LHSM - Pirates

Outlaws
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	Sean Kuraly	0	X				100.00	80	30	58	43	79	63	73	70	79	78	80	60	64	47	53	0	50	71	0
2	Riley Nash	0	X				100.00	69	23	66	45	63	57	69	67	74	79	81	65	81	65	48	0	50	69	0
3	Casey Mittelstadt	0	X	X	X		100.00	42	24	73	33	62	62	77	71	69	79	82	54	75	29	39	0	50	69	0
4	Chris Wagner	0	X				100.00	86	32	58	45	66	61	77	67	62	75	80	70	61	54	58	0	50	69	0
5	Stefan Noesen	0			X		100.00	81	30	51	40	71	60	67	69	46	77	80	62	71	48	51	0	50	68	0
6	Joel L'Esperance	0		X			100.00	52	29	70	56	74	56	81	59	36	67	75	58	67	36	46	0	50	63	0
7	Alexandre Fortin	0		X			100.00	54	18	78	54	48	49	81	61	44	70	78	56	67	37	35	0	50	62	0
8	Dominic Toninato	0	X				100.00	47	18	65	61	67	34	80	59	43	67	76	53	67	38	41	0	50	60	0
9	Chase Balisy	0	X				100.00	31	23	91	69	48	45	82	56	31	64	70	67	68	52	54	0	50	59	0
10	Zac Dalpe	0	X		X		100.00	35	30	67	65	68	34	77	57	31	65	72	61	72	55	51	0	50	59	0
11	Rasmus Andersson	0				X	100.00	53	25	72	44	72	59	87	82	30	83	76	50	66	48	47	0	50	71	0
12	Alexander Petrovic	0				X	100.00	88	44	46	50	86	57	67	76	27	75	71	49	62	57	66	0	50	68	0
13	Igor Ozhiganov	0				X	100.00	68	13	66	48	75	51	78	79	30	78	74	36	66	51	35	0	50	67	0
14	Gustav Olofsson	0				X	100.00	46	22	68	58	63	47	78	71	30	75	74	45	66	34	37	0	50	64	0
15	Tucker Poolman	0				X	100.00	46	30	83	59	68	43	81	70	30	72	70	47	67	37	51	0	50	63	0
16	Duncan Siemens	0				X	100.00	51	44	68	62	81	40	81	68	30	72	70	64	67	52	66	0	50	63	0
17	Mark Alt	0				X	100.00	43	29	81	60	75	41	81	68	30	72	69	51	67	43	53	0	50	62	0
Scratches

	TEAM AVERAGE					100.00	57	27	68	52	69	51	77	68	42	73	75	56	68	46	49	0	50	65

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	Juuse Saros	100.00	95	94	86	83	94	93	94	96	91	86	78	48	67	0	50	85	0
2	Michael Dipietro (R)	100.00	80	92	76	75	80	80	79	82	89	50	60	48	65	0	50	75	0
Scratches

