Coachella Valley
Domicile
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 23-51-8, 54pts	3	FINAL	4	Seattle 43-30-9, 95pts

Team Stats
L1	Séquence	L1
12-26-3	Fiche domicile	22-15-4
11-25-5	Fiche visiteur	21-15-5
3-6-1	Derniers 10 matchs	4-5-1
2.85	Buts par match	3.18
3.78	Buts contre par match	3.34
17.07%	Pourcentage en avantage numérique	21.93%
75.71%	Pourcentage en désavantage numérique	81.42%

Seattle
43-30-9, 95pts

FINAL

St. Louis
41-33-8, 90pts

Team Stats
L1	Séquence	W6
22-15-4	Fiche domicile	22-16-3
21-15-5	Fiche visiteur	19-17-5
4-5-1	Derniers 10 matchs	8-2-0
3.18	Buts par match	3.29
3.34	Buts contre par match	3.09
21.93%	Pourcentage en avantage numérique	21.63%
81.42%	Pourcentage en désavantage numérique	78.64%

Meneurs d'équipe
	Buts Jack Hughes 36	Passes Jack Hughes 59

	Points Jack Hughes 95	Plus/Moins Artturi Lehkonen 14

	Victoires Philipp Grubauer 27	Pourcentage d’arrêts Philipp Grubauer 0.914

Statistiques d’équipe
Buts pour 261 3.18 GFG	Tirs pour 3014 36.76 Avg	Pourcentage en avantage numérique 21.9% 66 GF	Début de zone offensive 41.4%
Buts contre 274 3.34 GAA	Tirs contre 2904 35.41 Avg	Pourcentage en désavantage numérique 81.4%% 55 GA	Début de la zone défensive 41.4%

Informations de l'équipe
	Directeur général
	Entraîneur	Guy Boucher
	Division	Pacifique
	Conférence	Conference Ouest
	Capitaine	Pierre-Luc Dubois
	Assistant #1	Ryan McDonagh
	Assistant #2	Oscar Klefbom
Informations de l’aréna
	Nom	Climate Pledge Arena
	Capacité	21,278
	Assistance	20,151
	Billets de saison	8,511
Informations de la formation
	Équipe Pro	21
	Équipe Mineure	22
	Limite contact	43 / 50
	Espoirs	19
Plafond salarial
	Cap Salarial de la Saison estimé	64,829,368$
	Plafond salarial disponible	170,632$
	Valeur du plafond salarial spécial	1,875,000$
	Joueurs Inclus dans le plafond salarial	22
Finance
	Revenu annuel à ce jour	67,518,623$
	Dépenses annuelles à ce jour	70,121,431$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	8,125,477$
	Compte bancaire projeté	8,111,357$
Historique d'équipe
	Saison actuelle	43-30-9 (95PTS)
	Historique	131-85-27 (0.539%)
	Apparitions en séries éliminatoires	1
	Historique en séries éliminatoires (W-L)	3-4
	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	Jack Hughes	X	X			100.00	73	29	99	99	80	97	91	92	74	86	85	69	86	34	30	89	50	0	0	21	1	900,000$
2	Jonathan Toews	X				100.00	94	46	53	68	77	72	87	80	99	81	75	78	85	84	91	25	50	0	0	34	1	4,445,000$
3	David Pastrnak			X		100.00	74	33	97	99	80	93	94	86	82	78	81	57	86	50	43	79	50	0	0	26	3	4,800,000$
4	Pierre-Luc Dubois (C)	X	X			100.00	88	36	93	99	99	96	99	83	85	82	84	61	79	45	36	77	50	0	0	24	1	6,800,000$
5	Lars Eller	X	X			100.00	77	31	93	73	80	75	93	74	71	70	74	72	83	65	59	28	50	0	0	33	2	644,000$
6	Brock Nelson	X	X			100.00	91	39	81	76	88	91	95	75	84	75	77	64	79	66	61	51	50	0	0	30	2	4,300,000$
7	Jeff Carter	X	X	X		100.00	81	34	88	48	74	76	97	77	75	74	76	81	80	99	82	22	50	0	0	38	1	2,400,000$
8	Travis Konecny		X	X		100.00	86	41	80	99	79	89	91	83	78	78	79	58	88	47	45	65	50	0	0	25	4	4,100,000$
9	Alex Galchenyuk	X	X	X		100.00	92	34	83	89	83	91	99	84	91	83	79	61	91	61	59	60	50	0	0	28	1	4,000,000$
10	Max Pacioretty		X			100.00	92	38	75	79	85	85	87	79	70	75	81	70	80	69	69	46	50	0	0	33	2	5,000,000$
11	Conor Sheary		X	X		100.00	77	30	93	77	76	82	99	69	70	70	71	77	77	67	67	40	50	0	0	30	3	2,151,000$
12	Artturi Lehkonen		X	X		100.00	78	33	95	85	84	83	93	74	77	70	77	74	88	52	46	62	50	0	0	26	1	1,600,000$
13	Ryan McDonagh (A)				X	100.00	74	47	64	72	78	91	95	68	50	67	67	95	49	70	87	47	50	0	0	33	3	5,500,000$
14	Brian Dumoulin				X	100.00	72	38	73	71	87	85	95	52	50	54	47	89	75	64	57	49	50	0	0	30	3	1,450,000$
15	Oscar Klefbom (A)				X	100.00	63	36	95	83	95	88	97	72	50	73	69	85	76	57	45	63	50	0	0	28	1	4,900,000$
16	Alexandre Carrier				X	100.00	79	27	81	85	77	92	85	59	51	62	50	95	77	49	45	68	50	0	0	25	1	600,000$
17	Colton Parayko				X	100.00	85	40	60	85	96	91	98	79	50	73	67	88	75	63	54	64	50	0	0	29	4	6,000,000$
18	Philippe Myers				X	100.00	77	34	78	85	98	87	86	53	52	51	51	92	77	47	43	71	50	0	0	25	3	1,400,000$
19	Evan Bouchard				X	100.00	83	27	88	86	87	91	99	66	72	66	64	91	77	40	37	86	50	0	0	22	2	900,000$
Rayé
Équipe Mineure
1	Daniel Sprong		X	X		100.00	73	32	97	87	83	77	85	77	72	73	77	63	92	49	48	66	50	0	0	25	1	500,000$
2	Phillip Di Giuseppe		X	X		100.00	80	29	78	76	87	75	91	76	72	71	73	62	78	54	51	49	50	0	0	28	1	950,000$
3	Magnus Paajarvi		X	X		100.00	67	33	96	78	78	79	91	67	54	65	69	64	74	61	50	33	50	0	0	31	1	750,000$
4	Chris VandeVelde	X	X	X		100.00	64	25	84	54	84	60	88	64	72	65	65	66	67	77	74	15	50	0	0	35	1	900,000$
5	Kurtis Macdermid		X	X		100.00	87	60	67	70	99	66	85	65	70	64	67	60	75	59	59	34	50	0	0	28	1	800,000$
6	Chris Wagner			X		100.00	87	30	76	72	77	75	84	68	70	66	70	70	75	70	68	29	50	0	0	31	1	800,000$
7	Freddie Hamilton	X	X	X		100.00	72	30	78	70	76	65	89	67	71	66	68	63	71	61	57	30	50	0	0	30	3	801,000$
8	Matt Martin		X	X		100.00	93	59	76	65	82	72	93	65	50	66	69	62	57	57	54	21	50	0	0	33	3	509,000$
9	Adam Lowry	X	X			100.00	69	29	88	77	92	83	92	72	79	73	70	64	84	53	48	36	50	0	0	29	4	1,000,000$
10	Lance Bouma	X	X	X		100.00	70	38	79	61	81	73	78	66	41	64	67	65	71	58	87	27	50	0	0	32	1	700,000$
11	Michael Bournival		X	X		100.00	64	38	88	78	73	75	80	69	64	69	71	65	72	56	51	37	50	0	0	30	3	1,000,000$
12	Mattias Janmark	X	X			100.00	57	31	97	82	87	88	88	76	67	72	72	63	76	53	47	51	50	0	0	29	1	850,000$
13	Frederik Gauthier	X		X		100.00	74	32	90	73	97	71	93	72	95	73	71	67	80	53	54	52	50	0	0	27	2	925,000$
14	Nicolas Aube-Kubel			X		100.00	80	26	93	81	82	75	85	68	73	67	70	63	83	53	50	62	50	0	0	26	1	550,000$
15	Mark Fraser				X	100.00	74	52	43	51	80	68	78	41	25	39	38	83	46	72	71	19	50	0	0	35	1	750,000$
16	Cameron Gaunce				X	100.00	78	45	51	65	90	74	89	47	50	45	48	87	70	71	68	22	50	0	0	32	1	650,000$
17	Jordie Benn				X	100.00	59	30	85	54	77	76	88	46	50	44	42	84	79	70	64	24	50	0	0	34	3	750,000$
18	Brett Bellemore				X	100.00	67	36	73	56	88	75	93	51	50	48	54	86	59	69	58	28	50	0	0	34	3	509,000$
19	Ian White				X	100.00	58	32	91	39	66	67	87	56	33	48	49	86	73	98	86	12	50	0	0	38	1	1,100,000$
20	Connor Carrick				X	100.00	69	35	78	81	83	86	91	55	53	52	52	84	77	51	47	57	50	0	0	28	3	801,000$

