LSMH - LIGUE SIMULE DES MORDUS DE HOCKEY

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1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
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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				97.00	76	37	94	68	75	80	90	66	71	63	64	67	69	70	71	65	75	67	0
2	Conor Sheary		X			96.00	59	36	90	69	65	89	83	67	71	68	62	65	64	77	75	26	75	66	0
3	Egor Sokolov		X			98.34	79	40	81	64	88	85	87	63	58	60	62	61	63	65	67	64	75	65	0
4	Kieffer Bellows		X			99.00	75	40	73	64	76	87	81	63	65	61	64	60	63	67	68	71	75	65	0
5	Sam Poulin			X		98.00	75	40	78	62	86	82	80	64	65	61	62	63	67	64	66	80	75	65	0
6	Tim Gettinger		X			99.00	87	51	90	58	96	77	80	59	56	58	57	62	59	67	69	47	75	64	0
7	Axel Jonsson-Fjallby		X			98.56	70	37	93	64	75	79	85	62	58	60	59	61	63	67	69	52	75	63	0
8	Nikita Grebenkin			X		100.00	72	41	75	64	82	75	70	63	57	60	58	56	61	63	64	57	75	63	0
9	Jan Mysak	X				100.00	57	36	90	60	67	85	84	58	65	60	59	61	58	63	65	72	75	60	0
10	Martin Chromiak			X		100.00	63	37	90	61	72	84	86	58	62	60	59	57	61	63	65	57	75	60	0
11	Luke Tuch (R)		X			100.00	76	41	73	58	85	75	68	56	52	55	54	59	56	63	65	72	75	60	0
12	Noel Gunler (R)			X		100.00	67	40	79	57	76	79	70	56	61	59	58	55	57	64	66	72	75	60	0
13	Dylan McIlrath				X	100.00	86	82	60	62	97	76	74	59	30	66	58	65	49	73	75	51	75	67	0
14	Caleb Jones				X	100.00	72	38	86	65	76	79	76	63	30	70	58	62	50	69	70	49	75	65	0
15	Gustav Lindstrom				X	100.00	72	39	81	64	79	82	77	62	30	67	60	63	51	67	69	64	75	65	0
16	Ryan Johnson				X	99.00	64	37	87	65	76	81	86	64	30	66	58	62	50	64	66	76	75	64	0
17	Tobias Bjornfot				X	100.00	68	38	87	60	74	79	75	59	30	58	55	61	50	64	66	80	75	61	0
Scratches
1	Elmer Soderblom		X			82.03	85	52	89	65	99	84	83	63	59	64	61	62	58	64	65	48	75	67	0
2	Yegor Sidorov (R)			X		80.42	62	37	91	61	71	93	70	60	63	59	61	57	62	63	61	64	75	61	0
3	Bryce McConnell-Barker (R)	X				100.00	67	39	84	57	76	67	72	56	59	54	55	58	54	61	63	65	75	58	0
4	Fabian Wagner (R)	X				100.00	55	36	91	56	64	73	68	54	61	53	57	52	56	61	63	49	75	56	0
5	Josh Filmon (R)		X			100.00	59	36	94	53	69	63	61	52	55	51	50	54	53	61	63	49	75	54	0
6	Oliver Kylington				X	89.40	63	34	86	67	71	86	69	66	30	72	63	65	55	69	68	56	75	67	0
7	Kevin Gravel				X	96.88	76	39	89	61	87	83	84	59	30	64	56	63	49	73	75	32	75	64	0

	TEAM AVERAGE					97.13	70	41	85	62	78	80	77	61	52	61	59	60	57	66	67	59	75	63

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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	96.00	82	82	78	84	81	80	82	81	80	82	81	66	75	56	75	80	0
2	Nico Daws	100.00	80	84	80	87	79	78	80	79	78	80	79	65	73	62	75	79	0
Scratches
1	Jakub Dobes	100.00	78	87	83	89	77	76	78	77	76	78	77	64	71	55	75	77	0
2	Jaxson Stauber	100.00	75	82	78	78	74	73	75	74	73	75	74	66	75	55	75	74	0
3	Sergei Murashov (R)	100.00	74	75	71	75	73	72	74	73	72	74	73	61	65	60	75	73	0

	TEAM AVERAGE	99.20	78	82	78	83	77	76	78	77	76	78	77	64	72	58	75	77

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Ian Laperriere	75	68	66	61	79	74	74	CAN	51	2	1,000,000$

