LHS1 - Schedule Pro Blues

Roster

Player	#	POS	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Bryan Rust	0	LW/RW	100.00	79	39	77	83	71	85	74	82	54	81	86	79	80	75	72	53	50	75	27	3,500,000$/3yrs
Dylan Larkin	0	C	100.00	64	43	77	90	77	87	90	83	86	79	74	63	79	67	74	82	50	73	23	6,100,000$/4yrs
Ryan Getzlaf (C)	0	C	100.00	83	49	68	71	89	85	90	74	82	77	68	66	73	85	95	42	50	71	34	8,250,000$/2yrs
Mikael Backlund	0	C	100.00	67	40	82	74	76	82	89	73	80	77	71	73	72	79	74	63	50	70	30	5,350,000$/5yrs
Marcus Foligno	0	LW	100.00	94	49	78	67	88	79	78	66	53	69	68	81	66	77	69	53	50	69	28	2,875,000$/1yrs
Patric Hornqvist	0	RW	100.00	85	45	71	74	70	82	72	73	54	72	77	66	74	82	75	29	50	69	32	4,250,000$/3yrs
Yanni Gourde	0	C/LW/RW	100.00	75	47	71	74	64	76	89	73	75	72	64	76	73	77	74	36	50	69	27	5,166,666$/6yrs
Ilya Mikheyev	0	LW/RW	100.00	61	38	89	67	82	84	70	66	53	76	69	81	67	71	65	48	53	68	24	925,000$/1yrs
Conor Garland	0	LW/RW	100.00	56	38	85	74	63	77	87	73	54	70	77	58	76	67	69	57	50	67	23	775,000$/2yrs
Blake Comeau	0	LW/RW	100.00	83	40	71	65	77	79	74	63	59	62	64	77	61	84	76	38	50	66	33	2,400,000$/2yrs
Alex Chiasson	0	LW/RW	100.00	67	43	73	68	88	73	84	65	53	67	66	58	65	78	73	57	50	65	28	2,150,000$/2yrs
Justin Williams	0	RW	100.00	59	40	82	67	74	75	73	66	53	57	72	59	68	89	81	32	50	63	37	700,000$/1yrs
Rasmus Ristolainen	0	D	100.00	93	43	73	72	90	88	86	68	30	79	65	81	54	71	67	83	50	74	24	5,400,000$/2yrs
Kris Letang	0	D	100.00	82	40	74	78	75	93	80	77	30	82	79	75	63	82	75	43	50	74	32	7,250,000$/3yrs
Adam Pelech	0	D	100.00	86	42	77	62	87	89	64	61	30	73	55	90	49	71	66	63	50	71	25	1,600,000$/2yrs
Nick Holden	0	D	100.00	86	46	87	66	89	85	81	64	30	69	67	78	53	82	69	28	50	71	32	2,200,000$/1yrs
Calvin de Haan	0	D	100.00	88	40	86	64	76	85	60	63	30	69	54	86	48	77	69	64	50	70	28	4,550,000$/3yrs
Alec Martinez	0	D	100.00	67	44	80	66	79	87	71	63	30	75	60	78	53	82	73	37	50	69	32	4,000,000$/1yrs
Scratches
Martin Frk	0	RW	100.00	63	48	81	66	78	77	68	64	53	61	70	62	66	73	68	67	50	63	25	700,000$/1yrs
Conor Sheary	0	LW/RW	100.00	57	38	89	68	64	73	82	65	51	67	66	57	64	75	69	36	50	63	27	3,000,000$/1yrs
Brandon Pirri	0	C	100.00	59	42	81	65	73	77	74	63	70	62	61	60	66	77	69	58	53	62	28	775,000$/2yrs
Cory Conacher	0	C	100.00	54	43	86	64	65	75	70	63	59	62	60	58	63	79	71	49	53	60	29	700,000$/1yrs
Mackenzie MacEachern	0	LW	100.00	82	44	73	63	78	64	72	61	58	54	64	56	62	71	68	64	53	60	25	750,000$/1yrs

	TEAM AVERAGE		100.00	73	43	79	70	77	81	77	68	53	70	68	70	65	77	72	51	51	68

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	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Jaroslav Halak	0	100.00	89	83	81	69	88	87	89	88	87	89	88	85	89	50	50	82	34	2,750,000$/1yrs
James Reimer	0	100.00	86	78	76	84	85	84	86	85	84	86	85	80	86	53	50	81	31	3,400,000$/2yrs
Scratches

	TEAM AVERAGE	100.00	88	81	79	77	87	86	88	87	86	88	87	83	88	52	50	82

Farm

Player	#	POS	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Colin White	0	C/RW	100.00	65	41	75	70	71	83	82	68	79	71	62	56	69	65	63	81	60	63	22	4,750,000$/6yrs
Logan Brown	0	C	100.00	71	52	79	65	96	72	76	63	78	67	59	64	65	63	62	85	60	63	21	863,333$/2yrs
David Gustafsson	0	C	100.00	62	42	90	62	80	64	66	61	72	60	58	63	59	61	62	71	60	59	19	817,500$/3yrs
Dominic Turgeon	0	C	100.00	65	42	89	59	80	87	89	58	74	57	55	56	54	67	64	66	60	59	23	750,000$/1yrs
Brendan Perlini	0	LW/RW	100.00	59	42	87	59	86	68	66	58	53	56	54	57	59	66	64	83	60	57	23	874,125$/1yrs
Gustav Olofsson	0	D	100.00	63	41	87	59	80	76	74	57	30	58	56	59	45	71	66	70	60	60	24	700,000$/2yrs
Christian Wolanin	0	D	100.00	62	41	87	59	77	74	64	58	30	55	57	59	45	69	65	58	60	59	24	900,000$/2yrs
Louie Belpedio	0	D	100.00	58	65	70	56	72	87	88	54	30	55	53	57	51	67	64	63	60	59	23	700,000$/1yrs
Scratches

