Seattle Kraken
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Statistiques d’équipe en carrière

Centre de jeu
	Columbus River Dragons 18-9-2, 38pts	4	FINAL	2	Sudbury Wolves 16-11-1, 33pts

Team Stats
L1	Séquence	OTL1
10-4-0	Fiche domicile	9-5-1
8-5-2	Fiche domicile	7-6-0
5-4-1	Derniers 10 matchs	5-4-1
3.24	Buts par match	2.29
2.62	Buts contre par match	2.18
28.04%	Pourcentage en avantage numérique	22.06%
78.16%	Pourcentage en désavantage numérique	81.97%

Greenville Swamp Rabbits
13-10-5, 31pts

FINAL

Sudbury Wolves
16-11-1, 33pts

Team Stats
W1	Séquence	OTL1
4-7-3	Fiche domicile	9-5-1
9-3-2	Fiche domicile	7-6-0
3-6-1	Derniers 10 matchs	5-4-1
3.00	Buts par match	2.29
3.21	Buts contre par match	2.18
29.33%	Pourcentage en avantage numérique	22.06%
67.21%	Pourcentage en désavantage numérique	81.97%

Sudbury Wolves
16-11-1, 33pts

Jour 45

Skelleftea AIK
10-15-4, 24pts

Statistiques d’équipe
OTL1	Séquence	L1
9-5-1	Fiche domicile	5-7-2
7-6-0	Fiche visiteur	5-8-2
5-4-1	10 derniers matchs	3-5-2
2.29	Buts par match	3.21
2.18	Buts contre par match	3.21
22.06%	Pourcentage en avantage numérique	13.04%
81.97%	Pourcentage en désavantage numérique	79.12%

Sudbury Wolves
16-11-1, 33pts

Jour 47

Saskatoon Blades
15-10-4, 34pts

Statistiques d’équipe
OTL1	Séquence	SOL1
9-5-1	Fiche domicile	7-4-3
7-6-0	Fiche visiteur	8-6-1
5-4-1	10 derniers matchs	5-4-1
2.29	Buts par match	3.07
2.18	Buts contre par match	3.07
22.06%	Pourcentage en avantage numérique	25.58%
81.97%	Pourcentage en désavantage numérique	73.00%

Wheeling Nailers
9-16-4, 22pts

Jour 48

Sudbury Wolves
16-11-1, 33pts

Statistiques d’équipe
L1	Séquence	OTL1
4-9-1	Fiche domicile	9-5-1
5-7-3	Fiche visiteur	7-6-0
3-5-2	10 derniers matchs	5-4-1
2.45	Buts par match	2.29
3.31	Buts contre par match	2.29
27.27%	Pourcentage en avantage numérique	22.06%
64.00%	Pourcentage en désavantage numérique	81.97%

Meneurs d'équipe
	Buts David Kampf 13	Passes David Kampf 17

	Points David Kampf 30	Plus/Moins Angus Crookshank 7

	Victoires Anton Forsberg 16	Pourcentage d’arrêts Anton Forsberg 0.907

Statistiques d’équipe
Buts pour 64 2.29 GFG	Tirs pour 476 17.00 Avg	Pourcentage en avantage numérique 22.1% 15 GF	Début de zone offensive 34.8%
Buts contre 61 2.18 GAA	Tirs contre 619 22.11 Avg	Pourcentage en désavantage numérique 82.0%% 11 GA	Début de la zone défensive 41.9%

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	38
	Équipe Mineure	21
	Limite contact	59 / 250
	Espoirs	23
Historique d'équipe
	Saison actuelle	16-11-1 (33PTS)
	Historique	0-0-0

