LHSDB - Ligue de hockey simulee des debiles barbus

New York Rangers
Roster
Scoring
Informations
Lines
Stats
Schedule
Finance
Records

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Mark Jankowski	X	X			100.00	76	38	92	63	89	84	79	64	80	66	62	77	63	69	71	68	50	67	0
2	Chris Terry (C)		X	X		100.00	59	34	71	64	70	94	89	64	71	66	67	62	64	73	75	34	50	66	0
3	Radim Zohorna	X	X	X		100.00	82	45	88	67	96	80	78	63	57	66	64	61	67	66	68	52	50	66	0
4	Stefan Noesen		X	X		100.00	69	36	84	66	78	87	85	64	63	65	66	68	64	70	71	66	50	66	0
5	Austin Czarnik	X		X		100.00	62	35	94	66	63	84	79	67	77	70	64	62	67	70	72	36	50	65	0
6	Riley Damiani	X				100.00	57	37	80	67	64	83	86	65	71	65	63	61	68	63	64	57	50	64	0
7	Kiefer Sherwood	X	X	X		100.00	76	38	81	66	73	69	86	65	71	67	64	61	65	67	68	37	50	64	0
8	T.J. Tynan (A)	X				100.00	59	34	91	64	60	81	84	63	79	64	58	63	66	70	72	53	50	63	0
9	Kole Sherwood	X		X		100.00	75	37	69	62	80	83	71	59	53	62	58	60	62	65	67	55	50	62	0
10	Kristian Reichel	X		X		100.00	62	37	80	56	68	83	73	57	67	58	59	62	59	64	66	53	50	60	0
11	Graeme Clarke	X		X		100.00	58	38	84	57	67	83	81	58	61	59	60	56	59	61	63	65	50	60	0
12	Cameron Hebig	X	X	X		100.00	59	38	83	55	71	80	89	56	60	57	58	54	56	65	67	45	50	59	0
13	Dakota Mermis				X	100.00	82	41	87	62	73	84	83	59	30	60	58	62	51	68	70	36	50	65	0
14	Austin Strand				X	100.00	74	39	86	63	86	82	72	64	30	66	58	63	51	64	67	56	50	65	0
15	Derrick Pouliot (A)				X	100.00	65	39	85	69	74	83	77	66	30	74	57	60	53	69	70	72	50	65	0
16	Jordan Gross				X	100.00	62	38	78	66	69	91	84	65	30	68	58	61	52	67	69	37	50	65	0
17	Kaedan Korczak				X	100.00	67	33	82	59	84	79	71	58	30	57	55	65	50	61	63	74	50	63	0
18	Christian Jaros				X	100.00	76	72	87	59	88	78	71	58	30	60	56	61	48	65	66	54	50	63	0
Scratches
1	Maxim Cajkovic (R)		X	X		100.00	60	36	94	55	69	75	65	54	58	55	56	53	55	61	63	64	50	56	0
2	Jeremy McKenna	X		X		100.00	56	37	89	54	65	72	66	53	54	55	52	53	57	63	65	53	50	55	0
3	Scott Harrington				X	S1	70	38	88	61	80	82	81	58	30	67	59	73	51	70	71	57	50	67	0
4	Hunter Drew				X	100.00	76	34	58	60	79	78	86	59	30	58	57	60	51	64	66	58	50	63	0
5	Cam Lee				X	100.00	63	39	72	58	73	77	88	57	30	59	53	56	48	65	67	54	50	61	0
6	Wyatte Wylie				X	100.00	63	38	87	58	72	69	87	55	30	57	54	55	45	63	65	57	50	60	0
7	Zachary Leslie				X	100.00	60	39	70	58	69	70	89	56	30	60	54	55	46	68	70	41	50	60	0

	TEAM AVERAGE					100.00	67	39	82	61	74	80	80	60	50	62	59	61	57	66	68	53	50	63

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Jonas Johansson	100.00	75	82	78	93	74	73	75	74	73	75	74	66	77	57	50	74	0
2	Alex Lyon	100.00	74	75	76	78	73	72	74	73	72	74	73	70	84	50	50	72	0
Scratches
1	Kyle Keyser	100.00	72	74	73	76	71	70	72	71	70	72	71	63	69	53	50	69	0
2	Samuel Harvey	100.00	71	67	66	71	70	69	71	70	69	71	70	64	71	43	50	68	0
3	Cale Morris	100.00	69	66	67	75	68	67	69	68	67	69	68	66	75	42	50	67	0
4	Filip Lindberg (R)	100.00	68	66	67	72	67	66	68	67	66	68	67	63	69	49	50	66	0

