Senators
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%

Sens
0-0-0, 0pts

Day 2

Americans
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%

Moose
0-0-0, 0pts

Day 5

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%

Team Leaders

Team Stats

Team Info
	General Manager	David - Interims GM
	Coach	Jeff Halpern
	Division	North Division
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	8,500
	Attendance
	Season Tickets	850
Roster Info
	Pro Team	39
	Farm Team	20
	Contract Limit	59 / 65
	Prospects	21

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	Aidan McDonough		X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	56	68	0	99	0	0	26	2	1,722,405$
2	Rafael Harvey-Pinard		X	X		100.00	60	50	91	70	67	78	91	63	61	63	63	65	65	58	64	0	99	0	0	26	1	1,350,000$
3	Joshua Roy		X	X		100.00	66	50	90	71	73	76	89	65	61	65	65	69	65	51	60	0	99	0	0	22	2	826,875$
4	Bradley Marek	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	50	61	0	99	0	0	25	1	800,000$
5	Lukas Reichel		X	X		100.00	63	50	93	79	65	79	87	72	64	68	68	67	65	50	60	0	99	0	0	23	1	1,700,000$
6	Lucas Ciona		X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	59	0	99	0	0	22	2	800,000$
7	Carter Mazur		X	X		100.00	71	50	95	66	75	77	77	65	61	65	65	69	65	42	57	0	99	0	0	23	3	1,150,000$
8	Topi Ronni	X				100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	59	0	99	0	1	21	1	975,000$
9	Marek Vanacker		X			100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	52	59	0	99	0	0	19	2	1,500,000$
10	Alex Bump		X			100.00	61	50	89	70	74	79	86	69	61	69	68	68	65	46	57	0	99	0	0	22	1	700,000$
11	Joey Willis	X	X			100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	52	59	0	99	0	0	20	2	750,000$
12	Maxim Strbak				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	59	0	99	0	0	20	3	1,550,000$
13	Simon Lundmark				X	100.00	66	50	91	63	73	83	87	61	25	62	60	73	65	55	61	0	99	0	0	25	2	1,128,685$
14	Michael Callahan				X	100.00	60	50	91	66	74	79	89	63	25	64	61	73	65	54	64	0	99	0	0	26	2	1,600,855$
15	Theo Lindstein	X			X	100.00	60	50	92	64	74	82	94	66	25	67	66	70	65	42	57	0	99	0	1	20	1	1,250,000$
16	Scott Morrow				X	100.00	63	50	94	77	79	82	89	73	25	70	65	69	65	42	57	0	99	0	1	23	3	1,450,000$
17	Zayne Parekh				X	100.00	64	50	93	82	68	84	82	74	25	67	73	68	65	48	57	0	99	0	0	19	2	1,500,000$
18	Konnor Smith				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	56	59	0	99	0	0	21	2	825,000$
Scratches
1	Joseph LaBate	X				100.00	73	50	68	66	85	76	77	62	68	62	63	73	65	66	72	0	99	0	0	32	1	800,000$
2	Kevin Hayes	X	X	X		100.00	71	50	93	76	82	79	78	72	71	67	69	68	68	65	68	0	96	0	0	33	1	880,000$
3	Sam Lafferty	X				100.00	71	50	91	63	78	75	78	67	68	65	65	67	65	61	68	0	96	0	0	30	3	800,000$
4	Tyson Jost	X				100.00	69	50	91	75	71	79	91	71	64	66	68	77	66	54	65	0	96	0	0	27	3	900,000$
5	Lucas Condotta		X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	59	0	99	0	0	28	1	650,000$
6	Kyle MacLean	X				100.00	75	54	89	66	72	77	87	69	74	65	65	70	65	43	58	0	96	0	0	26	3	820,000$
7	Jesse Nurmi		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	750,000$
8	Andrei Loshko			X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	54	59	0	99	0	0	21	2	750,000$
9	Nolan Allan				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	56	61	0	99	0	0	22	3	1,250,000$
10	Kyle Masters				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	59	0	99	0	0	22	1	800,000$
11	Artur Cholach				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	47	60	0	99	0	0	22	1	800,000$
12	Dmitry Kuzmin				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	47	60	0	99	0	0	22	1	800,000$
13	Gavin White				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	59	0	99	0	0	23	2	800,000$
14	Frederic Brunet	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	825,000$
15	Charlie Elick				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	57	64	0	99	0	0	19	2	1,250,000$
16	Dominik Badinka				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	50	59	0	99	0	0	20	2	1,250,000$

