PSL - PROSIMLEAGUE.ca

Wild
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	Stefan Noesen			X		100.00	76	48	67	65	78	72	69	64	58	62	66	63	65	73	68	71	75	64	0
2	Yakov Trenin	X	X			100.00	64	48	88	65	81	75	73	66	70	63	62	64	66	65	63	71	75	64	0
3	Nikolay Goldobin		X			100.00	59	38	85	68	72	81	77	66	59	67	62	61	68	69	65	76	75	64	0
4	Frederik Gauthier	X				100.00	79	46	84	63	97	79	84	62	80	61	59	65	62	69	65	79	75	64	0
5	Michael Amadio	X				100.00	54	39	86	66	78	71	80	64	78	65	63	62	66	67	64	61	75	64	0
6	Michael McCarron	X		X		100.00	83	63	72	60	99	83	81	59	71	58	58	64	56	69	70	78	75	63	0
7	Sam Anas			X		100.00	57	37	83	65	61	87	88	63	68	64	58	56	63	73	67	58	75	62	0
8	Dominic Turgeon	X				100.00	63	47	88	62	80	83	76	60	74	59	57	63	61	67	64	66	75	62	0
9	Danick Martel		X			100.00	55	43	84	62	66	71	73	60	54	59	58	61	58	71	66	59	75	61	0
10	Logan O'Connor			X		100.00	57	43	89	62	69	77	78	61	54	59	60	58	62	67	63	56	75	61	0
11	Calvin Thurkauf	X	X			100.00	64	45	87	61	82	78	75	59	63	58	58	60	59	65	62	56	75	61	0
12	Nick Lappin			X		100.00	58	42	89	60	72	79	73	61	54	58	59	62	60	75	65	56	75	61	0
13	Alexandre Fortin		X			100.00	58	43	89	61	71	80	76	59	54	57	58	56	61	65	63	62	75	60	0
14	Isaac Ratcliffe (R)		X			100.00	74	52	83	56	92	85	87	55	51	54	54	59	53	61	62	76	75	60	0
15	Patrick Russell			X		100.00	68	39	82	55	78	69	66	53	51	54	50	62	55	73	67	38	75	59	0
16	Madison Bowey				X	100.00	78	47	72	67	81	83	78	66	30	73	58	68	51	69	64	71	75	66	0
17	Ben Harpur				X	100.00	78	59	77	60	99	86	78	59	30	58	56	67	52	69	65	58	75	63	0
18	Ethan Prow				X	100.00	53	45	89	63	68	84	86	61	30	62	57	56	45	75	68	57	75	62	0
19	Josh Jacobs				X	100.00	73	45	89	59	80	84	73	58	30	57	57	65	50	67	64	72	75	62	0
20	Dysin Mayo				X	100.00	62	51	86	56	76	87	89	54	30	52	53	57	45	67	64	56	75	59	0
Scratches
1	Bokondji Imama		X			100.00	70	67	65	56	82	80	79	55	51	53	54	57	53	67	64	61	75	59	0
2	Jens Looke			X		100.00	57	35	93	55	73	92	88	54	56	52	53	55	54	63	62	66	75	58	0
3	Ty Ronning			X		100.00	53	38	87	53	63	73	72	55	50	51	54	52	53	65	63	64	75	57	0
4	Yannick Rathgeb				X	100.00	62	40	80	55	78	80	74	54	30	53	52	55	46	67	64	61	75	58	0

	TEAM AVERAGE					100.00	65	46	83	61	78	80	78	60	53	59	57	60	57	68	65	64	75	61

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	Jared Coreau	100.00	68	86	84	92	67	66	68	67	66	68	67	77	83	56	75	64	0
2	Ken Appleby	100.00	70	66	64	88	69	68	70	69	68	70	69	67	71	52	75	63	0
Scratches

	TEAM AVERAGE	100.00	69	76	74	90	68	67	69	68	67	69	68	72	77	54	75	64

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Pascal Vincent	73	67	64	67	74	70	77	CAN	48	2	833,750$

