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#	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	Anthony Richard	0	X				100.00	65	38	83	70	68	87	83	67	69	65	66	63	67	69	71	0	75	66	0
2	Isak Rosen (R)	0		X			99.00	60	36	95	66	70	86	87	65	56	62	63	61	66	62	64	0	75	64	0
3	Charles Hudon	0		X	X		100.00	59	39	72	67	68	95	83	65	74	68	62	61	69	71	73	0	75	64	0
4	Max McCormick	0		X	X		100.00	78	71	74	63	70	84	76	62	60	59	62	58	62	73	77	0	75	63	0
5	Sean Farrell (R)	0	X				100.00	55	35	94	65	64	80	81	63	69	62	60	61	65	64	66	0	75	62	0
6	Grigori Denisenko (R)	0		X			100.00	73	39	72	64	72	87	86	62	57	60	58	61	63	65	67	0	75	62	0
7	Givani Smith (R)	0			X		100.00	79	83	68	57	83	70	71	56	53	59	58	61	55	67	69	0	75	61	0
8	Francesco Pinelli (R)	0	X				100.00	62	38	84	57	71	81	86	56	62	55	58	54	56	62	64	0	75	59	0
9	Ryder Korczak (R)	0	X				100.00	58	37	88	58	67	75	81	57	62	56	55	53	54	63	65	0	75	59	0
10	Miko Matikka (R)	0			X		100.00	72	38	95	54	81	65	64	53	55	52	50	56	51	62	64	0	75	58	0
11	Dakota Mermis	0				X	100.00	65	41	75	65	74	81	76	62	30	63	60	66	50	71	73	0	75	64	0
12	Steven Santini	0				X	100.00	75	39	89	59	86	77	83	58	30	57	56	65	48	70	72	0	75	63	0
13	Ben Harpur (R)	0				X	100.00	90	56	65	58	99	68	66	57	30	56	53	63	46	70	72	0	75	62	0
14	Connor Carrick	0				X	100.00	61	43	67	64	70	94	85	63	30	62	59	57	50	71	73	0	75	62	0
15	Donovan Sebrango (R)	0				X	100.00	70	44	60	61	85	74	76	59	30	58	55	60	52	63	65	0	75	60	0
16	Topi Niemela (R)	0				X	100.00	55	37	85	61	64	67	84	59	30	62	53	55	47	63	65	0	75	60	0
17	Madison Bowey (R)	0				X	100.00	72	43	68	55	81	64	70	54	30	56	53	57	46	70	72	0	75	59	0
18	Ethan Edwards (R)	0				X	100.00	57	39	74	56	66	65	60	54	30	59	50	53	45	63	65	0	75	57	0
Scratches
1	Zach Aston-Reese	0	X	X	X		82.30	77	40	82	66	77	82	87	62	65	61	60	69	58	73	74	0	75	65	0
2	Brett Berard (R)	0		X			100.00	65	39	74	66	64	85	86	65	61	63	64	62	66	65	64	0	75	63	0
3	Mitchell Stephens	0	X				100.00	66	38	89	62	75	78	85	58	78	60	59	67	56	68	70	0	75	63	0

	TEAM AVERAGE					99.11	67	43	79	62	74	78	79	60	51	60	58	60	56	67	69	0	75	62

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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
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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.
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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	Brandon Bussi (R)	100.00	77	85	81	91	76	75	77	76	75	77	76	67	77	0	75	67	0
2	Parker Gahagen	100.00	75	78	73	79	74	73	75	74	73	75	74	72	86	0	75	66	0
Scratches

