Senateurs
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stats

Team Leaders

Team Stats

Team Info
	General Manager	Yan Ferron
	Coach	Joe Sacco
	Division	Steve Yzerman
	Conference	Conference 2
	Captain	Devin Shore
	Assistant #1	Vinni Lettieri
	Assistant #2	Mark Friedman
Arena Info
	Capacity	3,000
	Attendance
	Season Tickets	300
Roster Info
	Pro Team	31
	Farm Team	18
	Contract Limit	49 / 63
	Prospects	19
Team History
	This Season	0-0-0 (0PTS)
	History	218-157-25 (0.545%)
	Playoff Appearances	2
	Playoff Record (W-L)	1 - 8 (0.111%)
	Stanley Cup	0

Show or Hide Columns

Filter Tips

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

#	Player Name	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Vinni Lettieri (A)	0	X		X		100.00	88	45	92	78	65	65	89	69	47	58	62	68	25	60	60	68	50	63	0	29	1	775,000$
2	Devin Shore (C)	0	X	X	X		100.00	79	44	96	79	75	52	87	61	51	57	55	67	75	71	72	63	50	62	0	29	0	0$
3	Justin Kirkland	0	X	X	X		100.00	86	76	84	76	71	54	47	62	65	74	59	77	80	46	46	67	50	62	0	27	1	900,000$
4	Oskar Back (R)	0	X		X		100.00	63	42	96	74	77	59	90	63	58	63	57	76	25	53	53	66	50	62	0	24	2	825,000$
5	Logan Shaw	0	X		X		100.00	82	80	86	68	80	79	84	61	50	60	57	67	54	44	45	64	50	61	0	31	0	0$
6	Tye Kartye	0	X	X			100.00	93	56	80	75	72	54	83	61	31	60	59	67	25	59	60	66	50	61	0	23	0	0$
7	Jonah Gadjovich	0		X	X		100.00	95	99	62	74	82	51	61	59	55	50	59	63	25	60	60	62	50	59	0	25	1	775,000$
8	Danila Klimovich	0	X		X		100.00	75	75	74	66	75	76	80	60	50	50	65	64	62	44	44	64	50	59	0	21	1	833,333$
9	Xavier Bourgault	0	X				100.00	73	64	93	66	64	73	77	57	50	51	58	62	55	44	44	61	50	57	0	21	0	0$
10	Wyatt Bongiovanni	0	X				100.00	75	70	85	66	70	52	50	61	50	50	67	64	64	44	44	64	50	57	0	24	1	775,000$
11	Brandon Gignac	0	X	X			100.00	73	70	79	62	70	44	42	55	69	54	51	61	48	44	44	56	50	53	0	26	0	0$
12	Roland McKeown	0				X	100.00	76	74	81	67	74	78	84	58	25	48	53	64	50	44	44	62	50	61	0	28	0	0$
13	Joseph Cecconi	0				X	100.00	80	80	80	64	80	55	57	48	25	40	40	63	38	44	44	52	50	56	0	27	0	0$
14	Mark Friedman (A)	0				X	100.00	71	67	79	67	67	49	50	51	25	43	41	62	39	55	56	53	50	55	0	28	0	0$
Scratches
1	Nick Paul	0	X	X			100.00	73	45	88	83	86	73	93	68	83	70	80	71	25	71	73	76	50	70	0	29	4	3,150,000$
2	Noah Ostlund (R)	0	X				100.00	72	64	89	69	64	68	69	65	80	59	67	63	64	44	44	66	50	60	0	20	3	886,667$
3	Ben Jones (R)	0	X				100.00	85	92	88	70	71	51	91	62	44	50	55	68	25	46	46	62	50	59	0	25	1	775,000$
4	Nate Danielson (R)	0	X				100.00	75	71	85	67	71	56	56	60	75	59	56	64	53	44	44	61	50	57	0	19	3	918,333$
5	Fabian Wagner (R)	0	X				100.00	73	65	90	63	65	68	73	51	64	44	54	60	51	44	44	57	50	54	0	20	3	830,556$
6	Keean Washkurak	0	X				100.00	69	65	78	65	65	55	56	52	65	46	53	59	50	44	44	56	50	53	0	22	0	0$
7	Alex Swetlikoff (R)	0	X	X	X		100.00	82	77	93	63	77	48	48	49	61	45	48	64	46	44	44	55	50	53	0	22	0	0$
8	Filip Engaras	0	X				100.00	78	74	88	63	74	49	49	49	61	47	46	62	44	44	44	54	50	52	0	25	0	0$
9	Ben Hemmerling (R)	0			X		100.00	75	67	95	61	67	43	42	47	50	43	46	60	44	44	44	52	50	50	0	20	3	821,111$
10	Mikey Anderson	0				X	100.00	80	44	88	70	71	86	94	61	25	57	49	93	25	67	68	67	50	71	0	25	3	4,125,000$
11	Alexander Petrovic	0				X	100.00	77	81	69	69	81	74	80	55	25	48	42	69	40	65	66	57	50	63	0	32	1	775,000$
12	Jack Matier (R)	0				X	100.00	82	79	88	62	79	57	60	46	25	37	39	64	37	44	44	52	50	56	0	21	1	801,667$
13	Phil Kemp	0				X	100.00	79	79	79	63	79	50	51	48	25	34	46	63	44	44	44	53	50	55	0	25	1	775,000$
14	Jake Massie	0				X	100.00	80	74	93	61	74	40	39	44	25	31	42	62	40	44	44	50	50	52	0	27	0	0$

