Iowa Wild
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Formation
Points
Informations joueurs
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Statistiques d’équipe
Calendrier
Finance
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Actualité
Historique
Dernière transactions
Blessure/Suspension
Client Web pour la formation
Client Web pour les lignes

Centre de jeu
	Toronto Maple Leafs 14-2-2, 30pts	3	FINAL	2	Minnesota Wild 8-10-0, 16pts

Team Stats
W6	Streak	L2
8-0-1	Home Record	5-4-0
6-2-1	Away Record	3-6-0
9-0-1	Last 10 Games	4-6-0
3.11	Buts par match	2.39
2.11	Buts contre par match	2.72
14.29%	Pourcentage en avantage numérique	20.00%
88.24%	Pourcentage en désavantage numérique	83.02%

Colorado Avalanche
12-7-0, 24pts

FINAL

Minnesota Wild
8-10-0, 16pts

Team Stats
W2	Streak	L2
6-2-0	Home Record	5-4-0
6-5-0	Away Record	3-6-0
8-2-0	Last 10 Games	4-6-0
3.32	Buts par match	2.39
2.53	Buts contre par match	2.72
28.89%	Pourcentage en avantage numérique	20.00%
82.35%	Pourcentage en désavantage numérique	83.02%

Minnesota Wild
8-10-0, 16pts

2023-11-17

Detroit Redwings
12-6-1, 25pts

Statistiques d’équipe
L2	Séquence	OTL1
5-4-0	Fiche domicile	7-4-0
3-6-0	Fiche visiteur	5-2-1
4-6-0	10 derniers matchs	5-4-1
2.39	Buts par match	3.00
2.72	Buts contre par match	3.00
20.00%	Pourcentage en avantage numérique	14.71%
83.02%	Pourcentage en désavantage numérique	78.00%

St. Louis Blues
10-6-3, 23pts

2023-11-19

Minnesota Wild
8-10-0, 16pts

Statistiques d’équipe
W1	Séquence	L2
6-2-1	Fiche domicile	5-4-0
4-4-2	Fiche visiteur	3-6-0
5-4-1	10 derniers matchs	4-6-0
3.37	Buts par match	2.39
2.84	Buts contre par match	2.39
28.57%	Pourcentage en avantage numérique	20.00%
78.18%	Pourcentage en désavantage numérique	83.02%

Minnesota Wild
8-10-0, 16pts

2023-11-21

Nashville Predators
9-8-2, 20pts

Statistiques d’équipe
L2	Séquence	L2
5-4-0	Fiche domicile	6-3-1
3-6-0	Fiche visiteur	3-5-1
4-6-0	10 derniers matchs	4-6-0
2.39	Buts par match	2.89
2.72	Buts contre par match	2.89
20.00%	Pourcentage en avantage numérique	18.60%
83.02%	Pourcentage en désavantage numérique	80.70%

Meneurs d'équipe
	Buts James van Riemsdyk 8	Passes Ondrej Palat 7

	Points Elias Lindholm 13	Plus/Moins James van Riemsdyk 5

	Victoires Kaapo Kahkonen 4	Pourcentage d’arrêts Jack Campbell 0.922

Statistiques d’équipe
Buts pour 43 2.39 GFG	Tirs pour 627 34.83 Avg	Pourcentage en avantage numérique 20.0% 10 GF	Début de zone offensive 38.9%
Buts contre 49 2.72 GAA	Tirs contre 595 33.06 Avg	Pourcentage en désavantage numérique 83.0%% 9 GA	Début de la zone défensive 39.7%

Informations de l'équipe
	Directeur général	Interim Steeve Leblanc
	Entraîneur	Bo Woods
	Division	CENTRAL
	Conférence	WESTERN CONFERENCE
	Capitaine
	Assistant #1	Ryan Suter
	Assistant #2
Informations de l’aréna
	Nom	Xcel Energy Center
	Capacité	18,000
	Assistance	17,612
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	24
	Équipe Mineure	23
	Limite contact	47 / 100
	Espoirs	31
Plafond salarial
	Cap Salarial de la Saison estimé	74,328,322$
	Plafond salarial disponible	9,171,678$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	24
Finance
	Revenu annuel à ce jour	16,427,161$
	Dépenses annuelles à ce jour	17,555,564$
	Revenus de la saison estimés	58,407,684$
	Dépenses de la saison estimées	57,440,634$
	Compte bancaire actuel	136,323,761$
	Compte bancaire projeté	134,468,046$

