Canadian Hockey League

Bandits
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Depth
Career

Game Center
	Blackhawks 3-1-0, 6pts	2	FINAL	5	Blues 5-1-0, 10pts

Team Stats
L1	Streak	W5
2-0-0	Home Record	2-0-0
1-1-0	Away Record	3-1-0
3-1-0	Last 10 Games	5-1-0
3.50	Goals Per Game	3.67
2.50	Goals Against Per Game	2.33
28.00%	Power Play Percentage	22.22%
80.95%	Penalty Kill Percentage	86.96%

Blues
5-1-0, 10pts

FINAL

Predators
3-2-1, 7pts

Team Stats
W5	Streak	W1
2-0-0	Home Record	2-1-0
3-1-0	Away Record	1-1-1
5-1-0	Last 10 Games	3-2-1
3.67	Goals Per Game	2.83
2.33	Goals Against Per Game	2.67
22.22%	Power Play Percentage	22.22%
86.96%	Penalty Kill Percentage	83.33%

Team Leaders
	Goals Nick Schmaltz 5	Assists Sam Reinhart 7

	Points Sam Reinhart 10	Plus/Minus Samuel Girard 5

	Wins Ilya Sorokin 5	Save Percentage Ilya Sorokin 0.932

Team Stats
Goals For 22 3.67 GFG	Shots For 233 38.83 Avg	Power Play Percentage 22.2% 8 GF	Offensive Zone Start 43.1%
Goals Against 14 2.33 GAA	Shots Against 205 34.17 Avg	Penalty Kill Percentage 87.0% 3 GA	Defensive Zone Start 40.9%

Injury / Suspension
No Injury or Suspension.

Team Info
	General Manager	Maxime Barabe
	Coach	Glen Gulutzan
	Division	Central
	Conference	Western
	Captain
	Assistant #1
	Assistant #2
Uniforms

Arena Info
	Name	Anheuser-Busch Center
	Capacity	25,000
	Attendance	0
	Season Tickets	10,000
Roster Info
	Pro Team	22
	Farm Team	24
	Contract Limit	46 / 55
	Prospects	0
Salary Cap
	Estimated Season Salary Cap	0$
	Available Salary Cap	90,000,000$
	Special Salary Cap Value	0$
	Players In Salary Cap	22
Finance
	Year to Date Revenue	0$
	Year To Date Expenses	0$
	Estimated Season Revenue	0$
	Estimated Season Expenses	0$
	Current Bank Account	298,276,044$
	Projected Bank Account	298,276,044$
Team History
	This Season	5-1-0 (10PTS)
	History	836-748-145 (0.484%)
	Playoff Appearances	11
	Playoff Record (W-L)	76-60
	Stanley Cup	1

Show or Hide Column

Filter Tips

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

#	Player Name	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	Sam Reinhart			X		97.00	62	48	87	92	61	90	87	84	73	81	87	80	81	86	88	35	35	79	0	31	2	7,200,000$
2	Nick Schmaltz	X				99.00	47	44	83	93	53	87	99	82	81	81	83	82	77	84	86	40	32	78	0	30	4	6,375,000$
3	Zach Hyman		X			100.00	63	51	80	90	66	88	83	82	40	70	94	72	40	92	90	20	30	76	0	34	2	7,000,000$
4	Boone Jenner	X				100.00	91	57	77	83	67	82	89	68	88	71	66	79	60	90	86	25	30	73	0	33	3	5,000,000$
5	Marcus Johansson		X			100.00	51	50	87	86	65	80	94	72	40	77	66	74	51	96	88	10	28	72	0	36	1	2,000,000$
6	Taylor Hall			X		100.00	56	52	79	84	68	79	98	70	40	71	68	66	64	94	87	15	33	70	0	35	2	3,750,000$
7	Radek Faksa	X				100.00	72	55	84	76	75	74	83	57	88	61	53	86	73	88	81	30	38	68	0	32	1	2,500,000$
8	Nic Dowd	X				100.00	84	52	71	77	63	79	94	56	84	57	55	76	73	96	88	10	33	67	0	36	4	2,200,000$
9	Scott Laughton			X		100.00	84	50	80	80	58	79	87	58	93	49	67	79	40	88	84	30	25	67	0	32	2	3,500,000$
10	Jonathan Drouin			X		100.00	47	48	84	82	54	83	87	60	85	66	55	70	64	86	85	35	33	66	0	31	5	4,500,000$
11	William Carrier		X			100.00	98	54	85	76	72	72	91	56	40	53	58	67	40	88	80	30	28	65	0	32	2	2,350,000$
12	Filip Chytil	X				100.00	48	53	80	76	70	80	51	55	84	40	71	64	40	78	79	55	30	61	0	27	3	3,500,000$
13	Ivan Provorov				X	98.00	48	55	82	80	75	91	99	63	40	62	64	82	40	82	87	45	31	73	0	29	4	6,000,000$
14	John Marino				X	100.00	48	49	86	82	63	84	98	64	40	73	56	82	40	82	83	45	28	72	0	29	3	3,900,000$
15	Darnell Nurse				X	100.00	79	66	65	76	77	84	99	59	40	57	61	77	40	86	85	35	36	72	0	31	5	6,500,000$
16	Christopher Tanev				X	100.00	44	51	90	75	67	79	51	52	40	55	50	96	40	98	89	5	29	69	0	37	2	4,400,000$
17	Troy Stecher				X	100.00	51	42	84	80	49	82	87	55	40	54	56	77	40	88	85	30	33	68	0	32	1	1,750,000$
18	Samuel Girard				X	100.00	48	42	82	83	42	80	84	59	40	62	56	71	40	80	80	50	36	66	0	28	1	5,000,000$
Scratches
1	Brad Marchand		X			96.00	56	40	75	97	45	84	79	88	40	83	93	63	64	99	92	0	27	77	0	38	1	8,750,000$
2	Radko Gudas				X	95.69	99	68	66	78	65	77	81	55	40	56	54	77	40	96	87	10	15	71	0	36	4	4,000,000$
Farm Team
1	Nick Cousins	X				100.00	89	50	67	80	55	74	98	57	40	54	59	68	69	90	82	25	20	65	0	33	1	850,000$
2	Conor Sheary			X		100.00	48	39	85	82	43	78	85	57	40	55	59	76	65	92	85	20	21	64	0	34	1	900,000$
3	Filip Bystedt (R)		X			100.00	77	56	83	79	72	74	64	63	40	68	58	63	40	68	71	80	25	64	0	22	2	925,000$
4	Jeffrey Truchon-Viel		X			100.00	99	84	55	76	70	74	74	54	40	53	55	68	40	82	78	45	21	63	0	29	3	575,000$
5	Michael Eyssimont	X				100.00	63	51	79	80	59	73	81	58	40	55	62	64	40	84	79	40	26	63	0	30	1	1,250,000$
6	Calle Jarnkrok	X				100.00	54	47	87	77	58	74	81	51	83	43	59	71	62	94	84	15	20	62	0	35	2	3,500,000$
7	Nils Aman	X				100.00	67	45	84	78	55	64	54	56	70	70	39	59	57	76	70	60	22	59	0	26	1	1,100,000$
8	Rasmus Kupari	X				100.00	71	51	85	75	66	60	50	51	88	44	57	55	40	76	68	60	23	57	0	26	1	1,350,000$
9	Hugh McGing		X			100.00	50	71	72	76	43	75	65	44	40	44	45	60	40	80	78	50	24	55	0	28	1	1,750,000$
10	Pierrick Dube			X		100.00	59	51	80	77	48	60	50	49	40	51	47	60	40	74	67	65	20	55	0	25	1	575,000$
11	Lukas Rousek			X		100.00	48	40	78	76	60	60	50	49	40	60	38	51	40	78	69	55	22	54	0	27	1	750,000$
12	Matthew Sop (R)		X			100.00	58	45	83	75	53	60	50	44	40	44	44	55	40	70	65	75	27	53	0	23	2	575,000$
13	Cal Foote				X	100.00	67	71	82	75	79	55	50	42	40	44	40	70	40	80	68	50	19	61	0	28	3	575,000$
14	Braden Hache (R)				X	100.00	77	77	57	75	72	76	71	32	40	29	35	63	40	70	73	75	21	60	0	23	2	925,000$
15	Jett Woo				X	100.00	74	49	47	75	64	55	50	35	40	35	36	50	99	76	66	60	23	54	0	26	1	1,350,000$
16	Layton Ahac				X	100.00	69	63	81	75	68	55	50	28	40	26	30	50	40	74	65	65	25	53	0	25	1	575,000$
17	Isaac Belliveau (R)				X	100.00	55	49	63	84	60	55	50	32	40	31	33	51	40	72	64	70	28	53	0	24	2	750,000$
18	Daylan Kuefler		X			100.00	66	71	71	75	60	76	66	40	40	38	42	64	40	72	74	70	20	55	0	24	1	575,000$
19	William Dufour		X			100.00	47	45	70	75	73	60	50	41	40	39	43	50	40	72	66	70	20	51	0	24	1	1,100,000$
20	Kaleb Lawrence (R)		X			100.00	91	74	50	75	86	60	50	30	70	29	30	60	40	70	65	75	20	51	0	23	2	575,000$
21	Ethan Keppen		X			100.00	59	51	62	75	67	60	50	31	40	24	37	58	40	74	67	65	19	49	0	25	1	575,000$
22	Cameron Butler			X		100.00	75	72	65	75	77	60	50	28	40	20	35	57	40	72	66	70	20	49	0	24	1	575,000$

