LSMH - LIGUE SIMULE DES MORDUS DE HOCKEY

Senators
Roster
Scoring
Informations
Lines
Stats
Schedule
Finance
Records
Web Lines Editor

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
1	Martin Frk (A)			X		100.00	70	42	71	67	79	89	85	66	69	65	68	64	67	73	75	43	75	68	0
2	Cameron Hughes	X				100.00	65	39	75	66	72	81	86	63	74	68	64	62	65	70	72	39	75	66	0
3	Vinni Lettieri (C)	X				100.00	75	37	86	67	66	90	84	63	68	65	64	62	66	71	73	34	75	66	0
4	Dominic Toninato	X				100.00	74	42	69	63	81	86	83	62	65	61	59	64	60	72	74	36	75	65	0
5	Jaroslav Chmelar			X		100.00	80	43	78	65	92	79	87	58	55	60	59	64	57	63	65	55	75	65	0
6	Noah Gregor	X	X	X		100.00	72	42	84	69	75	79	81	64	59	57	65	63	64	70	69	50	75	65	0
7	Brendan Hoffman (R)			X		100.00	80	39	95	56	89	81	68	57	62	59	58	63	56	65	67	42	75	63	0
8	Cooper Gay (R)			X		100.00	79	40	85	57	88	73	63	59	50	52	62	61	58	64	66	43	75	62	0
9	Zakhar Bardakov (R)	X				100.00	69	37	93	63	80	70	83	57	61	58	65	56	62	66	65	47	75	62	0
10	Benjamin Berard (R)		X			100.00	64	39	91	62	73	83	72	58	54	55	66	57	63	67	69	37	75	61	0
11	Bradley Marek		X			100.00	77	45	67	54	86	74	80	55	51	53	56	58	54	66	68	42	75	60	0
12	Ty Emberson				X	100.00	74	43	92	68	73	86	88	63	30	70	55	80	49	66	67	62	75	69	0
13	Alex Alexeyev				X	100.00	79	40	87	63	92	83	68	62	30	60	52	64	48	67	69	66	75	64	0
14	Djibril Toure				X	100.00	90	56	53	55	99	64	73	54	30	53	53	61	45	63	65	44	75	62	0
15	Cade Webber (A)				X	100.00	89	53	82	55	98	62	77	54	30	53	51	61	45	65	67	59	75	61	0
16	Jack Millar				X	100.00	84	41	90	55	93	66	79	53	30	56	52	61	45	66	68	42	75	61	0
17	Corson Ceulemans				X	100.00	71	38	76	58	80	82	78	57	30	56	55	59	46	63	65	81	75	60	0
Scratches
1	Zayde Wisdom			X		100.00	62	38	85	57	71	78	86	56	62	59	58	60	55	64	66	61	75	60	0
2	Givani Smith			X		100.00	74	83	55	56	83	73	69	55	50	54	53	58	57	68	70	61	75	59	0
3	Gleb Veremyev	X				100.00	78	42	78	55	87	71	65	54	59	52	53	56	51	63	65	45	75	59	0
4	Aatu Jamsen			X		100.00	59	37	86	58	68	69	77	57	53	55	59	54	58	63	65	49	75	58	0
5	Justin Ertel		X			100.00	70	39	81	55	79	65	72	53	58	56	54	57	52	63	65	64	75	58	0
6	Ryan Mast				X	100.00	85	42	86	56	94	65	75	54	30	57	50	60	45	63	65	49	75	61	0
7	Jake Furlong				X	100.00	66	41	73	57	75	65	74	55	30	56	54	58	46	62	64	57	75	58	0
8	Trey Taylor (R)				X	100.00	69	38	87	55	78	72	74	54	30	56	53	56	46	64	66	43	75	58	0

	TEAM AVERAGE					100.00	74	43	80	60	82	75	77	58	49	58	58	61	54	66	68	50	75	62

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
1	Dylan Garand	100.00	76	86	82	74	75	74	76	75	74	76	75	64	71	60	75	74	0
Scratches
1	Gabriel Carriere (R)	96.00	74	81	77	78	73	72	74	73	72	74	73	66	75	42	75	73	0

