BluesSt.Louis Blues
27-23-6, 60pts · 9th 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
Brad Marchand (A)LW100.00766065886989958950838374869089181367,500,000$/2yrs
Tyler ToffoliLW/RW100.00734788817987929052798670868777180324,000,000$/2yrs
Brayden SchennC/LW100.00806970767987948673807973809089179325,775,000$/1yrs
Mats ZuccarelloLW/RW100.00684478796988928851867571808979178365,100,000$/2yrs
Kyle PalmieriLW/RW100.00724381797688938650778170828979178334,850,000$/1yrs
Dawson MercerC/RW100.0068528490778779846875797484595017622975,000$/1yrs
Marcus JohanssonLW/RW100.00694490748086938150777369768979175334,800,000$/3yrs
Mike HoffmanLW100.00684782757484917852757267758878174344,500,000$/3yrs
Pius SuterC/LW100.00714490847386808073747475806354174281,800,000$/2yrs
Derek StepanC/RW100.00724392757679927583676674728878173344,800,000$/1yrs
Josh NorrisC100.00674480788189767772707369766858172252,600,000$/3yrs
Arthur KaliyevLW/RW100.00684686748782787740717066746354171231,975,000$/4yrs
MacKenzie WeegarD100.00785670908194888940807893857969183305,975,000$/4yrs
Sean WalkerD100.00744572857687848040737187797363178294,200,000$/4yrs
Brandon MontourD100.00704767797891868840817676817969177303,500,000$/2yrs
Erik JohnsonD100.00765683728684927440656682719282176365,100,000$/2yrs
Brendan SmithD100.00756965747985907340686579718878175353,500,000$/2yrs
Zach BogosianD100.00735665728685917340686475709181174334,400,000$/3yrs
Scratches
Ben HuttonD100.00604779738184797240676472708272171313,200,000$/1yrs
TEAM AVERAGE100.00715078797886888152757375788173176
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO OV AGE CONTRACT
Darcy Kuemper0100.0075899089878582848485828780178344,500,000$/4yrs
Kaapo Kahkonen0100.0082878788908377798087816861176272,500,000$/2yrs
Scratches
TEAM AVERAGE100.0079888989898480828286827871177
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Rod Brind'Amour8292888582931CAN532500,000$
General Manager
Donald April
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 PPG PPA PPP PKG PKA PKP PKM GW GT FO% EG HT P/GP PSG PSS GSAVG
1Brad MarchandBluesBlues0LW563031611484201182748115910.95%2421.109514000913340.63%011.09381.10
2Tyler ToffoliBluesBlues0LW/RW562326491175511986010811.62%2018.35571200005241.38%000.88291.01
3Dawson MercerBluesBlues0C/RW561828461760661474310212.24%2317.35279000812047.12%010.82220.92
4MacKenzie WeegarBluesBlues0D568354311631511615569585.16%8027.95471101117410100.00%100.77110.72
5Brayden SchennBluesBlues0C/LW5663238879259912345884.88%3120.2311011000342052.69%000.68130.52
6Mats ZuccarelloBluesBlues0LW/RW5615173212421081114458013.16%1716.2335800041139.22%000.57000.58
7Kyle PalmieriBluesBlues0LW/RW5613142786063124508610.48%915.0933600002252.08%000.48180.60
8Pius SuterBluesBlues0C/LW5691322-3204411243848.04%2214.540001121890050.00%000.39000.46
9Mike HoffmanBluesBlues0LW5681220-760489127508.79%1412.68011000570120.00%000.36000.35
10Sean WalkerBluesBlues0D5641317145610996732335.97%8424.56101000171100.00%000.30000.32
11Brandon MontourBluesBlues0D5631417-65807710345412.91%5821.451450002100.00%000.30000.22
12Marcus JohanssonBluesBlues0LW/RW569514-4553662293514.52%1011.4700000001250.00%000.25000.26
13Josh NorrisBluesBlues0C567613-9403168214210.29%68.4710100063153.89%000.23000.22
14Brendan SmithBluesBlues0D56110110582052422492.38%4216.25000101120000.00%000.20000.05
15Erik JohnsonBluesBlues0D562911121545479194.26%7917.24000000121000.00%000.20000.21
16Zach BogosianBluesBlues0D56088-3401035321490.00%3813.7500000065000.00%000.14000.03
17Derek StepanBluesBlues0C/RW56538-700387025417.14%1211.950000001880050.00%100.14000.19
18Arthur KaliyevBluesBlues0LW/RW56628-9003952143411.54%127.9700000001027.27%000.14000.15
Team Total or Average1008167278445485371251138188167610788.88%58116.4830497915282241309231249.75%3544400381220.541031
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
1Darcy KuemperBluesBlues43201850.9102.852611021241384659100.609234313334
2Kaapo KahkonenBluesBlues137510.9272.507910033455205130.83361343202
Team Total or Average56272360.9152.773402021571839864230.655295656536
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
1BluesDucks1010000024-200.000246000200351118603112414100.00%2150.00%0711136851.97%659135648.60%39379249.62%201221817840.0%5.7%87.1%92.8Unlucky
2BluesJets2100000166030.750611170030306624212045719195110330.00%7271.43%0711136851.97%659135648.60%39379249.62%45264219371842.9%9.1%89.5%98.6FUN
3BluesBruins2100100097241.0009132200242168202620277291940400.00%7357.14%1711136851.97%659135648.60%39379249.62%43264617331669.2%13.2%90.9%104.1FUN
