Ligue de hockey Simulée Ste-Flanelle

Winnipeg
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	Miles Wood		X	X		100.00	59	56	69	71	67	63	80	59	42	52	66	57	48	43	36	0	50	59	0
2	Brandon Pirri	X	X			100.00	48	43	85	70	58	72	45	56	81	50	61	56	53	50	46	0	50	57	0
3	Zac Rinaldo		X	X		100.00	84	56	76	74	62	52	45	47	35	41	52	63	48	51	44	0	50	55	0
4	Cory Conacher		X	X		100.00	53	35	80	71	53	59	46	52	35	45	58	54	45	48	41	0	50	54	0
5	Frank Vatrano		X	X		100.00	59	35	79	66	68	62	49	48	43	41	54	63	45	44	37	0	50	54	0
6	Frederik Gauthier	X				100.00	48	35	83	66	84	57	37	50	80	41	58	59	48	40	36	0	50	54	0
7	Anthony Cirelli	X				100.00	47	35	86	78	55	55	36	47	60	44	50	67	48	35	32	0	50	53	0
8	Michael Sgarbossa	X	X			100.00	54	43	87	71	58	52	38	47	76	49	46	58	47	42	38	0	50	52	0
9	Patrick Brown	X		X		100.00	54	35	92	67	73	56	36	42	62	39	44	66	47	37	34	0	50	51	0
10	Sam Carrick	X	X	X		100.00	56	43	74	68	60	51	32	43	65	39	45	68	46	35	32	0	50	51	0
11	Andrew Agozzino	X	X			100.00	46	35	93	70	58	46	31	42	52	50	32	64	46	35	32	0	50	49	0
12	Stanislav Galiev		X	X		100.00	47	35	88	66	60	46	33	41	35	42	40	63	46	35	32	0	50	49	0
13	Tyler Wotherspoon				X	100.00	53	35	94	62	68	57	34	36	35	41	31	73	54	42	39	0	50	54	0
14	Michal Jordan				X	100.00	51	35	85	60	63	50	38	36	35	32	39	74	46	41	36	0	50	53	0
15	Marcus Pettersson (R)				X	100.00	52	35	87	66	57	50	37	43	35	43	43	64	48	35	32	0	50	52	0
16	Patrick Sieloff (R)				X	100.00	64	35	95	61	67	53	35	37	35	33	41	64	48	37	34	0	50	52	0
17	Mark Alt (R)				X	100.00	54	35	91	61	67	49	36	31	35	30	32	64	48	37	34	0	50	50	0
18	Christian Wolanin				X	100.00	50	35	95	68	59	51	35	37	35	35	39	51	48	35	32	0	50	49	0
Scratches
1	Frederick Gaudreau (R)	X		X		100.00	45	35	92	70	55	53	37	42	49	48	35	55	48	38	35	0	50	49	0
2	Andrew Poturalski	X				100.00	46	35	94	77	54	50	33	33	49	33	33	64	47	35	32	0	50	47	0
3	Nicolas Roy	X				100.00	50	35	95	63	73	52	35	35	67	35	35	60	48	35	32	0	50	47	0
4	Artur Kayumov (R)		X	X		100.00	45	45	45	45	53	45	45	45	45	45	45	45	45	32	30	0	50	45	0
5	Brett Bulmer		X	X		100.00	54	43	49	62	74	41	31	32	35	32	32	58	46	37	34	0	50	45	0
6	Deven Sideroff (R)			X		100.00	41	43	43	43	57	40	40	41	43	41	41	43	42	32	30	0	50	43	0
7	Jean-Christophe Beaudin (R)	X		X		100.00	41	43	43	43	61	40	40	41	43	41	41	43	42	32	30	0	50	43	0
8	William Lockwood (R)			X		100.00	43	43	43	43	51	43	43	43	43	43	43	43	43	32	30	0	50	43	0
9	Teemu Hartikainen	X	X	X		100.00	30	73	47	47	74	29	43	31	35	31	31	47	45	41	36	0	50	41	0
10	Glenn Gawdin (R)	X				100.00	38	40	40	40	64	37	37	38	40	38	38	40	39	32	30	0	50	41	0
11	Mathieu Joseph (R)		X	X		100.00	38	40	40	40	52	37	37	38	40	38	38	40	39	32	30	0	50	40	0
12	Matt Schmalz (R)	X		X		100.00	35	37	37	37	77	35	35	35	37	35	35	37	36	32	30	0	50	39	0
13	Pavel Karnaukhov (R)		X			100.00	35	37	37	37	67	35	35	35	37	35	35	37	36	32	30	0	50	39	0
14	Logan Stanley (R)				X	100.00	50	50	50	50	80	50	50	50	50	50	50	50	50	32	30	0	50	50	0
15	Chad Krys (R)				X	100.00	45	45	45	45	58	45	45	45	45	45	45	45	45	32	30	0	50	45	0
16	Kenney Morrison (R)				X	100.00	43	45	45	45	66	42	42	43	45	43	43	45	44	32	30	0	50	45	0
17	Josh Jacobs (R)				X	100.00	41	45	45	45	62	39	39	41	45	41	41	45	43	32	30	0	50	44	0
18	Mitchell Vande Sompel (R)				X	100.00	41	43	43	43	60	40	40	41	43	41	41	43	42	32	30	0	50	43	0
19	Sam Ruopp (R)				X	100.00	35	37	37	37	64	35	35	35	37	35	35	37	36	32	30	0	50	39	0
20	Stephen Desrocher (R)				X	100.00	35	37	37	37	69	35	35	35	37	35	35	37	36	32	30	0	50	39	0
21	Yann Sauve				X	100.00	30	85	35	35	69	29	40	31	35	31	31	35	45	37	34	0	50	38	0

