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	Kailer Yamamoto (A)	0	X	X	X		98.00	69	32	89	73	60	84	82	68	57	67	65	71	69	70	68	78	50	67	0
2	Chris Terry (C)	0		X	X		100.00	60	39	73	63	69	95	84	62	71	66	64	61	63	75	77	30	50	65	0
3	Riley Tufte	0		X			100.00	84	80	66	62	98	86	85	63	65	60	61	64	62	66	67	77	50	65	0
4	Radim Zohorna	0		X	X		99.00	82	41	82	63	96	78	83	62	67	64	61	65	62	68	69	36	50	65	0
5	Austin Czarnik	0	X		X		100.00	63	35	91	64	66	77	87	62	76	63	60	65	61	73	74	27	50	64	0
6	Fredrik Olofsson	0	X	X			99.00	69	38	92	62	78	75	87	64	74	63	59	68	61	67	69	52	50	64	0
7	Thomas Bordeleau	0	X	X	X		100.00	58	37	84	68	67	88	85	66	69	63	64	62	70	63	65	75	50	64	0
8	Kristian Reichel	0			X		100.00	69	39	84	64	79	82	85	62	58	63	59	60	62	66	68	42	50	63	0
9	T.J. Tynan (A)	0	X				99.00	60	38	75	66	60	78	87	65	79	68	56	57	59	72	74	41	50	63	0
10	Graeme Clarke	0		X	X		100.00	68	36	89	63	69	90	86	62	58	60	61	63	62	64	65	64	50	63	0
11	Ryan Suzuki	0	X				100.00	61	37	91	63	70	75	78	62	68	61	60	64	62	63	65	80	50	62	0
12	Jacob Bryson	0				X	99.00	62	35	95	67	64	82	79	65	30	68	59	70	50	68	69	52	50	66	0
13	Derrick Pouliot	5				X	100.00	70	39	71	66	78	83	81	65	30	67	58	62	52	71	72	69	50	66	0
14	Dakota Mermis	0				X	100.00	65	45	71	63	73	84	82	62	30	64	60	67	50	70	72	35	50	65	0
15	Kaedan Korczak	0				X	100.00	74	42	73	64	84	85	81	62	30	68	59	61	50	63	65	74	50	65	0
16	Jack Thompson	0				X	100.00	67	37	92	63	75	84	85	59	30	62	57	64	49	62	64	63	50	64	0
17	Jordan Gross	0				X	100.00	61	37	82	65	68	86	80	63	30	62	64	61	53	69	71	36	50	64	0
18	Hunter Drew	0			X	X	100.00	74	54	51	59	79	80	78	57	55	56	58	59	57	66	68	47	50	62	0
Scratches
1	Henri Nikkanen	0	X				100.00	77	39	90	52	86	70	83	53	60	54	55	59	53	63	65	59	50	59	0
2	Riley Damiani	0	X				100.00	55	37	84	60	64	77	83	59	63	58	57	56	60	64	66	55	50	59	0
3	Cameron Hebig	0	X	X	X		100.00	60	38	85	58	69	82	83	56	65	59	57	53	55	67	69	37	50	59	0
4	Bogdan Trineyev (R)	0		X	X		100.00	74	38	92	55	83	77	71	53	51	52	54	58	56	62	64	60	50	58	0
5	Maxim Cajkovic (R)	0			X		100.00	60	36	90	59	69	75	61	58	55	57	56	54	58	63	65	62	50	58	0
6	Jeremy McKenna	0			X		100.00	56	36	94	58	65	75	66	55	56	54	57	53	58	65	67	42	50	57	0
7	Austin Strand	0				X	100.00	77	43	73	60	86	70	80	56	30	58	57	59	48	67	69	37	50	63	0
8	Maximus Wanner (R)	0				X	100.00	71	40	83	58	80	68	72	57	30	56	55	53	46	61	63	49	50	59	0
9	Wyatte Wylie	0				X	100.00	63	37	91	55	72	66	76	54	30	56	53	57	46	65	67	55	50	59	0
10	Chad Nychuk	0				X	100.00	67	40	85	57	76	68	63	56	30	55	54	53	46	63	65	43	50	58	0