Goalie	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Scratches

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

General Manager
Michel Letarte

Player Stats

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	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPM	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG
1	Dylan Larkin	Blues	0	C	49	23	22	45	-1	34	0	60	203	58	128	11.33%	19	19.19	14	8	22	171	0	0	0	12	6	3	60.00%	65	51	9	0	1	0.96	1	8
2	Ryan Getzlaf	Blues	0	C	49	11	32	43	-7	68	0	97	191	49	110	5.76%	32	23.64	3	17	20	170	0	0	0	61	1	1	51.77%	1493	24	18	0	0	0.74	1	8
3	Kris Letang	Blues	0	D	49	4	23	27	0	38	0	74	110	42	53	3.64%	75	25.99	4	9	13	189	0	1	1	181	0	2	0.00%	0	37	46	0	0	0.42	0	0
4	Mikael Backlund	Blues	0	C	49	12	15	27	0	18	0	53	107	46	86	11.21%	16	19.93	3	4	7	136	1	0	1	159	1	1	52.79%	843	21	20	0	0	0.55	1	4
5	Patric Hornqvist	Blues	0	RW	49	9	13	22	4	47	5	92	105	30	70	8.57%	16	16.60	3	4	7	137	0	0	0	0	2	1	58.54%	41	16	13	0	0	0.54	0	0
6	Bryan Rust	Blues	0	LW/RW	49	10	11	21	4	18	0	49	143	35	78	6.99%	11	14.47	0	0	0	5	0	0	0	52	0	2	35.29%	34	39	17	0	0	0.59	0	0
7	Yanni Gourde	Blues	0	C/LW/RW	49	8	9	17	3	28	0	65	98	30	64	8.16%	13	15.31	2	1	3	89	0	0	0	74	1	1	50.66%	304	22	17	0	0	0.45	0	0
8	Conor Garland	Blues	0	LW/RW	49	10	4	14	4	8	0	15	97	25	57	10.31%	7	11.64	0	0	0	1	0	0	0	7	2	1	33.33%	9	25	7	0	0	0.49	0	0
9	Rasmus Ristolainen	Blues	0	D	49	2	11	13	1	30	0	63	55	14	21	3.64%	55	26.03	2	3	5	190	0	0	0	183	1	0	100.00%	1	16	41	0	0	0.20	0	0
10	Alex Chiasson	Blues	0	LW/RW	49	6	7	13	-5	20	0	36	52	17	32	11.54%	12	13.02	2	4	6	170	0	0	0	107	3	1	30.56%	72	7	9	0	0	0.41	1	1
11	Ilya Mikheyev	Blues	0	LW/RW	49	5	5	10	-2	6	0	27	67	19	40	7.46%	17	15.32	0	0	0	0	0	0	0	0	1	2	43.08%	65	5	19	0	0	0.27	0	1
12	Alec Martinez	Blues	0	D	49	2	6	8	2	14	0	32	42	17	13	4.76%	46	20.96	1	3	4	126	0	0	0	127	1	0	0.00%	2	10	35	0	0	0.16	0	0
13	Calvin de Haan	Blues	0	D	49	2	5	7	-3	10	0	33	28	16	11	7.14%	45	17.13	1	1	2	124	0	0	0	34	0	0	0.00%	0	3	16	1	0	0.17	0	0
14	Adam Pelech	Blues	0	D	49	1	5	6	2	46	0	45	31	13	9	3.23%	50	18.65	0	0	0	7	0	0	0	131	0	1	50.00%	2	4	27	0	0	0.13	0	0
15	Nick Holden	Blues	0	D	49	1	2	3	-5	12	0	26	22	11	9	4.55%	34	13.94	0	0	0	1	0	0	0	8	0	0	100.00%	1	9	18	0	0	0.09	0	0
16	Conor Sheary	Blues	0	LW/RW	18	0	2	2	1	0	0	6	11	6	7	0.00%	0	6.96	0	1	1	49	0	0	0	7	0	0	50.00%	2	4	0	0	0	0.32	0	0
17	Marcus Foligno	Blues	0	LW	49	2	0	2	5	20	0	51	48	17	25	4.17%	15	11.36	0	0	0	0	0	0	0	0	0	0	38.46%	13	4	9	0	0	0.07	0	0
18	Blake Comeau	Blues	0	LW/RW	49	0	1	1	-6	12	0	49	27	9	30	0.00%	13	10.96	0	0	0	12	0	0	0	180	0	0	36.00%	25	4	8	0	0	0.04	3	8
19	Justin Williams	Blues	0	RW	31	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.08	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0
Team Total or Average				882	108	173	281	-3	429	5	873	1437	454	843	7.52%	476	16.49	35	55	90	1584	1	1	2	1330	19	16	51.08%	2972	301	329	1	1	0.39	7	30

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Jaroslav Halak	Blues	39	19	16	4	0.917	2.42	2306	4	0	93	1118	526	4	1	0.783	23	39	10	5	4	4
2	James Reimer	Blues	13	4	5	1	0.933	2.04	678	0	0	23	344	175	0	0	0.667	6	10	39	1	0	2
Team Total or Average		52	23	21	5	0.921	2.33	2984	4	0	116	1462	701	4	1	0.759	29	49	49	6	4	6