	TEAM AVERAGE					100.00	47	42	66	56	64	47	39	41	46	40	42	53	45	37	33	0	50	48

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	Richard Bachman	100.00	42	45	87	65	43	46	48	43	43	62	60	48	44	0	50	50	0
2	Adin Hill	100.00	37	45	75	77	36	48	50	35	45	65	87	35	32	0	50	48	0
Scratches
1	Marek Langhamer (R)	100.00	45	45	45	69	41	45	45	37	45	65	45	37	34	0	50	47	0
2	CJ Motte (R)	100.00	43	45	43	63	42	41	41	41	41	41	40	32	30	0	50	43	0
3	Joren Van Pottelberghe (R)	100.00	39	40	39	68	39	38	38	38	38	38	37	32	30	0	50	41	0
4	Martin Ouellette (R)	100.00	35	37	35	57	34	33	33	33	33	33	33	32	30	0	50	37	0

	TEAM AVERAGE	100.00	40	43	54	67	39	42	43	38	41	51	50	36	33	0	50	44

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Brandon Pirri	Oceanics (Win)	C/LW	79	43	78	121	37	6	0	12	198	319	82	225	13.48%	9	1536	19.45	11	33	44	76	260	1	0	1	2	59	7	3	68.08%	1964	0	1	1.58	2	4	0	0	0	9	9	3
2	Miles Wood	Oceanics (Win)	LW/RW	80	51	69	120	39	35	5	73	137	397	113	290	12.85%	12	1585	19.82	13	22	35	95	254	0	1	1	5	85	11	3	47.79%	113	0	1	1.51	3	4	1	0	0	9	10	8
3	Cory Conacher	Oceanics (Win)	LW/RW	82	38	63	101	39	31	5	74	89	296	77	206	12.84%	7	1327	16.19	12	22	34	69	242	0	0	0	0	0	7	2	48.96%	96	0	0	1.52	0	0	0	0	1	7	2	7
4	Zac Rinaldo	Oceanics (Win)	LW/RW	82	38	59	97	35	143	25	221	134	288	78	180	13.19%	11	1463	17.84	13	17	30	54	257	0	0	0	0	7	7	3	45.76%	118	0	0	1.33	0	3	1	1	3	4	8	8
5	Frederik Gauthier	Oceanics (Win)	C	82	39	56	95	38	33	5	42	136	292	62	203	13.36%	10	1410	17.21	8	17	25	62	241	0	0	0	2	51	6	1	67.98%	1574	0	1	1.35	0	4	1	0	0	6	5	6
6	Frank Vatrano	Oceanics (Win)	LW/RW	78	39	53	92	34	55	5	140	87	262	80	182	14.89%	9	1428	18.31	8	15	23	54	232	1	1	2	4	131	8	2	54.81%	104	0	0	1.29	1	5	0	1	0	10	3	4
7	Anthony Cirelli	Oceanics (Win)	C	82	40	27	67	48	8	0	44	140	220	66	165	18.18%	12	1065	12.99	0	1	1	2	3	2	1	3	4	136	5	2	56.55%	1091	0	0	1.26	1	1	0	0	0	8	7	6
8	Tyler Wotherspoon	Oceanics (Win)	D	82	20	42	62	24	46	0	72	74	126	51	69	15.87%	84	1848	22.54	12	15	27	54	244	0	0	0	2	219	5	0	0.00%	0	0	0	0.67	1	2	0	0	0	1	2	4
9	Marcus Pettersson	Oceanics (Win)	D	74	14	39	53	43	36	0	76	55	118	36	60	11.86%	66	1554	21.01	11	11	22	64	211	0	1	1	3	189	1	0	0.00%	0	0	0	0.68	0	1	0	0	0	1	1	4
10	Patrick Sieloff	Oceanics (Win)	D	82	14	37	51	55	40	0	102	40	103	37	74	13.59%	79	1697	20.70	7	15	22	55	239	0	1	1	0	208	1	0	0.00%	0	0	0	0.60	0	1	0	0	0	1	3	2
11	Michael Sgarbossa	Oceanics (Win)	C/LW	82	15	32	47	46	24	0	81	78	146	52	99	10.27%	4	918	11.21	0	0	0	2	3	0	0	0	0	0	2	0	65.38%	52	0	0	1.02	0	0	0	0	0	2	2	2
12	Patrick Brown	Oceanics (Win)	C/RW	82	9	37	46	48	26	0	61	100	136	47	93	6.62%	15	1242	15.15	0	1	1	5	32	0	0	0	8	260	2	0	56.04%	530	0	0	0.74	0	0	0	0	0	0	3	0
13	Michal Jordan	Oceanics (Win)	D	54	8	29	37	16	28	0	66	41	90	38	58	8.89%	47	1167	21.62	3	10	13	43	165	1	1	2	2	134	0	2	0.00%	0	0	0	0.63	0	0	0	0	0	0	2	0
14	Mark Alt	Oceanics (Win)	D	82	7	25	32	28	50	0	96	34	63	19	54	11.11%	61	1376	16.79	0	3	3	7	60	0	0	0	1	89	1	0	0.00%	0	0	0	0.46	0	0	0	0	0	1	0	3
15	Sam Carrick	Oceanics (Win)	C/LW/RW	82	5	17	22	-9	49	25	89	88	93	27	76	5.38%	12	953	11.62	1	1	2	2	27	0	1	1	10	272	0	0	58.20%	744	1	0	0.46	0	0	0	1	4	0	1	0
16	Andrew Agozzino	Oceanics (Win)	C/LW	82	8	7	15	-12	6	0	14	78	76	30	50	10.53%	8	646	7.88	0	0	0	0	0	0	0	0	0	0	0	1	51.52%	33	0	0	0.46	0	0	0	0	0	0	0	1
17	Stanislav Galiev	Oceanics (Win)	LW/RW	82	6	9	15	-12	10	0	29	41	87	24	66	6.90%	9	653	7.96	0	0	0	2	11	0	0	0	0	0	0	0	40.00%	35	0	0	0.46	0	0	0	0	0	1	1	0
18	Christian Wolanin	Oceanics (Win)	D	82	1	11	12	29	49	5	77	15	36	12	18	2.78%	45	1325	16.17	0	1	1	4	34	0	0	0	0	53	0	0	0.00%	0	0	0	0.18	0	0	0	0	1	0	0	0
19	Luke Schenn	Winnipeg	D	9	3	5	8	2	50	20	30	5	19	6	8	15.79%	8	176	19.57	2	2	4	8	20	0	0	0	0	13	0	0	0.00%	0	0	0	0.91	0	0	4	0	0	1	0	0
20	Frederick Gaudreau	Oceanics (Win)	C/RW	7	2	5	7	4	0	0	2	9	10	3	10	20.00%	0	133	19.14	1	2	3	3	23	0	0	0	0	7	0	0	47.06%	34	0	0	1.05	0	1	0	0	0	0	2	0
21	Logan Stanley	Oceanics (Win)	D	27	4	2	6	19	31	5	44	6	27	5	8	14.81%	12	557	20.65	3	1	4	16	76	0	0	0	0	77	0	0	0.00%	0	0	0	0.22	0	0	1	0	0	0	0	0
22	Nicolas Roy	Oceanics (Win)	C	2	0	1	1	2	0	0	0	3	1	1	1	0.00%	0	33	16.96	0	0	0	0	8	0	0	0	0	0	0	0	44.44%	36	0	0	0.59	0	0	0	0	0	0	0	0
Team Total or Average				1476	404	703	1107	553	756	100	1445	1588	3205	946	2195	12.61%	520	24101	16.33	105	189	294	677	2654	5	7	12	43	2001	63	19	62.28%	6524	1	3	0.92	8	26	8	3	9	61	61	58