	TEAM AVERAGE					99.79	67	40	83	62	74	79	80	60	52	61	59	61	56	66	68	53	50	62

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3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
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8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Mitchell Gibson	99.00	74	70	66	75	73	72	74	73	72	74	73	65	73	56	50	70	0
2	Cale Morris	100.00	65	72	67	75	64	63	65	64	63	65	64	68	81	36	50	66	0
Scratches
1	Kyle Keyser	100.00	64	75	71	76	63	62	64	63	62	64	63	65	73	42	50	65	0

	TEAM AVERAGE	99.67	68	72	68	75	67	66	68	67	66	68	67	66	76	45	50	67

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dean Evason	82	86	83	78	90	84	56	CAN	60	8	1,000,000$

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7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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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	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Kailer Yamamoto	Wolfpack (NYR)	C/LW/RW	46	18	24	42	19	36	0	74	104	171	34	137	10.53%	12	1069	23.25	4	10	14	40	209	0	1	1	10	222	4	1	53.66%	82	0	0.79	1	5	0	0	0	5	1	4
2	T.J. Tynan	Wolfpack (NYR)	C	46	13	28	41	20	20	0	39	75	76	24	62	17.11%	0	779	16.95	5	12	17	27	209	0	0	0	0	0	3	0	61.17%	886	0	1.05	0	0	0	0	0	3	3	4
3	Thomas Bordeleau	Wolfpack (NYR)	C/LW/RW	42	15	19	34	16	28	10	26	55	101	23	82	14.85%	0	758	18.05	4	9	13	32	186	0	0	0	0	15	4	0	69.03%	155	0	0.90	0	4	0	0	2	2	4	0
4	Jacob Bryson	Wolfpack (NYR)	D	46	6	27	33	8	12	0	30	55	79	28	53	7.59%	42	1101	23.95	4	7	11	58	210	0	3	3	1	219	1	0	0.00%	0	0	0.60	0	0	0	0	0	1	3	2
5	Dakota Mermis	Wolfpack (NYR)	D	46	8	21	29	7	55	15	56	34	68	19	45	11.76%	49	1014	22.06	7	7	14	44	164	0	0	0	4	198	0	0	0.00%	0	0	0.57	0	0	1	2	0	3	0	3
6	Fredrik Olofsson	Wolfpack (NYR)	C/LW	40	9	20	29	10	10	0	25	104	98	25	59	9.18%	5	816	20.42	2	11	13	28	157	1	0	1	4	206	2	0	57.70%	1019	2	0.71	0	0	0	0	0	3	3	1
7	Radim Zohorna	Wolfpack (NYR)	LW/RW	49	11	15	26	10	86	10	113	70	111	36	79	9.91%	8	903	18.44	3	9	12	32	186	1	0	1	6	120	3	3	46.67%	60	0	0.58	0	0	1	0	1	1	6	3
