Canadian Hockey League

BigBadStars
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Depth
Career

Game Center
	Blues 13-6-0, 26pts	3	FINAL	4	Stars 3-4-0, 6pts

Team Stats
W5	Streak	OTL1
6-4-0	Home Record	1-2-0
7-2-0	Away Record	2-2-0
8-1-1	Last 10 Games	3-3-1
4.79	Goals Per Game	4.57
3.95	Goals Against Per Game	4.43
26.85%	Power Play Percentage	27.03%
72.55%	Penalty Kill Percentage	76.47%

Stars
3-4-0, 6pts

FINAL

Blues
13-6-0, 26pts

Team Stats
OTL1	Streak	W5
1-2-0	Home Record	6-4-0
2-2-0	Away Record	7-2-0
3-3-1	Last 10 Games	8-1-1
4.57	Goals Per Game	4.79
4.43	Goals Against Per Game	3.95
27.03%	Power Play Percentage	26.85%
76.47%	Penalty Kill Percentage	72.55%

Team Leaders
	Goals William Nylander 6	Assists Gustav Forsling 7

	Points William Nylander 12	Plus/Minus William Nylander 5

	Wins Jordan Binnington 3	Save Percentage Jordan Binnington 0.866

Team Stats
Goals For 32 4.57 GFG	Shots For 215 30.71 Avg	Power Play Percentage 27.0% 10 GF	Offensive Zone Start 39.5%
Goals Against 31 4.43 GAA	Shots Against 231 33.00 Avg	Penalty Kill Percentage 76.5% 8 GA	Defensive Zone Start 39.8%

Injury / Suspension
No Injury or Suspension.

Team Info
	General Manager	Stephane Champagne
	Coach	Don Granato
	Division	Central
	Conference	Western
	Captain
	Assistant #1
	Assistant #2
Uniforms

Arena Info
	Name	Coors Light Field
	Capacity	25,000
	Attendance	20,170
	Season Tickets	10,000
Roster Info
	Pro Team	24
	Farm Team	21
	Contract Limit	45 / 50
	Prospects	27
Salary Cap
	Estimated Season Salary Cap	0$
	Available Salary Cap	85,000,000$
	Special Salary Cap Value	0$
	Players In Salary Cap	24
Finance
	Year to Date Revenue	5,979,850$
	Year To Date Expenses	0$
	Estimated Season Revenue	0$
	Estimated Season Expenses	0$
	Current Bank Account	74,322,786$
	Projected Bank Account	74,322,786$
Team History
	This Season	3-4
	History	781-721-135 (0.477%)
	Playoff Appearances	10
	Playoff Record (W-L)	32-48
	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	William Nylander			X		100.00	49	49	84	97	62	88	99	94	82	98	90	78	58	80	84	50	59	83	0	28	2	1$
2	Adrian Kempe			X		100.00	74	50	71	92	65	86	96	85	40	90	80	83	85	80	83	50	62	80	0	28	2	7,000,000$
3	Blake Coleman	X				100.00	78	52	71	88	59	83	96	73	40	65	82	96	65	90	87	25	57	76	0	33	2	5,000,000$
4	Brock Boeser			X		100.00	56	51	87	90	67	86	98	82	40	73	90	69	62	78	82	55	70	76	0	27	3	7,000,000$
5	Jared McCann		X			100.00	53	50	82	89	59	82	98	77	83	74	80	77	63	80	81	50	47	75	0	28	1	4,000,000$
6	Quinton Byfield	X				100.00	59	60	80	82	84	82	98	73	81	76	71	72	65	68	75	80	61	73	0	22	6	6,000,000$
7	Owen Tippett			X		100.00	84	52	87	86	68	82	96	73	40	66	79	71	40	74	78	65	62	72	0	25	5	6,000,000$
8	Juraj Slafkovsky		X			100.00	83	61	77	81	82	84	99	70	40	70	70	71	65	64	74	90	61	72	0	20	2	925,000$
9	Scott Laughton	X				100.00	84	50	73	83	59	81	99	65	84	66	63	81	40	84	83	40	50	71	0	30	1	3,000,000$
10	Connor Zary	X				100.00	51	43	83	86	50	80	86	67	79	66	68	70	40	70	75	75	50	68	0	23	1	925,000$
11	Joseph Blandisi		X			100.00	69	44	59	82	53	79	69	60	70	60	59	70	40	84	82	40	47	65	0	30	1	575,000$
12	Gustav Forsling				X	100.00	73	50	79	85	59	87	97	68	40	70	66	95	40	80	84	50	62	77	0	28	2	5,000,000$
13	Ryan Pulock				X	100.00	80	54	86	78	73	87	83	60	40	60	61	83	40	84	86	40	60	74	0	30	2	7,000,000$
14	Jake Sanderson				X	100.00	55	54	84	82	67	89	97	67	40	69	66	85	40	68	79	80	63	74	0	22	2	925,000$
15	Kaiden Guhle				X	100.00	79	57	74	78	68	84	91	60	40	59	61	82	40	68	76	80	56	72	0	22	2	925,000$
16	Braden Schneider				X	100.00	88	54	86	76	73	76	99	56	40	54	58	77	40	70	73	75	63	71	0	23	1	925,000$
17	Samuel Girard				X	100.00	70	39	87	83	42	82	83	59	40	61	56	80	40	76	79	60	35	69	0	26	3	5,000,000$
18	Jamie Drysdale				X	100.00	58	44	85	82	52	82	66	59	40	57	61	61	40	68	75	80	19	63	0	22	1	3,750,000$
Scratches
1	Tanner Jeannot			X		100.00	99	81	63	75	75	75	81	55	71	50	60	64	40	78	77	55	20	64	0	27	1	3,300,000$
2	Matthew Martin		X			100.00	99	73	75	75	75	70	82	51	40	46	56	66	40	94	82	15	58	63	0	35	1	575,000$
3	Damon Severson				X	100.00	56	54	75	81	66	85	89	65	40	63	67	80	76	84	85	40	53	72	0	30	1	5,500,000$
Farm Team
1	Cameron Hughes		X			100.00	57	54	74	82	52	78	68	59	40	58	60	70	73	80	79	50	63	64	0	28	1	575,000$
2	Brendan Brisson	X				100.00	60	46	87	85	57	75	53	67	40	73	61	60	40	70	73	75	55	64	0	23	2	925,000$
3	Carson Meyer			X		100.00	99	43	87	78	51	70	53	51	40	46	56	62	40	78	74	55	28	59	0	27	1	575,000$
4	Waltteri Merela (R)			X		100.00	79	54	86	75	72	71	56	47	40	40	54	71	40	76	74	60	80	59	0	26	1	575,000$
5	Austin Rueschhoff			X		100.00	99	58	71	75	90	76	66	42	40	36	48	53	40	78	77	55	79	58	0	27	1	575,000$
6	Tim Gettinger		X			100.00	88	63	83	75	83	64	54	44	40	39	48	59	60	76	70	60	70	57	0	26	1	1,100,000$
7	Tyler Madden		X			100.00	50	45	85	76	44	80	70	45	40	42	47	69	65	74	77	65	80	57	0	25	1	1,100,000$
8	Justin Richards	X				100.00	64	45	80	75	54	67	57	36	70	33	40	57	40	76	72	60	80	52	0	26	1	825,000$
9	Kirill Maksimov			X		100.00	46	66	88	75	64	60	50	33	40	25	40	50	90	74	67	65	26	49	0	25	1	1,120,000$
10	German Rubtsov	X				100.00	46	46	90	75	56	60	50	32	70	28	36	50	40	76	68	60	80	49	0	26	1	1,430,000$
11	Jacob Bernard-Docker				X	100.00	60	49	83	78	56	76	92	54	40	51	57	77	40	72	74	70	55	67	0	24	1	1,500,000$
12	Urho Vaakanainen				X	100.00	59	50	82	76	65	79	89	54	40	56	52	76	40	74	77	65	80	67	0	25	1	1,240,000$
13	Matthew Kessel				X	100.00	64	52	84	75	68	77	70	53	40	53	53	77	40	72	75	70	80	66	0	24	1	825,000$
14	Pierre-Olivier Joseph				X	100.00	61	47	85	77	58	75	79	54	40	54	55	70	40	74	75	65	80	65	0	25	1	1,375,000$
15	Josh Mahura				X	100.00	71	47	77	80	58	71	64	57	40	65	50	65	40	76	74	60	80	65	0	26	1	1,500,000$
16	Cam Dineen				X	100.00	55	44	84	75	54	62	57	44	40	48	41	58	40	76	69	60	56	57	0	26	1	1,240,000$
17	Jared McIsaac				X	100.00	71	60	86	75	62	55	50	36	40	36	36	57	40	72	64	70	54	56	0	24	1	1,017,500$
18	Vincent Marleau			X		100.00	60	55	83	75	64	60	50	29	40	27	32	53	40	74	67	65	48	48	0	25	1	575,000$

