BluesSt.Louis Blues
7-7-0, 14pts · 11th 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)C/LW/RW100.00745067846889948850818273849192180377,500,000$/1yrs
Brayden SchennC/LW/RW100.00797469777988948677807974819192179336,100,000$/4yrs
Pius SuterC/LW/RW100.00714291867387838370767975836858177291,800,000$/1yrs
Dawson MercerC/LW/RW100.00684589907788828366757975846353177234,500,000$/4yrs
Marcus JohanssonLW/RW100.00694292757986958150777270769080176344,800,000$/2yrs
Josh NorrisC/LW100.00744273828290817978737774797363176262,600,000$/2yrs
Sean KuralyC100.00825572738382887579706874728277174324,100,000$/4yrs
Connor BrownRW100.00674092787384887749727074758474174314,300,000$/4yrs
Tanner PearsonLW/RW100.00754388748183897650726971738777174324,500,000$/2yrs
Craig SmithC/LW/RW100.00764575747981927546697070738979173354,100,000$/3yrs
Victor OlofssonLW/RW100.00654089797383847840727468767666173294,200,000$/4yrs
Justin DanforthC/RW100.00764086777285797471726973736353172322,100,000$/4yrs
MacKenzie WeegarD100.00795674898094898940817795858275184315,975,000$/3yrs
Brandon MontourD100.00705766827890888940798275848272179313,500,000$/1yrs
Sean WalkerD100.00754272837686878040727083787666177304,200,000$/3yrs
Zach BogosianD100.00745570728685927540716778719282176344,400,000$/2yrs
Erik JohnsonD100.00725081718584867040636576699383174375,100,000$/1yrs
Brendan SmithD100.00716964737984877140676474698979173363,500,000$/1yrs
Scratches
Tomas NosekC/LW100.00744286738182856979676372688474171323,500,000$/4yrs
Wyatt KaiserD100.00664284837686737140656575735950171221,400,000$/2yrs
TEAM AVERAGE100.00734979797886877854737275768172176
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO OV AGE CONTRACT
Darcy Kuemper097.0078919188898988898987848881181354,500,000$/3yrs
Tristan Jarry0100.0087909178918683848490818275179305,500,000$/3yrs
Scratches
TEAM AVERAGE98.5083919183908886878789838578180
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Rod Brind'Amour7990908284951CAN541500,000$
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
1Dawson MercerBluesBlues0C/LW/RW14910198202846123019.57%1018.20011000330051.60%101.36001.49
2Pius SuterBluesBlues0C/LW/RW14612180002154152611.11%623.22235000340039.39%101.29001.25
3Marcus JohanssonBluesBlues0LW/RW1451116700203441114.71%615.9210100002069.23%001.14001.20
4Brad MarchandBluesBlues0C/LW/RW1461016-2140276314419.52%821.58123000110046.43%001.14111.05
5Brayden SchennBluesBlues0C/LW/RW147613-380274182317.07%920.8312300011049.02%010.93000.78
6Josh NorrisBluesBlues0C/LW1447117601724101716.67%115.8100000001061.54%000.79000.84
7Brandon MontourBluesBlues0D14088-16023291290.00%1724.6802200034000.00%000.57110.53
8MacKenzie WeegarBluesBlues0D14156-3140264419202.27%4028.0411200029100.00%000.43000.47
9Sean KuralyBluesBlues0C142352001521699.52%512.51000000150044.86%000.36000.46
10Sean WalkerBluesBlues0D141340801819595.26%1622.8800000023000.00%000.29000.26
11Brendan SmithBluesBlues0D140447100126810.00%1315.430000007000.00%000.29000.33
12Connor BrownBluesBlues0RW142240009317206.45%812.41000000140066.67%000.29000.45
13Erik JohnsonBluesBlues0D14033620114750.00%812.580000000000.00%000.21000.34
14Victor OlofssonBluesBlues0LW/RW14303-2005192915.79%17.8500000000066.67%000.21000.24
