Stars
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat

Game Center
	Stars 46-27-9, 101pts	2	FINAL	3	Ducks 39-29-14, 92pts

Team Stats
L2	Streak	L1
30-7-4	Home Record	21-15-5
16-20-5	Away Record	18-14-9
3-6-1	Last 10 Games	4-4-2
3.10	Goals Per Game	3.06
3.07	Goals Against Per Game	3.11
13.22%	Power Play Percentage	16.60%
81.55%	Penalty Kill Percentage	82.67%

Stars
46-27-9, 101pts

FINAL

Predators
41-32-9, 91pts

Team Stats
L2	Streak	L1
30-7-4	Home Record	21-14-6
16-20-5	Away Record	20-18-3
3-6-1	Last 10 Games	4-6-0
3.10	Goals Per Game	3.30
3.07	Goals Against Per Game	3.18
13.22%	Power Play Percentage	12.85%
81.55%	Penalty Kill Percentage	83.27%

Team Leaders
	Goals Brendan Perlini 36	Assists Vincent Hinostroza 44

	Points Brendan Perlini 78	Plus/Minus Cole Caufield 17

	Wins Laurent Brossoit 34	Save Percentage Laurent Brossoit 0.911

Team Stats
Goals For 254 3.10 GFG	Shots For 2556 31.17 Avg	Power Play Percentage 13.2% 32 GF	Offensive Zone Start 37.0%
Goals Against 252 3.07 GAA	Shots Against 2661 32.45 Avg	Penalty Kill Percentage 81.5% 50 GA	Defensive Zone Start 39.5%

Team Info
	General Manager	Guillaume Blanchet
	Coach	John Tortorella
	Division	Centrale
	Conference	Ouest
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,917
	Season Tickets	2,850
Roster Info
	Pro Team	29
	Farm Team	18
	Contract Limit	47 / 60
	Prospects	27
Team History
	This Season	46-27-9 (101PTS)
	History	170-113-45 (0.518%)
	Playoff Appearances	0
	Playoff Record (W-L)	-
	Stanley Cup	0

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	Age	Contract	Salary
1	Brendan Perlini (R)			X		100.00	73	45	80	70	79	73	90	94	65	90	91	76	55	80	59	80	70	77	0	26	2	1,250,000$
2	Vincent Hinostroza (R)	X				98.00	63	33	95	73	67	74	85	82	68	86	81	77	76	74	69	47	70	74	0	28	2	800,000$
3	Chris Wagner (R)	X				100.00	89	46	79	65	74	75	86	70	81	73	68	81	61	81	73	46	75	70	0	30	3	1,000,000$
4	Jordan Weal (R)		X			100.00	60	39	85	68	69	72	80	77	83	78	74	77	69	80	73	53	71	70	0	30	1	600,000$
5	Tyson Jost (R)		X			100.00	60	34	93	70	72	77	85	75	73	75	68	73	69	66	70	85	72	69	0	24	3	900,000$
6	Maxime Comtois (R)		X			100.00	84	50	76	72	84	82	85	72	63	70	69	64	68	64	68	71	63	68	0	23	1	820,000$
7	Stanislav Galiev (R)			X		100.00	70	56	53	68	74	64	68	69	56	94	68	59	61	80	76	50	75	68	0	30	1	800,000$
8	Cody Glass (R)	X				100.00	56	35	94	73	86	79	82	70	80	68	65	63	73	65	68	87	71	67	0	23	2	863,333$
9	Joel Kiviranta (R)		X			100.00	81	35	92	74	68	85	73	67	59	66	71	64	68	70	66	52	72	67	0	26	2	925,000$
10	Cole Caufield (R)			X		100.00	53	35	94	78	64	80	71	76	55	67	73	62	78	62	66	85	72	67	0	21	3	880,833$
11	Laurent Dauphin (R)	X				100.00	43	28	66	70	71	55	81	79	73	65	62	80	51	65	59	70	72	65	0	27	1	575,000$
12	Garrett Wilson (R)			X		100.00	75	47	65	66	76	57	81	67	57	65	61	71	59	69	56	47	42	64	0	31	3	575,000$
13	Brady Skjei (R)				X	100.00	80	48	79	73	85	87	89	82	30	83	76	87	56	74	70	75	69	77	0	28	1	1,500,000$
14	Jakob Chychrun (R)				X	100.00	81	44	78	77	79	87	81	86	30	85	80	78	56	66	69	83	73	75	0	24	2	1,000,000$
15	Sean Walker (R)				X	100.00	73	38	88	70	72	88	89	68	30	74	65	69	55	74	69	35	68	69	0	27	1	745,000$
16	Henri Jokiharju (R)				X	100.00	71	35	86	70	74	82	84	70	30	73	56	70	54	63	65	78	67	68	0	22	1	925,000$
17	Taylor Fedun (R)				X	100.00	59	39	87	61	76	71	71	64	30	70	58	80	55	83	75	45	71	67	0	33	3	700,000$
18	Mark Friedman (R)				X	100.00	58	45	87	60	71	81	79	65	30	65	60	68	50	72	67	57	71	64	0	26	1	825,000$
Scratches
1	Rostislav Olesz		X			100.00	99	71	50	57	80	52	72	59	31	55	62	73	75	93	99	20	20	63	0	36	1	575,000$
2	Justin Dowling (R)	X				100.00	55	39	90	63	70	72	73	66	72	67	57	67	59	83	72	52	19	63	0	31	3	575,000$
3	Vitali Kravtsov (R)			X		100.00	54	35	94	68	81	74	73	67	59	63	66	61	72	63	65	86	41	63	0	22	3	925,000$
4	Sheldon Dries (R)	X				100.00	82	42	84	66	69	80	74	62	72	60	63	57	61	73	67	38	20	62	0	28	1	735,000$
5	Adam Johnson (R)		X			100.00	57	41	83	60	70	72	72	66	67	67	62	65	59	74	69	51	20	62	0	27	2	725,000$
6	Libor Hajek (R)				X	99.81	58	39	93	63	76	80	79	62	30	59	55	73	52	65	66	76	10	64	0	24	1	925,000$
7	Jack Rathbone (R)				X	100.00	62	35	93	68	71	87	76	66	30	69	62	61	55	63	62	64	20	64	0	22	3	925,000$
8	Gavin Bayreuther (R)				X	100.00	66	50	75	64	76	79	73	63	30	63	59	61	51	73	67	37	20	63	0	27	1	925,000$

