BluesSt. Louis Blues
40-33-8, 88pts · 10th in Western Conference
Roster
# Player POS CON HT WT Age Date Of Birth POB Draft Contract
0Vladimir TarasenkoRW100% 6' 0" 22528December 13, 1991BluesRUS20107,500,000$/4yrs
0Michael GrabnerRW100% 6' 1" 18832October 05, 1987BluesAUT20063,500,000$/1yrs
0Sammy BlaisLW/RW100% 6' 2" 20523June 17, 1996BluesCAN20141,000,000$/1yrs
0Robby FabbriC/LW100% 5' 10" 19024January 22, 1996BluesCAN2014900,000$/1yrs
0Robert ThomasC/RW100% 6' 0" 18820July 02, 1999BluesCAN2017925,000$/2yrs
0Alexander SteenLW100% 6' 0" 21136March 01, 1984BluesCAN20025,750,000$/2yrs
0Tyler BozakC100% 6' 1" 19934March 19, 1986BluesCAN-5,000,000$/2yrs
0Brayden SchennC/W100% 6' 1" 20028August 22, 1991BluesCAN20095,125,000$/1yrs
0Jaden SchwartzLW100% 5' 10" 19027June 25, 1992BluesCAN20105,350,000$/2yrs
0Oskar SundqvistC100% 6' 3" 20926March 23, 1994BluesSWE20122,700,000$/4yrs
0Joonas DonskoiLW/RW100% 6' 0" 19027April 13, 1992BluesFIN20103,100,000$/3yrs
0Ivan BarbashevC/LW100% 6' 0" 18724December 14, 1995BluesRUS20141,475,000$/2yrs
0Jay BouwmeesterD100% 6' 4" 20636September 27, 1983BluesCAN20023,250,000$/1yrs
0Alex PietrangeloD100% 6' 3" 21030January 18, 1990BluesCAN20086,500,000$/1yrs
0Carl GunnarssonD100% 6' 2" 19833November 09, 1986BluesSWE20071,750,000$/2yrs
0Colton ParaykoD100% 6' 6" 23026May 12, 1993BluesCAN20125,500,000$/3yrs
0Joel EdmundsonD100% 6' 4" 21526June 28, 1993BluesCAN20113,100,000$/1yrs
0Vince DunnD100% 6' 0" 20323October 29, 1996BluesCAN2015722,500$/1yrs
Scratches
0Vladimir SobotkaC/LW100% 5' 11" 18932July 02, 1987BluesCZE20053,500,000$/1yrs
0Robert BortuzzoD100% 6' 4" 21631March 18, 1989BluesCAN20071,375,000$/3yrs
# Goalie Pos Condition HT WT Age Date Of Birth POB Draft Contract
0Jake AllenG100% 6' 2" 20329August 07, 1990BluesCAN20084,500,000$/2yrs
0Jordan BinningtonG97% 6' 1" 17426July 11, 1993BluesCAN20114,400,000$/2yrs
Scratches
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Craig Berube80928585807469CAN5333,800,000$
General Manager
Olivier Verdon
Player Stats
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPM PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Vladimir TarasenkoBluesBlues0RW81404080838014434510127111.59%719.018172524100096138.10%12600001.0418
2Alex PietrangeloBluesBlues0D81115869334091165421096.67%11023.2071421213000172310.00%000100.7300
3Brayden SchennBluesBlues0C/LW/RW81263561-106751562496917110.44%1316.3991322237000114351.44%173200100.9208
4Jaden SchwartzBluesBlues0LW812431556120612287316610.53%1219.578816240000824238.68%21200000.6917
5Tyler BozakBluesBlues0C81133548122006515849978.23%717.9361117194101623252.52%188500000.6600
6Vince DunnBluesBlues0D81133144-13361050100316913.00%7319.40651122100052320.00%000000.5600
7Joonas DonskoiBluesBlues0LW/RW81162541-64011200661488.00%814.313101316800004034.67%7500100.7113
8Michael GrabnerBluesBlues0RW72152338-64018181631378.29%1013.4618913600001035.29%6800000.7800
9Colton ParaykoBluesBlues0D7272734661516610132546.93%9521.46336129000127110.00%000000.4400
10Sammy BlaisBluesBlues0LW/RW81132033-9320121160451028.13%114.163811180000192147.44%7800000.5811
11Joel EdmundsonBluesBlues0D817263321151524953244613.21%10718.7914556011183010.00%000000.4300
12Alexander SteenBluesBlues0LW8113162908062124399010.48%2513.96022260002820044.68%9400000.5100
13Jay BouwmeesterBluesBlues0D81422266200716218416.45%10619.0212391000231000.00%000000.3400
14Oskar SundqvistBluesBlues0C81121325-6300146148461058.11%2115.0700000002582148.70%173700000.4100
15Ivan BarbashevBluesBlues0C/LW811192062158912529738.80%59.95000500002248.34%72200000.5000
16Robert BortuzzoBluesBlues0D6641317171517336132211.11%6916.440001000103010.00%000000.3100
17Robert ThomasBluesBlues0C/RW8177142201555135112.73%111.83101310001290142.86%7000000.2900
18Vladimir SobotkaBluesBlues0C/LW562352220614514414.44%411.550000000431046.43%25200000.1500
19Carl GunnarssonBluesBlues0D26235-680221561113.33%2716.58000100045100.00%000000.2300
20Robby FabbriBluesBlues0C/LW27112-24010294113.45%213.8400042000171050.00%4400000.1100
Team Total or Average1453241438679-4609451781257977718159.34%70316.445710516222231121834381949.39%709500300.57427
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
1Jordan BinningtonBluesBlues56262530.9052.7833088315316090240.687165525624
2Jake AllenBluesBlues2814750.9002.96154341767630000.600102655201
Team Total or Average84403280.9032.83485112422923720240.654268180825
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
1BluesBruins20100001811-310.250815230034106425181946731203811327.27%10370.00%01526295451.66%1331279047.71%647129749.88%46305217261238.5%12.5%83.6%96.1FUN
2BluesAvalanche41300000510-520.250591410104092303329014326367913215.38%18288.89%01526295451.66%1331279047.71%647129749.88%835510430522427.3%5.4%93.0%98.4DULL
3BluesMaple Leafs2100000154130.75051015011130471810193722016474125.00%7185.71%01526295451.66%1331279047.71%647129749.88%46325215251257.1%10.6%94.4%105.1LUCKY
