Seattle Kraken
Domicile
Formation
Statistiques joueurs
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Statistiques de l'Équipe de Carrière

Centre de jeu
	San Diego Spartans 4-0-0, 8pts	3	FINAL	0	Sudbury Wolves 2-1-0, 4pts

Team Stats
W4	Séquence	W1
1-0-0	Fiche domicile	1-1-0
3-0-0	Fiche domicile	1-0-0
4-0-0	Derniers 10 matchs	2-1-0
4.00	Buts par match	2.33
1.00	Buts contre par match	2.67
5.56%	Pourcentage en avantage numérique	20.00%
85.71%	Pourcentage en désavantage numérique	80.00%

Sudbury Wolves
2-1-0, 4pts

FINAL

Columbus River Dragons
2-2-0, 4pts

Team Stats
W1	Séquence	L1
1-1-0	Fiche domicile	0-2-0
1-0-0	Fiche domicile	2-0-0
2-1-0	Derniers 10 matchs	2-2-0
2.33	Buts par match	3.50
2.67	Buts contre par match	3.25
20.00%	Pourcentage en avantage numérique	12.50%
80.00%	Pourcentage en désavantage numérique	81.25%

O'Fallon Madcats
0-3-1, 1pts

Jour 6

Sudbury Wolves
2-1-0, 4pts

Statistiques d’équipe
L3	Séquence	W1
0-1-1	Fiche domicile	1-1-0
0-2-0	Fiche visiteur	1-0-0
0-3-1	10 derniers matchs	2-1-0
1.00	Buts par match	2.33
3.25	Buts contre par match	2.33
27.27%	Pourcentage en avantage numérique	20.00%
75.00%	Pourcentage en désavantage numérique	80.00%

Columbus River Dragons
2-2-0, 4pts

Jour 9

Sudbury Wolves
2-1-0, 4pts

Statistiques d’équipe
L1	Séquence	W1
0-2-0	Fiche domicile	1-1-0
2-0-0	Fiche visiteur	1-0-0
2-2-0	10 derniers matchs	2-1-0
3.50	Buts par match	2.33
3.25	Buts contre par match	2.33
12.50%	Pourcentage en avantage numérique	20.00%
81.25%	Pourcentage en désavantage numérique	80.00%

Sudbury Wolves
2-1-0, 4pts

Jour 10

San Diego Spartans
4-0-0, 8pts

Statistiques d’équipe
W1	Séquence	W4
1-1-0	Fiche domicile	1-0-0
1-0-0	Fiche visiteur	3-0-0
2-1-0	10 derniers matchs	4-0-0
2.33	Buts par match	4.00
2.67	Buts contre par match	4.00
20.00%	Pourcentage en avantage numérique	5.56%
80.00%	Pourcentage en désavantage numérique	85.71%

Meneurs d'équipe
	Buts David Kampf 2	Passes David Kampf 2

	Points David Kampf 4	Plus/Moins Will Cuylle 4

	Victoires Joel Daccord 2	Pourcentage d’arrêts Joel Daccord 0.889

Statistiques d’équipe
Buts pour 7 2.33 GFG	Tirs pour 48 16.00 Avg	Pourcentage en avantage numérique 20.0% 1 GF	Début de zone offensive 35.8%
Buts contre 8 2.67 GAA	Tirs contre 72 24.00 Avg	Pourcentage en désavantage numérique 80.0%% 2 GA	Début de la zone défensive 40.9%