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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	David Kampf	0	X				100.00	60	35	93	78	74	76	94	59	78	61	60	68	70	64	71	0	53	68	0	29	8	2,400,000$
2	Noah Cates (R)	0		X			100.00	63	35	99	79	61	77	71	64	64	64	60	77	71	48	64	0	53	68	0	25	4	2,625,000$
3	Will Cuylle (R)	0		X			100.00	82	55	82	78	85	71	98	56	55	59	64	72	70	45	55	0	50	68	0	22	6	828,333$
4	Jakub Lauko (R)	0		X			100.00	81	49	86	76	80	69	72	54	55	61	56	75	67	45	58	0	53	66	0	24	4	787,500$
5	Lukas Reichel (R)	0		X			100.00	55	35	94	79	63	78	78	58	60	62	59	61	69	45	58	0	51	64	0	22	1	775,000$
6	Brad Lambert (R)	0	X				100.00	40	35	99	85	61	77	60	62	55	74	41	51	64	45	56	0	53	61	0	20	6	886,666$
7	Angus Crookshank (R)	0		X			100.00	55	35	91	77	72	69	60	50	55	50	55	64	65	48	60	0	53	60	0	25	2	775,000$
8	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	51	60	0	24	8	2,500,000$
9	Danila Klimovich (R)	0			X		100.00	65	73	57	57	65	47	69	62	46	64	59	51	53	45	45	0	51	58	0	21	6	789,167$
10	Nikita Alexandrov (R)	0		X	X		100.00	53	35	95	75	68	66	60	50	55	50	47	61	62	45	57	0	49	58	0	24	6	816,667$
11	Zack Ostapchuk (R)	0	X				100.00	60	35	99	75	80	70	60	50	55	41	41	59	60	45	52	0	46	57	0	21	4	870,000$
12	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	22	6	847,500$
13	Ryan Winterton (R)	0	X				100.00	47	35	99	75	71	67	60	50	55	41	41	56	60	45	51	0	35	55	0	21	6	775,000$
14	Ty Emberson (R)	0				X	100.00	73	35	94	81	77	87	60	66	40	64	49	79	58	45	67	0	18	73	0	24	1	775,000$
15	Andrew Peeke	0				X	100.00	71	35	90	80	82	83	60	62	40	63	48	75	57	52	68	0	50	71	0	26	6	2,750,000$
16	Calen Addison (R)	0				X	100.00	54	35	74	81	66	85	87	67	40	67	51	72	59	45	65	0	53	70	0	24	2	825,000$
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	6	925,000$
18	Drew Helleson (R)	0				X	100.00	74	50	62	69	59	51	58	52	41	44	48	44	57	45	45	0	53	53	0	23	6	925,000$
19	Maveric Lamoureux (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	45	50	0	20	10	775,000$
20	Michael Benning (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	35	50	0	22	10	775,000$
Rayé
1	A.J. Greer	0		X			91.11	68	56	84	76	82	66	71	51	55	59	60	74	67	60	65	0	48	66	0	27	4	850,000$
2	Brendan Brisson (R)	0		X	X		100.00	51	35	96	81	69	74	60	60	55	63	54	61	68	45	58	0	33	63	0	22	6	925,000$
3	Xavier Bourgault (R)	0	X				100.00	62	40	70	69	59	57	57	62	42	62	58	62	63	50	50	0	25	60	0	21	10	775,000$
4	Linus Karlsson (R)	0	X				100.00	42	35	99	75	67	69	60	50	55	41	41	53	60	48	60	0	20	55	0	24	1	775,000$
5	Gage Goncalves (R)	0	X				100.00	49	35	35	74	66	69	60	50	55	41	41	55	60	45	56	0	20	54	0	23	2	775,000$
6	Alexander Kisakov (R)	0		X			100.00	67	77	50	47	54	56	66	62	42	53	51	54	40	45	45	0	20	54	0	21	6	859,167$
7	David Goyette (R)	0	X				100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	20	50	0	20	10	775,000$
8	Gunnarwolfe Fontaine (R)	0		X			100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	20	50	0	24	10	775,000$
9	Kocha Delic (R)	0	X				100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	20	50	0	20	10	775,000$
10	Francesco Pinelli	0		X	X		100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	20	50	0	21	10	775,000$
11	Stanislav Yarovoy (R)	0	X	X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	20	1	0	21	10	775,000$
12	Mavrick Bourque (R)	0		X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	20	1	0	22	10	775,000$
13	Jack Rathbone (R)	0				X	100.00	53	51	62	48	63	59	70	62	59	64	67	64	41	48	48	0	25	60	0	25	4	896,250$
14	Jacob Truscott (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	23	50	0	22	10	775,000$
15	Miguel Tourigny (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	20	50	0	22	10	775,000$
16	Tomas Hamara (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	20	50	0	20	10	775,000$

	MOYENNE D’ÉQUIPE						99.75	53	42	71	64	61	61	59	52	49	52	49	56	55	45	52	0	36	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	Anton Forsberg	0	100.00	85	77	84	88	82	85	85	84	85	86	80	74	70	0	60	83	0	31	1	775,000$
2	Arturs Silovs (R)	0	100.00	81	65	72	91	70	78	73	69	70	76	62	45	45	0	60	71	0	23	8	2,250,000$
Rayé

