Iowa
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Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension
Statistiques d’équipe en carrière

Centre de jeu
	Minnesota 34-39-9, 77pts	2	FINAL	6	Chicago 39-33-10, 88pts

Team Stats
L2	Streak	W2
14-22-5	Home Record	19-17-5
20-17-4	Away Record	20-16-5
3-6-1	Last 10 Games	5-5-0
2.70	Buts par match	3.00
3.30	Buts contre par match	3.01
21.53%	Pourcentage en avantage numérique	20.25%
78.96%	Pourcentage en désavantage numérique	83.22%

Arizona
35-36-11, 81pts

FINAL

Minnesota
34-39-9, 77pts

Team Stats
W3	Streak	L2
19-21-1	Home Record	14-22-5
16-15-10	Away Record	20-17-4
6-1-3	Last 10 Games	3-6-1
3.13	Buts par match	2.70
3.22	Buts contre par match	3.30
20.14%	Pourcentage en avantage numérique	21.53%
81.43%	Pourcentage en désavantage numérique	78.96%

Meneurs d'équipe
	Buts Tim Stützle 31	Passes Dougie Hamilton 41

	Points Tim Stützle 70	Plus/Moins Paul Stastny 7

	Victoires Tuukka Rask 30	Pourcentage d’arrêts Corey Crawford 0.908

Statistiques d’équipe
Buts pour 221 2.70 GFG	Tirs pour 2493 30.40 Avg	Pourcentage en avantage numérique 21.5% 62 GF	Début de zone offensive 40.5%
Buts contre 271 3.30 GAA	Tirs contre 2716 33.12 Avg	Pourcentage en désavantage numérique 79.0%% 69 GA	Début de la zone défensive 42.1%

Informations de l'équipe
	Directeur général
	Entraîneur	Mike Yeo
	Division	Centrale
	Conférence	Conference Ouest
	Capitaine	Victor Hedman
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	Xcel Energy Center
	Capacité	18,000
	Assistance	17,850
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	20
	Équipe Mineure	22
	Limite contact	42 / 50
	Espoirs	15
Plafond salarial
	Cap Salarial de la Saison estimé	58,954,899$
	Plafond salarial disponible	6,045,101$
	Valeur du plafond salarial spécial	1,875,000$
	Joueurs Inclus dans le plafond salarial	20
Finance
	Revenu annuel à ce jour	64,535,058$
	Dépenses annuelles à ce jour	64,499,814$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	3,810,397$
	Compte bancaire projeté	3,810,397$
Historique d'équipe
	Saison actuelle	34-39-9 (77PTS)
	Historique	68-78-16 (0.420%)
	Apparitions en séries éliminatoires	0
	Historique en séries éliminatoires (W-L)	-
	Coupe Stanley	0

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Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	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	Devin Shore	X	X	X		100.00	79	34	94	83	86	88	96	74	84	73	74	71	83	52	49	59	50	0	0	26	2	2,800,000$
2	Tim Stützle	X	X			100.00	83	27	98	93	86	87	90	86	68	75	79	64	94	27	29	89	50	0	0	19	2	900,000$
3	Nail Yakupov		X	X		100.00	77	32	95	99	79	84	92	77	57	77	74	58	86	53	55	54	50	0	0	27	2	5,500,000$
4	Paul Stastny	X				100.00	79	39	90	64	75	86	90	70	80	70	72	65	79	84	74	31	50	0	0	35	1	3,450,000$
5	Jordan Eberle			X		100.00	74	49	86	73	74	88	93	73	52	69	73	66	88	62	73	53	50	0	0	31	1	3,300,000$
6	Mike Hoffman		X	X		100.00	76	33	95	78	80	83	96	75	70	71	76	59	84	69	63	54	50	0	0	31	1	5,300,000$
7	Nikita Gusev		X	X		100.00	67	29	99	83	70	83	82	72	68	67	73	58	92	57	52	65	50	0	0	28	1	650,000$
8	Josh Anderson			X		100.00	94	41	67	81	94	90	96	79	72	76	77	72	82	53	53	63	50	0	0	27	2	4,500,000$
9	Sam Bennett	X	X	X		100.00	87	47	71	80	86	82	96	77	98	71	75	62	84	47	45	60	50	0	0	25	4	2,300,000$
10	Jordan Staal	X				100.00	83	31	91	65	84	82	85	74	70	74	76	74	78	90	81	28	50	0	0	32	3	3,500,000$
11	Mathew Barzal	X				100.00	78	33	97	99	83	93	96	87	80	82	81	56	84	43	42	77	50	0	0	24	2	6,000,000$
12	Jake Virtanen		X	X		100.00	86	41	93	91	93	86	98	74	75	70	76	63	84	44	42	76	50	0	0	24	1	900,000$
13	Dougie Hamilton				X	100.00	81	40	62	89	94	96	94	69	50	65	66	91	75	49	48	64	50	0	0	28	1	2,850,000$
14	Erik Gustafsson				X	100.00	77	29	75	76	76	91	87	60	50	60	59	85	71	62	59	45	50	0	0	29	4	500,000$
15	Erik Cernak				X	100.00	91	34	60	84	96	94	89	50	55	53	46	87	76	46	45	70	50	0	0	24	4	1,300,000$
16	David Rundblad				X	100.00	62	33	93	73	89	79	83	52	50	49	50	88	70	61	53	43	50	0	0	30	2	800,000$
17	Adam Pelech				X	100.00	72	35	83	79	90	92	92	60	56	63	54	91	78	53	44	59	50	0	0	26	3	3,200,000$
18	Victor Hedman (C)				X	100.00	81	52	55	74	83	91	99	68	50	74	67	94	83	67	87	58	50	0	0	30	1	4,922,000$
Rayé
Équipe Mineure
1	Tomas Jurco		X	X		100.00	69	33	83	82	81	76	78	74	71	71	72	67	78	50	51	55	50	0	0	28	1	900,000$
2	Torrey Mitchell	X		X		100.00	62	26	84	63	76	64	89	64	86	64	64	66	79	81	79	6	50	0	0	36	1	856,000$
3	Nicolas Deslauriers		X	X		100.00	95	95	64	74	92	75	94	68	70	66	71	65	75	66	76	29	50	0	0	30	3	1,300,000$
4	Ryan Reaves			X		100.00	95	75	85	71	94	73	87	68	70	67	70	63	75	80	80	9	50	0	0	34	1	500,000$
5	Alexander True (R)	X				100.00	79	32	71	78	95	76	86	70	74	69	69	70	78	40	39	62	50	0	0	23	2	600,000$
6	Zack Kassian			X		100.00	91	60	75	73	92	76	84	69	70	69	71	67	75	66	65	24	50	0	0	30	1	500,000$
7	Kole Sherwood (R)			X		100.00	91	38	66	78	89	75	85	66	73	64	67	62	78	42	41	62	50	0	0	24	1	500,000$
8	Dominic Tonatino	X	X	X		100.00	83	30	92	76	84	69	84	69	78	67	71	68	75	55	55	49	50	0	0	27	3	975,000$
9	Maxime Macenauer	X				100.00	65	25	94	75	75	76	72	67	91	66	70	71	67	63	51	23	50	0	0	32	1	500,000$
10	Nicolas Petan	X				99.00	68	29	88	79	73	77	79	80	56	72	71	65	81	47	50	57	50	0	0	26	1	800,000$
11	Pontus Aberg		X	X		100.00	61	27	97	83	81	73	84	72	73	71	67	61	83	55	54	53	50	0	0	27	2	700,000$
12	Valentin Zykov		X	X		100.00	74	27	90	78	87	78	81	71	72	66	70	61	82	50	51	63	50	0	0	26	3	850,000$
13	Nikita Nesterov				X	100.00	73	32	71	82	70	88	86	53	53	53	53	82	74	50	38	52	50	0	0	27	2	750,000$
14	Justin Holl				X	100.00	72	36	82	72	96	78	83	49	50	49	48	84	72	57	56	52	50	0	0	29	1	550,000$
15	Jeremy Lauzon				X	100.00	87	42	66	85	90	87	86	53	51	54	46	91	78	46	41	71	50	0	0	24	1	700,000$
16	Christian Jaros (R)				X	100.00	78	32	78	80	92	76	84	46	51	46	46	86	73	47	48	61	50	0	0	25	1	500,000$
17	Sebastian Aho (D) (R)				X	100.00	75	25	85	80	77	77	80	48	50	43	44	81	70	47	46	65	50	0	0	25	1	600,000$
18	Tarmo Reunanen (R)				X	100.00	77	27	85	83	86	80	84	44	52	45	43	83	73	40	40	67	50	0	0	23	2	500,000$
19	Shawn Matthias	X	X			100.00	64	28	74	65	82	76	85	65	66	61	62	59	76	68	74	27	50	0	0	33	1	755,000$
20	Andrej Sustr				X	100.00	71	38	59	73	86	84	89	50	50	48	52	83	62	55	57	47	50	0	0	30	1	600,000$