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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	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Conor Sheary	Griffins (DET)	LW	78	34	48	82	1	10	0	29	236	304	126	231	11.18%	29	1777	22.79	12	18	30	68	238	1	0	1	8	296	9	1	52.87%	974	0	0.92	1	1	0	0	0	3	6	6
2	Jesper Boqvist	Griffins (DET)	C	78	19	44	63	11	36	0	101	230	317	83	222	5.99%	22	1708	21.91	3	19	22	58	256	0	1	1	1	136	2	1	53.86%	1762	0	0.74	0	0	0	0	0	1	5	3
3	Sam Poulin	Griffins (DET)	RW	78	33	30	63	9	69	5	208	99	245	57	157	13.47%	18	1487	19.07	10	12	22	67	240	0	0	0	1	17	4	4	48.97%	194	1	0.85	0	0	1	0	0	6	4	1
4	Ryan Johnson	Griffins (DET)	D	78	10	43	53	8	26	0	81	98	110	47	70	9.09%	115	1704	21.85	4	9	13	40	147	0	0	0	1	114	0	1	0.00%	0	0	0.62	0	0	0	0	0	2	1	1
5	Oliver Kylington	Griffins (DET)	D	74	15	37	52	-12	10	0	36	115	111	48	73	13.51%	89	1484	20.06	11	12	23	61	173	0	0	0	1	211	3	2	0.00%	0	0	0.70	0	0	0	0	0	3	3	1
6	Will Smith	Red Wings	C/RW	45	26	22	48	-12	2	0	8	116	237	75	158	10.97%	11	1042	23.18	5	5	10	30	99	1	1	2	4	130	5	1	48.04%	102	0	0.92	0	0	0	0	0	5	2	2
7	Gustav Lindstrom	Griffins (DET)	D	78	10	33	43	-3	62	10	112	74	97	35	74	10.31%	76	1316	16.87	5	9	14	45	187	0	0	0	1	103	4	1	0.00%	0	0	0.65	0	0	0	1	1	0	5	0
8	Dylan McIlrath	Griffins (DET)	D	72	11	31	42	-9	109	5	251	59	104	17	61	10.58%	114	1404	19.51	8	13	21	56	185	0	1	1	0	167	1	0	0.00%	0	0	0.60	0	0	1	0	0	0	1	0
9	Elmer Soderblom	Griffins (DET)	LW	72	14	27	41	-13	63	5	191	143	222	70	163	6.31%	20	1568	21.78	4	9	13	32	214	1	0	1	3	98	1	1	47.51%	964	0	0.52	0	3	1	0	0	2	1	1
10	Kieffer Bellows	Griffins (DET)	LW	78	20	21	41	-13	49	5	158	116	200	49	165	10.00%	14	1378	17.67	2	11	13	33	170	0	0	0	2	125	2	3	49.88%	433	0	0.59	1	3	0	0	1	0	4	3
11	Kevin Gravel	Griffins (DET)	D	72	11	26	37	3	90	10	223	89	118	34	85	9.32%	159	1755	24.38	7	5	12	64	244	0	1	1	1	212	2	0	0.00%	0	0	0.42	0	0	0	0	2	2	1	3
12	Egor Sokolov	Griffins (DET)	LW	76	18	18	36	-13	34	0	135	143	183	55	110	9.84%	11	1203	15.83	1	1	2	7	30	0	0	0	0	1	2	1	46.86%	1161	0	0.60	0	0	0	0	0	1	1	6
13	Tim Gettinger	Griffins (DET)	LW	75	15	17	32	-3	62	0	136	114	130	37	83	11.54%	13	1180	15.74	0	0	0	1	7	0	0	0	0	0	3	1	48.60%	860	0	0.54	0	0	0	0	0	0	2	2
14	Caleb Jones	Griffins (DET)	D	73	7	24	31	-3	44	0	110	75	78	19	55	8.97%	104	1234	16.90	2	5	7	19	70	0	0	0	1	206	0	0	0.00%	0	0	0.50	0	0	0	0	0	1	1	0
15	Axel Jonsson-Fjallby	Griffins (DET)	LW	78	9	21	30	3	6	0	22	55	88	24	66	10.23%	4	581	7.45	4	9	13	19	100	0	0	0	5	83	2	0	52.99%	234	0	1.03	1	4	0	0	0	3	0	2
16	Nikita Grebenkin	Griffins (DET)	RW	78	8	9	17	3	15	5	52	40	61	22	64	13.11%	5	572	7.34	0	1	1	0	1	0	0	0	0	0	0	2	44.23%	52	1	0.59	0	0	0	0	1	0	1	1
17	Oliver Kapanen	Red Wings	C	17	6	11	17	5	2	0	8	48	60	15	38	10.00%	11	308	18.12	1	1	2	15	40	0	0	0	1	29	2	0	50.00%	302	0	1.10	0	3	0	0	0	0	1	1
18	Tobias Bjornfot	Griffins (DET)	D	78	2	4	6	-1	16	0	29	28	23	10	16	8.70%	31	505	6.48	0	0	0	0	1	0	0	0	0	2	0	0	0.00%	0	0	0.24	0	0	0	0	0	0	0	0
19	Jan Mysak	Griffins (DET)	C	33	0	4	4	3	0	0	0	9	13	6	11	0.00%	2	114	3.46	0	0	0	1	9	0	0	0	1	25	0	0	50.39%	127	0	0.70	0	0	0	0	0	0	0	0
20	Yegor Sidorov	Griffins (DET)	RW	37	1	0	1	2	0	0	3	14	12	6	6	8.33%	0	85	2.31	0	0	0	0	0	0	0	0	0	0	0	0	45.45%	110	0	0.23	0	0	0	0	0	0	0	0
21	Martin Chromiak	Griffins (DET)	RW	14	0	0	0	0	0	0	0	0	0	1	1	0.00%	0	11	0.80	0	0	0	0	3	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0	0	0	0	0	0	0
22	Luke Tuch	Griffins (DET)	LW	7	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	3	0.56	0	0	0	0	1	0	0	0	0	1	0	0	0.00%	0	0	0.00	0	0	0	0	0	0	0	0
23	Noel Gunler	Griffins (DET)	RW	6	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.04	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0	0	0	0	0	0	0
Team Total or Average				1375	269	470	739	-34	705	45	1893	1901	2713	836	1909	9.92%	848	22428	16.31	79	139	218	616	2424	3	4	7	31	1966	42	19	50.25%	7275	2	0.66	3	14	3	1	5	29	39	33

