BluesSt. Louis Blues
14-10-3, 31pts · 7th in Western Conference
Roster
Player # POS CON Checking Fighting Discipline Skating Strength Endurance Durability Puck Handling Face Offs Passing Scoring Defense Penalty Shot Exp Leadership Potential Morale OV AGE CONTRACT
Eric Staal0C100.0054438176888285748277755674868149830363,250,000$/1yrs
Evander Kane0LW99.0086535078828583777274817079777673830297,000,000$/5yrs
Brayden Point0C99.0055418986648587847983806682676863830246,750,000$/2yrs
Connor Brown0RW100.0059398373718690725876718372716747830272,000,000$/1yrs
Par Lindholm0C/LW100.005939896071696358765659805877673683029850,000$/1yrs
Patric Hornqvist0RW100.0085457174708272735472776674827529830345,300,000$/3yrs
Tyler Seguin0C/RW100.0079408488778489868279736486757974830289,850,000$/7yrs
Brett Connolly0RW100.0066418269827788685367745672757173830285,250,000$/4yrs
Alexander Radulov0LW/RW100.0066417076788279775473736480847746660346,250,000$/2yrs
Jimmy Vesey0LW100.006245876884758366526564736873695677027900,000$/2yrs
Brock Boeser (A)0RW99.0058418680798476785680755977656681830235,875,000$/2yrs
Matthew Tkachuk0LW/RW100.0083536479818388785382775879657187760237,000,000$/2yrs
Jonas Brodin0D99.8959408366768788643079558852736772760274,166,667$/1yrs
Haydn Fleury0D100.0073428968857564663074656954676485810241,100,000$/1yrs
Hampus Lindholm0D100.0059427470858974693078567853716784830265,205,556$/2yrs
Josh Manson0D100.0087467265888772633071547748766943760294,100,000$/2yrs
Travis Sanheim0D100.0059418068808688673075697456676481790243,250,000$/1yrs
Vince Dunn0D100.0063438269758190683073706256676569830242,000,000$/1yrs
Scratches
TEAM AVERAGE99.7867437973798281725374696968737064800
Filter Tips
PriorityTypeDescription
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
10textAny 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
Malcolm Subban099.007774728376757776757776737769830271,000,000$/1yrs
Elvis Merzlikins0100.009085838089889089889089717562830264,000,000$/1yrs
Scratches
TEAM AVERAGE99.508480788283828483828483727666830
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Gerard Gallant82818279847863CAN5635,000,000$
General Manager
Daniel Dechesne
Player Stats
Filter Tips
PriorityTypeDescription
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
10textAny 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 PSS
1Brayden PointBluesBlues0C271419337404097357914.43%1020.741455500061351.68%8052910011.1800
2Brock BoeserBluesBlues0RW271015255204878336312.82%619.972355100050236.73%492115000.9300
3Tyler SeguinBluesBlues0C/RW271410243206396264514.58%1116.772464900001049.11%3361910001.0603
4Matthew TkachukBluesBlues0LW/RW27816243280769325498.60%618.241344100022044.74%38225000.9700
5Evander KaneBluesBlues0LW271192063156784254013.10%1017.9213451101161231.82%221810010.8300
6Alexander RadulovBluesBlues0LW/RW2759143120536416337.81%714.091123500060050.00%20238000.7413
7Jonas BrodinBluesBlues0D2731013680403524148.57%5726.842026001166000.00%0620000.3600
8Patric HornqvistBluesBlues0RW2721113316060309216.67%1514.920001700001031.58%1986000.6511
9Vince DunnBluesBlues0D2731013080313311129.09%3719.11202410002000.00%0516100.5000
10Eric StaalBluesBlues0C2775124402565163010.77%1113.690005112591049.38%243910000.6500
11Connor BrownBluesBlues0RW275611-1003040132812.50%1111.2600015112611071.43%141412000.7202
12Brett ConnollyBluesBlues0RW274373403729101813.79%713.060007000192028.57%2145000.4011
13Travis SanheimBluesBlues0D27077480282812110.00%4223.700005100053000.00%0925000.2200
14Haydn FleuryBluesBlues0D270665002113460.00%1816.92000200044000.00%0815000.2600
15Jimmy VeseyBluesBlues0LW27336-2001726131811.54%38.880000011241025.00%845000.5000
16Hampus LindholmBluesBlues0D27235-110019276137.41%3719.390114700042200.00%0112000.1900