	MOYENNE D’ÉQUIPE					100.00	79	37	84	81	84	88	92	71	66	69	69	72	82	57	55	58	50	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	Âge	Contrat	Salaire moyen
1	Tuukka Rask	99.00	69	90	92	91	84	96	95	94	97	86	90	90	82	40	50	0	0	34	3	3,000,000$
2	Corey Crawford	100.00	60	84	92	89	81	92	91	93	92	90	95	85	99	15	50	0	0	36	3	1,100,000$
Rayé
Équipe Mineure
1	Vitek Vanecek	98.00	73	84	90	89	84	93	92	96	97	92	95	49	49	70	50	0	0	25	1	500,000$
2	Jon Gillies	100.00	69	75	73	97	80	92	92	90	89	88	85	53	53	63	50	0	0	27	2	650,000$

	MOYENNE D’ÉQUIPE	99.50	65	87	92	90	83	94	93	94	95	88	93	88	91	28	50	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Mike Yeo	77	80	89	99	95	96	77	CAN	46	1	3,500,000$

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Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Tim Stützle	Minnesota	C/LW	79	31	39	70	3	24	0	63	104	305	64	193	10.16%	3	1473	18.66	5	13	18	48	219	3	0	3	4	56	3	1	38.27%	473	0	1	0.95	1	6	0	0	0	6	2	4
2	Mathew Barzal	Minnesota	C	78	24	35	59	-23	10	0	36	157	234	65	165	10.26%	7	1561	20.01	7	16	23	43	230	0	0	0	0	52	2	1	47.65%	2153	0	0	0.76	1	6	0	0	0	4	4	1
3	Dougie Hamilton	Minnesota	D	79	15	41	56	-10	61	5	119	94	148	65	89	10.14%	118	1838	23.27	10	11	21	75	233	1	0	1	4	251	3	2	0.00%	0	0	0	0.61	0	0	0	0	1	5	3	2
4	Victor Hedman	Minnesota	D	77	12	38	50	-6	134	30	149	67	156	35	90	7.69%	119	1786	23.20	6	15	21	86	234	0	0	0	2	203	3	1	0.00%	0	0	0	0.56	0	0	5	0	1	1	2	3
5	Josh Anderson	Minnesota	RW	79	25	23	48	-19	113	5	218	85	215	58	167	11.63%	12	1525	19.30	8	8	16	43	218	0	0	0	3	61	6	2	44.87%	156	0	0	0.63	1	6	0	1	0	5	2	3
6	Jordan Staal	Minnesota	C	82	10	29	39	-7	40	0	92	151	151	44	120	6.62%	10	1501	18.31	3	7	10	29	167	0	1	1	7	166	1	0	47.12%	2012	0	0	0.52	1	8	0	0	0	0	1	2
7	Devin Shore	Minnesota	C/LW/RW	82	10	28	38	-23	14	0	33	98	177	46	111	5.65%	12	1212	14.78	2	5	7	15	60	0	1	1	4	146	0	1	47.70%	457	0	0	0.63	1	4	0	0	0	1	1	2
8	Nail Yakupov	Minnesota	LW/RW	79	13	25	38	-30	12	0	49	82	192	44	157	6.77%	5	1427	18.07	5	11	16	40	225	0	0	0	2	28	2	0	31.43%	105	0	0	0.53	0	2	0	0	0	0	1	1
9	Jake Virtanen	Minnesota	LW/RW	82	18	20	38	0	48	10	121	73	182	63	143	9.89%	6	1363	16.63	6	8	14	32	187	0	0	0	4	74	2	0	50.00%	116	1	0	0.56	3	6	0	0	1	1	3	3
10	Adam Pelech	Minnesota	D	71	8	21	29	-18	10	0	23	69	94	29	56	8.51%	111	1460	20.57	4	3	7	41	134	0	1	1	1	192	0	1	0.00%	0	0	0	0.40	0	0	0	0	0	0	0	2
11	Sam Bennett	Minnesota	C/LW/RW	79	11	17	28	-14	82	30	136	94	129	33	105	8.53%	7	1020	12.92	0	5	5	8	46	0	1	1	1	37	0	0	51.96%	1020	0	0	0.55	1	7	1	3	2	0	5	1
12	Mike Hoffman	Minnesota	LW/RW	82	12	12	24	-18	20	0	30	39	133	36	74	9.02%	5	1074	13.10	1	1	2	15	73	0	0	0	0	0	2	0	49.44%	89	0	0	0.45	1	2	0	0	0	0	3	1
13	Erik Gustafsson	Minnesota	D	79	5	17	22	-10	66	0	88	43	75	23	66	6.67%	83	1379	17.46	1	3	4	30	148	0	1	1	0	87	0	0	0.00%	0	0	0	0.32	0	0	0	0	0	1	0	1
14	David Rundblad	Minnesota	D	56	1	15	16	0	14	0	9	28	32	11	29	3.13%	69	868	15.50	0	1	1	0	3	0	0	0	0	70	0	0	0.00%	0	0	0	0.37	0	0	0	0	0	0	1	2
15	Erik Cernak	Minnesota	D	79	3	12	15	-25	106	0	167	57	47	18	30	6.38%	135	1514	19.17	0	1	1	3	37	1	0	1	2	216	1	0	0.00%	0	0	0	0.20	0	0	0	0	0	0	1	0
16	Jordan Eberle	Minnesota	RW	82	8	6	14	-4	20	10	41	33	78	24	52	10.26%	13	800	9.76	3	3	6	11	64	0	0	0	2	202	1	1	36.51%	63	0	0	0.35	1	1	0	2	0	0	1	2
17	Jeremy Lauzon	Iowa (MIN)	D	37	2	8	10	-15	44	0	67	25	34	11	22	5.88%	48	722	19.53	0	1	1	14	47	0	1	1	1	67	0	0	0.00%	0	0	0	0.28	0	0	0	0	0	0	0	1
18	Nikita Gusev	Minnesota	LW/RW	73	5	4	9	-3	2	0	5	25	44	11	32	11.36%	3	499	6.84	0	0	0	1	0	0	0	0	2	58	0	1	36.67%	30	0	0	0.36	0	1	0	0	0	0	1	0
19	Paul Stastny	Minnesota	C	59	1	3	4	7	4	0	23	33	17	15	17	5.88%	2	406	6.88	0	0	0	1	1	0	1	1	2	113	0	0	51.29%	542	0	0	0.20	0	0	0	0	0	0	0	0
20	Sebastian Aho (D)	Iowa (MIN)	D	12	0	3	3	-3	8	0	4	12	6	0	2	0.00%	17	220	18.38	0	2	2	3	19	0	0	0	0	35	0	0	0.00%	0	0	0	0.27	0	0	0	0	0	0	0	0
21	Nicolas Petan	Iowa (MIN)	C	18	0	2	2	-3	6	0	5	11	12	8	12	0.00%	2	183	10.21	0	0	0	0	0	0	0	0	0	6	0	0	33.82%	136	0	0	0.22	0	0	0	0	0	0	0	0
22	Kole Sherwood	Iowa (MIN)	RW	16	1	0	1	-6	4	0	18	7	14	7	7	7.14%	2	166	10.38	0	0	0	0	2	0	0	0	0	26	0	0	38.89%	18	0	0	0.12	0	0	0	0	0	0	0	0
23	Tomas Jurco	Iowa (MIN)	LW/RW	9	0	0	0	-4	0	0	1	4	7	1	6	0.00%	0	42	4.73	0	0	0	0	1	0	0	0	0	0	0	0	0.00%	1	0	0	0.00%	0	0	0	0	0	0	0	0
24	Nicolas Deslauriers	Iowa (MIN)	LW/RW	3	0	0	0	-2	2	0	0	0	0	0	0	0.00%	0	12	4.06	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00%	0	0	0	0	0	0	0	0
25	Alexander True	Iowa (MIN)	C	4	0	0	0	1	4	0	2	3	1	0	3	0.00%	0	17	4.29	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	1	0	0	0.00%	0	0	0	0	0	0	0	0
26	Valentin Zykov	Iowa (MIN)	LW/RW	1	0	0	0	0	0	0	1	1	0	0	1	0.00%	0	6	6.87	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00%	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1477	215	398	613	-232	848	90	1500	1395	2483	711	1749	8.66%	789	24084	16.31	61	114	175	538	2358	5	7	12	41	2158	26	11	47.11%	7372	1	1	0.51	11	49	6	6	5	24	31	31