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	EG	HT	P/20	PSG	PSS	FW	FT	S1	S2	S3
1	Yakov Trenin	Wild (MIN)	C/LW	67	37	47	84	23	14	0	61	130	313	106	261	11.82%	27	1383	20.65	10	9	19	72	184	1	1	2	5	220	5	3	56.99%	193	0	3	1.21	1	3	0	0	7	3	3
2	Michael McCarron	Wild (MIN)	C/RW	67	28	32	60	27	69	5	226	72	196	53	164	14.29%	13	1053	15.72	2	7	9	36	129	0	0	0	1	4	3	1	60.26%	78	0	2	1.14	1	1	1	0	6	2	4
3	Nikolay Goldobin	Wild (MIN)	LW	57	26	30	56	-3	8	0	73	150	296	108	238	8.78%	20	1223	21.47	2	6	8	28	102	1	0	1	4	66	4	2	45.63%	103	0	2	0.92	1	2	0	0	3	5	1
4	Michael Amadio	Wild (MIN)	C	55	18	34	52	23	2	0	8	148	193	50	131	9.33%	8	948	17.24	3	4	7	32	98	1	0	1	4	79	1	3	57.65%	1346	0	0	1.10	0	1	0	0	1	3	3
5	Josh Jacobs	Wild (MIN)	D	69	16	32	48	4	64	0	223	66	131	36	74	12.21%	112	1366	19.80	7	4	11	59	116	0	2	2	1	131	2	1	0.00%	0	0	0	0.70	0	0	0	0	1	2	3
6	Ethan Prow	Wild (MIN)	D	67	13	29	42	4	16	0	39	51	92	26	66	14.13%	99	1351	20.18	4	8	12	33	123	0	1	1	0	135	1	0	0.00%	0	0	0	0.62	0	0	0	0	2	2	3
7	Stefan Noesen	Wild (MIN)	RW	36	17	21	38	2	42	0	157	69	189	50	142	8.99%	20	741	20.59	2	7	9	34	90	0	0	0	0	1	1	2	54.17%	72	0	1	1.03	1	2	0	0	3	4	2
8	Sam Anas	Wild (MIN)	RW	67	15	21	36	13	6	0	31	89	163	51	125	9.20%	8	750	11.20	0	0	0	1	4	0	0	0	0	2	1	0	57.81%	64	1	0	0.96	0	1	0	0	0	1	2
9	Calvin Thurkauf	Wild (MIN)	C/LW	65	16	17	33	15	12	0	48	119	133	31	109	12.03%	12	713	10.97	0	0	0	0	1	0	0	0	0	4	1	2	51.53%	945	0	0	0.93	0	1	0	0	3	0	1
10	Madison Bowey	Wild (MIN)	D	27	7	26	33	7	32	0	137	52	46	23	34	15.22%	57	664	24.60	4	4	8	18	70	0	0	0	0	58	2	0	0.00%	0	0	0	0.99	0	0	0	0	3	2	1
11	Dominic Turgeon	Wild (MIN)	C	65	15	15	30	12	16	0	35	61	71	19	56	21.13%	6	371	5.71	0	0	0	0	0	0	0	0	0	0	2	0	57.58%	488	0	1	1.62	0	1	0	0	2	2	1
12	Logan O'Connor	Wild (MIN)	RW	67	10	15	25	14	19	5	29	43	78	18	55	12.82%	2	408	6.09	0	0	0	0	2	0	0	0	0	2	2	1	39.02%	41	0	0	1.22	0	1	0	0	0	0	5
13	Danick Martel	Wild (MIN)	LW	67	6	17	23	15	6	0	22	48	66	25	49	9.09%	4	411	6.14	0	0	0	1	5	0	0	0	0	0	0	0	48.48%	33	0	0	1.12	0	1	0	0	1	2	0
14	Dysin Mayo	Wild (MIN)	D	67	4	19	23	20	31	5	92	41	38	26	35	10.53%	49	970	14.48	0	1	1	3	8	0	0	0	0	63	1	0	0.00%	0	0	0	0.47	0	0	0	1	1	0	2
15	Isaac Ratcliffe	Wild (MIN)	LW	67	4	17	21	17	31	5	114	52	92	26	70	4.35%	16	736	10.99	0	0	0	0	0	0	0	0	0	0	1	1	61.67%	60	0	0	0.57	0	0	0	1	0	0	1
16	Yannick Rathgeb	Wild (MIN)	D	55	2	11	13	14	26	0	95	27	38	9	27	5.26%	39	762	13.87	0	0	0	2	5	0	0	0	2	8	0	0	0.00%	0	0	0	0.34	0	0	0	0	0	1	1
17	Frederik Gauthier	Wild (MIN)	C	6	1	5	6	4	6	0	10	24	13	8	21	7.69%	3	138	23.03	0	2	2	1	17	0	0	0	1	17	1	0	62.80%	207	0	0	0.87	0	0	0	0	1	0	0
18	Nick Lappin	Wild (MIN)	RW	67	0	1	1	0	0	0	2	5	1	0	1	0.00%	4	34	0.51	0	0	0	0	2	0	0	0	0	0	0	0	47.62%	21	0	0	0.58	0	0	0	0	0	0	0
19	Bokondji Imama	Wild (MIN)	LW	2	0	0	0	0	0	0	4	3	0	0	1	0.00%	1	18	9.24	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0
20	Patrick Russell	Wild (MIN)	RW	2	0	0	0	0	0	0	0	1	0	0	0	0.00%	1	17	8.93	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0
21	Jens Looke	Wild (MIN)	RW	2	0	0	0	0	0	0	2	1	0	0	0	0.00%	1	4	2.48	0	0	0	0	0	0	0	0	0	1	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0
22	Alexandre Fortin	Wild (MIN)	LW	2	0	0	0	0	0	0	1	2	3	1	1	0.00%	0	30	15.28	0	0	0	0	0	0	0	0	0	0	0	0	43.75%	16	0	0	0.00	0	0	0	0	0	0	0
23	Ben Harpur	Wild (MIN)	D	1	0	0	0	0	17	5	1	0	0	0	0	0.00%	1	1	1.95	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0
Team Total or Average				1047	235	389	624	211	417	25	1410	1254	2152	666	1660	10.92%	503	14102	13.47	34	52	86	320	966	3	4	7	18	799	28	16	55.63%	3667	1	9	0.88	4	14	1	2	34	29	33

