BluesSt. Louis Blues
30-24-6, 66pts · 7th in Western Conference
Roster
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 # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Jack Eichel (C)0C100.00461999881979699909999526082826764832611,000,000$/5yrs
Alex Galchenyuk0C/LW100.0050199877687949163828455608082666476295,500,000$/1yrs
Vladimir Tarasenko0RW100.0062599928094958455838947616971836476317,850,000$/1yrs
Tomas Tatar0LW100.00772394856573918036888364607173796475327,000,000$/3yrs
Derek Stepan0C100.0054299827096948284737269617681776473333,800,000$/3yrs
Evander Kane0LW100.00732954857993947449778855387576816473325,500,000$/5yrs
Carter Verhaeghe0C/LW100.00732279816974867154788374257171526472284,166,667$/1yrs
Mikael Backlund (A)0C100.0054390827193977387777862257374786472344,000,000$/1yrs
Mike Hoffman0LW/RW100.0050198836692998836809034356768816472333,250,000$/2yrs
Vinnie Hinostroza0C/RW100.004719983638190733476735875818153647029750,000$/2yrs
Ryan Dzingel0LW/RW100.00521099837191967240798448256464766470312,000,000$/1yrs
Cody Eakin0C100.005539984708396618967776325777972646932750,000$/2yrs
Devon Toews0D99.00712390837193857525776191756668406476298,000,000$/4yrs
Ryan McDonagh (A)0D100.0062497847799906325725188257379716475343,500,000$/1yrs
Gustav Forsling0D100.00712285796888887025666089256768446474272,666,667$/1yrs
Nikita Zaitsev0D99.006659980739688582551478525626364647131750,000$/1yrs
Nick Jensen0D100.00601399747095986025584886255959656470332,200,000$/1yrs
Jordan Oesterle0D100.0053199786892807225554987256060625370312,500,000$/1yrs
Nick DeSimone0D100.0052289967748778642557567950626243256728750,000$/1yrs
Scratches
TEAM AVERAGE99.89591093837290917447737268427072666173
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Connor Hellebuyck099.00849599848991969291808870707478853010,000,000$/1yrs
Cayden Primeau0100.0078766675739090908973735757757876242,000,000$/4yrs
Scratches
TEAM AVERAGE99.5081868380819193919077816464757881
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Sullivan99839178919174USA5852,500,000$
General Manager
Paul Gagne
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 AMG PPG PPA PPP PPM PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Tomas TatarBluesBlues0LW601828461214098176487710.23%1613.08000000002036.17%47559001.1700
2Alex GalchenyukBluesBlues0C/LW6021244566050217681129.68%1715.764913139101401244.93%695310010.9500
3Vladimir TarasenkoBluesBlues0RW60142640-144074218931436.42%1317.92781513400002045.57%795216000.7414
4Jack EichelBluesBlues0C60172340-130023209681178.13%1617.822131514000002354.80%13126420000.7501
5Derek StepanBluesBlues0C60181937112041109536316.51%1613.44000000056254.61%7051818010.9213
6Mike HoffmanBluesBlues0LW/RW6015193442031164451039.15%814.86651114000001033.93%56387000.7601
7Ryan DzingelBluesBlues0LW/RW60131730128027118276611.02%1113.250111000003018.42%382211000.7500
8Carter VerhaegheBluesBlues0C/LW6014152925207216842708.33%1611.940004000832250.00%282510000.8100
9Vinnie HinostrozaBluesBlues0C/RW6012162842028114388210.53%1212.4100040111045125.93%27228000.7501
10Mikael BacklundBluesBlues0C6011142562606972165515.28%1916.463710138000921153.46%9261620000.5100
11Devon ToewsBluesBlues0D6022224-73001298634242.33%10027.2513414200094000.00%01750000.2900
12Ryan McDonaghBluesBlues0D60420241100604735358.51%6719.78336145000111200.00%01049000.4001
13Cody EakinBluesBlues0C6071320200337820478.97%1712.2500030001050054.18%502206000.5400
14Evander KaneBluesBlues0LW6061218-94601499020426.67%2417.9326813900090043.08%651914000.3304
15Gustav ForslingBluesBlues0D6031518-7320765616245.36%6617.4723513700011100.00%0648000.3400
16Nikita ZaitsevBluesBlues0D602131510220827731222.60%10524.8420299000101100.00%0356000.2000
17Nick JensenBluesBlues0D60110111680454215162.38%5815.400002000106010.00%0241000.2400
18Jordan OesterleBluesBlues0D60178320194919232.04%6315.15101410002000.00%0441000.1800
19Nick DeSimoneBluesBlues0D2600000001000.00%11.27000100012000.00%000000.0000
Team Total or Average11061793134923926601106209168811218.56%64516.143358911427112882291252.67%3854446434020.55215
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
1Connor HellebuyckBlues53281860.9212.593152031361719752110.643145281430
2Cayden PrimeauBlues92600.9013.344670126262127000.0000852101
Team Total or Average62302460.9182.693619041621981879110.6431460601531
