BluesSt.Louis Blues
2-8-1, 5pts · 15th 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
Brayden SchennC/LW100.00807868767888948480787972809294179346,100,000$/3yrs
Marcus JohanssonLW/RW100.00704193757986958350797472779181177354,800,000$/1yrs
Connor BrownRW100.00674090827386908150767675808575177324,300,000$/3yrs
Ryan DonatoC/LW/RW100.00764774797686878470777970818272177303,250,000$/1yrs
Dawson MercerC/RW100.00685182897689838464768076846858177244,500,000$/3yrs
Pius SuterC/LW100.00694188867288838171767675817363176304,800,000$/4yrs
Josh NorrisC100.00694174788188817977767672787666175272,600,000$/1yrs
Sean KuralyC100.00795673748283887578736775728476174334,100,000$/3yrs
Victor OlofssonLW/RW100.00664093787384858042757469777969174304,200,000$/3yrs
Tanner PearsonLW/RW100.00765085748182907450706971728878173334,500,000$/1yrs
Ross JohnstonLW100.00878658688979876947686367668575170321,300,000$/1yrs
Tomas NosekC/LW100.00724085728084826874646370678575170333,500,000$/3yrs
Jake McCabeD100.00736469818294917740776993768878181324,750,000$/3yrs
Sean WalkerD100.00765070877590868440757488827969180314,200,000$/2yrs
Brandon MontourD100.00715768827890878840778375848474179325,500,000$/4yrs
Denton MateychukD100.0065409089788674784073787782565017621886,667$/1yrs
Zach BogosianD100.00704675718684877240676675709383174354,400,000$/1yrs
Wyatt KaiserD100.00704180867888797540697077776353174231,400,000$/1yrs
Scratches
Uvis BalinskisD100.0073457775788574744070697373595017229975,000$/1yrs
TEAM AVERAGE100.00725079797986857854737375777970176
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO OV AGE CONTRACT
Darcy Kuemper099.0078919288918887878887848982181364,500,000$/2yrs
Tristan Jarry0100.0083888980898479818287808477177315,500,000$/2yrs
Scratches
TEAM AVERAGE99.5081909184908683848587828780179
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Rod Brind'Amour8490928686921CAN5531,000,000$
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
1Pius SuterBluesBlues0C/LW11268-720113814295.26%816.03123000360040.00%000.73000.63
2Dawson MercerBluesBlues0C/RW11268-180153417175.88%420.30123011350048.19%000.73010.65
3Brayden SchennBluesBlues0C/LW11347-5160293512218.57%220.6013400090051.63%000.64010.38
4Denton MateychukBluesBlues0D11167-1200513867.69%1221.6611200021000.00%000.64000.21
5Brandon MontourBluesBlues0D11167-1212013271073.70%1520.9811200010010.00%000.64010.15
6Connor BrownBluesBlues0RW11437-400103191612.90%1317.28000000141053.33%000.64000.66
7Sean WalkerBluesBlues0D11055-1100181919110.00%1426.2800000031000.00%000.45000.36
8Jake McCabeBluesBlues0D11224-16017193610.53%1924.3000010136000.00%000.36000.35
9Sean KuralyBluesBlues0C11213-82017206510.00%512.45000000220049.41%000.27000.11
10Marcus JohanssonBluesBlues0LW/RW11213-4007379135.41%519.2810100091044.44%000.27000.39
11Josh NorrisBluesBlues0C11123-22020223134.55%116.5000000010051.41%000.27000.31
12Victor OlofssonBluesBlues0LW/RW11213-800720111310.00%210.4200000000020.00%000.27000.14
13Ryan DonatoBluesBlues0C/LW/RW11213-28092092210.00%517.0800000000146.15%000.27000.24
