Canadian Hockey League

Bandits
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Depth
Career

Game Center
	Blues 15-12-3, 33pts	3	FINAL	7	Predators 16-9-1, 33pts

Team Stats
L2	Streak	W5
9-3-2	Home Record	8-5-0
6-9-1	Away Record	8-4-1
4-4-2	Last 10 Games	7-2-1
3.30	Goals Per Game	4.31
3.43	Goals Against Per Game	3.92
18.98%	Power Play Percentage	22.79%
80.92%	Penalty Kill Percentage	78.29%

Predators
16-9-1, 33pts

FINAL

Blues
15-12-3, 33pts

Team Stats
W5	Streak	L2
8-5-0	Home Record	9-3-2
8-4-1	Away Record	6-9-1
7-2-1	Last 10 Games	4-4-2
4.31	Goals Per Game	3.30
3.92	Goals Against Per Game	3.43
22.79%	Power Play Percentage	18.98%
78.29%	Penalty Kill Percentage	80.92%

Blues
15-12-3, 33pts

Day 59

Lightning
9-14-5, 23pts

Team Stats
L2	Streak	OTL1
9-3-2	Home Record	5-5-4
6-9-1	Away Record	4-9-1
4-4-2	Last 10 Games	3-5-2
3.30	Goals Per Game	2.68
3.43	Goals Against Per Game	3.96
18.98%	Power Play Percentage	21.43%
80.92%	Penalty Kill Percentage	76.69%

Blues
15-12-3, 33pts

Day 61

Panthers
18-11-1, 37pts

Team Stats
L2	Streak	W2
9-3-2	Home Record	8-7-1
6-9-1	Away Record	10-4-0
4-4-2	Last 10 Games	6-4-0
3.30	Goals Per Game	3.30
3.43	Goals Against Per Game	2.73
18.98%	Power Play Percentage	15.49%
80.92%	Penalty Kill Percentage	80.49%

Blues
15-12-3, 33pts

Day 64

BlueJackets
20-7-2, 42pts

Team Stats
L2	Streak	W3
9-3-2	Home Record	8-4-2
6-9-1	Away Record	12-3-0
4-4-2	Last 10 Games	10-0-0
3.30	Goals Per Game	3.62
3.43	Goals Against Per Game	2.72
18.98%	Power Play Percentage	16.03%
80.92%	Penalty Kill Percentage	89.17%

Team Leaders
	Goals Sam Reinhart 18	Assists Boone Jenner 21

	Points Sam Reinhart 34	Plus/Minus Ivan Provorov 9

	Wins Ilya Sorokin 15	Save Percentage Ilya Sorokin 0.887

Team Stats
Goals For 99 3.30 GFG	Shots For 998 33.27 Avg	Power Play Percentage 19.0% 26 GF	Offensive Zone Start 41.2%
Goals Against 103 3.43 GAA	Shots Against 902 30.07 Avg	Penalty Kill Percentage 80.9% 25 GA	Defensive Zone Start 40.6%

Injury / Suspension
No Injury or Suspension.

