National sim Hockey League - St. Louis Blues

Cleveland Monsters
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Depth
History
Last Transactions
Injury / Suspension
Web Roster Editor
Web Lines Editor

Show or Hide Column

Filter Tips

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

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Vincent Trocheck	X				100.00	78	33	80	78	76	96	98	83	80	81	81	77	77	80	80	0	50	76	2
2	Patric Hornqvist (A)		X			100.00	77	42	85	73	75	92	98	80	72	78	77	74	77	99	99	0	50	75	2
3	Craig Smith	X		X		100.00	75	35	90	77	75	95	97	79	70	79	77	75	72	84	80	0	50	74	1
4	Jason Spezza	X		X		100.00	75	47	82	73	76	90	80	80	82	79	77	76	73	99	99	0	50	74	1
5	Brandon Saad		X	X		100.00	73	39	87	78	79	90	95	80	60	77	77	73	70	70	70	0	50	73	1
6	Tomas Hertl	X	X	X		100.00	74	35	90	77	80	88	90	77	77	75	74	78	69	80	75	0	50	73	1
7	Chris Tierney	X				100.00	68	30	94	75	76	86	93	76	75	75	74	76	70	78	74	0	50	72	1
8	Brian Boyle	X	X	X		100.00	80	50	83	68	80	80	92	74	77	72	72	78	65	97	85	0	50	72	1
9	J.T. Miller	X	X	X		100.00	78	33	79	77	80	89	96	76	70	75	75	73	73	71	73	0	50	72	1
10	Radek Faksa (R)	X	X			100.00	74	32	87	74	76	85	80	75	74	70	70	75	72	69	69	0	50	70	0
11	Vinnie Hinostroza (R)	X	X	X		100.00	70	32	92	78	68	83	85	74	70	71	71	73	74	60	60	0	50	69	0
12	Remi Elie (R)		X			100.00	75	34	83	71	78	81	84	72	60	70	69	74	68	63	60	0	50	68	0
13	Justin Faulk				X	100.00	77	37	85	77	75	92	96	75	30	76	72	74	65	72	70	0	50	73	1
14	Esa Lindell				X	100.00	74	30	88	75	76	93	96	75	30	74	70	78	46	70	70	0	50	73	1
15	Andrej Sustr				X	100.00	74	35	83	76	90	89	95	71	30	70	60	77	52	77	70	0	50	73	1
16	Olli Maatta				X	100.00	70	40	88	77	75	92	94	73	30	70	70	74	65	64	70	0	50	71	1
17	Stephen Johns				X	100.00	80	43	78	75	83	88	82	72	30	69	60	77	36	65	66	0	50	71	1
18	Troy Stecher				X	100.00	71	33	85	77	69	90	94	72	30	72	63	75	56	66	62	0	50	71	0
Scratches
1	Chris Kunitz		X			100.00	80	45	80	68	71	80	80	72	71	71	70	71	69	99	99	0	50	70	0
2	Mark Borowiecki				X	100.00	83	62	65	70	77	80	82	64	30	62	58	74	35	78	80	0	50	69	0

	TEAM AVERAGE					100.00	75	38	84	75	77	88	90	75	57	73	71	75	64	77	76	0	50	72

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Scott Darling	100.00	82	90	90	92	80	90	92	87	87	85	85	88	88	0	50	85	1
2	Juuse Saros (R)	100.00	87	85	83	79	88	87	87	89	93	83	82	74	64	0	50	83	0
Scratches

	TEAM AVERAGE	100.00	85	88	87	86	84	89	90	88	90	84	84	81	76	0	50	84

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Mike Sullivan	80	82	85	75	85	90	87	USA	50	2	1,000,000$