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	Âge	Contrat	Salaire moyen
1	Mikael Granlund	29	X	X	X		99.00	66	38	84	74	67	92	90	79	82	78	63	76	70	83	79	63	42	70	2	31	2	5,500,000$
2	Ondrej Palat	97	X	X	X		99.00	74	39	88	74	71	87	86	76	66	80	69	63	71	84	78	36	50	69	2	32	2	4,500,000$
3	Alexis Lafreniere	71		X	X		99.00	73	40	79	74	84	86	89	75	68	70	68	65	76	63	71	91	44	68	2	22	2	4,000,000$
4	Conor Sheary	0		X	X		99.00	58	38	93	76	64	86	89	72	51	69	67	79	72	82	76	29	49	68	2	31	4	3,200,000$
5	James van Riemsdyk	0		X	X		100.00	54	42	82	71	85	86	87	72	57	68	72	66	76	86	80	64	51	68	2	34	4	5,000,000$
6	Frank Vatrano	44	X	X	X		99.00	65	39	85	70	73	88	88	73	64	68	72	63	73	79	76	34	48	67	0	29	2	5,000,000$
7	Oskar Sundqvist	0	X	X			100.00	66	42	86	68	85	84	84	70	72	71	64	73	66	78	74	55	53	67	2	29	2	3,100,000$
8	Ryan Poehling	61	X	X			100.00	67	42	92	74	86	79	82	65	76	62	64	77	60	66	69	77	59	66	2	24	1	1,125,000$
9	Christian Fischer	54		X	X		100.00	88	42	89	67	87	84	87	64	63	63	63	74	71	72	70	70	57	66	0	26	4	1,000,000$
10	Tyler Pitlick	0	X	X	X		100.00	77	41	90	60	80	78	76	63	66	62	60	85	60	75	74	56	52	65	0	32	2	1,500,000$
11	Luke Kunin	12	X		X		100.00	88	75	89	68	78	86	81	67	69	63	66	71	69	63	63	79	44	65	2	25	4	1,200,000$
12	Jonny Brodzinski	0	X	X			100.00	66	45	82	64	77	83	82	63	78	63	65	68	66	78	72	47	52	64	0	30	4	1,000,000$
13	Ryan Graves	0				X	99.00	67	45	73	69	93	91	92	70	30	72	63	98	54	77	72	50	55	75	1	28	4	4,500,000$
14	Brandon Carlo	10				X	99.00	77	60	76	67	96	90	89	67	30	67	67	93	60	59	58	74	57	73	0	27	3	4,100,000$
15	Rasmus Sandin	10				X	100.00	80	38	88	78	69	89	83	74	30	75	66	77	55	68	70	74	46	71	2	23	1	3,000,000$
16	Ryan Suter (A)	30				X	100.00	61	41	83	67	76	93	90	65	30	74	60	80	58	93	80	38	47	70	2	38	2	7,538,463$
17	Colin Miller	0				X	100.00	79	40	83	68	76	82	85	67	30	70	60	78	51	81	74	37	42	69	0	31	1	1,850,000$
18	Micheal Kesselirng (R)	0				X	100.00	73	45	77	67	85	92	84	61	30	67	60	74	60	61	67	77	56	67	0	23	3	925,000$
19	Radim Simek	57				X	100.00	85	39	88	66	72	84	74	63	30	59	55	72	54	81	71	29	46	66	0	31	3	900,000$
20	Wyatt Kaiser (R)	0				X	100.00	66	45	77	65	77	75	78	67	30	67	60	77	55	55	55	80	40	65	2	21	3	925,000$
21	Jack Dougherty	0				X	100.00	90	84	85	81	82	66	64	55	30	55	50	61	45	72	69	63	45	63	0	27	1	1,250,000$
Rayé
1	Elias Lindholm	0	X	X	X		81.93	65	40	88	83	88	92	92	82	84	80	80	87	82	78	80	77	42	76	2	28	2	4,500,000$
Équipe Mineure
1	Brandon Duhaime	0		X	X		100.00	89	77	79	66	80	76	85	64	56	60	62	66	58	66	68	55	47	64	2	26	4	1,100,000$
2	Jeff Kubiak	0	X		X		100.00	78	53	86	66	88	76	77	61	62	55	55	66	52	76	71	54	38	63	0	29	2	1,150,000$
3	Sam Anas	7			X		100.00	61	40	86	66	61	87	80	65	75	68	55	58	64	78	71	53	42	63	0	30	4	500,000$
4	Cole Bardreau	0	X	X			100.00	85	42	91	66	68	71	81	64	77	58	58	58	59	78	73	49	32	62	0	30	1	750,000$
5	Jachym Kondelik (R)	0	X				100.00	89	60	77	60	98	71	66	54	50	55	55	66	60	61	61	76	56	61	1	23	1	855,000$
6	Connor Zary (R)	0	X				100.00	67	50	75	62	70	84	83	57	61	64	61	59	60	63	63	87	44	61	0	22	3	700,000$
7	Mason Primeau (R)	0	X				100.00	81	60	79	55	90	69	74	54	66	58	59	60	56	63	63	74	53	60	0	22	2	845,000$
8	Evan Weinger	0		X	X		100.00	58	42	89	61	75	85	82	59	54	58	59	53	59	68	66	59	44	60	0	26	1	775,000$
9	Jermaine Loewen (R)	0			X		100.00	81	59	67	57	90	78	77	52	51	56	54	59	54	67	62	50	46	59	0	25	1	775,000$
10	Chase Wouters (R)	0	X		X		100.00	62	41	71	57	71	71	81	56	65	58	55	57	56	63	60	55	32	58	0	23	1	750,000$
11	Carter Mazur (R)	0		X			100.00	66	55	77	61	77	78	80	60	50	58	55	56	65	45	50	80	34	58	2	21	3	833,000$
12	Cameron Hebig	0	X		X		100.00	51	42	91	60	59	81	82	56	66	57	57	57	59	68	66	58	42	58	0	26	3	800,000$
13	Jack Badini (R)	0	X	X			100.00	69	60	61	66	57	76	67	54	55	54	53	54	60	61	61	76	38	56	0	25	1	775,000$
14	Garrett Mitchell	0		X	X		100.00	66	42	63	52	72	65	77	54	50	58	51	52	55	79	71	54	41	56	0	32	1	750,000$
15	Jaycob Megna	0				X	100.00	75	48	80	62	97	80	82	60	30	69	60	54	50	79	71	53	43	65	0	30	2	975,000$
16	John Ludvig (R)	0				X	99.21	67	45	62	60	68	70	76	60	30	60	60	70	60	63	63	63	30	62	0	23	2	700,000$
17	Jack Sadek	0				X	100.00	76	60	78	57	71	77	76	60	60	55	57	62	60	63	63	74	38	61	0	26	1	775,000$
18	Donovan Sebrango (R)	0				X	100.00	65	45	61	63	69	77	78	62	30	57	57	60	60	63	63	74	40	61	0	21	2	925,000$
19	Jason Garrison	0				X	100.00	59	35	77	59	79	73	58	62	30	59	60	60	66	74	59	21	37	60	0	39	1	750,000$
20	Helge Grans (R)	0				X	100.00	77	60	71	60	78	72	81	60	30	55	55	60	60	41	41	87	40	60	2	21	2	847,500$
21	Calle Sjalin (R)	0				X	100.00	54	45	60	55	67	77	70	56	30	52	56	54	50	40	45	77	36	54	0	24	1	855,000$

	MOYENNE D’ÉQUIPE						98.82	72	45	84	71	80	85	84	69	53	68	64	75	64	74	72	59	49	68

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	Âge	Contrat	Salaire moyen
1	Jack Campbell	0	100.00	92	84	82	80	91	91	94	94	93	92	91	79	85	66	52	85	0	31	2	6,250,000$
2	Kaapo Kahkonen	31	99.00	89	90	89	84	88	88	90	88	89	89	88	69	77	75	59	83	1	27	3	3,000,000$
Rayé
Équipe Mineure
1	Louis Domingue	0	100.00	75	80	77	85	78	79	80	79	74	77	76	77	83	54	48	77	0	31	2	985,000$
2	Malcolm Subban	1	100.00	75	80	80	83	73	74	76	76	79	77	76	76	80	66	49	75	2	29	2	1,500,000$

	MOYENNE D’ÉQUIPE		99.50	91	87	86	82	90	90	92	91	91	91	90	74	81	71	56	84

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bo Woods	66	73	74	60	82	77	66	CAN	55	4	675,000$