	TEAM AVERAGE	98.00	75	84	80	76	74	73	75	74	73	75	74	65	73	51	75	74

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dan Muse	73	75	83	76	64	60	83	USA	43	3	1,000,000$

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	P/20	S1	S2	S3
1	Martin Frk	Senators (OTT)	RW	6	3	4	7	1	6	10	14	21	8	19	14.29%	4	153	25.53	0	2	2	3	24	1	27	0	0	50.00%	44	0.91	1	0	0
2	Jaroslav Chmelar	Senators (OTT)	RW	6	1	5	6	1	6	16	15	20	6	18	5.00%	1	114	19.08	1	2	3	11	23	0	0	0	0	50.00%	10	1.05	0	1	0
3	Noah Gregor	Senators (OTT)	C/LW/RW	6	0	6	6	0	0	9	9	11	5	21	0.00%	0	110	18.41	0	4	4	5	23	0	0	0	0	9.09%	11	1.09	0	0	1
4	Vinni Lettieri	Senators (OTT)	C	6	2	4	6	1	4	11	16	24	7	13	8.33%	2	129	21.51	1	2	3	7	23	0	13	1	0	47.46%	177	0.93	0	0	1
5	Ty Emberson	Senators (OTT)	D	5	3	3	6	0	4	2	17	13	9	8	23.08%	11	106	21.30	1	0	1	8	15	0	12	0	0	0.00%	0	1.13	0	1	0
6	Benjamin Berard	Senators (OTT)	LW	6	0	4	4	1	0	3	8	14	7	16	0.00%	0	116	19.49	0	2	2	3	23	0	2	0	0	22.22%	9	0.68	0	0	0
7	Danton Heinen	Senators	C/LW	4	2	2	4	0	2	1	14	19	6	6	10.53%	4	84	21.07	1	1	2	6	9	0	9	0	0	55.91%	127	0.95	0	1	0
8	Jack Millar	Senators (OTT)	D	6	0	4	4	5	2	6	4	9	3	3	0.00%	7	125	20.91	0	1	1	3	24	0	20	0	0	0.00%	0	0.64	0	0	1
9	Cameron Hughes	Senators (OTT)	C	6	3	0	3	-2	6	3	11	19	3	15	15.79%	2	82	13.83	1	0	1	2	5	3	14	0	1	45.92%	98	0.72	0	1	0
10	Cooper Gay	Senators (OTT)	RW	6	0	3	3	4	0	0	1	6	2	8	0.00%	1	29	4.90	0	0	0	0	0	0	0	0	0	66.67%	3	2.04	0	0	0
11	Alex Alexeyev	Senators (OTT)	D	6	0	2	2	-2	8	5	12	11	2	3	0.00%	12	150	25.12	0	2	2	7	23	0	21	0	0	0.00%	0	0.27	0	0	0
12	Brendan Hoffman	Senators (OTT)	RW	6	2	0	2	-2	0	2	6	11	4	8	18.18%	1	72	12.06	0	0	0	0	0	0	8	1	0	81.82%	11	0.55	1	0	0
13	Dominic Toninato	Senators (OTT)	C	6	1	1	2	-1	2	7	10	17	4	7	5.88%	4	76	12.67	0	0	0	1	7	1	14	0	0	48.00%	75	0.53	0	0	0
14	Ryan Mast	Senators (OTT)	D	4	2	0	2	2	2	7	5	6	2	2	33.33%	5	62	15.55	2	0	2	4	10	0	9	0	0	0.00%	0	0.64	0	0	0
15	Cade Webber	Senators (OTT)	D	6	0	1	1	-2	8	18	1	1	0	3	0.00%	4	81	13.51	0	0	0	0	3	0	4	0	0	0.00%	0	0.25	0	0	0
16	Bradley Marek	Senators (OTT)	LW	3	0	1	1	-3	0	9	1	7	0	0	0.00%	1	37	12.33	0	0	0	0	0	0	3	0	0	100.00%	2	0.54	0	0	0
17	Corson Ceulemans	Senators (OTT)	D	4	1	0	1	-3	2	4	0	2	0	2	50.00%	3	58	14.53	0	0	0	0	0	0	9	0	0	0.00%	0	0.34	0	0	0
18	Djibril Toure	Senators (OTT)	D	6	0	1	1	2	6	23	2	3	2	5	0.00%	11	135	22.53	0	0	0	3	21	0	19	0	0	0.00%	0	0.15	0	0	0
19	Zayde Wisdom	Senators (OTT)	RW	3	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.10	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0
20	Zakhar Bardakov	Senators (OTT)	C	6	0	0	0	0	0	0	1	1	0	0	0.00%	0	2	0.41	0	0	0	1	1	0	0	0	0	100.00%	1	0.00	0	0	0
Team Total or Average				107	20	41	61	2	58	136	147	215	70	157	9.30%	73	1728	16.15	7	16	23	64	241	5	190	2	1	49.30%	568	0.71	2	4	3

