LHSM - Requins

Cousin
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Web Lines Editor

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	Brendan Perlini	0		X			100.00	57	35	68	31	72	68	83	71	37	80	86	73	78	42	35	0	50	82	0
2	Christian Dvorak	0	X				100.00	58	34	73	23	48	76	83	71	85	82	81	72	68	42	36	0	50	82	0
3	Austin Watson	0		X			100.00	86	47	45	49	77	58	83	65	50	79	81	72	60	57	52	0	50	80	0
4	Ondrej Kase	0		X			100.00	46	25	70	28	37	61	76	76	39	84	85	70	77	41	34	0	50	79	0
5	Connor Brickley	0	X				100.00	84	42	59	43	66	54	83	68	36	82	80	65	63	44	37	0	50	78	0
6	David Kampf	0	X				100.00	47	23	67	47	55	59	85	67	87	82	79	62	64	46	38	0	50	77	0
7	Cedric Paquette	0	X				100.00	86	43	53	46	65	49	60	68	81	79	81	58	59	49	44	0	50	76	0
8	Nicholas Baptiste	0			X		100.00	49	40	60	39	65	44	85	68	35	78	83	66	63	45	42	0	50	76	0
9	Frederik Gauthier	0	X				100.00	69	40	60	61	88	41	76	60	84	71	78	42	63	44	39	0	50	71	0
10	Evgeny Svechnikov	0			X		100.00	71	37	52	57	72	40	78	60	34	72	77	58	73	41	37	0	50	70	0
11	Emerson Etem	0		X	X		100.00	61	39	70	70	73	39	83	56	31	67	70	53	72	52	44	0	50	67	0
12	Vince Dunn (R)	0				X	100.00	37	40	66	43	57	62	83	86	33	85	74	61	64	40	34	0	50	81	0
13	Joe Morrow	0				X	100.00	68	40	63	45	56	60	84	84	28	82	73	66	63	50	42	0	47	81	0
14	Scott Harrington	0				X	100.00	64	38	72	49	70	48	82	81	29	78	72	66	61	49	52	0	50	78	0
15	Brendan Guhle	0				X	100.00	43	33	64	49	54	65	72	76	30	75	69	71	64	38	35	0	50	77	0
16	Andy Welinski (R)	0				X	100.00	46	32	83	56	66	54	77	70	30	72	67	56	65	42	42	0	50	73	0
17	Tyler Wotherspoon	0				X	100.00	44	34	75	60	70	40	71	69	31	72	66	50	64	50	44	0	50	69	0
Scratches

	TEAM AVERAGE					100.00	60	37	65	47	64	54	79	70	46	78	77	62	66	45	40	0	50	76

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	Tristan Jarry	100.00	85	92	72	89	88	88	90	88	90	89	71	42	61	0	50	88	0
Scratches

	TEAM AVERAGE	100.00	85	92	72	89	88	88	90	88	90	89	71	42	61	0	50	88

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dominique Ducharme	70	70	70	70	70	70	70	CAN	45	4	450,000$