15Tanner PearsonBluesBlues0LW/RW1412300015305193.33%710.9700000001037.50%000.21000.39
16Justin DanforthBluesBlues0C/RW14112-20010142127.14%27.6600000000151.11%000.14000.16
17Craig SmithBluesBlues0C/LW/RW14011-10018173100.00%19.060000009000.00%000.07000.17
18Zach BogosianBluesBlues0D14011260154540.00%1516.9000000025000.00%000.07000.11
Team Total or Average2524889137257603175001442759.60%17316.47611174430002426149.25%93610796210.6622
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 KuemperBluesBlues105500.9043.286032033344152011.0002104000
2Tristan JarryBluesBlues42200.9063.01239001212750000.0000410001
Team Total or Average147700.9043.208432045471202011.00021414001
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
1BluesFlames1100000042221.00048120020203271114026132306233.33%10100.00%018137648.14%18034152.79%10021546.51%2313158201050.0%12.5%92.3%104.8LUCKY
2BluesBlackhawks1100000042221.0004812001210368171103511819200.00%40100.00%018137648.14%18034152.79%10021546.51%201122917866.7%11.1%94.3%105.4LUCKY
3BluesBlue Jackets1010000035-200.0003690010203711101603814825300.00%4175.00%018137648.14%18034152.79%10021546.51%211221916842.9%8.1%86.8%95.0Unlucky
4BluesStars1100000086221.0008162400413039111315032134214125.00%20100.00%018137648.14%18034152.79%10021546.51%201221817853.8%20.5%81.3%101.8FUN
5BluesRed Wings2110000076120.5007132000142063242217073208471200.00%40100.00%018137648.14%18034152.79%10021546.51%39224617331753.8%11.1%91.8%102.9LUCKY
6BluesOilers1000001032121.0003470010123518793349820100.00%4175.00%018137648.14%18034152.79%10021546.51%2414209201075.0%8.6%94.1%102.7DULL
7BluesKings1100000042221.00047110012103661515038274202150.00%2150.00%018137648.14%18034152.79%10021546.51%201325713675.0%11.1%94.7%105.8LUCKY
8BluesWild1100000074321.000711180023204310191404098293266.67%4175.00%018137648.14%18034152.79%10021546.51%231419816862.5%16.3%90.0%106.3FUN
9BluesMammoth1010000013-200.000123000100361313100288421400.00%20100.00%018137648.14%18034152.79%10021546.51%231318818925.0%2.8%89.3%92.1Unlucky
10BluesPenguins1010000045-100.00047110010304612171702616416100.00%2150.00%018137648.14%18034152.79%10021546.51%251717716850.0%8.7%80.8%89.5Unlucky
11BluesCanucks2020000037-400.00036910210066252120065201848800.00%9455.56%018137648.14%18034152.79%10021546.51%44254117341850.0%4.5%89.2%93.8Unlucky
12BluesCapitals1010000012-100.000112000010317141003713221400.00%10100.00%018137648.14%18034152.79%10021546.51%201121918933.3%3.2%94.6%97.8DULL
_Vs Division431000002015560.750203757007760154426250013541249013323.08%12191.67%018137648.14%18034152.79%10021546.51%87518234703554.8%13.0%88.9%101.9FUN
_Vs Conference9530001034286120.6673462961013101023239811610832981105620830620.00%28775.00%018137648.14%18034152.79%10021546.51%200118185781598157.1%10.5%90.6%101.1FUN
_Since Last GM Reset14670001049463140.500498913810161418250015217916834721737831750612.00%39976.92%018137648.14%18034152.79%10021546.51%30718229212224412453.8%9.8%90.3%100.1FUN
Total14670001049463140.500498913810161418250015217916834721737831750612.00%39976.92%018137648.14%18034152.79%10021546.51%30718229212224412453.8%9.8%90.3%100.1FUN

