Wild
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance

Norsemen
0-0-0, 0pts

Day 1

Sens
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Grisards
0-0-0, 0pts

Day 3

Norsemen
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Phantoms
0-0-0, 0pts

Day 5

Norsemen
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Team Leaders

Team Stats

Team Info
	General Manager	Pascal
	Coach	Todd McLellan
	Division	North Division
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	8,500
	Attendance
	Season Tickets	850
Roster Info
	Pro Team	38
	Farm Team	20
	Contract Limit	58 / 65
	Prospects	20

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	Nathan Gaucher	X				100.00	66	50	88	66	85	75	90	63	64	63	63	71	65	51	60	0	99	0	0	22	2	650,000$
2	Wilmer Skoog	X				100.00	60	50	87	70	75	82	90	64	61	64	64	70	65	60	70	0	99	0	0	26	3	800,000$
3	Kevin He		X			100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	52	59	0	99	0	0	19	2	825,000$
4	Jeffrey Viel		X	X		100.00	81	66	78	73	80	78	83	71	61	68	66	72	65	63	65	0	99	0	0	28	2	785,000$
5	Glenn Gawdin	X				100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	74	73	0	99	0	0	28	1	655,000$
6	Anton Wahlberg	X				100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	59	0	99	0	1	20	1	1,250,000$
7	Oscar Fisker Molgaard	X	X	X		100.00	60	50	93	71	65	76	89	67	71	69	66	67	65	42	57	0	99	0	1	20	1	975,000$
8	Kasper Halttunen		X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	59	0	99	0	1	20	1	1,500,000$
9	Dominik Shine		X	X		100.00	60	56	85	73	67	75	88	71	61	71	71	68	65	64	68	0	99	0	0	32	3	925,000$
10	Jacob Gaucher	X	X	X		100.00	60	50	89	69	71	75	93	64	71	63	64	69	65	65	58	0	99	0	0	24	2	985,000$
11	Sam Morton	X				100.00	73	50	91	70	70	76	92	64	83	64	64	73	65	71	56	0	99	0	0	26	2	1,784,250$
12	Skyler BrindAmour	X				100.00	62	50	90	68	74	82	93	64	83	64	63	73	65	69	54	0	99	0	0	26	1	929,250$
13	Caleb Jones				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	62	70	0	99	0	0	28	2	995,000$
14	Joe Hicketts				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	75	74	0	99	0	0	29	2	650,000$
15	Daemon Hunt				X	100.00	66	50	94	77	73	79	79	72	25	69	65	74	65	55	61	0	99	0	0	23	2	1,150,000$
16	Stanislav Svozil				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	54	59	0	99	0	0	22	1	1,023,750$
17	David Jiricek				X	100.00	63	50	89	63	78	79	89	65	25	65	65	69	65	42	57	0	99	0	0	22	4	975,000$
18	Joel Nystrom				X	100.00	62	50	94	83	68	82	92	75	25	71	65	72	65	42	57	0	99	0	1	23	3	1,450,000$
Scratches
1	Ondrej Becher	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	52	59	0	99	0	0	21	2	1,250,000$
2	Olivier Nadeau	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	47	60	0	99	0	0	22	1	1,023,750$
3	Viktor Neuchev		X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	59	0	96	0	0	22	3	925,000$
4	Daylan Kuefler		X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	47	60	0	99	0	0	23	1	800,000$
5	Niko Huuhtanen		X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	59	0	99	0	1	22	1	700,000$
6	Austin Roest	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	59	0	99	0	1	21	1	700,000$
7	Brady Stonehouse		X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	59	0	99	0	1	21	1	650,000$
8	Tristan Allard	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	59	0	99	0	0	23	1	650,000$
9	Viking Gustafsson Nyberg				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	50	61	0	99	0	0	22	2	650,000$
10	Axel Landen				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	58	0	99	0	0	20	3	1,000,000$
11	William Lagesson				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	64	72	0	96	0	0	29	3	800,000$
12	Joni Jurmo				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	47	60	0	99	0	0	23	1	1,023,750$
13	Emil Pieniniemi				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	59	0	99	0	1	20	1	975,000$

