LSMH - LIGUE SIMULE DES MORDUS DE HOCKEY

Panthers
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	Jimmy Snuggerud (R)			X		100.00	65	35	93	74	76	87	86	73	56	72	70	65	71	62	64	81	75	70	0
2	Reid Schaefer		X			98.00	83	54	71	64	95	80	78	63	57	60	66	68	65	63	64	77	75	68	0
3	Ben Kindel (R)	X				100.00	59	34	93	74	69	86	89	68	75	65	67	64	70	58	61	87	75	67	0
4	Dryden Hunt		X			100.00	77	52	72	67	73	89	80	66	76	73	60	62	63	72	73	34	75	67	0
5	Dalibor Dvorsky	X				100.00	69	39	88	67	79	85	86	68	73	61	65	64	69	61	63	86	75	66	0
6	Chris Wagner (C)			X		99.00	63	41	73	64	73	87	86	62	68	60	66	65	61	75	77	30	75	65	0
7	Cam Lund	X	X	X		99.00	68	38	90	64	79	88	68	63	65	62	61	60	63	62	64	77	75	64	0
8	Florian Xhekaj	X	X			99.00	72	68	52	63	82	77	86	58	55	61	59	62	57	63	64	62	75	63	0
9	Owen Sillinger	X				100.00	64	37	80	63	67	82	81	62	65	61	59	64	58	69	71	36	75	63	0
10	Brian Halonen (A)		X			99.00	69	40	79	62	76	82	84	59	55	56	64	58	62	67	69	37	75	62	0
11	Eetu Liukas		X			100.00	75	41	79	55	84	73	74	58	53	57	56	59	52	64	66	48	75	61	0
12	Liam McLinskey (R)			X		100.00	67	37	92	60	76	73	68	57	65	62	56	58	59	65	67	42	75	61	0
13	Harrison Brunicke				X	98.00	71	42	73	67	84	83	63	65	30	60	61	64	53	60	62	75	75	65	0
14	Maveric Lamoureux				X	99.00	79	45	66	64	92	83	84	62	30	63	56	65	49	62	64	79	75	65	0
15	Sam Dickinson (R)				X	100.00	66	37	91	73	83	85	87	67	30	68	52	62	50	59	60	87	75	65	0
16	Jeremie Poirier				X	98.00	68	41	74	60	77	72	83	57	30	62	55	58	48	64	66	63	75	61	0
17	Luke Krys				X	100.00	68	40	80	58	77	70	79	56	30	57	55	59	47	66	68	42	75	60	0
Scratches
1	Michael Brandsegg-Nygard (R)			X		100.00	75	40	81	59	78	85	88	57	53	56	55	58	57	61	63	84	75	60	0
2	Gabriel Szturc	X				100.00	62	37	90	59	71	69	81	55	62	57	56	59	58	63	65	44	75	59	0
3	Cooper Walker (R)	X				100.00	60	37	92	57	69	66	73	56	62	54	55	58	53	64	66	43	75	58	0
4	Samuel Bitten	X				100.00	71	63	59	55	80	65	79	54	51	52	53	56	54	66	68	42	75	58	0
5	Riley Bezeau			X		100.00	63	47	53	55	72	70	68	54	52	53	56	57	54	64	66	43	75	57	0
6	Ayrton Martino (R)		X			100.00	55	36	95	57	64	63	75	56	53	54	52	55	58	64	66	63	75	56	0
7	Reece Vitelli	X				100.00	59	37	87	55	68	66	64	53	56	54	50	52	51	65	67	42	75	55	0
8	Ryan Ufko				X	89.85	60	36	91	64	69	81	87	63	30	71	62	60	51	63	65	59	75	64	0
9	Etienne Morin (R)				X	100.00	61	37	93	55	70	64	67	53	30	54	52	56	45	61	63	73	75	56	0

	TEAM AVERAGE					99.15	67	42	80	62	76	77	79	60	52	60	58	60	57	64	66	59	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	Ryan Fanti	97.00	73	77	73	82	72	71	73	72	71	73	72	67	77	37	75	73	0
2	Luke Cavallin	100.00	69	73	69	80	68	67	69	68	67	69	68	66	73	42	75	69	0
Scratches