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	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Brendan Perlini	Requins (COU)	LW	82	102	93	195	117	61	5	112	184	471	133	272	21.66%	101	2006	24.46	16	21	37	70	219	14	7	21	39	411	10	6	42.63%	814	53	41	0	7	1.94	2	3	0	0	0	22	7	6
2	Nicholas Baptiste	Requins (COU)	RW	82	64	73	137	68	68	10	70	49	267	95	169	23.97%	26	1155	14.10	17	19	36	70	228	0	0	0	0	0	8	1	40.00%	80	42	13	0	4	2.37	0	1	0	1	0	6	8	6
3	Christian Dvorak	Requins (COU)	C	82	37	86	123	98	12	0	101	165	203	53	114	18.23%	80	1723	21.01	9	15	24	42	228	4	11	15	22	485	4	3	65.05%	1322	22	44	1	1	1.43	0	3	0	0	0	3	7	4
4	Austin Watson	Requins (COU)	LW	82	50	72	122	54	263	55	184	131	263	93	197	19.01%	55	1528	18.64	12	13	25	51	210	2	2	4	6	134	8	1	57.69%	130	94	32	0	5	1.60	2	3	3	2	4	3	5	4
5	Connor Brickley	Requins (COU)	C	82	48	57	105	50	66	0	159	104	278	87	156	17.27%	41	1377	16.80	8	10	18	47	217	0	0	0	0	0	4	4	47.74%	1240	46	29	0	5	1.52	0	0	0	0	0	3	4	3
6	David Kampf	Requins (COU)	C	63	45	59	104	30	20	0	93	115	262	88	191	17.18%	32	1395	22.14	8	12	20	50	182	0	0	0	1	33	1	2	67.59%	756	64	29	0	5	1.49	0	0	0	0	0	3	3	7
7	Ondrej Kase	Requins (COU)	LW	82	51	50	101	72	24	0	25	113	271	78	172	18.82%	52	1237	15.09	0	0	0	2	1	1	3	4	9	146	7	0	43.75%	48	43	42	0	2	1.63	1	1	0	0	0	3	5	6
8	Cedric Paquette	Requins (COU)	C	82	45	55	100	72	96	10	157	72	255	80	155	17.65%	37	1177	14.35	1	2	3	5	23	0	0	0	0	18	4	1	65.86%	823	71	18	1	3	1.70	0	0	1	0	1	3	4	3
9	Steven Santini	Cousin	D	68	13	72	85	107	76	0	168	118	175	85	101	7.43%	143	1785	26.25	3	16	19	40	212	2	8	10	11	316	2	0	0.00%	0	25	79	0	1	0.95	0	0	0	0	0	1	1	7
10	Joe Morrow	Requins (COU)	D	75	11	63	74	90	62	0	107	80	137	63	62	8.03%	115	1772	23.64	4	16	20	43	236	3	8	11	9	358	2	0	0.00%	0	11	56	0	1	0.83	0	0	0	0	0	1	1	3