14Tanner PearsonBluesBlues0LW/RW11123-1005195145.26%48.51000000000100.00%000.27000.34
15Tomas NosekBluesBlues0C/LW11112-100493911.11%08.4800000000077.08%000.18000.20
16Zach BogosianBluesBlues0D11011-14048660.00%814.3500000012000.00%000.09000.06
17Ross JohnstonBluesBlues0LW101010201530933.33%18.6500000000066.67%000.10000.13
18Uvis BalinskisBluesBlues0D100000000000.00%01.000000001000.00%000.00000.00
19Wyatt KaiserBluesBlues0D11000-1201210430.00%1113.2000000019000.00%000.00000.07
Team Total or Average198274875-717402183841482207.03%12916.4269152681122612252.27%7509277000.4603
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
1Tristan JarryBluesBlues21000.9292.57700034218000.0000110000
2Darcy KuemperBluesBlues101810.8903.745932037336145000.6673101101
Team Total or Average122810.8943.616642040378163000.66731111101
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
1BluesJets1000000145-110.50047110012104814141762994132150.00%20100.00%015029251.37%16629456.46%7616047.50%231523917737.5%8.3%82.8%91.1Unlucky
2BluesHurricanes1010000027-500.0002460010102910613035141025200.00%5260.00%015029251.37%16629456.46%7616047.50%211220817828.6%6.9%80.0%86.9Unlucky
3BluesBlackhawks1010000025-300.0002460001104411122104216821100.00%4250.00%015029251.37%16629456.46%7616047.50%221321815840.0%4.5%88.1%92.6Unlucky
4BluesAvalanche1100000052321.00051015000230381791203356203133.33%30100.00%015029251.37%16629456.46%7616047.50%211323815766.7%13.2%93.9%107.1LUCKY
5BluesBlue Jackets1010000013-200.0001230001003011109033158172150.00%40100.00%015029251.37%16629456.46%7616047.50%21132191770.0%3.3%90.9%94.2Unlucky
6BluesStars1010000023-100.000246000110331251603819616400.00%30100.00%015029251.37%16629456.46%7616047.50%211221817940.0%6.1%92.1%98.2DULL
7BluesWild1010000013-200.000112001000341214802812626300.00%30100.00%015029251.37%16629456.46%7616047.50%221219918925.0%2.9%89.3%92.2Unlucky
8BluesPredators1100000031221.00035800120035129140341014152150.00%70100.00%015029251.37%16629456.46%7616047.50%2113211016766.7%8.6%97.1%105.6DULL
9BluesSenators1010000035-200.0003580030003816111103964186116.67%2150.00%015029251.37%16629456.46%7616047.50%241420815833.3%7.9%87.2%95.1Unlucky
10BluesSharks1010000012-100.00011200001031912100366229500.00%10100.00%015029251.37%16629456.46%7616047.50%211220818933.3%3.2%94.4%97.7DULL
11BluesGolden Knights1010000035-200.000358000210243912031178182150.00%40100.00%115029251.37%16629456.46%7616047.50%191022917828.6%12.5%83.9%96.4FUN
_Vs Division623000011719-250.4171731480038602327863886204714411115320.00%22290.91%015029251.37%16629456.46%7616047.50%13281131541004845.2%7.3%90.7%98.0Unlucky
_Vs Conference825000012126-550.313213758003108028790841106271945415822418.18%27292.59%115029251.37%16629456.46%7616047.50%174104174731366641.5%7.3%90.4%97.7Unlucky
_Since Last GM Reset1128000012741-1450.227274875007119038412711114363781297621832618.75%38586.84%115029251.37%16629456.46%7616047.50%241144236991869036.8%7.0%89.2%96.2Unlucky
Total1128000012741-1450.227274875007119038412711114363781297621832618.75%38586.84%115029251.37%16629456.46%7616047.50%241144236991869036.8%7.0%89.2%96.2Unlucky