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

#	VS Team	GP	W	L	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	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	GF%	SH%	SV%	PDO	PDOBRK
1	Bruins	1	0	1	0	0	0	0	0	1	-1	0	0.000	0	0	0	0	0	0	0	0	27	11	9	7	0	33	16	16	23	1	0	0.00%	8	1	87.50%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	20	10	22	8	17	8	nan%	0.0%	97.0%	97.0	DULL
2	Ducks	2	1	0	0	1	0	0	4	4	0	3	0.750	4	7	11	0	1	2	1	0	56	28	10	17	1	51	10	8	34	4	0	0.00%	4	1	75.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	43	24	39	18	38	19	57.1%	7.1%	92.2%	99.3	DULL
3	Canadiens	2	1	0	1	0	0	0	8	5	3	4	1.000	8	13	21	0	2	2	3	1	65	33	17	14	1	56	18	20	28	3	1	33.33%	10	2	80.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	44	26	39	17	37	18	70.0%	12.3%	91.1%	103.4	Unlucky
4	Stars	2	1	0	1	0	0	0	5	2	3	4	1.000	5	9	14	0	2	0	2	1	61	20	23	17	1	52	15	12	43	9	2	22.22%	6	0	100.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	45	24	39	18	35	18	60.0%	8.2%	96.2%	104.4	DULL
5	Penguins	2	0	1	0	0	0	1	4	6	-2	1	0.250	4	7	11	0	1	2	1	0	66	16	24	22	8	73	19	14	32	12	1	8.33%	7	2	71.43%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	42	22	43	19	38	20	42.9%	6.1%	91.8%	97.8	DULL
6	Predators	2	0	1	0	0	0	1	2	5	-3	1	0.250	2	3	5	0	1	0	1	0	59	19	16	22	5	60	18	18	31	7	0	0.00%	9	0	100.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	43	23	46	20	35	16	28.6%	3.4%	91.7%	95.1	DULL
7	Rangers	1	0	0	0	0	1	0	2	1	1	2	1.000	2	2	4	0	0	0	1	1	26	7	12	7	5	30	6	12	19	3	0	0.00%	6	0	100.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	22	11	22	9	20	9	66.7%	7.7%	96.7%	104.4	DULL
8	Red Wings	1	0	1	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	0	1	0	28	7	10	11	0	38	12	8	14	3	0	0.00%	4	1	75.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	20	11	22	9	16	8	33.3%	3.6%	92.1%	95.7	DULL
9	Jets	2	0	1	0	0	1	0	4	5	-1	2	0.500	4	4	8	0	0	2	1	2	47	6	23	17	4	63	18	22	42	6	1	16.67%	11	1	90.91%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	39	19	49	20	36	17	42.9%	8.5%	92.1%	100.6	DULL
10	Avalanche	4	0	3	1	0	0	0	6	12	-6	2	0.250	6	9	15	0	0	4	1	1	95	22	37	33	3	125	44	50	62	15	3	20.00%	25	8	68.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	82	44	89	36	70	33	42.9%	6.3%	90.4%	96.7	Unlucky
11	Capitals	1	1	0	0	0	0	0	2	1	1	2	1.000	2	2	4	0	0	2	0	0	29	11	12	6	0	25	9	6	17	4	2	50.00%	3	1	66.67%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	24	15	17	8	17	8	nan%	6.9%	96.0%	102.9	DULL
12	Canucks	2	1	0	0	0	1	0	9	4	5	4	1.000	9	14	23	0	2	5	1	2	47	13	19	15	4	63	25	20	37	12	3	25.00%	10	1	90.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	40	20	45	20	39	20	66.7%	19.1%	93.7%	112.8	LUCKY
13	Maple Leafs	2	1	1	0	0	0	0	4	4	0	2	0.500	4	7	11	0	1	0	3	0	64	17	10	37	0	51	18	20	41	6	2	33.33%	10	3	70.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	42	23	39	19	38	18	66.7%	6.3%	92.2%	98.4	DULL
14	Coyotes	2	0	2	0	0	0	0	2	5	-3	0	0.000	2	4	6	0	1	1	0	0	49	20	18	11	0	49	17	6	44	6	1	16.67%	3	1	66.67%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	48	27	34	16	36	20	20.0%	4.1%	89.8%	93.9	Unlucky
15	Blackhawks	2	1	0	0	0	0	1	5	4	1	3	0.750	5	8	13	0	0	1	4	0	60	21	10	22	11	58	12	22	42	12	2	16.67%	11	2	81.82%	1	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	42	22	45	20	37	19	60.0%	8.3%	93.1%	101.4	DULL
16	Flames	2	1	1	0	0	0	0	7	5	2	2	0.500	7	12	19	0	1	2	4	0	68	15	24	29	0	79	18	20	29	11	2	18.18%	11	3	72.73%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	39	20	45	18	34	18	71.4%	10.3%	93.7%	104.0	LUCKY
17	Sabres	2	0	1	1	0	0	0	6	7	-1	2	0.500	6	8	14	0	1	2	2	1	60	15	15	27	3	57	10	12	38	12	3	25.00%	6	5	16.67%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	42	22	41	19	38	21	60.0%	10.0%	87.7%	97.7	FUN
18	Kings	2	0	2	0	0	0	0	4	7	-3	0	0.000	4	6	10	0	1	3	0	0	65	14	28	23	0	52	19	22	33	10	1	10.00%	11	2	81.82%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	42	22	40	19	37	19	37.5%	6.2%	86.5%	92.7	Unlucky
19	Flyers	1	1	0	0	0	0	0	2	1	1	2	1.000	2	3	5	0	0	2	0	0	21	7	9	5	0	29	13	12	10	7	2	28.57%	6	0	100.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	19	9	22	9	18	9	0.0%	9.5%	96.6%	106.1	LUCKY
20	Lightning	2	1	1	0	0	0	0	7	5	2	2	0.500	7	12	19	0	1	2	4	0	57	22	16	19	0	55	27	20	40	10	3	30.00%	10	1	90.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	41	21	42	19	36	18	50.0%	12.3%	90.9%	103.2	FUN
21	Oilers	2	0	2	0	0	0	0	4	12	-8	0	0.000	4	7	11	0	1	1	2	0	68	29	15	24	0	76	26	14	42	12	2	16.67%	7	3	57.14%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	43	22	40	18	36	19	18.2%	5.9%	84.2%	90.1	Unlucky
22	Senators	1	1	0	0	0	0	0	5	3	2	2	1.000	5	7	12	0	1	2	2	0	34	10	18	6	0	36	7	12	15	5	1	20.00%	6	2	66.67%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	20	11	22	8	17	8	80.0%	14.7%	91.7%	106.4	LUCKY
23	Sharks	2	0	2	0	0	0	0	3	6	-3	0	0.000	3	3	6	0	0	0	3	0	66	19	16	31	0	62	24	18	45	4	0	0.00%	8	1	87.50%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	41	22	42	19	35	16	37.5%	4.5%	90.3%	94.9	Unlucky
24	Islanders	1	0	0	0	0	0	1	2	3	-1	1	0.500	2	4	6	0	0	1	1	0	33	4	7	22	3	30	12	8	18	2	0	0.00%	4	2	50.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	20	11	23	10	20	10	66.7%	6.1%	90.0%	96.1	Unlucky
25	Blue Jackets	2	1	0	0	0	1	0	4	2	2	4	1.000	4	4	8	0	0	1	2	2	65	18	20	25	5	57	19	12	34	6	1	16.67%	6	0	100.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	44	25	42	19	37	18	60.0%	6.2%	96.5%	102.6	DULL
26	Wild	2	1	1	0	0	0	0	6	6	0	2	0.500	6	9	15	1	0	3	3	0	58	11	23	24	0	53	21	17	22	6	2	33.33%	6	1	83.33%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	42	24	41	18	36	17	44.4%	10.3%	88.7%	99.0	FUN
27	Golden Knights	2	2	0	0	0	0	0	4	2	2	4	1.000	4	7	11	0	1	2	1	0	63	17	30	16	0	50	23	12	38	6	0	0.00%	6	0	100.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	44	25	40	17	35	18	66.7%	6.3%	96.0%	102.3	DULL
	_Vs Division	14	3	6	2	0	1	2	28	34	-6	14	0.500	28	42	70	1	3	10	12	4	380	99	132	135	24	411	128	141	242	55	10	18.18%	68	12	82.35%	1	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	295	159	311	134	251	123	45.0%	7.4%	91.7%	99.1	DULL
	_Vs Conference	30	8	15	2	1	2	2	65	79	-14	27	0.450	65	102	167	1	11	26	24	6	862	254	292	301	29	893	290	261	544	120	19	15.83%	128	24	81.25%	1	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	639	347	640	284	545	276	45.5%	7.5%	91.2%	98.7	DULL
	_Since Last GM Reset	49	15	21	4	1	4	4	112	121	-9	51	0.520	112	173	285	1	18	42	44	11	1437	432	471	509	54	1463	476	433	873	194	35	18.04%	214	44	79.44%	1	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	1046	569	1043	465	899	455	50.0%	7.8%	91.7%	99.5	DULL
	Total	49	15	21	4	1	4	4	112	121	-9	51	0.520	112	173	285	1	18	42	44	11	1437	432	471	509	54	1463	476	433	873	194	35	18.04%	214	44	79.44%	1	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	1046	569	1043	465	899	455	50.0%	7.8%	91.7%	99.5	DULL

