Canadian Hockey League

Islanders
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Career

Game Center
	Draveurs 4-2-0, 8pts	2	FINAL	4	Vikings 4-2-0, 8pts

Team Stats
W1	Streak	W2
3-0-0	Home Record	4-1-0
1-2-0	Away Record	0-1-0
4-2-0	Last 10 Games	4-2-0
4.17	Goals Per Game	3.50
3.83	Goals Against Per Game	3.17
8.00%	Power Play Percentage	16.67%
76.47%	Penalty Kill Percentage	82.35%

Iceberg
3-3-0, 6pts

FINAL

Vikings
4-2-0, 8pts

Team Stats
L1	Streak	W2
2-1-0	Home Record	4-1-0
1-2-0	Away Record	0-1-0
3-3-0	Last 10 Games	4-2-0
4.17	Goals Per Game	3.50
4.33	Goals Against Per Game	3.17
15.79%	Power Play Percentage	16.67%
75.00%	Penalty Kill Percentage	82.35%

Team Leaders
	Goals Justin Sourdif 5	Assists Marc Gatcomb 5

	Points Marc Gatcomb 9	Plus/Minus Isak Rosen 3

	Wins Alex Nedeljkovic 4	Save Percentage Alex Nedeljkovic 0.905

Team Stats
Goals For 21 3.50 GFG	Shots For 156 26.00 Avg	Power Play Percentage 16.7% 3 GF	Offensive Zone Start 35.4%
Goals Against 19 3.17 GAA	Shots Against 199 33.17 Avg	Penalty Kill Percentage 82.4% 3 GA	Defensive Zone Start 43.2%

Team Info
	General Manager	Karel Lefebvre
	Coach	Karl Taylor
	Division	Pacific
	Conference	Western
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	24
	Farm Team	19
	Contract Limit	43 / 50
	Prospects	51
Team History
	This Season	4-2-0 (8PTS)
	History	844-649-140 (0.517%)
	Playoff Appearances	11
	Playoff Record (W-L)	35-58
	Stanley Cup	0

Show or Hide Column

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	Austin Watson		X			100.00	99	77	64	75	88	68	52	54	40	40	69	64	40	88	78	30	25	62	0	33	1	1,000,000$
2	Marc Gatcomb (R)	X				100.00	99	54	84	76	63	71	70	54	40	42	67	66	40	74	73	65	25	62	0	26	3	575,000$
3	Isak Rosen			X		100.00	47	43	87	83	51	70	60	62	40	56	68	64	40	66	68	85	28	61	0	22	1	925,000$
4	Egor Sokolov			X		100.00	88	79	86	75	76	81	71	50	40	45	55	50	40	72	77	70	25	59	0	25	1	1,150,000$
5	Justin Sourdif		X			100.00	53	47	63	82	47	60	50	57	40	54	61	64	40	68	64	80	31	58	0	23	2	800,000$
6	Konsta Helenius (R)	X				100.00	59	47	81	89	54	74	64	47	70	46	48	59	69	60	67	99	32	58	0	19	3	925,000$
7	Tristen Robins		X			100.00	56	49	81	75	52	65	55	43	70	43	42	50	40	70	68	75	24	52	0	24	1	925,000$
8	Aleksandr Kisakov		X			100.00	39	38	78	75	42	60	50	38	40	26	49	60	40	68	64	80	28	50	0	23	1	925,000$
9	Ethan Del Mastro				X	100.00	79	55	85	75	74	80	60	57	40	54	60	73	40	66	73	85	28	67	0	22	2	925,000$
10	Grant Hutton				X	100.00	63	54	84	75	72	72	52	51	40	53	50	70	40	82	77	45	25	63	0	30	3	575,000$
11	Josiah Didier				X	100.00	78	60	72	75	80	62	57	31	40	28	34	70	40	86	74	35	23	61	0	32	3	575,000$
12	Hunter Brzustewicz (R)				X	100.00	64	47	86	87	59	74	69	45	40	52	39	51	40	64	69	90	28	60	0	21	3	925,000$
13	Kevin Connauton				X	100.00	84	52	62	75	65	60	55	40	40	36	43	55	40	92	76	20	26	59	0	35	2	575,000$
14	Andrew Perrott				X	100.00	74	82	46	75	65	55	50	35	40	33	36	69	40	70	63	75	25	58	0	24	3	575,000$
Scratches
1	John Leonard		X			100.00	62	46	84	82	54	81	71	60	40	48	70	70	60	76	79	60	19	64	0	27	2	800,000$
2	Nikita Alexandrov	X				100.00	70	44	82	85	55	60	50	67	70	68	66	64	65	72	66	70	19	64	0	25	1	1,100,000$
3	Logan Brown	X				100.00	57	59	82	75	86	60	50	61	70	65	57	61	90	76	68	60	19	62	0	27	3	575,000$
4	Cross Hanas		X			100.00	46	42	81	75	58	67	57	37	40	31	43	58	99	68	68	80	20	51	0	23	1	925,000$
5	Justin Gill (R)		X			100.00	66	52	78	85	61	60	50	33	40	34	32	50	40	66	63	85	22	50	0	22	1	575,000$
6	Dmitry Zlodeev	X				100.00	53	54	88	75	51	60	50	27	70	20	34	55	40	68	64	80	19	46	0	23	1	750,000$
7	Brad Hunt				X	100.00	48	40	85	76	43	55	50	46	40	50	42	51	40	96	76	10	20	55	0	37	2	575,000$