	TEAM AVERAGE	100.00	76	82	77	85	75	74	76	75	74	76	75	70	82	0	75	67

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jay Leach	68	69	64	65	69	64	80	USA	46	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	EG	HT	P/20	PSG	PSS	FL	FT	S1	S2	S3
1	Zach Aston-Reese	Wolf Pack (NYR)	C/LW/RW	56	29	43	72	15	50	0	191	142	258	67	202	11.24%	30	1267	22.64	6	11	17	41	145	0	1	1	3	124	0	0	53.73%	832	0	2	1.14	0	4	0	0	4	5	4
2	Charles Hudon	Wolf Pack (NYR)	LW/RW	58	26	33	59	13	12	0	67	155	269	87	187	9.67%	25	1357	23.41	7	8	15	49	151	1	0	1	8	225	5	1	52.12%	165	0	3	0.87	3	5	0	0	5	1	2
3	Isak Rosen	Wolf Pack (NYR)	LW	58	25	22	47	18	6	0	36	99	237	85	194	10.55%	8	1176	20.29	3	3	6	32	135	0	0	0	2	69	3	0	38.84%	121	0	0	0.80	0	5	0	0	1	4	4
4	Mitchell Stephens	Wolf Pack (NYR)	C	53	11	34	45	6	14	0	61	175	191	62	122	5.76%	15	1009	19.05	0	9	9	29	114	0	0	0	1	79	0	1	60.37%	1350	0	0	0.89	0	0	0	0	1	3	1
5	Max McCormick	Wolf Pack (NYR)	LW/RW	51	20	18	38	12	54	10	160	85	184	54	133	10.87%	15	952	18.68	2	3	5	32	117	0	0	0	0	23	4	1	52.00%	150	0	0	0.80	0	2	1	0	4	1	1
6	Anthony Richard	Wolf Pack (NYR)	C	30	14	23	37	8	14	0	35	113	132	48	112	10.61%	10	628	20.96	3	9	12	17	58	1	0	1	5	70	2	1	53.54%	932	0	1	1.18	0	1	0	0	3	2	1
7	Givani Smith	Wolf Pack (NYR)	RW	53	8	22	30	10	39	5	106	43	93	32	72	8.60%	6	601	11.34	0	0	0	0	0	0	1	1	0	7	1	2	51.22%	41	0	0	1.00	0	0	0	1	3	1	1
8	Grigori Denisenko	Wolf Pack (NYR)	LW	58	16	14	30	9	10	0	83	74	147	55	105	10.88%	15	657	11.33	1	0	1	1	2	0	0	0	0	5	2	0	37.29%	59	0	0	0.91	0	0	0	0	0	3	1
9	Connor Carrick	Wolf Pack (NYR)	D	44	11	18	29	14	8	0	43	48	77	18	44	14.29%	67	883	20.07	4	2	6	35	91	0	0	0	2	92	2	0	0.00%	0	0	1	0.66	0	0	0	0	1	2	1
10	Ben Harpur	Wolf Pack (NYR)	D	48	4	24	28	18	61	5	172	36	66	18	36	6.06%	67	951	19.83	1	6	7	28	102	0	0	0	1	113	1	2	0.00%	0	0	0	0.59	0	0	1	0	1	1	4
11	Brett Berard	Wolf Pack (NYR)	LW	32	16	12	28	13	16	0	30	50	113	35	90	14.16%	4	530	16.59	5	0	5	18	63	0	0	0	0	22	4	1	64.29%	56	0	0	1.05	1	1	0	0	2	2	2
12	Topi Niemela	Wolf Pack (NYR)	D	58	2	26	28	15	10	0	47	41	47	18	30	4.26%	50	995	17.17	0	2	2	10	80	0	1	1	1	56	0	0	0.00%	1	0	0	0.56	0	0	0	0	0	0	1
13	Dakota Mermis	Wolf Pack (NYR)	D	30	5	21	26	4	26	0	50	45	65	19	37	7.69%	59	737	24.60	2	6	8	25	67	0	0	0	2	82	0	0	0.00%	0	0	0	0.70	0	0	0	0	0	0	2
14	Sean Farrell	Wolf Pack (NYR)	C	58	9	17	26	8	2	0	3	130	131	46	107	6.87%	11	701	12.09	0	1	1	2	15	0	0	0	0	27	2	0	55.69%	835	0	0	0.74	1	3	0	0	2	0	1
15	Steven Santini	Wolf Pack (NYR)	D	58	6	19	25	5	47	5	112	54	84	18	51	7.14%	89	1227	21.16	1	3	4	28	106	0	0	0	0	149	1	0	0.00%	0	0	0	0.41	0	0	1	0	0	1	4
16	Simon Nemec	Rangers	D	25	7	16	23	15	12	0	31	41	50	16	38	14.00%	35	614	24.59	2	1	3	27	74	0	0	0	1	45	1	0	0.00%	0	1	0	0.75	0	0	0	0	0	3	0
17	Donovan Sebrango	Wolf Pack (NYR)	D	36	3	12	15	13	30	0	76	17	29	10	25	10.34%	35	417	11.60	0	0	0	0	5	0	0	0	0	10	0	0	14.29%	7	0	0	0.72	0	0	0	0	0	1	0
18	Francesco Pinelli	Wolf Pack (NYR)	C	38	5	10	15	-8	8	0	25	59	69	18	50	7.25%	16	596	15.71	0	0	0	0	0	0	0	0	0	0	1	1	49.59%	363	0	0	0.50	0	0	0	0	1	0	2
19	Madison Bowey	Wolf Pack (NYR)	D	58	2	12	14	1	30	0	91	24	25	11	20	8.00%	42	713	12.31	0	0	0	1	5	0	0	0	0	74	0	0	100.00%	1	0	0	0.39	0	0	0	0	0	0	0
20	Ethan Edwards	Wolf Pack (NYR)	D	9	2	3	5	3	8	0	19	2	5	1	1	40.00%	6	97	10.80	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	1.03	0	0	0	0	0	1	1
21	Ryder Korczak	Wolf Pack (NYR)	C	23	1	4	5	-3	0	0	5	29	27	11	23	3.70%	2	164	7.14	0	0	0	0	0	0	0	0	0	0	1	0	50.80%	187	0	0	0.61	0	0	0	0	0	1	0
22	Miko Matikka	Wolf Pack (NYR)	RW	22	1	4	5	4	4	0	19	12	20	9	11	5.00%	2	186	8.49	0	0	0	1	0	0	0	0	0	0	0	0	51.92%	52	0	0	0.54	0	0	0	0	0	1	0
Team Total or Average				956	223	407	630	193	461	25	1462	1474	2319	738	1690	9.62%	609	16471	17.23	37	64	101	376	1339	2	3	5	26	1280	30	10	54.74%	5152	1	7	0.76	5	21	3	1	28	33	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	PIM	SO	GA	SA	A	PS %	PSA	ST	BG	S1	S2	S3
1	Brandon Bussi	Wolf Pack (NYR)	42	22	17	1	0.903	3.28	2325	0	1	127	1307	0	0.800	5	41	17	3	2	3
2	Parker Gahagen	Wolf Pack (NYR)	23	9	3	6	0.908	3.10	1200	2	0	62	671	3	0.688	16	17	41	0	1	0
Team Total or Average			65	31	20	7	0.904	3.22	3526	2	1	189	1978	3	0.714	21	58	58	3	3	3