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	A	EG	PS %	PSA	ST	BG	S1	S3
1	Adin Hill	Oceanics (Win)	60	50	6	2	0.882	2.80	3424	6	1	160	1354	4	0	0.706	17	58	24	2	0
2	Richard Bachman	Oceanics (Win)	28	16	6	2	0.866	3.47	1522	0	1	88	656	0	1	0.667	9	24	58	0	1
Team Total or Average			88	66	12	4	0.877	3.01	4947	6	2	248	2010	4	1	0.692	26	82	82	2	1

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
Adin Hill	Oceanics (Win)	G	21	1996-05-11	No	202 Lbs	6 ft6	No	No	No	3	ELC	Pro & Farm	700,000$	70,000$	0$	No	Link
Andrew Agozzino	Oceanics (Win)	C/LW	26	1991-01-03	No	187 Lbs	5 ft10	No	No	No	1	RFA	Pro & Farm	590,000$	59,000$	0$	No	Link
Andrew Poturalski	Oceanics (Win)	C	23	1994-01-14	No	180 Lbs	5 ft10	No	No	No	3	RFA	Pro & Farm	792,000$	79,200$	0$	No	Link
Anthony Cirelli	Oceanics (Win)	C	20	1997-07-15	No	180 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	700,000$	70,000$	0$	No	Link
Artur Kayumov	Oceanics (Win)	LW/RW	19	1998-02-14	Yes	176 Lbs	5 ft11	No	No	No	4	ELC	Pro & Farm	825,000$	82,500$	0$	No	Link
Brandon Pirri (Out of Payroll)	Oceanics (Win)	C/LW	26	1991-04-10	No	186 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	2,000,000$	0$	0$	Yes	Link
Brett Bulmer	Oceanics (Win)	LW/RW	25	1992-04-26	No	212 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	775,000$	77,500$	0$	No	Link
CJ Motte	Oceanics (Win)	G	25	1991-12-10	Yes	175 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	825,000$	82,500$	0$	No	Link
Chad Krys	Oceanics (Win)	D	19	1998-04-10	Yes	185 Lbs	6 ft0	No	No	No	4	ELC	Pro & Farm	825,000$	82,500$	0$	No	Link
Christian Wolanin	Oceanics (Win)	D	22	1995-03-17	No	185 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	650,000$	65,000$	0$	No	Link
Cory Conacher	Oceanics (Win)	LW/RW	27	1989-12-14	No	180 Lbs	5 ft8	No	No	No	1	RFA	Pro & Farm	818,000$	81,800$	0$	No	Link
Deven Sideroff	Oceanics (Win)	RW	20	1997-04-14	Yes	183 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	700,000$	70,000$	0$	No	Link
Frank Vatrano	Oceanics (Win)	LW/RW	23	1994-03-14	No	201 Lbs	5 ft9	No	No	No	2	RFA	Pro & Farm	743,000$	74,300$	0$	No	Link
Frederick Gaudreau	Oceanics (Win)	C/RW	24	1993-05-01	Yes	179 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	595,000$	59,500$	0$	No	Link
Frederik Gauthier	Oceanics (Win)	C	22	1995-04-26	No	232 Lbs	6 ft5	No	No	No	2	RFA	Pro & Farm	925,000$	92,500$	0$	No	Link
Glenn Gawdin	Oceanics (Win)	C	20	1997-03-25	Yes	191 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	650,000$	65,000$	0$	No	Link
Jean-Christophe Beaudin	Oceanics (Win)	C/RW	20	1997-03-27	Yes	187 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	700,000$	70,000$	0$	No	Link
Joren Van Pottelberghe	Oceanics (Win)	G	20	1997-06-05	Yes	187 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	650,000$	65,000$	0$	No	Link
Josh Jacobs	Oceanics (Win)	D	21	1996-02-15	Yes	193 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	825,000$	82,500$	0$	No	Link
Kenney Morrison	Oceanics (Win)	D	25	1992-02-13	Yes	200 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	825,000$	82,500$	0$	No	Link
Logan Stanley	Oceanics (Win)	D	19	1998-05-26	Yes	231 Lbs	6 ft7	No	No	No	4	ELC	Pro & Farm	925,000$	92,500$	0$	No	Link
Marcus Pettersson	Oceanics (Win)	D	21	1996-05-08	Yes	180 Lbs	6 ft4	No	No	No	2	ELC	Pro & Farm	725,000$	72,500$	0$	No	Link
Marek Langhamer	Oceanics (Win)	G	23	1994-07-22	Yes	190 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	648,000$	64,800$	0$	No	Link
Mark Alt	Oceanics (Win)	D	25	1991-10-18	Yes	201 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	790,000$	79,000$	0$	No	Link
Martin Ouellette	Oceanics (Win)	G	25	1991-12-30	Yes	160 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	525,000$	52,500$	0$	No	Link
Mathieu Joseph	Oceanics (Win)	LW/RW	20	1997-02-09	Yes	172 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	650,000$	65,000$	0$	No	Link
Matt Schmalz	Oceanics (Win)	C/RW	21	1996-03-21	Yes	217 Lbs	6 ft6	No	No	No	3	ELC	Pro & Farm	525,000$	52,500$	0$	No	Link
Michael Sgarbossa	Oceanics (Win)	C/LW	25	1992-07-25	No	186 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	650,000$	65,000$	0$	No	Link
Michal Jordan	Oceanics (Win)	D	27	1990-07-17	No	195 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	700,000$	70,000$	0$	No	Link
Miles Wood	Oceanics (Win)	LW/RW	22	1995-09-13	No	195 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	925,000$	92,500$	0$	No	Link
Mitchell Vande Sompel	Oceanics (Win)	D	20	1997-02-11	Yes	190 Lbs	5 ft10	No	No	No	3	ELC	Pro & Farm	700,000$	70,000$	0$	No	Link
Nicolas Roy	Oceanics (Win)	C	20	1997-02-05	No	208 Lbs	6 ft4	No	No	No	3	ELC	Pro & Farm	650,000$	65,000$	0$	No	Link
Patrick Brown	Oceanics (Win)	C/RW	25	1992-05-29	No	210 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	1,101,000$	110,100$	0$	No	Link
Patrick Sieloff	Oceanics (Win)	D	23	1994-05-15	Yes	205 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	925,000$	92,500$	0$	No	Link
Pavel Karnaukhov	Oceanics (Win)	LW	20	1997-03-15	Yes	194 Lbs	6 ft3	No	No	No	3	ELC	Pro & Farm	525,000$	52,500$	0$	No	Link
Richard Bachman	Oceanics (Win)	G	30	1987-07-25	No	183 Lbs	5 ft10	No	No	No	2	UFA	Pro & Farm	650,000$	65,000$	0$	No	Link
Sam Carrick	Oceanics (Win)	C/LW/RW	25	1992-02-04	No	188 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	1,010,000$	101,000$	0$	No	Link
Sam Ruopp	Oceanics (Win)	D	21	1996-06-03	Yes	195 Lbs	6 ft4	No	No	No	3	ELC	Pro & Farm	525,000$	52,500$	0$	No	Link
Stanislav Galiev	Oceanics (Win)	LW/RW	25	1992-01-17	No	187 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	550,000$	55,000$	0$	No	Link
Stephen Desrocher	Oceanics (Win)	D	21	1996-01-26	Yes	206 Lbs	6 ft4	No	No	No	3	ELC	Pro & Farm	525,000$	52,500$	0$	No	Link
Teemu Hartikainen	Oceanics (Win)	C/LW/RW	27	1990-05-03	No	214 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	875,000$	87,500$	0$	No	Link
Tyler Wotherspoon	Oceanics (Win)	D	24	1993-03-12	No	207 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	900,000$	90,000$	0$	No	Link
William Lockwood	Oceanics (Win)	RW	19	1998-06-20	Yes	172 Lbs	5 ft11	No	No	No	4	ELC	Pro & Farm	700,000$	70,000$	0$	No	Link
Yann Sauve	Oceanics (Win)	D	27	1990-02-18	No	209 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	762,000$	76,200$	0$	No	Link
Zac Rinaldo	Oceanics (Win)	LW/RW	27	1990-06-15	No	192 Lbs	5 ft10	No	No	No	3	RFA	Pro & Farm	800,000$	80,000$	0$	No	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
45	22.89	193 Lbs	6 ft1	2.42	763,867$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Zac Rinaldo	Brandon Pirri	Miles Wood	40	0	1	4
2	Cory Conacher	Frederik Gauthier	Frank Vatrano	30	0	1	4
3	Michael Sgarbossa	Anthony Cirelli	Patrick Brown	20	0	1	4
4	Andrew Agozzino	Sam Carrick	Stanislav Galiev	10	0	2	3