Informations de l'équipe
	Directeur général	Tyler Villeneuve
	Entraîneur	Daniel Sedin
	Division	Adams
	Conférence	West
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Capacité	3,000
	Assistance	0
	Billets de saison	300
Informations de la formation
	Équipe Pro	36
	Équipe Mineure	20
	Limite contact	56 / 250
	Espoirs	23
Historique d'équipe
	Saison actuelle	2-1-0 (4PTS)
	Historique	36-36-11 (0.434%)
	Apparitions en séries éliminatoires	0
	Historique en séries éliminatoires (W-L)	0 - 0
	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	Ilya Mikheyev	0			X		100.00	52	35	98	81	73	78	94	66	55	66	62	68	73	68	74	0	43	70	0	30	5	841,667$
2	Luke Evangelista	0			X		100.00	53	35	93	82	68	77	97	66	55	68	66	65	74	56	68	0	38	70	0	27	5	797,500$
3	David Kampf	0	X				100.00	60	35	93	78	74	76	94	59	78	61	60	68	70	64	71	0	43	68	0	30	7	2,400,000$
4	Noah Cates	0		X			100.00	63	35	99	79	61	77	71	64	64	64	60	77	71	48	64	0	44	68	0	26	3	2,625,000$
5	Will Cuylle (R)	0		X			100.00	82	55	82	78	85	71	98	56	55	59	64	72	70	45	55	0	48	68	0	23	5	828,333$
6	Jakub Lauko (R)	0		X			100.00	81	49	86	76	80	69	72	54	55	61	56	75	67	45	58	0	44	66	0	25	3	787,500$
7	Filip Chytil	0	X	X			100.00	44	35	89	83	76	82	60	71	55	73	47	60	69	48	66	0	48	66	0	25	7	4,437,500$
8	A.J. Greer	0		X			100.00	68	56	84	76	82	66	71	51	55	59	60	74	67	60	65	0	46	66	0	28	3	850,000$
9	Brendan Brisson (R)	0		X	X		100.00	51	35	96	81	69	74	60	60	55	63	54	61	68	45	58	0	46	63	0	23	5	925,000$
10	Xavier Bourgault (R)	0	X				100.00	62	40	70	69	59	57	57	62	42	62	58	62	63	50	50	0	47	60	0	22	9	775,000$
11	Rasmus Kupari (R)	0	X	X	X		100.00	53	35	95	75	77	67	60	50	63	53	51	66	64	45	57	0	47	60	0	25	7	2,500,000$
12	Danila Klimovich (R)	0			X		100.00	65	73	57	57	65	47	69	62	46	64	59	51	53	45	45	0	47	58	0	22	5	789,167$
13	Nikita Alexandrov (R)	0		X	X		100.00	53	35	95	75	68	66	60	50	55	50	47	61	62	45	57	0	48	58	0	24	5	816,667$
14	Zack Ostapchuk (R)	0	X				100.00	60	35	99	75	80	70	60	50	55	41	41	59	60	45	52	0	43	57	0	21	3	870,000$
15	Josh Manson	0				X	100.00	90	62	70	82	88	86	92	66	40	67	62	97	63	80	84	0	44	84	0	33	5	5,800,000$
16	Seth Jones	0				X	100.00	68	35	86	88	81	99	81	78	40	72	64	88	67	68	85	0	44	82	0	30	9	9,500,000$
17	Vladislav Kolyachonok (R)	0				X	100.00	40	35	89	82	71	74	60	62	40	63	51	57	58	45	58	0	41	62	0	23	5	925,000$
18	Jack Rathbone (R)	0				X	100.00	53	51	62	48	63	59	70	62	59	64	67	64	41	48	48	0	49	60	0	25	3	896,250$
19	Drew Helleson (R)	0				X	100.00	74	50	62	69	59	51	58	52	41	44	48	44	57	45	45	0	49	53	0	24	5	925,000$
20	Maveric Lamoureux (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	40	50	0	21	9	775,000$
Rayé
1	Justin Sourdif (R)	0			X		100.00	49	35	99	74	70	66	60	50	55	41	41	56	60	45	53	0	43	55	0	23	5	847,500$
2	Ryan Winterton (R)	0	X				100.00	47	35	99	75	71	67	60	50	55	41	41	56	60	45	51	0	37	55	0	21	5	775,000$
3	Gage Goncalves (R)	0	X				100.00	49	35	35	74	66	69	60	50	55	41	41	55	60	45	56	0	43	54	0	24	1	775,000$
4	Alexander Kisakov (R)	0		X			100.00	67	77	50	47	54	56	66	62	42	53	51	54	40	45	45	0	35	54	0	22	5	859,167$
5	David Goyette (R)	0	X				100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	44	50	0	21	9	775,000$
6	Kocha Delic (R)	0	X				100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	41	50	0	21	9	775,000$
7	Francesco Pinelli	0		X	X		100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	43	50	0	21	9	775,000$
8	Sasha Pastujov (R)	0		X	X		100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	39	50	0	21	9	775,000$
9	Aiden Fink (R)	0	X	X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	42	1	0	20	9	775,000$
10	Luca Pinelli (R)	0	X	X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	41	1	0	20	9	775,000$
11	Vadim Moroz (R)	0	X	X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	37	1	0	21	9	775,000$
12	Andrew Peeke	0				X	70.89	71	35	90	80	82	83	60	62	40	63	48	75	57	52	68	0	34	71	0	27	5	2,750,000$
13	Tomas Hamara (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	44	50	0	21	9	775,000$
14	Michael Benning (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	39	50	0	23	9	775,000$

	MOYENNE D’ÉQUIPE						99.14	53	41	69	63	61	60	60	52	47	51	49	56	54	46	53	0	43	55

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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	Joel Daccord	0	100.00	89	91	93	89	88	91	90	87	89	90	79	60	72	0	44	87	0	28	3	1,200,000$
2	Arturs Silovs (R)	0	100.00	81	65	72	91	70	78	73	69	70	76	62	45	45	0	42	71	0	24	7	2,250,000$
Rayé

	MOYENNE D’ÉQUIPE		100.00	85	78	83	90	79	85	82	78	80	83	71	53	59	0	43	79

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Daniel Sedin	80	80	80	80	80	80	80	SWE	46	6	1,000,000$