	MOYENNE D’ÉQUIPE					100.00	81	35	83	82	84	87	94	74	70	72	71	77	79	59	56	57	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	Philipp Grubauer	100.00	70	77	78	75	74	88	89	90	90	82	77	69	68	58	50	0	0	30	3	3,400,000$
2	Braden Holtby	100.00	61	86	85	81	73	89	89	89	89	81	83	79	77	40	50	0	0	32	2	3,000,000$
Rayé
Équipe Mineure
1	Eddie Lack	100.00	69	87	75	78	74	83	81	80	80	77	75	65	65	39	50	0	0	34	1	800,000$
2	Kevin Poulin	100.00	65	84	84	78	75	84	86	83	85	79	76	64	64	42	50	0	0	32	3	500,000$

	MOYENNE D’ÉQUIPE	100.00	66	82	82	78	74	89	89	90	90	82	80	74	73	49	50	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Guy Boucher	92	81	75	93	80	91	74	CAN	51	3	3,000,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Jack Hughes	Seattle	C/LW	82	36	59	95	-6	14	0	42	174	350	91	251	10.29%	15	1685	20.56	13	14	27	88	276	0	0	0	1	51	8	4	40.86%	2068	0	1	1.13	4	7	0	0	0	6	8	4
2	Pierre-Luc Dubois	Seattle	C/LW	82	26	39	65	-9	49	5	167	122	287	92	222	9.06%	4	1655	20.19	7	17	24	59	274	0	0	0	0	15	4	1	52.99%	685	0	1	0.79	1	6	0	0	1	4	4	8
3	Alex Galchenyuk	Seattle	C/LW/RW	82	24	36	60	-26	43	5	101	106	278	75	183	8.63%	10	1514	18.47	7	14	21	49	230	0	0	0	0	6	4	2	52.44%	902	0	1	0.79	3	7	1	0	0	4	3	3
4	Colton Parayko	Seattle	D	82	15	43	58	-28	128	10	188	94	194	50	116	7.73%	103	1838	22.42	7	12	19	97	253	0	0	0	1	87	2	0	0%	0	0	0	0.63	0	0	1	0	1	2	2	1
5	Oscar Klefbom	Seattle	D	82	16	41	57	-12	16	0	22	84	161	53	94	9.94%	109	1741	21.24	8	8	16	78	240	0	0	0	0	57	6	0	0%	0	0	0	0.65	0	0	0	0	0	1	4	3
6	Jonathan Toews	Seattle	C	79	22	34	56	2	110	10	245	175	186	42	138	11.83%	15	1433	18.15	5	12	17	35	177	0	0	0	2	97	3	1	55.62%	2012	0	0	0.78	1	1	0	0	2	4	2	2
7	David Pastrnak	Seattle	RW	82	25	28	53	-13	20	0	38	67	234	65	168	10.68%	4	1594	19.44	1	11	12	34	260	0	0	0	0	1	4	2	50.77%	130	0	0	0.66	2	3	0	0	0	2	1	4
8	Evan Bouchard	Seattle	D	81	13	37	50	-3	50	0	105	78	150	61	118	8.67%	132	1901	23.48	6	13	19	70	243	1	2	3	2	242	2	1	0%	0	0	0	0.53	0	0	0	0	0	1	3	2
9	Travis Konecny	Seattle	LW/RW	82	16	31	47	-7	32	10	94	118	273	70	202	5.86%	7	1452	17.71	4	8	12	58	221	0	0	0	0	0	0	1	45.71%	245	0	0	0.65	1	2	0	0	2	5	2	0
10	Max Pacioretty	Seattle	LW	76	21	24	45	-10	44	0	143	64	222	75	136	9.46%	10	1199	15.78	10	5	15	46	211	0	0	0	0	0	2	2	44.44%	90	0	1	0.75	0	0	0	0	0	4	1	2
11	Ryan McDonagh	Seattle	D	75	13	27	40	-14	96	30	95	68	132	34	85	9.85%	119	1675	22.34	6	9	15	51	188	0	2	2	1	211	2	1	0%	0	1	0	0.48	0	0	3	0	3	1	4	1
12	Artturi Lehkonen	Seattle	LW/RW	82	20	17	37	14	13	5	26	73	190	51	106	10.53%	11	1331	16.23	0	0	0	0	1	3	1	4	13	304	5	2	42.73%	110	0	0	0.56	0	0	1	0	0	2	0	4
13	Jeff Carter	Seattle	C/LW/RW	82	10	19	29	11	21	5	56	145	126	38	78	7.94%	18	1315	16.04	0	1	1	8	39	0	2	2	11	297	1	0	48.75%	2002	0	0	0.44	0	0	1	0	0	0	0	2
14	Philippe Myers	Seattle	D	82	4	21	25	6	55	5	66	42	65	23	33	6.15%	123	1263	15.41	0	0	0	1	1	0	1	1	1	197	0	0	0%	0	0	0	0.40	0	0	0	0	1	0	0	0
15	Conor Sheary	Seattle	LW/RW	82	8	9	17	-2	16	0	34	46	106	28	78	7.55%	9	869	10.60	0	0	0	0	0	0	0	0	6	167	1	0	44.23%	104	0	0	0.39	0	0	0	0	0	0	2	2
16	Alexandre Carrier	Seattle	D	72	5	11	16	5	32	0	71	64	61	15	35	8.20%	84	1166	16.20	1	1	2	6	27	1	0	1	1	174	0	0	0%	0	0	0	0.27	0	0	0	0	0	0	2	0
17	Lars Eller	Seattle	C/LW	82	2	5	7	-7	10	0	18	53	70	19	39	2.86%	8	527	6.43	0	0	0	1	6	0	0	0	4	107	0	0	45.47%	651	0	0	0.27	0	0	0	0	0	0	0	0
18	Nicolas Aube-Kubel	Coachella Valley (SEA)	RW	63	2	3	5	-9	14	0	20	9	36	13	25	5.56%	2	289	4.59	0	0	0	0	0	0	0	0	0	0	0	0	33.33%	27	0	0	0.35	0	0	0	0	0	0	0	0
19	Adam Lowry	Coachella Valley (SEA)	C/LW	41	1	3	4	-9	2	0	11	9	21	9	18	4.76%	1	220	5.37	0	0	0	0	0	0	0	0	0	0	0	0	47.83%	69	0	0	0.36	0	0	0	0	0	0	0	0
20	Brock Nelson	Seattle	C/LW	25	1	2	3	-4	16	0	37	11	44	10	28	2.27%	0	271	10.84	0	1	1	13	49	0	0	0	0	0	0	0	49.72%	181	0	0	0.22	0	0	0	0	0	0	0	0
21	Daniel Sprong	Coachella Valley (SEA)	LW/RW	17	1	1	2	-3	2	0	3	8	14	7	14	7.14%	1	97	5.72	0	0	0	0	0	0	0	0	0	2	0	0	37.50%	8	0	0	0.41	0	0	0	0	0	0	0	1
22	Frederik Gauthier	Coachella Valley (SEA)	C/RW	5	0	1	1	-3	2	0	0	0	1	1	3	0%	0	33	6.66	0	0	0	0	0	0	0	0	0	0	0	0	0%	1	0	0	0.60	0	0	0	0	0	0	0	0
23	Cameron Gaunce	Coachella Valley (SEA)	D	4	0	0	0	-1	0	0	8	3	2	0	0	0%	1	74	18.64	0	0	0	0	0	0	0	0	0	11	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0
24	Brian Dumoulin	Seattle	D	3	0	0	0	-1	5	5	1	1	2	1	0	0%	2	36	12.17	0	0	0	0	0	0	0	0	0	7	0	0	0%	0	0	0	0	0	0	0	1	0	0	0	0
25	Chris Wagner	Coachella Valley (SEA)	RW	3	0	0	0	-1	0	0	1	0	0	0	0	0%	0	5	1.78	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0
26	Brett Bellemore	Coachella Valley (SEA)	D	12	0	0	0	1	2	0	3	5	6	2	4	0%	11	119	9.99	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1540	281	491	772	-129	792	90	1595	1619	3211	925	2174	8.75%	799	25312	16.44	75	126	201	694	2706	5	8	13	43	2043	44	17	48.66%	9285	1	4	0.61	12	26	7	1	10	36	38	39

