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

Centre de jeu
	Trash Pandas 27-33-4, 58pts	2	FINAL	4	Mariners 36-20-7, 79pts

Team Stats
L2	Streak	W5
15-17-1	Home Record	21-9-3
12-16-3	Away Record	15-11-4
4-5-1	Last 10 Games	8-2-0
2.66	Buts par match	2.92
3.23	Buts contre par match	2.56
18.99%	Pourcentage en avantage numérique	19.47%
74.80%	Pourcentage en désavantage numérique	84.75%

Mariners
36-20-7, 79pts

FINAL

Mongoloids
20-35-12, 52pts

Team Stats
W5	Streak	L1
21-9-3	Home Record	12-16-5
15-11-4	Away Record	8-19-7
8-2-0	Last 10 Games	3-6-1
2.92	Buts par match	2.12
2.56	Buts contre par match	3.10
19.47%	Pourcentage en avantage numérique	16.07%
84.75%	Pourcentage en désavantage numérique	77.08%

Trash Pandas
27-33-4, 58pts

2023-11-07

Mariners
36-20-7, 79pts

Statistiques d’équipe
L2	Séquence	W5
15-17-1	Fiche domicile	21-9-3
12-16-3	Fiche visiteur	15-11-4
4-5-1	10 derniers matchs	8-2-0
2.66	Buts par match	2.92
3.23	Buts contre par match	2.92
18.99%	Pourcentage en avantage numérique	19.47%
74.80%	Pourcentage en désavantage numérique	84.75%

Mariners
36-20-7, 79pts

2023-11-08

Riots
38-21-8, 84pts

Statistiques d’équipe
W5	Séquence	W1
21-9-3	Fiche domicile	18-10-4
15-11-4	Fiche visiteur	20-11-4
8-2-0	10 derniers matchs	6-3-1
2.92	Buts par match	2.75
2.56	Buts contre par match	2.75
19.47%	Pourcentage en avantage numérique	17.20%
84.75%	Pourcentage en désavantage numérique	88.41%

Warheads
28-30-7, 63pts

2023-11-08

Mariners
36-20-7, 79pts

Statistiques d’équipe
L1	Séquence	W5
12-18-3	Fiche domicile	21-9-3
16-12-4	Fiche visiteur	15-11-4
4-4-2	10 derniers matchs	8-2-0
2.35	Buts par match	2.92
2.75	Buts contre par match	2.92
11.35%	Pourcentage en avantage numérique	19.47%
76.00%	Pourcentage en désavantage numérique	84.75%

Meneurs d'équipe
	Buts Mika Zibanejad 24	Passes Ricky Cumalot 40

	Points Mika Zibanejad 62	Plus/Moins Adrian Kempe 23

	Victoires Linus Ullmark 34	Pourcentage d’arrêts Linus Ullmark 0.924

Statistiques d’équipe
Buts pour 184 2.92 GFG	Tirs pour 2193 34.81 Avg	Pourcentage en avantage numérique 19.5% 37 GF	Début de zone offensive 40.2%
Buts contre 161 2.56 GAA	Tirs contre 1933 30.68 Avg	Pourcentage en désavantage numérique 84.7%% 27 GA	Début de la zone défensive 41.3%

Informations de l'équipe
	Directeur général	Dave Zan
	Division	Iafrate
	Conférence	Campbell
	Capitaine	Mika Zibanejad
	Assistant #1	Marc Staal
	Assistant #2	Jeff Skinner
Informations de l’aréna
	Nom	The Shipyard
	Capacité	18,000
	Assistance	16,103
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	22
	Équipe Mineure	9
	Limite contact	31 / 99
	Espoirs	19
Plafond salarial
	Cap Salarial de la Saison estimé	94,935,750$
	Plafond salarial disponible	27,064,250$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	22
Finance
	Revenu annuel à ce jour	48,668,151$
	Dépenses annuelles à ce jour	76,431,576$
	Revenus de la saison estimés	11,798,340$
	Dépenses de la saison estimées	21,104,340$
	Compte bancaire actuel	181,028,575$
	Compte bancaire projeté	171,557,181$
Historique d'équipe
	Saison actuelle	36-20-7 (79PTS)
	Historique	107-75-25 (0.517%)
	Apparitions en séries éliminatoires	4
	Historique en séries éliminatoires (W-L)	6-16
	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
1	Mika Zibanejad (C)	X				99.00	73	44	91	92	76	84	99	90	88	87	92	80	76	77	78	88	90	90	0	30	6	8,500,000$
2	Ricky Cumalot		X	X		99.00	81	41	80	90	86	85	94	95	30	85	85	83	75	50	50	1	90	88	2	29	8	8,500,000$
3	Jeff Skinner (A)		X			100.00	61	41	88	87	70	76	97	86	56	86	90	62	40	83	83	82	90	87	0	31	4	9,000,000$
4	Patrik Laine		X	X		100.00	65	43	90	88	79	80	73	91	41	84	88	60	85	68	68	81	90	87	0	25	3	8,700,000$
5	Adrian Kempe	X	X	X		100.00	80	55	81	90	75	79	97	83	35	76	93	73	75	68	69	85	90	85	0	27	2	5,500,000$
6	Mats Zuccarello		X	X		100.00	69	41	89	88	61	85	91	95	38	85	79	63	82	76	80	80	90	85	0	36	3	6,000,000$
7	Sean Monahan	X				100.00	63	42	81	81	75	76	63	88	95	81	75	78	72	74	74	77	90	80	0	29	1	1,985,000$
8	Filip Chytil	X	X			100.00	65	42	87	82	76	69	88	70	72	75	81	64	25	67	68	76	90	77	0	24	4	4,437,500$
9	Nicholas Paul (R)	X	X			100.00	79	55	87	84	81	73	97	67	91	65	72	74	25	67	69	74	90	76	0	29	2	3,150,000$
10	James van Riemsdyk		X	X		100.00	61	42	86	80	80	70	89	79	44	73	72	60	61	83	83	72	90	75	0	34	1	1,000,000$
11	Jonatan Berggren (R)	X	X	X		100.00	61	41	91	69	65	65	89	73	44	65	73	62	25	52	52	70	90	70	0	23	1	925,000$
12	Ryan Graves				X	100.00	76	45	88	81	84	80	94	59	25	57	50	90	75	66	68	67	90	81	0	28	6	4,500,000$
13	Marc Staal (A)				X	100.00	84	56	84	78	79	76	94	57	25	51	48	88	25	87	87	65	90	80	0	37	1	1,100,000$
14	Brady Skjei				X	100.00	73	44	85	86	79	85	99	64	25	59	62	82	25	72	74	71	90	78	0	30	1	5,250,000$
15	Christopher Tanev				X	100.00	71	53	89	82	74	80	91	62	25	53	47	89	25	78	81	65	90	78	0	34	2	4,500,000$
16	Nikita Zaitsev				X	100.00	86	45	87	80	73	70	73	56	25	51	47	87	25	68	68	63	90	78	0	32	1	4,500,000$
17	Brandon Montour				X	100.00	77	53	64	86	69	90	98	95	25	79	61	75	75	70	71	75	90	77	0	30	1	3,500,000$
18	Erik Brannstrom				X	100.00	69	42	85	83	66	69	85	66	25	56	48	80	25	62	62	64	90	72	0	24	1	2,000,000$
Rayé
1	Jesper Fast			X		100.00	78	44	93	85	71	68	98	59	37	69	64	73	75	74	77	70	90	70	0	32	2	2,400,000$
2	Logan Stanley				X	100.00	88	80	70	73	85	63	59	55	25	49	48	79	25	57	58	61	90	78	0	25	1	1,000,000$
Équipe Mineure
1	Tim Gettinger (R)		X			100.00	83	83	84	66	83	67	69	62	50	60	60	68	57	44	44	64	90	73	0	26	1	775,000$
2	Will Cuylle (R)		X			100.00	78	79	77	64	79	78	82	62	50	55	65	66	62	44	44	66	90	72	0	21	2	828,333$
3	Jamieson Rees (R)	X				100.00	64	65	62	64	65	75	79	62	78	61	59	59	56	44	44	62	90	61	0	23	1	839,167$
4	Cal Foote (R)				X	100.00	76	85	66	64	79	66	73	63	25	49	48	78	25	60	61	60	90	75	0	25	1	800,000$
5	Matthew Robertson (R)				X	100.00	79	77	82	63	77	72	78	52	25	47	42	64	40	44	44	56	90	70	0	23	1	797,500$
6	Nils Lundkvist				X	100.00	71	42	87	76	67	70	77	69	25	52	50	67	25	55	55	61	90	68	0	23	1	925,000$
7	Yan Kuznetsov (R)				X	100.00	80	78	85	67	78	55	57	49	25	41	41	63	39	44	44	54	90	68	0	22	1	870,000$
8	Axel Andersson (R)				X	100.00	73	67	86	64	67	53	55	46	25	36	40	59	38	44	44	51	90	62	0	24	1	772,500$