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	PSG	PSS	S1	S2	S3
1	Elias Lindholm	Minnesota Wild	C/LW/RW	17	7	6	13	-3	6	15	36	56	29	31	12.50%	16	337	19.84	2	4	6	12	37	2	53	1	0	49.74%	384	21	9	0	0.77	0	1	0	0	3
2	James van Riemsdyk	Minnesota Wild	LW/RW	18	8	3	11	5	8	4	5	34	8	21	23.53%	5	199	11.10	0	0	0	0	5	0	0	2	1	66.67%	21	10	4	0	1.10	0	0	1	0	1
3	Ondrej Palat	Minnesota Wild	C/LW/RW	18	4	7	11	-4	0	18	8	42	8	26	9.52%	6	324	18.00	3	2	5	8	43	2	16	1	0	39.39%	33	18	4	1	0.68	1	1	1	0	0
4	Conor Sheary	Minnesota Wild	LW/RW	18	3	7	10	-5	0	8	20	59	17	37	5.08%	11	304	16.93	2	2	4	8	36	0	5	0	0	64.29%	14	16	9	0	0.66	0	0	1	0	0
5	Brandon Carlo	Minnesota Wild	D	18	3	7	10	-1	20	25	21	26	7	8	11.54%	25	432	24.01	2	2	4	3	46	0	44	1	1	0.00%	0	6	15	0	0.46	0	0	1	0	1
6	Alexis Lafreniere	Minnesota Wild	LW/RW	18	1	7	8	-6	16	24	16	59	18	48	1.69%	9	329	18.30	0	2	2	3	36	4	26	0	0	55.17%	29	22	4	0	0.49	0	0	0	0	0
7	Ryan Graves	Minnesota Wild	D	18	2	6	8	-2	8	22	24	22	10	8	9.09%	30	437	24.28	0	3	3	2	46	0	50	0	0	0.00%	0	1	17	0	0.37	0	0	0	0	1
8	Oskar Sundqvist	Minnesota Wild	C/LW	18	2	5	7	4	6	8	14	31	13	19	6.45%	7	211	11.73	0	0	0	0	0	1	16	1	0	40.13%	152	11	4	0	0.66	0	0	0	1	1
9	Luke Kunin	Minnesota Wild	C/RW	17	4	3	7	-1	0	11	7	38	9	30	10.53%	3	176	10.37	0	0	0	0	0	0	0	1	0	52.17%	23	11	1	0	0.79	0	0	1	0	1
10	Ryan Poehling	Minnesota Wild	C/LW	18	2	4	6	-3	2	10	13	41	17	19	4.88%	3	192	10.67	0	0	0	0	0	0	0	0	0	47.32%	112	16	4	0	0.62	0	0	0	0	2
11	Frank Vatrano	Minnesota Wild	C/LW/RW	18	1	4	5	-6	6	16	22	52	14	24	1.92%	4	304	16.92	0	2	2	6	36	0	7	0	0	47.17%	318	16	4	0	0.33	0	0	0	0	0
12	Rasmus Sandin	Minnesota Wild	D	18	1	3	4	-3	4	21	22	38	17	14	2.63%	28	354	19.67	1	0	1	6	33	2	34	0	0	0.00%	0	7	9	0	0.23	0	0	0	0	0
13	Mikael Granlund	Minnesota Wild	C/LW/RW	18	1	2	3	-4	4	23	19	50	17	26	2.00%	6	365	20.31	0	1	1	8	43	3	55	0	0	65.38%	26	9	4	0	0.16	0	1	0	0	0
14	Ryan Suter	Minnesota Wild	D	18	1	2	3	-3	6	12	15	21	9	10	4.76%	20	351	19.51	0	0	0	2	33	1	33	0	0	0.00%	0	4	12	0	0.17	0	0	0	1	0
15	Tyler Pitlick	Minnesota Wild	C/LW/RW	18	2	0	2	-3	0	10	7	19	2	7	10.53%	8	190	10.56	0	0	0	0	0	0	0	0	0	71.43%	7	1	5	0	0.21	0	0	0	1	0
16	Christian Fischer	Minnesota Wild	LW/RW	18	0	2	2	4	2	18	8	16	9	12	0.00%	9	188	10.48	0	0	0	0	0	0	0	0	0	37.50%	8	4	4	0	0.21	0	0	0	0	0
17	Jaycob Megna	Iowa Wild (MIN)	D	8	0	2	2	1	8	4	1	3	0	0	0.00%	4	84	10.60	0	0	0	0	0	0	0	0	0	0.00%	0	0	3	0	0.47	0	0	0	0	0
18	Micheal Kesselirng	Minnesota Wild	D	18	0	1	1	-5	6	14	16	6	4	6	0.00%	14	222	12.36	0	0	0	0	0	0	15	0	0	0.00%	0	2	9	0	0.09	0	0	0	0	0
19	Radim Simek	Minnesota Wild	D	9	0	0	0	0	2	6	6	4	0	1	0.00%	9	109	12.21	0	0	0	0	0	0	1	0	0	0.00%	0	0	4	0	0.00%	0	0	0	0	0
20	Colin Miller	Minnesota Wild	D	16	0	0	0	-4	4	10	6	7	6	4	0.00%	17	182	11.41	0	0	0	0	0	0	1	0	0	0.00%	0	2	8	0	0.00%	0	0	0	0	0
21	Jonny Brodzinski	Minnesota Wild	C/LW	18	0	0	0	-3	0	4	0	3	3	4	0.00%	1	35	2.00	0	0	0	0	1	0	0	0	0	41.67%	12	1	0	0	0.00%	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				355	42	71	113	-42	108	283	286	627	217	355	6.70%	235	5333	15.02	10	18	28	58	401	15	362	7	2	48.20%	1139	178	133	1	0.42	1	3	5	3	10

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	PCT	GAA	MP	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2
1	Kaapo Kahkonen	Minnesota Wild	10	4	6	0.917	2.69	602	27	324	143	1	1	1.000	3	10	8	1	3
2	Jack Campbell	Minnesota Wild	8	4	4	0.922	2.61	483	21	270	125	0	0	0.00%	0	8	10	1	1
Statistiques d’équipe totales ou en moyenne			18	8	10	0.919	2.65	1085	48	594	268	1	1		3	18	18	2	4