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Tuukka Rask	Minnesota	73	30	33	8	0.904	3.11	4326	6	4	224	2340	1	3	0.762	42	71	10	8	3	3
2	Corey Crawford	Minnesota	8	3	2	1	0.908	2.85	421	0	0	20	217	0	0	0.667	3	6	53	1	0	0
3	Vitek Vanecek	Iowa (MIN)	5	1	4	0	0.885	4.58	236	0	0	18	156	0	0	1.000	4	5	19	1	1	0
Statistiques d’équipe totales ou en moyenne			86	34	39	9	0.903	3.15	4984	6	4	262	2713	1	3		49	82	82	10	4	3

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	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Link
Adam Pelech (contrat à 1 volet)	Minnesota	D	26	1994-08-16	No	224 Lbs	6 ft3	No	No	Yes	Yes	3	Pro & Farm	3,200,000$	3,200,000$	0$	No	3,200,000$	3,200,000$		Lien
Corey Crawford	Minnesota	G	36	1984-12-31 08:59:41	No	221 Lbs	6 ft2	No	No	No	No	3	Pro & Farm	1,100,000$	1,100,000$	0$	No	1,100,000$	1,100,000$		Lien
David Rundblad (contrat à 1 volet)	Minnesota	D	30	1990-10-08	No	194 Lbs	6 ft2	No	No	Yes	Yes	2	Pro & Farm	800,000$	800,000$	0$	No	800,000$			Lien
Devin Shore (contrat à 1 volet)	Minnesota	C/LW/RW	26	1994-07-09	No	212 Lbs	6 ft1	No	No	Yes	Yes	2	Pro & Farm	2,800,000$	2,800,000$	0$	No	2,800,000$			Lien
Dougie Hamilton (contrat à 1 volet)	Minnesota	D	28	1993-06-17	No	219 Lbs	6 ft5	No	No	Yes	Yes	1	Pro & Farm	2,850,000$	2,850,000$	0$	No				Lien
Erik Cernak (contrat à 1 volet)	Minnesota	D	24	1997-05-28	No	228 Lbs	6 ft4	No	No	Yes	Yes	4	Pro & Farm	1,300,000$	1,300,000$	0$	No	1,300,000$	1,300,000$	1,300,000$	Lien
Erik Gustafsson (contrat à 1 volet)	Minnesota	D	29	1992-03-14	No	198 Lbs	6 ft0	No	No	Yes	Yes	4	Pro & Farm	3,200,000$	500,000$	0$	No	3,200,000$	3,200,000$	3,200,000$	Lien
Jake Virtanen	Minnesota	LW/RW	24	1996-08-17	No	230 Lbs	6 ft1	No	No	No	No	1	Pro & Farm	900,000$	900,000$	0$	No				Lien
Jordan Eberle (contrat à 1 volet)	Minnesota	RW	31	1990-05-15	No	195 Lbs	5 ft11	No	No	Yes	Yes	1	Pro & Farm	3,300,000$	3,300,000$	0$	No				Lien
Jordan Staal (contrat à 1 volet)	Minnesota	C	32	1988-09-10	No	240 Lbs	6 ft4	No	No	Yes	Yes	3	Pro & Farm	3,500,000$	3,500,000$	0$	No	3,500,000$	3,500,000$
Josh Anderson (contrat à 1 volet)	Minnesota	RW	27	1994-05-07	No	225 Lbs	6 ft3	No	No	Yes	Yes	2	Pro & Farm	4,500,000$	4,500,000$	0$	No	4,500,000$
Mathew Barzal (contrat à 1 volet)	Minnesota	C	24	1997-05-26	No	200 Lbs	6 ft0	No	No	Yes	Yes	2	Pro & Farm	6,000,000$	6,000,000$	0$	No	6,000,000$			Lien
Mike Hoffman (contrat à 1 volet)	Minnesota	LW/RW	31	1989-11-24	No	190 Lbs	6 ft0	No	No	Yes	Yes	1	Pro & Farm	5,300,000$	5,300,000$	0$	No				Lien
Nail Yakupov (contrat à 1 volet)	Minnesota	LW/RW	27	1993-10-06	No	199 Lbs	6 ft3	No	No	Yes	Yes	2	Pro & Farm	5,500,000$	5,500,000$	0$	No	5,500,000$			Lien
Nikita Gusev (contrat à 1 volet)	Minnesota	LW/RW	28	1992-07-08	No	165 Lbs	5 ft9	No	No	Yes	Yes	1	Pro & Farm	650,000$	650,000$	0$	No
Paul Stastny (contrat à 1 volet)	Minnesota	C	35	1985-12-27	No	216 Lbs	6 ft0	No	No	Yes	Yes	1	Pro & Farm	3,450,000$	3,450,000$	0$	No
Sam Bennett (contrat à 1 volet)	Minnesota	C/LW/RW	25	1996-06-20	No	200 Lbs	5 ft3	No	No	Yes	Yes	4	Pro & Farm	2,300,000$	2,300,000$	0$	No	2,300,000$	2,300,000$	2,300,000$	Lien
Tim Stützle	Minnesota	C/LW	19	2002-01-15	No	191 Lbs	6 ft1	No	No	No	No	2	Pro & Farm	900,000$	900,000$	0$	No	900,000$			Lien
Tuukka Rask (contrat à 1 volet)	Minnesota	G	34	1987-03-10 05:37:02	No	198 Lbs	6 ft3	No	No	Yes	Yes	3	Pro & Farm	3,000,000$	3,000,000$	0$	No	3,000,000$	3,000,000$		Lien
Victor Hedman (contrat à 1 volet)	Minnesota	D	30	1990-12-18	No	248 Lbs	6 ft5	No	No	Yes	Yes	1	Pro & Farm	4,922,000$	4,922,000$	0$	No				Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
20	28.30	210 Lbs	6 ft1	2.15	2,973,600$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
59,472,000$	38,100,000$	17,600,000$	6,800,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Nail Yakupov	Mathew Barzal	Josh Anderson	34	0	2	3
2	Tim Stützle	Jordan Staal	Jake Virtanen	32	0	2	3
3	Mike Hoffman	Sam Bennett	Devin Shore	26	1	2	2
4	Nikita Gusev	Paul Stastny	Jordan Eberle	8	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Victor Hedman	Dougie Hamilton	35	0	2	3
2	Erik Cernak	Adam Pelech	35	0	2	3
3	Erik Gustafsson	David Rundblad	30	1	2	2
4	Victor Hedman	Dougie Hamilton	0	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Nail Yakupov	Mathew Barzal	Josh Anderson	60	0	0	5
2	Tim Stützle	Jordan Staal	Jake Virtanen	40	0	0	5