	MOYENNE D’ÉQUIPE					99.90	73	47	85	83	75	76	88	75	44	69	69	75	51	70	71	69	90	80

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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
1	Linus Ullmark	100.00	95	75	73	86	99	91	99	95	99	95	95	63	64	93	90	95	0	30	2	5,000,000$
2	Anton Forsberg	100.00	67	67	66	78	73	61	73	66	69	67	59	59	59	68	90	69	0	31	2	2,750,000$
Rayé
Équipe Mineure
1	Olivier Rodrigue (R)	100.00	55	43	54	59	60	56	53	59	57	56	30	44	44	55	90	57	0	23	1	775,000$

	MOYENNE D’ÉQUIPE	100.00	81	71	70	82	86	76	86	81	84	81	77	61	62	81	90	82

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire

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Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	S1	S2	S3
1	Mika Zibanejad	Mariners	C	63	24	38	62	-5	23	5	77	173	311	78	223	7.72%	22	1537	24.41	3	11	14	41	168	0	1	1	10	166	6	2	54.42%	1799	10	7	0	0	0.81	0	6	1	0	6	3	0
2	Ricky Cumalot	Mariners	LW/RW	63	20	40	60	1	34	0	156	117	266	75	181	7.52%	23	1329	21.11	5	8	13	48	166	1	0	1	4	163	1	2	25.00%	84	7	4	1	1	0.90	1	6	0	0	3	2	4
3	Jeff Skinner	Mariners	LW	63	19	30	49	20	4	0	35	73	199	48	140	9.55%	9	1171	18.60	6	9	15	24	155	0	0	0	2	45	2	4	39.43%	246	8	3	0	0	0.84	0	3	0	0	3	4	2
4	Adrian Kempe	Mariners	C/LW/RW	63	23	24	47	23	36	0	149	81	247	60	160	9.31%	8	1190	18.90	5	8	13	42	147	0	1	1	7	77	5	1	35.27%	224	7	0	0	1	0.79	0	1	0	0	6	3	5
5	Sean Monahan	Mariners	C	59	17	28	45	4	10	0	31	147	185	47	107	9.19%	8	1083	18.36	2	7	9	37	124	0	0	0	4	80	2	2	55.49%	1274	3	5	1	1	0.83	0	0	0	0	3	3	0
6	Patrik Laine	Mariners	LW/RW	63	17	19	36	-2	6	0	30	67	151	46	107	11.26%	7	1123	17.84	6	3	9	22	166	0	0	0	3	57	4	2	36.00%	125	7	2	0	0	0.64	2	5	0	0	2	2	2
7	Brandon Montour	Mariners	D	63	6	30	36	-4	38	0	96	46	55	23	47	10.91%	58	1098	17.44	4	7	11	35	150	0	0	0	0	54	1	1	0.00%	0	3	8	0	0	0.66	0	0	0	0	0	1	2
8	Ryan Graves	Mariners	D	63	9	21	30	11	30	0	84	58	72	31	49	12.50%	106	1464	23.24	2	6	8	24	147	0	1	1	0	148	3	0	0.00%	0	4	13	0	0	0.41	0	0	0	0	2	2	5
9	Mats Zuccarello	Mariners	LW/RW	63	8	21	29	0	16	0	73	92	190	52	124	4.21%	8	985	15.65	1	2	3	5	30	0	0	0	0	0	0	0	36.00%	75	11	3	0	0	0.59	1	1	0	0	1	2	1
10	Brady Skjei	Mariners	D	63	7	18	25	-1	28	0	46	45	67	19	52	10.45%	67	1184	18.80	2	2	4	24	155	0	0	0	0	79	2	0	0.00%	0	1	6	0	0	0.42	0	0	0	0	0	3	1
11	Filip Chytil	Mariners	C/LW	63	9	9	18	-4	12	0	67	68	101	40	76	8.91%	8	883	14.02	0	0	0	0	5	0	0	0	0	0	1	1	43.12%	589	5	5	1	0	0.41	0	0	0	0	0	0	1
12	Marc Staal	Mariners	D	62	2	10	12	8	76	20	101	40	48	14	35	4.17%	84	1129	18.22	0	3	3	8	91	0	0	0	0	129	1	0	0.00%	0	0	7	0	0	0.21	0	0	1	2	0	0	2
13	Nicholas Paul	Mariners	C/LW	63	6	5	11	-3	20	0	47	66	60	13	39	10.00%	7	589	9.35	0	0	0	0	1	1	0	1	1	49	0	2	53.39%	502	1	5	0	0	0.37	0	0	0	0	0	0	0
14	James van Riemsdyk	Mariners	LW/RW	57	5	6	11	-4	10	0	31	53	73	21	50	6.85%	7	782	13.74	0	0	0	0	3	0	0	0	0	0	1	1	38.24%	102	1	2	0	0	0.28	0	0	0	0	1	0	0
15	Christopher Tanev	Mariners	D	47	0	8	8	-2	11	5	26	32	33	11	19	0.00%	45	712	15.15	0	1	1	6	35	0	0	0	0	67	0	0	0.00%	0	0	1	0	0	0.22	0	0	1	0	0	0	0
16	Logan Stanley	Mariners	D	56	3	4	7	0	63	15	112	28	33	10	16	9.09%	46	855	15.27	0	0	0	2	25	0	1	1	0	69	1	0	0.00%	0	1	3	0	0	0.16	0	0	2	1	1	1	0
17	Nikita Zaitsev	Mariners	D	54	2	3	5	-7	14	0	61	46	42	9	19	4.76%	59	907	16.81	0	0	0	3	28	0	0	0	0	87	1	0	0.00%	0	0	4	0	0	0.11	0	0	0	0	1	0	1
18	Erik Brannstrom	Mariners	D	38	0	3	3	10	6	0	12	16	9	5	5	0.00%	11	290	7.64	0	0	0	1	21	0	0	0	0	3	0	0	0.00%	0	1	0	0	0	0.21	0	0	0	0	0	0	0
19	Jesper Fast	Mariners	RW	6	0	1	1	1	0	0	5	2	3	0	3	0.00%	0	65	10.95	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	1	2	2	0	0	0.30	0	0	0	0	0	0	0
20	Jonatan Berggren	Mariners	C/LW/RW	46	1	0	1	-8	0	0	10	9	18	10	9	5.56%	1	248	5.40	0	0	0	0	0	0	0	0	0	0	0	0	23.08%	13	0	0	0	0	0.08	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1118	178	318	496	38	437	45	1249	1259	2163	612	1461	8.23%	584	18634	16.67	36	67	103	322	1625	2	4	6	31	1281	31	18	50.04%	5034	72	80	3	3	0.53	4	22	5	3	29	26	26