4BluesSabres2100001064241.00068140001436914282766415335010110.00%9188.89%0711136851.97%659135648.60%39379249.62%45264220371862.5%8.7%93.8%102.4DULL
5BluesFlames330000001731461.00017294601548012548354205912146412325.00%8275.00%0711136851.97%659135648.60%39379249.62%80514624532793.3%13.6%94.9%108.5LUCKY
6BluesHurricanes2020000047-300.000461000004063151830071181544800.00%5260.00%0711136851.97%659135648.60%39379249.62%43254316321644.4%6.3%90.1%96.5Unlucky
7BluesBlackhawks2110000075220.50071320001510712732120672010326233.33%5180.00%0711136851.97%659135648.60%39379249.62%41254518331655.6%9.9%92.5%102.4LUCKY
8BluesAvalanche1010000013-200.00011200100027119703991415400.00%70100.00%0711136851.97%659135648.60%39379249.62%211221916725.0%3.7%92.3%96.0DULL
9BluesBlue Jackets2110000054120.5005914001130722019330691516449222.22%8187.50%0711136851.97%659135648.60%39379249.62%42234418331750.0%6.9%94.2%101.1DULL
10BluesStars2110000055020.500510150013106127221206819843500.00%4175.00%0711136851.97%659135648.60%39379249.62%44264116341755.6%8.2%92.6%100.8DULL
11BluesRed Wings1010000025-300.0002350000202913115038191217000.00%60100.00%0711136851.97%659135648.60%39379249.62%16826916628.6%6.9%86.8%93.7Unlucky
12BluesOilers2110000056-120.5005914001220682133140683024386233.33%12375.00%0711136851.97%659135648.60%39379249.62%42264517311550.0%7.4%91.2%98.5DULL
13BluesPanthers2010010069-310.2506915104020672313256831914356116.67%7271.43%0711136851.97%659135648.60%39379249.62%41234718341641.7%9.0%89.2%98.1FUN
14BluesWild3110001099040.66791322001432923425324108473471400.00%12375.00%0711136851.97%659135648.60%39379249.62%63366728532660.0%9.8%91.7%101.4LUCKY
15BluesCanadiens1000000156-110.5005712000410391212153428261511100.00%30100.00%0711136851.97%659135648.60%39379249.62%221324818940.0%12.8%85.7%98.5FUN
16BluesPredators1100000043121.0004590020202915680328827300.00%4175.00%0711136851.97%659135648.60%39379249.62%221219918966.7%13.8%90.6%104.4FUN
17BluesDevils2200000083541.000813210033207229222106815643500.00%30100.00%0711136851.97%659135648.60%39379249.62%43264217341672.7%11.1%95.6%106.7LUCKY
18BluesIslanders2110000043120.5004711002200651923230562130496116.67%50100.00%0711136851.97%659135648.60%39379249.62%43254118341750.0%6.2%94.6%100.8DULL
19BluesRangers2010010058-310.250581310410064242712158201433900.00%7271.43%0711136851.97%659135648.60%39379249.62%44264418341745.5%7.8%86.2%94.0Unlucky
20BluesSenators2110000077020.5007111800133075133824071192530700.00%50100.00%0711136851.97%659135648.60%39379249.62%44274417301550.0%9.3%90.1%99.5FUN
21BluesFlyers2100000173430.750712190116017718332635911404510330.00%50100.00%0711136851.97%659135648.60%39379249.62%45274120371857.1%9.1%94.9%104.0LUCKY
22BluesUtah Hockey Club3120000089-120.333816240023301063137380994021509333.33%8187.50%0711136851.97%659135648.60%39379249.62%64396426502438.5%7.5%90.9%98.5Unlucky
23BluesSharks30200010812-420.333812200015119930363359223335811218.18%9188.89%0711136851.97%659135648.60%39379249.62%63356329572835.3%8.1%87.0%95.0Unlucky
24BluesLightning2100000155030.750561100302265202519563201640300.00%8187.50%0711136851.97%659135648.60%39379249.62%45264318351755.6%7.7%92.1%99.8DULL
25BluesMaple Leafs2020000025-300.000246000110531613240681814511317.69%70100.00%0711136851.97%659135648.60%39379249.62%43224117351816.7%3.8%92.6%96.4DULL
26BluesCanucks2010001066020.5006814000231662025213682920408112.50%10280.00%0711136851.97%659135648.60%39379249.62%46274319351655.6%9.1%91.2%100.3LUCKY
27BluesCapitals1100000074321.000710170022303414713041126245240.00%3166.67%1711136851.97%659135648.60%39379249.62%211122916862.5%20.6%90.2%110.8FUN
28BluesGolden Knights31200000812-420.333816241032309533174501004132606116.67%16287.50%0711136851.97%659135648.60%39379249.62%58337228482241.2%8.4%88.0%96.4Unlucky
29BluesKraken1100000031221.00035800021029105140261310154125.00%50100.00%0711136851.97%659135648.60%39379249.62%2011221017866.7%10.3%96.2%106.5LUCKY
_Vs Division14660001140400150.5364069109001115132452169152129847016211428941819.51%47980.85%0711136851.97%659135648.60%39379249.62%30317930112724411950.8%8.8%91.5%100.3DULL
_Vs Conference2912130003189845310.5348915224111213431496934232130416914322251578891820.22%1092081.65%0711136851.97%659135648.60%39379249.62%63637761626550624652.6%9.2%90.8%100.0FUN
_Since Last GM Reset562223012441711647600.5361712784493244626011188161262663142184258153711381853016.22%1973383.25%2711136851.97%659135648.60%39379249.62%1223718121551197147851.8%9.1%91.1%100.2Unlucky
Total562223012441711647600.5361712784493244626011188161262663142184258153711381853016.22%1973383.25%2711136851.97%659135648.60%39379249.62%1223718121551197147851.8%9.1%91.1%100.2Unlucky

