LHSDB - Ligue de hockey simulee des debiles barbus

New York Rangers
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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	Chris Terry	0		X	X		100.00	60	39	77	66	69	95	84	65	74	68	63	62	65	76	78	28	50	66	0
2	Riley Tufte	0		X	X		100.00	84	79	68	63	98	87	85	64	65	60	62	65	61	68	69	70	50	66	0
3	Ryan Suzuki	0	X	X			100.00	67	38	89	65	77	78	83	62	74	63	58	62	61	64	66	78	50	63	0
4	Cameron Hebig	0	X	X	X		100.00	60	38	83	63	69	85	84	64	67	63	62	61	64	68	70	36	50	63	0
5	T.J. Tynan (A)	0	X		X		100.00	60	38	69	64	60	73	85	62	73	66	57	59	63	73	75	39	50	62	0
6	Graeme Clarke	0		X	X		100.00	68	37	84	59	69	91	85	57	60	58	59	56	55	65	64	62	50	61	0
7	Bogdan Trineyev	0		X	X		100.00	74	39	90	57	83	80	83	56	52	54	58	59	57	63	65	59	50	60	0
8	Dylan Peterson	0	X		X		100.00	76	44	63	59	85	82	69	56	65	57	58	55	59	63	65	62	50	60	0
9	Henri Nikkanen	0	X				100.00	77	38	93	57	86	67	72	55	63	56	54	58	55	64	66	58	50	59	0
10	Jacob Bryson	0				X	100.00	61	33	93	67	65	82	77	63	30	71	58	70	51	69	70	52	50	66	0
11	Kaedan Korczak	0				X	100.00	74	42	87	64	84	83	77	62	30	68	58	63	52	64	66	72	50	66	0
12	Dakota Mermis	0				X	100.00	65	41	75	65	74	81	76	62	30	63	60	66	50	71	73	34	50	65	0
13	Jack Thompson	0				X	100.00	64	37	92	66	75	84	83	65	30	67	63	62	54	63	65	61	50	65	0
14	Derrick Pouliot	5				X	100.00	69	39	78	65	78	77	86	63	30	64	55	62	49	72	73	68	50	65	0
15	Austin Strand	0				X	100.00	77	42	73	59	86	67	80	58	30	57	54	59	46	68	70	36	50	63	0
16	Hunter Drew	0			X	X	100.00	70	53	50	61	79	75	77	59	30	57	60	58	51	67	69	42	50	60	0
17	Maximus Wanner	0				X	100.00	71	41	78	56	80	68	79	55	30	54	53	57	45	62	64	49	50	60	0
18	Wyatte Wylie	0				X	100.00	66	38	91	58	72	67	79	57	30	56	54	55	46	66	68	55	50	60	0
Scratches
1	Dyllan Gill	0				X	100.00	73	39	92	56	82	63	64	57	30	54	54	58	45	61	63	49	50	59	0
2	Chad Nychuk	0				X	100.00	66	40	76	55	76	65	66	54	30	53	52	56	45	64	66	43	50	58	0
3	Case McCarthy	0				X	100.00	68	37	95	54	77	62	63	53	30	52	50	55	45	64	66	58	50	57	0

	TEAM AVERAGE					100.00	69	42	81	61	77	77	78	59	45	60	57	60	53	66	68	53	50	62

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Priority	Type	Description
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#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Garin Bjorklund	100.00	77	70	66	75	76	75	77	76	75	77	76	63	69	49	50	72	0
2	Cameron Whitehead	100.00	61	71	67	77	60	59	61	60	59	61	60	62	67	58	50	62	0
Scratches

	TEAM AVERAGE	100.00	69	71	67	76	68	67	69	68	67	69	68	63	68	54	50	67

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Ryan Huska	81	84	83	80	75	70	76	CAN	50	9	1,000,000$