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	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Jared Coreau	Wild (MIN)	67	39	19	7	0.903	3.68	3834	6	235	2414	1	1	0.765	17	67	0	2	4	3
2	Ken Appleby	Wild (MIN)	6	1	1	0	0.975	0.80	224	0	3	122	0	1	0.000	0	0	67	0	0	0
Team Total or Average			73	40	20	7	0.906	3.52	4058	6	238	2536	1	2	0.765	17	67	67	2	4	3

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
Alexandre Fortin	LW	23	1997-02-25	No	184 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	706,666$	0$	0$	No	Link / NHL Link
Ben Harpur	D	25	1995-01-12	No	231 Lbs	6 ft6	No	No	No	1	RFA	Pro & Farm	725,000$	0$	0$	No	Link / NHL Link
Bokondji Imama	LW	24	1996-08-03	No	221 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	706,667$	0$	0$	No	Link / NHL Link
Calvin Thurkauf	C/LW	23	1997-06-27	No	204 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	714,444$	0$	0$	No	Link / NHL Link
Danick Martel	LW	25	1994-12-12	No	184 Lbs	5 ft9	No	No	No	3	RFA	Pro & Farm	700,000$	0$	0$	No	Link / NHL Link
Dominic Turgeon	C	24	1996-02-25	No	199 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	686,667$	0$	0$	No	Link / NHL Link
Dysin Mayo	D	24	1996-08-17	No	194 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	715,000$	0$	0$	No	Link / NHL Link
Ethan Prow	D	27	1992-11-17	No	180 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	730,000$	0$	0$	No	Link / NHL Link
Frederik Gauthier	C	25	1995-04-26	No	239 Lbs	6 ft5	No	No	No	1	RFA	Pro & Farm	675,000$	0$	0$	No	Link / NHL Link
Isaac Ratcliffe	LW	21	1999-02-15	Yes	200 Lbs	6 ft6	No	No	No	2	ELC	Pro & Farm	780,833$	0$	0$	No	Link / NHL Link
Jared Coreau	G	28	1991-11-05	No	214 Lbs	6 ft5	No	No	No	1	UFA	Pro & Farm	575,000$	0$	0$	No	Link / NHL Link
Jens Looke	RW	23	1997-04-11	No	180 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	767,500$	0$	0$	No	Link / NHL Link
Josh Jacobs	D	24	1996-02-15	No	200 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	700,000$	0$	0$	No	Link / NHL Link
Ken Appleby	G	25	1995-04-10	No	210 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	650,000$	0$	0$	No	Link / NHL Link
Logan O'Connor	RW	24	1996-08-14	No	175 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Madison Bowey	D	25	1995-04-22	No	202 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Michael Amadio	C	24	1996-05-13	No	204 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	717,500$	0$	0$	No	Link / NHL Link
Michael McCarron	C/RW	25	1995-03-07	No	232 Lbs	6 ft6	No	No	No	4	RFA	Pro & Farm	700,000$	0$	0$	No	Link / NHL Link
Nick Lappin	RW	27	1992-11-01	No	175 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	842,000$	0$	0$	No	Link / NHL Link
Nikolay Goldobin	LW	24	1995-10-07	No	196 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Patrick Russell	RW	27	1993-01-04	No	203 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	725,000$	0$	0$	No	Link / NHL Link
Sam Anas	RW	27	1993-06-01	No	163 Lbs	5 ft8	No	No	No	1	RFA	Pro & Farm	792,500$	0$	0$	No	Link / NHL Link
Stefan Noesen	RW	27	1993-02-12	No	205 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	660,000$	0$	0$	No	Link / NHL Link
Ty Ronning	RW	22	1997-10-20	No	167 Lbs	5 ft9	No	No	No	1	ELC	Pro & Farm	750,833$	0$	0$	No	Link / NHL Link
Yakov Trenin	C/LW	23	1997-01-13	No	201 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	730,833$	0$	0$	No	Link / NHL Link
Yannick Rathgeb	D	24	1995-10-24	No	187 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
26	24.62	198 Lbs	6 ft2	1.73	750,056$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2	Yakov Trenin		Michael McCarron	30	1	2	2
3	Isaac Ratcliffe	Calvin Thurkauf	Sam Anas	20	1	2	2
4	Danick Martel	Dominic Turgeon	Logan O'Connor	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2	Ethan Prow	Josh Jacobs	30	1	2	2
3	Dysin Mayo		20	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Yakov Trenin			60	1	2	2
2			Michael McCarron	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Ethan Prow	Josh Jacobs	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Yakov Trenin	60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Ethan Prow	Josh Jacobs	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2		40	1	2	2	Ethan Prow	Josh Jacobs	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Yakov Trenin	60	1	2	2
2			40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Ethan Prow	Josh Jacobs	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Yakov Trenin