Puck Time
Offensive Zone 21
Neutral Zone 16
Defensive Zone 21
Puck Time
Offensive Zone Start 292
Neutral Zone Start 160
Defensive Zone Start 294
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 392
Faceoffs Lost 354
Team Average Shots after League Average Shots after
1st Period 11.59.57
2nd Period 21.620.31
3rd Period 34.630.68
Overtime 35.231.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.60.64
2nd Period 1.61.65
3rd Period 2.52.67
Overtime 2.52.83
Even Strenght Goal 20
PP Goal 6
PK Goal 1
Empty Net Goal 0
Home Away
Win 02
Lost 44
Overtime Lost 10
PP Attempt 32
PP Goal 6
PK Attempt 38
PK Goal Against 5
Home
Shots For 34.9
Shots Against 34.4
Goals For 2.5
Goals Against 3.7
Hits 19.8
Shots Blocked 11.7
Pim 6.9
Cap Hit
Blues
Projected Total Cap Hit80,150,000$
Projected Cap Space23,850,000$
Retains And Buyout Cap Hit0$
Salary Cap To Date11,292,561$
Players In Salary Cap21
Contracts53/50
LTIR Players0
Blues Roster Pos Age Cap Hit 2026-27 2027-28 2028-29 2029-30 2030-31 2031-32 2032-33 2033-34
Brandon Montour D325,500,000$5,500,000$ 5,500,000$ 5,500,000$ 5,500,000$ UFA
Brayden Schenn C/LW346,100,000$6,100,000$ 6,100,000$ 6,100,000$ UFA
Connor Brown RW324,300,000$4,300,000$ 4,300,000$ 4,300,000$ UFA
Darcy Kuemper G364,500,000$4,500,000$ 4,500,000$ UFA
Dawson Mercer C/RW244,500,000$4,500,000$ 4,500,000$ 4,500,000$ RFA
Denton Mateychuk D21886,667$975,000$ RFA
Jake McCabe D324,750,000$4,750,000$ 4,750,000$ 4,750,000$ UFA
Josh Norris C272,600,000$2,600,000$ UFA
Marcus Johansson LW/RW354,800,000$4,800,000$ UFA
Pius Suter C/LW304,800,000$4,800,000$ 4,800,000$ 4,800,000$ 4,800,000$ UFA
Ross Johnston LW321,300,000$1,300,000$ UFA
Ryan Donato C/LW/RW303,250,000$3,250,000$ UFA
Sean Kuraly C334,100,000$4,100,000$ 4,100,000$ 4,100,000$ UFA
Sean Walker D314,200,000$4,200,000$ 4,200,000$ UFA
Tanner Pearson LW/RW334,500,000$4,500,000$ UFA
Tomas Nosek C/LW333,500,000$3,500,000$ 3,500,000$ 3,500,000$ UFA
Tristan Jarry G315,500,000$5,500,000$ 5,500,000$ UFA
Uvis Balinskis D29975,000$975,000$ UFA
Victor Olofsson LW/RW304,200,000$4,200,000$ 4,200,000$ 4,200,000$ UFA
Wyatt Kaiser D231,400,000$1,400,000$ RFA
Zach Bogosian D354,400,000$4,400,000$ UFA
Non-Roster Pos Age Cap Hit 2026-27 2027-28 2028-29 2029-30 2030-31 2031-32 2032-33 2033-34
Aleksi Heimosalmi D231,200,000$1,200,000$ 1,200,000$ 1,200,000$ 1,200,000$ RFA
Arthur Kaliyev LW/RW251,975,000$1,975,000$ 1,975,000$ RFA
Ben McCartney LW241,200,000$1,200,000$ 1,200,000$ 1,200,000$ RFA
Cole Guttman C/RW271,800,000$1,800,000$ 1,800,000$ 1,800,000$ UFA
Connor Punnett D23975,000$975,000$ 975,000$ 975,000$ 975,000$ RFA
Corey Schueneman D301,000,000$1,000,000$ UFA
Corson Ceulemans D23950,000$975,000$ RFA
Craig Smith C/LW/RW364,100,000$4,100,000$ 4,100,000$ UFA
Devon Levi G24975,000$975,000$ RFA
Dylan McIlrath D341,975,000$1,975,000$ 1,975,000$ 1,975,000$ UFA
Eduard Sale LW21918,333$975,000$ RFA
Eriks Mateiko LW20975,000$975,000$ 975,000$ 975,000$ 975,000$ RFA
Gavin Bayreuther D32975,000$975,000$ UFA
Hunter Haight C22865,833$975,000$ RFA
Ian Moore D241,800,000$1,800,000$ 1,800,000$ 1,800,000$ 1,800,000$ UFA
Jason Polin C/LW/RW271,200,000$1,200,000$ 1,200,000$ 1,200,000$ 1,200,000$ UFA
John Leonard LW/RW271,600,000$1,600,000$ 1,600,000$ 1,600,000$ 1,600,000$ UFA
Jonathan Lekkerimaki RW21975,000$975,000$ 975,000$ RFA
Josh Jacobs D301,200,000$1,200,000$ 1,200,000$ 1,200,000$ UFA
Justin Danforth C/LW/RW332,100,000$2,100,000$ 2,100,000$ 2,100,000$ UFA
Kaapo Kahkonen G293,000,000$3,000,000$ 3,000,000$ UFA
Konsta Helenius C/LW/RW20975,000$975,000$ RFA
Kurtis MacDermid LW/RW322,100,000$2,100,000$ 2,100,000$ UFA
Sasha Pastujov RW22975,000$975,000$ RFA
Simon Zajicek G25975,000$975,000$ 975,000$ 975,000$ 975,000$ UFA
Taylor Gauthier G25975,000$975,000$ RFA
Tristen Robins RW241,300,000$1,300,000$ RFA
Tucker Robertson C23975,000$975,000$ RFA
Vinni Lettieri C311,500,000$1,500,000$ UFA
William Dufour LW24950,000$975,000$ RFA
William Trudeau D231,400,000$1,400,000$ RFA
Xavier Bourgault LW/RW231,400,000$1,400,000$ RFA

