BluesSt. Louis Blues
12-15-3, 27pts · 14th in Western Conference
Roster
# Player POS CON HT WT Age Date Of Birth POB Draft Contract
0Vladimir TarasenkoRW99% 6' 0" 22527December 13, 1991BluesRUS20107,500,000$/4yrs
0Sammy BlaisLW/RW100% 6' 2" 20523June 17, 1996BluesCAN20141,000,000$/1yrs
0Vladimir SobotkaC/LW100% 5' 11" 18932July 02, 1987BluesCZE20053,500,000$/1yrs
0Robby FabbriC/LW100% 5' 10" 19023January 22, 1996BluesCAN2014900,000$/1yrs
0Robert ThomasC/RW100% 6' 0" 18820July 02, 1999BluesCAN2017925,000$/2yrs
0Alexander SteenLW100% 6' 0" 21135March 01, 1984BluesCAN20025,750,000$/2yrs
0Tyler BozakC99% 6' 1" 19933March 19, 1986BluesCAN-5,000,000$/2yrs
0Brayden SchennC/W100% 6' 1" 20028August 22, 1991BluesCAN20095,125,000$/1yrs
0Jaden SchwartzLW99% 5' 10" 19027June 25, 1992BluesCAN20105,350,000$/2yrs
0Oskar SundqvistC100% 6' 3" 20925March 23, 1994BluesSWE20122,700,000$/4yrs
0Joonas DonskoiLW/RW100% 6' 0" 19027April 13, 1992BluesFIN20103,100,000$/3yrs
0Ivan BarbashevC/LW100% 6' 0" 18723December 14, 1995BluesRUS20141,475,000$/2yrs
0Jay BouwmeesterD100% 6' 4" 20636September 27, 1983BluesCAN20023,250,000$/1yrs
0Alex PietrangeloD99% 6' 3" 21029January 18, 1990BluesCAN20086,500,000$/1yrs
0Robert BortuzzoD100% 6' 4" 21630March 18, 1989BluesCAN20071,375,000$/3yrs
0Colton ParaykoD99% 6' 6" 23026May 12, 1993BluesCAN20125,500,000$/3yrs
0Joel EdmundsonD100% 6' 4" 21526June 28, 1993BluesCAN20113,100,000$/1yrs
0Vince DunnD100% 6' 0" 20323October 29, 1996BluesCAN2015722,500$/1yrs
Scratches
0Michael GrabnerRW93% 6' 1" 18832October 05, 1987BluesAUT20063,500,000$/1yrs
0Carl GunnarssonD76% 6' 2" 19833November 09, 1986BluesSWE20071,750,000$/2yrs
# 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.
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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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 TarasenkoBluesBlues0RW301518334140611414110710.64%219.423589200082140.63%6400001.1303
2Brayden SchennBluesBlues0C/LW/RW30111324-43406996285611.46%417.9244892000101151.05%71300100.8903
3Alex PietrangeloBluesBlues0D3041923-1140316313486.35%3822.841348200052200.00%000100.6700
4Jaden SchwartzBluesBlues0LW30914233201875195212.00%518.943589200062053.06%4900000.8102
5Tyler BozakBluesBlues0C3041317580266819405.88%316.9622479000271051.50%66600000.6700
6Michael GrabnerBluesBlues0RW237613-64077125469.86%114.060335500001030.43%2300000.8000
7Colton ParaykoBluesBlues0D30310131300755216305.77%4623.171127500076010.00%000000.3700
8Vince DunnBluesBlues0D304913-5401440113110.00%2819.321129200010000.00%000000.4500
9Joel EdmundsonBluesBlues0D302101224951102051410.00%4518.18000300067000.00%000000.4400
10Sammy BlaisBluesBlues0LW/RW304711-6120375716457.02%013.171236100080150.00%2600000.5611
11Alexander SteenBluesBlues0LW304711-320234713298.51%814.53011260001010043.59%3900000.5000
12Ivan BarbashevBluesBlues0C/LW304592115265712307.02%310.43000500000244.83%14500000.5800
13Jay BouwmeesterBluesBlues0D302681100361641412.50%3618.17000900082000.00%000000.2900
14Joonas DonskoiBluesBlues0LW/RW30257-14086418533.12%313.570004900001040.00%3500000.3401
15Oskar SundqvistBluesBlues0C30246-6140525121463.92%1014.940000000920048.08%62600000.2700
16Robert ThomasBluesBlues0C/RW30415-20042962113.79%012.2610120000460044.83%2900000.2700
17Robert BortuzzoBluesBlues0D18213-816044113918.18%2216.76000000036000.00%000000.2000
18Vladimir SobotkaBluesBlues0C/LW20112-24015165166.25%111.140000000340047.35%22600000.1800
19Robby FabbriBluesBlues0C/LW12112-240616346.25%215.2700035000111041.38%2900000.2200
20Carl GunnarssonBluesBlues0D12022-300115430.00%1214.01000000022000.00%000000.2400
Team Total or Average53585152237-31236106739952826948.54%26916.4717274487300069711648.99%267000200.54110
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 BinningtonBluesBlues26111320.9002.97155821777670120.6679263212
2Jake AllenBluesBlues51110.8355.0721300181090000.0000426000