	TEAM AVERAGE					100.00	66	53	78	78	62	66	57	47	47	44	51	61	49	74	70	66	24	58

Show or Hide Column

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	Alex Nedeljkovic	100.00	89	76	79	87	74	71	72	76	76	75	84	80	76	50	27	75	0	29	1	1,850,000$
2	Troy Grosenick	100.00	78	50	60	84	60	58	54	55	54	55	95	94	76	15	21	62	0	36	2	575,000$
Scratches
1	Alex Lyon	100.00	88	67	64	87	77	76	75	79	78	77	99	88	82	30	12	76	0	33	5	3,000,000$

	TEAM AVERAGE	100.00	85	64	68	86	70	68	67	70	69	69	93	87	78	32	20	71

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Karl Taylor	71	78	65	58	89	50	62	CAN	54	3	100,000$

Show or Hide Column

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	FO%	FOT	P/20	S1	S2	S3
1	Marc Gatcomb	Vikings (Nyi)	C	6	4	5	9	1	4	21	15	24	5	12	16.67%	1	128	21.44	1	1	2	5	13	0	4	1	45.33%	150	1.40	2	0	0
2	Justin Sourdif	Vikings (Nyi)	LW	6	5	3	8	0	0	1	16	18	6	14	27.78%	0	133	22.29	0	1	1	1	12	1	11	1	53.85%	13	1.20	0	3	0
3	Isak Rosen	Vikings (Nyi)	RW	6	2	5	7	3	0	0	16	20	10	19	10.00%	2	143	24.00	0	1	1	1	15	0	0	1	40.00%	5	0.97	0	1	1
4	Andrew Perrott	Vikings (Nyi)	D	6	1	5	6	2	4	24	3	3	1	4	33.33%	12	94	15.75	0	0	0	2	2	0	2	0	0.00%	0	1.27	1	0	1
5	Ethan Del Mastro	Vikings (Nyi)	D	6	0	4	4	-2	6	34	9	12	2	7	0.00%	17	142	23.80	0	1	1	5	15	0	12	0	0.00%	0	0.56	0	1	0
6	Konsta Helenius	Vikings (Nyi)	C	6	0	3	3	-2	0	5	13	7	3	3	0.00%	1	92	15.39	0	0	0	0	2	0	3	0	58.75%	80	0.65	0	0	1
7	Josiah Didier	Vikings (Nyi)	D	6	1	1	2	3	4	11	2	5	0	3	20.00%	5	119	19.87	1	0	1	3	14	0	9	0	0.00%	0	0.34	0	0	1
8	Egor Sokolov	Vikings (Nyi)	RW	6	1	1	2	0	2	11	2	11	1	8	9.09%	2	145	24.27	0	0	0	0	13	0	6	0	20.00%	15	0.27	0	0	0
9	Kevin Connauton	Vikings (Nyi)	D	6	0	2	2	3	4	28	4	0	0	5	0.00%	3	123	20.55	0	1	1	0	13	0	10	0	0.00%	0	0.32	1	0	0
10	Austin Watson	Vikings (Nyi)	LW	6	1	1	2	2	8	23	10	16	1	11	6.25%	3	115	19.17	1	0	1	2	16	0	12	0	45.45%	11	0.35	0	0	0
11	Grant Hutton	Vikings (Nyi)	D	6	0	2	2	-2	2	6	4	8	1	3	0.00%	12	141	23.64	0	1	1	5	14	0	13	0	0.00%	0	0.28	0	0	0
12	Aleksandr Kisakov	Vikings (Nyi)	LW	5	1	1	2	3	0	1	1	3	0	1	33.33%	0	30	6.01	0	0	0	0	0	0	0	0	25.00%	4	1.33	1	0	0
13	Hunter Brzustewicz	Vikings (Nyi)	D	6	0	2	2	0	0	3	3	1	0	1	0.00%	3	107	17.83	0	0	0	0	5	0	6	0	0.00%	1	0.37	0	0	0
14	Tristen Robins	Vikings (Nyi)	LW	6	1	0	1	-1	4	8	1	6	1	2	16.67%	0	83	13.90	0	0	0	0	3	0	1	0	66.67%	3	0.24	0	0	0
Team Total or Average				83	17	35	52	10	38	176	99	134	31	93	12.69%	61	1601	19.30	3	6	9	24	143	1	95	3	47.87%	282	0.65	5	5	4