8	Derrick Pouliot	Wolfpack (NYR)	D	49	6	20	26	6	68	0	106	32	66	19	50	9.09%	33	1123	22.93	5	12	17	49	200	0	1	1	0	196	1	1	0.00%	0	0	0.46	0	0	0	0	0	1	2	1
9	Chris Terry	Wolfpack (NYR)	LW/RW	46	12	13	25	0	30	0	43	59	98	26	84	12.24%	3	847	18.42	7	6	13	35	205	0	0	0	1	73	1	2	66.67%	117	0	0.59	0	5	0	0	0	1	0	0
10	Kaedan Korczak	Wolfpack (NYR)	D	47	7	13	20	12	81	15	112	28	66	18	33	10.61%	41	1037	22.06	5	5	10	48	197	1	2	3	3	187	1	0	0.00%	0	0	0.39	0	0	0	0	3	2	1	1
11	Austin Czarnik	Wolfpack (NYR)	C/RW	47	7	9	16	-2	6	0	17	89	83	27	65	8.43%	12	709	15.09	1	2	3	5	27	0	1	1	3	141	1	0	57.75%	710	0	0.45	0	0	0	0	0	0	0	1
12	Jack Thompson	Wolfpack (NYR)	D	46	1	12	13	16	18	0	30	29	18	3	10	5.56%	25	651	14.17	0	0	0	1	7	0	0	0	0	39	0	0	0.00%	0	0	0.40	0	0	0	0	0	0	0	0
13	Riley Tufte	Wolfpack (NYR)	LW	45	7	6	13	6	76	10	86	32	80	24	48	8.75%	2	502	11.17	0	0	0	1	8	0	0	0	0	6	1	0	52.94%	17	0	0.52	0	1	2	0	0	1	1	1
14	Hunter Drew	Wolfpack (NYR)	RW/D	46	3	9	12	5	73	5	68	17	14	10	21	21.43%	17	515	11.21	0	0	0	0	3	0	0	0	0	7	0	1	62.50%	8	0	0.47	0	0	0	0	1	1	0	0
15	Kristian Reichel	Wolfpack (NYR)	RW	46	6	6	12	2	8	0	26	26	71	13	38	8.45%	0	460	10.01	0	0	0	0	0	0	0	0	0	0	2	0	54.55%	33	0	0.52	0	0	0	0	0	2	1	0
16	Ryan Suzuki	Wolfpack (NYR)	C	44	5	5	10	-1	6	0	13	24	54	9	33	9.26%	2	344	7.82	1	0	1	2	14	1	0	1	1	8	3	0	53.96%	202	0	0.58	0	0	0	0	0	0	0	3
17	Graeme Clarke	Wolfpack (NYR)	LW/RW	41	6	2	8	5	14	0	26	16	55	12	40	10.91%	8	342	8.35	0	0	0	1	8	0	0	0	0	25	2	0	65.22%	23	0	0.47	0	0	0	0	0	0	3	0
18	Jordan Gross	Wolfpack (NYR)	D	13	1	6	7	8	12	0	15	11	12	3	5	8.33%	6	187	14.44	1	0	1	4	5	0	0	0	0	13	0	0	0.00%	0	0	0.75	0	0	0	0	0	0	0	1
19	Henri Nikkanen	Wolfpack (NYR)	C	16	2	1	3	2	4	0	6	1	3	0	6	66.67%	1	110	6.88	0	0	0	0	0	0	0	0	0	0	1	0	66.67%	3	0	0.55	0	0	0	0	0	0	0	0
20	Riley Damiani	Wolfpack (NYR)	C	17	1	0	1	0	0	0	1	10	18	4	9	5.56%	0	118	6.96	0	0	0	0	0	0	0	0	0	0	1	0	52.94%	68	0	0.17	0	0	0	0	0	0	1	0
21	Austin Strand	Wolfpack (NYR)	D	7	0	1	1	2	26	0	13	4	3	1	1	0.00%	2	86	12.36	0	0	0	0	0	0	0	0	0	2	0	0	0.00%	0	0	0.23	0	0	0	0	0	0	0	0
Team Total or Average				825	144	257	401	151	669	65	925	875	1345	358	960	10.71%	268	13481	16.34	49	90	139	407	2003	4	8	12	33	1686	31	8	58.85%	3383	2	0.59	1	15	4	2	7	26	29	25