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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
Anthony Richard	C	28	1996-12-20	No	185 Lbs	5 ft10	No	No	No	2	UFA	Pro & Farm	974,800$	0$	0$	No	Link / NHL Link
Ben Harpur	D	30	1995-01-12	Yes	231 Lbs	6 ft6	No	No	No	3	UFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Brandon Bussi	G	27	1998-06-25	Yes	209 Lbs	6 ft5	No	No	No	2	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Brett Berard	LW	23	2002-09-09	Yes	175 Lbs	5 ft9	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Charles Hudon	LW/RW	31	1994-06-23	No	190 Lbs	5 ft10	No	No	No	2	UFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Connor Carrick	D	31	1994-04-13	No	198 Lbs	5 ft10	No	No	No	1	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Dakota Mermis	D	31	1994-01-05	No	197 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Donovan Sebrango	D	23	2002-01-12	Yes	221 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Ethan Edwards	D	23	2002-06-06	Yes	176 Lbs	5 ft10	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Francesco Pinelli	C	22	2003-04-11	Yes	185 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Givani Smith	RW	27	1998-02-27	Yes	214 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Grigori Denisenko	LW	25	2000-06-24	Yes	198 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Isak Rosen	LW	22	2003-03-15	Yes	180 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Madison Bowey	D	30	1995-04-22	Yes	202 Lbs	6 ft2	No	No	No	3	UFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Max McCormick	LW/RW	33	1992-05-01	No	188 Lbs	5 ft11	No	No	No	1	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Miko Matikka	RW	21	2003-10-26	Yes	187 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Mitchell Stephens	C	28	1997-02-05	No	203 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Parker Gahagen	G	32	1993-05-17	No	195 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	780,000$	0$	0$	No	Link / NHL Link
Ryder Korczak	C	23	2002-09-23	Yes	171 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Sean Farrell	C	23	2001-11-02	Yes	175 Lbs	5 ft9	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Steven Santini	D	30	1995-03-07	No	214 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Topi Niemela	D	23	2002-03-25	Yes	156 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Zach Aston-Reese (Out of Payroll)	C/LW/RW	31	1994-08-10	No	200 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	999,999$	0$	0$	Yes	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	26.83	193 Lbs	6 ft0	1.87	933,904$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Isak Rosen	Anthony Richard	Charles Hudon	40	1	2	2
2	Max McCormick			30	1	2	2
3	Grigori Denisenko	Sean Farrell	Givani Smith	20	1	2	2
4	Miko Matikka	Ryder Korczak	Francesco Pinelli	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dakota Mermis	Steven Santini	40	1	2	2
2	Ben Harpur	Connor Carrick	30	1	2	2
3	Madison Bowey	Topi Niemela	20	1	2	2
4	Steven Santini	Dakota Mermis	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Isak Rosen	Anthony Richard		60	1	2	2
2	Charles Hudon		Max McCormick	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dakota Mermis	Steven Santini	60	1	2	2
2	Ben Harpur	Connor Carrick	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Charles Hudon	60	1	2	2
2		Isak Rosen	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dakota Mermis	Steven Santini	60	1	2	2
2	Ben Harpur	Connor Carrick	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	Dakota Mermis	Steven Santini	60	1	2	2
2		40	1	2	2	Ben Harpur	Connor Carrick	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Max McCormick	60	1	2	2
2		Isak Rosen	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dakota Mermis	Steven Santini	60	1	2	2
2	Ben Harpur	Connor Carrick	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Isak Rosen	Sean Farrell		Dakota Mermis	Steven Santini

