Ottawa Senators
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Career Team Stats

Team Leaders

Team Stats

Team Info
	General Manager	Emil Vinglöv
	Division	Atlantic
	Conference	Eastern Conference
	Captain	Zach Metsa
	Assistant #1	Trey Taylor
	Assistant #2	Stephen Halliday
Arena Info
	Capacity	3,000
	Attendance
	Season Tickets	300
Roster Info
	Pro Team	9
	Farm Team	16
	Contract Limit	25 / 50
	Prospects	27
Team History
	This Season	0-0-0 (0PTS)
	History	46-27-5 (0.590%)
	Playoff Appearances	1
	Playoff Record (W-L)	7 - 7 (0.500%)
	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	Stephen Halliday (A)	0	X	X			100.00	77	56	98	75	77	59	69	80	67	77	68	56	52	45	45	0	50	64	0	23	2	1,075,000$
2	Oskar Pettersson	0			X		100.00	65	36	93	56	62	50	89	57	45	55	56	56	50	44	44	0	50	54	0	21	1	835,000$
3	Zach Metsa (C)	0				X	100.00	61	38	95	64	67	57	74	59	25	62	56	75	50	52	49	0	50	60	0	26	1	850,000$
4	Djibril Toure	0				X	100.00	84	87	67	53	68	50	73	50	25	49	47	74	43	44	44	0	50	57	0	22	1	850,000$
5	Trey Taylor (A)	0				X	100.00	65	35	89	59	61	50	89	57	25	54	52	68	48	46	46	0	50	57	0	23	1	975,000$
6	Jorian Donovan	0				X	100.00	71	60	79	58	60	50	85	56	25	54	49	63	46	44	44	0	50	56	0	21	1	871,666$
7	Tomas Hamara (R)	0				X	100.00	65	36	91	54	60	50	78	53	25	49	49	67	45	44	44	0	50	55	0	21	1	775,000$
Scratches

	TEAM AVERAGE						100.00	70	50	87	60	65	52	80	59	34	57	54	66	48	46	45	0	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	Laurent Brossoit (R)	0	100.00	57	59	46	81	56	56	56	56	56	56	56	70	67	0	50	59	0	32	1	775,000$
2	Isaac Poulter	0	100.00	58	46	41	73	57	47	49	47	50	52	50	52	46	0	50	51	0	24	1	850,000$
Scratches

	TEAM AVERAGE		100.00	58	53	44	77	57	52	53	52	53	54	53	61	57	0	50	55

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

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 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	Link
Djibril Toure	Belleville Senators (OTT)	D	22	2003-06-05	CAN	No	203 Lbs	6 ft7	No	No	Draft	No	No	1	2026-07-02	False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Isaac Poulter	Belleville Senators (OTT)	G	24	2001-09-12	CAN	No	166 Lbs	6 ft0	No	No	Assign Manually	No	No	1	2026-07-02	False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jorian Donovan	Belleville Senators (OTT)	D	21	2004-04-05	CAN	No	180 Lbs	6 ft2	No	No	Draft	No	No	1	2026-07-02	False	False	Pro & Farm	871,666$	871,666$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Laurent Brossoit	Belleville Senators (OTT)	G	32	1993-03-23	CAN	Yes	215 Lbs	6 ft3	No	No	Draft	No	No	1	2026-06-12	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Oskar Pettersson	Belleville Senators (OTT)	RW	21	2004-02-04	SWE	No	198 Lbs	6 ft2	No	No	Assign Manually	No	No	1	2024-07-09	False	False	Pro & Farm	835,000$	835,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Stephen Halliday	Belleville Senators (OTT)	C/LW	23	2002-07-02	CAN	No	213 Lbs	6 ft3	No	No	Assign Manually	No	No	2	2026-06-12	False	False	Pro & Farm	1,075,000$	1,075,000$	0$	0$	No	1,075,000$	-	-	-	-	-	-	-	-	1,075,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Tomas Hamara	Belleville Senators (OTT)	D	21	2004-03-09	CZE	Yes	192 Lbs	6 ft0	No	No	Draft	No	No	1	2026-06-12	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Trey Taylor	Belleville Senators (OTT)	D	23	2002-02-04	CAN	No	190 Lbs	6 ft2	No	No	Assign Manually	No	No	1	2025-07-14	False	False	Pro & Farm	975,000$	975,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Zach Metsa	Belleville Senators (OTT)	D	26	1998-10-19	USA	No	198 Lbs	5 ft9	No	No	Assign Manually	Yes	Yes	1	2026-07-02	False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
9	23.67	195 Lbs	6 ft2	1.11	872,963$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				35	1	2	2
2				30	1	2	2
3				20	1	2	2
4				15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			35	1	2	2
2			30	1	2	2
3			20	1	2	2
4			15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