	Puck Time
Offensive Zone	21
Neutral Zone	18
Defensive Zone	21

	Puck Time
Offensive Zone Start	1165
Neutral Zone Start	646
Defensive Zone Start	1161

	Puck Time
With Puck	30
Without Puck	30

	Faceoffs
Faceoffs Won	1518
Faceoffs Lost	1454

	Team Average Shots after	League Average Shots after
1st Period	8.8	9.57
2nd Period	18.4	20.31
3rd Period	28.8	30.68
Overtime	29.9	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.4	0.64
2nd Period	1.2	1.65
3rd Period	2.1	2.67
Overtime	2.3	2.83


Even Strenght Goal	75
PP Goal	35
PK Goal	1
Empty Net Goal	1

	Home	Away
Win	12	11
Lost	12	9
Overtime Lost	1	4


PP Attempt	194
PP Goal	35
PK Attempt	214
PK Goal Against	44

	Home
Shots For	29.3
Shots Against	29.9
Goals For	2.3
Goals Against	2.5
Hits	17.8
Shots Blocked	9.7
Pim	8.8

Cap Hit


	Projected Total Cap Hit	79,516,666$
	Projected Cap Space	1,983,334$
	Retains And Buyout Cap Hit	0$
	Salary Cap To Date	50,018,553$
	Players In Salary Cap	25
	LTIR Players	0

Blues Roster	Pos	Age	Cap Hit	2020-21	2021-22	2022-23	2023-24	2024-25	2025-26
Adam Pelech	D	25	1,600,000$	1,600,000$	1,600,000$
Alec Martinez	D	32	4,000,000$	4,000,000$
Alex Chiasson	LW/RW	28	2,150,000$	2,150,000$	2,150,000$
Blake Comeau	LW/RW	33	2,400,000$	2,400,000$	2,400,000$
Brandon Pirri	C	28	775,000$	775,000$	775,000$
Bryan Rust	LW/RW	27	3,500,000$	3,500,000$	3,500,000$	3,500,000$
Calvin de Haan	D	28	4,550,000$	4,550,000$	4,550,000$	4,550,000$
Conor Garland	LW/RW	23	775,000$	775,000$	775,000$
Conor Sheary	LW/RW	27	3,000,000$	3,000,000$
Cory Conacher	C	29	700,000$	700,000$
Dylan Larkin	C	23	6,100,000$	6,100,000$	6,100,000$	6,100,000$	6,100,000$
Ilya Mikheyev	LW/RW	24	925,000$	925,000$
James Reimer	G	31	3,400,000$	3,400,000$	3,400,000$
Jaroslav Halak	G	34	2,750,000$	2,750,000$
Justin Williams	RW	37	700,000$	700,000$
Kris Letang	D	32	7,250,000$	7,250,000$	7,250,000$	7,250,000$
Mackenzie MacEachern	LW	25	750,000$	750,000$
Marcus Foligno	LW	28	2,875,000$	2,875,000$
Martin Frk	RW	25	700,000$	700,000$
Mikael Backlund	C	30	5,350,000$	5,350,000$	5,350,000$	5,350,000$	5,350,000$	5,350,000$
Nick Holden	D	32	2,200,000$	2,200,000$
Patric Hornqvist	RW	32	4,250,000$	4,250,000$	4,250,000$	4,250,000$
Rasmus Ristolainen	D	24	5,400,000$	5,400,000$	5,400,000$
Ryan Getzlaf	C	34	8,250,000$	8,250,000$	8,250,000$
Yanni Gourde	C/LW/RW	27	5,166,666$	5,166,666$	5,166,666$	5,166,666$	5,166,666$	5,166,666$	5,166,666$

Lines

Forward Lines
#0 - Dylan Larkin	#0 - Ryan Getzlaf	#0 - Ilya Mikheyev
#0 - Bryan Rust	#0 - Mikael Backlund	#0 - Patric Hornqvist
#0 - Marcus Foligno	#0 - Yanni Gourde	#0 - Conor Garland
#0 - Alex Chiasson	#0 - Ryan Getzlaf	#0 - Blake Comeau

