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
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
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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	Tanner Pearson		X			98.00	72	39	92	69	79	78	85	66	56	65	64	63	68	82	76	42	75	67	0
2	Tyler Pitlick	X				98.00	79	39	83	66	80	79	81	63	59	60	65	62	64	77	76	40	75	66	0
3	Joona Koppanen		X			100.00	81	43	91	62	93	80	83	59	63	58	57	68	56	68	70	47	75	65	0
4	Matthew Peca	X				99.00	58	37	92	65	68	81	85	63	70	67	64	61	66	73	75	29	75	65	0
5	Mackenzie MacEachern		X			99.00	72	41	70	62	79	81	72	61	59	67	63	61	63	72	74	39	75	65	0
6	Travis Boyd	X				100.00	62	36	92	65	72	79	78	64	68	63	60	62	65	74	75	29	75	64	0
7	Nikita Pavlychev	X				100.00	86	53	74	59	95	78	85	57	61	58	56	62	55	69	71	40	75	64	0
8	Daniel Carr		X			100.00	63	39	79	62	72	81	68	61	64	60	63	62	65	75	77	23	75	63	0
9	Skyler Brind'Amour	X				100.00	69	39	82	61	79	85	87	58	60	55	61	66	62	67	69	42	75	63	0
10	Jonas Rondbjerg			X		98.00	69	38	92	60	82	84	81	57	54	59	58	61	56	67	69	55	75	62	0
11	Dylan McIlrath				X	98.00	79	82	67	62	97	77	64	57	30	61	50	64	46	73	74	46	75	64	0
12	Andreas Englund				X	100.00	79	73	67	61	86	77	76	57	30	58	55	62	48	70	72	60	75	63	0
13	William Lagesson				X	100.00	73	40	80	62	83	82	77	59	30	67	54	60	47	70	72	51	75	63	0
14	Marc Del Gaizo				X	100.00	67	39	83	63	70	85	86	61	30	64	58	62	50	67	69	51	75	63	0
15	Colton Huard (R)				X	100.00	82	49	67	58	91	64	70	56	30	57	53	60	46	66	68	42	75	62	0
16	Jacob Moverare				X	100.00	72	39	94	61	84	76	73	60	30	64	52	59	47	68	70	50	75	62	0
17	Jimmy Schuldt				X	100.00	69	39	79	57	78	80	87	56	30	55	53	60	47	71	73	34	75	60	0
Scratches
1	Evgenii Dadonov			X		94.00	63	34	95	73	70	81	79	68	50	66	69	63	72	81	78	29	75	68	0
2	Andrew Agozzino		X			100.00	69	38	78	60	68	83	81	57	63	59	61	58	56	75	77	23	75	61	0
3	Viktor Neuchev		X			100.00	64	37	94	61	73	84	79	59	62	60	57	58	56	63	65	67	75	60	0
4	Hunter St. Martin (R)		X			100.00	63	39	76	58	72	75	77	57	53	56	55	54	58	61	63	49	75	58	0
5	Nick Leddy				X	100.00	64	36	95	69	75	87	71	65	30	70	56	65	51	85	77	43	75	66	0

	TEAM AVERAGE					99.27	71	43	83	63	79	80	78	60	49	61	58	62	57	72	72	42	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	Matt Tomkins	95.00	76	84	79	85	75	74	76	75	74	76	75	72	86	30	75	76	0
2	Trey Augustine (R)	100.00	61	71	68	74	60	59	61	60	59	61	60	61	65	74	75	62	0
Scratches

	TEAM AVERAGE	97.50	69	78	74	80	68	67	69	68	67	69	68	67	76	52	75	69

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Adam Foote	77	73	75	74	81	76	68	CAN	54	2	500,000$

