PSL - PROSIMLEAGUE.ca

Predators
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	Zach Aston-Reese	X				100.00	91	46	78	66	75	77	79	65	59	64	64	82	65	71	66	42	75	67	0
2	Ivan Barbashev	X				100.00	81	45	87	68	72	79	88	67	76	65	66	78	68	69	67	74	75	67	0
3	Kenny Agostino		X			100.00	72	46	85	64	75	80	78	63	59	65	62	66	63	75	68	57	75	65	0
4	Adam Helewka		X			100.00	63	36	90	62	77	92	89	61	67	61	59	61	60	67	64	61	75	63	0
5	Tyler Graovac	X				100.00	67	46	83	62	91	69	71	63	75	59	61	64	62	73	67	52	75	63	0
6	Dominic Toninato	X				100.00	63	47	82	61	79	80	78	59	65	58	60	62	59	71	66	57	75	62	0
7	Filip Chlapik	X				100.00	67	46	86	63	79	74	75	61	68	60	59	62	63	65	64	72	75	62	0
8	Mikhail Vorobyev	X				100.00	62	46	87	61	79	78	77	62	71	60	59	63	62	65	63	62	75	62	0
9	Kyle Rau	X				100.00	56	39	84	63	64	79	80	62	56	61	60	59	63	75	68	53	75	62	0
10	Lias Andersson	X	X			100.00	63	42	84	61	75	77	78	62	74	58	59	60	65	63	62	87	75	61	0
11	David Kase			X		100.00	57	39	83	62	66	79	76	60	54	59	58	61	59	65	64	58	75	61	0
12	Ryan Haggerty			X		100.00	61	51	86	57	74	84	87	56	53	55	58	59	57	73	67	58	75	61	0
13	Kieffer Bellows		X			100.00	63	50	84	61	76	83	80	59	52	57	60	58	61	63	65	83	75	61	0
14	Nikita Jevpalovs			X		100.00	66	49	88	60	79	87	89	58	53	56	56	57	60	71	66	59	75	61	0
15	Eric Cornel			X		100.00	64	46	86	57	79	89	92	56	53	55	55	58	56	67	64	71	75	60	0
16	Rob O'Gara				X	100.00	74	52	83	55	88	78	77	56	30	53	54	58	45	73	67	58	75	60	0
17	Frederic Allard				X	100.00	57	48	88	61	73	87	89	59	30	58	53	56	45	65	63	64	75	60	0
18	Jake Walman				X	100.00	57	43	88	60	71	78	75	59	30	58	57	61	53	67	64	63	75	60	0
19	Yegor Rykov (R)				X	100.00	68	43	89	61	82	73	72	59	30	58	53	57	46	65	63	57	75	60	0
Scratches
1	Rem Pitlick (R)		X			100.00	54	49	85	60	72	87	89	58	55	56	59	54	58	65	63	64	75	60	0
2	Garret Ross		X			100.00	58	45	66	59	71	78	72	58	54	52	55	56	54	73	67	58	75	59	0
3	Connor Dewar (R)	X				100.00	51	42	88	57	58	85	84	55	63	56	54	53	54	61	62	57	75	58	0
4	Simon Holmstrom (R)			X		100.00	58	41	79	59	74	82	81	57	51	53	56	54	57	59	60	83	75	58	0
5	Jeremy Davies (R)				X	100.00	53	48	83	62	57	87	88	61	30	59	53	52	46	67	64	58	75	59	0

	TEAM AVERAGE					100.00	64	45	84	61	74	81	81	60	55	58	58	60	58	68	65	63	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	Marcus Hogberg	100.00	73	75	73	91	72	71	73	72	71	73	72	71	75	62	75	65	0
2	Ivan Prosvetov (R)	100.00	72	76	74	84	71	70	72	71	70	72	71	61	65	62	75	63	0
Scratches
1	Kevin Lankinen	100.00	68	72	70	77	67	66	68	67	66	68	67	69	73	58	75	61	0
2	Brandon Halverson	100.00	60	58	56	88	59	58	60	59	58	60	59	67	71	67	75	57	0

	TEAM AVERAGE	100.00	68	70	68	85	67	66	68	67	66	68	67	67	71	62	75	62

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Clark Donatelli	40	40	40	40	40	40	40	USA	54	2	632,500$