	TEAM AVERAGE					100.00	69	52	81	80	63	77	78	58	48	56	59	70	49	76	77	60	59	66

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	Jordan Binnington	100.00	91	99	99	83	86	81	79	78	81	87	92	86	84	35	53	83	0	31	3	6,000,000$
2	Mackenzie Blackwood	100.00	79	84	86	99	67	71	65	65	71	69	86	80	76	50	81	74	0	28	2	3,000,000$
Scratches
1	Casey DeSmith	100.00	86	65	67	82	65	67	70	68	68	70	86	90	79	25	22	71	0	33	2	2,000,000$
Farm Team
1	Cayden Primeau	100.00	89	58	60	93	85	77	79	81	78	80	91	74	76	65	81	77	0	25	1	1,210,000$
2	Drew Commesso (R)	100.00	87	66	70	85	58	57	52	51	50	56	50	68	63	80	64	61	0	22	2	750,000$
3	Olivier Rodrigue	100.00	81	65	69	78	55	57	56	57	56	55	60	72	65	70	37	61	0	24	1	1,017,500$

	TEAM AVERAGE	100.00	86	73	75	87	69	68	67	67	67	70	78	78	74	54	56	71

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Don Granato	79	89	77	77	86	50	58	USA	57	4	3,000,000$

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	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	FL	FT	S1	S2	S3
1	William Nylander	Stars	RW	7	6	6	12	5	0	0	2	13	27	8	24	22.22%	0	131	18.82	3	1	4	5	28	0	0	0	1	25.00%	8	1	1.82	0	0	1	0	2
2	Jared McCann	Stars	LW	7	4	6	10	5	0	0	2	7	17	5	10	23.53%	2	163	23.32	1	1	2	3	21	0	20	1	0	56.25%	16	0	1.23	0	0	1	0	0
3	Adrian Kempe	Stars	RW	7	3	6	9	-1	4	0	8	12	28	10	21	10.71%	1	126	18.00	1	3	4	10	23	0	3	1	0	33.33%	12	0	1.43	0	0	1	0	0
4	Blake Coleman	Stars	C	7	5	4	9	5	12	0	22	13	23	7	25	21.74%	1	152	21.74	2	1	3	5	20	0	25	0	0	27.57%	243	0	1.18	0	0	0	1	0
5	Gustav Forsling	Stars	D	7	1	7	8	5	8	0	11	8	14	3	11	7.14%	9	181	25.92	1	1	2	9	28	0	25	0	0	0.00%	0	0	0.88	0	0	0	0	1
6	Damon Severson	Stars	D	6	2	4	6	1	2	0	4	2	10	2	1	20.00%	8	111	18.56	1	1	2	5	16	0	18	0	0	0.00%	0	0	1.08	0	0	0	0	1
7	Quinton Byfield	Stars	C	7	3	3	6	-2	0	0	1	16	21	3	12	14.29%	4	146	20.92	1	2	3	3	24	1	19	1	1	49.43%	176	0	0.82	0	0	0	0	1
8	Juraj Slafkovsky	Stars	LW	7	0	5	5	-2	13	5	18	4	14	2	7	0.00%	0	138	19.79	0	2	2	3	24	0	16	0	0	10.00%	10	0	0.72	0	1	0	0	0
9	Kaiden Guhle	Stars	D	7	1	4	5	-3	10	0	14	3	2	2	2	50.00%	8	113	16.23	0	1	1	1	8	0	10	0	0	0.00%	0	0	0.88	0	0	0	0	0
10	Brock Boeser	Stars	RW	7	3	1	4	-4	0	0	4	12	25	9	22	12.00%	2	100	14.40	0	0	0	1	9	0	0	0	0	40.00%	5	0	0.79	0	0	0	1	0
11	Scott Laughton	Stars	C	7	1	3	4	-4	2	0	10	10	6	3	8	16.67%	1	102	14.70	0	1	1	2	8	0	12	0	0	52.21%	113	0	0.78	0	0	0	0	0
12	Jake Sanderson	Stars	D	7	0	3	3	3	4	0	7	8	5	3	6	0.00%	11	152	21.76	0	1	1	5	23	0	25	0	0	0.00%	0	0	0.39	0	0	0	0	0
13	Connor Zary	Stars	C	7	1	1	2	0	0	0	0	1	3	1	0	33.33%	0	29	4.18	0	0	0	0	1	0	5	0	0	31.03%	29	0	1.37	0	0	0	0	0
14	Samuel Girard	Stars	D	7	0	2	2	-2	0	0	1	2	0	1	0	0.00%	5	33	4.83	0	0	0	0	0	0	2	0	0	0.00%	0	0	1.18	0	0	0	0	0
15	Braden Schneider	Stars	D	7	0	1	1	-7	13	5	16	0	2	0	3	0.00%	6	93	13.31	0	0	0	0	2	0	4	0	0	0.00%	0	0	0.21	0	1	0	0	0
16	Joseph Blandisi	Stars	LW	7	1	0	1	-4	6	0	7	5	3	1	4	33.33%	1	88	12.69	0	0	0	0	1	0	2	0	0	50.00%	8	0	0.23	0	0	0	0	0
17	Owen Tippett	Stars	RW	7	1	0	1	0	2	0	6	2	7	1	4	14.29%	0	33	4.83	0	0	0	0	0	1	7	0	0	66.67%	3	0	0.59	0	0	0	0	0
18	Ryan Pulock	Stars	D	7	0	1	1	1	11	5	17	5	8	6	4	0.00%	11	162	23.28	0	0	0	2	27	0	26	0	0	0.00%	0	0	0.12	1	0	0	0	0
19	Jamie Drysdale	Stars	D	1	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	3	3.78	0	0	0	0	1	0	0	0	0	0.00%	0	0	0.00	0	0	0	0	0
Team Total or Average				126	32	57	89	-4	87	15	150	123	215	67	164	14.88%	70	2066	16.40	10	15	25	54	269	2	227	3	2	39.49%	623	1	0.86	1	2	3	2	5