11	Evgeny Svechnikov	Requins (COU)	RW	82	21	50	71	50	120	0	92	46	184	55	130	11.41%	20	1385	16.89	3	7	10	35	216	0	0	0	0	0	2	0	47.30%	74	77	11	0	2	1.03	0	0	0	0	0	0	1	1
12	Vince Dunn	Requins (COU)	D	82	10	60	70	59	46	0	14	69	152	61	59	6.58%	62	1569	19.14	1	14	15	29	165	1	3	4	8	240	0	0	0.00%	0	31	51	0	0	0.89	0	0	0	0	0	0	1	1
13	Mark Pysyk	Cousin	D	77	12	42	54	50	34	0	57	132	146	81	82	8.22%	168	1906	24.75	4	8	12	39	256	2	1	3	7	315	0	0	0.00%	0	18	52	0	0	0.57	0	0	0	0	0	1	0	0
14	Emerson Etem	Requins (COU)	LW/RW	82	5	43	48	70	18	0	64	35	106	27	67	4.72%	13	1042	12.72	0	0	0	0	1	0	0	0	0	1	0	0	46.15%	39	69	12	0	0	0.92	0	0	0	0	0	0	0	1
15	Brendan Guhle	Requins (COU)	D	63	6	34	40	44	32	0	69	158	124	63	66	4.84%	151	1851	29.39	1	6	7	32	217	0	1	1	2	151	0	0	0.00%	0	6	70	0	0	0.43	0	0	0	0	0	0	0	0
16	Frederik Gauthier	Requins (COU)	C	82	11	27	38	23	31	5	76	40	146	54	91	7.53%	21	723	8.82	0	0	0	0	1	2	1	3	9	155	1	0	72.05%	440	65	11	0	0	1.05	0	0	0	1	0	0	0	1
17	Scott Harrington	Requins (COU)	D	82	4	33	37	66	14	0	84	99	102	44	47	3.92%	109	1570	19.15	1	6	7	11	163	0	4	4	6	257	1	0	0.00%	0	4	52	0	0	0.47	0	0	0	0	0	0	0	3
18	Andy Welinski	Requins (COU)	D	82	2	13	15	62	6	0	15	66	49	32	35	4.08%	54	1056	12.89	0	0	0	0	0	0	0	0	0	1	0	0	0.00%	0	1	33	0	0	0.28	0	0	0	0	0	0	0	0
19	Tyler Wotherspoon	Requins (COU)	D	82	0	2	2	14	0	0	2	9	10	1	2	0.00%	7	250	3.06	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	2	0	0	0	0.16	0	0	0	0	0	0	0	0
Team Total or Average				1494	537	984	1521	1196	1049	85	1649	1785	3601	1273	2168	14.91%	1287	26514	17.75	88	165	253	566	2783	31	49	80	129	3030	54	18	58.10%	5766	744	675	2	36	1.15	5	11	4	4	5	49	47	56