Show or Hide Column

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	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Alex Nedeljkovic	Vikings (Nyi)	6	4	2	0	0.905	3.18	359	0	0	19	199	0	0	0	0.000	0	6	6	0	0	0
Team Total or Average			6	4	2	0	0.905	3.18	359	0	0	19	199	0	0	0	0.000	0	6	6	0	0	0

Show or Hide Column

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	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	2039	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	2040	2041	2042	2043	2044	Link
Aleksandr Kisakov	Vikings (Nyi)	LW	23	2002-11-01	No	170 Lbs	5 ft10	No	No	No	1	Pro & Farm	925,000$	0$	0$	No	RFA					Link / NHL Link
Alex Lyon	Vikings (Nyi)	G	33	1992-12-09	No	200 Lbs	6 ft1	Yes	No	Yes	5	Pro & Farm	3,000,000$	0$	0$	No	3,000,000$	3,000,000$	3,000,000$	3,000,000$	UFA	Link / NHL Link
Alex Nedeljkovic	Vikings (Nyi)	G	29	1996-01-07	No	190 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,850,000$	0$	0$	No	UFA					Link / NHL Link
Andrew Perrott	Vikings (Nyi)	D	24	2001-08-24	No	216 Lbs	5 ft10	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$	RFA			Link / NHL Link
Austin Watson	Vikings (Nyi)	LW	33	1992-01-13	No	238 Lbs	6 ft4	No	No	No	1	Pro & Farm	1,000,000$	0$	0$	No	UFA					Link / NHL Link
Brad Hunt	Vikings (Nyi)	D	37	1988-08-24	No	176 Lbs	5 ft9	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$	UFA				Link / NHL Link
Cross Hanas	Vikings (Nyi)	LW	23	2002-01-05	No	190 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	0$	0$	No	RFA					Link / NHL Link
Dmitry Zlodeev	Vikings (Nyi)	C	23	2002-02-15	No	183 Lbs	5 ft11	No	No	No	1	Pro & Farm	750,000$	0$	0$	No	RFA					Link / NHL Link
Egor Sokolov	Vikings (Nyi)	RW	25	2000-06-07	No	217 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,150,000$	0$	0$	No	RFA					Link / NHL Link
Ethan Del Mastro	Vikings (Nyi)	D	22	2003-01-15	No	210 Lbs	6 ft4	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	RFA				Link / NHL Link
Grant Hutton	Vikings (Nyi)	D	30	1995-07-25	No	210 Lbs	6 ft3	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$	UFA			Link / NHL Link
Hunter Brzustewicz	Vikings (Nyi)	D	21	2004-11-29	Yes	195 Lbs	6 ft0	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA			Link / NHL Link
Isak Rosen	Vikings (Nyi)	RW	22	2003-03-15	No	180 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	0$	0$	No	RFA					Link / NHL Link
John Leonard	Vikings (Nyi)	LW	27	1998-08-07	No	190 Lbs	5 ft11	No	No	No	2	Pro & Farm	800,000$	0$	0$	No	800,000$	UFA				Link / NHL Link
Josiah Didier	Vikings (Nyi)	D	32	1993-04-08	No	225 Lbs	6 ft3	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$	UFA			Link / NHL Link
Justin Gill	Vikings (Nyi)	LW	22	2003-01-27	Yes	195 Lbs	6 ft1	No	No	No	1	Pro & Farm	575,000$	0$	0$	No	RFA					Link / NHL Link
Justin Sourdif	Vikings (Nyi)	LW	23	2002-03-24	No	175 Lbs	5 ft11	No	No	No	2	Pro & Farm	800,000$	0$	0$	No	800,000$	RFA				Link / NHL Link
Kevin Connauton	Vikings (Nyi)	D	35	1990-02-23	No	200 Lbs	6 ft2	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$	UFA				Link / NHL Link
Konsta Helenius	Vikings (Nyi)	C	19	2006-05-11	Yes	189 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA			Link / NHL Link
Logan Brown	Vikings (Nyi)	C	27	1998-03-05	No	222 Lbs	6 ft7	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$	UFA			Link / NHL Link
Marc Gatcomb	Vikings (Nyi)	C	26	1999-07-22	Yes	195 Lbs	6 ft2	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$	UFA			Link / NHL Link
Nikita Alexandrov	Vikings (Nyi)	C	25	2000-09-16	No	188 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,100,000$	0$	0$	No	RFA					Link / NHL Link
Tristen Robins	Vikings (Nyi)	LW	24	2001-11-15	No	185 Lbs	5 ft11	No	No	No	1	Pro & Farm	925,000$	0$	0$	No	RFA					Link / NHL Link
Troy Grosenick	Vikings (Nyi)	G	36	1989-08-27	No	185 Lbs	6 ft1	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$	UFA				Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	26.71	197 Lbs	6 ft1	2.00	920,833$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Austin Watson		Isak Rosen	40	1	2	2
2	Justin Sourdif	Marc Gatcomb	Egor Sokolov	30	1	2	2
3	Tristen Robins	Konsta Helenius	Isak Rosen	20	1	2	2
4	Aleksandr Kisakov		Isak Rosen	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ethan Del Mastro	Grant Hutton	40	1	2	2
2	Josiah Didier	Kevin Connauton	30	1	2	2
3	Hunter Brzustewicz	Andrew Perrott	20	1	2	2
4	Ethan Del Mastro	Grant Hutton	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Austin Watson		Isak Rosen	60	1	2	2
2	Justin Sourdif	Marc Gatcomb	Egor Sokolov	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ethan Del Mastro	Grant Hutton	60	1	2	2
2	Josiah Didier	Kevin Connauton	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Austin Watson	60	1	2	2
2	Marc Gatcomb	Justin Sourdif	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ethan Del Mastro	Grant Hutton	60	1	2	2
2	Josiah Didier	Kevin Connauton	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2	Ethan Del Mastro	Grant Hutton	60	1	2	2
2	Marc Gatcomb	40	1	2	2	Josiah Didier	Kevin Connauton	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Austin Watson	60	1	2	2
2	Marc Gatcomb	Justin Sourdif	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ethan Del Mastro	Grant Hutton	60	1	2	2
2	Josiah Didier	Kevin Connauton	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Austin Watson		Isak Rosen	Ethan Del Mastro	Grant Hutton

