Last update: 2023-12-07 20:04:25


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BluesSt.Louis Blues
14-13-5, 33pts · 7th in Western Conference
Roster
Player Position CD CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO OV Age Contract
Aleksander Barkov (C)C100.007340908783858685879079777375780852810,000,000$/8yrs
Sebastian AhoC/LW100.00744078846782917881818372687065081268,454,000$/10yrs
Clayton KellerLW/RW100.00644082857185898061858169656864080257,150,000$/6yrs
Evgeny Kuznetsov (A)C100.00644076818081907473857063807560077317,800,000$/4yrs
Nikolaj EhlersLW/RW100.00695890836375797553827364547059076276,000,000$/3yrs
Zach PariseLW100.0074408567787392655972707359937907439750,000$/1yrs
Derek GrantC/LW100.00684782618071806380746475546759071331,500,000$/1yrs
Sam GagnerC/RW100.0067588760826582626170657058866607034750,000$/1yrs
Philipp KurashevC/LW/RW100.0067408971747486636773646582595807024750,000$/3yrs
Colin BlackwellC/RW100.00724092667963796166716173545958069301,200,000$/2yrs
Cole SmithLW/RW100.0075707662726672605369607354595806828750,000$/2yrs
Devin ShoreLW/RW100.0068418965815773587270596772675906729850,000$/2yrs
Hampus Lindholm (A)D100.00724074908291866940806389547560080296,500,000$/8yrs
Seth JonesD100.00704084848196916840796484547767079299,500,000$/8yrs
John KlingbergD100.00674080897086886840796472547369076317,000,000$/1yrs
Mikey AndersonD100.00844085717786885940726088545958075241,000,000$/9yrs
Ben HuttonD100.0065508871787374594071618054695907130850,000$/1yrs
Nick BlankenburgD100.0066407865717961604073627954555807125825,000$/2yrs
Scratches
Gavin BayreutherD100.0066668472757069604073587954585807029750,000$/2yrs
TEAM AVERAGE100.00704684747677826758766674616963074
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO OV AGE CONTRACT
Jacob Markstrom0100.0086969594797486658880887562083336,000,000$/4yrs
Laurent Brossoit099.0071636378797374667260746558071302,325,000$/1yrs
Scratches
TEAM AVERAGE99.5079807986797480668070817060077
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Barry Trotz86928393878159CAN5911,000,000$
General Manager
Daniel Schinck
Player Stats
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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.
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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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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 PPG PPA PPP PKG PKA PKP PKM GW GT FO% EG HT P/GP PSG PSS GSAVG
1Aleksander BarkovBluesBlues0C32121830114025105247011.43%320.41134101861155.09%110.94031.06
2Clayton KellerBluesBlues0LW/RW329132211201681175911.11%518.43134000442140.24%000.69110.82
3John KlingbergBluesBlues0D3221618510034459154.44%3022.9112300076000.00%000.56000.53
4Sebastian AhoBluesBlues0C/LW321071711205290245311.11%220.27011000862058.70%000.53030.77
5Mikey AndersonBluesBlues0D326101671604924141725.00%3219.2531400059100.00%000.50000.48
6Seth JonesBluesBlues0D3241115-11604938182610.53%3626.3701100064000.00%000.47000.39
7Hampus LindholmBluesBlues0D32411151260624711238.51%3522.9012301149100.00%100.47000.38
8Evgeny KuznetsovBluesBlues0C323912-540436919444.35%317.4411200073047.87%000.38230.38
9Ben HuttonBluesBlues0D32178-314021127158.33%2515.2200000023010.00%000.25000.14
10Nikolaj EhlersBluesBlues0LW/RW32538-21810387727466.49%418.57000000360038.89%000.25000.30
11Nick BlankenburgBluesBlues0D32088-414038242130.00%2314.310000003000.00%000.25000.16
12Philipp KurashevBluesBlues0C/LW/RW31448-280263972310.26%313.0801100000031.25%000.26000.24
13Sam GagnerBluesBlues0C/RW32437-4275213391112.12%114.5900000001043.29%000.22000.02
14Zach PariseBluesBlues0LW32336-480485124505.88%015.21000000141165.52%000.19000.24
15Devin ShoreBluesBlues0LW/RW32325-480273511238.57%414.7400000000150.00%000.16000.15
16Derek GrantBluesBlues0C/LW32033-310015185200.00%16.9200000010054.59%000.09000.04