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Michal Jordan	Tyler Wotherspoon	45	0	1	4
2	Marcus Pettersson	Patrick Sieloff	35	1	1	3
3	Mark Alt	Christian Wolanin	10	1	2	2
4	Marcus Pettersson	Tyler Wotherspoon	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Zac Rinaldo	Brandon Pirri	Miles Wood	60	0	0	5
2	Cory Conacher	Frederik Gauthier	Frank Vatrano	40	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Michal Jordan	Tyler Wotherspoon	60	0	1	4
2	Marcus Pettersson	Patrick Sieloff	40	0	1	4

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Patrick Brown	Sam Carrick	60	0	5	0
2	Anthony Cirelli	Frank Vatrano	40	0	5	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Tyler Wotherspoon	Michal Jordan	60	0	5	0
2	Patrick Sieloff	Marcus Pettersson	40	0	5	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Patrick Brown	60	0	5	0	Michal Jordan	Tyler Wotherspoon	60	0	5	0
2	Sam Carrick	40	0	5	0	Marcus Pettersson	Patrick Sieloff	40	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Brandon Pirri	Miles Wood	60	0	1	4
2	Frederik Gauthier	Frank Vatrano	40	0	1	4

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Tyler Wotherspoon	Michal Jordan	60	0	1	4
2	Patrick Sieloff	Marcus Pettersson	40	0	2	3

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Frank Vatrano	Brandon Pirri	Miles Wood	Michal Jordan	Tyler Wotherspoon

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Sam Carrick	Anthony Cirelli	Patrick Brown	Michal Jordan	Tyler Wotherspoon

Extra Forwards
Normal	PowerPlay	Penalty Kill
Miles Wood, Frederik Gauthier, Frank Vatrano	Miles Wood, Brandon Pirri	Patrick Brown

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Tyler Wotherspoon, Michal Jordan, Marcus Pettersson	Tyler Wotherspoon	Tyler Wotherspoon, Michal Jordan

Penalty Shots
Frederik Gauthier, Frank Vatrano, Miles Wood, Brandon Pirri, Zac Rinaldo

