LSMH - LIGUE SIMULE DES MORDUS DE HOCKEY

Red Wings
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	Jesper Boqvist	X				99.00	80	35	94	72	76	81	89	64	73	62	61	66	63	70	72	64	75	67	0
2	Conor Sheary		X			98.00	60	36	90	67	64	90	84	66	72	68	63	65	64	79	76	23	75	66	0
3	Martin Chromiak			X		100.00	63	37	95	64	72	87	86	62	65	61	63	64	62	65	66	56	75	64	0
4	Viljami Marjala (R)	X				98.00	61	37	91	64	70	81	87	63	73	69	59	61	62	63	65	49	75	64	0
5	Nikita Grebenkin			X		100.00	72	42	74	64	82	77	81	62	65	61	58	59	60	63	65	56	75	63	0
6	Sam Poulin			X		99.00	73	40	79	63	84	83	86	58	55	62	59	61	63	65	67	79	75	63	0
7	Luke Tuch		X			100.00	76	43	70	59	85	74	81	57	52	54	56	58	57	64	66	70	75	61	0
8	Noel Gunler			X		100.00	67	40	76	60	76	80	84	57	55	58	61	56	62	65	67	71	75	61	0
9	Jan Mysak	X				100.00	58	37	87	61	67	86	83	58	63	60	59	56	61	64	66	70	75	60	0
10	Yegor Sidorov			X		100.00	62	38	87	60	71	88	84	59	61	58	60	57	59	62	64	66	75	60	0
11	Bryce McConnell-Barker (R)	X				100.00	67	39	87	58	76	72	86	56	60	54	57	55	59	62	64	63	75	58	0
12	Kevin Gravel				X	100.00	76	40	84	62	87	83	85	58	30	67	52	66	46	74	76	29	75	65	0
13	Cam Dineen				X	100.00	60	37	87	65	70	87	79	63	30	67	55	64	48	68	70	55	75	63	0
14	Cameron Crotty				X	100.00	73	41	77	60	86	79	82	58	30	63	52	62	46	67	69	55	75	62	0
15	Tobias Bjornfot				X	100.00	67	38	90	63	74	80	82	58	30	60	59	63	49	65	67	79	75	62	0
16	Cavan Fitzgerald				X	100.00	66	41	74	58	75	70	78	57	30	56	55	59	46	70	72	35	75	60	0
17	Guillaume Richard (R)				X	100.00	65	39	91	59	73	68	86	55	30	57	58	56	48	63	65	61	75	59	0
18	Ryan Johnson				X	99.00	65	39	79	58	76	79	84	57	30	55	52	59	48	65	67	75	75	59	0
Scratches
1	Fabian Wagner (R)	X				100.00	55	36	93	56	64	71	74	54	51	53	55	52	56	62	64	49	75	55	0
2	Josh Filmon (R)		X			100.00	60	37	88	54	69	64	67	52	50	51	53	55	52	62	64	49	75	55	0

	TEAM AVERAGE					99.65	66	39	85	61	75	79	82	59	50	60	57	60	56	66	68	58	75	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
1	Cayden Primeau	97.00	79	86	82	84	78	77	79	78	77	79	78	67	77	54	75	78	0
2	Nico Daws	100.00	76	88	84	87	75	74	76	75	74	76	75	66	75	61	75	75	0
Scratches
1	Jaxson Stauber (R)	100.00	75	83	79	78	74	73	75	74	73	75	74	67	77	53	75	74	0
2	Topias Leinonen (R)	100.00	62	74	70	98	61	60	62	61	60	62	61	62	67	74	75	65	0

