Ligue de hockey Simulée Ste-Flanelle

Minnesota
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	Chris Terry		X	X		100.00	49	35	87	74	65	52	38	50	57	43	57	60	59	43	40	0	50	54	0
2	J.T. Brown	X	X	X		100.00	63	61	79	70	49	57	56	48	41	46	50	59	48	49	46	0	50	54	0
3	Evgeny Svechnikov (R)		X	X		100.00	55	35	82	62	74	55	36	53	35	48	58	63	56	37	34	0	50	54	0
4	Jonny Brodzinski (R)	X		X		100.00	54	35	89	63	75	55	40	49	50	43	54	64	45	37	34	0	50	53	0
5	Blake Pietila		X	X		100.00	48	35	88	64	68	60	40	44	55	44	44	60	48	39	36	0	50	51	0
6	Craig Cunningham		X	X		100.00	49	35	89	71	56	47	33	41	52	40	42	68	46	41	36	0	50	50	0
7	Jason Akeson			X		100.00	41	35	78	71	60	43	30	32	49	35	31	60	42	40	37	0	50	46	0
8	Logan Brown (R)	X				100.00	46	35	95	60	78	49	35	37	43	38	35	50	48	35	32	0	50	46	0
9	Chase De Leo	X				100.00	42	35	93	77	56	43	31	32	45	32	32	57	46	35	32	0	50	45	0
10	Joseph Anderson (R)			X		100.00	43	43	43	43	63	43	43	43	43	43	43	43	43	32	30	0	50	44	0
11	Alexander Guptill (R)		X			100.00	39	43	43	43	54	37	37	39	43	39	39	43	41	32	30	0	50	41	0
12	Oliver Kylington				X	100.00	43	35	93	68	57	47	31	29	35	28	30	64	46	35	32	0	50	49	0
13	Bobby Nardella (R)				X	100.00	45	45	45	45	53	45	45	45	45	45	45	45	45	32	30	0	50	45	0
14	Adam Fox (R)				X	100.00	43	43	43	43	57	43	43	43	43	43	43	43	43	32	30	0	50	44	0
15	Miles Gendron (R)				X	100.00	39	43	43	43	56	37	37	39	43	39	39	43	41	32	30	0	50	42	0
Scratches
1	Chris Thorburn		X	X		100.00	73	66	67	60	84	50	51	45	58	44	46	58	48	66	57	0	50	54	0
2	Travis Ewanyk (R)		X			100.00	39	43	43	43	54	37	37	39	43	39	39	43	41	32	30	0	50	41	0
3	James Wright	X	X			100.00	41	65	52	42	70	29	45	31	35	31	31	42	45	44	38	0	50	40	0
4	David Pope (R)		X			100.00	36	40	40	40	61	35	35	36	40	36	36	40	38	32	30	0	50	40	0
5	Martin Reway (R)	X	X			100.00	36	40	40	40	42	35	35	36	40	36	36	40	38	32	30	0	50	39	0
6	Mathias From (R)		X	X		100.00	37	37	37	37	46	37	37	37	37	37	37	37	37	32	30	0	50	39	0
7	Julius Vahatalo (R)		X			100.00	33	37	37	37	67	33	33	33	37	33	33	37	35	32	30	0	50	38	0
8	Saku Maenalanen (R)		X	X		100.00	33	37	37	37	55	33	33	33	37	33	33	37	35	32	30	0	50	37	0
9	Anthony Louis (R)	X				100.00	33	37	37	37	35	33	33	33	37	33	33	37	35	32	30	0	50	36	0
10	Kristopher Foucault		X			100.00	30	90	30	33	70	29	35	31	35	31	31	33	45	35	32	0	50	36	0
11	Filip Berglund (R)				X	100.00	40	40	40	40	69	40	40	40	40	40	40	40	40	32	30	0	50	42	0

	TEAM AVERAGE					100.00	43	43	60	52	61	42	38	39	43	38	40	49	44	37	34	0	50	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	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Kevin Poulin	100.00	42	45	86	74	42	40	41	42	39	56	55	44	41	0	50	48	0
2	Timo Pielmeier	100.00	34	38	36	62	34	33	33	34	33	33	33	35	32	0	50	38	0
Scratches