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

Arena Info
	Name	Anheuser-Busch Center
	Capacity	25,000
	Attendance	21,017
	Season Tickets	10,000
Roster Info
	Pro Team	22
	Farm Team	23
	Contract Limit	45 / 50
	Prospects	2
Salary Cap
	Estimated Season Salary Cap	89,088,667$
	Available Salary Cap	911,333$
	Special Salary Cap Value	0$
	Players In Salary Cap	22
Finance
	Year to Date Revenue	26,271,414$
	Year To Date Expenses	29,139,168$
	Estimated Season Revenue	50,666,298$
	Estimated Season Expenses	62,949,480$
	Current Bank Account	294,251,516$
	Projected Bank Account	280,102,832$
Team History
	This Season	15-12-3 (33PTS)
	History	805-730-142 (0.480%)
	Playoff Appearances	10
	Playoff Record (W-L)	67-52
	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	Boone Jenner	X				97.00	79	51	87	86	67	84	61	75	86	78	72	82	60	86	85	35	27	74	0	32	4	5,000,000$
2	Brad Marchand		X			99.00	67	40	72	90	45	85	92	74	40	72	77	72	62	96	91	10	27	73	0	37	2	8,750,000$
3	Warren Foegele			X		100.00	61	51	84	83	67	82	99	68	40	62	74	82	40	80	81	50	27	71	0	29	1	3,500,000$
4	Taylor Hall			X		100.00	53	52	81	83	68	80	96	67	81	66	69	72	64	90	85	25	27	70	0	34	3	3,750,000$
5	Nic Dowd	X				100.00	77	48	76	79	60	80	99	59	85	53	64	90	40	92	86	20	27	70	0	35	5	2,200,000$
6	Zach Hyman		X			100.00	59	51	81	84	66	86	93	70	40	59	80	70	40	88	87	30	27	70	0	33	3	7,000,000$
7	Ross Colton		X			100.00	96	47	84	83	58	79	85	64	75	57	72	68	90	80	80	50	27	69	0	29	1	3,500,000$
8	Keegan Kolesar			X		100.00	99	71	77	78	73	77	99	60	40	58	62	70	40	78	78	55	31	68	0	28	1	1,900,000$
9	Lars Eller	X				100.00	57	52	81	77	69	77	98	56	87	52	60	68	73	94	86	15	27	65	0	36	1	2,750,000$
10	William Carrier		X			100.00	99	55	83	75	75	74	72	55	40	53	58	66	40	84	79	40	25	64	0	31	3	2,350,000$
11	Jimmy Vesey			X		100.00	57	51	90	75	67	72	72	53	40	46	60	62	70	86	79	35	22	61	0	32	1	2,500,000$
12	Kristopher Letang				X	100.00	78	47	76	83	58	89	94	64	40	63	65	82	71	98	94	5	27	75	0	38	2	5,500,000$
13	Darnell Nurse				X	100.00	90	67	71	79	77	87	95	64	40	70	58	81	40	82	85	45	32	75	0	30	1	7,500,000$
14	Ivan Provorov				X	100.00	48	55	82	81	70	89	99	63	40	66	61	87	40	78	84	55	27	73	0	28	5	6,000,000$
15	Radko Gudas				X	100.00	99	55	69	77	65	83	98	53	40	55	52	81	40	92	88	20	22	73	0	35	5	4,000,000$
16	Christopher Tanev				X	100.00	46	51	84	76	67	82	94	56	40	56	55	86	40	94	88	15	27	71	0	36	3	4,400,000$
17	Louis Crevier				X	100.00	91	63	84	75	91	79	65	52	40	43	62	74	40	70	75	75	27	69	0	24	1	600,000$
18	John Marino				X	100.00	46	49	89	81	63	85	67	62	40	70	54	78	40	78	82	55	12	68	0	28	4	3,900,000$
Scratches
1	Sam Reinhart			X		95.00	71	51	83	94	61	89	97	87	76	84	90	89	81	82	86	45	28	81	0	30	3	1$