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	Tristan Jarry	Requins (COU)	82	56	23	3	0.914	2.88	4926	6	3	236	2742	1440	6	0	0.889	9	82	0	8	9	3
Team Total or Average			82	56	23	3	0.914	2.88	4926	6	3	236	2742	1440	6	0	0.889	9	82	0	8	9	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	Team 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
Andy Welinski	Requins (COU)	D	25	1993-04-27	Yes	206 Lbs	185 CM	No	No	No	2	RFA	Pro & Farm	690,000$	0$	0$	No	Link
Austin Watson	Requins (COU)	LW	26	1992-01-13	No	204 Lbs	193 CM	No	No	No	3	RFA	Pro & Farm	1,100,000$	0$	0$	No	Link / NHL Link
Brendan Guhle	Requins (COU)	D	21	1997-07-29	No	196 Lbs	188 CM	No	No	No	1	ELC	Pro & Farm	894,167$	0$	0$	No	Link
Brendan Perlini	Requins (COU)	LW	22	1996-04-27	No	211 Lbs	191 CM	No	No	No	1	ELC	Pro & Farm	1,363,333$	0$	0$	No	Link / NHL Link
Cedric Paquette	Requins (COU)	C	25	1993-08-13	No	198 Lbs	185 CM	No	No	No	2	RFA	Pro & Farm	812,500$	0$	0$	No	Link / NHL Link
Christian Dvorak	Requins (COU)	C	22	1996-02-02	No	195 Lbs	183 CM	No	No	No	1	ELC	Pro & Farm	1,106,667$	0$	0$	No	Link / NHL Link
Connor Brickley	Requins (COU)	C	26	1992-02-25	No	203 Lbs	183 CM	No	No	No	2	RFA	Pro & Farm	750,000$	0$	0$	No	Link
David Kampf	Requins (COU)	C	23	1995-01-12	No	195 Lbs	188 CM	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link
Emerson Etem	Requins (COU)	LW/RW	26	1992-06-16	No	212 Lbs	185 CM	No	No	No	1	RFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Evgeny Svechnikov	Requins (COU)	RW	21	1996-10-31	No	212 Lbs	191 CM	No	No	No	1	ELC	Pro & Farm	1,106,667$	0$	0$	No	Link
Frederik Gauthier	Requins (COU)	C	23	1995-04-26	No	232 Lbs	196 CM	No	No	No	2	RFA	Pro & Farm	863,333$	0$	0$	No	Link
Joe Morrow	Requins (COU)	D	25	1992-12-09	No	196 Lbs	183 CM	No	No	No	1	RFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Nicholas Baptiste	Requins (COU)	RW	23	1995-08-04	No	205 Lbs	185 CM	No	No	No	1	RFA	Pro & Farm	878,333$	0$	0$	No	Link
Ondrej Kase	Requins (COU)	LW	22	1995-11-08	No	185 Lbs	183 CM	No	No	No	1	ELC	Pro & Farm	706,667$	0$	0$	No	Link / NHL Link
Scott Harrington	Requins (COU)	D	25	1993-03-10	No	207 Lbs	188 CM	No	No	No	1	RFA	Pro & Farm	632,000$	0$	0$	No	Link / NHL Link
Tristan Jarry	Requins (COU)	G	23	1995-04-29	No	194 Lbs	188 CM	No	No	No	1	RFA	Pro & Farm	905,000$	0$	0$	No	Link / NHL Link
Tyler Wotherspoon	Requins (COU)	D	25	1993-03-12	No	207 Lbs	188 CM	No	No	No	2	RFA	Pro & Farm	650,000$	0$	0$	No	Link
Vince Dunn	Requins (COU)	D	21	1996-10-29	Yes	203 Lbs	183 CM	No	No	No	2	ELC	Pro & Farm	894,167$	0$	0$	No	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
18	23.56	203 Lbs	188 CM	1.50	880,713$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brendan Perlini	Christian Dvorak	Nicholas Baptiste	40	1	2	2
2	Austin Watson	Connor Brickley	Evgeny Svechnikov	30	1	2	2
3	Ondrej Kase	Cedric Paquette	Emerson Etem	20	1	2	2
4		Frederik Gauthier	Brendan Perlini	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2	Vince Dunn	Scott Harrington	30	1	2	2
3	Andy Welinski		20	1	2	2
4	Tyler Wotherspoon		10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brendan Perlini	Christian Dvorak	Nicholas Baptiste	60	1	2	2
2	Austin Watson	Connor Brickley	Evgeny Svechnikov	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Vince Dunn	Scott Harrington	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Brendan Perlini	Christian Dvorak	60	1	2	2
2	Austin Watson	Ondrej Kase	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Vince Dunn	Scott Harrington	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Brendan Perlini	60	1	2	2			60	1	2	2
2	Christian Dvorak	40	1	2	2	Vince Dunn	Scott Harrington	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Brendan Perlini	Christian Dvorak	60	1	2	2
2	Austin Watson	Ondrej Kase	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Vince Dunn	Scott Harrington	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Brendan Perlini	Christian Dvorak	Nicholas Baptiste