	MOYENNE D’ÉQUIPE		100.00	83	71	78	90	76	82	79	77	78	81	71	60	58	0	60	77

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	45	7	1,000,000$

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Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	S1	S2	S3
1	David Kampf	Sudbury Wolves (SEA)	C	28	13	17	30	-4	4	0	33	60	62	26	28	20.97%	6	642	22.93	4	6	10	12	53	0	0	0	4	38	3	1	56.31%	602	18	12	1	1	0.93	0	1	0	0	2	4	2
2	Noah Cates	Sudbury Wolves (SEA)	LW	28	8	15	23	-11	0	0	34	46	65	28	49	12.31%	15	619	22.11	2	4	6	9	48	0	0	0	1	20	3	0	47.50%	40	25	7	0	0	0.74	0	0	0	0	4	1	2
3	Will Cuylle	Sudbury Wolves (SEA)	LW	28	4	12	16	-5	25	5	46	51	57	11	27	7.02%	19	606	21.68	1	1	2	8	43	0	1	1	1	47	2	1	51.22%	41	15	13	0	0	0.53	1	1	0	1	1	1	1
4	Jakub Lauko	Sudbury Wolves (SEA)	LW	28	5	9	14	-3	10	0	53	38	27	8	22	18.52%	13	569	20.35	1	2	3	5	40	0	1	1	0	39	2	0	49.41%	85	11	14	1	0	0.49	0	0	0	0	2	2	0
5	Calen Addison	Sudbury Wolves (SEA)	D	28	3	10	13	-3	36	0	47	52	35	16	12	8.57%	33	731	26.12	3	2	5	9	60	0	1	1	0	40	1	0	0%	0	10	17	0	0	0.36	0	0	0	0	1	1	0
6	Brad Lambert	Sudbury Wolves (SEA)	C	28	7	5	12	-2	0	0	33	50	50	22	26	14.00%	12	543	19.42	0	1	1	6	40	0	0	0	0	0	0	0	41.75%	194	11	10	0	0	0.44	1	1	0	0	0	2	1
7	Andrew Peeke	Sudbury Wolves (SEA)	D	27	2	7	9	-5	2	0	41	57	33	7	11	6.06%	35	751	27.85	1	3	4	6	56	1	0	1	2	57	0	1	0%	0	18	28	0	0	0.24	0	0	0	0	0	0	1
8	Drew Helleson	Sudbury Wolves (SEA)	D	28	1	5	6	-3	24	0	50	38	14	6	3	7.14%	14	613	21.92	1	0	1	2	37	0	0	0	0	29	1	0	0%	0	4	6	0	0	0.20	0	0	0	0	0	1	1
9	Lukas Reichel	Sudbury Wolves (SEA)	LW	26	2	3	5	7	2	0	25	37	20	3	13	10.00%	6	400	15.42	1	0	1	2	6	1	0	1	1	21	0	0	57.61%	92	13	3	0	0	0.25	0	0	0	0	0	0	1
10	Angus Crookshank	Sudbury Wolves (SEA)	LW	28	3	2	5	7	6	0	17	24	10	2	3	30.00%	5	300	10.72	0	0	0	1	5	0	0	0	0	1	1	0	43.33%	30	1	3	1	0	0.33	0	0	0	0	0	0	0
11	A.J. Greer	Sudbury Wolves (SEA)	LW	24	1	3	4	-8	9	5	39	28	12	6	16	8.33%	7	387	16.14	0	0	0	1	32	0	0	0	0	0	0	0	45.45%	22	11	7	0	0	0.21	0	0	1	0	0	1	0
12	Brendan Brisson	Sudbury Wolves (SEA)	LW/RW	6	1	3	4	4	0	0	13	6	19	4	8	5.26%	1	92	15.48	0	1	1	1	9	0	0	0	0	0	0	0	57.14%	7	3	3	0	0	0.86	0	0	0	0	1	0	0
13	Vladislav Kolyachonok	Sudbury Wolves (SEA)	D	25	0	3	3	2	0	0	12	31	10	2	4	0%	15	502	20.11	0	0	0	0	7	0	0	0	0	28	0	0	0%	0	5	9	0	0	0.12	0	0	0	0	0	0	0
14	Danila Klimovich	Sudbury Wolves (SEA)	RW	26	2	1	3	2	0	0	30	17	8	3	2	25.00%	1	225	8.69	0	0	0	0	2	0	0	0	0	0	0	0	20.00%	5	5	3	0	0	0.27	0	0	0	0	0	0	0
15	Nikita Alexandrov	Sudbury Wolves (SEA)	LW/RW	25	2	1	3	3	0	0	5	5	6	0	1	33.33%	0	136	5.47	0	0	0	0	0	0	0	0	0	0	0	0	33.33%	3	0	0	0	0	0.44	0	0	0	0	0	0	0
16	Maveric Lamoureux	Sudbury Wolves (SEA)	D	23	1	2	3	-1	18	0	26	18	8	0	2	12.50%	6	388	16.90	0	1	1	1	25	0	0	0	2	19	0	0	0%	0	0	5	0	0	0.15	0	0	0	0	0	0	0
17	Ilya Mikheyev	Seattle Kraken	RW	1	1	1	2	1	0	0	0	0	2	0	1	50.00%	0	19	19.15	0	1	1	0	3	0	0	0	0	1	1	0	0%	0	1	0	0	0	2.09	0	0	0	0	0	1	0
18	Jack Rathbone	Sudbury Wolves (SEA)	D	9	0	1	1	1	6	0	17	16	2	5	3	0%	9	199	22.13	0	0	0	0	15	0	0	0	0	15	0	0	0%	0	2	4	0	0	0.10	0	0	0	0	0	0	0
19	Francesco Pinelli	Sudbury Wolves (SEA)	LW/RW	2	1	0	1	1	0	0	3	0	2	1	2	50.00%	0	34	17.31	0	0	0	0	3	0	0	0	0	0	0	1	0%	2	0	2	0	0	0.58	0	0	0	0	0	0	1
20	Luke Evangelista	Seattle Kraken	RW	1	1	0	1	1	0	0	2	3	5	1	6	20.00%	0	24	24.13	0	0	0	0	4	0	0	0	1	1	0	0	100.00%	1	3	1	1	0	0.83	0	0	0	0	0	0	1
21	Ty Emberson	Sudbury Wolves (SEA)	D	9	0	0	0	4	0	0	3	5	0	1	1	0%	1	95	10.58	0	0	0	0	0	0	0	0	0	5	0	0	0%	0	1	0	0	0	0	0	0	0	0	0	0	0
22	Xavier Bourgault	Sudbury Wolves (SEA)	C	4	0	0	0	-2	0	0	5	7	2	0	3	0%	5	45	11.35	0	0	0	0	0	0	0	0	0	0	0	0	47.62%	21	0	1	0	0	0	0	0	0	0	0	0	0
23	David Goyette	Sudbury Wolves (SEA)	C	2	0	0	0	0	0	0	2	0	0	0	0	0%	0	12	6.24	0	0	0	0	0	0	0	0	0	0	0	0	40.00%	5	0	0	0	0	0	0	0	0	0	0	0	0
24	Zack Ostapchuk	Sudbury Wolves (SEA)	C	24	0	0	0	-1	0	0	12	11	3	0	2	0%	0	144	6.01	0	0	0	0	0	0	0	0	0	7	0	0	28.57%	35	0	1	0	0	0	0	0	0	0	0	0	0
25	Jacob Truscott	Sudbury Wolves (SEA)	D	6	0	0	0	0	0	0	0	1	0	0	0	0%	0	39	6.63	0	0	0	0	0	0	0	0	0	1	0	0	0%	0	1	1	0	0	0	0	0	0	0	0	0	0
26	Linus Karlsson	Sudbury Wolves (SEA)	C	4	0	0	0	1	0	0	0	0	0	0	0	0%	0	0	0.10	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
27	Justin Sourdif	Sudbury Wolves (SEA)	RW	23	0	0	0	0	0	0	0	1	0	0	0	0%	0	23	1.03	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
28	Miguel Tourigny	Sudbury Wolves (SEA)	D	2	0	0	0	0	0	0	0	0	0	0	0	0%	1	7	3.64	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	1	0	0	0	0	0	0	0	0	0	0
29	Ryan Winterton	Sudbury Wolves (SEA)	C	18	0	0	0	0	0	0	0	0	0	0	0	0%	0	5	0.30	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
30	Tomas Hamara	Sudbury Wolves (SEA)	D	2	0	0	0	0	0	0	2	0	0	0	0	0%	0	13	6.74	0	0	0	0	0	0	0	0	0	1	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0	0
31	Rasmus Kupari	Sudbury Wolves (SEA)	C/LW/RW	26	0	0	0	-1	0	0	0	1	0	0	0	0%	0	4	0.15	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
32	Mavrick Bourque	Sudbury Wolves (SEA)	LW/RW	2	0	0	0	-2	0	0	2	2	0	0	0	0%	0	26	13.05	0	0	0	0	0	0	0	0	0	0	0	0	0%	1	0	1	0	0	0	0	0	0	0	0	0	0
33	Michael Benning	Sudbury Wolves (SEA)	D	18	0	0	0	1	0	0	0	2	0	0	0	0%	0	79	4.44	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
Statistiques d’équipe totales ou en moyenne				559	58	100	158	-16	142	10	552	607	452	152	245	12.83%	204	8288	14.83	14	22	36	63	497	2	3	5	12	382	14	4	51.18%	1186	158	152	4	1	0.38	2	3	1	1	11	14	11