2	Nick Schmaltz	X				95.03	44	44	87	90	53	86	99	77	84	83	70	69	77	80	83	50	15	73	0	29	5	6,375,000$
Farm Team
1	Conor Sheary			X		100.00	48	39	82	87	44	68	58	67	40	70	58	70	40	88	78	30	27	64	0	33	2	900,000$
2	Drake Caggiula		X			100.00	62	40	68	82	51	71	61	59	40	57	62	70	90	84	78	40	42	63	0	31	1	900,000$
3	Nick Cousins	X				100.00	80	48	74	81	52	74	77	57	40	55	60	66	69	86	80	35	27	63	0	32	2	850,000$
4	Jakub Vrana		X			100.00	51	48	85	81	60	72	70	60	40	51	69	57	76	80	76	50	27	62	0	29	1	1,000,000$
5	Michael Eyssimont	X				100.00	73	54	74	78	57	72	96	54	40	47	60	63	40	80	76	50	27	62	0	29	2	1,250,000$
6	Rasmus Kupari	X				100.00	71	51	85	75	66	72	83	51	88	44	57	67	40	72	72	70	27	61	0	25	1	1,224,000$
7	Nils Aman	X				100.00	67	45	88	79	55	72	56	58	73	62	54	62	40	72	72	70	27	61	0	25	1	900,000$
8	Filip Bystedt (R)		X			100.00	77	56	80	82	72	60	50	50	40	51	50	69	40	64	62	90	27	59	0	21	3	925,000$
9	Nick Bonino	X				100.00	45	49	86	75	62	60	50	50	86	47	52	64	76	96	78	10	22	58	0	37	2	2,000,000$
10	Lukas Rousek			X		100.00	48	40	78	76	60	81	71	49	40	60	38	61	40	74	78	65	27	58	0	26	2	750,000$
11	Adam Cracknell		X			100.00	63	47	87	75	73	60	50	49	40	44	55	51	40	99	80	0	27	57	0	40	1	1,900,000$
12	Hugh McGing		X			100.00	50	71	72	77	43	77	67	46	40	44	47	66	40	76	77	60	27	56	0	27	2	1,750,000$
13	Jasper Weatherby	X				100.00	64	58	78	75	77	60	50	41	70	36	45	59	40	76	68	60	22	54	0	27	1	1,550,000$
14	Ryan Shea				X	100.00	52	54	83	75	73	77	70	51	40	46	56	76	40	78	78	55	27	65	0	28	2	1,100,000$
15	Calvin deHaan				X	100.00	75	47	85	76	59	74	75	52	40	54	50	68	40	90	82	25	27	65	0	34	1	975,000$
16	Troy Stecher				X	100.00	52	45	82	78	49	73	88	50	40	45	56	65	40	84	79	40	27	63	0	31	2	1,750,000$
17	Jacob Bryson				X	100.00	47	40	86	79	44	74	76	51	40	52	50	65	40	78	76	55	27	61	0	28	1	2,000,000$
18	Jett Woo				X	100.00	74	49	63	75	64	71	66	37	40	40	34	70	99	72	72	70	27	61	0	25	1	1,200,000$
19	William Dufour		X			100.00	47	45	70	75	73	66	56	41	40	39	43	50	40	68	67	80	20	52	0	23	1	925,000$

	TEAM AVERAGE					99.64	66	51	80	80	63	76	78	58	52	56	59	70	53	83	80	43	26	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	Ilya Sorokin	98.00	92	99	99	96	87	86	87	90	89	89	84	82	84	45	20	87	0	30	1	6,000,000$
2	Ilya Samsonov	100.00	82	65	69	93	73	69	69	71	70	68	84	78	74	55	35	72	0	28	1	2,900,000$
Scratches
Farm Team
1	Martin Jones	100.00	85	50	60	95	50	50	50	50	50	50	50	92	71	20	34	60	0	35	2	900,000$
2	Aaron Dell	100.00	81	50	60	89	50	50	50	50	50	50	87	94	72	15	34	59	0	36	1	575,000$
3	Landon Bow	100.00	75	50	60	96	50	50	50	50	50	50	83	82	66	45	20	58	0	30	1	600,000$
4	Beck Warm	100.00	77	50	60	80	50	50	50	50	50	50	40	74	62	65	20	56	0	26	1	600,000$

