Home
Main
Teams
- Pro Team
  - Eastern
    - Blue Jackets
    - Bruins
    - Canadiens
    - Capitals
    - Devils
    - Flyers
    - Hurricanes
    - Islanders
    - Lightning
    - Maple Leafs
    - Panthers
    - Penguins
    - Rangers
    - Red Wings
    - Sabres
    - Senators
  - Western
    - Avalanche
    - Blackhawks
    - Blues
    - Canucks
    - Coyotes
    - Ducks
    - Flames
    - Golden Knights
    - Jets
    - Kings
    - Kraken
    - Oilers
    - Predators
    - Sharks
    - Stars
    - Wild
- Farm Team
  - Eastern Conference
    - Americans
    - Bears
    - Bruins
    - Checkers
    - Comets
    - Crunch
    - Griffins
    - Islanders
    - Marlies
    - Monsters
    - Penguins
    - Phantoms
    - Rocket
    - Senators
    - Wolf Pack
    - Wolves
  - Western Conference
    - Admirals
    - Barracuda
    - Canucks
    - Condors
    - Eagles
    - Firebirds
    - Gulls
    - IceHogs
    - Moose
    - Reign
    - Roadrunners
    - Silver Knights
    - Stars
    - Thunderbirds
    - Wild
    - Wranglers
Pro League
Farm League
League
History
Search
Season Stat
- Pro League
- Farm League
Legacy Pages
Help

	Senators
	GP: 0 \| W: 0 \| L: 0 GF: 0 \| GA: 0 \| PP%: 0.00% \| PK%: 0.00% GM : Eric Kozlowski \| Morale : 50 \| Team Overall : 62

Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Senators
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Web Lines Editor

Team Stats


	General Manager	Eric Kozlowski
		Atlantic Division
		Eastern Conference




	Arena Capacity	5,000
	Attendance
		5,000

		20
		20
		40 / 55
	Prospects	15

Show or Hide Column

Filter Tips

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

#	Player Name	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary Average
1	Joel L'Esperance	0	X				100.00	53	61	82	56	55	73	84	46	65	60	65	44	55	25	40	0	50	63	0	27	1	791,700$
2	Kyle Rau	0	X				100.00	53	58	82	56	55	65	75	44	65	60	65	48	54	25	40	0	50	62	0	30	1	750,000$
3	Tristen Nielsen (R)	0	X				100.00	54	51	80	56	56	58	55	44	65	61	64	48	54	25	40	0	50	61	0	23	1	934,250$
4	Danny O'Regan	0	X	X			100.00	52	57	84	57	56	62	72	46	65	61	64	41	55	25	40	0	50	61	0	29	1	750,000$
5	Gabriel Bourque	29		X			100.00	53	64	83	54	53	79	91	40	36	58	64	42	52	25	40	0	50	61	0	32	1	750,000$
6	Dominic Toninato	0	X	X			100.00	52	55	83	56	56	59	68	44	65	59	65	47	54	25	40	0	50	61	0	29	1	775,000$
7	Pierrick Dube	0			X		100.00	53	52	82	56	57	58	60	44	36	59	65	49	54	25	40	0	50	61	0	22	3	925,000$
8	Luke Toporowski	0		X			100.00	53	54	82	55	56	58	64	42	36	59	65	46	53	25	40	0	50	60	0	22	3	925,000$
9	Maxim Marushev (R)	0	X				100.00	52	57	84	53	53	63	73	39	65	57	64	38	51	25	40	0	50	58	0	24	1	925,000$
10	Brandon Cutler (R)	0	X				100.00	53	48	83	51	52	58	49	36	65	56	63	33	50	25	40	0	50	56	0	23	2	943,500$
11	Daniel D'Amato	0	X	X	X		100.00	52	41	84	51	53	58	45	37	65	57	63	34	50	25	40	0	50	56	0	22	3	925,000$
12	Darren Raddysh	0				X	100.00	73	51	96	68	80	61	55	64	40	67	69	55	66	66	66	0	50	74	0	27	1	800,625$
13	Griffin Mendel (R)	0				X	100.00	56	35	77	61	60	58	45	50	36	64	66	46	58	25	40	0	50	64	0	24	2	952,750$
14	Louie Belpedio	0				X	100.00	55	65	79	53	53	81	94	40	36	58	64	41	52	25	40	0	50	61	0	27	1	813,750$
15	Peetro Seppala	0				X	100.00	53	65	82	51	52	82	95	37	36	57	63	40	50	25	40	0	50	60	0	22	2	925,000$
16	Otto Leskinen (R)	0				X	100.00	54	42	81	53	56	58	45	39	36	59	63	40	51	25	40	0	50	59	0	26	1	750,000$
17	Philip Kemp (R)	0				X	100.00	53	58	82	52	53	65	75	38	36	58	63	42	51	25	40	0	50	59	0	24	1	800,000$
18	Frederic Allard	0				X	100.00	53	56	82	52	53	60	69	37	36	57	63	39	50	25	40	0	50	57	0	25	2	811,200$
Scratches