Puck Time
Offensive Zone 21
Neutral Zone 17
Defensive Zone 20
Puck Time
Offensive Zone Start 376
Neutral Zone Start 215
Defensive Zone Start 341
Puck Time
With Puck 30
Without Puck 29
Faceoffs
Faceoffs Won 461
Faceoffs Lost 471
Team Average Shots after League Average Shots after
1st Period 10.99.57
2nd Period 23.620.31
3rd Period 35.630.68
Overtime 35.931.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.10.64
2nd Period 2.11.65
3rd Period 3.42.67
Overtime 3.62.83
Even Strenght Goal 42
PP Goal 6
PK Goal 0
Empty Net Goal 1
Home Away
Win 61
Lost 25
Overtime Lost 00
PP Attempt 50
PP Goal 6
PK Attempt 39
PK Goal Against 9
Home
Shots For 35.7
Shots Against 33.7
Goals For 3.5
Goals Against 3.3
Hits 22.6
Shots Blocked 12.4
Pim 5.6
Cap Hit
Blues
Projected Total Cap Hit92,175,000$
Projected Cap Space3,325,000$
Retains And Buyout Cap Hit0$
Salary Cap To Date14,402,340$
Players In Salary Cap22
Contracts48/50
LTIR Players0
Blues Roster Pos Age Cap Hit 2025-26 2026-27 2027-28 2028-29 2029-30 2030-31 2031-32 2032-33
Brad Marchand C/LW/RW377,500,000$7,500,000$ UFA
Brandon Montour D313,500,000$3,500,000$ UFA
Brayden Schenn C/LW/RW336,100,000$6,100,000$ 6,100,000$ 6,100,000$ 6,100,000$ UFA
Brendan Smith D363,500,000$3,500,000$ UFA
Connor Brown RW314,300,000$4,300,000$ 4,300,000$ 4,300,000$ 4,300,000$ UFA
Craig Smith C/LW/RW354,100,000$4,100,000$ 4,100,000$ 4,100,000$ UFA
Darcy Kuemper G354,500,000$4,500,000$ 4,500,000$ 4,500,000$ UFA
Dawson Mercer C/LW/RW234,500,000$4,500,000$ 4,500,000$ 4,500,000$ 4,500,000$ RFA
Erik Johnson D375,100,000$5,100,000$ UFA
Josh Norris C/LW262,600,000$2,600,000$ 2,600,000$ RFA
Justin Danforth C/RW322,100,000$2,100,000$ 2,100,000$ 2,100,000$ 2,100,000$ UFA
MacKenzie Weegar D315,975,000$5,975,000$ 5,975,000$ 5,975,000$ UFA
Marcus Johansson LW/RW344,800,000$4,800,000$ 4,800,000$ UFA
Pius Suter C/LW/RW291,800,000$1,800,000$ UFA
Sean Kuraly C324,100,000$4,100,000$ 4,100,000$ 4,100,000$ 4,100,000$ UFA
Sean Walker D304,200,000$4,200,000$ 4,200,000$ 4,200,000$ UFA
Tanner Pearson LW/RW324,500,000$4,500,000$ 4,500,000$ UFA
Tomas Nosek C/LW323,500,000$3,500,000$ 3,500,000$ 3,500,000$ 3,500,000$ UFA
Tristan Jarry G305,500,000$5,500,000$ 5,500,000$ 5,500,000$ UFA
Victor Olofsson LW/RW294,200,000$4,200,000$ 4,200,000$ 4,200,000$ 4,200,000$ UFA
Wyatt Kaiser D221,400,000$1,400,000$ 1,400,000$ RFA
Zach Bogosian D344,400,000$4,400,000$ 4,400,000$ UFA
Non-Roster Pos Age Cap Hit 2025-26 2026-27 2027-28 2028-29 2029-30 2030-31 2031-32 2032-33
Aleksi Heimosalmi D22805,833$975,000$ RFA
Arthur Kaliyev RW241,975,000$1,975,000$ 1,975,000$ 1,975,000$ RFA
Ben McCartney LW231,200,000$1,200,000$ 1,200,000$ 1,200,000$ 1,200,000$ RFA
Cole Guttman C/LW/RW261,800,000$1,800,000$ 1,800,000$ 1,800,000$ 1,800,000$ UFA
Corey Schueneman D291,000,000$1,000,000$ 1,000,000$ UFA
Corson Ceulemans D22950,000$975,000$ 975,000$ RFA
Denton Mateychuk D20886,667$975,000$ 975,000$ RFA
Devon Levi G23975,000$975,000$ 975,000$ RFA
Eduard Sale LW20918,333$975,000$ 975,000$ RFA
Hunter Haight C21865,833$975,000$ 975,000$ RFA
Ian Moore D23925,000$975,000$ RFA
Jason Polin RW26975,000$975,000$ RFA
John Leonard LW261,500,000$1,500,000$ RFA
Josh Jacobs D291,200,000$1,200,000$ 1,200,000$ 1,200,000$ 1,200,000$ UFA
Kaapo Kahkonen G283,000,000$3,000,000$ 3,000,000$ 3,000,000$ UFA
Konsta Helenius C19975,000$975,000$ 975,000$ RFA
Kurtis MacDermid LW312,100,000$2,100,000$ 2,100,000$ 2,100,000$ UFA
Ross Johnston LW/RW311,300,000$1,300,000$ 1,300,000$ UFA
Taylor Gauthier G24975,000$975,000$ 975,000$ RFA
Tristen Robins RW231,300,000$1,300,000$ 1,300,000$ RFA
Tucker Robertson C22975,000$975,000$ 975,000$ RFA
Uvis Balinskis D28975,000$975,000$ 975,000$ UFA
Vinni Lettieri C/LW/RW301,500,000$1,500,000$ 1,500,000$ UFA
William Dufour RW23950,000$975,000$ 975,000$ RFA
William Trudeau D221,400,000$1,400,000$ 1,400,000$ RFA
Xavier Bourgault RW221,400,000$1,400,000$ 1,400,000$ RFA