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	EG	P/20	PSG	PSS	FL	S1	S2	S3
1	Vincent Trocheck	St. Louis Blues	C	34	9	16	25	-8	6	0	54	86	114	38	85	7.89%	8	612	18.02	5	2	7	28	86	0	0	0	0	1	1	0	51.04%	768	0	0.82	0	3	0	1	0	3
2	Patric Hornqvist	St. Louis Blues	LW	34	8	12	20	-14	14	0	52	30	98	27	86	8.16%	6	593	17.45	1	4	5	19	87	0	0	0	0	0	1	1	37.84%	37	0	0.67	1	3	0	1	1	1
3	J.T. Miller	St. Louis Blues	C/LW/RW	34	7	12	19	1	10	0	48	56	73	30	77	9.59%	4	550	16.19	0	4	4	12	85	0	0	0	0	0	0	0	45.71%	35	0	0.69	0	2	0	0	0	1
4	Brandon Saad	St. Louis Blues	LW/RW	34	8	10	18	-13	6	0	36	34	107	26	76	7.48%	5	589	17.34	1	4	5	22	86	0	0	0	0	0	1	0	44.64%	56	0	0.61	0	1	0	0	1	0
5	Justin Faulk	St. Louis Blues	D	34	4	14	18	0	24	0	79	36	41	17	30	9.76%	47	701	20.64	1	2	3	20	88	0	0	0	0	32	1	0	0.00%	0	0	0.51	0	0	0	0	1	1
6	Craig Smith	St. Louis Blues	C/RW	34	9	8	17	0	4	0	45	55	94	22	63	9.57%	1	599	17.64	1	4	5	16	88	0	0	0	0	11	2	0	50.00%	44	0	0.57	0	1	0	1	2	0
7	Jason Spezza	St. Louis Blues	C/RW	34	6	10	16	0	10	0	47	103	76	17	72	7.89%	3	597	17.56	1	3	4	13	89	0	0	0	0	0	0	1	52.56%	782	0	0.54	0	3	0	0	2	3
8	Olli Maatta	St. Louis Blues	D	34	4	9	13	9	8	0	37	26	48	13	30	8.33%	42	720	21.18	2	4	6	24	86	0	1	1	0	82	1	0	0.00%	0	0	0.36	0	0	0	1	2	0
9	Chris Tierney	St. Louis Blues	C	34	4	7	11	-3	2	0	19	56	58	21	40	6.90%	5	540	15.91	0	0	0	0	0	0	0	0	1	87	1	0	48.52%	676	0	0.41	0	0	0	1	0	0
10	Tomas Hertl	St. Louis Blues	C/LW/RW	34	7	4	11	3	10	0	36	61	72	15	53	9.72%	6	590	17.36	3	1	4	20	89	0	0	0	0	0	1	0	60.00%	45	0	0.37	0	0	0	0	1	0
11	Troy Stecher	St. Louis Blues	D	34	1	8	9	-12	16	0	42	23	19	8	7	5.26%	54	631	18.57	0	0	0	0	0	0	0	0	0	80	0	0	0.00%	0	0	0.29	0	0	0	0	0	1
12	Esa Lindell	St. Louis Blues	D	34	1	7	8	-4	12	0	56	37	41	17	25	2.44%	38	677	19.91	0	0	0	20	91	0	0	0	0	9	0	0	0.00%	0	0	0.24	0	0	0	0	0	1
13	Brian Boyle	St. Louis Blues	C/LW/RW	34	4	4	8	-2	15	5	25	43	34	8	23	11.76%	5	302	8.89	0	0	0	0	0	1	0	1	3	81	0	1	53.52%	398	1	0.53	0	0	1	0	0	2
14	Andrej Sustr	St. Louis Blues	D	31	0	8	8	-8	26	0	69	32	9	9	10	0.00%	31	578	18.68	0	0	0	0	0	0	1	1	2	69	0	0	0.00%	0	0	0.28	0	0	0	0	0	0
15	Vinnie Hinostroza	St. Louis Blues	C/LW/RW	34	2	5	7	-3	2	0	8	21	43	12	27	4.65%	3	308	9.08	0	1	1	2	3	0	0	0	4	84	0	0	42.86%	28	0	0.45	0	1	0	0	0	0
16	Stephen Johns	St. Louis Blues	D	34	1	6	7	-6	34	0	77	27	12	3	10	8.33%	57	656	19.32	0	1	1	0	2	0	0	0	0	71	1	0	0.00%	0	0	0.21	0	0	0	1	0	0
17	Radek Faksa	St. Louis Blues	C/LW	35	1	5	6	-4	6	0	33	21	34	8	39	2.94%	8	406	11.60	0	0	0	0	0	0	0	0	4	96	0	0	54.05%	37	0	0.30	1	1	0	0	0	0
18	Remi Elie	St. Louis Blues	LW	34	2	3	5	-4	4	0	19	15	31	6	15	6.45%	7	302	8.89	0	0	0	0	0	0	0	0	3	82	0	0	42.11%	19	0	0.33	0	0	0	0	0	0
19	Mark Borowiecki	St. Louis Blues	D	3	0	0	0	-3	2	0	12	3	3	0	2	0.00%	7	54	18.24	0	0	0	0	0	0	0	0	1	4	0	0	0.00%	0	0	0.00	0	0	0	0	0	0
Team Total or Average				613	78	148	226	-71	211	5	794	765	1007	297	770	7.75%	337	10014	16.34	15	30	45	196	884	1	2	3	18	796	10	3	50.87%	2925	1	0.45	2	15	1	6	10	13