	TEAM AVERAGE						100.00	78	69	85	68	73	59	67	57	49	51	54	66	45	50	50	60	50	58

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	Jonas Johansson	0	100.00	60	52	52	90	66	54	69	58	65	60	41	54	54	61	50	61	0	28	2	1,250,000$
2	Dennis Hildeby (R)	0	100.00	54	52	65	92	54	55	55	60	55	55	30	44	44	55	50	57	0	22	0	0$
Scratches
1	Collin Delia	0	100.00	54	48	60	78	56	57	53	59	58	57	30	44	44	55	50	56	0	30	0	0$

	TEAM AVERAGE		100.00	56	51	59	87	59	55	59	59	59	57	34	47	47	57	50	58

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Joe Sacco	88	79	79	78	78	69	1	USA	56	1	60,000$

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	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Alex Swetlikoff	Binghampton Senators (OTT)	C/LW/RW	22	2001-07-06	BC	Yes	206 Lbs	6 ft3	No	No	Assign Manually	No	No	0	2024-06-20	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Alexander Petrovic	Binghampton Senators (OTT)	D	32	1992-03-03	CAN	No	211 Lbs	6 ft5	No	No	Assign Manually	No	No	1	2025-06-25	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Ben Hemmerling	Binghampton Senators (OTT)	RW	20	2004-04-21	CAN	Yes	180 Lbs	6 ft0	No	No	Prospect	No	No	3	2025-06-15	False	False	Pro & Farm	821,111$	0$	0$	No	821,111$	821,111$	-	-	-	-	-	-	-	821,111$	821,111$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Ben Jones	Binghampton Senators (OTT)	C	25	1999-02-25	CAN	Yes	187 Lbs	6 ft0	No	No	Assign Manually	No	No	1	2025-06-23	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Brandon Gignac	Binghampton Senators (OTT)	C/LW	26	1997-11-07	CAN	No	195 Lbs	5 ft11	No	No	N/A	No	No	0	2024-06-21	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Collin Delia	Binghampton Senators (OTT)	G	30	1994-06-19	USA	No	200 Lbs	6 ft2	No	No	N/A	No	No	0	2024-07-02	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Danila Klimovich	Binghampton Senators (OTT)	C/RW	21	2003-01-09	BLR	No	202 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	833,333$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Dennis Hildeby	Binghampton Senators (OTT)	G	22	2001-08-19	SWE	Yes	224 Lbs	6 ft7	No	No	Prospect	No	No	0	2024-06-21	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Devin Shore	Binghampton Senators (OTT)	C/LW/RW	29	1994-07-19	CAN	No	206 Lbs	6 ft1	No	No	N/A	No	No	0	2024-07-02	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Fabian Wagner	Binghampton Senators (OTT)	C	20	2004-05-07	SWE	Yes	176 Lbs	6 ft0	No	No	Prospect	No	No	3	2025-06-15	False	False	Pro & Farm	830,556$	0$	0$	No	830,556$	830,556$	-	-	-	-	-	-	-	830,556$	830,556$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Filip Engaras	Binghampton Senators (OTT)	C	25	1999-05-16	SWE	No	200 Lbs	6 ft1	No	No	N/A	No	No	0	2024-09-15	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jack Matier	Binghampton Senators (OTT)	D	21	2003-04-08	CAN	Yes	207 Lbs	6 ft5	No	No	Prospect	No	No	1	2024-06-21	False	False	Pro & Farm	801,667$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jake Massie	Binghampton Senators (OTT)	D	27	1997-01-21	QUE	No	200 Lbs	6 ft1	No	No	N/A	No	No	0	2024-09-15	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jonah Gadjovich	Binghampton Senators (OTT)	LW/RW	25	1998-10-12	CAN	No	211 Lbs	6 ft3	No	No	N/A	No	No	1	2024-06-21	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jonas Johansson	Binghampton Senators (OTT)	G	28	1995-09-18	SWE	No	218 Lbs	6 ft5	No	No	N/A	No	No	2	2025-06-17	False	False	Pro & Farm	1,250,000$	0$	0$	No	1,250,000$	-	-	-	-	-	-	-	-	1,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Joseph Cecconi	Binghampton Senators (OTT)	D	27	1997-05-23	USA	No	216 Lbs	6 ft3	No	No	N/A	No	No	0	2024-07-02	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Justin Kirkland	Binghampton Senators (OTT)	C/LW/RW	27	1996-08-02	CAN	No	183 Lbs	6 ft3	No	No	N/A	No	No	1	2025-06-25	False	False	Pro & Farm	900,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Keean Washkurak	Binghampton Senators (OTT)	C	22	2001-08-16	ONT	No	184 Lbs	5 ft10	No	No	N/A	No	No	0	2024-09-15	