Lines
Forward Lines


Brad Marchand


Brayden Schenn


Pius Suter


Josh Norris


Dawson Mercer


Marcus Johansson


Tanner Pearson


Sean Kuraly


Connor Brown


Craig Smith


Justin Danforth


Victor Olofsson

Defensive Pairings


MacKenzie Weegar


Sean Walker


Brandon Montour


Zach Bogosian


Brendan Smith


Erik Johnson

1st Power Play Unit


Brad Marchand


Brayden Schenn


Pius Suter


MacKenzie Weegar


Brandon Montour

2nd Power Play Unit


Josh Norris


Dawson Mercer


Marcus Johansson


Brandon Montour


MacKenzie Weegar

Goalies


Tristan Jarry


Darcy Kuemper

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
1BluesFlames1100000042221.00048120020203271114026132306233.33%10100.00%018137648.14%18034152.79%10021546.51%2313158201050.0%12.5%92.3%104.8LUCKY
2BluesBlackhawks1100000042221.0004812001210368171103511819200.00%40100.00%018137648.14%18034152.79%10021546.51%201122917866.7%11.1%94.3%105.4LUCKY
3BluesBlue Jackets1010000035-200.0003690010203711101603814825300.00%4175.00%018137648.14%18034152.79%10021546.51%211221916842.9%8.1%86.8%95.0Unlucky
4BluesStars1100000086221.0008162400413039111315032134214125.00%20100.00%018137648.14%18034152.79%10021546.51%201221817853.8%20.5%81.3%101.8FUN
5BluesRed Wings2110000076120.5007132000142063242217073208471200.00%40100.00%018137648.14%18034152.79%10021546.51%39224617331753.8%11.1%91.8%102.9LUCKY
6BluesOilers1000001032121.0003470010123518793349820100.00%4175.00%018137648.14%18034152.79%10021546.51%2414209201075.0%8.6%94.1%102.7DULL
7BluesKings1100000042221.00047110012103661515038274202150.00%2150.00%018137648.14%18034152.79%10021546.51%201325713675.0%11.1%94.7%105.8LUCKY
8BluesWild1100000074321.000711180023204310191404098293266.67%4175.00%018137648.14%18034152.79%10021546.51%231419816862.5%16.3%90.0%106.3FUN
9BluesMammoth1010000013-200.000123000100361313100288421400.00%20100.00%018137648.14%18034152.79%10021546.51%231318818925.0%2.8%89.3%92.1Unlucky
10BluesPenguins1010000045-100.00047110010304612171702616416100.00%2150.00%018137648.14%18034152.79%10021546.51%251717716850.0%8.7%80.8%89.5Unlucky
11BluesCanucks2020000037-400.00036910210066252120065201848800.00%9455.56%018137648.14%18034152.79%10021546.51%44254117341850.0%4.5%89.2%93.8Unlucky
12BluesCapitals1010000012-100.000112000010317141003713221400.00%10100.00%018137648.14%18034152.79%10021546.51%201121918933.3%3.2%94.6%97.8DULL
_Vs Division431000002015560.750203757007760154426250013541249013323.08%12191.67%018137648.14%18034152.79%10021546.51%87518234703554.8%13.0%88.9%101.9FUN
_Vs Conference9530001034286120.6673462961013101023239811610832981105620830620.00%28775.00%018137648.14%18034152.79%10021546.51%200118185781598157.1%10.5%90.6%101.1FUN
_Since Last GM Reset14670001049463140.500498913810161418250015217916834721737831750612.00%39976.92%018137648.14%18034152.79%10021546.51%30718229212224412453.8%9.8%90.3%100.1FUN
Total14670001049463140.500498913810161418250015217916834721737831750612.00%39976.92%018137648.14%18034152.79%10021546.51%30718229212224412453.8%9.8%90.3%100.1FUN