	TEAM AVERAGE	100.00	72	72	71	78	71	70	72	71	70	72	71	65	74	49	50	69

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Geoff Ward	71	75	70	72	90	84	56	CAN	60	3	1,000,000$

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	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	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Mark Jankowski	Wolf Pack (NYR)	C/LW	72	24	46	70	39	50	0	116	203	244	83	174	9.84%	18	1564	21.73	9	19	28	54	306	1	0	1	10	308	2	0	66.68%	2020	0	0.89	0	0	0	0	0	6	6	5
2	Kiefer Sherwood	Wolf Pack (NYR)	C/LW/RW	72	30	38	68	29	76	10	105	61	172	52	118	17.44%	2	1163	16.16	9	17	26	46	292	0	0	0	0	1	9	2	54.44%	90	0	1.17	0	0	0	1	1	5	8	6
3	Stefan Noesen	Wolf Pack (NYR)	LW/RW	72	33	28	61	43	50	0	105	91	237	70	195	13.92%	11	1628	22.62	12	6	18	53	309	1	1	2	21	351	9	0	52.46%	122	2	0.75	0	0	0	0	0	9	3	5
4	Jordan Gross	Wolf Pack (NYR)	D	72	11	48	59	42	60	0	83	57	98	36	69	11.22%	58	1569	21.80	6	18	24	65	280	0	1	1	0	183	5	1	0.00%	0	0	0.75	0	0	0	0	0	3	2	4
5	Scott Harrington	Wolf Pack (NYR)	D	72	16	39	55	32	83	5	97	55	97	38	75	16.49%	67	1658	23.03	9	10	19	56	304	0	0	0	3	282	6	1	0.00%	0	0	0.66	0	0	0	0	1	3	4	3
6	Austin Czarnik	Wolf Pack (NYR)	C/RW	72	24	29	53	36	14	0	31	106	200	62	148	12.00%	10	1394	19.37	9	7	16	51	289	1	1	2	3	148	4	1	61.55%	866	1	0.76	1	5	0	0	0	1	7	3
7	Derrick Pouliot	Wolf Pack (NYR)	D	72	8	44	52	37	69	15	96	56	95	31	68	8.42%	43	1548	21.50	4	15	19	75	306	0	0	0	0	55	2	1	0.00%	0	0	0.67	0	0	1	1	1	4	2	5
8	Austin Strand	Wolf Pack (NYR)	D	72	10	33	43	37	120	20	139	44	93	28	47	10.75%	55	1533	21.30	5	13	18	62	271	0	0	0	1	263	1	2	0.00%	0	0	0.56	0	0	1	0	2	3	3	1
9	Chris Terry	Wolf Pack (NYR)	LW/RW	72	13	24	37	24	18	0	51	72	179	56	155	7.26%	9	1249	17.35	2	8	10	45	280	0	0	0	1	51	7	1	57.33%	75	0	0.59	0	0	0	0	0	1	2	6