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Logan Shaw	Binghampton Senators (OTT)	C/RW	31	1992-10-05	CAN	No	211 Lbs	6 ft4	No	No	N/A	No	No	0	2024-09-15	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Mark Friedman	Binghampton Senators (OTT)	D	28	1995-12-25	CAN	No	185 Lbs	5 ft11	No	No	N/A	No	No	0	2024-06-21	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Mikey Anderson	Binghampton Senators (OTT)	D	25	1999-05-25	USA	No	195 Lbs	6 ft0	No	No	Assign Manually	No	No	3	2025-06-25	False	False	Pro & Farm	4,125,000$	0$	0$	No	4,125,000$	4,125,000$	-	-	-	-	-	-	-	4,125,000$	4,125,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Nate Danielson	Binghampton Senators (OTT)	C	19	2004-09-27	AB	Yes	190 Lbs	6 ft1	No	No	Prospect	No	No	3	2025-06-15	False	False	Pro & Farm	918,333$	0$	0$	No	918,333$	918,333$	-	-	-	-	-	-	-	918,333$	918,333$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Nick Paul	Binghampton Senators (OTT)	C/LW	29	1995-03-20	CAN	No	230 Lbs	6 ft4	No	No	Assign Manually	No	No	4	2025-06-25	False	False	Pro & Farm	3,150,000$	0$	0$	No	3,150,000$	3,150,000$	3,150,000$	-	-	-	-	-	-	3,150,000$	3,150,000$	3,150,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Noah Ostlund	Binghampton Senators (OTT)	C	20	2004-03-11	SWE	Yes	175 Lbs	5 ft11	No	No	Prospect	No	No	3	2025-06-15	False	False	Pro & Farm	886,667$	0$	0$	No	886,667$	886,667$	-	-	-	-	-	-	-	886,667$	886,667$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Oskar Back	Binghampton Senators (OTT)	C/RW	24	2000-03-12	SWE	Yes	202 Lbs	6 ft4	No	No	N/A	No	No	2	2025-06-17	False	False	Pro & Farm	825,000$	0$	0$	No	825,000$	-	-	-	-	-	-	-	-	825,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Phil Kemp	Binghampton Senators (OTT)	D	25	1999-02-12	USA	No	212 Lbs	6 ft3	No	No	Assign Manually	No	No	1	2025-07-03	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Roland McKeown	Binghampton Senators (OTT)	D	28	1996-01-20	CAN	No	201 Lbs	6 ft1	No	No	N/A	No	No	0	2024-09-15	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Tye Kartye	Binghampton Senators (OTT)	C/LW	23	2001-04-30	CAN	No	202 Lbs	5 ft11	No	No	N/A	No	No	0		False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Vinni Lettieri	Binghampton Senators (OTT)	C/RW	29	1995-02-06	USA	No	184 Lbs	5 ft10	No	No	N/A	No	No	1	2025-07-03	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Wyatt Bongiovanni	Binghampton Senators (OTT)	C	24	1999-07-24	USA	No	193 Lbs	6 ft0	No	No	N/A	No	No	1	2025-07-03	False	False	Pro & Farm	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Xavier Bourgault	Binghampton Senators (OTT)	C	21	2002-10-22	CAN	No	179 Lbs	5 ft11	No	No	N/A	No	No	0		False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
31	25.00	199 Lbs	6 ft2	1.03	644,892$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Tye Kartye	Logan Shaw	Oskar Back	40	1	2	2
2	Devin Shore	Brandon Gignac	Vinni Lettieri	30	1	2	2
3	Justin Kirkland	Wyatt Bongiovanni	Jonah Gadjovich	20	1	2	2
4		Xavier Bourgault	Danila Klimovich	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Mark Friedman	40	1	2	2
2	Roland McKeown		30	1	2	2
3		Joseph Cecconi	20	1	2	2
4		Mark Friedman	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Tye Kartye	Logan Shaw	Oskar Back	60	1	2	2
2	Devin Shore	Brandon Gignac	Vinni Lettieri	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Mark Friedman	60	1	2	2
2	Roland McKeown		40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Oskar Back	Tye Kartye	60	1	2	2
2	Devin Shore	Brandon Gignac	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Mark Friedman	60	1	2	2
2	Roland McKeown		40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Oskar Back	60	1	2	2		Mark Friedman	60	1	2	2
2	Devin Shore	40	1	2	2	Roland McKeown		40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Oskar Back	Tye Kartye	60	1	2	2
2	Devin Shore	Brandon Gignac	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Mark Friedman	60	1	2	2
2	Roland McKeown		40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Tye Kartye	Oskar Back	Devin Shore		Mark Friedman