Puck Time
Offensive Zone 21
Neutral Zone 17
Defensive Zone 20
Puck Time
Offensive Zone Start 376
Neutral Zone Start 215
Defensive Zone Start 341
Puck Time
With Puck 30
Without Puck 29
Faceoffs
Faceoffs Won 461
Faceoffs Lost 471
Team Average Shots after League Average Shots after
1st Period 10.99.57
2nd Period 23.620.31
3rd Period 35.630.68
Overtime 35.931.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.10.64
2nd Period 2.11.65
3rd Period 3.42.67
Overtime 3.62.83
Even Strenght Goal 42
PP Goal 6
PK Goal 0
Empty Net Goal 1
Home Away
Win 61
Lost 25
Overtime Lost 00
PP Attempt 50
PP Goal 6
PK Attempt 39
PK Goal Against 9
Home
Shots For 35.7
Shots Against 33.7
Goals For 3.5
Goals Against 3.3
Hits 22.6
Shots Blocked 12.4
Pim 5.6
Schedule
DateMatchup Result Detail
Fri, Oct 10BluesMIN@BluesSTLMIN4,STL7RECAP
Sun, Oct 12BluesSTL@BluesCALSTL4,CAL2RECAP
Tue, Oct 14BluesSTL@BluesVANSTL1,VAN3RECAP
Thu, Oct 16BluesCHI@BluesSTLCHI2,STL4RECAP
Sun, Oct 19BluesDAL@BluesSTLDAL6,STL8RECAP
Wed, Oct 22BluesLOS@BluesSTLLOS2,STL4RECAP
Fri, Oct 24BluesPHO@BluesSTLPHO3,STL1RECAP
Sun, Oct 26BluesSTL@BluesDETSTL2,DET4RECAP
Tue, Oct 28BluesSTL@BluesPITSTL4,PIT5RECAP
Wed, Oct 29BluesDET@BluesSTLDET2,STL5RECAP
Fri, Oct 31BluesVAN@BluesSTLVAN4,STL2RECAP
Sun, Nov 2BluesSTL@BluesCLBSTL3,CLB5RECAP
Tue, Nov 4BluesEDM@BluesSTLEDM2,STL3 (SO)RECAP
Thu, Nov 6BluesSTL@BluesWASSTL1,WAS2RECAP
Fri, Nov 7BluesSTL@BluesBUF
Sun, Nov 9BluesSEA@BluesSTL
Wed, Nov 12BluesCAL@BluesSTL
Sat, Nov 15BluesPHI@BluesSTL
Sun, Nov 16BluesGKV@BluesSTL
Wed, Nov 19BluesSTL@BluesTOR
Fri, Nov 21BluesSTL@BluesPHI
Sun, Nov 23BluesSTL@BluesNYI
Tue, Nov 25BluesSTL@BluesNYR
Thu, Nov 27BluesSTL@BluesNJD
Sat, Nov 29BluesOTT@BluesSTL