Puck Time
Offensive Zone 21
Neutral Zone 17
Defensive Zone 21
Puck Time
Offensive Zone Start 1368
Neutral Zone Start 792
Defensive Zone Start 1356
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 1763
Faceoffs Lost 1753
Team Average Shots after League Average Shots after
1st Period 10.99.57
2nd Period 22.120.31
3rd Period 33.430.68
Overtime 34.131.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.80.64
2nd Period 1.91.65
3rd Period 3.02.67
Overtime 3.22.83
Even Strenght Goal 136
PP Goal 30
PK Goal 2
Empty Net Goal 3
Home Away
Win 1314
Lost 1310
Overtime Lost 24
PP Attempt 185
PP Goal 30
PK Attempt 197
PK Goal Against 33
Home
Shots For 33.6
Shots Against 32.9
Goals For 3.1
Goals Against 2.9
Hits 20.3
Shots Blocked 10.4
Pim 9.6
Cap Hit
Blues
Projected Total Cap Hit85,550,000$
Projected Cap Space2,450,000$
Retains And Buyout Cap Hit0$
Salary Cap To Date58,488,320$
Players In Salary Cap21
Contracts53/50
LTIR Players0
Blues Roster Pos Age Cap Hit 2024-25 2025-26 2026-27 2027-28 2028-29 2029-30 2030-31 2031-32
Arthur Kaliyev LW/RW231,975,000$1,975,000$ 1,975,000$ 1,975,000$ 1,975,000$ RFA
Ben Hutton D313,200,000$3,200,000$ UFA
Brad Marchand LW367,500,000$7,500,000$ 7,500,000$ UFA
Brandon Montour D303,500,000$3,500,000$ 3,500,000$ UFA
Brayden Schenn C/LW325,775,000$5,775,000$ UFA
Brendan Smith D353,500,000$3,500,000$ 3,500,000$ UFA
Darcy Kuemper G344,500,000$4,500,000$ 4,500,000$ 4,500,000$ 4,500,000$ UFA
Dawson Mercer C/RW22975,000$975,000$ RFA
Derek Stepan C/RW344,800,000$4,800,000$ UFA
Erik Johnson D365,100,000$5,100,000$ 5,100,000$ UFA
Josh Norris C252,600,000$2,600,000$ 2,600,000$ 2,600,000$ UFA
Kaapo Kahkonen G272,500,000$2,500,000$ 2,500,000$ UFA
Kyle Palmieri LW/RW334,850,000$4,850,000$ UFA
MacKenzie Weegar D305,975,000$5,975,000$ 5,975,000$ 5,975,000$ 5,975,000$ UFA
Marcus Johansson LW/RW334,800,000$4,800,000$ 4,800,000$ 4,800,000$ UFA
Mats Zuccarello LW/RW365,100,000$5,100,000$ 5,100,000$ UFA
Mike Hoffman LW344,500,000$4,500,000$ 4,500,000$ 4,500,000$ UFA
Pius Suter C/LW281,800,000$1,800,000$ 1,800,000$ UFA
Sean Walker D294,200,000$4,200,000$ 4,200,000$ 4,200,000$ 4,200,000$ UFA
Tyler Toffoli LW/RW324,000,000$4,000,000$ 4,000,000$ UFA
Zach Bogosian D334,400,000$4,400,000$ 4,400,000$ 4,400,000$ UFA
Non-Roster Pos Age Cap Hit 2024-25 2025-26 2026-27 2027-28 2028-29 2029-30 2030-31 2031-32
Anton Stralman D373,525,000$3,525,000$ 3,525,000$ UFA
Ben McCartney LW22975,000$975,000$ RFA
Bobby Nardella D281,250,000$1,250,000$ 1,250,000$ 1,250,000$ UFA
Brian Lashoff D331,525,000$1,525,000$ 1,525,000$ UFA
Cole Guttman C25950,000$975,000$ RFA
Corson Ceulemans D21950,000$975,000$ 975,000$ 975,000$ RFA
Denis Gurianov LW/RW274,000,000$4,000,000$ UFA
Devon Levi G22950,000$975,000$ 975,000$ 975,000$ RFA
Gabriel Carlsson D271,500,000$1,500,000$ UFA
Gavin Bayreuther D301,550,000$1,550,000$ 1,550,000$ 1,550,000$ 1,550,000$ UFA
Jake Muzzin D354,500,000$4,500,000$ 4,500,000$ UFA
Jason Polin C/LW/RW25975,000$975,000$ 975,000$ RFA
Jiri Smejkal LW27975,000$975,000$ 975,000$ 975,000$ UFA
John Leonard LW251,500,000$1,500,000$ 1,500,000$ RFA
Josh Jacobs D281,150,000$1,150,000$ UFA
Justin Danforth C/RW31975,000$975,000$ UFA
Keith Kinkaid G342,500,000$2,500,000$ UFA
Mike Sgarbossa C31975,000$975,000$ UFA
Pheonix Copley G322,800,000$2,800,000$ UFA
Riley Damiani C241,250,000$1,250,000$ 1,250,000$ RFA
Ross Johnston LW301,300,000$1,300,000$ 1,300,000$ 1,300,000$ UFA
Simon Ryfors C/LW/RW26975,000$975,000$ RFA
Strauss Mann G251,250,000$1,250,000$ 1,250,000$ 1,250,000$ UFA
Taylor Gauthier G23950,000$975,000$ 975,000$ 975,000$ RFA
Tristen Robins C221,300,000$1,300,000$ 1,300,000$ 1,300,000$ RFA
Tucker Robertson C21975,000$975,000$ 975,000$ 975,000$ RFA
Uvis Balinskis D27975,000$975,000$ 975,000$ 975,000$ UFA
Vinni Lettieri C/RW291,500,000$1,500,000$ 1,500,000$ 1,500,000$ UFA
William Dufour RW22950,000$975,000$ 975,000$ 975,000$ RFA
William Trudeau D211,400,000$1,400,000$ 1,400,000$ 1,400,000$ RFA
Wyatt Kaiser D211,400,000$1,400,000$ 1,400,000$ 1,400,000$ RFA
Xavier Bourgault RW211,400,000$1,400,000$ 1,400,000$ 1,400,000$ RFA