	TEAM AVERAGE	99.67	82	61	68	92	60	59	59	60	60	60	71	84	72	41	27	65

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Todd McLellan	76	79	78	97	93	89	54	CAN	58	3	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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FW	FT	S1	S2	S3
1	Sam Reinhart	Blues	RW	29	18	16	34	1	22	0	65	81	128	42	93	14.06%	8	651	22.46	1	11	12	17	118	0	0	0	0	46	3	0	48.34%	151	1	1.04	0	3	0	0	2	4	2
2	Brad Marchand	Blues	LW	30	9	19	28	2	20	0	68	48	107	24	64	8.41%	5	675	22.52	5	3	8	31	120	1	0	1	3	65	1	2	30.77%	52	0	0.83	1	3	0	0	4	1	2
3	Ivan Provorov	Blues	D	30	9	18	27	9	16	0	43	26	44	21	25	20.45%	34	628	20.94	4	7	11	23	104	0	0	0	0	60	1	2	0.00%	0	0	0.86	0	0	0	0	3	0	2
4	Boone Jenner	Blues	C	30	4	21	25	-6	38	0	69	86	87	31	69	4.60%	8	584	19.50	1	10	11	18	116	0	0	0	0	47	0	1	55.05%	743	0	0.85	0	1	0	0	1	1	1
5	Warren Foegele	Blues	RW	30	8	14	22	0	6	0	19	45	119	26	87	6.72%	8	610	20.35	4	4	8	32	115	0	0	0	1	90	2	0	41.07%	56	0	0.72	0	0	0	0	2	0	0
6	Zach Hyman	Blues	LW	30	10	11	21	-1	8	0	27	35	79	25	73	12.66%	2	551	18.39	0	5	5	10	113	0	0	0	1	16	0	0	28.57%	35	0	0.76	0	0	0	0	0	1	0
7	Taylor Hall	Blues	RW	30	11	7	18	-6	0	0	4	43	62	19	46	17.74%	3	426	14.22	5	0	5	17	71	0	0	0	0	0	2	1	62.96%	27	0	0.84	0	0	0	0	2	1	0
8	Christopher Tanev	Blues	D	30	3	13	16	4	6	0	28	25	27	6	14	11.11%	25	503	16.79	0	0	0	1	9	0	0	0	0	63	0	0	0.00%	0	0	0.64	0	0	0	0	0	1	2
9	Nick Schmaltz	Blues	C	25	6	10	16	5	0	0	2	79	61	16	49	9.84%	5	533	21.35	2	2	4	14	99	0	0	0	1	23	1	0	49.20%	689	0	0.60	1	1	0	0	0	1	0
10	Kristopher Letang	Blues	D	30	4	10	14	-8	10	0	29	37	45	17	26	8.89%	38	769	25.67	2	2	4	20	128	1	1	2	1	113	1	0	0.00%	0	0	0.36	0	0	0	0	1	0	1
11	Darnell Nurse	Blues	D	30	2	12	14	-7	59	15	93	26	41	6	25	4.88%	42	715	23.85	1	3	4	25	127	0	1	1	1	90	0	1	0.00%	0	0	0.39	0	0	1	2	0	1	1
12	Nic Dowd	Blues	C	30	5	7	12	-3	14	0	31	67	67	20	51	7.46%	11	421	14.04	1	1	2	6	18	0	0	0	1	81	0	0	51.20%	582	0	0.57	0	0	0	0	0	1	0
13	Ross Colton	Blues	LW	30	7	5	12	-2	26	0	56	22	54	12	26	12.96%	2	330	11.00	0	0	0	0	1	0	0	0	0	26	1	0	52.78%	36	0	0.73	0	0	0	0	1	2	2
14	Lars Eller	Blues	C	30	1	3	4	-2	0	0	0	33	21	11	21	4.76%	3	233	7.77	0	0	0	0	1	0	1	1	0	40	1	0	57.14%	252	0	0.34	0	0	0	0	0	0	0
15	Radko Gudas	Blues	D	26	0	4	4	-1	54	10	79	14	16	7	16	0.00%	25	435	16.76	0	0	0	6	31	0	0	0	0	70	0	0	0.00%	0	0	0.18	0	0	1	1	0	0	1
16	John Marino	Blues	D	19	0	3	3	0	0	0	0	8	8	3	6	0.00%	18	205	10.79	0	0	0	1	1	0	0	0	0	18	0	0	0.00%	0	0	0.29	0	0	0	0	0	0	0
17	Louis Crevier	Blues	D	30	0	2	2	-7	20	0	51	4	18	3	6	0.00%	24	293	9.77	0	0	0	0	0	0	0	0	0	28	0	0	0.00%	0	0	0.14	0	0	0	0	0	0	0
18	Keegan Kolesar	Blues	RW	5	0	1	1	2	9	5	3	0	2	0	2	0.00%	1	24	4.81	0	0	0	0	0	0	0	0	0	1	0	0	57.14%	7	0	0.83	0	0	0	1	0	0	0
19	William Carrier	Blues	LW	29	0	1	1	-6	15	5	26	6	9	1	14	0.00%	2	142	4.91	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	8	0	0.14	0	0	1	0	0	0	0
20	Jimmy Vesey	Blues	RW	17	0	0	0	-3	0	0	0	1	3	2	6	0.00%	1	78	4.62	0	0	0	0	1	0	0	0	0	0	0	0	20.00%	5	0	0.00	0	0	0	0	0	0	0
Team Total or Average				540	97	177	274	-29	323	35	693	686	998	292	719	9.72%	265	8815	16.32	26	48	74	221	1180	2	3	5	9	885	13	7	51.34%	2643	1	0.62	2	8	3	4	16	14	14