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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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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	P/20	PSG	PSS	FW	FT	S1	S2	S3
1	Chris Terry	Wolfpack (NYR)	LW/RW	51	13	29	42	15	11	5	22	75	144	39	119	9.03%	8	1229	24.11	3	11	14	40	267	1	0	1	9	172	1	1	60.19%	103	0.68	0	5	0	1	5	2	2
2	Dakota Mermis	Wolfpack (NYR)	D	52	6	35	41	18	62	0	61	52	89	23	55	6.74%	54	1180	22.70	4	8	12	69	227	0	0	0	1	214	0	1	0.00%	0	0.69	0	0	0	0	1	3	4
3	Ryan Suzuki	Wolfpack (NYR)	C/LW	52	14	23	37	6	8	0	40	105	119	31	69	11.76%	10	1073	20.64	4	8	12	35	225	0	1	1	2	163	4	1	57.30%	1007	0.69	0	1	0	0	4	1	4
4	Jacob Bryson	Wolfpack (NYR)	D	52	7	27	34	4	48	0	64	83	93	29	67	7.53%	49	1240	23.85	6	14	20	80	264	0	1	1	0	236	0	1	0.00%	0	0.55	0	0	0	0	2	3	1
5	Cameron Hebig	Wolfpack (NYR)	C/LW/RW	52	16	18	34	5	8	0	29	106	138	28	89	11.59%	5	1144	22.01	4	7	11	32	230	0	0	0	1	182	7	1	56.27%	510	0.59	0	5	0	0	5	2	1
6	Kaedan Korczak	Wolfpack (NYR)	D	52	11	18	29	23	53	5	94	43	95	22	53	11.58%	38	1178	22.67	7	2	9	69	225	0	0	0	2	215	2	0	100.00%	1	0.49	0	0	0	1	2	3	3
7	Jack Thompson	Wolfpack (NYR)	D	45	6	20	26	0	42	0	68	29	75	18	56	8.00%	38	1042	23.16	5	9	14	60	237	0	0	0	0	188	0	0	0.00%	0	0.50	0	0	0	0	0	0	3
8	Riley Tufte	Wolfpack (NYR)	LW/RW	52	14	12	26	15	84	10	168	42	129	42	96	10.85%	11	1104	21.23	4	5	9	34	243	0	0	0	6	245	5	1	69.88%	83	0.47	1	3	0	2	3	5	1
9	T.J. Tynan	Wolfpack (NYR)	C/RW	49	12	12	24	4	18	0	42	79	87	28	59	13.79%	3	834	17.03	4	7	11	19	240	0	0	0	1	31	3	2	55.28%	919	0.58	0	0	0	0	3	0	1
10	Graeme Clarke	Wolfpack (NYR)	LW/RW	52	10	14	24	13	30	0	48	23	82	18	48	12.20%	5	808	15.56	1	6	7	16	125	0	0	0	0	3	1	1	64.86%	37	0.59	0	0	0	0	0	2	4
11	Hunter Drew	Wolfpack (NYR)	RW/D	48	13	6	19	4	73	5	78	25	70	12	39	18.57%	5	595	12.40	2	0	2	3	16	0	0	0	0	43	1	0	39.39%	33	0.64	0	0	1	0	1	4	0
12	Derrick Pouliot	Wolfpack (NYR)	D	52	2	13	15	7	29	5	34	39	25	7	9	8.00%	34	692	13.31	0	1	1	1	2	0	0	0	0	5	1	0	0.00%	0	0.43	0	0	0	0	0	0	1
13	Henri Nikkanen	Wolfpack (NYR)	C	52	3	7	10	7	16	0	18	25	26	5	22	11.54%	2	321	6.19	0	0	0	0	11	0	0	0	0	0	0	0	55.88%	272	0.62	0	0	0	0	0	2	0
14	Austin Strand	Wolfpack (NYR)	D	52	2	8	10	8	74	0	83	26	21	12	9	9.52%	24	723	13.92	0	1	1	0	7	0	0	0	0	17	1	0	0.00%	1	0.28	0	0	0	0	0	0	1
15	Bogdan Trineyev	Wolfpack (NYR)	LW/RW	49	3	4	7	4	24	0	35	23	40	19	41	7.50%	4	565	11.53	0	0	0	0	3	0	0	0	0	0	2	0	48.57%	35	0.25	0	0	0	0	0	0	2
16	Dylan Peterson	Wolfpack (NYR)	C/RW	52	3	3	6	6	55	5	62	13	43	8	29	6.98%	2	475	9.14	0	0	0	2	9	0	0	0	0	1	0	0	51.85%	27	0.25	0	1	1	0	1	0	0
17	Brock McGinn	New York Rangers	LW/RW	6	2	1	3	1	4	0	5	19	13	4	10	15.38%	2	99	16.62	1	0	1	2	21	0	0	0	0	0	0	0	47.27%	110	0.60	0	0	0	0	1	0	1
18	Maximus Wanner	Wolfpack (NYR)	D	25	1	0	1	3	8	0	10	4	10	4	8	10.00%	1	153	6.14	0	0	0	0	0	0	0	0	0	0	0	0	25.00%	4	0.13	0	0	0	0	0	0	0
Team Total or Average				845	138	250	388	143	647	35	961	811	1299	349	878	10.62%	295	14463	17.12	45	79	124	462	2361	1	2	3	22	1722	28	9	56.21%	3142	0.54	1	15	2	4	28	27	29