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Victor Hedman	Dougie Hamilton	60	0	0	5
2	Erik Gustafsson	Adam Pelech	40	0	0	5

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Paul Stastny	Jordan Eberle	60	1	4	0
2	Devin Shore	Jake Virtanen	40	1	4	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Victor Hedman	Dougie Hamilton	60	1	4	0
2	Erik Cernak	Adam Pelech	40	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Jordan Staal	60	1	4	0	Victor Hedman	Dougie Hamilton	60	1	4	0
2	Devin Shore	40	1	4	0	Erik Cernak	Adam Pelech	40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Mathew Barzal	Josh Anderson	60	1	2	2
2	Jordan Staal	Jake Virtanen	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Victor Hedman	Dougie Hamilton	60	1	2	2
2	Erik Cernak	Adam Pelech	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Nail Yakupov	Mathew Barzal	Josh Anderson	Victor Hedman	Dougie Hamilton

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jake Virtanen	Jordan Staal	Devin Shore	Victor Hedman	Dougie Hamilton

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Mike Hoffman, Jake Virtanen, Sam Bennett	Mike Hoffman, Jake Virtanen	Sam Bennett

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Erik Cernak, David Rundblad, Erik Gustafsson	Erik Cernak	David Rundblad, Erik Cernak

Tirs de pénalité
Sam Bennett, Jake Virtanen, Jordan Staal, Devin Shore, Nail Yakupov

Gardien
#1 : Tuukka Rask, #2 : Corey Crawford

Lignes d’attaque personnalisées en prolongation
Jake Virtanen, Jordan Staal, Devin Shore, Mathew Barzal, Josh Anderson, Nail Yakupov, Nail Yakupov, Sam Bennett, Mike Hoffman, Tim Stützle, Jordan Eberle

Lignes de défense personnalisées en prolongation
Victor Hedman, Dougie Hamilton, Erik Cernak, Adam Pelech, Erik Gustafsson

