LHSIR - Wolf Pack

Rangers
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

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	Alexander True	X				100.00	84	45	94	67	78	55	77	63	65	70	55	56	25	56	56	63	50	0	0
2	Kaapo Kakko (R)			X		100.00	61	41	92	82	72	67	78	74	34	65	68	61	75	52	52	68	50	0	0
3	Rudolfs Balcers		X			100.00	78	43	99	65	61	62	81	73	26	61	58	59	25	49	49	63	50	0	0
4	Johan Larsson	X				100.00	79	44	87	81	70	68	85	63	80	65	59	84	25	67	67	69	50	0	0
5	Jack Hughes (R)	X	X			100.00	59	40	94	82	62	72	75	84	69	68	60	55	48	51	51	65	50	0	0
6	Isac Lundestrom	X				100.00	61	41	99	80	68	66	68	72	76	72	55	64	25	46	46	64	50	0	0
7	Logan Brown	X				100.00	67	44	94	62	85	59	69	72	62	75	56	57	25	46	46	63	50	0	0
8	Sam Lafferty	X	X	X		100.00	84	57	86	67	71	54	80	61	65	62	62	76	25	48	48	67	50	0	0
9	Vitaly Abramov		X	X		100.00	68	61	83	69	61	76	79	65	50	62	64	61	61	44	44	65	50	0	0
10	Joachim Blichfeld (R)			X		100.00	73	69	83	66	69	72	75	64	50	59	65	64	62	44	44	65	50	0	0
11	Vladislav Kamenev	X	X	X		100.00	73	43	92	80	72	52	56	64	62	64	56	61	25	51	51	62	50	0	0
12	Brendan Lemieux		X	X		100.00	93	96	50	83	79	63	78	67	38	65	59	71	75	59	59	67	50	0	0
13	Matt Roy				X	100.00	84	45	95	62	74	75	87	62	25	54	48	75	25	56	56	62	50	0	0
14	Victor Mete				X	100.00	63	41	88	81	65	68	82	60	25	51	49	74	25	60	60	62	50	0	0
15	Adam Boqvist (R)				X	100.00	71	42	94	80	64	69	72	74	25	56	50	60	25	47	47	62	50	0	0
16	Ryan Graves				X	100.00	81	55	81	81	83	76	81	59	25	59	54	89	25	56	56	68	50	0	0
17	Christian Djoos				X	100.00	59	40	99	80	62	77	67	79	25	53	50	70	25	59	61	63	50	0	0
18	Alex Alexeyev (R)				X	100.00	81	77	90	63	77	67	71	51	25	46	41	64	39	44	44	55	50	0	0
Scratches
1	Aleksi Saarela	X				100.00	76	70	91	66	70	76	80	63	79	61	61	66	58	47	48	65	50	0	0
2	Hayden Verbeek	X	X			100.00	72	65	89	54	65	50	52	44	55	38	44	58	42	44	44	50	50	0	0
3	Ryan Poehling (R)	X	X			100.00	79	44	94	77	69	56	67	57	33	54	56	68	25	46	46	62	50	0	0
4	Aleksi Heponiemi (R)	X		X		100.00	66	56	89	61	56	63	67	50	63	50	46	57	44	44	44	53	50	0	0
5	Rem Pitlick (R)	X	X			100.00	74	70	82	65	70	66	68	60	75	53	62	63	59	44	44	62	50	0	0
6	Kody Clark (R)			X		100.00	71	66	83	60	66	59	62	50	50	49	47	59	45	44	44	54	50	0	0
7	Logan Stanley				X	100.00	78	87	56	62	87	68	74	47	25	37	41	62	39	44	44	52	50	0	0

	TEAM AVERAGE					100.00	73	55	87	71	70	65	73	63	48	58	55	65	39	50	50	62	50	0

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	Connor Ingram	100.00	69	64	80	76	70	71	72	77	73	73	30	44	44	70	50	0	0
2	Igor Shesterkin (R)	100.00	69	63	60	71	77	62	88	69	77	69	75	45	45	71	50	0	0
Scratches

	TEAM AVERAGE	100.00	69	64	70	74	74	67	80	73	75	71	53	45	45	71	50	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Steve Ott	70	65	60	67	54	50	89	CAN	39	3	975,000$