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Austin Watson		Isak Rosen	Ethan Del Mastro	Grant Hutton

Extra Forwards
Normal	PowerPlay	Penalty Kill
Egor Sokolov, Justin Sourdif, Konsta Helenius	Egor Sokolov, Justin Sourdif	Egor Sokolov

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Kevin Connauton, Hunter Brzustewicz, Andrew Perrott	Kevin Connauton	Kevin Connauton, Hunter Brzustewicz

Penalty Shots
, Austin Watson, Marc Gatcomb, Isak Rosen, Egor Sokolov

Goalie
#1 : , #2 : Alex Nedeljkovic

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

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	Bandits	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	10	5	6	0	25	48	58	50	0	37	9	0	21	3	0	0.00%	0	0	0.00%	0	79	164	48.17%	90	200	45.00%	52	99	52.53%	147	104	138	38	74	38
2	Draveurs	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	10	5	6	0	33	48	58	50	0	24	11	4	29	5	2	40.00%	2	0	100.00%	0	79	164	48.17%	90	200	45.00%	52	99	52.53%	147	104	138	38	74	38
3	HC	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	8	13	0	0	10	5	6	0	22	48	58	50	0	38	10	8	31	1	0	0.00%	4	0	100.00%	0	79	164	48.17%	90	200	45.00%	52	99	52.53%	147	104	138	38	74	38
4	Iceberg	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	10	5	6	0	23	48	58	50	0	45	20	6	46	4	0	0.00%	3	0	100.00%	0	79	164	48.17%	90	200	45.00%	52	99	52.53%	147	104	138	38	74	38
5	Spiders	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	10	5	6	0	27	48	58	50	0	30	9	8	32	3	1	33.33%	3	1	66.67%	0	79	164	48.17%	90	200	45.00%	52	99	52.53%	147	104	138	38	74	38
6	WolfPack	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	6	10	0	0	10	5	6	0	26	48	58	50	0	25	5	12	25	2	0	0.00%	5	2	60.00%	0	79	164	48.17%	90	200	45.00%	52	99	52.53%	147	104	138	38	74	38
	Total	6	4	2	0	0	0	0	0	21	19	2	5	4	1	0	0	0	0	0	19	16	3	1	0	1	0	0	0	0	0	2	3	-1	8	0.667	21	36	57	0	0	10	5	6	0	156	48	58	50	0	199	64	38	184	18	3	16.67%	17	3	82.35%	0	79	164	48.17%	90	200	45.00%	52	99	52.53%	147	104	138	38	74	38
	_Since Last GM Reset	6	4	2	0	0	0	0	0	21	19	2	5	4	1	0	0	0	0	0	19	16	3	1	0	1	0	0	0	0	0	2	3	-1	8	0.667	21	36	57	0	0	10	5	6	0	156	48	58	50	0	199	64	38	184	18	3	16.67%	17	3	82.35%	0	79	164	48.17%	90	200	45.00%	52	99	52.53%	147	104	138	38	74	38
	_Vs Conference	5	4	1	0	0	0	0	0	19	15	4	4	4	0	0	0	0	0	0	17	12	5	1	0	1	0	0	0	0	0	2	3	-1	8	0.800	19	32	51	0	0	10	5	6	0	129	48	58	50	0	169	55	30	152	15	2	13.33%	14	2	85.71%	0	79	164	48.17%	90	200	45.00%	52	99	52.53%	147	104	138	38	74	38