	TEAM AVERAGE	100.00	88	93	81	79	87	87	87	89	90	68	69	48	66	0	50	80

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Barry Trotz	91	99	83	76	97	92	50	CAN	57	2	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	FL	FT	S1	S2	S3
1	Rasmus Andersson	Pirates (Out)	D	83	42	89	131	26	14	0	130	197	476	216	229	8.82%	210	2171	26.16	24	37	61	198	381	1	0	1	10	253	8	3	0.00%	0	129	83	0	3	1.21	0	0	0	0	10	13	6
2	Casey Mittelstadt	Pirates (Out)	C/LW/RW	83	84	39	123	16	24	0	129	174	609	183	370	13.79%	114	1704	20.54	32	19	51	171	340	0	0	0	0	0	20	5	48.05%	77	86	59	1	8	1.44	1	2	0	0	18	8	6
3	Sean Kuraly	Pirates (Out)	C	84	44	50	94	16	52	0	154	162	393	141	261	11.20%	102	1648	19.62	16	18	34	81	217	1	2	3	11	244	9	5	62.47%	1327	95	46	0	3	1.14	6	17	0	0	8	9	4
4	Stefan Noesen	Pirates (Out)	RW	83	29	51	80	28	52	0	142	102	339	112	227	8.55%	71	1298	15.65	9	18	27	78	214	0	0	0	0	0	2	1	46.25%	80	80	30	0	0	1.23	0	1	0	0	2	7	13
5	Igor Ozhiganov	Pirates (Out)	D	83	10	30	40	4	30	0	97	42	138	78	91	7.25%	44	1478	17.81	2	14	16	50	196	0	0	0	1	106	2	0	0.00%	0	69	12	0	1	0.54	0	0	0	0	1	0	4
6	Gustav Olofsson	Pirates (Out)	D	84	4	22	26	-4	12	0	51	52	110	56	55	3.64%	38	907	10.81	1	0	1	4	5	0	0	0	0	0	0	1	0.00%	0	37	20	0	0	0.57	0	0	0	0	1	0	2
7	Chris Wagner	Pirates (Out)	C	83	17	8	25	0	44	0	118	103	192	69	133	8.85%	69	910	10.96	0	0	0	0	0	0	0	0	2	31	2	5	56.56%	914	56	32	0	0	0.55	3	8	0	0	2	0	3
8	Riley Nash	Pirates (Out)	C	83	12	11	23	2	14	0	88	92	145	57	75	8.28%	26	618	7.45	0	0	0	0	0	0	0	0	0	0	0	0	61.14%	404	33	16	0	0	0.74	1	1	0	0	1	1	2
9	Alexander Petrovic	Pirates (Out)	D	83	2	20	22	0	100	10	207	82	142	71	57	1.41%	95	1499	18.06	2	9	11	57	194	0	1	1	1	84	0	0	0.00%	0	36	40	0	0	0.29	0	1	1	1	0	1	0
10	Alexandre Fortin	Pirates (Out)	LW	83	10	12	22	2	8	0	38	50	144	52	88	6.94%	22	618	7.46	0	0	0	0	0	0	0	0	0	0	1	4	50.00%	20	54	10	0	0	0.71	0	0	0	0	0	1	1