	TEAM AVERAGE					100.00	62	57	70	64	65	73	77	63	59	62	62	64	62	54	61	0	99	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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Eric Comrie	100.00	69	79	75	77	83	67	73	69	75	69	73	67	72	0	96	0	0	30	1	680,000$
2	Dennis Hildeby	100.00	74	77	73	93	62	75	76	77	83	73	72	49	62	0	99	0	0	24	2	1,700,000$
Scratches
1	Jan Bednar	100.00	60	70	70	60	60	60	60	60	60	60	60	60	63	0	99	0	0	23	1	785,000$
2	Jaxson Stauber	100.00	60	70	70	60	60	60	60	60	60	60	60	59	67	0	99	0	0	26	1	800,000$
3	Thomas Milic	100.00	60	70	70	60	60	60	60	60	60	60	60	57	61	0	99	0	1	22	1	825,000$
4	Michal Postava	100.00	60	70	70	60	60	60	60	60	60	60	60	49	61	0	99	0	0	23	1	675,000$
5	Scott Ratzlaff	100.00	60	70	70	60	60	60	60	60	60	60	60	57	61	0	99	0	0	20	1	975,000$

	TEAM AVERAGE	100.00	63	72	71	67	64	63	64	64	65	63	64	57	64	0	99	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Todd McLellan	74	85	88	93	89	90	1	CAN	59	3	600,000$

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	FW	FL	FT	S1	S2	S3

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	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