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	Waiver Possible	Contrat	Type	Salaire actuel	Salaire restant	Salaire moyen	Salaire moyen restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Link
Alexis Lafreniere	Minnesota Wild	LW/RW	22	2001-10-11 02:11:26	No	195 Lbs	6 ft1	No	No	No	No	2	Pro Only	4,000,000$	3,041,667$	4,000,000$	3,041,667$	4,000,000$	3,041,667$	No	4,000,000$			Lien
Brandon Carlo	Minnesota Wild	D	27	1996-11-26 09:23:13	No	218 Lbs	6 ft6	No	No	No	Yes	3	Pro Only	4,100,000$	3,117,708$	4,100,000$	3,117,708$	4,100,000$	3,117,708$	No	4,100,000$	4,100,000$		Lien
Christian Fischer	Minnesota Wild	LW/RW	26	1997-04-15	No	214 Lbs	6 ft2	No	No	No	No	4	Pro & Farm	1,000,000$	760,417$	1,000,000$	760,417$	1,000,000$	760,417$	No	1,000,000$	1,000,000$	1,000,000$	Lien / Lien NHL
Colin Miller	Minnesota Wild	D	31	1992-10-29	No	193 Lbs	6 ft1	No	No	No	Yes	1	Pro Only	1,850,000$	1,406,771$	1,850,000$	1,406,771$	1,850,000$	1,406,771$	No				Lien / Lien NHL
Conor Sheary	Minnesota Wild	LW/RW	31	1992-06-08	No	179 Lbs	5 ft9	No	No	No	Yes	4	Pro Only	3,200,000$	2,433,333$	3,200,000$	2,433,333$	3,200,000$	2,433,333$	No	3,200,000$	3,200,000$	3,200,000$	Lien / Lien NHL
Elias Lindholm	Minnesota Wild	C/LW/RW	28	1994-12-02	No	195 Lbs	6 ft1	No	No	No	Yes	2	Pro Only	4,500,000$	3,421,875$	4,500,000$	3,421,875$	4,500,000$	3,421,875$	No	4,500,000$			Lien / Lien NHL
Frank Vatrano	Minnesota Wild	C/LW/RW	29	1994-03-14	No	197 Lbs	5 ft11	No	No	No	Yes	2	Pro Only	5,000,000$	3,802,083$	5,000,000$	3,802,083$	5,000,000$	3,802,083$	No	5,000,000$			Lien
Jack Campbell	Minnesota Wild	G	31	1992-01-09	No	197 Lbs	6 ft2	No	No	No	No	2	Pro Only	6,250,000$	4,752,604$	6,250,000$	4,752,604$	6,250,000$	4,752,604$	No	6,250,000$			Lien / Lien NHL
Jack Dougherty	Minnesota Wild	D	27	1996-05-25	No	196 Lbs	6 ft2	No	No	No	No	1	Pro & Farm	1,250,000$	950,521$	1,250,000$	950,521$	1,250,000$	950,521$	No				Lien
James van Riemsdyk	Minnesota Wild	LW/RW	34	1989-05-04	No	208 Lbs	6 ft3	No	No	No	Yes	4	Pro Only	5,000,000$	3,802,083$	5,000,000$	3,802,083$	5,000,000$	3,802,083$	No	5,000,000$	5,000,000$	5,000,000$	Lien / Lien NHL
Jonny Brodzinski	Minnesota Wild	C/LW	30	1993-06-19	No	212 Lbs	6 ft0	No	No	No	Yes	4	Pro & Farm	1,000,000$	760,417$	1,000,000$	760,417$	1,000,000$	760,417$	No	1,000,000$	1,000,000$	1,000,000$	Lien
Kaapo Kahkonen	Minnesota Wild	G	27	1996-08-16 06:29:08	No	223 Lbs	6 ft2	No	No	No	Yes	3	Pro Only	3,000,000$	2,281,250$	3,000,000$	2,281,250$	3,000,000$	2,281,250$	No	3,000,000$	3,000,000$		Lien
Luke Kunin	Minnesota Wild	C/RW	25	1997-12-04 00:32:49	No	197 Lbs	6 ft0	No	No	No	No	4	Pro & Farm	1,200,000$	912,500$	1,200,000$	912,500$	1,200,000$	912,500$	No	1,200,000$	1,200,000$	1,200,000$	Lien
Micheal Kesselirng	Minnesota Wild	D	23	2000-01-13 10:52:07	Yes	190 Lbs	6 ft4	No	No	No	No	3	Pro & Farm	925,000$	703,385$	925,000$	703,385$	925,000$	703,385$	No	925,000$	925,000$
Mikael Granlund	Minnesota Wild	C/LW/RW	31	1992-02-26	No	185 Lbs	5 ft10	No	No	No	Yes	2	Pro Only	5,500,000$	4,182,292$	5,500,000$	4,182,292$	5,500,000$	4,182,292$	No	5,500,000$			Lien / Lien NHL
Ondrej Palat	Minnesota Wild	C/LW/RW	32	1991-03-28	No	194 Lbs	5 ft11	No	No	No	Yes	2	Pro Only	4,500,000$	3,421,875$	4,500,000$	3,421,875$	4,500,000$	3,421,875$	No	4,500,000$			Lien / Lien NHL
Oskar Sundqvist	Minnesota Wild	C/LW	29	1994-03-23	No	209 Lbs	6 ft3	No	No	No	Yes	2	Pro Only	3,100,000$	2,357,292$	3,100,000$	2,357,292$	3,100,000$	2,357,292$	No	3,100,000$			Lien / Lien NHL
Radim Simek	Minnesota Wild	D	31	1992-09-20	No	200 Lbs	6 ft9	No	No	No	No	3	Pro & Farm	900,000$	684,375$	900,000$	684,375$	900,000$	684,375$	No	900,000$	900,000$		Lien
Rasmus Sandin	Minnesota Wild	D	23	2000-03-07	No	183 Lbs	5 ft11	No	No	No	No	1	Pro Only	3,000,000$	2,281,250$	3,000,000$	2,281,250$	3,000,000$	2,281,250$	No				Lien
Ryan Graves	Minnesota Wild	D	28	1995-05-21	No	220 Lbs	6 ft5	No	No	No	Yes	4	Pro Only	4,500,000$	3,421,875$	4,500,000$	3,421,875$	4,500,000$	3,421,875$	No	4,500,000$	4,500,000$	4,500,000$	Lien
Ryan Poehling	Minnesota Wild	C/LW	24	1999-01-03	No	204 Lbs	6 ft2	No	No	No	No	1	Pro & Farm	1,125,000$	855,469$	1,125,000$	855,469$	1,125,000$	855,469$	No				Lien
Ryan Suter	Minnesota Wild	D	38	1985-01-21	No	206 Lbs	6 ft2	No	No	No	Yes	2	Pro Only	7,538,462$	5,732,372$	7,538,463$	5,732,373$	7,538,463$	5,732,373$	No	7,538,462$			Lien / Lien NHL
Tyler Pitlick	Minnesota Wild	C/LW/RW	32	1991-11-01	No	200 Lbs	6 ft2	No	No	No	Yes	2	Pro & Farm	1,500,000$	1,140,625$	1,500,000$	1,140,625$	1,500,000$	1,140,625$	No	1,500,000$			Lien / Lien NHL
Wyatt Kaiser	Minnesota Wild	D	21	2002-07-31 10:47:00	Yes	173 Lbs	6 ft0	No	No	No	No	3	Pro & Farm	925,000$	703,385$	925,000$	703,385$	925,000$	703,385$	No	925,000$	925,000$

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
24	28.33	200 Lbs	6 ft2	2.54	3,119,311$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
74,863,462$	67,638,462$	25,750,000$	15,900,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Mikael Granlund	Luke Kunin	Ondrej Palat	30	1	2	2
2	Alexis Lafreniere	Frank Vatrano	Conor Sheary	30	1	2	2
3	James van Riemsdyk	Oskar Sundqvist	Christian Fischer	20	1	2	2
4	Tyler Pitlick	Ryan Poehling	Jonny Brodzinski	20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ryan Graves	Brandon Carlo	30	1	2	2
2	Rasmus Sandin	Ryan Suter	30	1	2	2
3	Colin Miller	Micheal Kesselirng	20	1	2	2
4	Ryan Graves	Brandon Carlo	20	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Mikael Granlund	James van Riemsdyk	Ondrej Palat	60	1	2	2
2	Alexis Lafreniere	Frank Vatrano	Conor Sheary	40	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ryan Graves	Brandon Carlo	60	1	2	2
2	Rasmus Sandin	Ryan Suter	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Conor Sheary	Mikael Granlund	60	1	2	2
2	Ondrej Palat	Alexis Lafreniere	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ryan Graves	Brandon Carlo	60	1	2	2
2	Rasmus Sandin	Ryan Suter	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Ondrej Palat	60	1	2	2	Ryan Graves	Brandon Carlo	60	1	2	2
2	Mikael Granlund	40	1	2	2	Rasmus Sandin	Ryan Suter	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Oskar Sundqvist	Mikael Granlund	60	1	2	2
2	Ondrej Palat	Alexis Lafreniere	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ryan Graves	Brandon Carlo	60	1	2	2
2	Rasmus Sandin	Ryan Suter	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Mikael Granlund	Luke Kunin	Ondrej Palat	Ryan Graves	Brandon Carlo

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Mikael Granlund	Luke Kunin	Ondrej Palat	Ryan Graves	Brandon Carlo