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	SO	GA	SA	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Scott Darling	St. Louis Blues	21	8	8	3	0.930	2.21	1194	1	44	632	2	0.857	14	19	15	4	2	0
2	Juuse Saros	St. Louis Blues	13	3	7	3	0.896	2.94	756	1	37	356	0	0.000	0	13	12	1	0	1
Team Total or Average			34	11	15	6	0.918	2.49	1950	2	81	988	2	0.857	14	32	27	5	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	Status	Type	Current Salary	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Link
Andrej Sustr (1 Way Contract)	St. Louis Blues	D	28	11/29/1990 3:53:17 AM	No	220 Lbs	6 ft7	No	No	No	1	RFA	Pro & Farm	2,500,000$								Link / NHL Link
Brandon Saad	St. Louis Blues	LW/RW	26	10/27/1992 10:51:31 AM	No	206 Lbs	6 ft1	No	No	No	4	RFA	Pro & Farm	3,500,000$	3,500,000$	4,000,000$	5,500,000$					Link / NHL Link
Brian Boyle	St. Louis Blues	C/LW/RW	34	12/18/1984 8:10:27 PM	No	245 Lbs	6 ft6	No	No	No	1	UFA	Pro & Farm	2,100,000$								Link / NHL Link
Chris Kunitz (1 Way Contract)	St. Louis Blues	LW	39	9/26/1979 2:10:27 PM	No	195 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	850,000$								Link / NHL Link
Chris Tierney	St. Louis Blues	C	24	7/1/1994 4:00:25 AM	No	195 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	1,400,000$	1,400,000$	1,400,000$						Link / NHL Link
Craig Smith	St. Louis Blues	C/RW	29	9/5/1989 9:53:02 AM	No	208 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	4,000,000$	4,500,000$							Link / NHL Link
Esa Lindell	St. Louis Blues	D	24	5/23/1994 6:59:08 AM	No	213 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	800,000$	800,000$							Link / NHL Link
J.T. Miller	St. Louis Blues	C/LW/RW	25	3/14/1993 2:53:33 AM	No	218 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	2,000,000$	2,000,000$	2,000,000$						Link / NHL Link
Jason Spezza	St. Louis Blues	C/RW	35	7/12/1983 2:10:27 PM	No	214 Lbs	6 ft3	No	No	No	3	UFA	Pro & Farm	8,000,000$	8,000,000$	6,000,000$						Link / NHL Link
Justin Faulk	St. Louis Blues	D	26	3/20/1992 9:56:20 AM	No	215 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	3,250,000$	3,500,000$	4,000,000$						Link / NHL Link
Juuse Saros	St. Louis Blues	RW	23	4/19/1995 3:25:17 AM	Yes	180 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	800,000$	800,000$							Link / NHL Link
Mark Borowiecki (1 Way Contract)	St. Louis Blues	D	29	7/12/1989 5:51:08 AM	No	207 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	850,000$	850,000$							Link / NHL Link
Olli Maatta	St. Louis Blues	D	24	8/22/1994 8:20:59 AM	No	206 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	2,250,000$	2,500,000$	2,750,000$	3,000,000$					Link / NHL Link
Patric Hornqvist	St. Louis Blues	LW	31	7/12/1987 2:10:27 PM	No	189 Lbs	5 ft11	No	No	No	3	UFA	Pro & Farm	5,000,000$	4,000,000$	4,000,000$						Link / NHL Link
Radek Faksa	St. Louis Blues	C/LW	24	1/9/1994 10:55:53 AM	Yes	216 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	990,000$								Link / NHL Link
Remi Elie	St. Louis Blues	LW	23	4/16/1995 7:02:01 AM	Yes	210 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	950,000$	950,000$	950,000$						Link / NHL Link
Scott Darling	St. Louis Blues	D	30	12/22/1988 3:24:08 AM	No	232 Lbs	6 ft6	No	No	No	2	UFA	Pro & Farm	1,400,000$	1,600,000$							Link / NHL Link
Stephen Johns	St. Louis Blues	D	26	4/18/1992 7:00:59 AM	No	221 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	950,000$								Link / NHL Link
Tomas Hertl	St. Louis Blues	C/LW/RW	25	11/12/1993 4:36:55 AM	No	220 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	2,500,000$	3,000,000$							Link / NHL Link
Troy Stecher	St. Louis Blues	D	24	4/7/1994 6:55:02 AM	No	190 Lbs	5 ft10	No	No	No	3	RFA	Pro & Farm	1,400,000$	1,400,000$	1,400,000$						Link / NHL Link
Vincent Trocheck	St. Louis Blues	C	25	7/11/1993 3:04:15 AM	No	182 Lbs	5 ft10	No	No	No	8	RFA	Pro & Farm	5,500,000$	5,500,000$	5,500,000$	5,500,000$	5,500,000$	5,500,000$	5,500,000$	5,500,000$	Link / NHL Link
Vinnie Hinostroza	St. Louis Blues	C/LW/RW	24	4/3/1994 7:47:23 AM	Yes	173 Lbs	5 ft9	No	No	No	1	RFA	Pro & Farm	800,000$								Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	27.18	207 Lbs	6 ft2	2.50	2,354,091$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
51,790,000$	44,300,000$	32,000,000$	14,000,000$	5,500,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Tomas Hertl	Jason Spezza	J.T. Miller	29	0	1	4
2	Radek Faksa	Vincent Trocheck	Craig Smith	29	0	1	4
3	Patric Hornqvist	Chris Tierney	Brandon Saad	29	0	1	4
4	Remi Elie	Brian Boyle	Vinnie Hinostroza	13	0	2	3

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Esa Lindell	Stephen Johns	34	0	3	2
2	Justin Faulk	Olli Maatta	33	0	3	2
3	Andrej Sustr	Troy Stecher	33	0	4	1
4	Andrej Sustr	Justin Faulk	0	0	3	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Patric Hornqvist	Vincent Trocheck	Brandon Saad	50	0	1	4
2	Tomas Hertl	Jason Spezza	Craig Smith	50	0	1	4

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Esa Lindell	Justin Faulk	50	0	1	4
2	Olli Maatta	J.T. Miller	50	0	1	4

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Brian Boyle	Vinnie Hinostroza	50	0	4	1
2	Chris Tierney	Remi Elie	50	0	4	1

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Troy Stecher	Stephen Johns	50	0	4	1
2	Andrej Sustr	Olli Maatta	50	0	4	1

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Brian Boyle	50	0	5	0	Troy Stecher	Stephen Johns	50	0	5	0
2	Vincent Trocheck	50	0	5	0	Andrej Sustr	Esa Lindell	50	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Vincent Trocheck	Brandon Saad	50	0	2	3
2	Jason Spezza	Patric Hornqvist	50	0	2	3

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Olli Maatta	Justin Faulk	50	0	2	3
2	Esa Lindell	Stephen Johns	50	0	2	3

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Patric Hornqvist	Vincent Trocheck	Brandon Saad	Esa Lindell	Justin Faulk

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Brian Boyle	Vincent Trocheck	Tomas Hertl	Andrej Sustr	Stephen Johns

Extra Forwards
Normal	PowerPlay	Penalty Kill
Vinnie Hinostroza, Craig Smith, Patric Hornqvist	Vinnie Hinostroza, Craig Smith	Craig Smith

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Troy Stecher, Andrej Sustr, Justin Faulk	Esa Lindell	Justin Faulk, Esa Lindell

Penalty Shots
Vincent Trocheck, Jason Spezza, Patric Hornqvist, J.T. Miller, Vinnie Hinostroza

Goalie
#1 : Juuse Saros, #2 : Scott Darling

Custom OT Lines Forwards
Vincent Trocheck, Patric Hornqvist, Tomas Hertl, Brandon Saad, Craig Smith, Chris Tierney, Chris Tierney, Jason Spezza, Radek Faksa, J.T. Miller, Vinnie Hinostroza