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Jordan Binnington	Stars	7	3	3	1	0.866	4.37	426	2	0	31	231	0	0	0	0.000	0	7	0	0	0	0
Team Total or Average			7	3	3	1	0.866	4.37	426	2	0	31	231	0	0	0	0.000	0	7	0	0	0	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	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	2038	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	2039	2040	2041	2042	2043	2044	Link
Adrian Kempe	Stars	RW	28	1996-09-13	No	200 Lbs	6 ft2	No	No	Yes	2	Pro Only	7,000,000$	7,000,000$	857,143$	No	7,000,000$	UFA					Link / NHL Link
Blake Coleman	Stars	C	33	1991-11-28	No	199 Lbs	5 ft11	No	No	Yes	2	Pro Only	5,000,000$	5,000,000$	612,245$	No	5,000,000$	UFA					Link / NHL Link
Braden Schneider	Stars	D	23	2001-09-20	No	211 Lbs	6 ft3	No	No	No	1	Pro & Farm	925,000$	925,000$	113,265$	No	RFA						Link / NHL Link
Brock Boeser	Stars	RW	27	1997-02-25	No	208 Lbs	6 ft1	No	No	Yes	3	Pro Only	7,000,000$	7,000,000$	857,143$	No	7,000,000$	7,000,000$	UFA				Link / NHL Link
Casey DeSmith	Stars	G	33	1991-08-13	No	180 Lbs	6 ft0	Yes	No	No	2	Pro & Farm	2,000,000$	2,000,000$	244,898$	No	2,000,000$	UFA					Link / NHL Link
Connor Zary	Stars	C	23	2001-09-25	No	178 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	925,000$	113,265$	No	RFA						Link / NHL Link
Damon Severson	Stars	D	30	1994-08-07	No	202 Lbs	6 ft2	No	No	Yes	1	Pro Only	5,500,000$	5,500,000$	673,469$	No	UFA						Link / NHL Link
Gustav Forsling	Stars	D	28	1996-06-12	No	195 Lbs	6 ft0	No	No	Yes	2	Pro Only	5,000,000$	5,000,000$	612,245$	No	5,000,000$	UFA					Link / NHL Link
Jake Sanderson	Stars	D	22	2002-07-08	No	203 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	925,000$	113,265$	No	925,000$	RFA					Link / NHL Link
Jamie Drysdale	Stars	D	22	2002-04-08	No	185 Lbs	5 ft11	No	No	Yes	1	Pro & Farm	3,750,000$	3,750,000$	459,184$	No	RFA						Link / NHL Link
Jared McCann	Stars	LW	28	1996-05-31	No	191 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	4,000,000$	4,000,000$	489,796$	No	UFA						Link / NHL Link
Jordan Binnington	Stars	G	31	1993-07-11	No	173 Lbs	6 ft1	No	No	Yes	3	Pro Only	6,000,000$	6,000,000$	734,694$	No	6,000,000$	6,000,000$	UFA				Link / NHL Link
Joseph Blandisi	Stars	LW	30	1994-07-18	No	183 Lbs	6 ft0	No	No	No	1	Pro & Farm	575,000$	575,000$	70,408$	No	UFA						Link / NHL Link
Juraj Slafkovsky	Stars	LW	20	2004-03-30	No	230 Lbs	6 ft3	No	No	No	2	Pro & Farm	925,000$	925,000$	113,265$	No	925,000$	RFA					Link / NHL Link
Kaiden Guhle	Stars	D	22	2002-01-18	No	201 Lbs	6 ft3	No	No	No	2	Pro & Farm	925,000$	925,000$	113,265$	No	925,000$	RFA					Link / NHL Link
Mackenzie Blackwood	Stars	G	28	1996-12-09	No	224 Lbs	6 ft4	No	No	Yes	2	Pro & Farm	3,000,000$	3,000,000$	367,347$	No	3,000,000$	UFA					Link / NHL Link
Matthew Martin	Stars	LW	35	1989-05-08	No	215 Lbs	6 ft3	No	No	No	1	Pro & Farm	575,000$	575,000$	70,408$	No	UFA						Link / NHL Link
Owen Tippett	Stars	RW	25	1999-02-16	No	210 Lbs	6 ft1	No	No	Yes	5	Pro Only	6,000,000$	6,000,000$	734,694$	No	6,000,000$	6,000,000$	6,000,000$	6,000,000$	UFA		Link / NHL Link
Quinton Byfield	Stars	C	22	2002-08-19	No	225 Lbs	6 ft5	No	No	No	6	Pro Only	6,000,000$	6,000,000$	734,694$	No	6,000,000$	6,000,000$	6,000,000$	6,000,000$	6,000,000$	RFA	Link / NHL Link
Ryan Pulock	Stars	D	30	1994-10-06	No	216 Lbs	6 ft2	No	No	Yes	2	Pro Only	7,000,000$	7,000,000$	857,143$	No	7,000,000$	UFA					Link / NHL Link
Samuel Girard	Stars	D	26	1998-05-12	No	170 Lbs	5 ft10	No	No	Yes	3	Pro Only	5,000,000$	5,000,000$	612,245$	No	5,000,000$	5,000,000$	UFA				Link / NHL Link
Scott Laughton	Stars	C	30	1994-05-30	No	191 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	3,000,000$	3,000,000$	367,347$	No	UFA						Link / NHL Link
Tanner Jeannot	Stars	RW	27	1997-05-29	No	220 Lbs	6 ft2	No	No	Yes	1	Pro & Farm	3,300,000$	3,300,000$	404,082$	No	UFA						Link / NHL Link
William Nylander	Stars	RW	28	1996-05-01	No	202 Lbs	6 ft0	Yes	No	Yes	2	Pro Only	1$	1$	0$	No	9,500,000$	UFA					Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	27.13	201 Lbs	6 ft1	2.04	3,513,542$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
84,325,001$	71,275,000$	30,000,000$	12,000,000$	12,000,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jared McCann	Blake Coleman	William Nylander	40	1	2	2
2	Juraj Slafkovsky	Quinton Byfield	Adrian Kempe	30	1	2	2
3	Joseph Blandisi	Scott Laughton	Brock Boeser	20	1	2	2
4	Jared McCann	Connor Zary	Owen Tippett	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Gustav Forsling	Ryan Pulock	40	1	2	2
2	Jake Sanderson	Kaiden Guhle	30	1	2	2
3	Braden Schneider	Samuel Girard	20	1	2	2
4	Jamie Drysdale	Gustav Forsling	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jared McCann	Blake Coleman	William Nylander	60	1	2	2
2	Juraj Slafkovsky	Quinton Byfield	Adrian Kempe	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Gustav Forsling	Ryan Pulock	60	1	2	2
2	Jake Sanderson	Kaiden Guhle	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Blake Coleman	Owen Tippett	60	1	2	2
2	Quinton Byfield	Juraj Slafkovsky	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Gustav Forsling	Ryan Pulock	60	1	2	2
2	Jake Sanderson	Kaiden Guhle	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Blake Coleman	60	1	2	2	Gustav Forsling	Ryan Pulock	60	1	2	2
2	Quinton Byfield	40	1	2	2	Jake Sanderson	Kaiden Guhle	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Blake Coleman	Jared McCann	60	1	2	2
2	Quinton Byfield	Juraj Slafkovsky	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Gustav Forsling	Ryan Pulock	60	1	2	2
2	Jake Sanderson	Kaiden Guhle	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jared McCann	Blake Coleman	William Nylander	Gustav Forsling	Ryan Pulock