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	P/20	PSG	PSS	FT	S1	S2	S3
1	Kaapo Kakko	Wolf Pack (NYR)	RW	8	4	5	9	-6	0	0	1	12	24	4	9	16.67%	2	143	17.91	2	4	6	10	44	0	0	0	0	0	1	0	31.25%	16	1.26	1	2	0	1	1	1
2	Jack Hughes	Wolf Pack (NYR)	C/LW	8	2	5	7	-1	0	0	5	22	17	2	17	11.76%	1	142	17.80	1	4	5	5	40	0	0	0	0	11	0	0	37.50%	8	0.98	0	0	0	0	0	2
3	Johan Larsson	Wolf Pack (NYR)	C	8	3	3	6	3	0	0	7	22	12	3	7	25.00%	2	123	15.41	0	0	0	0	1	0	0	0	1	33	1	0	54.36%	149	0.97	1	2	0	2	0	0
4	Victor Mete	Wolf Pack (NYR)	D	8	1	5	6	1	2	0	2	8	8	4	9	12.50%	3	174	21.78	1	2	3	6	40	0	0	0	0	24	0	0	0.00%	0	0.69	0	0	0	1	0	1
5	Vitaly Abramov	Wolf Pack (NYR)	LW/RW	8	2	4	6	4	0	0	1	1	5	3	10	40.00%	0	115	14.46	1	2	3	1	39	0	0	0	0	0	0	1	16.67%	6	1.04	0	0	0	0	1	0
6	Brendan Lemieux	Wolf Pack (NYR)	LW/RW	8	4	2	6	-3	6	0	19	6	19	5	9	21.05%	1	159	19.95	2	0	2	8	38	1	0	1	3	25	1	0	27.27%	11	0.75	0	1	0	0	1	0
7	Adam Boqvist	Wolf Pack (NYR)	D	8	0	5	5	0	2	0	4	6	8	6	6	0.00%	4	163	20.43	0	1	1	6	43	0	0	0	0	15	0	0	0.00%	0	0.61	0	0	0	0	1	0
8	Ryan Graves	Wolf Pack (NYR)	D	8	2	3	5	-5	10	0	22	15	15	3	7	13.33%	3	183	22.97	2	1	3	10	34	0	0	0	0	24	0	1	0.00%	0	0.54	0	0	0	0	1	1
9	Gabriel Vilardi	Rangers	C	6	2	2	4	-4	0	0	1	16	12	2	3	16.67%	0	98	16.39	2	2	4	5	30	0	0	0	0	0	1	0	66.04%	106	0.81	0	0	0	0	0	1
10	Logan Brown	Wolf Pack (NYR)	C	8	0	3	3	0	4	0	4	11	6	1	2	0.00%	0	135	16.93	0	1	1	1	39	0	0	0	1	7	0	0	43.51%	131	0.44	0	0	0	0	0	0
11	Sam Lafferty	Wolf Pack (NYR)	C/LW/RW	8	2	1	3	5	4	0	8	8	9	1	6	22.22%	0	92	11.62	0	0	0	0	0	0	1	1	0	15	1	0	50.00%	12	0.65	0	0	0	1	0	0
12	Alex Alexeyev	Wolf Pack (NYR)	D	5	1	2	3	1	6	0	5	2	1	0	0	100.00%	1	69	13.95	0	0	0	0	1	0	0	0	0	2	0	0	0.00%	0	0.86	0	0	0	0	0	0
13	Alexander True	Wolf Pack (NYR)	C	8	1	1	2	0	6	0	3	8	8	1	2	12.50%	0	93	11.73	0	0	0	0	11	0	0	0	0	1	0	0	55.17%	58	0.43	0	0	0	0	0	0
14	Matt Roy	Wolf Pack (NYR)	D	8	0	2	2	4	25	5	17	5	1	1	1	0.00%	8	145	18.23	0	1	1	0	9	0	0	0	0	18	0	0	0.00%	0	0.27	0	0	1	0	0	0
15	Rudolfs Balcers	Wolf Pack (NYR)	LW	8	0	2	2	0	2	0	4	7	2	5	5	0.00%	1	77	9.74	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	2	0.51	0	0	0	0	0	0
16	Joachim Blichfeld	Wolf Pack (NYR)	RW	8	2	0	2	0	4	0	6	3	6	2	4	33.33%	0	91	11.45	0	0	0	0	0	0	0	0	2	13	1	0	50.00%	2	0.44	0	0	0	0	0	0
17	Isac Lundestrom	Wolf Pack (NYR)	C	2	0	1	1	-1	0	0	0	5	3	0	3	0.00%	0	32	16.13	0	1	1	1	12	0	0	0	0	0	0	0	54.29%	35	0.62	0	0	0	0	0	0
18	Christian Djoos	Wolf Pack (NYR)	D	8	0	1	1	-2	0	0	2	7	15	2	8	0.00%	3	192	24.10	0	1	1	14	42	0	0	0	0	29	0	0	0.00%	0	0.10	0	0	0	0	0	0
19	Vladislav Kamenev	Wolf Pack (NYR)	C/LW/RW	8	0	0	0	0	2	0	5	6	3	1	3	0.00%	1	90	11.34	0	0	0	0	2	0	0	0	0	3	0	0	50.00%	2	0.00	0	0	0	0	0	0
Team Total or Average				141	26	47	73	-4	73	5	116	170	174	46	111	14.94%	30	2327	16.50	11	20	31	67	432	1	1	2	7	227	6	2	51.86%	538	0.63	2	5	1	5	5	6