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Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Linus Ullmark	Mariners	59	34	17	7	0.924	2.30	3518	3	135	1777	145	1	4	0.857	21	58	5	8	6	2
2	Anton Forsberg	Mariners	6	2	3	0	0.881	3.59	301	0	18	151	0	1	1	0.00%	0	5	58	0	0	0
Statistiques d’équipe totales ou en moyenne			65	36	20	7	0.921	2.40	3819	3	153	1928	145	2	5		21	63	63	8	6	2

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Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	Salaire actuel	Salaire restant	Salaire moyen	Salaire moyen restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Salaire annuel 5	Salaire annuel 6	Salaire annuel 7	Salaire annuel 8	Link
Adrian Kempe	Mariners	C/LW/RW	27	1996-09-12	No	201 Lbs	6 ft2	No	No	No	2	Pro & Farm	5,500,000$	1,232,240$	5,500,000$	1,232,240$	5,500,000$	1,232,240$	No	5,500,000$							Lien / Lien NHL
Anton Forsberg	Mariners	G	31	1992-11-26	No	192 Lbs	6 ft3	No	No	No	2	Pro & Farm	2,750,000$	616,120$	2,750,000$	616,120$	2,750,000$	616,120$	No	2,750,000$							Lien / Lien NHL
Brady Skjei	Mariners	D	30	1994-03-25	No	210 Lbs	6 ft3	No	No	No	1	Pro & Farm	5,250,000$	1,176,230$	5,250,000$	1,176,230$	5,250,000$	1,176,230$	No								Lien / Lien NHL
Brandon Montour	Mariners	D	30	1994-04-11	No	189 Lbs	6 ft0	No	No	No	1	Pro & Farm	3,500,000$	784,153$	3,500,000$	784,153$	3,500,000$	784,153$	No								Lien / Lien NHL
Christopher Tanev	Mariners	D	34	1989-12-20	No	197 Lbs	6 ft2	No	No	No	2	Pro & Farm	4,500,000$	1,008,197$	4,500,000$	1,008,197$	4,500,000$	1,008,197$	No	4,500,000$							Lien
Erik Brannstrom	Mariners	D	24	1999-09-02	No	185 Lbs	5 ft10	No	No	No	1	Pro & Farm	2,000,000$	448,087$	2,000,000$	448,087$	2,000,000$	448,087$	No								Lien
Filip Chytil	Mariners	C/LW	24	1999-09-05	No	206 Lbs	6 ft2	No	No	No	4	Pro & Farm	4,437,500$	994,194$	4,437,500$	994,194$	4,437,500$	994,194$	No	4,437,500$	4,437,500$	4,437,500$					Lien / Lien NHL
James van Riemsdyk	Mariners	LW/RW	34	1989-05-04	No	217 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,000,000$	224,044$	1,000,000$	224,044$	1,000,000$	224,044$	No								Lien / Lien NHL
Jeff Skinner	Mariners	LW	31	1992-05-16	No	195 Lbs	5 ft11	No	No	No	4	Pro & Farm	9,000,000$	2,016,393$	9,000,000$	2,016,393$	9,000,000$	2,016,393$	No	9,000,000$	9,000,000$	9,000,000$					Lien / Lien NHL
Jesper Fast	Mariners	RW	32	1991-12-02	No	191 Lbs	6 ft1	No	No	No	2	Pro & Farm	2,400,000$	537,705$	2,400,000$	537,705$	2,400,000$	537,705$	No	2,400,000$							Lien / Lien NHL
Jonatan Berggren	Mariners	C/LW/RW	23	2000-07-16	Yes	183 Lbs	5 ft10	No	No	No	1	Pro & Farm	925,000$	207,240$	925,000$	207,240$	925,000$	207,240$	No								Lien
Linus Ullmark	Mariners	G	30	1993-07-30	No	215 Lbs	6 ft4	No	No	No	2	Pro & Farm	5,000,000$	1,120,219$	5,000,000$	1,120,219$	5,000,000$	1,120,219$	No	5,000,000$							Lien / Lien NHL
Logan Stanley	Mariners	D	25	1998-05-25	No	216 Lbs	6 ft6	No	No	No	1	Pro & Farm	1,000,000$	224,044$	1,000,000$	224,044$	1,000,000$	224,044$	No								Lien
Marc Staal	Mariners	D	37	1987-01-12	No	209 Lbs	6 ft4	No	No	No	1	Pro & Farm	1,100,000$	246,448$	1,100,000$	246,448$	1,100,000$	246,448$	No								Lien / Lien NHL
Mats Zuccarello	Mariners	LW/RW	36	1987-08-31	No	178 Lbs	5 ft8	No	No	No	3	Pro & Farm	6,000,000$	1,344,262$	4,750,000$	1,064,208$	6,000,000$	1,344,262$	No	4,125,000$	4,125,000$						Lien / Lien NHL
Mika Zibanejad	Mariners	C	30	1993-04-18	No	208 Lbs	6 ft2	No	No	No	6	Pro & Farm	8,500,000$	1,904,372$	8,500,000$	1,904,372$	8,500,000$	1,904,372$	No	8,500,000$	8,500,000$	8,500,000$	8,500,000$	8,500,000$			Lien / Lien NHL
Nicholas Paul	Mariners	C/LW	29	1995-03-20	Yes	219 Lbs	6 ft3	No	No	No	2	Pro & Farm	3,150,000$	705,738$	3,150,000$	705,738$	3,150,000$	705,738$	No	3,150,000$							Lien
Nikita Zaitsev	Mariners	D	32	1991-10-29	No	195 Lbs	6 ft2	No	No	No	1	Pro & Farm	4,500,000$	1,008,197$	4,500,000$	1,008,197$	4,500,000$	1,008,197$	No								Lien / Lien NHL
Patrik Laine	Mariners	LW/RW	25	1998-04-19	No	206 Lbs	6 ft5	No	No	No	3	Pro & Farm	8,700,000$	1,949,180$	8,700,000$	1,949,180$	8,700,000$	1,949,180$	No	8,700,000$	8,700,000$						Lien / Lien NHL
Ricky Cumalot	Mariners	LW/RW	29	1994-08-13	No	205 Lbs	6 ft2	No	No	No	8	Pro & Farm	8,500,000$	1,904,372$	8,500,000$	1,904,372$	8,500,000$	1,904,372$	No	8,500,000$	8,500,000$	8,500,000$	8,500,000$	8,500,000$	8,500,000$	8,500,000$	Lien / Lien NHL
Ryan Graves	Mariners	D	28	1995-05-21	No	220 Lbs	6 ft5	No	No	No	6	Pro & Farm	4,500,000$	1,008,197$	4,500,000$	1,008,197$	4,500,000$	1,008,197$	No	4,500,000$	4,500,000$	4,500,000$	4,500,000$	4,500,000$			Lien / Lien NHL
Sean Monahan (contrat à 1 volet)	Mariners	C	29	1994-10-12	No	200 Lbs	6 ft2	No	No	No	1	Pro Only	1,985,000$	444,727$	1,985,000$	444,727$	1,985,000$	444,727$	No								Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
22	29.55	202 Lbs	6 ft2	2.50	4,281,705$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
94,197,500$	71,062,500$	47,762,500$	34,937,500$	21,500,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Ricky Cumalot	Mika Zibanejad	Patrik Laine	33	1	2	2
2	Jeff Skinner	Sean Monahan	Adrian Kempe	33	1	2	2
3	Mats Zuccarello	Nicholas Paul	James van Riemsdyk	26	1	2	2
4	Jonatan Berggren	Filip Chytil	Mika Zibanejad	8	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ryan Graves	Brandon Montour	30	1	2	2
2	Christopher Tanev	Brady Skjei	28	1	2	2
3	Nikita Zaitsev	Marc Staal	26	1	2	2
4	Ryan Graves	Marc Staal	16	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Ricky Cumalot	Mika Zibanejad	Patrik Laine	55	1	1	3
2	Jeff Skinner	Sean Monahan	Adrian Kempe	45	1	1	3