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jared McCann	Blake Coleman	William Nylander	Gustav Forsling	Ryan Pulock

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jared McCann, Quinton Byfield, Owen Tippett	Jared McCann, Quinton Byfield	Jared McCann

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Braden Schneider, Samuel Girard, Jamie Drysdale	Braden Schneider	Braden Schneider, Samuel Girard

Penalty Shots
William Nylander, Adrian Kempe, Brock Boeser, Blake Coleman, Jared McCann

Goalie
#1 : Jordan Binnington, #2 : Mackenzie Blackwood

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	Blues	7	3	4	0	0	0	0	0	32	31	1	3	1	2	0	0	0	0	0	9	13	-4	4	2	2	0	0	0	0	0	23	18	5	6	0.429	32	57	89	0	0	11	7	14	0	215	69	63	83	0	231	70	89	150	37	10	27.03%	34	8	76.47%	0	114	246	46.34%	87	248	35.08%	45	129	34.88%	162	112	174	53	90	43
	Total	7	3	4	0	0	0	0	0	32	31	1	3	1	2	0	0	0	0	0	9	13	-4	4	2	2	0	0	0	0	0	23	18	5	6	0.429	32	57	89	0	0	11	7	14	0	215	69	63	83	0	231	70	89	150	37	10	27.03%	34	8	76.47%	0	114	246	46.34%	87	248	35.08%	45	129	34.88%	162	112	174	53	90	43
	_Since Last GM Reset	7	3	4	0	0	0	0	0	32	31	1	3	1	2	0	0	0	0	0	9	13	-4	4	2	2	0	0	0	0	0	23	18	5	6	0.429	32	57	89	0	0	11	7	14	0	215	69	63	83	0	231	70	89	150	37	10	27.03%	34	8	76.47%	0	114	246	46.34%	87	248	35.08%	45	129	34.88%	162	112	174	53	90	43
	_Vs Conference	7	3	4	0	0	0	0	0	32	31	1	3	1	2	0	0	0	0	0	9	13	-4	4	2	2	0	0	0	0	0	23	18	5	6	0.429	32	57	89	0	0	11	7	14	0	215	69	63	83	0	231	70	89	150	37	10	27.03%	34	8	76.47%	0	114	246	46.34%	87	248	35.08%	45	129	34.88%	162	112	174	53	90	43
	_Vs Division	7	3	4	0	0	0	0	0	32	31	1	3	1	2	0	0	0	0	0	9	13	-4	4	2	2	0	0	0	0	0	23	18	5	6	0.429	32	57	89	0	0	11	7	14	0	215	69	63	83	0	231	70	89	150	37	10	27.03%	34	8	76.47%	0	114	246	46.34%	87	248	35.08%	45	129	34.88%	162	112	174	53	90	43

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
7	6	OTL1	32	57	89	215	231	70	89	150	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	4	0	0	0	0	32	31

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	9	13

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	23	18

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	3	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
37	10	27.03%	34	8	76.47%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
69	63	83	0	11	7	14	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
114	246	46.34%	87	248	35.08%	45	129	34.88%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
162	112	174	53	90	43

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	Link
2	5	Stars	6	Blues	8	AL		BoxScore
4	13	Stars	8	Blues	3	AW		BoxScore
6	21	Blues	6	Stars	2	BL		BoxScore
8	29	Blues	4	Stars	3	BL		BoxScore
10	37	Stars	5	Blues	2	AW		BoxScore
12	45	Blues	3	Stars	4	BW		BoxScore
14	53	Stars	4	Blues	5	AL	X	BoxScore