Team Total or Average31121430.8923.22177121958760120.66793029212
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
1BluesBruins1000000156-110.500591400230034813114262016155240.00%8275.00%0556111250.00%511104648.85%24149548.69%241627813642.9%14.7%76.9%91.6FUN
2BluesAvalanche1010000013-200.0001231000104015178030910205120.00%5180.00%0556111250.00%511104648.85%24149548.69%24172271360.0%2.5%90.0%92.5Unlucky
3BluesMaple Leafs1000000134-110.500369001110185673461281911100.00%3166.67%0556111250.00%511104648.85%24149548.69%221528814640.0%16.7%91.3%108.0LUCKY
4BluesCanucks2020000037-400.0003690001205818231704812164610110.00%8275.00%0556111250.00%511104648.85%24149548.69%47324716251228.6%5.2%85.4%90.6Unlucky
5BluesPredators2020000039-600.00036900111064191926053101840900.00%6350.00%0556111250.00%511104648.85%24149548.69%53374114251333.3%4.7%83.0%87.7Unlucky
6BluesPenguins2110000077020.5007132000133066222618071141042500.00%50100.00%0556111250.00%511104648.85%24149548.69%46314913241250.0%10.6%90.1%100.7FUN
7BluesCapitals1100000042221.0004711001210391414110321212252150.00%6183.33%0556111250.00%511104648.85%24149548.69%211425712575.0%10.3%93.8%104.0LUCKY
8BluesDucks1100000051421.0005914003110401116130237619400.00%30100.00%0556111250.00%511104648.85%24149548.69%282019612683.3%12.5%95.7%108.2LUCKY
9BluesStars2020000026-400.0002350020006025171806318185411100.00%8275.00%0556111250.00%511104648.85%24149548.69%45304715271320.0%3.3%90.5%93.8Unlucky
10BluesFlames2100100096341.00091524001611711334231671614586116.67%7357.14%0556111250.00%511104648.85%24149548.69%48334613271372.7%12.7%91.0%103.7FUN
11BluesBlackhawks1000100065121.00061218001311325151113376247228.57%3166.67%0556111250.00%511104648.85%24149548.69%221424713650.0%18.8%84.8%103.6FUN
12BluesKings1000100032121.00036900020137111312123512243133.33%50100.00%0556111250.00%511104648.85%24149548.69%261722712650.0%8.1%91.3%99.4DULL
13BluesCanadiens2110000078-120.50071017004210571528140722485910330.00%4175.00%0556111250.00%511104648.85%24149548.69%45304815261236.4%12.3%88.9%101.2FUN
14BluesOilers1000010056-110.5005101500230061232990298924300.00%2150.00%0556111250.00%511104648.85%24149548.69%261920613650.0%8.2%79.3%87.5Unlucky
15BluesIslanders1100000032121.000369001200301113602286294125.00%20100.00%0556111250.00%511104648.85%24149548.69%251720713750.0%10.0%90.9%100.9FUN
16BluesBlue Jackets2110000045-120.5004711011120721632240521414429222.22%6266.67%0556111250.00%511104648.85%24149548.69%48344615251240.0%5.6%90.4%95.9Unlucky
17BluesCoyotes1010000014-300.0001230010002913970298416400.00%2150.00%0556111250.00%511104648.85%24149548.69%231524712625.0%3.4%86.2%89.7Unlucky
18BluesSenators1010000034-100.000358001110389101903161622100.00%7271.43%0556111250.00%511104648.85%24149548.69%211424713660.0%7.9%87.1%95.0Unlucky
19BluesWild2110000064220.500691500501064212221054191637400.00%8275.00%0556111250.00%511104648.85%24149548.69%47324614261275.0%9.4%92.6%102.0LUCKY
20BluesRed Wings1010000014-300.000123000010328121203112217500.00%10100.00%0556111250.00%511104648.85%24149548.69%241621613720.0%3.1%87.1%90.2Unlucky
21BluesLightning2010001056-120.500571210310153192013668281743500.00%60100.00%0556111250.00%511104648.85%24149548.69%44315415251245.5%9.4%91.2%100.6LUCKY
_Vs Division816010001827-940.2501832501094412608590841233636817526415.38%30970.00%0556111250.00%511104648.85%24149548.69%193132181601045143.8%6.9%88.4%95.3Unlucky
_Vs Conference1639031004453-9130.406448012410161783556174214165345211912936256712.50%571671.93%0556111250.00%511104648.85%24149548.69%39427136011920810450.0%7.9%88.3%96.2Unlucky
_Since Last GM Reset308150311286101-15270.45086152238213133184995301388300169032692386751031716.50%1052576.19%0556111250.00%511104648.85%24149548.69%71949470822538919347.6%8.6%88.8%97.5Unlucky
Total308150311286101-15270.45086152238213133184995301388300169032692386751031716.50%1052576.19%0556111250.00%511104648.85%24149548.69%71949470822538919347.6%8.6%88.8%97.5Unlucky