	TEAM AVERAGE	98.50	71	75	71	81	70	69	71	70	69	71	70	67	75	40	75	71

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jessica Campbell	64	66	67	70	50	50	93	CAN	33	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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	FO%	FOT	P/20	S1	S2	S3
1	Harrison Brunicke	Checkers (FLA)	D	6	1	5	6	2	4	14	3	13	3	9	7.69%	10	140	23.49	1	1	2	7	24	1	16	0	0.00%	0	0.85	0	1	0
2	Jimmy Snuggerud	Checkers (FLA)	RW	5	4	2	6	2	0	1	14	24	7	16	16.67%	1	61	12.38	0	0	0	0	0	0	0	0	45.21%	73	1.94	0	0	1
3	Ryan Ufko	Checkers (FLA)	D	6	1	5	6	-1	0	2	8	12	6	6	8.33%	12	119	19.98	1	2	3	7	22	0	15	0	0.00%	0	1.00	1	0	0
4	Owen Sillinger	Checkers (FLA)	C	6	3	3	6	2	0	1	14	12	6	11	25.00%	0	88	14.70	1	1	2	4	20	0	0	0	46.53%	101	1.36	0	0	2
5	Dryden Hunt	Checkers (FLA)	LW	6	3	2	5	3	2	7	10	17	4	12	17.65%	1	79	13.26	0	0	0	0	2	1	0	2	44.44%	9	1.26	0	2	0
6	Reid Schaefer	Checkers (FLA)	LW	6	3	2	5	0	2	27	10	29	10	19	10.34%	3	153	25.53	0	0	0	8	26	0	21	2	38.46%	78	0.65	1	0	0
7	Chris Wagner	Checkers (FLA)	RW	6	1	3	4	3	4	5	14	24	8	23	4.17%	1	125	20.98	0	0	0	5	22	0	19	0	41.67%	12	0.64	0	0	0
8	Cam Lund	Checkers (FLA)	C/LW/RW	6	2	1	3	-4	2	1	10	19	9	19	10.53%	0	130	21.67	1	0	1	2	22	0	10	0	50.77%	65	0.46	0	0	0
9	Brian Halonen	Checkers (FLA)	LW	5	0	3	3	-3	2	6	8	17	4	7	0.00%	1	103	20.72	0	1	1	8	20	1	9	0	50.00%	8	0.58	0	0	0
10	Florian Xhekaj	Checkers (FLA)	C/LW	6	1	2	3	-3	4	24	13	14	5	10	7.14%	2	99	16.53	1	2	3	2	20	0	0	0	39.13%	138	0.61	0	0	0
11	Jeremie Poirier	Checkers (FLA)	D	6	0	2	2	-2	0	19	3	6	1	3	0.00%	9	141	23.51	0	0	0	5	20	0	17	0	0.00%	0	0.28	0	0	0
12	Luke Krys	Checkers (FLA)	D	6	0	2	2	3	0	5	1	7	1	1	0.00%	6	78	13.08	0	1	1	2	3	0	6	0	0.00%	0	0.51	0	0	0
13	Maveric Lamoureux	Checkers (FLA)	D	5	0	2	2	-4	8	19	6	8	4	6	0.00%	6	104	20.98	0	2	2	4	21	0	0	0	0.00%	0	0.38	0	0	0
14	Bradly Nadeau	Panthers	C/LW/RW	1	1	0	1	0	0	2	1	5	1	3	20.00%	0	18	18.65	1	0	1	3	3	0	0	0	0.00%	2	1.07	0	0	0
15	Ben Kindel	Checkers (FLA)	C	6	0	1	1	-3	0	2	6	9	3	5	0.00%	0	40	6.69	0	0	0	4	3	0	1	0	60.71%	28	0.50	0	0	0
16	Jonny Brodzinski	Panthers	C	1	0	1	1	0	0	0	6	5	2	4	0.00%	0	18	18.65	0	1	1	1	3	0	0	0	58.06%	31	1.07	0	0	0
17	Taylor Raddysh	Panthers	RW	1	1	0	1	0	0	2	0	4	3	4	25.00%	0	20	20.75	0	0	0	0	2	0	1	0	25.00%	4	0.96	0	0	0
18	Sam Dickinson	Checkers (FLA)	D	6	0	1	1	0	6	6	4	10	5	10	0.00%	5	112	18.71	0	0	0	4	2	0	13	0	0.00%	0	0.18	0	0	0
19	Dalibor Dvorsky	Checkers (FLA)	C	6	0	0	0	-2	0	2	2	10	2	5	0.00%	0	33	5.63	0	0	0	0	0	0	0	0	48.15%	27	0.00	0	0	0
20	Eetu Liukas	Checkers (FLA)	LW	5	0	0	0	2	2	2	6	8	1	2	0.00%	0	68	13.66	0	0	0	0	0	0	5	0	40.00%	15	0.00	0	0	0
21	Oliver Bonk	Panthers	D	1	0	0	0	0	2	4	0	2	1	2	0.00%	1	21	21.50	0	0	0	1	3	0	0	0	0.00%	0	0.00	0	0	0
Team Total or Average				102	21	37	58	-5	38	151	139	255	86	177	8.24%	58	1760	17.26	6	11	17	67	248	3	142	4	44.84%	591	0.66	2	3	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	PCT	GAA	MP	PIM	GA	SA	ST	BG	S1	S2	S3
1	Ryan Fanti	Checkers (FLA)	5	3	1	0.936	2.77	260	2	12	188	4	2	1	1	1
2	Luke Cavallin	Checkers (FLA)	2	1	1	0.878	3.03	99	0	5	41	2	4	0	0	0
Team Total or Average			7	4	2	0.926	2.83	360	2	17	229	6	6	1	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
Ayrton Martino	LW	24	2002-09-28	Yes	160 Lbs	5 ft11	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Ben Kindel	C	20	2007-04-19	Yes	182 Lbs	5 ft11	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Brian Halonen	LW	28	1999-01-11	No	207 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Cam Lund	C/LW/RW	23	2004-06-07	No	195 Lbs	6 ft2	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Chris Wagner	RW	36	1991-05-27	No	192 Lbs	6 ft0	No	No	Yes	2	UFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Cooper Walker	C	24	2002-07-11	Yes	174 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Dalibor