	TEAM AVERAGE	99.25	73	83	79	87	72	71	73	72	71	73	72	66	74	61	75	73

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Blaine Forsythe	63	70	71	63	75	70	76	CAN	50	1	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	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	P/20	FL	FT	S1	S2	S3
1	Jesper Boqvist	Griffins (DET)	C	13	4	13	17	4	4	0	25	58	65	17	44	6.15%	7	306	23.57	1	4	5	14	46	0	1	1	1	25	0	0	56.04%	455	0	1.11	0	0	0	1	2
2	Martin Chromiak	Griffins (DET)	RW	13	10	5	15	-3	2	0	4	21	54	12	38	18.52%	4	230	17.74	2	2	4	10	48	0	0	0	0	0	2	0	40.00%	25	0	1.30	0	0	2	0	0
3	Conor Sheary	Griffins (DET)	LW	13	6	6	12	-3	2	0	9	53	71	9	32	8.45%	7	328	25.27	0	3	3	20	46	0	0	0	0	60	1	1	53.95%	291	1	0.73	0	0	1	1	2
4	Kevin Gravel	Griffins (DET)	D	13	3	8	11	5	10	0	34	14	23	5	8	13.04%	22	259	19.94	2	1	3	7	18	0	1	1	0	36	1	0	0.00%	0	0	0.85	0	0	2	0	0
5	Viljami Marjala	Griffins (DET)	C	13	4	5	9	6	0	0	6	43	44	16	29	9.09%	8	276	21.29	0	0	0	7	30	0	0	0	2	59	0	0	42.38%	151	0	0.65	0	0	0	0	0
6	Sam Poulin	Griffins (DET)	RW	13	3	6	9	-5	18	0	34	26	42	11	21	7.14%	2	290	22.33	3	1	4	9	46	0	0	0	0	29	0	0	48.39%	31	0	0.62	0	0	0	0	0
7	Cavan Fitzgerald	Griffins (DET)	D	13	1	7	8	2	10	0	14	9	8	2	7	12.50%	13	207	15.96	0	1	1	1	1	0	0	0	0	6	0	0	0.00%	1	0	0.77	0	0	0	0	0
8	Elmer Soderblom	Red Wings	LW	5	3	5	8	6	0	0	15	9	15	10	14	20.00%	2	98	19.65	0	2	2	3	16	0	0	0	0	3	1	0	42.86%	7	0	1.63	0	0	0	1	1
9	Ryan Johnson	Griffins (DET)	D	13	2	5	7	-4	6	0	18	12	11	6	6	18.18%	26	327	25.22	1	2	3	7	50	1	0	1	1	41	0	0	0.00%	0	0	0.43	0	0	0	0	1
10	Tobias Bjornfot	Griffins (DET)	D	13	1	5	6	-1	10	0	18	15	21	7	17	4.76%	19	236	18.19	0	1	1	7	28	0	0	0	0	47	1	0	0.00%	0	0	0.51	0	0	0	1	0
11	Nikita Grebenkin	Griffins (DET)	RW	13	2	3	5	-4	15	5	28	22	36	12	17	5.56%	2	220	16.95	0	1	1	4	45	0	0	0	0	0	0	0	59.57%	94	0	0.45	1	0	0	0	1
12	Luke Tuch	Griffins (DET)	LW	13	1	3	4	-5	13	5	40	9	16	5	15	6.25%	1	190	14.68	0	0	0	0	1	0	0	0	0	6	0	0	50.00%	8	0	0.42	0	1	0	1	0
13	Yegor Sidorov	Griffins (DET)	RW	13	1	3	4	-1	4	0	2	13	18	6	15	5.56%	3	100	7.71	0	0	0	0	0	0	0	0	0	0	0	0	40.87%	115	0	0.80	0	0	0	0	0
14	Cam Dineen	Griffins (DET)	D	9	0	3	3	2	2	0	2	2	5	4	3	0.00%	2	57	6.34	0	1	1	4	5	0	0	0	0	13	0	0	0.00%	0	0	1.05	0	0	0	0	0
15	Guillaume Richard	Griffins (DET)	D	13	0	3	3	-1	8	0	20	3	9	3	10	0.00%	7	198	15.23	0	0	0	3	41	0	0	0	0	1	0	0	0.00%	0	0	0.30	0	0	0	0	0
16	Cameron Crotty	Griffins (DET)	D	13	2	0	2	-7	18	0	32	15	23	5	12	8.70%	21	276	21.27	1	0	1	12	41	0	0	0	0	45	0	0	0.00%	0	0	0.14	0	0	0	0	0
17	Jan Mysak	Griffins (DET)	C	8	0	2	2	-2	0	0	0	11	11	1	5	0.00%	0	63	7.92	0	0	0	0	0	0	0	0	0	0	0	0	56.82%	88	0	0.63	0	0	0	0	0
18	Bryce McConnell-Barker	Griffins (DET)	C	12	0	1	1	0	4	0	0	0	0	0	2	0.00%	0	22	1.88	0	0	0	0	1	0	0	0	0	5	0	0	66.67%	9	0	0.89	0	0	0	0	0
19	Noel Gunler	Griffins (DET)	RW	13	1	0	1	1	4	0	8	4	11	2	6	9.09%	0	109	8.46	0	0	0	0	0	0	0	0	0	0	0	0	44.44%	9	0	0.18	0	0	0	0	0
20	Fabian Wagner	Griffins (DET)	C	5	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.15	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0	0	0	0
Team Total or Average				234	44	83	127	-10	130	10	309	339	483	133	301	9.11%	146	3801	16.25	10	19	29	108	471	1	2	3	4	383	6	1	52.26%	1284	1	0.67	1	1	5	5	7

