Great Plains Hockey League

Kings
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

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	Greg McKegg	X				100.00	69	42	90	71	70	55	79	60	79	58	58	79	25	55	56	65	50	61	0
2	Warren Foegele (R)		X			99.00	75	72	82	67	72	79	84	61	50	53	65	64	62	44	44	66	50	60	0
3	Gemel Smith	X	X			100.00	69	54	88	72	71	54	74	63	48	60	64	63	25	51	51	65	50	60	0
4	Teddy Blueger (R)	X	X	X		100.00	72	68	82	68	68	73	76	62	78	58	61	63	58	44	44	64	50	60	0
5	Garrett Wilson		X			100.00	64	73	44	65	73	70	73	61	50	58	60	58	57	44	44	60	50	58	0
6	Chase De Leo	X				100.00	69	62	86	62	62	78	83	58	73	56	56	60	53	44	44	61	50	58	0
7	Roope Hintz (R)		X			100.00	78	74	87	62	74	70	74	58	73	50	61	65	58	44	44	63	50	58	0
8	Scott Kosmachuk			X		100.00	68	67	70	60	67	77	81	61	50	59	58	60	55	44	44	61	50	58	0
9	Sergey Tolchinsky		X	X		100.00	66	58	84	63	58	66	68	61	50	62	56	59	53	44	44	61	50	57	0
10	Henrik Samuelsson	X		X		100.00	79	79	80	64	79	50	49	58	50	46	65	65	62	44	44	62	50	56	0
11	Mario Lucia (R)		X	X		100.00	81	76	92	61	76	65	69	53	50	48	54	65	51	44	44	60	50	56	0
12	Colby Robak				X	100.00	77	73	87	66	73	67	73	48	25	39	41	63	39	48	48	53	50	58	0
13	Ahti Oksanen		X		X	100.00	82	77	95	62	77	49	50	49	45	46	46	64	44	44	44	54	50	56	0
14	Emil Johansson (R)				X	100.00	74	69	87	68	69	65	70	46	25	37	40	60	38	44	44	52	50	56	0
15	Stepan Falkovsky (R)				X	100.00	85	87	81	66	87	47	48	45	25	34	41	65	39	44	44	52	50	56	0
16	Luc Snuggerud (R)				X	100.00	74	71	82	68	71	50	50	53	25	46	46	61	44	44	44	55	50	55	0
Scratches
1	Joseph Cramarossa	X				100.00	71	70	73	65	70	53	54	53	66	49	53	60	50	44	44	57	50	54	0
2	Rihards Bukarts (R)	X	X	X		100.00	74	67	90	58	67	57	60	50	63	50	44	61	42	44	44	53	50	52	0
3	Darren Kramer		X			100.00	69	77	50	62	77	53	55	47	50	38	50	57	48	44	44	51	50	51	0
4	Tyler Biggs			X		100.00	59	75	61	54	56	57	59	51	59	50	48	52	54	53	54	1	50	51	0
5	Brady Vail (R)	X				100.00	71	66	83	64	66	58	62	47	59	42	46	58	44	44	44	52	50	51	0
6	Vincent Dunn (R)	X	X			100.00	66	70	55	57	70	55	57	50	63	52	44	57	42	44	44	51	50	51	0
7	Dante Salituro (R)	X				100.00	70	61	90	55	61	51	52	50	63	43	53	59	50	44	44	55	50	51	0
8	Raman Hrabarenka				X	100.00	59	79	66	72	62	64	67	55	25	48	52	58	50	46	46	1	50	56	0
9	Alex Gudbranson				X	100.00	53	79	66	58	61	54	56	52	50	48	47	63	55	57	58	1	50	54	0
10	Dylan Labbe				X	100.00	74	72	80	66	72	53	56	45	25	46	39	59	37	44	44	50	50	54	0
11	Linus Arnesson (R)				X	100.00	75	69	89	67	69	52	55	43	25	41	39	59	37	44	44	50	50	54	0
12	Damir Sharipzianov (R)				X	100.00	66	69	60	65	69	59	63	44	25	44	39	55	37	44	44	48	50	53	0
13	Brennan Serville (R)				X	100.00	56	70	62	65	58	55	58	52	25	46	46	53	50	44	44	1	50	52	0

