Seattle Kraken
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Career Team Stats

Game Center
	Sudbury Wolves 35-28-9, 79pts	8	FINAL	3	Wheeling Nailers 17-49-7, 41pts

Team Stats
W2	Streak	L4
15-14-7	Home Record	11-22-3
20-14-2	Home Record	6-27-4
4-4-2	Last 10 Games	2-7-1
1.75	Goals Per Game	1.70
1.82	Goals Against Per Game	5.01
22.84%	Power Play Percentage	29.07%
76.92%	Penalty Kill Percentage	61.24%

Sudbury Wolves
35-28-9, 79pts

FINAL

Cleveland Monsters
34-24-14, 82pts

Team Stats
W2	Streak	L1
15-14-7	Home Record	15-15-7
20-14-2	Home Record	19-9-7
4-4-2	Last 10 Games	1-6-3
1.75	Goals Per Game	1.86
1.82	Goals Against Per Game	1.90
22.84%	Power Play Percentage	33.12%
76.92%	Penalty Kill Percentage	75.16%

Sydney Ice Dogs
35-30-7, 77pts

Day 97

Sudbury Wolves
35-28-9, 79pts

Team Stats
L2	Streak	W2
15-17-5	Home Record	15-14-7
20-13-2	Away Record	20-14-2
5-5-0	Last 10 Games	4-4-2
2.19	Goals Per Game	1.75
2.39	Goals Against Per Game	1.75
26.86%	Power Play Percentage	22.84%
70.44%	Penalty Kill Percentage	76.92%

Tucson Roadrunners
28-26-19, 75pts

Day 98

Sudbury Wolves
35-28-9, 79pts

Team Stats
W1	Streak	W2
15-13-9	Home Record	15-14-7
13-13-10	Away Record	20-14-2
7-2-1	Last 10 Games	4-4-2
2.23	Goals Per Game	1.75
2.32	Goals Against Per Game	1.75
30.38%	Power Play Percentage	22.84%
72.92%	Penalty Kill Percentage	76.92%

Sudbury Wolves
35-28-9, 79pts

Day 100

Tucson Roadrunners
28-26-19, 75pts

Team Stats
W2	Streak	W1
15-14-7	Home Record	15-13-9
20-14-2	Away Record	13-13-10
4-4-2	Last 10 Games	7-2-1
1.75	Goals Per Game	2.23
1.82	Goals Against Per Game	2.23
22.84%	Power Play Percentage	30.38%
76.92%	Penalty Kill Percentage	72.92%

Team Leaders
	Goals David Kampf 22	Assists Seth Jones 31

	Points David Kampf 49	Plus/Minus A.J. Greer 4

	Wins Joel Daccord 35	Save Percentage Joel Daccord 0.892

Team Stats
Goals For 126 1.75 GFG	Shots For 965 13.40 Avg	Power Play Percentage 22.8% 37 GF	Offensive Zone Start 37.7%
Goals Against 131 1.82 GAA	Shots Against 1171 16.26 Avg	Penalty Kill Percentage 76.9%% 33 GA	Defensive Zone Start 39.8%

Team Info
	General Manager	Tyler Villeneuve
	Coach	Daniel Sedin
	Division	Adams
	Conference	West
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	3,000
Roster Info
	Pro Team	35
	Farm Team	21
	Contract Limit	56 / 250
	Prospects	23
Team History
	This Season	35-28-9 (79PTS)
	History	69-63-19 (0.457%)
	Playoff Appearances	0
	Playoff Record (W-L)	0 - 0
	Stanley Cup	0