	TEAM AVERAGE					99.64	65	54	76	79	63	73	73	54	52	53	55	68	50	83	78	43	26	63

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	Ilya Sorokin	97.00	92	97	99	89	88	87	88	91	90	90	85	86	87	35	36	87	0	31	8	1$
2	Aleksei Kolosov (R)	100.00	75	66	71	92	50	50	50	50	50	50	40	72	61	70	36	59	0	24	1	750,000$
Scratches
Farm Team
1	Ivan Fedotov (R)	100.00	75	77	83	99	50	50	50	50	50	50	90	84	67	40	22	61	0	30	3	575,000$
2	Simon Zajicek (R)	100.00	70	50	60	86	59	60	51	55	56	55	40	74	67	65	22	60	0	25	3	575,000$

	TEAM AVERAGE	99.25	78	73	78	92	62	62	60	62	62	61	64	79	71	53	29	67

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Glen Gulutzan	75	98	91	85	90	75	60	CAN	55	5	2,000,000$

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	FW	FL	S1	S2	S3
1	Sam Reinhart	Blues	RW	6	3	7	10	1	6	0	12	12	28	12	16	10.71%	0	141	23.62	2	3	5	13	29	0	16	2	0	50.00%	54	0	1.41	0	0	0	1	2
2	Zach Hyman	Blues	LW	6	1	6	7	1	4	0	2	9	30	4	22	3.33%	1	117	19.51	0	5	5	6	26	1	11	0	0	33.33%	3	0	1.20	0	0	0	0	0
3	Nick Schmaltz	Blues	C	6	5	1	6	2	2	0	2	20	21	4	11	23.81%	2	135	22.60	2	1	3	5	29	0	15	1	0	49.50%	200	1	0.89	0	0	1	1	0
4	Brad Marchand	Blues	LW	5	0	6	6	-1	2	0	8	8	27	7	16	0.00%	1	119	23.81	0	2	2	5	25	0	13	0	0	16.67%	12	0	1.01	0	0	0	0	1
5	John Marino	Blues	D	6	1	4	5	0	2	0	9	6	9	3	10	11.11%	13	147	24.54	1	2	3	6	28	0	20	0	0	0.00%	0	0	0.68	0	0	0	0	0
6	Ivan Provorov	Blues	D	6	2	2	4	2	8	0	9	5	13	8	8	15.38%	3	166	27.67	1	1	2	5	28	0	16	0	1	0.00%	0	0	0.48	0	0	0	1	0
7	Marcus Johansson	Blues	LW	6	2	2	4	1	0	0	0	8	7	6	10	28.57%	1	81	13.57	0	0	0	0	5	0	10	0	1	60.00%	5	0	0.98	0	0	0	0	1
8	Boone Jenner	Blues	C	6	3	1	4	-1	8	0	24	18	24	1	17	12.50%	0	101	16.98	2	0	2	5	27	0	3	1	0	55.06%	158	0	0.79	0	0	0	1	0
9	Taylor Hall	Blues	RW	6	1	2	3	0	0	0	0	2	11	2	13	9.09%	1	100	16.69	0	1	1	3	27	0	1	0	0	22.22%	9	0	0.60	0	0	0	0	0
10	Radek Faksa	Blues	C	6	0	3	3	3	2	0	2	6	10	5	6	0.00%	3	66	11.10	0	0	0	0	0	0	2	0	0	44.19%	86	0	0.90	0	0	0	0	0
11	Samuel Girard	Blues	D	6	0	3	3	5	6	0	8	4	3	0	4	0.00%	5	72	12.04	0	0	0	1	3	0	1	0	0	0.00%	0	0	0.83	0	0	0	0	0
12	Scott Laughton	Blues	RW	6	2	1	3	3	4	0	8	1	15	2	4	13.33%	0	63	10.52	0	0	0	0	0	0	0	1	0	71.43%	7	0	0.95	0	0	0	1	0
13	Nic Dowd	Blues	C	6	1	1	2	1	0	0	3	7	7	2	1	14.29%	0	32	5.42	0	0	0	0	0	0	2	0	0	52.50%	40	0	1.23	0	0	0	0	0
14	Jonathan Drouin	Blues	RW	5	0	2	2	1	0	0	0	7	3	1	1	0.00%	0	25	5.03	0	0	0	0	0	0	0	0	0	66.67%	3	0	1.59	0	0	0	0	0
15	Troy Stecher	Blues	D	1	1	0	1	0	0	0	0	0	1	0	0	100.00%	2	14	14.30	0	0	0	0	0	0	2	0	1	0.00%	0	0	1.40	0	0	0	0	0
16	Christopher Tanev	Blues	D	6	0	0	0	0	0	0	0	4	7	2	6	0.00%	6	121	20.28	0	0	0	2	19	0	18	0	0	0.00%	0	0	0.00	0	0	0	0	0
17	Filip Chytil	Blues	C	4	0	0	0	0	0	0	0	1	0	0	1	0.00%	0	10	2.72	0	0	0	0	1	0	3	0	0	50.00%	2	0	0.00	0	0	0	0	0
18	Darnell Nurse	Blues	D	6	0	0	0	-2	18	10	24	2	11	5	5	0.00%	11	139	23.31	0	0	0	4	27	0	16	0	0	0.00%	0	0	0.00	1	1	0	0	0
19	William Carrier	Blues	LW	6	0	0	0	1	4	0	4	0	5	0	0	0.00%	0	35	5.85	0	0	0	0	0	0	1	0	0	33.33%	3	0	0.00	0	0	0	0	0
20	Radko Gudas	Blues	D	2	0	0	0	1	2	0	5	1	1	0	0	0.00%	2	32	16.30	0	0	0	1	5	0	1	0	0	0.00%	0	0	0.00	0	0	0	0	0
Team Total or Average				107	22	41	63	18	68	10	120	121	233	64	151	9.44%	51	1724	16.11	8	15	23	56	288	1	160	5	3	49.66%	582	1	0.73	1	1	1	5	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

#	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	Ilya Sorokin	Blues	6	5	1	0	0.932	2.33	360	0	0	14	205	0	0	0	0.000	0	6	0	2	0	1
Team Total or Average			6	5	1	0	0.932	2.33	360	0	0	14	205	0	0	0	0.000	0	6	0	2	0	1

Show or Hide Column

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	2040	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	2041	2042	2043	2044	2045	2046	2047	Link
Aleksei Kolosov	Blues	G	24	2002-01-04	Yes	185 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	750,000$	750,000$	No	RFA							Link / NHL Link
Boone Jenner	Blues	C	33	1993-06-15	No	204 Lbs	6 ft2	No	No	Yes	3	Pro Only	5,000,000$	5,000,000$	5,000,000$	No	5,000,000$	5,000,000$	UFA					Link / NHL Link
Brad Marchand	Blues	LW	38	1988-05-11	No	180 Lbs	5 ft9	No	No	Yes	1	Pro Only	8,750,000$	8,750,000$	8,750,000$	No	UFA							Link / NHL Link
Christopher Tanev	Blues	D	37	1989-12-20	No	200 Lbs	6 ft3	No	No	Yes	2	Pro & Farm	4,400,000$	4,400,000$	4,400,000$	No	4,400,000$	UFA						Link / NHL Link
Darnell Nurse	Blues	D	31	1995-02-04	No	215 Lbs	6 ft4	No	No	Yes	5	Pro Only	6,500,000$	6,500,000$	6,500,000$	No	6,500,000$	6,500,000$	6,500,000$	6,500,000$	UFA			Link / NHL Link
Filip Chytil	Blues	C	27	1999-09-05	No	210 Lbs	6 ft2	No	No	Yes	3	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	No	3,500,000$	3,500,000$	UFA					Link / NHL Link
Ilya Sorokin	Blues	G	31	1995-08-04	No	190 Lbs	6 ft3	Yes	No	Yes	8	Pro Only	1$	1$	1$	No	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	Link / NHL Link
Ivan Provorov	Blues	D	29	1997-01-13	No	224 Lbs	6 ft1	No	No	Yes	4	Pro Only	6,000,000$	6,000,000$	6,000,000$	No	6,000,000$	6,000,000$	6,000,000$	UFA				Link / NHL Link
John Marino	Blues	D	29	1997-05-21	No	200 Lbs	6 ft1	No	No	Yes	3	Pro & Farm	3,900,000$	3,900,000$	3,900,000$	No	3,900,000$	3,900,000$	UFA					Link / NHL Link
Jonathan Drouin	Blues	RW	31	1995-03-28	No	189 Lbs	5 ft11	No	No	Yes	5	Pro & Farm	4,500,000$	4,500,000$	4,500,000$	No	4,500,000$	4,500,000$	4,500,000$	4,500,000$	UFA			Link / NHL Link
Marcus Johansson	Blues	LW	36	1990-10-06	No	203 Lbs	6 ft1	No	No	No	1	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	No	UFA							Link / NHL Link
Nic Dowd	Blues	C	36	1990-05-27	No	195 Lbs	6 ft2	Yes	No	Yes	4	Pro & Farm	2,200,000$	2,200,000$	2,200,000$	No	2,200,000$	2,200,000$	2,200,000$	UFA				Link / NHL Link
Nick Schmaltz	Blues	C	30	1996-02-23	No	184 Lbs	6 ft0	No	No	Yes	4	Pro Only	6,375,000$	6,375,000$	6,375,000$	No	6,375,000$	6,375,000$	6,375,000$	UFA				Link / NHL Link
Radek Faksa	Blues	C	32	1994-01-09	No	216 Lbs	6 ft3	No	No	Yes	1	Pro & Farm	2,500,000$	2,500,000$	2,500,000$	No	UFA							Link / NHL Link
Radko Gudas	Blues	D	36	1990-06-05	No	208 Lbs	6 ft0	Yes	No	Yes	4	Pro & Farm	4,000,000$	4,000,000$	4,000,000$	No	4,000,000$	4,000,000$	4,000,000$	UFA				Link / NHL Link
Sam Reinhart	Blues	RW	31	1995-11-06	No	196 Lbs	6 ft1	No	No	Yes	2	Pro Only	7,200,000$	7,200,000$	7,200,000$	No	7,200,000$	UFA						Link / NHL Link
Samuel Girard	Blues	D	28	1998-05-12	No	170 Lbs	5 ft10	No	No	Yes	1	Pro Only	5,000,000$	5,000,000$	5,000,000$	No	UFA							Link / NHL Link
Scott Laughton	Blues	RW	32	1994-05-30	No	190 Lbs	6 ft1	No	No	Yes	2	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	No	3,500,000$	UFA						Link / NHL Link
Taylor Hall	Blues	RW	35	1991-11-14	No	210 Lbs	6 ft1	No	No	Yes	2	Pro & Farm	3,750,000$	3,750,000$	3,750,000$	No	3,750,000$	UFA						Link / NHL Link
Troy Stecher	Blues	D	32	1994-04-07	No	184 Lbs	5 ft10	No	No	No	1	Pro & Farm	1,750,000$	1,750,000$	1,750,000$	No	UFA							Link / NHL Link
William Carrier	Blues	LW	32	1994-12-20	No	214 Lbs	6 ft2	No	No	Yes	2	Pro & Farm	2,350,000$	2,350,000$	2,350,000$	No	2,350,000$	UFA						Link / NHL Link
Zach Hyman	Blues	LW	34	1992-06-09	No	206 Lbs	6 ft1	No	No	Yes	2	Pro Only	7,000,000$	7,000,000$	7,000,000$	No	7,000,000$	UFA						Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	32.00	199 Lbs	6 ft1	2.77	4,132,955$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
90,925,001$	78,175,000$	49,975,000$	37,575,000$	19,000,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Zach Hyman	Nick Schmaltz	Sam Reinhart	40	1	2	2
2	Marcus Johansson	Boone Jenner	Taylor Hall	30	1	2	2
3	William Carrier	Radek Faksa	Scott Laughton	20	1	2	2
4	Filip Chytil	Nic Dowd	Jonathan Drouin	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ivan Provorov	John Marino	40	1	2	2
2	Darnell Nurse	Christopher Tanev	30	1	2	2
3	Troy Stecher	Samuel Girard	20	1	2	2
4	Ivan Provorov	John Marino	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Zach Hyman	Nick Schmaltz	Sam Reinhart	60	1	2	2
2	Marcus Johansson	Boone Jenner	Taylor Hall	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ivan Provorov	John Marino	60	1	2	2
2	Darnell Nurse	Christopher Tanev	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nick Schmaltz	Zach Hyman	60	1	2	2
2	Boone Jenner	Marcus Johansson	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ivan Provorov	John Marino	60	1	2	2
2	Darnell Nurse	Christopher Tanev	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Nick Schmaltz	60	1	2	2	Ivan Provorov	John Marino	60	1	2	2
2	Boone Jenner	40	1	2	2	Darnell Nurse	Christopher Tanev	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nick Schmaltz	Zach Hyman	60	1	2	2
2	Boone Jenner	Marcus Johansson	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ivan Provorov	John Marino	60	1	2	2
2	Darnell Nurse	Christopher Tanev	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Zach Hyman	Nick Schmaltz	Sam Reinhart	Ivan Provorov	John Marino