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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	PS %	PSA	ST	BG	S1	S2	S3
1	Garin Bjorklund	Wolfpack (NYR)	46	26	15	4	0.903	1.92	2620	4	84	870	0.818	11	46	0	2	3	2
2	Cameron Whitehead	Wolfpack (NYR)	10	3	2	2	0.886	2.11	512	1	18	158	0.429	7	6	52	1	0	0
Team Total or Average			56	29	17	6	0.901	1.95	3132	5	102	1028	0.667	18	52	52	3	3	2

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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`)
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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.
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
Austin Strand	D	29	1997-02-17	No	215 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Bogdan Trineyev	LW/RW	23	2002-03-04	No	198 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Cameron Hebig	C/LW/RW	29	1997-01-21	No	184 Lbs	5 ft11	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Cameron Whitehead	G	22	2003-06-13	No	170 Lbs	6 ft3	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	Link
Case McCarthy	D	25	2001-01-09	No	198 Lbs	6 ft1	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Chad Nychuk	D	24	2001-03-06	No	194 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Chris Terry	LW/RW	36	1989-04-07	No	191 Lbs	5 ft10	No	No	No	2	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Dakota Mermis	D	32	1994-01-05	No	197 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Derrick Pouliot	D	32	1994-01-16	No	204 Lbs	6 ft1	No	No	No	3	UFA	Pro & Farm	401,000$	0$	0$	No	Link / NHL Link
Dylan Peterson	C/RW	24	2002-01-08	No	192 Lbs	6 ft4	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Dyllan Gill	D	21	2004-06-07	No	194 Lbs	6 ft3	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	Link
Garin Bjorklund	G	23	2002-05-28	No	174 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Graeme Clarke	LW/RW	24	2001-04-24	No	175 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Henri Nikkanen	C	24	2001-04-28	No	200 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Hunter Drew	RW/D	27	1998-10-21	No	191 Lbs	6 ft2	No	No	No	3	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Jack Thompson	D	23	2002-03-19	No	189 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Jacob Bryson	D	28	1997-11-18	No	177 Lbs	5 ft9	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Kaedan Korczak	D	25	2001-01-29	No	203 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Maximus Wanner	D	22	2003-03-12	No	185 Lbs	6 ft3	No	No	No	3	ELC	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Riley Tufte	LW/RW	27	1998-04-10	No	230 Lbs	6 ft6	No	No	No	3	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Ryan Suzuki	C/LW	24	2001-05-28	No	196 Lbs	6 ft1	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
T.J. Tynan	C/RW	34	1992-02-25	No	160 Lbs	5 ft8	No	No	No	1	UFA	Pro & Farm	451,000$	0$	0$	No	Link / NHL Link
Wyatte Wylie	D	26	1999-11-02	No	190 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	26.26	192 Lbs	6 ft1	2.52	345,739$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Riley Tufte	T.J. Tynan	Chris Terry	40	0	2	3
2	Graeme Clarke	Ryan Suzuki	Dylan Peterson	34	1	2	2
3	Bogdan Trineyev	Cameron Hebig	Hunter Drew	24	1	2	2
4	Maximus Wanner	Henri Nikkanen	Chris Terry	2	1	3	1

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jacob Bryson	Jack Thompson	40	1	2	2
2	Kaedan Korczak	Dakota Mermis	40	1	2	2
3	Austin Strand	Derrick Pouliot	20	1	3	1
4	Jacob Bryson	Kaedan Korczak	0	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Riley Tufte	T.J. Tynan	Chris Terry	60	0	0	5
2	Graeme Clarke	Ryan Suzuki	Cameron Hebig	40	1	0	4

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jacob Bryson	Jack Thompson	60	1	1	3
2	Kaedan Korczak	Dakota Mermis	40	1	1	3