	TEAM AVERAGE						100.00	54	54	83	55	56	64	67	43	49	59	64	43	53	27	41	0	50	61

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary Average
1	Kevin Mandolese (R)	100.00	72	65	53	74	75	61	73	70	69	73	72	25	55	0	50	71	0	22	1	925,000$
2	David Tendeck (R)	100.00	74	65	53	63	74	60	71	55	60	75	65	25	55	0	50	66	0	23	1	925,000$
Scratches

	TEAM AVERAGE	100.00	73	65	53	69	75	61	72	63	65	74	69	25	55	0	50	69

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

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	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 Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Show or Hide Column

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade Clause	Trade Block	Force Waivers	Contract	Type	Current Salary	Salary Remaining	Salary Average	Salary Ave Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Brandon Cutler	Senators (OTT)	C	23	2000-01-04	Yes	201 Lbs	6 ft2	No	No	No	2	Pro & Farm	943,500$	471,750$	943,500$	471,750$	0$	0$	No	943,500$		Link / NHL Link
Daniel D'Amato	Senators (OTT)	C/LW/RW	22	2001-04-08	No	182 Lbs	6 ft1	No	No	No	3	Farm Only	925,000$	462,500$	925,000$	462,500$	0$	0$	No	925,000$	925,000$	Link / NHL Link
Danny O'Regan	Senators (OTT)	C/LW	29	1994-01-30	No	180 Lbs	5 ft10	No	No	No	1	Pro & Farm	750,000$	375,000$	750,000$	375,000$	0$	0$	No			Link / NHL Link
Darren Raddysh	Senators (OTT)	D	27	1996-02-28	No	200 Lbs	6 ft1	No	No	No	1	Pro & Farm	800,625$	400,312$	800,625$	400,312$	0$	0$	No			Link / NHL Link
David Tendeck	Senators (OTT)	G	23	1999-11-25	Yes	180 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	462,500$	925,000$	462,500$	0$	0$	No			Link / NHL Link
Dominic Toninato	Senators (OTT)	C/LW	29	1994-03-09	No	190 Lbs	6 ft2	No	No	No	1	Pro & Farm	775,000$	387,500$	775,000$	387,500$	0$	0$	No			Link / NHL Link
Frederic Allard	Senators (OTT)	D	25	1997-12-27	No	179 Lbs	6 ft1	No	No	No	2	Pro & Farm	811,200$	405,600$	811,200$	405,600$	0$	0$	No	811,200$		Link / NHL Link
Gabriel Bourque	Senators (OTT)	LW	32	1990-09-23	No	206 Lbs	5 ft10	No	No	No	1	Pro & Farm	750,000$	375,000$	750,000$	375,000$	0$	0$	No			Link / NHL Link
Griffin Mendel	Senators (OTT)	D	24	1999-02-18	Yes	220 Lbs	6 ft6	No	No	No	2	Pro & Farm	952,750$	476,375$	952,750$	476,375$	0$	0$	No	952,750$		Link / NHL Link
Joel L'Esperance	Senators (OTT)	C	27	1995-08-18	No	210 Lbs	6 ft2	No	No	No	1	Pro & Farm	791,700$	395,850$	791,700$	395,850$	0$	0$	No			Link / NHL Link
Kevin Mandolese	Senators (OTT)	G	22	2000-08-22	Yes	200 Lbs	6 ft5	No	No	No	1	Pro & Farm	925,000$	462,500$	925,000$	462,500$	0$	0$	No			Link / NHL Link
Kyle Rau	Senators (OTT)	C	30	1992-10-24	No	171 Lbs	5 ft9	No	No	No	1	Pro & Farm	750,000$	375,000$	750,000$	375,000$	0$	0$	No			Link / NHL Link