17Josh MansonBluesBlues0D2704471604321630.00%1314.53000400012000.00%0116000.2000
18Par LindholmBluesBlues0C/LW26011-3001683100.00%39.230004000280054.41%6806000.0800
Team Total or Average4859114723852153571486728749310.50%30416.6412193154534745213749.54%1643201206120.59310
Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Malcolm SubbanBluesBlues1510310.9003.238174044440228300.00001413012
2Elvis MerzlikinsBluesBlues154720.9023.078220042428189000.500101314010
Team Total or Average30141030.9013.1516394086868417300.500102727022
Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# VS Team 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 GF% SH% SV% PDO PDOBRK
1BluesBruins1100000052321.000581300122029881302894285240.00%20100.00%130362548.48%29760449.17%20739053.08%2312189171060.0%17.2%92.9%110.1LUCKY
2BluesFlyers2010100056-120.5005813001031721229283571610607114.29%4325.00%030362548.48%29760449.17%20739053.08%46274218351857.1%6.9%89.5%96.4Unlucky
3BluesPredators3120000059-420.333591400212097252448085321076800.00%50100.00%030362548.48%29760449.17%20739053.08%67396126512535.7%5.2%89.4%94.6Unlucky
4BluesSabres1100000062421.000611170024003191930308620100.00%3166.67%030362548.48%29760449.17%20739053.08%221320817985.7%19.4%93.3%112.7LUCKY
5BluesStars1010000001-100.0000000000003141890338031000.00%000.00%030362548.48%29760449.17%20739053.08%23141981680.0%0.0%97.0%97.0DULL
6BluesDevils1010000025-300.0002350011002891360288425200.00%20100.00%030362548.48%29760449.17%20739053.08%221320817828.6%7.1%82.1%89.3Unlucky
7BluesBlackhawks2110000067-120.50061016000330581217290732212607114.29%5180.00%030362548.48%29760449.17%20739053.08%46274116321645.5%10.3%90.4%100.8FUN
8BluesCanadiens20001010119241.00011132400333364211823775311452600.00%7271.43%030362548.48%29760449.17%20739053.08%41235019341661.1%17.2%88.0%105.2FUN
9BluesOilers2100000199030.750914230031507317312436032447400.00%20100.00%030362548.48%29760449.17%20739053.08%48304317331550.0%12.3%85.0%97.3FUN
10BluesBlue Jackets430000011512370.875152439005371110443035415243321069111.11%16475.00%030362548.48%29760449.17%20739053.08%83489136693463.6%13.6%92.1%105.7LUCKY
11BluesPanthers2020000024-200.00022400101067251923056258523266.67%4175.00%030362548.48%29760449.17%20739053.08%4629411631150.0%3.0%92.9%95.8DULL
12BluesSenators22000000105541.000101626000550621130210612516485240.00%8275.00%230362548.48%29760449.17%20739053.08%45253916341872.7%16.1%91.8%107.9LUCKY
13BluesWild1000010045-110.500471100121033710151441642111100.00%2150.00%030362548.48%29760449.17%20739053.08%211322717842.9%12.1%88.6%100.8FUN
14BluesLightning1010000034-100.00035800111032121550285825000.00%4175.00%030362548.48%29760449.17%20739053.08%211221817750.0%9.4%85.7%95.1FUN
15BluesSharks1100000063321.000611170024004013198025224282150.00%2150.00%030362548.48%29760449.17%20739053.08%221420817871.4%15.0%88.0%103.0FUN
16BluesGolden Knights1010000025-300.0002350000203191210033319266116.67%7357.14%030362548.48%29760449.17%20739053.08%211221916833.3%6.5%84.8%91.3Unlucky
_Vs Division724001001522-750.35715264100366021948691011235782618816212.50%12283.33%030362548.48%29760449.17%20739053.08%15895145591175939.4%6.8%90.6%97.5Unlucky
_Vs Conference1145001013239-7100.455325486008111303638713114343531355328928414.29%23673.91%030362548.48%29760449.17%20739053.08%251153230941849145.9%8.8%89.0%97.8Unlucky
_Since Last GM Reset2711100211291883310.5749114423500233035585823831230018868305155705661218.18%732072.60%330362548.48%29760449.17%20739053.08%60636057423646123153.7%10.6%89.9%100.5FUN
Total2711100211291883310.5749114423500233035585823831230018868305155705661218.18%732072.60%330362548.48%29760449.17%20739053.08%60636057423646123153.7%10.6%89.9%100.5FUN