	TEAM AVERAGE					99.88	68	42	82	68	74	76	79	71	53	71	67	70	61	72	69	60	54	67

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	Age	Contract	Salary
1	Laurent Brossoit (R)	100.00	90	82	93	82	88	99	98	98	98	89	80	76	80	57	69	88	0	29	1	2,000,000$
2	Jean-François Berube (R)	100.00	80	66	90	74	81	87	82	81	81	70	52	77	68	48	71	76	0	30	3	600,000$
Scratches
1	Filip Gustavsson (R)	100.00	74	85	81	77	73	77	79	78	77	74	73	65	69	71	20	75	0	23	3	787,500$

	TEAM AVERAGE	100.00	81	78	88	78	81	88	86	86	85	78	68	73	72	59	53	80

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
John Tortorella	70	69	70	67	99	99	71	USA	63	2	800,000$

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Brendan Perlini	Stars (DAL)	RW	79	36	42	78	-9	68	0	186	154	305	93	163	11.80%	55	1635	20.71	10	10	20	57	207	0	0	0	2	197	5	4	48.76%	445	60	21	0	1	0.95	1	7	0	0	0	8	5	3
2	Vincent Hinostroza	Stars (DAL)	C	71	30	44	74	-2	11	5	88	172	219	51	129	13.70%	39	1484	20.91	6	14	20	24	182	0	0	0	3	205	6	0	46.94%	1636	43	25	3	0	1.00	2	6	1	0	0	7	5	4
3	Stanislav Galiev	Stars (DAL)	RW	82	23	36	59	5	168	20	194	103	224	67	153	10.27%	24	1416	17.28	2	2	4	10	170	0	0	0	0	1	5	2	46.75%	77	47	26	0	0	0.83	0	1	2	2	0	6	6	2
4	Chris Wagner	Stars (DAL)	C	82	16	32	48	1	45	15	172	212	145	45	97	11.03%	45	1564	19.07	1	3	4	7	177	1	0	1	4	129	4	1	52.10%	1622	23	34	0	0	0.61	1	3	1	0	2	5	4	3
5	Tyson Jost	Stars (DAL)	LW	82	28	18	46	12	29	5	106	125	250	84	144	11.20%	24	1526	18.61	1	2	3	16	176	0	0	0	8	98	0	6	39.00%	100	25	23	0	0	0.60	1	3	0	0	1	2	1	8
6	Jakob Chychrun	Stars (DAL)	D	82	9	34	43	0	110	30	170	156	203	66	75	4.43%	111	1907	23.26	2	5	7	27	231	0	0	0	3	221	2	0	0.00%	0	65	50	0	0	0.45	0	0	2	2	2	0	1	1
7	Brady Skjei	Stars (DAL)	D	77	6	35	41	4	48	0	152	157	136	58	48	4.41%	100	1821	23.66	4	5	9	19	217	0	0	0	1	213	1	2	0.00%	0	31	46	0	0	0.45	0	0	0	0	0	1	1	1
8	Cole Caufield	Stars (DAL)	RW	82	21	19	40	17	9	5	48	71	236	58	125	8.90%	30	1045	12.75	0	0	0	1	10	0	0	0	3	27	3	4	36.51%	63	41	11	0	1	0.77	0	1	0	1	0	3	2	3
9	Jordan Weal	Stars (DAL)	LW	74	17	21	38	-11	29	5	121	88	117	31	60	14.53%	36	1439	19.45	4	5	9	18	197	0	1	1	4	99	4	1	49.62%	133	13	19	0	0	0.53	1	5	0	0	1	3	2	1
10	Maxime Comtois	Stars (DAL)	LW	72	20	14	34	12	46	10	170	80	118	44	66	16.95%	18	959	13.32	0	0	0	1	23	0	0	0	0	15	5	0	40.00%	50	29	16	0	0	0.71	0	0	0	0	2	3	6	2
11	Sean Walker	Stars (DAL)	D	82	1	33	34	8	23	5	115	133	62	28	30	1.61%	94	1773	21.63	1	3	4	4	163	0	1	1	0	166	0	0	0.00%	0	22	33	0	0	0.38	0	0	0	1	0	0	5	4
12	Laurent Dauphin	Stars (DAL)	C	82	12	17	29	17	22	0	34	74	103	41	70	11.65%	23	644	7.87	0	0	0	0	1	0	0	0	0	10	2	0	49.22%	256	15	8	0	0	0.90	0	0	0	0	0	4	2	0
13	Henri Jokiharju	Stars (DAL)	D	76	5	20	25	11	20	0	123	137	55	29	27	9.09%	83	1609	21.18	1	1	2	4	146	0	0	0	0	145	0	0	0.00%	0	12	47	0	0	0.31	0	0	0	0	0	2	0	0
14	Cody Glass	Stars (DAL)	C	82	8	17	25	8	4	0	60	126	98	43	78	8.16%	25	1079	13.16	0	0	0	1	31	0	0	0	0	3	1	2	46.77%	742	23	17	0	0	0.46	0	0	0	0	0	0	1	2
15	Joel Kiviranta	Stars (DAL)	LW	82	10	12	22	8	2	0	96	67	125	29	72	8.00%	15	773	9.43	0	0	0	0	3	0	0	0	1	68	2	0	43.28%	67	20	21	0	0	0.57	0	0	0	0	0	0	1	1
16	Mark Friedman	Stars (DAL)	D	82	1	13	14	7	12	0	75	92	37	13	24	2.70%	71	1325	16.17	0	0	0	0	8	0	0	0	0	79	0	0	0.00%	1	5	32	0	0	0.21	0	0	0	0	0	0	0	1
17	Taylor Fedun	Stars (DAL)	D	82	2	12	14	13	25	15	69	100	59	15	22	3.39%	87	1306	15.93	0	0	0	3	25	0	0	0	0	26	0	0	0.00%	0	6	43	0	0	0.21	0	0	0	0	3	1	0	1
18	Vitali Kravtsov	Stars (DAL)	RW	47	3	6	9	-1	0	0	14	24	22	10	22	13.64%	6	343	7.30	0	0	0	0	3	0	0	0	0	0	1	0	0.00%	3	0	1	0	0	0.52	0	0	0	0	0	0	0	1
19	Garrett Wilson	Stars (DAL)	RW	38	2	2	4	7	6	0	40	18	19	8	12	10.53%	6	289	7.62	0	1	1	1	5	0	0	0	0	0	2	0	50.00%	6	5	3	0	0	0.28	0	0	0	0	0	0	0	2
20	Adam Johnson	Stars (DAL)	LW	18	2	2	4	0	4	0	6	5	7	3	2	28.57%	1	130	7.23	0	0	0	0	0	0	0	0	0	0	1	0	0.00%	0	0	0	0	0	0.61	0	0	0	0	0	0	1	0
21	Libor Hajek	Stars (DAL)	D	10	0	1	1	-2	2	0	3	9	10	1	1	0.00%	8	153	15.31	0	0	0	0	1	0	0	0	0	9	0	0	0.00%	0	1	4	0	0	0.13	0	1	0	0	0	0	0	0
22	Justin Dowling	Stars (DAL)	C	11	0	1	1	1	0	0	3	6	6	1	6	0.00%	1	84	7.70	0	0	0	0	0	0	0	0	1	3	0	0	41.38%	29	0	0	0	0	0.24	0	0	0	0	0	0	0	0
23	Jack Rathbone	Stars (DAL)	D	1	0	0	0	0	0	0	0	0	0	0	1	0.00%	0	14	14.87	0	0	0	0	0	0	0	0	0	2	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0	0	0
Team Total or Average				1476	252	431	683	106	683	115	2045	2109	2556	818	1427	9.86%	902	24328	16.48	32	51	83	193	1984	1	2	3	30	1725	44	22	48.39%	5230	486	480	3	2	0.56	6	27	6	6	11	45	43	40