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
6	8	W2	21	36	57	156	199	64	38	184	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	4	2	0	0	0	0	21	19

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	4	1	0	0	0	0	19	16

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	0	1	0	0	0	0	2	3

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
18	3	16.67%	17	3	82.35%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
48	58	50	0	10	5	6	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
79	164	48.17%	90	200	45.00%	52	99	52.53%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
147	104	138	38	74	38

Last Played Games Show or Hide Column

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	Link
Trade Deadline --- Trades can’t be done after this day is simulated!
5	28	Vikings	2	Bandits	3	AL	BoxScore
6	34	WolfPack	3	Vikings	4	BW	BoxScore
7	41	HC	4	Vikings	5	BW	BoxScore
9	58	Spiders	4	Vikings	2	BL	BoxScore
11	74	Draveurs	2	Vikings	4	BW	BoxScore
13	87	Iceberg	3	Vikings	4	BW	BoxScore

Vikings Stat Leaders (Regular Season)

Show or Hide Column

#	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	Andrew Hutchinson	1359	233	339	572	-70	1562	1858	1630	2211	10.54%	827	21612	15.90	38	55	93	192	6	7	13	67	30	7	46.28%	2	0.53	6	13
2	Tyler Toffoli	454	219	239	458	50	303	522	1019	1560	14.04%	128	9845	21.69	43	74	117	316	3	3	6	26	34	21	32.92%	4	0.93	10	42
3	Joey Hishon	300	137	183	320	-7	368	499	861	1041	13.16%	122	6731	22.44	38	50	88	184	3	0	3	19	24	12	50.19%	1	0.95	8	36
4	Justin Fontaine	293	102	189	291	74	122	282	851	794	12.85%	50	5672	19.36	26	75	101	187	1	1	2	10	18	7	40.45%	2	1.03	3	22
5	Cody Eakin	475	126	158	284	61	257	644	1078	997	12.64%	111	7858	16.54	21	36	57	137	1	0	1	21	27	8	54.98%	2	0.72	6	20

Vikings Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Michael Hutchinson	214	139	58	17	0.906	2.10	12883	8	28	450	4790	0	6	2	0.736	87
2	Matt Keetley	238	102	114	18	0.878	3.33	13858	12	5	770	6324	2812	12	2	0.746	63
3	Jakub Kovar	121	78	33	7	0.910	2.30	7038	12	11	270	2984	370	3	0	0.857	28
4	Adam Courchaine	99	39	32	13	0.887	2.69	5373	4	3	241	2142	260	6	2	0.686	35
5	Matt Keetley	90	35	42	5	0.880	3.62	4951	34	1	299	2497	1251	6	2	0.765	17