	TEAM AVERAGE	100.00	38	42	61	68	38	37	37	38	36	45	44	40	37	0	50	43

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	Chris Terry	Minnesota (Min)	LW/RW	82	39	70	109	25	21	5	75	126	320	106	263	12.19%	13	1475	18.00	13	21	34	77	267	1	1	2	3	73	5	0	56.84%	95	0	1	1.48	3	7	0	0	1	8	4	8
2	J.T. Brown	Minnesota (Min)	C/LW/RW	82	43	57	100	0	82	20	183	206	314	102	213	13.69%	31	1751	21.36	13	19	32	83	313	2	1	3	9	203	4	1	43.31%	2228	0	0	1.14	3	12	0	1	3	10	6	5
3	Jonny Brodzinski	Minnesota (Min)	C/RW	82	36	64	100	22	34	10	108	163	263	68	192	13.69%	27	1458	17.79	12	18	30	76	270	0	0	0	2	46	2	6	53.98%	1634	0	1	1.37	2	5	0	0	2	7	7	5
4	Evgeny Svechnikov	Minnesota (Min)	LW/RW	82	45	50	95	1	16	0	97	141	356	113	247	12.64%	29	1595	19.46	15	17	32	89	311	1	1	2	3	77	3	3	41.44%	181	1	0	1.19	3	11	0	0	0	3	5	6
5	Blake Pietila	Minnesota (Min)	LW/RW	82	40	38	78	22	16	0	71	98	220	61	148	18.18%	15	1385	16.90	7	12	19	60	272	0	0	0	0	2	7	1	60.78%	102	0	1	1.13	2	2	0	0	0	6	5	4
6	Will Butcher	Minnesota	D	63	13	53	66	-17	16	0	33	81	105	38	74	12.38%	74	1386	22.01	6	27	33	62	209	0	1	1	0	148	2	0	0.00%	0	0	0	0.95	0	0	0	0	0	0	3	3
7	Travis Dermott	Minnesota	D	63	20	41	61	-15	50	0	114	79	115	26	61	17.39%	90	1371	21.77	14	15	29	76	207	0	0	0	0	136	1	0	0.00%	0	0	0	0.89	1	1	0	0	0	4	1	0
8	Oliver Kylington	Minnesota (Min)	D	82	9	39	48	0	10	0	25	66	83	22	54	10.84%	113	1546	18.86	3	13	16	36	206	0	1	1	1	141	1	0	0.00%	0	0	0	0.62	0	0	0	0	0	1	2	1
9	Craig Cunningham	Minnesota (Min)	LW/RW	68	18	21	39	-6	20	0	40	97	128	30	96	14.06%	20	673	9.91	3	4	7	14	57	0	0	0	0	35	4	1	51.72%	87	0	0	1.16	0	1	0	0	0	2	2	5
10	Chase De Leo	Minnesota (Min)	C	82	8	22	30	-19	26	0	26	93	61	11	36	13.11%	81	1256	15.32	0	0	0	0	3	0	0	0	0	14	0	1	44.56%	285	0	0	0.48	0	0	0	0	0	0	1	0
11	Jason Akeson	Minnesota (Min)	RW	82	9	12	21	-36	6	0	34	144	142	35	97	6.34%	21	1133	13.82	1	1	2	9	47	0	0	0	0	23	1	0	50.43%	234	0	0	0.37	0	0	0	0	0	1	1	2
12	Joseph Anderson	Minnesota (Min)	RW	82	8	13	21	-19	31	15	73	25	49	12	38	16.33%	5	616	7.52	0	0	0	0	10	0	0	0	0	0	2	0	58.06%	31	0	0	0.68	0	0	0	1	2	0	2	1
13	Logan Brown	Minnesota (Min)	C	82	7	12	19	-30	10	0	25	130	103	20	93	6.80%	26	1204	14.69	1	1	2	14	54	0	0	0	1	137	0	0	50.05%	1103	0	0	0.32	0	3	0	0	0	0	2	1
14	Chris Thorburn	Minnesota (Min)	LW/RW	18	5	10	15	5	51	5	63	13	28	11	26	17.86%	4	359	19.95	2	4	6	9	68	0	0	0	1	40	2	0	64.71%	17	0	0	0.84	1	3	1	0	0	1	1	0
15	Adam Fox	Minnesota (Min)	D	82	2	12	14	-4	82	0	181	17	17	8	10	11.76%	51	1513	18.45	1	3	4	7	194	0	0	0	2	117	1	0	25.00%	4	0	0	0.19	0	0	0	0	0	0	0	0
16	Miles Gendron	Minnesota (Min)	D	82	2	9	11	-17	87	5	148	12	17	3	7	11.76%	26	1196	14.59	0	2	2	5	68	0	0	0	1	67	1	0	0.00%	1	0	0	0.18	0	0	0	0	1	0	0	0
17	Alexander Guptill	Minnesota (Min)	LW	81	6	4	10	-30	54	10	94	22	56	21	35	10.71%	8	870	10.74	0	0	0	0	1	0	0	0	0	1	0	0	44.00%	50	0	0	0.23	0	0	0	1	1	0	0	0
18	Travis Ewanyk	Minnesota (Min)	LW	14	0	2	2	-12	8	0	13	8	6	3	6	0.00%	3	118	8.45	0	0	0	0	1	0	0	0	0	0	0	0	50.00%	6	0	0	0.34	0	0	0	0	0	0	0	0
19	Bobby Nardella	Minnesota (Min)	D	1	0	0	0	-1	0	0	0	0	0	0	0	0.00%	0	19	19.78	0	0	0	0	3	0	0	0	0	2	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0	0
20	James Wright	Minnesota (Min)	C/LW	13	0	0	0	-6	0	0	4	4	1	0	1	0.00%	0	110	8.51	0	0	0	1	10	0	0	0	0	23	0	0	38.78%	49	0	0	0.00	0	0	0	0	0	0	0	0
21	Filip Berglund	Minnesota (Min)	D	1	0	0	0	0	0	0	2	0	0	0	0	0.00%	1	15	15.73	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0	0
Team Total or Average				1306	310	529	839	-137	620	70	1409	1525	2384	690	1697	13.00%	638	21061	16.13	91	157	248	618	2582	4	5	9	23	1293	36	13	48.37%	6107	1	3	0.80	15	45	1	3	10	43	42	41