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	GA	SA	ST	BG	S1
1	Gabriel Carriere	Senators (OTT)	3	2	1	0	0.925	3.35	179	10	133	3	3	1
2	Dylan Garand	Senators (OTT)	3	1	1	1	0.935	2.67	180	8	123	3	3	1
Team Total or Average			6	3	2	1	0.930	3.01	359	18	256	6	6	2

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	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link
Aatu Jamsen	RW	23	2003-07-22	No	154 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Alex Alexeyev	D	27	1999-11-15	No	229 Lbs	6 ft4	No	No	No	4	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Benjamin Berard	LW	28	1999-02-13	Yes	192 Lbs	6 ft0	No	No	No	3	UFA	Pro & Farm	975,000$	0$	0$	No	Link / NHL Link
Bradley Marek	LW	26	2000-11-13	No	212 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Brendan Hoffman	RW	25	2001-10-09	Yes	230 Lbs	6 ft3	No	No	No	3	ELC	Pro & Farm	970,000$	0$	0$	No	Link / NHL Link
Cade Webber	D	26	2001-01-05	No	212 Lbs	6 ft7	No	No	No	3	RFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Cameron Hughes	C	30	1996-10-09	No	190 Lbs	6 ft0	No	No	No	3	UFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Cooper Gay	RW	25	2002-03-15	Yes	209 Lbs	6 ft4	No	No	No	2	ELC	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Corson Ceulemans	D	24	2003-05-05	No	198 Lbs	6 ft2	No	No	No	4	ELC	Pro & Farm	1,500,000$	0$	0$	No	Link / NHL Link
Djibril Toure	D	24	2003-06-05	No	217 Lbs	6 ft7	No	No	No	3	ELC	Pro & Farm	895,000$	0$	0$	No	Link / NHL Link
Dominic Toninato	C	33	1994-03-09	No	201 Lbs	6 ft2	No	No	Yes	3	UFA	Pro & Farm	875,000$	0$	0$	No	Link / NHL Link
Dylan Garand	G	25	2002-06-07	No	185 Lbs	6 ft1	No	No	No	4	ELC	Pro & Farm	1,999,999$	0$	0$	No	Link / NHL Link
Gabriel Carriere	G	26	2000-11-05	Yes	188 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Givani Smith	RW	29	1998-02-27	No	214 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Gleb Veremyev	C	24	2003-06-28	No	205 Lbs	6 ft4	No	No	No	2	ELC	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Jack Millar	D	26	2000-11-30	No	220 Lbs	6 ft5	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Jake Furlong	D	23	2004-03-04	No	189 Lbs	6 ft1	No	No	No	1	ELC	Pro & Farm	845,000$	0$	0$	No	Link / NHL Link
Jaroslav Chmelar	RW	23	2003-07-20	No	226 Lbs	6 ft4	No	No	No	3	ELC	Pro & Farm	755,000$	0$	0$	No	Link / NHL Link
Justin Ertel	LW	24	2003-05-27	No	192 Lbs	6 ft2	No	No	No	2	ELC	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Martin Frk	RW	33	1993-10-05	No	210 Lbs	6 ft1	No	No	No	3	UFA	Pro & Farm	980,000$	0$	0$	No	Link / NHL Link
Noah Gregor	C/LW/RW	28	1998-07-28	No	201 Lbs	6 ft0	No	No	Yes	3	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Ryan Mast	D	24	2003-01-14	No	221 Lbs	6 ft5	No	No	No	2	ELC	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Trey Taylor	D	25	2002-02-04	Yes	190 Lbs	6 ft2	No	No	No	1	ELC	Pro & Farm	975,000$	0$	0$	No	Link / NHL Link
Ty Emberson	D	27	2000-05-23	No	193 Lbs	6 ft0	No	No	Yes	4	UFA	Pro & Farm	3,138,000$	0$	0$	No	Link / NHL Link
Vinni Lettieri	C	32	1995-02-06	No	184 Lbs	5 ft10	No	No	Yes	2	UFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Zakhar Bardakov	C	26	2001-02-24	Yes	198 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	980,000$	0$	0$	No	Link / NHL Link
Zayde Wisdom	RW	24	2002-07-07	No	195 Lbs	5 ft11	No	No	No	3	ELC	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
27	26.30	202 Lbs	6 ft2	2.52	994,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Noah Gregor		Martin Frk	35	1	2	2
2	Benjamin Berard	Vinni Lettieri	Jaroslav Chmelar	30	1	2	2
3	Bradley Marek	Cameron Hughes	Brendan Hoffman	20	1	2	2
4		Dominic Toninato	Cooper Gay	15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ty Emberson	Alex Alexeyev	35	1	2	2
2	Djibril Toure	Jack Millar	30	1	2	2
3	Cade Webber	Corson Ceulemans	20	1	2	2
4	Ty Emberson	Alex Alexeyev	15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Noah Gregor		Martin Frk	60	1	2	2
2	Benjamin Berard	Vinni Lettieri	Jaroslav Chmelar	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ty Emberson	Alex Alexeyev	60	1	2	2
2	Djibril Toure	Jack Millar	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Martin Frk	60	1	2	2
2	Vinni Lettieri	Cameron Hughes	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ty Emberson	Alex Alexeyev	60	1	2	2
2	Djibril Toure	Jack Millar	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	Ty Emberson	Alex Alexeyev	60	1	2	2
2	Martin Frk	40	1	2	2	Djibril Toure	Jack Millar	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Martin Frk	60	1	2	2
2	Vinni Lettieri	Cameron Hughes	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ty Emberson	Alex Alexeyev	60	1	2	2
2	Djibril Toure	Jack Millar	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Noah Gregor		Martin Frk	Ty Emberson	Alex Alexeyev