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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	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Cayden Primeau	Griffins (DET)	65	31	27	3	0.898	3.53	3688	2	217	2123	5	1	0.600	5	65	13	7	2	4
2	Nico Daws	Griffins (DET)	21	12	2	3	0.928	2.67	1033	0	46	640	1	2	1.000	6	13	65	1	1	0
Team Total or Average			86	43	29	6	0.905	3.34	4722	2	263	2763	6	3	0.818	11	78	78	8	3	4

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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
Axel Jonsson-Fjallby	LW	28	1998-02-10	No	189 Lbs	6 ft1	No	No	No	3	UFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Bryce McConnell-Barker	C	22	2004-06-04	Yes	191 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	850,000$	0$	0$	No	Link
Caleb Jones	D	29	1997-06-06	No	194 Lbs	6 ft1	No	No	Yes	2	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Cayden Primeau	G	26	1999-08-11	No	205 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	890,000$	0$	0$	No	Link / NHL Link
Conor Sheary	LW	34	1992-06-08	No	182 Lbs	5 ft8	No	No	Yes	3	UFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Dylan McIlrath	D	34	1992-04-20	No	240 Lbs	6 ft5	No	No	Yes	1	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Egor Sokolov	LW	26	2000-06-07	No	222 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Elmer Soderblom (Out of Payroll)	LW	24	2001-07-05	No	246 Lbs	6 ft8	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	Yes	Link / NHL Link
Fabian Wagner	C	22	2004-05-07	Yes	170 Lbs	5 ft10	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Gustav Lindstrom	D	27	1998-10-20	No	194 Lbs	6 ft2	No	No	Yes	2	UFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Jakub Dobes	G	25	2001-05-27	No	215 Lbs	6 ft4	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Jan Mysak	C	24	2002-06-04	No	175 Lbs	5 ft11	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Jaxson Stauber	G	27	1999-04-27	No	174 Lbs	6 ft3	No	No	No	2	UFA	Pro & Farm	884,000$	0$	0$	No	Link / NHL Link
Jesper Boqvist	C	27	1998-10-30	No	190 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Josh Filmon	LW	22	2004-03-18	Yes	158 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Kevin Gravel	D	34	1992-03-06	No	205 Lbs	6 ft4	No	No	Yes	3	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Kieffer Bellows	LW	28	1998-06-10	No	195 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Luke Tuch	LW	24	2002-03-07	Yes	209 Lbs	6 ft3	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Martin Chromiak	RW	23	2002-08-20	No	187 Lbs	6 ft0	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Nico Daws	G	25	2000-12-22	No	205 Lbs	6 ft4	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Nikita Grebenkin	RW	23	2003-05-02	No	210 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Noel Gunler	RW	24	2001-10-07	Yes	176 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Oliver Kylington	D	29	1997-05-19	No	183 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	900,000$	0$	0$	No	Link
Ryan Johnson	D	24	2001-07-24	No	195 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Sam Poulin	RW	25	2001-02-25	No	227 Lbs	6 ft2	No	No	No	4	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Sergei Murashov	G	22	2004-04-01	Yes	175 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Tim Gettinger	LW	28	1998-04-14	No	220 Lbs	6 ft6	No	No	Yes	3	UFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Tobias Bjornfot	D	25	2001-04-06	No	200 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Yegor Sidorov (Out of Payroll)	RW	22	2004-06-18	Yes	184 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	Yes	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
29	25.97	197 Lbs	6 ft2	2.31	877,552$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Egor Sokolov	Jesper Boqvist	Tim Gettinger	35	1	2	2
2	Nikita Grebenkin	Conor Sheary	Sam Poulin	30	1	2	2
3	Kieffer Bellows	Jan Mysak	Axel Jonsson-Fjallby	20	1	2	2
4	Kieffer Bellows	Conor Sheary	Sam Poulin	15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dylan McIlrath	Ryan Johnson	35	1	2	2
2		Caleb Jones	30	1	2	2
3	Gustav Lindstrom	Tobias Bjornfot	20	1	2	2
4		Ryan Johnson	15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Egor Sokolov	Jesper Boqvist	Kieffer Bellows	60	1	2	2
2	Conor Sheary	Tim Gettinger	Sam Poulin	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Ryan Johnson	60	1	2	2
2	Caleb Jones	Gustav Lindstrom	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Kieffer Bellows	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	Caleb Jones	Gustav Lindstrom	60	1	2	2
2		Ryan Johnson	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Kieffer Bellows	60	1	2	2		Ryan Johnson	60	1	2	2
2	Conor Sheary	40	1	2	2	Gustav Lindstrom	Caleb Jones	40	1	2	2

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

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Caleb Jones	Ryan Johnson	60	1	2	2
2		Gustav Lindstrom	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Sam Poulin	Jesper Boqvist	Conor Sheary	Caleb Jones

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Sam Poulin	Jesper Boqvist	Conor Sheary	Caleb Jones

Extra Forwards
Normal	PowerPlay	Penalty Kill
Conor Sheary, Kieffer Bellows, Sam Poulin	Conor Sheary, Kieffer Bellows	Kieffer Bellows

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Caleb Jones, Ryan Johnson,	Ryan Johnson	Ryan Johnson, Caleb Jones

Penalty Shots
Egor Sokolov, Conor Sheary, Kieffer Bellows, Sam Poulin, Jesper Boqvist

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

Custom OT Lines Forwards
Jan Mysak, Jesper Boqvist, Tim Gettinger, Conor Sheary, Nikita Grebenkin, Egor Sokolov, Egor Sokolov, Kieffer Bellows, Sam Poulin, Luke Tuch, Axel Jonsson-Fjallby

Custom OT Lines Defensemen
Tobias Bjornfot, Ryan Johnson, , Dylan McIlrath, Caleb Jones

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			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
78	92	W1	273	482	755	2798	2766	845	715	1925	3	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
78	35	29	5	5	3	1	273	267

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
38	19	11	4	3	0	1	132	129

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	16	18	1	2	3	0	141	138

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	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
322	81	25.16%	306	69	77.45%	3

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
850	974	936	49	87	105	73	8

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1540	2966	51.92%	1472	2928	50.27%	650	1308	49.69%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1904	1316	1825	573	995	500