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Zach Hyman	Nick Schmaltz	Sam Reinhart	Ivan Provorov	John Marino

Extra Forwards
Normal	PowerPlay	Penalty Kill
Marcus Johansson, Taylor Hall, Radek Faksa	Marcus Johansson, Taylor Hall	Marcus Johansson

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Christopher Tanev, Troy Stecher, Samuel Girard	Christopher Tanev	Christopher Tanev, Troy Stecher

Penalty Shots
Sam Reinhart, Nick Schmaltz, Zach Hyman, Boone Jenner, Marcus Johansson

Goalie
#1 : Ilya Sorokin, #2 : Aleksei Kolosov

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	Blackhawks	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	0	2	1	2	0	41	18	7	16	0	38	11	14	25	7	3	42.86%	6	1	83.33%	0	142	251	56.57%	111	238	46.64%	36	93	38.71%	21	14	26	7	11	5
2	BlueJackets	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	0	1	1	0	45	14	17	14	0	32	8	8	27	2	0	0.00%	2	1	50.00%	0	142	251	56.57%	111	238	46.64%	36	93	38.71%	26	19	21	6	12	6
3	Bruins	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	1	1	2	1.000	2	3	5	0	0	1	0	1	0	38	10	16	12	0	26	6	9	13	10	1	10.00%	1	0	100.00%	0	142	251	56.57%	111	238	46.64%	36	93	38.71%	27	19	20	7	12	6
4	Capitals	1	1	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	7	4	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	13	20	0	0	3	3	1	0	33	12	10	11	0	35	7	12	17	4	1	25.00%	5	1	80.00%	0	142	251	56.57%	111	238	46.64%	36	93	38.71%	26	19	21	6	11	5
5	Islanders	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	1	1	2	1.000	2	4	6	0	0	1	1	0	0	47	15	21	11	0	22	7	9	19	7	1	14.29%	2	0	100.00%	0	142	251	56.57%	111	238	46.64%	36	93	38.71%	27	19	20	7	12	5
6	Predators	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	8	12	0	0	1	2	1	0	29	4	10	15	0	52	13	16	20	6	2	33.33%	7	0	100.00%	0	142	251	56.57%	111	238	46.64%	36	93	38.71%	22	14	26	8	11	5
	Total	6	5	1	0	0	0	0	0	22	14	8	2	2	0	0	0	0	0	0	12	6	6	4	3	1	0	0	0	0	0	10	8	2	10	0.833	22	42	64	0	0	8	8	6	0	233	73	81	79	0	205	52	68	121	36	8	22.22%	23	3	86.96%	0	142	251	56.57%	111	238	46.64%	36	93	38.71%	151	106	137	44	71	34
	_Since Last GM Reset	6	5	1	0	0	0	0	0	22	14	8	2	2	0	0	0	0	0	0	12	6	6	4	3	1	0	0	0	0	0	10	8	2	10	0.833	22	42	64	0	0	8	8	6	0	233	73	81	79	0	205	52	68	121	36	8	22.22%	23	3	86.96%	0	142	251	56.57%	111	238	46.64%	36	93	38.71%	151	106	137	44	71	34
	_Vs Conference	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	4	2	2	4	1.000	9	18	27	0	0	3	3	3	0	70	22	17	31	0	90	24	30	45	13	5	38.46%	13	1	92.31%	0	142	251	56.57%	111	238	46.64%	36	93	38.71%	44	29	52	15	22	10
	_Vs Division	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	4	2	2	4	1.000	9	18	27	0	0	3	3	3	0	70	22	17	31	0	90	24	30	45	13	5	38.46%	13	1	92.31%	0	142	251	56.57%	111	238	46.64%	36	93	38.71%	44	29	52	15	22	10