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Noah Gregor		Martin Frk	Ty Emberson	Alex Alexeyev

Extra Forwards
Normal	PowerPlay	Penalty Kill
Zakhar Bardakov, Dominic Toninato, Brendan Hoffman	Zakhar Bardakov, Dominic Toninato	Brendan Hoffman

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Cade Webber, Corson Ceulemans, Djibril Toure	Cade Webber	Corson Ceulemans, Djibril Toure

Penalty Shots
, Martin Frk, Vinni Lettieri, Cameron Hughes, Dominic Toninato

Goalie
#1 : , #2 : Dylan Garand

Custom OT Lines Forwards
, Martin Frk, Vinni Lettieri, Cameron Hughes, Dominic Toninato, Noah Gregor, Noah Gregor, Jaroslav Chmelar, Brendan Hoffman, Zakhar Bardakov, Cooper Gay

Custom OT Lines Defensemen
Ty Emberson, Alex Alexeyev, Djibril Toure, Jack Millar, Cade Webber

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

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
6	7	W1	21	41	62	219	256	73	58	136	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	3	2	0	1	0	0	21	18

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	12	9

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	1	0	1	0	0	9	9

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	2	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
30	8	26.67%	28	5	82.14%	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
68	79	72	0	6	8	7	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
121	241	50.21%	124	256	48.44%	46	97	47.42%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
139	94	145	45	75	38