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Charles Hudon		Givani Smith	Dakota Mermis	Steven Santini

Extra Forwards
Normal	PowerPlay	Penalty Kill
Isak Rosen, , Grigori Denisenko	Isak Rosen,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Dakota Mermis, Topi Niemela, Madison Bowey	Steven Santini	Ben Harpur, Topi Niemela

Penalty Shots
Anthony Richard, Charles Hudon, Isak Rosen, Max McCormick, Miko Matikka

Goalie
#1 : Parker Gahagen, #2 : Brandon Bussi

Custom OT Lines Forwards
Anthony Richard, Charles Hudon, Isak Rosen, , Max McCormick, , , Grigori Denisenko, Sean Farrell, Givani Smith, Ryder Korczak

Custom OT Lines Defensemen
Dakota Mermis, Steven Santini, Ben Harpur, Connor Carrick, Topi Niemela

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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.
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9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
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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
60	69	L1	226	405	631	2360	2115	654	478	1558	0	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
60	25	22	4	4	2	3	226	207

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
28	9	10	4	2	1	2	100	101

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
32	16	12	0	2	1	1	126	106

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	5	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
176	36	20.45%	207	42	79.71%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
743	764	825	49	77	85	58	9

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1259	2329	54.06%	1182	2222	53.20%	515	951	54.15%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1500	1061	1392	430	759	380