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	FO%	FOT	GA	TA	P/20	S1	S2	S3
1	David Kampf	Sudbury Wolves (SEA)	C	3	2	2	4	0	0	2	9	9	2	4	22.22%	2	71	23.95	0	1	1	2	3	0	0	0	0	6	1	63.49%	63	2	2	1.11	1	0	0
2	Will Cuylle	Sudbury Wolves (SEA)	LW	3	2	1	3	4	4	3	4	3	1	4	66.67%	2	71	23.73	0	0	0	0	2	1	0	1	1	7	0	100.00%	2	3	1	0.84	0	2	0
3	Jakub Lauko	Sudbury Wolves (SEA)	LW	3	1	1	2	-2	2	5	4	3	0	2	33.33%	3	69	23.08	0	0	0	1	3	0	1	1	0	9	1	66.67%	18	0	1	0.58	1	0	0
4	Ilya Mikheyev	Sudbury Wolves (SEA)	RW	3	1	1	2	1	0	6	7	7	0	3	14.29%	1	60	20.07	0	0	0	0	2	0	0	0	0	0	0	40.00%	5	2	2	0.66	0	0	1
5	Josh Manson	Sudbury Wolves (SEA)	D	3	0	2	2	4	6	6	4	5	3	3	0%	4	81	27.28	0	0	0	0	3	0	1	1	0	6	0	0%	0	1	1	0.49	0	0	0
6	Seth Jones	Sudbury Wolves (SEA)	D	3	1	1	2	-3	0	1	3	2	3	2	50.00%	2	70	23.47	1	0	1	2	3	0	0	0	0	8	0	0%	0	2	2	0.57	0	0	1
7	Luke Evangelista	Sudbury Wolves (SEA)	RW	3	0	2	2	-1	0	3	9	4	1	4	0%	1	59	19.75	0	0	0	0	2	0	0	0	0	0	0	68.18%	22	0	0	0.68	0	0	0
8	Noah Cates	Sudbury Wolves (SEA)	LW	3	0	1	1	-2	2	7	7	10	3	7	0%	1	71	23.79	0	1	1	0	3	0	0	0	1	4	0	75.00%	8	2	0	0.28	0	0	0
9	Filip Chytil	Sudbury Wolves (SEA)	C/LW	3	0	0	0	-1	2	3	2	2	1	1	0%	0	43	14.43	0	0	0	0	0	0	0	0	0	3	0	50.00%	14	0	2	0	0	0	0
10	Andrew Peeke	Sudbury Wolves (SEA)	D	1	0	0	0	1	0	0	0	0	0	0	0%	2	14	14.25	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0
11	Jack Rathbone	Sudbury Wolves (SEA)	D	3	0	0	0	1	0	2	2	0	2	2	0%	0	30	10.32	0	0	0	0	0	0	0	0	0	2	0	0%	0	0	0	0	0	0	0
12	Vladislav Kolyachonok	Sudbury Wolves (SEA)	D	3	0	0	0	-2	4	4	6	1	2	0	0%	3	78	26.24	0	0	0	0	3	0	0	0	0	6	0	0%	0	1	3	0	0	0	0
13	Danila Klimovich	Sudbury Wolves (SEA)	RW	3	0	0	0	-2	0	5	2	1	0	0	0%	0	28	9.59	0	0	0	0	0	0	0	0	0	0	0	0%	1	0	0	0	0	0	0
14	Nikita Alexandrov	Sudbury Wolves (SEA)	LW/RW	3	0	0	0	0	0	2	0	0	0	0	0%	0	28	9.51	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0
15	A.J. Greer	Sudbury Wolves (SEA)	LW	3	0	0	0	0	0	2	0	0	0	0	0%	0	4	1.61	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0
16	Xavier Bourgault	Sudbury Wolves (SEA)	C	3	0	0	0	0	0	0	0	0	0	0	0%	1	13	4.48	0	0	0	0	0	0	0	0	0	0	0	50.00%	4	0	0	0	0	0	0
17	Brendan Brisson	Sudbury Wolves (SEA)	LW/RW	3	0	0	0	0	0	0	0	0	0	0	0%	0	3	1.09	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0
18	Zack Ostapchuk	Sudbury Wolves (SEA)	C	3	0	0	0	0	0	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	0	0	0	0
19	Maveric Lamoureux	Sudbury Wolves (SEA)	D	2	0	0	0	-1	0	0	0	0	1	0	0%	0	6	3.33	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0
20	Drew Helleson	Sudbury Wolves (SEA)	D	3	0	0	0	0	0	6	10	1	0	1	0%	0	73	24.51	0	0	0	0	2	0	0	0	0	7	0	0%	0	0	0	0	0	0	0
21	Rasmus Kupari	Sudbury Wolves (SEA)	C/LW/RW	3	0	0	0	0	0	0	0	0	0	0	0%	0	0	0.09	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				60	7	11	18	-3	20	57	69	48	19	33	14.58%	22	882	14.70	1	2	3	5	31	1	2	3	2	63	2	62.77%	137	13	14	0.41	2	2	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 gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Joel Daccord	Sudbury Wolves (SEA)	3	2	1	0	0.889	2.67	180	0	0	8	72	33	0	0	0	0	3	0	0	0	0
Statistiques d’équipe totales ou en moyenne			3	2	1	0	0.889	2.67	180	0	0	8	72	33	0	0		0	3	0	0	0	0