Goalie
#1 : Adin Hill, #2 : Richard Bachman

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	Admirals	3	3	0	0	0	0	0	0	14	7	7	2	2	0	0	0	0	0	0	10	5	5	1	1	0	0	0	0	0	0	4	2	2	6	1.000	14	27	41	0	0	159	132	113	8	115	1118	1011	1063	39	66	19	27	55	14	6	42.86%	11	1	90.91%	0	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
2	Baby Hawks	4	3	1	0	0	0	0	0	19	11	8	2	2	0	0	0	0	0	0	13	5	8	2	1	1	0	0	0	0	0	6	6	0	6	0.750	19	33	52	0	0	159	132	113	8	127	1118	1011	1063	39	93	29	25	68	11	2	18.18%	10	3	70.00%	0	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
3	Bears	2	2	0	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	2	2	4	1.000	9	17	26	0	0	159	132	113	8	73	1118	1011	1063	39	41	13	14	32	9	2	22.22%	7	1	85.71%	0	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
4	Bruins	2	2	0	0	0	0	0	0	10	3	7	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	6	1	5	4	1.000	10	15	25	0	0	159	132	113	8	85	1118	1011	1063	39	33	6	24	25	13	6	46.15%	7	0	100.00%	0	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
5	Cabaret Lady Mary Ann	2	2	0	0	0	0	0	0	14	3	11	1	1	0	0	0	0	0	0	7	0	7	1	1	0	0	0	0	0	0	7	3	4	4	1.000	14	23	37	0	1	159	132	113	8	108	1118	1011	1063	39	45	16	31	30	13	4	30.77%	8	3	62.50%	0	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
6	Caroline	2	2	0	0	0	0	0	0	14	4	10	1	1	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	7	2	5	4	1.000	14	23	37	0	0	159	132	113	8	106	1118	1011	1063	39	50	9	25	27	12	2	16.67%	5	1	80.00%	0	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
7	Chiefs	4	2	1	0	0	0	0	1	20	13	7	2	1	1	0	0	0	0	0	9	6	3	2	1	0	0	0	0	0	1	11	7	4	5	0.625	20	36	56	0	0	159	132	113	8	131	1118	1011	1063	39	97	19	24	80	19	5	26.32%	11	4	63.64%	1	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
8	Chill	4	3	0	0	0	0	1	0	21	15	6	2	2	0	0	0	0	0	0	10	7	3	2	1	0	0	0	0	1	0	11	8	3	8	1.000	21	37	58	0	0	159	132	113	8	144	1118	1011	1063	39	103	27	32	76	12	5	41.67%	16	4	75.00%	0	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
9	Comets	3	2	1	0	0	0	0	0	10	8	2	1	1	0	0	0	0	0	0	4	2	2	2	1	1	0	0	0	0	0	6	6	0	4	0.667	10	16	26	0	0	159	132	113	8	121	1118	1011	1063	39	60	12	20	48	8	1	12.50%	10	3	70.00%	0	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
10	Cougars	2	0	1	0	0	0	0	1	8	12	-4	1	0	0	0	0	0	0	1	4	5	-1	1	0	1	0	0	0	0	0	4	7	-3	1	0.250	8	14	22	0	0	159	132	113	8	74	1118	1011	1063	39	65	13	30	40	9	2	22.22%	9	5	44.44%	0	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
11	Crunch	2	2	0	0	0	0	0	0	13	5	8	1	1	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	6	1	5	4	1.000	13	25	38	0	0	159	132	113	8	87	1118	1011	1063	39	41	14	8	24	6	3	50.00%	3	0	100.00%	0	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
12	Heat	3	1	0	0	0	0	2	0	17	12	5	2	1	0	0	0	0	1	0	12	8	4	1	0	0	0	0	0	1	0	5	4	1	6	1.000	17	24	41	0	0	159	132	113	8	137	1118	1011	1063	39	71	18	59	58	22	2	9.09%	15	4	73.33%	1	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
13	Jayhawks	3	3	0	0	0	0	0	0	15	5	10	1	1	0	0	0	0	0	0	4	1	3	2	2	0	0	0	0	0	0	11	4	7	6	1.000	15	28	43	0	0	159	132	113	8	103	1118	1011	1063	39	77	30	31	50	8	3	37.50%	12	0	100.00%	0	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
14	Las Vegas	3	2	1	0	0	0	0	0	13	10	3	1	1	0	0	0	0	0	0	4	2	2	2	1	1	0	0	0	0	0	9	8	1	4	0.667	13	20	33	0	0	159	132	113	8	105	1118	1011	1063	39	96	16	30	57	8	2	25.00%	14	3	78.57%	1	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
15	Manchots	2	2	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	3	1	2	4	1.000	7	14	21	0	0	159	132	113	8	56	1118	1011	1063	39	26	12	10	27	9	0	0.00%	5	1	80.00%	0	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
16	Marlies	2	0	1	0	0	1	0	0	6	10	-4	1	0	1	0	0	0	0	0	2	5	-3	1	0	0	0	0	1	0	0	4	5	-1	1	0.250	6	11	17	0	0	159	132	113	8	63	1118	1011	1063	39	69	17	16	31	6	4	66.67%	8	3	62.50%	0	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
17	Minnesota	5	4	1	0	0	0	0	0	29	18	11	2	1	1	0	0	0	0	0	13	7	6	3	3	0	0	0	0	0	0	16	11	5	8	0.800	29	50	79	0	0	159	132	113	8	203	1118	1011	1063	39	118	33	34	85	21	5	23.81%	17	3	82.35%	1	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
18	Monarchs	3	3	0	0	0	0	0	0	20	10	10	1	1	0	0	0	0	0	0	7	3	4	2	2	0	0	0	0	0	0	13	7	6	6	1.000	20	36	56	0	0	159	132	113	8	148	1118	1011	1063	39	86	20	24	51	17	8	47.06%	12	0	100.00%	0	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