Lines
Forward Lines


Brad Marchand


Brayden Schenn


Tyler Toffoli


Kyle Palmieri


Dawson Mercer


Mats Zuccarello


Mike Hoffman


Pius Suter


Marcus Johansson


Arthur Kaliyev


Josh Norris


Derek Stepan

Defensive Pairings


MacKenzie Weegar


Sean Walker


Brandon Montour


Erik Johnson


Brendan Smith


Zach Bogosian

1st Power Play Unit


Brad Marchand


Brayden Schenn


Tyler Toffoli


MacKenzie Weegar


Brandon Montour

2nd Power Play Unit


Kyle Palmieri


Dawson Mercer


Mats Zuccarello


Brandon Montour


Sean Walker

Goalies


Darcy Kuemper


Kaapo Kahkonen

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
1BluesDucks1010000024-200.000246000200351118603112414100.00%2150.00%0711136851.97%659135648.60%39379249.62%201221817840.0%5.7%87.1%92.8Unlucky
2BluesJets2100000166030.750611170030306624212045719195110330.00%7271.43%0711136851.97%659135648.60%39379249.62%45264219371842.9%9.1%89.5%98.6FUN
3BluesBruins2100100097241.0009132200242168202620277291940400.00%7357.14%1711136851.97%659135648.60%39379249.62%43264617331669.2%13.2%90.9%104.1FUN
4BluesSabres2100001064241.00068140001436914282766415335010110.00%9188.89%0711136851.97%659135648.60%39379249.62%45264220371862.5%8.7%93.8%102.4DULL
5BluesFlames330000001731461.00017294601548012548354205912146412325.00%8275.00%0711136851.97%659135648.60%39379249.62%80514624532793.3%13.6%94.9%108.5LUCKY
6BluesHurricanes2020000047-300.000461000004063151830071181544800.00%5260.00%0711136851.97%659135648.60%39379249.62%43254316321644.4%6.3%90.1%96.5Unlucky
7BluesBlackhawks2110000075220.50071320001510712732120672010326233.33%5180.00%0711136851.97%659135648.60%39379249.62%41254518331655.6%9.9%92.5%102.4LUCKY
8BluesAvalanche1010000013-200.00011200100027119703991415400.00%70100.00%0711136851.97%659135648.60%39379249.62%211221916725.0%3.7%92.3%96.0DULL
9BluesBlue Jackets2110000054120.5005914001130722019330691516449222.22%8187.50%0711136851.97%659135648.60%39379249.62%42234418331750.0%6.9%94.2%101.1DULL
10BluesStars2110000055020.500510150013106127221206819843500.00%4175.00%0711136851.97%659135648.60%39379249.62%44264116341755.6%8.2%92.6%100.8DULL
11BluesRed Wings1010000025-300.0002350000202913115038191217000.00%60100.00%0711136851.97%659135648.60%39379249.62%16826916628.6%6.9%86.8%93.7Unlucky
12BluesOilers2110000056-120.5005914001220682133140683024386233.33%12375.00%0711136851.97%659135648.60%39379249.62%42264517311550.0%7.4%91.2%98.5DULL
13BluesPanthers2010010069-310.2506915104020672313256831914356116.67%7271.43%0711136851.97%659135648.60%39379249.62%41234718341641.7%9.0%89.2%98.1FUN
14BluesWild3110001099040.66791322001432923425324108473471400.00%12375.00%0711136851.97%659135648.60%39379249.62%63366728532660.0%9.8%91.7%101.4LUCKY
15BluesCanadiens1000000156-110.5005712000410391212153428261511100.00%30100.00%0711136851.97%659135648.60%39379249.62%221324818940.0%12.8%85.7%98.5FUN
16BluesPredators1100000043121.0004590020202915680328827300.00%4175.00%0711136851.97%659135648.60%39379249.62%221219918966.7%13.8%90.6%104.4FUN
17BluesDevils2200000083541.000813210033207229222106815643500.00%30100.00%0711136851.97%659135648.60%39379249.62%43264217341672.7%11.1%95.6%106.7LUCKY
18BluesIslanders2110000043120.5004711002200651923230562130496116.67%50100.00%0711136851.97%659135648.60%39379249.62%43254118341750.0%6.2%94.6%100.8DULL
19BluesRangers2010010058-310.250581310410064242712158201433900.00%7271.43%0711136851.97%659135648.60%39379249.62%44264418341745.5%7.8%86.2%94.0Unlucky
20BluesSenators2110000077020.5007111800133075133824071192530700.00%50100.00%0711136851.97%659135648.60%39379249.62%44274417301550.0%9.3%90.1%99.5FUN
21BluesFlyers2100000173430.750712190116017718332635911404510330.00%50100.00%0711136851.97%659135648.60%39379249.62%45274120371857.1%9.1%94.9%104.0LUCKY
22BluesUtah Hockey Club3120000089-120.333816240023301063137380994021509333.33%8187.50%0711136851.97%659135648.60%39379249.62%64396426502438.5%7.5%90.9%98.5Unlucky
23BluesSharks30200010812-420.333812200015119930363359223335811218.18%9188.89%0711136851.97%659135648.60%39379249.62%63356329572835.3%8.1%87.0%95.0Unlucky
24BluesLightning2100000155030.750561100302265202519563201640300.00%8187.50%0711136851.97%659135648.60%39379249.62%45264318351755.6%7.7%92.1%99.8DULL
25BluesMaple Leafs2020000025-300.000246000110531613240681814511317.69%70100.00%0711136851.97%659135648.60%39379249.62%43224117351816.7%3.8%92.6%96.4DULL
26BluesCanucks2010001066020.5006814000231662025213682920408112.50%10280.00%0711136851.97%659135648.60%39379249.62%46274319351655.6%9.1%91.2%100.3LUCKY
27BluesCapitals1100000074321.000710170022303414713041126245240.00%3166.67%1711136851.97%659135648.60%39379249.62%211122916862.5%20.6%90.2%110.8FUN
28BluesGolden Knights31200000812-420.333816241032309533174501004132606116.67%16287.50%0711136851.97%659135648.60%39379249.62%58337228482241.2%8.4%88.0%96.4Unlucky
29BluesKraken1100000031221.00035800021029105140261310154125.00%50100.00%0711136851.97%659135648.60%39379249.62%2011221017866.7%10.3%96.2%106.5LUCKY
_Vs Division14660001140400150.5364069109001115132452169152129847016211428941819.51%47980.85%0711136851.97%659135648.60%39379249.62%30317930112724411950.8%8.8%91.5%100.3DULL
_Vs Conference2912130003189845310.5348915224111213431496934232130416914322251578891820.22%1092081.65%0711136851.97%659135648.60%39379249.62%63637761626550624652.6%9.2%90.8%100.0FUN
_Since Last GM Reset562223012441711647600.5361712784493244626011188161262663142184258153711381853016.22%1973383.25%2711136851.97%659135648.60%39379249.62%1223718121551197147851.8%9.1%91.1%100.2Unlucky
Total562223012441711647600.5361712784493244626011188161262663142184258153711381853016.22%1973383.25%2711136851.97%659135648.60%39379249.62%1223718121551197147851.8%9.1%91.1%100.2Unlucky

