnesota Wild for $4,750,000 for 3 year(s) / Option : No Trade.
[2019-10-14 6:54:17 PM] - Matt Donovan was added to Minnesota Wild.
[2019-10-07 5:27:27 PM] - Brad Stuart retired from Minnesota Wild
[2019-10-05 4:19:30 PM] - Vinnie Hinostroza was added to Minnesota Wild.
[2019-10-05 4:11:27 PM] - Vinnie Hinostroza has been deleted from Minnesota Wild.

[2020-04-20 12:50:46 PM] Last 30 Days Pro Star : 1 - Patrice Bergeron of Nashville Predators (11-12-23) / 2 - Patrick Kane of Nashville Predators (10-9-19) / 3 - Ryan Nugent-Hopkins of Minnesota Wild (8-13-21)
[2020-03-28 6:49:46 PM] Last 7 Days Pro Star : 1 - Kyle Turris of Tampa Bay Lightning (5-3-8) / 2 - Gabriel Landeskog of Minnesota Wild (3-3-6) / 3 - Ryan Nugent-Hopkins of Minnesota Wild (2-5-7)
[2020-03-04 10:20:27 PM] Successfully loaded Minnesota Wild lines done with STHS Client - 3.2.1.1
[2020-03-02 7:40:14 PM] Auto Lines Partial Function has been run for Minnesota Wild.
[2020-03-02 7:40:14 PM] Minnesota Wild lines errors : Normal line # 4 RW is empty.
[2020-03-01 12:32:44 PM] TRADE : From Minnesota Wild to Detroit Red Wings : Richard Clune, Y:2020-RND:5-OTT.
[2020-03-01 12:32:44 PM] TRADE : From Detroit Red Wings to Minnesota Wild : Nick Palmieri.
[2020-02-28 11:59:22 AM] Last 7 Days Pro Star : 1 - Adam Henrique of Ottawa Senators (3-5-8) / 2 - Gabriel Landeskog of Minnesota Wild (4-5-9) / 3 - Tyler Ennis of St-Louis Blues (6-3-9)
[2020-02-08 7:49:43 PM] Successfully loaded Minnesota Wild lines done with STHS Client - 3.2.1.1
[2020-01-23 6:43:36 PM] Successfully loaded Minnesota Wild lines done with STHS Client - 3.2.1.1
[2020-01-22 5:59:43 PM] Trevor van Riemsdyk from Minnesota Wild is back from Groin Injury.
[2020-01-22 5:59:43 PM] Game 760 - Trevor van Riemsdyk from Minnesota Wild is injured (Groin) and is out for 6 days.
[2020-01-08 8:05:01 PM] Matt Frattin from Minnesota Wild is back from Left Hip Injury.

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	35	28	0	5	1	10	3	256	211	45	41	20	13	0	3	1	3	1	131	100	31	41	15	15	0	2	0	7	2	125	111	14	104	256	418	674	4	4	75	80	86	24	2617	839	910	842	70	2605	880	669	1702	201	33	16.42%	300	71	76.33%	2	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	1762	1020	1794	745	1437	707
Total Saison Régulière	82	35	28	0	5	1	10	3	256	211	45	41	20	13	0	3	1	3	1	131	100	31	41	15	15	0	2	0	7	2	125	111	14	104	256	418	674	4	4	75	80	86	24	2617	839	910	842	70	2605	880	669	1702	201	33	16.42%	300	71	76.33%	2	904	1874	48.24%	1061	2058	51.55%	530	1117	47.45%	1762	1020	1794	745	1437	707