Show or Hide Columns

Filter Tips

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

#	Player Name	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Ilya Mikheyev	0			X		100.00	52	35	98	81	73	78	94	66	55	66	62	68	73	68	74	0	57	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	53	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	58	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	59	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	62	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	56	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	63	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	60	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	61	63	0	23	5	925,000$
10	Xavier Bourgault (R)	0	X				100.00	62	40	70	69	59	57	55	62	42	62	58	62	63	50	50	0	62	60	0	22	9	775,000$
11	Danila Klimovich (R)	0			X		100.00	65	73	57	57	65	47	69	62	46	64	59	51	53	45	45	0	62	58	0	22	5	789,167$
12	Nikita Alexandrov (R)	0		X	X		100.00	53	35	95	75	68	66	60	50	55	50	47	61	62	45	57	0	62	58	0	24	5	816,667$
13	Zack Ostapchuk (R)	0	X				100.00	60	35	99	75	80	70	60	50	55	41	41	59	60	45	52	0	58	57	0	21	3	870,000$
14	Justin Sourdif (R)	0			X		100.00	49	35	99	74	70	66	60	50	55	41	41	56	60	45	53	0	35	55	0	23	5	847,500$
15	Josh Manson	0				X	100.00	90	62	70	82	88	86	92	66	40	67	62	97	63	80	84	0	59	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	49	82	0	30	9	9,500,000$
17	Andrew Peeke	0				X	100.00	71	35	90	80	82	83	60	62	40	63	48	75	57	52	68	0	36	71	0	27	5	2,750,000$
18	Vladislav Kolyachonok (R)	0				X	100.00	40	35	89	82	71	74	60	62	40	63	51	57	58	45	58	0	56	62	0	23	5	925,000$
19	Jack Rathbone (R)	0				X	100.00	53	51	62	48	63	59	70	62	59	64	67	64	41	48	48	0	64	60	0	25	3	896,250$
20	Drew Helleson (R)	0				X	100.00	74	50	62	69	59	51	55	52	41	44	48	44	57	45	45	0	44	53	0	24	5	925,000$
Scratches
1	Ryan Winterton (R)	0	X				100.00	47	35	99	75	71	67	60	50	55	41	41	56	60	45	51	0	19	55	0	21	5	775,000$
2	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	24	1	775,000$
3	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	22	5	859,167$
4	David Goyette (R)	0	X				100.00	50	50	50	50	50	50	55	50	50	50	50	50	50	50	50	0	19	50	0	21	9	775,000$
5	Kocha Delic (R)	0	X				100.00	50	50	50	50	50	50	55	50	50	50	50	50	50	50	50	0	20	50	0	21	9	775,000$
6	Francesco Pinelli	0		X	X		100.00	50	50	50	50	50	50	55	50	50	50	50	50	50	50	50	0	19	50	0	22	9	775,000$
7	Sasha Pastujov (R)	0		X	X		100.00	50	50	50	50	50	50	55	50	50	50	50	50	50	50	50	0	19	50	0	21	9	775,000$
8	Aiden Fink (R)	0	X	X	X		100.00	1	1	1	1	1	1	55	1	1	1	1	1	1	1	1	0	19	4	0	20	9	775,000$
9	Luca Pinelli (R)	0	X	X	X		100.00	1	1	1	1	1	1	55	1	1	1	1	1	1	1	1	0	19	4	0	20	9	775,000$
10	Vadim Moroz (R)	0	X	X	X		100.00	1	1	1	1	1	1	55	1	1	1	1	1	1	1	1	0	19	4	0	21	9	775,000$
11	Maveric Lamoureux (R)	0				X	100.00	50	50	50	50	50	50	55	50	50	50	50	50	50	50	50	0	19	50	0	21	9	775,000$
12	Tomas Hamara (R)	0				X	100.00	50	50	50	50	50	50	55	50	50	50	50	50	50	50	50	0	20	50	0	21	9	775,000$
13	Michael Benning (R)	0				X	100.00	50	50	50	50	50	50	55	50	50	50	50	50	50	50	50	0	20	50	0	23	9	775,000$

	TEAM AVERAGE						100.00	53	41	68	62	61	60	66	52	47	51	49	56	54	47	52	0	41	55

Show or Hide Columns

Filter Tips

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

#	Goalie Name	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Joel Daccord	0	100.00	89	91	93	89	88	91	90	87	89	90	79	60	72	0	76	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	74	71	0	24	7	2,250,000$
Scratches

	TEAM AVERAGE		100.00	85	78	83	90	79	85	82	78	80	83	71	53	59	0	75	79

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Daniel Sedin	80	80	80	80	80	80	80	SWE	46	6	1,000,000$