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 Remaining	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
Anton Wahlberg	Norsemen (MIN)	C	20	2005-07-04	SWE	No	194 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Austin Roest	Norsemen (MIN)	C/LW/RW	21	2004-01-22	CAN	No	181 Lbs	5 ft10	No	No	N/A		No	No	1		False	False	Pro & Farm	700,000$	700,000$	70,000$	70,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Axel Landen	Norsemen (MIN)	D	20	2005-05-29	SWE	No	194 Lbs	6 ft0	No	No	Assign Manually		No	No	3	2026-08-02	False	False	Pro & Farm	1,000,000$	1,000,000$	100,000$	100,000$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Brady Stonehouse	Norsemen (MIN)	LW/RW	21	2004-08-06	CAN	No	194 Lbs	5 ft10	No	No	N/A		No	No	1		False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Caleb Jones	Norsemen (MIN)	D	28	1997-06-06	USA	No	194 Lbs	6 ft1	No	No	Assign Manually		No	No	2	2025-10-31	False	False	Pro & Farm	995,000$	995,000$	99,500$	99,500$	No	995,000$	-	-	-	-	-	-	-	-	995,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Daemon Hunt	Norsemen (MIN)	D	23	2002-05-15	CAN	No	193 Lbs	6 ft1	No	No	N/A		No	No	2	2026-08-02	False	False	Pro & Farm	1,150,000$	1,150,000$	115,000$	115,000$	No	1,150,000$	-	-	-	-	-	-	-	-	1,150,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
David Jiricek	Norsemen (MIN)	D	22	2003-11-28	CZE	No	204 Lbs	6 ft4	No	No	Trade	2026-08-19	No	No	4	2026-08-17	False	False	Pro & Farm	975,000$	975,000$	97,500$	97,500$	No	975,000$	975,000$	975,000$	-	-	-	-	-	-	975,000$	975,000$	975,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Daylan Kuefler	Norsemen (MIN)	LW/RW	23	2002-02-10	CAN	No	188 Lbs	7 ft2	No	No	N/A		No	No	1	2026-08-02	False	False	Pro & Farm	800,000$	800,000$	80,000$	80,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Dennis Hildeby	Norsemen (MIN)	G	24	2001-08-19	SWE	No	231 Lbs	6 ft7	No	No	N/A		No	No	2	2026-08-02	False	False	Pro & Farm	1,700,000$	1,700,000$	170,000$	170,000$	No	1,700,000$	-	-	-	-	-	-	-	-	1,700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Dominik Shine	Norsemen (MIN)	LW/RW	32	1993-04-18	USA	No	177 Lbs	5 ft11	No	No	Assign Manually		No	No	3	2026-09-23	False	False	Pro & Farm	925,000$	925,000$	92,500$	92,500$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Emil Pieniniemi	Norsemen (MIN)	D	20	2005-03-02	FIN	No	176 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	975,000$	975,000$	97,500$	97,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Eric Comrie (1 Way Contract)	Norsemen (MIN)	G	30	1995-07-06	CAN	No	190 Lbs	6 ft1	No	No	Free Agent		No	No	1	2025-06-21	False	False	Pro & Farm	680,000$	680,000$	680,000$	680,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Glenn Gawdin	Norsemen (MIN)	C	28	1997-03-25	CAN	No	195 Lbs	6 ft1	No	No	Free Agent		No	No	1	2025-06-09	False	False	Pro & Farm	655,000$	655,000$	65,500$	65,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jacob Gaucher	Norsemen (MIN)	C/LW/RW	24	2001-03-09	CAN	No	185 Lbs	6 ft3	No	No	Assign Manually		No	No	2	2025-10-31	False	False	Pro & Farm	985,000$	985,000$	98,500$	98,500$	No	985,000$	-	-	-	-	-	-	-	-	985,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jan Bednar	Norsemen (MIN)	G	23	2002-08-26	CZE	No	201 Lbs	6 ft4	No	No	Assign Manually		No	No	1	2025-11-09	False	False	Pro & Farm	785,000$	785,000$	78,500$	78,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jaxson Stauber	Norsemen (MIN)	G	26	1999-04-27	USA	No	181 Lbs	6 ft3	No	No	Free Agent		No	No	1	2026-08-02	False	False	Pro & Farm	800,000$	800,000$	80,000$	80,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jeffrey Viel	Norsemen (MIN)	LW/RW	28	1997-10-20	CAN	No	214 Lbs	6 ft1	No	No	Assign Manually		No	No	2	2025-11-09	False	False	Pro & Farm	785,000$	785,000$	78,500$	78,500$	No	785,000$	-	-	-	-	-	-	-	-	785,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Joe Hicketts	Norsemen (MIN)	D	29	1996-05-04	CAN	No	181 Lbs	5 ft8	No	No	Assign Manually		No	No	2	2025-11-16	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Joel Nystrom	Norsemen (MIN)	D	23	2002-05-14	SWE	No	178 Lbs	5 ft11	No	No	N/A		No	No	3	2026-08-02	False	False	Pro & Farm	1,450,000$	1,450,000$	145,000$	145,000$	No	1,450,000$	1,450,000$	-	-	-	-	-	-	-	1,450,000$	1,450,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Joni Jurmo	Norsemen (MIN)	D	23	2002-04-19	FIN	No	198 Lbs	6 ft4	No	No	N/A		No	No	1	2025-09-08	False	False	Pro & Farm	1,023,750$	1,023,750$	102,375$	102,375$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kasper Halttunen	Norsemen (MIN)	LW/RW	20	2005-06-07	FIN	No	216 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	1,500,000$	1,500,000$	150,000$	150,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kevin He	Norsemen (MIN)	LW	19	2006-06-30	CAN	No	181 Lbs	5 ft10	No	No	Draft		No	No	2	2025-08-20	False	False	Pro & Farm	825,000$	825,000$	82,500$	82,500$	No	825,000$	-	-	-	-	-	-	-	-	825,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Michal Postava	Norsemen (MIN)	G	23	2002-02-28	CZE	No	205 