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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
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.
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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	PS %	PSA	ST	BG	S1	S2	S3
1	Mitchell Gibson	Wolfpack (NYR)	37	25	5	7	0.912	1.77	2235	6	4	66	747	0.538	13	37	9	2	2	2
2	Cale Morris	Wolfpack (NYR)	10	4	4	1	0.904	2.05	556	0	1	19	198	0.667	3	9	37	1	0	0
Team Total or Average			47	29	9	8	0.910	1.83	2791	6	5	85	945	0.563	16	46	46	3	2	2

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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
Austin Czarnik	C/RW	32	1992-12-12	No	170 Lbs	5 ft9	No	No	No	2	UFA	Pro & Farm	801,000$	0$	0$	No	Link / NHL Link
Austin Strand	D	27	1997-02-17	No	215 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Bogdan Trineyev	LW/RW	22	2002-03-04	Yes	198 Lbs	6 ft3	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	NHL Link
Cale Morris	G	28	1996-05-22	No	190 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Cameron Hebig	C/LW/RW	28	1997-01-21	No	184 Lbs	5 ft11	No	No	No	2	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Chad Nychuk	D	23	2001-03-06	No	194 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Chris Terry	LW/RW	35	1989-04-07	No	191 Lbs	5 ft10	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Dakota Mermis	D	31	1994-01-05	No	195 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Derrick Pouliot	D	31	1994-01-16	No	204 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Fredrik Olofsson	C/LW	28	1996-05-27	No	190 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Graeme Clarke	LW/RW	23	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	23	2001-04-28	No	200 Lbs	6 ft4	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Hunter Drew	RW/D	26	1998-10-21	No	191 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Jack Thompson	D	22	2002-03-19	No	189 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Jacob Bryson	D	27	1997-11-18	No	174 Lbs	5 ft9	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Jeremy McKenna	RW	25	1999-04-20	No	174 Lbs	5 ft10	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Jordan Gross	D	29	1995-05-09	No	190 Lbs	5 ft10	No	No	No	4	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Kaedan Korczak	D	24	2001-01-29	No	201 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Kailer Yamamoto	C/LW/RW	26	1998-09-29	No	153 Lbs	5 ft8	No	No	No	3	RFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Kristian Reichel	RW	26	1998-06-11	No	192 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Kyle Keyser	G	25	1999-03-08	No	178 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Maxim Cajkovic	RW	24	2001-01-03	Yes	185 Lbs	5 ft11	No	No	No	4	RFA	Pro & Farm	500,000$	0$	0$	No	NHL Link
Maximus Wanner	D	21	2003-03-12	Yes	185 Lbs	6 ft3	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	NHL Link
Mitchell Gibson	G	25	1999-06-25	No	188 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Radim Zohorna	LW/RW	28	1996-04-29	No	220 Lbs	6 ft6	No	No	No	2	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Riley Damiani	C	24	2000-03-20	No	170 Lbs	5 ft10	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Riley Tufte	LW	26	1998-04-10	No	230 Lbs	6 ft6	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Ryan Suzuki	C	23	2001-05-28	No	176 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
T.J. Tynan	C	32	1992-02-25	No	160 Lbs	5 ft8	No	No	No	2	UFA	Pro & Farm	451,000$	0$	0$	No	Link / NHL Link
Thomas Bordeleau	C/LW/RW	23	2002-01-03	No	175 Lbs	5 ft10	No	No	No	2	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Wyatte Wylie	D	25	1999-11-02	No	190 Lbs	6 ft0	No	No	No	1	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
31	26.19	188 Lbs	6 ft0	2.19	453,290$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Thomas Bordeleau	T.J. Tynan	Kailer Yamamoto	36	0	2	3
2	Radim Zohorna	Fredrik Olofsson	Chris Terry	34	1	2	2
3	Riley Tufte	Austin Czarnik	Kristian Reichel	20	1	2	2
4	Graeme Clarke	Ryan Suzuki	Hunter Drew	10	1	3	1

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jacob Bryson	Kaedan Korczak	38	1	2	2
2	Derrick Pouliot	Dakota Mermis	38	1	2	2
3	Jack Thompson	Hunter Drew	24	1	3	1
4	Jacob Bryson	Derrick Pouliot	0	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Kailer Yamamoto	T.J. Tynan	Thomas Bordeleau	60	0	0	5
2	Radim Zohorna	Fredrik Olofsson	Chris Terry	40	1	0	4

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

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Fredrik Olofsson	Kailer Yamamoto	60	1	4	0
2	Austin Czarnik	Radim Zohorna	40	1	4	0

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

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Fredrik Olofsson	50	1	4	0	Jacob Bryson	Kaedan Korczak	50	1	4	0
2	Austin Czarnik	50	1	4	0	Derrick Pouliot	Dakota Mermis	50	1	4	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	T.J. Tynan	Kailer Yamamoto	50	1	2	2
2	Austin Czarnik	Thomas Bordeleau	50	1	2	2

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

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Kailer Yamamoto	T.J. Tynan	Thomas Bordeleau	Jacob Bryson	Derrick Pouliot

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Radim Zohorna	Fredrik Olofsson	Kailer Yamamoto	Jacob Bryson	Kaedan Korczak

Extra Forwards
Normal	PowerPlay	Penalty Kill
Kailer Yamamoto, Radim Zohorna, Austin Czarnik	Thomas Bordeleau, Kailer Yamamoto	Chris Terry

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jacob Bryson, Derrick Pouliot, Kaedan Korczak	Jacob Bryson	Jacob Bryson, Derrick Pouliot

Penalty Shots
Chris Terry, Kailer Yamamoto, Thomas Bordeleau, Riley Tufte, Ryan Suzuki

Goalie
#1 : Mitchell Gibson, #2 : Cale Morris

Custom OT Lines Forwards
, , , , , , , Radim Zohorna, , ,

Custom OT Lines Defensemen
, , Derrick Pouliot, ,

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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.
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7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
49	66	W2	147	271	418	1370	1032	287	647	928	0	5