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Brandon Montour	Brady Skjei	55	1	1	3
2	Ryan Graves	Christopher Tanev	45	1	1	3

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Mika Zibanejad	Ricky Cumalot	55	1	3	1
2	Sean Monahan	Adrian Kempe	45	1	3	1

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ryan Graves	Marc Staal	55	1	3	1
2	Brady Skjei	Christopher Tanev	45	1	3	1

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Mika Zibanejad	55	1	3	1	Ryan Graves	Marc Staal	55	1	3	1
2	Sean Monahan	45	1	3	1	Brady Skjei	Christopher Tanev	45	1	3	1

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Mika Zibanejad	Ricky Cumalot	55	1	2	2
2	Sean Monahan	Adrian Kempe	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ryan Graves	Marc Staal	55	1	2	2
2	Brady Skjei	Christopher Tanev	45	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Ricky Cumalot	Mika Zibanejad	Patrik Laine	Brandon Montour	Brady Skjei

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Ricky Cumalot	Mika Zibanejad	Sean Monahan	Ryan Graves	Marc Staal

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Sean Monahan, Filip Chytil, Nicholas Paul	Sean Monahan, Filip Chytil	Nicholas Paul

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Ryan Graves, Brady Skjei, Brandon Montour	Ryan Graves	Brady Skjei, Brandon Montour

Tirs de pénalité
Mika Zibanejad, Ricky Cumalot, Patrik Laine, Jeff Skinner, Adrian Kempe

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

Lignes d’attaque personnalisées en prolongation
Mika Zibanejad, Ricky Cumalot, Patrik Laine, Jeff Skinner, Adrian Kempe, Mats Zuccarello, Mats Zuccarello, Sean Monahan, Filip Chytil, Nicholas Paul, James van Riemsdyk

Lignes de défense personnalisées en prolongation
Ryan Graves, Marc Staal, Nikita Zaitsev, Christopher Tanev, Brady Skjei