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	Visitor Team	Score	Home Team	Score	ST	OT	Link
2 - 2026-09-19	8	Checkers	1	Senators	3	W		BoxScore
4 - 2026-09-21	26	Senators	2	Phantoms	3	L	X	BoxScore
5 - 2026-09-22	37	Americans	4	Senators	3	L		BoxScore
8 - 2026-09-25	55	Senators	3	Islanders	1	W		BoxScore
9 - 2026-09-26	64	Senators	4	Griffins	5	L		BoxScore
11 - 2026-09-28	78	Checkers	4	Senators	6	W		BoxScore
13 - 2026-09-30	95	Bruins	-	Senators	-
14 - 2026-10-01	102	Senators	-	Rocket	-
17 - 2026-10-04	122	Marlies	-	Senators	-
19 - 2026-10-06	140	Comets	-	Senators	-
21 - 2026-10-08	148	Senators	-	IceHogs	-
23 - 2026-10-10	164	Senators	-	Marlies	-
25 - 2026-10-12	182	Americans	-	Senators	-
26 - 2026-10-13	190	Senators	-	Americans	-
28 - 2026-10-15	207	Marlies	-	Senators	-
31 - 2026-10-18	227	Senators	-	Checkers	-
32 - 2026-10-19	233	Senators	-	Bruins	-
34 - 2026-10-21	246	Wolves	-	Senators	-
36 - 2026-10-23	263	Rocket	-	Senators	-
38 - 2026-10-25	279	Senators	-	Monsters	-
40 - 2026-10-27	289	Islanders	-	Senators	-
42 - 2026-10-29	306	Senators	-	Stars	-
43 - 2026-10-30	320	Barracuda	-	Senators	-
45 - 2026-11-01	331	Senators	-	Barracuda	-
47 - 2026-11-03	347	Eagles	-	Senators	-
49 - 2026-11-05	364	Silver Knights	-	Senators	-
52 - 2026-11-08	377	Senators	-	Eagles	-
53 - 2026-11-09	385	Senators	-	Heat	-
55 - 2026-11-11	400	Senators	-	Wild	-
56 - 2026-11-12	411	Senators	-	Checkers	-
58 - 2026-11-14	422	Condors	-	Senators	-
60 - 2026-11-16	442	Monsters	-	Senators	-
63 - 2026-11-19	460	Comets	-	Senators	-
64 - 2026-11-20	470	Senators	-	Canucks	-
67 - 2026-11-23	485	Wild	-	Senators	-
68 - 2026-11-24	496	Senators	-	Bruins	-
71 - 2026-11-27	516	Canucks	-	Senators	-
72 - 2026-11-28	528	Senators	-	Moose	-
74 - 2026-11-30	539	Senators	-	Silver Knights	-
76 - 2026-12-02	550	Firebirds	-	Senators	-
78 - 2026-12-04	568	Senators	-	Gulls	-
80 - 2026-12-06	580	Monsters	-	Senators	-
82 - 2026-12-08	595	Comets	-	Senators	-
85 - 2026-12-11	615	Senators	-	Penguins	-
86 - 2026-12-12	626	Senators	-	Admirals	-
88 - 2026-12-14	636	Bruins	-	Senators	-
90 - 2026-12-16	651	Rocket	-	Senators	-
92 - 2026-12-18	669	Senators	-	Comets	-
94 - 2026-12-20	685	Roadrunners	-	Senators	-
95 - 2026-12-21	695	Senators	-	Americans	-
97 - 2026-12-23	713	Checkers	-	Senators	-
100 - 2026-12-26	731	Heat	-	Senators	-
102 - 2026-12-28	741	Senators	-	Condors	-
103 - 2026-12-29	757	Senators	-	Firebirds	-
105 - 2026-12-31	765	Phantoms	-	Senators	-
106 - 2027-01-01	779	Senators	-	Marlies	-
109 - 2027-01-04	796	Senators	-	Phantoms	-
110 - 2027-01-05	805	Penguins	-	Senators	-
114 - 2027-01-09	824	Admirals	-	Senators	-
116 - 2027-01-11	838	Senators	-	Wolves	-
117 - 2027-01-12	850	Senators	-	Phantoms	-
119 - 2027-01-14	864	Stars	-	Senators	-
121 - 2027-01-16	877	Americans	-	Senators	-
123 - 2027-01-18	895	Senators	-	Roadrunners	-
125 - 2027-01-20	904	Wolves	-	Senators	-
127 - 2027-01-22	919	Senators	-	Thunderbirds	-
129 - 2027-01-24	934	Senators	-	IceHogs	-
131 - 2027-01-26	944	Griffins	-	Senators	-
134 - 2027-01-29	964	Thunderbirds	-	Senators	-
136 - 2027-01-31	982	Senators	-	Rocket	-
138 - 2027-02-02	992	Griffins	-	Senators	-
139 - 2027-02-03	1003	Senators	-	Griffins	-
141 - 2027-02-05	1018	IceHogs	-	Senators	-
145 - 2027-02-09	1040	Marlies	-	Senators	-
146 - 2027-02-10	1049	Senators	-	Islanders	-
149 - 2027-02-13	1068	Gulls	-	Senators	-
150 - 2027-02-14	1073	Senators	-	Penguins	-
152 - 2027-02-16	1087	Senators	-	Islanders	-
155 - 2027-02-19	1102	Moose	-	Senators	-
156 - 2027-02-20	1114	Senators	-	Wolves	-
159 - 2027-02-23	1133	Moose	-	Senators	-
163 - 2027-02-27	1153	Bruins	-	Senators	-
164 - 2027-02-28	1161	Senators	-	Rocket	-
166 - 2027-03-02	1174	Senators	-	Griffins	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	45	30
Attendance	4,500	2,250
Attendance PCT	75.00%	75.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
38	2250 - 75.00%	112,500$	337,500$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
176,119$	1,341,900$	1,341,900$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	104,263$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
4,387,500$	155	14,023$	2,173,565$