Show or Hide Columns

Filter Tips

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

#	Player Name	Team Name	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	FL	S1	S2	S3
1	David Kampf	Sudbury Wolves (SEA)	C	72	22	27	49	-5	8	0	96	136	122	33	67	18.03%	16	1674	23.26	7	6	13	20	127	1	2	3	6	79	7	3	58.09%	1322	28	28	0	0	0.59	2	5	0	7	6	1
2	Noah Cates	Sudbury Wolves (SEA)	LW	72	21	21	42	-14	6	0	90	117	172	57	107	12.21%	22	1651	22.94	5	9	14	30	126	1	0	1	4	57	5	4	52.51%	179	32	24	0	0	0.51	1	4	0	7	4	3
3	Seth Jones	Sudbury Wolves (SEA)	D	72	9	31	40	-7	20	0	109	148	136	54	50	6.62%	58	1908	26.50	6	10	16	37	142	0	2	2	6	120	2	0	0%	0	50	51	1	0	0.42	0	0	0	3	3	7
4	Josh Manson	Sudbury Wolves (SEA)	D	72	4	26	30	2	70	0	149	126	76	35	37	5.26%	80	1932	26.85	1	3	4	3	102	1	2	3	4	97	1	0	0%	0	46	53	0	0	0.31	0	0	0	2	1	3
5	Will Cuylle	Sudbury Wolves (SEA)	LW	72	18	12	30	-6	32	0	112	98	64	16	35	28.13%	28	1603	22.28	4	4	8	8	106	2	1	3	5	100	4	1	45.76%	59	16	21	0	1	0.37	1	7	0	3	5	5
6	Ilya Mikheyev	Sudbury Wolves (SEA)	RW	72	14	15	29	-6	2	0	90	89	98	25	53	14.29%	14	1474	20.48	6	8	14	13	108	0	0	0	0	1	3	1	54.39%	114	20	31	0	0	0.39	1	7	0	0	4	3
7	Luke Evangelista	Sudbury Wolves (SEA)	RW	72	5	23	28	-12	8	0	74	133	79	27	39	6.33%	17	1424	19.78	3	12	15	19	107	0	0	0	0	0	1	0	52.41%	477	13	21	0	0	0.39	0	1	0	0	0	1
8	Jakub Lauko	Sudbury Wolves (SEA)	LW	72	12	8	20	-8	31	5	95	105	66	25	42	18.18%	24	1617	22.47	2	1	3	16	126	0	1	1	0	106	3	1	47.31%	279	15	15	0	0	0.25	1	2	1	2	5	1
9	Vladislav Kolyachonok	Sudbury Wolves (SEA)	D	72	1	15	16	-13	10	0	65	107	42	21	28	2.38%	53	1831	25.43	1	3	4	9	139	0	1	1	1	92	0	1	0%	0	23	46	0	0	0.17	0	0	0	0	1	1
10	Filip Chytil	Sudbury Wolves (SEA)	C/LW	72	7	6	13	-1	10	0	79	71	41	17	26	17.07%	10	1083	15.04	1	1	2	4	13	2	0	2	2	66	2	0	47.87%	188	14	19	0	0	0.24	1	1	0	2	2	0
11	Jack Rathbone	Sudbury Wolves (SEA)	D	72	1	5	6	-3	46	0	65	77	14	12	9	7.14%	24	1400	19.45	1	2	3	4	83	0	1	1	0	57	0	0	0%	0	4	13	0	0	0.09	0	0	0	0	0	3
12	Danila Klimovich	Sudbury Wolves (SEA)	RW	72	4	1	5	0	22	0	131	47	16	6	5	25.00%	6	818	11.37	0	0	0	1	9	0	0	0	0	0	0	0	18.18%	11	5	6	0	0	0.12	0	0	0	2	1	0
13	Nikita Alexandrov	Sudbury Wolves (SEA)	LW/RW	72	1	3	4	-1	0	0	61	58	10	5	7	10.00%	1	823	11.44	0	1	1	0	8	0	0	0	0	3	0	0	80.00%	10	1	11	0	0	0.10	0	0	0	0	0	1
14	Xavier Bourgault	Sudbury Wolves (SEA)	C	72	1	3	4	2	6	0	42	25	11	6	6	9.09%	3	386	5.37	0	0	0	0	0	0	0	0	0	8	1	0	44.44%	90	0	5	0	0	0.21	0	0	0	0	1	0
15	Andrew Peeke	Sudbury Wolves (SEA)	D	39	0	1	1	1	0	0	18	43	6	2	3	0%	8	570	14.64	0	0	0	0	3	0	0	0	0	20	0	0	0%	0	3	6	0	0	0.04	0	0	0	0	0	1
16	A.J. Greer	Sudbury Wolves (SEA)	LW	72	1	0	1	4	0	0	17	8	3	2	1	33.33%	1	177	2.46	0	0	0	0	0	0	0	0	0	0	1	0	0%	2	0	1	0	0	0.11	0	0	0	1	0	0
17	Brendan Brisson	Sudbury Wolves (SEA)	LW/RW	72	0	1	1	-1	0	0	1	2	4	1	3	0%	0	117	1.63	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	1	1	0	0	0	0.17	0	0	0	0	0	0
18	Zack Ostapchuk	Sudbury Wolves (SEA)	C	72	0	0	0	1	0	0	0	0	0	0	0	0%	0	6	0.09	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	2	0	0	0	0	0	0	0	0	0	0	0
19	Maveric Lamoureux	Sudbury Wolves (SEA)	D	33	0	0	0	-3	2	0	9	7	0	1	0	0%	1	292	8.85	0	0	0	0	0	0	0	0	0	9	0	0	0%	0	1	1	0	0	0	0	0	0	0	0	0
20	Justin Sourdif	Sudbury Wolves (SEA)	RW	38	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0.01	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
21	Drew Helleson	Sudbury Wolves (SEA)	D	54	0	0	0	3	18	0	34	23	5	1	4	0%	6	586	10.87	0	0	0	0	17	0	0	0	1	21	0	0	0%	0	0	3	0	0	0	0	0	0	0	0	0
22	Tomas Hamara	Sudbury Wolves (SEA)	D	18	0	0	0	-2	0	0	6	5	0	1	0	0%	1	121	6.75	0	0	0	0	0	0	0	0	0	2	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0
Team Total or Average				1406	121	198	319	-69	291	5	1343	1425	965	347	522	12.54%	373	21504	15.30	37	60	97	164	1225	7	10	17	29	847	30	11	53.99%	2734	272	355	1	1	0.30	7	27	1	29	33	30