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Jonny Brodzinski, James van Riemsdyk, Oskar Sundqvist	Jonny Brodzinski, James van Riemsdyk	Oskar Sundqvist

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Ryan Graves, Micheal Kesselirng, Brandon Carlo	Brandon Carlo	Micheal Kesselirng, Ryan Graves

Tirs de pénalité
Luke Kunin , Mikael Granlund, Ondrej Palat, Alexis Lafreniere, Conor Sheary

Gardien
#1 : Kaapo Kahkonen , #2 : Jack Campbell

Lignes d’attaque personnalisées en prolongation
Luke Kunin , Mikael Granlund, Ondrej Palat, Alexis Lafreniere, Conor Sheary, James van Riemsdyk, James van Riemsdyk, Frank Vatrano, Oskar Sundqvist, Ryan Poehling, Christian Fischer

Lignes de défense personnalisées en prolongation
Ryan Graves, Brandon Carlo , Rasmus Sandin, Ryan Suter, Micheal Kesselirng

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

	Total												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	Buffalo Sabres	1	0	1	0	0	0	0	0	1	5	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	1	2	3	0	0	0	1	0	0	39	7	23	9	0	38	15	8	13	5	0	0.00%	4	1	75.00%	0	210	441	47.62%	215	450	47.78%	124	243	51.03%	24	15	21	7	14	7
2	Colorado Avalanche	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	0	1	0	0	33	9	11	13	0	31	21	0	9	4	1	25.00%	0	0	0.00%	0	210	441	47.62%	215	450	47.78%	124	243	51.03%	25	17	20	6	14	7
3	Columbus Blue Jackets	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	6	10	0	0	1	1	2	0	34	14	9	11	0	25	10	6	9	1	0	0.00%	3	1	66.67%	0	210	441	47.62%	215	450	47.78%	124	243	51.03%	21	13	20	8	17	8
4	Dallas Stars	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	6	4	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	12	18	0	0	1	3	2	0	32	12	11	9	0	26	11	4	11	3	2	66.67%	2	1	50.00%	0	210	441	47.62%	215	450	47.78%	124	243	51.03%	22	14	22	8	15	7
5	Edmonton Oilers	1	0	0	0	1	0	0	0	3	2	1	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	0	2	0	1	40	10	14	13	3	28	4	2	14	3	1	33.33%	0	0	0.00%	0	210	441	47.62%	215	450	47.78%	124	243	51.03%	23	15	22	8	17	8
6	Florida Panthers	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	4	7	0	0	1	2	0	0	37	13	14	10	0	36	14	8	28	4	1	25.00%	4	2	50.00%	0	210	441	47.62%	215	450	47.78%	124	243	51.03%	24	16	21	7	13	7
7	Los Angeles Kings	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	6	10	0	0	0	1	3	0	33	12	6	15	0	35	19	10	15	4	3	75.00%	5	0	100.00%	0	210	441	47.62%	215	450	47.78%	124	243	51.03%	20	12	24	8	15	7
8	Montreal Canadiens	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	1	2	3	0	0	1	0	0	0	29	11	5	13	0	25	17	8	18	2	0	0.00%	4	0	100.00%	0	210	441	47.62%	215	450	47.78%	124	243	51.03%	22	14	22	7	15	7
9	New Jersey Devils	2	0	2	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	3	6	9	1	0	1	2	0	0	72	18	21	33	0	68	18	16	28	4	0	0.00%	8	2	75.00%	0	210	441	47.62%	215	450	47.78%	124	243	51.03%	39	23	48	16	31	15
10	New York Islanders	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	1	1	2	1.000	2	4	6	0	0	0	2	0	0	43	14	22	7	0	30	11	4	16	5	0	0.00%	2	0	100.00%	0	210	441	47.62%	215	450	47.78%	124	243	51.03%	23	13	20	8	16	9
11	New York Rangers	2	1	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	2	1	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	3	5	8	0	0	2	1	0	0	55	17	18	20	0	59	26	12	34	7	0	0.00%	6	0	100.00%	0	210	441	47.62%	215	450	47.78%	124	243	51.03%	42	25	46	17	31	15
12	Ottawa Senators	1	0	0	0	0	0	1	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	3	2	1	2	1.000	3	3	6	0	0	1	0	1	1	33	17	5	10	4	49	11	12	21	3	1	33.33%	6	2	66.67%	0	210	441	47.62%	215	450	47.78%	124	243	51.03%	20	11	26	9	17	8
13	Philadelphia Flyers	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	3	5	0	0	0	2	0	0	36	9	16	11	0	45	17	2	14	1	0	0.00%	1	0	100.00%	0	210	441	47.62%	215	450	47.78%	124	243	51.03%	19	12	23	7	16	8
14	Toronto Maple Leafs	2	0	2	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	5	8	13	0	0	4	1	0	0	80	18	37	25	0	59	27	6	36	4	1	25.00%	3	0	100.00%	0	210	441	47.62%	215	450	47.78%	124	243	51.03%	43	27	42	17	34	17
15	Washington Capitals	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	1	1	2	1.000	2	2	4	0	0	1	1	0	0	31	6	13	12	0	41	14	10	17	0	0	0.00%	5	0	100.00%	0	210	441	47.62%	215	450	47.78%	124	243	51.03%	18	11	26	9	15	6
	Total	18	6	10	0	1	0	1	0	43	49	-6	9	4	4	0	1	0	0	0	26	22	4	9	2	6	0	0	0	1	0	17	27	-10	16	0.444	43	71	114	1	0	13	20	8	2	627	187	225	211	7	595	235	108	283	50	10	20.00%	53	9	83.02%	0	210	441	47.62%	215	450	47.78%	124	243	51.03%	393	245	410	151	285	142
	_Since Last GM Reset	18	6	10	0	1	0	1	0	43	49	-6	9	4	4	0	1	0	0	0	26	22	4	9	2	6	0	0	0	1	0	17	27	-10	16	0.444	43	71	114	1	0	13	20	8	2	627	187	225	211	7	595	235	108	283	50	10	20.00%	53	9	83.02%	0	210	441	47.62%	215	450	47.78%	124	243	51.03%	393	245	410	151	285	142
	_Vs Conference	4	2	1	0	1	0	0	0	14	10	4	4	2	1	0	1	0	0	0	14	10	4	0	0	0	0	0	0	0	0	0	0	0	6	0.750	14	26	40	0	0	1	7	5	1	138	43	42	50	3	120	55	16	49	14	7	50.00%	7	1	85.71%	0	210	441	47.62%	215	450	47.78%	124	243	51.03%	92	59	89	32	62	31
	_Vs Division	2	1	1	0	0	0	0	0	7	7	0	2	1	1	0	0	0	0	0	7	7	0	0	0	0	0	0	0	0	0	0	0	0	2	0.500	7	14	21	0	0	1	4	2	0	65	21	22	22	0	57	32	4	20	7	3	42.86%	2	1	50.00%	0	210	441	47.62%	215	450	47.78%	124	243	51.03%	47	31	42	15	29	15

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
18	16	L2	43	71	114	627	595	235	108	283	1	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
18	6	10	1	0	1	0	43	49

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	4	4	1	0	0	0	26	22

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	2	6	0	0	1	0	17	27

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
4	6	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
50	10	20.00%	53	9	83.02%	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
187	225	211	7	13	20	8	2