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	Philipp Grubauer	Seattle	49	27	14	5	0.914	2.89	2846	6	3	137	1602	4	4	0.583	12	47	35	7	6	1
2	Braden Holtby	Seattle	37	16	16	4	0.901	3.63	2118	6	0	128	1296	1	2	0.700	10	35	47	2	2	1
Statistiques d’équipe totales ou en moyenne			86	43	30	9	0.909	3.20	4964	12	3	265	2898	5	6		22	82	82	9	8	2

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	Recrue	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	Lien
Alex Galchenyuk (contrat à 1 volet)	Seattle	C/LW/RW	28	1994-02-12	No	215 Lbs	6 ft1	No	No	Yes	Yes	1	Pro & Farm	4,000,000$	4,000,000$	0$	No				Lien
Alexandre Carrier	Seattle	D	25	1996-10-08 09:02:10	No	174 Lbs	5 ft11	No	No	No	No	1	Pro & Farm	600,000$	600,000$	0$	No				Lien
Artturi Lehkonen (contrat à 1 volet)	Seattle	LW/RW	26	1995-07-04	No	180 Lbs	6 ft0	No	No	Yes	Yes	1	Pro & Farm	1,600,000$	1,600,000$	0$	No				Lien
Braden Holtby (contrat à 1 volet)	Seattle	G	32	1989-09-16 12:05:22	No	218 Lbs	6 ft2	No	No	Yes	Yes	2	Pro & Farm	3,000,000$	3,000,000$	0$	No	3,000,000$			Lien
Brian Dumoulin (contrat à 1 volet)	Seattle	D	30	1991-09-06	No	209 Lbs	6 ft4	No	No	Yes	Yes	3	Pro & Farm	1,450,000$	1,450,000$	0$	No	1,450,000$	1,450,000$		Lien
Brock Nelson (contrat à 1 volet)	Seattle	C/LW	30	1991-10-15	No	210 Lbs	6 ft3	No	No	Yes	Yes	2	Pro & Farm	4,300,000$	4,300,000$	0$	No	4,300,000$			Lien
Colton Parayko (contrat à 1 volet)	Seattle	D	29	1993-05-12	No	233 Lbs	6 ft6	No	No	Yes	Yes	4	Pro & Farm	6,000,000$	6,000,000$	0$	No	6,000,000$	6,000,000$	6,000,000$	Lien
Conor Sheary (contrat à 1 volet)	Seattle	LW/RW	30	1992-06-08	No	179 Lbs	5 ft9	No	No	No	Yes	3	Pro & Farm	2,151,000$	2,151,000$	0$	No	2,151,000$	2,151,000$		Lien
David Pastrnak (contrat à 1 volet)	Seattle	RW	26	1996-05-25	No	189 Lbs	6 ft0	No	No	Yes	Yes	3	Pro & Farm	4,800,000$	4,800,000$	0$	No	4,800,000$	4,800,000$		Lien
Evan Bouchard	Seattle	D	22	1999-10-20 16:19:47	No	194 Lbs	6 ft3	No	No	No	No	2	Pro & Farm	900,000$	900,000$	0$	No	900,000$
Jack Hughes	Seattle	C/LW	21	2001-05-14	No	179 Lbs	6 ft1	No	No	No	No	1	Pro & Farm	900,000$	900,000$	0$	No				Lien
Jeff Carter (contrat à 1 volet)	Seattle	C/LW/RW	38	1984-01-10	No	210 Lbs	6 ft3	No	No	Yes	Yes	1	Pro & Farm	2,400,000$	2,400,000$	0$	No
Jonathan Toews (contrat à 1 volet)	Seattle	C	34	1988-04-29	No	219 Lbs	6 ft1	No	No	Yes	Yes	1	Pro & Farm	4,445,000$	4,445,000$	0$	No
Lars Eller (contrat à 1 volet)	Seattle	C/LW	33	1989-05-08	No	216 Lbs	6 ft2	No	No	Yes	Yes	2	Pro & Farm	644,000$	644,000$	0$	No	644,000$			Lien
Max Pacioretty (contrat à 1 volet)	Seattle	LW	33	1988-11-20	No	222 Lbs	6 ft2	No	No	Yes	Yes	2	Pro & Farm	5,000,000$	5,000,000$	0$	No	5,000,000$			Lien
Oscar Klefbom (contrat à 1 volet)	Seattle	D	28	1993-07-20	No	227 Lbs	6 ft3	No	No	Yes	Yes	1	Pro & Farm	4,900,000$	4,900,000$	0$	No				Lien
Philipp Grubauer (contrat à 1 volet)	Seattle	G	30	1991-11-25 08:32:14	No	189 Lbs	6 ft1	No	No	Yes	Yes	3	Pro & Farm	3,400,000$	3,400,000$	0$	No	3,400,000$	3,400,000$		Lien
Philippe Myers (contrat à 1 volet)	Seattle	D	25	1997-01-25	No	213 Lbs	6 ft5	No	No	Yes	Yes	3	Pro & Farm	1,400,000$	1,400,000$	0$	No	1,400,000$	1,400,000$		Lien
Pierre-Luc Dubois (contrat à 1 volet)	Seattle	C/LW	24	1998-06-24	No	214 Lbs	6 ft3	No	No	Yes	Yes	1	Pro & Farm	6,800,000$	6,800,000$	0$	No				Lien
Ryan McDonagh (contrat à 1 volet)	Seattle	D	33	1989-01-01	No	225 Lbs	6 ft1	No	No	Yes	Yes	3	Pro & Farm	5,500,000$	5,500,000$	0$	No	5,500,000$	5,500,000$		Lien
Travis Konecny (contrat à 1 volet)	Seattle	LW/RW	25	1997-03-11	No	183 Lbs	5 ft10	No	No	Yes	Yes	4	Pro & Farm	4,100,000$	4,100,000$	0$	No	4,100,000$	4,100,000$	4,100,000$	Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	28.67	205 Lbs	6 ft2	2.10	3,251,905$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
68,290,000$	42,645,000$	28,801,000$	10,100,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Pierre-Luc Dubois	Jack Hughes	David Pastrnak	33	0	1	4
2	Alex Galchenyuk	Jonathan Toews	Travis Konecny	33	0	1	4
3	Max Pacioretty	Jeff Carter	Artturi Lehkonen	26	1	2	2
4	Conor Sheary	Lars Eller	Brock Nelson	8	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Evan Bouchard	Colton Parayko	35	1	2	2
2	Ryan McDonagh	Oscar Klefbom	35	1	2	2
3	Alexandre Carrier	Philippe Myers	25	1	3	1
4	Brian Dumoulin	Alexandre Carrier	5	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Pierre-Luc Dubois	Jack Hughes	David Pastrnak	60	0	0	5
2	Max Pacioretty	Alex Galchenyuk	Travis Konecny	40	0	0	5