Sun, Nov 30BluesPHO@BluesSTL
Tue, Dec 2BluesANA@BluesSTL
Fri, Dec 5BluesSTL@BluesBOS
Sun, Dec 7BluesSTL@BluesOTT
Mon, Dec 8BluesSTL@BluesMTL
Wed, Dec 10BluesBOS@BluesSTL
Fri, Dec 12BluesSTL@BluesNAS
Sat, Dec 13BluesCHI@BluesSTL
Tue, Dec 16BluesNAS@BluesSTL
Thu, Dec 18BluesWPG@BluesSTL
Fri, Dec 19BluesNYR@BluesSTL
Sun, Dec 21BluesSTL@BluesFLO
Tue, Dec 23BluesSTL@BluesTAM
Sun, Dec 28BluesNAS@BluesSTL
Tue, Dec 30BluesBUF@BluesSTL
Thu, Jan 1BluesSTL@BluesCOL
Sat, Jan 3BluesGKV@BluesSTL
Sun, Jan 4BluesMTL@BluesSTL
Thu, Jan 8BluesSTL@BluesCHI
Sat, Jan 10BluesSTL@BluesPHO
Sun, Jan 11BluesSTL@BluesGKV
Wed, Jan 14BluesCAR@BluesSTL
Sat, Jan 17BluesTAM@BluesSTL
Mon, Jan 19BluesSTL@BluesEDM
Wed, Jan 21BluesSTL@BluesWPG
Sat, Jan 24BluesSTL@BluesDAL
Sun, Jan 25BluesLOS@BluesSTL
Wed, Jan 28BluesDAL@BluesSTL
Fri, Jan 30BluesFLO@BluesSTL
Sun, Feb 1BluesCLB@BluesSTL
Tue, Feb 3BluesSTL@BluesNAS
Thu, Feb 5BluesSTL@BluesDAL
Fri, Feb 27BluesSEA@BluesSTL
Sun, Mar 1BluesNJD@BluesSTL
Mon, Mar 2BluesSTL@BluesMIN
Thu, Mar 5BluesSTL@BluesSEA
Sat, Mar 7BluesSTL@BluesSJ
Mon, Mar 9BluesSTL@BluesANA
Trade Deadline --- Trades can’t be done after this day is simulated!
Wed, Mar 11BluesNYI@BluesSTL
Fri, Mar 13BluesSTL@BluesCAR
Sat, Mar 14BluesEDM@BluesSTL
Mon, Mar 16BluesSTL@BluesWPG
Thu, Mar 19BluesSTL@BluesCAL
Sun, Mar 22BluesSTL@BluesVAN
Wed, Mar 25BluesWAS@BluesSTL
Fri, Mar 27BluesSJ @BluesSTL
Sun, Mar 29BluesTOR@BluesSTL
Tue, Mar 31BluesSTL@BluesSJ
Thu, Apr 2BluesSTL@BluesLOS
Sat, Apr 4BluesSTL@BluesANA
Mon, Apr 6BluesSTL@BluesCOL
Wed, Apr 8BluesCOL@BluesSTL
Fri, Apr 10BluesWPG@BluesSTL
Sun, Apr 12BluesSTL@BluesCHI
Tue, Apr 14BluesMIN@BluesSTL
Wed, Apr 15BluesPIT@BluesSTL
Fri, Apr 17BluesSTL@BluesPHO