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Yakov Trenin

Extra Forwards
Normal	PowerPlay	Penalty Kill
, Michael McCarron, Sam Anas	, Michael McCarron

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Josh Jacobs, Dysin Mayo,	Josh Jacobs	Josh Jacobs, Dysin Mayo

Penalty Shots
, Yakov Trenin, , ,

Goalie
#1 : Jared Coreau, #2 : Ken Appleby

Custom OT Lines Forwards
, Yakov Trenin, , , , Michael McCarron, Michael McCarron, Sam Anas, Dominic Turgeon, Logan O'Connor, Nick Lappin

Custom OT Lines Defensemen
, , Ethan Prow, Josh Jacobs, Dysin Mayo

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
67	87	W3	289	529	818	2694	2538	774	532	1788	2	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
67	31	20	7	6	2	1	289	241

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
35	17	11	3	2	1	1	153	127

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
32	14	9	4	4	1	0	136	114

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	2	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
199	47	23.62%	214	51	76.17%	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
893	858	901	58	119	75	86	11

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1323	2614	50.61%	1240	2516	49.28%	588	1158	50.78%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1638	1163	1580	474	845	421

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 - 2020-10-02	9	Wild	1	Admirals	2	L	X		BoxScore
4 - 2020-10-04	27	Wild	8	Eagles	3	W			BoxScore
9 - 2020-10-09	53	Wild	3	Moose	4	L	X		BoxScore
11 - 2020-10-11	71	Penguins	4	Wild	3	L			BoxScore
13 - 2020-10-13	79	Wild	6	Senators	5	W	X		BoxScore
14 - 2020-10-14	85	Wild	4	Marlies	2	W			BoxScore
16 - 2020-10-16	99	Wild	6	Rocket	4	W			BoxScore
19 - 2020-10-19	125	Rocket	3	Wild	4	W			BoxScore
21 - 2020-10-21	139	Condors	6	Wild	5	L			BoxScore
23 - 2020-10-23	150	Wild	7	Admirals	4	W			BoxScore
25 - 2020-10-25	167	Reign	3	Wild	2	L	X	X	BoxScore
28 - 2020-10-28	186	Wild	6	Stars	5	W	X		BoxScore
29 - 2020-10-29	190	Wild	2	Rampage	3	L			BoxScore
32 - 2020-11-01	213	Rampage	3	Wild	2	L			BoxScore
35 - 2020-11-04	233	Wild	2	Gulls	6	L			BoxScore
37 - 2020-11-06	247	Wild	6	Barracuda	4	W			BoxScore
39 - 2020-11-08	259	Wild	2	Roadrunners	4	L			BoxScore
42 - 2020-11-11	279	Wild	4	Reign	3	W	X	X	BoxScore
44 - 2020-11-13	289	Roadrunners	3	Wild	2	L	X		BoxScore
46 - 2020-11-15	299	Checkers	4	Wild	5	W	X		BoxScore
49 - 2020-11-18	318	Wild	4	Americans	5	L			BoxScore
51 - 2020-11-20	340	Eagles	3	Wild	4	W			BoxScore
53 - 2020-11-22	353	Wild	3	Bruins	5	L			BoxScore
55 - 2020-11-24	366	Wild	5	Wolf Pack	3	W			BoxScore
56 - 2020-11-25	375	Wild	6	Devils	3	W			BoxScore
59 - 2020-11-28	395	Senators	5	Wild	3	L			BoxScore
61 - 2020-11-30	416	Stars	4	Wild	3	L			BoxScore
63 - 2020-12-02	426	Wild	3	Thunderbirds	4	L			BoxScore
65 - 2020-12-04	440	Wild	4	Crunch	5	L	X		BoxScore
67 - 2020-12-06	459	Wild	5	Checkers	3	W			BoxScore
70 - 2020-12-09	476	Gulls	2	Wild	4	W			BoxScore