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Oscar Klefbom	Evan Bouchard	60	0	1	4
2	Colton Parayko	Ryan McDonagh	40	0	1	4

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Jeff Carter	Artturi Lehkonen	60	0	5	0
2	Lars Eller	Conor Sheary	40	0	5	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Philippe Myers	Alexandre Carrier	70	0	5	0
2	Evan Bouchard	Ryan McDonagh	30	0	5	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Jeff Carter	60	1	3	1	Ryan McDonagh	Philippe Myers	65	1	3	1
2	Jonathan Toews	40	1	3	1	Evan Bouchard	Alexandre Carrier	35	1	3	1

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Pierre-Luc Dubois	Jack Hughes	50	0	1	4
2	Alex Galchenyuk	David Pastrnak	50	0	1	4

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Oscar Klefbom	Colton Parayko	60	1	2	2
2	Alexandre Carrier	Ryan McDonagh	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jack Hughes	Pierre-Luc Dubois	David Pastrnak	Oscar Klefbom	Colton Parayko

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jeff Carter	Lars Eller	Artturi Lehkonen	Alexandre Carrier	Philippe Myers

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Pierre-Luc Dubois, David Pastrnak, Alex Galchenyuk	Alex Galchenyuk, David Pastrnak	Conor Sheary

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Colton Parayko, Ryan McDonagh, Oscar Klefbom	Ryan McDonagh	Ryan McDonagh, Colton Parayko

Tirs de pénalité
Pierre-Luc Dubois, Alex Galchenyuk, Jack Hughes, David Pastrnak, Travis Konecny

Gardien
#1 : Philipp Grubauer, #2 : Braden Holtby, #3 : 0

Lignes d’attaque personnalisées en prolongation
Jack Hughes, Pierre-Luc Dubois, Alex Galchenyuk, David Pastrnak, Lars Eller, Travis Konecny, Travis Konecny, Jeff Carter, Brock Nelson, Artturi Lehkonen, Conor Sheary

Lignes de défense personnalisées en prolongation
Colton Parayko, Oscar Klefbom, Alexandre Carrier, Philippe Myers, Ryan McDonagh

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	6	2	1	0	1	0	1	1	22	20	2	3	1	0	0	1	0	0	1	13	9	4	3	1	1	0	0	0	1	0	9	11	-2	9	0.750	22	40	62	0	0	10	5	5	3	196	81	55	54	12	278	82	55	117	16	5	31.25%	24	2	91.67%	2	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	134	92	160	47	78	38
2	Boston	2	1	0	0	0	1	0	0	5	5	0	1	0	0	0	0	1	0	0	3	4	-1	1	1	0	0	0	0	0	0	2	1	1	3	0.750	5	8	13	0	0	2	1	2	0	66	26	17	22	1	55	13	10	28	10	0	0.00%	5	0	100.00%	0	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	49	34	44	15	26	13
3	Buffalo	2	2	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	4	2	2	4	1.000	7	13	20	0	0	4	2	1	0	104	35	28	41	0	66	24	19	38	7	2	28.57%	7	0	100.00%	0	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	55	41	42	13	22	11
4	Chicago	4	3	1	0	0	0	0	0	14	8	6	2	1	1	0	0	0	0	0	6	5	1	2	2	0	0	0	0	0	0	8	3	5	6	0.750	14	27	41	1	0	4	6	4	0	163	59	40	64	0	125	30	33	78	17	4	23.53%	13	1	92.31%	1	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	95	66	94	28	49	24
5	Colorado	4	2	2	0	0	0	0	0	13	9	4	2	1	1	0	0	0	0	0	5	6	-1	2	1	1	0	0	0	0	0	8	3	5	4	0.500	13	21	34	0	1	6	3	4	0	150	52	38	60	0	145	37	25	46	12	2	16.67%	10	1	90.00%	0	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	95	66	94	27	50	25
6	Columbus	4	2	2	0	0	0	0	0	8	12	-4	2	1	1	0	0	0	0	0	4	6	-2	2	1	1	0	0	0	0	0	4	6	-2	4	0.500	8	16	24	0	0	2	2	4	0	134	41	34	59	0	152	28	47	58	14	3	21.43%	20	2	90.00%	0	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	98	70	95	28	46	22
7	Dallas	4	2	2	0	0	0	0	0	13	11	2	2	1	1	0	0	0	0	0	6	6	0	2	1	1	0	0	0	0	0	7	5	2	4	0.500	13	25	38	0	0	2	6	5	0	144	45	50	49	0	144	31	42	69	19	4	21.05%	19	1	94.74%	1	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	93	62	97	28	49	24
8	Detroit	2	1	1	0	0	0	0	0	8	9	-1	1	1	0	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	2	5	-3	2	0.500	8	15	23	0	0	3	2	3	0	70	23	19	28	0	69	24	12	36	5	2	40.00%	6	1	83.33%	0	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	46	31	48	13	25	12
9	Edmonton	6	3	1	0	1	0	0	1	21	16	5	3	2	1	0	0	0	0	0	10	6	4	3	1	0	0	1	0	0	1	11	10	1	9	0.750	21	36	57	0	1	11	6	3	1	206	66	75	60	8	188	51	42	98	23	4	17.39%	16	4	75.00%	0	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	145	103	146	41	75	38
10	Floride	2	0	2	0	0	0	0	0	6	11	-5	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	6	12	18	0	0	1	2	3	0	55	13	22	20	0	81	19	16	22	6	2	33.33%	8	4	50.00%	0	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	46	32	47	14	25	12