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
92,175,000$ 0$ 92,175,000$ 3,325,000$

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

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000302240001000
Ticket Price100$60$35$20$200$
Attendance351853087121674246457816
Attendance PCT73.30%77.18%89.65%77.02%97.70%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
33 15024 - 78.98% 1,330,136$10,641,084$19022100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
92,175,000$ 92,175,000$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
14,480,460$ 92,175,000$ 14,402,340$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
43,894,472$ 162 482,682$ 78,194,484$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
81,348,672$ 92,175,000$ 25,494,224$ -11,959,976$
Depth Chart Rising Star Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Brad MarchandAGE:37BluesCAN
Brayden SchennAGE:33BluesCAN
Marcus JohanssonAGE:34BluesSWE
Tanner PearsonAGE:32BluesCAN
Dawson MercerAGE:23BluesCAN
Victor OlofssonAGE:29BluesSWE
Craig SmithAGE:35BluesUSA
Tomas NosekAGE:32BluesCZE
Josh NorrisAGE:26BluesUSA
Kurtis MacDermidAGE:31BluesCAN
Pius SuterAGE:29BluesCHE
Cole GuttmanAGE:26BluesUSA
Vinni LettieriAGE:30BluesUSA
John LeonardAGE:26BluesUSA
Ross JohnstonAGE:31BluesCAN
Ben McCartneyAGE:23BluesCAN
Eduard SaleAGE:20BluesCZE
Brad MarchandAGE:37BluesCAN
Brayden SchennAGE:33BluesCAN
Dawson MercerAGE:23BluesCAN
Craig SmithAGE:35BluesUSA
Sean KuralyAGE:32BluesUSA
Tomas NosekAGE:32BluesCZE
Josh NorrisAGE:26BluesUSA
Justin DanforthAGE:32BluesCAN
Pius SuterAGE:29BluesCHE
Cole GuttmanAGE:26BluesUSA
Vinni LettieriAGE:30BluesUSA
Konsta HeleniusAGE:19BluesFIN
Tucker RobertsonAGE:22BluesCAN
Hunter HaightAGE:21BluesCAN
Brad MarchandAGE:37BluesCAN
Brayden SchennAGE:33BluesCAN
Marcus JohanssonAGE:34BluesSWE
Tanner PearsonAGE:32BluesCAN
Dawson MercerAGE:23BluesCAN
Connor BrownAGE:31BluesCAN
Victor OlofssonAGE:29BluesSWE
Craig SmithAGE:35BluesUSA
Justin DanforthAGE:32BluesCAN
Arthur KaliyevAGE:24BluesUZB
Pius SuterAGE:29BluesCHE
Cole GuttmanAGE:26BluesUSA
Vinni LettieriAGE:30BluesUSA
Xavier BourgaultAGE:22BluesCAN
Ross JohnstonAGE:31BluesCAN
Tristen RobinsAGE:23BluesCAN
Jason PolinAGE:26BluesUSA
William DufourAGE:23BluesCAN

Defense #1Defense #2Goalie
MacKenzie WeegarAGE:31BluesCAN
Erik JohnsonAGE:37BluesUSA
Zach BogosianAGE:34BluesUSA
Sean WalkerAGE:30BluesCAN
Brendan SmithAGE:36BluesCAN
Brandon MontourAGE:31BluesCAN
Wyatt KaiserAGE:22BluesUSA
William TrudeauAGE:22BluesCAN
Josh JacobsAGE:29BluesUSA
Corey SchuenemanAGE:29BluesUSA
Uvis BalinskisAGE:28BluesLVA
Corson CeulemansAGE:22BluesCAN
Ian MooreAGE:23BluesUSA
Denton MateychukAGE:20BluesCAN
Aleksi HeimosalmiAGE:22BluesFIN
Tristan JarryAGE:30BluesCAN
Darcy KuemperAGE:35BluesCAN
Kaapo KahkonenAGE:28BluesFIN
Devon LeviAGE:23BluesCAN
Taylor GauthierAGE:24BluesCAN

Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6Ronde 7
2026
2027
2028
2029
2030

** 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 BenakBluesBlues202570
Adam KleberBluesBlues202447
Alexandre DoucetBluesBlues2023129
Antoine MorandBluesBlues201755Link
Anton StralmanBluesBlues
Bobby NardellaBluesBlues2019112
Brandon FortunatoBluesBlues2019174Link
Brian BoyleBluesBluesLink
Brian LashoffBluesBlues
Connor PunnettBluesBlues2024175
David RozsivalBluesBlues2025194
Denis GurianovBluesBlues
Dennis YanBluesBluesLink
Derek StepanBluesBlues
Eriks MateikoBluesBlues2024111
Ethan ProcyszynBluesBlues202479
Filip EkbergBluesBlues2025144
Gabriel CarlssonBluesBlues
Gavin BayreutherBluesBlues
Graham SwardBluesBlues2022152
Greg MoroBluesBluesLink
Gregory HofmannBluesBlues2021216
Jack IvankovicBluesBlues202548
Jack WalkerBluesBlues2016149
Jake MuzzinBluesBlues
Jayden HalbgewachsBluesBluesLink
Jiri SmejkalBluesBlues202393
Kamil BednarikBluesBlues202457
Kashawn AitchesonBluesBlues202516
Keith KinkaidBluesBlues
Kodie CurranBluesBlues2020189Link
Landon MillerBluesBlues2024122
Linus HultstromBluesBlues201659
Luke MistelbacherBluesBlues2025208
Mat RobsonBluesBlues2019143Link
Pontus AbergBluesBluesLink
Riley DamianiBluesBlues2018171
Samuel BucekBluesBlues2022179
Shane EisermanBluesBlues2014109
Simon RyforsBluesBlues2021184
Simon ZajicekBluesBlues2025176
Strauss MannBluesBlues202283
Tomas VomackaBluesBlues2017210
Zdeno CharaBluesBluesLink
Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6Ronde 7
2026
2027
2028
2029
2030