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	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Igor Shesterkin	Wolf Pack (NYR)	8	7	0	1	0.861	2.08	490	0	0	17	122	0	0	0	0.800	5	8	0	0	0	0
Team Total or Average			8	7	0	1	0.861	2.08	490	0	0	17	122	0	0	0	0.800	5	8	0	0	0	0

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	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	Current Salary	Salary Remaining	Salary Average	Salary Ave Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Adam Boqvist	Wolf Pack (NYR)	D	19	2000-08-14	Yes	179 Lbs	5 ft11	No	No	No	3	Pro & Farm	1,744,167$	1,561,311$	1,744,167$	1,561,311$	0$	0$	No	1,744,167$	1,744,167$
Aleksi Heponiemi	Wolf Pack (NYR)	C/RW	21	1999-01-09	Yes	150 Lbs	5 ft10	No	No	No	3	Pro & Farm	1,775,000$	1,588,911$	1,775,000$	1,588,911$	0$	0$	No	1,775,000$	1,775,000$
Aleksi Saarela	Wolf Pack (NYR)	C	23	1997-01-07	No	198 Lbs	5 ft11	No	No	No	3	Pro & Farm	1,152,500$	1,031,673$	902,500$	807,883$	0$	0$	No	902,500$	902,500$	Link
Alex Alexeyev	Wolf Pack (NYR)	D	20	1999-11-15	Yes	201 Lbs	6 ft4	No	No	No	3	Pro & Farm	894,167$	800,424$	450,000$	402,823$	0$	0$	No	894,167$	894,167$
Alexander True	Wolf Pack (NYR)	C	22	1997-07-17	No	201 Lbs	6 ft5	No	No	No	3	Pro & Farm	1,050,000$	939,919$	800,000$	716,129$	0$	0$	No	800,000$	800,000$	Link
Brendan Lemieux	Wolf Pack (NYR)	LW/RW	24	1996-03-14	No	210 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,039,167$	930,222$	1,039,167$	930,222$	0$	0$	No			Link
Christian Djoos	Wolf Pack (NYR)	D	25	1994-08-06	No	169 Lbs	6 ft0	No	No	No	1	Pro & Farm	650,000$	581,855$	650,000$	581,855$	0$	0$	No			Link
Connor Ingram	Wolf Pack (NYR)	G	23	1997-03-31	No	204 Lbs	6 ft1	No	No	No	2	Pro & Farm	925,000$	828,024$	925,000$	828,024$	0$	0$	No	925,000$		Link
Hayden Verbeek	Wolf Pack (NYR)	C/LW	22	1997-10-17	No	183 Lbs	5 ft10	No	No	No	3	Pro & Farm	776,666$	695,241$	776,666$	695,241$	0$	0$	No	776,666$	776,666$	Link
Igor Shesterkin	Wolf Pack (NYR)	G	24	1995-12-30	Yes	187 Lbs	6 ft1	No	No	No	2	Pro & Farm	3,775,000$	3,379,234$	3,775,000$	3,379,234$	0$	0$	No	3,775,000$
Isac Lundestrom	Wolf Pack (NYR)	C	20	1999-11-06	No	185 Lbs	6 ft0	No	No	No	2	Pro & Farm	925,000$	828,024$	450,000$	402,823$	0$	0$	No	925,000$		Link
Jack Hughes	Wolf Pack (NYR)	C/LW	19	2001-05-13	Yes	171 Lbs	5 ft10	No	No	No	3	Pro & Farm	3,775,000$	3,379,234$	3,775,000$	3,379,234$	0$	0$	No	3,775,000$	3,775,000$
Joachim Blichfeld	Wolf Pack (NYR)	RW	21	1998-07-16	Yes	180 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,290,000$	1,154,758$	790,000$	707,177$	0$	0$	No	790,000$	790,000$	Link
Johan Larsson	Wolf Pack (NYR)	C	27	1992-07-25	No	198 Lbs	5 ft11	No	No	No	3	Pro & Farm	1,475,000$	1,320,363$	1,475,000$	1,320,363$	0$	0$	No	1,475,000$	1,475,000$	Link
Kaapo Kakko	Wolf Pack (NYR)	RW	19	2001-02-13	Yes	190 Lbs	6 ft2	No	No	No	3	Pro & Farm	3,575,000$	3,200,202$	3,575,000$	3,200,202$	0$	0$	No	3,575,000$	3,575,000$
Kody Clark	Wolf Pack (NYR)	RW	20	1999-10-12	Yes	179 Lbs	6 ft1	No	No	No	3	Pro & Farm	894,167$	800,424$	894,167$	800,424$	0$	0$	No	894,167$	894,167$
Logan Brown	Wolf Pack (NYR)	C	22	1998-03-04	No	220 Lbs	6 ft6	No	No	No	2	Pro & Farm	1,573,333$	1,408,387$	1,573,333$	1,408,387$	0$	0$	No	1,573,333$		Link