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	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Zach Aston-Reese	Admirals (NSH)	C	41	26	35	61	5	35	5	190	177	240	68	195	10.83%	37	939	22.91	4	8	12	30	98	11	107	4	2	49.35%	1001	0	1	1.30	1	1	0	0	1	9	3	3
2	Ivan Barbashev	Admirals (NSH)	C	43	29	26	55	-3	28	0	114	223	288	77	222	10.07%	28	1050	24.44	6	6	12	48	114	8	121	5	1	56.76%	1494	0	0	1.05	0	1	0	0	0	6	5	3
3	Adam Helewka	Admirals (NSH)	LW	47	17	24	41	3	12	0	20	73	143	33	113	11.89%	10	858	18.27	2	6	8	21	121	0	3	2	0	57.81%	64	0	0	0.95	0	0	0	0	0	0	2	1
4	Kenny Agostino	Admirals (NSH)	LW	47	13	27	40	-8	23	5	87	107	225	63	164	5.78%	12	1004	21.36	1	6	7	33	131	1	65	3	0	48.98%	147	1	0	0.80	0	1	0	1	0	2	1	2
5	Jake Walman	Admirals (NSH)	D	47	10	24	34	-1	20	0	68	47	67	26	50	14.93%	77	1125	23.94	3	7	10	32	127	0	113	1	0	0.00%	0	0	0	0.60	0	0	0	0	0	1	1	2
6	Tyler Graovac	Admirals (NSH)	C	47	11	22	33	-3	26	0	71	132	143	46	101	7.69%	15	715	15.23	0	0	0	0	0	2	54	0	0	58.13%	879	0	0	0.92	1	1	0	0	0	2	1	0
7	David Kase	Admirals (NSH)	RW	47	9	23	32	0	0	0	19	71	151	40	109	5.96%	9	855	18.19	1	6	7	18	121	0	0	1	0	54.39%	57	0	0	0.75	0	0	0	0	0	0	0	4
8	Kyle Rau	Admirals (NSH)	C	47	17	14	31	-5	2	0	27	75	139	39	89	12.23%	6	757	16.11	0	0	0	0	0	0	0	3	1	47.62%	231	0	0	0.82	0	0	0	0	0	2	2	0
9	Kieffer Bellows	Admirals (NSH)	LW	47	10	19	29	-2	20	0	53	66	131	19	100	7.63%	11	736	15.67	0	1	1	3	2	1	78	3	0	43.12%	109	0	0	0.79	0	0	0	0	0	2	3	1
10	Nikita Jevpalovs	Admirals (NSH)	RW	47	9	19	28	-8	14	10	37	51	121	26	86	7.44%	4	927	19.74	3	5	8	23	131	0	0	0	1	44.16%	77	0	0	0.60	0	0	1	0	1	0	0	1
11	Mikhail Vorobyev	Admirals (NSH)	C	47	9	16	25	-10	32	0	93	46	74	27	54	12.16%	49	883	18.79	7	3	10	42	124	0	1	0	0	100.00%	1	0	0	0.57	0	0	0	0	0	0	2	0
12	Filip Chlapik	Admirals (NSH)	C	47	2	20	22	-2	26	0	95	60	30	17	34	6.67%	57	737	15.69	0	2	2	4	8	0	23	0	0	50.00%	40	0	0	0.60	0	0	0	0	0	0	1	0
13	Frederic Allard	Admirals (NSH)	D	47	3	19	22	-7	25	5	83	46	57	13	46	5.26%	53	1027	21.86	3	4	7	28	126	0	128	0	1	0.00%	0	0	0	0.43	0	0	0	0	1	0	1	1
14	Yegor Rykov	Admirals (NSH)	D	47	3	15	18	2	48	0	130	34	45	12	38	6.67%	60	1108	23.58	0	3	3	22	126	1	98	0	0	0.00%	0	0	0	0.32	0	0	0	0	0	0	0	1
15	Dominic Toninato	Admirals (NSH)	C	9	0	0	0	3	17	5	7	7	7	2	1	0.00%	7	120	13.39	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0	0
Team Total or Average				657	168	303	471	-36	328	30	1094	1215	1861	508	1402	9.03%	435	12846	19.55	30	57	87	304	1236	24	799	22	6	53.78%	4100	1	1	0.73	2	4	1	1	3	24	22	19