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	Anaheim	4	0	3	0	0	0	0	1	7	17	-10	2	0	2	0	0	0	0	0	3	10	-7	2	0	1	0	0	0	0	1	4	7	-3	1	0.125	7	14	21	1	0	0	4	3	1	125	49	32	40	7	151	23	37	67	11	2	18.18%	16	5	68.75%	0	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	94	66	98	29	52	24
2	Arizona	4	1	2	0	0	1	0	0	14	18	-4	2	0	1	0	0	1	0	0	8	10	-2	2	1	1	0	0	0	0	0	6	8	-2	3	0.375	14	27	41	0	0	4	3	7	0	113	38	38	37	0	147	48	30	61	9	3	33.33%	15	1	93.33%	0	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	89	63	102	26	47	23
3	Boston	2	0	2	0	0	0	0	0	2	8	-6	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	2	4	6	0	0	0	1	1	0	51	13	21	17	0	67	19	20	32	6	0	0.00%	10	4	60.00%	0	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	45	31	49	15	24	11
4	Buffalo	2	0	1	0	0	0	0	1	8	11	-3	1	0	0	0	0	0	0	1	5	6	-1	1	0	1	0	0	0	0	0	3	5	-2	1	0.250	8	14	22	0	0	1	5	2	0	91	25	33	32	4	53	13	15	40	10	1	10.00%	4	2	50.00%	0	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	52	37	45	15	26	12
5	Chicago	6	3	3	0	0	0	0	0	18	22	-4	3	1	2	0	0	0	0	0	9	11	-2	3	2	1	0	0	0	0	0	9	11	-2	6	0.500	18	34	52	0	0	10	4	4	0	187	63	49	75	0	222	71	64	101	17	4	23.53%	30	9	70.00%	0	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	132	89	153	44	73	35
6	Columbus	2	2	0	0	0	0	0	0	9	3	6	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	5	2	3	4	1.000	9	16	25	0	0	3	3	3	0	63	18	20	25	0	57	14	14	39	11	1	9.09%	7	0	100.00%	0	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	47	32	47	15	25	12
7	Dallas	6	1	4	0	0	0	0	1	10	22	-12	3	0	2	0	0	0	0	1	5	10	-5	3	1	2	0	0	0	0	0	5	12	-7	3	0.250	10	17	27	0	0	5	2	3	0	153	54	49	49	3	227	73	50	115	20	4	20.00%	24	4	83.33%	1	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	126	85	163	44	74	35
8	Detroit	2	1	0	0	0	0	1	0	8	3	5	1	0	0	0	0	0	1	0	4	3	1	1	1	0	0	0	0	0	0	4	0	4	4	1.000	8	13	21	0	1	3	3	1	1	69	32	17	16	6	71	18	16	44	11	4	36.36%	7	0	100.00%	1	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	49	33	49	15	25	13
9	Edmonton	4	0	4	0	0	0	0	0	6	15	-9	2	0	2	0	0	0	0	0	2	9	-7	2	0	2	0	0	0	0	0	4	6	-2	0	0.000	6	11	17	0	0	5	0	1	0	120	50	45	25	0	126	40	50	66	16	3	18.75%	15	4	73.33%	0	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	94	66	93	28	51	24
10	Floride	2	1	1	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	1	4	-3	1	1	0	0	0	0	0	0	5	0	5	2	0.500	6	8	14	0	1	2	1	3	0	56	20	16	20	0	61	17	37	35	6	2	33.33%	11	1	90.91%	1	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	45	31	47	13	26	13
11	LosAngeles	4	1	2	0	0	0	1	0	9	9	0	2	0	1	0	0	0	1	0	4	5	-1	2	1	1	0	0	0	0	0	5	4	1	4	0.500	9	15	24	0	0	2	3	3	1	109	41	35	29	11	113	34	26	78	16	6	37.50%	10	0	100.00%	0	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	94	65	101	28	49	24
12	Montreal	2	1	1	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	5	10	15	1	0	2	2	1	0	77	21	34	22	0	59	28	8	28	8	4	50.00%	4	0	100.00%	0	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	47	33	47	13	25	12
13	NYRangers	2	1	1	0	0	0	0	0	7	6	1	1	1	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	7	14	21	0	0	2	2	3	0	57	27	13	17	0	79	19	12	43	5	0	0.00%	6	2	66.67%	0	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	46	31	47	14	25	11
14	Nashville	6	1	2	0	1	1	1	0	13	13	0	3	0	2	0	1	0	0	0	7	8	-1	3	1	0	0	0	1	1	0	6	5	1	7	0.583	13	20	33	0	0	5	2	4	2	175	52	66	50	10	165	54	57	131	21	3	14.29%	20	6	70.00%	0	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	153	107	136	43	78	39
15	New Jersey	3	2	0	0	0	0	0	1	8	7	1	2	1	0	0	0	0	0	1	7	7	0	1	1	0	0	0	0	0	0	1	0	1	5	0.833	8	14	22	0	1	3	3	2	0	82	21	31	28	6	92	26	62	41	18	3	16.67%	14	1	92.86%	1	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	72	49	73	22	38	20
16	Philadelphie	2	0	0	0	0	0	1	1	6	6	0	1	0	0	0	0	0	0	1	3	4	-1	1	0	0	0	0	0	1	0	3	2	1	3	0.750	6	8	14	0	0	1	4	0	2	60	22	16	20	9	60	20	23	53	4	0	0.00%	9	1	88.89%	0	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	50	35	52	15	27	13
17	Pittsburgh	3	1	2	0	0	0	0	0	10	15	-5	2	1	1	0	0	0	0	0	8	8	0	1	0	1	0	0	0	0	0	2	7	-5	2	0.333	10	20	30	0	0	5	3	2	0	105	36	34	35	0	101	22	26	59	14	4	28.57%	12	4	66.67%	0	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	69	47	71	23	38	18
18	San Jose	6	2	2	0	1	0	1	0	14	16	-2	2	1	1	0	0	0	0	0	6	7	-1	4	1	1	0	1	0	1	0	8	9	-1	8	0.667	14	25	39	0	0	4	6	2	2	177	58	56	60	7	216	75	69	91	19	3	15.79%	27	7	74.07%	1	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	138	95	156	43	72	35
19	St. Louis	6	3	3	0	0	0	0	0	18	21	-3	3	2	1	0	0	0	0	0	7	6	1	3	1	2	0	0	0	0	0	11	15	-4	6	0.500	18	34	52	0	1	5	8	5	0	195	62	68	65	0	182	61	83	116	18	6	33.33%	29	5	82.76%	0	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	142	98	141	45	75	38
20	Toronto	2	1	0	0	0	0	1	0	7	5	2	1	0	0	0	0	0	1	0	4	3	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	7	11	18	0	0	2	1	3	1	77	13	24	38	6	61	22	8	35	12	0	0.00%	4	1	75.00%	0	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	54	37	43	15	27	14
21	Vancouver	4	0	2	0	0	1	1	0	9	17	-8	2	0	2	0	0	0	0	0	1	9	-8	2	0	0	0	0	1	1	0	8	8	0	3	0.375	9	15	24	0	0	4	3	1	2	109	42	35	31	5	136	40	45	86	9	1	11.11%	19	6	68.42%	0	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	90	59	102	29	53	25
22	Washington	2	1	0	0	0	0	0	1	7	6	1	1	1	0	0	0	0	0	0	5	3	2	1	0	0	0	0	0	0	1	2	3	-1	3	0.750	7	13	20	0	0	3	0	4	1	71	18	26	25	6	68	19	14	29	10	3	30.00%	7	2	71.43%	0	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	53	39	46	14	24	12
23	Winnipeg	6	2	4	0	0	0	0	0	20	23	-3	3	0	3	0	0	0	0	0	6	11	-5	3	2	1	0	0	0	0	0	14	12	2	4	0.333	20	37	57	1	0	9	5	6	0	171	48	46	77	0	202	58	56	87	17	5	29.41%	28	4	85.71%	0	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	135	93	147	46	76	36
	Total	82	25	39	0	2	3	7	6	221	271	-50	41	10	22	0	1	1	3	4	110	143	-33	41	15	17	0	1	2	4	2	111	128	-17	77	0.470	221	394	615	3	4	80	68	64	13	2493	823	804	833	80	2716	814	822	1477	288	62	21.53%	328	69	78.96%	5	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	1928	1330	2020	606	1042	511
	_Since Last GM Reset	82	25	39	0	2	3	7	6	221	271	-50	41	10	22	0	1	1	3	4	110	143	-33	41	15	17	0	1	2	4	2	111	128	-17	77	0.470	221	394	615	3	4	80	68	64	13	2493	823	804	833	80	2716	814	822	1477	288	62	21.53%	328	69	78.96%	5	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	1928	1330	2020	606	1042	511
	_Vs Conference	56	14	31	0	2	3	4	2	138	193	-55	27	4	19	0	1	1	1	1	58	96	-38	29	10	12	0	1	2	3	1	80	97	-17	45	0.402	138	249	387	2	1	53	40	39	8	1634	557	519	538	43	1887	577	567	999	173	40	23.12%	233	51	78.11%	2	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	1292	890	1397	410	706	344
	_Vs Division	30	10	16	0	1	1	1	1	79	101	-22	15	3	10	0	1	0	0	1	34	46	-12	15	7	6	0	0	1	1	0	45	55	-10	26	0.433	79	142	221	1	1	34	21	22	2	881	279	278	316	13	998	317	310	550	93	22	23.66%	131	28	78.63%	1	1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%	690	473	742	224	379	185

			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
82	77	L2	221	394	615	2493	2716	814	822	1477	3	4

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	25	39	2	3	7	6	221	271

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	10	22	1	1	3	4	110	143

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	15	17	1	2	4	2	111	128

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
3	6	0	1	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
288	62	21.53%	328	69	78.96%	5

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
823	804	833	80	80	68	64	13

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
1402	2986	46.95%	1446	3101	46.63%	627	1277	49.10%

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
1928	1330	2020	606	1042	511