	TEAM AVERAGE					99.97	71	70	77	64	69	60	64	53	48	49	51	61	47	46	46	49	50	55

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	Michael Houser	100.00	56	69	65	62	62	76	64	65	61	60	45	55	55	1	50	62	0
2	Ken Appleby	100.00	52	59	74	84	49	55	53	58	54	54	30	44	44	54	50	56	0
Scratches

	TEAM AVERAGE	100.00	54	64	70	73	56	66	59	62	58	57	38	50	50	28	50	59

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	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Warren Foegele	Reign (LA )	LW	61	79	72	151	25	126	70	74	73	397	119	244	19.90%	37	1283	21.04	18	17	35	41	112	1	0	1	3	31	5	1	51.52%	66	96	37	0	9	2.35	2	2	4	3	7	9	6	7
2	Vladislav Kamenev	Kings	C/LW	39	44	82	126	29	107	65	68	65	215	71	130	20.47%	27	850	21.80	8	20	28	17	72	0	0	0	3	52	6	3	62.92%	917	46	20	0	5	2.96	0	2	3	3	7	9	5	5
3	Greg McKegg	Reign (LA )	C	61	41	64	105	6	10	10	49	97	191	71	128	21.47%	40	989	16.22	7	20	27	10	60	1	3	4	8	110	1	1	60.82%	1271	45	39	0	3	2.12	0	2	2	0	0	4	4	4
4	Gemel Smith	Reign (LA )	C/LW	61	37	65	102	3	30	30	64	56	217	74	141	17.05%	19	892	14.63	14	14	28	25	60	0	1	1	2	26	3	0	56.34%	71	85	23	0	2	2.29	0	1	2	3	1	3	3	3
5	Scott Kosmachuk	Reign (LA )	RW	61	31	26	57	4	107	45	66	38	110	34	52	28.18%	22	856	14.05	8	5	13	11	57	0	0	0	0	0	2	1	48.05%	77	21	16	1	0	1.33	0	0	0	3	6	0	0	1
6	Chase De Leo	Reign (LA )	C	61	24	29	53	8	7	5	39	47	174	53	150	13.79%	21	789	12.94	0	0	0	0	2	0	0	0	1	21	3	2	65.40%	263	40	18	0	1	1.34	0	0	0	0	1	1	0	4
7	Colby Robak	Reign (LA )	D	61	2	42	44	13	116	80	51	53	129	51	62	1.55%	104	1281	21.00	1	3	4	3	30	0	0	0	2	23	0	0	0.00%	0	15	60	0	0	0.69	0	0	5	4	7	0	1	2
8	Tim Heed	Kings	D	13	5	30	35	29	7	5	21	25	68	22	17	7.35%	26	393	30.27	0	5	5	4	26	0	0	0	1	33	2	0	0.00%	0	15	13	0	0	1.78	0	0	0	1	0	2	3	0
9	Garrett Wilson	Reign (LA )	LW	61	12	21	33	5	32	20	55	28	150	51	75	8.00%	8	592	9.72	0	0	0	0	1	1	0	1	4	59	1	1	50.00%	48	37	8	0	0	1.11	0	0	3	0	1	1	0	6
10	Teddy Blueger	Reign (LA )	C/LW/RW	16	15	13	28	17	58	30	26	17	59	6	43	25.42%	13	298	18.68	7	2	9	7	31	0	0	0	0	0	1	0	52.00%	25	11	5	0	1	1.87	0	0	2	0	4	1	3	0
11	Henrik Samuelsson	Reign (LA )	C/RW	61	10	16	26	2	22	10	33	26	115	36	71	8.70%	9	472	7.74	0	0	0	0	0	0	0	0	0	0	0	1	49.44%	180	31	15	0	0	1.10	0	0	0	0	2	1	1	2
12	Lucas Johansen	Kings	D	23	3	19	22	15	39	35	41	31	48	12	22	6.25%	25	617	26.84	1	1	2	4	46	0	0	0	0	44	0	0	0.00%	0	10	26	0	0	0.71	0	0	2	2	3	0	0	3
13	Roope Hintz	Reign (LA )	LW	12	4	16	20	18	51	15	24	6	16	11	16	25.00%	6	184	15.36	1	1	2	1	4	0	0	0	0	5	1	0	57.14%	28	6	3	0	0	2.17	0	0	2	1	0	2	2	0
14	Sergey Tolchinsky	Reign (LA )	LW/RW	16	3	10	13	9	2	0	19	12	32	12	22	9.38%	4	176	11.06	0	0	0	1	0	0	0	0	0	0	0	0	75.00%	4	2	2	0	0	1.47	0	0	0	0	0	0	0	1
15	Raman Hrabarenka	Reign (LA )	D	40	1	9	10	16	45	35	18	20	35	20	20	2.86%	14	500	12.52	0	0	0	2	10	0	0	0	0	0	0	0	0.00%	0	3	16	0	0	0.40	0	0	3	1	3	0	0	0
16	Stepan Falkovsky	Reign (LA )	D	13	1	3	4	5	21	15	35	17	18	5	5	5.56%	21	280	21.60	0	1	1	1	17	0	0	0	0	18	0	0	0.00%	0	2	3	0	0	0.28	0	0	0	2	1	0	0	0
17	Mario Lucia	Reign (LA )	LW/RW	10	0	0	0	1	0	0	7	6	6	2	2	0.00%	0	83	8.35	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0	0	0.00	0	0	0	0	0	0	0	0
Team Total or Average				670	312	517	829	205	780	470	690	617	1980	650	1200	15.76%	396	10543	15.74	65	89	154	127	537	3	4	7	24	431	25	10	60.27%	2950	465	305	1	21	1.57	2	7	28	23	43	33	28	38