Last Played Games Show or Hide Column

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7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
2 - 2025-09-24	14	Bruins	3	Griffins	5	W			BoxScore
3 - 2025-09-25	25	Griffins	2	Rocket	4	L			BoxScore
5 - 2025-09-27	41	Griffins	3	Moose	2	W			BoxScore
7 - 2025-09-29	54	Eagles	2	Griffins	1	L	X		BoxScore
9 - 2025-10-01	69	Gulls	2	Griffins	3	W			BoxScore
11 - 2025-10-03	82	Griffins	0	Rocket	6	L			BoxScore
13 - 2025-10-05	96	Wolves	8	Griffins	1	L			BoxScore
15 - 2025-10-07	107	Griffins	7	Bruins	5	W			BoxScore
17 - 2025-10-09	124	Wolves	2	Griffins	3	W			BoxScore
19 - 2025-10-11	138	Griffins	1	Senators	3	L			BoxScore
21 - 2025-10-13	153	Silver Knights	6	Griffins	2	L			BoxScore
23 - 2025-10-15	168	Marlies	1	Griffins	3	W			BoxScore
24 - 2025-10-16	179	Griffins	2	Americans	3	L			BoxScore
26 - 2025-10-18	195	Roadrunners	3	Griffins	5	W			BoxScore
28 - 2025-10-20	209	Griffins	3	Silver Knights	5	L			BoxScore
31 - 2025-10-23	227	Americans	3	Griffins	4	W	X		BoxScore
33 - 2025-10-25	241	Griffins	3	Barracuda	6	L			BoxScore
34 - 2025-10-26	256	Monsters	5	Griffins	6	W			BoxScore
37 - 2025-10-29	273	Griffins	5	Rocket	4	W	X		BoxScore
38 - 2025-10-30	282	Griffins	4	Americans	1	W			BoxScore
40 - 2025-11-01	294	Senators	1	Griffins	2	W	X		BoxScore
42 - 2025-11-03	312	Wild	4	Griffins	5	W			BoxScore
44 - 2025-11-05	323	Griffins	6	Heat	2	W			BoxScore
46 - 2025-11-07	340	Barracuda	4	Griffins	5	W	X		BoxScore
49 - 2025-11-10	358	Griffins	2	Admirals	4	L			BoxScore
50 - 2025-11-11	368	Thunderbirds	5	Griffins	1	L			BoxScore
52 - 2025-11-13	380	Griffins	5	IceHogs	6	L			BoxScore
54 - 2025-11-15	396	Marlies	1	Griffins	2	W			BoxScore
55 - 2025-11-16	410	Griffins	3	Phantoms	4	L			BoxScore
57 - 2025-11-18	422	Griffins	1	Senators	3	L			BoxScore
59 - 2025-11-20	432	Checkers	3	Griffins	5	W			BoxScore
61 - 2025-11-22	445	Griffins	4	Condors	5	L	X		BoxScore
63 - 2025-11-24	461	Islanders	4	Griffins	3	L	X		BoxScore
64 - 2025-11-25	476	Griffins	6	Firebirds	3	W			BoxScore
66 - 2025-11-27	488	Rocket	4	Griffins	2	L			BoxScore
68 - 2025-11-29	506	Griffins	3	Moose	2	W			BoxScore
69 - 2025-11-30	515	Senators	4	Griffins	5	W	X		BoxScore
71 - 2025-12-02	534	Canucks	3	Griffins	6	W			BoxScore
73 - 2025-12-04	546	Griffins	4	Wild	2	W			BoxScore
75 - 2025-12-06	563	Rocket	4	Griffins	8	W			BoxScore
77 - 2025-12-08	581	Griffins	4	Gulls	2	W			BoxScore
78 - 2025-12-09	591	Eagles	5	Griffins	1	L			BoxScore
80 - 2025-12-11	605	Griffins	2	Phantoms	4	L			BoxScore