Lines
Forward Lines


Marcus Johansson


Brayden Schenn


Connor Brown


Ryan Donato


Josh Norris


Dawson Mercer


Pius Suter


Sean Kuraly


Victor Olofsson


Ross Johnston


Tomas Nosek


Tanner Pearson

Defensive Pairings


Jake McCabe


Sean Walker


Brandon Montour


Denton Mateychuk


Zach Bogosian


Wyatt Kaiser

1st Power Play Unit


Ryan Donato


Brayden Schenn


Dawson Mercer


Denton Mateychuk


Brandon Montour

2nd Power Play Unit


Pius Suter


Josh Norris


Marcus Johansson


Brandon Montour


Sean Walker

Goalies


Darcy Kuemper


Tristan Jarry

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
1BluesJets1000000145-110.50047110012104814141762994132150.00%20100.00%015029251.37%16629456.46%7616047.50%231523917737.5%8.3%82.8%91.1Unlucky
2BluesHurricanes1010000027-500.0002460010102910613035141025200.00%5260.00%015029251.37%16629456.46%7616047.50%211220817828.6%6.9%80.0%86.9Unlucky
3BluesBlackhawks1010000025-300.0002460001104411122104216821100.00%4250.00%015029251.37%16629456.46%7616047.50%221321815840.0%4.5%88.1%92.6Unlucky
4BluesAvalanche1100000052321.00051015000230381791203356203133.33%30100.00%015029251.37%16629456.46%7616047.50%211323815766.7%13.2%93.9%107.1LUCKY
5BluesBlue Jackets1010000013-200.0001230001003011109033158172150.00%40100.00%015029251.37%16629456.46%7616047.50%21132191770.0%3.3%90.9%94.2Unlucky
6BluesStars1010000023-100.000246000110331251603819616400.00%30100.00%015029251.37%16629456.46%7616047.50%211221817940.0%6.1%92.1%98.2DULL
7BluesWild1010000013-200.000112001000341214802812626300.00%30100.00%015029251.37%16629456.46%7616047.50%221219918925.0%2.9%89.3%92.2Unlucky
8BluesPredators1100000031221.00035800120035129140341014152150.00%70100.00%015029251.37%16629456.46%7616047.50%2113211016766.7%8.6%97.1%105.6DULL
9BluesSenators1010000035-200.0003580030003816111103964186116.67%2150.00%015029251.37%16629456.46%7616047.50%241420815833.3%7.9%87.2%95.1Unlucky
10BluesSharks1010000012-100.00011200001031912100366229500.00%10100.00%015029251.37%16629456.46%7616047.50%211220818933.3%3.2%94.4%97.7DULL
11BluesGolden Knights1010000035-200.000358000210243912031178182150.00%40100.00%115029251.37%16629456.46%7616047.50%191022917828.6%12.5%83.9%96.4FUN
_Vs Division623000011719-250.4171731480038602327863886204714411115320.00%22290.91%015029251.37%16629456.46%7616047.50%13281131541004845.2%7.3%90.7%98.0Unlucky
_Vs Conference825000012126-550.313213758003108028790841106271945415822418.18%27292.59%115029251.37%16629456.46%7616047.50%174104174731366641.5%7.3%90.4%97.7Unlucky
_Since Last GM Reset1128000012741-1450.227274875007119038412711114363781297621832618.75%38586.84%115029251.37%16629456.46%7616047.50%241144236991869036.8%7.0%89.2%96.2Unlucky
Total1128000012741-1450.227274875007119038412711114363781297621832618.75%38586.84%115029251.37%16629456.46%7616047.50%241144236991869036.8%7.0%89.2%96.2Unlucky