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	PCT	GAA	MP	SO	GA	SA	A	ST	BG	S1	S2
1	Cayden Primeau	Griffins (DET)	12	5	5	0.912	3.66	656	1	40	457	1	11	2	1	1
2	Nico Daws	Griffins (DET)	3	1	2	0.870	4.80	125	0	10	77	0	2	11	0	0
Team Total or Average			15	6	7	0.906	3.84	781	1	50	534	1	13	13	1	1

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
Bryce McConnell-Barker	C	23	2004-06-04	Yes	191 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Cam Dineen	D	29	1998-06-19	No	188 Lbs	5 ft11	No	No	Yes	2	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Cameron Crotty	D	28	1999-05-05	No	213 Lbs	6 ft3	No	No	No	2	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Cavan Fitzgerald	D	30	1996-08-23	No	190 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Cayden Primeau	G	27	1999-08-11	No	205 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	890,000$	0$	0$	No	Link / NHL Link
Conor Sheary	LW	35	1992-06-08	No	180 Lbs	5 ft8	No	No	Yes	2	UFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Fabian Wagner	C	23	2004-05-07	Yes	170 Lbs	5 ft10	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Guillaume Richard	D	24	2003-02-10	Yes	170 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Jan Mysak	C	25	2002-06-04	No	175 Lbs	5 ft11	No	No	No	2	ELC	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Jaxson Stauber	G	28	1999-04-27	Yes	174 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	884,000$	0$	0$	No	Link / NHL Link
Jesper Boqvist	C	28	1998-10-30	No	191 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Josh Filmon	LW	23	2004-03-18	Yes	158 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Kevin Gravel	D	35	1992-03-06	No	205 Lbs	6 ft4	No	No	Yes	2	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Luke Tuch	LW	25	2002-03-07	No	209 Lbs	6 ft3	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Martin Chromiak	RW	24	2002-08-20	No	187 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Nico Daws	G	26	2000-12-22	No	205 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Nikita Grebenkin	RW	24	2003-05-02	No	210 Lbs	6 ft2	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Noel Gunler	RW	25	2001-10-07	No	176 Lbs	6 ft2	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Ryan Johnson	D	25	2001-07-24	No	195 Lbs	6 ft1	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Sam Poulin	RW	26	2001-02-25	No	217 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Tobias Bjornfot	D	26	2001-04-06	No	200 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Topias Leinonen	G	23	2004-01-25	Yes	234 Lbs	6 ft6	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Viljami Marjala	C	24	2003-01-29	Yes	178 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Yegor Sidorov	RW	23	2004-06-18	No	184 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	26.21	192 Lbs	6 ft1	1.96	892,667$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Noel Gunler	Jesper Boqvist	Viljami Marjala	35	1	2	2
2	Nikita Grebenkin	Conor Sheary	Sam Poulin	30	1	2	2
3	Martin Chromiak	Yegor Sidorov	Luke Tuch	20	1	2	2
4	Conor Sheary	Jesper Boqvist	Sam Poulin	15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cameron Crotty	Ryan Johnson	35	1	2	2
2	Kevin Gravel	Cavan Fitzgerald	30	1	2	2
3	Guillaume Richard	Tobias Bjornfot	20	1	2	2
4	Cam Dineen	Ryan Johnson	15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Viljami Marjala	Jesper Boqvist	Martin Chromiak	60	1	2	2
2	Conor Sheary	Nikita Grebenkin	Sam Poulin	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Tobias Bjornfot	Ryan Johnson	60	1	2	2
2	Cameron Crotty	Guillaume Richard	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Viljami Marjala	Conor Sheary	60	1	2	2
2	Jesper Boqvist	Sam Poulin	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cameron Crotty	Tobias Bjornfot	60	1	2	2
2	Kevin Gravel	Ryan Johnson	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Jesper Boqvist	60	1	2	2	Kevin Gravel	Ryan Johnson	60	1	2	2
2	Sam Poulin	40	1	2	2	Tobias Bjornfot	Cameron Crotty	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Conor Sheary	Sam Poulin	60	1	2	2
2	Jesper Boqvist	Luke Tuch	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cameron Crotty	Ryan Johnson	60	1	2	2
2	Guillaume Richard	Tobias Bjornfot	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Sam Poulin	Jesper Boqvist	Conor Sheary	Kevin Gravel	Cameron Crotty