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	Pays	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Date de la Dernière Transaction	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire année 2	Salaire année 3	Salaire année 4	Salaire année 5	Salaire année 6	Salaire année 7	Salaire année 8	Salaire année 9	Salaire année 10	Plafond salarial année 2	Plafond salarial année 3	Plafond salarial année 4	Plafond salarial année 5	Plafond salarial année 6	Plafond salarial année 7	Plafond salarial année 8	Plafond salarial année 9	Plafond salarial année 10	Non-échange année 2	Non-échange année 3	Non-échange année 4	Non-échange année 5	Non-échange année 6	Non-échange année 7	Non-échange année 8	Non-échange année 9	Non-échange année 10	Lien
A.J. Greer	Sudbury Wolves (SEA)	LW	28	1996-12-14	CAN	No	208 Lbs	6 ft3	No	No	N/A		No	No	3	2024-07-02	False	False	Pro & Farm	850,000$	0$	0$	No	850,000$	850,000$	-	-	-	-	-	-	-	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien NHL
Aiden Fink	Sudbury Wolves (SEA)	C/LW/RW	20	2004-11-24	CAN	Yes	154 Lbs	5 ft9	No	No	Trade	2025-03-19	No	No	9		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	-	2$	2$	2$	2$	2$	2$	2$	2$	-	No	No	No	No	No	No	No	No	-
Alexander Kisakov	Sudbury Wolves (SEA)	LW	22	2002-11-01	RUS	Yes	150 Lbs	5 ft10	No	No	Trade	2024-07-10	No	No	5	2024-07-02	False	False	Pro & Farm	859,167$	0$	0$	No	859,167$	859,167$	859,167$	859,167$	-	-	-	-	-	859,167$	859,167$	859,167$	859,167$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Andrew Peeke	Sudbury Wolves (SEA)	D	27	1998-03-17	USA	No	210 Lbs	6 ft3	No	No	N/A		No	No	5	2024-07-02	False	False	Pro & Farm	2,750,000$	0$	0$	No	2,750,000$	2,750,000$	2,750,000$	2,750,000$	-	-	-	-	-	2,750,000$	2,750,000$	2,750,000$	2,750,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien / Lien NHL
Arturs Silovs	Sudbury Wolves (SEA)	G	24	2001-03-22	LVA	Yes	203 Lbs	6 ft4	No	No	N/A		No	No	7	2024-07-02	False	False	Pro & Farm	2,250,000$	0$	0$	No	2,250,000$	2,250,000$	2,250,000$	2,250,000$	2,250,000$	2,250,000$	-	-	-	2,250,000$	2,250,000$	2,250,000$	2,250,000$	2,250,000$	2,250,000$	-	-	-	No	No	No	No	No	No	-	-	-
Brendan Brisson	Sudbury Wolves (SEA)	LW/RW	23	2001-10-22	USA	Yes	185 Lbs	6 ft0	No	No	N/A		No	No	5	2024-07-02	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	925,000$	925,000$	-	-	-	-	-	925,000$	925,000$	925,000$	925,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Danila Klimovich	Sudbury Wolves (SEA)	RW	22	2003-01-09	BLR	Yes	202 Lbs	6 ft2	No	No	N/A		No	No	5	2024-07-02	False	False	Pro & Farm	789,167$	0$	0$	No	789,167$	789,167$	789,167$	789,167$	-	-	-	-	-	789,167$	789,167$	789,167$	789,167$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien
David Goyette	Sudbury Wolves (SEA)	C	21	2004-03-27	CAN	Yes	174 Lbs	5 ft11	No	No	N/A		No	No	9		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	-	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	No	No	No	No	No	No	No	No	-
David Kampf	Sudbury Wolves (SEA)	C	30	1995-01-12	CZE	No	197 Lbs	6 ft2	No	No	N/A		No	No	7	2024-07-02	False	False	Pro & Farm	2,400,000$	0$	0$	No	2,400,000$	2,400,000$	2,400,000$	2,400,000$	2,400,000$	2,400,000$	-	-	-	2,400,000$	2,400,000$	2,400,000$	2,400,000$	2,400,000$	2,400,000$	-	-	-	No	No	No	No	No	No	-	-	-	Lien / Lien NHL
Drew Helleson	Sudbury Wolves (SEA)	D	24	2001-03-26	USA	Yes	190 Lbs	6 ft3	No	No	N/A		No	No	5	2024-07-02	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	925,000$	925,000$	-	-	-	-	-	925,000$	925,000$	925,000$	925,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Filip Chytil	Sudbury Wolves (SEA)	C/LW	25	1999-09-05	CZE	No	204 Lbs	6 ft2	No	No	Trade	2024-10-20	No	No	7	2024-07-02	False	False	Pro & Farm	4,437,500$	0$	0$	No	4,437,500$	4,437,500$	4,437,500$	4,437,500$	4,437,500$	4,437,500$	-	-	-	4,437,500$	4,437,500$	4,437,500$	4,437,500$	4,437,500$	4,437,500$	-	-	-	No	No	No	No	No	No	-	-	-	Lien / Lien NHL
Francesco Pinelli	Sudbury Wolves (SEA)	LW/RW	21	2003-04-11	CAN	No	185 Lbs	5 ft11	No	No	Trade	2024-07-10	No	No	9		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	-	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	No	No	No	No	No	No	No	No	-
Gage Goncalves	Sudbury Wolves (SEA)	C	24	2001-01-16	CAN	Yes	181 Lbs	6 ft0	No	No	N/A		No	No	1	2024-07-02	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ilya Mikheyev	Sudbury Wolves (SEA)	RW	30	1994-10-10	RUS	No	192 Lbs	6 ft2	No	No	N/A		No	No	5	2024-07-02	False	False	Pro & Farm	841,667$	0$	0$	No	841,667$	841,667$	841,667$	841,667$	-	-	-	-	-	841,667$	841,667$	841,667$	841,667$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien / Lien NHL
Jack Rathbone	Sudbury Wolves (SEA)	D	25	1999-05-20	USA	Yes	177 Lbs	5 ft10	No	No	N/A		No	No	3	2024-07-02	False	False	Pro & Farm	896,250$	0$	0$	No	896,250$	896,250$	-	-	-	-	-	-	-	896,250$	896,250$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Jakub Lauko	Sudbury Wolves (SEA)	LW	25	2000-03-28	CZE	Yes	196 Lbs	6 ft0	No	No	N/A		No	No	3	2024-07-02	False	False	Pro & Farm	787,500$	0$	0$	No	787,500$	787,500$	-	-	-	-	-	-	-	787,500$	787,500$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Joel Daccord	Sudbury Wolves (SEA)	G	28	1996-08-19	USA	No	197 Lbs	6 ft2	No	No	N/A		No	No	3	2024-07-02	False	False	Pro & Farm	1,200,000$	0$	0$	No	1,200,000$	1,200,000$	-	-	-	-	-	-	-	1,200,000$	1,200,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Josh Manson (contrat à 1 volet)	Sudbury Wolves (SEA)	D	33	1991-10-07	USA	No	218 Lbs	6 ft3	No	No	Trade	2025-03-19	No	No	5	2024-07-02	False	False	Pro & Farm	5,800,000$	5,800,000$	5,600,000$	No	5,800,000$	5,800,000$	5,800,000$	5,800,000$	-	-	-	-	-	5,800,000$	5,800,000$	5,800,000$	5,800,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien / Lien NHL
Justin Sourdif	Sudbury Wolves (SEA)	RW	23	2002-03-24	CAN	Yes	180 Lbs	5 ft11	No	No	N/A		No	No	5	2024-07-02	False	False	Pro & Farm	847,500$	0$	0$	No	847,500$	847,500$	847,500$	847,500$	-	-	-	-	-	847,500$	847,500$	847,500$	847,500$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Kocha Delic	Sudbury Wolves (SEA)	C	21	2004-03-11	CAN	Yes	180 Lbs	5 ft10	No	No	N/A		No	No	9		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	-	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	No	No	No	No	No	No	No	No	-