10	Radim Zohorna	Wolf Pack (NYR)	C/LW/RW	72	19	18	37	20	75	15	119	49	160	48	121	11.88%	7	1036	14.39	2	7	9	19	169	0	0	0	0	6	3	1	62.50%	56	0	0.71	2	5	0	0	2	3	2	3
11	Riley Damiani	Wolf Pack (NYR)	C	72	9	13	22	12	10	0	19	66	118	37	103	7.63%	4	891	12.38	0	4	4	21	110	0	0	0	0	0	0	1	61.40%	430	0	0.49	2	4	0	0	0	0	2	2
12	Christian Jaros	Wolf Pack (NYR)	D	56	5	16	21	17	47	5	81	26	36	9	26	13.89%	28	570	10.19	0	2	2	1	4	0	0	0	0	47	0	0	0.00%	0	0	0.74	0	0	0	0	1	0	0	2
13	Dakota Mermis	Wolf Pack (NYR)	D	72	6	14	20	18	79	5	117	35	41	10	19	14.63%	55	1129	15.68	0	0	0	1	8	0	2	2	1	206	0	2	0.00%	0	0	0.35	0	0	0	0	1	1	0	2
14	T.J. Tynan	Wolf Pack (NYR)	C	72	6	14	20	9	14	0	24	95	96	27	84	6.25%	7	856	11.90	0	0	0	0	0	1	1	2	4	182	1	0	66.15%	709	0	0.47	0	0	0	0	0	1	1	1
15	Kaedan Korczak	Wolf Pack (NYR)	D	60	2	15	17	10	38	0	51	38	31	12	27	6.45%	59	1035	17.25	0	0	0	4	14	0	0	0	0	240	0	0	0.00%	0	0	0.33	0	0	0	0	0	0	0	0
16	Kristian Reichel	Wolf Pack (NYR)	C/RW	72	10	6	16	10	16	0	39	40	81	22	51	12.35%	3	530	7.37	0	0	0	1	4	0	0	0	2	55	0	1	55.16%	252	0	0.60	0	0	0	0	0	0	1	2
17	Kole Sherwood	Wolf Pack (NYR)	C/RW	72	5	7	12	6	54	0	106	47	88	22	60	5.68%	3	777	10.80	0	0	0	1	2	0	0	0	0	0	0	0	69.44%	36	0	0.31	0	0	0	0	0	0	0	1
18	Graeme Clarke	Wolf Pack (NYR)	C/RW	44	4	6	10	9	6	0	15	11	30	6	20	13.33%	0	266	6.05	0	0	0	0	0	0	0	0	0	0	0	1	72.73%	11	0	0.75	0	0	0	0	0	0	0	0
19	Cameron Hebig	Wolf Pack (NYR)	C/LW/RW	13	1	0	1	1	0	0	7	5	7	4	7	14.29%	0	78	6.02	0	0	0	0	0	0	0	0	0	0	0	1	100.00%	2	0	0.26	0	0	0	0	0	0	0	0
20	Hunter Drew	Wolf Pack (NYR)	D	2	0	0	0	1	0	0	4	3	3	2	1	0.00%	0	27	13.93	0	0	0	0	0	0	0	0	0	1	0	0	0.00%	0	0	0.00	0	0	0	0	0	0	0	0
Team Total or Average				1255	236	438	674	432	879	75	1405	1160	2106	655	1568	11.21%	439	20511	16.34	67	126	193	555	2956	4	6	10	46	2384	49	16	63.78%	4669	3	0.66	5	14	2	2	9	40	43	51