Dvorsky	C	22	2005-06-15	No	207 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Dryden Hunt	LW	31	1995-11-24	No	193 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Eetu Liukas	LW	24	2002-09-25	No	205 Lbs	6 ft3	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Etienne Morin	D	22	2005-03-09	Yes	180 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Florian Xhekaj	C/LW	23	2004-06-27	No	195 Lbs	6 ft3	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Gabriel Szturc	C	23	2003-09-24	No	194 Lbs	5 ft11	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Harrison Brunicke	D	21	2006-05-08	No	201 Lbs	6 ft3	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Jeremie Poirier	D	25	2002-06-02	No	196 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Jimmy Snuggerud	RW	23	2004-06-01	Yes	193 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Liam McLinskey	RW	26	2001-02-20	Yes	165 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Luke Cavallin	G	26	2001-04-29	No	196 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Luke Krys	D	26	2000-09-27	No	185 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Maveric Lamoureux	D	23	2004-01-13	No	196 Lbs	6 ft6	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Michael Brandsegg-Nygard	RW	21	2005-10-05	Yes	204 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Owen Sillinger	C	29	1997-09-23	No	182 Lbs	5 ft10	No	No	No	1	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Reece Vitelli	C	25	2001-07-05	No	180 Lbs	5 ft11	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Reid Schaefer	LW	23	2003-09-21	No	226 Lbs	6 ft5	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Riley Bezeau	RW	25	2002-05-04	No	187 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Ryan Fanti	G	27	1999-10-03	No	194 Lbs	6 ft3	No	No	No	2	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Ryan Ufko	D	24	2003-05-07	No	174 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Sam Dickinson	D	21	2006-06-07	Yes	200 Lbs	6 ft3	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Samuel Bitten	C	27	2000-03-21	No	200 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
28	24.71	192 Lbs	6 ft1	2.11	870,536$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Reid Schaefer	Owen Sillinger	Chris Wagner	35	1	2	2
2	Brian Halonen	Florian Xhekaj	Cam Lund	30	1	2	2
3	Eetu Liukas	Jimmy Snuggerud	Dryden Hunt	20	1	2	2
4	Ben Kindel	Reid Schaefer	Dalibor Dvorsky	15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jeremie Poirier	Sam Dickinson	35	1	2	2
2		Maveric Lamoureux	30	1	2	2
3	Harrison Brunicke	Luke Krys	20	1	2	2
4	Jeremie Poirier	Harrison Brunicke	15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Reid Schaefer	Cam Lund	Chris Wagner	60	1	2	2
2	Brian Halonen	Florian Xhekaj	Owen Sillinger	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jeremie Poirier	Harrison Brunicke	60	1	2	2
2		Maveric Lamoureux	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Reid Schaefer	Chris Wagner	60	1	2	2
2	Cam Lund	Brian Halonen	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jeremie Poirier	Harrison Brunicke	60	1	2	2
2		Sam Dickinson	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Reid Schaefer	60	1	2	2	Jeremie Poirier	Sam Dickinson	60	1	2	2
2	Chris Wagner	40	1	2	2		Harrison Brunicke	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Reid Schaefer	Chris Wagner	60	1	2	2
2	Cam Lund	Brian Halonen	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jeremie Poirier	Sam Dickinson	60	1	2	2
2		Harrison Brunicke	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Reid Schaefer	Cam Lund	Chris Wagner	Jeremie Poirier	Sam Dickinson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Reid Schaefer	Cam Lund	Chris Wagner	Jeremie Poirier	Sam Dickinson