Luca Pinelli	Sudbury Wolves (SEA)	C/LW/RW	20	2005-04-05	CAN	Yes	168 Lbs	5 ft9	No	No	Trade	2025-03-19	No	No	9		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	-	1$	1$	1$	1$	1$	1$	1$	1$	-	No	No	No	No	No	No	No	No	-
Luke Evangelista	Sudbury Wolves (SEA)	RW	27	1997-08-07	CAN	No	183 Lbs	6 ft0	No	No	N/A		No	No	5	2024-07-02	False	False	Pro & Farm	797,500$	0$	0$	No	797,500$	797,500$	797,500$	797,500$	-	-	-	-	-	797,500$	797,500$	797,500$	797,500$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien / Lien NHL
Maveric Lamoureux	Sudbury Wolves (SEA)	D	21	2004-01-13	CAN	Yes	197 Lbs	6 ft7	No	No	N/A		No	No	9		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	-	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	No	No	No	No	No	No	No	No	-
Michael Benning	Sudbury Wolves (SEA)	D	23	2002-01-02	CAN	Yes	184 Lbs	5 ft9	No	No	Trade	2024-07-10	No	No	9		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	-	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	No	No	No	No	No	No	No	No	-
Nikita Alexandrov	Sudbury Wolves (SEA)	LW/RW	24	2000-09-16	DEU	Yes	177 Lbs	6 ft1	No	No	N/A		No	No	5	2024-07-02	False	False	Pro & Farm	816,667$	0$	0$	No	816,667$	816,667$	816,667$	816,667$	-	-	-	-	-	816,667$	816,667$	816,667$	816,667$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien / Lien NHL
Noah Cates	Sudbury Wolves (SEA)	LW	26	1999-02-05	USA	No	165 Lbs	6 ft1	No	No	N/A		No	No	3	2024-07-02	False	False	Pro & Farm	2,625,000$	0$	0$	No	2,625,000$	2,625,000$	-	-	-	-	-	-	-	2,625,000$	2,625,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Rasmus Kupari	Sudbury Wolves (SEA)	C/LW/RW	25	2000-03-15	FIN	Yes	200 Lbs	6 ft2	No	No	N/A		No	No	7	2024-07-02	False	False	Pro & Farm	2,500,000$	0$	0$	No	2,500,000$	2,500,000$	2,500,000$	2,500,000$	2,500,000$	2,500,000$	-	-	-	2,500,000$	2,500,000$	2,500,000$	2,500,000$	2,500,000$	2,500,000$	-	-	-	No	No	No	No	No	No	-	-	-	Lien / Lien NHL
Ryan Winterton	Sudbury Wolves (SEA)	C	21	2003-09-04	CAN	Yes	190 Lbs	6 ft2	No	No	N/A		No	No	5	2024-07-02	False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	-	-	-	-	-	766,667$	766,667$	766,667$	766,667$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Sasha Pastujov	Sudbury Wolves (SEA)	LW/RW	21	2003-07-15	USA	Yes	187 Lbs	5 ft11	No	No	Trade	2025-03-19	No	No	9		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	-	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	No	No	No	No	No	No	No	No	-
Seth Jones (contrat à 1 volet)	Sudbury Wolves (SEA)	D	30	1994-10-03	USA	No	213 Lbs	6 ft4	No	No	Trade	2025-04-01	No	No	9	2024-07-21	False	False	Pro & Farm	9,500,000$	9,500,000$	9,172,414$	No	9,500,000$	9,500,000$	9,500,000$	9,500,000$	9,500,000$	9,500,000$	9,500,000$	9,500,000$	-	9,500,000$	9,500,000$	9,500,000$	9,500,000$	9,500,000$	9,500,000$	9,500,000$	9,500,000$	-	No	No	No	No	No	No	No	No	-	Lien / Lien NHL
Tomas Hamara	Sudbury Wolves (SEA)	D	21	2004-03-09	CZE	Yes	192 Lbs	6 ft0	No	No	N/A		No	No	9		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	-	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	No	No	No	No	No	No	No	No	-
Vadim Moroz	Sudbury Wolves (SEA)	C/LW/RW	21	2003-11-20	RUS	Yes	185 Lbs	6 ft2	No	No	Trade	2025-03-19	No	No	9		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	-	1$	1$	1$	1$	1$	1$	1$	1$	-	No	No	No	No	No	No	No	No	-
Vladislav Kolyachonok	Sudbury Wolves (SEA)	D	23	2001-05-26	BLR	Yes	193 Lbs	6 ft1	No	No	N/A		No	No	5	2024-07-02	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	925,000$	925,000$	-	-	-	-	-	925,000$	925,000$	925,000$	925,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien
Will Cuylle	Sudbury Wolves (SEA)	LW	23	2002-02-05	CAN	Yes	211 Lbs	6 ft3	No	No	N/A		No	No	5	2024-07-02	False	False	Pro & Farm	828,333$	0$	0$	No	828,333$	828,333$	828,333$	828,333$	-	-	-	-	-	828,333$	828,333$	828,333$	828,333$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Xavier Bourgault	Sudbury Wolves (SEA)	C	22	2002-10-22	CAN	Yes	172 Lbs	6 ft0	No	No	N/A		No	No	9		False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	-	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	No	No	No	No	No	No	No	No	-
Zack Ostapchuk	Sudbury Wolves (SEA)	C	21	2003-05-29	CAN	Yes	205 Lbs	6 ft3	No	No	N/A		No	No	3	2024-07-02	False	False	Pro & Farm	870,000$	0$	0$	No	870,000$	870,000$	-	-	-	-	-	-	-	870,000$	870,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
36	24.03	189 Lbs	6 ft1	6.11	1,541,563$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Noah Cates	David Kampf	Jakub Lauko	40	1	2	2
2	Will Cuylle	Luke Evangelista	Ilya Mikheyev	30	1	2	2
3	Noah Cates	David Kampf	Will Cuylle	20	1	2	2
4	Jakub Lauko	Noah Cates	David Kampf	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Vladislav Kolyachonok	Josh Manson	40	1	2	2
2	Seth Jones	Drew Helleson	30	1	2	2
3	Drew Helleson	Josh Manson	20	1	2	2
4	Seth Jones	Vladislav Kolyachonok	10	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Noah Cates	David Kampf	Jakub Lauko	60	1	2	2
2	Will Cuylle	Ilya Mikheyev	Luke Evangelista	40	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Seth Jones	Vladislav Kolyachonok	60	1	2	2
2	Drew Helleson	Josh Manson	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Jakub Lauko	Will Cuylle	60	1	2	2
2	David Kampf	Noah Cates	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Josh Manson	Seth Jones	60	1	2	2
2	Drew Helleson	Vladislav Kolyachonok	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	David Kampf	60	1	2	2	Vladislav Kolyachonok	Josh Manson	60	1	2	2
2	Will Cuylle	40	1	2	2	Drew Helleson	Seth Jones	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Jakub Lauko	Will Cuylle	60	1	2	2
2	David Kampf	Noah Cates	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Seth Jones	Josh Manson	60	1	2	2
2	Vladislav Kolyachonok	Drew Helleson	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Will Cuylle	David Kampf	Noah Cates	Seth Jones	Josh Manson