	TEAM AVERAGE					100.00	63	56	73	65	66	74	77	63	56	63	62	64	62	51	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	Tristan Jarry	100.00	68	81	78	82	76	65	70	66	75	65	73	64	71	0	99	0	0	30	1	2,520,000$
2	Anson Thornton	100.00	60	70	70	60	60	60	60	60	60	60	60	49	61	0	99	0	0	22	2	800,000$
Scratches
1	Kevin Reidler	100.00	60	70	70	60	60	60	60	60	60	60	60	49	61	0	99	0	0	21	2	900,000$
2	Damian Clara	100.00	60	70	70	60	60	60	60	60	60	60	60	51	56	0	99	0	1	20	1	975,000$
3	Philip Svedeback	100.00	60	70	70	60	60	60	60	60	60	60	60	55	61	0	99	0	0	23	1	750,000$

	TEAM AVERAGE	100.00	62	72	72	64	63	61	62	61	63	61	63	54	62	0	99	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jeff Halpern	70	75	77	72	63	68	1	USA	50	2	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
Aidan McDonough	Sens (OTT)	LW/RW	26	1999-11-06	USA	No	190 Lbs	6 ft3	No	No	N/A		No	No	2	2026-08-19	False	False	Pro & Farm	1,722,405$	1,722,405$	172,240$	172,240$	No	1,722,405$	-	-	-	-	-	-	-	-	1,722,405$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Alex Bump	Sens (OTT)	LW	22	2003-11-20	USA	No	195 Lbs	6 ft0	No	No	Prospect		No	No	1	2025-08-30	False	False	Pro & Farm	700,000$	700,000$	70,000$	70,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Andrei Loshko	Sens (OTT)	RW	21	2004-10-07	BLR	No	183 Lbs	5 ft11	No	No	Prospect		No	No	2	2025-08-20	False	False	Pro & Farm	750,000$	750,000$	75,000$	75,000$	No	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Anson Thornton	Sens (OTT)	G	22	2003-06-28	CAN	No	181 Lbs	6 ft3	No	No	N/A		No	No	2	2026-08-19	False	False	Pro & Farm	800,000$	800,000$	80,000$	80,000$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Artur Cholach	Sens (OTT)	D	22	2003-06-06	UKR	No	193 Lbs	7 ft7	No	No	Assign Manually	2024-12-30	No	No	1	2026-09-11	False	False	Pro & Farm	800,000$	800,000$	80,000$	80,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Bradley Marek	Sens (OTT)	C/LW/RW	25	2000-11-13	USA	No	212 Lbs	6 ft3	No	No	N/A		No	No	1	2026-08-19	False	False	Pro & Farm	800,000$	800,000$	80,000$	80,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Carter Mazur	Sens (OTT)	LW/RW	23	2002-03-28	USA	No	200 Lbs	6 ft0	No	No	N/A		No	No	3	2026-08-19	False	False	Pro & Farm	1,150,000$	1,150,000$	115,000$	115,000$	No	1,150,000$	1,150,000$	-	-	-	-	-	-	-	1,150,000$	1,150,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Charlie Elick	Sens (OTT)	D	19	2006-01-17	AUT	No	205 Lbs	6 ft2	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	-	-	-	-	-	-	-	-
Damian Clara	Sens (OTT)	G	20	2005-01-13	ITA	No	214 Lbs	6 ft6	No	No	Prospect		No	No	1	2024-08-27	False	False	Pro & Farm	975,000$	975,000$	97,500$	97,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Dmitry Kuzmin	Sens (OTT)	D	22	2003-04-23	BLR	No	187 Lbs	5 ft10	No	No	Assign Manually	2025-10-20	No	No	1	2026-09-11	False	False	Pro & Farm	800,000$	800,000$	80,000$	80,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Dominik Badinka	Sens (OTT)	D	20	2005-11-27	CZE	No	205 Lbs	6 ft1	No	No	Draft		No	No	2	2025-08-30	False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	1,250,000$	-	-	-	-	-	-	-	-	1,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Frederic Brunet	Sens (OTT)	C/D	22	2003-08-21	CAN	No	196 Lbs	6 ft3	No	No	Prospect		No	No	1	2024-08-27	False	False	Pro & Farm	825,000$	825,000$	82,500$	82,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Gavin White	Sens (OTT)	D	23	2002-11-12	CAN	No	192 Lbs	6 ft1	No	No	N/A		No	No	2	2026-08-19	False	False	Pro & Farm	800,000$	800,000$	80,000$	80,000$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jesse Nurmi	Sens (OTT)	LW/RW	20	2005-03-07	FIN	No	172 Lbs	6 ft0	No	No	Prospect		No	No	1	2024-08-27	False	False	Pro & Farm	750,000$	750,000$	75,000$	75,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Joey Willis	Sens (OTT)	C/LW	20	2005-05-14	USA	No	185 Lbs	5 ft9	No	No	Prospect		No	No	2	2025-08-30	False	False	Pro & Farm	750,000$	750,000$	75,000$	75,000$	No	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Joseph LaBate	Sens (OTT)	C	32	1993-04-16	USA	No	225 Lbs	6 ft5	No	No	Assign Manually		No	No	1	2026-09-29	False	False	Pro & Farm	800,000$	800,000$	80,000$	80,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Joshua Roy	Sens (OTT)	LW/RW	22	2003-08-06	CAN	No	192 Lbs	6 ft0	No	No	N/A		No	No	2	2026-08-19	False	False	Pro & Farm	826,875$	826,875$	82,688$	82,688$	No	826,875$	-	-	-	-	-	-	-	-	826,875$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Kevin Hayes	Sens (OTT)	C/LW/RW	33	1992-05-08	USA	No	217 Lbs	6 ft3	No	No	Assign Manually		No	No	1	2026-09-28	False	False	Pro & Farm	880,000$	880,000$	88,000$	88,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kevin Reidler	Sens (OTT)	G	21	2004-09-02	SWE	No	203 Lbs	6 ft4	No	No	Assign Manually		No	No	2	2026-07-14	False	False	Pro & Farm	900,000$	900,000$	90,000$	90,000$	No	900,000$	-	-	-	-	-	-	-	-	900,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Konnor Smith	Sens (OTT)	D	21	2004-11-06	CAN	No	216 Lbs	6 ft4	No	No	Prospect		No	No	2	2025-08-20	False	False	Pro & Farm	825,000$	825,000$	82,500$	82,500$	No	825,000$	-	-	-	-	-	-	-	-	825,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Kyle MacLean	Sens (OTT)	C	26	1999-04-29	USA	No	190 Lbs	6 ft1	No	No	Assign Manually		No	No	3	2026-09-29	False	False	Pro & Farm	820,000$	820,000$	82,000$	82,000$	No	820,000$	820,000$	-	-	-	-	-	-	-	820,000$	820,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Kyle Masters	Sens (OTT)	D	22	2003-04-09	CAN	No	183 Lbs	6 ft8	No	No	Assign Manually		No	No	1	2026-09-11	False	False	Pro & Farm	800,000$	800,000$	80,000$	80,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Lucas Ciona	Sens (OTT)	LW/RW	22	2003-01-08	CAN	No	223 Lbs	6 ft3	No	No	N/A		No	No	2	2026-08-19	False	False	Pro & Farm	800,000$	800,000$	80,000$	80,000$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Lucas Condotta	Sens (OTT)	LW/RW	28	1997-11-06	CAN	No	218 Lbs	6 ft1	No	No	Free Agent		No	No	1	2025-06-26	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Lukas Reichel	Sens (OTT)	LW/RW	23	2002-05-17	GER	No	170 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	1,700,000$	1,700,000$	170,000$	170,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Marek Vanacker	Sens (OTT)	LW	19	2006-04-12	CAN	No	170 Lbs	5 ft11	No	No	Draft		No	No	2	2025-08-20	False	False	Pro & Farm	1,500,000$	1,500,000$	150,000$	150,000$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Maxim Strbak	Sens (OTT)	D	20	2005-04-13	NA	No	203 Lbs	6 ft0	No	No	Assign Manually		No	No	3	2026-07-14	False	False	Pro & Farm	1,550,000$	1,550,000$	155,000$	155,000$	No	1,550,000$	1,550,000$	-	-	-	-	-	-	-	1,550,000$	1,550,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Michael Callahan	Sens (OTT)	D	26	1999-09-23	USA	No	195 Lbs	6 ft2	No	No	N/A		No	No	2	2026-08-19	False	False	Pro & Farm	1,600,855$	1,600,855$	160,086$	160,086$	No	1,600,855$	-	-	-	-	-	-	-	-	1,600,855$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Nolan Allan	Sens (OTT)	D	22	2003-04-28	CAN	No	195 Lbs	6 ft2	No	No	N/A		No	No	3	2025-09-08	False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	1,250,000$	1,250,000$	-	-	-	-	-	-	-	1,250,000$	1,250,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Philip