Lbs	6 ft2	No	No	Free Agent		No	No	1	2025-06-21	False	False	Pro & Farm	675,000$	675,000$	67,500$	67,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Nathan Gaucher	Norsemen (MIN)	C	22	2003-11-06	CAN	No	226 Lbs	6 ft3	No	No	Assign Manually		No	No	2	2025-11-16	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Niko Huuhtanen	Norsemen (MIN)	LW/RW	22	2003-06-26	FIN	No	209 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	700,000$	700,000$	70,000$	70,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Olivier Nadeau	Norsemen (MIN)	C/LW/RW	22	2003-01-15	CAN	No	198 Lbs	6 ft2	No	No	N/A		No	No	1	2025-09-08	False	False	Pro & Farm	1,023,750$	1,023,750$	102,375$	102,375$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ondrej Becher	Norsemen (MIN)	C/LW/RW	21	2004-02-22	CZE	No	187 Lbs	5 ft11	No	No	Draft		No	No	2	2025-08-20	False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	1,250,000$	-	-	-	-	-	-	-	-	1,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Oscar Fisker Molgaard	Norsemen (MIN)	C/LW/RW	20	2005-02-18	DEN	No	168 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	975,000$	975,000$	97,500$	97,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Sam Morton	Norsemen (MIN)	C	26	1999-07-28	USA	No	185 Lbs	6 ft0	No	No	Assign Manually		No	No	2	2026-08-02	False	False	Pro & Farm	1,784,250$	1,784,250$	178,425$	178,425$	No	1,784,250$	-	-	-	-	-	-	-	-	1,784,250$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Scott Ratzlaff	Norsemen (MIN)	G	20	2005-03-09	CAN	No	179 Lbs	5 ft11	No	No	Prospect		No	No	1	2025-08-20	False	False	Pro & Farm	975,000$	975,000$	97,500$	97,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Skyler BrindAmour	Norsemen (MIN)	C	26	1999-07-27	USA	No	195 Lbs	6 ft2	No	No	Assign Manually		No	No	1	2026-08-02	False	False	Pro & Farm	929,250$	929,250$	92,925$	92,925$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Stanislav Svozil	Norsemen (MIN)	D	22	2003-01-17	CZE	No	168 Lbs	6 ft0	No	No	Trade	2025-06-30	No	No	1	2025-09-08	False	False	Pro & Farm	1,023,750$	1,023,750$	102,375$	102,375$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Thomas Milic	Norsemen (MIN)	G	22	2003-04-14	CAN	No	179 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	825,000$	825,000$	82,500$	82,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Tristan Allard	Norsemen (MIN)	C/LW/RW	23	2002-06-23	CAN	No	196 Lbs	6 ft2	No	No	Free Agent		No	No	1	2025-07-05	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Viking Gustafsson Nyberg	Norsemen (MIN)	D	22	2003-09-21	SWE	No	100 Lbs	4 ft0	No	No	Trade	2026-09-23	No	No	2	2025-12-14	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Viktor Neuchev	Norsemen (MIN)	LW/RW	22	2003-10-25	RUS	No	180 Lbs	6 ft6	No	No	Assign Manually		No	No	3	2026-09-29	False	False	Pro & Farm	925,000$	925,000$	92,500$	92,500$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
William Lagesson	Norsemen (MIN)	D	29	1996-02-22	SWE	No	211 Lbs	6 ft2	No	No	Assign Manually		No	No	3	2026-09-29	False	False	Pro & Farm	800,000$	800,000$	80,000$	80,000$	No	800,000$	800,000$	-	-	-	-	-	-	-	800,000$	800,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Wilmer Skoog	Norsemen (MIN)	C	26	1999-07-17	SWE	No	196 Lbs	6 ft2	No	No	Assign Manually		No	No	3	2026-09-29	False	False	Pro & Farm	800,000$	800,000$	80,000$	80,000$	No	800,000$	800,000$	-	-	-	-	-	-	-	800,000$	800,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
38	23.55	190 Lbs	6 ft1	1.68	944,599$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Kasper Halttunen	Skyler BrindAmour	Oscar Fisker Molgaard	28	1	2	2
2	Jeffrey Viel	Sam Morton	Dominik Shine	28	1	2	2
3	Wilmer Skoog	Jacob Gaucher	Nathan Gaucher	25	1	2	2
4	Glenn Gawdin	Anton Wahlberg	Kevin He	19	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Daemon Hunt	Joel Nystrom	36	1	2	2
2	David Jiricek	Stanislav Svozil	34	1	2	2
3	Joe Hicketts	Caleb Jones	24	1	2	2
4	Joe Hicketts	Caleb Jones	6	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Dominik Shine	Skyler BrindAmour	Jeffrey Viel	50	1	2	2
2	Jacob Gaucher	Oscar Fisker Molgaard	Kasper Halttunen	50	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Daemon Hunt	Joel Nystrom	50	1	2	2
2	David Jiricek	Stanislav Svozil	50	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Skyler BrindAmour	Jeffrey Viel	50	1	2	2
2	Sam Morton	Nathan Gaucher	50	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Daemon Hunt	David Jiricek	50	1	2	2
2	Joel Nystrom	Joe Hicketts	50	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Skyler BrindAmour	50	1	2	2	Daemon Hunt	Caleb Jones	50	1	2	2
2	Wilmer Skoog	50	1	2	2	Joel Nystrom	David Jiricek	50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Sam Morton	Dominik Shine	50	1	2	2
2	Oscar Fisker Molgaard	Jacob Gaucher	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Daemon Hunt	Stanislav Svozil	50	1	2	2
2	Joel Nystrom	Joe Hicketts	50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Dominik Shine	Skyler BrindAmour	Jeffrey Viel	David Jiricek	Joel Nystrom