Custom OT Lines Defensemen
Justin Faulk, Stephen Johns, Esa Lindell, Olli Maatta, Troy Stecher

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	Anaheim Ducks	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	1	0	0	0	1	0	35	12	10	13	0	40	11	6	22	2	0	0.00%	3	0	100.00%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	22	15	24	6	13	6
2	Arizona Coyotes	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	7	11	0	0	2	0	2	0	31	12	7	12	0	31	10	8	19	4	0	0.00%	4	1	75.00%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	23	16	25	7	11	5
3	Boston Bruins	2	0	0	0	0	1	0	1	4	6	-2	1	0	0	0	0	1	0	0	1	2	-1	1	0	0	0	0	0	0	1	3	4	-1	2	0.500	4	8	12	0	0	1	1	2	0	72	14	27	27	11	64	19	12	51	6	1	16.67%	6	0	100.00%	1	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	54	39	47	14	26	13
4	Buffalo Sabres	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	1	2	3	0	0	0	1	0	0	29	7	12	10	0	26	10	8	23	3	0	0.00%	4	0	100.00%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	25	17	21	7	13	7
5	Calgary Flames	1	1	0	0	0	0	0	0	5	0	5	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	0	5	2	1.000	5	10	15	0	1	1	2	2	0	26	3	17	6	0	16	6	8	15	4	0	0.00%	4	0	100.00%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	25	17	21	7	12	6
6	Carolina Hurricanes	1	0	0	0	0	1	0	0	2	3	-1	1	0	0	0	0	1	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	2	4	6	0	0	2	0	0	0	35	8	17	8	2	29	9	8	16	2	0	0.00%	4	0	100.00%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	22	15	25	7	12	6
7	Chicago Blackhawks	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	4	6	0	0	1	0	1	0	28	7	7	14	0	28	5	6	29	2	0	0.00%	3	0	100.00%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	24	17	23	7	12	5
8	Colorado Avalanche	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	5	0	0	0	22	8	2	12	0	24	11	6	29	3	0	0.00%	3	0	100.00%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	22	15	25	7	12	6
9	Columbus Blue Jackets	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	1	3	2	1.000	4	8	12	0	0	0	0	4	0	26	7	7	12	0	35	14	10	24	4	0	0.00%	5	0	100.00%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	23	16	24	6	12	6
10	Dallas Stars	2	0	2	0	0	0	0	0	2	6	-4	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	2	6	-4	0	0.000	2	2	4	0	0	1	1	0	0	60	12	25	23	0	70	22	8	59	7	0	0.00%	3	2	33.33%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	48	34	48	13	22	10
11	Detroit Red Wings	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	0	1	0	0	27	11	10	6	0	36	9	6	16	2	1	50.00%	3	0	100.00%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	25	17	22	6	12	6
12	Edmonton Oilers	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	0	2	1	0	34	14	9	11	0	44	12	8	11	2	1	50.00%	4	1	75.00%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	24	16	24	6	11	5
13	Florida Panthers	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	2	3	1	0	0	0	1	0	29	6	9	14	0	26	6	4	16	4	1	25.00%	1	0	100.00%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	25	18	22	7	11	5
14	Los Angeles Kings	1	0	0	0	0	0	0	1	3	4	-1	1	0	0	0	0	0	0	1	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	3	6	9	0	0	3	0	0	0	56	18	20	15	7	29	13	4	18	4	2	50.00%	2	1	50.00%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	26	19	25	7	12	6
15	Minnesota Wild	2	1	0	0	0	1	0	0	9	7	2	0	0	0	0	0	0	0	0	0	0	0	2	1	0	0	0	1	0	0	9	7	2	3	0.750	9	17	26	0	0	4	4	1	0	64	17	28	19	0	60	13	6	45	8	3	37.50%	3	1	66.67%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	46	32	48	13	25	13
16	Montreal Canadiens	1	0	0	0	0	1	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	2	3	-1	1	0.500	2	3	5	0	0	0	1	1	0	22	4	9	8	1	28	11	13	24	2	0	0.00%	4	0	100.00%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	25	18	25	7	12	5
17	Nashville Predators	1	0	1	0	0	0	0	0	0	4	-4	1	0	1	0	0	0	0	0	0	4	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	28	13	9	6	0	34	7	10	23	5	0	0.00%	3	0	100.00%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	22	14	25	7	12	5
18	New Jersey Devils	1	0	0	0	0	0	1	0	3	2	1	1	0	0	0	0	0	1	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	4	7	0	0	1	1	0	1	36	7	17	11	4	38	13	6	33	4	1	25.00%	3	1	66.67%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	24	17	28	8	12	6
19	New York Islanders	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	0	1	0	0	26	3	13	10	0	39	9	8	29	2	0	0.00%	3	0	100.00%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	26	17	22	6	11	6
20	New York Rangers	2	0	0	0	1	1	0	0	7	7	0	1	0	0	0	0	1	0	0	4	5	-1	1	0	0	0	1	0	0	0	3	2	1	3	0.750	7	14	21	0	0	5	1	0	1	58	29	11	13	5	72	8	16	41	0	0	0.00%	8	1	87.50%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	47	33	49	14	26	13
21	San Jose Sharks	2	0	2	0	0	0	0	0	3	6	-3	2	0	2	0	0	0	0	0	3	6	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	5	8	0	0	1	2	0	0	60	24	22	14	0	51	21	10	60	3	1	33.33%	4	0	100.00%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	49	36	46	12	24	12
22	Tampa Bay Lightning	2	1	1	0	0	0	0	0	4	4	0	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	0	3	-3	2	0.500	4	7	11	0	0	1	2	1	0	59	25	16	18	0	54	20	10	49	8	1	12.50%	4	0	100.00%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	46	32	49	14	24	12
23	Toronto Maple Leafs	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	1	1	0	0	29	6	12	11	0	27	11	6	25	5	2	40.00%	3	1	66.67%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	23	15	24	7	12	6
	Total	34	9	16	0	1	5	1	2	82	93	-11	18	5	8	0	0	3	1	1	45	49	-4	16	4	8	0	1	2	0	1	37	44	-7	29	0.426	82	152	234	2	2	33	28	19	2	1039	330	358	335	30	1046	332	219	792	100	15	15.00%	96	11	88.54%	1	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	824	578	817	245	424	212
25	Vancouver Canucks	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	2	4	6	0	0	1	1	0	0	21	6	5	10	0	42	9	14	18	2	0	0.00%	5	1	80.00%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	21	13	25	8	13	6
26	Vegas Golden Knights	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	34	22	7	5	0	16	12	2	20	3	0	0.00%	1	1	0.00%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	25	17	21	7	13	7
27	Washington Capitals	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	2	3	1	0	36	13	15	8	0	21	15	2	26	1	0	0.00%	1	0	100.00%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	28	20	19	6	12	6
28	Winnipeg Jets	2	1	1	0	0	0	0	0	3	3	0	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	3	3	0	2	0.500	3	5	8	0	1	0	2	1	0	56	22	15	19	0	66	26	14	51	8	1	12.50%	5	0	100.00%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	45	31	49	14	24	12
	_Since Last GM Reset	34	9	16	0	1	5	1	2	82	93	-11	18	5	8	0	0	3	1	1	45	49	-4	16	4	8	0	1	2	0	1	37	44	-7	29	0.426	82	152	234	2	2	33	28	19	2	1039	330	358	335	30	1046	332	219	792	100	15	15.00%	96	11	88.54%	1	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	824	578	817	245	424	212
	_Vs Conference	18	6	10	0	0	1	0	1	44	49	-5	9	3	5	0	0	0	0	1	21	25	-4	9	3	5	0	0	1	0	0	23	24	-1	14	0.389	44	81	125	1	2	20	15	9	0	555	190	183	179	7	551	178	110	419	57	8	14.04%	47	8	82.98%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	426	298	435	130	223	111
	_Vs Division	9	4	4	0	0	1	0	0	21	22	-1	3	2	1	0	0	0	0	0	7	6	1	6	2	3	0	0	1	0	0	14	16	-2	9	0.500	21	37	58	0	1	11	7	3	0	258	79	86	93	0	282	84	50	236	33	4	12.12%	20	3	85.00%	0	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	209	146	220	64	110	54