17Colin BlackwellBluesBlues0C/RW32112-320816596.25%36.8300000001026.67%000.06000.05
18Cole SmithBluesBlues0LW/RW32202-3100251331015.38%16.8300000000146.67%000.06000.02
Team Total or Average575731292028199155978172365278.94%21116.358152375011255313649.65%255200210.43310
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
1Jacob MarkstromBluesBlues28121330.8982.54165420706830000.4005284211
2Laurent BrossoitBluesBlues52020.9222.0429400101290000.7504428000
Team Total or Average33141350.9012.46194820808120000.55693232211
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
1BluesRed Wings1100000042221.00048120012103310131002311425300.00%2150.00%0507103149.18%52399652.51%24048649.38%221424712680.0%12.1%91.3%103.4LUCKY
2BluesSenators1100000052321.0005712003020291112602574206116.67%20100.00%0507103149.18%52399652.51%24048649.38%231623713666.7%17.2%92.0%109.2LUCKY
3BluesBlue Jackets1010000025-300.0002460002002269703214614200.00%3166.67%0507103149.18%52399652.51%24048649.38%211525713533.3%9.1%84.4%93.5FUN
4BluesSabres1000001043121.0004610001202186101530116203133.33%20100.00%0507103149.18%52399652.51%24048649.38%211429714650.0%22.2%90.0%112.2FUN
5BluesIslanders2100000153230.750591400221155251811453101236600.00%60100.00%0507103149.18%52399652.51%24048649.38%49344814261362.5%9.1%94.3%103.4LUCKY
6BluesCanadiens2010100068-220.50069150022115213277551118456116.67%4175.00%0507103149.18%52399652.51%24048649.38%46324916261241.7%11.5%84.3%95.9FUN
7BluesJets2110000054120.500581300122037916120481818337114.29%8275.00%0507103149.18%52399652.51%24048649.38%47314615251266.7%13.5%91.7%105.2LUCKY
8BluesBlackhawks3110010048-430.500471100202088294217081191851800.00%8187.50%0507103149.18%52399652.51%24048649.38%71487422381936.4%4.5%90.1%94.7Unlucky
9BluesWild1010000001-100.000000000000237790188415500.00%20100.00%0507103149.18%52399652.51%24048649.38%24162271360.0%0.0%94.4%94.4DULL
10BluesCanucks3110010078-130.5007121900115082272526475172655500.00%12375.00%1507103149.18%52399652.51%24048649.38%72487122391958.3%8.5%89.3%97.9Unlucky
11BluesAvalanche1010000045-100.0004711002200251013202460223266.67%000.00%0507103149.18%52399652.51%24048649.38%231621714728.6%16.0%79.2%95.2FUN
12BluesStars3210000074340.66771421003310773023240611434471200.00%8187.50%0507103149.18%52399652.51%24048649.38%80575921402070.0%9.1%93.4%102.5LUCKY
13BluesDucks2100010044030.7504812004000531917134507035500.00%000.00%0507103149.18%52399652.51%24048649.38%51344514281450.0%7.5%92.0%99.5DULL
14BluesMaple Leafs1010000004-400.00000000000024511802741221300.00%6350.00%0507103149.18%52399652.51%24048649.38%24162171360.0%0.0%85.2%85.2Unlucky
15BluesHurricanes1100000021121.00024600110022910303411626200.00%3166.67%0507103149.18%52399652.51%24048649.38%2316237136100.0%9.1%97.1%106.1LUCKY
16BluesPredators421000011110150.62511213200443012344453431021818709222.22%7271.43%0507103149.18%52399652.51%24048649.38%98679229542752.9%8.9%90.2%99.1Unlucky
17BluesGolden Knights1010000013-200.0001230000102696110247420100.00%20100.00%0507103149.18%52399652.51%24048649.38%201325613725.0%3.8%87.5%91.3Unlucky
18BluesKraken2020000027-500.0002240011003917157054171748100.00%5180.00%0507103149.18%52399652.51%24048649.38%43294914261225.0%5.1%87.0%92.2Unlucky
_Vs Division1466001013132-1140.50031578800121180373129146983334839223844511.36%33681.82%0507103149.18%52399652.51%24048649.38%3462373171041869450.0%8.3%90.4%98.7Unlucky
_Vs Conference22810003014554-9200.4554581126001813140573201209155115371311393965658.93%521080.77%1507103149.18%52399652.51%24048649.38%53436550816329414747.6%7.9%89.9%97.8Unlucky
_Since Last GM Reset321213013127382-9330.51673128201002824194828286319208258122101976038789.20%801778.75%1507103149.18%52399652.51%24048649.38%76852675423942721250.0%8.8%89.9%98.7Unlucky
Total321213013127382-9330.51673128201002824194828286319208258122101976038789.20%801778.75%1507103149.18%52399652.51%24048649.38%76852675423942721250.0%8.8%89.9%98.7Unlucky