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
1	Marcus Hogberg	Admirals (NSH)	46	23	22	1	0.900	3.60	2718	6	163	1635	2	3	0.750	4	46	0	2	2
2	Ivan Prosvetov	Admirals (NSH)	3	0	1	0	0.931	3.19	113	0	6	87	0	0	0.000	0	1	47	0	1
Team Total or Average			49	23	23	1	0.902	3.58	2831	6	169	1722	2	3	0.750	4	47	47	2	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
Adam Helewka	LW	25	1995-07-21	No	200 Lbs	6 ft1	No	No	No	5	RFA	Pro & Farm	700,000$	0$	0$	No	Link / NHL Link
Brandon Halverson	G	24	1996-03-29	No	210 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	772,500$	0$	0$	No	Link / NHL Link
Connor Dewar	C	21	1999-06-26	Yes	184 Lbs	5 ft1	No	No	No	2	ELC	Pro & Farm	825,833$	0$	0$	No	Link / NHL Link
David Kase	RW	23	1997-01-28	No	169 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	768,333$	0$	0$	No	Link / NHL Link
Dominic Toninato	C	26	1994-03-09	No	191 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Eric Cornel	RW	24	1996-04-11	No	195 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	700,000$	0$	0$	No	Link / NHL Link
Filip Chlapik	C	23	1997-06-03	No	194 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	728,333$	0$	0$	No	Link / NHL Link
Frederic Allard	D	22	1997-12-27	No	179 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	714,166$	0$	0$	No	Link / NHL Link
Garret Ross	LW	28	1992-05-26	No	176 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	600,000$	0$	0$	No	Link / NHL Link
Ivan Barbashev	C	24	1995-12-14	No	187 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	741,667$	0$	0$	No	Link / NHL Link
Ivan Prosvetov	G	21	1999-03-04	Yes	175 Lbs	6 ft5	No	No	No	2	ELC	Pro & Farm	809,167$	0$	0$	No	Link / NHL Link
Jake Walman	D	24	1996-02-20	No	170 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Jeremy Davies	D	23	1996-12-04	Yes	180 Lbs	5 ft1	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Kenny Agostino	LW	28	1992-04-30	No	204 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	875,000$	0$	0$	No	Link / NHL Link
Kevin Lankinen	G	25	1995-04-28	No	185 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Kieffer Bellows	LW	22	1998-06-10	No	195 Lbs	6 ft1	No	No	No	1	ELC	Pro & Farm	894,166$	0$	0$	No	Link / NHL Link
Kyle Rau	C	27	1992-10-24	No	176 Lbs	5 ft8	No	No	No	1	RFA	Pro & Farm	700,000$	0$	0$	No	Link / NHL Link
Lias Andersson	C/LW	21	1998-10-13	No	190 Lbs	6 ft1	No	No	No	1	ELC	Pro & Farm	894,166$	0$	0$	No	Link / NHL Link
Marcus Hogberg	G	25	1994-11-25	No	209 Lbs	6 ft5	No	No	No	3	RFA	Pro & Farm	700,000$	0$	0$	No	Link / NHL Link
Mikhail Vorobyev	C	23	1997-01-05	No	194 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	784,167$	0$	0$	No	Link / NHL Link
Nikita Jevpalovs	RW	26	1994-09-09	No	210 Lbs	6 ft1	No	No	No	5	RFA	Pro & Farm	700,000$	0$	0$	No	Link / NHL Link
Rem Pitlick	LW	23	1997-04-02	Yes	196 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Rob O'Gara	D	27	1993-07-06	No	214 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Ryan Haggerty	RW	27	1993-03-04	No	200 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	650,000$	0$	0$	No	Link / NHL Link
Simon Holmstrom	RW	19	2001-05-24	Yes	183 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Tyler Graovac	C	27	1993-04-27	No	208 Lbs	6 ft5	No	No	No	1	RFA	Pro & Farm	625,000$	0$	0$	No	Link / NHL Link
Yegor Rykov	D	23	1997-04-14	Yes	210 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Zach Aston-Reese	C	26	1994-08-10	No	204 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
28	24.18	192 Lbs	6 ft1	1.68	802,054$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Kenny Agostino	Ivan Barbashev	Nikita Jevpalovs	34	1	2	2
2	Adam Helewka	Zach Aston-Reese	David Kase	30	1	2	2
3	Kieffer Bellows	Tyler Graovac	Kyle Rau	23	1	2	2
4	Ivan Barbashev	Kyle Rau	Zach Aston-Reese	13	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Yegor Rykov	Jake Walman	40	1	2	2
2	Frederic Allard	Mikhail Vorobyev	30	1	2	2
3	Filip Chlapik		20	1	2	2
4	Yegor Rykov	Jake Walman	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Kenny Agostino	Ivan Barbashev	Nikita Jevpalovs	60	1	2	2
2	Adam Helewka	Zach Aston-Reese	David Kase	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Yegor Rykov	Jake Walman	60	1	2	2
2	Frederic Allard	Mikhail Vorobyev	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Ivan Barbashev	Zach Aston-Reese	60	1	2	2
2	Kenny Agostino	Tyler Graovac	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Yegor Rykov	Jake Walman	60	1	2	2
2	Frederic Allard		40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Ivan Barbashev	60	1	2	2	Yegor Rykov	Jake Walman	60	1	2	2
2	Zach Aston-Reese	40	1	2	2	Frederic Allard		40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Ivan Barbashev	Zach Aston-Reese	60	1	2	2
2	Kenny Agostino	Tyler Graovac	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Yegor Rykov	Jake Walman	60	1	2	2
2	Frederic Allard		40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Kenny Agostino	Ivan Barbashev	Nikita Jevpalovs	Yegor Rykov	Jake Walman