Vikings Career Team Stats

Show or Hide Column

	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
2017	82	29	42	0	2	4	4	1	273	302	-29	41	15	21	0	0	2	2	1	149	155	-6	41	14	21	0	2	2	2	0	124	147	-23	66	273	431	704	2	1	0	66	108	93	2584	0	787	930	851	2499	896	1619	2114	247	49	19.84%	305	70	77.05%	6	865	1842	46.96%	810	1714	47.26%	740	1441	51.35%	1646	833	1803	889	1665	816
2018	82	26	41	0	2	5	3	5	262	298	-36	41	15	22	0	0	2	1	1	135	151	-16	41	11	19	0	2	3	2	4	127	147	-20	61	262	413	675	0	0	0	56	99	102	2619	0	754	888	954	2441	822	1483	2144	219	48	21.92%	213	59	72.30%	9	1005	1859	54.06%	864	1621	53.30%	809	1409	57.42%	1675	858	1618	810	1680	836
2019	82	27	36	0	6	5	4	4	269	290	-21	41	11	19	0	4	3	2	2	126	149	-23	41	16	17	0	2	2	2	2	143	141	2	71	269	434	703	2	0	0	80	89	90	2569	0	757	939	840	2378	779	1246	2243	246	49	19.92%	193	62	67.88%	1	968	1892	51.16%	768	1657	46.35%	578	1262	45.80%	1767	947	1556	781	1651	832
2020	82	25	49	0	1	4	2	1	214	294	-80	41	12	27	0	1	0	1	0	104	156	-52	41	13	22	0	0	4	1	1	110	138	-28	56	214	329	543	1	2	0	48	65	98	2087	0	555	752	774	2372	860	1152	1738	223	41	18.39%	192	56	70.83%	3	758	1618	46.85%	722	1650	43.76%	517	1157	44.68%	1638	803	1572	784	1728	894
2021	82	41	27	0	4	0	4	6	194	156	38	41	24	10	0	2	0	1	4	104	73	31	41	17	17	0	2	0	3	2	90	83	7	90	194	329	523	3	8	0	59	61	66	1716	0	538	545	614	1521	443	833	1711	395	42	10.63%	311	41	86.82%	2	1122	2373	47.28%	1070	2216	48.29%	564	1128	50.00%	2029	1433	1944	595	1004	504
2022	80	25	32	0	2	4	10	7	182	191	-9	40	14	16	0	1	1	4	4	98	98	0	40	11	16	0	1	3	6	3	84	93	-9	58	182	293	475	0	10	0	64	57	49	1681	0	531	590	530	1591	494	749	1725	374	46	12.30%	306	51	83.33%	2	1013	2274	44.55%	977	2231	43.79%	569	1136	50.09%	1932	1345	1961	596	1005	496
2023	82	36	31	0	1	4	3	7	226	221	5	41	17	18	0	0	2	1	3	110	110	0	41	19	13	0	1	2	2	4	116	111	5	78	226	392	618	1	4	0	75	68	79	1817	0	548	617	635	1966	545	829	1823	417	64	15.35%	324	55	83.02%	5	1279	2368	54.01%	1241	2314	53.63%	627	1215	51.60%	2127	1532	1856	570	991	508
2024	82	53	15	0	3	1	5	5	303	182	121	41	29	6	0	2	0	2	2	161	87	74	41	24	9	0	1	1	3	3	142	95	47	128	303	523	826	2	11	0	110	96	89	2333	0	781	785	736	1707	492	682	1673	421	64	15.20%	275	46	83.27%	2	1487	2635	56.43%	1231	2224	55.35%	688	1240	55.48%	2147	1566	1832	583	995	509
2025	82	55	22	0	2	1	1	1	252	184	68	41	29	11	0	0	1	0	0	134	90	44	41	26	11	0	2	0	1	1	118	94	24	118	252	430	682	0	8	0	84	83	82	2155	0	715	697	732	2044	549	805	1968	388	60	15.46%	314	44	85.99%	1	1240	2446	50.70%	1292	2562	50.43%	584	1203	48.55%	2063	1503	1916	569	961	476
2026	82	37	27	0	2	6	6	4	196	187	9	41	18	16	0	1	1	3	2	90	91	-1	41	19	11	0	1	5	3	2	106	96	10	100	196	335	531	0	7	0	71	65	52	1751	0	579	580	569	1796	467	760	1726	373	42	11.26%	295	45	84.75%	2	1299	2281	56.95%	1198	2157	55.54%	666	1202	55.41%	2156	1547	1822	569	1011	523
2027	82	42	25	0	1	3	4	7	211	160	51	41	20	10	0	1	2	3	5	118	79	39	41	22	15	0	0	1	1	2	93	81	12	104	211	365	576	0	14	0	80	64	62	1838	0	626	620	577	1636	460	771	1735	359	63	17.55%	340	36	89.41%	4	1488	2413	61.67%	1349	2271	59.40%	750	1194	62.81%	2264	1618	1688	566	1030	552
2030	82	39	26	0	6	2	5	4	276	237	39	41	22	9	0	4	1	4	1	149	110	39	41	17	17	0	2	1	1	3	127	127	0	106	276	496	772	1	2	0	91	93	81	2218	0	705	749	740	2159	657	763	1986	384	61	15.89%	330	64	80.61%	2	1276	2490	51.24%	1263	2505	50.42%	621	1278	48.59%	2117	1549	1901	565	962	483
2031	82	46	21	0	3	2	5	5	200	166	34	41	19	13	0	2	0	4	3	100	85	15	41	27	8	0	1	2	1	2	100	81	19	115	200	360	560	1	15	0	74	58	60	1842	0	617	621	586	1754	512	742	1772	391	50	12.79%	311	49	84.24%	0	1360	2402	56.62%	1278	2349	54.41%	638	1143	55.82%	2092	1497	1890	585	996	508
2032	82	31	40	0	3	5	2	1	219	241	-22	41	13	25	0	1	1	0	1	103	127	-24	41	18	15	0	2	4	2	0	116	114	2	78	219	385	604	1	6	0	82	69	63	2151	0	701	720	709	2025	560	758	1976	375	50	13.33%	331	65	80.36%	6	1177	2509	46.91%	1055	2336	45.16%	533	1227	43.44%	2003	1436	1967	586	985	486
2033	82	27	39	0	1	2	10	3	246	273	-27	41	18	16	0	0	0	6	1	137	128	9	41	9	23	0	1	2	4	2	109	145	-36	81	246	434	680	1	2	0	81	86	68	2125	0	716	679	712	2300	612	847	2290	334	48	14.37%	369	71	80.76%	3	986	2416	40.81%	1098	2574	42.66%	522	1303	40.06%	1905	1318	2069	604	1013	493
2034	82	10	52	0	3	4	8	5	162	282	-120	41	6	25	0	1	2	4	3	77	133	-56	41	4	27	0	2	2	4	2	85	149	-64	51	162	273	435	2	1	0	64	44	43	1634	0	537	512	557	2369	691	764	2052	353	44	12.46%	340	56	83.53%	2	1004	2238	44.86%	1128	2578	43.75%	535	1197	44.70%	1925	1326	2051	601	1025	503