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	PCT	GAA	MP	GA	SA	SAR	A	PS %	PSA	ST	BG
1	Ken Appleby	Reign (LA )	8	7	0	0.875	4.74	456	36	288	170	2	0.000	0	8	14
2	Michael Houser	Reign (LA )	6	5	1	0.876	4.25	367	26	209	109	0	1.000	3	6	0
Team Total or Average			14	12	1	0.875	4.52	824	62	497	279	2	1.000	3	14	14

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
Ahti Oksanen	Reign (LA )	LW/D	25	1993-03-10	No	207 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link
Alex Gudbranson	Reign (LA )	D	24	1994-09-02	No	205 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	625,000$	0$	0$	No
Brady Vail	Reign (LA )	C	24	1994-03-10	Yes	185 Lbs	5 ft10	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link
Brennan Serville	Reign (LA )	D	25	1993-06-02	Yes	183 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	700,000$	0$	0$	No	Link
Chase De Leo	Reign (LA )	C	23	1995-10-24	No	185 Lbs	5 ft9	No	No	No	1	RFA	Pro & Farm	650,000$	0$	0$	No	Link
Colby Robak	Reign (LA )	D	27	1991-04-24	No	194 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	700,000$	0$	0$	No	Link
Damir Sharipzianov	Reign (LA )	D	23	1996-02-21	Yes	187 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	641,667$	0$	0$	No	Link
Dante Salituro	Reign (LA )	C	22	1996-11-15	Yes	176 Lbs	5 ft8	No	No	No	1	RFA	Pro & Farm	725,000$	0$	0$	No	Link
Darren Kramer	Reign (LA )	LW	27	1991-11-19	No	210 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	650,000$	0$	0$	No	Link
Dylan Labbe	Reign (LA )	D	24	1995-01-08	No	194 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	600,000$	0$	0$	No	Link
Emil Johansson	Reign (LA )	D	22	1996-05-06	Yes	190 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	500,000$	0$	0$	No	Link
Garrett Wilson	Reign (LA )	LW	27	1991-03-16	No	199 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	600,000$	0$	0$	No	Link
Gemel Smith	Reign (LA )	C/LW	24	1994-04-16	No	190 Lbs	5 ft10	No	No	No	3	RFA	Pro & Farm	850,000$	0$	0$	No	Link
Greg McKegg	Reign (LA )	C	26	1992-06-17	No	191 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Henrik Samuelsson	Reign (LA )	C/RW	25	1994-02-07	No	219 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	700,000$	0$	0$	No	Link
Joseph Cramarossa	Reign (LA )	C	26	1992-10-26	No	192 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	700,000$	0$	0$	No	Link
Ken Appleby	Reign (LA )	G	23	1995-04-10	No	207 Lbs	6 ft4	No	No	No	4	RFA	Pro & Farm	850,000$	0$	0$	No	Link
Linus Arnesson	Reign (LA )	D	24	1994-09-21	Yes	188 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	817,500$	0$	0$	No	Link
Luc Snuggerud	Reign (LA )	D	23	1995-09-18	Yes	184 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link
Mario Lucia	Reign (LA )	LW/RW	25	1993-08-24	Yes	200 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	792,500$	0$	0$	No	Link