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Sam Poulin	Jesper Boqvist	Conor Sheary	Kevin Gravel	Cameron Crotty

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jesper Boqvist, Conor Sheary, Sam Poulin	Sam Poulin, Jesper Boqvist	Sam Poulin

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Tobias Bjornfot, Ryan Johnson, Cameron Crotty	Ryan Johnson	Ryan Johnson, Cameron Crotty

Penalty Shots
Conor Sheary, Viljami Marjala, Martin Chromiak, Sam Poulin, Jesper Boqvist

Goalie
#1 : Nico Daws, #2 : Cayden Primeau

Custom OT Lines Forwards
Bryce McConnell-Barker, Jesper Boqvist, Martin Chromiak, Conor Sheary, Nikita Grebenkin, Viljami Marjala, Viljami Marjala, Luke Tuch, Sam Poulin, Yegor Sidorov, Noel Gunler

Custom OT Lines Defensemen
Tobias Bjornfot, Ryan Johnson, Kevin Gravel, Guillaume Richard, Cameron Crotty

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
13	12	L1	44	83	127	483	534	146	130	309	0	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
13	4	7	2	0	0	0	44	50

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	2	3	1	0	0	0	17	17

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	2	4	1	0	0	0	27	33

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	6	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
55	10	18.18%	56	15	73.21%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
131	171	177	4	16	13	13	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
277	513	54.00%	285	561	50.80%	109	203	53.69%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
302	208	315	96	164	81