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
49	29	12	0	3	0	5	147	102

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
24	14	4	0	2	0	4	70	44

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
25	15	8	0	1	0	1	77	58

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	2	0	1	0	2

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
282	54	19.15%	276	29	89.49%	5

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
446	467	439	33	64	44	39	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
882	1614	54.65%	754	1376	54.80%	388	700	55.43%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1351	968	1038	340	582	310

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 - 2024-09-24	16	Wolfpack	3	Phantoms	4	L			BoxScore
15 - 2024-09-30	32	Thunderbirds	4	Wolfpack	3	L			BoxScore
16 - 2024-10-01	45	Islanders	4	Wolfpack	3	L			BoxScore
17 - 2024-10-02	58	Wolfpack	3	Islanders	1	W			BoxScore
22 - 2024-10-07	70	Phantoms	1	Wolfpack	2	W			BoxScore
24 - 2024-10-09	99	Thunderbirds	1	Wolfpack	2	W			BoxScore
27 - 2024-10-12	104	Griffins	2	Wolfpack	4	W			BoxScore
29 - 2024-10-14	112	Wolfpack	5	Crunch	1	W			BoxScore
30 - 2024-10-15	122	Wolfpack	2	Penguins	0	W			BoxScore
34 - 2024-10-19	142	Crunch	0	Wolfpack	6	W			BoxScore
36 - 2024-10-21	153	Wolfpack	1	Americans	3	L			BoxScore
38 - 2024-10-23	172	Wolfpack	4	Bruins	2	W			BoxScore
43 - 2024-10-28	190	Checkers	2	Wolfpack	6	W			BoxScore
44 - 2024-10-29	203	Bruins	2	Wolfpack	1	L	X	X	BoxScore
47 - 2024-11-01	220	Checkers	0	Wolfpack	1	W			BoxScore
51 - 2024-11-05	245	Thunderbirds	2	Wolfpack	3	W			BoxScore
52 - 2024-11-06	255	Islanders	3	Wolfpack	2	L			BoxScore
55 - 2024-11-09	261	Phantoms	1	Wolfpack	3	W			BoxScore
58 - 2024-11-12	280	Wolfpack	1	Thunderbirds	4	L			BoxScore
62 - 2024-11-16	301	Wolfpack	3	Islanders	4	L	X		BoxScore
64 - 2024-11-18	308	IceHogs	0	Wolfpack	4	W			BoxScore
65 - 2024-11-19	319	Penguins	3	Wolfpack	2	L	X	X	BoxScore
69 - 2024-11-23	343	Bears	1	Wolfpack	4	W			BoxScore
72 - 2024-11-26	362	Rocket	2	Wolfpack	1	L	X		BoxScore
73 - 2024-11-27	377	Wolfpack	3	Bruins	2	W			BoxScore
78 - 2024-12-02	398	Bruins	2	Wolfpack	3	W			BoxScore
79 - 2024-12-03	417	Wolfpack	3	Bruins	1	W			BoxScore
85 - 2024-12-09	432	Wolfpack	0	Thunderbirds	3	L			BoxScore
86 - 2024-12-10	440	Bruins	3	Wolfpack	2	L			BoxScore
89 - 2024-12-13	459	Wolfpack	4	Thunderbirds	2	W			BoxScore
93 - 2024-12-17	483	Wolfpack	0	Penguins	3	L			BoxScore
94 - 2024-12-18	493	Wolfpack	3	Islanders	1	W			BoxScore
99 - 2024-12-23	515	Wolfpack	4	Phantoms	3	W			BoxScore
100 - 2024-12-24	524	Phantoms	3	Wolfpack	2	L	X	X	BoxScore
101 - 2024-12-25	537	Thunderbirds	1	Wolfpack	3	W			BoxScore
104 - 2024-12-28	549	Wolfpack	1	Comets	3	L			BoxScore
107 - 2024-12-31	565	Wolfpack	8	Checkers	3	W			BoxScore
108 - 2025-01-01	581	Wolfpack	6	Checkers	1	W			BoxScore
113 - 2025-01-06	602	Rocket	1	Wolfpack	4	W			BoxScore
114 - 2025-01-07	614	Americans	2	Wolfpack	1	L	X		BoxScore
115 - 2025-01-08	630	Wolfpack	3	Thunderbirds	4	L	X	X	BoxScore
118 - 2025-01-11	636	Wolfpack	1	Senators	3	L			BoxScore
120 - 2025-01-13	650	Wolfpack	2	Rocket	1	W			BoxScore
121 - 2025-01-14	661	Wolfpack	1	Rocket	4	L			BoxScore
127 - 2025-01-20	676	Checkers	1	Wolfpack	6	W			BoxScore
128 - 2025-01-21	698	Wolfpack	5	Phantoms	2	W			BoxScore
132 - 2025-01-25	713	Islanders	3	Wolfpack	2	L	X	X	BoxScore
135 - 2025-01-28	729	Wolfpack	4	Checkers	3	W			BoxScore
136 - 2025-01-29	747	Wolfpack	7	Checkers	0	W			BoxScore
139 - 2025-02-01	761	Wolfpack	-	Thunderbirds	-
141 - 2025-02-03	768	Penguins	-	Wolfpack	-
142 - 2025-02-04	781	Bruins	-	Wolfpack	-
148 - 2025-02-10	814	Thunderbirds	-	Wolfpack	-
149 - 2025-02-11	826	Comets	-	Wolfpack	-
150 - 2025-02-12	841	Wolfpack	-	Bruins	-
153 - 2025-02-15	849	Islanders	-	Wolfpack	-
155 - 2025-02-17	859	Penguins	-	Wolfpack	-
Trade Deadline --- Trades can’t be done after this day is simulated!
157 - 2025-02-19	889	Senators	-	Wolfpack	-
160 - 2025-02-22	895	Wolfpack	-	Griffins	-
162 - 2025-02-24	908	Wolfpack	-	IceHogs	-
163 - 2025-02-25	915	Wolfpack	-	Admirals	-
169 - 2025-03-03	945	Bears	-	Wolfpack	-
170 - 2025-03-04	962	Admirals	-	Wolfpack	-
174 - 2025-03-08	986	Wolfpack	-	Penguins	-
177 - 2025-03-11	1009	Wolfpack	-	Bruins	-
184 - 2025-03-18	1053	Wolfpack	-	Bears	-
185 - 2025-03-19	1067	Wolfpack	-	Bears	-
188 - 2025-03-22	1072	Wolfpack	-	Islanders	-
190 - 2025-03-24	1079	Bruins	-	Wolfpack	-
191 - 2025-03-25	1094	Wolfpack	-	Islanders	-
195 - 2025-03-29	1112	Checkers	-	Wolfpack	-
197 - 2025-03-31	1124	Islanders	-	Wolfpack	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	45,499	23,086
Attendance PCT	94.79%	96.19%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
12	2858 - 95.26%	71,088$	1,706,104$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
777,301$	140,520$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	93,901$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
853,052$	63	5,731$	361,053$