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Cameron Hebig	Riley Tufte	60	1	4	0
2	Ryan Suzuki	Chris Terry	40	1	4	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jacob Bryson	Jack Thompson	50	1	4	0
2	Kaedan Korczak	Dakota Mermis	50	1	4	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Cameron Hebig	50	1	4	0	Jacob Bryson	Riley Tufte	50	1	4	0
2	Ryan Suzuki	50	1	4	0	Kaedan Korczak	Dakota Mermis	50	1	4	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Ryan Suzuki	Riley Tufte	50	1	2	2
2	T.J. Tynan	Chris Terry	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jacob Bryson	Jack Thompson	50	1	2	2
2	Kaedan Korczak	Dakota Mermis	50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Riley Tufte	T.J. Tynan	Chris Terry	Jacob Bryson	Jack Thompson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Riley Tufte	Ryan Suzuki	Cameron Hebig	Jacob Bryson	Dakota Mermis

Extra Forwards
Normal	PowerPlay	Penalty Kill
T.J. Tynan, Chris Terry, Ryan Suzuki	Ryan Suzuki, T.J. Tynan	Cameron Hebig

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jacob Bryson, Kaedan Korczak, Jack Thompson	Jack Thompson	Jacob Bryson, Dakota Mermis

Penalty Shots
Riley Tufte, Cameron Hebig, Chris Terry, Ryan Suzuki, Dylan Peterson

Goalie
#1 : Garin Bjorklund, #2 : Cameron Whitehead

Custom OT Lines Forwards
, , , , , , , , Riley Tufte, ,

Custom OT Lines Defensemen
, Dakota Mermis, , ,

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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.
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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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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
52	64	L2	145	265	410	1352	1032	299	649	966	0	5

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
52	28	17	0	2	1	4	145	109

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
26	13	8	0	1	1	3	79	57

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
26	15	9	0	1	0	1	66	52

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
300	45	15.00%	279	37	86.74%	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
459	448	432	31	65	40	39	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
938	1633	57.44%	749	1364	54.91%	409	719	56.88%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1439	1025	1080	360	629	339