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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	FT	S1	S2	S3
1	Evgenii Dadonov	IceHogs (CHI)	RW	13	10	10	20	-3	4	0	9	27	74	23	52	13.51%	4	321	24.71	3	2	5	16	46	0	1	1	3	40	3	0	47.01%	117	2	1.25	0	2	2	0
2	Lars Eller	Blackhawks	C	12	5	14	19	-4	6	0	20	38	42	21	35	11.90%	5	290	24.23	1	4	5	11	43	1	0	1	3	37	0	0	59.70%	335	0	1.31	0	2	2	0
3	Tyler Pitlick	IceHogs (CHI)	C	13	5	11	16	-1	6	0	48	33	67	22	44	7.46%	3	271	20.87	2	5	7	15	43	0	0	0	2	18	2	0	49.86%	365	0	1.18	0	1	1	1
4	Jonas Rondbjerg	IceHogs (CHI)	RW	13	6	5	11	-1	2	0	12	19	26	7	14	23.08%	4	252	19.40	2	3	5	9	43	0	0	0	0	0	0	0	33.33%	21	0	0.87	0	0	0	0
5	Tanner Pearson	IceHogs (CHI)	LW	13	3	8	11	0	4	0	26	26	45	16	54	6.67%	2	264	20.32	0	1	1	11	46	0	0	0	1	22	1	0	34.62%	52	0	0.83	0	0	0	1
6	Matthew Peca	IceHogs (CHI)	C	13	4	5	9	6	0	0	4	32	30	15	24	13.33%	3	191	14.74	0	1	1	0	2	0	0	0	0	10	0	0	52.12%	236	0	0.94	0	0	0	0
7	William Lagesson	IceHogs (CHI)	D	13	4	4	8	3	4	0	15	13	23	8	19	17.39%	20	277	21.31	3	1	4	16	42	0	0	0	0	31	0	1	0.00%	0	0	0.58	0	0	0	0
8	Andreas Englund	IceHogs (CHI)	D	13	1	6	7	-1	14	0	40	9	15	4	9	6.67%	16	277	21.37	1	0	1	6	40	0	0	0	0	28	0	0	0.00%	0	0	0.50	0	0	0	1
9	Daniel Carr	IceHogs (CHI)	LW	13	4	3	7	6	0	0	3	17	30	9	22	13.33%	3	151	11.65	0	0	0	0	0	0	0	0	0	5	0	0	41.67%	12	0	0.92	0	0	0	1
10	Joona Koppanen	IceHogs (CHI)	LW	13	2	5	7	-6	6	0	22	18	32	8	34	6.25%	6	231	17.78	0	2	2	5	32	0	0	0	0	1	0	0	28.57%	21	0	0.61	0	0	1	0
11	Jacob Moverare	IceHogs (CHI)	D	13	0	6	6	9	2	0	5	17	4	2	3	0.00%	15	174	13.44	0	0	0	0	3	0	0	0	0	0	0	0	0.00%	0	0	0.69	0	0	0	0
12	Dylan McIlrath	IceHogs (CHI)	D	11	1	4	5	-9	13	5	50	12	23	6	13	4.35%	14	274	24.97	0	1	1	12	39	0	1	1	0	29	0	0	0.00%	0	0	0.36	1	0	0	1
13	Marc Del Gaizo	IceHogs (CHI)	D	13	1	4	5	-7	2	0	10	20	31	5	17	3.23%	16	277	21.33	1	0	1	23	49	0	0	0	0	34	0	0	0.00%	0	0	0.36	0	0	0	0
14	Nikita Pavlychev	IceHogs (CHI)	C	13	2	3	5	0	18	0	38	17	24	4	16	8.33%	5	206	15.89	0	0	0	0	0	0	0	0	0	1	0	1	39.77%	88	0	0.48	0	0	0	0
15	Colton Huard	IceHogs (CHI)	D	11	0	4	4	10	8	0	25	5	2	2	6	0.00%	6	152	13.82	0	0	0	0	0	0	0	0	0	7	0	0	0.00%	0	0	0.53	0	0	0	0
16	Mackenzie MacEachern	IceHogs (CHI)	LW	3	3	0	3	3	4	0	7	8	9	2	3	33.33%	0	54	18.24	0	0	0	1	9	0	0	0	0	0	0	0	62.50%	8	0	1.10	0	1	0	0
17	Nick Leddy	IceHogs (CHI)	D	2	0	2	2	-3	0	0	0	0	2	2	1	0.00%	7	48	24.29	0	1	1	1	6	0	0	0	0	4	0	0	0.00%	0	0	0.82	0	0	0	0
18	Travis Boyd	IceHogs (CHI)	C	13	1	1	2	1	0	0	3	3	5	2	1	20.00%	2	32	2.47	0	0	0	1	2	0	0	0	0	0	1	0	50.00%	8	0	1.25	0	0	0	0
19	Jimmy Schuldt	IceHogs (CHI)	D	13	0	0	0	-1	0	0	13	1	5	2	0	0.00%	7	78	6.07	0	0	0	0	0	0	0	0	0	4	0	0	0.00%	0	0	0.00	0	0	0	0
20	Skyler Brind'Amour	IceHogs (CHI)	C	13	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	2	0.22	0	0	0	0	1	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0	0	0
Team Total or Average				234	52	95	147	2	93	5	350	315	489	160	367	10.63%	138	3831	16.37	13	21	34	127	454	1	2	3	9	280	7	2	50.67%	1263	2	0.77	1	6	6	5