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
1BluesFlames53100001189970.700183149014590174575953717467148512216.67%70100.00%0824152554.03%763143253.28%44386950.98%1147110941814064.0%10.3%94.8%105.2LUCKY
2BluesKings41300000913-420.250916250044101314552340119452674700.00%13376.92%0824152554.03%763143253.28%44386950.98%83498935673047.4%6.9%89.1%95.9Unlucky
3BluesOilers32000100138550.83313223500724011936394311043285512325.00%4175.00%1824152554.03%763143253.28%44386950.98%66416425502558.8%10.9%92.3%103.2LUCKY
4BluesCanucks312000001112-120.33311182900047010729403801053218576233.33%9188.89%0824152554.03%763143253.28%44386950.98%65396424492445.0%10.3%88.6%98.9FUN
5BluesGolden Knights430000011611570.875162743007540136514836712948169023730.43%8187.50%0824152554.03%763143253.28%44386950.98%101607332703947.4%11.8%91.5%103.2LUCKY
6BluesAvalanche3100200073461.0007132001023299342339311634655800.00%30100.00%0824152554.03%763143253.28%44386950.98%63377026492470.0%7.1%97.4%104.5DULL
7BluesStars623010001817160.500183250013681213766769116946269822731.82%13469.23%0824152554.03%763143253.28%44386950.98%13480123541025145.8%8.5%89.9%98.4Unlucky
8BluesJets614000101318-540.333132235002642199567961620169261101417.14%13376.92%0824152554.03%763143253.28%44386950.98%1237214253984844.4%6.5%91.0%97.6Unlucky
9BluesBruins2200000085341.0008162400260075213123064132365120.00%110.00%0824152554.03%763143253.28%44386950.98%41254517331663.6%10.7%92.2%102.9LUCKY
10BluesCoyotes32100000127540.6671223350137201114835280942786110110.00%40100.00%0824152554.03%763143253.28%44386950.98%67416224492661.1%10.8%92.6%103.4LUCKY
11BluesDucks412001001015-530.3751015250035201373843560136492473500.00%12375.00%0824152554.03%763143253.28%44386950.98%84518932663145.5%7.3%89.0%96.3Unlucky
12BluesCanadiens1010000024-200.000246100110361281603915415300.00%20100.00%0824152554.03%763143253.28%44386950.98%191123816833.3%5.6%89.7%95.3Unlucky
13BluesSenators2110000027-520.50024600110074272522068211437100.00%7271.43%0824152554.03%763143253.28%44386950.98%45284317311428.6%2.7%89.7%92.4Unlucky
14BluesWild2020000046-200.0004711000220681822280631714378225.00%70100.00%0824152554.03%763143253.28%44386950.98%42244418331625.0%5.9%90.5%96.4Unlucky
15BluesMaple Leafs1100000041321.00048120002203517711035154172150.00%20100.00%0824152554.03%763143253.28%44386950.98%241620714775.0%11.4%97.1%108.6LUCKY
16BluesRangers1000010012-110.500112001000311612303211625400.00%30100.00%0824152554.03%763143253.28%44386950.98%211121817933.3%3.2%93.8%97.0DULL
17BluesSabres1100000031221.000358000120369819037174172150.00%20100.00%0824152554.03%763143253.28%44386950.98%201123816766.7%8.3%97.3%105.6DULL
18BluesRed Wings22000000127541.00012193100318074222626057238476116.67%5260.00%0824152554.03%763143253.28%44386950.98%46284015331768.8%16.2%87.7%103.9FUN
19BluesFlyers2110000085320.50081321001430672813260641712418337.50%6183.33%0824152554.03%763143253.28%44386950.98%44264417311655.6%11.9%92.2%104.1LUCKY
20BluesLightning1100000043121.000481200103042147210296411100.00%20100.00%0824152554.03%763143253.28%44386950.98%221420816757.1%9.5%89.7%99.2FUN
21BluesPanthers2010000136-310.25035800120065211628374251227000.00%6183.33%0824152554.03%763143253.28%44386950.98%42244917331637.5%4.6%91.9%96.5DULL
22BluesDevils1010000012-100.00012300100031121450376416100.00%20100.00%0824152554.03%763143253.28%44386950.98%191123816833.3%3.2%94.6%97.8DULL
23BluesBlue Jackets1010000014-300.0001230001003116510036106226116.67%3233.33%0824152554.03%763143253.28%44386950.98%19102291890.0%3.2%88.9%92.1Unlucky
_Vs Division206100301054513200.5005497151038231956902322262251064319380361621117.74%40782.50%0824152554.03%763143253.28%44386950.98%43225644217733416749.4%7.8%92.1%99.9DULL
_Vs Conference4317180321213111912460.53513122635704334846514944885074852514104661867951272519.69%931682.80%1824152554.03%763143253.28%44386950.98%94857093337071936050.7%8.8%91.6%100.3DULL
_Since Last GM Reset6026240331318016614660.550180313493144467655209170367969528198264526611061663319.88%1342581.34%1824152554.03%763143253.28%44386950.98%1315792131151599950151.0%8.6%91.6%100.2DULL
Total6026240331318016614660.550180313493144467655209170367969528198264526611061663319.88%1342581.34%1824152554.03%763143253.28%44386950.98%1315792131151599950151.0%8.6%91.6%100.2DULL