Depth Chart

Left Wing

Center

Right Wing

Jared McCann

AGE:28
SK:		89
EN:		82
DU:		98
PH:		77
PA:		74
SC:		80
DF:		77
Juraj Slafkovsky

AGE:20
SK:		81
EN:		84
DU:		99
PH:		70
PA:		70
SC:		70
DF:		71
Joseph Blandisi

AGE:30
SK:		82
EN:		79
DU:		69
PH:		60
PA:		60
SC:		59
DF:		70
Cameron Hughes

AGE:28
SK:		82
EN:		78
DU:		68
PH:		59
PA:		58
SC:		60
DF:		70
Matthew Martin

AGE:35
SK:		75
EN:		70
DU:		82
PH:		51
PA:		46
SC:		56
DF:		66
Tyler Madden

AGE:25
SK:		76
EN:		80
DU:		70
PH:		45
PA:		42
SC:		47
DF:		69
Tim Gettinger

AGE:26
SK:		75
EN:		64
DU:		54
PH:		44
PA:		39
SC:		48
DF:		59

Blake Coleman

AGE:33
SK:		88
EN:		83
DU:		96
PH:		73
PA:		65
SC:		82
DF:		96
Quinton Byfield

AGE:22
SK:		82
EN:		82
DU:		98
PH:		73
PA:		76
SC:		71
DF:		72
Scott Laughton

AGE:30
SK:		83
EN:		81
DU:		99
PH:		65
PA:		66
SC:		63
DF:		81
Connor Zary

AGE:23
SK:		86
EN:		80
DU:		86
PH:		67
PA:		66
SC:		68
DF:		70
Brendan Brisson

AGE:23
SK:		85
EN:		75
DU:		53
PH:		67
PA:		73
SC:		61
DF:		60
Justin Richards

AGE:26
SK:		75
EN:		67
DU:		57
PH:		36
PA:		33
SC:		40
DF:		57
German Rubtsov

AGE:26
SK:		75
EN:		60
DU:		50
PH:		32
PA:		28
SC:		36
DF:		50

William Nylander

AGE:28
SK:		97
EN:		88
DU:		99
PH:		94
PA:		98
SC:		90
DF:		78
Adrian Kempe

AGE:28
SK:		92
EN:		86
DU:		96
PH:		85
PA:		90
SC:		80
DF:		83
Brock Boeser

AGE:27
SK:		90
EN:		86
DU:		98
PH:		82
PA:		73
SC:		90
DF:		69
Owen Tippett

AGE:25
SK:		86
EN:		82
DU:		96
PH:		73
PA:		66
SC:		79
DF:		71
Tanner Jeannot

AGE:27
SK:		75
EN:		75
DU:		81
PH:		55
PA:		50
SC:		60
DF:		64
Waltteri Merela (R)

AGE:26
SK:		75
EN:		71
DU:		56
PH:		47
PA:		40
SC:		54
DF:		71
Carson Meyer

AGE:27
SK:		78
EN:		70
DU:		53
PH:		51
PA:		46
SC:		56
DF:		62
Austin Rueschhoff

AGE:27
SK:		75
EN:		76
DU:		66
PH:		42
PA:		36
SC:		48
DF:		53
Kirill Maksimov

AGE:25
SK:		75
EN:		60
DU:		50
PH:		33
PA:		25
SC:		40
DF:		50
Vincent Marleau

AGE:25
SK:		75
EN:		60
DU:		50
PH:		29
PA:		27
SC:		32
DF:		53

Defense #1

Defense #2

Goalie

Gustav Forsling

AGE:28
SK:		85
EN:		87
DU:		97
PH:		68
PA:		70
SC:		66
DF:		95
Jake Sanderson

AGE:22
SK:		82
EN:		89
DU:		97
PH:		67
PA:		69
SC:		66
DF:		85
Ryan Pulock

AGE:30
SK:		78
EN:		87
DU:		83
PH:		60
PA:		60
SC:		61
DF:		83
Kaiden Guhle

AGE:22
SK:		78
EN:		84
DU:		91
PH:		60
PA:		59
SC:		61
DF:		82
Damon Severson

AGE:30
SK:		81
EN:		85
DU:		89
PH:		65
PA:		63
SC:		67
DF:		80
Braden Schneider

AGE:23
SK:		76
EN:		76
DU:		99
PH:		56
PA:		54
SC:		58
DF:		77
Samuel Girard

AGE:26
SK:		83
EN:		82
DU:		83
PH:		59
PA:		61
SC:		56
DF:		80
Jacob Bernard-Docker

AGE:24
SK:		78
EN:		76
DU:		92
PH:		54
PA:		51
SC:		57
DF:		77

Urho Vaakanainen

AGE:25
SK:		76
EN:		79
DU:		89
PH:		54
PA:		56
SC:		52
DF:		76
Matthew Kessel

AGE:24
SK:		75
EN:		77
DU:		70
PH:		53
PA:		53
SC:		53
DF:		77
Pierre-Olivier Joseph

AGE:25
SK:		77
EN:		75
DU:		79
PH:		54
PA:		54
SC:		55
DF:		70
Josh Mahura

AGE:26
SK:		80
EN:		71
DU:		64
PH:		57
PA:		65
SC:		50
DF:		65
Jamie Drysdale

AGE:22
SK:		82
EN:		82
DU:		66
PH:		59
PA:		57
SC:		61
DF:		61
Cam Dineen

AGE:26
SK:		75
EN:		62
DU:		57
PH:		44
PA:		48
SC:		41
DF:		58
Jared McIsaac

AGE:24
SK:		75
EN:		55
DU:		50
PH:		36
PA:		36
SC:		36
DF:		57

Jordan Binnington

AGE:31
SK:		91
AG:		86
RB:		81
SC:		79
HS:		78
RT:		81
DF:		87
Cayden Primeau

AGE:25
SK:		89
AG:		85
RB:		77
SC:		79
HS:		81
RT:		78
DF:		80
Mackenzie Blackwood

AGE:28
SK:		79
AG:		67
RB:		71
SC:		65
HS:		65
RT:		71
DF:		69
Casey DeSmith

AGE:33
SK:		86
AG:		65
RB:		67
SC:		70
HS:		68
RT:		68
DF:		70
Drew Commesso (R)