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Brendan Perlini	Christian Dvorak	Nicholas Baptiste

Extra Forwards
Normal	PowerPlay	Penalty Kill
Cedric Paquette, , Frederik Gauthier	Cedric Paquette,	Frederik Gauthier

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Andy Welinski, , Tyler Wotherspoon	Andy Welinski	, Tyler Wotherspoon

Penalty Shots
Brendan Perlini, Christian Dvorak, Austin Watson, Ondrej Kase, Connor Brickley

Goalie
#1 : Tristan Jarry, #2 :

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	Barbarians	4	2	2	0	0	0	0	0	11	15	-4	2	2	0	0	0	0	0	0	6	2	4	2	0	2	0	0	0	0	0	5	13	-8	4	0.500	11	19	30	0	1	182	161	135	8	134	1118	1036	926	27	125	36	44	65	10	1	10.00%	22	4	81.82%	0	1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%	1931	1257	1766	654	1247	635
2	Barracuda	5	4	1	0	0	0	0	0	30	9	21	3	3	0	0	0	0	0	0	24	4	20	2	1	1	0	0	0	0	0	6	5	1	8	0.800	30	54	84	0	0	182	161	135	8	192	1118	1036	926	27	135	54	46	92	12	6	50.00%	23	2	91.30%	1	1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%	1931	1257	1766	654	1247	635
3	Benchwarmers	5	3	1	0	0	0	1	0	19	11	8	3	2	1	0	0	0	0	0	10	7	3	2	1	0	0	0	0	1	0	9	4	5	8	0.800	19	34	53	0	0	182	161	135	8	174	1118	1036	926	27	179	69	78	92	17	5	29.41%	29	4	86.21%	1	1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%	1931	1257	1766	654	1247	635
4	Caribou	4	3	1	0	0	0	0	0	23	15	8	2	1	1	0	0	0	0	0	14	9	5	2	2	0	0	0	0	0	0	9	6	3	6	0.750	23	41	64	0	0	182	161	135	8	174	1118	1036	926	27	133	43	38	67	16	6	37.50%	19	5	73.68%	2	1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%	1931	1257	1766	654	1247	635
5	Casse-Tete	4	2	2	0	0	0	0	0	11	14	-3	2	2	0	0	0	0	0	0	7	5	2	2	0	2	0	0	0	0	0	4	9	-5	4	0.500	11	22	33	0	0	182	161	135	8	154	1118	1036	926	27	129	51	81	74	23	7	30.43%	25	4	84.00%	0	1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%	1931	1257	1766	654	1247	635
6	Chevalier	4	2	1	0	0	0	1	0	13	7	6	2	2	0	0	0	0	0	0	8	2	6	2	0	1	0	0	0	1	0	5	5	0	6	0.750	13	21	34	0	0	182	161	135	8	141	1118	1036	926	27	126	35	36	73	11	4	36.36%	18	3	83.33%	1	1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%	1931	1257	1766	654	1247	635
7	Diabotins	5	4	0	0	0	1	0	0	24	12	12	3	2	0	0	0	1	0	0	12	7	5	2	2	0	0	0	0	0	0	12	5	7	9	0.900	24	42	66	0	0	182	161	135	8	215	1118	1036	926	27	137	51	48	91	15	3	20.00%	24	7	70.83%	1	1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%	1931	1257	1766	654	1247	635
8	Evil Saints	4	0	2	0	2	0	0	0	14	15	-1	2	0	1	0	1	0	0	0	7	7	0	2	0	1	0	1	0	0	0	7	8	-1	4	0.500	14	25	39	0	0	182	161	135	8	159	1118	1036	926	27	161	49	50	73	7	1	14.29%	25	3	88.00%	0	1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%	1931	1257	1766	654	1247	635
9	Giants	4	1	2	0	0	0	1	0	11	15	-4	2	0	1	0	0	0	1	0	5	8	-3	2	1	1	0	0	0	0	0	6	7	-1	4	0.500	11	17	28	0	0	182	161	135	8	151	1118	1036	926	27	156	49	44	69	16	3	18.75%	17	3	82.35%	0	1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%	1931	1257	1766	654	1247	635
10	Hooligans	5	4	1	0	0	0	0	0	24	17	7	2	2	0	0	0	0	0	0	11	6	5	3	2	1	0	0	0	0	0	13	11	2	8	0.800	24	44	68	0	0	182	161	135	8	184	1118	1036	926	27	182	70	91	85	14	2	14.29%	38	7	81.58%	5	1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%	1931	1257	1766	654	1247	635
11	Hybrides	4	3	1	0	0	0	0	0	14	9	5	2	2	0	0	0	0	0	0	8	4	4	2	1	1	0	0	0	0	0	6	5	1	6	0.750	14	25	39	0	1	182	161	135	8	139	1118	1036	926	27	121	55	32	66	15	5	33.33%	16	1	93.75%	0	1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%	1931	1257	1766	654	1247	635