11	Tucker Poolman	Pirates (Out)	D	84	2	12	14	-3	0	0	37	54	63	23	30	3.17%	68	951	11.33	0	0	0	4	4	0	0	0	2	42	1	0	0.00%	0	15	15	0	0	0.29	0	0	0	0	0	0	0
12	Zac Dalpe	Pirates (Out)	C/RW	83	2	11	13	1	16	0	14	56	124	44	76	1.61%	26	859	10.35	0	0	0	0	0	0	0	0	0	0	0	0	30.23%	43	58	17	0	0	0.30	1	1	0	0	0	1	0
13	Joel L'Esperance	Pirates (Out)	LW	83	1	11	12	2	10	0	27	49	92	31	93	1.09%	18	858	10.35	0	0	0	0	0	0	0	0	0	0	0	1	48.89%	45	65	15	0	0	0.28	0	0	0	0	0	0	0
14	Jordan Martinook	Outlaws	LW	9	3	9	12	3	4	0	26	20	28	2	28	10.71%	11	167	18.57	0	3	3	4	31	0	0	0	1	17	1	0	55.00%	20	6	2	0	0	1.44	0	0	0	0	1	1	1
15	Mark Alt	Pirates (Out)	D	83	1	9	10	-1	4	0	15	19	25	10	17	4.00%	22	505	6.09	0	0	0	0	0	0	0	0	0	0	1	0	0.00%	0	15	6	0	0	0.40	0	0	0	0	0	0	0
16	Duncan Siemens	Pirates (Out)	D	83	0	10	10	-1	2	0	44	57	43	28	19	0.00%	29	510	6.15	0	0	0	0	0	0	0	0	1	2	0	0	0.00%	0	16	11	0	0	0.39	0	0	0	0	0	0	0
17	Anthony Cirelli	Outlaws	C	7	6	3	9	1	6	0	15	28	30	9	18	20.00%	11	162	23.16	2	1	3	5	23	1	0	1	4	29	1	0	63.45%	145	1	7	1	0	1.11	0	0	0	0	1	0	2
18	Michael Raffl	Outlaws	LW	9	1	5	6	3	10	0	11	10	27	9	22	3.70%	2	136	15.21	0	2	2	10	25	0	0	0	0	0	0	0	80.00%	5	6	4	0	0	0.88	0	0	0	0	0	0	1
19	Dominic Toninato	Pirates (Out)	C	84	2	2	4	-3	0	0	14	13	31	11	28	6.45%	5	108	1.29	2	1	3	11	24	0	0	0	0	6	0	0	55.00%	20	18	2	0	0	0.74	0	0	0	0	0	0	0
20	Trevor van Riemsdyk	Outlaws	D	9	0	4	4	1	2	0	6	4	15	7	5	0.00%	7	217	24.14	0	2	2	4	32	0	0	0	1	43	0	0	0.00%	0	1	1	0	0	0.37	0	0	0	0	0	0	0
21	Chase Balisy	Pirates (Out)	C	83	0	0	0	-1	0	0	1	3	9	3	3	0.00%	1	17	0.21	0	0	0	1	0	0	0	0	0	0	0	0	0.00%	1	2	3	0	0	0.00	0	0	0	0	0	0	0
Team Total or Average				1449	272	408	680	92	404	10	1364	1369	3175	1212	1925	8.57%	991	17351	11.97	90	124	214	678	1694	3	3	6	34	862	48	25	59.01%	3101	878	431	2	15	0.78	12	31	1	1	45	42	45