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Will Cuylle	David Kampf	Noah Cates	Seth Jones	Josh Manson

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
David Kampf, Will Cuylle, Jakub Lauko	Will Cuylle, David Kampf	Jakub Lauko

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Drew Helleson, Vladislav Kolyachonok, Josh Manson	Drew Helleson	Drew Helleson, Vladislav Kolyachonok

Tirs de pénalité
Ilya Mikheyev, Will Cuylle, David Kampf, Noah Cates, Jakub Lauko

Gardien
#1 : Joel Daccord, #2 : Arturs Silovs

Lignes d’attaque personnalisées en prolongation
Ilya Mikheyev, Will Cuylle, David Kampf, Noah Cates, Jakub Lauko, Danila Klimovich, Rasmus Kupari, Luke Evangelista, A.J. Greer, Brendan Brisson

Lignes de défense personnalisées en prolongation
Josh Manson, Seth Jones, Jack Rathbone, Vladislav Kolyachonok, Drew Helleson

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	Cleveland Monsters	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	4	7	0	0	2	5	0	0	10	15	19	14	0	12	9	2	14	0	0	0%	1	1	0.00%	1	26	49	53.06%	37	56	66.07%	23	32	71.88%	52	19	58	31	69	35
2	Columbus River Dragons	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	3	1	2	1.000	4	7	11	0	0	2	5	0	0	24	15	19	14	0	32	3	6	18	4	1	25.00%	3	1	66.67%	0	26	49	53.06%	37	56	66.07%	23	32	71.88%	52	19	58	31	69	35
3	San Diego Spartans	1	0	1	0	0	0	0	0	0	3	-3	1	0	1	0	0	0	0	0	0	3	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	2	5	0	0	14	15	19	14	0	28	10	12	25	1	0	0.00%	6	0	100.00%	0	26	49	53.06%	37	56	66.07%	23	32	71.88%	52	19	58	31	69	35
	Total	3	2	1	0	0	0	0	0	7	8	-1	2	1	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	4	3	1	4	0.667	7	11	18	0	0	2	5	0	0	48	15	19	14	0	72	22	20	57	5	1	20.00%	10	2	80.00%	1	26	49	53.06%	37	56	66.07%	23	32	71.88%	52	19	58	31	69	35
	_Since Last GM Reset	3	2	1	0	0	0	0	0	7	8	-1	2	1	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	4	3	1	4	0.667	7	11	18	0	0	2	5	0	0	48	15	19	14	0	72	22	20	57	5	1	20.00%	10	2	80.00%	1	26	49	53.06%	37	56	66.07%	23	32	71.88%	52	19	58	31	69	35
	_Vs Conference	3	2	1	0	0	0	0	0	7	8	-1	2	1	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	4	3	1	4	0.667	7	11	18	0	0	2	5	0	0	48	15	19	14	0	72	22	20	57	5	1	20.00%	10	2	80.00%	1	26	49	53.06%	37	56	66.07%	23	32	71.88%	52	19	58	31	69	35
	_Vs Division	2	2	1	0	0	0	0	0	4	6	-2	1	1	1	0	0	0	0	0	0	3	-3	1	1	0	0	0	0	0	0	4	3	1	4	1.000	4	7	11	0	0	2	5	0	0	38	15	19	14	0	60	13	18	43	5	1	20.00%	9	1	88.89%	0	26	49	53.06%	37	56	66.07%	23	32	71.88%	52	19	58	31	69	35