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	PS %	PSA	ST	BG	S1	S2	S3
1	Jonas Johansson	Wolf Pack (NYR)	69	50	11	7	0.921	1.59	4103	8	12	109	1376	2	0.786	14	68	4	5	5	4
2	Alex Lyon	Wolf Pack (NYR)	5	3	1	0	0.886	1.88	256	0	0	8	70	0	0.000	0	4	68	0	0	0
Team Total or Average			74	53	12	7	0.919	1.61	4360	8	12	117	1446	2	0.786	14	72	72	5	5	4

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Player Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link
Alex Lyon	G	30	1992-12-09	No	201 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Austin Czarnik	C/RW	30	1992-12-12	No	170 Lbs	5 ft9	No	No	No	4	UFA	Pro & Farm	801,000$	0$	0$	No	Link / NHL Link
Austin Strand	D	26	1997-02-17	No	215 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Cale Morris	G	26	1996-05-22	No	190 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Cam Lee	D	26	1997-02-18	No	190 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Cameron Hebig	C/LW/RW	26	1997-01-21	No	184 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Chris Terry	LW/RW	33	1989-04-07	No	191 Lbs	5 ft10	No	No	No	3	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Christian Jaros	D	26	1996-04-02	No	222 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Dakota Mermis	D	29	1994-01-05	No	195 Lbs	6 ft0	No	No	No	4	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Derrick Pouliot	D	29	1994-01-16	No	196 Lbs	6 ft0	No	No	No	3	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Filip Lindberg	G	24	1999-01-31	Yes	180 Lbs	6 ft0	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No
Graeme Clarke	C/RW	21	2001-04-24	No	175 Lbs	5 ft11	No	No	No	3	ELC	Pro & Farm	300,000$	0$	0$	No	Link
Hunter Drew	D	24	1998-10-21	No	191 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Jeremy McKenna	C/RW	23	1999-04-20	No	174 Lbs	5 ft10	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Jonas Johansson	G	27	1995-09-19	No	220 Lbs	6 ft5	No	No	No	2	RFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Jordan Gross	D	27	1995-05-09	No	190 Lbs	5 ft10	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Kaedan Korczak	D	22	2001-01-29	No	202 Lbs	6 ft3	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link
Kiefer Sherwood	C/LW/RW	27	1995-03-31	No	194 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Kole Sherwood	C/RW	26	1997-01-22	No	212 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Kristian Reichel	C/RW	24	1998-06-11	No	168 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Kyle Keyser	G	23	1999-03-08	No	178 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Mark Jankowski	C/LW	28	1994-09-13	No	212 Lbs	6 ft4	No	No	No	3	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Maxim Cajkovic	LW/RW	22	2001-01-03	Yes	185 Lbs	5 ft11	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No
Radim Zohorna	C/LW/RW	26	1996-04-29	No	220 Lbs	6 ft6	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link
Riley Damiani	C	22	2000-03-20	No	170 Lbs	5 ft10	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link
Samuel Harvey	G	25	1998-02-04	No	185 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Scott Harrington	D	29	1993-03-10	No	204 Lbs	6 ft2	No	No	No	3	UFA	Pro & Farm	846,758$	0$	0$	No	Link / NHL Link
Stefan Noesen	LW/RW	30	1993-02-12	No	205 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	801,000$	0$	0$	No	Link / NHL Link
T.J. Tynan	C	31	1992-02-25	No	160 Lbs	5 ft8	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Wyatte Wylie	D	23	1999-11-02	No	190 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Zachary Leslie	D	29	1994-01-31	No	175 Lbs	6 ft0	No	No	No	2	UFA	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	26.26	192 Lbs	6 ft1	2.19	445,121$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Stefan Noesen	Mark Jankowski	Kiefer Sherwood	36	1	1	3
2	Chris Terry	Austin Czarnik	Radim Zohorna	32	1	2	2
3	Riley Damiani	T.J. Tynan	Kole Sherwood	24	1	2	2
4	Cameron Hebig	Kristian Reichel	Graeme Clarke	8	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kaedan Korczak	Derrick Pouliot	40	1	1	3
2	Austin Strand	Jordan Gross	36	1	2	2
3	Dakota Mermis	Christian Jaros	24	1	2	2
4	Jordan Gross	Derrick Pouliot	0	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Stefan Noesen	Mark Jankowski	Kiefer Sherwood	60	1	2	2
2	Chris Terry	Austin Czarnik	Radim Zohorna	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kaedan Korczak	Derrick Pouliot	60	1	2	2
2	Austin Strand	Jordan Gross	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Mark Jankowski	Stefan Noesen	60	1	2	2
2	T.J. Tynan	Austin Czarnik	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kaedan Korczak	Christian Jaros	60	1	2	2
2	Austin Strand	Dakota Mermis	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Mark Jankowski	60	1	2	2	Kaedan Korczak	Christian Jaros	60	1	2	2
2	T.J. Tynan	40	1	2	2	Austin Strand	Dakota Mermis	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Mark Jankowski	Stefan Noesen	60	1	2	2
2	Austin Czarnik	Chris Terry	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kaedan Korczak	Derrick Pouliot	60	1	2	2
2	Austin Strand	Jordan Gross	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Chris Terry	Mark Jankowski	Austin Czarnik	Stefan Noesen	Derrick Pouliot

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Mark Jankowski	T.J. Tynan	Austin Czarnik	Kaedan Korczak	Austin Strand

Extra Forwards
Normal	PowerPlay	Penalty Kill
Stefan Noesen, Chris Terry, Austin Czarnik	Riley Damiani, Mark Jankowski	Kristian Reichel

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Derrick Pouliot, Kaedan Korczak, Austin Strand	Derrick Pouliot	Jordan Gross, Derrick Pouliot

Penalty Shots
Austin Czarnik, Radim Zohorna, Riley Damiani, Kiefer Sherwood, T.J. Tynan

Goalie
#1 : Jonas Johansson, #2 : Alex Lyon

Custom OT Lines Forwards
Mark Jankowski, Kiefer Sherwood, Austin Czarnik, Stefan Noesen, T.J. Tynan, Chris Terry, Chris Terry, Riley Damiani, Radim Zohorna, Kristian Reichel, Kole Sherwood

Custom OT Lines Defensemen
Kaedan Korczak, Derrick Pouliot, Jordan Gross, Austin Strand, Dakota Mermis