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	GA	SA	A	PS %	PSA	ST	BG	S2	S3
1	Ilya Sorokin	Blues	30	15	11	3	0.887	3.37	1728	97	862	1	0.889	9	30	0	2	1
2	Ilya Samsonov	Blues	3	0	1	0	0.875	3.41	88	5	40	0	0.000	0	0	30	0	0
Team Total or Average			33	15	12	3	0.887	3.37	1817	102	902	1	0.889	9	30	30	2	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	2039	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	2040	2041	2042	2043	2044	Link
Boone Jenner	Blues	C	32	1993-06-15	No	203 Lbs	6 ft2	No	No	Yes	4	Pro Only	5,000,000$	5,000,000$	3,370,787$	No	5,000,000$	5,000,000$	5,000,000$	UFA		Link / NHL Link
Brad Marchand	Blues	LW	37	1988-05-11	No	180 Lbs	5 ft9	No	No	Yes	2	Pro Only	8,750,000$	8,750,000$	5,898,876$	No	8,750,000$	UFA				Link / NHL Link
Christopher Tanev	Blues	D	36	1989-12-20	No	199 Lbs	6 ft3	No	No	Yes	3	Pro & Farm	4,400,000$	4,400,000$	2,966,292$	No	4,400,000$	4,400,000$	UFA			Link / NHL Link
Darnell Nurse	Blues	D	30	1995-02-04	No	215 Lbs	6 ft4	No	No	Yes	1	Pro Only	7,500,000$	7,500,000$	5,056,180$	No	UFA					Link / NHL Link
Ilya Samsonov	Blues	G	28	1997-02-22	No	200 Lbs	6 ft3	No	No	Yes	1	Pro & Farm	2,900,000$	2,900,000$	1,955,056$	No	UFA					Link / NHL Link
Ilya Sorokin	Blues	G	30	1995-08-04	No	190 Lbs	6 ft3	No	No	Yes	1	Pro Only	6,000,000$	6,000,000$	4,044,944$	No	UFA					Link / NHL Link
Ivan Provorov	Blues	D	28	1997-01-13	No	213 Lbs	6 ft1	No	No	Yes	5	Pro Only	6,000,000$	6,000,000$	4,044,944$	No	6,000,000$	6,000,000$	6,000,000$	6,000,000$	UFA	Link / NHL Link
Jimmy Vesey	Blues	RW	32	1993-05-26	No	203 Lbs	6 ft2	No	No	Yes	1	Pro & Farm	2,500,000$	2,500,000$	1,685,393$	No	UFA					Link / NHL Link
John Marino	Blues	D	28	1997-05-21	No	200 Lbs	6 ft1	No	No	Yes	4	Pro & Farm	3,900,000$	3,900,000$	2,629,213$	No	3,900,000$	3,900,000$	3,900,000$	UFA		Link / NHL Link
Keegan Kolesar	Blues	RW	28	1997-04-08	No	216 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,900,000$	1,900,000$	1,280,899$	No	UFA					Link / NHL Link
Kristopher Letang	Blues	D	38	1987-04-24	No	193 Lbs	6 ft0	No	No	Yes	2	Pro Only	5,500,000$	5,500,000$	3,707,865$	No	5,500,000$	UFA				Link / NHL Link
Lars Eller	Blues	C	36	1989-05-08	No	208 Lbs	6 ft2	No	No	Yes	1	Pro & Farm	2,750,000$	2,750,000$	1,853,933$	No	UFA					Link / NHL Link
Louis Crevier	Blues	D	24	2001-05-04	No	228 Lbs	6 ft8	No	No	No	1	Pro & Farm	600,000$	600,000$	404,494$	No	RFA					Link / NHL Link
Nic Dowd	Blues	C	35	1990-05-27	No	190 Lbs	6 ft2	Yes	No	Yes	5	Pro & Farm	2,200,000$	2,200,000$	1,483,146$	No	2,200,000$	2,200,000$	2,200,000$	2,200,000$	UFA	Link / NHL Link
Nick Schmaltz	Blues	C	29	1996-02-23	No	184 Lbs	6 ft0	No	No	Yes	5	Pro Only	6,375,000$	6,375,000$	4,297,753$	No	6,375,000$	6,375,000$	6,375,000$	6,375,000$	UFA	Link / NHL Link
Radko Gudas	Blues	D	35	1990-06-05	No	208 Lbs	6 ft0	Yes	No	Yes	5	Pro & Farm	4,000,000$	4,000,000$	2,696,629$	No	4,000,000$	4,000,000$	4,000,000$	4,000,000$	UFA	Link / NHL Link
Ross Colton	Blues	LW	29	1996-09-11	No	194 Lbs	6 ft0	No	No	Yes	1	Pro & Farm	3,500,000$	3,500,000$	2,359,551$	No	UFA					Link / NHL Link
Sam Reinhart (Out of Payroll)	Blues	RW	30	1995-11-06	No	196 Lbs	6 ft1	Yes	No	Yes	3	Pro Only	1$	1$	1$	No	7,200,000$	7,200,000$	UFA			Link / NHL Link
Taylor Hall	Blues	RW	34	1991-11-14	No	210 Lbs	6 ft1	No	No	Yes	3	Pro & Farm	3,750,000$	3,750,000$	2,528,090$	No	3,750,000$	3,750,000$	UFA			Link / NHL Link
Warren Foegele	Blues	RW	29	1996-04-01	No	204 Lbs	6 ft2	No	No	Yes	1	Pro & Farm	3,500,000$	3,500,000$	2,359,551$	No	UFA					Link / NHL Link
William Carrier	Blues	LW	31	1994-12-20	No	220 Lbs	6 ft2	No	No	Yes	3	Pro & Farm	2,350,000$	2,350,000$	1,584,270$	No	2,350,000$	2,350,000$	UFA			Link / NHL Link
Zach Hyman	Blues	LW	33	1992-06-09	No	206 Lbs	6 ft1	No	No	Yes	3	Pro Only	7,000,000$	7,000,000$	4,719,101$	No	7,000,000$	7,000,000$	UFA			Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	31.45	203 Lbs	6 ft2	2.55	4,107,955$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
90,375,001$	66,425,000$	52,175,000$	27,475,000$	18,575,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brad Marchand	Boone Jenner	Warren Foegele	40	1	2	2
2	Zach Hyman	Nic Dowd	Taylor Hall	30	1	2	2
3	Ross Colton	Lars Eller	Keegan Kolesar	20	1	2	2
4	William Carrier	Boone Jenner	Jimmy Vesey	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Darnell Nurse	Kristopher Letang	40	1	2	2
2	Ivan Provorov	Radko Gudas	30	1	2	2
3	Christopher Tanev	Louis Crevier	20	1	2	2
4	John Marino	Darnell Nurse	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brad Marchand	Boone Jenner	Warren Foegele	60	1	2	2
2	Zach Hyman	Nic Dowd	Taylor Hall	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Darnell Nurse	Kristopher Letang	60	1	2	2
2	Ivan Provorov	Radko Gudas	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Boone Jenner	Brad Marchand	60	1	2	2
2	Warren Foegele	Zach Hyman	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Darnell Nurse	Kristopher Letang	60	1	2	2
2	Ivan Provorov	Radko Gudas	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Boone Jenner	60	1	2	2	Darnell Nurse	Kristopher Letang	60	1	2	2
2	Brad Marchand	40	1	2	2	Ivan Provorov	Radko Gudas	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Boone Jenner	Brad Marchand	60	1	2	2
2	Warren Foegele	Zach Hyman	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Darnell Nurse	Kristopher Letang	60	1	2	2
2	Ivan Provorov	Radko Gudas	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Brad Marchand	Boone Jenner	Warren Foegele	Darnell Nurse	Kristopher Letang