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
2	78	38	31	0	2	4	2	1	246	213	33	39	18	15	0	1	3	1	1	124	113	11	39	20	16	0	1	1	1	0	122	100	22	89	246	430	676	0	8	0	89	88	65	2539	0	828	863	833	2192	671	399	1453	185	39	21.08%	162	25	84.57%	1	1379	2696	51.15%	1313	2469	53.18%	663	1280	51.80%	1918	1332	1754	574	1038	527
2	78	30	38	0	5	2	2	1	218	250	-32	39	16	14	0	4	2	2	1	114	113	1	39	14	24	0	1	0	0	0	104	137	-33	77	218	383	601	2	2	0	80	83	48	2284	0	802	701	754	2542	787	399	1545	160	34	21.25%	164	35	78.66%	4	1161	2521	46.05%	1197	2643	45.29%	565	1248	45.27%	1702	1148	1990	588	1025	490
3	82	39	33	0	5	3	1	1	304	241	63	41	20	14	0	4	2	1	0	155	110	45	41	19	19	0	1	1	0	1	149	131	18	94	304	548	852	2	2	0	106	91	101	2774	0	876	944	929	2408	696	384	1660	200	51	25.50%	169	27	84.02%	2	1480	2891	51.19%	1350	2601	51.90%	748	1366	54.76%	2045	1432	1827	585	1074	551
4	82	42	30	0	3	3	1	3	269	225	44	41	18	17	0	2	2	1	1	136	115	21	41	24	13	0	1	1	0	2	133	110	23	98	269	486	755	2	4	0	96	89	80	2879	0	914	976	961	2424	718	411	1501	155	27	17.42%	171	28	83.63%	0	1629	2938	55.45%	1463	2683	54.53%	729	1318	55.31%	2056	1466	1844	568	1057	532
2020	82	38	28	0	2	5	4	5	290	255	35	41	18	15	0	0	4	3	1	143	130	13	41	20	13	0	2	1	1	4	147	125	22	98	290	516	806	2	4	0	110	91	83	2990	0	994	969	983	2537	767	494	1839	286	68	23.78%	207	48	76.81%	4	1632	3115	52.39%	1467	2754	53.27%	661	1310	50.46%	2056	1443	1848	601	1070	543
2020	82	33	31	0	6	5	1	6	273	288	-15	41	17	12	0	4	3	1	4	145	133	12	41	16	19	0	2	2	0	2	128	155	-27	91	273	499	772	2	1	0	97	89	80	2800	0	930	943	893	2842	811	652	2094	281	64	22.78%	287	60	79.09%	1	1448	2991	48.41%	1522	3022	50.36%	676	1353	49.96%	1955	1334	1940	616	1074	533
2021	82	40	26	0	4	6	3	3	299	247	52	41	24	14	0	0	2	1	0	148	123	25	41	16	12	0	4	4	2	3	151	124	27	103	299	543	842	1	4	0	111	87	94	2675	0	914	873	861	2646	811	502	1877	289	59	20.42%	220	39	82.27%	4	1490	2910	51.20%	1487	2903	51.22%	682	1371	49.74%	1976	1369	1927	606	1063	530
2021	82	25	43	0	3	4	4	3	253	281	-28	41	17	18	0	0	2	3	1	137	126	11	41	8	25	0	3	2	1	2	116	155	-39	71	253	457	710	1	2	0	97	78	71	2726	0	903	871	920	2717	762	621	2006	260	48	18.46%	279	52	81.36%	6	1483	2978	49.80%	1459	2923	49.91%	662	1340	49.40%	1943	1317	1946	618	1079	540