Svedeback	Sens (OTT)	G	23	2002-05-28	SWE	No	209 Lbs	6 ft2	No	No	Prospect		No	No	1	2025-08-30	False	False	Pro & Farm	750,000$	750,000$	75,000$	75,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Rafael Harvey-Pinard	Sens (OTT)	LW/RW	26	1999-01-06	CAN	No	179 Lbs	5 ft9	No	No	N/A		No	No	1		False	False	Pro & Farm	1,350,000$	1,350,000$	135,000$	135,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Sam Lafferty	Sens (OTT)	C	30	1995-03-06	USA	No	205 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	-	-	-	-	-	-	-
Scott Morrow	Sens (OTT)	D	23	2002-11-01	USA	No	210 Lbs	6 ft2	No	No	Prospect		No	No	3	2026-08-19	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	-	-	-	-	-	-	-
Simon Lundmark	Sens (OTT)	D	25	2000-10-08	SWE	No	190 Lbs	6 ft2	No	No	N/A		No	No	2	2026-08-19	False	False	Pro & Farm	1,128,685$	1,128,685$	112,868$	112,868$	No	1,128,685$	-	-	-	-	-	-	-	-	1,128,685$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Theo Lindstein	Sens (OTT)	C/D	20	2005-01-05	SWE	No	197 Lbs	6 ft0	No	No	Prospect		No	No	1	2024-08-27	False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Topi Ronni	Sens (OTT)	C	21	2004-05-05	FIN	No	185 Lbs	6 ft2	No	No	Prospect		No	No	1	2024-08-27	False	False	Pro & Farm	975,000$	975,000$	97,500$	97,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Tristan Jarry	Sens (OTT)	G	30	1995-04-29	CAN	No	201 Lbs	6 ft4	No	No	Assign Manually		No	No	1	2025-10-22	False	False	Pro & Farm	2,520,000$	2,520,000$	252,000$	252,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Tyson Jost	Sens (OTT)	C	27	1998-03-14	CAN	No	187 Lbs	5 ft11	No	No	Assign Manually		No	No	3	2026-09-29	False	False	Pro & Farm	900,000$	900,000$	90,000$	90,000$	No	900,000$	900,000$	-	-	-	-	-	-	-	900,000$	900,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Zayne Parekh	Sens (OTT)	D	19	2006-02-15	CAN	No	179 Lbs	6 ft0	No	No	Trade	2026-09-08	No	No	2	2025-08-20	False	False	Pro & Farm	1,500,000$	1,500,000$	150,000$	150,000$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
39	23.28	196 Lbs	6 ft2	1.74	1,067,918$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Alex Bump	Joey Willis	Rafael Harvey-Pinard	28	1	2	2
2	Marek Vanacker	Bradley Marek	Lukas Reichel	28	1	2	2
3	Aidan McDonough	Theo Lindstein	Carter Mazur	25	1	2	2
4	Joshua Roy	Topi Ronni	Lucas Ciona	19	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zayne Parekh	Scott Morrow	28	1	2	2
2	Michael Callahan	Konnor Smith	28	1	2	2
3	Simon Lundmark	Maxim Strbak	25	1	2	2
4	Zayne Parekh	Scott Morrow	19	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Bradley Marek	Theo Lindstein	Lukas Reichel	50	1	2	2
2	Carter Mazur	Joey Willis	Alex Bump	50	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zayne Parekh	Scott Morrow	50	1	2	2
2	Michael Callahan	Simon Lundmark	50	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Theo Lindstein	Lukas Reichel	50	1	2	2
2	Bradley Marek	Alex Bump	50	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zayne Parekh	Scott Morrow	50	1	2	2
2	Michael Callahan	Simon Lundmark	50	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Alex Bump	50	1	2	2	Zayne Parekh	Scott Morrow	50	1	2	2
2	Lukas Reichel	50	1	2	2	Michael Callahan	Simon Lundmark	50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Bradley Marek	Alex Bump	50	1	2	2
2	Theo Lindstein	Lukas Reichel	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zayne Parekh	Scott Morrow	50	1	2	2
2	Michael Callahan	Simon Lundmark	50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Alex Bump	Joey Willis	Lukas Reichel	Zayne Parekh	Scott Morrow