Puck Time
Offensive Zone 21
Neutral Zone 16
Defensive Zone 21
Puck Time
Offensive Zone Start 1525
Neutral Zone Start 869
Defensive Zone Start 1432
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 2030
Faceoffs Lost 1796
Team Average Shots after League Average Shots after
1st Period 11.79.57
2nd Period 23.020.31
3rd Period 34.630.68
Overtime 35.131.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.70.64
2nd Period 1.91.65
3rd Period 2.92.67
Overtime 3.02.83
Even Strenght Goal 145
PP Goal 33
PK Goal 1
Empty Net Goal 1
Home Away
Win 1416
Lost 1113
Overtime Lost 51
PP Attempt 166
PP Goal 33
PK Attempt 134
PK Goal Against 25
Home
Shots For 34.9
Shots Against 33.0
Goals For 3.0
Goals Against 2.8
Hits 18.4
Shots Blocked 10.8
Pim 4.4
Cap Hit
Blues
Projected Total Cap Hit84,933,312$
Projected Cap Space5,066,688$
Retains And Buyout Cap Hit-3,000,000$
Salary Cap To Date63,573,408$
Players In Salary Cap21
LTIR Players0
Player Name Pos Age Cap Hit 2018-2019 2019-2020 2020-2021 2021-2022 2022-2023 2023-2024 2024-2025 2025-2026
Alex Galchenyuk C/LW295,500,000$5,500,000$
Carter Verhaeghe C/LW284,166,667$4,166,667$
Cayden Primeau C242,000,000$2,000,000$ 2,000,000$ 2,000,000$ 2,000,000$
Cody Eakin C32750,000$750,000$ 750,000$
Connor HellebuyckC3010,000,000$10,000,000$
Derek StepanC333,800,000$3,800,000$3,800,000$3,800,000$
Devon ToewsD298,000,000$8,000,000$8,000,000$8,000,000$8,000,000$
Evander KaneLW325,500,000$5,500,000$4,000,000$4,000,000$4,000,000$4,000,000$
Gustav Forsling D272,666,667$2,666,667$
Jack EichelC2611,000,000$11,000,000$10,000,000$10,000,000$10,000,000$10,000,000$
Jordan OesterleD312,500,000$2,500,000$
Mikael BacklundC344,000,000$4,000,000$
Mike HoffmanLW/RW333,250,000$3,250,000$3,250,000$
Nick DeSimone D28750,000$750,000$
Nick Jensen D332,200,000$2,200,000$
Nikita Zaitsev D31750,000$750,000$
Ryan DzingelLW/RW312,000,000$2,000,000$
Ryan McDonaghD343,500,000$3,500,000$
Tomas TatarLW327,000,000$7,000,000$7,000,000$7,000,000$
Vinnie Hinostroza C/RW29750,000$750,000$ 750,000$
Vladimir TarasenkoRW317,850,000$7,850,000$