2022	82	48	22	0	5	1	4	2	309	248	61	41	30	6	0	4	1	0	0	171	111	60	41	18	16	0	1	0	4	2	138	137	1	117	309	559	868	3	3	0	110	86	104	2908	0	932	1001	950	2712	808	564	1923	266	72	27.07%	240	48	80.00%	2	1523	3028	50.30%	1511	2953	51.17%	708	1359	52.10%	2012	1409	1901	595	1048	529
2022	82	30	34	0	7	6	2	3	277	292	-15	41	17	14	0	4	3	1	2	154	143	11	41	13	20	0	3	3	1	1	123	149	-26	87	277	508	785	3	1	0	108	82	78	2758	0	909	903	912	2699	759	577	1939	246	57	23.17%	248	59	76.21%	1	1453	2899	50.12%	1409	2844	49.54%	713	1368	52.12%	1930	1330	1965	612	1074	533
2023	82	47	25	0	5	3	0	2	377	295	82	41	27	11	0	2	1	0	0	195	135	60	41	20	14	0	3	2	0	2	182	160	22	109	377	700	1077	0	1	0	154	113	105	3365	0	1092	1136	1104	2876	841	775	2018	314	72	22.93%	326	85	73.93%	6	1918	3264	58.76%	1710	3042	56.21%	876	1492	58.71%	2082	1461	1825	587	1050	539
2023	82	37	35	0	3	2	3	2	315	322	-7	41	18	18	0	2	0	2	1	146	155	-9	41	19	17	0	1	2	1	1	169	167	2	90	315	562	877	1	0	0	125	99	85	3123	0	979	1076	1043	3325	956	998	2158	292	67	22.95%	443	106	76.07%	3	1661	3098	53.62%	1706	3314	51.48%	764	1424	53.65%	1982	1367	1934	595	1038	518
2024	82	33	33	0	3	9	2	2	289	297	-8	41	13	20	0	2	5	0	1	133	151	-18	41	20	13	0	1	4	2	1	156	146	10	87	289	515	804	2	3	0	99	108	77	2914	0	913	1009	966	3362	962	981	2181	308	65	21.10%	421	86	79.57%	6	1702	3092	55.05%	1822	3490	52.21%	717	1335	53.71%	1875	1261	2035	625	1051	512
2025	82	25	35	0	6	9	3	4	287	321	-34	41	14	17	0	4	5	1	0	138	145	-7	41	11	18	0	2	4	2	4	149	176	-27	81	287	506	793	1	0	0	105	87	86	3118	0	1025	953	1080	3242	973	877	2186	302	55	18.21%	380	77	79.74%	2	1678	3242	51.76%	1733	3333	52.00%	768	1415	54.28%	1873	1263	2048	628	1067	519
2026	6	3	2	0	0	1	0	0	21	18	3	3	2	1	0	0	0	0	0	12	9	3	3	1	1	0	0	1	0	0	9	9	0	7	21	41	62	0	0	6	8	7	0	219	68	79	72	0	256	73	58	136	30	8	26.67%	28	5	82.14%	0	121	241	50.21%	124	256	48.44%	46	97	47.42%	139	94	145	45	75	38
Total Regular Season	1146	508	446	0	59	63	32	38	4027	3793	234	573	269	206	0	33	35	17	13	2051	1812	239	573	239	240	0	26	28	15	25	1976	1981	-5	1299	4027	7253	11280	22	35	6	1495	1278	1157	40072	68	13090	13290	13189	38780	11395	8692	26516	3574	786	21.99%	3745	780	79.17%	42	21758	41904	51.92%	21273	41230	51.60%	9978	19076	52.31%	27549	19033	26936	8448	14890	7440
Playoff