AGE:22
SK:		87
AG:		58
RB:		57
SC:		52
HS:		51
RT:		50
DF:		56
Olivier Rodrigue

AGE:24
SK:		81
AG:		55
RB:		57
SC:		56
HS:		57
RT:		56
DF:		55

Prospects

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

Prospect	Team Name	Draft Year	Overall Pick
Ales Cech	Stars	2038	169
Ben Danford	Stars	2038	47
Brady Cleveland	Stars	2037	78
Cameron Lund	Stars	2036	48
Carter Berger	Stars	2033	137
Carter Yakemchuk	Stars	2038	14
Daimon Gardner	Stars	2036	141
Dominic James	Stars	2036	203
EJ Emery	Stars	2038	45
Easton Cowan	Stars	2037	41
Eemeli Rasanen	Stars	2031	69
Garrett Brown	Stars	2036	110
Hampton Slukynsky	Stars	2037	109
Jacob Julien	Stars	2037	171
Luke Tuch	Stars	2034	38
Maxim Mayorov	Stars	2036	172
Maxwell Gildon	Stars	2031	99
Mikhail Yegorov	Stars	2038	76
Olof Glifford	Stars	2037	202
Ondrej Kos	Stars	2038	107
Roman Bychkov	Stars	2033	197
Santeri Virtanen	Stars	2031	129
Theo Lindstein	Stars	2037	47
Tory Pitner	Stars	2038	200
Trevor Janicke	Stars	2033	167
Victor Johansson	Stars	2038	138
Vilmer Alriksson	Stars	2037	140

Draft Picks

Draft Picks
Year	R1	R2	R3	R4	R5	R6	R7
2039
2040
2041

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	Boyd Gordon	1356	198	340	538	-56	1008	1497	1544	1913	10.35%	821	21131	15.58	33	57	90	159	5	5	10	39	29	13	44.96%	2	0.51	2	8
2	William Nylander	419	183	248	431	63	41	96	750	1540	11.88%	78	9224	22.01	46	91	137	397	6	3	9	39	26	6	39.49%	5	0.93	8	18
3	Matt Moulson	474	200	225	425	-1	206	511	744	1738	11.51%	153	10110	21.33	56	70	126	345	4	5	9	35	34	11	32.21%	5	0.84	9	45
4	Jared McCann	401	189	214	403	7	137	411	800	1483	12.74%	70	7954	19.84	52	87	139	380	5	3	8	32	23	8	50.70%	3	1.01	5	10
5	Dustin Byfuglien	455	90	302	392	-40	1070	1396	695	1171	7.69%	582	11465	25.20	54	96	150	543	2	3	5	16	12	11	0.00%	0	0.68	0	0

Stars Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA
1	Jordan Binnington	232	114	88	15	0.883	3.67	12815	26	2	784	6694	9	2	0.649	37
2	Ilja Bryzgalov	253	108	110	20	0.897	3.20	14268	63	5	761	7422	12	3	0.708	72
3	Mackenzie Blackwood	234	108	88	21	0.894	3.42	12943	35	3	737	6934	10	2	0.732	71
4	Marc-Andre Fleury	184	97	70	14	0.901	2.94	10913	16	6	535	5387	8	6	0.766	128
5	Jonathan Bernier	171	77	67	10	0.903	3.07	9599	16	6	491	5058	7	3	0.704	54