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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	PCT	GAA	MP	PIM	GA	SA	A	EG	ST	BG
1	Matt Tomkins	IceHogs (CHI)	13	7	6	0.889	4.11	686	2	47	423	2	1	13	0
2	Trey Augustine	IceHogs (CHI)	2	0	0	0.922	3.23	93	0	5	64	0	0	0	13
Team Total or Average			15	7	6	0.893	4.00	780	2	52	487	2	1	13	13

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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
Andreas Englund	D	31	1996-01-21	No	200 Lbs	6 ft4	No	No	No	2	UFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Andrew Agozzino	LW	36	1991-01-03	No	187 Lbs	5 ft10	No	No	Yes	1	UFA	Pro & Farm	875,000$	0$	0$	No	Link / NHL Link
Colton Huard	D	26	2000-11-27	Yes	225 Lbs	6 ft4	No	No	No	4	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Daniel Carr	LW	35	1991-11-01	No	186 Lbs	6 ft0	No	No	No	4	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Dylan McIlrath	D	35	1992-04-20	No	240 Lbs	6 ft5	No	No	Yes	4	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Evgenii Dadonov	RW	38	1989-03-12	No	188 Lbs	5 ft11	No	No	Yes	2	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Hunter St. Martin	LW	22	2005-06-13	Yes	174 Lbs	6 ft1	No	No	No	4	ELC	Pro & Farm	750,001$	0$	0$	No	Link / NHL Link
Jacob Moverare	D	28	1998-08-31	No	205 Lbs	6 ft3	No	No	No	4	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Jimmy Schuldt	D	32	1995-05-11	No	203 Lbs	6 ft1	No	No	Yes	1	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Jonas Rondbjerg	RW	28	1999-03-31	No	206 Lbs	6 ft2	No	No	No	4	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Joona Koppanen	LW	29	1998-02-25	No	216 Lbs	6 ft5	No	No	No	2	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Mackenzie MacEachern	LW	33	1994-03-09	No	193 Lbs	6 ft2	No	No	Yes	1	UFA	Pro & Farm	795,000$	0$	0$	No	Link / NHL Link
Marc Del Gaizo	D	27	1999-10-11	No	188 Lbs	5 ft11	No	No	No	4	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Matt Tomkins	G	33	1994-06-19	No	191 Lbs	6 ft4	No	No	No	1	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Matthew Peca	C	34	1993-04-27	No	181 Lbs	5 ft10	No	No	Yes	4	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Nick Leddy	D	36	1991-03-20	No	205 Lbs	6 ft0	No	No	Yes	4	UFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Nikita Pavlychev	C	30	1997-03-23	No	200 Lbs	6 ft7	No	No	No	4	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Skyler Brind'Amour	C	27	1999-07-27	No	195 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Tanner Pearson	LW	34	1992-08-10	No	207 Lbs	6 ft1	No	No	Yes	4	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Travis Boyd	C	33	1993-09-14	No	190 Lbs	6 ft0	No	No	Yes	1	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Trey Augustine	G	22	2005-02-23	Yes	183 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Tyler Pitlick	C	35	1991-11-01	No	199 Lbs	6 ft2	No	No	Yes	3	UFA	Pro & Farm	975,000$	0$	0$	No	Link / NHL Link
Viktor Neuchev	LW	23	2003-10-25	No	165 Lbs	6 ft2	No	No	No	1	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
William Lagesson	D	31	1996-02-22	No	211 Lbs	6 ft2	No	No	No	4	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
24	30.75	197 Lbs	6 ft2	2.79	839,375$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Tanner Pearson	Tyler Pitlick		35	1	2	2
2	Mackenzie MacEachern	Matthew Peca	Jonas Rondbjerg	30	1	2	2
3	Joona Koppanen	Nikita Pavlychev	Travis Boyd	20	1	2	2
4	Daniel Carr	Travis Boyd		15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dylan McIlrath	Marc Del Gaizo	35	1	2	2
2	William Lagesson	Andreas Englund	30	1	2	2
3	Jacob Moverare	Colton Huard	20	1	2	2
4	Jimmy Schuldt	Dylan McIlrath	15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Tanner Pearson	Tyler Pitlick		60	1	2	2
2	Mackenzie MacEachern	Matthew Peca	Jonas Rondbjerg	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dylan McIlrath	Marc Del Gaizo	60	1	2	2
2	William Lagesson	Andreas Englund	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Tanner Pearson	60	1	2	2
2	Tyler Pitlick	Matthew Peca	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dylan McIlrath	Marc Del Gaizo	60	1	2	2
2	William Lagesson	Andreas Englund	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	Dylan McIlrath	Marc Del Gaizo	60	1	2	2
2	Tanner Pearson	40	1	2	2	William Lagesson	Andreas Englund	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Tanner Pearson	60	1	2	2
2	Tyler Pitlick	Matthew Peca	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dylan McIlrath	Marc Del Gaizo	60	1	2	2
2	William Lagesson	Andreas Englund	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Tanner Pearson	Tyler Pitlick		Dylan McIlrath	Marc Del Gaizo