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
1 - 2026-09-18	5	Griffins	6	Rocket	4	W		BoxScore
3 - 2026-09-20	19	Marlies	0	Griffins	4	W		BoxScore
5 - 2026-09-22	34	Bruins	5	Griffins	2	L		BoxScore
6 - 2026-09-23	42	Griffins	5	Marlies	7	L		BoxScore
9 - 2026-09-26	64	Senators	4	Griffins	5	W		BoxScore
10 - 2026-09-27	74	Griffins	3	Phantoms	2	W		BoxScore
13 - 2026-09-30	92	Marlies	3	Griffins	1	L		BoxScore
15 - 2026-10-02	111	Americans	3	Griffins	2	L		BoxScore
17 - 2026-10-04	124	Griffins	1	Americans	5	L		BoxScore
19 - 2026-10-06	139	Griffins	3	Moose	4	L		BoxScore
20 - 2026-10-07	145	Griffins	5	Bruins	4	W	X	BoxScore
22 - 2026-10-09	158	Checkers	2	Griffins	3	W	X	BoxScore
24 - 2026-10-11	176	Griffins	4	Checkers	7	L		BoxScore
26 - 2026-10-13	187	Checkers	-	Griffins	-
27 - 2026-10-14	202	Bruins	-	Griffins	-
29 - 2026-10-16	218	Griffins	-	Monsters	-
32 - 2026-10-19	230	Griffins	-	Marlies	-
33 - 2026-10-20	241	Griffins	-	Checkers	-
35 - 2026-10-22	251	Americans	-	Griffins	-
37 - 2026-10-24	269	Griffins	-	Bruins	-
39 - 2026-10-26	283	IceHogs	-	Griffins	-
40 - 2026-10-27	296	Stars	-	Griffins	-
43 - 2026-10-30	315	Griffins	-	Roadrunners	-
44 - 2026-10-31	324	Americans	-	Griffins	-
47 - 2026-11-03	344	Admirals	-	Griffins	-
49 - 2026-11-05	357	Griffins	-	Gulls	-
50 - 2026-11-06	366	Griffins	-	IceHogs	-
52 - 2026-11-08	383	Griffins	-	Wild	-
54 - 2026-11-10	393	Eagles	-	Griffins	-
56 - 2026-11-12	407	Phantoms	-	Griffins	-
58 - 2026-11-14	425	Griffins	-	Phantoms	-
59 - 2026-11-15	436	Roadrunners	-	Griffins	-
61 - 2026-11-17	450	Griffins	-	Eagles	-
63 - 2026-11-19	464	Griffins	-	Stars	-
65 - 2026-11-21	475	Heat	-	Griffins	-
68 - 2026-11-24	494	Firebirds	-	Griffins	-
69 - 2026-11-25	504	Griffins	-	Heat	-
71 - 2026-11-27	519	Griffins	-	Islanders	-
73 - 2026-11-29	529	Wild	-	Griffins	-
76 - 2026-12-02	549	Penguins	-	Griffins	-
78 - 2026-12-04	563	Griffins	-	Condors	-
80 - 2026-12-06	578	Checkers	-	Griffins	-
81 - 2026-12-07	588	Griffins	-	Wolves	-
83 - 2026-12-09	604	Condors	-	Griffins	-
86 - 2026-12-12	620	Griffins	-	Firebirds	-
87 - 2026-12-13	632	Thunderbirds	-	Griffins	-
89 - 2026-12-15	649	Barracuda	-	Griffins	-
91 - 2026-12-17	664	Griffins	-	Monsters	-
92 - 2026-12-18	675	Griffins	-	Wolves	-
94 - 2026-12-20	688	Comets	-	Griffins	-
95 - 2026-12-21	699	Griffins	-	Canucks	-
98 - 2026-12-24	716	Griffins	-	Comets	-
99 - 2026-12-25	724	Moose	-	Griffins	-
102 - 2026-12-28	742	Griffins	-	Islanders	-
103 - 2026-12-29	752	Gulls	-	Griffins	-
105 - 2026-12-31	770	Griffins	-	Thunderbirds	-
106 - 2027-01-01	781	Wolves	-	Griffins	-
109 - 2027-01-04	797	Griffins	-	Marlies	-
111 - 2027-01-06	810	Wolves	-	Griffins	-
114 - 2027-01-09	827	Canucks	-	Griffins	-
116 - 2027-01-11	845	Monsters	-	Griffins	-
117 - 2027-01-12	851	Griffins	-	Gulls	-
119 - 2027-01-14	867	Griffins	-	Moose	-
121 - 2027-01-16	882	Griffins	-	Rocket	-
123 - 2027-01-18	892	Bruins	-	Griffins	-
124 - 2027-01-19	898	Griffins	-	Silver Knights	-
127 - 2027-01-22	920	Griffins	-	Admirals	-
128 - 2027-01-23	924	Silver Knights	-	Griffins	-
131 - 2027-01-26	944	Griffins	-	Senators	-
132 - 2027-01-27	952	Islanders	-	Griffins	-
135 - 2027-01-30	972	Rocket	-	Griffins	-
138 - 2027-02-02	992	Griffins	-	Senators	-
139 - 2027-02-03	1003	Senators	-	Griffins	-
141 - 2027-02-05	1017	Griffins	-	Penguins	-
144 - 2027-02-08	1031	Marlies	-	Griffins	-
146 - 2027-02-10	1046	Griffins	-	Penguins	-
148 - 2027-02-12	1056	Griffins	-	Barracuda	-
149 - 2027-02-13	1063	Marlies	-	Griffins	-
151 - 2027-02-15	1084	Rocket	-	Griffins	-
155 - 2027-02-19	1103	Griffins	-	Americans	-
156 - 2027-02-20	1113	Griffins	-	Rocket	-
157 - 2027-02-21	1120	Comets	-	Griffins	-
162 - 2027-02-26	1148	Monsters	-	Griffins	-
166 - 2027-03-02	1174	Senators	-	Griffins	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	11,715	5,912
Attendance PCT	97.63%	98.53%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
35	2938 - 97.93%	103,897$	623,381$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
300,807$	1,071,200$	1,071,200$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	157,095$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
3,740,286$	143	12,402$	1,773,486$