Last Played Games Show or Hide Column

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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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
1 - 2025-10-07	2	Penguins	7	Wolf Pack	2	L			BoxScore
3 - 2025-10-09	9	Wolf Pack	4	Americans	8	L			BoxScore
5 - 2025-10-11	29	Wolf Pack	5	Penguins	4	W			BoxScore
6 - 2025-10-12	38	Bears	5	Wolf Pack	3	L			BoxScore
8 - 2025-10-14	51	Condors	5	Wolf Pack	4	L			BoxScore
10 - 2025-10-16	61	Wolf Pack	2	Marlies	1	W			BoxScore
12 - 2025-10-18	80	Wolf Pack	8	Rocket	2	W			BoxScore
14 - 2025-10-20	93	Wild	2	Wolf Pack	5	W			BoxScore
17 - 2025-10-23	116	Barracuda	2	Wolf Pack	3	W			BoxScore
20 - 2025-10-26	146	Wolf Pack	5	Wranglers	2	W			BoxScore
22 - 2025-10-28	163	Wolf Pack	3	Comets	4	L			BoxScore
24 - 2025-10-30	175	Wolf Pack	4	Condors	5	L	X		BoxScore
26 - 2025-11-01	193	Wolf Pack	2	Firebirds	6	L			BoxScore
29 - 2025-11-04	206	Wolves	4	Wolf Pack	1	L			BoxScore
32 - 2025-11-07	227	Wolf Pack	3	Griffins	4	L			BoxScore
33 - 2025-11-08	237	Sound Tigers	6	Wolf Pack	4	L			BoxScore
35 - 2025-11-10	253	Admirals	2	Wolf Pack	4	W			BoxScore
37 - 2025-11-12	265	Wolf Pack	6	Crunch	1	W			BoxScore
40 - 2025-11-15	290	Wolf Pack	0	Monsters	1	L	X		BoxScore
41 - 2025-11-16	299	Griffins	2	Wolf Pack	4	W			BoxScore
43 - 2025-11-18	313	Wolf Pack	8	Silver Knights	2	W			BoxScore
45 - 2025-11-20	326	Wolf Pack	3	Eagles	4	L			BoxScore
47 - 2025-11-22	344	Wolf Pack	1	Roadrunners	4	L			BoxScore
49 - 2025-11-24	355	Thunderbirds	3	Wolf Pack	6	W			BoxScore
51 - 2025-11-26	368	Wolf Pack	2	Wolves	7	L			BoxScore
53 - 2025-11-28	377	Wolf Pack	3	Bruins	6	L			BoxScore
54 - 2025-11-29	391	Crunch	6	Wolf Pack	5	L	X		BoxScore
57 - 2025-12-02	414	Stars	2	Wolf Pack	5	W			BoxScore
59 - 2025-12-04	427	Wolf Pack	5	Senators	4	W			BoxScore
61 - 2025-12-06	441	Eagles	2	Wolf Pack	1	L	X		BoxScore
62 - 2025-12-07	458	Silver Knights	3	Wolf Pack	6	W			BoxScore
65 - 2025-12-10	476	Wolf Pack	3	IceHogs	4	L	X	X	BoxScore
68 - 2025-12-13	500	Rocket	5	Wolf Pack	4	L	X	X	BoxScore
70 - 2025-12-15	515	Gulls	5	Wolf Pack	0	L			BoxScore
71 - 2025-12-16	523	Comets	4	Wolf Pack	3	L	X	X	BoxScore
73 - 2025-12-18	541	Wolf Pack	7	Thunderbirds	4	W			BoxScore
75 - 2025-12-20	549	Phantoms	3	Wolf Pack	4	W	X		BoxScore
76 - 2025-12-21	567	Wolf Pack	2	Admirals	1	W	X	X	BoxScore
78 - 2025-12-23	577	Wolf Pack	3	Bears	1	W			BoxScore
82 - 2025-12-27	588	Wolf Pack	3	Sound Tigers	1	W			BoxScore
84 - 2025-12-29	608	Wolf Pack	3	Wolves	4	L			BoxScore
86 - 2025-12-31	622	Wolf Pack	8	Bears	3	W			BoxScore
88 - 2026-01-02	641	Wolf Pack	4	Checkers	3	W			BoxScore
91 - 2026-01-05	662	Roadrunners	1	Wolf Pack	4	W			BoxScore
94 - 2026-01-08	685	Americans	4	Wolf Pack	5	W	X		BoxScore
96 - 2026-01-10	697	Wolf Pack	2	Bruins	3	L			BoxScore
98 - 2026-01-12	718	Firebirds	3	Wolf Pack	4	W	X		BoxScore
100 - 2026-01-14	737	Senators	4	Wolf Pack	3	L			BoxScore
103 - 2026-01-17	755	Wolf Pack	5	Phantoms	4	W			BoxScore
105 - 2026-01-19	779	Wolf Pack	6	Gulls	3	W			BoxScore
106 - 2026-01-20	787	Wolf Pack	5	Reign	0	W			BoxScore
109 - 2026-01-23	808	Wolf Pack	1	Barracuda	4	L			BoxScore
112 - 2026-01-26	826	Bruins	6	Wolf Pack	5	L			BoxScore
114 - 2026-01-28	842	Wolf Pack	3	Sound Tigers	4	L			BoxScore
115 - 2026-01-29	848	Sound Tigers	2	Wolf Pack	3	W			BoxScore
117 - 2026-01-31	861	Wolf Pack	7	Penguins	2	W			BoxScore
122 - 2026-02-05	905	Wolves	1	Wolf Pack	2	W	X	X	BoxScore
143 - 2026-02-26	924	Phantoms	4	Wolf Pack	3	L			BoxScore
145 - 2026-02-28	934	Penguins	5	Wolf Pack	6	W	X		BoxScore
147 - 2026-03-02	953	Monsters	3	Wolf Pack	1	L			BoxScore
150 - 2026-03-05	975	Marlies	-	Wolf Pack	-
152 - 2026-03-07	991	Wolf Pack	-	Devils	-
154 - 2026-03-09	1008	Wolf Pack	-	Phantoms	-
155 - 2026-03-10	1017	Wranglers	-	Wolf Pack	-
157 - 2026-03-12	1036	Wolf Pack	-	Moose	-
159 - 2026-03-14	1046	Wolf Pack	-	Wild	-
161 - 2026-03-16	1065	Reign	-	Wolf Pack	-
163 - 2026-03-18	1077	Devils	-	Wolf Pack	-
164 - 2026-03-19	1086	Wolf Pack	-	Monsters	-
167 - 2026-03-22	1110	Moose	-	Wolf Pack	-
168 - 2026-03-23	1119	Senators	-	Wolf Pack	-
170 - 2026-03-25	1136	Wolf Pack	-	Marlies	-
172 - 2026-03-27	1151	IceHogs	-	Wolf Pack	-
Trade Deadline --- Trades can’t be done after this day is simulated!
174 - 2026-03-29	1167	Checkers	-	Wolf Pack	-
176 - 2026-03-31	1182	Devils	-	Wolf Pack	-
178 - 2026-04-02	1194	Rocket	-	Wolf Pack	-
180 - 2026-04-04	1207	Griffins	-	Wolf Pack	-
181 - 2026-04-05	1227	Bears	-	Wolf Pack	-
184 - 2026-04-08	1244	Americans	-	Wolf Pack	-
187 - 2026-04-11	1268	Wolf Pack	-	Stars	-
189 - 2026-04-13	1283	Wolf Pack	-	Checkers	-
191 - 2026-04-15	1302	Wolf Pack	-	Crunch	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	25	15
Attendance	55,488	27,926
Attendance PCT	99.09%	99.74%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
-18	2979 - 99.30%	80,629$	2,257,613$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,962,882$	2,047,980$	2,047,980$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	1,570,241$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
-1,451,323$	45	13,271$	597,195$