Puck Time
Offensive Zone 22
Neutral Zone 17
Defensive Zone 21
Puck Time
Offensive Zone Start 625
Neutral Zone Start 390
Defensive Zone Start 604
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 807
Faceoffs Lost 812
Team Average Shots after League Average Shots after
1st Period 8.89.57
2nd Period 20.420.31
3rd Period 31.530.68
Overtime 32.131.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.90.64
2nd Period 2.01.65
3rd Period 3.32.67
Overtime 3.42.83
Even Strenght Goal 76
PP Goal 12
PK Goal 3
Empty Net Goal 0
Home Away
Win 68
Lost 73
Overtime Lost 12
PP Attempt 66
PP Goal 12
PK Attempt 73
PK Goal Against 20
Home
Shots For 31.8
Shots Against 32.1
Goals For 3.4
Goals Against 3.3
Hits 26.1
Shots Blocked 11.3
Pim 5.7
Cap Hit
Blues
Projected Total Cap Hit83,758,056$
Projected Cap Space4,241,944$
Retains And Buyout Cap Hit0$
Salary Cap To Date25,759,429$
Players In Salary Cap21
LTIR Players0
Blues Roster Pos Age Cap Hit 2020-21 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27 2027-28
Alexander RadulovLW/RW346,250,000$6,250,000$6,250,000$UFA
Brayden Point C246,750,000$6,750,000$6,750,000$ RFA
Brett ConnollyRW285,250,000$5,250,000$5,250,000$5,250,000$5,250,000$UFA
Brock Boeser RW235,875,000$6,125,000$7,500,000$ RFA
Connor BrownRW272,000,000$2,000,000$ RFA
Elvis Merzlikins G264,000,000$4,000,000$ RFA
Eric StaalC363,250,000$3,250,000$UFA
Evander KaneLW297,000,000$6,000,000$7,000,000$7,000,000$6,000,000$6,000,000$UFA
Hampus LindholmD265,205,556$5,205,556$5,205,556$UFA
Haydn Fleury D241,100,000$1,100,000$RFA
Jimmy Vesey LW27900,000$900,000$ 900,000$ UFA
Jonas BrodinD274,166,667$3,500,000$ RFA
Josh MansonD294,100,000$4,100,000$4,100,000$UFA
Malcolm SubbanG271,000,000$1,000,000$ RFA
Matthew Tkachuk LW/RW237,000,000$7,000,000$7,000,000$RFA
Par LindholmC/LW29850,000$850,000$UFA
Patric HornqvistRW345,300,000$5,300,000$5,300,000$5,300,000$UFA
Travis Sanheim D243,250,000$3,250,000$ RFA
Tyler SeguinC/RW289,850,000$9,850,000$9,850,000$9,850,000$9,850,000$9,850,000$9,850,000$9,850,000$UFA
Vince Dunn D242,000,000$2,000,000$ RFA
Non-Roster Pos Age Cap Hit 2020-21 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27 2027-28
Nic Petan C250$775,000$ RFA
Rasmus Sandin D20894,167$894,167$ 894,167$ RFA
Sam Gagner C/LW/RW31750,000$750,000$ UFA
Vladislav Kamenev C24750,000$750,000$ RFA