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	Aces	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	2	4	0	0	0	2	0	0	41	19	11	11	0	40	6	12	16	3	0	0.00%	5	0	100.00%	0	1023	2039	50.17%	1058	2094	50.53%	513	938	54.69%	23	16	24	6	12	6
2	Apsos	1	0	0	0	1	0	0	0	4	3	1	1	0	0	0	1	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	1	2	0	1	42	17	12	12	1	27	11	4	23	8	2	25.00%	2	0	100.00%	0	1023	2039	50.17%	1058	2094	50.53%	513	938	54.69%	26	18	21	7	12	6
3	Bunnies	2	0	2	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	3	5	8	1	0	1	2	0	0	62	21	28	13	0	70	22	22	45	5	0	0.00%	10	2	80.00%	0	1023	2039	50.17%	1058	2094	50.53%	513	938	54.69%	42	28	53	16	24	11
4	Chiefs	4	4	0	0	0	0	0	0	18	8	10	3	3	0	0	0	0	0	0	13	7	6	1	1	0	0	0	0	0	0	5	1	4	8	1.000	18	27	45	0	0	3	10	5	0	176	55	72	49	0	127	33	18	71	8	4	50.00%	8	1	87.50%	0	1023	2039	50.17%	1058	2094	50.53%	513	938	54.69%	96	70	91	27	51	25
5	Cunts	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	5	3	2	4	1.000	9	17	26	0	0	3	3	3	0	79	28	28	23	0	68	25	14	38	9	2	22.22%	7	0	100.00%	0	1023	2039	50.17%	1058	2094	50.53%	513	938	54.69%	46	33	51	14	22	11
6	Fletushkas	8	2	2	0	2	2	0	0	18	18	0	4	2	0	0	2	0	0	0	12	5	7	4	0	2	0	0	2	0	0	6	13	-7	10	0.625	18	35	53	1	1	3	9	4	2	224	59	81	80	4	218	67	55	168	19	5	26.32%	23	1	95.65%	0	1023	2039	50.17%	1058	2094	50.53%	513	938	54.69%	178	116	191	64	116	57
7	Flyers	8	3	3	0	1	0	0	1	17	15	2	4	2	1	0	1	0	0	0	9	6	3	4	1	2	0	0	0	0	1	8	9	-1	9	0.563	17	30	47	0	1	6	5	5	1	249	88	85	68	13	219	74	50	153	25	2	8.00%	24	4	83.33%	1	1023	2039	50.17%	1058	2094	50.53%	513	938	54.69%	182	118	187	64	116	58
8	Fucksticks	2	1	0	0	0	1	0	0	8	6	2	1	0	0	0	0	1	0	0	4	5	-1	1	1	0	0	0	0	0	0	4	1	3	3	0.750	8	16	24	0	0	0	4	4	0	82	29	27	26	0	61	16	13	38	7	1	14.29%	4	0	100.00%	0	1023	2039	50.17%	1058	2094	50.53%	513	938	54.69%	47	35	48	13	24	11
9	Giants	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	6	10	0	0	1	2	1	0	35	12	16	7	0	34	4	10	14	2	1	50.00%	5	0	100.00%	0	1023	2039	50.17%	1058	2094	50.53%	513	938	54.69%	24	17	23	6	12	5
10	Gladiators	2	0	1	0	0	1	0	0	7	10	-3	1	0	0	0	0	1	0	0	4	5	-1	1	0	1	0	0	0	0	0	3	5	-2	1	0.250	7	12	19	0	0	1	4	2	0	68	16	24	26	2	86	28	24	57	3	2	66.67%	12	4	66.67%	0	1023	2039	50.17%	1058	2094	50.53%	513	938	54.69%	42	28	54	15	25	11
11	Jets	2	1	0	0	0	0	0	1	6	4	2	0	0	0	0	0	0	0	0	0	0	0	2	1	0	0	0	0	0	1	6	4	2	3	0.750	6	11	17	0	1	0	4	2	0	68	22	23	22	4	60	25	2	54	5	2	40.00%	1	0	100.00%	0	1023	2039	50.17%	1058	2094	50.53%	513	938	54.69%	45	30	48	16	30	14
12	Mongoloids	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	1	3	4	1.000	8	15	23	0	0	2	2	4	0	89	35	23	31	0	56	18	20	35	10	3	30.00%	9	2	77.78%	0	1023	2039	50.17%	1058	2094	50.53%	513	938	54.69%	46	32	49	15	24	12
13	Oilers	8	3	4	0	0	0	1	0	21	24	-3	4	1	2	0	0	0	1	0	9	9	0	4	2	2	0	0	0	0	0	12	15	-3	8	0.500	21	36	57	1	0	3	11	6	1	271	98	99	69	8	239	71	41	161	28	3	10.71%	16	2	87.50%	0	1023	2039	50.17%	1058	2094	50.53%	513	938	54.69%	191	128	177	63	116	58
14	Phantoms	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	1	0	1	1	0	0	38	11	13	14	0	30	13	8	18	1	0	0.00%	4	1	75.00%	0	1023	2039	50.17%	1058	2094	50.53%	513	938	54.69%	22	15	24	7	13	6
15	Riots	6	1	4	0	0	0	1	0	14	17	-3	3	1	2	0	0	0	0	0	7	8	-1	3	0	2	0	0	0	1	0	7	9	-2	4	0.333	14	25	39	1	0	4	7	2	1	211	62	75	71	9	177	45	46	124	16	1	6.25%	11	1	90.91%	0	1023	2039	50.17%	1058	2094	50.53%	513	938	54.69%	144	100	140	45	80	38
16	Shitbirds	2	1	0	0	1	0	0	0	6	4	2	1	1	0	0	0	0	0	0	2	1	1	1	0	0	0	1	0	0	0	4	3	1	4	1.000	6	9	15	0	0	3	1	1	1	73	18	16	34	5	78	29	15	27	7	1	14.29%	5	1	80.00%	0	1023	2039	50.17%	1058	2094	50.53%	513	938	54.69%	44	32	54	15	24	11
17	Steamers	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	4	7	0	0	0	3	0	0	41	15	14	12	0	29	5	9	13	3	0	0.00%	1	0	100.00%	0	1023	2039	50.17%	1058	2094	50.53%	513	938	54.69%	24	17	23	6	12	6
18	Trash Pandas	2	2	0	0	0	0	0	0	9	3	6	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	5	1	4	4	1.000	9	16	25	0	0	1	5	3	0	68	20	19	29	0	54	14	2	52	10	1	10.00%	1	0	100.00%	0	1023	2039	50.17%	1058	2094	50.53%	513	938	54.69%	47	31	46	15	26	13
19	Warheads	4	2	2	0	0	0	0	0	12	10	2	2	1	1	0	0	0	0	0	7	6	1	2	1	1	0	0	0	0	0	5	4	1	4	0.500	12	20	32	0	0	5	2	5	0	127	44	34	49	0	114	36	39	65	4	0	0.00%	17	3	82.35%	0	1023	2039	50.17%	1058	2094	50.53%	513	938	54.69%	91	62	100	28	48	24
20	Wuhan Clan	4	1	0	0	1	0	1	1	13	11	2	2	0	0	0	1	0	0	1	7	7	0	2	1	0	0	0	0	1	0	6	4	2	7	0.875	13	20	33	0	0	2	4	5	3	149	44	36	63	12	146	40	39	79	17	7	41.18%	12	5	58.33%	1	1023	2039	50.17%	1058	2094	50.53%	513	938	54.69%	100	68	92	29	57	30
	Total	63	27	20	0	6	4	3	3	184	161	23	33	15	9	0	5	2	1	1	100	82	18	30	12	11	0	1	2	2	2	84	79	5	79	0.627	184	317	501	5	3	40	83	52	10	2193	713	736	709	58	1933	582	443	1251	190	37	19.47%	177	27	84.75%	2	1023	2039	50.17%	1058	2094	50.53%	513	938	54.69%	1469	1001	1504	478	852	421
	_Since Last GM Reset	63	27	20	0	6	4	3	3	184	161	23	33	15	9	0	5	2	1	1	100	82	18	30	12	11	0	1	2	2	2	84	79	5	79	0.627	184	317	501	5	3	40	83	52	10	2193	713	736	709	58	1933	582	443	1251	190	37	19.47%	177	27	84.75%	2	1023	2039	50.17%	1058	2094	50.53%	513	938	54.69%	1469	1001	1504	478	852	421
	_Vs Conference	45	19	15	0	4	2	3	2	125	109	16	24	12	6	0	4	0	1	1	72	53	19	21	7	9	0	0	2	2	1	53	56	-3	56	0.622	125	214	339	3	2	29	52	37	8	1531	497	521	487	46	1330	388	318	870	129	26	20.16%	125	19	84.80%	2	1023	2039	50.17%	1058	2094	50.53%	513	938	54.69%	1055	715	1054	344	623	310
	_Vs Division	34	11	15	0	3	2	2	1	82	84	-2	17	7	6	0	3	0	1	0	44	34	10	17	4	9	0	0	2	1	1	38	50	-12	35	0.515	82	146	228	3	2	21	34	22	5	1082	351	374	337	34	967	293	231	671	92	11	11.96%	91	11	87.91%	1	1023	2039	50.17%	1058	2094	50.53%	513	938	54.69%	787	526	797	266	478	236

			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
63	79	W5	184	317	501	2193	1933	582	443	1251	5	3

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
63	27	20	6	4	3	3	184	161

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
33	15	9	5	2	1	1	100	82

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
30	12	11	1	2	2	2	84	79

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
7	2	0	0	1	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
190	37	19.47%	177	27	84.75%	2

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
713	736	709	58	40	83	52	10

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
1023	2039	50.17%	1058	2094	50.53%	513	938	54.69%