Logan Stanley	Wolf Pack (NYR)	D	22	1998-05-25	No	228 Lbs	6 ft7	No	No	No	2	Pro & Farm	1,075,833$	963,044$	1,075,833$	963,044$	0$	0$	No	1,075,833$		Link
Matt Roy	Wolf Pack (NYR)	D	25	1995-02-28	No	200 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,200,000$	1,074,194$	700,000$	626,613$	0$	0$	No	700,000$	700,000$	Link
Rem Pitlick	Wolf Pack (NYR)	C/LW	23	1997-04-01	Yes	196 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	828,024$	925,000$	828,024$	0$	0$	No	925,000$	925,000$
Rudolfs Balcers	Wolf Pack (NYR)	LW	23	1997-04-08	No	165 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	828,024$	925,000$	828,024$	0$	0$	No	925,000$		Link
Ryan Graves	Wolf Pack (NYR)	D	25	1995-05-20	No	216 Lbs	6 ft5	No	No	No	2	Pro & Farm	650,000$	581,855$	650,000$	581,855$	0$	0$	No	650,000$		Link
Ryan Poehling	Wolf Pack (NYR)	C/LW	21	1999-01-02	Yes	183 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,491,667$	1,335,283$	1,491,667$	1,335,283$	0$	0$	No	1,491,667$	1,491,667$
Sam Lafferty	Wolf Pack (NYR)	C/LW/RW	25	1995-03-06	No	194 Lbs	6 ft1	No	No	No	3	Pro & Farm	975,000$	872,782$	925,000$	828,024$	0$	0$	No	925,000$	925,000$	Link
Victor Mete	Wolf Pack (NYR)	D	22	1998-06-07	No	184 Lbs	5 ft10	No	No	No	1	Pro & Farm	870,000$	778,790$	870,000$	778,790$	0$	0$	No			Link
Vitaly Abramov	Wolf Pack (NYR)	LW/RW	22	1998-05-08	No	172 Lbs	5 ft9	No	No	No	2	Pro & Farm	880,000$	787,742$	880,000$	787,742$	0$	0$	No	880,000$		Link
Vladislav Kamenev	Wolf Pack (NYR)	C/LW/RW	23	1996-08-12	No	194 Lbs	6 ft2	No	No	No	3	Pro & Farm	800,000$	716,129$	750,000$	671,371$	0$	0$	No	750,000$	750,000$	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
27	22.30	190 Lbs	6 ft1	2.48	1,373,395$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brendan Lemieux	Logan Brown	Kaapo Kakko	35	0	2	3
2	Jack Hughes	Isac Lundestrom	Vladislav Kamenev	30	0	2	3
3	Sam Lafferty	Johan Larsson	Vitaly Abramov	25	0	3	2
4	Rudolfs Balcers	Alexander True	Joachim Blichfeld	10	0	3	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ryan Graves	Christian Djoos	35	1	2	2
2	Matt Roy	Victor Mete	30	1	2	2
3	Adam Boqvist	Alex Alexeyev	25	1	2	2
4	Ryan Graves	Christian Djoos	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jack Hughes	Logan Brown	Kaapo Kakko	60	1	2	2
2	Brendan Lemieux	Isac Lundestrom	Vitaly Abramov	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Adam Boqvist	Christian Djoos	60	1	2	2
2	Ryan Graves	Victor Mete	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Johan Larsson	Brendan Lemieux	60	1	2	2
2	Sam Lafferty	Joachim Blichfeld	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ryan Graves	Christian Djoos	60	1	2	2
2	Matt Roy	Victor Mete	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Johan Larsson	60	1	2	2	Ryan Graves	Christian Djoos	60	1	2	2
2	Sam Lafferty	40	1	2	2	Matt Roy	Victor Mete	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Johan Larsson	Kaapo Kakko	60	1	2	2
2	Brendan Lemieux	Jack Hughes	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ryan Graves	Christian Djoos	60	1	2	2
2	Matt Roy	Victor Mete	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jack Hughes	Logan Brown	Kaapo Kakko	Ryan Graves	Christian Djoos