19	Monsters	2	2	0	0	0	0	0	0	12	4	8	1	1	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	5	1	4	4	1.000	12	19	31	0	0	159	132	113	8	75	1118	1011	1063	39	45	18	15	40	7	3	42.86%	5	0	100.00%	0	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
20	Monsters	5	2	2	0	0	0	0	1	23	25	-2	3	1	1	0	0	0	0	1	13	13	0	2	1	1	0	0	0	0	0	10	12	-2	5	0.500	23	40	63	0	0	159	132	113	8	164	1118	1011	1063	39	145	28	48	84	24	9	37.50%	24	6	75.00%	0	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
21	Oil Kings	3	3	0	0	0	0	0	0	16	7	9	2	2	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	7	2	5	6	1.000	16	27	43	0	0	159	132	113	8	137	1118	1011	1063	39	67	15	25	66	11	2	18.18%	10	3	70.00%	0	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
22	Phantoms	2	2	0	0	0	0	0	0	11	6	5	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	6	5	1	4	1.000	11	20	31	0	0	159	132	113	8	76	1118	1011	1063	39	54	13	12	39	9	6	66.67%	6	1	83.33%	0	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
23	Rocket	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	1	3	4	1.000	8	15	23	0	0	159	132	113	8	95	1118	1011	1063	39	34	9	14	28	8	2	25.00%	7	2	71.43%	0	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
24	Senators	2	2	0	0	0	0	0	0	10	3	7	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	3	2	1	4	1.000	10	18	28	0	0	159	132	113	8	65	1118	1011	1063	39	35	8	12	28	6	2	33.33%	6	0	100.00%	0	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
25	Sharks	3	2	1	0	0	0	0	0	14	13	1	2	1	1	0	0	0	0	0	10	11	-1	1	1	0	0	0	0	0	0	4	2	2	4	0.667	14	23	37	0	0	159	132	113	8	169	1118	1011	1063	39	102	28	18	65	15	4	26.67%	8	1	87.50%	0	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
26	Sound Tigers	2	2	0	0	0	0	0	0	11	7	4	1	1	0	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	5	2	3	4	1.000	11	18	29	0	0	159	132	113	8	57	1118	1011	1063	39	37	3	16	39	11	5	45.45%	7	2	71.43%	0	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
27	Spiders	2	1	1	0	0	0	0	0	4	7	-3	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	0	4	-4	2	0.500	4	6	10	0	0	159	132	113	8	70	1118	1011	1063	39	56	17	44	39	7	0	0.00%	11	1	90.91%	0	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
28	Stars	4	3	1	0	0	0	0	0	17	8	9	2	2	0	0	0	0	0	0	12	2	10	2	1	1	0	0	0	0	0	5	6	-1	6	0.750	17	28	45	1	1	159	132	113	8	134	1118	1011	1063	39	83	29	38	74	16	4	25.00%	18	3	83.33%	0	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
29	Thunder	2	2	0	0	0	0	0	0	10	7	3	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	5	3	2	4	1.000	10	18	28	0	0	159	132	113	8	72	1118	1011	1063	39	56	18	44	41	7	3	42.86%	12	4	66.67%	1	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
	Total	82	63	12	0	0	1	3	3	407	252	155	41	33	5	0	0	0	1	2	215	123	92	41	30	7	0	0	1	2	1	192	129	63	136	0.829	407	703	1110	1	2	159	132	113	8	3205	1118	1011	1063	39	2011	520	762	1445	349	105	30.09%	300	63	79.00%	5	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
31	Wolf Pack	2	2	0	0	0	0	0	0	12	6	6	1	1	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	5	4	1	4	1.000	12	22	34	0	0	159	132	113	8	105	1118	1011	1063	39	60	11	12	38	11	3	27.27%	6	1	83.33%	0	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
	_Since Last GM Reset	82	63	12	0	0	1	3	3	407	252	155	41	33	5	0	0	0	1	2	215	123	92	41	30	7	0	0	1	2	1	192	129	63	136	0.829	407	703	1110	1	2	159	132	113	8	3205	1118	1011	1063	39	2011	520	762	1445	349	105	30.09%	300	63	79.00%	5	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
	_Vs Conference	35	30	3	0	0	1	1	0	171	107	64	18	16	2	0	0	0	0	0	93	58	35	17	14	1	0	0	1	1	0	78	49	29	63	0.900	171	301	472	0	0	159	132	113	8	1373	1118	1011	1063	39	869	230	320	626	153	57	37.25%	127	20	84.25%	1	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
	_Vs Division	16	10	2	0	0	1	1	0	79	47	32	8	5	2	0	0	0	0	0	40	24	16	8	5	0	0	0	1	1	0	39	23	16	23	0.719	79	139	218	0	1	159	132	113	8	649	1118	1011	1063	39	378	101	179	247	68	26	38.24%	60	17	71.67%	1	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	136	W1	407	703	1110	3205	2011	520	762	1445	1	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	63	12	0	1	3	3	407	252