Louie Belpedio	Senators (OTT)	D	27	1996-05-14	No	197 Lbs	5 ft11	No	No	No	1	Pro & Farm	813,750$	406,875$	813,750$	406,875$	0$	0$	No			Link / NHL Link
Luke Toporowski	Senators (OTT)	LW	22	2001-04-12	No	183 Lbs	5 ft11	No	No	No	3	Farm Only	925,000$	462,500$	925,000$	462,500$	0$	0$	No	925,000$	925,000$	Link / NHL Link
Maxim Marushev	Senators (OTT)	C	24	1999-01-01	Yes	176 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	462,500$	925,000$	462,500$	0$	0$	No			Link / NHL Link
Otto Leskinen	Senators (OTT)	D	26	1997-02-06	Yes	183 Lbs	5 ft11	No	No	No	1	Pro & Farm	750,000$	375,000$	750,000$	375,000$	0$	0$	No			Link / NHL Link
Peetro Seppala	Senators (OTT)	D	22	2000-08-17	No	192 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	462,500$	925,000$	462,500$	0$	0$	No	925,000$		Link / NHL Link
Philip Kemp	Senators (OTT)	D	24	1999-02-12	Yes	202 Lbs	6 ft3	No	No	No	1	Pro & Farm	800,000$	400,000$	800,000$	400,000$	0$	0$	No			Link / NHL Link
Pierrick Dube	Senators (OTT)	RW	22	2001-01-07	No	172 Lbs	5 ft8	No	No	No	3	Farm Only	925,000$	462,500$	925,000$	462,500$	0$	0$	No	925,000$	925,000$	Link / NHL Link
Tristen Nielsen	Senators (OTT)	C	23	2000-02-23	Yes	192 Lbs	5 ft10	No	No	No	1	Pro & Farm	934,250$	467,125$	934,250$	467,125$	0$	0$	No			Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
20	25.15	191 Lbs	6 ft1	1.50	854,889$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Dominic Toninato	Joel L'Esperance	Pierrick Dube	30	1	2	2
2	Gabriel Bourque	Kyle Rau	Daniel D'Amato	30	1	2	2
3	Luke Toporowski	Danny O'Regan	Tristen Nielsen	20	1	2	2
4	Joel L'Esperance	Tristen Nielsen	Kyle Rau	20	1	2	2

5 vs 5 Defence
Line #	Defence	Defence	Time %	PHY	DF	OF
1	Philip Kemp	Darren Raddysh	30	1	2	2
2	Griffin Mendel	Louie Belpedio	30	1	2	2
3	Peetro Seppala	Otto Leskinen	20	1	2	2
4	Philip Kemp	Darren Raddysh	20	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Dominic Toninato	Joel L'Esperance	Pierrick Dube	50	1	2	2
2	Gabriel Bourque	Kyle Rau	Daniel D'Amato	50	1	2	2

Power Play Defence
Line #	Defence	Defence	Time %	PHY	DF	OF
1	Philip Kemp	Darren Raddysh	50	1	2	2
2	Griffin Mendel	Louie Belpedio	50	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Joel L'Esperance	Kyle Rau	50	1	2	2
2	Dominic Toninato	Gabriel Bourque	50	1	2	2

Penalty Kill 4 Players Defence
Line #	Defence	Defence	Time %	PHY	DF	OF
1	Peetro Seppala	Darren Raddysh	50	1	2	2
2	Griffin Mendel	Louie Belpedio	50	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defence	Defence	Time %	PHY	DF	OF
1	Joel L'Esperance	50	1	2	2	Otto Leskinen	Darren Raddysh	50	1	2	2
2	Kyle Rau	50	1	2	2	Griffin Mendel	Louie Belpedio	50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Joel L'Esperance	Kyle Rau	50	1	2	2
2	Dominic Toninato	Gabriel Bourque	50	1	2	2