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Brad Marchand	Boone Jenner	Warren Foegele	Darnell Nurse	Kristopher Letang

Extra Forwards
Normal	PowerPlay	Penalty Kill
Ross Colton, Keegan Kolesar, Lars Eller	Ross Colton, Keegan Kolesar	Lars Eller

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Christopher Tanev, Louis Crevier, John Marino	Christopher Tanev	Louis Crevier, John Marino

Penalty Shots
Boone Jenner, Brad Marchand, Warren Foegele, Zach Hyman, Nic Dowd

Goalie
#1 : Ilya Sorokin, #2 : Ilya Samsonov

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	Avalanche	2	2	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	2	1	1	4	1.000	7	13	20	0	0	3	4	0	0	83	17	33	33	0	46	14	14	48	7	0	0.00%	6	2	66.67%	1	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	55	39	39	13	25	13
2	Blackhawks	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	3	2	1	2	1.000	3	6	9	0	0	0	0	2	1	39	8	10	17	4	26	8	6	20	6	1	16.67%	3	0	100.00%	0	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	25	16	23	7	13	6
3	Bruins	1	0	0	0	0	1	0	0	3	4	-1	1	0	0	0	0	1	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	3	5	8	0	0	0	2	1	0	35	7	8	20	0	31	7	6	29	3	0	0.00%	3	1	66.67%	0	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	26	17	22	7	12	6
4	Canucks	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	6	10	0	0	2	2	0	0	27	7	13	7	0	34	10	4	25	3	0	0.00%	2	0	100.00%	0	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	25	18	22	6	11	6
5	Devils	2	2	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	5	1	4	4	1.000	8	15	23	0	0	2	4	2	0	63	15	27	21	0	61	14	23	45	12	2	16.67%	9	0	100.00%	0	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	46	30	47	14	26	13
6	Ducks	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	10	15	0	0	3	2	0	0	45	18	17	10	0	23	6	8	22	7	3	42.86%	4	0	100.00%	0	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	25	18	22	7	12	6
7	Flyers	1	0	0	0	0	0	0	1	2	3	-1	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	2	3	5	0	0	1	0	1	0	16	7	2	6	4	35	10	33	19	0	0	0.00%	8	0	100.00%	0	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	20	13	30	9	13	5
8	GoldenKnights	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	2	1	1	0	25	11	7	7	0	30	11	15	22	6	1	16.67%	4	0	100.00%	0	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	27	20	21	7	11	5
9	Hurricanes	1	0	1	0	0	0	0	0	4	7	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	4	7	-3	0	0.000	4	7	11	0	0	0	2	2	0	26	3	9	14	0	41	10	13	30	3	1	33.33%	4	1	75.00%	0	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	19	12	28	8	12	6
10	Kings	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	1	1	0	0	33	8	16	9	0	28	12	8	19	6	1	16.67%	4	1	75.00%	0	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	24	16	21	7	13	7
11	Lightning	1	0	0	0	0	0	1	0	2	1	1	1	0	0	0	0	0	1	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	1	3	0	0	0	0	1	1	40	13	10	14	5	19	7	6	22	7	0	0.00%	3	0	100.00%	0	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	28	19	23	8	13	6
12	Mammoth	2	1	1	0	0	0	0	0	10	9	1	1	0	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	5	3	2	2	0.500	10	18	28	0	0	4	2	4	0	85	26	28	31	0	51	19	14	57	10	2	20.00%	6	2	66.67%	0	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	55	41	41	13	23	11
13	MapleLeafs	1	1	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	6	2	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	11	17	0	0	4	0	2	0	36	9	15	12	0	27	5	11	20	5	2	40.00%	3	0	100.00%	0	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	28	21	19	6	12	6
14	Oilers	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	1	3	0	0	33	4	15	14	0	25	10	8	18	3	1	33.33%	3	0	100.00%	0	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	25	19	23	7	11	5
15	Penguins	1	0	1	0	0	0	0	0	0	4	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	0	0	0	0	0	0	0	0	0	30	7	8	15	0	34	9	20	24	5	0	0.00%	9	3	66.67%	0	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	22	14	25	7	11	5
16	Predators	3	0	2	0	0	0	1	0	12	17	-5	2	0	1	0	0	0	1	0	9	10	-1	1	0	1	0	0	0	0	0	3	7	-4	2	0.333	12	21	33	0	0	5	3	3	1	102	38	32	30	5	137	37	51	76	9	4	44.44%	22	7	68.18%	0	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	71	50	76	21	36	17
17	Rangers	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	2	3	0	0	1	0	0	0	37	15	10	12	0	36	14	4	28	5	1	20.00%	2	1	50.00%	0	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	27	18	20	7	12	6
18	RedWings	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	1	2	0	0	25	10	7	8	0	34	6	6	22	5	1	20.00%	3	0	100.00%	0	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	21	14	25	7	12	6
19	Sabres	1	0	1	0	0	0	0	0	1	5	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	1	2	3	0	0	1	0	0	0	27	8	6	13	0	42	12	12	19	3	0	0.00%	6	1	83.33%	0	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	20	13	28	7	11	5
20	Senators	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	1	1	0	0	27	9	9	9	0	14	7	4	23	5	1	20.00%	2	1	50.00%	0	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	23	15	23	7	13	6
21	Sharks	1	1	0	0	0	0	0	0	7	3	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	3	4	2	1.000	7	12	19	0	0	2	2	3	0	32	16	8	8	0	24	6	10	22	3	1	33.33%	5	1	80.00%	1	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	22	14	24	7	13	6
22	Stars	2	1	0	0	0	1	0	0	6	5	1	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	0	1	0	0	2	3	-1	3	0.750	6	11	17	0	0	4	0	2	0	86	21	32	33	0	36	14	18	41	11	2	18.18%	8	2	75.00%	0	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	52	37	43	13	24	13
23	Wild	2	0	2	0	0	0	0	0	3	11	-8	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	3	11	-8	0	0.000	3	5	8	0	0	1	1	1	0	46	22	11	13	0	68	17	29	42	13	2	15.38%	12	2	83.33%	0	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	42	26	52	16	24	11
	Total	30	12	12	0	1	2	2	1	99	103	-4	14	7	3	0	0	1	2	1	54	44	10	16	5	9	0	1	1	0	0	45	59	-14	33	0.550	99	177	276	0	0	39	32	25	3	998	299	333	356	18	902	265	323	693	137	26	18.98%	131	25	80.92%	2	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	738	512	708	222	374	189
	_Since Last GM Reset	30	12	12	0	1	2	2	1	99	103	-4	14	7	3	0	0	1	2	1	54	44	10	16	5	9	0	1	1	0	0	45	59	-14	33	0.550	99	177	276	0	0	39	32	25	3	998	299	333	356	18	902	265	323	693	137	26	18.98%	131	25	80.92%	2	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	738	512	708	222	374	189
	_Vs Conference	18	9	6	0	1	1	1	0	67	65	2	8	5	2	0	0	0	1	0	35	28	7	10	4	4	0	1	1	0	0	32	37	-5	23	0.639	67	121	188	0	0	28	21	16	2	636	196	222	212	9	528	164	185	412	84	18	21.43%	79	17	78.48%	2	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	453	320	413	130	222	113
	_Vs Division	10	3	4	0	1	1	1	0	31	38	-7	4	2	1	0	0	0	1	0	18	14	4	6	1	3	0	1	1	0	0	13	24	-11	11	0.550	31	56	87	0	0	13	8	8	2	356	106	118	126	9	313	90	118	227	46	9	19.57%	51	13	74.51%	1	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	247	171	236	72	125	63