			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
3	4	W1	7	11	18	48	72	22	20	57	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	7	8

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	3	5

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	1	0	0	0	0	0	4	3

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
2	1	0	0	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
5	1	20.00%	10	2	80.00%	1

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
15	19	14	0	2	5	0	0

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
26	49	53.06%	37	56	66.07%	23	32	71.88%

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
52	19	58	31	69	35

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	Lien
2	9	Cleveland Monsters	2	Sudbury Wolves	3	W	Sommaire du match
3	19	San Diego Spartans	3	Sudbury Wolves	0	L	Sommaire du match
5	30	Sudbury Wolves	4	Columbus River Dragons	3	W	Sommaire du match
6	37	O'Fallon Madcats	-	Sudbury Wolves	-
9	54	Columbus River Dragons	-	Sudbury Wolves	-
10	66	Sudbury Wolves	-	San Diego Spartans	-
11	73	Cleveland Monsters	-	Sudbury Wolves	-
12	81	Sudbury Wolves	-	Sydney Ice Dogs	-
13	89	Sudbury Wolves	-	Greenville Swamp Rabbits	-
15	96	Tucson Roadrunners	-	Sudbury Wolves	-
17	109	Greenville Swamp Rabbits	-	Sudbury Wolves	-
19	123	Sudbury Wolves	-	Cleveland Monsters	-
20	124	Sudbury Wolves	-	O'Fallon Madcats	-
21	131	Wheeling Nailers	-	Sudbury Wolves	-
22	143	Sudbury Wolves	-	Wheeling Nailers	-
23	148	Greenville Swamp Rabbits	-	Sudbury Wolves	-
25	162	Sudbury Wolves	-	Tucson Roadrunners	-
26	169	Sydney Ice Dogs	-	Sudbury Wolves	-
27	179	Sudbury Wolves	-	Greenville Swamp Rabbits	-
29	187	Wheeling Nailers	-	Sudbury Wolves	-
30	198	Columbus River Dragons	-	Sudbury Wolves	-
33	211	Sudbury Wolves	-	Columbus River Dragons	-
34	217	O'Fallon Madcats	-	Sudbury Wolves	-
35	229	Sudbury Wolves	-	Cleveland Monsters	-
36	235	Orlando Solar Bears	-	Sudbury Wolves	-
37	245	Sudbury Wolves	-	IUP Crimson Hawks	-
38	253	Utica Comets	-	Sudbury Wolves	-
39	259	Sudbury Wolves	-	Cleveland Monsters	-
40	268	Sudbury Wolves	-	San Diego Spartans	-
41	276	O'Fallon Madcats	-	Sudbury Wolves	-
43	283	Sudbury Wolves	-	O'Fallon Madcats	-
44	292	San Diego Spartans	-	Sudbury Wolves	-
45	302	Sudbury Wolves	-	Columbus River Dragons	-
46	310	Hershey Bears	-	Sudbury Wolves	-
49	323	Sudbury Wolves	-	O'Fallon Madcats	-
50	329	Greenville Swamp Rabbits	-	Sudbury Wolves	-
51	343	Tucson Roadrunners	-	Sudbury Wolves	-
53	355	Sudbury Wolves	-	Wheeling Nailers	-
54	361	Cleveland Monsters	-	Sudbury Wolves	-
55	371	Sudbury Wolves	-	San Diego Spartans	-
56	375	Sudbury Wolves	-	Greenville Swamp Rabbits	-
57	383	Greenville Swamp Rabbits	-	Sudbury Wolves	-
59	398	Saskatoon Blades	-	Sudbury Wolves	-
60	408	Sudbury Wolves	-	Orlando Solar Bears	-
61	413	Sudbury Wolves	-	Wheeling Nailers	-
62	419	Wheeling Nailers	-	Sudbury Wolves	-
64	428	Sudbury Wolves	-	Tucson Roadrunners	-
65	436	San Diego Spartans	-	Sudbury Wolves	-
67	448	Sudbury Wolves	-	Greenville Swamp Rabbits	-
68	454	Sydney Ice Dogs	-	Sudbury Wolves	-
69	463	Sudbury Wolves	-	Sydney Ice Dogs	-
70	474	IUP Crimson Hawks	-	Sudbury Wolves	-
72	487	Cleveland Monsters	-	Sudbury Wolves	-
73	494	Sudbury Wolves	-	Saskatoon Blades	-
74	503	Sudbury Wolves	-	O'Fallon Madcats	-
75	510	San Diego Spartans	-	Sudbury Wolves	-
77	522	Lillehammer IK	-	Sudbury Wolves	-
79	532	Sudbury Wolves	-	San Diego Spartans	-
80	541	Sydney Ice Dogs	-	Sudbury Wolves	-
82	552	Sudbury Wolves	-	Utica Comets	-
83	559	Calgary Canucks	-	Sudbury Wolves	-
84	568	Sudbury Wolves	-	Hershey Bears	-
85	574	Sudbury Wolves	-	Skelleftea AIK	-
86	580	Wheeling Nailers	-	Sudbury Wolves	-
87	593	O'Fallon Madcats	-	Sudbury Wolves	-
89	602	Sudbury Wolves	-	Columbus River Dragons	-
90	607	Sudbury Wolves	-	Jacksonville Lizard Kings	-
91	616	Skelleftea AIK	-	Sudbury Wolves	-
92	630	Columbus River Dragons	-	Sudbury Wolves	-
93	634	Sudbury Wolves	-	Sydney Ice Dogs	-
95	647	Sudbury Wolves	-	Wheeling Nailers	-
96	651	Sudbury Wolves	-	Cleveland Monsters	-
97	657	Sydney Ice Dogs	-	Sudbury Wolves	-
98	668	Tucson Roadrunners	-	Sudbury Wolves	-
100	679	Sudbury Wolves	-	Tucson Roadrunners	-
101	681	Sudbury Wolves	-	Lillehammer IK	-
102	694	Tucson Roadrunners	-	Sudbury Wolves	-
103	702	Sudbury Wolves	-	Calgary Canucks	-
104	710	Columbus River Dragons	-	Sudbury Wolves	-
105	712	Sudbury Wolves	-	Sydney Ice Dogs	-
108	729	Jacksonville Lizard Kings	-	Sudbury Wolves	-
109	734	Sudbury Wolves	-	Tucson Roadrunners	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des billets	35	15
Assistance	0	0
Assistance PCT	0.00%	0.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
39	0 - 0.00%	0$	0$	3000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs
223,552$	4,019,626$	4,019,626$	1,000,000$0$