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	PS %	PSA	ST	BG	S1
1	Kevin Poulin	Minnesota (Min)	81	42	26	3	0.864	4.06	4256	8	2	288	2119	5	0.667	39	81	0	2
2	Scott Darling	Minnesota	1	0	1	0	0.900	2.03	59	0	0	2	20	0	0.000	0	1	0	0
3	Timo Pielmeier	Minnesota (Min)	20	0	6	4	0.889	3.81	662	2	0	42	379	1	0.692	13	0	81	0
Team Total or Average			102	42	33	7	0.868	4.00	4978	10	2	332	2518	6	0.673	52	82	81	2

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
Adam Fox	Minnesota (Min)	D	19	1998-02-17	Yes	185 Lbs	5 ft10	No	No	No	4	ELC	Pro & Farm	700,000$	70,000$	0$	No	Link
Alexander Guptill	Minnesota (Min)	LW	25	1992-05-05	Yes	175 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	840,000$	84,000$	0$	No	Link
Anthony Louis	Minnesota (Min)	C	22	1995-02-10	Yes	145 Lbs	5 ft6	No	No	No	2	RFA	Pro & Farm	525,000$	52,500$	0$	No	Link
Blake Pietila	Minnesota (Min)	LW/RW	24	1993-02-20	No	200 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	650,000$	65,000$	0$	No	Link
Bobby Nardella	Minnesota (Min)	D	21	1996-04-22	Yes	178 Lbs	5 ft9	No	No	No	4	ELC	Pro & Farm	825,000$	82,500$	0$	No	Link
Chase De Leo	Minnesota (Min)	C	21	1995-10-25	No	185 Lbs	5 ft9	No	No	No	2	ELC	Pro & Farm	685,000$	68,500$	0$	No	Link
Chris Terry	Minnesota (Min)	LW/RW	28	1989-04-07	No	195 Lbs	5 ft10	No	No	No	6	UFA	Pro & Farm	850,000$	85,000$	0$	No	Link
Chris Thorburn	Minnesota (Min)	LW/RW	34	1983-06-03	No	235 Lbs	6 ft3	No	No	No	2	UFA	Pro & Farm	800,000$	80,000$	0$	No	Link
Craig Cunningham	Minnesota (Min)	LW/RW	27	1990-09-13	No	184 Lbs	5 ft10	Yes	No	No	6	RFA	Pro & Farm	1,000,000$	100,000$	0$	No	Link
David Pope	Minnesota (Min)	LW	23	1994-09-27	Yes	187 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	650,000$	65,000$	0$	No	Link
Evgeny Svechnikov	Minnesota (Min)	LW/RW	20	1996-10-31	Yes	212 Lbs	6 ft3	No	No	No	3	ELC	Pro & Farm	925,000$	92,500$	0$	No	Link
Filip Berglund	Minnesota (Min)	D	20	1997-05-10	Yes	209 Lbs	6 ft3	No	No	No	4	ELC	Pro & Farm	650,000$	65,000$	0$	No	Link
J.T. Brown	Minnesota (Min)	C/LW/RW	27	1990-07-02	No	169 Lbs	5 ft10	No	No	No	1	RFA	Pro & Farm	900,000$	90,000$	0$	No	Link
James Wright	Minnesota (Min)	C/LW	27	1990-03-24	No	200 Lbs	6 ft4	No	No	No	4	RFA	Pro & Farm	600,000$	60,000$	0$	No	Link
Jason Akeson	Minnesota (Min)	RW	27	1990-06-03	No	190 Lbs	5 ft10	No	No	No	2	RFA	Pro & Farm	800,000$	80,000$	0$	No	Link
Jonny Brodzinski	Minnesota (Min)	C/RW	24	1993-06-19	Yes	217 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	693,000$	69,300$	0$	No	Link
Joseph Anderson	Minnesota (Min)	RW	19	1998-06-19	Yes	192 Lbs	5 ft11	No	No	No	4	ELC	Pro & Farm	700,000$	70,000$	0$	No	Link
Julius Vahatalo	Minnesota (Min)	LW	22	1995-05-23	Yes	191 Lbs	6 ft5	No	No	No	2	RFA	Pro & Farm	525,000$	52,500$	0$	No	Link
Kevin Poulin	Minnesota (Min)	G	27	1990-04-12	No	199 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	700,000$	70,000$	0$	No	Link