Puck Time
Offensive Zone 23
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 1112
Neutral Zone Start 495
Defensive Zone Start 1046
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 1308
Faceoffs Lost 1345
Team Average Shots after League Average Shots after
1st Period 10.09.57
2nd Period 23.020.31
3rd Period 33.030.68
Overtime 33.531.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.00.64
2nd Period 2.11.65
3rd Period 2.72.67
Overtime 2.92.83
Even Strenght Goal 67
PP Goal 17
PK Goal 0
Empty Net Goal 2
Home Away
Win 57
Lost 96
Overtime Lost 03
PP Attempt 103
PP Goal 17
PK Attempt 105
PK Goal Against 25
Home
Shots For 33.2
Shots Against 30.1
Goals For 2.9
Goals Against 3.4
Hits 22.5
Shots Blocked 9.0
Pim 7.9
Cap Hit
Blues
Projected Total Cap Hit76,304,307$
Projected Cap Space5,195,693$
Retains And Buyout Cap Hit0$
Salary Cap To Date27,125,309$
Players In Salary Cap24
LTIR Players1
Blues Roster Pos Age Cap Hit 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27
Alex Pietrangelo D296,500,000$7,500,000$UFA
Alexander Steen LW355,750,000$5,750,000$5,750,000$UFA
Brayden SchennC/LW/RW285,125,000$5,125,000$UFA
Carl Gunnarsson D331,750,000$1,750,000$1,750,000$UFA
Colton ParaykoD265,500,000$5,500,000$5,500,000$5,500,000$UFA
Ivan Barbashev C/LW231,475,000$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 SundqvistC252,700,000$2,700,000$2,700,000$2,700,000$2,700,000$UFA
Robby Fabbri C/LW23900,000$900,000$ RFA
Robert BortuzzoD301,375,000$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 C335,000,000$5,000,000$5,000,000$UFA
Vince Dunn D23722,500$722,500$ RFA
Vladimir SobotkaC/LW323,500,000$3,500,000$UFA
Vladimir TarasenkoRW277,500,000$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 C22732,500$732,500$ RFA
Alexei Toropchenko RW20850,000$850,000$ 850,000$ 850,000$ RFA
Austin Poganski RW23750,000$750,000$ RFA
Conner Bleackley C23750,000$750,000$ RFA
Erik Foley LW22925,000$925,000$ 925,000$ RFA
Evan Fitzpatrick G21770,000$770,000$ 770,000$ RFA
Hunter Miska G24700,000$700,000$ RFA
Isac Lundestrom C20925,000$925,000$ 925,000$ RFA
Jacob MacDonald D26750,000$750,000$ UFA
Jake Walman D23925,000$925,000$ 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 LW250$750,000$ RFA
Matt Tennyson D29700,000$700,000$ 700,000$ UFA
Mitch Reinke D23750,000$750,000$ 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/LW20700,000$700,000$ RFA
Tage Thompson LW/RW22925,000$925,000$ RFA
Tanner Kaspick C21750,000$750,000$ 750,000$ RFA
Tobias Bjornfot D18925,000$925,000$ 925,000$ 925,000$ RFA
Ville Husso G240$700,000$ 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