Puck Time
Offensive Zone 24
Neutral Zone 13
Defensive Zone 23
Puck Time
Offensive Zone Start 1031
Neutral Zone Start 486
Defensive Zone Start 996
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 1270
Faceoffs Lost 1243
Team Average Shots after League Average Shots after
1st Period 8.99.57
2nd Period 18.920.31
3rd Period 25.430.68
Overtime 26.231.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.90.64
2nd Period 1.61.65
3rd Period 2.22.67
Overtime 2.32.83
Even Strenght Goal 64
PP Goal 8
PK Goal 1
Empty Net Goal 0
Home Away
Win 77
Lost 67
Overtime Lost 23
PP Attempt 87
PP Goal 8
PK Attempt 80
PK Goal Against 17
Home
Shots For 25.9
Shots Against 25.4
Goals For 2.3
Goals Against 2.6
Hits 18.8
Shots Blocked 6.6
Pim 6.2
Cap Hit
Blues
Projected Total Cap Hit80,704,000$
Projected Cap Space7,296,000$
Retains And Buyout Cap Hit0$
Salary Cap To Date29,262,142$
Players In Salary Cap21
Contracts56/50
LTIR Players0
Blues Roster Pos Age Cap Hit 2023-24 2024-25 2025-26 2026-27 2027-28 2028-29 2029-30 2030-31
Aleksander Barkov C2810,000,000$10,000,000$ 10,000,000$ 10,000,000$ 10,000,000$ 10,000,000$ 10,000,000$ 10,000,000$ 10,000,000$
Ben Hutton D30850,000$850,000$ UFA
Clayton Keller LW/RW257,150,000$7,150,000$ 7,150,000$ 7,150,000$ 7,150,000$ 7,150,000$ 7,150,000$ UFA
Cole Smith LW/RW28750,000$750,000$ 775,000$ UFA
Colin Blackwell C/RW301,200,000$1,200,000$ 1,200,000$ UFA
Derek Grant C/LW331,500,000$1,500,000$ UFA
Devin Shore LW/RW29850,000$850,000$ 775,000$ UFA
Evgeny Kuznetsov C317,800,000$7,800,000$ 7,800,000$ 7,800,000$ 7,800,000$ UFA
Gavin Bayreuther D29750,000$750,000$ 750,000$ UFA
Hampus Lindholm D296,500,000$6,500,000$ 6,500,000$ 6,500,000$ 6,500,000$ 6,500,000$ 6,500,000$ 6,500,000$ 6,500,000$
Jacob Markstrom G336,000,000$6,000,000$ 6,000,000$ 6,000,000$ 6,000,000$ UFA
John Klingberg D317,000,000$7,000,000$ UFA
Laurent Brossoit G302,325,000$2,325,000$ UFA
Mikey Anderson D241,000,000$1,000,000$ 4,125,000$ 4,125,000$ 4,125,000$ 4,125,000$ 4,125,000$ 4,125,000$ 4,125,000$
Nick Blankenburg D25825,000$825,000$ 825,000$ RFA
Nikolaj Ehlers LW/RW276,000,000$6,000,000$ 6,000,000$ 6,000,000$ UFA
Philipp Kurashev C/LW/RW24750,000$750,000$ 2,250,000$ 2,250,000$ RFA
Sam Gagner C/RW34750,000$750,000$ UFA
Sebastian Aho C/LW268,454,000$8,454,000$ 8,454,000$ 9,750,000$ 9,750,000$ 9,750,000$ 9,750,000$ 9,750,000$ 9,750,000$
Seth Jones D299,500,000$9,500,000$ 9,500,000$ 9,500,000$ 9,500,000$ 9,500,000$ 9,500,000$ 9,500,000$ 9,500,000$
Zach Parise LW39750,000$750,000$ UFA
Non-Roster Pos Age Cap Hit 2023-24 2024-25 2025-26 2026-27 2027-28 2028-29 2029-30 2030-31
Adam Edstrom C23846,667$846,667$ 846,667$ 846,667$ RFA
Adam Helewka C28750,000$750,000$ RFA
Adam Huska G26750,000$750,000$ RFA
Andre Lee C/LW23883,750$883,750$ 883,750$ RFA
Andreas Wingerli C26750,000$750,000$ RFA
Austin Poganski RW27750,000$750,000$ RFA
Ben Jones C24750,000$750,000$ 775,000$ RFA
Cameron Hebig RW26750,000$750,000$ RFA
Colten Ellis G23850,833$850,833$ 850,833$ RFA
Danny Dekeyser D33750,000$750,000$ UFA
Drake Rymsha C25750,000$750,000$ RFA
Dysin Mayo D27950,000$950,000$ 950,000$ RFA
Ethan Prow D31750,000$750,000$ UFA
Jacob Lucchini C28750,000$750,000$ UFA
Jean-Luc Foudy C21847,500$847,500$ 847,500$ 847,500$ RFA
Jeremy Davies D27750,000$750,000$ 775,000$ RFA
Jesper Sellgren D25750,000$750,000$ RFA
Joachim Blichfeld C25750,000$750,000$ RFA
Justin Bailey RW28750,000$750,000$ UFA
Kyle Keyser G24750,000$750,000$ 775,000$ RFA
Lean Bergmann C25750,000$750,000$ RFA
Liam Kirk C/LW23813,333$813,333$ 813,333$ RFA
Lukas Svejkovsky RW22859,167$859,167$ 859,167$ 859,167$ RFA
Marco Kasper C19950,000$950,000$ 950,000$ 950,000$ RFA
Marcus Kallionkieli C22784,722$784,722$ 784,722$ RFA
Markus Nutivaara D291,500,000$1,500,000$ UFA
Mathias Emilio Pettersen C/LW23903,333$903,333$ 775,000$ RFA
Max Willman C/LW28750,000$750,000$ 775,000$ UFA
Nathan Walker LW29750,000$750,000$ UFA
Otto Somppi C25750,000$750,000$ RFA
Patrick Harper C25750,000$750,000$ RFA
Patrick Khodorenko C25925,000$925,000$ RFA
Samuel Ersson G24859,167$859,167$ 859,167$ 1,450,000$ 1,450,000$ RFA
Santeri Hatakka D22850,833$850,833$ 850,833$ RFA
Simon Ryfors C/LW/RW26750,000$750,000$ RFA
Trey Fix-Wolansky RW24750,000$750,000$ 775,000$ 775,000$ RFA
Ty Lewis C/LW25750,000$750,000$ RFA