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	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Laurent Brossoit	Stars (DAL)	64	34	21	8	0.911	2.77	3745	4	173	1948	795	5	1	0.692	26	64	18	4	6	3
2	Jean-François Berube	Stars (DAL)	23	12	6	1	0.897	3.55	1234	0	73	712	319	0	0	0.000	0	18	64	1	1	1
Team Total or Average			87	46	27	9	0.908	2.96	4979	4	246	2660	1114	5	1	0.692	26	82	82	5	7	4

Show or Hide Column

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3
Adam Johnson	Stars (DAL)	LW	27	1994-06-22 03:40:15	Yes	174 Lbs	6 ft0	No	No	No	2	Pro & Farm	725,000$	3,796$	0$	0$	No	725,000$
Brady Skjei	Stars (DAL)	D	28	1994-03-26 16:15:30	Yes	214 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,500,000$	7,853$	0$	0$	No
Brendan Perlini	Stars (DAL)	RW	26	1996-04-27 13:26:48	Yes	211 Lbs	6 ft3	No	No	No	2	Pro & Farm	1,250,000$	6,545$	0$	0$	No	1,250,000$
Chris Wagner	Stars (DAL)	C	30	1991-05-27 23:11:13	Yes	198 Lbs	6 ft0	No	No	No	3	Pro & Farm	1,000,000$	5,236$	0$	0$	No	1,000,000$	1,000,000$
Cody Glass	Stars (DAL)	C	23	1999-04-01 07:03:41	Yes	185 Lbs	6 ft2	No	No	No	2	Pro & Farm	863,333$	4,520$	0$	0$	No	863,333$
Cole Caufield	Stars (DAL)	RW	21	2001-01-02 14:09:19	Yes	165 Lbs	5 ft7	No	No	No	3	Pro & Farm	880,833$	4,612$	0$	0$	No	880,833$	880,833$
Filip Gustavsson	Stars (DAL)	G	23	1998-06-07 14:06:37	Yes	183 Lbs	6 ft2	No	No	No	3	Pro & Farm	787,500$	4,123$	0$	0$	No	787,500$	787,500$
Garrett Wilson	Stars (DAL)	RW	31	1991-03-16 23:11:13	Yes	199 Lbs	6 ft2	No	No	No	3	Pro & Farm	575,000$	3,010$	0$	0$	No	575,000$	575,000$
Gavin Bayreuther	Stars (DAL)	D	27	1994-05-12 08:43:20	Yes	194 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	4,843$	0$	0$	No
Henri Jokiharju	Stars (DAL)	D	22	1999-06-17 12:02:07	Yes	193 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	4,843$	0$	0$	No
Jack Rathbone	Stars (DAL)	D	22	1999-05-20 14:03:09	Yes	190 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	4,843$	0$	0$	No	925,000$	925,000$
Jakob Chychrun	Stars (DAL)	D	24	1998-03-31 13:31:18	Yes	210 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,000,000$	5,236$	0$	0$	No	1,000,000$
Jean-François Berube	Stars (DAL)	G	30	1991-07-13 12:32:53	Yes	179 Lbs	6 ft1	No	No	No	3	Pro & Farm	600,000$	3,141$	0$	0$	No	600,000$	600,000$
Joel Kiviranta	Stars (DAL)	LW	26	1996-03-23 11:10:54	Yes	181 Lbs	5 ft10	No	No	No	2	Pro & Farm	925,000$	4,843$	0$	0$	No	925,000$
Jordan Weal	Stars (DAL)	LW	30	1992-04-15 16:19:58	Yes	179 Lbs	5 ft10	No	No	No	1	Pro & Farm	600,000$	3,141$	0$	0$	No
Justin Dowling	Stars (DAL)	C	31	1990-10-01 04:01:49	Yes	180 Lbs	5 ft10	No	No	No	3	Pro & Farm	575,000$	3,010$	0$	0$	No	575,000$	575,000$
Laurent Brossoit	Stars (DAL)	G	29	1993-03-23 13:26:44	Yes	204 Lbs	6 ft3	No	No	No	1	Pro & Farm	2,000,000$	10,471$	0$	0$	No
Laurent Dauphin	Stars (DAL)	C	27	1995-03-27 16:22:44	Yes	180 Lbs	6 ft1	No	No	No	1	Pro & Farm	575,000$	3,010$	0$	0$	No