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
2017	82	33	41	0	3	2	1	2	277	288	-11	41	13	23	0	2	1	1	1	119	145	-26	41	20	18	0	1	1	0	1	158	143	15	74	277	464	741	0	1	0	67	105	101	2685	0	852	880	943	2668	845	1171	1748	266	58	21.80%	252	50	80.16%	4	1013	2038	49.71%	984	1948	50.51%	730	1449	50.38%	1743	999	1894	827	1475	729
2018	82	30	34	0	2	2	10	4	248	261	-13	41	18	13	0	2	0	6	2	128	114	14	41	12	21	0	0	2	4	2	120	147	-27	66	248	396	644	1	2	0	61	105	70	2778	0	869	1001	872	2726	864	1161	1900	208	29	13.94%	222	37	83.33%	8	843	2112	39.91%	857	2145	39.95%	553	1452	38.09%	1667	933	1839	764	1493	726
2019	82	38	28	0	8	1	6	1	287	241	46	41	19	16	0	2	1	2	1	143	128	15	41	19	12	0	6	0	4	0	144	113	31	93	287	471	758	5	1	0	77	100	96	2891	0	981	966	906	2718	875	968	1778	236	43	18.22%	171	21	87.72%	1	925	2200	42.05%	918	2116	43.38%	509	1298	39.21%	1738	1020	1797	750	1442	704
2020	82	19	46	0	4	3	3	7	236	283	-47	41	9	26	0	2	0	2	2	127	145	-18	41	10	20	0	2	3	1	5	109	138	-29	49	236	388	624	8	0	0	64	76	89	2747	0	900	942	879	2738	904	1106	1856	209	33	15.79%	251	57	77.29%	5	876	2220	39.46%	896	2182	41.06%	508	1295	39.23%	1687	944	1805	754	1485	730
2021	82	32	35	0	2	7	3	3	242	254	-12	41	14	19	0	1	4	1	2	112	126	-14	41	18	16	0	1	3	2	1	130	128	2	75	242	433	675	2	2	0	92	64	81	2393	0	788	819	763	2394	737	865	1686	448	86	19.20%	380	69	81.84%	3	1542	2924	52.74%	1426	2873	49.63%	648	1275	50.82%	2035	1416	1914	607	1023	516
2022	82	39	34	0	5	2	2	0	261	247	14	41	21	16	0	3	1	0	0	136	128	8	41	18	18	0	2	1	2	0	125	119	6	90	261	462	723	2	4	0	92	88	74	2684	0	847	923	896	2509	722	963	1716	471	103	21.87%	385	76	80.26%	3	1693	3180	53.24%	1502	2972	50.54%	632	1260	50.16%	2050	1436	1882	602	1008	515
2023	82	30	32	0	6	1	7	6	274	270	4	41	17	13	0	4	1	4	2	147	126	21	41	13	19	0	2	0	3	4	127	144	-17	73	274	475	749	1	2	0	94	77	90	2439	0	837	786	790	2678	813	1129	1823	434	95	21.89%	481	99	79.42%	3	1361	2887	47.14%	1416	3159	44.82%	613	1311	46.76%	1935	1319	2032	624	1030	508
2024	82	26	45	0	2	2	4	3	213	280	-67	41	10	24	0	2	1	1	3	98	144	-46	41	16	21	0	0	1	3	0	115	136	-21	69	213	374	587	0	2	0	83	73	51	2354	0	756	831	750	2656	772	988	1813	410	65	15.85%	422	89	78.91%	3	1301	2892	44.99%	1368	3059	44.72%	614	1275	48.16%	1959	1354	1997	610	1005	498
2025	82	41	31	0	2	3	1	4	295	287	8	41	19	15	0	1	1	1	4	146	150	-4	41	22	16	0	1	2	0	0	149	137	12	95	295	515	810	0	1	0	108	100	84	2586	0	857	906	806	2557	704	810	1672	456	113	24.78%	367	86	76.57%	4	1577	2957	53.33%	1438	2856	50.35%	707	1363	51.87%	2069	1454	1869	593	1018	521
2026	82	21	48	0	1	4	3	5	229	316	-87	41	9	26	0	0	2	0	4	111	160	-49	41	12	22	0	1	2	3	1	118	156	-38	59	229	415	644	4	3	0	97	63	65	2451	0	821	807	804	2827	830	922	1652	415	83	20.00%	372	90	75.81%	3	1454	2887	50.36%	1419	3070	46.22%	661	1312	50.38%	1913	1321	2037	610	1014	502
2027	82	28	37	0	2	5	4	6	215	251	-36	41	19	14	0	2	2	2	2	123	121	2	41	9	23	0	0	3	2	4	92	130	-38	79	215	371	586	2	3	0	68	82	59	2304	0	718	771	793	2603	754	882	1706	440	76	17.27%	367	73	80.11%	1	1392	2794	49.82%	1433	3088	46.41%	649	1248	52.00%	1895	1294	2051	623	1031	507
2030	82	24	40	0	5	4	3	6	218	260	-42	41	13	19	0	4	1	1	3	119	131	-12	41	11	21	0	1	3	2	3	99	129	-30	74	218	378	596	1	1	0	81	59	70	2341	0	777	790	741	2647	812	933	1759	437	84	19.22%	411	89	78.35%	4	1407	2890	48.69%	1413	3185	44.36%	580	1292	44.89%	1877	1262	2078	633	1037	504
2031	82	33	37	0	2	1	4	5	241	258	-17	41	18	16	0	1	1	3	2	125	121	4	41	15	21	0	1	0	1	3	116	137	-21	84	241	430	671	0	1	0	106	65	64	2474	0	804	840	814	2564	736	891	1733	421	82	19.48%	366	87	76.23%	1	1499	2978	50.34%	1418	2970	47.74%	655	1311	49.96%	1979	1368	1964	613	1026	510
2032	82	27	33	0	2	1	14	5	249	250	-1	41	18	12	0	1	1	6	3	137	120	17	41	9	21	0	1	0	8	2	112	130	-18	92	249	433	682	4	2	0	109	66	58	2344	0	807	758	741	2665	767	868	1662	404	75	18.56%	364	59	83.79%	4	1402	2777	50.49%	1572	3162	49.72%	658	1322	49.77%	2008	1387	1966	623	1047	524
2033	82	30	35	0	2	4	4	7	278	295	-17	41	18	16	0	1	1	1	4	138	127	11	41	12	19	0	1	3	3	3	140	168	-28	83	278	495	773	2	1	0	97	79	96	2707	0	913	882	880	2663	809	1008	1774	413	84	20.34%	406	94	76.85%	2	1531	3079	49.72%	1460	3079	47.42%	705	1370	51.46%	1919	1307	2018	626	1050	521
2034	82	38	26	0	2	7	4	5	313	280	33	41	20	13	0	0	6	1	1	168	152	16	41	18	13	0	2	1	3	4	145	128	17	100	313	552	865	0	2	0	114	104	89	2996	0	986	997	965	2695	718	968	1878	432	101	23.38%	403	71	82.38%	5	1636	3292	49.70%	1360	3040	44.74%	629	1396	45.06%	1965	1345	1977	615	1039	520
2035	82	41	36	0	0	2	2	1	301	284	17	41	25	13	0	0	2	1	0	163	125	38	41	16	23	0	0	0	1	1	138	159	-21	89	301	537	838	1	0	0	113	99	87	2567	0	870	803	885	2616	799	949	1789	408	88	21.57%	393	80	79.64%	2	1312	2952	44.44%	1262	2980	42.35%	539	1363	39.55%	1961	1361	1966	602	1015	508
2036	82	40	35	0	2	2	1	2	312	325	-13	41	19	17	0	1	1	1	2	156	159	-3	41	21	18	0	1	1	0	0	156	166	-10	90	312	556	868	0	1	0	116	114	79	2890	0	919	1019	931	2617	726	970	1771	393	74	18.83%	387	90	76.74%	8	1614	3138	51.43%	1303	2779	46.89%	657	1386	47.40%	1979	1371	1932	602	1036	519
2037	82	32	38	0	4	5	1	2	338	330	8	41	15	20	0	1	2	1	2	157	161	-4	41	17	18	0	3	3	0	0	181	169	12	81	338	614	952	3	1	135	113	85	7	2932	987	966	946	45	2553	756	917	1848	451	99	21.95%	391	102	73.91%	5	1457	3085	47.23%	1239	2756	44.96%	651	1409	46.20%	1995	1395	1935	594	1027	522
2038	82	39	30	0	4	5	3	1	308	277	31	41	17	16	0	3	4	1	0	146	143	3	41	22	14	0	1	1	2	1	162	134	28	98	308	530	838	0	1	107	105	89	13	2734	900	941	862	51	2610	715	1008	1842	420	92	21.90%	440	92	79.09%	8	1320	3056	43.19%	1331	3066	43.41%	564	1327	42.50%	1979	1361	1956	615	1019	511
Total Regular Season	1640	641	721	0	60	63	80	75	5335	5537	-202	820	331	347	0	33	33	36	40	2699	2726	-27	820	310	374	0	27	30	44	35	2636	2811	-175	1613	5335	9289	14624	36	31	242	1857	1693	1423	52297	1887	17209	17529	15255	52704	15658	19477	35406	7772	1563	20.11%	7231	1511	79.10%	77	27155	56338	48.20%	26015	56485	46.06%	12462	26714	46.65%	38360	25656	38919	12896	22329	11106
Playoff
2019	13	7	6	0	0	0	0	0	46	32	14	6	2	4	0	0	0	0	0	18	17	1	7	5	2	0	0	0	0	0	28	15	13	14	46	76	122	0	0	0	11	19	15	464	0	158	163	136	427	140	204	290	34	7	20.59%	31	1	96.77%	0	166	360	46.11%	126	314	40.13%	61	200	30.50%	276	160	284	117	228	110
2022	7	3	4	0	0	0	0	0	27	27	0	3	2	1	0	0	0	0	0	13	9	4	4	1	3	0	0	0	0	0	14	18	-4	6	27	52	79	0	0	0	8	10	9	235	0	69	90	76	249	84	76	136	38	6	15.79%	32	4	87.50%	0	129	296	43.58%	129	276	46.74%	61	126	48.41%	174	119	157	49	88	45
2023	4	0	4	0	0	0	0	0	7	19	-12	2	0	2	0	0	0	0	0	5	9	-4	2	0	2	0	0	0	0	0	2	10	-8	0	7	14	21	0	0	0	4	1	2	95	0	36	30	29	179	44	73	97	19	3	15.79%	34	7	79.41%	0	57	122	46.72%	83	189	43.92%	21	62	33.87%	84	56	109	30	45	21
2025	7	3	4	0	0	0	0	0	18	26	-8	3	2	1	0	0	0	0	0	10	11	-1	4	1	3	0	0	0	0	0	8	15	-7	6	18	31	49	0	0	0	6	5	7	186	0	58	68	60	226	65	100	172	24	3	12.50%	36	9	75.00%	0	109	239	45.61%	128	256	50.00%	54	110	49.09%	158	106	174	51	87	42
2031	4	0	4	0	0	0	0	0	9	18	-9	2	0	2	0	0	0	0	0	5	7	-2	2	0	2	0	0	0	0	0	4	11	-7	0	9	15	24	0	0	0	3	4	2	80	0	17	32	31	151	46	63	92	15	3	20.00%	22	4	81.82%	0	44	113	38.94%	70	162	43.21%	39	69	56.52%	80	51	109	31	49	23
2032	6	2	4	0	0	0	0	0	18	22	-4	3	1	2	0	0	0	0	0	7	8	-1	3	1	2	0	0	0	0	0	11	14	-3	4	18	31	49	1	0	0	6	4	8	158	0	58	46	54	188	38	53	126	40	4	10.00%	25	4	84.00%	0	98	194	50.52%	110	208	52.88%	43	97	44.33%	148	102	133	45	78	39
2033	6	2	4	0	0	0	0	0	21	24	-3	3	0	3	0	0	0	0	0	8	11	-3	3	2	1	0	0	0	0	0	13	13	0	4	21	35	56	0	0	0	7	4	10	177	0	64	43	67	219	55	76	122	28	7	25.00%	33	7	78.79%	1	115	215	53.49%	97	232	41.81%	43	104	41.35%	136	92	149	46	78	37
2034	15	9	6	0	0	0	0	0	58	52	6	6	2	4	0	0	0	0	0	21	25	-4	9	7	2	0	0	0	0	0	37	27	10	18	58	98	156	0	1	0	22	20	16	594	0	178	188	188	492	158	163	340	86	20	23.26%	78	15	80.77%	1	269	629	42.77%	252	575	43.83%	139	286	48.60%	376	256	397	122	206	99
2035	7	3	4	0	0	0	0	0	25	32	-7	3	1	2	0	0	0	0	0	12	17	-5	4	2	2	0	0	0	0	0	13	15	-2	6	25	44	69	0	0	0	8	9	8	226	0	71	76	79	257	72	73	180	32	7	21.88%	29	8	72.41%	0	92	271	33.95%	92	260	35.38%	56	120	46.67%	157	105	177	50	85	42
2036	4	0	4	0	0	0	0	0	13	21	-8	2	0	2	0	0	0	0	0	6	10	-4	2	0	2	0	0	0	0	0	7	11	-4	0	13	22	35	1	0	0	4	4	5	155	0	51	54	50	129	47	34	86	21	5	23.81%	17	7	58.82%	0	69	174	39.66%	68	133	51.13%	39	75	52.00%	96	66	94	27	48	24
2038	7	3	4	0	0	0	0	0	32	31	1	3	1	2	0	0	0	0	0	9	13	-4	4	2	2	0	0	0	0	0	23	18	5	6	32	57	89	0	0	11	7	14	0	215	69	63	83	0	231	70	89	150	37	10	27.03%	34	8	76.47%	0	114	246	46.34%	87	248	35.08%	45	129	34.88%	162	112	174	53	90	43
Total Playoff	80	32	48	0	0	0	0	0	274	304	-30	36	11	25	0	0	0	0	0	114	137	-23	44	21	23	0	0	0	0	0	160	167	-7	64	274	475	749	2	1	11	86	94	82	2585	69	823	873	770	2748	819	1004	1791	374	75	20.05%	371	74	80.05%	2	1262	2859	44.14%	1242	2853	43.53%	601	1378	43.61%	1851	1229	1961	627	1088	531