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
34	29	W1	82	152	234	1039	1046	332	219	792	2	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
34	9	16	1	5	1	2	82	93

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
18	5	8	0	3	1	1	45	49

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	4	8	1	2	0	1	37	44

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	6	0	1	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
100	15	15.00%	96	11	88.54%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
330	358	335	30	33	28	19	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
605	1194	50.67%	616	1193	51.63%	255	487	52.36%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
824	578	817	245	424	212

Last Played Games

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
1 - 2018-11-26	9	Los Angeles Kings	4	St. Louis Blues	3	L	X	X	BoxScore
2 - 2018-11-27	20	St. Louis Blues	3	Minnesota Wild	4	L	X		BoxScore
5 - 2018-11-30	44	San Jose Sharks	4	St. Louis Blues	2	L			BoxScore
6 - 2018-12-01	57	St. Louis Blues	1	Florida Panthers	3	L			BoxScore
8 - 2018-12-03	70	Boston Bruins	2	St. Louis Blues	1	L	X		BoxScore
10 - 2018-12-05	90	St. Louis Blues	1	Dallas Stars	2	L			BoxScore
11 - 2018-12-06	103	St. Louis Blues	5	Calgary Flames	0	W			BoxScore
12 - 2018-12-07	118	Detroit Red Wings	4	St. Louis Blues	1	L			BoxScore
14 - 2018-12-09	135	Colorado Avalanche	1	St. Louis Blues	5	W			BoxScore
16 - 2018-12-11	158	Anaheim Ducks	3	St. Louis Blues	1	L			BoxScore
18 - 2018-12-13	170	St. Louis Blues	6	Minnesota Wild	3	W			BoxScore
20 - 2018-12-15	188	Edmonton Oilers	4	St. Louis Blues	3	L			BoxScore
21 - 2018-12-16	200	St. Louis Blues	2	Winnipeg Jets	0	W			BoxScore
22 - 2018-12-17	215	St. Louis Blues	3	New York Rangers	2	W	X		BoxScore
23 - 2018-12-18	221	St. Louis Blues	2	Vegas Golden Knights	3	L			BoxScore
25 - 2018-12-20	243	Chicago Blackhawks	1	St. Louis Blues	2	W			BoxScore
27 - 2018-12-22	262	New Jersey Devils	2	St. Louis Blues	3	W	X	X	BoxScore
29 - 2018-12-24	278	St. Louis Blues	4	Columbus Blue Jackets	1	W			BoxScore
30 - 2018-12-25	290	Toronto Maple Leafs	3	St. Louis Blues	2	L			BoxScore
32 - 2018-12-27	304	St. Louis Blues	0	Tampa Bay Lightning	3	L			BoxScore
33 - 2018-12-28	320	St. Louis Blues	2	Montreal Canadiens	3	L	X		BoxScore
35 - 2018-12-30	333	Washington Capitals	2	St. Louis Blues	6	W			BoxScore
36 - 2018-12-31	352	Carolina Hurricanes	3	St. Louis Blues	2	L	X		BoxScore
38 - 2019-01-02	370	St. Louis Blues	1	Buffalo Sabres	4	L			BoxScore
40 - 2019-01-04	385	St. Louis Blues	1	Winnipeg Jets	3	L			BoxScore
41 - 2019-01-05	397	Nashville Predators	4	St. Louis Blues	0	L			BoxScore
44 - 2019-01-08	416	St. Louis Blues	1	Dallas Stars	4	L			BoxScore
45 - 2019-01-09	429	New York Rangers	5	St. Louis Blues	4	L	X		BoxScore
47 - 2019-01-11	448	San Jose Sharks	2	St. Louis Blues	1	L			BoxScore
49 - 2019-01-13	466	Arizona Coyotes	2	St. Louis Blues	4	W			BoxScore
50 - 2019-01-14	477	St. Louis Blues	3	Boston Bruins	4	L	X	X	BoxScore
52 - 2019-01-16	499	New York Islanders	2	St. Louis Blues	1	L			BoxScore
54 - 2019-01-18	518	St. Louis Blues	2	Vancouver Canucks	5	L			BoxScore
55 - 2019-01-19	531	Tampa Bay Lightning	1	St. Louis Blues	4	W			BoxScore