Kristopher Foucault	Minnesota (Min)	LW	26	1990-12-12	No	202 Lbs	6 ft1	No	No	No	4	RFA	Pro & Farm	750,000$	75,000$	0$	No	Link
Logan Brown	Minnesota (Min)	C	19	1998-03-05	Yes	220 Lbs	6 ft6	No	No	No	4	ELC	Pro & Farm	925,000$	92,500$	0$	No	Link
Martin Reway	Minnesota (Min)	C/LW	22	1995-01-24	Yes	158 Lbs	5 ft8	No	No	No	2	RFA	Pro & Farm	650,000$	65,000$	0$	No	Link
Mathias From	Minnesota (Min)	LW/RW	19	1997-12-16	Yes	161 Lbs	6 ft0	No	No	No	4	ELC	Pro & Farm	525,000$	52,500$	0$	No	Link
Miles Gendron	Minnesota (Min)	D	21	1996-06-28	Yes	181 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	700,000$	70,000$	0$	No	Link
Oliver Kylington	Minnesota (Min)	D	20	1997-05-19	No	183 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	743,000$	74,300$	0$	No	Link
Saku Maenalanen	Minnesota (Min)	LW/RW	23	1994-05-29	Yes	176 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	525,000$	52,500$	0$	No	Link
Timo Pielmeier	Minnesota (Min)	G	28	1989-07-07	No	175 Lbs	5 ft11	Yes	No	No	6	UFA	Pro & Farm	650,000$	65,000$	0$	No	Link
Travis Ewanyk	Minnesota (Min)	LW	24	1993-03-29	Yes	176 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	750,000$	75,000$	0$	No	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
28	23.54	189 Lbs	6 ft0	2.96	722,714$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		J.T. Brown	Evgeny Svechnikov	40	1	2	2
2	Chris Terry	Jonny Brodzinski	Blake Pietila	30	1	2	2
3	Alexander Guptill	Logan Brown	Jason Akeson	20	1	2	2
4	Craig Cunningham	Chase De Leo	Joseph Anderson	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2	Oliver Kylington	Adam Fox	30	1	2	2
3	Miles Gendron	Chase De Leo	20	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		J.T. Brown	Evgeny Svechnikov	60	1	2	2
2	Chris Terry	Jonny Brodzinski	Blake Pietila	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Oliver Kylington	Adam Fox	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	J.T. Brown		60	1	2	2
2	Evgeny Svechnikov	Chris Terry	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Oliver Kylington	Adam Fox	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	J.T. Brown	60	1	2	2			60	1	2	2
2		40	1	2	2	Oliver Kylington	Adam Fox	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	J.T. Brown		60	1	2	2
2	Evgeny Svechnikov	Chris Terry	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Oliver Kylington	Adam Fox	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
	J.T. Brown	Evgeny Svechnikov

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
	J.T. Brown	Evgeny Svechnikov

Extra Forwards
Normal	PowerPlay	Penalty Kill
Craig Cunningham, Jason Akeson, Logan Brown	Craig Cunningham, Jason Akeson	Logan Brown

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Miles Gendron, Oliver Kylington, Adam Fox	Miles Gendron	Oliver Kylington, Adam Fox