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
2024	82	38	27	0	8	9	0	0	294	260	34	41	18	15	0	5	3	0	0	148	140	8	41	20	12	0	3	6	0	0	146	120	26	101	294	527	821	0	2	113	92	81	8	3001	976	985	1006	34	2795	806	640	2052	279	59	21.15%	278	68	75.54%	4	1564	3091	50.60%	1538	3004	51.20%	696	1349	51.59%	1956	1337	1931	615	1072	530
2025	60	25	22	0	4	4	2	3	226	207	19	28	9	10	0	4	2	1	2	100	101	-1	32	16	12	0	0	2	1	1	126	106	20	69	226	405	631	0	1	77	85	58	9	2360	743	764	825	49	2115	654	478	1558	176	36	20.45%	207	42	79.71%	2	1259	2329	54.06%	1182	2222	53.20%	515	951	54.15%	1500	1061	1392	430	759	380
Total Regular Season	142	63	49	0	12	13	2	3	520	467	53	69	27	25	0	9	5	1	2	248	241	7	73	36	24	0	3	8	1	1	272	226	46	170	520	932	1452	0	3	190	177	139	17	5361	1719	1749	1831	83	4910	1460	1118	3610	455	95	20.88%	485	110	77.32%	6	2823	5420	52.08%	2720	5226	52.05%	1211	2300	52.65%	3456	2398	3323	1045	1831	910
Playoff
2024	12	7	5	0	0	0	0	0	46	38	8	7	4	3	0	0	0	0	0	26	21	5	5	3	2	0	0	0	0	0	20	17	3	14	46	83	129	0	0	16	11	18	1	459	140	146	140	33	387	104	81	299	50	8	16.00%	37	4	89.19%	1	233	491	47.45%	245	463	52.92%	105	212	49.53%	318	220	290	95	167	85
Total Playoff	12	7	5	0	0	0	0	0	46	38	8	7	4	3	0	0	0	0	0	26	21	5	5	3	2	0	0	0	0	0	20	17	3	14	46	83	129	0	0	16	11	18	1	459	140	146	140	33	387	104	81	299	50	8	16.00%	37	4	89.19%	1	233	491	47.45%	245	463	52.92%	105	212	49.53%	318	220	290	95	167	85