Michael Houser	Reign (LA )	G	26	1992-09-12	No	185 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	600,000$	0$	0$	No	Link
Raman Hrabarenka	Reign (LA )	D	26	1992-08-23	No	212 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Rihards Bukarts	Reign (LA )	C/LW/RW	23	1995-12-30	Yes	190 Lbs	5 ft9	No	No	No	2	RFA	Pro & Farm	850,000$	0$	0$	No	Link
Roope Hintz	Reign (LA )	LW	22	1996-11-17	Yes	205 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	800,000$	0$	0$	No	Link
Scott Kosmachuk	Reign (LA )	RW	25	1994-01-23	No	185 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	720,000$	0$	0$	No	Link
Sergey Tolchinsky	Reign (LA )	LW/RW	24	1995-02-03	No	170 Lbs	5 ft8	No	No	No	2	RFA	Pro & Farm	600,000$	0$	0$	No	Link
Stepan Falkovsky	Reign (LA )	D	22	1996-12-18	Yes	224 Lbs	6 ft7	No	No	No	3	RFA	Pro & Farm	500,000$	0$	0$	No	Link
Teddy Blueger	Reign (LA )	C/LW/RW	24	1994-08-14	Yes	185 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	800,000$	0$	0$	No	Link
Tyler Biggs	Reign (LA )	RW	25	1993-04-29	No	205 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	650,000$	0$	0$	No
Vincent Dunn	Reign (LA )	C/LW	23	1995-09-14	Yes	190 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	500,000$	0$	0$	No	Link
Warren Foegele	Reign (LA )	LW	22	1996-04-01	Yes	190 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	750,000$	0$	0$	No	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
31	24.23	194 Lbs	6 ft1	1.87	687,796$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Warren Foegele			40	1	2	2
2	Gemel Smith	Greg McKegg	Scott Kosmachuk	30	1	2	2
3		Chase De Leo		20	1	2	2
4	Garrett Wilson	Henrik Samuelsson		10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2	Colby Robak		30	1	2	2
3			20	1	2	2
4		Colby Robak	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Warren Foegele			60	1	2	2
2	Gemel Smith	Greg McKegg	Scott Kosmachuk	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Colby Robak		40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Greg McKegg	60	1	2	2
2	Warren Foegele	Gemel Smith	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Colby Robak		40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2	Greg McKegg	40	1	2	2	Colby Robak		40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Greg McKegg	60	1	2	2
2	Warren Foegele	Gemel Smith	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Colby Robak		40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Warren Foegele

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Warren Foegele

Extra Forwards
Normal	PowerPlay	Penalty Kill
, Chase De Leo, Garrett Wilson	, Chase De Leo	Garrett Wilson

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, Greg McKegg, Warren Foegele, Gemel Smith,