11	LosAngeles	7	4	0	0	0	1	1	1	22	15	7	3	2	0	0	0	0	1	0	10	6	4	4	2	0	0	0	1	0	1	12	9	3	12	0.857	22	36	58	0	1	8	6	7	3	248	74	87	81	14	214	54	51	131	28	9	32.14%	20	2	90.00%	0	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	174	121	165	52	92	45
12	Minnesota	4	2	0	0	1	0	1	0	17	12	5	2	1	0	0	0	0	1	0	9	6	3	2	1	0	0	1	0	0	0	8	6	2	8	1.000	17	28	45	0	0	6	8	1	3	168	57	54	47	13	129	24	37	64	14	3	21.43%	16	4	75.00%	1	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	101	69	94	31	53	26
13	Montreal	2	0	0	0	1	0	1	0	9	7	2	1	0	0	0	0	0	1	0	4	3	1	1	0	0	0	1	0	0	0	5	4	1	4	1.000	9	15	24	0	0	2	3	2	4	65	18	16	22	13	80	25	16	41	7	3	42.86%	7	2	71.43%	0	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	50	35	50	15	25	12
14	NYIslanders	2	1	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	5	9	14	1	0	2	2	1	0	61	17	21	23	0	72	17	16	38	8	1	12.50%	8	2	75.00%	0	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	40	26	54	15	25	12
15	NYRangers	2	0	1	0	0	1	0	0	5	8	-3	1	0	0	0	0	1	0	0	4	5	-1	1	0	1	0	0	0	0	0	1	3	-2	1	0.250	5	8	13	0	0	1	2	2	0	61	19	17	25	0	80	26	17	36	6	2	33.33%	6	2	66.67%	0	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	45	30	49	13	26	13
16	Philadelphie	3	1	1	0	0	1	0	0	9	13	-4	2	1	1	0	0	0	0	0	6	9	-3	1	0	0	0	0	1	0	0	3	4	-1	3	0.500	9	16	25	0	0	3	3	3	0	120	41	36	37	6	125	26	37	44	11	2	18.18%	9	1	88.89%	0	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	65	45	80	22	39	18
17	Pittsburgh	2	2	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	3	2	1	4	1.000	9	15	24	0	0	6	2	1	0	75	22	34	19	0	60	24	18	24	10	3	30.00%	7	2	71.43%	0	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	49	35	45	15	24	12
18	San Jose	6	1	3	0	0	2	0	0	15	28	-13	3	0	2	0	0	1	0	0	10	22	-12	3	1	1	0	0	1	0	0	5	6	-1	4	0.333	15	27	42	1	0	7	4	4	0	249	86	81	77	5	189	59	38	96	20	1	5.00%	18	4	77.78%	0	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	148	105	141	42	76	38
19	St. Louis	4	2	2	0	0	0	0	0	15	17	-2	2	1	1	0	0	0	0	0	6	8	-2	2	1	1	0	0	0	0	0	9	9	0	4	0.500	15	25	40	0	0	4	7	4	0	147	53	45	49	0	130	45	49	69	17	3	17.65%	20	6	70.00%	0	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	95	65	93	28	51	26
20	Tampa Bay	2	0	2	0	0	0	0	0	6	9	-3	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	6	12	18	1	0	2	2	2	0	88	19	43	26	0	76	20	23	29	6	2	33.33%	9	3	66.67%	0	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	47	34	51	13	21	10
21	Vancouver	6	4	2	0	0	0	0	0	19	21	-2	3	2	1	0	0	0	0	0	10	11	-1	3	2	1	0	0	0	0	0	9	10	-1	8	0.667	19	35	54	0	0	8	5	6	0	207	54	70	83	0	225	67	57	111	18	4	22.22%	24	7	70.83%	0	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	135	92	149	43	75	36
22	Washington	2	0	2	0	0	0	0	0	6	11	-5	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	6	12	18	0	0	4	1	1	0	83	32	18	33	0	79	16	14	35	12	2	16.67%	6	2	66.67%	0	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	48	35	48	13	22	12
23	Winnipeg	4	0	4	0	0	0	0	0	7	17	-10	2	0	2	0	0	0	0	0	3	7	-4	2	0	2	0	0	0	0	0	4	10	-6	0	0.000	7	12	19	2	0	4	3	0	0	154	70	51	33	0	142	49	43	83	15	3	20.00%	18	2	88.89%	0	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	93	64	97	29	49	23
	Total	82	35	30	0	4	6	4	3	261	274	-13	41	18	15	0	1	3	3	1	134	143	-9	41	17	15	0	3	3	1	2	127	131	-4	95	0.579	261	463	724	6	3	102	83	68	14	3014	1003	951	1012	72	2904	791	717	1391	301	66	21.93%	296	55	81.42%	5	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	1953	1366	1993	598	1033	512
	_Since Last GM Reset	82	35	30	0	4	6	4	3	261	274	-13	41	18	15	0	1	3	3	1	134	143	-9	41	17	15	0	3	3	1	2	127	131	-4	95	0.579	261	463	724	6	3	102	83	68	14	3014	1003	951	1012	72	2904	791	717	1391	301	66	21.93%	296	55	81.42%	5	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	1953	1366	1993	598	1033	512
	_Vs Conference	55	25	18	0	3	3	3	3	178	174	4	27	12	10	0	1	1	2	1	88	92	-4	28	13	8	0	2	2	1	2	90	82	8	68	0.618	178	312	490	4	3	70	59	43	10	2032	697	646	657	52	1909	529	472	962	199	42	21.11%	198	34	82.83%	5	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	1310	911	1336	402	700	347
	_Vs Division	31	14	7	0	2	3	2	3	99	100	-1	15	7	4	0	1	1	1	1	53	54	-1	16	7	3	0	1	2	1	2	46	46	0	42	0.677	99	174	273	1	2	44	26	25	7	1106	361	368	355	39	1094	313	243	553	105	23	21.90%	102	19	81.37%	2	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	736	515	764	228	397	196