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
9 - 2025-08-23	16	Wolfpack	2	Phantoms	1	W			BoxScore
15 - 2025-08-29	32	Thunderbirds	1	Wolfpack	5	W			BoxScore
16 - 2025-08-30	45	Islanders	3	Wolfpack	4	W	X	X	BoxScore
17 - 2025-08-31	58	Wolfpack	3	Islanders	4	L	X	X	BoxScore
22 - 2025-09-05	70	Phantoms	3	Wolfpack	1	L			BoxScore
24 - 2025-09-07	99	Thunderbirds	2	Wolfpack	1	L			BoxScore
27 - 2025-09-10	104	Griffins	0	Wolfpack	3	W			BoxScore
29 - 2025-09-12	112	Wolfpack	6	Crunch	2	W			BoxScore
30 - 2025-09-13	122	Wolfpack	0	Penguins	2	L			BoxScore
34 - 2025-09-17	142	Crunch	1	Wolfpack	3	W			BoxScore
36 - 2025-09-19	153	Wolfpack	0	Americans	1	L			BoxScore
38 - 2025-09-21	172	Wolfpack	3	Bruins	1	W			BoxScore
43 - 2025-09-26	190	Checkers	0	Wolfpack	5	W			BoxScore
44 - 2025-09-27	203	Bruins	4	Wolfpack	2	L			BoxScore
47 - 2025-09-30	220	Checkers	1	Wolfpack	9	W			BoxScore
51 - 2025-10-04	245	Thunderbirds	3	Wolfpack	4	W			BoxScore
52 - 2025-10-05	255	Islanders	3	Wolfpack	2	L	X	X	BoxScore
55 - 2025-10-08	261	Phantoms	4	Wolfpack	3	L	X	X	BoxScore
58 - 2025-10-11	280	Wolfpack	0	Thunderbirds	7	L			BoxScore
62 - 2025-10-15	301	Wolfpack	3	Islanders	0	W			BoxScore
64 - 2025-10-17	308	IceHogs	4	Wolfpack	5	W			BoxScore
65 - 2025-10-18	319	Penguins	3	Wolfpack	1	L			BoxScore
69 - 2025-10-22	343	Bears	1	Wolfpack	4	W			BoxScore
72 - 2025-10-25	362	Rocket	1	Wolfpack	4	W			BoxScore
73 - 2025-10-26	377	Wolfpack	4	Bruins	3	W			BoxScore
78 - 2025-10-31	398	Bruins	4	Wolfpack	3	L			BoxScore
79 - 2025-11-01	417	Wolfpack	5	Bruins	1	W			BoxScore
85 - 2025-11-07	432	Wolfpack	0	Thunderbirds	1	L			BoxScore
86 - 2025-11-08	440	Bruins	2	Wolfpack	1	L	X		BoxScore
89 - 2025-11-11	459	Wolfpack	1	Thunderbirds	2	L	X		BoxScore
93 - 2025-11-15	483	Wolfpack	3	Penguins	1	W			BoxScore
94 - 2025-11-16	493	Wolfpack	2	Islanders	1	W			BoxScore
99 - 2025-11-21	515	Wolfpack	2	Phantoms	1	W			BoxScore
100 - 2025-11-22	524	Phantoms	2	Wolfpack	1	L			BoxScore
101 - 2025-11-23	537	Thunderbirds	0	Wolfpack	3	W			BoxScore
104 - 2025-11-26	549	Wolfpack	1	Comets	2	L			BoxScore
107 - 2025-11-29	565	Wolfpack	5	Checkers	2	W			BoxScore
108 - 2025-11-30	581	Wolfpack	5	Checkers	1	W			BoxScore
113 - 2025-12-05	602	Rocket	1	Wolfpack	2	W			BoxScore
114 - 2025-12-06	614	Americans	3	Wolfpack	2	L	X	X	BoxScore
115 - 2025-12-07	630	Wolfpack	1	Thunderbirds	4	L			BoxScore
118 - 2025-12-10	636	Wolfpack	1	Senators	2	L			BoxScore
120 - 2025-12-12	650	Wolfpack	0	Rocket	3	L			BoxScore
121 - 2025-12-13	661	Wolfpack	3	Rocket	0	W			BoxScore
127 - 2025-12-19	676	Checkers	2	Wolfpack	4	W			BoxScore
128 - 2025-12-20	698	Wolfpack	1	Phantoms	5	L			BoxScore
132 - 2025-12-24	713	Islanders	4	Wolfpack	5	W			BoxScore
135 - 2025-12-27	729	Wolfpack	6	Checkers	1	W			BoxScore
136 - 2025-12-28	747	Wolfpack	4	Checkers	1	W			BoxScore
139 - 2025-12-31	761	Wolfpack	5	Thunderbirds	3	W			BoxScore
141 - 2026-01-02	768	Penguins	4	Wolfpack	2	L			BoxScore
142 - 2026-01-03	781	Bruins	1	Wolfpack	0	L			BoxScore
148 - 2026-01-09	814	Thunderbirds	-	Wolfpack	-
149 - 2026-01-10	826	Comets	-	Wolfpack	-
150 - 2026-01-11	841	Wolfpack	-	Bruins	-
153 - 2026-01-14	849	Islanders	-	Wolfpack	-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2026-01-16	859	Penguins	-	Wolfpack	-
157 - 2026-01-18	889	Senators	-	Wolfpack	-
160 - 2026-01-21	895	Wolfpack	-	Griffins	-
162 - 2026-01-23	908	Wolfpack	-	IceHogs	-
163 - 2026-01-24	915	Wolfpack	-	Admirals	-
169 - 2026-01-30	945	Bears	-	Wolfpack	-
170 - 2026-01-31	962	Admirals	-	Wolfpack	-
174 - 2026-02-04	986	Wolfpack	-	Penguins	-
177 - 2026-02-07	1009	Wolfpack	-	Bruins	-
184 - 2026-02-14	1053	Wolfpack	-	Bears	-
185 - 2026-02-15	1067	Wolfpack	-	Bears	-
188 - 2026-02-18	1072	Wolfpack	-	Islanders	-
190 - 2026-02-20	1079	Bruins	-	Wolfpack	-
191 - 2026-02-21	1094	Wolfpack	-	Islanders	-
195 - 2026-02-25	1112	Checkers	-	Wolfpack	-
197 - 2026-02-27	1124	Islanders	-	Wolfpack	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	49,180	24,929
Attendance PCT	94.58%	95.88%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
10	2850 - 95.01%	70,916$	1,843,807$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
785,950$	79,520$	79,520$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	60,950$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
709,157$	55	5,398$	296,890$