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Kenny Agostino	Ivan Barbashev	Nikita Jevpalovs	Yegor Rykov	Jake Walman

Extra Forwards
Normal	PowerPlay	Penalty Kill
Filip Chlapik, , Kieffer Bellows	Filip Chlapik,	Kieffer Bellows

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Frederic Allard, Yegor Rykov, Jake Walman	Frederic Allard	Yegor Rykov, Jake Walman

Penalty Shots
Ivan Barbashev, Zach Aston-Reese, Kenny Agostino, Tyler Graovac, Adam Helewka

Goalie
#1 : Marcus Hogberg, #2 : Ivan Prosvetov

Custom OT Lines Forwards
Ivan Barbashev, Zach Aston-Reese, Kenny Agostino, Tyler Graovac, Adam Helewka, Kyle Rau, Kyle Rau, Mikhail Vorobyev, Filip Chlapik, , Nikita Jevpalovs

Custom OT Lines Defensemen
Yegor Rykov, Jake Walman, Frederic Allard, ,

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
47	47	L2	172	309	481	1899	1725	474	370	1167	3	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
47	17	23	5	1	1	0	172	172

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
24	11	10	3	0	0	0	100	91

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
23	6	13	2	1	1	0	72	81

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	7	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
147	31	21.09%	141	25	82.27%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
621	621	636	25	68	54	44	7

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1024	1900	53.89%	918	1725	53.22%	406	800	50.75%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1143	800	1090	342	603	303