57 - 2019-01-21	546	St. Louis Blues	-	Carolina Hurricanes	-
58 - 2019-01-22	556	St. Louis Blues	-	Minnesota Wild	-
59 - 2019-01-23	572	Vancouver Canucks	-	St. Louis Blues	-
61 - 2019-01-25	587	St. Louis Blues	-	Washington Capitals	-
62 - 2019-01-26	599	St. Louis Blues	-	Edmonton Oilers	-
63 - 2019-01-27	611	Philadelphia Flyers	-	St. Louis Blues	-
66 - 2019-01-30	633	Pittsburgh Penguins	-	St. Louis Blues	-
67 - 2019-01-31	651	St. Louis Blues	-	San Jose Sharks	-
69 - 2019-02-02	665	Colorado Avalanche	-	St. Louis Blues	-
70 - 2019-02-03	679	St. Louis Blues	-	Chicago Blackhawks	-
71 - 2019-02-04	691	St. Louis Blues	-	Toronto Maple Leafs	-
73 - 2019-02-06	703	Dallas Stars	-	St. Louis Blues	-
75 - 2019-02-08	724	Montreal Canadiens	-	St. Louis Blues	-
77 - 2019-02-10	747	Florida Panthers	-	St. Louis Blues	-
78 - 2019-02-11	758	St. Louis Blues	-	Philadelphia Flyers	-
79 - 2019-02-12	775	St. Louis Blues	-	New Jersey Devils	-
82 - 2019-02-15	788	Minnesota Wild	-	St. Louis Blues	-
84 - 2019-02-17	809	Calgary Flames	-	St. Louis Blues	-
85 - 2019-02-18	817	St. Louis Blues	-	Anaheim Ducks	-
88 - 2019-02-21	841	Vegas Golden Knights	-	St. Louis Blues	-
89 - 2019-02-22	847	St. Louis Blues	-	Florida Panthers	-
91 - 2019-02-24	871	Ottawa Senators	-	St. Louis Blues	-
92 - 2019-02-25	876	St. Louis Blues	-	New York Islanders	-
95 - 2019-02-28	900	St. Louis Blues	-	Pittsburgh Penguins	-
96 - 2019-03-01	914	Los Angeles Kings	-	St. Louis Blues	-
98 - 2019-03-03	933	St. Louis Blues	-	Vegas Golden Knights	-
99 - 2019-03-04	944	Los Angeles Kings	-	St. Louis Blues	-
101 - 2019-03-06	967	Vancouver Canucks	-	St. Louis Blues	-
102 - 2019-03-07	977	St. Louis Blues	-	Nashville Predators	-
103 - 2019-03-08	989	St. Louis Blues	-	Calgary Flames	-
Trade Deadline --- Trades can’t be done after this day is simulated!
105 - 2019-03-10	1006	Dallas Stars	-	St. Louis Blues	-
106 - 2019-03-11	1020	St. Louis Blues	-	Ottawa Senators	-
108 - 2019-03-13	1038	Minnesota Wild	-	St. Louis Blues	-
111 - 2019-03-16	1060	St. Louis Blues	-	Nashville Predators	-
112 - 2019-03-17	1063	St. Louis Blues	-	Detroit Red Wings	-
113 - 2019-03-18	1075	Edmonton Oilers	-	St. Louis Blues	-
115 - 2019-03-20	1103	Chicago Blackhawks	-	St. Louis Blues	-
116 - 2019-03-21	1108	St. Louis Blues	-	Los Angeles Kings	-
118 - 2019-03-23	1132	Anaheim Ducks	-	St. Louis Blues	-
121 - 2019-03-26	1154	Buffalo Sabres	-	St. Louis Blues	-
123 - 2019-03-28	1178	St. Louis Blues	-	Los Angeles Kings	-
124 - 2019-03-29	1179	St. Louis Blues	-	Arizona Coyotes	-
125 - 2019-03-30	1191	Columbus Blue Jackets	-	St. Louis Blues	-
127 - 2019-04-01	1210	St. Louis Blues	-	Arizona Coyotes	-
129 - 2019-04-03	1222	Winnipeg Jets	-	St. Louis Blues	-
130 - 2019-04-04	1223	St. Louis Blues	-	Colorado Avalanche	-
132 - 2019-04-06	1242	St. Louis Blues	-	Colorado Avalanche	-
135 - 2019-04-09	1270	Boston Bruins	-	St. Louis Blues	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Arena Capacity	6000	5000	2100	5000	1150
Ticket Price	55	30	15	10	120
Attendance	108000	89775	37800	61696	20566
Attendance PCT	100.00%	99.75%	100.00%	68.55%	99.35%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
23	17658 - 91.73%	1,016,936$	18,304,845$	19250	108