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Tanner Pearson	Tyler Pitlick		Dylan McIlrath	Marc Del Gaizo

Extra Forwards
Normal	PowerPlay	Penalty Kill
Skyler Brind'Amour, Joona Koppanen, Nikita Pavlychev	Skyler Brind'Amour, Joona Koppanen	Nikita Pavlychev

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jacob Moverare, Colton Huard, Jimmy Schuldt	Jacob Moverare	Colton Huard, Jimmy Schuldt

Penalty Shots
, Tanner Pearson, Tyler Pitlick, Matthew Peca, Mackenzie MacEachern

Goalie
#1 : Matt Tomkins, #2 : Trey Augustine

Custom OT Lines Forwards
, Tanner Pearson, Tyler Pitlick, Matthew Peca, Mackenzie MacEachern, Joona Koppanen, Joona Koppanen, Nikita Pavlychev, Travis Boyd, Skyler Brind'Amour, Daniel Carr

Custom OT Lines Defensemen
Dylan McIlrath, Marc Del Gaizo, William Lagesson, Andreas Englund, Jacob Moverare

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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
13	14	W1	52	95	147	489	488	138	95	350	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
13	6	6	1	0	0	0	52	53

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	4	3	0	0	0	0	30	24

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	2	3	1	0	0	0	22	29

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	4	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
53	13	24.53%	44	15	65.91%	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
173	179	136	1	26	16	9	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
269	533	50.47%	258	500	51.60%	113	228	49.56%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
317	218	296	94	167	84