2035	82	38	32	0	5	1	4	2	315	293	22	41	20	14	0	4	0	3	0	156	142	14	41	18	18	0	1	1	1	2	159	151	8	97	315	585	900	0	3	0	118	97	91	3071	0	983	985	1067	2525	755	822	2186	336	50	14.88%	345	59	82.90%	4	1341	2938	45.64%	1222	2662	45.91%	623	1337	46.60%	1895	1362	2118	575	945	453
2036	80	23	42	0	4	3	2	6	208	272	-64	40	12	18	0	3	3	1	3	126	145	-19	40	11	24	0	1	0	1	3	82	127	-45	67	208	382	590	1	2	0	70	75	57	1750	0	551	588	590	2170	601	800	1851	355	61	17.18%	320	52	83.75%	1	1124	2219	50.65%	1102	2145	51.38%	679	1219	55.70%	2063	1462	1807	544	985	509
2037	82	40	27	0	5	2	3	5	313	268	45	41	23	12	0	1	1	1	3	169	140	29	41	17	15	0	4	1	2	2	144	128	16	103	313	592	905	1	3	125	93	87	13	2633	861	836	894	73	2415	712	872	2087	369	63	17.07%	368	62	83.15%	3	1187	2588	45.87%	1188	2594	45.80%	577	1279	45.11%	1934	1379	2066	591	972	474
2038	78	43	21	0	1	4	5	4	280	226	54	39	24	7	0	0	4	2	2	144	105	39	39	19	14	0	1	0	3	2	136	121	15	106	280	510	790	0	3	99	85	90	11	2172	709	727	715	48	2178	657	914	1957	319	67	21.00%	379	58	84.70%	2	1162	2304	50.43%	1232	2494	49.40%	587	1205	48.71%	2003	1456	1806	535	926	464
2039	6	4	2	0	0	0	0	0	21	19	2	5	4	1	0	0	0	0	0	19	16	3	1	0	1	0	0	0	0	0	2	3	-1	8	21	36	57	0	0	10	5	6	0	156	48	58	50	0	199	64	38	184	18	3	16.67%	17	3	82.35%	0	79	164	48.17%	90	200	45.00%	52	99	52.53%	147	104	138	38	74	38
Total Regular Season	1638	697	649	0	57	62	90	83	4822	4742	80	821	365	316	0	28	26	45	41	2509	2370	139	817	332	333	0	29	36	45	42	2313	2372	-59	1742	4822	8327	13149	19	102	234	1556	1560	1349	42902	1618	13602	14456	12894	42045	12628	18249	38941	6896	1065	15.44%	6178	1104	82.13%	60	23220	46269	50.18%	22178	45054	49.23%	12459	24874	50.09%	39539	26883	37392	12546	22612	11367
Playoff
2021	13	6	7	0	0	0	0	0	26	33	-7	7	5	2	0	0	0	0	0	15	17	-2	6	1	5	0	0	0	0	0	11	16	-5	12	26	44	70	0	1	0	7	9	7	265	0	85	75	94	277	102	173	257	72	9	12.50%	59	10	83.05%	0	182	397	45.84%	169	398	42.46%	79	187	42.25%	318	220	337	106	166	79
2022	5	1	4	0	0	0	0	0	6	11	-5	2	1	1	0	0	0	0	0	4	3	1	3	0	3	0	0	0	0	0	2	8	-6	2	6	12	18	0	0	0	0	0	6	90	0	25	40	25	119	27	51	120	29	2	6.90%	21	3	85.71%	0	45	141	31.91%	54	175	30.86%	33	65	50.77%	111	76	130	38	58	27
2023	4	0	4	0	0	0	0	0	4	14	-10	2	0	2	0	0	0	0	0	3	7	-4	2	0	2	0	0	0	0	0	1	7	-6	0	4	7	11	0	0	0	3	1	0	56	0	19	17	20	98	41	58	79	22	0	0.00%	28	5	82.14%	0	46	108	42.59%	51	120	42.50%	21	59	35.59%	87	58	102	30	50	23
2024	11	4	7	0	0	0	0	0	33	33	0	6	3	3	0	0	0	0	0	25	20	5	5	1	4	0	0	0	0	0	8	13	-5	8	33	57	90	0	0	0	16	9	8	340	0	123	109	93	344	115	118	259	50	5	10.00%	47	10	78.72%	0	217	386	56.22%	205	369	55.56%	86	169	50.89%	304	226	258	77	132	66
2025	24	15	9	0	0	0	0	0	67	58	9	12	7	5	0	0	0	0	0	34	33	1	12	8	4	0	0	0	0	0	33	25	8	30	67	115	182	1	2	0	28	19	17	642	0	219	178	218	596	167	257	549	124	15	12.10%	98	18	81.63%	1	361	774	46.64%	297	746	39.81%	135	352	38.35%	575	420	634	173	277	130
2026	4	0	4	0	0	0	0	0	5	10	-5	2	0	2	0	0	0	0	0	2	4	-2	2	0	2	0	0	0	0	0	3	6	-3	0	5	9	14	0	0	0	1	2	2	62	0	25	22	13	89	24	48	88	21	1	4.76%	22	2	90.91%	1	54	102	52.94%	71	133	53.38%	33	57	57.89%	93	62	97	33	55	26
2027	4	0	4	0	0	0	0	0	4	11	-7	2	0	2	0	0	0	0	0	3	6	-3	2	0	2	0	0	0	0	0	1	5	-4	0	4	5	9	0	0	0	1	0	3	65	0	11	20	34	90	24	44	85	16	2	12.50%	21	3	85.71%	0	69	115	60.00%	56	97	57.73%	30	47	63.83%	99	67	87	29	53	28
2030	6	2	4	0	0	0	0	0	20	26	-6	3	2	1	0	0	0	0	0	13	12	1	3	0	3	0	0	0	0	0	7	14	-7	4	20	33	53	0	0	0	11	5	4	152	0	58	47	47	215	55	32	122	31	5	16.13%	15	3	80.00%	0	93	174	53.45%	92	173	53.18%	44	95	46.32%	167	125	125	36	67	36
2031	11	4	7	0	0	0	0	0	31	33	-2	6	3	3	0	0	0	0	0	20	17	3	5	1	4	0	0	0	0	0	11	16	-5	8	31	53	84	1	0	0	8	8	14	242	0	68	69	100	288	82	96	260	51	8	15.69%	40	4	90.00%	1	196	314	62.42%	209	334	62.57%	103	172	59.88%	286	205	248	74	135	70
2037	6	2	4	0	0	0	0	0	20	25	-5	3	1	2	0	0	0	0	0	10	12	-2	3	1	2	0	0	0	0	0	10	13	-3	4	20	38	58	0	0	11	3	5	1	168	62	43	62	1	235	53	55	164	20	4	20.00%	22	5	77.27%	0	89	182	48.90%	112	214	52.34%	51	98	52.04%	157	115	136	38	70	37
2038	5	1	4	0	0	0	0	0	17	25	-8	3	1	2	0	0	0	0	0	8	9	-1	2	0	2	0	0	0	0	0	9	16	-7	2	17	29	46	0	0	9	7	0	1	157	44	65	37	11	185	59	70	160	24	2	8.33%	33	10	69.70%	1	84	178	47.19%	100	199	50.25%	51	93	54.84%	135	97	123	34	59	30
Total Playoff	93	35	58	0	0	0	0	0	233	279	-46	48	23	25	0	0	0	0	0	137	140	-3	45	12	33	0	0	0	0	0	96	139	-43	70	233	402	635	2	3	20	85	58	63	2239	106	741	676	656	2536	749	1002	2143	460	53	11.52%	406	73	82.02%	4	1436	2871	50.02%	1416	2958	47.87%	666	1394	47.78%	2336	1676	2281	673	1125	557

