BluesSaint-Louis Blues
30-16-3, 63pts · 4th in Conference Ouest
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Sidney Crosby0C100.00683578887295928790887971838867565076318,700,000$/4yrs
Nicklas Backstrom0C100.00633580817993938090827267768666555072306,700,000$/2yrs
Vladimir Tarasenko0RW100.00693577807990897971767968797061705071267,500,000$/5yrs
Anthony Cirelli0C100.0069417571708295708968708870545166506821728,333$/1yrs
Artem Anisimov0C100.00593579718685917082706873697859555067304,550,000$/3yrs
Jonathan Drouin0LW100.00633576757386947470756965726359865067235,500,000$/6yrs
Jordan Eberle0RW100.00604178717086917066687066707758665066286,000,000$/1yrs
Tyler Toffoli0RW100.00613877707487956972696769686856615066264,600,000$/2yrs
Nate Thompson0C/LW100.00684174657981916484646375647859255065331,650,000$/1yrs
Brendan Leipsic0LW100.0066357269678275686969656667555261466324650,000$/1yrs
Gabriel Bourque0LW100.0077357564727468636164628463645447506328950,000$/1yrs
Adam Gaudette0C100.00623573677171836673636360655251545361211,491,667$/2yrs
Jeff Petry0D99.00833580738392957230776873707462455071305,500,000$/3yrs
Marc-Edouard Vlasic0D99.00593585687887856830736277658962475068317,000,000$/8yrs
Radko Gudas0D100.00944768667581906630696277646755545068283,350,000$/2yrs
Marcus Pettersson0D100.0070476868798095683072616966545175536522794,000$/1yrs
Mike Reilly0D100.0065357865768270643066635964565260506125725,000$/2yrs
Steven Kampfer0D100.0068357663727467633063636363585249506030650,000$/1yrs
Scratches
Anders Bjork0LW100.0053357566726760656558586361525155505822925,000$/1yrs
Dean Kukan0D100.0062357562787062613065585960525142505825725,000$/1yrs
Libor Hajek0D100.0057356554815052543050505050505076505120
TEAM AVERAGE99.90663775697681836958696569676656575065
Filter Tips
PriorityTypeDescription
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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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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
Devan Dubnyk099.0090939297898890898889828789505086324,333,333$/3yrs
Aaron Dell0100.0081747575807981807980745669355074291,900,000$/2yrs
Scratches
TEAM AVERAGE99.5086848486858486858485787279435080
Farm
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Dylan Sikura0RW100.0052357369666166685066635865525048665923925,000$/1yrs
Alexandre Fortin0LW100.0055357363715962635758585559515044675621706,666$/1yrs
Alex Formenton0LW100.0065357658737854586058596059505074675619925,000$/2yrs
Sami Niku0D100.0055357465736565653060595761515049675721775,000$/1yrs
Scratches
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Scratches
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
General Manager
Yannick Lavoie
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
1Sidney CrosbyBluesBlues0C4935407529180591776510819.77%2818.97131225169000219654.81%88311317031.6114
2Vladimir TarasenkoBluesBlues0RW4934377127300581947611217.53%1918.6111122317100047148.94%4712915121.5625
3Nicklas BackstromBluesBlues0C4992231-32003513557846.67%1315.2741115156000132152.26%50910410000.8314
4Jonathan DrouinBluesBlues0LW49101929284005445203422.22%2219.03044169000242145.95%372414100.6212
5Jeff PetryBluesBlues0D4972027222001288144308.64%7326.76156182303224200.00%03866000.4100
6Jordan EberleBluesBlues0RW4981119-61604211932656.72%1314.5934714200003045.95%375611000.5301
7Marc-Edouard VlasicBluesBlues0D49117182280356319351.59%8226.54178183011234100.00%0655000.2800
8Tyler ToffoliBluesBlues0RW497101701803610334716.80%1113.68561115700000058.62%295818000.5100
9Radko GudasBluesBlues0D4921416-137401265932313.39%7920.94235144000126010.00%01741000.3100
10Anthony CirelliBluesBlues0C496511-4360597934547.59%4116.3700000332311248.83%3423929000.2701
11Artem AnisimovBluesBlues0C49426-460268528504.71%1612.040002000690053.87%3104117000.2000
12Steven KampferBluesBlues0D49044722039251490.00%2612.8900010008000.00%01022000.1300
13Brendan LeipsicBluesBlues0LW46123-5140397427431.35%108.57000000011033.33%9374000.1500
14Gabriel BourqueBluesBlues0LW49033-7200564218300.00%3512.900000011990044.19%43722000.0900
15Marcus PetterssonBluesBlues0D49033-17500532716100.00%3917.470001000116000.00%01933000.0700
16Nate ThompsonBluesBlues0C/LW49202-2140534518214.44%2614.21000151012480053.00%217820000.0600