Libor Hajek	Stars (DAL)	D	24	1998-02-04 11:55:38	Yes	205 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	4,843$	0$	0$	No
Mark Friedman	Stars (DAL)	D	26	1995-12-25 11:57:43	Yes	185 Lbs	5 ft11	No	No	No	1	Pro & Farm	825,000$	4,319$	0$	0$	No
Maxime Comtois	Stars (DAL)	LW	23	1999-01-08 11:59:44	Yes	216 Lbs	6 ft2	No	No	No	1	Pro & Farm	820,000$	4,293$	0$	0$	No
Rostislav Olesz	Stars (DAL)	LW	36	1985-10-10 11:11:13	No	229 Lbs	6 ft1	No	No	No	1	Pro & Farm	575,000$	3,010$	0$	0$	No
Sean Walker	Stars (DAL)	D	27	1994-11-13 04:55:59	Yes	196 Lbs	5 ft11	No	No	No	1	Pro & Farm	745,000$	3,901$	0$	0$	No
Sheldon Dries	Stars (DAL)	C	28	1994-04-23 03:51:12	Yes	185 Lbs	5 ft9	No	No	No	1	Pro & Farm	735,000$	3,848$	0$	0$	No
Stanislav Galiev	Stars (DAL)	RW	30	1992-01-17 05:11:13	Yes	193 Lbs	6 ft2	No	No	No	1	Pro & Farm	800,000$	4,188$	0$	0$	No
Taylor Fedun	Stars (DAL)	D	33	1988-06-04 05:11:13	Yes	201 Lbs	6 ft1	No	No	No	3	Pro & Farm	700,000$	3,665$	0$	0$	No	700,000$	700,000$
Tyson Jost	Stars (DAL)	LW	24	1998-03-14 11:00:15	Yes	191 Lbs	5 ft11	No	No	No	3	Pro & Farm	900,000$	4,712$	0$	0$	No	900,000$	900,000$
Vincent Hinostroza	Stars (DAL)	C	28	1994-04-03 09:14:16	Yes	173 Lbs	5 ft9	No	No	No	2	Pro & Farm	800,000$	4,188$	0$	0$	No	800,000$
Vitali Kravtsov	Stars (DAL)	RW	22	1999-12-23 14:01:13	Yes	187 Lbs	6 ft2	No	No	No	3	Pro & Farm	925,000$	4,843$	0$	0$	No	925,000$	925,000$

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
29	26.83	192 Lbs	6 ft0	1.90	875,230$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jordan Weal	Vincent Hinostroza	Brendan Perlini	35	1	2	2
2	Tyson Jost	Chris Wagner	Stanislav Galiev	35	1	2	2
3	Maxime Comtois	Cody Glass	Cole Caufield	25	1	2	2
4	Joel Kiviranta	Laurent Dauphin	Garrett Wilson	5	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brady Skjei	Jakob Chychrun	35	1	2	2
2	Sean Walker	Henri Jokiharju	35	1	2	2
3	Taylor Fedun	Mark Friedman	30	1	2	2
4	Brady Skjei	Jakob Chychrun	0	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jordan Weal	Vincent Hinostroza	Brendan Perlini	60	1	2	2
2	Tyson Jost	Chris Wagner	Stanislav Galiev	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brady Skjei	Jakob Chychrun	60	1	2	2
2	Sean Walker	Henri Jokiharju	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Brendan Perlini	Vincent Hinostroza	60	1	2	2
2	Chris Wagner	Jordan Weal	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brady Skjei	Jakob Chychrun	60	1	2	2
2	Sean Walker	Henri Jokiharju	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Brendan Perlini	60	1	2	2	Brady Skjei	Jakob Chychrun	60	1	2	2
2	Vincent Hinostroza	40	1	2	2	Sean Walker	Henri Jokiharju	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Brendan Perlini	Vincent Hinostroza	60	1	2	2
2	Chris Wagner	Jordan Weal	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brady Skjei	Jakob Chychrun	60	1	2	2
2	Sean Walker	Henri Jokiharju	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jordan Weal	Vincent Hinostroza	Brendan Perlini	Brady Skjei	Jakob Chychrun