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
1 - 2022-11-25	3	Minnesota	2	San Jose	1	AW			Sommaire du match
3 - 2022-11-26	14	Minnesota	5	St. Louis	4	AW			Sommaire du match
4 - 2022-11-26	22	Winnipeg	4	Minnesota	2	BL			Sommaire du match
7 - 2022-11-28	32	Minnesota	2	Dallas	5	AL			Sommaire du match
9 - 2022-11-29	43	Minnesota	3	San Jose	2	AW	X	X	Sommaire du match
10 - 2022-11-29	49	St. Louis	4	Minnesota	2	BL			Sommaire du match
13 - 2022-12-01	63	Minnesota	3	Winnipeg	4	AL			Sommaire du match
14 - 2022-12-01	71	Chicago	3	Minnesota	4	BW			Sommaire du match
17 - 2022-12-03	91	Minnesota	4	Chicago	3	AW			Sommaire du match
18 - 2022-12-03	98	Dallas	4	Minnesota	1	BL			Sommaire du match
21 - 2022-12-05	113	Nashville	3	Minnesota	2	BL			Sommaire du match
23 - 2022-12-06	126	Minnesota	1	Nashville	2	AL	X		Sommaire du match
26 - 2022-12-07	140	Nashville	3	Minnesota	4	BW	X		Sommaire du match
28 - 2022-12-08	153	Minnesota	3	Edmonton	4	AL			Sommaire du match
31 - 2022-12-10	163	Edmonton	5	Minnesota	2	BL			Sommaire du match
33 - 2022-12-11	182	Anaheim	4	Minnesota	2	BL			Sommaire du match
35 - 2022-12-12	189	Minnesota	1	Anaheim	2	AL	X	X	Sommaire du match
40 - 2022-12-14	209	New Jersey	4	Minnesota	3	BL	X	X	Sommaire du match
42 - 2022-12-15	217	Minnesota	4	Detroit	0	AW			Sommaire du match
44 - 2022-12-16	229	Boston	4	Minnesota	2	BL			Sommaire du match
46 - 2022-12-17	240	Minnesota	3	Arizona	6	AL			Sommaire du match
48 - 2022-12-18	251	Minnesota	1	Edmonton	2	AL			Sommaire du match
50 - 2022-12-19	259	Pittsburgh	5	Minnesota	4	BL			Sommaire du match
54 - 2022-12-21	278	Toronto	3	Minnesota	4	BW	X	X	Sommaire du match
56 - 2022-12-22	292	Minnesota	1	Montreal	3	AL			Sommaire du match
57 - 2022-12-23	301	Philadelphie	4	Minnesota	3	BL	X	X	Sommaire du match
61 - 2022-12-25	315	Minnesota	5	Floride	0	AW			Sommaire du match
63 - 2022-12-26	326	Nashville	2	Minnesota	1	BL			Sommaire du match
65 - 2022-12-27	339	Minnesota	0	San Jose	4	AL			Sommaire du match
67 - 2022-12-28	348	Minnesota	2	Dallas	1	AW			Sommaire du match
68 - 2022-12-28	353	LosAngeles	2	Minnesota	3	BW	X	X	Sommaire du match
71 - 2022-12-30	371	Minnesota	1	Dallas	6	AL			Sommaire du match
73 - 2022-12-31	378	San Jose	6	Minnesota	4	BL			Sommaire du match
78 - 2023-01-02	397	Vancouver	6	Minnesota	0	BL			Sommaire du match
80 - 2023-01-03	411	Minnesota	2	NYRangers	3	AL			Sommaire du match
82 - 2023-01-04	419	Vancouver	3	Minnesota	1	BL			Sommaire du match
84 - 2023-01-05	433	Minnesota	2	Nashville	1	AW	X	X	Sommaire du match
86 - 2023-01-06	443	Buffalo	6	Minnesota	5	BL	X	X	Sommaire du match
88 - 2023-01-07	457	Minnesota	3	Nashville	2	AW			Sommaire du match
90 - 2023-01-08	467	Minnesota	3	Arizona	2	AW			Sommaire du match
92 - 2023-01-09	474	Detroit	3	Minnesota	4	BW	X	X	Sommaire du match
94 - 2023-01-10	487	Minnesota	2	Washington	3	AL	X	X	Sommaire du match
95 - 2023-01-11	496	Pittsburgh	3	Minnesota	4	BW			Sommaire du match
98 - 2023-01-12	512	Minnesota	5	Winnipeg	4	AW			Sommaire du match
100 - 2023-01-13	521	NYRangers	3	Minnesota	5	BW			Sommaire du match
103 - 2023-01-15	539	New Jersey	3	Minnesota	4	BW			Sommaire du match
105 - 2023-01-16	552	Minnesota	3	Philadelphie	2	AW	X	X	Sommaire du match
107 - 2023-01-17	562	Minnesota	4	LosAngeles	2	AW			Sommaire du match
110 - 2023-01-18	570	Winnipeg	3	Minnesota	1	BL			Sommaire du match
114 - 2023-01-20	588	Anaheim	6	Minnesota	1	BL			Sommaire du match
119 - 2023-01-23	610	Columbus	1	Minnesota	4	BW			Sommaire du match
121 - 2023-01-24	617	Minnesota	6	Winnipeg	4	AW			Sommaire du match
124 - 2023-01-25	635	Minnesota	1	LosAngeles	2	AL			Sommaire du match
125 - 2023-01-26	640	Chicago	5	Minnesota	3	BL			Sommaire du match
128 - 2023-01-27	659	Chicago	3	Minnesota	2	BL			Sommaire du match
131 - 2023-01-29	672	Minnesota	4	Vancouver	5	AL	X		Sommaire du match
133 - 2023-01-30	684	Edmonton	4	Minnesota	0	BL			Sommaire du match
135 - 2023-01-31	692	Minnesota	3	Toronto	2	AW			Sommaire du match
137 - 2023-02-01	706	Winnipeg	4	Minnesota	3	BL			Sommaire du match
139 - 2023-02-02	713	Minnesota	1	New Jersey	0	AW			Sommaire du match
141 - 2023-02-03	724	Minnesota	4	St. Louis	6	AL			Sommaire du match
143 - 2023-02-04	733	Washington	3	Minnesota	5	BW			Sommaire du match
145 - 2023-02-05	746	Minnesota	2	St. Louis	5	AL			Sommaire du match
147 - 2023-02-06	756	St. Louis	0	Minnesota	2	BW			Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2023-02-07	765	Minnesota	4	Vancouver	3	AW	X	X	Sommaire du match
150 - 2023-02-07	770	Minnesota	3	San Jose	2	AW	X		Sommaire du match
152 - 2023-02-08	783	San Jose	1	Minnesota	2	BW			Sommaire du match
156 - 2023-02-10	804	Minnesota	5	Columbus	2	AW			Sommaire du match
157 - 2023-02-11	806	Minnesota	2	Pittsburgh	7	AL			Sommaire du match
159 - 2023-02-12	815	Dallas	2	Minnesota	1	BL			Sommaire du match
162 - 2023-02-13	833	LosAngeles	3	Minnesota	1	BL			Sommaire du match
166 - 2023-02-15	851	Dallas	4	Minnesota	3	BL	X	X	Sommaire du match
167 - 2023-02-16	861	Minnesota	3	Buffalo	5	AL			Sommaire du match
170 - 2023-02-17	876	St. Louis	2	Minnesota	3	BW			Sommaire du match
172 - 2023-02-18	886	Minnesota	0	Boston	4	AL			Sommaire du match
175 - 2023-02-20	900	Floride	4	Minnesota	1	BL			Sommaire du match
180 - 2023-02-22	921	Montreal	1	Minnesota	4	BW			Sommaire du match
183 - 2023-02-24	934	Minnesota	3	Anaheim	5	AL			Sommaire du match
186 - 2023-02-25	946	Arizona	5	Minnesota	4	BL	X		Sommaire du match
187 - 2023-02-26	951	Minnesota	3	Chicago	2	AW			Sommaire du match
192 - 2023-02-28	966	Minnesota	2	Chicago	6	AL			Sommaire du match
195 - 2023-03-02	982	Arizona	5	Minnesota	4	BL			Sommaire du match