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	33	5	0	0	1	2	215	123

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	30	7	0	1	2	1	192	129

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	3	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
349	105	30.09%	300	63	79.00%	5

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
1118	1011	1063	39	159	132	113	8

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
2111	1466	1733	607	1104	571

Last Played Games

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 - 2018-10-04	11	Oceanics	4	Chiefs	5	L	X	X	BoxScore
4 - 2018-10-06	18	Oceanics	2	Stars	4	L			BoxScore
7 - 2018-10-09	40	Monarchs	3	Oceanics	7	W			BoxScore
9 - 2018-10-11	55	Oceanics	6	Chill	4	W			BoxScore
12 - 2018-10-14	73	Caroline	2	Oceanics	7	W			BoxScore
14 - 2018-10-16	84	Oil Kings	4	Oceanics	5	W			BoxScore
16 - 2018-10-18	94	Comets	2	Oceanics	4	W			BoxScore
18 - 2018-10-20	104	Jayhawks	1	Oceanics	4	W			BoxScore
20 - 2018-10-22	120	Chiefs	1	Oceanics	6	W			BoxScore
22 - 2018-10-24	130	Marlies	5	Oceanics	2	L			BoxScore
24 - 2018-10-26	145	Oceanics	4	Cougars	7	L			BoxScore
25 - 2018-10-27	153	Oceanics	4	Marlies	5	L	X		BoxScore
30 - 2018-11-01	179	Oceanics	7	Cabaret Lady Mary Ann	3	W			BoxScore
31 - 2018-11-02	192	Cabaret Lady Mary Ann	0	Oceanics	7	W			BoxScore
38 - 2018-11-09	240	Monsters	6	Oceanics	5	L	X	X	BoxScore
40 - 2018-11-11	256	Spiders	3	Oceanics	4	W			BoxScore
43 - 2018-11-14	274	Bears	4	Oceanics	5	W			BoxScore
45 - 2018-11-16	287	Crunch	4	Oceanics	7	W			BoxScore
48 - 2018-11-19	316	Oceanics	2	Comets	3	L			BoxScore
50 - 2018-11-21	330	Oceanics	5	Heat	4	W	X	X	BoxScore
52 - 2018-11-23	334	Oceanics	7	Minnesota	4	W			BoxScore
53 - 2018-11-24	348	Oceanics	7	Chiefs	2	W			BoxScore
56 - 2018-11-27	373	Manchots	2	Oceanics	4	W			BoxScore
58 - 2018-11-29	387	Baby Hawks	4	Oceanics	8	W			BoxScore
60 - 2018-12-01	401	Oceanics	0	Spiders	4	L			BoxScore
61 - 2018-12-02	408	Oceanics	5	Wolf Pack	4	W			BoxScore
63 - 2018-12-04	418	Oceanics	5	Sound Tigers	2	W			BoxScore
66 - 2018-12-07	441	Chiefs	5	Oceanics	3	L			BoxScore
68 - 2018-12-09	455	Phantoms	1	Oceanics	5	W			BoxScore
70 - 2018-12-11	473	Baby Hawks	1	Oceanics	5	W			BoxScore
72 - 2018-12-13	485	Oil Kings	1	Oceanics	4	W			BoxScore
73 - 2018-12-14	493	Oceanics	4	Baby Hawks	2	W			BoxScore
75 - 2018-12-16	510	Thunder	4	Oceanics	5	W			BoxScore
77 - 2018-12-18	527	Oceanics	8	Monarchs	3	W			BoxScore
79 - 2018-12-20	541	Oceanics	4	Sharks	2	W			BoxScore
81 - 2018-12-22	557	Oceanics	4	Comets	3	W			BoxScore
86 - 2018-12-27	574	Heat	4	Oceanics	7	W			BoxScore
88 - 2018-12-29	584	Minnesota	4	Oceanics	3	L			BoxScore
90 - 2018-12-31	610	Oceanics	7	Oil Kings	2	W			BoxScore
94 - 2019-01-04	629	Oceanics	3	Manchots	1	W			BoxScore
96 - 2019-01-06	648	Stars	0	Oceanics	5	W			BoxScore
98 - 2019-01-08	665	Monsters	3	Oceanics	5	W			BoxScore
100 - 2019-01-10	678	Oceanics	3	Minnesota	2	W			BoxScore
101 - 2019-01-11	684	Cougars	5	Oceanics	4	L	X	X	BoxScore
103 - 2019-01-13	700	Admirals	1	Oceanics	3	W			BoxScore
105 - 2019-01-15	718	Las Vegas	2	Oceanics	4	W			BoxScore