Lines
Forward Lines


#0 - Evander Kane


#0 - Jack Eichel


#0 - Vladimir Tarasenko


#0 - Alex Galchenyuk


#0 - Mikael Backlund


#0 - Mike Hoffman


#0 - Tomas Tatar


#0 - Derek Stepan


#0 - Ryan Dzingel


#0 - Carter Verhaeghe


#0 - Cody Eakin


#0 - Vinnie Hinostroza

Defensive Pairings


#0 - Devon Toews


#0 - Gustav Forsling


#0 - Ryan McDonagh


#0 - Jordan Oesterle


#0 - Nikita Zaitsev


#0 - Nick Jensen

1st Power Play Unit


#0 - Evander Kane


#0 - Jack Eichel


#0 - Mike Hoffman


#0 - Ryan McDonagh


#0 - Devon Toews

2nd Power Play Unit


#0 - Alex Galchenyuk


#0 - Mikael Backlund


#0 - Vladimir Tarasenko


#0 - Gustav Forsling


#0 - Nikita Zaitsev

Goalies


#21 - Connor Hellebuyck


#0 - Cayden Primeau

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
Aku KoskenvuoBluesBlues474
Alex GagneBluesBlues576
Carson BantleBluesBlues239
Chase ClarkBluesBlues486
Emil PieniniemiBluesBlues876
Nikita GuslistovBluesBlues494
Nikita IshlmnikovBluesBlues886
Nikita QuappBluesBlues491
Nils JuntorpBluesBlues671
Otto StenbergBluesBlues828
Owen McLaughlinBluesBlues588
Prokhor PoltapovBluesBlues434
Shane LachanceBluesBlues587
Theo LindsteinBluesBlues838
Schedule
DateMatchup Result Detail
2023-09-26BluesBlues@BluesJetsBlues1,Jets4RECAP
2023-09-27BluesCoyotes@BluesBluesCoyotes2,Blues5RECAP
2023-09-29BluesBlues@BluesStarsBlues4,Stars0RECAP
2023-10-01BluesBlues@BluesStarsBlues4,Stars3 (OT)RECAP
2023-10-03BluesFlames@BluesBluesFlames1,Blues3RECAP
2023-10-05BluesStars@BluesBluesStars4,Blues2RECAP
2023-10-07BluesBlues@BluesWildBlues3,Wild4RECAP
2023-10-09BluesWild@BluesBluesWild2,Blues1RECAP
2023-10-12BluesFlames@BluesBluesFlames5,Blues4 (SO)RECAP
2023-10-13BluesBlues@BluesStarsBlues4,Stars3RECAP
2023-10-15BluesBlues@BluesKingsBlues2,Kings4RECAP
2023-10-18BluesJets@BluesBluesJets5,Blues3RECAP
2023-10-19BluesBlues@BluesFlamesBlues6,Flames0RECAP
2023-10-21BluesKings@BluesBluesKings3,Blues1RECAP
2023-10-23BluesGolden Knights@BluesBluesGolden Knights2,Blues3RECAP
2023-10-25BluesBlues@BluesFlamesBlues1,Flames2RECAP
2023-10-27BluesBlues@BluesCoyotesBlues3,Coyotes5RECAP
2023-10-29BluesSenators@BluesBluesSenators6,Blues0RECAP
2023-10-31BluesDucks@BluesBluesDucks5,Blues1RECAP
2023-11-01BluesBlues@BluesBruinsBlues5,Bruins3RECAP
2023-11-02BluesBlues@BluesKingsBlues4,Kings3RECAP
2023-11-04BluesPanthers@BluesBluesPanthers3,Blues1RECAP
2023-11-06BluesBlues@BluesSenatorsBlues2,Senators1RECAP
2023-11-08BluesRed Wings@BluesBluesRed Wings2,Blues6RECAP
2023-11-10BluesBlues@BluesJetsBlues2,Jets3RECAP
2023-11-12BluesKings@BluesBluesKings3,Blues2RECAP
2023-11-14BluesBlues@BluesGolden KnightsBlues4,Golden Knights1RECAP