72 - 2020-12-11	493	Condors	3	Wild	9	W			BoxScore
74 - 2020-12-13	507	Phantoms	3	Wild	2	L	X		BoxScore
75 - 2020-12-14	516	Wild	3	IceHogs	2	W	X		BoxScore
77 - 2020-12-16	533	Wild	3	Wolves	4	L			BoxScore
79 - 2020-12-18	546	Wild	3	Roadrunners	2	W			BoxScore
81 - 2020-12-20	554	Moose	5	Wild	3	L			BoxScore
83 - 2020-12-22	570	Heat	4	Wild	5	W			BoxScore
87 - 2020-12-26	586	Wild	4	Eagles	1	W			BoxScore
89 - 2020-12-28	605	Sound Tigers	5	Wild	3	L			BoxScore
91 - 2020-12-30	616	Marlies	1	Wild	8	W			BoxScore
95 - 2021-01-03	643	Moose	5	Wild	1	L			BoxScore
96 - 2021-01-04	656	Heat	3	Wild	6	W			BoxScore
100 - 2021-01-08	685	Wild	4	Heat	1	W			BoxScore
103 - 2021-01-11	704	Comets	3	Wild	4	W	X		BoxScore
105 - 2021-01-13	718	Wild	4	Penguins	1	W			BoxScore
107 - 2021-01-15	736	Crunch	4	Wild	2	L			BoxScore
109 - 2021-01-17	753	Stars	4	Wild	5	W			BoxScore
111 - 2021-01-19	760	Thunderbirds	5	Wild	6	W			BoxScore
113 - 2021-01-21	767	Griffins	7	Wild	5	L			BoxScore
123 - 2021-01-31	802	Bruins	3	Wild	5	W			BoxScore
126 - 2021-02-03	821	IceHogs	4	Wild	6	W			BoxScore
128 - 2021-02-05	835	Comets	3	Wild	4	W	X	X	BoxScore
129 - 2021-02-06	842	Wild	3	Stars	5	L			BoxScore
131 - 2021-02-08	859	Eagles	3	Wild	5	W			BoxScore
133 - 2021-02-10	871	Wolves	4	Wild	8	W			BoxScore
135 - 2021-02-12	887	Wolf Pack	2	Wild	6	W			BoxScore
137 - 2021-02-14	899	Barracuda	3	Wild	6	W			BoxScore
141 - 2021-02-18	932	Wild	3	Comets	4	L			BoxScore
143 - 2021-02-20	946	Wild	6	Condors	2	W			BoxScore
145 - 2021-02-22	964	Rampage	5	Wild	2	L			BoxScore
147 - 2021-02-24	978	Monsters	4	Wild	5	W	X		BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2021-02-26	989	Wild	7	Griffins	6	W	X		BoxScore
150 - 2021-02-27	995	Wild	5	Monsters	6	L	X		BoxScore
152 - 2021-03-01	1014	Bears	1	Wild	3	W			BoxScore
154 - 2021-03-03	1023	Admirals	3	Wild	7	W			BoxScore
156 - 2021-03-05	1042	Wild	4	Barracuda	3	W			BoxScore
158 - 2021-03-07	1052	Wild	-	Reign	-
159 - 2021-03-08	1063	Wild	-	Gulls	-
163 - 2021-03-12	1089	Wolves	-	Wild	-
165 - 2021-03-14	1098	Wild	-	Phantoms	-
166 - 2021-03-15	1116	Admirals	-	Wild	-
168 - 2021-03-17	1127	IceHogs	-	Wild	-
170 - 2021-03-19	1143	Wild	-	IceHogs	-
171 - 2021-03-20	1148	Wild	-	Moose	-
174 - 2021-03-23	1172	Eagles	-	Wild	-
177 - 2021-03-26	1198	Devils	-	Wild	-
179 - 2021-03-28	1213	Americans	-	Wild	-
180 - 2021-03-29	1220	Wild	-	Rampage	-
182 - 2021-03-31	1229	Wild	-	Sound Tigers	-
184 - 2021-04-02	1248	Wild	-	Bears	-
186 - 2021-04-04	1267	Wild	-	Admirals	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	64,419	34,263
Attendance PCT	92.03%	97.89%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
4	2819 - 93.98%	98,879$	3,460,763$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,412,963$	1,950,144$	1,875,061$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	1,709,140$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
593,274$	29	14,967$	434,043$