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
72	113	SOL1	246	439	685	2191	1446	429	875	1387	0	12

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
72	47	12	3	5	3	2	246	119

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	25	6	1	3	0	1	120	59

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	22	6	2	2	3	1	126	60

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	0	1	2	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
374	68	18.18%	366	33	90.98%	4

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
791	723	658	33	103	75	62	8

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1585	2420	65.50%	1152	1855	62.10%	672	1006	66.80%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
2172	1620	1358	448	831	465

Last Played Games Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
2 - 2022-09-29	7	Roadrunners	3	Wolf Pack	8	W			BoxScore
5 - 2022-10-02	36	Wild	1	Wolf Pack	4	W			BoxScore
6 - 2022-10-03	41	Wolf Pack	6	Wranglers	1	W			BoxScore
9 - 2022-10-06	65	Wolf Pack	4	Wranglers	1	W			BoxScore
11 - 2022-10-08	75	Wolf Pack	1	Eagles	4	L			BoxScore
13 - 2022-10-10	88	Wolf Pack	2	Griffins	1	W	X	X	BoxScore
14 - 2022-10-11	96	Roadrunners	1	Wolf Pack	2	W	X		BoxScore
16 - 2022-10-13	113	Wolf Pack	1	Americans	3	L			BoxScore
18 - 2022-10-15	127	Senators	0	Wolf Pack	4	W			BoxScore
21 - 2022-10-18	149	Condors	1	Wolf Pack	6	W			BoxScore
23 - 2022-10-20	168	Stars	0	Wolf Pack	4	W			BoxScore
25 - 2022-10-22	179	Wolf Pack	1	Checkers	0	W			BoxScore
27 - 2022-10-24	196	Wolf Pack	3	Americans	4	L			BoxScore
28 - 2022-10-25	209	Griffins	2	Wolf Pack	1	L			BoxScore
31 - 2022-10-28	229	Wolf Pack	8	Roadrunners	0	W			BoxScore
33 - 2022-10-30	241	Wolf Pack	5	Firebirds	1	W			BoxScore
35 - 2022-11-01	253	Sound Tigers	0	Wolf Pack	3	W			BoxScore
38 - 2022-11-04	274	Marlies	1	Wolf Pack	8	W			BoxScore
42 - 2022-11-08	303	Admirals	1	Wolf Pack	3	W			BoxScore
44 - 2022-11-10	320	Wolf Pack	2	Condors	3	L			BoxScore
46 - 2022-11-12	332	Wild	2	Wolf Pack	3	W			BoxScore
48 - 2022-11-14	351	Wolf Pack	5	Gulls	0	W			BoxScore
50 - 2022-11-16	362	Barracuda	1	Wolf Pack	2	W			BoxScore
52 - 2022-11-18	376	Wolf Pack	2	Barracuda	1	W	X		BoxScore
54 - 2022-11-20	394	Wolf Pack	7	Marlies	1	W			BoxScore
56 - 2022-11-22	403	Thunderbirds	2	Wolf Pack	3	W			BoxScore
59 - 2022-11-25	429	Wolf Pack	6	Eagles	3	W			BoxScore
61 - 2022-11-27	439	Crunch	2	Wolf Pack	1	L	X		BoxScore
63 - 2022-11-29	455	Wolf Pack	3	Wolves	1	W			BoxScore
65 - 2022-12-01	469	Condors	2	Wolf Pack	5	W			BoxScore
68 - 2022-12-04	489	Senators	1	Wolf Pack	2	W			BoxScore
70 - 2022-12-06	506	Wolf Pack	4	Rampage	1	W			BoxScore
72 - 2022-12-08	523	Penguins	3	Wolf Pack	1	L			BoxScore
74 - 2022-12-10	539	Wolf Pack	3	Crunch	2	W	X	X	BoxScore
76 - 2022-12-12	551	IceHogs	0	Wolf Pack	6	W			BoxScore
79 - 2022-12-15	574	Wolf Pack	3	Griffins	4	L	X	X	BoxScore
81 - 2022-12-17	584	Rocket	1	Wolf Pack	2	W			BoxScore
83 - 2022-12-19	602	Wolf Pack	1	Rocket	2	L	X		BoxScore
85 - 2022-12-21	616	Wolf Pack	7	IceHogs	2	W			BoxScore
86 - 2022-12-22	631	Comets	1	Wolf Pack	4	W			BoxScore