Penalty Shots
J.T. Brown, , Evgeny Svechnikov, Chris Terry, Jonny Brodzinski

Goalie
#1 : Kevin Poulin, #2 : Timo Pielmeier

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	2	1	0	0	0	0	0	11	6	5	2	1	1	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	4	1	3	4	0.667	11	19	30	0	0	137	86	94	20	90	833	771	822	75	68	35	31	61	11	3	27.27%	13	2	84.62%	1	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
2	Baby Hawks	4	1	2	0	0	0	1	0	13	14	-1	2	1	0	0	0	0	1	0	9	5	4	2	0	2	0	0	0	0	0	4	9	-5	4	0.500	13	23	36	0	0	137	86	94	20	113	833	771	822	75	116	34	35	70	27	6	22.22%	15	4	73.33%	0	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
3	Bears	2	0	2	0	0	0	0	0	6	9	-3	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	4	5	-1	0	0.000	6	9	15	0	0	137	86	94	20	50	833	771	822	75	65	19	39	40	7	3	42.86%	12	5	58.33%	0	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
4	Bruins	2	1	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	1	5	-4	1	1	0	0	0	0	0	0	3	1	2	2	0.500	4	8	12	0	0	137	86	94	20	53	833	771	822	75	33	9	10	37	9	3	33.33%	5	1	80.00%	0	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
5	Cabaret Lady Mary Ann	2	2	0	0	0	0	0	0	10	7	3	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	4	3	1	4	1.000	10	17	27	0	0	137	86	94	20	93	833	771	822	75	64	17	14	37	13	3	23.08%	7	2	71.43%	0	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
6	Caroline	2	0	1	0	1	0	0	0	9	10	-1	1	0	1	0	0	0	0	0	5	7	-2	1	0	0	0	1	0	0	0	4	3	1	2	0.500	9	17	26	0	0	137	86	94	20	74	833	771	822	75	77	24	12	36	15	2	13.33%	6	2	66.67%	0	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
7	Chiefs	4	0	2	0	0	0	2	0	14	18	-4	2	0	1	0	0	0	1	0	7	8	-1	2	0	1	0	0	0	1	0	7	10	-3	4	0.500	14	21	35	0	0	137	86	94	20	86	833	771	822	75	145	30	28	72	20	3	15.00%	13	6	53.85%	0	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
8	Chill	4	1	1	0	0	0	0	2	12	17	-5	2	1	0	0	0	0	0	1	7	7	0	2	0	1	0	0	0	0	1	5	10	-5	4	0.500	12	22	34	0	0	137	86	94	20	154	833	771	822	75	123	38	28	92	18	2	11.11%	13	2	84.62%	1	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
9	Comets	3	2	1	0	0	0	0	0	15	15	0	1	1	0	0	0	0	0	0	6	3	3	2	1	1	0	0	0	0	0	9	12	-3	4	0.667	15	24	39	0	0	137	86	94	20	78	833	771	822	75	108	27	32	60	16	6	37.50%	16	6	62.50%	0	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
10	Cougars	2	2	0	0	0	0	0	0	11	5	6	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	5	2	3	4	1.000	11	20	31	0	0	137	86	94	20	51	833	771	822	75	61	15	13	20	10	4	40.00%	4	1	75.00%	0	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
11	Crunch	2	1	0	0	0	0	0	1	9	8	1	1	1	0	0	0	0	0	0	5	3	2	1	0	0	0	0	0	0	1	4	5	-1	3	0.750	9	16	25	0	0	137	86	94	20	72	833	771	822	75	42	15	10	38	10	1	10.00%	5	2	60.00%	0	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
12	Heat	3	3	0	0	0	0	0	0	17	9	8	1	1	0	0	0	0	0	0	5	3	2	2	2	0	0	0	0	0	0	12	6	6	6	1.000	17	28	45	0	0	137	86	94	20	107	833	771	822	75	79	18	27	56	21	5	23.81%	10	3	70.00%	1	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
13	Jayhawks	3	0	3	0	0	0	0	0	9	17	-8	2	0	2	0	0	0	0	0	6	12	-6	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	9	18	27	0	0	137	86	94	20	72	833	771	822	75	99	37	28	66	10	2	20.00%	14	3	78.57%	0	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
14	Las Vegas	3	2	1	0	0	0	0	0	12	11	1	1	1	0	0	0	0	0	0	3	1	2	2	1	1	0	0	0	0	0	9	10	-1	4	0.667	12	20	32	0	0	137	86	94	20	99	833	771	822	75	73	25	28	44	9	1	11.11%	9	2	77.78%	0	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
15	Manchots	2	2	0	0	0	0	0	0	8	6	2	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	4	1.000	8	14	22	0	0	137	86	94	20	46	833	771	822	75	42	9	6	29	8	2	25.00%	3	1	66.67%	0	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
16	Marlies	2	0	1	0	0	0	0	1	8	11	-3	1	0	0	0	0	0	0	1	4	5	-1	1	0	1	0	0	0	0	0	4	6	-2	1	0.250	8	13	21	0	0	137	86	94	20	40	833	771	822	75	79	14	26	41	11	4	36.36%	12	4	66.67%	0	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
17	Monarchs	3	1	1	0	1	0	0	0	15	14	1	2	1	1	0	0	0	0	0	10	10	0	1	0	0	0	1	0	0	0	5	4	1	4	0.667	15	24	39	0	0	137	86	94	20	103	833	771	822	75	97	27	18	58	17	4	23.53%	9	2	77.78%	0	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