12	Jardiniers	5	2	2	0	0	1	0	0	19	20	-1	2	1	0	0	0	1	0	0	7	6	1	3	1	2	0	0	0	0	0	12	14	-2	5	0.500	19	33	52	0	0	182	161	135	8	182	1118	1036	926	27	169	54	43	103	36	7	19.44%	19	4	78.95%	0	1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%	1931	1257	1766	654	1247	635
13	Leftovers	4	4	0	0	0	0	0	0	26	15	11	2	2	0	0	0	0	0	0	13	9	4	2	2	0	0	0	0	0	0	13	6	7	8	1.000	26	46	72	0	0	182	161	135	8	151	1118	1036	926	27	152	48	41	54	33	11	33.33%	13	2	84.62%	0	1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%	1931	1257	1766	654	1247	635
14	Pirates	5	2	2	0	1	0	0	0	19	17	2	2	2	0	0	0	0	0	0	10	5	5	3	0	2	0	1	0	0	0	9	12	-3	6	0.600	19	31	50	0	0	182	161	135	8	167	1118	1036	926	27	176	58	74	96	7	2	28.57%	37	7	81.08%	2	1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%	1931	1257	1766	654	1247	635
15	Remparts	4	4	0	0	0	0	0	0	158	4	154	2	2	0	0	0	0	0	0	78	2	76	2	2	0	0	0	0	0	0	80	2	78	8	1.000	158	282	440	0	0	182	161	135	8	177	1118	1036	926	27	73	26	57	77	1	0	0.00%	22	3	86.36%	10	1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%	1931	1257	1766	654	1247	635
16	Royaux	4	1	2	0	0	1	0	0	15	16	-1	2	1	0	0	0	1	0	0	11	7	4	2	0	2	0	0	0	0	0	4	9	-5	3	0.375	15	24	39	0	0	182	161	135	8	138	1118	1036	926	27	141	46	56	68	13	2	15.38%	20	5	75.00%	0	1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%	1931	1257	1766	654	1247	635
17	St Johns	4	4	0	0	0	0	0	0	25	7	18	2	2	0	0	0	0	0	0	14	3	11	2	2	0	0	0	0	0	0	11	4	7	8	1.000	25	43	68	0	0	182	161	135	8	169	1118	1036	926	27	178	67	48	50	7	2	28.57%	24	5	79.17%	5	1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%	1931	1257	1766	654	1247	635
	Total	82	50	23	0	3	3	3	0	484	240	244	41	32	4	0	1	3	1	0	265	101	164	41	18	19	0	2	0	2	0	219	139	80	115	0.701	484	854	1338	0	3	182	161	135	8	3097	1118	1036	926	27	2746	956	981	1448	299	75	25.08%	417	75	82.01%	29	1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%	1931	1257	1766	654	1247	635
19	Werewolves	4	3	1	0	0	0	0	0	9	6	3	2	2	0	0	0	0	0	0	6	2	4	2	1	1	0	0	0	0	0	3	4	-1	6	0.750	9	14	23	0	1	182	161	135	8	135	1118	1036	926	27	141	50	37	63	31	5	16.13%	10	2	80.00%	0	1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%	1931	1257	1766	654	1247	635
20	Zombie	4	2	2	0	0	0	0	0	19	16	3	2	2	0	0	0	0	0	0	14	6	8	2	0	2	0	0	0	0	0	5	10	-5	4	0.500	19	37	56	0	0	182	161	135	8	161	1118	1036	926	27	132	45	37	90	15	3	20.00%	16	4	75.00%	1	1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%	1931	1257	1766	654	1247	635
	_Since Last GM Reset	82	50	23	0	3	3	3	0	484	240	244	41	32	4	0	1	3	1	0	265	101	164	41	18	19	0	2	0	2	0	219	139	80	115	0.701	484	854	1338	0	3	182	161	135	8	3097	1118	1036	926	27	2746	956	981	1448	299	75	25.08%	417	75	82.01%	29	1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%	1931	1257	1766	654	1247	635
	_Vs Conference	41	28	8	0	1	2	2	0	325	118	207	20	15	2	0	0	2	1	0	160	53	107	21	13	6	0	1	0	1	0	165	65	100	64	0.780	325	572	897	0	0	182	161	135	8	1570	1118	1036	926	27	1402	492	524	717	146	35	23.97%	223	42	81.17%	24	1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%	1931	1257	1766	654	1247	635
	_Vs Division	18	11	5	0	1	2	1	0	62	58	4	8	7	1	0	0	2	0	0	32	18	14	10	4	4	0	1	0	1	0	30	40	-10	28	0.778	62	107	169	0	0	182	161	135	8	644	1118	1036	926	27	600	198	234	346	77	20	25.97%	99	18	81.82%	3	1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%	1931	1257	1766	654	1247	635