4BluesCanucks31200000710-320.33371320001240842333280742022651317.69%11281.82%01526295451.66%1331279047.71%647129749.88%72496923371842.9%8.3%86.5%94.8Unlucky
5BluesFlyers2200000062441.000612180023106717252505412834500.00%40100.00%01526295451.66%1331279047.71%647129749.88%52384313231175.0%9.0%96.3%105.3LUCKY
6BluesPredators40400000816-800.00081523001520124363553012536327816318.75%12375.00%01526295451.66%1331279047.71%647129749.88%97669230502527.8%6.5%87.2%93.7Unlucky
7BluesPenguins2110000077020.5007132000133066222618071141042500.00%50100.00%01526295451.66%1331279047.71%647129749.88%46314913241250.0%10.6%90.1%100.7FUN
8BluesCapitals2200000084441.00081321002240752527230702123423133.33%9277.78%01526295451.66%1331279047.71%647129749.88%44304914251277.8%10.7%94.3%105.0LUCKY
9BluesDucks32000100117450.8331121320064109135332217922256514321.43%10190.00%01526295451.66%1331279047.71%647129749.88%77536622381957.1%12.1%91.1%103.2Unlucky
10BluesJets421000011312150.625132336004630104372640413034308112216.67%15286.67%01526295451.66%1331279047.71%647129749.88%905910029532752.4%12.5%90.8%103.3FUN
11BluesStars514000001015-520.2001017271043301676354500146383611510330.00%17664.71%01526295451.66%1331279047.71%647129749.88%1248611037653343.8%6.0%89.7%95.7Unlucky
12BluesSabres22000000113841.00011213200623086342527040916469222.22%30100.00%01526295451.66%1331279047.71%647129749.88%57423713251375.0%12.8%92.5%105.3LUCKY
13BluesFlames31101000108240.66710172700261110021433511012421788112.50%8362.50%01526295451.66%1331279047.71%647129749.88%71507021391964.3%10.0%92.1%102.1LUCKY
14BluesDevils2100001075241.0007101700402280361331462181440500.00%70100.00%01526295451.66%1331279047.71%647129749.88%44315512241258.3%8.8%91.9%100.7DULL
15BluesBlackhawks420010011715270.8751732490047511383156495115484411720735.00%20480.00%01526295451.66%1331279047.71%647129749.88%97659529522647.6%12.3%87.0%99.3FUN
16BluesHurricanes2110000077020.50071320004120552313190581422417228.57%11463.64%01526295451.66%1331279047.71%647129749.88%48334614251262.5%12.7%87.9%100.7FUN
17BluesKings30101001910-130.500918270043129832333158831306112541.67%13192.31%01526295451.66%1331279047.71%647129749.88%75517322371830.8%9.2%88.6%97.8FUN
18BluesCanadiens2110000078-120.50071017004210571528140722485910330.00%4175.00%01526295451.66%1331279047.71%647129749.88%45304815261236.4%12.3%88.9%101.2FUN
19BluesOilers32000100128450.8331223350056101294554300772325718112.50%10190.00%01526295451.66%1331279047.71%647129749.88%72496621402161.1%9.3%89.6%98.9FUN
20BluesIslanders2200000093641.0009172600621071372311039118429333.33%30100.00%01526295451.66%1331279047.71%647129749.88%55393813261466.7%12.7%92.3%105.0LUCKY
21BluesBlue Jackets2110000045-120.5004711011120721632240521414429222.22%6266.67%01526295451.66%1331279047.71%647129749.88%48344615251240.0%5.6%90.4%95.9Unlucky
22BluesPanthers2110000066020.50061117003120561822160652218454125.00%90100.00%01526295451.66%1331279047.71%647129749.88%41275215261245.5%10.7%90.8%101.5FUN
23BluesCoyotes30300000411-700.0004812001120923235250822216547114.29%8275.00%01526295451.66%1331279047.71%647129749.88%75516621381925.0%4.3%86.6%90.9Unlucky
24BluesSenators2110000064220.50061117013120691721310551224415240.00%11281.82%01526295451.66%1331279047.71%647129749.88%47324614251266.7%8.7%92.7%101.4DULL
25BluesWild421000011412250.62514233700734012742424161063222868225.00%11372.73%11526295451.66%1331279047.71%647129749.88%101729128522557.1%11.0%88.7%99.7FUN
26BluesRangers2200000084441.00081422012240582120170651612416233.33%60100.00%01526295451.66%1331279047.71%647129749.88%45315014241260.0%13.8%93.8%107.6LUCKY
27BluesRed Wings2020000028-600.0002460000207516293005528440700.00%2150.00%01526295451.66%1331279047.71%647129749.88%52384113261322.2%2.7%85.5%88.1Unlucky
28BluesLightning2010001056-120.500571210310153192013668281743500.00%60100.00%01526295451.66%1331279047.71%647129749.88%44315415251245.5%9.4%91.2%100.6LUCKY
29BluesSharks31200000811-320.333815231023309731293708926127710220.00%6350.00%01526295451.66%1331279047.71%647129749.88%73537019351842.9%8.2%87.6%95.9Unlucky
30BluesGolden Knights3210000099040.66791625004320852233300812736737228.57%7185.71%01526295451.66%1331279047.71%647129749.88%74516420402146.7%10.6%88.9%99.5FUN
_Vs Division25813010036780-13210.4206711918620212421175223924626215765214200556791924.05%932078.49%11526295451.66%1331279047.71%647129749.88%59540559418532516244.4%8.9%89.5%98.5Unlucky
_Vs Conference49172303204137154-17460.469137250387304652364152848053950022143640938711001583522.15%1663479.52%11526295451.66%1331279047.71%647129749.88%1188817114335863331845.9%9.0%89.3%98.2FUN
_Since Last GM Reset813533032262432412880.543243438681449178697257983989183739240170362117832625721.76%2695081.41%11526295451.66%1331279047.71%647129749.88%195413511909592104052149.3%9.4%90.0%99.4FUN
Total813533032262432412880.543243438681449178697257983989183739240170362117832625721.76%2695081.41%11526295451.66%1331279047.71%647129749.88%195413511909592104052149.3%9.4%90.0%99.4FUN