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	Juuse Saros	Pirates (Out)	83	55	15	13	0.939	2.11	5069	4	3	178	2910	1505	27	2	0.700	60	83	0	13	11	10
Team Total or Average			83	55	15	13	0.939	2.11	5069	4	3	178	2910	1505	27	2	0.700	60	83	0	13	11	10

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 Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Alexander Petrovic	Pirates (Out)	D	27	1992-03-03	No	216 Lbs	193 CM	No	No	No	2	Pro & Farm	1,950,000$	0$	0$	No	1,950,000$		Link
Alexandre Fortin	Pirates (Out)	LW	22	1997-02-25	No	184 Lbs	183 CM	No	No	No	2	Pro & Farm	706,666$	0$	0$	No	706,666$		Link
Casey Mittelstadt	Pirates (Out)	C/LW/RW	20	1998-11-22	No	202 Lbs	185 CM	No	No	No	1	Pro & Farm	1,491,166$	0$	0$	No			Link
Chase Balisy	Pirates (Out)	C	27	1992-02-02	No	179 Lbs	180 CM	No	No	No	1	Pro & Farm	650,000$	0$	0$	No			Link
Chris Wagner	Pirates (Out)	C	28	1991-05-27	No	198 Lbs	183 CM	No	No	No	2	Pro & Farm	1,250,000$	0$	0$	No	1,250,000$		Link / NHL Link
Dominic Toninato	Pirates (Out)	C	25	1994-03-09	No	200 Lbs	188 CM	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Link
Duncan Siemens	Pirates (Out)	D	26	1993-09-07	No	210 Lbs	191 CM	No	No	No	2	Pro & Farm	825,000$	0$	0$	No	825,000$		Link
Gustav Olofsson	Pirates (Out)	D	24	1994-12-01	No	194 Lbs	191 CM	No	No	No	1	Pro & Farm	725,000$	0$	0$	No			Link / NHL Link
Igor Ozhiganov	Pirates (Out)	D	26	1992-10-13	No	210 Lbs	188 CM	No	No	No	2	Pro & Farm	1,775,000$	0$	0$	No	1,775,000$		Link
Joel L'Esperance	Pirates (Out)	LW	24	1995-08-18	No	210 Lbs	188 CM	No	No	No	2	Pro & Farm	722,500$	0$	0$	No	722,500$		Link
Juuse Saros	Pirates (Out)	G	24	1995-04-19	No	180 Lbs	180 CM	No	No	No	1	Pro & Farm	692,500$	0$	0$	No			Link / NHL Link
Mark Alt	Pirates (Out)	D	27	1991-10-18	No	201 Lbs	193 CM	No	No	No	1	Pro & Farm	650,000$	0$	0$	No			Link
Michael Dipietro	Pirates (Out)	G	20	1999-06-09	Yes	200 Lbs	183 CM	No	No	No	2	Pro & Farm	910,833$	0$	0$	No	910,833$		Link
Rasmus Andersson	Pirates (Out)	D	22	1996-10-27	No	214 Lbs	185 CM	No	No	No	2	Pro & Farm	994,433$	0$	0$	No	994,433$		Link / NHL Link
Riley Nash	Pirates (Out)	C	30	1989-05-09	No	190 Lbs	185 CM	No	No	No	1	Pro & Farm	1,380,000$	0$	0$	No			Link / NHL Link
Sean Kuraly	Pirates (Out)	C	26	1993-01-20	No	213 Lbs	188 CM	No	No	No	3	Pro & Farm	1,275,000$	0$	0$	No	1,275,000$	1,275,000$	Link
Stefan Noesen	Pirates (Out)	RW	26	1993-02-12	No	205 Lbs	185 CM	No	No	No	2	Pro & Farm	1,725,000$	0$	0$	No	1,725,000$		Link
Tucker Poolman	Pirates (Out)	D	26	1993-06-08	No	199 Lbs	188 CM	No	No	No	1	Pro & Farm	1,775,000$	0$	0$	No			Link
Zac Dalpe	Pirates (Out)	C/RW	29	1989-11-01	No	194 Lbs	188 CM	No	No	No	1	Pro & Farm	725,000$	0$	0$	No			Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
19	25.21	200 Lbs	185 CM	1.58	1,113,058$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Casey Mittelstadt	40	1	2	2
2		Sean Kuraly	Stefan Noesen	30	1	2	2
3	Joel L'Esperance	Chris Wagner	Zac Dalpe	20	1	2	2
4	Alexandre Fortin	Riley Nash		10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Rasmus Andersson		40	1	2	2
2	Alexander Petrovic	Igor Ozhiganov	30	1	2	2
3	Gustav Olofsson	Tucker Poolman	20	1	2	2
4	Duncan Siemens	Mark Alt	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Casey Mittelstadt	60	1	2	2
2		Sean Kuraly	Stefan Noesen	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Rasmus Andersson		60	1	2	2
2	Alexander Petrovic	Igor Ozhiganov	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Sean Kuraly	60	1	2	2
2		Chris Wagner	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Rasmus Andersson		60	1	2	2
2	Alexander Petrovic	Igor Ozhiganov	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	Rasmus Andersson		60	1	2	2
2	Sean Kuraly	40	1	2	2	Alexander Petrovic	Igor Ozhiganov	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Sean Kuraly	60	1	2	2
2		Chris Wagner	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Rasmus Andersson		60	1	2	2
2	Alexander Petrovic	Igor Ozhiganov	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
		Casey Mittelstadt	Rasmus Andersson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
		Casey Mittelstadt	Rasmus Andersson

Extra Forwards
Normal	PowerPlay	Penalty Kill
Dominic Toninato, Chase Balisy,	Dominic Toninato, Chase Balisy

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Gustav Olofsson, Tucker Poolman, Duncan Siemens	Gustav Olofsson	Tucker Poolman, Duncan Siemens