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
1469	1001	1504	478	852	421

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
2 - 2023-10-15	9	Mariners	1	Flyers	4	AL			Sommaire du match
3 - 2023-10-15	19	Flyers	1	Mariners	2	BW			Sommaire du match
5 - 2023-10-15	28	Mariners	2	Fletushkas	3	AL	X		Sommaire du match
7 - 2023-10-16	40	Oilers	1	Mariners	0	BL			Sommaire du match
10 - 2023-10-16	50	Riots	3	Mariners	1	BL			Sommaire du match
12 - 2023-10-16	58	Mariners	2	Oilers	1	AW			Sommaire du match
15 - 2023-10-17	72	Fletushkas	3	Mariners	4	BW	X		Sommaire du match
17 - 2023-10-17	87	Mariners	3	Riots	4	AL			Sommaire du match
18 - 2023-10-17	90	Mariners	3	Warheads	1	AW			Sommaire du match
20 - 2023-10-18	104	Warheads	2	Mariners	6	BW			Sommaire du match
23 - 2023-10-18	118	Oilers	4	Mariners	5	BW	X	X	Sommaire du match
25 - 2023-10-19	129	Mariners	1	Fletushkas	3	AL			Sommaire du match
27 - 2023-10-19	140	Mariners	2	Flyers	3	AL	X	X	Sommaire du match
29 - 2023-10-19	147	Fletushkas	1	Mariners	5	BW			Sommaire du match
31 - 2023-10-20	157	Mariners	6	Oilers	4	AW			Sommaire du match
33 - 2023-10-20	171	Chiefs	2	Mariners	4	BW			Sommaire du match
35 - 2023-10-20	182	Flyers	3	Mariners	2	BL			Sommaire du match
36 - 2023-10-20	190	Mariners	1	Flyers	2	AL			Sommaire du match
38 - 2023-10-21	201	Mariners	2	Oilers	6	AL			Sommaire du match
40 - 2023-10-21	214	Fletushkas	1	Mariners	2	BW			Sommaire du match
42 - 2023-10-21	225	Mariners	5	Trash Pandas	1	AW			Sommaire du match
44 - 2023-10-22	233	Oilers	1	Mariners	2	BW			Sommaire du match
48 - 2023-10-22	251	Flyers	1	Mariners	2	BW	X		Sommaire du match
51 - 2023-10-23	268	Wuhan Clan	2	Mariners	3	BW	X		Sommaire du match
53 - 2023-10-23	278	Mariners	3	Jets	4	AL	X	X	Sommaire du match
55 - 2023-10-24	286	Mariners	1	Fletushkas	2	AL	X		Sommaire du match
56 - 2023-10-24	295	Chiefs	3	Mariners	4	BW			Sommaire du match
59 - 2023-10-24	312	Warheads	4	Mariners	1	BL			Sommaire du match
61 - 2023-10-25	323	Mariners	4	Shitbirds	3	AW	X		Sommaire du match
64 - 2023-10-25	335	Riots	3	Mariners	5	BW			Sommaire du match
66 - 2023-10-25	346	Mariners	4	Flyers	0	AW			Sommaire du match
68 - 2023-10-26	354	Mariners	2	Oilers	4	AL			Sommaire du match
69 - 2023-10-26	362	Phantoms	4	Mariners	2	BL			Sommaire du match
72 - 2023-10-26	376	Bunnies	4	Mariners	2	BL			Sommaire du match
74 - 2023-10-27	391	Mariners	2	Riots	4	AL			Sommaire du match
76 - 2023-10-27	399	Mariners	3	Gladiators	5	AL			Sommaire du match
77 - 2023-10-27	404	Apsos	3	Mariners	4	BW	X		Sommaire du match
80 - 2023-10-28	421	Mariners	5	Cunts	3	AW			Sommaire du match
81 - 2023-10-28	424	Mariners	2	Warheads	3	AL			Sommaire du match
84 - 2023-10-28	435	Oilers	3	Mariners	2	BL			Sommaire du match
86 - 2023-10-29	443	Mariners	4	Wuhan Clan	3	AW			Sommaire du match
87 - 2023-10-29	453	Fletushkas	0	Mariners	1	BW	X		Sommaire du match
91 - 2023-10-30	470	Cunts	1	Mariners	4	BW			Sommaire du match
93 - 2023-10-30	479	Mariners	3	Jets	0	AW			Sommaire du match
95 - 2023-10-30	490	Gladiators	5	Mariners	4	BL	X		Sommaire du match
98 - 2023-10-31	501	Mariners	5	Chiefs	1	AW			Sommaire du match
100 - 2023-10-31	515	Chiefs	2	Mariners	5	BW			Sommaire du match
102 - 2023-10-31	524	Mariners	2	Fletushkas	5	AL			Sommaire du match
105 - 2023-11-01	537	Wuhan Clan	5	Mariners	4	BL	X	X	Sommaire du match
109 - 2023-11-02	554	Mongoloids	3	Mariners	4	BW			Sommaire du match
111 - 2023-11-02	567	Mariners	2	Riots	1	AW	X	X	Sommaire du match
113 - 2023-11-02	575	Fucksticks	5	Mariners	4	BL	X		Sommaire du match
114 - 2023-11-02	580	Mariners	1	Bunnies	4	AL			Sommaire du match
117 - 2023-11-03	599	Riots	2	Mariners	1	BL			Sommaire du match
120 - 2023-11-03	617	Mariners	2	Wuhan Clan	1	AW	X	X	Sommaire du match
121 - 2023-11-04	621	Giants	2	Mariners	4	BW			Sommaire du match
126 - 2023-11-04	641	Shitbirds	1	Mariners	2	BW			Sommaire du match
131 - 2023-11-05	662	Aces	4	Mariners	2	BL			Sommaire du match
132 - 2023-11-05	672	Mariners	4	Fucksticks	1	AW			Sommaire du match
135 - 2023-11-06	684	Flyers	1	Mariners	3	BW			Sommaire du match
137 - 2023-11-06	696	Mariners	3	Steamers	2	AW			Sommaire du match
140 - 2023-11-07	706	Trash Pandas	2	Mariners	4	BW			Sommaire du match
142 - 2023-11-07	719	Mariners	4	Mongoloids	1	AW			Sommaire du match
143 - 2023-11-07	728	Trash Pandas	-	Mariners	-
147 - 2023-11-08	745	Mariners	-	Riots	-
148 - 2023-11-08	752	Warheads	-	Mariners	-
151 - 2023-11-09	766	Mariners	-	Apsos	-
152 - 2023-11-09	772	Warheads	-	Mariners	-
155 - 2023-11-09	789	Jets	-	Mariners	-
157 - 2023-11-10	796	Mariners	-	Trash Pandas	-
162 - 2023-11-10	816	Steamers	-	Mariners	-
163 - 2023-11-11	817	Mariners	-	Meltdown	-
166 - 2023-11-11	834	Mariners	-	Giants	-
167 - 2023-11-11	838	Mariners	-	Meltdown	-
168 - 2023-11-11	840	Mongoloids	-	Mariners	-
169 - 2023-11-12	846	Mariners	-	Aces	-
172 - 2023-11-12	861	Riots	-	Mariners	-
173 - 2023-11-12	864	Mariners	-	Warheads	-
174 - 2023-11-12	870	Mariners	-	Giants	-
177 - 2023-11-13	882	Mariners	-	Warheads	-
178 - 2023-11-13	884	Mariners	-	Phantoms	-
180 - 2023-11-13	892	Meltdown	-	Mariners	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des billets	100	55	30	20	200
Assistance	152,500	156,721	63,735	126,163	32,290
Attendance PCT	77.02%	94.98%	96.57%	95.58%	97.85%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
8	16103 - 89.46%	1,474,792$	48,668,151$	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
76,431,576$	94,197,500$	92,947,500$	0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
94,197,500$	76,431,576$	0$	22	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
11,798,340$	41	514,740$	21,104,340$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
21,269,734$	181,028,575$	171,557,181$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
94,935,750$	27,064,250$	122,000,000$	5,435,750$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Ricky Cumalot	AGE:29	PO:1	OV:88
Jeff Skinner	AGE:31	PO:82	OV:87
Patrik Laine	AGE:25	PO:81	OV:87
Adrian Kempe	AGE:27	PO:85	OV:85
Mats Zuccarello	AGE:36	PO:80	OV:85
Filip Chytil	AGE:24	PO:76	OV:77
Nicholas Paul (R)	AGE:29	PO:74	OV:76
James van Riemsdyk	AGE:34	PO:72	OV:75
Tim Gettinger (R)	AGE:26	PO:64	OV:73
Will Cuylle (R)	AGE:21	PO:66	OV:72
Jonatan Berggren (R)	AGE:23	PO:70	OV:70

Mika Zibanejad	AGE:30	PO:88	OV:90
Adrian Kempe	AGE:27	PO:85	OV:85
Sean Monahan	AGE:29	PO:77	OV:80
Filip Chytil	AGE:24	PO:76	OV:77
Nicholas Paul (R)	AGE:29	PO:74	OV:76
Jonatan Berggren (R)	AGE:23	PO:70	OV:70
Jamieson Rees (R)	AGE:23	PO:62	OV:61

Ricky Cumalot	AGE:29	PO:1	OV:88
Patrik Laine	AGE:25	PO:81	OV:87
Adrian Kempe	AGE:27	PO:85	OV:85
Mats Zuccarello	AGE:36	PO:80	OV:85
James van Riemsdyk	AGE:34	PO:72	OV:75
Jesper Fast	AGE:32	PO:70	OV:70
Jonatan Berggren (R)	AGE:23	PO:70	OV:70