Lines
Forward Lines


Evander Kane


Brayden Point


Brock Boeser


Matthew Tkachuk


Tyler Seguin


Patric Hornqvist


Alexander Radulov


Eric Staal


Brett Connolly


Jimmy Vesey


Par Lindholm


Connor Brown

Defensive Pairings


Jonas Brodin


Vince Dunn


Travis Sanheim


Hampus Lindholm


Josh Manson


Haydn Fleury

1st Power Play Unit


Evander Kane


Brayden Point


Brock Boeser


Jonas Brodin


Travis Sanheim

2nd Power Play Unit


Matthew Tkachuk


Tyler Seguin


Patric Hornqvist


Vince Dunn


Hampus Lindholm

Goalies


Malcolm Subban


Elvis Merzlikins

Team Stats
Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# VS Team 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 GF% SH% SV% PDO PDOBRK
1BluesBruins1100000052321.000581300122029881302894285240.00%20100.00%130362548.48%29760449.17%20739053.08%2312189171060.0%17.2%92.9%110.1LUCKY
2BluesFlyers2010100056-120.5005813001031721229283571610607114.29%4325.00%030362548.48%29760449.17%20739053.08%46274218351857.1%6.9%89.5%96.4Unlucky
3BluesPredators3120000059-420.333591400212097252448085321076800.00%50100.00%030362548.48%29760449.17%20739053.08%67396126512535.7%5.2%89.4%94.6Unlucky
4BluesSabres1100000062421.000611170024003191930308620100.00%3166.67%030362548.48%29760449.17%20739053.08%221320817985.7%19.4%93.3%112.7LUCKY
5BluesStars1010000001-100.0000000000003141890338031000.00%000.00%030362548.48%29760449.17%20739053.08%23141981680.0%0.0%97.0%97.0DULL
6BluesDevils1010000025-300.0002350011002891360288425200.00%20100.00%030362548.48%29760449.17%20739053.08%221320817828.6%7.1%82.1%89.3Unlucky
7BluesBlackhawks2110000067-120.50061016000330581217290732212607114.29%5180.00%030362548.48%29760449.17%20739053.08%46274116321645.5%10.3%90.4%100.8FUN
8BluesCanadiens20001010119241.00011132400333364211823775311452600.00%7271.43%030362548.48%29760449.17%20739053.08%41235019341661.1%17.2%88.0%105.2FUN
9BluesOilers2100000199030.750914230031507317312436032447400.00%20100.00%030362548.48%29760449.17%20739053.08%48304317331550.0%12.3%85.0%97.3FUN
10BluesBlue Jackets430000011512370.875152439005371110443035415243321069111.11%16475.00%030362548.48%29760449.17%20739053.08%83489136693463.6%13.6%92.1%105.7LUCKY
11BluesPanthers2020000024-200.00022400101067251923056258523266.67%4175.00%030362548.48%29760449.17%20739053.08%4629411631150.0%3.0%92.9%95.8DULL
12BluesSenators22000000105541.000101626000550621130210612516485240.00%8275.00%230362548.48%29760449.17%20739053.08%45253916341872.7%16.1%91.8%107.9LUCKY
13BluesWild1000010045-110.500471100121033710151441642111100.00%2150.00%030362548.48%29760449.17%20739053.08%211322717842.9%12.1%88.6%100.8FUN
14BluesLightning1010000034-100.00035800111032121550285825000.00%4175.00%030362548.48%29760449.17%20739053.08%211221817750.0%9.4%85.7%95.1FUN
15BluesSharks1100000063321.000611170024004013198025224282150.00%2150.00%030362548.48%29760449.17%20739053.08%221420817871.4%15.0%88.0%103.0FUN
16BluesGolden Knights1010000025-300.0002350000203191210033319266116.67%7357.14%030362548.48%29760449.17%20739053.08%211221916833.3%6.5%84.8%91.3Unlucky
_Vs Division724001001522-750.35715264100366021948691011235782618816212.50%12283.33%030362548.48%29760449.17%20739053.08%15895145591175939.4%6.8%90.6%97.5Unlucky
_Vs Conference1145001013239-7100.455325486008111303638713114343531355328928414.29%23673.91%030362548.48%29760449.17%20739053.08%251153230941849145.9%8.8%89.0%97.8Unlucky
_Since Last GM Reset2711100211291883310.5749114423500233035585823831230018868305155705661218.18%732072.60%330362548.48%29760449.17%20739053.08%60636057423646123153.7%10.6%89.9%100.5FUN
Total2711100211291883310.5749114423500233035585823831230018868305155705661218.18%732072.60%330362548.48%29760449.17%20739053.08%60636057423646123153.7%10.6%89.9%100.5FUN