Extra Forwards
Normal	PowerPlay	Penalty Kill
Reid Schaefer, Owen Sillinger, Eetu Liukas	Reid Schaefer, Owen Sillinger	Eetu Liukas

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Harrison Brunicke, Jeremie Poirier,	Harrison Brunicke	Jeremie Poirier,

Penalty Shots
Reid Schaefer, Chris Wagner, Cam Lund, Brian Halonen, Florian Xhekaj

Goalie
#1 : Ryan Fanti, #2 : Luke Cavallin

Custom OT Lines Forwards
Reid Schaefer, Chris Wagner, Cam Lund, Brian Halonen, Florian Xhekaj, Owen Sillinger, Owen Sillinger, Eetu Liukas, Jimmy Snuggerud, Ben Kindel, Dryden Hunt

Custom OT Lines Defensemen
Jeremie Poirier, Luke Krys, , Sam Dickinson, Harrison Brunicke

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	8	L2	21	37	58	255	229	58	40	151	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	4	2	0	0	0	0	21	17

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	13	9

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	8	8

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	2	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
30	6	20.00%	19	1	94.74%	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
88	84	83	0	10	8	3	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
113	254	44.49%	107	238	44.96%	45	99	45.45%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
149	103	136	43	74	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	Link
1 - 2026-09-02	2	Checkers	3	Griffins	1	W	BoxScore
2 - 2026-09-03	22	Marlies	1	Checkers	6	W	BoxScore
3 - 2026-09-04	36	Rocket	3	Checkers	4	W	BoxScore
4 - 2026-09-05	48	Checkers	4	Bruins	1	W	BoxScore
6 - 2026-09-07	61	Checkers	1	Senators	6	L	BoxScore
7 - 2026-09-08	71	Bruins	5	Checkers	3	L	BoxScore
8 - 2026-09-09	84	Checkers	-	Rocket	-
9 - 2026-09-10	99	Checkers	-	Marlies	-
10 - 2026-09-11	109	Senators	-	Checkers	-
12 - 2026-09-13	128	Americans	-	Checkers	-
14 - 2026-09-15	146	Griffins	-	Checkers	-
15 - 2026-09-16	150	Checkers	-	Americans	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	29	13
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
38	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	1,218,750$	1,218,750$	0$