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
1	78	52	17	0	4	4	1	0	564	424	140	39	26	7	0	4	1	1	0	280	185	95	39	26	10	0	0	3	0	0	284	239	45	118	564	965	1529	1	0	0	118	225	216	3049	0	908	1031	1099	2247	709	1058	1937	355	203	57.18%	311	119	61.74%	14	859	1651	52.03%	669	1324	50.53%	975	1838	53.05%	1740	1039	1669	650	1282	660
2019	82	38	32	0	6	1	4	1	235	219	16	41	24	13	0	3	0	0	1	129	112	17	41	14	19	0	3	1	4	0	106	107	-1	98	235	428	663	3	4	0	84	87	54	2675	0	932	887	826	2655	769	623	1896	265	57	21.51%	267	57	78.65%	2	1491	2895	51.50%	1516	2847	53.25%	670	1258	53.26%	2074	1458	1840	584	1047	531
2020	67	31	20	0	7	6	2	1	289	241	48	35	17	11	0	3	2	1	1	153	127	26	32	14	9	0	4	4	1	0	136	114	22	87	289	529	818	2	0	119	75	86	11	2694	893	858	901	58	2538	774	532	1788	199	47	23.62%	214	51	76.17%	5	1323	2614	50.61%	1240	2516	49.28%	588	1158	50.78%	1638	1163	1580	474	845	421
Total Regular Season	227	121	69	0	17	11	7	2	1088	884	204	115	67	31	0	10	3	2	2	562	424	138	112	54	38	0	7	8	5	0	526	460	66	303	1088	1922	3010	6	4	119	277	398	281	8418	893	2698	2819	1983	7440	2252	2213	5621	819	307	37.48%	792	227	71.34%	21	3673	7160	51.30%	3425	6687	51.22%	2233	4254	52.49%	5453	3661	5091	1709	3175	1614
Playoff
1	4	0	4	0	0	0	0	0	14	27	-13	2	0	2	0	0	0	0	0	11	18	-7	2	0	2	0	0	0	0	0	3	9	-6	0	14	25	39	1	0	0	4	5	5	145	0	52	43	47	154	68	45	89	8	3	37.50%	20	9	55.00%	1	45	81	55.56%	59	103	57.28%	43	87	49.43%	88	54	86	34	66	33
2019	9	5	4	0	0	0	0	0	26	22	4	4	2	2	0	0	0	0	0	10	9	1	5	3	2	0	0	0	0	0	16	13	3	10	26	49	75	0	1	0	8	9	8	331	0	98	104	128	350	90	48	204	29	4	13.79%	23	3	86.96%	0	185	334	55.39%	156	350	44.57%	67	139	48.20%	214	152	215	64	110	53
Total Playoff	13	5	8	0	0	0	0	0	40	49	-9	6	2	4	0	0	0	0	0	21	27	-6	7	3	4	0	0	0	0	0	19	22	-3	10	40	74	114	1	1	0	12	14	13	476	0	150	147	175	504	158	93	293	37	7	18.92%	43	12	72.09%	1	230	415	55.42%	215	453	47.46%	110	226	48.67%	302	207	301	99	177	86