Puck Time
Offensive Zone 22
Neutral Zone 17
Defensive Zone 21
Puck Time
Offensive Zone Start 625
Neutral Zone Start 390
Defensive Zone Start 604
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 807
Faceoffs Lost 812
Team Average Shots after League Average Shots after
1st Period 8.89.57
2nd Period 20.420.31
3rd Period 31.530.68
Overtime 32.131.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.90.64
2nd Period 2.01.65
3rd Period 3.32.67
Overtime 3.42.83
Even Strenght Goal 76
PP Goal 12
PK Goal 3
Empty Net Goal 0
Home Away
Win 68
Lost 73
Overtime Lost 12
PP Attempt 66
PP Goal 12
PK Attempt 73
PK Goal Against 20
Home
Shots For 31.8
Shots Against 32.1
Goals For 3.4
Goals Against 3.3
Hits 26.1
Shots Blocked 11.3
Pim 5.7
Schedule
DateMatchup Result Detail
2020-12-09BluesVGKVSBluesSTLVGK5,STL2RECAP
2020-12-13BluesBOSVSBluesSTLBOS2,STL5RECAP
2020-12-15BluesSTLVSBluesCBJSTL4,CBJ2RECAP
2020-12-18BluesCHIVSBluesSTLCHI5,STL3RECAP
2020-12-22BluesSTLVSBluesEDMSTL3,EDM4 (SO)RECAP
2020-12-23BluesOTTVSBluesSTLOTT3,STL6RECAP
2020-12-25BluesSTLVSBluesNSHSTL3,NSH2RECAP
2020-12-28BluesCBJVSBluesSTLCBJ4,STL3 (SO)RECAP
2020-12-30BluesSTLVSBluesCBJSTL5,CBJ4RECAP
2021-01-01BluesDALVSBluesSTLDAL1,STL0RECAP
2021-01-04BluesNSHVSBluesSTLNSH3,STL1RECAP
2021-01-06BluesSTLVSBluesMTLSTL7,MTL6 (SO)RECAP
2021-01-08BluesSTLVSBluesPHISTL1,PHI3RECAP
2021-01-09BluesBufVSBluesSTLBuf2,STL6RECAP
2021-01-11BluesSTLVSBluesMINSTL4,MIN5 (OT)RECAP
2021-01-14BluesFLAVSBluesSTLFLA2,STL1RECAP
2021-01-16BluesSTLVSBluesOTTSTL4,OTT2RECAP
2021-01-17BluesSTLVSBluesTBLSTL3,TBL4RECAP
2021-01-19BluesNSHVSBluesSTLNSH4,STL1RECAP
2021-01-22BluesSTLVSBluesCBJSTL3,CBJ2RECAP
2021-01-24BluesSTLVSBluesMTLSTL4,MTL3 (OT)RECAP
2021-01-25BluesNJDVSBluesSTLNJD5,STL2RECAP
2021-01-29BluesPHIVSBluesSTLPHI3,STL4 (OT)RECAP
2021-02-01BluesSTLVSBluesEDMSTL6,EDM5RECAP
2021-02-02BluesCHIVSBluesSTLCHI2,STL3RECAP
2021-02-05BluesSTLVSBluesFLASTL1,FLA2RECAP
2021-02-06BluesSJSVSBluesSTLSJS3,STL6RECAP
2021-02-10BluesCBJVSBluesSTL
2021-02-14BluesVANVSBluesSTL
2021-02-19BluesTBLVSBluesSTL
2021-02-21BluesSTLVSBluesCAR
2021-02-25BluesMTLVSBluesSTL
2021-02-28BluesSTLVSBluesDET
2021-03-02BluesSTLVSBluesDAL
2021-03-03BluesNYRVSBluesSTL
2021-03-06BluesSTLVSBluesPHI
2021-03-08BluesCOLVSBluesSTL
2021-03-11BluesSTLVSBluesVGK
2021-03-12BluesTORVSBluesSTL
2021-03-17BluesCARVSBluesSTL
2021-03-19BluesSTLVSBluesWSH
2021-03-22BluesCGYVSBluesSTL
2021-03-24BluesSTLVSBluesMIN
2021-03-26BluesSTLVSBluesPIT
2021-03-27BluesVGKVSBluesSTL
2021-03-30BluesSTLVSBluesBOS
2021-04-01BluesCOLVSBluesSTL
2021-04-03BluesSTLVSBluesDAL
2021-04-05BluesOTTVSBluesSTL
2021-04-07BluesSTLVSBluesLAK
2021-04-10BluesSTLVSBluesBuf
2021-04-12BluesSJSVSBluesSTL
2021-04-14BluesSTLVSBluesWPG
2021-04-15BluesLAKVSBluesSTL
2021-04-17BluesSTLVSBluesARI
2021-04-20BluesBOSVSBluesSTL
2021-04-22BluesSTLVSBluesVAN
2021-04-23BluesARIVSBluesSTL
2021-04-25BluesSTLVSBluesTOR
2021-04-28BluesDALVSBluesSTL
2021-04-30BluesSTLVSBluesSJS
2021-05-03BluesSTLVSBluesCGY
2021-05-04BluesBufVSBluesSTL
2021-05-08BluesWPGVSBluesSTL
Trade Deadline --- Trades cant be done after this day is simulated!
2021-05-10BluesSTLVSBluesLAK
2021-05-13BluesPITVSBluesSTL
2021-05-16BluesSTLVSBluesCHI
2021-05-17BluesMTLVSBluesSTL
2021-05-20BluesSTLVSBluesNSH
2021-05-21BluesSTLVSBluesWPG
2021-05-23BluesDETVSBluesSTL
2021-05-26BluesMINVSBluesSTL
2021-05-28BluesSTLVSBluesNJD
2021-05-30BluesSTLVSBluesCHI
2021-06-01BluesWSHVSBluesSTL
2021-06-03BluesSTLVSBluesCOL
2021-06-06BluesMINVSBluesSTL
2021-06-08BluesSTLVSBluesCOL
2021-06-09BluesSTLVSBluesNYR
2021-06-13BluesWPGVSBluesSTL
2021-06-16BluesEDMVSBluesSTL
2021-06-19BluesSTLVSBluesNSH