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

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	11	0$	0$

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	26	34	0	5	5	4	4	212	227	-15	39	16	17	0	2	1	1	2	112	112	0	39	10	17	0	3	4	3	2	100	115	-15	79	212	376	588	5	2	0	78	67	58	2059	0	622	688	720	2472	714	389	1499	167	33	19.76%	161	25	84.47%	0	1123	2369	47.40%	1285	2650	48.49%	608	1305	46.59%	1770	1190	1908	594	1059	520
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	28	32	0	11	4	4	3	269	269	0	41	15	14	0	7	0	3	2	140	124	16	41	13	18	0	4	4	1	1	129	145	-16	93	269	479	748	1	0	0	96	80	78	2600	0	872	831	846	2589	711	478	1733	204	38	18.63%	205	53	74.15%	2	1465	2841	51.57%	1395	2757	50.60%	701	1338	52.39%	2008	1389	1893	601	1082	550
4	82	28	36	0	8	5	4	1	235	223	12	41	17	14	0	3	4	2	1	125	102	23	41	11	22	0	5	1	2	0	110	121	-11	86	235	409	644	1	5	0	78	70	75	2606	0	859	898	812	2464	668	394	1565	144	31	21.53%	165	39	76.36%	2	1504	2799	53.73%	1521	2742	55.47%	687	1247	55.09%	2050	1454	1866	574	1054	532
2020	82	37	27	0	3	10	2	3	308	283	25	41	17	13	0	3	4	2	2	158	137	21	41	20	14	0	0	6	0	1	150	146	4	97	308	562	870	1	2	0	121	106	76	2938	0	978	961	972	2883	819	589	1893	247	65	26.32%	258	52	79.84%	1	1570	3014	52.09%	1608	3080	52.21%	663	1358	48.82%	1932	1314	1959	619	1086	535
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	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
2021	82	29	34	0	8	4	4	3	247	244	3	41	13	20	0	5	1	2	0	119	129	-10	41	16	14	0	3	3	2	3	128	115	13	89	247	453	700	3	2	0	85	85	65	2609	0	842	845	877	2496	729	501	1958	276	56	20.29%	219	40	81.74%	2	1353	2916	46.40%	1331	2759	48.24%	608	1253	48.52%	2018	1390	1879	608	1083	550
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
2022	82	37	35	0	4	5	0	1	280	258	22	41	16	20	0	3	1	0	1	127	128	-1	41	21	15	0	1	4	0	0	153	130	23	88	280	495	775	2	2	0	97	96	83	2755	0	910	917	915	2792	846	553	1858	273	56	20.51%	227	42	81.50%	2	1508	2902	51.96%	1504	2962	50.78%	684	1335	51.24%	1921	1322	1958	606	1064	529
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
2023	82	33	39	0	6	0	2	2	339	321	18	41	19	18	0	2	0	1	1	167	149	18	41	14	21	0	4	0	1	1	172	172	0	84	339	614	953	4	2	0	130	115	86	3064	0	928	1056	1053	3306	925	671	1951	299	81	27.09%	296	68	77.03%	2	1533	3025	50.68%	1589	3244	48.98%	757	1465	51.67%	1947	1343	1973	604	1034	514
2024	82	33	38	0	4	5	2	0	318	328	-10	41	20	14	0	3	2	2	0	171	148	23	41	13	24	0	1	3	0	0	147	180	-33	83	318	570	888	3	1	0	113	93	106	3089	0	1092	957	1021	3318	963	711	2050	312	83	26.60%	317	78	75.39%	4	1610	3096	52.00%	1778	3369	52.78%	741	1420	52.18%	1901	1306	1987	616	1051	516
2025	82	32	37	0	8	4	0	1	287	312	-25	41	19	15	0	4	2	0	1	155	152	3	41	13	22	0	4	2	0	0	132	160	-28	85	287	522	809	3	1	0	106	91	82	2940	0	968	985	970	3240	922	814	2060	309	59	19.09%	367	75	79.56%	3	1506	3143	47.92%	1611	3347	48.13%	669	1376	48.62%	1880	1271	2010	622	1052	518
Total Regular Season	1140	438	493	0	81	61	34	33	3831	3898	-67	570	237	221	0	46	25	22	19	1970	1851	119	570	201	272	0	35	36	12	14	1861	2047	-186	1200	3831	6889	10720	32	23	0	1411	1234	1071	38351	0	12594	12632	12708	39685	11372	8347	26309	3470	772	22.25%	3636	784	78.44%	33	20378	40592	50.20%	20915	41656	50.21%	9498	18830	50.44%	26946	18481	27217	8478	14860	7384
Playoff
2021	6	2	4	0	0	0	0	0	17	24	-7	3	0	3	0	0	0	0	0	7	13	-6	3	2	1	0	0	0	0	0	10	11	-1	4	17	32	49	0	0	0	7	4	5	180	0	75	56	44	222	64	30	140	17	3	17.65%	15	2	86.67%	0	76	206	36.89%	92	242	38.02%	40	98	40.82%	141	95	151	45	81	39
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
2022	12	5	7	0	0	0	0	0	46	48	-2	5	2	3	0	0	0	0	0	18	21	-3	7	3	4	0	0	0	0	0	28	27	1	10	46	79	125	0	0	0	16	16	10	442	0	145	149	124	387	119	81	309	32	3	9.38%	32	9	71.88%	0	237	475	49.89%	224	405	55.31%	119	215	55.35%	308	214	283	89	164	83
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
Total Playoff	33	14	19	0	0	0	0	0	117	127	-10	15	4	11	0	0	0	0	0	50	61	-11	18	10	8	0	0	0	0	0	67	66	1	28	117	209	326	1	1	0	48	39	24	1189	0	412	380	336	1171	349	284	878	99	22	22.22%	127	31	75.59%	0	615	1250	49.20%	625	1277	48.94%	295	586	50.34%	821	562	817	257	454	222