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Brendan Lemieux	Johan Larsson	Kaapo Kakko	Ryan Graves	Matt Roy

Extra Forwards
Normal	PowerPlay	Penalty Kill
Logan Brown, Alexander True, Johan Larsson	Logan Brown, Alexander True	Johan Larsson

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Adam Boqvist, Matt Roy, Victor Mete	Adam Boqvist	Matt Roy, Victor Mete

Penalty Shots
Johan Larsson, Kaapo Kakko, Brendan Lemieux, Jack Hughes, Isac Lundestrom

Goalie
#1 : Igor Shesterkin, #2 : Connor Ingram

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

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

	Overall												Home											Visitor
#	VS Team	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	PCT	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
1	Penguins	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	10	15	0	0	11	9	6	2	24	52	62	59	6	13	3	4	11	5	2	40.00%	2	0	100.00%	0	118	229	51.53%	105	193	54.40%	56	116	48.28%	216	155	178	58	94	49
2	Phantoms	3	2	0	0	0	0	0	1	10	8	2	1	0	0	0	0	0	0	1	4	5	-1	2	2	0	0	0	0	0	0	6	3	3	5	0.833	10	19	29	0	0	11	9	6	2	68	52	62	59	6	55	16	32	43	22	5	22.73%	15	0	100.00%	0	118	229	51.53%	105	193	54.40%	56	116	48.28%	216	155	178	58	94	49
3	Sound Tigers	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	11	9	6	2	28	52	62	59	6	21	6	12	15	9	0	0.00%	6	1	83.33%	0	118	229	51.53%	105	193	54.40%	56	116	48.28%	216	155	178	58	94	49
	Total	8	6	0	0	0	0	1	1	27	18	9	4	2	0	0	0	0	1	1	12	10	2	4	4	0	0	0	0	0	0	15	8	7	15	0.938	27	47	74	0	0	11	9	6	2	174	52	62	59	6	122	33	73	117	54	11	20.37%	32	1	96.88%	1	118	229	51.53%	105	193	54.40%	56	116	48.28%	216	155	178	58	94	49
5	Wolves	3	2	0	0	0	0	1	0	9	5	4	2	1	0	0	0	0	1	0	5	3	2	1	1	0	0	0	0	0	0	4	2	2	6	1.000	9	12	21	0	0	11	9	6	2	54	52	62	59	6	33	8	25	48	18	4	22.22%	9	0	100.00%	1	118	229	51.53%	105	193	54.40%	56	116	48.28%	216	155	178	58	94	49
	_Since Last GM Reset	8	6	0	0	0	0	1	1	27	18	9	4	2	0	0	0	0	1	1	12	10	2	4	4	0	0	0	0	0	0	15	8	7	15	0.938	27	47	74	0	0	11	9	6	2	174	52	62	59	6	122	33	73	117	54	11	20.37%	32	1	96.88%	1	118	229	51.53%	105	193	54.40%	56	116	48.28%	216	155	178	58	94	49
	_Vs Conference	4	3	0	0	0	0	0	1	15	11	4	1	0	0	0	0	0	0	1	4	5	-1	3	3	0	0	0	0	0	0	11	6	5	7	0.875	15	29	44	0	0	11	9	6	2	92	52	62	59	6	68	19	36	54	27	7	25.93%	17	0	100.00%	0	118	229	51.53%	105	193	54.40%	56	116	48.28%	216	155	178	58	94	49
	_Vs Division	5	3	0	0	0	0	0	1	18	13	5	2	0	0	0	0	0	0	1	7	7	0	3	3	0	0	0	0	0	0	11	6	5	7	0.700	18	35	53	0	0	11	9	6	2	120	52	62	59	6	89	25	48	69	36	7	19.44%	23	1	95.65%	0	118	229	51.53%	105	193	54.40%	56	116	48.28%	216	155	178	58	94	49