Plafond salarial par jour	Plafond salarial à ce jour	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
0$	178,507$	0	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	106	45,222$	4,793,532$

Sudbury Wolves Leaders statistiques des joueurs (saison régulière)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS
1	David Kampf	85	23	50	73	-8	14	103	204	155	14.84%	31	1981	23.31	5	20	25	30	0	0	0	8	6	2	57.89%	1	0.74	0	4
2	Noah Cates	85	36	33	69	-19	10	110	139	249	14.46%	43	1933	22.74	11	11	22	46	0	0	0	5	7	4	54.13%	3	0.71	0	0
3	Will Cuylle	85	16	27	43	-1	51	137	137	125	12.80%	40	1888	22.22	2	2	4	13	1	2	3	5	8	2	50.00%	0	0.46	1	6
4	Jakub Lauko	85	17	23	40	-13	32	145	163	91	18.68%	44	1887	22.21	7	6	13	31	1	2	3	2	5	0	46.06%	0	0.42	0	0
5	Brad Lambert	82	17	21	38	-5	0	91	149	124	13.71%	31	1630	19.89	3	4	7	18	0	0	0	0	0	1	41.12%	0	0.47	1	6

Sudbury Wolves Leaders des statistiques des gardiens (saison régulière)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	SO	GA	SA	SAR	EG	PS %	PSA
1	Anton Forsberg	82	34	35	12	0.892	2.17	4813	9	174	1618	684	5	0.467	15
2	Joel Daccord	3	2	1	0	0.889	2.67	180	0	8	72	33	0	0	0
3	Arturs Silovs	6	0	0	1	0.849	3.16	152	0	8	53	23	0	0	0

Sudbury Wolves 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
4	82	27	35	0	6	8	1	5	157	192	-35	41	17	14	0	4	3	0	3	91	95	-4	41	10	21	0	2	5	1	2	66	97	-31	81	157	255	412	5	9	19	58	73	8	1234	242	412	523	73	1676	577	382	1577	197	40	20.30%	181	47	74.03%	3	653	1167	55.96%	727	1443	50.38%	422	775	54.45%	1421	513	1546	888	2004	1037
5	3	2	1	0	0	0	0	0	7	8	-1	2	1	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	4	3	1	4	7	11	18	0	0	2	5	0	0	48	15	19	14	0	72	22	20	57	5	1	20.00%	10	2	80.00%	1	26	49	53.06%	37	56	66.07%	23	32	71.88%	52	19	58	31	69	35
Total Saison régulière	85	29	36	0	6	8	1	5	164	200	-36	43	18	15	0	4	3	0	3	94	100	-6	42	11	21	0	2	5	1	2	70	100	-30	85	164	266	430	5	9	21	63	73	8	1282	257	431	537	73	1748	599	402	1634	202	41	20.30%	191	49	74.35%	4	679	1216	55.84%	764	1499	50.97%	445	807	55.14%	1474	533	1604	919	2073	1072
Séries éliminatoires
Total Séries éliminatoires	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	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	0	0	0	0	0%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	0	0	0	0	0	0

Sudbury Wolves Leaders statistiques des joueurs (séries éliminatoires)

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

Sudbury Wolves 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

	Sudbury Wolves
	GP: 3 \| W: 2 \| L: 1 \| OTL: 0 \| P: 4 GF: 7 \| GA: 8 \| PP%: 20.00% \| PK%: 80.00% DG: Tyler Villeneuve \| Morale : 41 \| Moyenne d’équipe : 57 Prochains matchs #37 vs O'Fallon Madcats