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	24	43	0	3	5	1	2	203	297	-94	39	11	22	0	2	2	1	1	104	148	-44	39	13	21	0	1	3	0	1	99	149	-50	63	203	356	559	1	3	0	75	68	56	2355	0	814	742	768	2591	784	363	1536	148	20	13.51%	160	35	78.13%	1	1131	2498	45.28%	1158	2613	44.32%	555	1245	44.58%	1752	1200	1942	576	1023	492
2	78	32	34	0	3	5	2	2	227	225	2	39	20	14	0	2	1	1	1	130	108	22	39	12	20	0	1	4	1	1	97	117	-20	81	227	406	633	2	5	0	76	81	65	2439	0	794	807	820	2286	645	425	1488	196	31	15.82%	183	42	77.05%	0	1363	2665	51.14%	1342	2598	51.66%	666	1261	52.82%	1863	1278	1809	580	1040	520
3	82	42	22	0	6	3	4	5	277	216	61	41	19	12	0	3	2	2	3	136	109	27	41	23	10	0	3	1	2	2	141	107	34	112	277	488	765	2	6	0	96	87	84	2591	0	835	847	868	2442	719	429	1705	193	40	20.73%	173	35	79.77%	1	1418	2762	51.34%	1403	2741	51.19%	695	1300	53.46%	1967	1349	1917	606	1091	552
4	82	37	32	0	3	5	2	3	240	245	-5	41	20	17	0	0	3	1	0	123	115	8	41	17	15	0	3	2	1	3	117	130	-13	92	240	427	667	0	4	0	97	68	70	2429	0	802	782	817	2751	809	360	1541	177	38	21.47%	152	31	79.61%	0	1270	2656	47.82%	1340	2893	46.32%	601	1265	47.51%	1903	1324	2007	589	1050	519
2020	82	28	36	0	3	5	5	5	266	297	-31	41	15	21	0	2	1	1	1	140	154	-14	41	13	15	0	1	4	4	4	126	143	-17	82	266	477	743	3	4	0	95	94	69	2649	0	875	906	839	2832	771	538	1851	271	45	16.61%	221	43	80.54%	3	1441	2895	49.78%	1475	2946	50.07%	702	1363	51.50%	1953	1344	1958	621	1070	533
2020	82	37	30	0	4	8	1	2	304	273	31	41	21	16	0	0	3	0	1	152	139	13	41	16	14	0	4	5	1	1	152	134	18	94	304	548	852	2	3	0	103	100	96	2876	0	909	962	973	2824	820	605	1989	253	58	22.92%	263	40	84.79%	4	1574	2987	52.70%	1571	3051	51.49%	730	1386	52.67%	1902	1297	1987	620	1072	523
2021	82	29	39	0	9	1	1	3	243	266	-23	41	16	20	0	5	0	0	0	115	126	-11	41	13	19	0	4	1	1	3	128	140	-12	82	243	445	688	3	2	0	101	72	60	2348	0	768	745	785	2686	763	556	1908	260	57	21.92%	249	52	79.12%	0	1335	2681	49.79%	1427	2916	48.94%	668	1321	50.57%	1926	1310	1956	611	1079	536
2021	82	36	26	0	4	6	5	5	287	261	26	41	20	11	0	3	2	3	2	153	125	28	41	16	15	0	1	4	2	3	134	136	-2	101	287	520	807	1	3	0	105	97	76	2700	0	890	891	877	2777	773	692	2025	269	61	22.68%	279	51	81.72%	2	1486	2920	50.89%	1558	3019	51.61%	693	1359	50.99%	1995	1367	1928	607	1068	539