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	80	60	50	30	175
Assistance	244,684	205,000	77,335	164,000	40,813
Attendance PCT	99.47%	100.00%	94.31%	100.00%	99.54%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
0	17850 - 99.16%	1,574,026$	64,535,058$	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
64,499,814$	59,472,000$	56,772,000$	0$	1,875,000$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
288,183$	57,079,899$	0$	20	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	0	319,655$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	3,810,397$	3,810,397$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
58,954,899$	6,045,101$	65,000,000$	18,954,899$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Tim Stützle	AGE:19	PO:89	OV:0
Jake Virtanen	AGE:24	PO:76	OV:0
Nikita Gusev	AGE:28	PO:65	OV:0
Valentin Zykov	AGE:26	PO:63	OV:0
Sam Bennett	AGE:25	PO:60	OV:0
Devin Shore	AGE:26	PO:59	OV:0
Tomas Jurco	AGE:28	PO:55	OV:0
Nail Yakupov	AGE:27	PO:54	OV:0
Mike Hoffman	AGE:31	PO:54	OV:0
Pontus Aberg	AGE:27	PO:53	OV:0
Dominic Tonatino	AGE:27	PO:49	OV:0
Nicolas Deslauriers	AGE:30	PO:29	OV:0
Shawn Matthias	AGE:33	PO:27	OV:0

Tim Stützle	AGE:19	PO:89	OV:0
Mathew Barzal	AGE:24	PO:77	OV:0
Alexander True (R)	AGE:23	PO:62	OV:0
Sam Bennett	AGE:25	PO:60	OV:0
Devin Shore	AGE:26	PO:59	OV:0
Nicolas Petan	AGE:26	PO:57	OV:0
Dominic Tonatino	AGE:27	PO:49	OV:0
Paul Stastny	AGE:35	PO:31	OV:0
Jordan Staal	AGE:32	PO:28	OV:0
Shawn Matthias	AGE:33	PO:27	OV:0
Maxime Macenauer	AGE:32	PO:23	OV:0
Torrey Mitchell	AGE:36	PO:6	OV:0

Jake Virtanen	AGE:24	PO:76	OV:0
Nikita Gusev	AGE:28	PO:65	OV:0
Josh Anderson	AGE:27	PO:63	OV:0
Valentin Zykov	AGE:26	PO:63	OV:0
Kole Sherwood (R)	AGE:24	PO:62	OV:0
Sam Bennett	AGE:25	PO:60	OV:0
Devin Shore	AGE:26	PO:59	OV:0
Tomas Jurco	AGE:28	PO:55	OV:0
Nail Yakupov	AGE:27	PO:54	OV:0
Mike Hoffman	AGE:31	PO:54	OV:0
Jordan Eberle	AGE:31	PO:53	OV:0
Pontus Aberg	AGE:27	PO:53	OV:0
Dominic Tonatino	AGE:27	PO:49	OV:0
Nicolas Deslauriers	AGE:30	PO:29	OV:0
Zack Kassian	AGE:30	PO:24	OV:0
Ryan Reaves	AGE:34	PO:9	OV:0
Torrey Mitchell	AGE:36	PO:6	OV:0

Défense #1

Défense #2

Gardien

Jeremy Lauzon	AGE:24	PO:71	OV:0
Erik Cernak	AGE:24	PO:70	OV:0
Tarmo Reunanen (R)	AGE:23	PO:67	OV:0
Sebastian Aho (D) (R)	AGE:25	PO:65	OV:0
Dougie Hamilton	AGE:28	PO:64	OV:0
Christian Jaros (R)	AGE:25	PO:61	OV:0
Adam Pelech	AGE:26	PO:59	OV:0

Victor Hedman	AGE:30	PO:58	OV:0
Nikita Nesterov	AGE:27	PO:52	OV:0
Justin Holl	AGE:29	PO:52	OV:0
Andrej Sustr	AGE:30	PO:47	OV:0
Erik Gustafsson	AGE:29	PO:45	OV:0
David Rundblad	AGE:30	PO:43	OV:0

Vitek Vanecek	AGE:25	PO:70	OV:0
Jon Gillies	AGE:27	PO:63	OV:0
Tuukka Rask	AGE:34	PO:40	OV:0
Corey Crawford	AGE:36	PO:15	OV:0

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
Alex Turcotte	Minnesota	18	9
Antoine Morand	Minnesota	16	74
Austin Poganski	Minnesota	13	93
Benjamin Gaudreau	Minnesota	20	79
Curtis Douglas	Minnesota	17	134
Emil Martinsen Lilleberg	Minnesota	20	151
Filip Berglund	Minnesota	15	133
Gabriel Gagne	Minnesota	14	47
Joni Ikonen	Minnesota	16	81
Justin Barron	Minnesota	19	24
Lucas Johansen	Minnesota	15	37
Maxim Letunov	Minnesota	13	35
Michael Spacek	Minnesota	14	103
Oliver Wahlstrom	Minnesota	17	16
Ryan McLeod	Minnesota	17	50

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
21
22
23
24
25

Minnesota Historique de transactions

[2023-03-15 04:46:26] - Maxime Macenauer signed with Minnesota for 500 000 $ for 1 year(s).
[2023-03-15 04:46:26] - Maxime Macenauer was added to Minnesota.
[2023-03-15 04:46:13] - Ryan Reaves signed with Minnesota for 500 000 $ for 1 year(s).
[2023-03-15 04:46:13] - Ryan Reaves was added to Minnesota.
[2023-03-15 04:45:59] - Zack Kassian signed with Minnesota for 500 000 $ for 1 year(s).
[2023-03-15 04:45:59] - Zack Kassian was added to Minnesota.
[2023-03-07 03:22:00] - General Manager Change : Minnesota fired general manager Simon St-Cyr
[2023-03-06 20:39:42] - New Record for Team's Most Shots (55) in 1 Game for Minnesota!
[2023-02-15 08:32:47] - TRADE : From Minnesota to Arizona : Noah Hanifin.
[2023-02-15 08:32:47] - TRADE : From Arizona to Minnesota : Dougie Hamilton, Justin Barron (P), Y:21-RND:3-ARI.
[2022-12-31 06:13:08] - TRADE : From Minnesota to Buffalo : Logan Couture.
[2022-12-31 06:13:08] - TRADE : From Buffalo to Minnesota : Sam Bennett, Y:21-RND:3-BUF.
[2022-12-31 06:12:07] - TRADE : From Minnesota to Arizona : Danton Heinen, Y:22-RND:4-MIN.
[2022-12-31 06:12:07] - TRADE : From Arizona to Minnesota : Mathew Barzal.
[2022-12-08 21:16:39] - TRADE : From Minnesota to Edmonton : Y:21-RND:7-MIN.
[2022-12-08 21:16:39] - TRADE : From Edmonton to Minnesota : Jon Gillies.
[2022-12-03 09:29:31] - TRADE : From Minnesota to Floride : Connor Brown.
[2022-11-16 01:10:19] - Riku Helenius was released.
[2022-11-16 01:10:19] - Minnesota paid 0 $ to release Riku Helenius.
[2022-11-16 01:10:08] - Antti Raanta was released.
[2022-11-16 01:10:08] - Minnesota paid 0 $ to release Antti Raanta.
[2022-11-13 16:51:38] - TRADE : From Minnesota to Chicago : Niklas Hjalmarsson, Y:22-RND:3-MIN.
[2022-11-13 16:51:38] - TRADE : From Chicago to Minnesota : Y:21-RND:7-CHI.
[2022-11-12 18:58:01] - TRADE : From Minnesota to Floride : Y:22-RND:7-MIN.
[2022-11-12 18:58:01] - TRADE : From Floride to Minnesota : Jordan Eberle, Y:21-RND:5-FLO.
[2022-11-12 18:37:34] - Nicolas Deslauriers signed with Minnesota for 1 300 000 $ for 3 year(s).
[2022-11-12 18:37:34] - Nicolas Deslauriers was added to Minnesota.
[2022-11-12 18:37:08] - Dominic Tonatino signed with Minnesota for 975 000 $ for 3 year(s).
[2022-11-12 18:37:08] - Dominic Tonatino was added to Minnesota.
[2022-11-12 18:36:35] - Jordan Staal signed with Minnesota for 3 500 000 $ for 3 year(s) / Option : 1 Way Contract .
[2022-11-12 18:36:35] - Jordan Staal was added to Minnesota.
[2022-11-10 21:04:15] - Corey Crawford signed with Minnesota for 1 100 000 $ for 3 year(s).
[2022-11-10 21:04:15] - Corey Crawford was added to Minnesota.
[2022-11-10 21:03:29] - Tuukka Rask signed with Minnesota for 3 000 000 $ for 3 year(s) / Option : 1 Way Contract .
[2022-11-10 21:03:29] - Tuukka Rask was added to Minnesota.
[2022-11-09 22:42:23] - TRADE : From Minnesota to Anaheim : Andrej Meszaros, Alex Killorn.
[2022-11-09 22:42:23] - TRADE : From Anaheim to Minnesota : Devin Shore, Erik Cernak, Y:21-RND:2-BOS.