2023-11-16BluesGolden Knights@BluesBluesGolden Knights5,Blues4 (SO)RECAP
2023-11-18BluesBlues@BluesAvalancheBlues3,Avalanche2 (OT)RECAP
2023-11-20BluesStars@BluesBluesStars3,Blues1RECAP
2023-11-22BluesBlues@BluesGolden KnightsBlues5,Golden Knights3RECAP
2023-11-23BluesJets@BluesBluesJets4,Blues2RECAP
2023-11-25BluesBlues@BluesJetsBlues3,Jets1RECAP
2023-11-27BluesBlues@BluesRed WingsBlues6,Red Wings5RECAP
2023-11-28BluesCanadiens@BluesBluesCanadiens4,Blues2RECAP
2023-11-30BluesBlues@BluesPanthersBlues2,Panthers3 (SO)RECAP
2023-12-02BluesJets@BluesBluesJets1,Blues2 (SO)RECAP
2023-12-04BluesFlyers@BluesBluesFlyers1,Blues5RECAP
2023-12-05BluesBlues@BluesCanucksBlues2,Canucks4RECAP
2023-12-07BluesCanucks@BluesBluesCanucks3,Blues8RECAP
2023-12-09BluesBlues@BluesFlyersBlues3,Flyers4RECAP
2023-12-11BluesAvalanche@BluesBluesAvalanche0,Blues2RECAP
2023-12-13BluesBlues@BluesOilersBlues2,Oilers1RECAP
2023-12-14BluesBlues@BluesStarsBlues3,Stars4RECAP
2023-12-15BluesRangers@BluesBluesRangers2,Blues1 (OT)RECAP
2023-12-17BluesBlues@BluesFlamesBlues4,Flames1RECAP
2023-12-18BluesSabres@BluesBluesSabres1,Blues3RECAP
2023-12-20BluesAvalanche@BluesBluesAvalanche1,Blues2 (OT)RECAP
2023-12-23BluesBlues@BluesOilersBlues9,Oilers4RECAP
2023-12-25BluesBruins@BluesBluesBruins2,Blues3RECAP
2023-12-26BluesBlues@BluesBlue JacketsBlues1,Blue Jackets4RECAP
2023-12-28BluesBlues@BluesCanucksBlues1,Canucks5RECAP
2023-12-29BluesCoyotes@BluesBluesCoyotes0,Blues4RECAP
2023-12-31BluesDucks@BluesBluesDucks3,Blues2 (OT)RECAP
2024-01-01BluesBlues@BluesDucksBlues5,Ducks2RECAP
2024-01-03BluesBlues@BluesDevilsBlues1,Devils2RECAP
2024-01-04BluesMaple Leafs@BluesBluesMaple Leafs1,Blues4RECAP
2024-01-06BluesLightning@BluesBluesLightning3,Blues4RECAP
2024-01-08BluesOilers@BluesBluesOilers3,Blues2 (OT)RECAP
2024-01-10BluesBlues@BluesDucksBlues2,Ducks5RECAP
2024-01-11BluesWild@BluesBlues
2024-01-13BluesBlues@BluesCoyotes
2024-01-15BluesBlues@BluesRangers
2024-01-17BluesBlues@BluesLightning
2024-01-18BluesStars@BluesBlues
2024-01-19BluesFlames@BluesBlues
2024-01-21BluesCanucks@BluesBlues
Trade Deadline --- Trades canít be done after this day is simulated!
2024-01-23BluesBlues@BluesWild
2024-01-24BluesBlues@BluesCanadiens
2024-01-25BluesBlues@BluesAvalanche
2024-01-27BluesBlue Jackets@BluesBlues
2024-01-29BluesBlues@BluesMaple Leafs
2024-01-30BluesBlues@BluesWild
2024-01-31BluesOilers@BluesBlues
2024-02-03BluesCoyotes@BluesBlues
2024-02-04BluesBlues@BluesSabres
2024-02-07BluesWild@BluesBlues
2024-02-10BluesAvalanche@BluesBlues
2024-02-11BluesDevils@BluesBlues
2024-02-14BluesBlues@BluesAvalanche
2024-02-17BluesKings@BluesBlues
2024-02-18BluesBlues@BluesCoyotes