Lines
Forward Lines


Sebastian Aho


Aleksander Barkov


Clayton Keller


Nikolaj Ehlers


Evgeny Kuznetsov


Philipp Kurashev


Devin Shore


Sam Gagner


Zach Parise


Cole Smith


Derek Grant


Colin Blackwell

Defensive Pairings


Seth Jones


Hampus Lindholm


Mikey Anderson


John Klingberg


Ben Hutton


Nick Blankenburg

1st Power Play Unit


Sebastian Aho


Aleksander Barkov


Nikolaj Ehlers


Seth Jones


John Klingberg

2nd Power Play Unit


Philipp Kurashev


Evgeny Kuznetsov


Clayton Keller


Hampus Lindholm


Mikey Anderson

Goalies


Jacob Markstrom


Laurent Brossoit

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
1BluesRed Wings1100000042221.00048120012103310131002311425300.00%2150.00%0507103149.18%52399652.51%24048649.38%221424712680.0%12.1%91.3%103.4LUCKY
2BluesSenators1100000052321.0005712003020291112602574206116.67%20100.00%0507103149.18%52399652.51%24048649.38%231623713666.7%17.2%92.0%109.2LUCKY
3BluesBlue Jackets1010000025-300.0002460002002269703214614200.00%3166.67%0507103149.18%52399652.51%24048649.38%211525713533.3%9.1%84.4%93.5FUN
4BluesSabres1000001043121.0004610001202186101530116203133.33%20100.00%0507103149.18%52399652.51%24048649.38%211429714650.0%22.2%90.0%112.2FUN
5BluesIslanders2100000153230.750591400221155251811453101236600.00%60100.00%0507103149.18%52399652.51%24048649.38%49344814261362.5%9.1%94.3%103.4LUCKY
6BluesCanadiens2010100068-220.50069150022115213277551118456116.67%4175.00%0507103149.18%52399652.51%24048649.38%46324916261241.7%11.5%84.3%95.9FUN
7BluesJets2110000054120.500581300122037916120481818337114.29%8275.00%0507103149.18%52399652.51%24048649.38%47314615251266.7%13.5%91.7%105.2LUCKY
8BluesBlackhawks3110010048-430.500471100202088294217081191851800.00%8187.50%0507103149.18%52399652.51%24048649.38%71487422381936.4%4.5%90.1%94.7Unlucky
9BluesWild1010000001-100.000000000000237790188415500.00%20100.00%0507103149.18%52399652.51%24048649.38%24162271360.0%0.0%94.4%94.4DULL
10BluesCanucks3110010078-130.5007121900115082272526475172655500.00%12375.00%1507103149.18%52399652.51%24048649.38%72487122391958.3%8.5%89.3%97.9Unlucky
11BluesAvalanche1010000045-100.0004711002200251013202460223266.67%000.00%0507103149.18%52399652.51%24048649.38%231621714728.6%16.0%79.2%95.2FUN
12BluesStars3210000074340.66771421003310773023240611434471200.00%8187.50%0507103149.18%52399652.51%24048649.38%80575921402070.0%9.1%93.4%102.5LUCKY
13BluesDucks2100010044030.7504812004000531917134507035500.00%000.00%0507103149.18%52399652.51%24048649.38%51344514281450.0%7.5%92.0%99.5DULL
14BluesMaple Leafs1010000004-400.00000000000024511802741221300.00%6350.00%0507103149.18%52399652.51%24048649.38%24162171360.0%0.0%85.2%85.2Unlucky
15BluesHurricanes1100000021121.00024600110022910303411626200.00%3166.67%0507103149.18%52399652.51%24048649.38%2316237136100.0%9.1%97.1%106.1LUCKY
16BluesPredators421000011110150.62511213200443012344453431021818709222.22%7271.43%0507103149.18%52399652.51%24048649.38%98679229542752.9%8.9%90.2%99.1Unlucky
17BluesGolden Knights1010000013-200.0001230000102696110247420100.00%20100.00%0507103149.18%52399652.51%24048649.38%201325613725.0%3.8%87.5%91.3Unlucky
18BluesKraken2020000027-500.0002240011003917157054171748100.00%5180.00%0507103149.18%52399652.51%24048649.38%43294914261225.0%5.1%87.0%92.2Unlucky
_Vs Division1466001013132-1140.50031578800121180373129146983334839223844511.36%33681.82%0507103149.18%52399652.51%24048649.38%3462373171041869450.0%8.3%90.4%98.7Unlucky
_Vs Conference22810003014554-9200.4554581126001813140573201209155115371311393965658.93%521080.77%1507103149.18%52399652.51%24048649.38%53436550816329414747.6%7.9%89.9%97.8Unlucky
_Since Last GM Reset321213013127382-9330.51673128201002824194828286319208258122101976038789.20%801778.75%1507103149.18%52399652.51%24048649.38%76852675423942721250.0%8.8%89.9%98.7Unlucky
Total321213013127382-9330.51673128201002824194828286319208258122101976038789.20%801778.75%1507103149.18%52399652.51%24048649.38%76852675423942721250.0%8.8%89.9%98.7Unlucky