			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	95	L1	261	463	724	3014	2904	791	717	1391	6	3

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	35	30	4	6	4	3	261	274

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	18	15	1	3	3	1	134	143

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	17	15	3	3	1	2	127	131

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
4	5	0	0	0	1

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
301	66	21.93%	296	55	81.42%	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
1003	951	1012	72	102	83	68	14

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
1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%

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
1953	1366	1993	598	1033	512

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	1	Vancouver	3	Seattle	4	BW			Sommaire du match
3	19	Seattle	0	San Jose	1	AL	X		Sommaire du match
4	27	Seattle	3	LosAngeles	0	AW			Sommaire du match
6	40	Anaheim	5	Seattle	4	BL	X	X	Sommaire du match
8	50	Seattle	3	Anaheim	8	AL			Sommaire du match
10	64	Vancouver	5	Seattle	2	BL			Sommaire du match
12	76	Colorado	3	Seattle	1	BL			Sommaire du match
14	86	Seattle	0	Vancouver	3	AL			Sommaire du match
16	97	Seattle	6	Colorado	0	AW			Sommaire du match
18	110	Winnipeg	3	Seattle	1	BL			Sommaire du match
20	121	Seattle	4	LosAngeles	2	AW			Sommaire du match
22	134	Anaheim	3	Seattle	4	BW	X		Sommaire du match
24	147	Seattle	3	Anaheim	2	AW	X	X	Sommaire du match
27	161	Edmonton	0	Seattle	3	BW			Sommaire du match
28	172	Seattle	3	Chicago	2	AW			Sommaire du match
30	185	NYRangers	5	Seattle	4	BL	X		Sommaire du match
32	196	Seattle	0	Winnipeg	4	AL			Sommaire du match
35	208	Chicago	1	Seattle	4	BW			Sommaire du match
36	219	Floride	5	Seattle	2	BL			Sommaire du match
39	233	Seattle	5	Vancouver	4	AW			Sommaire du match
42	245	LosAngeles	2	Seattle	3	BW			Sommaire du match
43	257	Seattle	2	San Jose	4	AL			Sommaire du match
46	274	Philadelphie	4	Seattle	5	BW			Sommaire du match
47	280	Seattle	4	Edmonton	3	AW	X		Sommaire du match
50	300	NYIslanders	2	Seattle	3	BW			Sommaire du match
51	310	Seattle	1	NYRangers	3	AL			Sommaire du match
52	317	Seattle	2	Boston	1	AW			Sommaire du match
54	329	Pittsburgh	3	Seattle	6	BW			Sommaire du match
56	344	Seattle	4	St. Louis	2	AW			Sommaire du match
58	355	St. Louis	5	Seattle	1	BL			Sommaire du match
60	361	Seattle	4	Minnesota	3	AW			Sommaire du match
62	377	Edmonton	3	Seattle	6	BW			Sommaire du match
64	391	Seattle	4	Tampa Bay	6	AL			Sommaire du match
65	398	Seattle	2	LosAngeles	3	AL	X		Sommaire du match
67	407	San Jose	7	Seattle	6	BL	X		Sommaire du match
70	422	St. Louis	3	Seattle	5	BW			Sommaire du match
72	437	Seattle	2	Colorado	3	AL			Sommaire du match
73	445	Vancouver	3	Seattle	4	BW			Sommaire du match
74	450	Seattle	3	Dallas	4	AL			Sommaire du match
77	471	LosAngeles	3	Seattle	4	BW	X	X	Sommaire du match
79	482	Seattle	2	NYIslanders	4	AL			Sommaire du match
81	494	Washington	5	Seattle	3	BL			Sommaire du match
82	505	Seattle	4	Minnesota	3	AW	X		Sommaire du match
84	517	Seattle	3	Philadelphie	4	AL	X		Sommaire du match
86	526	Philadelphie	5	Seattle	1	BL			Sommaire du match
89	542	Edmonton	3	Seattle	1	BL			Sommaire du match
91	558	Seattle	2	Detroit	5	AL			Sommaire du match
92	565	Columbus	4	Seattle	1	BL			Sommaire du match
95	586	LosAngeles	1	Seattle	3	BW			Sommaire du match
97	594	Seattle	3	San Jose	1	AW			Sommaire du match
99	605	Seattle	3	Washington	6	AL			Sommaire du match
101	615	Columbus	2	Seattle	3	BW			Sommaire du match
102	628	Seattle	5	Edmonton	4	AW			Sommaire du match
104	640	Seattle	4	Dallas	1	AW			Sommaire du match
106	649	Anaheim	1	Seattle	5	BW			Sommaire du match
108	663	San Jose	8	Seattle	2	BL			Sommaire du match
110	676	Seattle	5	Montreal	4	AW	X		Sommaire du match
112	687	San Jose	7	Seattle	2	BL			Sommaire du match
114	699	Seattle	2	Edmonton	3	AL	X	X	Sommaire du match
115	707	Seattle	5	Chicago	1	AW			Sommaire du match
117	718	Montreal	3	Seattle	4	BW	X	X	Sommaire du match
119	736	Colorado	3	Seattle	4	BW			Sommaire du match
121	749	Boston	4	Seattle	3	BL	X		Sommaire du match
122	758	Seattle	4	Vancouver	3	AW			Sommaire du match
124	764	Seattle	3	Pittsburgh	2	AW			Sommaire du match
125	776	Seattle	4	Columbus	2	AW			Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
128	788	Dallas	1	Seattle	4	BW			Sommaire du match
131	805	Detroit	4	Seattle	6	BW			Sommaire du match
132	814	Seattle	4	Winnipeg	6	AL			Sommaire du match
135	831	Dallas	5	Seattle	2	BL			Sommaire du match
137	838	Seattle	3	Anaheim	1	AW			Sommaire du match
139	853	Tampa Bay	3	Seattle	2	BL			Sommaire du match
140	857	Seattle	4	Floride	6	AL			Sommaire du match
143	877	Winnipeg	4	Seattle	2	BL			Sommaire du match
144	880	Seattle	3	LosAngeles	4	AL	X	X	Sommaire du match
148	903	Buffalo	2	Seattle	3	BW			Sommaire du match
150	911	Seattle	4	Buffalo	2	AW			Sommaire du match
151	919	Seattle	0	Columbus	4	AL			Sommaire du match
154	931	Chicago	4	Seattle	2	BL			Sommaire du match
158	952	Minnesota	3	Seattle	5	BW			Sommaire du match
162	972	Minnesota	3	Seattle	4	BW	X	X	Sommaire du match
163	983	Seattle	5	St. Louis	7	AL			Sommaire du match

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	7000	6000	2778	4500	1000
Prix des billets	82	50	41	32	172
Assistance	262,396	234,305	104,267	184,291	40,950
Attendance PCT	91.43%	95.25%	91.54%	99.89%	99.88%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
0	20151 - 94.71%	1,646,796$	67,518,623$	21278	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
70,121,431$	68,840,000$	68,840,000$	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
413,912$	62,954,368$	0$	22	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	0	435,394$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
14,120$	8,125,477$	8,111,357$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
64,829,368$	170,632$	65,000,000$	24,829,368$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Jack Hughes	AGE:21	PO:89	OV:0
Pierre-Luc Dubois	AGE:24	PO:77	OV:0
Daniel Sprong	AGE:25	PO:66	OV:0
Travis Konecny	AGE:25	PO:65	OV:0
Artturi Lehkonen	AGE:26	PO:62	OV:0
Alex Galchenyuk	AGE:28	PO:60	OV:0
Brock Nelson	AGE:30	PO:51	OV:0
Mattias Janmark	AGE:29	PO:51	OV:0
Phillip Di Giuseppe	AGE:28	PO:49	OV:0
Max Pacioretty	AGE:33	PO:46	OV:0
Conor Sheary	AGE:30	PO:40	OV:0
Michael Bournival	AGE:30	PO:37	OV:0
Adam Lowry	AGE:29	PO:36	OV:0
Kurtis Macdermid	AGE:28	PO:34	OV:0
Magnus Paajarvi	AGE:31	PO:33	OV:0
Freddie Hamilton	AGE:30	PO:30	OV:0
Lars Eller	AGE:33	PO:28	OV:0
Lance Bouma	AGE:32	PO:27	OV:0
Jeff Carter	AGE:38	PO:22	OV:0
Matt Martin	AGE:33	PO:21	OV:0
Chris VandeVelde	AGE:35	PO:15	OV:0

Jack Hughes	AGE:21	PO:89	OV:0
Pierre-Luc Dubois	AGE:24	PO:77	OV:0
Alex Galchenyuk	AGE:28	PO:60	OV:0
Frederik Gauthier	AGE:27	PO:52	OV:0
Brock Nelson	AGE:30	PO:51	OV:0
Mattias Janmark	AGE:29	PO:51	OV:0
Adam Lowry	AGE:29	PO:36	OV:0
Freddie Hamilton	AGE:30	PO:30	OV:0
Lars Eller	AGE:33	PO:28	OV:0
Lance Bouma	AGE:32	PO:27	OV:0
Jonathan Toews	AGE:34	PO:25	OV:0
Jeff Carter	AGE:38	PO:22	OV:0
Chris VandeVelde	AGE:35	PO:15	OV:0

David Pastrnak	AGE:26	PO:79	OV:0
Daniel Sprong	AGE:25	PO:66	OV:0
Travis Konecny	AGE:25	PO:65	OV:0
Artturi Lehkonen	AGE:26	PO:62	OV:0
Nicolas Aube-Kubel	AGE:26	PO:62	OV:0
Alex Galchenyuk	AGE:28	PO:60	OV:0
Frederik Gauthier	AGE:27	PO:52	OV:0
Phillip Di Giuseppe	AGE:28	PO:49	OV:0
Conor Sheary	AGE:30	PO:40	OV:0
Michael Bournival	AGE:30	PO:37	OV:0
Kurtis Macdermid	AGE:28	PO:34	OV:0
Magnus Paajarvi	AGE:31	PO:33	OV:0
Freddie Hamilton	AGE:30	PO:30	OV:0
Chris Wagner	AGE:31	PO:29	OV:0
Lance Bouma	AGE:32	PO:27	OV:0
Jeff Carter	AGE:38	PO:22	OV:0
Matt Martin	AGE:33	PO:21	OV:0
Chris VandeVelde	AGE:35	PO:15	OV:0

Défense #1

Défense #2

Gardien

Evan Bouchard	AGE:22	PO:86	OV:0
Philippe Myers	AGE:25	PO:71	OV:0
Alexandre Carrier	AGE:25	PO:68	OV:0
Colton Parayko	AGE:29	PO:64	OV:0
Oscar Klefbom	AGE:28	PO:63	OV:0
Connor Carrick	AGE:28	PO:57	OV:0
Brian Dumoulin	AGE:30	PO:49	OV:0

Ryan McDonagh	AGE:33	PO:47	OV:0
Brett Bellemore	AGE:34	PO:28	OV:0
Jordie Benn	AGE:34	PO:24	OV:0
Cameron Gaunce	AGE:32	PO:22	OV:0
Mark Fraser	AGE:35	PO:19	OV:0
Ian White	AGE:38	PO:12	OV:0