Puck Time
Offensive Zone 21
Neutral Zone 16
Defensive Zone 21
Puck Time
Offensive Zone Start 292
Neutral Zone Start 160
Defensive Zone Start 294
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 392
Faceoffs Lost 354
Team Average Shots after League Average Shots after
1st Period 11.59.57
2nd Period 21.620.31
3rd Period 34.630.68
Overtime 35.231.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.60.64
2nd Period 1.61.65
3rd Period 2.52.67
Overtime 2.52.83
Even Strenght Goal 20
PP Goal 6
PK Goal 1
Empty Net Goal 0
Home Away
Win 02
Lost 44
Overtime Lost 10
PP Attempt 32
PP Goal 6
PK Attempt 38
PK Goal Against 5
Home
Shots For 34.9
Shots Against 34.4
Goals For 2.5
Goals Against 3.7
Hits 19.8
Shots Blocked 11.7
Pim 6.9
Schedule
DateMatchup Result Detail
Wed, Oct 14BluesSTL@BluesDALSTL2,DAL3RECAP
Thu, Oct 15BluesSTL@BluesCOLSTL5,COL2RECAP
Sun, Oct 18BluesSTL@BluesCHISTL2,CHI5RECAP
Tue, Oct 20BluesSJ @BluesSTLSJ 2,STL1RECAP
Thu, Oct 22BluesCLB@BluesSTLCLB3,STL1RECAP
Sun, Oct 25BluesSTL@BluesOTTSTL3,OTT5RECAP
Tue, Oct 27BluesSTL@BluesMINSTL1,MIN3RECAP
Thu, Oct 29BluesSTL@BluesNASSTL3,NAS1RECAP
Sun, Nov 1BluesWPG@BluesSTLWPG5,STL4 (SO)RECAP
Tue, Nov 3BluesGKV@BluesSTLGKV5,STL3RECAP
Thu, Nov 5BluesCAR@BluesSTLCAR7,STL2RECAP
Sun, Nov 8BluesMTL@BluesSTL
Tue, Nov 10BluesBOS@BluesSTL
Thu, Nov 12BluesSTL@BluesDET
Sun, Nov 15BluesSTL@BluesNYR
Tue, Nov 17BluesSTL@BluesNJD
Thu, Nov 19BluesSTL@BluesNAS
Sun, Nov 22BluesDET@BluesSTL
Tue, Nov 24BluesSTL@BluesPHO
Thu, Nov 26BluesFLO@BluesSTL
Sun, Nov 29BluesANA@BluesSTL
Tue, Dec 1BluesSTL@BluesPIT
Wed, Dec 2BluesNJD@BluesSTL
Thu, Dec 3BluesEDM@BluesSTL
Sun, Dec 6BluesSTL@BluesNYI
Mon, Dec 7BluesDAL@BluesSTL
Tue, Dec 8BluesWAS@BluesSTL
Sat, Dec 12BluesPIT@BluesSTL
Mon, Dec 14BluesCHI@BluesSTL
Wed, Dec 16BluesNAS@BluesSTL
Fri, Dec 18BluesCOL@BluesSTL
Sun, Dec 20BluesSTL@BluesPHO
Tue, Dec 22BluesSTL@BluesDAL
Wed, Dec 23BluesTAM@BluesSTL
Fri, Dec 25BluesWPG@BluesSTL
Sun, Dec 27BluesSTL@BluesBOS
Tue, Dec 29BluesSTL@BluesWAS
Thu, Dec 31BluesSTL@BluesFLO
Fri, Jan 1BluesSTL@BluesTAM
Sun, Jan 3BluesNYR@BluesSTL
Tue, Jan 5BluesSTL@BluesCOL
Thu, Jan 7BluesSTL@BluesGKV
Sat, Jan 9BluesSTL@BluesMIN
Sun, Jan 10BluesCAL@BluesSTL
Tue, Jan 12BluesSTL@BluesCAR
Fri, Jan 15BluesOTT@BluesSTL
Wed, Jan 20BluesSTL@BluesLOS
Thu, Jan 21BluesSTL@BluesANA
Sat, Jan 23BluesMIN@BluesSTL
Mon, Jan 25BluesSTL@BluesTOR
Thu, Jan 28BluesSTL@BluesMTL
Sat, Jan 30BluesTOR@BluesSTL
Tue, Feb 2BluesCHI@BluesSTL
Thu, Feb 4BluesCOL@BluesSTL
Sat, Feb 6BluesVAN@BluesSTL
Fri, Feb 12BluesLOS@BluesSTL
Mon, Feb 15BluesSTL@BluesEDM
Tue, Feb 16BluesSTL@BluesSEA
Thu, Feb 18BluesPHI@BluesSTL
Sat, Feb 20BluesSTL@BluesCHI
Mon, Feb 22BluesSTL@BluesWPG
Wed, Feb 24BluesPHO@BluesSTL
Sun, Feb 28BluesVAN@BluesSTL
Tue, Mar 2BluesMIN@BluesSTL
Wed, Mar 3BluesDAL@BluesSTL
Sun, Mar 7BluesSTL@BluesBUF
Wed, Mar 10BluesSTL@BluesPHI
Fri, Mar 12BluesNAS@BluesSTL
Sun, Mar 14BluesSJ @BluesSTL
Tue, Mar 16BluesANA@BluesSTL
Trade Deadline --- Trades can’t be done after this day is simulated!
Thu, Mar 18BluesSTL@BluesSEA
Sun, Mar 21BluesSTL@BluesEDM
Tue, Mar 23BluesSTL@BluesVAN
Wed, Mar 24BluesSTL@BluesCAL
Fri, Mar 26BluesSTL@BluesWPG
Sun, Mar 28BluesNYI@BluesSTL
Tue, Mar 30BluesSTL@BluesCLB
Wed, Mar 31BluesBUF@BluesSTL
Sun, Apr 4BluesCAL@BluesSTL
Tue, Apr 6BluesSTL@BluesLOS
Wed, Apr 7BluesSTL@BluesSJ
Fri, Apr 9BluesSTL@BluesGKV
Sun, Apr 11BluesSEA@BluesSTL
Tue, Apr 13BluesPHO@BluesSTL