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Tye Kartye	Oskar Back	Devin Shore		Mark Friedman

Extra Forwards
Normal	PowerPlay	Penalty Kill
Brandon Gignac, Justin Kirkland, Jonah Gadjovich	Brandon Gignac, Justin Kirkland	Brandon Gignac

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, , Joseph Cecconi		,

Penalty Shots
Oskar Back, Tye Kartye, Devin Shore, Vinni Lettieri, Brandon Gignac

Goalie
#1 : Jonas Johansson, #2 : Dennis Hildeby

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

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	ST	OT	SO	RI	Link

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
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
38	0 - 0%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	1,999,167$	1,999,167$	60,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	0$	0$

Binghampton Senators Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS
1	Vinni Lettieri	398	329	469	798	42	988	824	1014	1937	16.99%	304	9533	23.95	79	122	201	165	6	0	6	39	30	9	57.54%	9	1.67	1	25
2	Anthony Greco	406	241	247	488	16	282	507	493	1447	16.66%	258	7383	18.19	49	70	119	131	0	2	2	22	40	5	48.63%	12	1.32	4	4
3	Kevin Porter	320	236	228	464	44	536	556	504	1084	21.77%	244	6364	19.89	56	72	128	132	0	0	0	24	24	16	55.86%	12	1.46	0	12
4	Eric Robinson	328	152	268	420	-4	100	472	448	1140	13.33%	156	5940	18.11	52	72	124	124	0	0	0	12	8	12	45.65%	8	1.41	4	8
5	Jonah Gadjovich	558	213	201	414	66	1353	809	446	1382	15.41%	189	7040	12.62	18	25	43	55	1	2	3	10	28	10	40.40%	7	1.18	3	10

Binghampton Senators 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
1	Jon Gillies	371	166	148	20	0.879	4.50	20125	32	0	1508	12490	7022	39	12	0.794	68
2	Jonas Johansson	126	72	34	6	0.883	4.20	6879	2	0	481	4107	2295	6	5	0.769	13
3	Collin Delia	65	35	24	1	0.869	4.77	3485	2	1	277	2121	1286	3	2	0.826	23
4	Dennis Hildeby	42	25	9	2	0.870	4.61	2136	2	1	164	1263	688	4	1	0	0
5	Olle Eriksson Ek	10	3	4	0	0.824	5.37	469	0	0	42	238	134	0	0	0	0