Puck Time
Offensive Zone 24
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 2954
Neutral Zone Start 1297
Defensive Zone Start 2790
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 3504
Faceoffs Lost 3537
Team Average Shots after League Average Shots after
1st Period 10.49.57
2nd Period 21.420.31
3rd Period 31.730.68
Overtime 32.231.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.10.64
2nd Period 2.11.65
3rd Period 2.92.67
Overtime 3.02.83
Even Strenght Goal 181
PP Goal 57
PK Goal 1
Empty Net Goal 4
Home Away
Win 1921
Lost 2013
Overtime Lost 26
PP Attempt 262
PP Goal 57
PK Attempt 269
PK Goal Against 50
Home
Shots For 31.8
Shots Against 29.6
Goals For 3.0
Goals Against 3.0
Hits 22.0
Shots Blocked 8.7
Pim 7.7
Cap Hit
Blues
Projected Total Cap Hit77,225,580$
Projected Cap Space4,274,420$
Retains And Buyout Cap Hit0$
Salary Cap To Date76,809,733$
Players In Salary Cap25
LTIR Players0
Blues Roster Pos Age Cap Hit 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27
Alex Pietrangelo D306,500,000$7,500,000$UFA
Alexander Steen LW365,750,000$5,750,000$5,750,000$UFA
Brayden SchennC/LW/RW285,125,000$5,125,000$UFA
Carl GunnarssonD331,750,000$1,750,000$1,750,000$UFA
Colton ParaykoD265,500,000$5,500,000$5,500,000$5,500,000$UFA
Ivan Barbashev C/LW241,475,000$1,475,000$1,475,000$ RFA
Jaden SchwartzLW275,350,000$5,350,000$5,350,000$UFA
Jake AllenG294,500,000$4,350,000$4,350,000$UFA
Jay Bouwmeester D363,250,000$3,250,000$UFA
Joel EdmundsonD263,100,000$3,100,000$UFA
Joonas DonskoiLW/RW273,100,000$3,100,000$3,100,000$3,100,000$UFA
Jordan BinningtonG264,400,000$4,400,000$4,400,000$UFA
Michael Grabner RW323,500,000$3,500,000$UFA
Oskar SundqvistC262,700,000$2,700,000$2,700,000$2,700,000$2,700,000$UFA
Robby Fabbri C/LW24900,000$900,000$ RFA
Robert BortuzzoD311,375,000$1,375,000$1,375,000$1,375,000$UFA
Robert Thomas C/RW20925,000$925,000$ 925,000$ RFA
Sammy Blais LW/RW231,000,000$1,000,000$ RFA
Tyler Bozak C345,000,000$5,000,000$5,000,000$UFA
Vince Dunn D23722,500$722,500$ RFA
Vladimir SobotkaC/LW323,500,000$3,500,000$UFA
Vladimir TarasenkoRW287,500,000$7,500,000$7,500,000$7,500,000$7,500,000$UFA
Non-Roster Pos Age Cap Hit 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27
Adam Musil C23732,500$732,500$ RFA
Alexei Toropchenko RW20850,000$850,000$ 850,000$ 850,000$ RFA
Austin Poganski RW24750,000$750,000$ RFA
Conner Bleackley C24750,000$750,000$ RFA
Erik Foley LW22925,000$925,000$ 925,000$ RFA
Evan Fitzpatrick G22770,000$770,000$ 770,000$ RFA
Hunter Miska G24700,000$700,000$ RFA
Isac Lundestrom C20925,000$925,000$ 925,000$ RFA
Jacob MacDonald D27750,000$750,000$ UFA
Jake Walman D24925,000$925,000$ RFA
Jordan Kyrou C/RW21750,000$750,000$ 750,000$ RFA
Jordan Schmaltz D26700,000$700,000$ RFA
Klim Kostin C/LW/RW20895,000$895,000$ 895,000$ RFA
Mackenzie MacEachern LW260$750,000$ RFA
Matt Tennyson D29700,000$700,000$ 700,000$ UFA
Mitch Reinke D24750,000$750,000$ RFA
Nate Prosser D33700,000$700,000$ 700,000$ UFA
Niko Mikkola D23850,000$850,000$ RFA
Nolan Stevens C23750,000$750,000$ RFA
Pontus Holmberg C/LW21700,000$700,000$ RFA
Tage Thompson LW/RW22925,000$925,000$ RFA
Tanner Kaspick C22750,000$750,000$ 750,000$ RFA
Tobias Bjornfot D18925,000$925,000$ 925,000$ 925,000$ RFA
Ville Husso G250$700,000$ RFA
Zach Sanford LW25425,000$1,500,000$1,500,000$ RFA