Goalie
#1 : , #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	Admirals	4	1	2	0	0	0	1	0	26	27	-1	1	0	1	0	0	0	0	0	5	7	-2	3	1	1	0	0	0	1	0	21	20	1	4	0.500	26	41	67	0	0	102	162	166	6	170	737	852	865	15	154	49	42	57	6	1	16.67%	11	6	45.45%	1	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
2	Barracuda	4	3	1	0	0	0	0	0	29	29	0	2	2	0	0	0	0	0	0	14	12	2	2	1	1	0	0	0	0	0	15	17	-2	6	0.750	29	54	83	0	0	102	162	166	6	129	737	852	865	15	190	73	62	49	8	4	50.00%	11	3	72.73%	0	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
3	Bears	1	0	1	0	0	0	0	0	7	9	-2	1	0	1	0	0	0	0	0	7	9	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	7	14	21	0	0	102	162	166	6	32	737	852	865	15	37	17	8	15	4	3	75.00%	4	3	25.00%	0	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
4	Bruins	1	0	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	4	6	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	7	11	0	0	102	162	166	6	49	737	852	865	15	37	9	4	17	1	0	0.00%	2	1	50.00%	0	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
5	Checkers	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	8	13	0	0	102	162	166	6	36	737	852	865	15	33	16	8	10	1	0	0.00%	4	1	75.00%	0	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
6	Comets	4	2	2	0	0	0	0	0	32	26	6	3	1	2	0	0	0	0	0	22	22	0	1	1	0	0	0	0	0	0	10	4	6	4	0.500	32	52	84	0	0	102	162	166	6	164	737	852	865	15	127	33	144	93	18	11	61.11%	12	8	33.33%	0	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
7	Condors	3	2	0	0	1	0	0	0	28	17	11	1	0	0	0	1	0	0	0	8	7	1	2	2	0	0	0	0	0	0	20	10	10	6	1.000	28	50	78	0	0	102	162	166	6	128	737	852	865	15	94	36	48	33	9	6	66.67%	4	1	75.00%	1	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
8	Crunch	1	0	1	0	0	0	0	0	4	9	-5	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	4	9	-5	0	0.000	4	8	12	0	0	102	162	166	6	54	737	852	865	15	40	11	23	10	3	0	0.00%	4	3	25.00%	0	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
9	Devils	1	0	1	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	5	9	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	5	9	14	0	0	102	162	166	6	40	737	852	865	15	37	6	7	11	1	0	0.00%	1	1	0.00%	0	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
10	Falcons	5	3	2	0	0	0	0	0	33	32	1	2	1	1	0	0	0	0	0	12	15	-3	3	2	1	0	0	0	0	0	21	17	4	6	0.600	33	57	90	0	0	102	162	166	6	191	737	852	865	15	185	71	166	93	22	8	36.36%	15	6	60.00%	0	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
11	Griffins	2	1	1	0	0	0	0	0	15	13	2	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	15	13	2	2	0.500	15	24	39	0	0	102	162	166	6	78	737	852	865	15	79	22	40	46	4	2	50.00%	5	4	20.00%	0	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
12	Gulls	4	2	1	0	1	0	0	0	18	14	4	2	1	0	0	1	0	0	0	13	7	6	2	1	1	0	0	0	0	0	5	7	-2	6	0.750	18	35	53	0	0	102	162	166	6	160	737	852	865	15	113	35	42	80	8	5	62.50%	11	4	63.64%	0	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
13	Heat	4	3	1	0	0	0	0	0	30	30	0	2	2	0	0	0	0	0	0	14	11	3	2	1	1	0	0	0	0	0	16	19	-3	6	0.750	30	50	80	0	0	102	162	166	6	158	737	852	865	15	195	59	48	64	9	4	44.44%	14	7	50.00%	0	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
14	IceCaps	2	1	0	0	1	0	0	0	17	10	7	2	1	0	0	1	0	0	0	17	10	7	0	0	0	0	0	0	0	0	0	0	0	4	1.000	17	29	46	0	0	102	162	166	6	78	737	852	865	15	69	20	49	32	8	5	62.50%	7	5	28.57%	0	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
15	IceHogs	1	1	0	0	0	0	0	0	11	7	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	11	7	4	2	1.000	11	17	28	0	0	102	162	166	6	40	737	852	865	15	48	22	2	12	6	5	83.33%	1	1	0.00%	0	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