Puck Time
Offensive Zone 21
Neutral Zone 17
Defensive Zone 21
Puck Time
Offensive Zone Start 1368
Neutral Zone Start 792
Defensive Zone Start 1356
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 1763
Faceoffs Lost 1753
Team Average Shots after League Average Shots after
1st Period 10.99.57
2nd Period 22.120.31
3rd Period 33.430.68
Overtime 34.131.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.80.64
2nd Period 1.91.65
3rd Period 3.02.67
Overtime 3.22.83
Even Strenght Goal 136
PP Goal 30
PK Goal 2
Empty Net Goal 3
Home Away
Win 1314
Lost 1310
Overtime Lost 24
PP Attempt 185
PP Goal 30
PK Attempt 197
PK Goal Against 33
Home
Shots For 33.6
Shots Against 32.9
Goals For 3.1
Goals Against 2.9
Hits 20.3
Shots Blocked 10.4
Pim 9.6
Schedule
DateMatchup Result Detail
Wed, Oct 16BluesSTL@BluesSEASTL3,SEA1RECAP
Fri, Oct 18BluesSTL@BluesSJ STL3,SJ 2 (SO)RECAP
Sat, Oct 19BluesSTL@BluesGKVSTL3,GKV5RECAP
Wed, Oct 23BluesMIN@BluesSTLMIN3,STL1RECAP
Fri, Oct 25BluesNYI@BluesSTLNYI2,STL1RECAP
Sun, Oct 27BluesCAR@BluesSTLCAR4,STL2RECAP
Wed, Oct 30BluesWPG@BluesSTLWPG2,STL3RECAP
Fri, Nov 1BluesSTL@BluesTORSTL1,TOR3RECAP
Sun, Nov 3BluesSTL@BluesMTLSTL5,MTL6 (SO)RECAP
Wed, Nov 6BluesSTL@BluesOTTSTL1,OTT2RECAP
Fri, Nov 8BluesSTL@BluesPHISTL5,PHI0RECAP
Sun, Nov 10BluesTOR@BluesSTLTOR2,STL1RECAP
Wed, Nov 13BluesTAM@BluesSTLTAM1,STL2RECAP
Fri, Nov 15BluesPHO@BluesSTLPHO4,STL3RECAP
Sun, Nov 17BluesWAS@BluesSTLWAS4,STL7RECAP
Wed, Nov 20BluesBOS@BluesSTLBOS5,STL6 (OT)RECAP
Fri, Nov 22BluesSTL@BluesBUFSTL3,BUF2RECAP
Sun, Nov 24BluesSTL@BluesBOSSTL3,BOS2RECAP
Mon, Nov 25BluesSTL@BluesCARSTL2,CAR3RECAP
Wed, Nov 27BluesMIN@BluesSTLMIN4,STL5RECAP
Fri, Nov 29BluesSJ @BluesSTLSJ 6,STL3RECAP
Sun, Dec 1BluesSTL@BluesNYISTL3,NYI1RECAP
Tue, Dec 3BluesSTL@BluesNYRSTL4,NYR5 (OT)RECAP
Thu, Dec 5BluesSTL@BluesNJDSTL4,NJD2RECAP
Sun, Dec 8BluesPHI@BluesSTLPHI3,STL2 (SO)RECAP
Wed, Dec 11BluesSTL@BluesWPGSTL3,WPG4 (SO)RECAP
Fri, Dec 13BluesSTL@BluesCALSTL4,CAL2RECAP
Sun, Dec 15BluesSTL@BluesEDMSTL1,EDM4RECAP