Lines
Forward Lines


Jaden Schwartz


Tyler Bozak


Vladimir Tarasenko


Sammy Blais


Brayden Schenn


Joonas Donskoi


Robby Fabbri


Oskar Sundqvist


Michael Grabner


Alexander Steen


Ivan Barbashev


Robert Thomas

Defensive Pairings


Carl Gunnarsson


Alex Pietrangelo


Joel Edmundson


Colton Parayko


Vince Dunn


Jay Bouwmeester

1st Power Play Unit


Jaden Schwartz


Brayden Schenn


Vladimir Tarasenko


Vince Dunn


Alex Pietrangelo

2nd Power Play Unit


Sammy Blais


Tyler Bozak


Joonas Donskoi


Colton Parayko


Jay Bouwmeester

Goalies


Jordan Binnington


Jake Allen

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
1BluesBruins20100001811-310.250815230034106425181946731203811327.27%10370.00%01526295451.66%1331279047.71%647129749.88%46305217261238.5%12.5%83.6%96.1FUN
2BluesAvalanche41300000510-520.250591410104092303329014326367913215.38%18288.89%01526295451.66%1331279047.71%647129749.88%835510430522427.3%5.4%93.0%98.4DULL
3BluesMaple Leafs2100000154130.75051015011130471810193722016474125.00%7185.71%01526295451.66%1331279047.71%647129749.88%46325215251257.1%10.6%94.4%105.1LUCKY
4BluesCanucks31200000710-320.33371320001240842333280742022651317.69%11281.82%01526295451.66%1331279047.71%647129749.88%72496923371842.9%8.3%86.5%94.8Unlucky
5BluesFlyers2200000062441.000612180023106717252505412834500.00%40100.00%01526295451.66%1331279047.71%647129749.88%52384313231175.0%9.0%96.3%105.3LUCKY
6BluesPredators40400000816-800.00081523001520124363553012536327816318.75%12375.00%01526295451.66%1331279047.71%647129749.88%97669230502527.8%6.5%87.2%93.7Unlucky
7BluesPenguins2110000077020.5007132000133066222618071141042500.00%50100.00%01526295451.66%1331279047.71%647129749.88%46314913241250.0%10.6%90.1%100.7FUN
8BluesCapitals2200000084441.00081321002240752527230702123423133.33%9277.78%01526295451.66%1331279047.71%647129749.88%44304914251277.8%10.7%94.3%105.0LUCKY
9BluesDucks32000100117450.8331121320064109135332217922256514321.43%10190.00%01526295451.66%1331279047.71%647129749.88%77536622381957.1%12.1%91.1%103.2Unlucky
10BluesJets421000011312150.625132336004630104372640413034308112216.67%15286.67%01526295451.66%1331279047.71%647129749.88%905910029532752.4%12.5%90.8%103.3FUN
11BluesStars514000001015-520.2001017271043301676354500146383611510330.00%17664.71%01526295451.66%1331279047.71%647129749.88%1248611037653343.8%6.0%89.7%95.7Unlucky
12BluesSabres22000000113841.00011213200623086342527040916469222.22%30100.00%01526295451.66%1331279047.71%647129749.88%57423713251375.0%12.8%92.5%105.3LUCKY
13BluesFlames31101000108240.66710172700261110021433511012421788112.50%8362.50%01526295451.66%1331279047.71%647129749.88%71507021391964.3%10.0%92.1%102.1LUCKY
14BluesDevils2100001075241.0007101700402280361331462181440500.00%70100.00%01526295451.66%1331279047.71%647129749.88%44315512241258.3%8.8%91.9%100.7DULL
15BluesBlackhawks420010011715270.8751732490047511383156495115484411720735.00%20480.00%01526295451.66%1331279047.71%647129749.88%97659529522647.6%12.3%87.0%99.3FUN
16BluesHurricanes2110000077020.50071320004120552313190581422417228.57%11463.64%01526295451.66%1331279047.71%647129749.88%48334614251262.5%12.7%87.9%100.7FUN
17BluesKings30101001910-130.500918270043129832333158831306112541.67%13192.31%01526295451.66%1331279047.71%647129749.88%75517322371830.8%9.2%88.6%97.8FUN
18BluesCanadiens2110000078-120.50071017004210571528140722485910330.00%4175.00%01526295451.66%1331279047.71%647129749.88%45304815261236.4%12.3%88.9%101.2FUN
19BluesOilers32000100128450.8331223350056101294554300772325718112.50%10190.00%01526295451.66%1331279047.71%647129749.88%72496621402161.1%9.3%89.6%98.9FUN
20BluesIslanders2200000093641.0009172600621071372311039118429333.33%30100.00%01526295451.66%1331279047.71%647129749.88%55393813261466.7%12.7%92.3%105.0LUCKY
21BluesBlue Jackets2110000045-120.5004711011120721632240521414429222.22%6266.67%01526295451.66%1331279047.71%647129749.88%48344615251240.0%5.6%90.4%95.9Unlucky
22BluesPanthers2110000066020.50061117003120561822160652218454125.00%90100.00%01526295451.66%1331279047.71%647129749.88%41275215261245.5%10.7%90.8%101.5FUN
23BluesCoyotes30300000411-700.0004812001120923235250822216547114.29%8275.00%01526295451.66%1331279047.71%647129749.88%75516621381925.0%4.3%86.6%90.9Unlucky
24BluesSenators2110000064220.50061117013120691721310551224415240.00%11281.82%01526295451.66%1331279047.71%647129749.88%47324614251266.7%8.7%92.7%101.4DULL
25BluesWild421000011412250.62514233700734012742424161063222868225.00%11372.73%11526295451.66%1331279047.71%647129749.88%101729128522557.1%11.0%88.7%99.7FUN
26BluesRangers2200000084441.00081422012240582120170651612416233.33%60100.00%01526295451.66%1331279047.71%647129749.88%45315014241260.0%13.8%93.8%107.6LUCKY
27BluesRed Wings2020000028-600.0002460000207516293005528440700.00%2150.00%01526295451.66%1331279047.71%647129749.88%52384113261322.2%2.7%85.5%88.1Unlucky
28BluesLightning2010001056-120.500571210310153192013668281743500.00%60100.00%01526295451.66%1331279047.71%647129749.88%44315415251245.5%9.4%91.2%100.6LUCKY
29BluesSharks31200000811-320.333815231023309731293708926127710220.00%6350.00%01526295451.66%1331279047.71%647129749.88%73537019351842.9%8.2%87.6%95.9Unlucky
30BluesGolden Knights3210000099040.66791625004320852233300812736737228.57%7185.71%01526295451.66%1331279047.71%647129749.88%74516420402146.7%10.6%88.9%99.5FUN
_Vs Division25813010036780-13210.4206711918620212421175223924626215765214200556791924.05%932078.49%11526295451.66%1331279047.71%647129749.88%59540559418532516244.4%8.9%89.5%98.5Unlucky
_Vs Conference49172303204137154-17460.469137250387304652364152848053950022143640938711001583522.15%1663479.52%11526295451.66%1331279047.71%647129749.88%1188817114335863331845.9%9.0%89.3%98.2FUN
_Since Last GM Reset813533032262432412880.543243438681449178697257983989183739240170362117832625721.76%2695081.41%11526295451.66%1331279047.71%647129749.88%195413511909592104052149.3%9.4%90.0%99.4FUN
Total813533032262432412880.543243438681449178697257983989183739240170362117832625721.76%2695081.41%11526295451.66%1331279047.71%647129749.88%195413511909592104052149.3%9.4%90.0%99.4FUN