Show or Hide Columns

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Joel Daccord	Sudbury Wolves (SEA)	72	35	28	9	0.892	1.73	4347	9	125	1161	509	2	4	0.857	28	72	0	3	3	2
2	Arturs Silovs	Sudbury Wolves (SEA)	1	0	0	0	1.000	0	13	0	0	6	3	0	0	0	0	0	72	0	0	0
Team Total or Average			73	35	28	9	0.893	1.72	4360	9	125	1167	512	2	4		28	72	72	3	3	2

Show or Hide Columns

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
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	-	-	-	-	-	-	-	NHL Link
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	-	-	-	-	-	Link / NHL Link
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	-	-	-	-	-	Link
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	-	-	-	Link / NHL Link
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	-	-	-	Link / NHL Link
Francesco Pinelli	Sudbury Wolves (SEA)	LW/RW	22	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	-	-	-	-	-	Link / NHL Link
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	-	-	-	-	-	-	-	Link / NHL Link
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	-	-	-	-	-	-	-	Link
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 (1 Way Contract)	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$	1,960,000$	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	-	-	-	-	-	Link / NHL Link
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	-	-	-	-	-	Link / NHL Link
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	-	-	-	-	-	Link / NHL Link
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	-	-	-	-	-	-	-	Link / NHL Link
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 (1 Way Contract)	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$	3,210,345$	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	-	Link / NHL Link
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	-	-	-	-	-	Link
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	-	-	-	-	-	-	-

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
35	24.03	189 Lbs	6 ft1	6.09	1,514,179$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	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

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Vladislav Kolyachonok	Josh Manson	40	1	2	2
2	Seth Jones	Jack Rathbone	30	1	2	2
3	Seth Jones	Josh Manson	20	1	2	2
4	Seth Jones	Vladislav Kolyachonok	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	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

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Seth Jones	Vladislav Kolyachonok	60	1	2	2
2	Jack Rathbone	Josh Manson	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jakub Lauko	Will Cuylle	60	1	2	2
2	David Kampf	Noah Cates	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Josh Manson	Seth Jones	60	1	2	2
2	Jack Rathbone	Vladislav Kolyachonok	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	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	Jack Rathbone	Seth Jones	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jakub Lauko	Will Cuylle	60	1	2	2
2	David Kampf	Noah Cates	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Seth Jones	Josh Manson	60	1	2	2
2	Vladislav Kolyachonok	Jack Rathbone	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Will Cuylle	David Kampf	Noah Cates	Seth Jones	Josh Manson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Will Cuylle	David Kampf	Noah Cates	Seth Jones	Josh Manson

Extra Forwards
Normal	PowerPlay	Penalty Kill
David Kampf, Will Cuylle, Jakub Lauko	Will Cuylle, David Kampf	Jakub Lauko

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Seth Jones, Vladislav Kolyachonok, Josh Manson	Josh Manson	Josh Manson, Vladislav Kolyachonok

Penalty Shots
Ilya Mikheyev, Will Cuylle, David Kampf, Noah Cates, Jakub Lauko

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

Custom OT Lines Forwards
Ilya Mikheyev, Will Cuylle, David Kampf, Noah Cates, Jakub Lauko, Danila Klimovich, Filip Chytil, Luke Evangelista, A.J. Greer, Brendan Brisson

Custom OT Lines Defensemen
Josh Manson, Seth Jones, Jack Rathbone, Vladislav Kolyachonok, Andrew Peeke