Puck Time
Offensive Zone 24
Neutral Zone 13
Defensive Zone 23
Puck Time
Offensive Zone Start 1031
Neutral Zone Start 486
Defensive Zone Start 996
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 1270
Faceoffs Lost 1243
Team Average Shots after League Average Shots after
1st Period 8.99.57
2nd Period 18.920.31
3rd Period 25.430.68
Overtime 26.231.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.90.64
2nd Period 1.61.65
3rd Period 2.22.67
Overtime 2.32.83
Even Strenght Goal 64
PP Goal 8
PK Goal 1
Empty Net Goal 0
Home Away
Win 77
Lost 67
Overtime Lost 23
PP Attempt 87
PP Goal 8
PK Attempt 80
PK Goal Against 17
Home
Shots For 25.9
Shots Against 25.4
Goals For 2.3
Goals Against 2.6
Hits 18.8
Shots Blocked 6.6
Pim 6.2
Schedule
DateMatchup Result Detail
Sun, Oct 8BluesNAS@BluesSTLNAS2,STL4RECAP
Tue, Oct 10BluesSTL@BluesNASSTL1,NAS3RECAP
Wed, Oct 11BluesSTL@BluesDALSTL1,DAL2RECAP
Fri, Oct 13BluesCOL@BluesSTLCOL5,STL4RECAP
Sun, Oct 15BluesWPG@BluesSTLWPG2,STL1RECAP
Tue, Oct 17BluesSTL@BluesCHISTL2,CHI1RECAP
Thu, Oct 19BluesSTL@BluesSEASTL1,SEA4RECAP
Sat, Oct 21BluesSEA@BluesSTLSEA3,STL1RECAP
Mon, Oct 23BluesSTL@BluesWPGSTL4,WPG2RECAP
Wed, Oct 25BluesVAN@BluesSTLVAN2,STL4RECAP
Sat, Oct 28BluesSTL@BluesDALSTL3,DAL1RECAP
Mon, Oct 30BluesDAL@BluesSTLDAL1,STL3RECAP
Wed, Nov 1BluesMTL@BluesSTLMTL2,STL3 (OT)RECAP
Fri, Nov 3BluesSTL@BluesMINSTL0,MIN1RECAP
Sun, Nov 5BluesSTL@BluesVGKSTL1,VGK3RECAP
Mon, Nov 6BluesCHI@BluesSTLCHI5,STL1RECAP
Wed, Nov 8BluesSTL@BluesNASSTL3,NAS4 (SO)RECAP
Sat, Nov 11BluesSTL@BluesOTTSTL5,OTT2RECAP
Sun, Nov 12BluesCAR@BluesSTLCAR1,STL2RECAP
Tue, Nov 14BluesVAN@BluesSTLVAN4,STL3 (OT)RECAP
Thu, Nov 16BluesSTL@BluesNYISTL4,NYI1RECAP
Sat, Nov 18BluesSTL@BluesCHISTL1,CHI2 (OT)RECAP
Mon, Nov 20BluesANA@BluesSTLANA2,STL3RECAP
Wed, Nov 22BluesSTL@BluesDETSTL4,DET2RECAP