Vikings Stat Leaders (Play-Off)

Show or Hide Column

#	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
1	Igor Mirnov	47	23	20	43	4	63	94	133	215	10.70%	18	979	20.84	6	12	18	55	1	0	1	2	5	2	47.27%	2	0.88
2	Justin Fontaine	44	22	21	43	5	15	38	134	179	12.29%	9	874	19.87	9	5	14	48	0	0	0	0	4	3	40.91%	1	0.98
3	Tyler Toffoli	32	11	20	31	6	13	25	86	82	13.41%	8	652	20.40	4	4	8	19	0	0	0	1	3	1	35.29%	0	0.95
4	Vadim Shipachev	32	7	10	17	8	9	14	98	41	17.07%	5	437	13.69	0	0	0	0	1	1	2	2	0	0	60.00%	0	0.78
5	Jeremy Morin	25	10	5	15	-3	6	30	37	46	21.74%	3	378	15.15	0	1	1	3	0	0	0	0	1	0	38.89%	1	0.79

Vikings Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG
1	Jakub Kovar	24	15	7	2	0.904	2.30	1487	2	2	57	595	2	1
2	Jan Lasak	12	6	4	2	0.884	2.21	761	0	1	28	242	0	0
3	Andrew Raycroft	11	4	5	2	0.904	2.85	694	0	0	33	344	0	0
4	Michael Hutchinson	11	4	7	0	0.885	2.96	649	0	0	32	278	0	1
5	Cal Heeter	6	2	4	0	0.879	4.35	359	0	0	26	215	0	0