16	Marlies	1	0	1	0	0	0	0	0	8	9	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	8	9	-1	0	0.000	8	14	22	0	0	102	162	166	6	44	737	852	865	15	39	17	4	13	5	2	40.00%	2	2	0.00%	0	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
17	Monsters	2	1	1	0	0	0	0	0	14	17	-3	1	1	0	0	0	0	0	0	11	8	3	1	0	1	0	0	0	0	0	3	9	-6	2	0.500	14	20	34	0	0	102	162	166	6	85	737	852	865	15	80	31	14	29	6	4	66.67%	7	5	28.57%	0	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
18	Penguins	1	0	1	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	5	7	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	5	8	13	0	0	102	162	166	6	53	737	852	865	15	30	14	5	9	8	2	25.00%	0	0	0.00%	0	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
19	Phantoms	1	1	0	0	0	0	0	0	11	2	9	1	1	0	0	0	0	0	0	11	2	9	0	0	0	0	0	0	0	0	0	0	0	2	1.000	11	19	30	0	0	102	162	166	6	50	737	852	865	15	24	10	9	9	2	2	100.00%	2	0	100.00%	0	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
20	Pirates	1	1	0	0	0	0	0	0	6	4	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	4	2	2	1.000	6	10	16	0	0	102	162	166	6	31	737	852	865	15	40	10	8	7	0	0	0.00%	4	1	75.00%	2	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
21	Rampage	3	2	0	0	0	1	0	0	24	16	8	2	2	0	0	0	0	0	0	18	9	9	1	0	0	0	0	1	0	0	6	7	-1	5	0.833	24	47	71	0	0	102	162	166	6	129	737	852	865	15	134	50	17	35	6	5	83.33%	6	3	50.00%	1	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
22	Senators	1	0	1	0	0	0	0	0	3	7	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	7	-4	0	0.000	3	5	8	0	0	102	162	166	6	42	737	852	865	15	43	9	2	10	2	0	0.00%	1	1	0.00%	0	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
23	Sound Tigers	1	0	1	0	0	0	0	0	7	9	-2	1	0	1	0	0	0	0	0	7	9	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	7	13	20	0	0	102	162	166	6	38	737	852	865	15	44	16	6	15	2	0	0.00%	4	2	50.00%	0	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
24	Stars	5	3	1	0	0	0	1	0	37	31	6	2	1	0	0	0	0	1	0	15	11	4	3	2	1	0	0	0	0	0	22	20	2	8	0.800	37	65	102	0	0	102	162	166	6	179	737	852	865	15	181	51	82	127	9	3	33.33%	11	7	36.36%	0	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
	Total	61	32	23	0	3	1	2	0	435	386	49	31	17	10	0	3	0	1	0	227	190	37	30	15	13	0	0	1	1	0	208	196	12	75	0.615	435	753	1188	1	0	102	162	166	6	2461	737	852	865	15	2300	767	928	966	168	81	48.21%	157	86	45.22%	6	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
26	Wild	3	3	0	0	0	0	0	0	32	14	18	2	2	0	0	0	0	0	0	21	12	9	1	1	0	0	0	0	0	0	11	2	9	6	1.000	32	56	88	0	0	102	162	166	6	153	737	852	865	15	76	27	72	49	11	6	54.55%	6	4	33.33%	0	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
27	Wolves	3	0	3	0	0	0	0	0	19	26	-7	1	0	1	0	0	0	0	0	8	11	-3	2	0	2	0	0	0	0	0	11	15	-4	0	0.000	19	32	51	1	0	102	162	166	6	113	737	852	865	15	138	42	12	33	7	3	42.86%	6	5	16.67%	0	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
28	Wolves	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	102	162	166	6	37	737	852	865	15	33	11	4	8	2	0	0.00%	2	2	0.00%	1	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
	_Since Last GM Reset	61	32	23	0	3	1	2	0	435	386	49	31	17	10	0	3	0	1	0	227	190	37	30	15	13	0	0	1	1	0	208	196	12	75	0.615	435	753	1188	1	0	102	162	166	6	2461	737	852	865	15	2300	767	928	966	168	81	48.21%	157	86	45.22%	6	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
	_Vs Conference	48	28	15	0	2	1	2	0	353	302	51	22	14	5	0	2	0	1	0	166	135	31	26	14	10	0	0	1	1	0	187	167	20	65	0.677	353	609	962	1	0	102	162	166	6	1914	737	852	865	15	1827	612	795	808	131	67	51.15%	122	66	45.90%	4	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
61	75	W2	435	753	1188	2461	2300	767	928	966	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
61	32	23	3	1	2	0	435	386