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
80,150,000$ 0$ 80,150,000$ 23,850,000$

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

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000302240001000
Ticket Price100$60$35$20$200$
Attendance223851932512606151694680
Attendance PCT74.62%77.30%83.43%75.85%93.60%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
37 14833 - 77.98% 1,320,434$6,602,168$19022100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
80,150,000$ 80,150,000$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
11,433,117$ 80,150,000$ 11,292,561$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
48,856,043$ 159 438,649$ 69,745,191$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
73,984,719$ 80,150,000$ 485,008,022$ 459,879,346$
Depth Chart Rising Star Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Brayden SchennAGE:34BluesCAN
Marcus JohanssonAGE:35BluesSWE
Pius SuterAGE:30BluesSUI
Tanner PearsonAGE:33BluesCAN
Victor OlofssonAGE:30BluesSWE
Craig SmithAGE:36BluesUSA
Tomas NosekAGE:33BluesCZE
Ryan DonatoAGE:30BluesUSA
Kurtis MacDermidAGE:32BluesCAN
Justin DanforthAGE:33BluesCAN
Arthur KaliyevAGE:25BluesUZB
John LeonardAGE:27BluesUSA
Xavier BourgaultAGE:23BluesCAN
Ross JohnstonAGE:32BluesCAN
Ben McCartneyAGE:24BluesCAN
Jason PolinAGE:27BluesUSA
Konsta HeleniusAGE:20BluesFIN
Eriks MateikoAGE:20BluesLAT
William DufourAGE:24BluesCAN
Eduard SaleAGE:21BluesCZE
Brayden SchennAGE:34BluesCAN
Pius SuterAGE:30BluesSUI
Dawson MercerAGE:24BluesCAN
Sean KuralyAGE:33BluesUSA
Craig SmithAGE:36BluesUSA
Tomas NosekAGE:33BluesCZE
Ryan DonatoAGE:30BluesUSA
Josh NorrisAGE:27BluesUSA
Justin DanforthAGE:33BluesCAN
Cole GuttmanAGE:27BluesUSA
Vinni LettieriAGE:31BluesUSA
Jason PolinAGE:27BluesUSA
Konsta HeleniusAGE:20BluesFIN
Tucker RobertsonAGE:23BluesCAN
Hunter HaightAGE:22BluesCAN
Marcus JohanssonAGE:35BluesSWE
Tanner PearsonAGE:33BluesCAN
Dawson MercerAGE:24BluesCAN
Connor BrownAGE:32BluesCAN
Victor OlofssonAGE:30BluesSWE
Craig SmithAGE:36BluesUSA
Ryan DonatoAGE:30BluesUSA
Kurtis MacDermidAGE:32BluesCAN
Justin DanforthAGE:33BluesCAN
Arthur KaliyevAGE:25BluesUZB
Cole GuttmanAGE:27BluesUSA
John LeonardAGE:27BluesUSA
Xavier BourgaultAGE:23BluesCAN
Tristen RobinsAGE:24BluesCAN
Jason PolinAGE:27BluesUSA
Sasha PastujovAGE:22BluesUSA
Jonathan LekkerimakiAGE:21BluesSWE
Konsta HeleniusAGE:20BluesFIN