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
6	10	W5	22	42	64	233	205	52	68	121	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	5	1	0	0	0	0	22	14

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	12	6

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	3	1	0	0	0	0	10	8

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	1	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
36	8	22.22%	23	3	86.96%	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
73	81	79	0	8	8	6	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
142	251	56.57%	111	238	46.64%	36	93	38.71%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
151	106	137	44	71	34

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	Link
1	6	Blues	2	BlueJackets	4	AL	BoxScore
5	28	Blues	2	Islanders	1	AW	BoxScore
7	43	Capitals	4	Blues	7	BW	BoxScore
8	50	Blues	2	Bruins	1	AW	BoxScore
9	61	Blackhawks	2	Blues	5	BW	BoxScore
10	64	Blues	4	Predators	2	AW	BoxScore

Depth Chart

Left Wing

Center

Right Wing

Brad Marchand

AGE:38
SK:		97
EN:		84
DU:		79
PH:		88
PA:		83
SC:		93
DF:		63
Zach Hyman

AGE:34
SK:		90
EN:		88
DU:		83
PH:		82
PA:		70
SC:		94
DF:		72
Marcus Johansson

AGE:36
SK:		86
EN:		80
DU:		94
PH:		72
PA:		77
SC:		66
DF:		74
William Carrier

AGE:32
SK:		76
EN:		72
DU:		91
PH:		56
PA:		53
SC:		58
DF:		67
Filip Bystedt (R)

AGE:22
SK:		79
EN:		74
DU:		64
PH:		63
PA:		68
SC:		58
DF:		63
Jeffrey Truchon-Viel

AGE:29
SK:		76
EN:		74
DU:		74
PH:		54
PA:		53
SC:		55
DF:		68
Daylan Kuefler

AGE:24
SK:		75
EN:		76
DU:		66
PH:		40
PA:		38
SC:		42
DF:		64
Hugh McGing

AGE:28
SK:		76
EN:		75
DU:		65
PH:		44
PA:		44
SC:		45
DF:		60
Matthew Sop (R)

AGE:23
SK:		75
EN:		60
DU:		50
PH:		44
PA:		44
SC:		44
DF:		55
Kaleb Lawrence (R)

AGE:23
SK:		75
EN:		60
DU:		50
PH:		30
PA:		29
SC:		30
DF:		60
William Dufour

AGE:24
SK:		75
EN:		60
DU:		50
PH:		41
PA:		39
SC:		43
DF:		50
Ethan Keppen

AGE:25
SK:		75
EN:		60
DU:		50
PH:		31
PA:		24
SC:		37
DF:		58

Nick Schmaltz

AGE:30
SK:		93
EN:		87
DU:		99
PH:		82
PA:		81
SC:		83
DF:		82
Boone Jenner

AGE:33
SK:		83
EN:		82
DU:		89
PH:		68
PA:		71
SC:		66
DF:		79
Radek Faksa

AGE:32
SK:		76
EN:		74
DU:		83
PH:		57
PA:		61
SC:		53
DF:		86
Nic Dowd

AGE:36
SK:		77
EN:		79
DU:		94
PH:		56
PA:		57
SC:		55
DF:		76
Nick Cousins

AGE:33
SK:		80
EN:		74
DU:		98
PH:		57
PA:		54
SC:		59
DF:		68
Michael Eyssimont

AGE:30
SK:		80
EN:		73
DU:		81
PH:		58
PA:		55
SC:		62
DF:		64
Calle Jarnkrok

AGE:35
SK:		77
EN:		74
DU:		81
PH:		51
PA:		43
SC:		59
DF:		71
Filip Chytil

AGE:27
SK:		76
EN:		80
DU:		51
PH:		55
PA:		40
SC:		71
DF:		64
Nils Aman

AGE:26
SK:		78
EN:		64
DU:		54
PH:		56
PA:		70
SC:		39
DF:		59
Rasmus Kupari

AGE:26
SK:		75
EN:		60
DU:		50
PH:		51
PA:		44
SC:		57
DF:		55

Sam Reinhart

AGE:31
SK:		92
EN:		90
DU:		87
PH:		84
PA:		81
SC:		87
DF:		80
Taylor Hall

AGE:35
SK:		84
EN:		79
DU:		98
PH:		70
PA:		71
SC:		68
DF:		66
Scott Laughton

AGE:32
SK:		80
EN:		79
DU:		87
PH:		58
PA:		49
SC:		67
DF:		79
Jonathan Drouin

AGE:31
SK:		82
EN:		83
DU:		87
PH:		60
PA:		66
SC:		55
DF:		70
Conor Sheary

AGE:34
SK:		82
EN:		78
DU:		85
PH:		57
PA:		55
SC:		59
DF:		76
Pierrick Dube

AGE:25
SK:		77
EN:		60
DU:		50
PH:		49
PA:		51
SC:		47
DF:		60
Lukas Rousek

AGE:27
SK:		76
EN:		60
DU:		50
PH:		49
PA:		60
SC:		38
DF:		51
Cameron Butler

AGE:24
SK:		75
EN:		60
DU:		50
PH:		28
PA:		20
SC:		35
DF:		57

Defense #1

Defense #2

Goalie

Ivan Provorov

AGE:29
SK:		80
EN:		91
DU:		99
PH:		63
PA:		62
SC:		64
DF:		82
John Marino

AGE:29
SK:		82
EN:		84
DU:		98
PH:		64
PA:		73
SC:		56
DF:		82
Darnell Nurse

AGE:31
SK:		76
EN:		84
DU:		99
PH:		59
PA:		57
SC:		61
DF:		77
Radko Gudas

AGE:36
SK:		78
EN:		77
DU:		81
PH:		55
PA:		56
SC:		54
DF:		77
Christopher Tanev

AGE:37
SK:		75
EN:		79
DU:		51
PH:		52
PA:		55
SC:		50
DF:		96
Troy Stecher

AGE:32
SK:		80
EN:		82
DU:		87
PH:		55
PA:		54
SC:		56
DF:		77

Samuel Girard

AGE:28
SK:		83
EN:		80
DU:		84
PH:		59
PA:		62
SC:		56
DF:		71
Cal Foote

AGE:28
SK:		75
EN:		55
DU:		50
PH:		42
PA:		44
SC:		40
DF:		70
Braden Hache (R)