Penalty Shots
, Sean Kuraly, , Chris Wagner, Casey Mittelstadt

Goalie
#1 : Juuse Saros, #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	Barracuda	4	2	2	0	0	0	0	0	10	11	-1	2	1	1	0	0	0	0	0	5	7	-2	2	1	1	0	0	0	0	0	5	4	1	4	0.500	10	16	26	0	0	120	66	86	16	179	1208	1012	954	108	125	38	10	49	16	3	18.75%	5	1	80.00%	1	954	2087	45.71%	784	1898	41.31%	459	1076	42.66%	1992	1400	1993	627	1146	554
2	Benchwarmers	7	6	0	0	0	0	1	0	41	13	28	2	2	0	0	0	0	0	0	16	3	13	5	4	0	0	0	0	1	0	25	10	15	14	1.000	41	62	103	0	0	120	66	86	16	252	1208	1012	954	108	251	75	24	119	34	12	35.29%	12	4	66.67%	0	954	2087	45.71%	784	1898	41.31%	459	1076	42.66%	1992	1400	1993	627	1146	554
3	Caribou	6	4	2	0	0	0	0	0	18	9	9	4	3	1	0	0	0	0	0	12	5	7	2	1	1	0	0	0	0	0	6	4	2	8	0.667	18	25	43	0	0	120	66	86	16	241	1208	1012	954	108	206	70	40	91	21	6	28.57%	20	4	80.00%	1	954	2087	45.71%	784	1898	41.31%	459	1076	42.66%	1992	1400	1993	627	1146	554
4	Casse-Tete	5	1	1	0	0	1	2	0	17	15	2	3	1	1	0	0	0	1	0	11	9	2	2	0	0	0	0	1	1	0	6	6	0	7	0.700	17	24	41	1	0	120	66	86	16	224	1208	1012	954	108	191	76	28	68	18	5	27.78%	15	4	73.33%	0	954	2087	45.71%	784	1898	41.31%	459	1076	42.66%	1992	1400	1993	627	1146	554
5	Chevalier	5	2	1	0	0	0	1	1	13	11	2	3	2	0	0	0	0	0	1	8	5	3	2	0	1	0	0	0	1	0	5	6	-1	7	0.700	13	18	31	0	0	120	66	86	16	196	1208	1012	954	108	191	69	30	89	13	3	23.08%	15	4	73.33%	0	954	2087	45.71%	784	1898	41.31%	459	1076	42.66%	1992	1400	1993	627	1146	554
6	Diabotins	8	7	1	0	0	0	0	0	31	13	18	2	2	0	0	0	0	0	0	10	2	8	6	5	1	0	0	0	0	0	21	11	10	14	0.875	31	52	83	0	0	120	66	86	16	319	1208	1012	954	108	193	58	46	135	28	10	35.71%	23	4	82.61%	1	954	2087	45.71%	784	1898	41.31%	459	1076	42.66%	1992	1400	1993	627	1146	554
7	Hooligans	4	2	0	0	0	0	0	2	11	10	1	2	1	0	0	0	0	0	1	7	6	1	2	1	0	0	0	0	0	1	4	4	0	6	0.750	11	16	27	0	1	120	66	86	16	176	1208	1012	954	108	154	52	22	83	16	5	31.25%	12	2	83.33%	0	954	2087	45.71%	784	1898	41.31%	459	1076	42.66%	1992	1400	1993	627	1146	554
8	Hybrides	8	3	2	0	0	1	2	0	21	47	-26	5	3	1	0	0	0	1	0	15	39	-24	3	0	1	0	0	1	1	0	6	8	-2	11	0.688	21	29	50	0	0	120	66	86	16	270	1208	1012	954	108	303	131	44	154	31	6	19.35%	22	0	100.00%	0	954	2087	45.71%	784	1898	41.31%	459	1076	42.66%	1992	1400	1993	627	1146	554
9	Jardiniers	4	2	1	0	0	0	1	0	15	9	6	2	1	0	0	0	0	1	0	8	3	5	2	1	1	0	0	0	0	0	7	6	1	6	0.750	15	21	36	0	0	120	66	86	16	162	1208	1012	954	108	146	63	16	71	26	8	30.77%	8	1	87.50%	0	954	2087	45.71%	784	1898	41.31%	459	1076	42.66%	1992	1400	1993	627	1146	554