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	115	W1	484	854	1338	3097	2746	956	981	1448	0	3

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	50	23	3	3	3	0	484	240

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	32	4	1	3	1	0	265	101

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	18	19	2	0	2	0	219	139

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	4	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
299	75	25.08%	417	75	82.01%	29

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
1118	1036	926	27	182	161	135	8

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1931	1257	1766	654	1247	635

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 - 2018-10-01	2	Benchwarmers	1	Requins	6	W			BoxScore
3 - 2018-10-03	15	Requins	3	Hooligans	6	L			BoxScore
5 - 2018-10-05	24	Requins	2	Chevalier	1	W	X	X	BoxScore
7 - 2018-10-07	32	Requins	4	Jardiniers	5	L			BoxScore
8 - 2018-10-08	37	Barracuda	1	Requins	9	W			BoxScore
10 - 2018-10-10	43	Requins	1	Pirates	4	L			BoxScore
12 - 2018-10-12	58	Diabotins	1	Requins	3	W			BoxScore
15 - 2018-10-15	72	Remparts	1	Requins	39	W			BoxScore
17 - 2018-10-17	82	Requins	4	Barbarians	9	L			BoxScore
18 - 2018-10-18	88	Requins	4	Giants	2	W			BoxScore
20 - 2018-10-20	99	Giants	3	Requins	4	W	X	X	BoxScore
23 - 2018-10-23	112	Pirates	4	Requins	5	W			BoxScore
25 - 2018-10-25	125	Requins	3	Jardiniers	6	L			BoxScore
26 - 2018-10-26	133	Requins	2	Werewolves	1	W			BoxScore
28 - 2018-10-28	140	Caribou	5	Requins	11	W			BoxScore
30 - 2018-10-30	151	Requins	38	Remparts	1	W			BoxScore
31 - 2018-10-31	160	Barbarians	2	Requins	3	W			BoxScore
33 - 2018-11-02	171	Requins	7	Leftovers	1	W			BoxScore
35 - 2018-11-04	180	Pirates	1	Requins	5	W			BoxScore
38 - 2018-11-07	191	Requins	3	Hybrides	0	W			BoxScore
39 - 2018-11-08	198	Evil Saints	2	Requins	3	W	X		BoxScore
42 - 2018-11-11	213	Chevalier	1	Requins	6	W			BoxScore
44 - 2018-11-13	221	Requins	1	Barbarians	4	L			BoxScore
46 - 2018-11-15	231	Requins	3	Hybrides	5	L			BoxScore
47 - 2018-11-16	237	Evil Saints	5	Requins	4	L			BoxScore
50 - 2018-11-19	248	Requins	3	Benchwarmers	2	W	X	X	BoxScore
51 - 2018-11-20	257	Barbarians	0	Requins	3	W			BoxScore
53 - 2018-11-22	268	Requins	42	Remparts	1	W			BoxScore
54 - 2018-11-23	278	Giants	5	Requins	1	L			BoxScore
58 - 2018-11-27	291	Hooligans	4	Requins	6	W			BoxScore
59 - 2018-11-28	302	Requins	6	Leftovers	5	W			BoxScore
61 - 2018-11-30	307	Requins	5	Jardiniers	3	W			BoxScore
63 - 2018-12-02	317	Royaux	2	Requins	7	W			BoxScore
64 - 2018-12-03	324	Requins	5	Caribou	3	W			BoxScore
67 - 2018-12-06	336	Royaux	5	Requins	4	L	X		BoxScore
68 - 2018-12-07	348	Requins	6	Benchwarmers	2	W			BoxScore
71 - 2018-12-10	358	Jardiniers	2	Requins	4	W			BoxScore
73 - 2018-12-12	369	Requins	2	Giants	5	L			BoxScore
74 - 2018-12-13	378	Chevalier	1	Requins	2	W			BoxScore
78 - 2018-12-17	392	Barracuda	1	Requins	4	W			BoxScore
80 - 2018-12-19	400	Requins	2	Barracuda	3	L			BoxScore
82 - 2018-12-21	410	Requins	4	Caribou	3	W			BoxScore
83 - 2018-12-22	418	Remparts	1	Requins	39	W			BoxScore