Defense #1Defense #2Goalie
Brandon MontourAGE:32BluesCAN
Jake McCabeAGE:32BluesUSA
Zach BogosianAGE:35BluesUSA
Sean WalkerAGE:31BluesCAN
Dylan McIlrathAGE:34BluesCAN
Ian MooreAGE:24BluesUSA
Wyatt KaiserAGE:23BluesUSA
William TrudeauAGE:23BluesCAN
Josh JacobsAGE:30BluesUSA
Aleksi HeimosalmiAGE:23BluesFIN
Corey SchuenemanAGE:30BluesUSA
Uvis BalinskisAGE:29BluesLAT
Gavin BayreutherAGE:32BluesUSA
Connor PunnettAGE:23BluesCAN
Corson CeulemansAGE:23BluesCAN
Denton MateychukAGE:21BluesCAN
Tristan JarryAGE:31BluesCAN
Darcy KuemperAGE:36BluesCAN
Kaapo KahkonenAGE:29BluesFIN
Devon LeviAGE:24BluesCAN
Simon ZajicekAGE:25BluesCZE
Taylor GauthierAGE:25BluesCAN

Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6Ronde 7
2027
2028
2029
2030
2031

** 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
Abram WiebeBluesBlues2026194
Adam BenakBluesBlues202570
Adam KleberBluesBlues202447
Alexandre DoucetBluesBlues2023129
Antoine MorandBluesBlues201755Link
Anton StralmanBluesBlues
Ben WilmottBluesBlues202687
Bobby NardellaBluesBlues2019112
Boston BuckbergerBluesBlues2026166
Brandon FortunatoBluesBlues2019174Link
Brian BoyleBluesBluesLink
Brian LashoffBluesBlues
David RozsivalBluesBlues2025194
Denis GurianovBluesBlues
Dennis YanBluesBluesLink
Derek StepanBluesBlues
Ethan ProcyszynBluesBlues202479
Filip EkbergBluesBlues2025144
Gabriel CarlssonBluesBlues
Gavin McKennaBluesBlues20261
Graham SwardBluesBlues2022152
Greg MoroBluesBluesLink
Gregory HofmannBluesBlues2021216
Jack IvankovicBluesBlues202548
Jack WalkerBluesBlues2016149
Jake MuzzinBluesBlues
Jaxon CoverBluesBlues202635
Jayden HalbgewachsBluesBluesLink
Jiri SmejkalBluesBlues202393
Joshua KotaiBluesBlues2026102
Kashawn AitchesonBluesBlues202516
Keith KinkaidBluesBlues
Kodie CurranBluesBlues2020189Link
Landon MillerBluesBlues2024122
Linus HultstromBluesBlues201659
Luke MistelbacherBluesBlues2025208
Mat RobsonBluesBlues2019143Link
Pontus AbergBluesBluesLink
Riley DamianiBluesBlues2018171
Samuel BucekBluesBlues2022179
Shane EisermanBluesBlues2014109
Simon RyforsBluesBlues2021184
Strauss MannBluesBlues202283
Tomas CibulkaBluesBlues2026198
Tomas VomackaBluesBlues2017210
Vitali PinchukBluesBlues202638
Zdeno CharaBluesBluesLink
Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6Ronde 7
2027
2028
2029
2030
2031