Wed, Dec 18BluesSTL@BluesVANSTL3,VAN2 (SO)RECAP
Fri, Dec 20BluesSJ @BluesSTLSJ 4,STL2RECAP
Sun, Dec 22BluesSTL@BluesDALSTL4,DAL2RECAP
Mon, Dec 23BluesNYR@BluesSTLNYR3,STL1RECAP
Wed, Dec 25BluesNJD@BluesSTLNJD1,STL4RECAP
Fri, Dec 27BluesSTL@BluesTAMSTL3,TAM4 (SO)RECAP
Sat, Dec 28BluesSTL@BluesFLOSTL3,FLO5RECAP
Tue, Dec 31BluesSTL@BluesDETSTL2,DET5RECAP
Sat, Jan 4BluesNAS@BluesSTLNAS3,STL4RECAP
Mon, Jan 6BluesBUF@BluesSTLBUF2,STL3 (SO)RECAP
Wed, Jan 8BluesSTL@BluesCHISTL5,CHI2RECAP
Sat, Jan 11BluesOTT@BluesSTLOTT5,STL6RECAP
Sun, Jan 12BluesSTL@BluesCLBSTL3,CLB1RECAP
Wed, Jan 15BluesSTL@BluesMINSTL3,MIN2 (SO)RECAP
Fri, Jan 17BluesANA@BluesSTLANA4,STL2RECAP
Sun, Jan 19BluesCLB@BluesSTLCLB3,STL2RECAP
Wed, Jan 22BluesCAL@BluesSTLCAL0,STL6RECAP
Fri, Jan 24BluesCAL@BluesSTLCAL1,STL7RECAP
Sun, Jan 26BluesSTL@BluesPHOSTL2,PHO3RECAP
Tue, Jan 28BluesSTL@BluesGKVSTL1,GKV6RECAP
Fri, Jan 31BluesGKV@BluesSTLGKV1,STL4RECAP
Sun, Feb 2BluesDAL@BluesSTLDAL3,STL1RECAP
Tue, Feb 4BluesVAN@BluesSTLVAN4,STL3RECAP
Sat, Feb 8BluesSTL@BluesCOLSTL1,COL3RECAP
Mon, Feb 10BluesSTL@BluesPHOSTL3,PHO2RECAP
Wed, Feb 12BluesEDM@BluesSTLEDM2,STL4RECAP
Fri, Feb 14BluesFLO@BluesSTLFLO4,STL3 (OT)RECAP
Sun, Feb 16BluesCHI@BluesSTLCHI3,STL2RECAP
Sun, Mar 2BluesWPG@BluesSTL
Mon, Mar 3BluesCOL@BluesSTL
Wed, Mar 5BluesSEA@BluesSTL
Fri, Mar 7BluesSTL@BluesWAS
Sun, Mar 9BluesLOS@BluesSTL
Mon, Mar 10BluesSTL@BluesDAL
Thu, Mar 13BluesSTL@BluesLOS
Sat, Mar 15BluesSTL@BluesANA
Sun, Mar 16BluesSTL@BluesLOS
Trade Deadline --- Trades can’t be done after this day is simulated!
Fri, Mar 21BluesSTL@BluesPIT
Sun, Mar 23BluesSTL@BluesMIN
Mon, Mar 24BluesANA@BluesSTL
Wed, Mar 26BluesSTL@BluesNAS
Fri, Mar 28BluesVAN@BluesSTL
Sun, Mar 30BluesCHI@BluesSTL
Mon, Mar 31BluesNAS@BluesSTL
Wed, Apr 2BluesMTL@BluesSTL
Fri, Apr 4BluesSTL@BluesNAS
Sun, Apr 6BluesSTL@BluesCOL
Wed, Apr 9BluesDET@BluesSTL
Fri, Apr 11BluesPIT@BluesSTL
Sun, Apr 13BluesCOL@BluesSTL
Tue, Apr 15BluesSTL@BluesWPG
Thu, Apr 17BluesSTL@BluesEDM
Sun, Apr 20BluesSTL@BluesSEA
Wed, Apr 23BluesPHO@BluesSTL