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
30	33	L2	99	177	276	998	902	265	323	693	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
30	12	12	1	2	2	1	99	103

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	7	3	0	1	2	1	54	44

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	5	9	1	1	0	0	45	59

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	4	0	2	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
137	26	18.98%	131	25	80.92%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
299	333	356	18	39	32	25	3

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
579	1079	53.66%	533	1065	50.05%	245	476	51.47%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
738	512	708	222	374	189

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
1	14	Canucks	3	Blues	4	BW			BoxScore
3	27	Flyers	3	Blues	2	BL	X	X	BoxScore
4	32	Blues	3	Blackhawks	2	AW	X		BoxScore
6	50	Avalanche	2	Blues	5	BW			BoxScore
8	62	Blues	5	Devils	1	AW			BoxScore
9	73	Blues	1	Rangers	2	AL			BoxScore
13	100	GoldenKnights	2	Blues	4	BW			BoxScore
15	118	Lightning	1	Blues	2	BW	X	X	BoxScore
17	135	RedWings	4	Blues	3	BL			BoxScore
19	150	Oilers	3	Blues	4	BW			BoxScore
21	156	Blues	1	Sabres	5	AL			BoxScore
22	170	Blues	0	Penguins	4	AL			BoxScore
24	186	Blues	2	Senators	3	AL			BoxScore
26	199	Mammoth	6	Blues	5	BL			BoxScore
29	222	Blues	7	Sharks	3	AW			BoxScore
31	235	Blues	2	Kings	4	AL			BoxScore
32	240	Blues	5	Ducks	3	AW			BoxScore
36	271	Stars	2	Blues	4	BW			BoxScore
37	276	Blues	4	Hurricanes	7	AL			BoxScore
40	301	Predators	5	Blues	6	BW	X	X	BoxScore
42	314	Blues	2	Wild	5	AL			BoxScore
43	325	Bruins	4	Blues	3	BL	X		BoxScore
45	333	Blues	2	Stars	3	AL	X		BoxScore
47	356	MapleLeafs	2	Blues	6	BW			BoxScore
49	366	Blues	1	Wild	6	AL			BoxScore
50	372	Blues	2	Avalanche	1	AW			BoxScore
52	385	Blues	5	Mammoth	3	AW			BoxScore
54	406	Devils	2	Blues	3	BW			BoxScore
56	418	Blues	3	Predators	7	AL			BoxScore
57	430	Predators	5	Blues	3	BL			BoxScore
59	448	Blues	-	Lightning	-
61	456	Blues	-	Panthers	-
64	471	Blues	-	BlueJackets	-
70	502	Blues	-	Ducks	-
72	515	Blues	-	Kings	-
74	530	Senators	-	Blues	-
76	540	Blues	-	Bruins	-
78	558	Blues	-	Islanders	-
79	567	Blues	-	Capitals	-
81	576	Blues	-	Stars	-
83	598	Canadiens	-	Blues	-
85	611	Stars	-	Blues	-
86	618	Blues	-	Flyers	-
88	635	Islanders	-	Blues	-
90	650	Capitals	-	Blues	-
93	672	Rangers	-	Blues	-
95	686	Penguins	-	Blues	-
97	701	Sabres	-	Blues	-
99	718	Blues	-	Flames	-
101	741	Blues	-	Canucks	-
103	749	Blues	-	Oilers	-
105	765	Flames	-	Blues	-
107	785	Avalanche	-	Blues	-
110	805	Panthers	-	Blues	-
112	816	Canucks	-	Blues	-
114	832	Blues	-	Jets	-
116	846	Oilers	-	Blues	-
120	866	Blues	-	Mammoth	-
121	880	Blues	-	Avalanche	-
123	893	Blues	-	RedWings	-
127	923	Jets	-	Blues	-
128	937	Predators	-	Blues	-
129	950	Blues	-	Predators	-
131	962	Kings	-	Blues	-
133	979	Blues	-	Sharks	-
134	985	Blues	-	GoldenKnights	-
136	996	Blues	-	Blackhawks	-
139	1017	Wild	-	Blues	-
141	1033	Sharks	-	Blues	-
144	1055	Hurricanes	-	Blues	-
147	1075	Wild	-	Blues	-
149	1091	GoldenKnights	-	Blues	-
154	1122	Blackhawks	-	Blues	-
156	1138	BlueJackets	-	Blues	-
159	1154	Blues	-	Jets	-
161	1167	Blues	-	MapleLeafs	-
164	1185	Blues	-	Canadiens	-
167	1200	Ducks	-	Blues	-
168	1204	Blues	-	Blackhawks	-
169	1226	Flames	-	Blues	-
Trade Deadline --- Trades can’t be done after this day is simulated!
174	1253	Blackhawks	-	Blues	-
176	1266	Jets	-	Blues	-

Depth Chart

Left Wing

Center

Right Wing

Brad Marchand

AGE:37
SK:		90
EN:		85
DU:		92
PH:		74
PA:		72
SC:		77
DF:		72
Zach Hyman

AGE:33
SK:		84
EN:		86
DU:		93
PH:		70
PA:		59
SC:		80
DF:		70
Ross Colton

AGE:29
SK:		83
EN:		79
DU:		85
PH:		64
PA:		57
SC:		72
DF:		68
William Carrier

AGE:31
SK:		75
EN:		74
DU:		72
PH:		55
PA:		53
SC:		58
DF:		66
Drake Caggiula

AGE:31
SK:		82
EN:		71
DU:		61
PH:		59
PA:		57
SC:		62
DF:		70
Jakub Vrana

AGE:29
SK:		81
EN:		72
DU:		70
PH:		60
PA:		51
SC:		69
DF:		57
Filip Bystedt (R)