Vladimir Sobotka


Alexander Steen


Ivan Barbashev


Robert Thomas

Defensive Pairings


Colton Parayko


Alex Pietrangelo


Vince Dunn


Joel Edmundson


Robert Bortuzzo


Jay Bouwmeester

1st Power Play Unit


Jaden Schwartz


Brayden Schenn


Vladimir Tarasenko


Robby Fabbri


Vince Dunn

2nd Power Play Unit


Sammy Blais


Tyler Bozak


Joonas Donskoi


Colton Parayko


Alex Pietrangelo

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
1BluesBruins1000000156-110.500591400230034813114262016155240.00%8275.00%0556111250.00%511104648.85%24149548.69%241627813642.9%14.7%76.9%91.6FUN
2BluesAvalanche1010000013-200.0001231000104015178030910205120.00%5180.00%0556111250.00%511104648.85%24149548.69%24172271360.0%2.5%90.0%92.5Unlucky
3BluesMaple Leafs1000000134-110.500369001110185673461281911100.00%3166.67%0556111250.00%511104648.85%24149548.69%221528814640.0%16.7%91.3%108.0LUCKY
4BluesCanucks2020000037-400.0003690001205818231704812164610110.00%8275.00%0556111250.00%511104648.85%24149548.69%47324716251228.6%5.2%85.4%90.6Unlucky
5BluesPredators2020000039-600.00036900111064191926053101840900.00%6350.00%0556111250.00%511104648.85%24149548.69%53374114251333.3%4.7%83.0%87.7Unlucky
6BluesPenguins2110000077020.5007132000133066222618071141042500.00%50100.00%0556111250.00%511104648.85%24149548.69%46314913241250.0%10.6%90.1%100.7FUN
7BluesCapitals1100000042221.0004711001210391414110321212252150.00%6183.33%0556111250.00%511104648.85%24149548.69%211425712575.0%10.3%93.8%104.0LUCKY
8BluesDucks1100000051421.0005914003110401116130237619400.00%30100.00%0556111250.00%511104648.85%24149548.69%282019612683.3%12.5%95.7%108.2LUCKY
9BluesStars2020000026-400.0002350020006025171806318185411100.00%8275.00%0556111250.00%511104648.85%24149548.69%45304715271320.0%3.3%90.5%93.8Unlucky
10BluesFlames2100100096341.00091524001611711334231671614586116.67%7357.14%0556111250.00%511104648.85%24149548.69%48334613271372.7%12.7%91.0%103.7FUN
11BluesBlackhawks1000100065121.00061218001311325151113376247228.57%3166.67%0556111250.00%511104648.85%24149548.69%221424713650.0%18.8%84.8%103.6FUN
12BluesKings1000100032121.00036900020137111312123512243133.33%50100.00%0556111250.00%511104648.85%24149548.69%261722712650.0%8.1%91.3%99.4DULL
13BluesCanadiens2110000078-120.50071017004210571528140722485910330.00%4175.00%0556111250.00%511104648.85%24149548.69%45304815261236.4%12.3%88.9%101.2FUN
14BluesOilers1000010056-110.5005101500230061232990298924300.00%2150.00%0556111250.00%511104648.85%24149548.69%261920613650.0%8.2%79.3%87.5Unlucky
15BluesIslanders1100000032121.000369001200301113602286294125.00%20100.00%0556111250.00%511104648.85%24149548.69%251720713750.0%10.0%90.9%100.9FUN
16BluesBlue Jackets2110000045-120.5004711011120721632240521414429222.22%6266.67%0556111250.00%511104648.85%24149548.69%48344615251240.0%5.6%90.4%95.9Unlucky
17BluesCoyotes1010000014-300.0001230010002913970298416400.00%2150.00%0556111250.00%511104648.85%24149548.69%231524712625.0%3.4%86.2%89.7Unlucky
18BluesSenators1010000034-100.000358001110389101903161622100.00%7271.43%0556111250.00%511104648.85%24149548.69%211424713660.0%7.9%87.1%95.0Unlucky
19BluesWild2110000064220.500691500501064212221054191637400.00%8275.00%0556111250.00%511104648.85%24149548.69%47324614261275.0%9.4%92.6%102.0LUCKY
20BluesRed Wings1010000014-300.000123000010328121203112217500.00%10100.00%0556111250.00%511104648.85%24149548.69%241621613720.0%3.1%87.1%90.2Unlucky
21BluesLightning2010001056-120.500571210310153192013668281743500.00%60100.00%0556111250.00%511104648.85%24149548.69%44315415251245.5%9.4%91.2%100.6LUCKY
_Vs Division816010001827-940.2501832501094412608590841233636817526415.38%30970.00%0556111250.00%511104648.85%24149548.69%193132181601045143.8%6.9%88.4%95.3Unlucky
_Vs Conference1639031004453-9130.406448012410161783556174214165345211912936256712.50%571671.93%0556111250.00%511104648.85%24149548.69%39427136011920810450.0%7.9%88.3%96.2Unlucky
_Since Last GM Reset308150311286101-15270.45086152238213133184995301388300169032692386751031716.50%1052576.19%0556111250.00%511104648.85%24149548.69%71949470822538919347.6%8.6%88.8%97.5Unlucky
Total308150311286101-15270.45086152238213133184995301388300169032692386751031716.50%1052576.19%0556111250.00%511104648.85%24149548.69%71949470822538919347.6%8.6%88.8%97.5Unlucky