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
85,550,000$ 0$ 85,550,000$ 2,450,000$

ArenaGoal HornAbout us
NameSavvis Center
CitySt.Louis
Capacity19022
Season Ticket Holders40%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000302240001000
Ticket Price100$60$35$20$200$
Attendance124467106670729738641626977
Attendance PCT74.09%76.19%86.24%77.16%96.35%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
13 14911 - 78.39% 1,324,360$37,082,079$19022100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
85,550,000$ 85,550,000$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
58,830,154$ 85,550,000$ 58,488,320$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
17,216,680$ 62 439,031$ 27,219,922$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
28,292,707$ 85,550,000$ 40,630,186$ 29,554,159$
Depth Chart Rising Star Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Brad MarchandAGE:36BluesCAN
Brayden SchennAGE:32BluesCAN
Mats ZuccarelloAGE:36BluesNOR
Kyle PalmieriAGE:33BluesUSA
Marcus JohanssonAGE:33BluesSWE
Mike HoffmanAGE:34BluesCAN
Tyler ToffoliAGE:32BluesCAN
Denis GurianovAGE:27BluesRUS
Arthur KaliyevAGE:23BluesUZB
Pius SuterAGE:28BluesCHE
John LeonardAGE:25BluesUSA
Ross JohnstonAGE:30BluesCAN
Jiri SmejkalAGE:27BluesCZE
Simon RyforsAGE:26BluesSWE
Ben McCartneyAGE:22BluesCAN
Jason PolinAGE:25BluesUSA
Brayden SchennAGE:32BluesCAN
Derek StepanAGE:34BluesUSA
Josh NorrisAGE:25BluesUSA
Pius SuterAGE:28BluesCHE
Vinni LettieriAGE:29BluesUSA
Tristen RobinsAGE:22BluesENG
Riley DamianiAGE:24BluesCAN
Dawson MercerAGE:22BluesCAN
Justin DanforthAGE:31BluesCAN
Simon RyforsAGE:26BluesSWE
Mike SgarbossaAGE:31BluesCAN
Tucker RobertsonAGE:21BluesCAN
Jason PolinAGE:25BluesUSA
Cole GuttmanAGE:25BluesUSA
Mats ZuccarelloAGE:36BluesNOR
Kyle PalmieriAGE:33BluesUSA
Marcus JohanssonAGE:33BluesSWE
Derek StepanAGE:34BluesUSA
Tyler ToffoliAGE:32BluesCAN
Denis GurianovAGE:27BluesRUS
Arthur KaliyevAGE:23BluesUZB
Vinni LettieriAGE:29BluesUSA
Xavier BourgaultAGE:21BluesCAN
Dawson MercerAGE:22BluesCAN
Justin DanforthAGE:31BluesCAN
Simon RyforsAGE:26BluesSWE
Jason PolinAGE:25BluesUSA
William DufourAGE:22BluesCAN

Defense #1Defense #2Goalie
MacKenzie WeegarAGE:30BluesCAN
Erik JohnsonAGE:36BluesUSA
Jake MuzzinAGE:35BluesCAN
Zach BogosianAGE:33BluesUSA
Sean WalkerAGE:29BluesCAN
Anton StralmanAGE:37BluesSWE
Brendan SmithAGE:35BluesCAN
Brandon MontourAGE:30BluesCAN
Ben HuttonAGE:31BluesCAN
Gavin BayreutherAGE:30BluesUSA
Brian LashoffAGE:33BluesUSA
Gabriel CarlssonAGE:27BluesSWE
William TrudeauAGE:21BluesCAN
Wyatt KaiserAGE:21BluesUSA
Bobby NardellaAGE:28BluesUSA
Josh JacobsAGE:28BluesUSA
Uvis BalinskisAGE:27BluesLVA
Corson CeulemansAGE:21BluesCAN
Darcy KuemperAGE:34BluesCAN
Pheonix CopleyAGE:32BluesUSA
Kaapo KahkonenAGE:27BluesFIN
Keith KinkaidAGE:34BluesUSA
Strauss MannAGE:25BluesUSA
Devon LeviAGE:22BluesCAN
Taylor GauthierAGE:23BluesCAN

Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6Ronde 7
2025
2026
2027
2028
2029