81 - 2025-12-12	618	Phantoms	4	Griffins	2	L			BoxScore
83 - 2025-12-14	633	Griffins	2	Thunderbirds	3	L			BoxScore
85 - 2025-12-16	645	Penguins	3	Griffins	4	W			BoxScore
87 - 2025-12-18	661	Griffins	5	Penguins	2	W			BoxScore
88 - 2025-12-19	673	Griffins	2	Checkers	4	L			BoxScore
90 - 2025-12-21	686	Condors	5	Griffins	4	L	X	X	BoxScore
92 - 2025-12-23	703	Checkers	3	Griffins	4	W			BoxScore
94 - 2025-12-25	714	Griffins	4	Checkers	3	W			BoxScore
95 - 2025-12-26	728	Griffins	3	Bruins	4	L			BoxScore
97 - 2025-12-28	741	IceHogs	5	Griffins	6	W			BoxScore
99 - 2025-12-30	758	Griffins	3	Wolves	5	L			BoxScore
100 - 2025-12-31	768	Checkers	4	Griffins	2	L			BoxScore
102 - 2026-01-02	782	Griffins	0	Marlies	2	L			BoxScore
104 - 2026-01-04	794	Heat	3	Griffins	1	L			BoxScore
106 - 2026-01-06	811	Griffins	3	Penguins	5	L			BoxScore
107 - 2026-01-07	822	Stars	1	Griffins	2	W			BoxScore
110 - 2026-01-10	844	Islanders	4	Griffins	5	W			BoxScore
111 - 2026-01-11	858	Griffins	4	Roadrunners	3	W			BoxScore
112 - 2026-01-12	866	Griffins	3	Bruins	5	L			BoxScore
114 - 2026-01-14	881	Marlies	0	Griffins	4	W			BoxScore
116 - 2026-01-16	899	Griffins	6	Marlies	5	W	X	X	BoxScore
117 - 2026-01-17	904	Griffins	3	Canucks	2	W			BoxScore
118 - 2026-01-18	916	Admirals	5	Griffins	4	L			BoxScore
120 - 2026-01-20	933	Griffins	4	Monsters	3	W	X	X	BoxScore
122 - 2026-01-22	946	Firebirds	5	Griffins	4	L	X		BoxScore
123 - 2026-01-23	959	Comets	2	Griffins	4	W			BoxScore
125 - 2026-01-25	976	Griffins	7	Senators	2	W			BoxScore
126 - 2026-01-26	986	Griffins	3	Eagles	1	W			BoxScore
128 - 2026-01-28	998	Americans	2	Griffins	1	L			BoxScore
129 - 2026-01-29	1004	Griffins	6	Monsters	5	W	X	X	BoxScore
131 - 2026-01-31	1018	Griffins	4	Comets	0	W			BoxScore
132 - 2026-02-01	1033	Americans	1	Griffins	3	W			BoxScore
134 - 2026-02-03	1047	Griffins	3	Stars	4	L	X		BoxScore
136 - 2026-02-05	1059	Bruins	5	Griffins	4	L			BoxScore
138 - 2026-02-07	1076	Griffins	6	Islanders	4	W			BoxScore
140 - 2026-02-09	1090	Bruins	-	Griffins	-
141 - 2026-02-10	1100	Griffins	-	Comets	-
143 - 2026-02-12	1119	Comets	-	Griffins	-
146 - 2026-02-15	1144	Moose	-	Griffins	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	66,591	37,420
Attendance PCT	87.62%	98.47%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
3	2737 - 91.24%	95,131$	3,614,981$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,188,847$	1,182,450$	1,182,450$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	1,251,878$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
285,393$	10	14,746$	147,460$