Défense #1

Défense #2

Gardien

Ryan Graves	AGE:28	PO:67	OV:81
Marc Staal	AGE:37	PO:65	OV:80
Brady Skjei	AGE:30	PO:71	OV:78
Christopher Tanev	AGE:34	PO:65	OV:78
Nikita Zaitsev	AGE:32	PO:63	OV:78
Logan Stanley	AGE:25	PO:61	OV:78
Brandon Montour	AGE:30	PO:75	OV:77

Cal Foote (R)	AGE:25	PO:60	OV:75
Erik Brannstrom	AGE:24	PO:64	OV:72
Matthew Robertson (R)	AGE:23	PO:56	OV:70
Nils Lundkvist	AGE:23	PO:61	OV:68
Yan Kuznetsov (R)	AGE:22	PO:54	OV:68
Axel Andersson (R)	AGE:24	PO:51	OV:62

Linus Ullmark	AGE:30	PO:93	OV:95
Anton Forsberg	AGE:31	PO:68	OV:69
Olivier Rodrigue (R)	AGE:23	PO:55	OV:57

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	Lien
Adam Sykora	Mariners
Brett Berard	Mariners
Cam Atkinson	Mariners	Lien
Eric Pohlkamp	Mariners
Jack HughesD	Mariners
Jan Bednar	Mariners
Karl Kenriksson	Mariners
Kasper Simontaival	Mariners
Mark Pysyk	Mariners	Lien
Michael DiPietro	Mariners	Lien
Milos Roman	Mariners
Niklas Kokko	Mariners
Oliver Tarnstrom	Mariners
Oskar Pettersson	Mariners
Riley Heidt	Mariners
Roni Hirvonen	Mariners
Serron Noel	Mariners	Lien
Simon Robertson	Mariners
Topi Niemela	Mariners

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6
2024			GDA		GDA [CON: ULS]
2025	GDA	GDA	GDA		GDA	GDA
2026	GDA	GDA	GDA	GDA	GDA	GDA
2027	GDA	GDA	GDA	GDA	GDA	GDA
2028	GDA	GDA	GDA	GDA	GDA	GDA

Mariners Historique de transactions

[2024-04-07 10:52:44 AM] - Marc Staal has been selected as assistant for Mariners.
[2024-04-07 10:52:44 AM] - Mika Zibanejad is no longer as assistant for Mariners.
[2024-04-07 10:52:44 AM] - Mika Zibanejad has been selected as captain for Mariners.
[2024-04-07 10:52:44 AM] - Marc Staal is no longer captain for Mariners.
[2024-03-24 11:20:29 AM] - Mika Zibanejad has been selected as assistant for Mariners.
[2024-03-24 11:20:29 AM] - Marc Staal is no longer as assistant for Mariners.
[2024-03-24 11:20:29 AM] - Marc Staal has been selected as captain for Mariners.
[2024-03-24 11:20:29 AM] - Unknown Player is no longer captain for Mariners.
[2024-03-10 7:23:23 AM] - TRADE : From Trash Pandas to Mariners : Sean Monahan (80).
[2024-03-10 7:23:23 AM] - TRADE : From Mariners to Trash Pandas : Anze Kopitar (85), Y:2024-RND:6-GDA.
[2024-03-10 7:21:30 AM] - TRADE : From Mariners to Flyers : Ethan Bear (74), Y:2024-RND:2-GDA.
[2024-03-10 7:21:30 AM] - TRADE : From Flyers to Mariners : Christopher Tanev (78).
[2023-10-29 11:18:59 AM] - TRADE : From Shitbirds to Mariners : Erik Brannstrom (72).
[2023-10-29 10:00:43 AM] - Jeff Skinner has been selected as assistant for Mariners.
[2023-10-29 10:00:43 AM] - Anze Kopitar is no longer as assistant for Mariners.
[2023-10-29 10:00:43 AM] - Anze Kopitar has been selected as captain for Mariners.
[2023-10-29 10:00:43 AM] - Mika Zibanejad is no longer captain for Mariners.
[2023-10-22 12:00:39 PM] - Anze Kopitar has been selected as assistant for Mariners.
[2023-10-22 12:00:39 PM] - Mats Zuccarello is no longer as assistant for Mariners.
[2023-10-22 11:08:02 AM] - TRADE : From Apsos to Mariners : James van Riemsdyk (75).
[2023-10-18 2:29:39 PM] - TRADE : From Mariners to Fucksticks : Y:2025-RND:4-GDA.
[2023-10-18 2:29:39 PM] - TRADE : From Fucksticks to Mariners : Riley Heidt (P).
[2023-10-04 10:05:16 AM] - Cal Foote was added to Mariners.
[2023-10-04 10:05:00 AM] - Tim Gettinger was added to Mariners.
[2023-10-04 10:04:43 AM] - Nicholas Paul was added to Mariners.
[2023-10-04 10:02:32 AM] - Tarmo Reunanen has been deleted from Mariners.
[2023-10-04 10:02:24 AM] - Brandon Crawley has been deleted from Mariners.
[2023-10-04 10:01:57 AM] - Mike Reilly was released.
[2023-10-04 10:01:57 AM] - Mariners paid $0 to release Mike Reilly.
[2023-10-04 10:01:37 AM] - William Lagesson was released.
[2023-10-04 10:01:37 AM] - Mariners paid $0 to release William Lagesson.
[2023-09-30 2:06:54 PM] - Matthew Robertson was added to Mariners.
[2023-09-24 8:30:49 AM] - TRADE : From Mariners to Riots : Y:2023-RND:4-GDA.
[2023-09-24 8:30:49 AM] - TRADE : From Riots to Mariners : Callan Foote (P).
[2023-09-24 8:14:32 AM] - Eric Pohlkamp has been added to Mariners.
[2023-09-23 9:17:24 AM] - TRADE : From Trash Pandas to Mariners : Anze Kopitar (85).
[2023-09-23 9:17:24 AM] - TRADE : From Mariners to Trash Pandas : Ryan Strome (76), Y:2023-RND:5-GDA, Y:2024-RND:4-GDA.
[2023-07-04 8:30:12 AM] - Brett Berard was added to Mariners.
[2023-07-04 8:30:12 AM] - Niklas Kokko was added to Mariners.
[2023-07-04 8:30:12 AM] - Oskar Pettersson was added to Mariners.
[2023-07-04 8:30:12 AM] - Will Cuylle was added to Mariners.