AGE:23
SK:		75
EN:		76
DU:		71
PH:		32
PA:		29
SC:		35
DF:		63
Jett Woo

AGE:26
SK:		75
EN:		55
DU:		50
PH:		35
PA:		35
SC:		36
DF:		50
Isaac Belliveau (R)

AGE:24
SK:		84
EN:		55
DU:		50
PH:		32
PA:		31
SC:		33
DF:		51
Layton Ahac

AGE:25
SK:		75
EN:		55
DU:		50
PH:		28
PA:		26
SC:		30
DF:		50

Ilya Sorokin

AGE:31
SK:		92
AG:		88
RB:		87
SC:		88
HS:		91
RT:		90
DF:		90
Ivan Fedotov (R)

AGE:30
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Simon Zajicek (R)

AGE:25
SK:		70
AG:		59
RB:		60
SC:		51
HS:		55
RT:		56
DF:		55
Aleksei Kolosov (R)

AGE:24
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50

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	Information	Lien

Draft Picks

Draft Picks
Year	R1	R2	R3	R4	R5	R6	R7
2042
2043

Blues 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	Jared Spurgeon	762	196	467	663	-109	417	479	1465	1934	10.13%	1343	18552	24.35	126	168	294	1274	1	12	13	33	22	13	0.00%	5	0.71	0	2
2	Alan Letang	1308	223	419	642	-59	820	1731	1776	2440	9.14%	821	23027	17.60	48	87	135	242	4	10	14	52	30	18	55.08%	2	0.56	10	31
3	Mika Zibanejad	708	186	282	468	-105	595	1133	1230	1931	9.63%	140	13468	19.02	49	127	176	487	3	8	11	48	19	10	51.38%	2	0.69	11	37
4	Sam Reinhart	405	208	239	447	130	151	364	813	1632	12.75%	60	8097	19.99	54	106	160	426	0	0	0	8	43	10	52.37%	5	1.10	0	12
5	Nick Schmaltz	475	166	276	442	59	42	79	1042	1505	11.03%	91	9263	19.50	38	109	147	363	5	4	9	24	23	6	50.25%	7	0.95	3	17

Blues 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	John Gibson	387	200	130	36	0.898	3.08	22076	28	12	1134	11153	0	20	5	0.754	171
2	Roberto Luongo	359	117	200	22	0.897	3.66	20177	49	10	1229	11909	0	8	7	0.693	101
3	Ilya Sorokin	169	111	50	7	0.905	2.87	9880	12	6	472	4947	0	9	4	0.862	29
4	Juuse Saros	197	106	67	17	0.903	2.99	11573	12	8	576	5932	0	10	1	0.738	61
5	Devan Dubnyk	143	72	51	18	0.910	2.90	8506	14	1	411	4543	1903	8	2	0.728	92