85 - 2018-12-24	430	Requins	3	Royaux	6	L			BoxScore
87 - 2018-12-26	436	Zombie	3	Requins	10	W			BoxScore
89 - 2018-12-28	449	Requins	1	Royaux	3	L			BoxScore
90 - 2018-12-29	456	Requins	5	Hooligans	3	W			BoxScore
91 - 2018-12-30	460	Casse-Tete	3	Requins	4	W			BoxScore
94 - 2019-01-02	477	Casse-Tete	2	Requins	3	W			BoxScore
95 - 2019-01-03	489	Requins	1	Werewolves	3	L			BoxScore
97 - 2019-01-05	494	Caribou	4	Requins	3	L			BoxScore
100 - 2019-01-08	509	St Johns	1	Requins	8	W			BoxScore
102 - 2019-01-10	521	Requins	4	Barracuda	2	W			BoxScore
103 - 2019-01-11	531	Benchwarmers	4	Requins	0	L			BoxScore
105 - 2019-01-13	541	Requins	2	Evil Saints	4	L			BoxScore
106 - 2019-01-14	548	Requins	2	Casse-Tete	4	L			BoxScore
108 - 2019-01-16	557	St Johns	2	Requins	6	W			BoxScore
110 - 2019-01-18	570	Requins	5	Pirates	4	W	X		BoxScore
112 - 2019-01-20	576	Zombie	3	Requins	4	W			BoxScore
115 - 2019-01-23	591	Requins	2	Casse-Tete	5	L			BoxScore
116 - 2019-01-24	597	Diabotins	2	Requins	6	W			BoxScore
119 - 2019-01-27	612	Benchwarmers	2	Requins	4	W			BoxScore
120 - 2019-01-28	618	Requins	5	St Johns	2	W			BoxScore
122 - 2019-01-30	628	Requins	8	Diabotins	3	W			BoxScore
123 - 2019-01-31	637	Diabotins	4	Requins	3	L	X		BoxScore
125 - 2019-02-02	648	Requins	4	Diabotins	2	W			BoxScore
127 - 2019-02-04	656	Jardiniers	4	Requins	3	L	X		BoxScore
129 - 2019-02-06	668	Requins	5	Hooligans	2	W			BoxScore
131 - 2019-02-08	675	Hooligans	2	Requins	5	W			BoxScore
134 - 2019-02-11	692	Barracuda	2	Requins	11	W			BoxScore
135 - 2019-02-12	700	Requins	6	St Johns	2	W			BoxScore
138 - 2019-02-15	711	Hybrides	3	Requins	5	W			BoxScore
142 - 2019-02-19	727	Requins	5	Evil Saints	4	W	X		BoxScore
144 - 2019-02-21	734	Werewolves	0	Requins	3	W			BoxScore
146 - 2019-02-23	748	Hybrides	1	Requins	3	W			BoxScore
148 - 2019-02-25	759	Requins	3	Chevalier	4	L			BoxScore
151 - 2019-02-28	766	Werewolves	2	Requins	3	W			BoxScore
153 - 2019-03-02	779	Requins	2	Zombie	5	L			BoxScore
154 - 2019-03-03	788	Requins	3	Pirates	4	L			BoxScore
156 - 2019-03-05	795	Leftovers	3	Requins	6	W			BoxScore
159 - 2019-03-08	808	Requins	3	Zombie	5	L			BoxScore
161 - 2019-03-10	818	Leftovers	6	Requins	7	W			BoxScore

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
0	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,567,515$	1,585,284$	1,413,217$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
9,786$	1,567,515$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	9,786$	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
2018	82	50	23	0	3	3	3	0	484	240	244	41	32	4	0	1	3	1	0	265	101	164	41	18	19	0	2	0	2	0	219	139	80	115	484	854	1338	0	3	182	161	135	8	3097	1118	1036	926	27	2746	956	981	1448	299	75	25.08%	417	75	82.01%	29	1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%	1931	1257	1766	654	1247	635
Total Regular Season	82	50	23	0	3	3	3	0	484	240	244	41	32	4	0	1	3	1	0	265	101	164	41	18	19	0	2	0	2	0	219	139	80	115	484	854	1338	0	3	182	161	135	8	3097	1118	1036	926	27	2746	956	981	1448	299	75	25.08%	417	75	82.01%	29	1042	1847	56.42%	1014	1892	53.59%	794	1294	61.36%	1931	1257	1766	654	1247	635