Fri, Nov 24BluesSTL@BluesBUFSTL4,BUF3 (SO)RECAP
Sat, Nov 25BluesCLB@BluesSTLCLB5,STL2RECAP
Tue, Nov 28BluesNYI@BluesSTLNYI2,STL1 (SO)RECAP
Thu, Nov 30BluesSTL@BluesVANSTL0,VAN2RECAP
Sat, Dec 2BluesSTL@BluesMTLSTL3,MTL6RECAP
Mon, Dec 4BluesTOR@BluesSTLTOR4,STL0RECAP
Wed, Dec 6BluesSTL@BluesANASTL1,ANA2 (OT)RECAP
Thu, Dec 7BluesNAS@BluesSTLNAS1,STL3RECAP
Sun, Dec 10BluesSTL@BluesPIT
Tue, Dec 12BluesDET@BluesSTL
Thu, Dec 14BluesSTL@BluesEDM
Sat, Dec 16BluesSTL@BluesWPG
Sun, Dec 17BluesEDM@BluesSTL
Thu, Dec 21BluesBUF@BluesSTL
Sat, Dec 23BluesSTL@BluesSJS
Mon, Dec 25BluesMIN@BluesSTL
Wed, Dec 27BluesSTL@BluesVGK
Fri, Dec 29BluesPHI@BluesSTL
Sun, Dec 31BluesSTL@BluesWSH
Wed, Jan 3BluesCOL@BluesSTL
Fri, Jan 5BluesSTL@BluesCOL
Sun, Jan 7BluesWSH@BluesSTL
Tue, Jan 9BluesSTL@BluesCOL
Thu, Jan 11BluesEDM@BluesSTL
Sat, Jan 13BluesSTL@BluesMIN
Mon, Jan 15BluesCHI@BluesSTL
Wed, Jan 17BluesSTL@BluesTOR
Fri, Jan 19BluesSTL@BluesDAL
Sat, Jan 20BluesTBL@BluesSTL
Tue, Jan 23BluesVGK@BluesSTL
Thu, Jan 25BluesSTL@BluesLAK
Sat, Jan 27BluesSTL@BluesNAS
Sun, Jan 28BluesPIT@BluesSTL
Wed, Jan 31BluesLAK@BluesSTL
Sun, Feb 4BluesSJS@BluesSTL
Tue, Feb 6BluesSTL@BluesNYR
Thu, Feb 8BluesSTL@BluesBOS
Fri, Feb 9BluesVGK@BluesSTL
Mon, Feb 12BluesSTL@BluesBOS
Wed, Feb 14BluesSEA@BluesSTL
Sat, Feb 17BluesCGY@BluesSTL
Sun, Feb 18BluesSTL@BluesPHI
Wed, Feb 21BluesSTL@BluesTBL
Thu, Feb 22BluesNYR@BluesSTL
Mon, Feb 26BluesBOS@BluesSTL
Wed, Feb 28BluesSTL@BluesCAR
Thu, Feb 29BluesSTL@BluesFLA
Fri, Mar 1BluesFLA@BluesSTL
Tue, Mar 5BluesSTL@BluesFLA
Wed, Mar 6BluesMTL@BluesSTL
Mon, Mar 11BluesNAS@BluesSTL
Thu, Mar 14BluesWPG@BluesSTL
Sat, Mar 16BluesSTL@BluesCGY
Wed, Mar 20BluesOTT@BluesSTL
Fri, Mar 22BluesSTL@BluesSEA
Sun, Mar 24BluesMIN@BluesSTL
Mon, Mar 25BluesSTL@BluesCLB
Thu, Mar 28BluesDAL@BluesSTL