Blues 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	31	40	0	0	2	5	4	257	247	10	41	14	21	0	0	1	3	2	127	126	1	41	17	19	0	0	1	2	2	130	121	9	64	257	412	669	1	0	0	60	100	92	2587	0	784	889	893	2509	810	1322	1952	289	50	17.30%	263	49	81.37%	7	1000	1993	50.18%	994	2083	47.72%	688	1366	50.37%	1789	1015	1833	820	1507	762
2018	82	32	34	0	4	5	4	3	230	237	-7	41	13	21	0	1	4	1	1	104	128	-24	41	19	13	0	3	1	3	2	126	109	17	77	230	366	596	0	4	0	56	92	74	2507	0	781	939	762	2510	808	1074	2062	228	44	19.30%	255	43	83.14%	5	946	1938	48.81%	999	2019	49.48%	688	1355	50.77%	1671	908	1750	783	1554	757
2019	82	30	29	0	5	4	6	8	237	244	-7	41	15	16	0	2	2	4	2	120	125	-5	41	15	13	0	3	2	2	6	117	119	-2	74	237	375	612	1	2	0	44	79	103	2528	0	650	870	956	2610	797	890	1636	228	54	23.68%	215	43	80.00%	3	1029	2016	51.04%	988	2070	47.73%	581	1185	49.03%	1630	869	1807	781	1563	782
2020	82	29	35	0	2	2	8	6	235	267	-32	41	17	16	0	1	0	4	3	130	135	-5	41	12	19	0	1	2	4	3	105	132	-27	64	235	368	603	0	0	0	59	77	89	2572	0	742	989	811	2605	904	1153	1730	237	46	19.41%	231	42	81.82%	1	1076	2088	51.53%	1052	2089	50.36%	667	1278	52.19%	1651	889	1806	775	1539	769
2021	82	27	42	0	4	2	2	5	210	255	-45	41	14	20	0	1	1	1	4	112	126	-14	41	13	22	0	3	1	1	1	98	129	-31	64	210	380	590	2	3	0	64	80	60	2318	0	778	782	731	2562	766	1189	1884	424	74	17.45%	480	84	82.50%	3	1524	2860	53.29%	1444	3163	45.65%	645	1255	51.39%	1853	1243	2079	632	1036	506
2022	82	21	48	0	7	0	4	2	217	265	-48	41	11	21	0	5	0	3	1	121	138	-17	41	10	27	0	2	0	1	1	96	127	-31	56	217	386	603	3	3	0	68	65	73	2302	0	768	733	772	2777	789	1057	1937	435	64	14.71%	443	88	80.14%	3	1415	2919	48.48%	1478	3276	45.12%	593	1275	46.51%	1847	1237	2083	632	1029	502
2023	82	26	46	0	1	1	4	4	220	323	-103	41	14	21	0	1	1	2	2	111	154	-43	41	12	25	0	0	0	2	2	109	169	-60	55	220	385	605	2	3	0	84	70	61	2422	0	809	762	831	3007	845	1268	2002	434	84	19.35%	520	121	76.73%	2	1534	3001	51.12%	1605	3417	46.97%	686	1351	50.78%	1734	1126	2204	649	1027	490
2024	82	12	56	0	2	2	3	7	215	369	-154	41	9	24	0	1	1	1	5	111	163	-52	41	3	32	0	1	1	2	2	104	206	-102	43	215	380	595	3	2	0	75	67	68	2165	0	705	689	744	3159	873	1284	2042	374	82	21.93%	557	139	75.04%	6	1246	2733	45.59%	1522	3457	44.03%	593	1399	42.39%	1709	1103	2224	653	1048	490
2025	82	12	61	0	0	3	2	4	181	363	-182	41	4	31	0	0	3	1	2	88	188	-100	41	8	30	0	0	0	1	2	93	175	-82	35	181	320	501	2	1	0	55	60	64	2132	0	698	681	742	3133	902	1401	2194	374	52	13.90%	604	152	74.83%	4	1062	2662	39.89%	1333	3484	38.26%	539	1313	41.05%	1747	1136	2171	642	1038	485
2026	82	24	50	0	0	2	6	0	257	362	-105	41	18	18	0	0	2	3	0	140	158	-18	41	6	32	0	0	0	3	0	117	204	-87	62	257	451	708	1	1	0	95	86	70	2336	0	770	766	793	3104	902	1420	2123	369	75	20.33%	597	164	72.53%	4	1242	2810	44.20%	1368	3455	39.59%	601	1415	42.47%	1753	1156	2182	632	1019	477
2027	82	16	50	0	5	2	4	5	233	363	-130	41	7	28	0	2	2	0	2	113	189	-76	41	9	22	0	3	0	4	3	120	174	-54	57	233	411	644	1	0	0	82	79	63	2314	0	822	734	733	2943	822	1203	2095	403	87	21.59%	516	143	72.29%	6	1100	2819	39.02%	1266	3162	40.04%	522	1403	37.21%	1789	1181	2144	641	1044	497
2030	82	35	30	0	5	3	4	5	280	256	24	41	21	11	0	3	0	3	3	155	123	32	41	14	19	0	2	3	1	2	125	133	-8	96	280	494	774	2	1	0	91	100	80	2807	0	859	973	937	2436	721	974	1841	443	101	22.80%	416	83	80.05%	6	1677	3227	51.97%	1530	2943	51.99%	628	1303	48.20%	1947	1317	1979	631	1053	523
2031	82	39	24	0	3	2	6	8	292	249	43	41	23	10	0	1	2	2	3	139	103	36	41	16	14	0	2	0	4	5	153	146	7	106	292	520	812	0	0	0	102	94	87	2775	0	855	925	954	2489	778	1056	1828	425	100	23.53%	426	80	81.22%	1	1668	3191	52.27%	1543	3043	50.71%	648	1301	49.81%	2025	1394	1939	618	1036	520
2032	82	41	24	0	3	3	7	4	270	217	53	41	22	11	0	1	1	5	1	128	98	30	41	19	13	0	2	2	2	3	142	119	23	109	270	469	739	1	7	0	98	81	81	2593	0	801	881	879	2277	670	843	1742	404	71	17.57%	347	48	86.17%	4	1578	3035	51.99%	1435	2767	51.86%	667	1289	51.75%	2135	1496	1818	599	1033	536
2033	82	55	17	0	3	4	2	1	344	211	133	41	29	7	0	1	2	2	0	189	107	82	41	26	10	0	2	2	0	1	155	104	51	125	344	620	964	1	4	0	131	105	103	2815	0	933	931	933	2194	609	775	1676	439	97	22.10%	314	60	80.89%	4	1696	3167	53.55%	1408	2650	53.13%	683	1302	52.46%	2195	1559	1729	579	1031	546
2034	82	43	26	0	3	4	3	3	295	239	56	41	23	12	0	1	2	2	1	144	102	42	41	20	14	0	2	2	1	2	151	137	14	105	295	523	818	0	4	0	116	87	86	2809	0	917	918	944	2422	653	979	1779	425	91	21.41%	406	56	86.21%	10	1737	3143	55.27%	1542	2884	53.47%	716	1339	53.47%	2034	1403	1884	613	1040	526