Puck Time
Offensive Zone 23
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 1112
Neutral Zone Start 495
Defensive Zone Start 1046
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 1308
Faceoffs Lost 1345
Team Average Shots after League Average Shots after
1st Period 10.09.57
2nd Period 23.020.31
3rd Period 33.030.68
Overtime 33.531.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.00.64
2nd Period 2.11.65
3rd Period 2.72.67
Overtime 2.92.83
Even Strenght Goal 67
PP Goal 17
PK Goal 0
Empty Net Goal 2
Home Away
Win 57
Lost 96
Overtime Lost 03
PP Attempt 103
PP Goal 17
PK Attempt 105
PK Goal Against 25
Home
Shots For 33.2
Shots Against 30.1
Goals For 2.9
Goals Against 3.4
Hits 22.5
Shots Blocked 9.0
Pim 7.9
Schedule
DateMatchup Result Detail
2019-10-02BluesCapitals@BluesBluesCapitals2,Blues4RECAP
2019-10-05BluesStars@BluesBluesStars4,Blues1RECAP
2019-10-07BluesBlues@BluesMaple LeafsBlues3,Maple Leafs4 (SO)RECAP
2019-10-10BluesBlues@BluesSenatorsBlues3,Senators4RECAP
2019-10-12BluesBlues@BluesCanadiensBlues6,Canadiens4RECAP
2019-10-14BluesBlues@BluesIslandersBlues3,Islanders2RECAP
2019-10-17BluesCanucks@BluesBluesCanucks4,Blues1RECAP
2019-10-19BluesCanadiens@BluesBluesCanadiens4,Blues1RECAP
2019-10-21BluesAvalanche@BluesBluesAvalanche3,Blues1RECAP
2019-10-24BluesKings@BluesBluesKings2,Blues3 (OT)RECAP
2019-10-26BluesBlues@BluesBruinsBlues5,Bruins6 (SO)RECAP
2019-10-27BluesBlues@BluesRed WingsBlues1,Red Wings4RECAP
2019-10-30BluesWild@BluesBluesWild1,Blues4RECAP
2019-11-01BluesBlue Jackets@BluesBluesBlue Jackets5,Blues2RECAP
2019-11-02BluesBlues@BluesWildBlues2,Wild3RECAP
2019-11-05BluesBlues@BluesCanucksBlues2,Canucks3RECAP
2019-11-06BluesBlues@BluesOilersBlues5,Oilers6 (OT)RECAP
2019-11-09BluesBlues@BluesFlamesBlues6,Flames4RECAP
2019-11-12BluesCoyotes@BluesBluesCoyotes4,Blues1RECAP
2019-11-15BluesBlues@BluesBlue JacketsBlues2,Blue Jackets0RECAP
2019-11-16BluesDucks@BluesBluesDucks1,Blues5RECAP
2019-11-19BluesLightning@BluesBluesLightning4,Blues2RECAP
2019-11-21BluesFlames@BluesBluesFlames2,Blues3 (OT)RECAP
2019-11-23BluesPredators@BluesBluesPredators5,Blues2RECAP
2019-11-25BluesBlues@BluesPredatorsBlues1,Predators4RECAP