2022	82	29	36	0	7	3	4	3	279	261	18	41	16	14	0	4	2	2	3	150	129	21	41	13	22	0	3	1	2	0	129	132	-3	86	279	512	791	1	3	0	96	98	74	2684	0	876	912	864	2834	806	693	2033	258	59	22.87%	306	54	82.35%	3	1445	2872	50.31%	1530	3083	49.63%	703	1343	52.35%	1904	1291	1991	621	1077	528
2022	82	26	43	0	5	3	3	2	251	293	-42	41	14	17	0	4	2	3	1	133	137	-4	41	12	26	0	1	1	0	1	118	156	-38	73	251	454	705	0	3	0	101	74	68	2588	0	836	879	843	2877	817	659	2094	246	51	20.73%	284	72	74.65%	1	1357	2875	47.20%	1415	2998	47.20%	618	1338	46.19%	1927	1318	1975	602	1057	521
2023	82	37	31	0	6	6	1	1	394	356	38	41	22	12	0	1	4	1	1	207	169	38	41	15	19	0	5	2	0	0	187	187	0	95	394	707	1101	2	0	0	159	124	104	3483	0	1160	1136	1160	3099	906	947	2273	301	80	26.58%	399	98	75.44%	5	1723	3220	53.51%	1566	3006	52.10%	801	1542	51.95%	2040	1429	1869	594	1042	523
2023	82	22	48	0	8	3	1	0	315	434	-119	41	12	22	0	4	2	1	0	168	213	-45	41	10	26	0	4	1	0	0	147	221	-74	65	315	543	858	3	0	0	132	89	85	3149	0	1009	1030	1084	4001	1203	677	2091	275	62	22.55%	315	91	71.11%	2	1278	2972	43.00%	1324	3336	39.69%	597	1483	40.26%	1782	1235	2176	594	991	473
2024	82	39	31	0	5	2	2	3	362	309	53	41	22	16	0	2	1	0	0	181	151	30	41	17	15	0	3	1	2	3	181	158	23	97	362	647	1009	3	1	0	133	102	120	3453	0	1085	1213	1133	3149	941	693	2121	347	82	23.63%	296	66	77.70%	5	1662	3409	48.75%	1581	3178	49.75%	690	1462	47.20%	1981	1374	1938	600	1041	518
2025	82	37	30	0	5	6	3	1	290	279	11	41	20	12	0	4	4	0	1	144	140	4	41	17	18	0	1	2	3	0	146	139	7	97	290	511	801	3	2	0	92	112	78	2935	0	901	1014	979	2930	892	753	2033	340	84	24.71%	324	72	77.78%	3	1603	3110	51.54%	1549	3097	50.02%	679	1376	49.35%	1999	1379	1923	604	1047	526
2026	13	4	7	0	2	0	0	0	44	50	-6	6	2	3	0	1	0	0	0	17	17	0	7	2	4	0	1	0	0	0	27	33	-6	12	44	83	127	0	1	16	13	13	2	483	131	171	177	4	534	146	130	309	55	10	18.18%	56	15	73.21%	1	277	513	54.00%	285	561	50.80%	109	203	53.69%	302	208	315	96	164	81
Total Regular Season	1153	459	488	0	73	61	35	37	3982	4062	-80	576	250	229	0	37	29	16	15	2053	1980	73	577	209	259	0	36	32	19	22	1929	2082	-153	1232	3982	7124	11106	26	40	16	1474	1279	1107	39162	131	12725	13043	12814	40613	11795	8520	26997	3589	778	21.68%	3660	797	78.22%	31	20363	41035	49.62%	20524	42036	48.82%	9507	19247	49.39%	27205	18710	27700	8528	14918	7389