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
210	441	47.62%	215	450	47.78%	124	243	51.03%

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
393	245	410	151	285	142

Derniers matchs 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
3 - 2023-10-03	14	Florida Panthers	4	Minnesota Wild	3	BL			Sommaire du match
5 - 2023-10-05	26	Minnesota Wild	3	Toronto Maple Leafs	4	AL			Sommaire du match
8 - 2023-10-08	41	Minnesota Wild	1	Montreal Canadiens	4	AL			Sommaire du match
10 - 2023-10-10	56	Los Angeles Kings	1	Minnesota Wild	4	BW			Sommaire du match
12 - 2023-10-12	73	Columbus Blue Jackets	2	Minnesota Wild	4	BW			Sommaire du match
15 - 2023-10-15	94	Edmonton Oilers	2	Minnesota Wild	3	BW	X		Sommaire du match
17 - 2023-10-17	104	Minnesota Wild	2	Philadelphia Flyers	3	AL			Sommaire du match
18 - 2023-10-18	114	Minnesota Wild	2	Washington Capitals	1	AW			Sommaire du match
20 - 2023-10-20	127	Minnesota Wild	2	New Jersey Devils	4	AL			Sommaire du match
24 - 2023-10-24	151	New Jersey Devils	2	Minnesota Wild	1	BL			Sommaire du match
26 - 2023-10-26	169	New York Rangers	1	Minnesota Wild	2	BW			Sommaire du match
29 - 2023-10-29	182	Minnesota Wild	2	New York Islanders	1	AW			Sommaire du match
31 - 2023-10-31	196	Minnesota Wild	1	New York Rangers	3	AL			Sommaire du match
32 - 2023-11-01	204	Minnesota Wild	1	Buffalo Sabres	5	AL			Sommaire du match
34 - 2023-11-03	223	Dallas Stars	4	Minnesota Wild	6	BW			Sommaire du match
40 - 2023-11-09	254	Minnesota Wild	3	Ottawa Senators	2	AW	X	X	Sommaire du match
41 - 2023-11-10	267	Toronto Maple Leafs	3	Minnesota Wild	2	BL			Sommaire du match
46 - 2023-11-15	306	Colorado Avalanche	3	Minnesota Wild	1	BL			Sommaire du match
48 - 2023-11-17	316	Minnesota Wild	-	Detroit Redwings	-
50 - 2023-11-19	330	St. Louis Blues	-	Minnesota Wild	-
52 - 2023-11-21	347	Minnesota Wild	-	Nashville Predators	-
55 - 2023-11-24	369	Chicago Blackhawks	-	Minnesota Wild	-
57 - 2023-11-26	385	Minnesota Wild	-	Calgary Flames	-
59 - 2023-11-28	404	Minnesota Wild	-	Vancouver Canucks	-
60 - 2023-11-29	407	Minnesota Wild	-	Edmonton Oilers	-
62 - 2023-12-01	426	Minnesota Wild	-	Seattle Kraken	-
66 - 2023-12-05	450	Calgary Flames	-	Minnesota Wild	-
68 - 2023-12-07	461	Vancouver Canucks	-	Minnesota Wild	-
70 - 2023-12-09	480	Minnesota Wild	-	Pittsburgh Penguins	-
71 - 2023-12-10	484	Minnesota Wild	-	Boston Bruins	-
73 - 2023-12-12	506	Montreal Canadiens	-	Minnesota Wild	-
75 - 2023-12-14	516	Boston Bruins	-	Minnesota Wild	-
79 - 2023-12-18	534	Detroit Redwings	-	Minnesota Wild	-
82 - 2023-12-21	555	Minnesota Wild	-	Winnipeg Jets	-
83 - 2023-12-22	564	Winnipeg Jets	-	Minnesota Wild	-
85 - 2023-12-24	578	Calgary Flames	-	Minnesota Wild	-
87 - 2023-12-26	594	Tampa Bay Lightning	-	Minnesota Wild	-
89 - 2023-12-28	610	Minnesota Wild	-	Columbus Blue Jackets	-
91 - 2023-12-30	623	Dallas Stars	-	Minnesota Wild	-
93 - 2024-01-01	636	Minnesota Wild	-	Dallas Stars	-
95 - 2024-01-03	652	Philadelphia Flyers	-	Minnesota Wild	-
96 - 2024-01-04	665	Arizona Coyotes	-	Minnesota Wild	-
98 - 2024-01-06	676	New York Islanders	-	Minnesota Wild	-
101 - 2024-01-09	695	Minnesota Wild	-	Tampa Bay Lightning	-
102 - 2024-01-10	704	Minnesota Wild	-	Florida Panthers	-
104 - 2024-01-12	719	Minnesota Wild	-	Carolina Hurricanes	-
106 - 2024-01-14	734	Washington Capitals	-	Minnesota Wild	-
108 - 2024-01-16	752	Nashville Predators	-	Minnesota Wild	-
110 - 2024-01-18	770	Anaheim Ducks	-	Minnesota Wild	-
121 - 2024-01-29	793	Minnesota Wild	-	Chicago Blackhawks	-
123 - 2024-01-31	801	Pittsburgh Penguins	-	Minnesota Wild	-
126 - 2024-02-03	822	Minnesota Wild	-	Las Vegas Golden Knights	-
128 - 2024-02-05	836	Minnesota Wild	-	Arizona Coyotes	-
131 - 2024-02-08	853	Buffalo Sabres	-	Minnesota Wild	-
133 - 2024-02-10	869	Vancouver Canucks	-	Minnesota Wild	-
134 - 2024-02-11	880	Minnesota Wild	-	Winnipeg Jets	-
137 - 2024-02-14	902	Minnesota Wild	-	Edmonton Oilers	-
138 - 2024-02-15	912	Minnesota Wild	-	Seattle Kraken	-
141 - 2024-02-18	932	Carolina Hurricanes	-	Minnesota Wild	-
143 - 2024-02-20	948	Minnesota Wild	-	Nashville Predators	-
145 - 2024-02-22	967	Minnesota Wild	-	St. Louis Blues	-
146 - 2024-02-23	971	San Jose Sharks	-	Minnesota Wild	-
150 - 2024-02-27	1001	Minnesota Wild	-	Arizona Coyotes	-
151 - 2024-02-28	1006	Minnesota Wild	-	Colorado Avalanche	-
153 - 2024-03-01	1023	Nashville Predators	-	Minnesota Wild	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2024-03-03	1037	Arizona Coyotes	-	Minnesota Wild	-
157 - 2024-03-05	1054	Anaheim Ducks	-	Minnesota Wild	-
159 - 2024-03-07	1069	Minnesota Wild	-	St. Louis Blues	-
162 - 2024-03-10	1091	Minnesota Wild	-	Anaheim Ducks	-
163 - 2024-03-11	1097	Minnesota Wild	-	Los Angeles Kings	-
166 - 2024-03-14	1115	St. Louis Blues	-	Minnesota Wild	-
171 - 2024-03-19	1156	San Jose Sharks	-	Minnesota Wild	-
173 - 2024-03-21	1166	Las Vegas Golden Knights	-	Minnesota Wild	-
176 - 2024-03-24	1193	Ottawa Senators	-	Minnesota Wild	-
178 - 2024-03-26	1207	Colorado Avalanche	-	Minnesota Wild	-
180 - 2024-03-28	1219	Winnipeg Jets	-	Minnesota Wild	-
181 - 2024-03-29	1229	Minnesota Wild	-	Chicago Blackhawks	-
183 - 2024-03-31	1248	Minnesota Wild	-	Colorado Avalanche	-
186 - 2024-04-03	1269	Minnesota Wild	-	Las Vegas Golden Knights	-
187 - 2024-04-04	1282	Minnesota Wild	-	San Jose Sharks	-
189 - 2024-04-06	1293	Minnesota Wild	-	Los Angeles Kings	-
192 - 2024-04-09	1307	Seattle Kraken	-	Minnesota Wild	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des billets	100	60	30	20	250
Assistance	53,000	44,367	18,000	35,921	7,218
Attendance PCT	98.15%	98.59%	100.00%	99.78%	80.20%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
32	17612 - 97.84%	1,825,240$	16,427,161$	18000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
17,555,564$	74,863,462$	74,863,463$	0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
389,914$	17,400,878$	4,349,083$	24	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
58,407,684$	146	393,429$	57,440,634$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
60,263,399$	136,323,761$	134,468,046$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
74,328,322$	9,171,678$	83,500,000$	12,628,322$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Elias Lindholm	AGE:28	PO:77	OV:76
Mikael Granlund	AGE:31	PO:63	OV:70
Ondrej Palat	AGE:32	PO:36	OV:69
Alexis Lafreniere	AGE:22	PO:91	OV:68
James van Riemsdyk	AGE:34	PO:64	OV:68
Conor Sheary	AGE:31	PO:29	OV:68
Oskar Sundqvist	AGE:29	PO:55	OV:67
Frank Vatrano	AGE:29	PO:34	OV:67
Ryan Poehling	AGE:24	PO:77	OV:66
Christian Fischer	AGE:26	PO:70	OV:66
Tyler Pitlick	AGE:32	PO:56	OV:65
Brandon Duhaime	AGE:26	PO:55	OV:64
Jonny Brodzinski	AGE:30	PO:47	OV:64
Cole Bardreau	AGE:30	PO:49	OV:62
Evan Weinger	AGE:26	PO:59	OV:60
Carter Mazur (R)	AGE:21	PO:80	OV:58
Jack Badini (R)	AGE:25	PO:76	OV:56
Garrett Mitchell	AGE:32	PO:54	OV:56