2019-11-27BluesBlues@BluesLightningBlues3,Lightning2 (SO)RECAP
2019-11-29BluesBlues@BluesStarsBlues1,Stars2RECAP
2019-11-30BluesPenguins@BluesBluesPenguins6,Blues4RECAP
2019-12-02BluesBlues@BluesBlackhawksBlues6,Blackhawks5 (OT)RECAP
2019-12-04BluesBlues@BluesPenguinsBlues3,Penguins1RECAP
2019-12-07BluesMaple Leafs@BluesBlues
2019-12-10BluesBlues@BluesSabres
2019-12-12BluesGolden Knights@BluesBlues
2019-12-14BluesBlackhawks@BluesBlues
2019-12-16BluesAvalanche@BluesBlues
2019-12-18BluesOilers@BluesBlues
2019-12-21BluesBlues@BluesSharks
2019-12-23BluesBlues@BluesKings
2019-12-27BluesBlues@BluesJets
2019-12-29BluesJets@BluesBlues
2019-12-31BluesBlues@BluesCoyotes
2020-01-02BluesBlues@BluesAvalanche
2020-01-04BluesBlues@BluesGolden Knights
2020-01-07BluesSharks@BluesBlues
2020-01-09BluesSabres@BluesBlues
2020-01-11BluesRangers@BluesBlues
2020-01-13BluesDucks@BluesBlues
2020-01-15BluesFlyers@BluesBlues
2020-01-18BluesBlues@BluesAvalanche
2020-01-27BluesBlues@BluesCanucks
2020-01-28BluesBlues@BluesFlames
2020-01-31BluesBlues@BluesOilers
2020-02-01BluesBlues@BluesJets
2020-02-04BluesHurricanes@BluesBlues
2020-02-06BluesJets@BluesBlues
2020-02-08BluesStars@BluesBlues
2020-02-11BluesBlues@BluesDucks
2020-02-13BluesBlues@BluesGolden Knights
2020-02-15BluesPredators@BluesBlues
2020-02-16BluesBlues@BluesPredators
2020-02-18BluesDevils@BluesBlues
2020-02-20BluesCoyotes@BluesBlues
2020-02-21BluesBlues@BluesStars
2020-02-23BluesBlues@BluesWild
Trade Deadline --- Trades cant be done after this day is simulated!
2020-02-25BluesBlackhawks@BluesBlues
2020-02-27BluesIslanders@BluesBlues
2020-02-29BluesStars@BluesBlues
2020-03-03BluesBlues@BluesRangers
2020-03-06BluesBlues@BluesDevils
2020-03-08BluesBlues@BluesBlackhawks
2020-03-10BluesPanthers@BluesBlues
2020-03-13BluesSharks@BluesBlues
2020-03-15BluesSenators@BluesBlues
2020-03-17BluesBlues@BluesFlyers
2020-03-19BluesBlues@BluesHurricanes
2020-03-21BluesBlues@BluesPanthers
2020-03-24BluesBlues@BluesCapitals
2020-03-27BluesKings@BluesBlues
2020-03-29BluesWild@BluesBlues
2020-03-31BluesRed Wings@BluesBlues
2020-04-02BluesBruins@BluesBlues
2020-04-04BluesBlues@BluesAvalanche