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

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2		40	1	2	2			40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , ,

Goalie
#1 : , #2 :

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	RI
	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	Arena Capacity	Team Popularity
3	0 - 0%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	785,667$	785,667$	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$

Belleville 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	Zack MacEwen	82	42	77	119	6	96	164	176	366	11.48%	58	1741	21.24	9	24	33	30	1	1	2	4	6	3	51.16%	1	1.37	2	9
2	Angus Crookshank	82	55	43	98	5	29	140	104	315	17.46%	60	1778	21.68	13	12	25	37	0	1	1	6	7	1	36.36%	3	1.10	3	9
3	Carson Meyer	82	32	44	76	2	2	186	89	229	13.97%	28	1393	16.99	6	9	15	14	0	1	1	2	2	5	19.44%	0	1.09	0	2
4	Adam Gaudette	82	33	42	75	4	60	134	129	234	14.10%	45	1703	20.77	9	9	18	25	2	0	2	8	2	3	46.58%	0	0.88	2	6
5	Matthew Highmore	82	34	31	65	1	17	112	86	203	16.75%	18	1304	15.90	6	6	12	13	0	0	0	0	5	2	32.65%	0	1.00	0	0

Belleville 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	Mads Sogaard	82	44	26	9	0.880	3.65	4751	2	0	289	2417	1170	6	2	0.769	26
2	Leevi Merilainen	10	2	1	0	0.867	3.46	208	0	0	12	90	51	0	0	0	0

Belleville 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
2024	82	39	27	0	2	6	5	3	326	306	20	41	20	13	0	2	1	3	2	172	148	24	41	19	14	0	0	5	2	1	154	158	-4	101	326	525	851	2	0	35	136	148	9	2744	671	1045	1012	40	2509	870	619	1981	223	57	25.56%	236	64	72.88%	3	833	1667	49.97%	863	1759	49.06%	674	1302	51.77%	1711	924	1668	798	1585	771
Total Regular Season	82	39	27	0	2	6	5	3	326	306	20	41	20	13	0	2	1	3	2	172	148	24	41	19	14	0	0	5	2	1	154	158	-4	101	326	525	851	2	0	35	136	148	9	2744	671	1045	1012	40	2509	870	619	1981	223	57	25.56%	236	64	72.88%	3	833	1667	49.97%	863	1759	49.06%	674	1302	51.77%	1711	924	1668	798	1585	771
Playoff
2024	14	7	7	0	0	0	0	0	58	55	3	6	4	2	0	0	0	0	0	28	19	9	8	3	5	0	0	0	0	0	30	36	-6	14	58	101	159	0	1	17	18	23	0	422	116	153	149	4	423	113	113	351	35	9	25.71%	38	8	78.95%	1	130	266	48.87%	158	273	57.88%	119	226	52.65%	286	151	283	138	273	131
Total Playoff	14	7	7	0	0	0	0	0	58	55	3	6	4	2	0	0	0	0	0	28	19	9	8	3	5	0	0	0	0	0	30	36	-6	14	58	101	159	0	1	17	18	23	0	422	116	153	149	4	423	113	113	351	35	9	25.71%	38	8	78.95%	1	130	266	48.87%	158	273	57.88%	119	226	52.65%	286	151	283	138	273	131

Belleville 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	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20
1	Zack MacEwen	14	9	16	25	3	28	33	25	47	19.15%	9	282	20.17	3	4	7	6	0	1	1	0	0	1	55.92%	1	1.77
2	Angus Crookshank	14	9	12	21	4	9	22	26	47	19.15%	5	290	20.74	3	2	5	7	0	0	0	4	0	0	44.44%	0	1.45
3	Adam Gaudette	14	10	10	20	6	10	21	25	47	21.28%	9	281	20.09	2	3	5	5	0	1	1	2	2	0	50.00%	1	1.42
4	Jan Jenik	14	6	6	12	-1	21	19	18	24	25.00%	1	220	15.72	1	0	1	1	0	0	0	0	2	1	53.54%	0	1.09
5	Carson Meyer	14	7	4	11	2	0	33	15	29	24.14%	7	235	16.80	0	0	0	0	1	0	1	3	2	0	60.00%	1	0.94

Belleville Senators 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
1	Mads Sogaard	14	7	5	2	0.869	3.81	787	0	1	50	381	197	0	0	0	0
2	Leevi Merilainen	3	0	0	0	0.881	5.46	55	0	0	5	42	24	0	0	0	0

	Belleville Senators
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% GM : Emil Vinglöv \| Morale : 50 \| Team Overall : 57