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	PKP	PKS	GW	GT	FO%	HT	P/20
1	Kyle Connor	32	24	23	47	3	5	10	64	166	14.46%	13	784	24.52	6	9	15	44	2	2	7	3	1	24.34%	1	1.20
2	William Nylander	39	19	25	44	7	2	11	58	148	12.84%	3	781	20.04	9	10	19	47	0	0	0	4	1	41.54%	1	1.13
3	Blake Coleman	39	18	14	32	-2	54	144	91	120	15.00%	11	832	21.34	5	7	12	39	0	0	1	1	1	39.82%	1	0.77
4	Alex Killorn	38	10	21	31	-13	20	49	62	126	7.94%	16	787	20.72	1	11	12	32	0	0	2	1	1	34.43%	0	0.79
5	Matt Moulson	24	13	17	30	9	7	28	46	93	13.98%	10	489	20.39	3	4	7	18	0	0	0	0	1	34.74%	1	1.23

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
1	Mackenzie Blackwood	27	13	9	4	0.888	3.60	1583	2	1	95	851	0	5	1
2	Ryan Miller	13	7	5	1	0.925	2.45	785	0	0	32	427	189	1	0
3	Ilja Bryzgalov	9	3	5	0	0.896	3.84	500	15	0	32	309	0	1	0
4	Mark Dekanich	6	3	3	0	0.890	3.56	354	2	0	21	191	0	1	0
5	Jordan Binnington	12	3	6	1	0.861	4.65	684	2	0	53	381	0	0	0