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
51,790,000$	50,552,501$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
21,824,135$	380,809$	21,412,367$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
23,389,524$	80	388,162$	31,052,960$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
32,830,190$	51,877,087$	36,721,171$	27,280,505$

Depth Chart

Left Wing

Center

Right Wing

Patric Hornqvist	AGE:31	PO:0	OV:75
Brandon Saad	AGE:26	PO:0	OV:73
Tomas Hertl	AGE:25	PO:0	OV:73
Brian Boyle	AGE:34	PO:0	OV:72
J.T. Miller	AGE:25	PO:0	OV:72
Chris Kunitz	AGE:39	PO:0	OV:70
*Radek Faksa	AGE:24	PO:0	OV:70
*Vinnie Hinostroza	AGE:24	PO:0	OV:69
*Tyler Motte	AGE:23	PO:0	OV:68
*Remi Elie	AGE:23	PO:0	OV:68
Eric Tangradi	AGE:29	PO:0	OV:68
Magnus Paajarvi	AGE:27	PO:0	OV:68
Richard Clune	AGE:31	PO:0	OV:66
*Jayson Megna	AGE:28	PO:0	OV:66
*Hampus Gustafsson	AGE:25	PO:0	OV:64
*Lukas Sedlak	AGE:25	PO:0	OV:61
*Sam Carrick	AGE:26	PO:0	OV:61

Vincent Trocheck	AGE:25	PO:0	OV:76
Craig Smith	AGE:29	PO:0	OV:74
Jason Spezza	AGE:35	PO:0	OV:74
Tomas Hertl	AGE:25	PO:0	OV:73
Chris Tierney	AGE:24	PO:0	OV:72
Brian Boyle	AGE:34	PO:0	OV:72
J.T. Miller	AGE:25	PO:0	OV:72
*Radek Faksa	AGE:24	PO:0	OV:70
*Vinnie Hinostroza	AGE:24	PO:0	OV:69
*Tyler Motte	AGE:23	PO:0	OV:68
*Austin Czarnik	AGE:26	PO:0	OV:66
*Jayson Megna	AGE:28	PO:0	OV:66
*Alexander Broadhurst	AGE:25	PO:0	OV:65
*Hampus Gustafsson	AGE:25	PO:0	OV:64
*T.J. Tynan	AGE:26	PO:0	OV:64
*Lukas Sedlak	AGE:25	PO:0	OV:61
*Sam Carrick	AGE:26	PO:0	OV:61

Craig Smith	AGE:29	PO:0	OV:74
Jason Spezza	AGE:35	PO:0	OV:74
Brandon Saad	AGE:26	PO:0	OV:73
Tomas Hertl	AGE:25	PO:0	OV:73
Brian Boyle	AGE:34	PO:0	OV:72
J.T. Miller	AGE:25	PO:0	OV:72
*Vinnie Hinostroza	AGE:24	PO:0	OV:69
*Tyler Motte	AGE:23	PO:0	OV:68
Magnus Paajarvi	AGE:27	PO:0	OV:68
*Austin Czarnik	AGE:26	PO:0	OV:66
Zack Stortini	AGE:33	PO:0	OV:66
Richard Clune	AGE:31	PO:0	OV:66
*Jayson Megna	AGE:28	PO:0	OV:66
*Kyle Baun	AGE:26	PO:0	OV:63
*Sam Carrick	AGE:26	PO:0	OV:61
*Tyler Randell	AGE:27	PO:0	OV:59

Defense #1

Defense #2

Goalie

Justin Faulk	AGE:26	PO:0	OV:73
Esa Lindell	AGE:24	PO:0	OV:73
Andrej Sustr	AGE:28	PO:0	OV:73
Olli Maatta	AGE:24	PO:0	OV:71
Stephen Johns	AGE:26	PO:0	OV:71
Troy Stecher	AGE:24	PO:0	OV:71
Erik Gustafsson	AGE:26	PO:0	OV:69
Mark Borowiecki	AGE:29	PO:0	OV:69

Ryan Murphy	AGE:25	PO:0	OV:68
*Scott Mayfield	AGE:26	PO:0	OV:68
Mark Barberio	AGE:28	PO:0	OV:68
Radim Simek	AGE:26	PO:0	OV:67
Alex Grant	AGE:29	PO:0	OV:65
*Keaton Thompson	AGE:23	PO:0	OV:65
*Trevor Murphy	AGE:23	PO:0	OV:63

Scott Darling	AGE:30	PO:0	OV:85
*Juuse Saros	AGE:23	PO:0	OV:83
*Michael Houser	AGE:26	PO:0	OV:78
Parker Milner	AGE:28	PO:0	OV:72