[2024-04-14 1:04:11 PM] Pro Game #719 - Adrian Kempe from Mariners has scored a Hat Trick!
[2024-04-14 11:43:09 AM] Successfully loaded Mariners lines done with STHS Client - 3.4.1.1
[2024-04-07 12:05:43 PM] Last 7 Days Pro Star : 1 - Linus Ullmark of Mariners (0.964) / 2 - Logan Thompson of Warheads (0.974) / 3 - Thatcher Demko of Mongoloids (0.962)
[2024-04-07 10:52:44 AM] Successfully loaded Mariners lines done with STHS Client - 3.4.1.1
[2024-03-24 11:20:29 AM] Successfully loaded Mariners lines done with STHS Client - 3.4.1.1
[2024-03-10 11:36:16 AM] Successfully loaded Mariners lines done with STHS Client - 3.4.1.1
[2024-03-10 7:23:23 AM] TRADE : From Trash Pandas to Mariners : Sean Monahan (80).
[2024-03-10 7:23:23 AM] TRADE : From Mariners to Trash Pandas : Anze Kopitar (85), Y:2024-RND:6-GDA.
[2024-03-10 7:21:30 AM] TRADE : From Mariners to Flyers : Ethan Bear (74), Y:2024-RND:2-GDA.
[2024-03-10 7:21:30 AM] TRADE : From Flyers to Mariners : Christopher Tanev (78).
[2024-02-25 11:18:25 AM] Successfully loaded Mariners lines done with STHS Client - 3.4.1.1
[2024-02-11 11:45:36 AM] Successfully loaded Mariners lines done with STHS Client - 3.3.5.5
[2024-02-04 11:55:16 AM] Last 7 Days Pro Star : 1 - Velyki Hospador of Riots (3-6-9) / 2 - Harry Polsmokr of Fletushkas (4-3-7) / 3 - Linus Ullmark of Mariners (0.962)
[2024-02-04 10:02:35 AM] Successfully loaded Mariners lines done with STHS Client - 3.3.5.5
[2024-01-28 12:16:39 PM] Erik Brannstrom from Mariners is back from Strained Right Elbow Injury.
[2024-01-28 12:14:55 PM] Auto Lines Partial Function has been run for Mariners.
[2024-01-28 12:14:35 PM] Mariners roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2024-01-28 12:10:11 PM] Game 453 - Erik Brannstrom from Mariners is injured (Strained Right Elbow) and is out for 1 week.
[2024-01-28 12:08:47 PM] Auto Lines Partial Function has been run for Mariners.

Pas de blessure ou de suspension.

Mariners Leaders statistiques (saison régulière)

Afficher ou masquer des colonnes

#	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	Bo Horvat	209	86	120	206	52	46	159	493	823	10.45%	41	4287	20.52	9	26	35	132	1	1	2	11	13	8	57.08	2	0.96	7	13
2	Rod Tapper	207	58	88	146	-3	157	521	319	630	9.21%	58	3413	16.49	14	19	33	95	0	0	0	4	10	5	48.29	1	0.86	0	4
3	Mikko Rantanen	145	50	80	130	-12	10	88	230	581	8.61%	13	3517	24.26	5	23	28	60	1	2	3	13	9	6	43.61	1	0.74	2	8
4	Brock Boeser	208	56	58	114	-15	40	150	285	592	9.46%	23	3750	18.03	5	8	13	47	1	0	1	10	12	2	29.49	0	0.61	1	6
5	Luke Glendening	209	39	62	101	24	90	294	416	374	10.43%	57	3527	16.88	3	6	9	47	0	0	0	0	5	2	55.95	0	0.57	0	2

Mariners Leaders des statistiques des gardiens (saison régulière)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Darcy Kuemper	129	62	50	13	0.916	2.74	7348	20	4	335	3982	441	2	1	0.711	38
2	Alex Nedeljkovic	85	42	30	7	0.905	3.00	4824	8	0	241	2544	0	1	5	0.600	5
3	Pekka Rinne	13	4	3	0	0.880	3.84	563	0	0	36	299	0	0	0	0.00%	0

Mariners Statistiques de l'Équipe de Carrière

Afficher ou masquer des colonnes

	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
2020	62	22	29	0	4	0	2	5	169	205	-36	31	13	12	0	3	0	2	1	103	90	13	31	9	17	0	1	0	0	4	66	115	-49	61	169	289	458	1	2	65	51	47	9	1892	650	625	595	43	2047	636	490	1238	171	29	16.96%	187	35	81.28%	2	1059	1947	54.39%	973	1973	49.32%	543	996	54.52%	1466	1003	1452	461	841	420
2021	82	38	30	0	6	7	0	1	253	246	7	41	22	12	0	3	3	0	1	128	112	16	41	16	18	0	3	4	0	0	125	134	-9	96	253	456	709	5	0	86	86	75	7	2626	882	888	829	32	2590	767	550	1600	204	36	17.65%	229	46	79.91%	2	1384	2756	50.22%	1320	2759	47.84%	633	1285	49.26%	1928	1357	2001	586	1035	512
2023	65	27	23	0	5	5	3	2	173	169	4	33	14	11	0	2	4	2	0	86	78	8	32	13	12	0	3	1	1	2	87	91	-4	77	173	307	480	0	2	53	64	48	9	1841	545	635	633	42	2167	637	493	1428	173	30	17.34%	215	41	80.93%	1	896	1958	45.76%	1015	2212	45.89%	435	935	46.52%	1459	969	1593	499	901	444
Total Saison régulière	207	83	75	0	16	16	8	9	580	575	5	105	46	35	0	8	7	3	6	313	291	22	102	37	40	0	8	9	5	3	267	284	-17	239	580	997	1577	9	9	173	203	180	27	6713	2200	2229	2182	159	6445	1957	1326	4004	577	108	18.72%	545	99	81.83%	6	3336	6734	49.54%	3339	6867	48.62%	1611	3126	51.54%	4802	3298	5012	1556	2748	1345
Séries éliminatoires
2021	12	5	7	0	0	0	0	0	38	33	5	5	2	3	0	0	0	0	0	14	12	2	7	3	4	0	0	0	0	0	24	21	3	10	38	69	107	1	1	10	14	14	0	389	130	119	130	10	434	110	79	215	22	2	9.09%	34	6	82.35%	1	230	439	52.39%	239	433	55.20%	109	198	55.05%	287	201	305	86	157	78
2021	12	5	7	0	0	0	0	0	38	33	5	5	2	3	0	0	0	0	0	14	12	2	7	3	4	0	0	0	0	0	24	21	3	10	38	69	107	1	1	10	14	14	0	389	130	119	130	10	434	110	79	215	22	2	9.09%	34	6	82.35%	1	230	439	52.39%	239	433	55.20%	109	198	55.05%	287	201	305	86	157	78
Total Séries éliminatoires	22	6	16	0	0	0	0	0	40	62	-22	10	2	8	0	0	0	0	0	16	30	-14	12	4	8	0	0	0	0	0	24	32	-8	12	40	72	112	0	0	18	8	14	0	736	256	202	278	0	662	218	110	418	66	6	9.09%	48	8	83.33%	0	412	818	50.37%	358	734	48.77%	168	318	52.83%	519	366	525	158	274	134

Mariners Leaders statistiques (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20
1	Brock Boeser	48	20	32	52	40	0	28	60	160	12.50%	0	866	18.05	0	4	0	4	4	8	4	28.00	0	1.20
2	Oliver Ekman-Larsson	48	8	36	44	4	52	48	60	40	20.00%	44	971	20.24	4	0	0	0	0	0	0	0.00%	0	0.91
3	Mikko Rantanen	48	24	20	44	20	32	40	64	224	10.71%	4	1205	25.11	24	0	0	0	0	0	4	33.77	4	0.73
4	Luke Glendening	48	16	20	36	32	8	76	112	120	13.33%	12	790	16.47	0	0	0	0	0	0	0	61.09	0	0.91
5	Rod Tapper	48	16	20	36	8	32	112	72	148	10.81%	12	821	17.12	24	0	4	4	0	4	0	50.00	0	0.88

Mariners Leaders des statistiques des gardiens (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Alex Nedeljkovic	48	20	16	4	0.933	2.34	2570	0	4	100	1484	0	0	4	0.00%	0
2	Darcy Kuemper	8	0	8	0	0.887	3.97	423	0	0	28	248	0	0	0	0.00%	0

	Mariners
	GP: 63 \| W: 36 \| L: 20 \| OTL: 7 \| P: 79 GF: 184 \| GA: 161 \| PP%: 19.47% \| PK%: 84.75% DG: Dave Zan \| Morale : 90 \| Moyenne d’équipe : 80 Prochains matchs #728 vs Trash Pandas