10	Leftovers	9	5	1	0	0	1	0	2	32	28	4	5	4	0	0	0	1	0	0	20	14	6	4	1	1	0	0	0	0	2	12	14	-2	13	0.722	32	53	85	0	1	120	66	86	16	353	1208	1012	954	108	314	98	60	140	67	14	20.90%	24	8	66.67%	0	954	2087	45.71%	784	1898	41.31%	459	1076	42.66%	1992	1400	1993	627	1146	554
11	Requins	5	5	0	0	0	0	0	0	24	11	13	3	3	0	0	0	0	0	0	14	6	8	2	2	0	0	0	0	0	0	10	5	5	10	1.000	24	34	58	0	0	120	66	86	16	201	1208	1012	954	108	173	64	18	97	15	7	46.67%	9	2	77.78%	0	954	2087	45.71%	784	1898	41.31%	459	1076	42.66%	1992	1400	1993	627	1146	554
12	Royaux	5	2	1	0	0	0	0	2	11	11	0	3	1	1	0	0	0	0	1	7	7	0	2	1	0	0	0	0	0	1	4	4	0	6	0.600	11	16	27	1	0	120	66	86	16	161	1208	1012	954	108	202	55	30	89	14	4	28.57%	15	1	93.33%	0	954	2087	45.71%	784	1898	41.31%	459	1076	42.66%	1992	1400	1993	627	1146	554
	Total	84	48	16	0	0	4	7	9	279	222	57	42	27	6	0	0	2	3	4	150	120	30	42	21	10	0	0	2	4	5	129	102	27	123	0.732	279	419	698	2	3	120	66	86	16	3221	1208	1012	954	108	2945	1017	446	1412	359	90	25.07%	219	39	82.19%	3	954	2087	45.71%	784	1898	41.31%	459	1076	42.66%	1992	1400	1993	627	1146	554
14	Vagabond	7	4	0	0	0	1	0	2	21	15	6	4	2	0	0	0	1	0	1	12	9	3	3	2	0	0	0	0	0	1	9	6	3	11	0.786	21	34	55	0	0	120	66	86	16	246	1208	1012	954	108	262	94	38	108	28	4	14.29%	19	1	94.74%	0	954	2087	45.71%	784	1898	41.31%	459	1076	42.66%	1992	1400	1993	627	1146	554
15	Werewolves	7	3	4	0	0	0	0	0	14	19	-5	2	1	1	0	0	0	0	0	5	5	0	5	2	3	0	0	0	0	0	9	14	-5	6	0.429	14	19	33	0	1	120	66	86	16	241	1208	1012	954	108	234	74	40	119	32	3	9.38%	20	3	85.00%	0	954	2087	45.71%	784	1898	41.31%	459	1076	42.66%	1992	1400	1993	627	1146	554
	_Since Last GM Reset	84	48	16	0	0	4	7	9	279	222	57	42	27	6	0	0	2	3	4	150	120	30	42	21	10	0	0	2	4	5	129	102	27	123	0.732	279	419	698	2	3	120	66	86	16	3221	1208	1012	954	108	2945	1017	446	1412	359	90	25.07%	219	39	82.19%	3	954	2087	45.71%	784	1898	41.31%	459	1076	42.66%	1992	1400	1993	627	1146	554
	_Vs Conference	44	31	3	0	0	2	2	6	175	99	76	20	15	0	0	0	2	1	2	87	43	44	24	16	3	0	0	0	1	4	88	56	32	74	0.841	175	272	447	0	2	120	66	86	16	1709	1208	1012	954	108	1493	504	224	753	214	60	28.04%	107	22	79.44%	1	954	2087	45.71%	784	1898	41.31%	459	1076	42.66%	1992	1400	1993	627	1146	554
	_Vs Division	15	20	2	0	0	0	2	0	54	37	17	9	8	0	0	0	0	1	0	33	20	13	6	12	2	0	0	0	1	0	21	17	4	44	1.467	54	76	130	1	0	120	66	86	16	621	1208	1012	954	108	555	209	76	254	46	15	32.61%	39	10	74.36%	0	954	2087	45.71%	784	1898	41.31%	459	1076	42.66%	1992	1400	1993	627	1146	554