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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
12	82	6	70	0	3	2	0	1	168	451	-283	41	2	35	0	1	2	0	1	89	224	-135	41	4	35	0	2	0	0	0	79	227	-148	21	168	329	497	0	0	0	72	51	42	1901	0	602	627	658	3773	1109	694	1409	374	38	10.16%	307	77	74.92%	2	558	1890	29.52%	884	2839	31.14%	378	1298	29.12%	1156	751	2894	623	880	336
13	76	19	53	0	1	1	1	1	166	300	-134	38	10	25	0	0	1	1	1	94	140	-46	38	9	28	0	1	0	0	0	72	160	-88	44	166	282	448	3	3	0	54	61	49	1769	0	628	547	582	2541	731	843	1465	395	69	17.47%	350	65	81.43%	3	768	1993	38.53%	822	2361	34.82%	422	1158	36.44%	1572	1084	2133	561	870	398
14	76	41	22	0	5	1	4	3	246	158	88	38	19	10	0	4	1	4	0	121	77	44	38	22	12	0	1	0	0	3	125	81	44	104	246	436	682	3	10	0	92	64	81	2138	0	699	651	768	1585	458	971	1423	335	43	12.84%	403	55	86.35%	6	1411	2446	57.69%	1210	2114	57.24%	657	1092	60.16%	2069	1487	1618	527	920	480
14	76	41	22	0	5	1	4	3	246	158	88	38	19	10	0	4	1	4	0	121	77	44	38	22	12	0	1	0	0	3	125	81	44	104	246	436	682	3	10	0	92	64	81	2138	0	699	651	768	1585	458	971	1423	335	43	12.84%	403	55	86.35%	6	1411	2446	57.69%	1210	2114	57.24%	657	1092	60.16%	2069	1487	1618	527	920	480
14	76	41	22	0	5	1	4	3	246	158	88	38	19	10	0	4	1	4	0	121	77	44	38	22	12	0	1	0	0	3	125	81	44	104	246	436	682	3	10	0	92	64	81	2138	0	699	651	768	1585	458	971	1423	335	43	12.84%	403	55	86.35%	6	1411	2446	57.69%	1210	2114	57.24%	657	1092	60.16%	2069	1487	1618	527	920	480
15	82	51	18	0	4	4	2	3	243	147	96	41	26	6	0	2	3	1	3	122	61	61	41	25	12	0	2	1	1	0	121	86	35	121	243	442	685	0	11	0	82	90	65	2364	0	744	854	747	1775	512	1160	1473	420	57	13.57%	457	53	88.40%	4	1566	2691	58.19%	1315	2318	56.73%	688	1136	60.56%	2211	1578	1762	572	987	518
15	82	51	18	0	4	4	2	3	243	147	96	41	26	6	0	2	3	1	3	122	61	61	41	25	12	0	2	1	1	0	121	86	35	121	243	442	685	0	11	0	82	90	65	2364	0	744	854	747	1775	512	1160	1473	420	57	13.57%	457	53	88.40%	4	1566	2691	58.19%	1315	2318	56.73%	688	1136	60.56%	2211	1578	1762	572	987	518
16	82	44	24	0	7	1	2	4	268	152	116	41	22	12	0	2	1	1	3	138	79	59	41	22	12	0	5	0	1	1	130	73	57	111	268	486	754	0	8	0	94	94	71	2489	0	764	816	886	1683	474	1057	1439	472	89	18.86%	417	58	86.09%	6	1832	2763	66.30%	1432	2244	63.81%	749	1150	65.13%	2368	1752	1640	540	951	511
17	72	47	12	0	3	5	3	2	246	119	127	36	25	6	0	1	3	0	1	120	59	61	36	22	6	0	2	2	3	1	126	60	66	113	246	439	685	0	12	0	103	75	62	2191	0	791	723	658	1446	429	875	1387	374	68	18.18%	366	33	90.98%	4	1585	2420	65.50%	1152	1855	62.10%	672	1006	66.80%	2172	1620	1358	448	831	465
18	72	47	18	0	3	2	2	0	266	121	145	36	24	8	0	2	1	1	0	139	69	70	36	23	10	0	1	1	1	0	127	52	75	106	266	488	754	0	13	0	84	94	83	2156	0	687	711	750	1499	405	927	1318	408	75	18.38%	392	40	89.80%	3	1424	2373	60.01%	1183	2094	56.49%	630	1023	61.58%	2047	1501	1444	484	848	456