Elias Lindholm	AGE:28	PO:77	OV:76
Mikael Granlund	AGE:31	PO:63	OV:70
Ondrej Palat	AGE:32	PO:36	OV:69
Oskar Sundqvist	AGE:29	PO:55	OV:67
Frank Vatrano	AGE:29	PO:34	OV:67
Ryan Poehling	AGE:24	PO:77	OV:66
Luke Kunin	AGE:25	PO:79	OV:65
Tyler Pitlick	AGE:32	PO:56	OV:65
Jonny Brodzinski	AGE:30	PO:47	OV:64
Jeff Kubiak	AGE:29	PO:54	OV:63
Cole Bardreau	AGE:30	PO:49	OV:62
Connor Zary (R)	AGE:22	PO:87	OV:61
Jachym Kondelik (R)	AGE:23	PO:76	OV:61
Mason Primeau (R)	AGE:22	PO:74	OV:60
Cameron Hebig	AGE:26	PO:58	OV:58
Chase Wouters (R)	AGE:23	PO:55	OV:58
Jack Badini (R)	AGE:25	PO:76	OV:56

Elias Lindholm	AGE:28	PO:77	OV:76
Mikael Granlund	AGE:31	PO:63	OV:70
Ondrej Palat	AGE:32	PO:36	OV:69
Alexis Lafreniere	AGE:22	PO:91	OV:68
James van Riemsdyk	AGE:34	PO:64	OV:68
Conor Sheary	AGE:31	PO:29	OV:68
Frank Vatrano	AGE:29	PO:34	OV:67
Christian Fischer	AGE:26	PO:70	OV:66
Luke Kunin	AGE:25	PO:79	OV:65
Tyler Pitlick	AGE:32	PO:56	OV:65
Brandon Duhaime	AGE:26	PO:55	OV:64
Jeff Kubiak	AGE:29	PO:54	OV:63
Sam Anas	AGE:30	PO:53	OV:63
Evan Weinger	AGE:26	PO:59	OV:60
Jermaine Loewen (R)	AGE:25	PO:50	OV:59
Cameron Hebig	AGE:26	PO:58	OV:58
Chase Wouters (R)	AGE:23	PO:55	OV:58
Garrett Mitchell	AGE:32	PO:54	OV:56

Défense #1

Défense #2

Gardien

Ryan Graves	AGE:28	PO:50	OV:75
Brandon Carlo	AGE:27	PO:74	OV:73
Rasmus Sandin	AGE:23	PO:74	OV:71
Ryan Suter	AGE:38	PO:38	OV:70
Colin Miller	AGE:31	PO:37	OV:69
Micheal Kesselirng (R)	AGE:23	PO:77	OV:67
Radim Simek	AGE:31	PO:29	OV:66
Wyatt Kaiser (R)	AGE:21	PO:80	OV:65

Jaycob Megna	AGE:30	PO:53	OV:65
Jack Dougherty	AGE:27	PO:63	OV:63
John Ludvig (R)	AGE:23	PO:63	OV:62
Jack Sadek	AGE:26	PO:74	OV:61
Donovan Sebrango (R)	AGE:21	PO:74	OV:61
Helge Grans (R)	AGE:21	PO:87	OV:60
Jason Garrison	AGE:39	PO:21	OV:60
Calle Sjalin (R)	AGE:24	PO:77	OV:54

Jack Campbell	AGE:31	PO:66	OV:85
Kaapo Kahkonen	AGE:27	PO:75	OV:83
Louis Domingue	AGE:31	PO:54	OV:77
Malcolm Subban	AGE:29	PO:66	OV:75

Espoirs

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

Espoir	Nom de l’équipe	Année de repêchage	Choix total
Albert Wikman	Minnesota Wild	2023	142
Albin Eriksson	Minnesota Wild	2018	48
Alexei Kolosov	Minnesota Wild	2021	88
Alexis Gravel	Minnesota Wild	2018	79
Braydyn Chizen	Minnesota Wild	2016	204
Brody Lamb	Minnesota Wild	2021	120
Cade Webber	Minnesota Wild	2019	107
Cole Brady	Minnesota Wild	2019	137
Cole OHara	Minnesota Wild	2022	169
Dmitry Kuzmin	Minnesota Wild	2021	90
Jake Boltmann	Minnesota Wild	2020	86
Jake Richard	Minnesota Wild	2022	183
Josh Bloom	Minnesota Wild	2021	104
Justin Kipkie	Minnesota Wild	2023	177
Kristoffer Gunnarsson	Minnesota Wild	2017	135
Kyle Aucoin	Minnesota Wild	2020	161
Liam Arnsby	Minnesota Wild	2022	215
Luke Devlin	Minnesota Wild	2022	195
Mattias Havelid	Minnesota Wild	2022	55
Max McCue	Minnesota Wild	2021	168
Maxim Barbashev	Minnesota Wild	2022	163
Maxim Strbak	Minnesota Wild	2023	49
Michael Benning	Minnesota Wild	2020	99
Nick Campoli	Minnesota Wild	2017	158
Noah Ellis	Minnesota Wild	2020	192
Oliver Kapanen	Minnesota Wild	2021	52
Sam Harris	Minnesota Wild	2023	145
Terrell Goldsmith	Minnesota Wild	2023	113
Vladislav Lukashevich	Minnesota Wild	2021	136
Vyacheslav Peksa	Minnesota Wild	2021	200
Zeb Forsfjall	Minnesota Wild	2023	209