AGE:21
SK:		82
EN:		60
DU:		50
PH:		50
PA:		51
SC:		50
DF:		69
Adam Cracknell

AGE:40
SK:		75
EN:		60
DU:		50
PH:		49
PA:		44
SC:		55
DF:		51
Hugh McGing

AGE:27
SK:		77
EN:		77
DU:		67
PH:		46
PA:		44
SC:		47
DF:		66
William Dufour

AGE:23
SK:		75
EN:		66
DU:		56
PH:		41
PA:		39
SC:		43
DF:		50

Boone Jenner

AGE:32
SK:		86
EN:		84
DU:		61
PH:		75
PA:		78
SC:		72
DF:		82
Nick Schmaltz

AGE:29
SK:		90
EN:		86
DU:		99
PH:		77
PA:		83
SC:		70
DF:		69
Nic Dowd

AGE:35
SK:		79
EN:		80
DU:		99
PH:		59
PA:		53
SC:		64
DF:		90
Lars Eller

AGE:36
SK:		77
EN:		77
DU:		98
PH:		56
PA:		52
SC:		60
DF:		68
Nick Cousins

AGE:32
SK:		81
EN:		74
DU:		77
PH:		57
PA:		55
SC:		60
DF:		66
Michael Eyssimont

AGE:29
SK:		78
EN:		72
DU:		96
PH:		54
PA:		47
SC:		60
DF:		63
Rasmus Kupari

AGE:25
SK:		75
EN:		72
DU:		83
PH:		51
PA:		44
SC:		57
DF:		67
Nils Aman

AGE:25
SK:		79
EN:		72
DU:		56
PH:		58
PA:		62
SC:		54
DF:		62
Nick Bonino

AGE:37
SK:		75
EN:		60
DU:		50
PH:		50
PA:		47
SC:		52
DF:		64
Jasper Weatherby

AGE:27
SK:		75
EN:		60
DU:		50
PH:		41
PA:		36
SC:		45
DF:		59

Sam Reinhart

AGE:30
SK:		94
EN:		89
DU:		97
PH:		87
PA:		84
SC:		90
DF:		89
Warren Foegele

AGE:29
SK:		83
EN:		82
DU:		99
PH:		68
PA:		62
SC:		74
DF:		82
Taylor Hall

AGE:34
SK:		83
EN:		80
DU:		96
PH:		67
PA:		66
SC:		69
DF:		72
Keegan Kolesar

AGE:28
SK:		78
EN:		77
DU:		99
PH:		60
PA:		58
SC:		62
DF:		70
Conor Sheary

AGE:33
SK:		87
EN:		68
DU:		58
PH:		67
PA:		70
SC:		58
DF:		70
Jimmy Vesey

AGE:32
SK:		75
EN:		72
DU:		72
PH:		53
PA:		46
SC:		60
DF:		62
Lukas Rousek

AGE:26
SK:		76
EN:		81
DU:		71
PH:		49
PA:		60
SC:		38
DF:		61

Defense #1

Defense #2

Goalie

Darnell Nurse

AGE:30
SK:		79
EN:		87
DU:		95
PH:		64
PA:		70
SC:		58
DF:		81
Kristopher Letang

AGE:38
SK:		83
EN:		89
DU:		94
PH:		64
PA:		63
SC:		65
DF:		82
Ivan Provorov

AGE:28
SK:		81
EN:		89
DU:		99
PH:		63
PA:		66
SC:		61
DF:		87
Radko Gudas

AGE:35
SK:		77
EN:		83
DU:		98
PH:		53
PA:		55
SC:		52
DF:		81
Christopher Tanev

AGE:36
SK:		76
EN:		82
DU:		94
PH:		56
PA:		56
SC:		55
DF:		86
Louis Crevier

AGE:24
SK:		75
EN:		79
DU:		65
PH:		52
PA:		43
SC:		62
DF:		74

John Marino

AGE:28
SK:		81
EN:		85
DU:		67
PH:		62
PA:		70
SC:		54
DF:		78
Ryan Shea

AGE:28
SK:		75
EN:		77
DU:		70
PH:		51
PA:		46
SC:		56
DF:		76
Calvin deHaan

AGE:34
SK:		76
EN:		74
DU:		75
PH:		52
PA:		54
SC:		50
DF:		68
Troy Stecher

AGE:31
SK:		78
EN:		73
DU:		88
PH:		50
PA:		45
SC:		56
DF:		65
Jett Woo

AGE:25
SK:		75
EN:		71
DU:		66
PH:		37
PA:		40
SC:		34
DF:		70
Jacob Bryson

AGE:28
SK:		79
EN:		74
DU:		76
PH:		51
PA:		52
SC:		50
DF:		65

Ilya Sorokin

AGE:30
SK:		92
AG:		87
RB:		86
SC:		87
HS:		90
RT:		89
DF:		89
Ilya Samsonov

AGE:28
SK:		82
AG:		73
RB:		69
SC:		69
HS:		71
RT:		70
DF:		68
Martin Jones

AGE:35
SK:		85
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Aaron Dell

AGE:36
SK:		81
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Landon Bow

AGE:30
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Beck Warm

AGE:26
SK:		77
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
Jacob Leguerrier	Blues	2033	161
Patrick Holway	Blues	2032	168

Draft Picks

Draft Picks
Year	R1	R2	R3	R4	R5	R6	R7
2041
2042

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	Shane Doan	527	183	243	426	-119	638	1410	1138	1829	10.01%	180	13299	25.24	56	101	157	525	9	4	13	66	22	7	35.24%	0	0.64	7	50
5	Nick Schmaltz	418	151	243	394	56	34	68	907	1348	11.20%	82	8126	19.44	33	91	124	330	5	3	8	24	20	4	49.92%	6	0.97	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	Juuse Saros	197	106	67	17	0.903	2.99	11573	12	8	576	5932	0	10	1	0.738	61
4	Ilya Sorokin	111	75	31	4	0.906	2.83	6511	10	6	307	3249	0	6	2	0.885	26
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	30	12	12	0	1	2	2	1	99	103	-4	14	7	3	0	0	1	2	1	54	44	10	16	5	9	0	1	1	0	0	45	59	-14	33	99	177	276	0	0	39	32	25	3	998	299	333	356	18	902	265	323	693	137	26	18.98%	131	25	80.92%	2	579	1079	53.66%	533	1065	50.05%	245	476	51.47%	738	512	708	222	374	189
Total Regular Season	1670	655	730	0	65	58	85	77	5323	5586	-263	834	343	353	0	27	31	44	36	2709	2727	-18	836	312	377	0	38	27	41	41	2614	2859	-245	1647	5323	9243	14566	26	50	315	1735	1729	1412	52081	2249	16668	17551	15169	53884	15914	22105	38238	7791	1556	19.97%	8347	1716	79.44%	92	28630	56972	50.25%	27909	58960	47.34%	13130	26889	48.83%	38388	25213	39969	13316	23081	11442
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
Total Playoff	119	67	52	0	0	0	0	0	441	393	48	60	31	29	0	0	0	0	0	229	218	11	59	36	23	0	0	0	0	0	212	175	37	134	441	784	1225	1	1	59	139	160	79	3942	450	1255	1299	847	3846	1149	1373	2649	628	139	22.13%	570	111	80.53%	5	2224	4495	49.48%	2133	4387	48.62%	1023	2037	50.22%	2918	1980	2874	918	1583	801

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	64	34	38	72	1	14	48	130	260	13.08%	17	1336	20.88	10	16	26	55	0	0	4	6	2	50.99%	1.08
2	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
3	Zach Hyman	41	19	34	53	4	28	70	44	189	10.05%	7	1008	24.60	8	12	20	53	0	0	2	2	1	32.47%	1.05
4	Drew Doughty	46	9	40	49	-4	71	151	80	121	7.44%	68	1181	25.68	5	18	23	86	1	1	2	1	0	0.00%	0.83
5	Nick Schmaltz	55	15	34	49	6	17	9	111	163	9.20%	11	1019	18.53	4	9	13	33	1	1	2	6	1	53.51%	0.96

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	24	16	6	2	0.877	3.90	1432	6	0	93	757	0	1	0
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