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
8	15	W7	27	47	74	174	122	33	73	117	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	6	0	0	0	1	1	27	18

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	0	0	0	1	1	12	10

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	4	0	0	0	0	0	15	8

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	0	0	0	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
54	11	20.37%	32	1	96.88%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
52	62	59	6	11	9	6	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
118	229	51.53%	105	193	54.40%	56	116	48.28%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
216	155	178	58	94	49

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
1 - 2020-09-27	1	Phantoms	5	Wolf Pack	4	L	X	X	BoxScore
3 - 2020-09-29	23	Wolves	1	Wolf Pack	2	W			BoxScore
4 - 2020-09-30	31	Wolf Pack	4	Wolves	2	W			BoxScore
5 - 2020-10-01	43	Wolves	2	Wolf Pack	3	W	X	X	BoxScore
7 - 2020-10-03	54	Wolf Pack	5	Penguins	3	W			BoxScore
8 - 2020-10-04	61	Wolf Pack	2	Phantoms	1	W			BoxScore
10 - 2020-10-06	75	Wolf Pack	4	Phantoms	2	W			BoxScore
12 - 2020-10-08	85	Sound Tigers	2	Wolf Pack	3	W			BoxScore
14 - 2020-10-10	91	Monsters	-	Wolf Pack	-
17 - 2020-10-13	110	IceHogs	-	Wolf Pack	-
19 - 2020-10-15	120	Wolf Pack	-	Bruins	-
21 - 2020-10-17	134	Penguins	-	Wolf Pack	-
22 - 2020-10-18	140	Wolf Pack	-	Sound Tigers	-
24 - 2020-10-20	156	Phantoms	-	Wolf Pack	-
26 - 2020-10-22	172	Wolf Pack	-	Flames	-
27 - 2020-10-23	181	Senators	-	Wolf Pack	-
28 - 2020-10-24	188	Wolf Pack	-	Sound Tigers	-
30 - 2020-10-26	198	Wolf Pack	-	Admirals	-
32 - 2020-10-28	209	Wolves	-	Wolf Pack	-
34 - 2020-10-30	224	Phantoms	-	Wolf Pack	-
36 - 2020-11-01	232	Wolf Pack	-	Flames	-
38 - 2020-11-03	244	Sound Tigers	-	Wolf Pack	-
40 - 2020-11-05	260	Marlies	-	Wolf Pack	-
42 - 2020-11-07	268	Wolf Pack	-	Sound Tigers	-
44 - 2020-11-09	280	Wolf Pack	-	Marlies	-
45 - 2020-11-10	287	Wolf Pack	-	Phantoms	-
46 - 2020-11-11	295	Monsters	-	Wolf Pack	-
48 - 2020-11-13	309	Monsters	-	Wolf Pack	-
49 - 2020-11-14	318	Wolf Pack	-	Penguins	-
51 - 2020-11-16	334	Rocket	-	Wolf Pack	-
52 - 2020-11-17	347	Wolf Pack	-	Monsters	-
53 - 2020-11-18	356	Griffins	-	Wolf Pack	-
54 - 2020-11-19	362	Wolf Pack	-	Monsters	-
55 - 2020-11-20	377	Bruins	-	Wolf Pack	-
57 - 2020-11-22	390	Wolf Pack	-	Admirals	-
58 - 2020-11-23	399	Wolf Pack	-	Wolves	-
59 - 2020-11-24	408	Crunch	-	Wolf Pack	-
60 - 2020-11-25	421	Stars	-	Wolf Pack	-
62 - 2020-11-27	433	Condors	-	Wolf Pack	-
64 - 2020-11-29	445	Wolf Pack	-	Condors	-
65 - 2020-11-30	457	Wolf Pack	-	Crunch	-