Puck Time
Offensive Zone 24
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 2954
Neutral Zone Start 1297
Defensive Zone Start 2790
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 3504
Faceoffs Lost 3537
Team Average Shots after League Average Shots after
1st Period 10.49.57
2nd Period 21.420.31
3rd Period 31.730.68
Overtime 32.231.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.10.64
2nd Period 2.11.65
3rd Period 2.92.67
Overtime 3.02.83
Even Strenght Goal 181
PP Goal 57
PK Goal 1
Empty Net Goal 4
Home Away
Win 1921
Lost 2013
Overtime Lost 26
PP Attempt 262
PP Goal 57
PK Attempt 269
PK Goal Against 50
Home
Shots For 31.8
Shots Against 29.6
Goals For 3.0
Goals Against 3.0
Hits 22.0
Shots Blocked 8.7
Pim 7.7
Schedule
DateMatchup Result Detail
Wed, Oct 2BluesWSH@BluesSTLWSH2,STL4RECAP
Sat, Oct 5BluesDAL@BluesSTLDAL4,STL1RECAP
Mon, Oct 7BluesSTL@BluesTORSTL3,TOR4 (SO)RECAP
Thu, Oct 10BluesSTL@BluesOTTSTL3,OTT4RECAP
Sat, Oct 12BluesSTL@BluesMTLSTL6,MTL4RECAP
Mon, Oct 14BluesSTL@BluesNYISTL3,NYI2RECAP
Thu, Oct 17BluesVAN@BluesSTLVAN4,STL1RECAP
Sat, Oct 19BluesMTL@BluesSTLMTL4,STL1RECAP
Mon, Oct 21BluesCOL@BluesSTLCOL3,STL1RECAP
Thu, Oct 24BluesLAK@BluesSTLLAK2,STL3 (OT)RECAP
Sat, Oct 26BluesSTL@BluesBOSSTL5,BOS6 (SO)RECAP
Sun, Oct 27BluesSTL@BluesDETSTL1,DET4RECAP
Wed, Oct 30BluesMIN@BluesSTLMIN1,STL4RECAP
Fri, Nov 1BluesCBJ@BluesSTLCBJ5,STL2RECAP
Sat, Nov 2BluesSTL@BluesMINSTL2,MIN3RECAP
Tue, Nov 5BluesSTL@BluesVANSTL2,VAN3RECAP
Wed, Nov 6BluesSTL@BluesEDMSTL5,EDM6 (OT)RECAP
Sat, Nov 9BluesSTL@BluesCGYSTL6,CGY4RECAP
Tue, Nov 12BluesARI@BluesSTLARI4,STL1RECAP
Fri, Nov 15BluesSTL@BluesCBJSTL2,CBJ0RECAP
Sat, Nov 16BluesANA@BluesSTLANA1,STL5RECAP
Tue, Nov 19BluesTBL@BluesSTLTBL4,STL2RECAP
Thu, Nov 21BluesCGY@BluesSTLCGY2,STL3 (OT)RECAP
Sat, Nov 23BluesNSH@BluesSTLNSH5,STL2RECAP
Mon, Nov 25BluesSTL@BluesNSHSTL1,NSH4RECAP
Wed, Nov 27BluesSTL@BluesTBLSTL3,TBL2 (SO)RECAP
Fri, Nov 29BluesSTL@BluesDALSTL1,DAL2RECAP
Sat, Nov 30BluesPIT@BluesSTLPIT6,STL4RECAP
Mon, Dec 2BluesSTL@BluesCHISTL6,CHI5 (OT)RECAP
Wed, Dec 4BluesSTL@BluesPITSTL3,PIT1RECAP
Sat, Dec 7BluesTOR@BluesSTLTOR0,STL2RECAP
Tue, Dec 10BluesSTL@BluesBUFSTL6,BUF1RECAP
Thu, Dec 12BluesVGK@BluesSTLVGK5,STL3RECAP