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
84,455,556$ 0$ 83,758,056$ 4,241,944$

ArenaGoal HornAbout us
NameEnterprise Center
CitySt. Louis
Capacity19150
Season Ticket Holders70%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000300040001150
Ticket Price160$115$80$50$220$
Attendance5893953852294624569612450
Attendance PCT70.17%76.93%70.15%81.60%77.33%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
27 14314 - 74.75% 2,053,927$28,754,975$19150100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
84,455,556$ 85,872,223$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
27,540,444$ 83,758,056$ 25,759,429$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
55,456,023$ 135 456,406$ 61,614,810$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
62,472,430$ 83,758,056$ 53,218,998$ 48,470,591$
Depth Chart Rising Star Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Evander KaneOV: 0Age: 29BluesCAN
Matthew TkachukOV: 0Age: 23BluesUSA
Alexander RadulovOV: 0Age: 34BluesRUS
Jimmy VeseyOV: 0Age: 27BluesUSA
Par LindholmOV: 0Age: 29BluesSWE
Sam GagnerOV: 0Age: 31BluesCAN
Tyler SeguinOV: 0Age: 28BluesCAN
Brayden PointOV: 0Age: 24BluesCAN
Eric StaalOV: 0Age: 36BluesCAN
Par LindholmOV: 0Age: 29BluesSWE
Nic PetanOV: 0Age: 25BluesCAN
Sam GagnerOV: 0Age: 31BluesCAN
Vladislav KamenevOV: 0Age: 24BluesRUS
Tyler SeguinOV: 0Age: 28BluesCAN
Matthew TkachukOV: 0Age: 23BluesUSA
Alexander RadulovOV: 0Age: 34BluesRUS
Brock BoeserOV: 0Age: 23BluesUSA
Patric HornqvistOV: 0Age: 34BluesSWE
Brett ConnollyOV: 0Age: 28BluesCAN
Connor BrownOV: 0Age: 27BluesCAN
Sam GagnerOV: 0Age: 31BluesCAN