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jordan Weal	Vincent Hinostroza	Brendan Perlini	Brady Skjei	Jakob Chychrun

Extra Forwards
Normal	PowerPlay	Penalty Kill
Maxime Comtois, Cole Caufield, Joel Kiviranta	Maxime Comtois, Cole Caufield	Joel Kiviranta

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Taylor Fedun, Mark Friedman, Sean Walker	Taylor Fedun	Mark Friedman, Sean Walker

Penalty Shots
Brendan Perlini, Vincent Hinostroza, Chris Wagner, Jordan Weal, Tyson Jost

Goalie
#1 : Laurent Brossoit, #2 : Jean-François Berube

Custom OT Lines Forwards
Brendan Perlini, Vincent Hinostroza, Chris Wagner, Jordan Weal, Tyson Jost, Stanislav Galiev, Stanislav Galiev, Maxime Comtois, Cole Caufield, Joel Kiviranta, Cody Glass

Custom OT Lines Defensemen
Brady Skjei, Jakob Chychrun, Sean Walker, Henri Jokiharju, Taylor Fedun

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	Avalanche	6	3	0	0	1	0	0	2	28	21	7	3	2	0	0	0	0	0	1	19	13	6	3	1	0	0	1	0	0	1	9	8	1	10	0.833	28	48	76	0	0	68	84	91	15	182	828	845	847	62	191	57	76	169	24	5	20.83%	23	5	78.26%	0	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
2	Blackhawks	6	1	3	0	0	1	0	1	14	24	-10	3	0	1	0	0	1	0	1	5	9	-4	3	1	2	0	0	0	0	0	9	15	-6	4	0.333	14	26	40	0	0	68	84	91	15	176	828	845	847	62	193	60	88	172	21	0	0.00%	34	8	76.47%	0	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
3	Blues	6	3	2	0	1	0	0	0	18	15	3	3	1	1	0	1	0	0	0	10	8	2	3	2	1	0	0	0	0	0	8	7	1	8	0.667	18	33	51	0	0	68	84	91	15	199	828	845	847	62	190	58	77	149	33	2	6.06%	31	8	74.19%	0	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
4	Bruins	4	1	1	0	2	0	0	0	11	9	2	2	1	0	0	1	0	0	0	7	5	2	2	0	1	0	1	0	0	0	4	4	0	6	0.750	11	17	28	0	0	68	84	91	15	130	828	845	847	62	131	43	6	113	8	1	12.50%	3	1	66.67%	0	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
5	Canadiens	2	2	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	4	3	1	4	1.000	6	10	16	0	0	68	84	91	15	59	828	845	847	62	53	19	10	45	6	0	0.00%	5	1	80.00%	0	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
6	Canucks	4	2	0	0	1	0	0	1	19	15	4	2	1	0	0	1	0	0	0	10	7	3	2	1	0	0	0	0	0	1	9	8	1	7	0.875	19	33	52	0	0	68	84	91	15	112	828	845	847	62	139	49	36	89	7	3	42.86%	18	5	72.22%	0	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
7	Capitals	2	1	0	0	0	1	0	0	7	6	1	1	1	0	0	0	0	0	0	3	1	2	1	0	0	0	0	1	0	0	4	5	-1	3	0.750	7	11	18	0	0	68	84	91	15	65	828	845	847	62	66	26	10	39	7	2	28.57%	5	0	100.00%	0	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
8	Devils	3	2	1	0	0	0	0	0	8	9	-1	2	2	0	0	0	0	0	0	7	5	2	1	0	1	0	0	0	0	0	1	4	-3	4	0.667	8	15	23	0	0	68	84	91	15	99	828	845	847	62	120	40	8	60	3	1	33.33%	4	0	100.00%	0	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
9	Ducks	4	1	2	0	1	0	0	0	11	11	0	2	1	0	0	1	0	0	0	7	5	2	2	0	2	0	0	0	0	0	4	6	-2	4	0.500	11	18	29	0	0	68	84	91	15	128	828	845	847	62	133	48	28	105	13	1	7.69%	14	0	100.00%	0	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
10	Flames	4	3	0	0	0	1	0	0	15	8	7	2	2	0	0	0	0	0	0	9	2	7	2	1	0	0	0	1	0	0	6	6	0	7	0.875	15	23	38	0	0	68	84	91	15	110	828	845	847	62	137	37	27	86	11	0	0.00%	10	0	100.00%	0	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
11	Flyers	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	1	2	4	1.000	6	11	17	0	0	68	84	91	15	66	828	845	847	62	66	25	8	45	2	0	0.00%	4	0	100.00%	0	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
12	Islanders	2	0	1	0	1	0	0	0	6	7	-1	1	0	0	0	1	0	0	0	5	4	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	6	11	17	0	0	68	84	91	15	72	828	845	847	62	75	26	10	49	3	1	33.33%	5	2	60.00%	0	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
13	Kings	4	1	2	0	0	0	1	0	11	10	1	2	1	0	0	0	0	1	0	7	4	3	2	0	2	0	0	0	0	0	4	6	-2	4	0.500	11	18	29	0	0	68	84	91	15	102	828	845	847	62	119	46	24	99	9	1	11.11%	12	2	83.33%	0	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