19	71	43	16	0	1	4	0	7	237	145	92	35	19	7	0	1	3	0	5	109	69	40	36	24	9	0	0	1	0	2	128	76	52	99	237	440	677	0	8	0	98	73	65	2018	0	662	694	636	1487	410	951	1335	387	73	18.86%	400	43	89.25%	7	1316	2297	57.29%	1109	1985	55.87%	581	1021	56.90%	1990	1440	1473	486	840	450
20	52	28	17	0	0	2	1	4	145	109	36	26	13	8	0	0	1	1	3	79	57	22	26	15	9	0	0	1	0	1	66	52	14	64	145	265	410	0	5	65	40	39	2	1352	459	448	432	31	1032	299	649	966	300	45	15.00%	279	37	86.74%	2	938	1633	57.44%	749	1364	54.91%	409	719	56.88%	1439	1025	1080	360	629	339
Total Regular Season	899	459	312	0	41	28	25	34	2720	2165	555	449	224	143	0	23	21	18	20	1375	1050	325	450	235	169	0	18	7	7	14	1345	1115	230	1112	2720	4921	7641	12	101	65	985	859	747	25018	459	8167	8211	7999	21766	6255	11229	16534	4555	700	15.37%	4634	624	86.53%	53	15786	28089	56.20%	13591	25720	52.84%	7188	12923	55.62%	23378	16796	20407	6232	10589	5435
Playoff
14	5	1	4	0	0	0	0	0	8	14	-6	3	1	2	0	0	0	0	0	5	9	-4	2	0	2	0	0	0	0	0	3	5	-2	2	8	14	22	0	0	0	2	2	4	123	0	28	43	46	144	52	64	104	17	3	17.65%	30	2	93.33%	0	91	162	56.17%	102	198	51.52%	42	72	58.33%	128	89	127	38	65	33
15	24	16	8	0	0	0	0	0	48	39	9	13	8	5	0	0	0	0	0	25	23	2	11	8	3	0	0	0	0	0	23	16	7	32	48	84	132	1	5	0	19	13	11	593	0	189	184	177	538	163	345	459	164	16	9.76%	147	12	91.84%	0	524	837	62.60%	420	733	57.30%	180	326	55.21%	704	504	549	182	310	163
16	5	1	4	0	0	0	0	0	8	12	-4	2	1	1	0	0	0	0	0	6	6	0	3	0	3	0	0	0	0	0	2	6	-4	2	8	13	21	0	0	0	3	4	1	135	0	37	33	45	125	40	72	93	35	5	14.29%	34	2	94.12%	0	93	186	50.00%	79	162	48.77%	33	73	45.21%	135	92	135	40	67	33
17	13	7	6	0	0	0	0	0	33	29	4	7	2	5	0	0	0	0	0	17	21	-4	6	5	1	0	0	0	0	0	16	8	8	14	33	64	97	1	1	0	12	11	8	330	0	107	124	96	270	92	147	241	89	14	15.73%	61	12	80.33%	0	233	430	54.19%	198	369	53.66%	85	180	47.22%	347	245	281	94	160	83
18	18	16	2	0	0	0	0	0	72	28	44	9	8	1	0	0	0	0	0	41	12	29	9	8	1	0	0	0	0	0	31	16	15	32	72	132	204	0	3	0	30	19	20	538	0	158	169	198	343	118	234	363	98	16	16.33%	93	8	91.40%	1	352	583	60.38%	276	475	58.11%	163	276	59.06%	524	386	357	117	217	119
19	17	10	7	0	0	0	0	0	53	37	16	8	4	4	0	0	0	0	0	22	16	6	9	6	3	0	0	0	0	0	31	21	10	20	53	100	153	0	2	0	25	15	12	491	0	181	163	145	419	116	240	300	83	20	24.10%	100	16	84.00%	2	332	557	59.61%	296	516	57.36%	151	250	60.40%	445	314	378	116	201	106
Total Playoff	82	51	31	0	0	0	0	0	222	159	63	42	24	18	0	0	0	0	0	116	87	29	40	27	13	0	0	0	0	0	106	72	34	102	222	407	629	2	11	0	91	64	56	2210	0	700	716	707	1839	581	1102	1560	486	74	15.23%	465	52	88.82%	3	1625	2755	58.98%	1371	2453	55.89%	654	1177	55.56%	2286	1632	1829	588	1022	539