107 - 2019-01-17	730	Oceanics	5	Chill	4	W	X	X	BoxScore
109 - 2019-01-19	743	Oceanics	3	Stars	2	W			BoxScore
118 - 2019-01-28	771	Oceanics	6	Phantoms	5	W			BoxScore
119 - 2019-01-29	773	Oceanics	6	Bruins	1	W			BoxScore
121 - 2019-01-31	780	Monsters	3	Oceanics	7	W			BoxScore
123 - 2019-02-02	791	Admirals	4	Oceanics	7	W			BoxScore
126 - 2019-02-05	818	Sharks	6	Oceanics	4	L			BoxScore
128 - 2019-02-07	828	Oceanics	4	Rocket	1	W			BoxScore
130 - 2019-02-09	844	Oceanics	3	Senators	2	W			BoxScore
131 - 2019-02-10	855	Oceanics	6	Crunch	1	W			BoxScore
133 - 2019-02-12	872	Wolf Pack	2	Oceanics	7	W			BoxScore
135 - 2019-02-14	882	Monsters	4	Oceanics	3	L			BoxScore
137 - 2019-02-16	896	Senators	1	Oceanics	7	W			BoxScore
141 - 2019-02-20	926	Oceanics	6	Monsters	4	W			BoxScore
143 - 2019-02-22	944	Oceanics	7	Las Vegas	2	W			BoxScore
145 - 2019-02-24	961	Oceanics	5	Jayhawks	3	W			BoxScore
147 - 2019-02-26	976	Minnesota	3	Oceanics	10	W			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
150 - 2019-03-01	996	Chill	4	Oceanics	5	W			BoxScore
152 - 2019-03-03	1014	Oceanics	5	Monsters	1	W			BoxScore
154 - 2019-03-05	1023	Oceanics	5	Thunder	3	W			BoxScore
157 - 2019-03-08	1046	Oceanics	7	Caroline	2	W			BoxScore
159 - 2019-03-10	1061	Oceanics	4	Bears	2	W			BoxScore
161 - 2019-03-12	1077	Sharks	5	Oceanics	6	W			BoxScore
163 - 2019-03-14	1089	Bruins	2	Oceanics	4	W			BoxScore
165 - 2019-03-16	1102	Heat	4	Oceanics	5	W	X	X	BoxScore
167 - 2019-03-18	1120	Oceanics	5	Monarchs	4	W			BoxScore
169 - 2019-03-20	1135	Oceanics	4	Admirals	2	W			BoxScore
170 - 2019-03-21	1146	Oceanics	2	Las Vegas	6	L			BoxScore
172 - 2019-03-23	1154	Chill	3	Oceanics	5	W			BoxScore
174 - 2019-03-25	1175	Stars	2	Oceanics	7	W			BoxScore
177 - 2019-03-28	1193	Sound Tigers	5	Oceanics	6	W			BoxScore
179 - 2019-03-30	1204	Rocket	3	Oceanics	4	W			BoxScore
181 - 2019-04-01	1226	Oceanics	2	Baby Hawks	4	L			BoxScore
182 - 2019-04-02	1234	Oceanics	6	Minnesota	5	W			BoxScore
184 - 2019-04-04	1251	Oceanics	4	Monsters	8	L			BoxScore
186 - 2019-04-06	1268	Oceanics	6	Jayhawks	1	W			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	40	20
Attendance	60,512	30,643
Attendance PCT	73.80%	74.74%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
0	2223 - 74.11%	73,984$	3,033,340$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
3,445,149$	3,437,400$	3,424,067$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
17,312$	3,252,604$	44	1

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	18,382$	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	63	12	0	0	1	3	3	407	252	155	41	33	5	0	0	0	1	2	215	123	92	41	30	7	0	0	1	2	1	192	129	63	136	407	703	1110	1	2	159	132	113	8	3205	1118	1011	1063	39	2011	520	762	1445	349	105	30.09%	300	63	79.00%	5	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571
Total Regular Season	82	63	12	0	0	1	3	3	407	252	155	41	33	5	0	0	0	1	2	215	123	92	41	30	7	0	0	1	2	1	192	129	63	136	407	703	1110	1	2	159	132	113	8	3205	1118	1011	1063	39	2011	520	762	1445	349	105	30.09%	300	63	79.00%	5	1777	2864	62.05%	1335	2152	62.04%	951	1508	63.06%	2111	1466	1733	607	1104	571