Sat, Dec 14BluesCHI@BluesSTLCHI4,STL5RECAP
Mon, Dec 16BluesCOL@BluesSTLCOL1,STL3RECAP
Wed, Dec 18BluesEDM@BluesSTLEDM1,STL4RECAP
Sat, Dec 21BluesSTL@BluesSJSSTL3,SJS2RECAP
Mon, Dec 23BluesSTL@BluesLAKSTL4,LAK5 (SO)RECAP
Fri, Dec 27BluesSTL@BluesWPGSTL5,WPG3RECAP
Sun, Dec 29BluesWPG@BluesSTLWPG4,STL3 (SO)RECAP
Tue, Dec 31BluesSTL@BluesARISTL1,ARI2RECAP
Thu, Jan 2BluesSTL@BluesCOLSTL1,COL3RECAP
Sat, Jan 4BluesSTL@BluesVGKSTL3,VGK2RECAP
Tue, Jan 7BluesSJS@BluesSTLSJS5,STL3RECAP
Thu, Jan 9BluesBUF@BluesSTLBUF2,STL5RECAP
Sat, Jan 11BluesNYR@BluesSTLNYR4,STL5RECAP
Mon, Jan 13BluesANA@BluesSTLANA1,STL2RECAP
Wed, Jan 15BluesPHI@BluesSTLPHI1,STL2RECAP
Sat, Jan 18BluesSTL@BluesCOLSTL0,COL3RECAP
Mon, Jan 27BluesSTL@BluesVANSTL4,VAN3RECAP
Tue, Jan 28BluesSTL@BluesCGYSTL1,CGY2RECAP
Fri, Jan 31BluesSTL@BluesEDMSTL3,EDM1RECAP
Sat, Feb 1BluesSTL@BluesWPGSTL4,WPG3RECAP
Tue, Feb 4BluesCAR@BluesSTLCAR4,STL2RECAP
Thu, Feb 6BluesWPG@BluesSTLWPG2,STL1RECAP
Sat, Feb 8BluesDAL@BluesSTLDAL1,STL3RECAP
Tue, Feb 11BluesSTL@BluesANASTL4,ANA5 (OT)RECAP
Thu, Feb 13BluesSTL@BluesVGKSTL3,VGK2RECAP
Sat, Feb 15BluesNSH@BluesSTLNSH3,STL2RECAP
Sun, Feb 16BluesSTL@BluesNSHSTL3,NSH4RECAP
Tue, Feb 18BluesNJD@BluesSTLNJD2,STL3 (SO)RECAP
Thu, Feb 20BluesARI@BluesSTLARI5,STL2RECAP
Fri, Feb 21BluesSTL@BluesDALSTL2,DAL4RECAP
Sun, Feb 23BluesSTL@BluesMINSTL4,MIN5 (SO)RECAP
Trade Deadline --- Trades cant be done after this day is simulated!
Tue, Feb 25BluesCHI@BluesSTLCHI4,STL3 (SO)RECAP
Thu, Feb 27BluesNYI@BluesSTLNYI1,STL6RECAP
Sat, Feb 29BluesDAL@BluesSTLDAL4,STL3RECAP
Tue, Mar 3BluesSTL@BluesNYRSTL3,NYR0RECAP
Fri, Mar 6BluesSTL@BluesNJDSTL4,NJD3RECAP
Sun, Mar 8BluesSTL@BluesCHISTL3,CHI2RECAP
Tue, Mar 10BluesFLA@BluesSTLFLA2,STL4RECAP
Fri, Mar 13BluesSJS@BluesSTLSJS4,STL2RECAP
Sun, Mar 15BluesOTT@BluesSTLOTT0,STL3RECAP
Tue, Mar 17BluesSTL@BluesPHISTL4,PHI1RECAP
Thu, Mar 19BluesSTL@BluesCARSTL5,CAR3RECAP
Sat, Mar 21BluesSTL@BluesFLASTL2,FLA4RECAP
Tue, Mar 24BluesSTL@BluesWSHSTL4,WSH2RECAP
Fri, Mar 27BluesLAK@BluesSTLLAK3,STL2RECAP
Sun, Mar 29BluesMIN@BluesSTLMIN3,STL4RECAP
Tue, Mar 31BluesDET@BluesSTLDET4,STL1RECAP
Thu, Apr 2BluesBOS@BluesSTLBOS5,STL3RECAP
Sat, Apr 4BluesSTL@BluesCOL