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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	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Anton Forsberg	Sudbury Wolves (SEA)	28	16	11	0	0.907	2.05	1669	3	57	611	272	2	0.667	3	28	0	2	1	2
2	Arturs Silovs	Sudbury Wolves (SEA)	1	0	0	1	0.667	6.32	19	0	2	6	3	0	0	0	0	28	0	0	0
Statistiques d’équipe totales ou en moyenne			29	16	11	1	0.904	2.10	1688	3	59	617	275	2		3	28	28	2	1	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	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	27	1996-12-14	No	208 Lbs	6 ft3	No	No	N/A		No	No	4	2024-07-02	False	False	Pro & Farm	850,000$	0$	0$	No	850,000$	850,000$	850,000$	-	-	-	-	-	-	850,000$	850,000$	850,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	-	-	-	-	-	-	Lien NHL
Alexander Kisakov	Sudbury Wolves (SEA)	LW	21	2002-11-01	Yes	150 Lbs	5 ft10	No	No	Trade	2024-07-10	No	No	6	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$	859,167$	859,167$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	-	-	-	-
Andrew Peeke	Sudbury Wolves (SEA)	D	26	1998-03-17	No	210 Lbs	6 ft3	No	No	N/A		No	No	6	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$	2,750,000$	2,750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	No	No	-	-	-	-	Lien / Lien NHL
Angus Crookshank	Sudbury Wolves (SEA)	LW	25	1999-10-02	Yes	181 Lbs	5 ft10	No	No	N/A		No	No	2	2024-07-02	False	False	Pro & Farm	775,000$	0$	0$	No	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	-	-	-	-	-	-	-	-
Anton Forsberg	Sudbury Wolves (SEA)	G	31	1992-11-27	No	192 Lbs	6 ft3	No	No	N/A		No	No	1	2024-07-02	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Arturs Silovs	Sudbury Wolves (SEA)	G	23	2001-03-22	Yes	203 Lbs	6 ft4	No	No	N/A		No	No	8	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$	2,250,000$	2,250,000$	1,000,000$	-	No	No	No	No	No	No	No	-	-
Brad Lambert	Sudbury Wolves (SEA)	C	20	2003-12-19	Yes	173 Lbs	6 ft1	No	No	Trade	2024-07-15	No	No	6	2024-07-02	False	False	Pro & Farm	886,666$	0$	0$	No	886,666$	886,666$	886,666$	886,666$	886,666$	-	-	-	-	886,666$	886,666$	886,666$	886,666$	886,666$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	-	-	-	-
Brendan Brisson	Sudbury Wolves (SEA)	LW/RW	22	2001-10-22	Yes	185 Lbs	6 ft0	No	No	N/A		No	No	6	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$	925,000$	925,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	-	-	-	-
Calen Addison	Sudbury Wolves (SEA)	D	24	2000-04-11	Yes	173 Lbs	5 ft11	No	No	N/A		No	No	2	2024-07-02	False	False	Pro & Farm	825,000$	0$	0$	No	825,000$	-	-	-	-	-	-	-	-	825,000$	795,000$	795,000$	795,000$	795,000$	795,000$	795,000$	795,000$	795,000$	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Danila Klimovich	Sudbury Wolves (SEA)	RW	21	2003-01-09	Yes	202 Lbs	6 ft2	No	No	N/A		No	No	6	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$	789,167$	789,167$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	-	-	-	-	Lien
David Goyette	Sudbury Wolves (SEA)	C	20	2004-03-27	Yes	174 Lbs	5 ft11	No	No	N/A		No	No	10		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$	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$	1,000,000$	No	No	No	No	No	No	No	No	No
David Kampf	Sudbury Wolves (SEA)	C	29	1995-01-12	No	197 Lbs	6 ft2	No	No	N/A		No	No	8	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$	2,400,000$	2,400,000$	1,500,000$	1,500,000$	No	No	No	No	No	No	No	-	-	Lien / Lien NHL
Drew Helleson	Sudbury Wolves (SEA)	D	23	2001-03-26	Yes	190 Lbs	6 ft3	No	No	N/A		No	No	6	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$	925,000$	925,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	-	-	-	-
Francesco Pinelli	Sudbury Wolves (SEA)	LW/RW	21	2003-04-11	No	185 Lbs	5 ft11	No	No	Trade	2024-07-10	No	No	10		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$	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$	1,000,000$	No	No	No	No	No	No	No	No	No
Gage Goncalves	Sudbury Wolves (SEA)	C	23	2001-01-16	Yes	181 Lbs	6 ft0	No	No	N/A		No	No	2	2024-07-02	False	False	Pro & Farm	775,000$	0$	0$	No	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	-	-	-	-	-	-	-	-
Gunnarwolfe Fontaine	Sudbury Wolves (SEA)	LW	24	2000-09-16	Yes	175 Lbs	5 ft10	No	No	N/A		No	No	10		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$	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$	1,000,000$	No	No	No	No	No	No	No	No	No
Jack Rathbone	Sudbury Wolves (SEA)	D	25	1999-05-20	Yes	177 Lbs	5 ft10	No	No	N/A		No	No	4	2024-07-02	False	False	Pro & Farm	896,250$	0$	0$	No	896,250$	896,250$	896,250$	-	-	-	-	-	-	896,250$	896,250$	896,250$	850,000$	850,000$	850,000$	850,000$	850,000$	850,000$	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Jacob Truscott	Sudbury Wolves (SEA)	D	22	2002-04-12	Yes	172 Lbs	6 ft1	No	No	N/A		No	No	10		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$	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$	1,000,000$	No	No	No	No	No	No	No	No	No