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
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
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	49	29	12	0	0	3	0	5	147	102	45	24	14	4	0	0	2	0	4	70	44	26	25	15	8	0	0	1	0	1	77	58	19	66	147	271	418	0	5	64	44	39	1	1370	446	467	439	33	1032	287	647	928	282	54	19.15%	276	29	89.49%	5	882	1614	54.65%	754	1376	54.80%	388	700	55.43%	1351	968	1038	340	582	310
Total Regular Season	591	284	229	0	26	19	14	19	1750	1550	200	295	142	106	0	12	14	8	13	893	753	140	296	142	123	0	14	5	6	6	857	797	60	686	1750	3173	4923	6	62	64	625	568	454	16378	446	5382	5368	5082	15334	4405	7174	10842	3060	493	16.11%	2968	410	86.19%	33	10026	18190	55.12%	8752	17201	50.88%	4584	8563	53.53%	14949	10745	13891	4098	6873	3477
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
Total Playoff	65	41	24	0	0	0	0	0	169	122	47	34	20	14	0	0	0	0	0	94	71	23	31	21	10	0	0	0	0	0	75	51	24	82	169	307	476	2	9	0	66	49	44	1719	0	519	553	562	1420	465	862	1260	403	54	13.40%	365	36	90.14%	1	1293	2198	58.83%	1075	1937	55.50%	503	927	54.26%	1841	1318	1451	472	821	432