Philipp Grubauer	AGE:30	PO:58	OV:0
Kevin Poulin	AGE:32	PO:42	OV:0
Braden Holtby	AGE:32	PO:40	OV:0
Eddie Lack	AGE:34	PO:39	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
Cameron Whitehead	Seattle	21	161
Carsen Twarynski	Seattle	15	126
Filip Westerlund	Seattle	16	68
Givani Smith	Seattle	15	74
Grant Mismash	Seattle	16	98
Jordan Gustafson	Seattle	21	117
Kasper Bjorkqvist	Seattle	15	96
Marcus Davidsson	Seattle	16	61
Marek Alscher	Seattle	21	141
Owen Pickering	Seattle	21	39
Pascal Laberge	Seattle	15	45
Philippe Desrosiers	Seattle	12	126
Pierre-Olivier Joseph	Seattle	16	40
Quinn Finley	Seattle	21	113
Tyson Jugnauth	Seattle	21	137
Ukko-Pekka Luukkonen	Seattle	16	80
Vinzenz Rohrer	Seattle	21	111
Wade Allison	Seattle	15	88
Zachary Lauzon	Seattle	16	86

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
22
23
24
25
26

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Seattle Historique de transactions

[2024-02-26 20:17:13] - New Record for Team's Most Shots (62) in 1 Game for Seattle!
[2024-01-31 08:12:58] - TRADE : From Pittsburgh to Seattle : Jonathan Toews, Y:22-RND:4-PIT.
[2024-01-31 08:12:58] - TRADE : From Seattle to Pittsburgh : Y:22-RND:2-SEA.
[2023-12-11 19:17:17] - Ryan McDonagh has been selected as assistant for Seattle.
[2023-12-11 19:17:17] - Unknown Player is no longer as assistant for Seattle.
[2023-11-16 16:38:32] - TRADE : From Anaheim to Seattle : Alex Galchenyuk, Y:22-RND:1-ANA.
[2023-11-16 16:38:32] - TRADE : From Seattle to Anaheim : Jake Guentzel, Jacob Bernard-Docker (P), Y:22-RND:6-SEA.
[2023-11-10 18:32:05] - Mattias Janmark has been selected as assistant for Coachella Valley.
[2023-11-10 18:32:05] - Unknown Player is no longer as assistant for Coachella Valley.
[2023-11-10 18:32:05] - Brian Dumoulin has been selected as assistant for Coachella Valley.
[2023-11-10 18:32:05] - Unknown Player is no longer as assistant for Coachella Valley.
[2023-11-10 18:32:05] - Adam Lowry has been selected as captain for Coachella Valley.
[2023-11-10 18:32:05] - Unknown Player is no longer captain for Coachella Valley.
[2023-11-09 05:53:08] - TRADE : From Seattle to Pittsburgh : J.T. Compher, Kyle Turris, Matthew Savoie (P), Y:22-RND:1-SEA.
[2023-11-09 05:53:08] - TRADE : From Pittsburgh to Seattle : David Pastrnak, Lars Eller, Travis Konecny.
[2023-10-19 08:24:28] - Connor Carrick signed with Seattle for 801 000 $ for 3 year(s).
[2023-10-19 08:24:28] - Connor Carrick was added to Seattle.
[2023-10-19 08:24:14] - Freddie Hamilton signed with Seattle for 801 000 $ for 3 year(s).
[2023-10-19 08:24:14] - Freddie Hamilton was added to Seattle.
[2023-10-16 19:14:56] - Seattle hired Guy Boucher for 3 000 000 $ for 3 year(s).
[2023-10-05 06:44:06] - Brett Bellemore signed with Seattle for 509 000 $ for 3 year(s).
[2023-10-05 06:44:06] - Brett Bellemore was added to Seattle.
[2023-10-05 06:43:52] - Matt Martin signed with Seattle for 509 000 $ for 3 year(s).
[2023-10-05 06:43:52] - Matt Martin was added to Seattle.
[2023-10-03 14:58:13] - Jordie Benn signed with Seattle for 750 000 $ for 3 year(s).
[2023-10-03 14:58:13] - Jordie Benn was added to Seattle.
[2023-10-03 14:57:54] - Michael Bournival signed with Seattle for 1 000 000 $ for 3 year(s).
[2023-10-03 14:57:54] - Michael Bournival was added to Seattle.
[2023-10-02 14:43:17] - Kevin Poulin signed with Seattle for 500 000 $ for 3 year(s).
[2023-10-02 14:43:17] - Kevin Poulin was added to Seattle.

[2024-04-27 08:05:37] Auto Lines Farm Function has been run for Coachella Valley.
[2024-04-27 08:05:37] Auto Roster Farm Only Function has been run for Seattle.
[2024-04-27 08:05:37] Coachella Valley roster errors : Too many Players available in Farm Team! 20 Dressed. Maximum is 19. Some errors will be automatically fixed.
[2024-04-26 17:53:42] Auto Roster Partial Function has been run for Seattle.
[2024-04-26 17:53:42] Coachella Valley roster errors : Too many Players available in Farm Team! 20 Dressed. Maximum is 19. Some errors will be automatically fixed.
[2024-04-26 17:53:37] Successfully loaded Seattle lines done with Web Base Client from IP:70.55.81.190 .
[2024-04-26 17:53:03] Coachella Valley roster errors : Too many Players available in Farm Team! 20 Dressed. Maximum is 19. Some errors will be automatically fixed.
[2024-04-26 17:52:55] Successfully loaded Seattle lines done with Web Base Client from IP:70.55.81.190 .
[2024-04-24 19:21:57] Evan Bouchard from Seattle is back from Bruised Right Foot Injury.
[2024-04-24 19:21:43] Successfully loaded Seattle lines done with Web Base Client from IP:24.48.43.77 .
[2024-04-24 19:21:21] Successfully loaded Seattle lines done with Web Base Client from IP:24.48.43.77 .
[2024-04-24 19:21:20] Brian Dumoulin of Seattle was sent to pro.
[2024-04-22 19:00:07] Auto Lines Farm Function has been run for Coachella Valley.
[2024-04-22 19:00:07] Auto Roster Farm Only Function has been run for Seattle.
[2024-04-22 19:00:07] Coachella Valley roster errors : Too many Players available in Farm Team! 21 Dressed. Maximum is 19. Some errors will be automatically fixed.
[2024-04-22 18:58:51] Kevin Poulin from Coachella Valley is back from Exhaustion.
[2024-04-19 18:40:49] Game 952 - Evan Bouchard from Seattle is injured (Bruised Right Foot) and is out for 1 week.
[2024-04-19 18:38:36] Kevin Poulin from Coachella Valley injured (Exhaustion)
[2024-04-19 18:38:30] Auto Lines Farm Function has been run for Coachella Valley.
[2024-04-19 18:38:30] Auto Roster Farm Only Function has been run for Seattle.
[2024-04-19 18:38:30] Coachella Valley roster errors : Too many Players available in Farm Team! 21 Dressed. Maximum is 19. Some errors will be automatically fixed.
[2024-04-19 18:38:25] Successfully loaded Seattle lines done with Web Base Client from IP:24.48.43.77 .
[2024-04-19 18:36:19] Auto Lines Farm Function has been run for Coachella Valley.
[2024-04-19 18:36:19] Auto Roster Farm Only Function has been run for Seattle.
[2024-04-19 18:36:19] Coachella Valley roster errors : Too many Players available in Farm Team! 21 Dressed. Maximum is 19. Some errors will be automatically fixed.
[2024-04-19 18:36:13] Successfully loaded Seattle lines done with Web Base Client from IP:24.48.43.77 .
[2024-04-19 18:35:51] Auto Lines Farm Function has been run for Coachella Valley.
[2024-04-19 18:35:51] Auto Roster Farm Only Function has been run for Seattle.
[2024-04-19 18:35:51] Coachella Valley roster errors : Too many Players available in Farm Team! 21 Dressed. Maximum is 19. Some errors will be automatically fixed.
[2024-04-19 18:35:46] Successfully loaded Seattle lines done with Web Base Client from IP:24.48.43.77 .
[2024-04-19 18:34:16] Auto Lines Farm Function has been run for Coachella Valley.
[2024-04-19 18:34:16] Auto Roster Farm Only Function has been run for Seattle.
[2024-04-19 18:34:16] Coachella Valley roster errors : Too many Players available in Farm Team! 21 Dressed. Maximum is 19. Some errors will be automatically fixed.
[2024-04-19 18:34:07] Successfully loaded Seattle lines done with Web Base Client from IP:24.48.43.77 .
[2024-04-19 18:32:52] Auto Lines Farm Function has been run for Coachella Valley.
[2024-04-19 18:32:52] Auto Roster Farm Only Function has been run for Seattle.
[2024-04-19 18:32:52] Coachella Valley roster errors : Too many Players available in Farm Team! 21 Dressed. Maximum is 19. Some errors will be automatically fixed.
[2024-04-19 18:32:46] Successfully loaded Seattle lines done with Web Base Client from IP:24.48.43.77 .
[2024-04-19 18:32:28] Auto Lines Farm Function has been run for Coachella Valley.
[2024-04-19 18:32:28] Auto Roster Farm Only Function has been run for Seattle.
[2024-04-19 18:32:28] Coachella Valley roster errors : Too many Players available in Farm Team! 21 Dressed. Maximum is 19. Some errors will be automatically fixed.
[2024-04-19 18:32:24] Successfully loaded Seattle lines done with Web Base Client from IP:24.48.43.77 .
[2024-04-19 18:32:10] Auto Lines Farm Function has been run for Coachella Valley.
[2024-04-19 18:32:10] Auto Roster Farm Only Function has been run for Seattle.
[2024-04-19 18:32:10] Coachella Valley roster errors : Too many Players available in Farm Team! 21 Dressed. Maximum is 19. Some errors will be automatically fixed.
[2024-04-19 18:32:04] Successfully loaded Seattle lines done with Web Base Client from IP:24.48.43.77 .
[2024-04-19 18:23:43] Auto Lines Farm Function has been run for Coachella Valley.
[2024-04-19 18:22:53] Coachella Valley roster errors : Too many Players available in Farm Team! 21 Dressed. Maximum is 19. Some errors will be automatically fixed.
[2024-04-19 18:15:35] Successfully loaded Seattle lines done with Web Base Client from IP:24.48.43.77 .
[2024-04-19 18:15:35] Brett Bellemore of Seattle was sent down to farm.