14	Maple Leafs	2	0	2	0	0	0	0	0	2	9	-7	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	2	3	5	0	0	68	84	91	15	65	828	845	847	62	75	24	25	40	2	0	0.00%	5	2	60.00%	0	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
15	Oilers	4	2	1	0	1	0	0	0	12	12	0	2	1	1	0	0	0	0	0	3	7	-4	2	1	0	0	1	0	0	0	9	5	4	6	0.750	12	22	34	0	0	68	84	91	15	113	828	845	847	62	114	41	35	107	11	2	18.18%	15	2	86.67%	1	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
16	Penguins	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	4	1	3	4	1.000	9	15	24	0	0	68	84	91	15	78	828	845	847	62	62	16	2	52	2	0	0.00%	1	1	0.00%	0	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
17	Predators	6	3	2	0	0	0	0	1	22	23	-1	3	2	0	0	0	0	0	1	11	7	4	3	1	2	0	0	0	0	0	11	16	-5	7	0.583	22	35	57	0	0	68	84	91	15	185	828	845	847	62	205	65	110	150	36	8	22.22%	30	4	86.67%	0	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
18	Rangers	2	1	0	0	0	0	1	0	13	9	4	1	1	0	0	0	0	0	0	8	5	3	1	0	0	0	0	0	1	0	5	4	1	4	1.000	13	19	32	0	0	68	84	91	15	74	828	845	847	62	53	11	4	39	6	2	33.33%	2	0	100.00%	0	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
19	Red Wings	2	0	2	0	0	0	0	0	1	9	-8	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	0	5	-5	0	0.000	1	2	3	0	0	68	84	91	15	53	828	845	847	62	68	26	2	45	3	0	0.00%	1	0	100.00%	0	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
20	Sabres	3	0	2	0	0	1	0	0	6	11	-5	1	0	1	0	0	0	0	0	1	2	-1	2	0	1	0	0	1	0	0	5	9	-4	1	0.167	6	12	18	0	0	68	84	91	15	104	828	845	847	62	103	37	6	64	5	1	20.00%	3	0	100.00%	0	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
21	Senateurs	2	0	2	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	4	7	11	1	0	68	84	91	15	65	828	845	847	62	68	22	8	53	4	1	25.00%	4	1	75.00%	0	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
22	Sharks	4	2	2	0	0	0	0	0	11	14	-3	2	2	0	0	0	0	0	0	7	4	3	2	0	2	0	0	0	0	0	4	10	-6	4	0.500	11	18	29	0	0	68	84	91	15	124	828	845	847	62	128	55	41	114	10	1	10.00%	19	5	73.68%	0	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
23	Wild	6	3	2	0	1	0	0	0	14	11	3	3	2	0	0	1	0	0	0	8	4	4	3	1	2	0	0	0	0	0	6	7	-1	8	0.667	14	24	38	0	0	68	84	91	15	195	828	845	847	62	172	71	46	161	16	0	0.00%	23	3	86.96%	0	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
	Total	82	35	27	0	9	4	2	5	254	252	2	41	23	7	0	6	1	1	3	142	110	32	41	12	20	0	3	3	1	2	112	142	-30	101	0.616	254	431	685	1	0	68	84	91	15	2556	828	845	847	62	2661	902	687	2045	242	32	13.22%	271	50	81.55%	1	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
	_Since Last GM Reset	82	35	27	0	9	4	2	5	254	252	2	41	23	7	0	6	1	1	3	142	110	32	41	12	20	0	3	3	1	2	112	142	-30	101	0.616	254	431	685	1	0	68	84	91	15	2556	828	845	847	62	2661	902	687	2045	242	32	13.22%	271	50	81.55%	1	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
	_Vs Conference	54	24	16	0	6	2	1	5	175	164	11	27	15	3	0	4	1	1	3	96	70	26	27	9	13	0	2	1	0	2	79	94	-15	69	0.639	175	298	473	0	0	68	84	91	15	1626	828	845	847	62	1721	587	588	1401	191	23	12.04%	229	42	81.66%	1	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
	_Vs Division	30	13	9	0	3	1	0	4	96	94	2	15	7	2	0	2	1	0	3	53	41	12	15	6	7	0	1	0	0	1	43	53	-10	37	0.617	96	166	262	0	0	68	84	91	15	937	828	845	847	62	951	311	397	801	130	15	11.54%	141	28	80.14%	0	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	101	L2	254	431	685	2556	2661	902	687	2045	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	35	27	9	4	2	5	254	252

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	23	7	6	1	1	3	142	110

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	12	20	3	3	1	2	112	142

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	6	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
242	32	13.22%	271	50	81.55%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
828	845	847	62	68	84	91	15