Show or Hide Columns

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	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	0	0	0	1	0	0	1	2	-1	1	0	0	0	0	1	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	1	2	3	0	0	15	42	58	13	22	169	308	449	66	20	7	4	9	4	1	25.00%	2	1	50.00%	0	567	1008	56.25%	556	1064	52.26%	353	601	58.74%	1289	443	1229	769	1847	980
2	Cleveland Monsters	8	3	3	0	1	0	1	0	13	13	0	4	2	1	0	0	0	1	0	7	5	2	4	1	2	0	1	0	0	0	6	8	-2	10	0.625	13	20	33	1	2	15	42	58	13	94	169	308	449	66	95	35	28	146	15	5	33.33%	14	5	64.29%	1	567	1008	56.25%	556	1064	52.26%	353	601	58.74%	1289	443	1229	769	1847	980
3	Columbus River Dragons	7	1	4	0	1	1	0	0	13	20	-7	3	0	2	0	0	1	0	0	3	8	-5	4	1	2	0	1	0	0	0	10	12	-2	5	0.357	13	21	34	0	0	15	42	58	13	115	169	308	449	66	197	55	30	131	17	4	23.53%	15	3	80.00%	0	567	1008	56.25%	556	1064	52.26%	353	601	58.74%	1289	443	1229	769	1847	980
4	Greenville Swamp Rabbits	8	2	3	0	1	0	1	1	11	10	1	4	0	2	0	1	0	0	1	5	7	-2	4	2	1	0	0	0	1	0	6	3	3	9	0.563	11	17	28	0	2	15	42	58	13	107	169	308	449	66	126	34	34	143	10	1	10.00%	17	5	70.59%	0	567	1008	56.25%	556	1064	52.26%	353	601	58.74%	1289	443	1229	769	1847	980
5	Hershey Bears	2	2	0	0	0	0	0	0	6	1	5	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	0	3	4	1.000	6	8	14	0	1	15	42	58	13	29	169	308	449	66	5	2	19	47	4	2	50.00%	7	1	85.71%	3	567	1008	56.25%	556	1064	52.26%	353	601	58.74%	1289	443	1229	769	1847	980
6	IUP Crimson Hawks	2	0	1	0	0	1	0	0	1	3	-2	1	0	0	0	0	1	0	0	1	2	-1	1	0	1	0	0	0	0	0	0	1	-1	1	0.250	1	2	3	0	0	15	42	58	13	24	169	308	449	66	19	6	10	38	2	0	0.00%	5	1	80.00%	0	567	1008	56.25%	556	1064	52.26%	353	601	58.74%	1289	443	1229	769	1847	980
7	Jacksonville Lizard Kings	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	3	5	8	0	0	15	42	58	13	23	169	308	449	66	38	7	8	19	5	2	40.00%	4	0	100.00%	0	567	1008	56.25%	556	1064	52.26%	353	601	58.74%	1289	443	1229	769	1847	980
8	Lillehammer IK	1	0	1	0	0	0	0	0	0	2	-2	1	0	1	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	15	42	58	13	5	169	308	449	66	19	5	2	23	5	0	0.00%	1	0	100.00%	0	567	1008	56.25%	556	1064	52.26%	353	601	58.74%	1289	443	1229	769	1847	980
9	O'Fallon Madcats	8	3	2	0	0	2	1	0	12	13	-1	4	2	1	0	0	1	0	0	6	5	1	4	1	1	0	0	1	1	0	6	8	-2	10	0.625	12	20	32	1	1	15	42	58	13	76	169	308	449	66	80	19	26	160	22	4	18.18%	13	2	84.62%	0	567	1008	56.25%	556	1064	52.26%	353	601	58.74%	1289	443	1229	769	1847	980
10	Orlando Solar Bears	2	0	2	0	0	0	0	0	2	8	-6	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	2	4	6	0	0	15	42	58	13	39	169	308	449	66	39	13	8	34	8	0	0.00%	4	2	50.00%	0	567	1008	56.25%	556	1064	52.26%	353	601	58.74%	1289	443	1229	769	1847	980