[2023-07-12 19:26:06] Minnesota lines for next game are empty. Current rosters/lines are not erased.
[2023-07-07 21:07:44] Minnesota lines for next game are empty. Current rosters/lines are not erased. But, Iowa lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[2023-07-05 20:56:05] Jon Gillies from Iowa is back from Exhaustion.
[2023-07-03 22:08:30] Minnesota lines for next game are empty. Current rosters/lines are not erased.
[2023-07-03 22:07:23] Auto Lines Farm Function has been run for Iowa.
[2023-07-01 05:51:03] Minnesota lines for next game are empty. Current rosters/lines are not erased. But, Iowa lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[2023-07-01 05:51:03] Jon Gillies from Iowa injured (Exhaustion)
[2023-06-28 20:53:06] Minnesota lines for next game are empty. Current rosters/lines are not erased. But, Iowa lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[2023-06-28 20:53:05] Justin Holl from Iowa completes suspension
[2023-06-23 23:16:39] Erik Cernak from Minnesota is back from Bruised Right Shoulder Injury.
[2023-06-23 23:16:39] Minnesota lines for next game are empty. Current rosters/lines are not erased.
[2023-06-23 23:16:39] Game 921 - Erik Cernak from Minnesota is injured (Bruised Right Shoulder) and is out for 2 days.
[2023-06-23 23:12:17] Zack Kassian from Iowa completes suspension
[2023-06-23 23:12:17] Game 917 - Justin Holl from Iowa suspended for 1 game(s)
[2023-06-19 20:01:22] Minnesota lines for next game are empty. Current rosters/lines are not erased.
[2023-06-14 21:44:47] Minnesota lines for next game are empty. Current rosters/lines are not erased. But, Iowa lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[2023-06-12 20:17:03] Minnesota lines for next game are empty. Current rosters/lines are not erased.
[2023-06-09 19:45:47] Minnesota lines for next game are empty. Current rosters/lines are not erased. But, Iowa lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[2023-06-09 19:45:46] Game 868 - Zack Kassian from Iowa suspended for 5 game(s)
[2023-06-07 21:11:00] Minnesota lines for next game are empty. Current rosters/lines are not erased. But, Iowa lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[2023-06-05 22:07:12] Vitek Vanecek from Iowa is back from Exhaustion.
[2023-06-05 21:57:47] Vitek Vanecek from Iowa injured (Exhaustion)

Pas de blessure ou de suspension.

Minnesota 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
1	Aleksander Barkov	164	72	106	178	32	68	246	332	764	9.42%	18	3481	21.23	10	36	46	118	2	2	4	8	18	2	52.22	0	1.02	0	18
2	Kirill Kaprizov	162	70	84	154	30	60	208	188	622	11.25%	18	3225	19.91	18	16	34	106	0	0	0	2	14	6	48.36	2	0.95	4	8
3	Johnny Gaudreau	172	60	56	116	-12	32	106	238	546	10.99%	14	3613	21.01	14	24	38	108	2	0	2	8	8	0	41.12	2	0.64	6	18
4	Adam Fox	164	20	94	114	-16	172	284	206	210	9.52%	220	3687	22.48	10	28	38	126	0	0	0	2	4	2	0.00%	0	0.62	0	0
5	Matt Dumba	164	14	90	104	-2	110	158	112	210	6.67%	196	2978	18.16	4	18	22	82	0	2	2	0	0	2	0.00%	0	0.70	0	2

Minnesota 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	A	EG	PS %	PSA
1	Kari Lehtonen	94	60	16	10	0.917	2.49	5342	16	2	222	2676	2	0	0.750	24
2	Mike Smith	38	22	12	4	0.896	2.77	2341	8	0	108	1034	2	0	0.769	26
3	Calvin Petersen	44	14	24	2	0.880	3.64	2274	0	0	138	1154	6	4	0.600	10

Minnesota 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
Saison régulière
20	82	41	26	0	4	2	3	6	263	242	21	41	17	17	0	4	1	1	1	128	130	-2	41	24	9	0	0	1	2	5	135	112	23	104	263	459	722	2	1	91	86	79	11	2658	878	876	874	63	2434	715	594	1283	274	58	21.17%	238	33	86.13%	2	1585	3068	51.66%	1460	2866	50.94%	627	1303	48.12%	2028	1434	1920	591	1035	516
20	82	41	26	0	4	2	3	6	263	242	21	41	17	17	0	4	1	1	1	128	130	-2	41	24	9	0	0	1	2	5	135	112	23	104	263	459	722	2	1	91	86	79	11	2658	878	876	874	63	2434	715	594	1283	274	58	21.17%	238	33	86.13%	2	1585	3068	51.66%	1460	2866	50.94%	627	1303	48.12%	2028	1434	1920	591	1035	516
Total Saison régulière	164	50	78	0	4	6	14	12	442	542	-100	82	20	44	0	2	2	6	8	220	286	-66	82	30	34	0	2	4	8	4	222	256	-34	154	442	788	1230	6	8	160	136	128	26	4986	1646	1608	1666	160	5432	1628	1644	2954	576	124	21.53%	656	138	78.96%	10	2804	5972	46.95%	2892	6202	46.63%	1254	2554	49.10%	3856	2660	4041	1212	2084	1022
Séries éliminatoires
Total Séries éliminatoires											0											0	0	0	0	0	0	0	0	0	0	0	0																						0.00%			0.00%				0.00%			0.00%			0.00%	0	0	0	0	0	0

Minnesota 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 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
	GP: 82 \| W: 34 \| L: 39 \| OTL: 9 \| P: 77 GF: 221 \| GA: 271 \| PP%: 21.53% \| PK%: 78.96% DG: \| Morale : 50 \| Moyenne d’équipe : N/A