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Dominik Shine	Skyler BrindAmour	Nathan Gaucher	Daemon Hunt	Joel Nystrom

Extra Forwards
Normal	PowerPlay	Penalty Kill
Dominik Shine, Jeffrey Viel, Kasper Halttunen	Sam Morton, Kevin He	Oscar Fisker Molgaard

Extra Defensemen
Normal	PowerPlay	Penalty Kill
David Jiricek, Stanislav Svozil, Caleb Jones	Joe Hicketts	Caleb Jones, Stanislav Svozil

Penalty Shots
Dominik Shine, Jacob Gaucher, Jeffrey Viel, Nathan Gaucher, Oscar Fisker Molgaard

Goalie
#1 : Dennis Hildeby, #2 : Eric Comrie

Custom OT Lines Forwards
, , Jacob Gaucher, , , , , , Kevin He,

Custom OT Lines Defensemen
Caleb Jones, , , ,

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
	Total	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	0.000	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

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
0	0	N/A	0	0	0	0	0	0	0	0	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

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

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	0	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
0	0	0%	0	0	0%	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
0	0	0	0	0	0	0	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
0	0	0%	0	0	0%	0	0	0%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
0	0	0	0	0	0

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
1	5	Norsemen	-	Sens	-
3	22	Grisards	-	Norsemen	-
5	39	Phantoms	-	Norsemen	-
7	58	Norsemen	-	Whalers	-
8	65	Norsemen	-	Americans	-
10	77	Norsemen	-	Moose	-
12	94	Wolf Pack	-	Norsemen	-
15	115	Bears	-	Norsemen	-
17	134	Norsemen	-	Wolves	-
19	148	Whalers	-	Norsemen	-
21	164	Norsemen	-	Phantoms	-
23	178	Rams	-	Norsemen	-
28	209	Wolves	-	Norsemen	-
32	231	Redhawks	-	Norsemen	-
34	247	Norsemen	-	Titans	-
35	262	Blossom Bytes	-	Norsemen	-
38	282	Norsemen	-	Crunch	-
40	294	Bills	-	Norsemen	-
42	315	Norsemen	-	Blossom Bytes	-
44	325	Rocket	-	Norsemen	-
46	344	Norsemen	-	Rams	-
48	358	Wolves	-	Norsemen	-
51	378	Norsemen	-	Blood Miners	-
53	389	Norsemen	-	Phantoms	-
55	400	Rams	-	Norsemen	-
57	419	Norsemen	-	Wolf Pack	-
59	431	Octopus	-	Norsemen	-
62	452	Bears	-	Norsemen	-
64	471	Norsemen	-	Titans	-
65	482	Norsemen	-	Moose	-
67	494	Americans	-	Norsemen	-
70	517	Norsemen	-	Gorillas	-
71	526	Titans	-	Norsemen	-
75	552	Pens	-	Norsemen	-
78	577	White Wolves	-	Norsemen	-
81	602	Norsemen	-	Saints	-
83	613	Whalers	-	Norsemen	-
85	624	Norsemen	-	Whalers	-
88	646	Mountaineers	-	Norsemen	-
90	660	Norsemen	-	Moose	-
92	677	Blossom Bytes	-	Norsemen	-
94	695	Norsemen	-	Americans	-
96	708	Phantoms	-	Norsemen	-
98	720	Norsemen	-	Americans	-
101	739	Americans	-	Norsemen	-
103	764	Norsemen	-	Whalers	-
105	773	Phantoms	-	Norsemen	-
108	800	Norsemen	-	Pens	-
109	805	Admirals	-	Norsemen	-
111	819	Norsemen	-	Griffins	-
113	835	Blood Miners	-	Norsemen	-
115	848	Norsemen	-	Grisards	-
117	866	Reign	-	Norsemen	-
120	883	Norsemen	-	Eagles	-
122	899	Gulls	-	Norsemen	-
124	908	Norsemen	-	Grisards	-
126	929	Grisards	-	Norsemen	-
130	960	Norsemen	-	Admirals	-
131	964	Grisards	-	Norsemen	-
134	992	Wolf Pack	-	Norsemen	-
135	998	Norsemen	-	Bears	-
138	1021	Norsemen	-	Wolves	-
139	1027	Redhawks	-	Norsemen	-
142	1052	Norsemen	-	Wolves	-
144	1061	Moose	-	Norsemen	-
146	1077	Norsemen	-	Gulls	-
148	1092	Pens	-	Norsemen	-
150	1103	Norsemen	-	Octopus	-
152	1121	Norsemen	-	Admirals	-
153	1125	Norsemen	-	Sens	-
154	1135	Moose	-	Norsemen	-
158	1157	Norsemen	-	Sens	-
159	1162	Norsemen	-	Bulldogs	-
161	1174	Sens	-	Norsemen	-
166	1201	Sens	-	Norsemen	-
Trade Deadline --- Trades can’t be done after this day is simulated!
168	1219	Norsemen	-	Roadrunners	-
169	1223	Silver Knights	-	Norsemen	-
170	1231	Norsemen	-	Gulls	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	3500	5000
Ticket Price	35	15
Attendance	0%	0%
Attendance PCT	0%	0%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
39	0 - 0%	0$	0$	8500	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	3,521,475$	3,521,475$	600,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
23,687$	0$	38	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	174	23,687$	4,121,538$

Norsemen 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

Norsemen Goalies Stat Leaders (Regular Season)

Show or Hide Columns

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

Norsemen 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

Norsemen 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

Norsemen 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

	Norsemen
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% GM : Pascal \| Morale : 99 \| Team Overall : N/A Next Games #5 vs Sens