11	San Diego Spartans	8	1	5	0	2	0	0	0	11	19	-8	4	1	2	0	1	0	0	0	7	9	-2	4	0	3	0	1	0	0	0	4	10	-6	6	0.375	11	16	27	1	0	15	42	58	13	105	169	308	449	66	187	83	50	161	13	1	7.69%	25	4	84.00%	0	567	1008	56.25%	556	1064	52.26%	353	601	58.74%	1289	443	1229	769	1847	980
12	Saskatoon Blades	2	1	1	0	0	0	0	0	2	2	0	1	1	0	0	0	0	0	0	2	1	1	1	0	1	0	0	0	0	0	0	1	-1	2	0.500	2	2	4	0	0	15	42	58	13	28	169	308	449	66	41	14	0	23	3	1	33.33%	0	0	0%	0	567	1008	56.25%	556	1064	52.26%	353	601	58.74%	1289	443	1229	769	1847	980
13	Skelleftea AIK	2	0	1	0	0	1	0	0	3	5	-2	1	0	0	0	0	1	0	0	2	3	-1	1	0	1	0	0	0	0	0	1	2	-1	1	0.250	3	5	8	0	0	15	42	58	13	36	169	308	449	66	51	9	10	31	4	1	25.00%	5	0	100.00%	1	567	1008	56.25%	556	1064	52.26%	353	601	58.74%	1289	443	1229	769	1847	980
14	Sydney Ice Dogs	6	2	1	0	0	1	1	1	8	8	0	3	1	1	0	0	0	0	1	3	5	-2	3	1	0	0	0	1	1	0	5	3	2	8	0.667	8	9	17	1	0	15	42	58	13	77	169	308	449	66	79	24	14	115	13	3	23.08%	7	1	85.71%	0	567	1008	56.25%	556	1064	52.26%	353	601	58.74%	1289	443	1229	769	1847	980
15	Tucson Roadrunners	4	0	2	0	1	0	1	0	4	6	-2	2	0	2	0	0	0	0	0	0	4	-4	2	0	0	0	1	0	1	0	4	2	2	4	0.500	4	4	8	0	0	15	42	58	13	44	169	308	449	66	63	18	14	77	8	0	0.00%	7	3	57.14%	1	567	1008	56.25%	556	1064	52.26%	353	601	58.74%	1289	443	1229	769	1847	980
16	Utica Comets	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	2	0	2	4	1.000	6	11	17	0	1	15	42	58	13	36	169	308	449	66	19	2	4	37	5	2	40.00%	2	1	50.00%	0	567	1008	56.25%	556	1064	52.26%	353	601	58.74%	1289	443	1229	769	1847	980
17	Wheeling Nailers	8	7	1	0	0	0	0	0	30	11	19	4	3	1	0	0	0	0	0	11	4	7	4	4	0	0	0	0	0	0	19	7	12	14	0.875	30	52	82	0	2	15	42	58	13	105	169	308	449	66	93	40	30	149	24	10	41.67%	15	4	73.33%	1	567	1008	56.25%	556	1064	52.26%	353	601	58.74%	1289	443	1229	769	1847	980
	Total	72	24	28	0	6	7	5	2	126	131	-5	36	12	14	0	2	5	1	2	56	66	-10	36	12	14	0	4	2	4	0	70	65	5	79	0.549	126	198	324	4	9	15	42	58	13	965	169	308	449	66	1171	373	291	1343	162	37	22.84%	143	33	76.92%	7	567	1008	56.25%	556	1064	52.26%	353	601	58.74%	1289	443	1229	769	1847	980
	_Since Last GM Reset	72	24	28	0	6	7	5	2	126	131	-5	36	12	14	0	2	5	1	2	56	66	-10	36	12	14	0	4	2	4	0	70	65	5	79	0.549	126	198	324	4	9	15	42	58	13	965	169	308	449	66	1171	373	291	1343	162	37	22.84%	143	33	76.92%	7	567	1008	56.25%	556	1064	52.26%	353	601	58.74%	1289	443	1229	769	1847	980
	_Vs Conference	57	19	21	0	6	4	5	2	102	100	2	28	9	12	0	2	2	1	2	42	47	-5	29	10	9	0	4	2	4	0	60	53	7	66	0.579	102	159	261	4	7	15	42	58	13	723	169	308	449	66	920	308	226	1082	122	28	22.95%	113	27	76.11%	3	567	1008	56.25%	556	1064	52.26%	353	601	58.74%	1289	443	1229	769	1847	980
	_Vs Division	42	19	21	0	6	4	5	2	84	84	0	20	9	12	0	2	2	1	2	35	37	-2	22	10	9	0	4	2	4	0	49	47	2	66	0.786	84	136	220	2	4	15	42	58	13	568	169	308	449	66	769	247	172	788	101	25	24.75%	86	17	80.23%	3	567	1008	56.25%	556	1064	52.26%	353	601	58.74%	1289	443	1229	769	1847	980