18	Monsters	2	0	1	0	0	1	0	0	10	13	-3	1	0	1	0	0	0	0	0	5	7	-2	1	0	0	0	0	1	0	0	5	6	-1	1	0.250	10	17	27	0	0	137	86	94	20	61	833	771	822	75	61	10	19	44	9	2	22.22%	7	1	85.71%	1	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
19	Monsters	4	0	3	0	0	0	1	0	18	22	-4	2	0	1	0	0	0	1	0	13	14	-1	2	0	2	0	0	0	0	0	5	8	-3	2	0.250	18	26	44	0	0	137	86	94	20	110	833	771	822	75	130	42	37	85	24	9	37.50%	16	6	62.50%	0	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
20	Oceanics	5	1	4	0	0	0	0	0	18	29	-11	3	0	3	0	0	0	0	0	11	16	-5	2	1	1	0	0	0	0	0	7	13	-6	2	0.200	18	32	50	0	0	137	86	94	20	118	833	771	822	75	203	77	42	90	17	3	17.65%	21	5	76.19%	0	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
21	Oil Kings	3	1	1	0	0	0	0	1	12	10	2	1	0	0	0	0	0	0	1	5	6	-1	2	1	1	0	0	0	0	0	7	4	3	3	0.500	12	21	33	0	0	137	86	94	20	85	833	771	822	75	66	16	19	50	17	5	29.41%	7	3	57.14%	0	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
22	Phantoms	2	1	1	0	0	0	0	0	8	7	1	1	0	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	4	2	2	2	0.500	8	16	24	0	0	137	86	94	20	35	833	771	822	75	46	14	12	31	5	2	40.00%	6	2	66.67%	0	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
23	Rocket	2	1	0	0	1	0	0	0	5	2	3	1	0	0	0	1	0	0	0	3	2	1	1	1	0	0	0	0	0	0	2	0	2	4	1.000	5	10	15	0	1	137	86	94	20	61	833	771	822	75	33	11	12	37	6	1	16.67%	6	0	100.00%	0	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
24	Senators	2	1	1	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	1	6	-5	1	1	0	0	0	0	0	0	4	3	1	2	0.500	5	9	14	0	0	137	86	94	20	41	833	771	822	75	60	9	20	30	10	3	30.00%	10	4	60.00%	0	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
25	Sharks	3	1	1	0	0	0	0	1	16	14	2	2	1	0	0	0	0	0	1	14	9	5	1	0	1	0	0	0	0	0	2	5	-3	3	0.500	16	28	44	0	0	137	86	94	20	137	833	771	822	75	140	47	32	69	12	0	0.00%	11	4	63.64%	0	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
26	Sound Tigers	2	1	0	0	0	0	1	0	11	9	2	1	0	0	0	0	0	1	0	6	5	1	1	1	0	0	0	0	0	0	5	4	1	4	1.000	11	15	26	0	0	137	86	94	20	54	833	771	822	75	56	16	12	34	13	3	23.08%	6	2	66.67%	0	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
27	Spiders	2	0	2	0	0	0	0	0	5	11	-6	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	3	8	-5	0	0.000	5	8	13	0	0	137	86	94	20	70	833	771	822	75	65	14	6	31	7	1	14.29%	3	1	66.67%	0	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
28	Stars	5	2	2	0	0	0	1	0	16	18	-2	2	1	1	0	0	0	0	0	4	8	-4	3	1	1	0	0	0	1	0	12	10	2	6	0.600	16	27	43	0	1	137	86	94	20	148	833	771	822	75	144	47	41	90	18	3	16.67%	12	3	75.00%	0	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
29	Thunder	2	2	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	4	2	2	4	1.000	7	12	19	0	0	137	86	94	20	50	833	771	822	75	64	15	25	29	7	2	28.57%	9	1	88.89%	1	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
	Total	82	33	33	0	3	1	6	6	326	338	-12	41	15	17	0	1	0	4	4	172	176	-4	41	18	16	0	2	1	2	2	154	162	-8	91	0.555	326	557	883	0	2	137	86	94	20	2447	833	771	822	75	2518	731	674	1530	384	91	23.70%	286	82	71.33%	5	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
31	Wolf Pack	2	2	0	0	0	0	0	0	12	7	5	1	1	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	4	2	2	4	1.000	12	23	35	0	0	137	86	94	20	96	833	771	822	75	79	20	12	53	7	3	42.86%	6	2	66.67%	0	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
	_Since Last GM Reset	82	33	33	0	3	1	6	6	326	338	-12	41	15	17	0	1	0	4	4	172	176	-4	41	18	16	0	2	1	2	2	154	162	-8	91	0.555	326	557	883	0	2	137	86	94	20	2447	833	771	822	75	2518	731	674	1530	384	91	23.70%	286	82	71.33%	5	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
	_Vs Conference	42	17	16	0	2	0	5	2	170	166	4	19	8	6	0	1	0	3	1	83	79	4	23	9	10	0	1	0	2	1	87	87	0	50	0.595	170	288	458	0	2	137	86	94	20	1249	833	771	822	75	1237	358	336	761	216	51	23.61%	140	43	69.29%	1	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
	_Vs Division	24	5	5	0	0	0	3	0	107	96	11	12	3	1	0	0	0	2	0	56	49	7	12	2	4	0	0	0	1	0	51	47	4	16	0.333	107	182	289	0	0	137	86	94	20	771	833	771	822	75	730	232	215	464	113	26	23.01%	89	25	71.91%	2	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	91	W1	326	557	883	2447	2518	731	674	1530	0	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	33	33	3	1	6	6	326	338