2035	82	35	33	0	4	4	4	2	267	254	13	41	19	15	0	3	1	2	1	145	126	19	41	16	18	0	1	3	2	1	122	128	-6	92	267	482	749	1	4	0	115	82	62	2632	0	906	914	792	2645	778	1036	1794	389	58	14.91%	414	70	83.09%	5	1631	3003	54.31%	1463	3079	47.52%	678	1311	51.72%	1988	1370	1952	601	1027	514
2036	82	33	31	0	5	7	4	2	290	279	11	41	17	18	0	0	4	1	1	143	136	7	41	16	13	0	5	3	3	1	147	143	4	93	290	504	794	0	3	0	109	94	78	2695	0	869	939	849	2550	779	1028	1672	444	93	20.95%	422	75	82.23%	6	1603	3026	52.97%	1493	2910	51.31%	673	1334	50.45%	2016	1396	1933	610	1031	514
2037	82	47	21	0	7	3	1	3	341	263	78	41	23	14	0	2	1	0	1	173	138	35	41	24	7	0	5	2	1	2	168	125	43	116	341	601	942	3	2	133	102	98	8	2727	898	906	889	56	2563	763	913	1780	436	102	23.39%	395	82	79.24%	6	1507	2958	50.95%	1406	3019	46.57%	649	1282	50.62%	2046	1438	1899	592	1014	520
2038	82	55	21	0	1	1	4	0	353	220	133	41	23	15	0	1	0	2	0	162	120	42	41	32	6	0	0	1	2	0	191	100	91	121	353	619	972	2	6	143	97	108	7	3047	1052	982	991	39	2487	680	917	1776	454	105	23.13%	395	69	82.53%	4	1780	3304	53.87%	1507	2925	51.52%	740	1357	54.53%	2083	1455	1836	600	1027	528
2039	82	41	30	0	3	4	2	2	282	260	22	41	21	14	0	1	2	2	1	144	126	18	41	20	16	0	2	2	0	1	138	134	4	98	282	505	787	2	0	109	97	71	5	2756	891	959	887	30	2487	730	955	1891	393	84	21.37%	396	73	81.57%	4	1625	3051	53.26%	1468	2927	50.15%	687	1282	53.59%	1995	1382	1924	609	1031	518
Total Regular Season	1722	684	748	0	67	60	85	78	5506	5743	-237	861	357	364	0	28	32	44	36	2799	2809	-10	861	327	384	0	39	28	41	42	2707	2934	-227	1712	5506	9571	15077	28	50	385	1800	1775	1414	53839	2841	17294	18082	15181	55469	16379	22737	39436	8047	1614	20.06%	8612	1764	79.52%	94	29676	58944	50.35%	28844	60822	47.42%	13572	27695	49.01%	39646	26083	41186	13702	23739	11771
Playoff
2019	7	3	4	0	0	0	0	0	19	21	-2	3	1	2	0	0	0	0	0	9	12	-3	4	2	2	0	0	0	0	0	10	9	1	6	19	32	51	0	0	0	4	7	7	197	0	47	81	60	248	69	56	144	13	5	38.46%	15	1	93.33%	1	81	161	50.31%	95	192	49.48%	45	95	47.37%	135	68	171	72	144	72
2030	13	7	6	0	0	0	0	0	36	36	0	6	4	2	0	0	0	0	0	19	17	2	7	3	4	0	0	0	0	0	17	19	-2	14	36	66	102	0	1	0	10	12	14	371	0	110	109	142	446	140	185	330	71	15	21.13%	80	12	85.00%	0	219	498	43.98%	279	539	51.76%	88	210	41.90%	289	187	347	104	172	83
2031	18	10	8	0	0	0	0	0	60	61	-1	9	4	5	0	0	0	0	0	29	36	-7	9	6	3	0	0	0	0	0	31	25	6	20	60	102	162	0	0	0	20	19	19	581	0	195	178	191	585	166	201	404	89	24	26.97%	86	16	81.40%	1	308	664	46.39%	313	676	46.30%	170	308	55.19%	435	296	449	136	233	117
2032	15	10	5	0	0	0	0	0	64	39	25	8	4	4	0	0	0	0	0	36	26	10	7	6	1	0	0	0	0	0	28	13	15	20	64	116	180	0	0	0	25	25	14	509	0	159	162	153	431	115	141	320	96	15	15.63%	64	13	79.69%	0	302	600	50.33%	272	568	47.89%	135	268	50.37%	412	289	350	115	195	105
2033	11	6	5	0	0	0	0	0	43	33	10	6	3	3	0	0	0	0	0	22	17	5	5	3	2	0	0	0	0	0	21	16	5	12	43	80	123	0	0	0	13	21	8	411	0	118	151	130	323	104	111	244	68	13	19.12%	45	7	84.44%	0	239	482	49.59%	184	370	49.73%	88	188	46.81%	303	211	241	82	142	74
2034	5	1	4	0	0	0	0	0	18	20	-2	3	0	3	0	0	0	0	0	8	12	-4	2	1	1	0	0	0	0	0	10	8	2	2	18	32	50	0	0	0	4	8	6	158	0	39	62	57	172	55	60	113	26	7	26.92%	29	7	75.86%	1	102	186	54.84%	101	185	54.59%	47	92	51.09%	120	82	113	36	65	32
2035	6	2	4	0	0	0	0	0	17	19	-2	3	2	1	0	0	0	0	0	11	9	2	3	0	3	0	0	0	0	0	6	10	-4	4	17	28	45	1	0	0	6	5	6	185	0	58	66	55	180	60	82	154	24	5	20.83%	33	6	81.82%	1	116	230	50.43%	114	231	49.35%	53	103	51.46%	139	93	154	45	75	36
2036	5	1	4	0	0	0	0	0	13	16	-3	2	0	2	0	0	0	0	0	4	7	-3	3	1	2	0	0	0	0	0	9	9	0	2	13	24	37	0	0	0	3	8	2	145	0	49	56	38	183	69	58	99	17	2	11.76%	29	5	82.76%	0	77	166	46.39%	94	195	48.21%	40	85	47.06%	113	76	127	37	62	30
2037	15	11	4	0	0	0	0	0	59	51	8	7	5	2	0	0	0	0	0	31	27	4	8	6	2	0	0	0	0	0	28	24	4	22	59	106	165	0	0	19	23	15	2	537	187	196	146	8	502	151	163	326	88	15	17.05%	58	9	84.48%	1	275	576	47.74%	253	557	45.42%	119	255	46.67%	382	269	343	109	187	94
2038	24	16	8	0	0	0	0	0	112	97	15	13	8	5	0	0	0	0	0	60	55	5	11	8	3	0	0	0	0	0	52	42	10	32	112	198	310	0	0	40	31	40	1	848	263	284	288	13	776	220	316	515	136	38	27.94%	131	35	73.28%	0	505	932	54.18%	428	874	48.97%	238	433	54.97%	585	404	574	177	303	153
2039	17	9	8	0	0	0	0	0	46	48	-2	9	3	6	0	0	0	0	0	19	27	-8	8	6	2	0	0	0	0	0	27	21	6	18	46	81	127	1	0	10	19	16	1	461	144	154	158	5	544	176	220	358	85	15	17.65%	91	19	79.12%	0	279	574	48.61%	307	653	47.01%	113	234	48.29%	394	265	425	133	213	105
Total Playoff	136	76	60	0	0	0	0	0	487	441	46	69	34	35	0	0	0	0	0	248	245	3	67	42	25	0	0	0	0	0	239	196	43	152	487	865	1352	2	1	69	158	176	80	4403	594	1409	1457	852	4390	1325	1593	3007	713	154	21.60%	661	130	80.33%	5	2503	5069	49.38%	2440	5040	48.41%	1136	2271	50.02%	3313	2246	3299	1052	1796	906