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
87,933,334$ -3,000,000$ 84,933,312$ 5,066,688$

ArenaGoal HornAbout us
NameEnterprise Center
CitySt. Louis
Capacity18000
Season Ticket Holders50%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000200040001000
Ticket Price300$150$100$75$400$
Attendance141223118102465789377728113
Attendance PCT78.46%78.73%77.63%78.15%93.71%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
11 14260 - 79.22% 4,123,251$123,697,528$18000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
87,933,334$ 87,933,334$ 0$ -3,000,000$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
65,380,852$ 594,144$ 63,573,408$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
45,355,760$ 41 611,036$ 25,052,476$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
25,883,761$ 84,933,312$ 900,484,542$ 924,076,774$
Depth Chart RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Evander KaneAGE:32BluesCAN
Mike HoffmanAGE:33BluesCAN
Tomas TatarAGE:32BluesSVK
Ryan DzingelAGE:31BluesUSA
Alex GalchenyukAGE:29BluesUSA
Carter VerhaegheAGE:28BluesCAN
Alexander SuzdalevAGE:20BluesSWE
Emil BemstromAGE:24BluesSWE
Martin PospisilAGE:24BluesSVK
Arnaud DurandeauAGE:24BluesCAN
Ben MeyersAGE:24BluesUSA
Paul ByronAGE:34BluesCAN
Jared McCannAGE:27BluesCAN
Mikael BacklundAGE:34BluesSWE
Derek StepanAGE:33BluesUSA
Cody EakinAGE:32BluesCAN
Jack EichelAGE:26BluesUSA
Alex GalchenyukAGE:29BluesUSA
Vinnie HinostrozaAGE:29BluesUSA
Carter VerhaegheAGE:28BluesCAN
Caeden BankierAGE:20BluesCAN
Martin PospisilAGE:24BluesSVK
Ben MeyersAGE:24BluesUSA
Paul ByronAGE:34BluesCAN
Sasha ChmelevskiAGE:24BluesUSA
Jared McCannAGE:27BluesCAN
German RubtsovAGE:25BluesRUS
Cooper MarodyAGE:26BluesUSA
Jake ChiassonAGE:20BluesCAN
Ilya SafonovAGE:22BluesRUS
Vladimir TarasenkoAGE:31BluesRUS
Mike HoffmanAGE:33BluesCAN
Ryan DzingelAGE:31BluesUSA
Vinnie HinostrozaAGE:29BluesUSA
Lauri PajuniemiAGE:24BluesFIN
Emil BemstromAGE:24BluesSWE
Martin PospisilAGE:24BluesSVK
Andre LeeAGE:23BluesSWE
Paul ByronAGE:34BluesCAN
Sasha ChmelevskiAGE:24BluesUSA
Cooper MarodyAGE:26BluesUSA
Jake ChiassonAGE:20BluesCAN
Ilya SafonovAGE:22BluesRUS