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
31	17	10	3	0	1	0	227	190

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
30	15	13	0	1	1	0	208	196

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
168	81	48.21%	157	86	45.22%	6

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
737	852	865	15	102	162	166	6

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
594	1041	57.06%	567	1001	56.64%	804	1473	54.58%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1314	817	1311	538	1050	498

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 - 2018-10-02	1	Reign	8	Stars	3	W			BoxScore
3 - 2018-10-04	19	IceCaps	5	Reign	6	W	X		BoxScore
6 - 2018-10-07	37	Reign	4	Admirals	3	W	X	X	BoxScore
7 - 2018-10-08	50	Reign	6	Falcons	4	W			BoxScore
8 - 2018-10-09	61	Comets	3	Reign	9	W			BoxScore
10 - 2018-10-11	76	Reign	5	Barracuda	8	L			BoxScore
12 - 2018-10-13	91	Stars	5	Reign	8	W			BoxScore
14 - 2018-10-15	105	Reign	9	Stars	5	W			BoxScore
15 - 2018-10-16	108	Reign	3	Gulls	1	W			BoxScore
17 - 2018-10-18	124	Heat	7	Reign	9	W			BoxScore
21 - 2018-10-22	152	Comets	8	Reign	6	L			BoxScore
23 - 2018-10-24	171	Reign	7	Griffins	4	W			BoxScore
25 - 2018-10-26	182	Reign	12	Falcons	5	W			BoxScore
26 - 2018-10-27	187	Heat	4	Reign	5	W			BoxScore
29 - 2018-10-30	215	Wild	5	Reign	12	W			BoxScore
33 - 2018-11-03	238	Comets	11	Reign	7	L			BoxScore
35 - 2018-11-05	252	Reign	11	Wild	2	W			BoxScore
37 - 2018-11-07	268	Reign	6	Rampage	7	L	X		BoxScore
38 - 2018-11-08	276	Wolves	11	Reign	8	L			BoxScore
41 - 2018-11-11	297	Reign	4	Crunch	9	L			BoxScore
43 - 2018-11-13	305	Devils	9	Reign	5	L			BoxScore
47 - 2018-11-17	330	Gulls	1	Reign	6	W			BoxScore
50 - 2018-11-20	352	Penguins	7	Reign	5	L			BoxScore
52 - 2018-11-22	363	Reign	5	Wolves	7	L			BoxScore
54 - 2018-11-24	382	Phantoms	2	Reign	11	W			BoxScore
58 - 2018-11-28	405	Barracuda	6	Reign	7	W			BoxScore
63 - 2018-12-03	436	Stars	6	Reign	7	W	X	X	BoxScore
65 - 2018-12-05	461	Reign	8	Marlies	9	L			BoxScore
66 - 2018-12-06	468	Checkers	3	Reign	5	W			BoxScore
70 - 2018-12-10	495	Reign	8	Griffins	9	L			BoxScore
71 - 2018-12-11	500	Falcons	5	Reign	6	W			BoxScore
74 - 2018-12-14	526	Reign	10	Comets	4	W			BoxScore
75 - 2018-12-15	531	IceCaps	5	Reign	11	W			BoxScore
80 - 2018-12-20	561	Bruins	6	Reign	4	L			BoxScore
85 - 2018-12-25	590	Condors	7	Reign	8	W	X		BoxScore
87 - 2018-12-27	605	Reign	10	Admirals	6	W			BoxScore
88 - 2018-12-28	614	Reign	3	Monsters	9	L			BoxScore
89 - 2018-12-29	623	Admirals	7	Reign	5	L			BoxScore
93 - 2019-01-02	653	Monsters	8	Reign	11	W			BoxScore
96 - 2019-01-05	674	Reign	10	Barracuda	9	W			BoxScore