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1734	998	1828	750	1419	703

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	RI	Link
2 - 2021-10-16	5	Stars	3	Wild	1	AW			R5	BoxScore
4 - 2021-10-18	17	Wild	1	Stars	3	BW				BoxScore
7 - 2021-10-21	28	Stars	2	Avalanche	3	AL	X	X	R5	BoxScore
9 - 2021-10-23	40	Blackhawks	3	Stars	2	BL	X	X		BoxScore
12 - 2021-10-26	57	Stars	1	Blues	2	AL			R5	BoxScore
14 - 2021-10-28	67	Blues	1	Stars	3	BW				BoxScore
17 - 2021-10-31	81	Canucks	3	Stars	5	BW			R2	BoxScore
20 - 2021-11-03	97	Predators	2	Stars	4	BW				BoxScore
24 - 2021-11-07	118	Stars	4	Predators	2	AW			R5	BoxScore
25 - 2021-11-08	122	Stars	3	Blackhawks	7	AL			R5	BoxScore
28 - 2021-11-11	134	Avalanche	6	Stars	5	BL	X	X	R5	BoxScore
31 - 2021-11-14	149	Predators	2	Stars	5	BW				BoxScore
34 - 2021-11-17	167	Stars	5	Canucks	6	AL	X	X	R2	BoxScore
35 - 2021-11-18	173	Avalanche	4	Stars	9	BW			R5	BoxScore
40 - 2021-11-23	193	Oilers	6	Stars	1	BL				BoxScore
42 - 2021-11-25	203	Stars	2	Sabres	5	AL				BoxScore
44 - 2021-11-27	215	Stars	3	Kings	4	AL			R2	BoxScore
45 - 2021-11-28	221	Rangers	5	Stars	8	BW				BoxScore
48 - 2021-12-01	231	Stars	3	Oilers	2	AW	X		R2	BoxScore
50 - 2021-12-03	245	Predators	3	Stars	2	BL	X	X	R5	BoxScore
52 - 2021-12-05	258	Stars	3	Predators	6	AL				BoxScore
54 - 2021-12-07	267	Capitals	1	Stars	3	BW				BoxScore
56 - 2021-12-09	278	Stars	3	Avalanche	2	AW	X		R5	BoxScore
57 - 2021-12-10	289	Stars	1	Maple Leafs	6	AL				BoxScore
59 - 2021-12-12	299	Ducks	2	Stars	3	BW	X		R2	BoxScore
62 - 2021-12-15	314	Bruins	3	Stars	4	BW	X			BoxScore
64 - 2021-12-17	323	Stars	0	Red Wings	5	AL				BoxScore
66 - 2021-12-19	334	Stars	3	Flyers	1	AW				BoxScore
70 - 2021-12-23	348	Oilers	1	Stars	2	BW			R2	BoxScore
72 - 2021-12-25	363	Islanders	4	Stars	5	BW	X			BoxScore
75 - 2021-12-28	379	Stars	3	Bruins	2	AW	X			BoxScore
77 - 2021-12-30	390	Bruins	2	Stars	3	BW				BoxScore
79 - 2022-01-01	401	Stars	4	Capitals	5	AL	X			BoxScore
82 - 2022-01-04	414	Sabres	2	Stars	1	BL				BoxScore
84 - 2022-01-06	421	Stars	3	Sabres	4	AL	X			BoxScore
87 - 2022-01-09	438	Senateurs	5	Stars	3	BL				BoxScore
89 - 2022-01-11	452	Stars	4	Canucks	2	AW			R2	BoxScore
91 - 2022-01-13	460	Stars	4	Penguins	1	AW				BoxScore
92 - 2022-01-14	468	Flyers	2	Stars	3	BW				BoxScore
95 - 2022-01-17	483	Stars	2	Blackhawks	7	AL			R5	BoxScore
97 - 2022-01-19	494	Canucks	4	Stars	5	BW	X		R2	BoxScore
99 - 2022-01-21	507	Penguins	3	Stars	5	BW				BoxScore
101 - 2022-01-23	520	Stars	1	Wild	3	AL			R5	BoxScore
104 - 2022-01-26	534	Wild	1	Stars	2	BW	X			BoxScore
107 - 2022-01-29	553	Stars	4	Blackhawks	1	AW			R5	BoxScore
108 - 2022-01-30	558	Wild	2	Stars	3	BW			R5	BoxScore
112 - 2022-02-03	578	Red Wings	4	Stars	1	BL				BoxScore
114 - 2022-02-05	591	Stars	4	Flames	3	AW			R2	BoxScore
116 - 2022-02-07	601	Stars	1	Bruins	2	AL				BoxScore
117 - 2022-02-08	607	Avalanche	3	Stars	5	BW			R5	BoxScore
121 - 2022-02-12	627	Flames	1	Stars	5	BW			R2	BoxScore
123 - 2022-02-14	638	Stars	2	Flames	3	AL	X			BoxScore
125 - 2022-02-16	651	Flames	1	Stars	4	BW			R2	BoxScore
127 - 2022-02-18	666	Stars	1	Kings	2	AL			R2	BoxScore
129 - 2022-02-20	676	Devils	2	Stars	3	BW				BoxScore
131 - 2022-02-22	685	Stars	1	Devils	4	AL				BoxScore
133 - 2022-02-24	698	Maple Leafs	3	Stars	1	BL				BoxScore
134 - 2022-02-25	705	Stars	4	Canadiens	3	AW				BoxScore
137 - 2022-02-28	722	Stars	4	Blues	3	AW			R5	BoxScore
138 - 2022-03-01	727	Ducks	3	Stars	4	BW			R2	BoxScore
141 - 2022-03-04	745	Canadiens	1	Stars	2	BW				BoxScore
143 - 2022-03-06	754	Stars	6	Oilers	3	AW			R2	BoxScore
145 - 2022-03-08	770	Sharks	2	Stars	4	BW			R2	BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2022-03-12	785	Stars	3	Blues	2	AW				BoxScore
150 - 2022-03-13	792	Devils	3	Stars	4	BW				BoxScore
153 - 2022-03-16	806	Stars	1	Senateurs	3	AL				BoxScore
155 - 2022-03-18	819	Sharks	2	Stars	3	BW			R2	BoxScore
156 - 2022-03-19	825	Stars	2	Wild	3	AL				BoxScore
158 - 2022-03-21	836	Stars	5	Rangers	4	AW	X	X		BoxScore
161 - 2022-03-24	846	Kings	2	Stars	3	BW	X	X	R2	BoxScore
164 - 2022-03-27	865	Blackhawks	4	Stars	2	BL				BoxScore
165 - 2022-03-28	872	Stars	2	Sharks	4	AL			R2	BoxScore
167 - 2022-03-30	876	Stars	2	Ducks	3	AL				BoxScore
169 - 2022-04-01	893	Kings	2	Stars	4	BW			R2	BoxScore
171 - 2022-04-03	901	Stars	4	Avalanche	3	AW				BoxScore
174 - 2022-04-06	914	Blues	3	Stars	4	BW	X		R5	BoxScore
175 - 2022-04-07	922	Stars	2	Sharks	6	AL			R2	BoxScore
177 - 2022-04-09	933	Stars	1	Islanders	3	AL				BoxScore
180 - 2022-04-12	945	Blues	4	Stars	3	BL			R5	BoxScore
185 - 2022-04-17	962	Blackhawks	2	Stars	1	BL	X			BoxScore
187 - 2022-04-19	967	Stars	2	Ducks	3	AL			R2	BoxScore
188 - 2022-04-20	970	Stars	4	Predators	8	AL				BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	25
Attendance	79,798	39,789
Attendance PCT	97.31%	97.05%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2917 - 97.23%	124,715$	5,113,327$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
3,285,306$	2,538,166$	1,423,166$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
13,289$	2,489,577$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	1	17,477$	17,477$