88 - 2022-12-24	648	Reign	1	Wolf Pack	2	W			BoxScore
91 - 2022-12-27	668	Wolf Pack	4	Admirals	2	W			BoxScore
92 - 2022-12-28	676	Wolf Pack	3	Wild	2	W			BoxScore
95 - 2022-12-31	692	Americans	2	Wolf Pack	4	W			BoxScore
97 - 2023-01-02	711	Wolf Pack	2	Moose	0	W			BoxScore
98 - 2023-01-03	725	Phantoms	5	Wolf Pack	2	L			BoxScore
101 - 2023-01-06	745	Wolf Pack	4	Monsters	2	W			BoxScore
103 - 2023-01-08	758	Rampage	3	Wolf Pack	1	L			BoxScore
105 - 2023-01-10	772	Wolf Pack	3	Wranglers	1	W			BoxScore
107 - 2023-01-12	785	Bruins	4	Wolf Pack	2	L			BoxScore
109 - 2023-01-14	794	Wolf Pack	1	Bruins	0	W	X	X	BoxScore
112 - 2023-01-17	821	Wolf Pack	3	Phantoms	1	W			BoxScore
113 - 2023-01-18	826	Checkers	2	Wolf Pack	4	W			BoxScore
116 - 2023-01-21	845	Wolf Pack	5	Thunderbirds	1	W			BoxScore
118 - 2023-01-23	858	Eagles	1	Wolf Pack	2	W			BoxScore
120 - 2023-01-25	879	Wranglers	4	Wolf Pack	3	L			BoxScore
122 - 2023-01-27	893	Wolf Pack	4	Devils	3	W			BoxScore
123 - 2023-01-28	905	Wolf Pack	1	Stars	3	L			BoxScore
125 - 2023-01-30	923	Wolf Pack	1	Penguins	3	L			BoxScore
126 - 2023-01-31	926	Firebirds	1	Wolf Pack	5	W			BoxScore
130 - 2023-02-04	951	Moose	2	Wolf Pack	1	L	X		BoxScore
132 - 2023-02-06	969	Wolf Pack	6	Reign	0	W			BoxScore
133 - 2023-02-07	978	Wolf Pack	4	Sound Tigers	3	W	X		BoxScore
135 - 2023-02-09	989	Roadrunners	0	Wolf Pack	8	W			BoxScore
138 - 2023-02-12	1013	Gulls	0	Wolf Pack	2	W			BoxScore
140 - 2023-02-14	1032	Wolf Pack	3	Comets	1	W			BoxScore
143 - 2023-02-17	1047	Wolf Pack	7	Bears	1	W			BoxScore
144 - 2023-02-18	1055	Wolves	2	Wolf Pack	1	L	X		BoxScore
148 - 2023-02-22	1079	Wolf Pack	1	Senators	2	L	X		BoxScore
149 - 2023-02-23	1087	Bears	3	Wolf Pack	4	W			BoxScore
153 - 2023-02-27	1119	Monsters	1	Wolf Pack	5	W			BoxScore
157 - 2023-03-03	1137	Devils	3	Wolf Pack	2	L	X	X	BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	68,177	33,478
Attendance PCT	94.69%	92.99%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
0	2824 - 94.13%	70,604$	2,541,760$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,141,962$	129,520$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	141,946$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	7,016$	0$

Show or Hide Column

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Regular Season
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	103	75	62	8	2191	791	723	658	33	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
Total Regular Season	470	208	199	0	23	14	12	14	1337	1327	10	235	104	94	0	10	11	7	9	684	640	44	235	104	105	0	13	3	5	5	653	687	-34	514	1337	2414	3751	6	44	103	469	422	316	12852	791	4160	4153	3674	12803	3713	5600	8596	2370	364	15.36%	2300	341	85.17%	25	7720	14203	54.35%	6815	13731	49.63%	3566	6840	52.13%	11550	8275	11408	3273	5442	2710
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
Total Playoff	34	18	16	0	0	0	0	0	64	65	-1	18	10	8	0	0	0	0	0	36	38	-2	16	8	8	0	0	0	0	0	28	27	1	36	64	111	175	1	5	0	24	19	16	851	0	254	260	268	807	255	481	656	216	24	11.11%	211	16	92.42%	0	708	1185	59.75%	601	1093	54.99%	255	471	54.14%	968	686	812	261	443	230