Playoff
3	5	1	4	0	0	0	0	0	10	12	-2	3	0	3	0	0	0	0	0	4	9	-5	2	1	1	0	0	0	0	0	6	3	3	2	10	18	28	1	1	0	4	3	3	148	0	49	44	55	129	31	25	86	23	3	13.04%	5	2	60.00%	0	68	165	41.21%	68	159	42.77%	28	74	37.84%	114	77	120	39	65	33
4	7	3	4	0	0	0	0	0	19	22	-3	3	2	1	0	0	0	0	0	10	8	2	4	1	3	0	0	0	0	0	9	14	-5	6	19	35	54	0	0	0	7	3	7	206	0	57	84	51	261	91	34	134	9	2	22.22%	16	3	81.25%	0	100	226	44.25%	158	276	57.25%	51	114	44.74%	164	110	194	56	95	45
2020	4	0	4	0	0	0	0	0	7	16	-9	2	0	2	0	0	0	0	0	1	7	-6	2	0	2	0	0	0	0	0	6	9	-3	0	7	14	21	0	0	0	3	3	1	132	0	40	37	43	167	48	28	117	11	2	18.18%	14	3	78.57%	0	67	144	46.53%	84	176	47.73%	36	72	50.00%	93	61	123	35	63	29
2021	18	9	9	0	0	0	0	0	63	66	-3	9	5	4	0	0	0	0	0	36	31	5	9	4	5	0	0	0	0	0	27	35	-8	18	63	120	183	1	1	0	22	15	25	616	0	220	162	231	575	159	142	435	68	13	19.12%	61	14	77.05%	1	328	673	48.74%	321	617	52.03%	161	305	52.79%	445	308	405	130	237	120
2022	5	1	4	0	0	0	0	0	15	22	-7	2	0	2	0	0	0	0	0	4	9	-5	3	1	2	0	0	0	0	0	11	13	-2	2	15	28	43	0	0	0	6	8	1	160	0	44	58	58	163	54	76	140	23	5	21.74%	22	7	68.18%	0	86	168	51.19%	89	192	46.35%	49	94	52.13%	114	77	123	38	64	31
2023	6	2	4	0	0	0	0	0	25	32	-7	3	1	2	0	0	0	0	0	11	18	-7	3	1	2	0	0	0	0	0	14	14	0	4	25	43	68	0	0	0	8	3	14	243	0	87	55	94	260	83	96	194	20	7	35.00%	36	10	72.22%	0	136	261	52.11%	125	266	46.99%	60	109	55.05%	149	100	159	46	78	39
2024	10	5	5	0	0	0	0	0	30	33	-3	4	3	1	0	0	0	0	0	15	10	5	6	2	4	0	0	0	0	0	15	23	-8	10	30	53	83	0	1	0	8	8	14	322	0	79	109	121	410	133	92	259	34	7	20.59%	44	10	77.27%	1	160	344	46.51%	223	437	51.03%	79	170	46.47%	223	148	267	80	131	63
2025	5	1	4	0	0	0	0	0	12	22	-10	2	1	1	0	0	0	0	0	5	9	-4	3	0	3	0	0	0	0	0	7	13	-6	2	12	23	35	1	0	0	6	5	0	159	0	54	52	49	196	76	44	117	15	1	6.67%	22	3	86.36%	0	96	171	56.14%	102	211	48.34%	38	78	48.72%	113	77	132	38	63	30
Total Playoff	60	22	38	0	0	0	0	0	181	225	-44	28	12	16	0	0	0	0	0	86	101	-15	32	10	22	0	0	0	0	0	95	124	-29	44	181	334	515	3	3	0	64	48	65	1986	0	630	601	702	2161	675	537	1482	203	40	19.70%	220	52	76.36%	2	1041	2152	48.37%	1170	2334	50.13%	502	1016	49.41%	1417	960	1527	466	800	393