** 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 BenakBluesBlues202570
Adam KleberBluesBlues202447
Alexandre DoucetBluesBlues2023129
Antoine MorandBluesBlues201755Link
Anton StralmanBluesBlues
Bobby NardellaBluesBlues2019112
Brandon FortunatoBluesBlues2019174Link
Brian BoyleBluesBluesLink
Brian LashoffBluesBlues
Connor PunnettBluesBlues2024175
David RozsivalBluesBlues2025194
Denis GurianovBluesBlues
Dennis YanBluesBluesLink
Derek StepanBluesBlues
Eriks MateikoBluesBlues2024111
Ethan ProcyszynBluesBlues202479
Filip EkbergBluesBlues2025144
Gabriel CarlssonBluesBlues
Gavin BayreutherBluesBlues
Graham SwardBluesBlues2022152
Greg MoroBluesBluesLink
Gregory HofmannBluesBlues2021216
Jack IvankovicBluesBlues202548
Jack WalkerBluesBlues2016149
Jake MuzzinBluesBlues
Jayden HalbgewachsBluesBluesLink
Jiri SmejkalBluesBlues202393
Kamil BednarikBluesBlues202457
Kashawn AitchesonBluesBlues202516
Keith KinkaidBluesBlues
Kodie CurranBluesBlues2020189Link
Landon MillerBluesBlues2024122
Linus HultstromBluesBlues201659
Luke MistelbacherBluesBlues2025208
Mat RobsonBluesBlues2019143Link
Pontus AbergBluesBluesLink
Riley DamianiBluesBlues2018171
Samuel BucekBluesBlues2022179
Shane EisermanBluesBlues2014109
Simon RyforsBluesBlues2021184
Simon ZajicekBluesBlues2025176
Strauss MannBluesBlues202283
Tomas VomackaBluesBlues2017210
Zdeno CharaBluesBluesLink
News













































Injuries
No Injury or Suspension.

Game Center

Oilers9-3-3, 21pts23Final
Blues7-7-0, 14pts

Blues7-7-0, 14pts12Final
Capitals11-1-1, 23pts

Blues7-7-0, 14ptsFri, Nov 07HSBC Arena
Sabres7-6-0, 14pts

Kraken8-4-1, 17ptsSun, Nov 09Savvis Center
Blues7-7-0, 14pts

Flames4-9-2, 10ptsWed, Nov 12Savvis Center
Blues7-7-0, 14pts

Team Leaders

GOALS
Dawson Mercer
9
ASSISTS
Pius Suter
12
POINTS
Dawson Mercer
19
PLUS/MINUS
Dawson Mercer
8
WINS
Darcy Kuemper
5
SV%
Tristan Jarry
0.906

Team Stats


Goals For
49
3.50 GFG
Shots For
500
35.71 Avg
Power Play Percentage
12.0%
6 GF
Offensive Zone Start
52.4%
Goals Against
46
3.29 GAA
Shots Against
472
33.71 Avg
Penalty Kill Percentage
76.9%
9 GA
Defensive Zone Start
47.6%

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
Attendance15,024
Season Tickets7,609

Roster Info

Active Roster22/23
Contract Limit48/50
Prospects & Player's Rights45
Reserve List93/90

Salary Cap

Total Cap Hit92,175,000$
Cap Hit Percentage96.52%
Projected Cap Space3,325,000$
Retains & Buyout0$

Finance

Team Revenue10,641,084$
Estimated Revenue54,535,556$
Estimated Expenses92,674,944$
Operating Income-38,139,388$
Bank Account25,494,224$

Tickets

Section 100100$ | 73.30%
Section 20060$ | 77.18%
Section 30035$ | 89.65%
Section 40020$ | 77.02%
Suites200$ | 97.70%

Team History

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

Entry Draft