Stars Stat Leaders (Regular Season)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS
1	Brendan Perlini	240	120	133	253	-12	167	519	450	960	12.50%	145	4849	20.21	26	27	53	138	1	3	4	13	16	12	48.41%	4	1.04	4	22
2	Vincent Hinostroza	224	101	135	236	12	26	334	505	666	15.17%	117	4455	19.89	25	44	69	96	3	0	3	13	13	3	47.04%	0	1.06	5	20
3	Stanislav Galiev	246	63	92	155	-12	437	542	296	649	9.71%	70	4033	16.40	4	5	9	20	0	0	0	0	14	4	45.76%	0	0.77	0	2
4	Chris Wagner	246	45	100	145	11	221	516	596	415	10.84%	127	4463	18.14	5	12	17	28	2	1	3	11	9	3	52.83%	0	0.65	3	10
5	Tyson Jost	246	75	64	139	28	65	320	330	692	10.84%	74	4393	17.86	4	9	13	46	0	0	0	18	2	14	40.38%	1	0.63	2	6

Stars Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Laurent Brossoit	192	93	64	25	0.906	2.97	11029	8	0	545	5768	2410	14	2	0.671	73
2	Jean-François Berube	75	34	23	7	0.891	3.65	3900	8	0	237	2171	989	1	1	0.455	11

Stars Career Team Stats

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
Regular Season
12	82	35	26	0	0	4	8	9	330	301	29	41	18	13	0	0	2	3	5	171	157	14	41	17	13	0	0	2	5	4	159	144	15	70	330	538	868	1	0	82	115	125	14	3059	922	1049	1058	82	2963	982	874	2193	309	62	20.06%	315	66	79.05%	5	1176	2171	54.17%	1148	2128	53.95%	721	1346	53.57%	1739	964	1799	784	1472	733
15	82	33	33	0	1	7	1	7	270	298	-28	41	17	16	0	1	4	0	3	137	128	9	41	16	17	0	0	3	1	4	133	170	-37	84	270	458	728	1	0	91	83	94	9	2534	822	838	851	55	2620	877	864	2234	240	51	21.25%	291	70	75.95%	5	965	1921	50.23%	957	1938	49.38%	602	1228	49.02%	1802	1086	1806	723	1365	675
16	82	35	27	0	9	4	2	5	254	252	2	41	23	7	0	6	1	1	3	142	110	32	41	12	20	0	3	3	1	2	112	142	-30	101	254	431	685	1	0	68	84	91	15	2556	828	845	847	62	2661	902	687	2045	242	32	13.22%	271	50	81.55%	1	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
16	82	35	27	0	9	4	2	5	254	252	2	41	23	7	0	6	1	1	3	142	110	32	41	12	20	0	3	3	1	2	112	142	-30	101	254	431	685	1	0	68	84	91	15	2556	828	845	847	62	2661	902	687	2045	242	32	13.22%	271	50	81.55%	1	950	1916	49.58%	1010	2042	49.46%	571	1215	47.00%	1734	998	1828	750	1419	703
Total Regular Season	328	138	113	0	19	19	13	26	1108	1103	5	164	81	43	0	13	8	5	14	592	505	87	164	57	70	0	6	11	8	12	516	598	-82	356	1108	1858	2966	4	0	309	366	401	53	10705	3400	3577	3603	261	10905	3663	3112	8517	1033	177	17.13%	1148	236	79.44%	12	4041	7924	51.00%	4125	8150	50.61%	2465	5004	49.26%	7010	4047	7261	3008	5677	2816

Stars Stat Leaders (Play-Off)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Stars Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Stars
	GP: 82 \| W: 46 \| L: 27 \| OTL: 9 \| P: 101 GF: 254 \| GA: 252 \| PP%: 13.22% \| PK%: 81.55% GM : Guillaume Blanchet \| Morale : 70 \| Team Overall : 69