98 - 2019-01-07	683	Gulls	6	Reign	7	W	X		BoxScore
100 - 2019-01-09	693	Reign	6	Pirates	4	W			BoxScore
102 - 2019-01-11	714	Sound Tigers	9	Reign	7	L			BoxScore
104 - 2019-01-13	720	Reign	12	Condors	6	W			BoxScore
106 - 2019-01-15	734	Reign	3	Falcons	8	L			BoxScore
108 - 2019-01-17	747	Barracuda	6	Reign	7	W			BoxScore
110 - 2019-01-19	763	Reign	3	Senators	7	L			BoxScore
112 - 2019-01-21	777	Wild	7	Reign	9	W			BoxScore
114 - 2019-01-23	791	Reign	6	Wolves	8	L			BoxScore
115 - 2019-01-24	800	Reign	5	Stars	12	L			BoxScore
117 - 2019-01-26	810	Reign	2	Gulls	6	L			BoxScore
118 - 2019-01-27	819	Rampage	3	Reign	10	W			BoxScore
121 - 2019-01-30	841	Reign	7	Heat	11	L			BoxScore
122 - 2019-01-31	849	Rampage	6	Reign	8	W			BoxScore
124 - 2019-02-02	864	Reign	7	Admirals	11	L			BoxScore
126 - 2019-02-04	874	Reign	11	IceHogs	7	W			BoxScore
127 - 2019-02-05	886	Falcons	10	Reign	6	L			BoxScore
130 - 2019-02-08	902	Reign	8	Condors	4	W			BoxScore
131 - 2019-02-09	915	Bears	9	Reign	7	L			BoxScore
134 - 2019-02-12	932	Reign	9	Heat	8	W			BoxScore
135 - 2019-02-13	943	Wolves	3	Reign	5	W			BoxScore
138 - 2019-02-16	965	Reign	-	Gulls	-
140 - 2019-02-18	975	Americans	-	Reign	-
143 - 2019-02-21	1000	IceHogs	-	Reign	-
Trade Deadline --- Trades can’t be done after this day is simulated!
145 - 2019-02-23	1017	Reign	-	Monsters	-
148 - 2019-02-26	1034	Moose	-	Reign	-
150 - 2019-02-28	1053	Reign	-	Falcons	-
151 - 2019-03-01	1063	Griffins	-	Reign	-
154 - 2019-03-04	1083	Reign	-	Wolves	-
156 - 2019-03-06	1093	Reign	-	IceHogs	-
157 - 2019-03-07	1101	Heat	-	Reign	-
161 - 2019-03-11	1123	Wolf Pack	-	Reign	-
163 - 2019-03-13	1140	Reign	-	Stars	-
164 - 2019-03-14	1147	Reign	-	Wolves	-
168 - 2019-03-18	1164	Americans	-	Reign	-
169 - 2019-03-19	1175	Reign	-	Barracuda	-

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
7	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,760,170$	2,132,167$	1,740,967$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	1,756,220$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	36	12,469$	448,884$

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	61	32	23	0	3	1	2	0	435	386	49	31	17	10	0	3	0	1	0	227	190	37	30	15	13	0	0	1	1	0	208	196	12	75	435	753	1188	1	0	102	162	166	6	2461	737	852	865	15	2300	767	928	966	168	81	48.21%	157	86	45.22%	6	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498
Total Regular Season	61	32	23	0	3	1	2	0	435	386	49	31	17	10	0	3	0	1	0	227	190	37	30	15	13	0	0	1	1	0	208	196	12	75	435	753	1188	1	0	102	162	166	6	2461	737	852	865	15	2300	767	928	966	168	81	48.21%	157	86	45.22%	6	594	1041	57.06%	567	1001	56.64%	804	1473	54.58%	1314	817	1311	538	1050	498