Jakub Lauko	Sudbury Wolves (SEA)	LW	24	2000-03-28	Yes	196 Lbs	6 ft0	No	No	N/A		No	No	4	2024-07-02	False	False	Pro & Farm	787,500$	0$	0$	No	787,500$	787,500$	787,500$	-	-	-	-	-	-	787,500$	787,500$	787,500$	764,167$	764,167$	764,167$	764,167$	764,167$	764,167$	No	No	No	-	-	-	-	-	-	Lien
Justin Sourdif	Sudbury Wolves (SEA)	RW	22	2002-03-24	Yes	180 Lbs	5 ft11	No	No	N/A		No	No	6	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$	847,500$	847,500$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	-	-	-	-
Kocha Delic	Sudbury Wolves (SEA)	C	20	2004-03-11	Yes	180 Lbs	5 ft10	No	No	N/A		No	No	10		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$	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$	1,000,000$	No	No	No	No	No	No	No	No	No
Linus Karlsson	Sudbury Wolves (SEA)	C	24	1999-11-16	Yes	178 Lbs	6 ft1	No	No	N/A		No	No	1	2024-07-02	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	-	-	-	-	-
Lukas Reichel	Sudbury Wolves (SEA)	LW	22	2002-05-17	Yes	170 Lbs	6 ft0	No	No	Trade	2024-07-15	No	No	1	2024-07-02	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	925,000$	925,000$	925,000$	925,000$	925,000$	925,000$	925,000$	925,000$	925,000$	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Maveric Lamoureux	Sudbury Wolves (SEA)	D	20	2004-01-13	Yes	197 Lbs	6 ft7	No	No	N/A		No	No	10		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$	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$	1,000,000$	No	No	No	No	No	No	No	No	No
Mavrick Bourque	Sudbury Wolves (SEA)	LW/RW	22	2002-01-08	Yes	185 Lbs	5 ft10	No	No	Trade	2024-07-15	No	No	10		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$	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$	1,000,000$	No	No	No	No	No	No	No	No	No
Michael Benning	Sudbury Wolves (SEA)	D	22	2002-01-02	Yes	184 Lbs	5 ft9	No	No	Trade	2024-07-10	No	No	10		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$	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$	1,000,000$	No	No	No	No	No	No	No	No	No
Miguel Tourigny	Sudbury Wolves (SEA)	D	22	2002-02-09	Yes	168 Lbs	5 ft8	No	No	N/A		No	No	10		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$	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$	1,000,000$	No	No	No	No	No	No	No	No	No
Nikita Alexandrov	Sudbury Wolves (SEA)	LW/RW	24	2000-09-16	Yes	177 Lbs	6 ft1	No	No	N/A		No	No	6	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$	816,667$	816,667$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	-	-	-	-	Lien / Lien NHL
Noah Cates	Sudbury Wolves (SEA)	LW	25	1999-02-05	Yes	165 Lbs	6 ft1	No	No	N/A		No	No	4	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$	2,625,000$	2,625,000$	750,000$	750,000$	750,000$	750,000$	750,000$	750,000$	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Rasmus Kupari	Sudbury Wolves (SEA)	C/LW/RW	24	2000-03-15	Yes	200 Lbs	6 ft2	No	No	N/A		No	No	8	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$	2,500,000$	2,500,000$	1,000,000$	1,000,000$	No	No	No	No	No	No	No	-	-	Lien / Lien NHL
Ryan Winterton	Sudbury Wolves (SEA)	C	21	2003-09-04	Yes	190 Lbs	6 ft2	No	No	N/A		No	No	6	2024-07-02	False	False	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	775,000$	775,000$	-	-	-	-	766,667$	766,667$	766,667$	766,667$	766,667$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	-	-	-	-
Stanislav Yarovoy	Sudbury Wolves (SEA)	C/LW/RW	21	2003-08-26	Yes	190 Lbs	5 ft11	No	No	Trade	2024-07-10	No	No	10		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$	775,000$	1$	1$	1$	1$	1$	1$	1$	1$	1$	No	No	No	No	No	No	No	No	No
Tomas Hamara	Sudbury Wolves (SEA)	D	20	2004-03-09	Yes	192 Lbs	6 ft0	No	No	N/A		No	No	10		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$	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$	1,000,000$	No	No	No	No	No	No	No	No	No
Ty Emberson	Sudbury Wolves (SEA)	D	24	2000-05-23	Yes	195 Lbs	6 ft1	No	No	Trade	2024-10-12	No	No	1	2024-07-02	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	853,333$	853,333$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Vladislav Kolyachonok	Sudbury Wolves (SEA)	D	23	2001-05-26	Yes	193 Lbs	6 ft1	No	No	N/A		No	No	6	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$	925,000$	925,000$	789,167$	789,167$	789,167$	789,167$	No	No	No	No	No	-	-	-	-	Lien
Will Cuylle	Sudbury Wolves (SEA)	LW	22	2002-02-05	Yes	211 Lbs	6 ft3	No	No	N/A		No	No	6	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$	828,333$	828,333$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	No	No	-	-	-	-
Xavier Bourgault	Sudbury Wolves (SEA)	C	21	2002-10-22	Yes	172 Lbs	6 ft0	No	No	N/A		No	No	10		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$	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$	1,000,000$	No	No	No	No	No	No	No	No	No
Zack Ostapchuk	Sudbury Wolves (SEA)	C	21	2003-05-29	Yes	205 Lbs	6 ft3	No	No	N/A		No	No	4	2024-07-02	False	False	Pro & Farm	870,000$	0$	0$	No	870,000$	870,000$	870,000$	-	-	-	-	-	-	870,000$	870,000$	870,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No	No	No	-	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
38	22.92	186 Lbs	6 ft1	6.32	1,033,717$