Defensive Pairings
#0 - Kris Letang	#0 - Rasmus Ristolainen
#0 - Adam Pelech	#0 - Alec Martinez
#0 - Calvin de Haan	#0 - Nick Holden

1st Power Play Unit
#0 - Dylan Larkin		#0 - Ryan Getzlaf		#0 - Alex Chiasson
#0 - Kris Letang			#0 - Rasmus Ristolainen

2nd Power Play Unit
#0 - Yanni Gourde		#0 - Mikael Backlund		#0 - Patric Hornqvist
#0 - Alec Martinez			#0 - Calvin de Haan

Goalies

Team Stats

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

#	VS Team	GP	W	L	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	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	GF%	SH%	SV%	PDO	PDOBRK
1	Bruins	1	0	1	0	0	0	0	0	1	-1	0	0.000	0	0	0	0	0	0	0	0	27	11	9	7	0	33	16	16	23	1	0	0.00%	8	1	87.50%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	20	10	22	8	17	8	nan%	0.0%	97.0%	97.0	DULL
2	Ducks	2	1	0	0	1	0	0	4	4	0	3	0.750	4	7	11	0	1	2	1	0	56	28	10	17	1	51	10	8	34	4	0	0.00%	4	1	75.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	43	24	39	18	38	19	57.1%	7.1%	92.2%	99.3	DULL
3	Canadiens	2	1	0	1	0	0	0	8	5	3	4	1.000	8	13	21	0	2	2	3	1	65	33	17	14	1	56	18	20	28	3	1	33.33%	10	2	80.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	44	26	39	17	37	18	70.0%	12.3%	91.1%	103.4	Unlucky
4	Stars	2	1	0	1	0	0	0	5	2	3	4	1.000	5	9	14	0	2	0	2	1	61	20	23	17	1	52	15	12	43	9	2	22.22%	6	0	100.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	45	24	39	18	35	18	60.0%	8.2%	96.2%	104.4	DULL
5	Penguins	2	0	1	0	0	0	1	4	6	-2	1	0.250	4	7	11	0	1	2	1	0	66	16	24	22	8	73	19	14	32	12	1	8.33%	7	2	71.43%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	42	22	43	19	38	20	42.9%	6.1%	91.8%	97.8	DULL
6	Predators	2	0	1	0	0	0	1	2	5	-3	1	0.250	2	3	5	0	1	0	1	0	59	19	16	22	5	60	18	18	31	7	0	0.00%	9	0	100.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	43	23	46	20	35	16	28.6%	3.4%	91.7%	95.1	DULL
7	Rangers	1	0	0	0	0	1	0	2	1	1	2	1.000	2	2	4	0	0	0	1	1	26	7	12	7	5	30	6	12	19	3	0	0.00%	6	0	100.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	22	11	22	9	20	9	66.7%	7.7%	96.7%	104.4	DULL
8	Red Wings	1	0	1	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	0	1	0	28	7	10	11	0	38	12	8	14	3	0	0.00%	4	1	75.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	20	11	22	9	16	8	33.3%	3.6%	92.1%	95.7	DULL
9	Jets	2	0	1	0	0	1	0	4	5	-1	2	0.500	4	4	8	0	0	2	1	2	47	6	23	17	4	63	18	22	42	6	1	16.67%	11	1	90.91%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	39	19	49	20	36	17	42.9%	8.5%	92.1%	100.6	DULL
10	Avalanche	4	0	3	1	0	0	0	6	12	-6	2	0.250	6	9	15	0	0	4	1	1	95	22	37	33	3	125	44	50	62	15	3	20.00%	25	8	68.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	82	44	89	36	70	33	42.9%	6.3%	90.4%	96.7	Unlucky
11	Capitals	1	1	0	0	0	0	0	2	1	1	2	1.000	2	2	4	0	0	2	0	0	29	11	12	6	0	25	9	6	17	4	2	50.00%	3	1	66.67%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	24	15	17	8	17	8	nan%	6.9%	96.0%	102.9	DULL
12	Canucks	2	1	0	0	0	1	0	9	4	5	4	1.000	9	14	23	0	2	5	1	2	47	13	19	15	4	63	25	20	37	12	3	25.00%	10	1	90.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	40	20	45	20	39	20	66.7%	19.1%	93.7%	112.8	LUCKY
13	Maple Leafs	2	1	1	0	0	0	0	4	4	0	2	0.500	4	7	11	0	1	0	3	0	64	17	10	37	0	51	18	20	41	6	2	33.33%	10	3	70.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	42	23	39	19	38	18	66.7%	6.3%	92.2%	98.4	DULL
14	Coyotes	2	0	2	0	0	0	0	2	5	-3	0	0.000	2	4	6	0	1	1	0	0	49	20	18	11	0	49	17	6	44	6	1	16.67%	3	1	66.67%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	48	27	34	16	36	20	20.0%	4.1%	89.8%	93.9	Unlucky