Blues 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	PKA	PKP	PKS	GW	GT	FO%	P/20
1	Sam Reinhart	80	45	42	87	5	23	69	177	304	14.80%	25	1733	21.67	13	18	31	63	0	0	4	9	2	49.23%	1.00
2	Zach Hyman	58	24	40	64	5	32	85	58	229	10.48%	9	1309	22.57	9	16	25	60	0	0	2	4	2	32.39%	0.98
3	Nick Schmaltz	72	18	42	60	9	17	12	165	188	9.57%	14	1408	19.57	5	12	17	36	1	1	3	6	1	50.47%	0.85
4	Claude Giroux	37	19	37	56	5	8	28	121	116	16.38%	16	853	23.06	7	16	23	29	0	0	2	4	2	56.36%	1.31
5	Brad Marchand	56	18	32	50	-1	48	139	84	175	10.29%	13	1191	21.28	6	12	18	52	1	1	3	4	0	28.57%	0.84

Blues 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	John Gibson	55	31	18	6	0.905	2.90	3395	0	1	164	1718	0	3	0
2	Ilya Sorokin	41	25	13	3	0.892	3.41	2465	8	0	140	1300	0	2	1
3	Connor Hellebuyck	15	11	3	0	0.899	3.22	858	0	0	46	457	0	0	0
4	Devan Dubnyk	7	3	2	2	0.915	2.79	451	0	0	21	248	108	1	0
5	Juuse Saros	11	3	5	3	0.906	3.04	672	0	0	34	362	0	0	1