Binghampton Senators Career Team Stats

Show or Hide Columns

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Regular Season
2020	82	31	39	0	3	4	3	2	367	393	-26	41	18	19	0	2	1	1	0	197	185	12	41	13	20	0	1	3	2	2	170	208	-38	80	367	580	947	3	0	79	149	133	8	2669	762	980	911	34	3063	992	1694	1804	191	77	40.31%	247	88	64.37%	4	839	1506	55.71%	1009	1869	53.99%	811	1493	54.32%	1620	821	1723	779	1609	811
2020	82	31	39	0	3	4	3	2	367	393	-26	41	18	19	0	2	1	1	0	197	185	12	41	13	20	0	1	3	2	2	170	208	-38	80	367	580	947	3	0	79	149	133	8	2669	762	980	911	34	3063	992	1694	1804	191	77	40.31%	247	88	64.37%	4	839	1506	55.71%	1009	1869	53.99%	811	1493	54.32%	1620	821	1723	779	1609	811
2021	78	32	34	0	3	4	3	2	373	370	3	39	17	19	0	0	1	2	0	197	201	-4	39	15	15	0	3	3	1	2	176	169	7	82	373	610	983	3	0	84	159	124	8	2990	959	1067	946	32	3059	1010	1264	1757	212	67	31.60%	242	75	69.01%	8	906	1709	53.01%	852	1681	50.68%	782	1479	52.87%	1661	924	1610	718	1449	725
2023	82	47	21	0	7	2	4	1	580	378	202	41	23	10	0	4	2	2	0	300	198	102	41	24	11	0	3	0	2	1	280	180	100	119	580	922	1502	0	1	165	256	148	15	2776	781	996	982	43	2824	935	3261	1857	212	90	42.45%	243	68	72.02%	15	811	1499	54.10%	912	1703	53.55%	1055	1799	58.64%	1667	858	1650	772	1643	851
2024	76	47	24	0	1	3	0	1	431	330	101	38	22	14	0	1	1	0	0	221	168	53	38	25	10	0	0	2	0	1	210	162	48	100	431	690	1121	4	1	122	159	149	3	2497	741	853	896	15	2612	828	2533	1766	230	69	30.00%	253	63	75.10%	11	743	1441	51.56%	846	1673	50.57%	739	1484	49.80%	1568	851	1564	710	1438	720
Total Regular Season	400	188	157	0	17	17	13	8	2118	1864	254	200	98	81	0	9	6	6	0	1112	937	175	200	90	76	0	8	11	7	8	1006	927	79	461	2118	3382	5500	13	2	529	872	687	42	13601	4005	4876	4646	158	14621	4757	10446	8988	1036	380	36.68%	1232	382	68.99%	42	4138	7661	54.01%	4628	8795	52.62%	4198	7748	54.18%	8137	4276	8271	3761	7749	3918
Playoff
2021	5	1	4	0	0	0	0	0	22	31	-9	2	0	2	0	0	0	0	0	8	11	-3	3	1	2	0	0	0	0	0	14	20	-6	2	22	38	60	0	0	6	6	10	0	195	55	73	61	6	203	66	50	126	20	7	35.00%	15	4	73.33%	0	59	127	46.46%	57	116	49.14%	48	88	54.55%	107	60	103	47	93	46
2023	4	0	4	0	0	0	0	0	18	27	-9	2	0	2	0	0	0	0	0	9	15	-6	2	0	2	0	0	0	0	0	9	12	-3	0	18	31	49	0	0	5	6	7	0	148	36	48	64	0	179	62	95	80	5	1	20.00%	15	7	53.33%	0	35	81	43.21%	56	106	52.83%	46	94	48.94%	78	41	87	35	74	37
Total Playoff	9	1	8	0	0	0	0	0	40	58	-18	4	0	4	0	0	0	0	0	17	26	-9	5	1	4	0	0	0	0	0	23	32	-9	2	40	69	109	0	0	11	12	17	0	343	91	121	125	6	382	128	145	206	25	8	32.00%	30	11	63.33%	0	94	208	45.19%	113	222	50.90%	94	182	51.65%	185	101	191	82	167	84

Binghampton Senators 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	FO%	P/20
1	Philipp Kurashev	5	5	9	14	-5	0	8	3	26	19.23%	3	102	20.56	2	4	6	3	47.24%	2.72
2	Jonah Gadjovich	9	6	7	13	-1	33	17	6	32	18.75%	3	159	17.73	1	2	3	1	27.27%	1.63
3	Leo Komarov	5	3	9	12	-5	4	3	9	21	14.29%	3	111	22.33	2	3	5	2	38.46%	2.15
4	Tye Kartye	4	6	5	11	1	12	9	8	29	20.69%	4	96	24.11	0	1	1	1	36.84%	2.28
5	Vinni Lettieri	3	1	8	9	3	0	4	6	10	10.00%	7	62	20.88	0	1	1	1	51.43%	2.87

Binghampton Senators Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	SAR
1	Jonas Johansson	7	1	4	1	0.871	5.24	298	2	26	202	114
2	Jon Gillies	3	0	1	0	0.814	7.57	103	0	13	70	40
3	Collin Delia	3	0	2	0	0.827	8.09	141	0	19	110	56

	Binghampton Senators
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% GM : Yan Ferron \| Morale : 50 \| Team Overall : 58