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	Brad Lambert	Lukas Reichel	30	1	2	2
3	Noah Cates	David Kampf	Will Cuylle	20	1	2	2
4	Jakub Lauko	Lukas Reichel	Brad Lambert	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Andrew Peeke	Calen Addison	40	1	2	2
2	Vladislav Kolyachonok	Drew Helleson	30	1	2	2
3	Drew Helleson	Maveric Lamoureux	20	1	2	2
4	Andrew Peeke	Calen Addison	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	Brad Lambert	Lukas Reichel	40	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Andrew Peeke	Calen Addison	60	1	2	2
2	Drew Helleson	Maveric Lamoureux	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	Andrew Peeke	Calen Addison	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	Andrew Peeke	Calen Addison	60	1	2	2
2	Will Cuylle	40	1	2	2	Drew Helleson	Maveric Lamoureux	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	Andrew Peeke	Calen Addison	60	1	2	2
2	Maveric Lamoureux	Drew Helleson	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Will Cuylle	David Kampf	Noah Cates	Andrew Peeke	Calen Addison

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Will Cuylle	David Kampf	Noah Cates	Andrew Peeke	Calen Addison

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

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Drew Helleson, Maveric Lamoureux, Calen Addison	Drew Helleson	Maveric Lamoureux, Andrew Peeke

Tirs de pénalité
Brad Lambert, Will Cuylle, David Kampf, Noah Cates, Jakub Lauko

Gardien
#1 : Anton Forsberg, #2 : Arturs Silovs

Lignes d’attaque personnalisées en prolongation
Lukas Reichel, Will Cuylle, David Kampf, Noah Cates, Jakub Lauko, Danila Klimovich, Danila Klimovich, Rasmus Kupari, Brad Lambert, Nikita Alexandrov, Angus Crookshank