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
80,722,500$ 0$ 77,225,580$ 4,274,420$

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

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000300040001150
Ticket Price160$115$80$50$220$
Attendance1728351499218535712642435782
Attendance PCT70.26%73.13%69.40%77.09%75.89%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 13910 - 72.64% 2,240,717$91,869,394$1915095

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
80,722,500$ 79,872,500$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
84,454,728$ 415,847$ 76,809,733$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 454,422$ 454,422$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
481,130$ 77,225,580$ 115,669,191$ 115,188,061$
Depth Chart Rising Star Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Alexander SteenAGE:36BluesCAN
Jaden SchwartzAGE:27BluesCAN
Brayden SchennAGE:28BluesCAN
Vladimir SobotkaAGE:32BluesCZE
Joonas DonskoiAGE:27BluesFIN
Zach SanfordAGE:25BluesUSA
Ivan BarbashevAGE:24BluesRUS
Sammy BlaisAGE:23BluesCAN
Tage ThompsonAGE:22BluesUSA
Erik FoleyAGE:22BluesUSA
Robby FabbriAGE:24BluesCAN
Klim KostinAGE:20BluesRUS
Mackenzie MacEachernAGE:26BluesUSA
Pontus HolmbergAGE:21BluesSWE
Brayden SchennAGE:28BluesCAN
Tyler BozakAGE:34BluesCAN
Vladimir SobotkaAGE:32BluesCZE
Oskar SundqvistAGE:26BluesSWE
Ivan BarbashevAGE:24BluesRUS
Robert ThomasAGE:20BluesCAN
Isac LundestromAGE:20BluesSWE
Robby FabbriAGE:24BluesCAN
Klim KostinAGE:20BluesRUS
Jordan KyrouAGE:21BluesCAN
Nolan StevensAGE:23BluesCAN
Tanner KaspickAGE:22BluesCAN
Conner BleackleyAGE:24BluesCAN
Adam MusilAGE:23BluesCAN
Pontus HolmbergAGE:21BluesSWE
Vladimir TarasenkoAGE:28BluesRUS
Brayden SchennAGE:28BluesCAN
Michael GrabnerAGE:32BluesAUT
Joonas DonskoiAGE:27BluesFIN
Sammy BlaisAGE:23BluesCAN
Robert ThomasAGE:20BluesCAN
Tage ThompsonAGE:22BluesUSA
Klim KostinAGE:20BluesRUS
Alexei ToropchenkoAGE:20BluesRUS
Austin PoganskiAGE:24BluesUSA
Jordan KyrouAGE:21BluesCAN