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
9	MIN	MIN	MIN	MIN	MIN	MIN	MIN
10	MIN	MIN	MIN	MIN	MIN	MIN	MIN
11	MIN	MIN	MIN	MIN	MIN	MIN	MIN
12	MIN	MIN	MIN	MIN	MIN	MIN	MIN
13	MIN	MIN	MIN	MIN	MIN	MIN	MIN

Minnesota Wild Historique de transactions

[2023-10-16 19:22:07] - Iowa Wild hired Jim Hiller for 1 400 000 $ for 4 year(s).
[2023-10-16 19:21:59] - Minnesota Wild hired Bo Woods for 675 000 $ for 4 year(s).
[2023-10-12 10:36:55] - Jason Garrison was added to Minnesota Wild.
[2023-10-12 10:36:49] - Garrett Mitchell was added to Minnesota Wild.
[2023-10-12 10:36:44] - Cole Bardreau was added to Minnesota Wild.
[2023-10-12 10:36:40] - Chase Wouters was added to Minnesota Wild.
[2023-10-01 11:46:22] - Marc Edouard Vlasic was released.
[2023-10-01 11:46:22] - Derick Brassard was released.
[2023-09-05 18:54:49] - General Manager Change : Minnesota Wild hired general manager Interim Steeve Leblanc
[2023-09-05 18:54:49] - General Manager Change : Minnesota Wild fired general manager Jeffrey Duperron
[2023-09-05 18:54:26] - General Manager Change : Minnesota Wild hired general manager Jeffrey Duperron
[2023-09-05 18:54:26] - General Manager Change : Minnesota Wild fired general manager Jeffrey Duperron
[2023-08-22 19:03:32] - Conor Sheary was added to Minnesota Wild.
[2023-08-22 19:03:27] - James van Riemsdyk was added to Minnesota Wild.
[2023-08-22 19:03:17] - Jonny Brodzinski was added to Minnesota Wild.

[2023-11-27 18:20:14] Minnesota Wild lines for next game are empty. Current rosters/lines are not erased.
[2023-11-27 18:18:30] Auto Lines Partial Function has been run for Minnesota Wild.
[2023-11-27 18:18:30] Auto Roster Partial Function has been run for Minnesota Wild.
[2023-11-27 18:18:30] Jack Dougherty of Minnesota Wild was sent to pro.
[2023-11-27 18:18:30] Wyatt Kaiser of Minnesota Wild was sent to pro.
[2023-11-27 18:18:30] Radim Simek of Minnesota Wild was sent to pro.
[2023-11-27 18:18:05] Iowa Wild lines for next game are empty. Current rosters/lines are not erased.
[2023-11-26 12:21:40] John Ludvig from Iowa Wild is back from Groin Injury.
[2023-11-25 15:45:13] Iowa Wild lines for next game are empty. Current rosters/lines are not erased.
[2023-11-25 15:45:09] Auto Lines Partial Function has been run for Iowa Wild.
[2023-11-23 20:13:48] Minnesota Wild lines for next game are empty. Current rosters/lines are not erased.
[2023-11-23 20:13:47] Game 267 - Elias Lindholm from Minnesota Wild is injured (Left Hip) and is out for 3 weeks.
[2023-11-23 20:13:27] Auto Lines Partial Function has been run for Minnesota Wild.
[2023-11-23 06:13:30] Luke Kunin from Minnesota Wild is back from Lower Body Injury.
[2023-11-23 06:13:12] Minnesota Wild lines for next game are empty. Current rosters/lines are not erased.
[2023-11-23 06:13:11] Game 254 - Luke Kunin from Minnesota Wild is injured (Lower Body) and is out for 4 days.
[2023-11-20 20:43:42] Iowa Wild lines for next game are empty. Current rosters/lines are not erased.
[2023-11-20 20:43:41] Game 202 - John Ludvig from Iowa Wild is injured (Groin) and is out for 2 weeks.
[2023-11-18 11:04:03] Iowa Wild lines for next game are empty. Current rosters/lines are not erased.
[2023-11-16 18:51:30] Minnesota Wild lines for next game are empty. Current rosters/lines are not erased.
[2023-11-15 18:44:12] Wyatt Kaiser from Iowa Wild is back from Strained Right Elbow Injury.
[2023-11-14 17:28:44] Minnesota Wild lines for next game are empty. Current rosters/lines are not erased.

Elias Lindholm est dehors pour 1 semaine à cause de Left Hip Injury.

Minnesota Wild Leaders statistiques des joueurs (saison régulière)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Minnesota Wild Leaders des statistiques des gardiens (saison régulière)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Minnesota Wild Statistiques de l'Équipe de Carrière

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	Total											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

Minnesota Wild Leaders statistiques des joueurs (séries éliminatoires)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Minnesota Wild Leaders des statistiques des gardiens (séries éliminatoires)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Minnesota Wild
	GP: 18 \| W: 8 \| L: 10 \| OTL: 0 \| P: 16 GF: 43 \| GA: 49 \| PP%: 20.00% \| PK%: 83.02% DG: Interim Steeve Leblanc \| Morale : 50 \| Moyenne d’équipe : 69 Prochains matchs #316 vs Detroit Redwings

Année	R1	R2	R3	R4	R5	R6	R7
9	MIN	MIN	MIN	MIN	MIN	MIN	MIN
10	MIN	MIN	MIN	MIN	MIN	MIN	MIN
11	MIN	MIN	MIN	MIN	MIN	MIN	MIN
12	MIN	MIN	MIN	MIN	MIN	MIN	MIN
13	MIN	MIN	MIN	MIN	MIN	MIN	MIN

Année	R1	R2	R3	R4	R5	R6	R7
9	MIN	MIN	MIN	MIN	MIN	MIN	MIN
10	MIN	MIN	MIN	MIN	MIN	MIN	MIN
11	MIN	MIN	MIN	MIN	MIN	MIN	MIN
12	MIN	MIN	MIN	MIN	MIN	MIN	MIN
13	MIN	MIN	MIN	MIN	MIN	MIN	MIN

Année	R1	R2	R3	R4	R5	R6	R7
9	MIN	MIN	MIN	MIN	MIN	MIN	MIN
10	MIN	MIN	MIN	MIN	MIN	MIN	MIN
11	MIN	MIN	MIN	MIN	MIN	MIN	MIN
12	MIN	MIN	MIN	MIN	MIN	MIN	MIN
13	MIN	MIN	MIN	MIN	MIN	MIN	MIN