15	Blackhawks	2	1	0	0	0	0	1	5	4	1	3	0.750	5	8	13	0	0	1	4	0	60	21	10	22	11	58	12	22	42	12	2	16.67%	11	2	81.82%	1	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	42	22	45	20	37	19	60.0%	8.3%	93.1%	101.4	DULL
16	Flames	2	1	1	0	0	0	0	7	5	2	2	0.500	7	12	19	0	1	2	4	0	68	15	24	29	0	79	18	20	29	11	2	18.18%	11	3	72.73%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	39	20	45	18	34	18	71.4%	10.3%	93.7%	104.0	LUCKY
17	Sabres	2	0	1	1	0	0	0	6	7	-1	2	0.500	6	8	14	0	1	2	2	1	60	15	15	27	3	57	10	12	38	12	3	25.00%	6	5	16.67%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	42	22	41	19	38	21	60.0%	10.0%	87.7%	97.7	FUN
18	Kings	2	0	2	0	0	0	0	4	7	-3	0	0.000	4	6	10	0	1	3	0	0	65	14	28	23	0	52	19	22	33	10	1	10.00%	11	2	81.82%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	42	22	40	19	37	19	37.5%	6.2%	86.5%	92.7	Unlucky
19	Flyers	1	1	0	0	0	0	0	2	1	1	2	1.000	2	3	5	0	0	2	0	0	21	7	9	5	0	29	13	12	10	7	2	28.57%	6	0	100.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	19	9	22	9	18	9	0.0%	9.5%	96.6%	106.1	LUCKY
20	Lightning	2	1	1	0	0	0	0	7	5	2	2	0.500	7	12	19	0	1	2	4	0	57	22	16	19	0	55	27	20	40	10	3	30.00%	10	1	90.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	41	21	42	19	36	18	50.0%	12.3%	90.9%	103.2	FUN
21	Oilers	2	0	2	0	0	0	0	4	12	-8	0	0.000	4	7	11	0	1	1	2	0	68	29	15	24	0	76	26	14	42	12	2	16.67%	7	3	57.14%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	43	22	40	18	36	19	18.2%	5.9%	84.2%	90.1	Unlucky
22	Senators	1	1	0	0	0	0	0	5	3	2	2	1.000	5	7	12	0	1	2	2	0	34	10	18	6	0	36	7	12	15	5	1	20.00%	6	2	66.67%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	20	11	22	8	17	8	80.0%	14.7%	91.7%	106.4	LUCKY
23	Sharks	2	0	2	0	0	0	0	3	6	-3	0	0.000	3	3	6	0	0	0	3	0	66	19	16	31	0	62	24	18	45	4	0	0.00%	8	1	87.50%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	41	22	42	19	35	16	37.5%	4.5%	90.3%	94.9	Unlucky
24	Islanders	1	0	0	0	0	0	1	2	3	-1	1	0.500	2	4	6	0	0	1	1	0	33	4	7	22	3	30	12	8	18	2	0	0.00%	4	2	50.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	20	11	23	10	20	10	66.7%	6.1%	90.0%	96.1	Unlucky
25	Blue Jackets	2	1	0	0	0	1	0	4	2	2	4	1.000	4	4	8	0	0	1	2	2	65	18	20	25	5	57	19	12	34	6	1	16.67%	6	0	100.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	44	25	42	19	37	18	60.0%	6.2%	96.5%	102.6	DULL
26	Wild	2	1	1	0	0	0	0	6	6	0	2	0.500	6	9	15	1	0	3	3	0	58	11	23	24	0	53	21	17	22	6	2	33.33%	6	1	83.33%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	42	24	41	18	36	17	44.4%	10.3%	88.7%	99.0	FUN
27	Golden Knights	2	2	0	0	0	0	0	4	2	2	4	1.000	4	7	11	0	1	2	1	0	63	17	30	16	0	50	23	12	38	6	0	0.00%	6	0	100.00%	0	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	44	25	40	17	35	18	66.7%	6.3%	96.0%	102.3	DULL
	_Vs Division	14	3	6	2	0	1	2	28	34	-6	14	0.500	28	42	70	1	3	10	12	4	380	99	132	135	24	411	128	141	242	55	10	18.18%	68	12	82.35%	1	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	295	159	311	134	251	123	45.0%	7.4%	91.7%	99.1	DULL
	_Vs Conference	30	8	15	2	1	2	2	65	79	-14	27	0.450	65	102	167	1	11	26	24	6	862	254	292	301	29	893	290	261	544	120	19	15.83%	128	24	81.25%	1	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	639	347	640	284	545	276	45.5%	7.5%	91.2%	98.7	DULL
	_Since Last GM Reset	49	15	21	4	1	4	4	112	121	-9	51	0.520	112	173	285	1	18	42	44	11	1437	432	471	509	54	1463	476	433	873	194	35	18.04%	214	44	79.44%	1	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	1046	569	1043	465	899	455	50.0%	7.8%	91.7%	99.5	DULL
	Total	49	15	21	4	1	4	4	112	121	-9	51	0.520	112	173	285	1	18	42	44	11	1437	432	471	509	54	1463	476	433	873	194	35	18.04%	214	44	79.44%	1	584	1165	50.13%	590	1161	50.82%	344	646	53.25%	1046	569	1043	465	899	455	50.0%	7.8%	91.7%	99.5	DULL