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Alex Bump	Joey Willis	Lukas Reichel	Zayne Parekh	Michael Callahan

Extra Forwards
Normal	PowerPlay	Penalty Kill
Marek Vanacker, Rafael Harvey-Pinard, Topi Ronni	Topi Ronni, Lucas Ciona	Topi Ronni

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Simon Lundmark, Michael Callahan, Konnor Smith	Konnor Smith	Maxim Strbak, Konnor Smith

Penalty Shots
Zayne Parekh, Alex Bump, Lukas Reichel, Joey Willis, Aidan McDonough

Goalie
#1 : Tristan Jarry, #2 : Anson Thornton

Custom OT Lines Forwards
, , Rafael Harvey-Pinard, , Marek Vanacker, , , , ,

Custom OT Lines Defensemen
, , , ,

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	-
2	15	Sens	-	Americans	-
5	41	Moose	-	Sens	-
7	56	Sens	-	Phantoms	-
8	66	Sens	-	Wolves	-
9	72	Sens	-	Whalers	-
11	92	Grisards	-	Sens	-
15	116	Phantoms	-	Sens	-
16	132	Sens	-	Whalers	-
19	147	Sens	-	Titans	-
20	158	Wolves	-	Sens	-
23	179	Grisards	-	Sens	-
28	205	Moose	-	Sens	-
31	227	Sens	-	Phantoms	-
33	242	Rams	-	Sens	-
35	257	Sens	-	Wolf Pack	-
37	269	Phantoms	-	Sens	-
39	291	Sens	-	Bears	-
41	302	Gulls	-	Sens	-
43	324	Blood Miners	-	Sens	-
45	336	Sens	-	Phantoms	-
48	355	Bills	-	Sens	-
50	372	Sens	-	Whalers	-
52	386	Titans	-	Sens	-
57	418	Whalers	-	Sens	-
58	428	Sens	-	Reign	-
62	451	Whalers	-	Sens	-
64	474	Sens	-	Americans	-
65	481	Admirals	-	Sens	-
68	500	Sens	-	Eagles	-
69	512	Rams	-	Sens	-
72	534	Sens	-	Gulls	-
74	545	White Wolves	-	Sens	-
77	567	Sens	-	Americans	-
78	579	Mountaineers	-	Sens	-
81	601	Sens	-	Blossom Bytes	-
82	612	Bears	-	Sens	-
85	627	Sens	-	Gulls	-
88	645	Moose	-	Sens	-
90	659	Sens	-	Mountaineers	-
91	675	Roadrunners	-	Sens	-
94	698	Sens	-	Titans	-
96	706	Bulldogs	-	Sens	-
98	718	Sens	-	Saints	-
100	736	Sens	-	Pens	-
101	745	Wolves	-	Sens	-
104	768	Sens	-	Blossom Bytes	-
105	776	Americans	-	Sens	-
108	801	Bears	-	Sens	-
111	821	Sens	-	Saints	-
112	832	Sens	-	Redhawks	-
114	844	Blossom Bytes	-	Sens	-
117	867	Grisards	-	Sens	-
121	893	Sens	-	Crunch	-
122	901	Americans	-	Sens	-
124	915	Sens	-	Moose	-
126	930	Pens	-	Sens	-
129	949	Sens	-	Wolves	-
130	962	Silver Knights	-	Sens	-
131	971	Sens	-	Rams	-
134	991	Sens	-	Wolves	-
136	1003	Griffins	-	Sens	-
139	1024	Sens	-	Bills	-
140	1033	Rocket	-	Sens	-
143	1057	Sens	-	Admirals	-
144	1065	Pens	-	Sens	-
148	1091	Octopus	-	Sens	-
151	1115	Sens	-	Gorillas	-
153	1125	Norsemen	-	Sens	-
157	1150	Sens	-	Moose	-
158	1157	Norsemen	-	Sens	-
161	1174	Sens	-	Norsemen	-
163	1187	Sens	-	Admirals	-
164	1191	Wolf Pack	-	Sens	-
165	1193	Sens	-	Grisards	-
166	1201	Sens	-	Norsemen	-
Trade Deadline --- Trades can’t be done after this day is simulated!
169	1225	Sens	-	Grisards	-
172	1240	Wolf Pack	-	Sens	-

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$	4,164,882$	4,164,882$	600,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
27,384$	0$	39	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	174	27,384$	4,764,816$

Sens 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

Sens 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

Sens 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

Sens 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

Sens 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

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