Lignes de défense personnalisées en prolongation
Andrew Peeke, Calen Addison, Vladislav Kolyachonok, Maveric Lamoureux, 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	Calgary Canucks	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	1	1	2	0	0	6	26	28	5	8	101	141	221	16	21	8	2	24	0	0	0%	1	0	100.00%	0	228	419	54.42%	251	504	49.80%	147	280	52.50%	482	183	541	305	666	336
2	Cleveland Monsters	2	0	1	0	0	0	1	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	2	0	1	0	0	0	1	0	4	5	-1	2	0.500	4	6	10	1	0	6	26	28	5	24	101	141	221	16	45	17	8	29	2	0	0.00%	4	1	75.00%	0	228	419	54.42%	251	504	49.80%	147	280	52.50%	482	183	541	305	666	336
3	Columbus River Dragons	3	1	2	0	0	0	0	0	7	9	-2	3	1	2	0	0	0	0	0	7	9	-2	0	0	0	0	0	0	0	0	0	0	0	2	0.333	7	12	19	1	0	6	26	28	5	50	101	141	221	16	86	22	16	57	10	1	10.00%	8	2	75.00%	1	228	419	54.42%	251	504	49.80%	147	280	52.50%	482	183	541	305	666	336
4	Greenville Swamp Rabbits	7	2	2	0	2	1	0	0	25	20	5	4	1	0	0	2	1	0	0	18	13	5	3	1	2	0	0	0	0	0	7	7	0	9	0.643	25	39	64	0	0	6	26	28	5	141	101	141	221	16	149	54	20	146	11	5	45.45%	10	2	80.00%	0	228	419	54.42%	251	504	49.80%	147	280	52.50%	482	183	541	305	666	336
5	San Diego Spartans	2	1	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	2	1	1	2	0.500	3	4	7	0	0	6	26	28	5	34	101	141	221	16	54	15	10	26	6	1	16.67%	5	1	80.00%	0	228	419	54.42%	251	504	49.80%	147	280	52.50%	482	183	541	305	666	336
6	Saskatoon Blades	1	1	0	0	0	0	0	0	2	0	2	1	1	0	0	0	0	0	0	2	0	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	4	6	0	1	6	26	28	5	10	101	141	221	16	17	11	4	21	2	1	50.00%	2	0	100.00%	0	228	419	54.42%	251	504	49.80%	147	280	52.50%	482	183	541	305	666	336
7	Sydney Ice Dogs	5	2	3	0	0	0	0	0	6	12	-6	3	1	2	0	0	0	0	0	3	7	-4	2	1	1	0	0	0	0	0	3	5	-2	4	0.400	6	11	17	0	0	6	26	28	5	75	101	141	221	16	107	37	28	108	18	2	11.11%	14	5	64.29%	0	228	419	54.42%	251	504	49.80%	147	280	52.50%	482	183	541	305	666	336
8	Tucson Roadrunners	3	2	1	0	0	0	0	0	6	5	1	2	2	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	1	3	-2	4	0.667	6	9	15	0	0	6	26	28	5	58	101	141	221	16	69	17	40	59	6	2	33.33%	10	0	100.00%	1	228	419	54.42%	251	504	49.80%	147	280	52.50%	482	183	541	305	666	336
9	Utica Comets	2	1	0	0	1	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	2	1	0	0	1	0	0	0	5	1	4	4	1.000	5	9	14	0	1	6	26	28	5	41	101	141	221	16	41	10	8	47	6	2	33.33%	4	0	100.00%	0	228	419	54.42%	251	504	49.80%	147	280	52.50%	482	183	541	305	666	336
10	Wheeling Nailers	2	2	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	2	0	2	4	1.000	5	9	14	0	1	6	26	28	5	35	101	141	221	16	30	15	6	41	7	1	14.29%	3	0	100.00%	0	228	419	54.42%	251	504	49.80%	147	280	52.50%	482	183	541	305	666	336
	Total	28	12	11	0	3	1	1	0	64	61	3	15	7	5	0	2	1	0	0	39	35	4	13	5	6	0	1	0	1	0	25	26	-1	33	0.589	64	104	168	2	3	6	26	28	5	476	101	141	221	16	619	206	142	558	68	15	22.06%	61	11	81.97%	2	228	419	54.42%	251	504	49.80%	147	280	52.50%	482	183	541	305	666	336
	_Since Last GM Reset	28	12	11	0	3	1	1	0	64	61	3	15	7	5	0	2	1	0	0	39	35	4	13	5	6	0	1	0	1	0	25	26	-1	33	0.589	64	104	168	2	3	6	26	28	5	476	101	141	221	16	619	206	142	558	68	15	22.06%	61	11	81.97%	2	228	419	54.42%	251	504	49.80%	147	280	52.50%	482	183	541	305	666	336
	_Vs Conference	24	10	10	0	2	1	1	0	56	56	0	14	6	5	0	2	1	0	0	37	35	2	10	4	5	0	0	0	1	0	19	21	-2	27	0.563	56	90	146	2	1	6	26	28	5	417	101	141	221	16	540	177	128	466	60	12	20.00%	54	11	79.63%	2	228	419	54.42%	251	504	49.80%	147	280	52.50%	482	183	541	305	666	336
	_Vs Division	20	10	10	0	2	1	1	0	49	47	2	12	6	5	0	2	1	0	0	33	31	2	8	4	5	0	0	0	1	0	16	16	0	27	0.675	49	80	129	1	1	6	26	28	5	365	101	141	221	16	452	140	112	417	51	12	23.53%	46	9	80.43%	2	228	419	54.42%	251	504	49.80%	147	280	52.50%	482	183	541	305	666	336

			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
28	33	OTL1	64	104	168	476	619	206	142	558	2	3

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
28	12	11	3	1	1	0	64	61

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	7	5	2	1	0	0	39	35

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
13	5	6	1	0	1	0	25	26

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

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
68	15	22.06%	61	11	81.97%	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
101	141	221	16	6	26	28	5

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
228	419	54.42%	251	504	49.80%	147	280	52.50%