66 - 2020-12-01	465	Sharks	-	Wolf Pack	-
68 - 2020-12-03	479	Wolf Pack	-	Griffins	-
69 - 2020-12-04	487	Rocket	-	Wolf Pack	-
71 - 2020-12-06	498	Wolf Pack	-	Rocket	-
72 - 2020-12-07	509	Wolf Pack	-	Flames	-
73 - 2020-12-08	518	Phantoms	-	Wolf Pack	-
74 - 2020-12-09	529	Wolf Pack	-	Marlies	-
76 - 2020-12-11	541	Penguins	-	Wolf Pack	-
78 - 2020-12-13	553	Wolf Pack	-	Moose	-
79 - 2020-12-14	560	Monarchs	-	Wolf Pack	-
80 - 2020-12-15	571	Wolf Pack	-	Monarchs	-
81 - 2020-12-16	583	Wolf Pack	-	Wolves	-
83 - 2020-12-18	594	Rampage	-	Wolf Pack	-
85 - 2020-12-20	607	Crunch	-	Wolf Pack	-
86 - 2020-12-21	618	Penguins	-	Wolf Pack	-
87 - 2020-12-22	629	Wolf Pack	-	Bruins	-
89 - 2020-12-24	638	Wolf Pack	-	IceHogs	-
91 - 2020-12-26	648	Flames	-	Wolf Pack	-
92 - 2020-12-27	663	Sound Tigers	-	Wolf Pack	-
94 - 2020-12-29	672	Wolf Pack	-	Stars	-
95 - 2020-12-30	680	Wolf Pack	-	Sharks	-
96 - 2020-12-31	694	Moose	-	Wolf Pack	-
97 - 2021-01-01	705	Wolf Pack	-	Monsters	-
98 - 2021-01-02	712	Monsters	-	Wolf Pack	-
99 - 2021-01-03	724	Wolf Pack	-	Rampage	-
101 - 2021-01-05	735	Griffins	-	Wolf Pack	-
102 - 2021-01-06	748	Wolf Pack	-	Phantoms	-
103 - 2021-01-07	754	Wolf Pack	-	Penguins	-
104 - 2021-01-08	765	Penguins	-	Wolf Pack	-
105 - 2021-01-09	776	Wolf Pack	-	Penguins	-
Trade Deadline --- Trades can’t be done after this day is simulated!
107 - 2021-01-11	787	Admirals	-	Wolf Pack	-
108 - 2021-01-12	798	Wolf Pack	-	Senators	-
109 - 2021-01-13	804	Wolf Pack	-	Sound Tigers	-
111 - 2021-01-15	816	Senators	-	Wolf Pack	-
112 - 2021-01-16	830	Griffins	-	Wolf Pack	-
113 - 2021-01-17	838	Wolf Pack	-	Soldiers	-
115 - 2021-01-19	849	Wolves	-	Wolf Pack	-
117 - 2021-01-21	864	Sound Tigers	-	Wolf Pack	-
118 - 2021-01-22	871	Wolf Pack	-	Crunch	-
119 - 2021-01-23	882	Wolf Pack	-	Monsters	-
122 - 2021-01-26	894	Soldiers	-	Wolf Pack	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
37	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
501,475$	3,708,168$	3,456,251$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	399,261$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	111	37,767$	4,192,137$

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
2020	8	6	0	0	0	0	1	1	27	18	9	4	2	0	0	0	0	1	1	12	10	2	4	4	0	0	0	0	0	0	15	8	7	15	27	47	74	0	0	11	9	6	2	174	52	62	59	6	122	33	73	117	54	11	20.37%	32	1	96.88%	1	118	229	51.53%	105	193	54.40%	56	116	48.28%	216	155	178	58	94	49
Total Regular Season	8	6	0	0	0	0	1	1	27	18	9	4	2	0	0	0	0	1	1	12	10	2	4	4	0	0	0	0	0	0	15	8	7	15	27	47	74	0	0	11	9	6	2	174	52	62	59	6	122	33	73	117	54	11	20.37%	32	1	96.88%	1	118	229	51.53%	105	193	54.40%	56	116	48.28%	216	155	178	58	94	49