Pas de blessure ou de suspension.

Seattle 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	PKS	GW	GT	FO%	HT	P/20	PSG	PSS
1	Jack Hughes	246	99	161	260	-19	38	102	501	990	10.00%	36	4911	19.97	33	41	74	227	3	17	13	41.75%	2	1.06	9	22
2	Pierre-Luc Dubois	246	84	109	193	-12	134	441	404	845	9.94%	14	4863	19.77	20	49	69	161	0	12	4	51.51%	2	0.79	7	26
3	Oscar Klefbom	246	45	136	181	-38	47	75	236	472	9.53%	300	5109	20.77	20	36	56	232	0	15	3	0%	0	0.71	0	0
4	Colton Parayko	246	44	133	177	-60	370	554	282	543	8.10%	313	5639	22.92	25	40	65	287	3	8	0	0%	0	0.63	0	0
5	Max Pacioretty	232	71	76	147	-25	144	489	206	691	10.27%	31	4031	17.38	29	19	48	137	0	7	7	44.20%	2	0.73	0	3

Seattle 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
1	Philipp Grubauer	135	71	40	16	0.912	2.90	7820	14	8	378	4303	0	8	8	0.620	50
2	Braden Holtby	123	60	45	14	0.906	3.23	7106	16	5	383	4056	0	4	7	0.625	40

Seattle 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	36	25	0	4	3	5	9	248	243	5	41	18	12	0	1	2	3	5	125	116	9	41	18	13	0	3	1	2	4	123	127	-4	102	248	432	680	3	7	81	82	76	17	2509	860	790	812	95	2566	744	630	1378	292	62	21.23%	280	48	82.86%	2	1411	2923	48.27%	1504	3045	49.39%	638	1309	48.74%	1942	1341	2021	614	1045	523
21	82	35	30	0	4	6	4	3	261	274	-13	41	18	15	0	1	3	3	1	134	143	-9	41	17	15	0	3	3	1	2	127	131	-4	95	261	463	724	6	3	102	83	68	14	3014	1003	951	1012	72	2904	791	717	1391	301	66	21.93%	296	55	81.42%	5	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	1953	1366	1993	598	1033	512
21	82	35	30	0	4	6	4	3	261	274	-13	41	18	15	0	1	3	3	1	134	143	-9	41	17	15	0	3	3	1	2	127	131	-4	95	261	463	724	6	3	102	83	68	14	3014	1003	951	1012	72	2904	791	717	1391	301	66	21.93%	296	55	81.42%	5	1543	3190	48.37%	1523	3195	47.67%	643	1325	48.53%	1953	1366	1993	598	1033	512
Total Saison régulière	246	106	85	0	12	15	13	15	770	791	-21	123	54	42	0	3	8	9	7	393	402	-9	123	52	43	0	9	7	4	8	377	389	-12	292	770	1358	2128	15	13	285	248	212	45	8537	2866	2692	2836	239	8374	2326	2064	4160	894	194	21.70%	872	158	81.88%	12	4497	9303	48.34%	4550	9435	48.22%	1924	3959	48.60%	5849	4074	6009	1811	3112	1547
Séries éliminatoires
20	7	3	4	0	0	0	0	0	26	24	2	4	3	1	0	0	0	0	0	17	11	6	3	0	3	0	0	0	0	0	9	13	-4	6	26	47	73	1	0	9	6	11	0	214	80	65	69	0	223	57	59	118	29	7	24.14%	22	8	63.64%	0	118	240	49.17%	109	251	43.43%	55	109	50.46%	166	117	164	48	88	43
Total Séries éliminatoires	7	3	4	0	0	0	0	0	26	24	2	4	3	1	0	0	0	0	0	17	11	6	3	0	3	0	0	0	0	0	9	13	-4	6	26	47	73	1	0	9	6	11	0	214	80	65	69	0	223	57	59	118	29	7	24.14%	22	8	63.64%	0	118	240	49.17%	109	251	43.43%	55	109	50.46%	166	117	164	48	88	43

Seattle 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	GW	FO%	HT	P/20
1	Kyle Turris	7	1	7	8	2	2	2	7	22	4.55%	1	117	16.73	0	1	1	7	0	60.00%	0	1.37
2	Jack Hughes	7	6	2	8	2	0	2	7	21	28.57%	0	119	17.03	1	0	1	5	0	39.13%	1	1.34
3	Oscar Klefbom	7	1	6	7	0	0	2	0	13	7.69%	4	142	20.34	1	2	3	8	1	0%	0	0.98
4	Pierre-Luc Dubois	7	5	2	7	1	2	5	7	26	19.23%	0	141	20.17	1	2	3	7	0	42.22%	0	0.99
5	Jeff Carter	7	4	2	6	2	4	14	5	10	40.00%	2	124	17.76	1	2	3	3	0	47.06%	0	0.97

Seattle 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
1	Braden Holtby	4	2	2	0	0.881	4.25	226	2	0	16	135	0	0	0	0	0
2	Philipp Grubauer	4	1	2	0	0.920	2.23	188	0	0	7	87	0	0	1	0	0

	Seattle
	GP: 82 \| W: 43 \| L: 30 \| OTL: 9 \| P: 95 GF: 261 \| GA: 274 \| PP%: 21.93% \| PK%: 81.42% DG: \| Morale : 50 \| Moyenne d’équipe : N/A