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	W	X		BoxScore
4 - 2020-10-04	25	Griffins	3	Admirals	1	L			BoxScore
7 - 2020-10-07	41	Barracuda	1	Admirals	6	W			BoxScore
9 - 2020-10-09	52	Bears	4	Admirals	3	L			BoxScore
11 - 2020-10-11	63	Admirals	2	Reign	3	L			BoxScore
14 - 2020-10-14	90	Admirals	5	Wolves	3	W			BoxScore
16 - 2020-10-16	104	Admirals	3	Roadrunners	5	L			BoxScore
18 - 2020-10-18	121	Thunderbirds	2	Admirals	6	W			BoxScore
21 - 2020-10-21	138	Gulls	1	Admirals	4	W			BoxScore
23 - 2020-10-23	150	Wild	7	Admirals	4	L			BoxScore
25 - 2020-10-25	164	Admirals	0	Crunch	1	L			BoxScore
28 - 2020-10-28	185	IceHogs	2	Admirals	5	W			BoxScore
30 - 2020-10-30	194	Heat	5	Admirals	2	L			BoxScore
32 - 2020-11-01	205	Wolf Pack	4	Admirals	1	L			BoxScore
34 - 2020-11-03	222	Admirals	2	Griffins	3	L			BoxScore
37 - 2020-11-06	244	Admirals	3	Eagles	2	W			BoxScore
39 - 2020-11-08	262	Admirals	4	Barracuda	2	W			BoxScore
42 - 2020-11-11	277	Admirals	2	Comets	3	L			BoxScore
46 - 2020-11-15	310	IceHogs	3	Admirals	6	W			BoxScore
49 - 2020-11-18	325	Moose	5	Admirals	3	L			BoxScore
51 - 2020-11-20	339	Comets	6	Admirals	4	L			BoxScore
53 - 2020-11-22	358	Admirals	5	Rampage	2	W			BoxScore
55 - 2020-11-24	370	Rampage	5	Admirals	6	W			BoxScore
57 - 2020-11-26	385	Wolves	1	Admirals	5	W			BoxScore
59 - 2020-11-28	401	Admirals	4	Checkers	3	W	X		BoxScore
60 - 2020-11-29	409	Admirals	5	Thunderbirds	4	W			BoxScore
63 - 2020-12-02	430	Crunch	5	Admirals	6	W	X		BoxScore
67 - 2020-12-06	460	Devils	5	Admirals	6	W			BoxScore
70 - 2020-12-09	475	Barracuda	3	Admirals	6	W			BoxScore
72 - 2020-12-11	487	Admirals	4	Americans	3	W	X		BoxScore
74 - 2020-12-13	505	Stars	4	Admirals	5	W	X		BoxScore
76 - 2020-12-15	520	Admirals	2	Wolf Pack	4	L			BoxScore
77 - 2020-12-16	527	Admirals	3	Sound Tigers	5	L			BoxScore
79 - 2020-12-18	542	Admirals	2	Senators	5	L			BoxScore
81 - 2020-12-20	556	Admirals	6	Bruins	4	W			BoxScore
83 - 2020-12-22	576	Roadrunners	4	Admirals	5	W			BoxScore
87 - 2020-12-26	587	Penguins	6	Admirals	4	L			BoxScore
88 - 2020-12-27	597	Admirals	3	Penguins	4	L			BoxScore
92 - 2020-12-31	626	Admirals	4	Stars	6	L			BoxScore
95 - 2021-01-03	652	Admirals	2	Reign	3	L			BoxScore
96 - 2021-01-04	658	Admirals	1	Gulls	4	L			BoxScore
98 - 2021-01-06	671	Bruins	2	Admirals	4	W			BoxScore
100 - 2021-01-08	684	Admirals	4	IceHogs	3	W	X	X	BoxScore
103 - 2021-01-11	703	Admirals	3	Moose	5	L			BoxScore
105 - 2021-01-13	723	Admirals	3	Condors	4	L	X		BoxScore
107 - 2021-01-15	735	Gulls	5	Admirals	3	L			BoxScore
109 - 2021-01-17	752	Americans	7	Admirals	3	L			BoxScore
118 - 2021-01-26	770	Marlies	-	Admirals	-
120 - 2021-01-28	777	Admirals	-	Bears	-
121 - 2021-01-29	783	Admirals	-	Devils	-
123 - 2021-01-31	801	Wolves	-	Admirals	-
126 - 2021-02-03	822	Admirals	-	Moose	-
128 - 2021-02-05	836	Admirals	-	Heat	-
130 - 2021-02-07	845	Admirals	-	Condors	-
132 - 2021-02-09	864	Admirals	-	Comets	-
135 - 2021-02-12	886	Sound Tigers	-	Admirals	-
137 - 2021-02-14	896	Admirals	-	Rampage	-
138 - 2021-02-15	910	Rampage	-	Admirals	-
140 - 2021-02-17	925	Checkers	-	Admirals	-
143 - 2021-02-20	943	Admirals	-	IceHogs	-
144 - 2021-02-21	955	Monsters	-	Admirals	-
147 - 2021-02-24	977	Senators	-	Admirals	-
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2021-02-26	991	Heat	-	Admirals	-
151 - 2021-02-28	1008	Eagles	-	Admirals	-
153 - 2021-03-02	1018	Condors	-	Admirals	-
154 - 2021-03-03	1023	Admirals	-	Wild	-
156 - 2021-03-05	1039	Stars	-	Admirals	-
158 - 2021-03-07	1051	Admirals	-	Stars	-
161 - 2021-03-10	1071	Admirals	-	Rocket	-
163 - 2021-03-12	1083	Admirals	-	Marlies	-
165 - 2021-03-14	1105	Admirals	-	Monsters	-
166 - 2021-03-15	1116	Admirals	-	Wild	-
170 - 2021-03-19	1142	Eagles	-	Admirals	-
172 - 2021-03-21	1159	Phantoms	-	Admirals	-
173 - 2021-03-22	1167	Admirals	-	IceHogs	-
175 - 2021-03-24	1183	Moose	-	Admirals	-
177 - 2021-03-26	1197	Reign	-	Admirals	-
179 - 2021-03-28	1214	Admirals	-	Roadrunners	-
180 - 2021-03-29	1222	Admirals	-	Eagles	-
183 - 2021-04-01	1240	Rocket	-	Admirals	-
184 - 2021-04-02	1246	Admirals	-	Phantoms	-
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	40,902	23,623
Attendance PCT	85.21%	98.43%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
15	2689 - 89.62%	93,016$	2,232,393$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,701,660$	2,245,751$	2,245,751$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	1,327,659$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
1,581,278$	76	15,474$	1,176,024$