** 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
Aaron LuchukBluesBluesLink
Adam KleberBluesBlues202447
Aleksi HeimosalmiBluesBlues202156
Alexandre DoucetBluesBlues2023129
Antoine MorandBluesBlues201755Link
Brandon FortunatoBluesBlues2019174Link
Brian BoyleBluesBluesLink
Connor PunnettBluesBlues2024175
Dennis YanBluesBluesLink
Denton MateychukBluesBlues202219
Eriks MateikoBluesBlues2024111
Ethan ProcyszynBluesBlues202479
Graham SwardBluesBlues2022152
Greg MoroBluesBluesLink
Gregory HofmannBluesBlues2021216
Hunter HaightBluesBlues202251
Ian MooreBluesBlues202081
Jack WalkerBluesBlues2016149
Jayden HalbgewachsBluesBluesLink
Kamil BednarikBluesBlues202457
Kodie CurranBluesBlues2020189Link
Konsta HeleniusBluesBlues202415
Landon MillerBluesBlues2024122
Linus HultstromBluesBlues201659
Mat RobsonBluesBlues2019143Link
Pontus AbergBluesBluesLink
Samuel BucekBluesBlues2022179
Shane EisermanBluesBlues2014109
Tomas VomackaBluesBlues2017210
Zdeno CharaBluesBluesLink
Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6Ronde 7
2025
2026
2027
2028
2029

** 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
Aaron LuchukBluesBluesLink
Adam KleberBluesBlues202447
Aleksi HeimosalmiBluesBlues202156
Alexandre DoucetBluesBlues2023129
Antoine MorandBluesBlues201755Link
Brandon FortunatoBluesBlues2019174Link
Brian BoyleBluesBluesLink
Connor PunnettBluesBlues2024175
Dennis YanBluesBluesLink
Denton MateychukBluesBlues202219
Eriks MateikoBluesBlues2024111
Ethan ProcyszynBluesBlues202479
Graham SwardBluesBlues2022152
Greg MoroBluesBluesLink
Gregory HofmannBluesBlues2021216
Hunter HaightBluesBlues202251
Ian MooreBluesBlues202081
Jack WalkerBluesBlues2016149
Jayden HalbgewachsBluesBluesLink
Kamil BednarikBluesBlues202457
Kodie CurranBluesBlues2020189Link
Konsta HeleniusBluesBlues202415
Landon MillerBluesBlues2024122
Linus HultstromBluesBlues201659
Mat RobsonBluesBlues2019143Link
Pontus AbergBluesBluesLink
Samuel BucekBluesBlues2022179
Shane EisermanBluesBlues2014109
Tomas VomackaBluesBlues2017210
Zdeno CharaBluesBluesLink
News














































Injuries
No Injury or Suspension.

Game Center

Panthers37-16-4, 78pts43Final
Blues27-23-6, 60pts

Blackhawks34-15-6, 74pts32Final
Blues27-23-6, 60pts

Jets38-15-3, 79ptsSun, Mar 02Savvis Center
Blues27-23-6, 60pts

Avalanche34-20-3, 71ptsMon, Mar 03Savvis Center
Blues27-23-6, 60pts

Kraken32-20-5, 69ptsWed, Mar 05Savvis Center
Blues27-23-6, 60pts

Team Leaders

GOALS
Brad Marchand
30
ASSISTS
MacKenzie Weegar
35
POINTS
Brad Marchand
61
PLUS/MINUS
Dawson Mercer
17
WINS
Darcy Kuemper
20
SV%
Kaapo Kahkonen
0.927

Team Stats


Goals For
171
3.05 GFG
Shots For
1881
33.59 Avg
Power Play Percentage
16.2%
30 GF
Offensive Zone Start
50.2%
Goals Against
164
2.93 GAA
Shots Against
1842
32.89 Avg
Penalty Kill Percentage
83.2%
33 GA
Defensive Zone Start
49.8%

Injury status

Player POS Status Injury Out For Expected Return
Gabriel CarlssonDInjured ReserveRight Knee Injury3 Weeks2025-03-16
Uvis Balinskis (R)DInjured ReserveBroken Bone (Right Leg) Injury3 Weeks2025-03-15
 

St.Louis Blues Info

Blues
General ManagerDonald April
Head CoachRod Brind'Amour
ConferenceWestern Conference
DivisionCentral Division

AHL Affiliation

Blues
Team NameThunderbirds
CitySpringfield
Head CoachSteve Ott
DivisionCentral Division

Team Jerseys

Blues Blues Blues
Home Away Alternate

Arena Info

StadiumSavvis Center
Capacity19,022
Attendance14,911
Season Tickets7,609

Roster Info

Active Roster21/23
Contract Limit53/50
Prospects & Player's Rights30
Reserve List83/90

Salary Cap

Total Cap Hit85,550,000$
Cap Hit Percentage97.22%
Projected Cap Space2,450,000$
Retains & Buyout0$

Finance

Team Revenue37,082,079$
Estimated Revenue54,298,759$
Estimated Expenses86,050,076$
Operating Income-31,751,317$
Bank Account40,630,186$

Tickets

Section 100100$ | 74.09%
Section 20060$ | 76.19%
Section 30035$ | 86.24%
Section 40020$ | 77.16%
Suites200$ | 96.35%

Team History

Playoff Appearances1
Playoff Record (W-L)6-6
Stanley Cup0

Entry Draft