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	15	17	1	0	4	4	172	176

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	18	16	2	1	2	2	154	162

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	5	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
384	91	23.70%	286	82	71.33%	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
833	771	822	75	137	86	94	20

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1955	1328	1930	626	1098	551

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	13	Minnesota	1	Monsters	2	L			BoxScore
4 - 2018-10-06	25	Las Vegas	1	Minnesota	3	W			BoxScore
9 - 2018-10-11	56	Baby Hawks	2	Minnesota	3	W	X	X	BoxScore
11 - 2018-10-13	60	Caroline	7	Minnesota	5	L			BoxScore
13 - 2018-10-15	77	Minnesota	1	Chill	5	L			BoxScore
14 - 2018-10-16	83	Jayhawks	6	Minnesota	3	L			BoxScore
17 - 2018-10-19	100	Minnesota	3	Stars	5	L			BoxScore
18 - 2018-10-20	110	Thunder	2	Minnesota	3	W			BoxScore
23 - 2018-10-25	138	Monarchs	4	Minnesota	6	W			BoxScore
25 - 2018-10-27	156	Monsters	7	Minnesota	8	W	X	X	BoxScore
27 - 2018-10-29	166	Minnesota	4	Comets	8	L			BoxScore
28 - 2018-10-30	174	Minnesota	2	Oil Kings	3	L			BoxScore
32 - 2018-11-03	201	Minnesota	3	Chiefs	7	L			BoxScore
35 - 2018-11-06	223	Minnesota	2	Sharks	5	L			BoxScore
37 - 2018-11-08	235	Minnesota	5	Monarchs	4	W	X		BoxScore
38 - 2018-11-09	241	Minnesota	4	Admirals	1	W			BoxScore
40 - 2018-11-11	253	Minnesota	4	Chiefs	3	W	X	X	BoxScore
42 - 2018-11-13	269	Bears	4	Minnesota	2	L			BoxScore
44 - 2018-11-15	282	Comets	3	Minnesota	6	W			BoxScore
46 - 2018-11-17	294	Crunch	3	Minnesota	5	W			BoxScore
47 - 2018-11-18	305	Minnesota	3	Baby Hawks	4	L			BoxScore
50 - 2018-11-21	327	Senators	6	Minnesota	1	L			BoxScore
52 - 2018-11-23	334	Oceanics	7	Minnesota	4	L			BoxScore
56 - 2018-11-27	372	Jayhawks	6	Minnesota	3	L			BoxScore
58 - 2018-11-29	383	Minnesota	5	Monsters	6	L	X		BoxScore
60 - 2018-12-01	397	Marlies	5	Minnesota	4	L	X	X	BoxScore
63 - 2018-12-04	423	Minnesota	5	Comets	4	W			BoxScore
65 - 2018-12-06	435	Minnesota	5	Heat	2	W			BoxScore
66 - 2018-12-07	442	Minnesota	5	Oil Kings	1	W			BoxScore
70 - 2018-12-11	472	Rocket	2	Minnesota	3	W	X		BoxScore
72 - 2018-12-13	484	Cabaret Lady Mary Ann	4	Minnesota	6	W			BoxScore
74 - 2018-12-15	495	Heat	3	Minnesota	5	W			BoxScore
77 - 2018-12-18	521	Sharks	6	Minnesota	5	L	X	X	BoxScore
79 - 2018-12-20	533	Minnesota	4	Manchots	3	W			BoxScore
81 - 2018-12-22	556	Stars	0	Minnesota	3	W			BoxScore
86 - 2018-12-27	575	Minnesota	1	Baby Hawks	5	L			BoxScore
88 - 2018-12-29	584	Minnesota	4	Oceanics	3	W			BoxScore
90 - 2018-12-31	601	Manchots	3	Minnesota	4	W			BoxScore
93 - 2019-01-03	621	Minnesota	4	Marlies	6	L			BoxScore
95 - 2019-01-05	637	Minnesota	4	Senators	3	W			BoxScore
97 - 2019-01-07	654	Minnesota	2	Rocket	0	W			BoxScore
98 - 2019-01-08	657	Minnesota	3	Bruins	1	W			BoxScore
100 - 2019-01-10	678	Oceanics	3	Minnesota	2	L			BoxScore
102 - 2019-01-12	693	Cougars	3	Minnesota	6	W			BoxScore
104 - 2019-01-14	708	Minnesota	4	Phantoms	2	W			BoxScore
105 - 2019-01-15	717	Monarchs	6	Minnesota	4	L			BoxScore