2	7	3	4	0	0	0	0	0	17	22	-5	3	2	1	0	0	0	0	0	5	6	-1	4	1	3	0	0	0	0	0	12	16	-4	6	17	30	47	0	2	0	10	5	2	199	0	63	72	62	189	58	35	136	19	2	10.53%	13	3	76.92%	0	102	244	41.80%	107	223	47.98%	52	108	48.15%	160	107	168	53	94	46
3	12	5	7	0	0	0	0	0	37	43	-6	5	3	2	0	0	0	0	0	17	14	3	7	2	5	0	0	0	0	0	20	29	-9	10	37	66	103	0	0	0	14	10	12	363	0	120	107	129	417	122	60	262	27	3	11.11%	28	8	71.43%	0	203	396	51.26%	211	429	49.18%	80	192	41.67%	277	189	295	90	156	76
2020	4	0	4	0	0	0	0	0	10	16	-6	2	0	2	0	0	0	0	0	4	8	-4	2	0	2	0	0	0	0	0	6	8	-2	0	10	20	30	0	0	0	6	3	1	144	0	55	41	42	139	37	32	100	12	3	25.00%	16	3	81.25%	1	80	152	52.63%	82	140	58.57%	26	64	40.63%	106	74	94	30	53	27
2021	5	1	4	0	0	0	0	0	7	16	-9	2	1	1	0	0	0	0	0	3	4	-1	3	0	3	0	0	0	0	0	4	12	-8	2	7	13	20	0	0	0	1	3	3	144	0	57	41	45	147	53	33	106	11	1	9.09%	14	4	71.43%	0	74	165	44.85%	79	182	43.41%	32	71	45.07%	115	80	128	39	65	30
2022	21	16	5	0	0	0	0	0	84	55	29	11	7	4	0	0	0	0	0	40	29	11	10	9	1	0	0	0	0	0	44	26	18	32	84	155	239	1	1	0	27	31	25	790	0	258	252	263	674	195	149	506	54	17	31.48%	65	8	87.69%	1	441	835	52.81%	394	730	53.97%	196	352	55.68%	531	369	482	152	276	139
2022	6	2	4	0	0	0	0	0	23	28	-5	3	0	3	0	0	0	0	0	9	14	-5	3	2	1	0	0	0	0	0	14	14	0	4	23	42	65	1	0	0	9	9	4	201	0	70	58	45	234	68	68	175	16	3	18.75%	33	13	60.61%	0	118	211	55.92%	143	259	55.21%	76	133	57.14%	158	108	168	52	92	43
2023	4	0	4	0	0	0	0	0	12	20	-8	2	0	2	0	0	0	0	0	8	10	-2	2	0	2	0	0	0	0	0	4	10	-6	0	12	23	35	0	0	0	5	3	4	174	0	65	58	51	175	51	30	105	14	3	21.43%	13	3	76.92%	0	90	176	51.14%	103	168	61.31%	37	70	52.86%	92	62	96	28	51	26
2023	9	5	4	0	0	0	0	0	31	27	4	4	2	2	0	0	0	0	0	16	13	3	5	3	2	0	0	0	0	0	15	14	1	10	31	56	87	0	1	0	16	10	5	366	0	122	117	123	328	98	105	254	34	13	38.24%	47	7	85.11%	0	184	358	51.40%	166	371	44.74%	60	140	42.86%	213	144	214	69	115	56
2024	5	1	4	0	0	0	0	0	14	18	-4	2	1	1	0	0	0	0	0	5	5	0	3	0	3	0	0	0	0	0	9	13	-4	2	14	25	39	0	0	0	5	4	5	178	0	49	74	52	201	69	58	144	13	3	23.08%	27	7	74.07%	1	92	201	45.77%	94	226	41.59%	32	80	40.00%	108	71	130	39	64	30
Total Playoff	73	33	40	0	0	0	0	0	235	245	-10	34	16	18	0	0	0	0	0	107	103	4	39	17	22	0	0	0	0	0	128	142	-14	66	235	430	665	2	4	0	93	78	61	2559	0	859	820	812	2504	751	570	1788	200	48	24.00%	256	56	78.13%	3	1384	2738	50.55%	1379	2728	50.55%	591	1210	48.84%	1764	1208	1778	557	969	476