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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.
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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")
8	`?`	Wildcard for a single, non-space character.
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Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	Link
2 - 2026-09-19	13	Eagles	5	IceHogs	3	L		BoxScore
3 - 2026-09-20	21	IceHogs	2	Wild	4	L		BoxScore
5 - 2026-09-22	36	IceHogs	5	Thunderbirds	4	W	X	BoxScore
7 - 2026-09-24	50	Roadrunners	2	IceHogs	6	W		BoxScore
10 - 2026-09-27	67	Wild	2	IceHogs	4	W		BoxScore
11 - 2026-09-28	82	IceHogs	0	Heat	8	L		BoxScore
13 - 2026-09-30	96	Firebirds	2	IceHogs	4	W		BoxScore
15 - 2026-10-02	110	Canucks	5	IceHogs	4	L		BoxScore
17 - 2026-10-04	120	IceHogs	3	Roadrunners	1	W		BoxScore
19 - 2026-10-06	137	IceHogs	5	Phantoms	7	L		BoxScore
21 - 2026-10-08	148	Senators	3	IceHogs	7	W		BoxScore
23 - 2026-10-10	168	Eagles	5	IceHogs	2	L		BoxScore
24 - 2026-10-11	173	IceHogs	7	Condors	5	W		BoxScore
26 - 2026-10-13	189	IceHogs	-	Gulls	-
28 - 2026-10-15	204	IceHogs	-	Admirals	-
29 - 2026-10-16	216	Admirals	-	IceHogs	-
32 - 2026-10-19	229	Stars	-	IceHogs	-
33 - 2026-10-20	244	IceHogs	-	Penguins	-
36 - 2026-10-23	260	Penguins	-	IceHogs	-
37 - 2026-10-24	272	IceHogs	-	Thunderbirds	-
39 - 2026-10-26	283	IceHogs	-	Griffins	-
41 - 2026-10-28	297	Firebirds	-	IceHogs	-
43 - 2026-10-30	314	IceHogs	-	Moose	-
44 - 2026-10-31	326	Marlies	-	IceHogs	-
46 - 2026-11-02	339	IceHogs	-	Condors	-
48 - 2026-11-04	355	IceHogs	-	Heat	-
50 - 2026-11-06	366	Griffins	-	IceHogs	-
53 - 2026-11-09	387	Comets	-	IceHogs	-
55 - 2026-11-11	402	IceHogs	-	Barracuda	-
56 - 2026-11-12	412	Canucks	-	IceHogs	-
59 - 2026-11-15	431	Silver Knights	-	IceHogs	-
60 - 2026-11-16	439	IceHogs	-	Admirals	-
62 - 2026-11-18	454	IceHogs	-	Bruins	-
64 - 2026-11-20	466	Wolves	-	IceHogs	-
67 - 2026-11-23	483	Checkers	-	IceHogs	-
69 - 2026-11-25	502	IceHogs	-	Thunderbirds	-
71 - 2026-11-27	514	IceHogs	-	Monsters	-
72 - 2026-11-28	524	Americans	-	IceHogs	-
74 - 2026-11-30	538	IceHogs	-	Americans	-
76 - 2026-12-02	551	Wild	-	IceHogs	-
79 - 2026-12-05	570	IceHogs	-	Silver Knights	-
80 - 2026-12-06	583	Barracuda	-	IceHogs	-
82 - 2026-12-08	596	IceHogs	-	Checkers	-
84 - 2026-12-10	608	Rocket	-	IceHogs	-
86 - 2026-12-12	627	Bruins	-	IceHogs	-
88 - 2026-12-14	639	IceHogs	-	Rocket	-
90 - 2026-12-16	654	Silver Knights	-	IceHogs	-
91 - 2026-12-17	663	IceHogs	-	Wild	-
93 - 2026-12-19	680	IceHogs	-	Gulls	-
95 - 2026-12-21	694	Admirals	-	IceHogs	-
97 - 2026-12-23	705	IceHogs	-	Barracuda	-
98 - 2026-12-24	718	Monsters	-	IceHogs	-
100 - 2026-12-26	733	IceHogs	-	Firebirds	-
102 - 2026-12-28	746	Admirals	-	IceHogs	-
104 - 2026-12-30	764	IceHogs	-	Silver Knights	-
105 - 2026-12-31	772	IceHogs	-	Comets	-
107 - 2027-01-02	783	Eagles	-	IceHogs	-
110 - 2027-01-05	801	IceHogs	-	Wild	-
111 - 2027-01-06	812	Moose	-	IceHogs	-
114 - 2027-01-09	828	Stars	-	IceHogs	-
116 - 2027-01-11	844	Thunderbirds	-	IceHogs	-
118 - 2027-01-13	855	IceHogs	-	Islanders	-
120 - 2027-01-15	875	Gulls	-	IceHogs	-
123 - 2027-01-18	890	IceHogs	-	Canucks	-
125 - 2027-01-20	906	Islanders	-	IceHogs	-
126 - 2027-01-21	916	IceHogs	-	Wolves	-
129 - 2027-01-24	934	Senators	-	IceHogs	-
131 - 2027-01-26	945	IceHogs	-	Eagles	-
134 - 2027-01-29	962	Phantoms	-	IceHogs	-
136 - 2027-01-31	980	IceHogs	-	Stars	-
137 - 2027-02-01	991	Stars	-	IceHogs	-
140 - 2027-02-04	1006	IceHogs	-	Stars	-
141 - 2027-02-05	1018	IceHogs	-	Senators	-
143 - 2027-02-07	1028	Condors	-	IceHogs	-
145 - 2027-02-09	1036	IceHogs	-	Roadrunners	-
147 - 2027-02-11	1051	Thunderbirds	-	IceHogs	-
149 - 2027-02-13	1069	IceHogs	-	Eagles	-
151 - 2027-02-15	1080	Heat	-	IceHogs	-
154 - 2027-02-18	1101	IceHogs	-	Marlies	-
155 - 2027-02-19	1109	Gulls	-	IceHogs	-
159 - 2027-02-23	1132	Roadrunners	-	IceHogs	-
160 - 2027-02-24	1138	IceHogs	-	Phantoms	-
163 - 2027-02-27	1159	Roadrunners	-	IceHogs	-
164 - 2027-02-28	1166	IceHogs	-	Phantoms	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	40	20
Attendance	10,638	5,445
Attendance PCT	75.99%	77.79%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
34	2298 - 76.59%	95,432$	668,025$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
219,794$	1,007,250$	1,007,250$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	147,938$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
3,340,125$	143	9,025$	1,290,575$