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
84	123	W2	279	419	698	3221	2945	1017	446	1412	2	3

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
84	48	16	0	4	7	9	279	222

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
42	27	6	0	2	3	4	150	120

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
42	21	10	0	2	4	5	129	102

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	3	0	0	0	2

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
359	90	25.07%	219	39	82.19%	3

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
1208	1012	954	108	120	66	86	16

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
954	2087	45.71%	784	1898	41.31%	459	1076	42.66%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1992	1400	1993	627	1146	554

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 - 2019-10-06	2	Hybrides	33	Pirates	1	L			BoxScore
2 - 2019-10-07	6	Pirates	3	Diabotins	1	W			BoxScore
6 - 2019-10-11	20	Pirates	6	Benchwarmers	2	W			BoxScore
7 - 2019-10-12	27	Pirates	2	Diabotins	1	W			BoxScore
9 - 2019-10-14	35	Royaux	3	Pirates	1	L			BoxScore
11 - 2019-10-16	42	Caribou	1	Pirates	3	W			BoxScore
13 - 2019-10-18	51	Pirates	2	Diabotins	4	L			BoxScore
14 - 2019-10-19	54	Pirates	2	Werewolves	0	W			BoxScore
16 - 2019-10-21	60	Leftovers	3	Pirates	4	W			BoxScore
18 - 2019-10-23	71	Hybrides	1	Pirates	2	W			BoxScore
20 - 2019-10-25	76	Pirates	1	Leftovers	5	L			BoxScore
21 - 2019-10-26	80	Pirates	1	Werewolves	4	L			BoxScore
23 - 2019-10-28	89	Leftovers	4	Pirates	3	L	X		BoxScore
25 - 2019-10-30	99	Vagabond	2	Pirates	1	L	X		BoxScore
28 - 2019-11-02	109	Pirates	3	Benchwarmers	1	W			BoxScore
29 - 2019-11-03	115	Caribou	1	Pirates	3	W			BoxScore
32 - 2019-11-06	126	Leftovers	2	Pirates	3	W			BoxScore
34 - 2019-11-08	133	Pirates	3	Casse-Tete	4	L	X		BoxScore
35 - 2019-11-09	139	Requins	3	Pirates	7	W			BoxScore
37 - 2019-11-11	147	Pirates	3	Requins	2	W			BoxScore
40 - 2019-11-14	156	Jardiniers	2	Pirates	3	W	X	X	BoxScore
42 - 2019-11-16	168	Royaux	3	Pirates	2	L	X	X	BoxScore
43 - 2019-11-17	173	Pirates	3	Hooligans	4	L	X	X	BoxScore
44 - 2019-11-18	179	Pirates	0	Caribou	2	L			BoxScore
46 - 2019-11-20	187	Vagabond	3	Pirates	5	W			BoxScore
49 - 2019-11-23	196	Pirates	1	Chevalier	3	L			BoxScore
50 - 2019-11-24	202	Jardiniers	1	Pirates	5	W			BoxScore
52 - 2019-11-26	209	Pirates	1	Werewolves	3	L			BoxScore
54 - 2019-11-28	215	Leftovers	3	Pirates	6	W			BoxScore
55 - 2019-11-29	222	Pirates	3	Leftovers	4	L	X	X	BoxScore
57 - 2019-12-01	230	Leftovers	2	Pirates	4	W			BoxScore
61 - 2019-12-05	242	Benchwarmers	1	Pirates	12	W			BoxScore
62 - 2019-12-06	252	Royaux	1	Pirates	4	W			BoxScore
64 - 2019-12-08	256	Pirates	1	Vagabond	2	L	X	X	BoxScore
66 - 2019-12-10	269	Pirates	6	Caribou	2	W			BoxScore
67 - 2019-12-11	271	Pirates	3	Werewolves	6	L			BoxScore
69 - 2019-12-13	278	Casse-Tete	2	Pirates	5	W			BoxScore
70 - 2019-12-14	286	Hybrides	2	Pirates	4	W			BoxScore
72 - 2019-12-16	295	Pirates	4	Chevalier	3	W	X	X	BoxScore
74 - 2019-12-18	300	Pirates	1	Royaux	2	L	X	X	BoxScore
76 - 2019-12-20	306	Hybrides	1	Pirates	5	W			BoxScore
77 - 2019-12-21	312	Pirates	3	Hybrides	4	L	X		BoxScore
79 - 2019-12-23	320	Diabotins	1	Pirates	2	W			BoxScore