4 vs 4 Defence
Line #	Defence	Defence	Time %	PHY	DF	OF
1	Philip Kemp	Darren Raddysh	50	1	2	2
2	Griffin Mendel	Louie Belpedio	50	1	2	2

Last Minute Offensive
Left Wing	Center	Right Wing	Defence	Defence
Dominic Toninato	Joel L'Esperance	Pierrick Dube	Griffin Mendel	Darren Raddysh

Last Minute Defensive
Left Wing	Center	Right Wing	Defence	Defence
Dominic Toninato	Joel L'Esperance	Pierrick Dube	Griffin Mendel	Darren Raddysh

Extra Forwards
Normal	PowerPlay	Penalty Kill
Maxim Marushev, Brandon Cutler, Danny O'Regan	Maxim Marushev, Brandon Cutler	Danny O'Regan

Extra Defencemen
Normal	PowerPlay	Penalty Kill
Peetro Seppala, Otto Leskinen, Philip Kemp	Peetro Seppala	Otto Leskinen, Philip Kemp

Penalty Shots
Joel L'Esperance, Kyle Rau, Dominic Toninato, Gabriel Bourque, Pierrick Dube

Goalie
#1 : Kevin Mandolese, #2 : David Tendeck

Custom OT Lines Forwards
Joel L'Esperance, Kyle Rau, Dominic Toninato, Gabriel Bourque, Pierrick Dube, Danny O'Regan, Danny O'Regan, Tristen Nielsen, Luke Toporowski, Maxim Marushev, Daniel D'Amato

Custom OT Lines Defencemen
Philip Kemp, Darren Raddysh, Griffin Mendel, Louie Belpedio, Peetro Seppala

Show or Hide Column

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
	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	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	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	0.00%	0	0	0.00%	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	0.00%	0	0	0.00%	0	0	0.00%

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 Column

Filter Tips

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

Day	Game	Visiting Team	Score	Home Team	Score	ST	OT	SO	RI	Link

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	3500	1500
Ticket Price	50	25
Attendance	0.00%	0.00%
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
41	0 - 0.00%	0$	0$	5000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	17,097,776$	17,097,776$	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$	14	0$	0$

Senators

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSS
1	Joel L'Esperance	246	157	226	383	79	127	313	294	831	18.89%	101	4968	20.20	25	32	57	113	7	7	14	21	13	8	46.43%	13	1.54	2
2	Mikko Lehtonen	82	115	150	265	173	22	123	109	293	39.25%	138	2006	24.47	16	18	34	50	4	6	10	7	7	3	0.00%	11	2.64	0
3	Dakota Joshua	165	74	125	199	129	72	280	125	373	19.84%	27	2671	16.19	1	12	13	11	0	0	0	2	9	2	52.99%	6	1.49	1
4	Gustav Lindstrom	82	75	121	196	142	2	79	90	262	28.63%	94	1722	21.01	9	6	15	29	1	7	8	2	7	2	0.00%	3	2.28	0
5	Frederic Allard	202	69	98	167	140	73	118	207	273	25.27%	165	2573	12.74	8	3	11	26	0	0	0	1	8	1	0.00%	8	1.30	0

Senators

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Will Cranley	81	69	9	3	0.835	4.50	4877	0	8	366	2222	1307	17	0	0.600	5
2	Dan Vladar	82	54	26	2	0.915	2.77	4933	8	0	228	2692	1543	1	0	0.750	8
3	Kevin Mandolese	83	17	60	6	0.865	5.12	4985	2	0	425	3152	1947	5	4	0.000	0