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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	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
2	78	22	39	0	5	10	0	2	207	269	-62	39	14	14	0	2	7	0	2	106	123	-17	39	8	25	0	3	3	0	0	101	146	-45	66	207	360	567	2	0	0	73	74	55	2230	0	766	740	701	2606	766	337	1342	155	25	16.13%	145	34	76.55%	4	1161	2369	49.01%	1217	2576	47.24%	581	1222	47.55%	1742	1193	1955	578	1020	492
3	82	35	34	0	4	5	2	2	276	266	10	41	19	16	0	2	2	0	2	148	136	12	41	16	18	0	2	3	2	0	128	130	-2	89	276	492	768	4	2	0	80	83	107	2702	0	826	863	994	2749	764	481	1582	193	40	20.73%	197	36	81.73%	3	1450	2837	51.11%	1446	2953	48.97%	645	1349	47.81%	1871	1286	2020	612	1067	523
4	82	32	35	0	6	4	2	3	271	258	13	41	16	18	0	2	3	0	2	136	124	12	41	16	17	0	4	1	2	1	135	134	1	87	271	498	769	2	4	0	104	74	85	2786	0	917	897	932	2606	758	359	1519	127	21	16.54%	158	25	84.18%	1	1540	2892	53.25%	1508	2765	54.54%	698	1284	54.36%	1984	1391	1918	577	1064	532
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
2020	82	26	44	0	3	5	2	2	276	358	-82	41	13	22	0	1	2	2	1	134	171	-37	41	13	22	0	2	3	0	1	142	187	-45	69	276	499	775	0	1	0	108	103	60	2759	0	913	993	829	3094	896	588	1998	257	56	21.79%	240	57	76.25%	1	1353	2852	47.44%	1513	3072	49.25%	674	1398	48.21%	1843	1250	2035	615	1072	520
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
2021	82	24	36	0	8	10	3	1	256	304	-48	41	13	14	0	4	6	3	1	130	142	-12	41	11	22	0	4	4	0	0	126	162	-36	81	256	472	728	2	1	0	94	75	76	2645	0	838	873	871	2780	825	612	1964	241	49	20.33%	269	55	79.55%	1	1473	2872	51.29%	1486	3011	49.35%	692	1364	50.73%	1926	1315	1997	616	1068	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
2022	82	42	30	0	2	5	2	1	293	260	33	41	23	13	0	1	2	2	0	154	130	24	41	19	17	0	1	3	0	1	139	130	9	98	293	529	822	4	4	0	102	92	95	2953	0	970	941	1016	2568	736	584	1905	261	75	28.74%	254	59	76.77%	0	1623	3140	51.69%	1412	2789	50.63%	727	1409	51.60%	1998	1388	1881	595	1068	537
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
2023	82	46	28	0	0	3	2	3	428	386	42	41	27	12	0	0	0	1	1	237	199	38	41	19	16	0	0	3	1	2	191	187	4	102	428	753	1181	1	0	0	165	144	117	3773	0	1210	1243	1290	3370	982	722	2112	323	86	26.63%	302	87	71.19%	1	1719	3423	50.22%	1389	2987	46.50%	789	1626	48.52%	1970	1396	1966	572	1011	499