	Puck Time
Offensive Zone	21
Neutral Zone	18
Defensive Zone	21

	Puck Time
Offensive Zone Start	1165
Neutral Zone Start	646
Defensive Zone Start	1161

	Puck Time
With Puck	30
Without Puck	30

	Faceoffs
Faceoffs Won	1518
Faceoffs Lost	1454

	Team Average Shots after	League Average Shots after
1st Period	8.8	9.57
2nd Period	18.4	20.31
3rd Period	28.8	30.68
Overtime	29.9	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.4	0.64
2nd Period	1.2	1.65
3rd Period	2.1	2.67
Overtime	2.3	2.83


Even Strenght Goal	75
PP Goal	35
PK Goal	1
Empty Net Goal	1

	Home	Away
Win	12	11
Lost	12	9
Overtime Lost	1	4


PP Attempt	194
PP Goal	35
PK Attempt	214
PK Goal Against	44

	Home
Shots For	29.3
Shots Against	29.9
Goals For	2.3
Goals Against	2.5
Hits	17.8
Shots Blocked	9.7
Pim	8.8

Schedule

Date	Matchup			Result	Detail
2020-10-24	Capitals	@	Blues	Capitals1,Blues2	RECAP
2020-10-27	Stars	@	Blues	Stars1,Blues3	RECAP
2020-10-29	Blues	@	Maple Leafs	Blues2,Maple Leafs1	RECAP
2020-11-01	Blues	@	Senators	Blues5,Senators3	RECAP
2020-11-03	Blues	@	Canadiens	Blues4,Canadiens3 (OT)	RECAP
2020-11-05	Blues	@	Islanders	Blues2,Islanders3 (SO)	RECAP
2020-11-08	Canucks	@	Blues	Canucks1,Blues5	RECAP
2020-11-10	Canadiens	@	Blues	Canadiens2,Blues4	RECAP
2020-11-12	Avalanche	@	Blues	Avalanche4,Blues0	RECAP
2020-11-15	Kings	@	Blues	Kings4,Blues2	RECAP
2020-11-17	Blues	@	Bruins	Blues0,Bruins1	RECAP
2020-11-18	Blues	@	Red Wings	Blues1,Red Wings3	RECAP
2020-11-21	Wild	@	Blues	Wild4,Blues2	RECAP
2020-11-23	Blue Jackets	@	Blues	Blue Jackets1,Blues2	RECAP
2020-11-24	Blues	@	Wild	Blues4,Wild2	RECAP
2020-11-27	Blues	@	Canucks	Blues4,Canucks3 (SO)	RECAP
2020-11-28	Blues	@	Oilers	Blues2,Oilers4	RECAP
2020-12-01	Blues	@	Flames	Blues5,Flames2	RECAP
2020-12-04	Coyotes	@	Blues	Coyotes3,Blues1	RECAP
2020-12-07	Blues	@	Blue Jackets	Blues2,Blue Jackets1 (SO)	RECAP
2020-12-08	Ducks	@	Blues	Ducks1,Blues2	RECAP
2020-12-11	Lightning	@	Blues	Lightning3,Blues6	RECAP
2020-12-13	Flames	@	Blues	Flames3,Blues2	RECAP
2020-12-15	Predators	@	Blues	Predators2,Blues0	RECAP
2020-12-17	Blues	@	Predators	Blues2,Predators3 (SO)	RECAP
2020-12-19	Blues	@	Lightning	Blues1,Lightning2	RECAP
2020-12-21	Blues	@	Stars	Blues2,Stars1 (OT)	RECAP
2020-12-22	Penguins	@	Blues	Penguins2,Blues1	RECAP
2020-12-24	Blues	@	Blackhawks	Blues2,Blackhawks3 (SO)	RECAP
2020-12-26	Blues	@	Penguins	Blues3,Penguins4 (SO)	RECAP
2020-12-29	Maple Leafs	@	Blues	Maple Leafs3,Blues2	RECAP
2021-01-01	Blues	@	Sabres	Blues3,Sabres2 (OT)	RECAP
2021-01-03	Golden Knights	@	Blues	Golden Knights1,Blues2	RECAP
2021-01-05	Blackhawks	@	Blues	Blackhawks1,Blues3	RECAP
2021-01-07	Avalanche	@	Blues	Avalanche3,Blues2	RECAP
2021-01-09	Oilers	@	Blues	Oilers8,Blues2	RECAP
2021-01-12	Blues	@	Sharks	Blues1,Sharks2	RECAP
2021-01-14	Blues	@	Kings	Blues2,Kings3	RECAP
2021-01-18	Blues	@	Jets	Blues2,Jets4	RECAP
2021-01-20	Jets	@	Blues	Jets1,Blues2 (SO)	RECAP
2021-01-22	Blues	@	Coyotes	Blues1,Coyotes2	RECAP
2021-01-24	Blues	@	Avalanche	Blues3,Avalanche2 (OT)	RECAP
2021-01-26	Blues	@	Golden Knights	Blues2,Golden Knights1	RECAP
2021-01-29	Sharks	@	Blues	Sharks4,Blues2	RECAP
2021-01-31	Sabres	@	Blues	Sabres5,Blues3	RECAP
2021-02-02	Rangers	@	Blues	Rangers1,Blues2 (SO)	RECAP
2021-02-04	Ducks	@	Blues	Ducks3,Blues2 (OT)	RECAP
2021-02-06	Flyers	@	Blues	Flyers1,Blues2	RECAP
2021-02-09	Blues	@	Avalanche	Blues1,Avalanche3	RECAP
2021-02-18	Blues	@	Canucks
2021-02-19	Blues	@	Flames
2021-02-22	Blues	@	Oilers
2021-02-23	Blues	@	Jets
2021-02-26	Hurricanes	@	Blues
2021-02-28	Jets	@	Blues
2021-03-02	Stars	@	Blues
2021-03-05	Blues	@	Ducks
2021-03-07	Blues	@	Golden Knights
2021-03-09	Predators	@	Blues
2021-03-10	Blues	@	Predators
2021-03-12	Devils	@	Blues
2021-03-14	Coyotes	@	Blues
2021-03-15	Blues	@	Stars
2021-03-17	Blues	@	Wild
2021-03-19	Blackhawks	@	Blues
2021-03-21	Islanders	@	Blues
2021-03-23	Stars	@	Blues
2021-03-26	Blues	@	Rangers
2021-03-29	Blues	@	Devils
2021-03-31	Blues	@	Blackhawks
2021-04-02	Panthers	@	Blues
2021-04-05	Sharks	@	Blues
2021-04-07	Senators	@	Blues
2021-04-09	Blues	@	Flyers
2021-04-11	Blues	@	Hurricanes
2021-04-13	Blues	@	Panthers
2021-04-16	Blues	@	Capitals
2021-04-19	Kings	@	Blues
2021-04-21	Wild	@	Blues
2021-04-23	Red Wings	@	Blues
2021-04-25	Bruins	@	Blues
2021-04-27	Blues	@	Avalanche

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
79,516,666$	0$	79,516,666$	1,983,334$

Arena	Goal Horn	About us
		Name	Scottbank
		City	Saint-Louis
		Capacity	18000
		Season Ticket Holders	40%

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	6000	5000	2000	4000	1000
Ticket Price	100$	60$	35$	20$	200$
Attendance	142054	119201	47890	97080	23795
Attendance PCT	94.70%	95.36%	95.78%	97.08%	95.18%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
16	17201 - 95.56%	606,578$	15,164,447$	18000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
79,516,666$	79,516,666$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
50,018,553$	79,516,666$	50,018,553$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
9,705,246$	69	427,509$	29,498,121$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
29,498,121$	79,516,666$	-381,376,823$	-401,169,698$

Depth Chart

Star Player

Franchise Player

Rookie

Injured

Cold Streak

Hot Streak

Left Wing

Center

Right Wing

Yanni Gourde	AGE:27	CAN
Bryan Rust	AGE:27	USA
Conor Sheary	AGE:27	USA
Marcus Foligno	AGE:28	USA
Blake Comeau	AGE:33	CAN
Alex Chiasson	AGE:28	CAN
Ilya Mikheyev	AGE:24	RUS
Brendan Perlini	AGE:23	GBR
Conor Garland	AGE:23	USA
Mackenzie MacEachern	AGE:25	USA