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
72	79	W2	126	198	324	965	1171	373	291	1343	4	9

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
72	24	28	6	7	5	2	126	131

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	12	14	2	5	1	2	56	66

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	12	14	4	2	4	0	70	65

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	4	0	2	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
162	37	22.84%	143	33	76.92%	7

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
169	308	449	66	15	42	58	13

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
567	1008	56.25%	556	1064	52.26%	353	601	58.74%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1289	443	1229	769	1847	980

Last Played Games Show or Hide Columns

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
2	9	Cleveland Monsters	2	Sudbury Wolves	3	W			BoxScore
3	19	San Diego Spartans	3	Sudbury Wolves	0	L			BoxScore
5	30	Sudbury Wolves	4	Columbus River Dragons	3	W			BoxScore
6	37	O'Fallon Madcats	3	Sudbury Wolves	1	L			BoxScore
9	54	Columbus River Dragons	3	Sudbury Wolves	1	L			BoxScore
10	66	Sudbury Wolves	2	San Diego Spartans	1	W	X		BoxScore
11	73	Cleveland Monsters	0	Sudbury Wolves	2	W			BoxScore
12	81	Sudbury Wolves	2	Sydney Ice Dogs	1	W	X	X	BoxScore
13	89	Sudbury Wolves	2	Greenville Swamp Rabbits	0	W			BoxScore
15	96	Tucson Roadrunners	2	Sudbury Wolves	0	L			BoxScore
17	109	Greenville Swamp Rabbits	2	Sudbury Wolves	1	L	X	X	BoxScore
19	123	Sudbury Wolves	2	Cleveland Monsters	1	W	X		BoxScore
20	124	Sudbury Wolves	0	O'Fallon Madcats	3	L			BoxScore
21	131	Wheeling Nailers	3	Sudbury Wolves	1	L			BoxScore
22	143	Sudbury Wolves	6	Wheeling Nailers	2	W			BoxScore
23	148	Greenville Swamp Rabbits	2	Sudbury Wolves	1	L			BoxScore
25	162	Sudbury Wolves	2	Tucson Roadrunners	1	W	X		BoxScore
26	169	Sydney Ice Dogs	2	Sudbury Wolves	0	L			BoxScore
27	179	Sudbury Wolves	0	Greenville Swamp Rabbits	2	L			BoxScore
29	187	Wheeling Nailers	1	Sudbury Wolves	7	W			BoxScore
30	198	Columbus River Dragons	3	Sudbury Wolves	2	L	X		BoxScore
33	211	Sudbury Wolves	2	Columbus River Dragons	1	W	X		BoxScore
34	217	O'Fallon Madcats	1	Sudbury Wolves	0	L	X		BoxScore
35	229	Sudbury Wolves	1	Cleveland Monsters	4	L			BoxScore
36	235	Orlando Solar Bears	5	Sudbury Wolves	1	L			BoxScore
37	245	Sudbury Wolves	0	IUP Crimson Hawks	1	L			BoxScore
38	253	Utica Comets	3	Sudbury Wolves	4	W			BoxScore
39	259	Sudbury Wolves	0	Cleveland Monsters	2	L			BoxScore
40	268	Sudbury Wolves	1	San Diego Spartans	2	L			BoxScore
41	276	O'Fallon Madcats	0	Sudbury Wolves	2	W			BoxScore
43	283	Sudbury Wolves	2	O'Fallon Madcats	3	L	X		BoxScore
44	292	San Diego Spartans	2	Sudbury Wolves	0	L			BoxScore
45	302	Sudbury Wolves	1	Columbus River Dragons	4	L			BoxScore
46	310	Hershey Bears	1	Sudbury Wolves	3	W			BoxScore
49	323	Sudbury Wolves	2	O'Fallon Madcats	1	W	X	X	BoxScore
50	329	Greenville Swamp Rabbits	2	Sudbury Wolves	3	W	X		BoxScore
51	343	Tucson Roadrunners	2	Sudbury Wolves	0	L			BoxScore
53	355	Sudbury Wolves	3	Wheeling Nailers	1	W			BoxScore
54	361	Cleveland Monsters	3	Sudbury Wolves	1	L			BoxScore
55	371	Sudbury Wolves	0	San Diego Spartans	4	L			BoxScore
56	375	Sudbury Wolves	2	Greenville Swamp Rabbits	0	W			BoxScore
57	383	Greenville Swamp Rabbits	1	Sudbury Wolves	0	L			BoxScore
59	398	Saskatoon Blades	1	Sudbury Wolves	2	W			BoxScore
60	408	Sudbury Wolves	1	Orlando Solar Bears	3	L			BoxScore
61	413	Sudbury Wolves	2	Wheeling Nailers	1	W			BoxScore
62	419	Wheeling Nailers	0	Sudbury Wolves	2	W			BoxScore
64	428	Sudbury Wolves	2	Tucson Roadrunners	1	W	X	X	BoxScore
65	436	San Diego Spartans	3	Sudbury Wolves	4	W	X		BoxScore
67	448	Sudbury Wolves	2	Greenville Swamp Rabbits	1	W	X	X	BoxScore
68	454	Sydney Ice Dogs	2	Sudbury Wolves	1	L	X	X	BoxScore
69	463	Sudbury Wolves	3	Sydney Ice Dogs	1	W			BoxScore
70	474	IUP Crimson Hawks	2	Sudbury Wolves	1	L	X		BoxScore
72	487	Cleveland Monsters	0	Sudbury Wolves	1	W	X	X	BoxScore
73	494	Sudbury Wolves	0	Saskatoon Blades	1	L			BoxScore
74	503	Sudbury Wolves	2	O'Fallon Madcats	1	W			BoxScore
75	510	San Diego Spartans	1	Sudbury Wolves	3	W			BoxScore
77	522	Lillehammer IK	2	Sudbury Wolves	0	L			BoxScore
79	532	Sudbury Wolves	1	San Diego Spartans	3	L			BoxScore
80	541	Sydney Ice Dogs	1	Sudbury Wolves	2	W			BoxScore
82	552	Sudbury Wolves	2	Utica Comets	0	W			BoxScore
83	559	Calgary Canucks	2	Sudbury Wolves	1	L	X		BoxScore
84	568	Sudbury Wolves	3	Hershey Bears	0	W			BoxScore
85	574	Sudbury Wolves	1	Skelleftea AIK	2	L			BoxScore
86	580	Wheeling Nailers	0	Sudbury Wolves	1	W			BoxScore
87	593	O'Fallon Madcats	1	Sudbury Wolves	3	W			BoxScore
89	602	Sudbury Wolves	3	Columbus River Dragons	4	L			BoxScore
90	607	Sudbury Wolves	3	Jacksonville Lizard Kings	5	L			BoxScore
91	616	Skelleftea AIK	3	Sudbury Wolves	2	L	X		BoxScore
92	630	Columbus River Dragons	2	Sudbury Wolves	0	L			BoxScore
93	634	Sudbury Wolves	0	Sydney Ice Dogs	1	L	X		BoxScore
95	647	Sudbury Wolves	8	Wheeling Nailers	3	W			BoxScore
96	651	Sudbury Wolves	3	Cleveland Monsters	1	W			BoxScore
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	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
5	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
4,228,406$	3,769,626$	3,769,626$	1,000,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	3,363,542$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	15	42,970$	644,550$