2024	82	37	28	0	3	7	3	4	303	282	21	41	19	13	0	0	4	2	3	151	138	13	41	18	15	0	3	3	1	1	152	144	8	97	303	545	848	2	2	0	110	93	94	3010	0	1010	961	1010	2928	851	845	2121	323	73	22.60%	366	68	81.42%	3	1678	3175	52.85%	1674	3192	52.44%	702	1354	51.85%	2029	1400	1891	602	1053	537
2025	82	45	27	0	3	3	3	1	337	266	71	41	24	13	0	1	1	1	1	182	142	40	41	21	14	0	2	2	2	0	155	124	31	106	337	612	949	1	2	0	123	106	102	3182	0	1042	1065	1052	2850	831	705	2056	378	84	22.22%	313	79	74.76%	7	1725	3332	51.77%	1600	3153	50.75%	733	1432	51.19%	2023	1401	1879	608	1050	534
2026	13	6	6	0	1	0	0	0	52	53	-1	7	4	3	0	0	0	0	0	30	24	6	6	2	3	0	1	0	0	0	22	29	-7	14	52	95	147	1	0	26	16	9	1	489	173	179	136	1	488	138	95	350	53	13	24.53%	44	15	65.91%	1	269	533	50.47%	258	500	51.60%	113	228	49.56%	317	218	296	94	167	84
Total Regular Season	1153	468	488	0	59	77	31	30	4083	4188	-105	577	259	218	0	26	37	19	18	2144	2051	93	576	209	270	0	33	40	12	12	1939	2137	-198	1223	4083	7326	11409	27	30	26	1492	1294	1182	40281	173	13109	13281	13293	40804	11805	8386	26636	3550	785	22.11%	3612	811	77.55%	31	21049	41844	50.30%	20713	42000	49.32%	9658	19493	49.55%	27179	18740	27722	8480	14875	7368
Playoff
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	4	0	4	0	0	0	0	0	9	14	-5	2	0	2	0	0	0	0	0	4	7	-3	2	0	2	0	0	0	0	0	5	7	-2	0	9	16	25	0	0	0	7	1	1	157	0	47	44	47	149	36	45	103	17	2	11.76%	14	3	78.57%	0	88	175	50.29%	75	149	50.34%	37	60	61.67%	113	80	97	31	55	28
2023	22	15	7	0	0	0	0	0	99	71	28	10	7	3	0	0	0	0	0	40	26	14	12	8	4	0	0	0	0	0	59	45	14	30	99	185	284	0	1	0	30	37	32	844	0	268	292	284	870	232	245	623	81	23	28.40%	109	16	85.32%	2	394	856	46.03%	437	926	47.19%	187	389	48.07%	504	344	534	163	281	138
2024	7	3	4	0	0	0	0	0	25	23	2	3	2	1	0	0	0	0	0	13	7	6	4	1	3	0	0	0	0	0	12	16	-4	6	25	43	68	0	0	0	9	7	9	270	0	96	86	87	246	78	59	165	22	5	22.73%	23	6	73.91%	0	164	292	56.16%	153	266	57.52%	71	127	55.91%	171	121	165	50	87	42
2025	5	1	4	0	0	0	0	0	12	17	-5	3	0	3	0	0	0	0	0	5	10	-5	2	1	1	0	0	0	0	0	7	7	0	2	12	19	31	0	0	0	5	2	5	190	0	64	58	64	203	61	58	134	13	5	38.46%	29	4	86.21%	0	104	208	50.00%	112	205	54.63%	48	87	55.17%	118	79	119	37	66	32
Total Playoff	60	28	32	0	0	0	0	0	215	207	8	29	14	15	0	0	0	0	0	99	88	11	31	14	17	0	0	0	0	0	116	119	-3	56	215	397	612	1	2	0	76	65	73	2209	0	735	679	756	2210	614	577	1577	212	50	23.58%	250	46	81.60%	3	1145	2348	48.76%	1182	2339	50.53%	540	1040	51.92%	1446	994	1445	449	792	392