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	Lien
Adam Smith	St. Louis Blues	2016	188	Link
Andrei Svetlakov	St. Louis Blues	2017	172	Link
Anton Andersson	St. Louis Blues	2017	187	Link
Antti Palojarvi	St. Louis Blues	2017	178	Link
Benjamin Finklestein	St. Louis Blues	2016	190	Link
Christoffer Ehn	St. Louis Blues	2014	127	Link
Collin Adams	St. Louis Blues	2016	198	Link
Daniel Sprong	St. Louis Blues	2015	38	Link
Daniil Tarasov	St. Louis Blues	2017	75	Link
David Farrance	St. Louis Blues	2017	64	Link
Denis Smirnov	St. Louis Blues	2017	124	Link
Dmitry Zaitsev	St. Louis Blues	2016	200	Link
Filip Gustavsson	St. Louis Blues	2016	32	Link
Filip Hronek	St. Louis Blues	2016	47	Link
Frederik Tiffels	St. Louis Blues	2015	110	Link
German Rubtsov	St. Louis Blues	2016	19	Link
Grant Mismash	St. Louis Blues	2017	50	Link
Ivan Chekhovich	St. Louis Blues	2017	132	Link
Jack Glover	St. Louis Blues	2014	49	Link
Jakob Stenqvist	St. Louis Blues	2016	172	Link
Jiri Sekac	St. Louis Blues			Link
Klim Kostin	St. Louis Blues	2017	17	Link
Markus Soberg	St. Louis Blues	2013	143	Link
Matej Paulovic	St. Louis Blues	2013	163	Link
Maxim Mamin	St. Louis Blues	2016	166	Link
Michael Karow	St. Louis Blues	2017	147	Link
Mikko Vainonen	St. Louis Blues	2012	109	Link
Mirko Hoefflin	St. Louis Blues	2010	172	Link
Mitchell Mattson	St. Louis Blues	2016	129	Link
Morgan Geekie	St. Louis Blues	2017	54	Link
Nikita Pavlychev	St. Louis Blues	2015	179	Link
Peter Quenneville	St. Louis Blues	2013	178	Link
Peter Thome	St. Louis Blues	2016	153	Link
Rasmus Bodin	St. Louis Blues	2012	163	Link
Rhett Gardner	St. Louis Blues	2016	114	Link
Troy Josephs	St. Louis Blues	2013	176	Link
Ville Rasanen	St. Louis Blues	2017	202	Link
Yegor Zaitsev	St. Louis Blues	2017	206	Link

Draft Picks

Year	R1	R2	R3	R4	R5	R6	R7
2019		DAL NYR
2020	STL		STL			STL	STL
2021	STL	STL	STL	STL	STL	STL	STL
2022	STL	STL	STL	STL	STL	STL	STL
2023	STL	STL	STL	STL	STL	STL	STL

[1/20/2019 1:14:08 AM] - TRADE : From St. Louis Blues to Minnesota Wild : Christian Dvorak (70), Y:2020-RND:4-STL.
[1/20/2019 1:14:08 AM] - TRADE : From Minnesota Wild to St. Louis Blues : Radek Faksa (70), Y:2019-RND:2-NYR.
[12/7/2018 4:30:03 PM] - Parker Milner was added to St. Louis Blues.
[12/6/2018 4:29:19 PM] - TRADE : From St. Louis Blues to San Jose Sharks : Robin Lehner (82).
[12/6/2018 4:29:19 PM] - TRADE : From San Jose Sharks to St. Louis Blues : Y:2019-RND:2-DAL.
[11/24/2018 5:25:32 PM] - New Record for Team's Most Shots (56) in 1 Game for St. Louis Blues!
[11/4/2018 6:31:30 PM] - Zack Stortini was added to St. Louis Blues.
[11/3/2018 5:27:10 PM] - Alex Grant was added to St. Louis Blues.
[11/2/2018 6:18:22 PM] - Richard Clune was added to St. Louis Blues.
[11/2/2018 6:16:57 PM] - Sam Carrick was added to St. Louis Blues.
[10/31/2018 8:58:38 AM] - Chris Kunitz was added to St. Louis Blues.
[10/29/2018 12:55:13 PM] - Mark Borowiecki was added to St. Louis Blues.
[10/26/2018 8:46:46 AM] - Radim Simek was added to St. Louis Blues.
[10/26/2018 8:40:01 AM] - Eric Tangradi was added to St. Louis Blues.
[10/26/2018 8:24:29 AM] - Marek Hrivik retired from St. Louis Blues
[8/4/2018 1:04:35 PM] - Keaton Thompson was added to St. Louis Blues.
[8/4/2018 1:02:58 PM] - Remi Elie was added to St. Louis Blues.
[7/24/2018 5:00:35 PM] - Fredric Larsson has been deleted from St. Louis Blues.

[1/20/2019 8:23:10 PM] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[1/20/2019 9:46:25 AM] Successfully loaded St. Louis Blues lines done with Web Base Client and SQLite Database.
[1/20/2019 1:14:08 AM] TRADE : From St. Louis Blues to Minnesota Wild : Christian Dvorak (70), Y:2020-RND:4-STL.
[1/20/2019 1:14:08 AM] TRADE : From Minnesota Wild to St. Louis Blues : Radek Faksa (70), Y:2019-RND:2-NYR.
[1/18/2019 4:24:21 PM] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased. But, St. Louis Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[1/12/2019 9:38:54 PM] Successfully loaded St. Louis Blues lines done with Web Base Client and SQLite Database.
[1/5/2019 10:24:48 PM] Successfully loaded St. Louis Blues lines done with Web Base Client and SQLite Database.
[1/3/2019 12:29:34 PM] Successfully loaded St. Louis Blues lines done with Web Base Client and SQLite Database.

No Injury or Suspension.

Show or Hide Column

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
2018	34	9	16	0	1	5	1	2	82	93	-11	18	5	8	0	0	3	1	1	45	49	-4	16	4	8	0	1	2	0	1	37	44	-7	29	82	152	234	2	2	33	28	19	2	1039	330	358	335	30	1046	332	219	792	100	15	15.00%	96	11	88.54%	1	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	824	578	817	245	424	212
Total Regular Season	34	9	16	0	1	5	1	2	82	93	-11	18	5	8	0	0	3	1	1	45	49	-4	16	4	8	0	1	2	0	1	37	44	-7	29	82	152	234	2	2	33	28	19	2	1039	330	358	335	30	1046	332	219	792	100	15	15.00%	96	11	88.54%	1	605	1194	50.67%	616	1193	51.63%	255	487	52.36%	824	578	817	245	424	212