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
482	183	541	305	666	336

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	9	Columbus River Dragons	1	Sudbury Wolves	3	W			Sommaire du match
5	20	Sudbury Wolves	3	Greenville Swamp Rabbits	4	L			Sommaire du match
6	26	Sudbury Wolves	3	Sydney Ice Dogs	2	W			Sommaire du match
7	35	Greenville Swamp Rabbits	2	Sudbury Wolves	6	W			Sommaire du match
9	45	Greenville Swamp Rabbits	2	Sudbury Wolves	3	W	X		Sommaire du match
11	56	Sudbury Wolves	0	Sydney Ice Dogs	3	L			Sommaire du match
12	62	Sydney Ice Dogs	1	Sudbury Wolves	2	W			Sommaire du match
14	72	Sudbury Wolves	3	Cleveland Monsters	2	W	X	X	Sommaire du match
15	78	Sudbury Wolves	1	Tucson Roadrunners	3	L			Sommaire du match
16	86	Tucson Roadrunners	1	Sudbury Wolves	2	W			Sommaire du match
17	96	Sudbury Wolves	2	Utica Comets	1	W	X		Sommaire du match
18	101	Sudbury Wolves	2	San Diego Spartans	1	W			Sommaire du match
20	107	Columbus River Dragons	4	Sudbury Wolves	2	L			Sommaire du match
22	122	Wheeling Nailers	1	Sudbury Wolves	3	W			Sommaire du match
24	132	Tucson Roadrunners	1	Sudbury Wolves	3	W			Sommaire du match
26	147	Sydney Ice Dogs	3	Sudbury Wolves	1	L			Sommaire du match
27	151	Sudbury Wolves	1	Greenville Swamp Rabbits	2	L			Sommaire du match
28	161	Sudbury Wolves	1	Calgary Canucks	4	L			Sommaire du match
30	170	Sudbury Wolves	3	Utica Comets	0	W			Sommaire du match
31	174	San Diego Spartans	3	Sudbury Wolves	1	L			Sommaire du match
33	189	Sydney Ice Dogs	3	Sudbury Wolves	0	L			Sommaire du match
35	200	Sudbury Wolves	3	Greenville Swamp Rabbits	1	W			Sommaire du match
36	206	Saskatoon Blades	0	Sudbury Wolves	2	W			Sommaire du match
38	215	Sudbury Wolves	2	Wheeling Nailers	0	W			Sommaire du match
39	223	Greenville Swamp Rabbits	3	Sudbury Wolves	4	W	X		Sommaire du match
41	237	Sudbury Wolves	1	Cleveland Monsters	3	L			Sommaire du match
42	241	Columbus River Dragons	4	Sudbury Wolves	2	L			Sommaire du match
44	254	Greenville Swamp Rabbits	6	Sudbury Wolves	5	L	X		Sommaire du match
45	261	Sudbury Wolves	-	Skelleftea AIK	-
47	269	Sudbury Wolves	-	Saskatoon Blades	-
48	278	Wheeling Nailers	-	Sudbury Wolves	-
50	287	Sudbury Wolves	-	O'Fallon Madcats	-
52	295	Saskatoon Blades	-	Sudbury Wolves	-
54	304	Sudbury Wolves	-	Orlando Solar Bears	-
55	313	Cleveland Monsters	-	Sudbury Wolves	-
58	327	Wheeling Nailers	-	Sudbury Wolves	-
60	335	Sudbury Wolves	-	O'Fallon Madcats	-
61	341	Sudbury Wolves	-	Columbus River Dragons	-
63	348	O'Fallon Madcats	-	Sudbury Wolves	-
66	364	San Diego Spartans	-	Sudbury Wolves	-
68	372	Sudbury Wolves	-	Sydney Ice Dogs	-
69	381	Skelleftea AIK	-	Sudbury Wolves	-
70	387	Sudbury Wolves	-	Saskatoon Blades	-
72	399	Saskatoon Blades	-	Sudbury Wolves	-
73	405	Sudbury Wolves	-	Sydney Ice Dogs	-
75	416	Hershey Bears	-	Sudbury Wolves	-
77	425	Sudbury Wolves	-	Orlando Solar Bears	-
78	430	Sudbury Wolves	-	O'Fallon Madcats	-
80	439	Sudbury Wolves	-	Greenville Swamp Rabbits	-
81	445	Sudbury Wolves	-	San Diego Spartans	-
83	455	San Diego Spartans	-	Sudbury Wolves	-
85	465	IUP Crimson Hawks	-	Sudbury Wolves	-
87	477	O'Fallon Madcats	-	Sudbury Wolves	-
89	489	Tucson Roadrunners	-	Sudbury Wolves	-
91	498	Sudbury Wolves	-	Hershey Bears	-
92	507	Utica Comets	-	Sudbury Wolves	-
93	512	Sudbury Wolves	-	Lillehammer IK	-
94	520	Sudbury Wolves	-	Columbus River Dragons	-
96	529	Tucson Roadrunners	-	Sudbury Wolves	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
97	536	Sudbury Wolves	-	Wheeling Nailers	-
99	546	Cleveland Monsters	-	Sudbury Wolves	-
101	560	Columbus River Dragons	-	Sudbury Wolves	-
103	566	Sudbury Wolves	-	Cleveland Monsters	-
105	579	Orlando Solar Bears	-	Sudbury Wolves	-
106	589	Sudbury Wolves	-	Utica Comets	-
107	597	Cleveland Monsters	-	Sudbury Wolves	-
109	611	Sudbury Wolves	-	Columbus River Dragons	-
110	614	Sudbury Wolves	-	Jacksonville Lizard Kings	-
111	619	Lillehammer IK	-	Sudbury Wolves	-
114	633	O'Fallon Madcats	-	Sudbury Wolves	-
115	640	Sudbury Wolves	-	Wheeling Nailers	-
117	651	Columbus River Dragons	-	Sudbury Wolves	-
119	664	Sudbury Wolves	-	San Diego Spartans	-
120	665	Sudbury Wolves	-	Tucson Roadrunners	-
121	672	Jacksonville Lizard Kings	-	Sudbury Wolves	-
124	689	Sydney Ice Dogs	-	Sudbury Wolves	-
126	700	Sudbury Wolves	-	San Diego Spartans	-
127	703	Sudbury Wolves	-	Tucson Roadrunners	-
128	706	Sudbury Wolves	-	IUP Crimson Hawks	-
129	714	Greenville Swamp Rabbits	-	Sudbury Wolves	-
132	723	Sudbury Wolves	-	IUP Crimson Hawks	-
135	738	Calgary Canucks	-	Sudbury Wolves	-

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
26	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
1,572,543$	3,928,126$	4,174,792$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
0$	1,249,012$	0	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	92	36,236$	3,333,712$

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

Sudbury Wolves Leaders des statistiques des gardiens (saison régulière)

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

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

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: 28 \| W: 16 \| L: 11 \| OTL: 1 \| P: 33 GF: 64 \| GA: 61 \| PP%: 22.06% \| PK%: 81.97% DG: Tyler Villeneuve \| Morale : 46 \| Moyenne d’équipe : 56 Prochains matchs #261 vs Skelleftea AIK