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
80,722,500$ 0$ 76,304,307$ 5,195,693$

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

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000300040001150
Ticket Price160$115$80$50$220$
Attendance5943553664286574528112928
Attendance PCT70.76%76.66%68.23%80.86%80.30%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
27 14283 - 74.59% 2,369,286$33,170,006$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
29,904,196$ 406,438$ 27,125,309$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
63,970,726$ 121 454,422$ 54,985,062$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
56,498,562$ 76,304,307$ 111,331,077$ 120,666,241$
Depth Chart Rising Star Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Alexander SteenAGE:35BluesCAN
Jaden SchwartzAGE:27BluesCAN
Brayden SchennAGE:28BluesCAN
Vladimir SobotkaAGE:32BluesCZE
Joonas DonskoiAGE:27BluesFIN
Zach SanfordAGE:25BluesUSA
Ivan BarbashevAGE:23BluesRUS
Sammy BlaisAGE:23BluesCAN
Erik FoleyAGE:22BluesUSA
Tage ThompsonAGE:22BluesUSA
Robby FabbriAGE:23BluesCAN
Klim KostinAGE:20BluesRUS
Mackenzie MacEachernAGE:25BluesUSA
Pontus HolmbergAGE:20BluesSWE
Brayden SchennAGE:28BluesCAN
Tyler BozakAGE:33BluesCAN
Vladimir SobotkaAGE:32BluesCZE
Oskar SundqvistAGE:25BluesSWE
Ivan BarbashevAGE:23BluesRUS
Robert ThomasAGE:20BluesCAN
Isac LundestromAGE:20BluesSWE
Robby FabbriAGE:23BluesCAN
Klim KostinAGE:20BluesRUS
Jordan KyrouAGE:21BluesCAN
Nolan StevensAGE:23BluesCAN
Tanner KaspickAGE:21BluesCAN
Conner BleackleyAGE:23BluesCAN
Adam MusilAGE:22BluesCAN
Pontus HolmbergAGE:20BluesSWE
Vladimir TarasenkoAGE:27BluesRUS
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:23BluesUSA
Jordan KyrouAGE:21BluesCAN

Defense #1Defense #2Goalie
Alex PietrangeloAGE:29BluesCAN
Colton ParaykoAGE:26BluesCAN
Jay BouwmeesterAGE:36BluesCAN
Joel EdmundsonAGE:26BluesCAN
Carl GunnarssonAGE:33BluesSWE
Robert BortuzzoAGE:30BluesCAN
Tobias BjornfotAGE:18BluesSWE
Jake WalmanAGE:23BluesCAN
Niko MikkolaAGE:23BluesFIN
Jacob MacDonaldAGE:26BluesUSA
Mitch ReinkeAGE:23BluesUSA
Vince DunnAGE:23BluesCAN
Nate ProsserAGE:33BluesUSA
Jordan SchmaltzAGE:26BluesUSA
Matt TennysonAGE:29BluesUSA
Jake AllenAGE:29BluesCAN
Jordan BinningtonAGE:26BluesCAN
Evan FitzpatrickAGE:21BluesCAN
Hunter MiskaAGE:24BluesUSA
Ville HussoAGE:24BluesFIN

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

Blues12-15-3, 27pts65Final
Blackhawks16-11-1, 33pts

Blues12-15-3, 27pts31Final
Penguins14-11-3, 31pts

Maple Leafs16-10-4, 36ptsSat, Dec 07Enterprise Center
Blues12-15-3, 27pts

Blues12-15-3, 27ptsTue, Dec 10KeyBank Center
Sabres12-12-5, 29pts

Golden Knights19-10-2, 40ptsThu, Dec 12Enterprise Center
Blues12-15-3, 27pts

Team Leaders

GOALS
Vladimir Tarasenko
15
ASSISTS
Alex Pietrangelo
19
POINTS
Vladimir Tarasenko
33
PLUS/MINUS
Tyler Bozak
5
WINS
Jordan Binnington
11
SV%
Evan Fitzpatrick
0.92

Team Stats


Goals For
86
2.87 GFG
Shots For
995
33.17 Avg
Power Play Percentage
16.5%
17 GF
Offensive Zone Start
51.5%
Goals Against
101
3.37 GAA
Shots Against
903
30.10 Avg
Penalty Kill Percentage
76.2%
25 GA
Defensive Zone Start
48.5%
 

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
Attendance14,283
Season Tickets13,405

Salary Cap

Total Cap Hit76,304,307$
Cap Hit Percentage93.62%
Projected Cap Space5,195,693$
Retains & Buyout0$

Finance

Team Revenue33,170,006$
Estimated Revenue99,003,732$
Estimated Expenses84,889,258$
Operating Income14,114,474$
Bank Account111,331,077$

Tickets

Section 100160$ | 70.76%
Section 200115$ | 76.66%
Section 30080$ | 68.23%
Section 40050$ | 80.86%
Suites220$ | 80.30%

Team History

201912-15-3 (27PTS)
Record (W-L-OTL)55-47-10 (85PTS)
Playoff Appearances1
Playoff Record (W-L)8-9
Stanley Cup0

Entry Draft