Defense #1Defense #2Goalie
Hampus LindholmOV: 0Age: 26BluesSWE
Jonas BrodinOV: 0Age: 27BluesSWE
Josh MansonOV: 0Age: 29BluesUSA
Travis SanheimOV: 0Age: 24BluesCAN
Vince DunnOV: 0Age: 24BluesCAN
Haydn FleuryOV: 0Age: 24BluesCAN
Rasmus SandinOV: 0Age: 20BluesSWE
Elvis MerzlikinsOV: 0Age: 26BluesLVA
Malcolm SubbanOV: 0Age: 27BluesCAN

Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5
2021
2022
2023
2024
2025

** Conditional Draft Pick That Have Been Traded
Prospects
Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
Prospect Team NameDraft Year Overall Pick Information Lien
.Alex VlasicBluesBlues
Anttoni HonkaBluesBlues
Artyom GalimovBluesBlues
Connor DewarBluesBlues
Jamieson ReesBluesBlues
Maxim GroshevBluesBlues
Shakir MukhamadullinBluesBlues
Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5
2021
2022
2023
2024
2025

** Conditional Draft Pick That Have Been Traded
Prospects
Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
Prospect Team NameDraft Year Overall Pick Information Lien
.Alex VlasicBluesBlues
Anttoni HonkaBluesBlues
Artyom GalimovBluesBlues
Connor DewarBluesBlues
Jamieson ReesBluesBlues
Maxim GroshevBluesBlues
Shakir MukhamadullinBluesBlues
News



























Injuries
No Injury or Suspension.

Game Center

Team Leaders

GOALS
Brayden Point
14
ASSISTS
Brayden Point
19
POINTS
Brayden Point
33
PLUS/MINUS
Brayden Point
7
WINS
Malcolm Subban
10
SV%
Elvis Merzlikins
0.902

Team Stats


Goals For
91
3.37 GFG
Shots For
858
31.78 Avg
Power Play Percentage
18.2%
12 GF
Offensive Zone Start
50.9%
Goals Against
88
3.26 GAA
Shots Against
868
32.15 Avg
Penalty Kill Percentage
72.6%
20 GA
Defensive Zone Start
49.1%
 

Team Info

Blues
General ManagerDaniel Dechesne
Head CoachGerard Gallant
ConferenceWestern Conference
DivisionCentral

Blues Affiliation

Blues
Team NameRampage
CitySan Antonio
Head CoachSheldon Keefe
DivisionCentrale

Arena Info

StadiumEnterprise Center
Capacity19,150
Attendance14,314
Season Tickets13,405

Salary Cap

Total Cap Hit83,758,056$
Cap Hit Percentage95.18%
Projected Cap Space4,241,944$
Retains & Buyout0$

Finance

Team Revenue28,754,975$
Estimated Revenue86,478,998$
Estimated Expenses89,155,254$
Operating Income-2,676,256$
Bank Account53,218,998$

Tickets

Section 100160$ | 70.17%
Section 200115$ | 76.93%
Section 30080$ | 70.15%
Section 40050$ | 81.60%
Suites220$ | 77.33%

Team History

Playoff Appearances2
Playoff Record (W-L)15-13
Stanley Cup0

Entry Draft