Defense #1Defense #2Goalie
Ryan McDonaghAGE:34BluesUSA
Nick JensenAGE:33BluesUSA
Nikita ZaitsevAGE:31BluesRUS
Jordan OesterleAGE:31BluesUSA
Gustav ForslingAGE:27BluesSWE
Nick DeSimoneAGE:28BluesUSA
Devon ToewsAGE:29BluesCAN
Michael BenningAGE:21BluesCAN
Jackson van de LeestAGE:22BluesCAN
Jared McIsaacAGE:23BluesCAN
Juuso RiikolaAGE:29BluesFIN
Ethan BearAGE:26BluesCAN
Lucas CarlssonAGE:26BluesSWE
Elias PetterssonAGE:19BluesSWE
Dmitri KostenkoAGE:20BluesRUS
Connor HellebuyckAGE:30BluesUSA
Cayden PrimeauAGE:24BluesUSA
Joel HoferAGE:23BluesCAN
Dylan GarandAGE:21BluesCAN
Philip SvedebackAGE:21BluesSWE

Draft Picks
Year Round 1Round 2Round 3Round 4
9
10
11
12
13

** Conditional Draft Pick That Have Been Traded

Injuries
No Injury or Suspension.

Game Center

Oilers34-24-1, 69pts32Final
Blues30-24-6, 66pts

Blues30-24-6, 66pts25Final
Ducks28-24-8, 64pts

Wild30-21-10, 70ptsThu, Jan 11Enterprise Center
Blues30-24-6, 66pts

Blues30-24-6, 66ptsSat, Jan 13Gila River Arena
Coyotes36-16-8, 80pts

Blues30-24-6, 66ptsMon, Jan 15Madison Square Garden
Rangers22-31-6, 50pts

Team Leaders

GOALS
Alex Galchenyuk
21
ASSISTS
Tomas Tatar
28
POINTS
Tomas Tatar
46
PLUS/MINUS
Nick Jensen
16
WINS
Connor Hellebuyck
28
SV%
Connor Hellebuyck
0.921

Team Stats


Goals For
180
3.00 GFG
Shots For
2091
34.85 Avg
Power Play Percentage
19.9%
33 GF
Offensive Zone Start
51.6%
Goals Against
166
2.77 GAA
Shots Against
1982
33.03 Avg
Penalty Kill Percentage
81.3%
25 GA
Defensive Zone Start
48.4%
 

Team Info

Blues
General ManagerPaul Gagne
Head CoachMike Sullivan
Captain Jack Eichel
DivisionCentral

Blues Affiliation

Blues
Team NameRampage
CitySan Antonio
Head CoachDave Hakstol
DivisionCentral

Arena Info

StadiumEnterprise Center
Capacity18,000
Attendance14,260
Season Tickets9,000

Salary Cap

Total Cap Hit84,933,312$
Cap Space5,066,688$
Retains & Buyout-3,000,000$
Players In Salary Cap21

Finance

Team Revenue123,697,528$
Estimated Revenue173,173,521$
Estimated Expenses90,433,328$
Operating Income82,740,193$
Bank Account900,484,542$

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain

Jack Eichel

Mikael Backlund

Ryan McDonagh