81 - 2019-12-25	328	Pirates	1	Hybrides	3	L			BoxScore
84 - 2019-12-28	335	Hybrides	2	Pirates	3	W	X	X	BoxScore
86 - 2019-12-30	346	Requins	2	Pirates	3	W			BoxScore
87 - 2019-12-31	350	Pirates	7	Benchwarmers	1	W			BoxScore
89 - 2020-01-02	360	Barracuda	2	Pirates	3	W			BoxScore
90 - 2020-01-03	367	Pirates	4	Leftovers	0	W			BoxScore
92 - 2020-01-05	374	Pirates	2	Hybrides	1	W	X	X	BoxScore
95 - 2020-01-08	380	Pirates	4	Barracuda	2	W			BoxScore
96 - 2020-01-09	387	Casse-Tete	2	Pirates	3	W	X	X	BoxScore
98 - 2020-01-11	396	Vagabond	1	Pirates	4	W			BoxScore
102 - 2020-01-15	408	Benchwarmers	2	Pirates	4	W			BoxScore
104 - 2020-01-17	417	Pirates	2	Jardiniers	3	L			BoxScore
106 - 2020-01-19	424	Vagabond	3	Pirates	2	L	X	X	BoxScore
107 - 2020-01-20	430	Pirates	5	Benchwarmers	3	W			BoxScore
108 - 2020-01-21	435	Pirates	6	Diabotins	2	W			BoxScore
110 - 2020-01-23	440	Caribou	2	Pirates	1	L			BoxScore
112 - 2020-01-25	447	Pirates	5	Jardiniers	3	W			BoxScore
114 - 2020-01-27	454	Pirates	4	Benchwarmers	3	W	X	X	BoxScore
115 - 2020-01-28	461	Chevalier	2	Pirates	4	W			BoxScore
118 - 2020-01-31	470	Werewolves	3	Pirates	4	W			BoxScore
120 - 2020-02-02	482	Casse-Tete	5	Pirates	3	L			BoxScore
121 - 2020-02-03	486	Pirates	7	Requins	3	W			BoxScore
123 - 2020-02-05	495	Pirates	3	Diabotins	2	W			BoxScore
125 - 2020-02-07	500	Pirates	2	Werewolves	1	W			BoxScore
127 - 2020-02-09	506	Requins	1	Pirates	4	W			BoxScore
129 - 2020-02-11	513	Pirates	4	Vagabond	2	W			BoxScore
131 - 2020-02-13	518	Caribou	1	Pirates	5	W			BoxScore
133 - 2020-02-15	525	Pirates	3	Casse-Tete	2	W	X	X	BoxScore
134 - 2020-02-16	531	Pirates	1	Hooligans	0	W			BoxScore
136 - 2020-02-18	537	Hooligans	2	Pirates	4	W			BoxScore
139 - 2020-02-21	546	Pirates	4	Leftovers	5	L	X	X	BoxScore
140 - 2020-02-22	553	Werewolves	2	Pirates	1	L			BoxScore
142 - 2020-02-24	562	Pirates	4	Vagabond	2	W			BoxScore
144 - 2020-02-26	568	Pirates	3	Royaux	2	W			BoxScore
145 - 2020-02-27	572	Barracuda	5	Pirates	2	L			BoxScore
147 - 2020-02-29	584	Hooligans	4	Pirates	3	L	X	X	BoxScore
149 - 2020-03-02	588	Pirates	1	Barracuda	2	L			BoxScore
152 - 2020-03-05	598	Diabotins	1	Pirates	8	W			BoxScore
154 - 2020-03-07	608	Chevalier	2	Pirates	1	L	X	X	BoxScore
155 - 2020-03-08	609	Pirates	5	Diabotins	1	W			BoxScore
162 - 2020-03-15	630	Chevalier	1	Pirates	3	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
2,175,457$	2,114,810$	1,757,360$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
12,974$	2,175,457$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	12,974$	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
2019	84	48	16	0	0	4	7	9	279	222	57	42	27	6	0	0	2	3	4	150	120	30	42	21	10	0	0	2	4	5	129	102	27	123	279	419	698	2	3	120	66	86	16	3221	1208	1012	954	108	2945	1017	446	1412	359	90	25.07%	219	39	82.19%	3	954	2087	45.71%	784	1898	41.31%	459	1076	42.66%	1992	1400	1993	627	1146	554
Total Regular Season	84	48	16	0	0	4	7	9	279	222	57	42	27	6	0	0	2	3	4	150	120	30	42	21	10	0	0	2	4	5	129	102	27	123	279	419	698	2	3	120	66	86	16	3221	1208	1012	954	108	2945	1017	446	1412	359	90	25.07%	219	39	82.19%	3	954	2087	45.71%	784	1898	41.31%	459	1076	42.66%	1992	1400	1993	627	1146	554