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	28	38	0	3	8	1	0	475	517	-42	39	16	20	0	2	1	0	0	248	256	-8	39	12	18	0	1	7	1	0	227	261	-34	72	475	868	1343	3	0	0	128	159	184	2733	0	954	814	952	2131	688	961	1605	323	126	39.01%	352	160	54.55%	19	745	1465	50.85%	582	1193	48.78%	935	1858	50.32%	1849	1183	1597	690	1257	603
2019	82	43	22	0	5	6	4	2	277	220	57	41	24	11	0	3	3	0	0	138	104	34	41	19	11	0	2	3	4	2	139	116	23	112	277	476	753	1	4	0	113	77	78	3351	0	1123	1098	1093	2647	753	644	2063	264	51	19.32%	262	42	83.97%	3	1776	3324	53.43%	1629	2953	55.16%	690	1309	52.71%	2028	1428	1894	597	1044	524
2020	47	17	23	0	5	1	1	0	172	172	0	24	11	10	0	3	0	0	0	100	91	9	23	6	13	0	2	1	1	0	72	81	-9	47	172	309	481	3	0	68	54	44	7	1899	621	621	636	25	1725	474	370	1167	147	31	21.09%	141	25	82.27%	0	1024	1900	53.89%	918	1725	53.22%	406	800	50.75%	1143	800	1090	342	603	303
Total Regular Season	207	88	83	0	13	15	6	2	924	909	15	104	51	41	0	8	4	0	0	486	451	35	103	37	42	0	5	11	6	2	438	458	-20	231	924	1653	2577	7	4	68	295	280	269	7983	621	2698	2548	2070	6503	1915	1975	4835	734	208	28.34%	755	227	69.93%	22	3545	6689	53.00%	3129	5871	53.30%	2031	3967	51.20%	5021	3413	4581	1630	2905	1431
Playoff
1	5	1	4	0	0	0	0	0	18	35	-17	2	0	2	0	0	0	0	0	5	19	-14	3	1	2	0	0	0	0	0	13	16	-3	2	18	35	53	0	0	0	8	6	3	166	0	65	45	53	135	44	87	88	26	7	26.92%	30	15	50.00%	2	40	109	36.70%	31	90	34.44%	36	100	36.00%	111	73	105	54	86	32
2019	24	16	8	0	0	0	0	0	99	91	8	13	9	4	0	0	0	0	0	52	50	2	11	7	4	0	0	0	0	0	47	41	6	32	99	173	272	1	2	0	35	30	32	1015	0	330	297	351	974	253	288	629	75	15	20.00%	112	25	77.68%	0	539	976	55.23%	527	999	52.75%	230	443	51.92%	609	433	576	175	309	152
Total Playoff	29	17	12	0	0	0	0	0	117	126	-9	15	9	6	0	0	0	0	0	57	69	-12	14	8	6	0	0	0	0	0	60	57	3	34	117	208	325	1	2	0	43	36	35	1181	0	395	342	404	1109	297	375	717	101	22	21.78%	142	40	71.83%	2	579	1085	53.36%	558	1089	51.24%	266	543	48.99%	720	507	681	229	396	184