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	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	78	35	29	0	5	5	3	1	273	267	6	38	19	11	0	4	3	0	1	132	129	3	40	16	18	0	1	2	3	0	141	138	3	92	273	482	755	3	2	87	105	73	8	2798	850	974	936	49	2766	845	715	1925	322	81	25.16%	306	69	77.45%	3	1540	2966	51.92%	1472	2928	50.27%	650	1308	49.69%	1904	1316	1825	573	995	500
Total Regular Season	1136	453	480	0	71	60	35	37	3921	4000	-79	567	247	225	0	36	28	16	15	2024	1952	72	569	206	255	0	35	32	19	22	1897	2048	-151	1215	3921	7012	10933	26	39	87	1474	1227	1035	38542	850	12627	12788	11880	39915	11602	8352	26580	3516	765	21.76%	3586	779	78.28%	30	20023	40378	49.59%	20162	41306	48.81%	9369	18976	49.37%	26808	18438	27287	8401	14702	7282
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
Total Playoff	55	21	34	0	0	0	0	0	169	203	-34	26	11	15	0	0	0	0	0	81	92	-11	29	10	19	0	0	0	0	0	88	111	-23	42	169	311	480	2	3	0	58	43	65	1827	0	576	549	653	1965	599	493	1365	188	39	20.74%	198	49	75.25%	2	945	1981	47.70%	1068	2123	50.31%	464	938	49.47%	1303	883	1394	427	736	362