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
80,704,000$ 0$ 80,704,000$ 7,296,000$

ArenaGoal HornAbout us
NameScottrade Center
CitySt.Louis
Capacity18000
Season Ticket Holders40%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000200040001000
Ticket Price100$60$35$25$200$
Attendance8388171067285265590614125
Attendance PCT93.20%94.76%95.09%93.18%94.17%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
26 16900 - 93.89% 1,775,403$26,631,038$18000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
80,704,000$ 80,704,000$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
29,612,442$ 80,704,000$ 29,262,142$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
46,160,466$ 115 461,605$ 53,084,575$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
55,688,290$ 80,704,000$ 24,060,692$ 16,627,584$
Depth Chart Rising Star Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Sebastian AhoAGE:26BluesFIN
Clayton KellerAGE:25BluesUSA
Nikolaj EhlersAGE:27BluesDNK
Derek GrantAGE:33BluesCAN
Mathias Emilio PettersenAGE:23BluesNOR
Andre LeeAGE:23BluesSWE
Devin ShoreAGE:29BluesCAN
Liam KirkAGE:23BluesGBR
Zach PariseAGE:39BluesUSA
Philipp KurashevAGE:24BluesCHE
Cole SmithAGE:28BluesUSA
Nathan WalkerAGE:29BluesGBR
Max WillmanAGE:28BluesUSA
Simon RyforsAGE:26BluesSWE
Ty LewisAGE:25BluesCAN
Aleksander BarkovAGE:28BluesFIN
Sebastian AhoAGE:26BluesFIN
Evgeny KuznetsovAGE:31BluesRUS
Derek GrantAGE:33BluesCAN
Colin BlackwellAGE:30BluesUSA
Marco KasperAGE:19BluesAUT
Patrick KhodorenkoAGE:25BluesUSA
Mathias Emilio PettersenAGE:23BluesNOR
Andre LeeAGE:23BluesSWE
Jean-Luc FoudyAGE:21BluesCAN
Adam EdstromAGE:23BluesSWE
Liam KirkAGE:23BluesGBR
Marcus KallionkieliAGE:22BluesFIN
Sam GagnerAGE:34BluesCAN
Philipp KurashevAGE:24BluesCHE
Joachim BlichfeldAGE:25BluesDEN
Ben JonesAGE:24BluesCAN
Max WillmanAGE:28BluesUSA
Simon RyforsAGE:26BluesSWE
Jacob LucchiniAGE:28BluesCAN
Lean BergmannAGE:25BluesDEU
Adam HelewkaAGE:28BluesCAN
Andreas WingerliAGE:26BluesSWE
Drake RymshaAGE:25BluesUSA
Otto SomppiAGE:25BluesFIN
Patrick HarperAGE:25BluesUSA
Ty LewisAGE:25BluesCAN
Clayton KellerAGE:25BluesUSA
Nikolaj EhlersAGE:27BluesDNK
Colin BlackwellAGE:30BluesUSA
Lukas SvejkovskyAGE:22BluesUSA
Devin ShoreAGE:29BluesCAN
Sam GagnerAGE:34BluesCAN
Philipp KurashevAGE:24BluesCHE
Cole SmithAGE:28BluesUSA
Cameron HebigAGE:26BluesCAN
Austin PoganskiAGE:27BluesUSA
Simon RyforsAGE:26BluesSWE
Trey Fix-WolanskyAGE:24BluesCAN
Justin BaileyAGE:28BluesUSA

Defense #1Defense #2Goalie
Seth JonesAGE:29BluesUSA
John KlingbergAGE:31BluesSWE
Hampus LindholmAGE:29BluesSWE
Markus NutivaaraAGE:29BluesFIN
Mikey AndersonAGE:24BluesUSA
Dysin MayoAGE:27BluesCAN
Santeri HatakkaAGE:22BluesFIN
Ben HuttonAGE:30BluesCAN
Nick BlankenburgAGE:25BluesUSA
Gavin BayreutherAGE:29BluesUSA
Ethan ProwAGE:31BluesUSA
Danny DekeyserAGE:33BluesUSA
Jeremy DaviesAGE:27BluesCAN
Jesper SellgrenAGE:25BluesSWE
Jacob MarkstromAGE:33BluesSWE
Laurent BrossoitAGE:30BluesCAN
Samuel ErssonAGE:24BluesSWE
Colten EllisAGE:23BluesCAN
Kyle KeyserAGE:24BluesUSA
Adam HuskaAGE:26BluesSVK

Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6
2024
2025
2026
2027
2028

** 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
Arno TiefenseeBluesBlues2023
Calum RitchieBluesBlues2023
Cameron LundBluesBlues2022
Drew FortescueBluesBlues2023
Frederik DichowBluesBlues2019
Gustav BerglundBluesBlues2019
Hugo GabrielsonBluesBlues2021
Josh PillarBluesBlues2021
Kaden HammellBluesBlues2023
Kasper KulonummiBluesBlues2022
Kirill MaksimovBluesBlues2017
Martin MisiakBluesBlues2023
Mason LangenbrunnerBluesBlues2020
Matias MantykiviBluesBlues2019
Maxim StrbakBluesBlues2023
Viktor PerssonBluesBlues2020
Viljami MarjalaBluesBlues2021
Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6
2024
2025
2026
2027
2028

** 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
Arno TiefenseeBluesBlues2023
Calum RitchieBluesBlues2023
Cameron LundBluesBlues2022
Drew FortescueBluesBlues2023
Frederik DichowBluesBlues2019
Gustav BerglundBluesBlues2019
Hugo GabrielsonBluesBlues2021
Josh PillarBluesBlues2021
Kaden HammellBluesBlues2023
Kasper KulonummiBluesBlues2022
Kirill MaksimovBluesBlues2017
Martin MisiakBluesBlues2023
Mason LangenbrunnerBluesBlues2020
Matias MantykiviBluesBlues2019
Maxim StrbakBluesBlues2023
Viktor PerssonBluesBlues2020
Viljami MarjalaBluesBlues2021
News



































































































































































































































Injuries
No Injury or Suspension.

Game Center

Blues14-13-5, 33pts12Final
Ducks20-8-2, 42pts

Predators18-11-2, 38pts13Final
Blues14-13-5, 33pts

Blues14-13-5, 33ptsSun, Dec 10PPG Paints Arena
Penguins20-8-1, 41pts

Red Wings10-11-7, 27ptsTue, Dec 12Scottrade Center
Blues14-13-5, 33pts

Blues14-13-5, 33ptsThu, Dec 14Rogers Place
Oilers9-15-5, 23pts

Team Leaders

GOALS
Aleksander Barkov
12
ASSISTS
Aleksander Barkov
18
POINTS
Aleksander Barkov
30
PLUS/MINUS
Aleksander Barkov
11
WINS
Jacob Markstrom
12
SV%
Laurent Brossoit
0.922

Team Stats


Goals For
73
2.28 GFG
Shots For
828
25.88 Avg
Power Play Percentage
9.2%
8 GF
Offensive Zone Start
50.9%
Goals Against
82
2.56 GAA
Shots Against
812
25.38 Avg
Penalty Kill Percentage
78.8%
17 GA
Defensive Zone Start
49.1%

Injury status

Player POS Status Injury Out For Expected Return
Justin BaileyRWLong Term Injured ReserveLower Body Injury1 Week2023-12-13
 

St.Louis Blues Info

Blues
General ManagerDaniel Schinck
Head CoachBarry Trotz
ConferenceWestern Conference
DivisionCentrale

AHL Affiliation

Blues
Team NameThunderbirds
CitySpingfield
Head CoachJoe Sacco
DivisionCentrale

Team Jerseys

Blues Blues Blues
Home Away Alternate

Arena Info

StadiumScottrade Center
Capacity18,000
Attendance16,900
Season Tickets7,200

Roster Info

Active Roster21/23
Contract Limit56/50
Prospects & Player's Rights17
Reserve List75/90

Salary Cap

Total Cap Hit80,704,000$
Cap Hit Percentage91.71%
Projected Cap Space7,296,000$
Retains & Buyout0$

Finance

Team Revenue26,631,038$
Estimated Revenue74,886,220$
Estimated Expenses82,697,017$
Operating Income-7,810,797$
Bank Account24,060,692$

Tickets

Section 100100$ | 93.20%
Section 20060$ | 94.76%
Section 30035$ | 95.09%
Section 40025$ | 93.18%
Suites200$ | 94.17%

Team History

202314-13-5 (33PTS)
Record (W-L-OTL)157-100-32
Playoff Appearances2
Playoff Record (W-L)32-20
Stanley Cup2

Entry Draft