Ryan Getzlaf	AGE:34	CAN
Dylan Larkin	AGE:23	USA
Mikael Backlund	AGE:30	SWE
Yanni Gourde	AGE:27	CAN
Colin White	AGE:22	USA
Logan Brown	AGE:21	USA
David Gustafsson	AGE:19	SWE
Brandon Pirri	AGE:28	CAN
Dominic Turgeon	AGE:23	CAN
Cory Conacher	AGE:29	CAN

Yanni Gourde	AGE:27	CAN
Colin White	AGE:22	USA
Patric Hornqvist	AGE:32	SWE
Bryan Rust	AGE:27	USA
Conor Sheary	AGE:27	USA
Blake Comeau	AGE:33	CAN
Alex Chiasson	AGE:28	CAN
Ilya Mikheyev	AGE:24	RUS
Brendan Perlini	AGE:23	GBR
Conor Garland	AGE:23	USA
Justin Williams	AGE:37	CAN
Martin Frk	AGE:25	CZE

Defense #1

Defense #2

Goalie

Kris Letang	AGE:32	CAN
Rasmus Ristolainen	AGE:24	FIN
Calvin de Haan	AGE:28	CAN
Alec Martinez	AGE:32	USA
Nick Holden	AGE:32	CAN

Adam Pelech	AGE:25	CAN
Christian Wolanin	AGE:24	CAN
Gustav Olofsson	AGE:24	SWE
Louie Belpedio	AGE:23	USA

James Reimer	AGE:31	CAN
Jaroslav Halak	AGE:34	SVK
Sam Montembeault	AGE:22	CAN

Draft Picks

Year	Ronde 1	Ronde 2	Ronde 3	Ronde 4	Ronde 5	Ronde 6	Ronde 7
2021
2022
2023
2024
2025

** Conditional Draft Pick That Have Been Traded

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
1 ballo stl 2021	Blues
2 ballo stl 2021	Blues
Austin Osmanski	Blues
Ben Betker	Blues
Blake Pietila	Blues
Brandon Duhaime	Blues
Brandon Hickey	Blues
Brenden Troock	Blues
Brian Hart	Blues
Brogan Rafferty	Blues			Link
Calle Sjalin	Blues	2017	159
Cam Morrison	Blues
Chrisiano Digiacinto	Blues
Christopher Paquette	Blues
Cole Krygier	Blues	2018	217
Emil Pettersson	Blues
Eric Engstrand	Blues	2020	163
Garrett Pilon	Blues
Hunter Skinner	Blues	2019	115
J-F Berube	Blues
Jackson Houck	Blues
Jake Kucharski	Blues	2018	213
Jared Coreau	Blues
Leo Loof	Blues	2020	101
Magnus Chrona	Blues	2018	186
Maksim Sushko	Blues	2017	129
Mark Shoemaker	Blues
Martin Hanzal	Blues			Link
Martin Pospisil	Blues	2018	124
Mason Geertsen	Blues
Mathew Hill	Blues	2019	198
Matias Rajaniemi	Blues	2020	194
Riley Bruce	Blues
Spencer Abbott	Blues
Stanislav Galiev	Blues
Tanner Faith	Blues
Trenton Bourque	Blues	2017	189
Vladislav Yeryomenko	Blues	2018	182
Wyatte Wylie	Blues	2018	155
Zac Dalpe	Blues			Link

News

J-F Berube has been added to Blues.

Jared Coreau has been added to Blues.

Blake Pietila has been added to Blues.

Blues drafts Matias Rajaniemi as the #194 overall pick in the Entry Draft of year 2020.

Blues drafts Eric Engstrand as the #163 overall pick in the Entry Draft of year 2020.

Blues drafts Leo Loof as the #101 overall pick in the Entry Draft of year 2020.

TRADE : From Blues to Red Wings : Y:2020-RND:2-STL.

TRADE : From Blues to Red Wings : Ryan Miller (77), Y:2010-RND:2-STL.

TRADE : From Red Wings to Blues : Jaroslav Halak (82).

TRADE : From Blues to Devils : Milan Lucic (64), Y:2020-RND:1-STL, Y:2020-RND:3-TBL.

TRADE : From Devils to Blues : Bryan Rust (75), Marcus Foligno (69).

Injuries

No Injury or Suspension.

Game Center

Flyers20-22-8, 48pts

12Final

Blues23-21-5, 51pts

13Final

Avalanche28-17-4, 60pts

Blues23-21-5, 51pts

Thu, Feb 18General Motors Place

Canucks21-20-8, 50pts

Blues23-21-5, 51pts

Fri, Feb 19Pengrowth Saddledome

Flames28-17-5, 61pts

Blues23-21-5, 51pts

Mon, Feb 22Rexall Place

Oilers24-18-7, 55pts

Team Leaders

	GOALS Dylan Larkin 23			ASSISTS Ryan Getzlaf 32
	POINTS Dylan Larkin 45			PLUS/MINUS Marcus Foligno 5
	WINS Jaroslav Halak 19			SV% James Reimer 0.933

Team Stats

Goals For 112 2.29 GFG	Shots For 1437 29.33 Avg	Power Play Percentage 18.0% 35 GF	Offensive Zone Start 50.1%
Goals Against 121 2.47 GAA	Shots Against 1463 29.86 Avg	Penalty Kill Percentage 79.4% 44 GA	Defensive Zone Start 49.9%

Team Info


	General Manager	Michel Letarte
	Head Coach
	Conference	Conference Ouest
	Division	Centrale

Blues Affiliation


	Team Name	Peroria
	City	Peroria
	Head Coach
	Division	Central

Arena Info


	Stadium	Scottbank
	Capacity	18,000
	Attendance	17,201
	Season Tickets	7,200

Salary Cap


	Total Cap Hit	79,516,666$
	Cap Hit Percentage	97.57%
	Projected Cap Space	1,983,334$
	Retains & Buyout	0$

Finance


	Team Revenue	15,164,447$
	Estimated Revenue	24,869,693$
	Estimated Expenses	79,516,674$
	Operating Income	-54,646,981$
	Bank Account	-381,376,823$

Team History


	2020	23-21-5 (51PTS)
	Record (W-L-OTL)	58-55-18 (134PTS)
	Playoff Appearances	0
	Playoff Record (W-L)	0-
	Stanley Cup	0