Sudbury Wolves Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	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	154	43	75	118	-13	22	197	331	268	16.04%	45	3584	23.28	12	25	37	48	1	2	3	14	12	5	57.86%	1	0.66	2	9
2	Noah Cates	154	57	53	110	-31	14	193	249	411	13.87%	64	3513	22.81	16	19	35	76	1	0	1	8	12	8	52.50%	3	0.63	1	4
3	Will Cuylle	154	32	38	70	-11	79	246	231	186	17.20%	66	3421	22.22	6	6	12	21	2	3	5	9	12	3	47.48%	1	0.41	2	13
4	Jakub Lauko	154	28	30	58	-19	61	235	264	154	18.18%	65	3436	22.31	9	7	16	46	1	2	3	2	7	1	46.02%	0	0.34	1	2
5	Seth Jones	72	9	31	40	-7	20	109	148	136	6.62%	58	1908	26.50	6	10	16	37	0	2	2	6	2	0	0%	0	0.42	0	0

Sudbury Wolves Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Joel Daccord	72	35	28	9	0.892	1.73	4347	9	125	1161	509	2	4	0.857	28
2	Anton Forsberg	82	34	35	12	0.892	2.17	4813	9	174	1618	684	0	5	0.467	15
3	Arturs Silovs	7	0	0	1	0.864	2.91	165	0	8	59	26	0	0	0	0

Sudbury Wolves Career Team Stats

Show or Hide Columns

	Overall											Home											Visitor
Year	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
Regular Season
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	72	24	28	0	6	7	5	2	126	131	-5	36	12	14	0	2	5	1	2	56	66	-10	36	12	14	0	4	2	4	0	70	65	5	79	126	198	324	4	9	15	42	58	13	965	169	308	449	66	1171	373	291	1343	162	37	22.84%	143	33	76.92%	7	567	1008	56.25%	556	1064	52.26%	353	601	58.74%	1289	443	1229	769	1847	980
Total Regular Season	154	51	63	0	12	15	6	7	283	323	-40	77	29	28	0	6	8	1	5	147	161	-14	77	22	35	0	6	7	5	2	136	162	-26	160	283	453	736	9	18	34	100	131	21	2199	411	720	972	139	2847	950	673	2920	359	77	21.45%	324	80	75.31%	10	1220	2175	56.09%	1283	2507	51.18%	775	1376	56.32%	2711	957	2775	1657	3851	2017
Playoff
Total Playoff	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 Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	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 Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Sudbury Wolves
	GP: 72 \| W: 35 \| L: 28 \| OTL: 9 \| P: 79 GF: 126 \| GA: 131 \| PP%: 22.84% \| PK%: 76.92% GM : Tyler Villeneuve \| Morale : 39 \| Team Overall : 57 Next Games #657 vs Sydney Ice Dogs