** 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
Abram WiebeBluesBlues2026194
Adam BenakBluesBlues202570
Adam KleberBluesBlues202447
Alexandre DoucetBluesBlues2023129
Antoine MorandBluesBlues201755Link
Anton StralmanBluesBlues
Ben WilmottBluesBlues202687
Bobby NardellaBluesBlues2019112
Boston BuckbergerBluesBlues2026166
Brandon FortunatoBluesBlues2019174Link
Brian BoyleBluesBluesLink
Brian LashoffBluesBlues
David RozsivalBluesBlues2025194
Denis GurianovBluesBlues
Dennis YanBluesBluesLink
Derek StepanBluesBlues
Ethan ProcyszynBluesBlues202479
Filip EkbergBluesBlues2025144
Gabriel CarlssonBluesBlues
Gavin McKennaBluesBlues20261
Graham SwardBluesBlues2022152
Greg MoroBluesBluesLink
Gregory HofmannBluesBlues2021216
Jack IvankovicBluesBlues202548
Jack WalkerBluesBlues2016149
Jake MuzzinBluesBlues
Jaxon CoverBluesBlues202635
Jayden HalbgewachsBluesBluesLink
Jiri SmejkalBluesBlues202393
Joshua KotaiBluesBlues2026102
Kashawn AitchesonBluesBlues202516
Keith KinkaidBluesBlues
Kodie CurranBluesBlues2020189Link
Landon MillerBluesBlues2024122
Linus HultstromBluesBlues201659
Luke MistelbacherBluesBlues2025208
Mat RobsonBluesBlues2019143Link
Pontus AbergBluesBluesLink
Riley DamianiBluesBlues2018171
Samuel BucekBluesBlues2022179
Shane EisermanBluesBlues2014109
Simon RyforsBluesBlues2021184
Strauss MannBluesBlues202283
Tomas CibulkaBluesBlues2026198
Tomas VomackaBluesBlues2017210
Vitali PinchukBluesBlues202638
Zdeno CharaBluesBluesLink
News




































Injuries
No Injury or Suspension.

Game Center

Golden Knights7-4-2, 16pts53Final
Blues2-8-1, 5pts

Hurricanes8-5-0, 16pts72Final
Blues2-8-1, 5pts

Canadiens4-6-0, 8ptsSun, Nov 08Savvis Center
Blues2-8-1, 5pts

Bruins5-7-0, 10ptsTue, Nov 10Savvis Center
Blues2-8-1, 5pts

Blues2-8-1, 5ptsThu, Nov 12Joe Louis Arena
Red Wings8-3-0, 16pts

Team Leaders

GOALS
Connor Brown
4
ASSISTS
Pius Suter
6
POINTS
Pius Suter
8
PLUS/MINUS
Ross Johnston
0
WINS
Darcy Kuemper
1
SV%
Tristan Jarry
0.929

Team Stats


Goals For
27
2.45 GFG
Shots For
384
34.91 Avg
Power Play Percentage
18.8%
6 GF
Offensive Zone Start
49.8%
Goals Against
41
3.73 GAA
Shots Against
378
34.36 Avg
Penalty Kill Percentage
86.8%
5 GA
Defensive Zone Start
50.2%

Injury status

Player POS Status Injury Out For Expected Return
 

St.Louis Blues Info

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

AHL Affiliation

Blues
Team NameThunderbirds
CitySpringfield
Head CoachChris Kelly
DivisionCentral Division

Team Jerseys

Blues Blues Blues
Home Away Alternate

Arena Info

StadiumSavvis Center
Capacity19,022
Attendance14,833
Season Tickets7,609

Roster Info

Active Roster21/23
Contract Limit53/50
Prospects & Player's Rights48
Reserve List101/90

Salary Cap

Total Cap Hit80,150,000$
Cap Hit Percentage77.07%
Projected Cap Space23,850,000$
Retains & Buyout0$

Finance

Team Revenue6,602,168$
Estimated Revenue55,458,211$
Estimated Expenses81,178,308$
Operating Income-25,720,097$
Bank Account485,008,022$

Tickets

Section 100100$ | 74.62%
Section 20060$ | 77.30%
Section 30035$ | 83.43%
Section 40020$ | 75.85%
Suites200$ | 93.60%

Team History

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

Entry Draft