Defense #1Defense #2Goalie
Alex PietrangeloAGE:30BluesCAN
Colton ParaykoAGE:26BluesCAN
Jay BouwmeesterAGE:36BluesCAN
Joel EdmundsonAGE:26BluesCAN
Carl GunnarssonAGE:33BluesSWE
Robert BortuzzoAGE:31BluesCAN
Tobias BjornfotAGE:18BluesSWE
Jake WalmanAGE:24BluesCAN
Niko MikkolaAGE:23BluesFIN
Jacob MacDonaldAGE:27BluesUSA
Mitch ReinkeAGE:24BluesUSA
Vince DunnAGE:23BluesCAN
Jordan SchmaltzAGE:26BluesUSA
Matt TennysonAGE:29BluesUSA
Nate ProsserAGE:33BluesUSA
Jake AllenAGE:29BluesCAN
Jordan BinningtonAGE:26BluesCAN
Evan FitzpatrickAGE:22BluesCAN
Ville HussoAGE:25BluesFIN
Hunter MiskaAGE:24BluesUSA

Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6Ronde 7
2020
2021
2022
2023
2024

** 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
Alexander RomanovBluesBlues2018450
Anton AnderssonBluesBlues20172060
Artemi KnyazevBluesBlues2019590
Bryce BrodzinskiBluesBlues20192140
Filip HeltBluesBlues20162110
Harrison BlaisdellBluesBlues20191520
Hugo AlnefeltBluesBlues2019900
Jake PivonkaBluesBlues20181070
Jakob RagnarssonBluesBlues2018760
Jani HakanpaaBluesBlues20101040
Josiah SlavinBluesBlues20182000
Mitchell GibsonBluesBlues20181380
Nikolaj Krag ChristensenBluesBlues20162090
Petteri LindbohmBluesBlues2012176Rights
Timur IbragimovBluesBlues20191830
Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6Ronde 7
2020
2021
2022
2023
2024

** 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
Alexander RomanovBluesBlues2018450
Anton AnderssonBluesBlues20172060
Artemi KnyazevBluesBlues2019590
Bryce BrodzinskiBluesBlues20192140
Filip HeltBluesBlues20162110
Harrison BlaisdellBluesBlues20191520
Hugo AlnefeltBluesBlues2019900
Jake PivonkaBluesBlues20181070
Jakob RagnarssonBluesBlues2018760
Jani HakanpaaBluesBlues20101040
Josiah SlavinBluesBlues20182000
Mitchell GibsonBluesBlues20181380
Nikolaj Krag ChristensenBluesBlues20162090
Petteri LindbohmBluesBlues2012176Rights
Timur IbragimovBluesBlues20191830
News

































































































































































Injuries
No Injury or Suspension.

Game Center

Red Wings20-49-12, 52pts41Final
Blues40-33-8, 88pts

Bruins44-26-11, 99pts53Final
Blues40-33-8, 88pts

Blues40-33-8, 88ptsSat, Apr 04Pepsi Center
Avalanche59-19-3, 121pts

Capitals45-31-5, 95ptsWed, Oct 02Enterprise Center
Blues40-33-8, 88pts

Stars43-28-10, 96ptsSat, Oct 05Enterprise Center
Blues40-33-8, 88pts

Team Leaders

GOALS
Vladimir Tarasenko
40
ASSISTS
Alex Pietrangelo
58
POINTS
Vladimir Tarasenko
80
PLUS/MINUS
Tyler Bozak
12
WINS
Jordan Binnington
26
SV%
Evan Fitzpatrick
0.92

Team Stats


Goals For
243
3.00 GFG
Shots For
2579
31.84 Avg
Power Play Percentage
21.8%
57 GF
Offensive Zone Start
51.4%
Goals Against
241
2.98 GAA
Shots Against
2401
29.64 Avg
Penalty Kill Percentage
81.4%
50 GA
Defensive Zone Start
48.6%
 

Team Info

Blues
General ManagerOlivier Verdon
Head CoachCraig Berube
ConferenceWestern Conference
DivisionCentral

Blues Affiliation

Blues
Team NameRampage
CitySan Antonio
Head CoachGerry Fleming
DivisionCentrale

Arena Info

StadiumEnterprise Center
Capacity19,150
Attendance13,910
Season Tickets13,405

Salary Cap

Total Cap Hit77,225,580$
Cap Hit Percentage94.76%
Projected Cap Space4,274,420$
Retains & Buyout0$

Finance

Team Revenue91,869,394$
Estimated Revenue91,869,394$
Estimated Expenses84,909,150$
Operating Income6,960,244$
Bank Account115,669,191$

Tickets

Section 100160$ | 70.26%
Section 200115$ | 73.13%
Section 30080$ | 69.40%
Section 40050$ | 77.09%
Suites220$ | 75.89%

Team History

201940-33-8 (88PTS)
Record (W-L-OTL)83-65-15 (146PTS)
Playoff Appearances1
Playoff Record (W-L)8-9
Stanley Cup0

Entry Draft