Senators

Show or Hide Column

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Regular Season
2021	82	67	9	0	3	1	0	2	799	374	425	41	36	3	0	1	1	0	0	447	184	263	41	31	6	0	2	0	0	2	352	190	162	143	799	1319	2118	0	8	0	310	249	237	2659	0	859	863	927	2242	831	1677	1513	203	81	39.90%	196	50	74.49%	22	628	1307	48.05%	567	1216	46.63%	828	1772	46.73%	1760	1171	1977	589	1200	613
2022	82	50	26	0	2	1	2	1	325	229	96	41	30	10	0	1	0	0	0	180	99	81	41	20	16	0	1	1	2	1	145	130	15	110	325	572	897	0	0	110	117	94	5	2866	905	1001	948	21	2692	914	387	1674	172	47	27.33%	188	35	81.38%	8	772	1479	52.20%	803	1579	50.85%	579	1096	52.83%	1819	1143	1781	686	1339	666
2023	82	13	60	0	3	6	0	0	220	423	-203	41	10	26	0	2	3	0	0	116	181	-65	41	3	34	0	1	3	0	0	104	242	-138	38	220	350	570	4	0	79	72	66	3	2941	1038	908	988	7	3136	1159	518	1544	118	34	28.81%	80	18	77.50%	2	800	1600	50.00%	686	1406	48.79%	606	1209	50.12%	1630	977	1925	674	1375	682
Total Regular Season	246	130	95	0	8	8	2	3	1344	1026	318	123	76	39	0	4	4	0	0	743	464	279	123	54	56	0	4	4	2	3	601	562	39	291	1344	2241	3585	4	8	189	499	409	245	8466	1943	2768	2799	955	8070	2904	2582	4731	493	162	32.86%	464	103	77.80%	32	2200	4386	50.16%	2056	4201	48.94%	2013	4077	49.37%	5211	3292	5683	1950	3915	1961
Playoff
2021	16	11	5	0	0	0	0	0	125	96	29	9	7	2	0	0	0	0	0	80	56	24	7	4	3	0	0	0	0	0	45	40	5	22	125	209	334	0	0	0	67	31	27	513	0	179	163	169	464	197	261	295	42	18	42.86%	38	10	73.68%	4	119	237	50.21%	106	235	45.11%	145	334	43.41%	392	281	347	114	222	107
2022	4	0	4	0	0	0	0	0	9	14	-5	2	0	2	0	0	0	0	0	6	9	-3	2	0	2	0	0	0	0	0	3	5	-2	0	9	16	25	0	0	4	2	3	0	119	31	34	54	0	143	43	30	66	11	0	0.00%	15	4	73.33%	0	40	75	53.33%	47	84	55.95%	25	51	49.02%	83	48	91	34	65	32
Total Playoff	20	11	9	0	0	0	0	0	134	110	24	11	7	4	0	0	0	0	0	86	65	21	9	4	5	0	0	0	0	0	48	45	3	22	134	225	359	0	0	4	69	34	27	632	31	213	217	169	607	240	291	361	53	18	33.96%	53	14	73.58%	4	159	312	50.96%	153	319	47.96%	170	385	44.16%	475	330	438	149	287	139

Senators

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20
1	Mikko Lehtonen	16	19	27	46	13	0	29	20	69	27.54%	32	379	23.74	4	3	7	15	0	1	1	0	1	1	0.00%	1	2.42
2	Joel L'Esperance	20	27	18	45	2	0	15	17	91	29.67%	8	369	18.47	6	3	9	11	3	0	3	8	1	0	42.38%	4	2.44
3	Gustav Lindstrom	16	18	25	43	23	0	30	32	52	34.62%	23	331	20.74	2	3	5	6	0	1	1	1	0	2	0.00%	2	2.59
4	Frederic Allard	20	15	27	42	14	15	21	22	71	21.13%	28	340	17.01	3	2	5	15	0	2	2	1	4	0	0.00%	2	2.47
5	Dakota Joshua	20	12	23	35	19	4	27	9	59	20.34%	1	324	16.21	0	5	5	5	1	0	1	1	1	0	59.92%	1	2.16

Senators

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Will Cranley	16	11	3	2	0.793	5.99	961	0	0	96	464	264	3	0	0.000	0
2	Dan Vladar	4	0	4	0	0.902	3.52	239	0	0	14	143	91	0	0	0.000	0

Back to the Top