107 - 2019-01-17	731	Admirals	2	Minnesota	1	L			BoxScore
109 - 2019-01-19	748	Monsters	7	Minnesota	5	L			BoxScore
111 - 2019-01-21	758	Minnesota	3	Las Vegas	8	L			BoxScore
113 - 2019-01-23	767	Minnesota	4	Monsters	6	L			BoxScore
122 - 2019-02-01	788	Minnesota	5	Stars	4	W	X	X	BoxScore
123 - 2019-02-02	799	Baby Hawks	3	Minnesota	6	W			BoxScore
126 - 2019-02-05	810	Minnesota	4	Crunch	5	L	X	X	BoxScore
128 - 2019-02-07	833	Oil Kings	6	Minnesota	5	L	X	X	BoxScore
130 - 2019-02-09	840	Minnesota	3	Spiders	8	L			BoxScore
131 - 2019-02-10	857	Minnesota	5	Sound Tigers	4	W			BoxScore
133 - 2019-02-12	871	Phantoms	5	Minnesota	4	L			BoxScore
136 - 2019-02-15	890	Spiders	3	Minnesota	2	L			BoxScore
138 - 2019-02-17	905	Chiefs	4	Minnesota	5	W	X	X	BoxScore
140 - 2019-02-19	922	Admirals	3	Minnesota	6	W			BoxScore
142 - 2019-02-21	932	Minnesota	4	Wolf Pack	2	W			BoxScore
143 - 2019-02-22	942	Minnesota	5	Cougars	2	W			BoxScore
145 - 2019-02-24	959	Chiefs	4	Minnesota	2	L			BoxScore
147 - 2019-02-26	976	Minnesota	3	Oceanics	10	L			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
151 - 2019-03-02	1008	Minnesota	7	Heat	4	W			BoxScore
152 - 2019-03-03	1015	Chill	3	Minnesota	2	L	X	X	BoxScore
154 - 2019-03-05	1024	Minnesota	4	Chill	5	L	X	X	BoxScore
156 - 2019-03-07	1037	Minnesota	4	Thunder	2	W			BoxScore
157 - 2019-03-08	1044	Minnesota	4	Cabaret Lady Mary Ann	3	W			BoxScore
160 - 2019-03-11	1068	Sharks	3	Minnesota	9	W			BoxScore
163 - 2019-03-14	1088	Stars	8	Minnesota	1	L			BoxScore
165 - 2019-03-16	1108	Wolf Pack	5	Minnesota	8	W			BoxScore
166 - 2019-03-17	1113	Sound Tigers	5	Minnesota	6	W	X	X	BoxScore
168 - 2019-03-19	1129	Monsters	7	Minnesota	5	L			BoxScore
171 - 2019-03-22	1148	Minnesota	4	Bears	5	L			BoxScore
172 - 2019-03-23	1158	Minnesota	4	Caroline	3	W	X		BoxScore
174 - 2019-03-25	1174	Chill	4	Minnesota	5	W			BoxScore
178 - 2019-03-29	1202	Minnesota	6	Las Vegas	2	W			BoxScore
180 - 2019-03-31	1216	Minnesota	3	Jayhawks	5	L			BoxScore
182 - 2019-04-02	1234	Oceanics	6	Minnesota	5	L			BoxScore
184 - 2019-04-04	1250	Bruins	5	Minnesota	1	L			BoxScore
186 - 2019-04-06	1267	Minnesota	4	Stars	1	W			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	60,880	31,139
Attendance PCT	74.24%	75.95%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
0	2244 - 74.81%	63,363$	2,597,885$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,108,450$	2,023,600$	2,023,600$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
10,821$	2,108,450$	28	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	10,821$	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	33	33	0	3	1	6	6	326	338	-12	41	15	17	0	1	0	4	4	172	176	-4	41	18	16	0	2	1	2	2	154	162	-8	91	326	557	883	0	2	137	86	94	20	2447	833	771	822	75	2518	731	674	1530	384	91	23.70%	286	82	71.33%	5	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551
Total Regular Season	82	33	33	0	3	1	6	6	326	338	-12	41	15	17	0	1	0	4	4	172	176	-4	41	18	16	0	2	1	2	2	154	162	-8	91	326	557	883	0	2	137	86	94	20	2447	833	771	822	75	2518	731	674	1530	384	91	23.70%	286	82	71.33%	5	1190	2412	49.34%	1089	2343	46.48%	723	1485	48.69%	1955	1328	1930	626	1098	551