17Mike ReillyBluesBlues0D490221022027221290.00%2016.270111440005000.00%01125000.0500
18Adam GaudetteBluesBlues0C49000-5100216717280.00%58.42000000000060.00%10299000.0000
Team Total or Average87912621133779438094614425638248.74%55816.33406510516414591427281252.61%2473746428250.47517
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
1Devan DubnykBluesBlues46291320.9321.95265224861270696000.700104541346
2Aaron DellBluesBlues81310.8414.71306002415180000.6676444000
Team Total or Average54301630.9232.232958241101421776000.6871649481346
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
1BluesBruins1010000012-100.00012300010038151112032168216116.67%4175.00%051194853.90%52298852.83%27054050.00%24162271360.0%2.6%93.8%96.4DULL
2BluesDucks2110000034-120.500369002100512511150652712368225.00%6183.33%051194853.90%52298852.83%27054050.00%42264816291425.0%5.9%93.8%99.7DULL
3BluesCanadiens2200000092741.00091625005220632914200541712459444.44%60100.00%051194853.90%52298852.83%27054050.00%48323915311571.4%14.3%96.3%110.6LUCKY
4BluesCoyotes2100001052341.0005712002112601918207692020335120.00%10190.00%051194853.90%52298852.83%27054050.00%44294916301480.0%8.3%97.1%105.4DULL
5BluesIslanders1000000145-110.500471100211134111757321018135240.00%9366.67%051194853.90%52298852.83%27054050.00%241524916750.0%11.8%84.4%96.1FUN
6BluesRed Wings1010000036-300.0003580003002891360321710134125.00%5260.00%051194853.90%52298852.83%27054050.00%171127814633.3%10.7%81.3%92.0FUN
7BluesFlyers1100000031221.000347001200318149030912185240.00%60100.00%051194853.90%52298852.83%27054050.00%231422914650.0%9.7%96.7%106.3LUCKY
8BluesLightning2200000042241.000461000211053162413048161646600.00%8187.50%151194853.90%52298852.83%27054050.00%43274416311580.0%7.5%95.8%103.4DULL
9BluesAvalanche422000001011-140.500101525004150102313635012538447018316.67%21480.95%151194853.90%52298852.83%27054050.00%91599032582850.0%9.8%91.2%101.0LUCKY
10BluesCapitals1100000040421.0004812011300371571502510618600.00%30100.00%051194853.90%52298852.83%27054050.00%2416217147100.0%10.8%100.0%110.8LUCKY
11BluesCanucks2200000031241.0003470121006425201904522841900.00%4175.00%051194853.90%52298852.83%27054050.00%493239153016100.0%4.7%97.8%102.5DULL
12BluesMaple Leafs2100010044030.7504610004000612518180531583512325.00%4175.00%051194853.90%52298852.83%27054050.00%51364114271325.0%6.6%92.5%99.0DULL
13BluesStars2110000033020.500347012010562212220672422401119.09%11281.82%051194853.90%52298852.83%27054050.00%44284515291566.7%5.4%95.5%100.9DULL
14BluesPenguins2020000039-600.000369001200531910240622618346116.67%9277.78%051194853.90%52298852.83%27054050.00%44284415311422.2%5.7%85.5%91.1Unlucky
15BluesPredators2100100063341.00061016004011652916191502218334250.00%9188.89%051194853.90%52298852.83%27054050.00%45304615281366.7%9.2%94.0%103.2LUCKY
16BluesJets2110000079-220.50071017001330491617160673622446116.67%11281.82%051194853.90%52298852.83%27054050.00%39245215281346.2%14.3%86.6%100.9FUN
17BluesOilers22000000112941.000111829002450681228280451614377571.43%80100.00%151194853.90%52298852.83%27054050.00%50343815311575.0%16.2%95.6%111.7LUCKY
18BluesSabres2010001034-120.50033600110254182015458261850900.00%9188.89%051194853.90%52298852.83%27054050.00%51324017321650.0%5.6%93.1%98.7DULL
19BluesSharks20200000818-1000.0008142200251067173020062172641800.00%13838.46%151194853.90%52298852.83%27054050.00%47314215301444.4%11.9%71.0%82.9FUN
20BluesRangers1100000071621.0007142100241040101812023118206350.00%40100.00%051194853.90%52298852.83%27054050.00%241619715880.0%17.5%95.7%113.2LUCKY
21BluesBlue Jackets2100100063341.0006101600113157171127261261836600.00%9188.89%051194853.90%52298852.83%27054050.00%40265116281375.0%10.5%95.1%105.6LUCKY
22BluesWild2110000053220.5005914000320511025160553314286233.33%7185.71%051194853.90%52298852.83%27054050.00%39255016291360.0%9.8%94.5%104.3LUCKY
23BluesSenators1100000021121.0002460001102785140291510216233.33%50100.00%051194853.90%52298852.83%27054050.00%23152181470.0%7.4%96.6%104.0DULL
24BluesKings2200000052341.000591400221066242517047178551218.33%4175.00%051194853.90%52298852.83%27054050.00%53343515311680.0%7.6%95.7%103.3DULL
25BluesBlackhawks2010000135-210.25036900030053201023355272244600.00%11372.73%051194853.90%52298852.83%27054050.00%45274617321660.0%5.7%90.9%96.6Unlucky
26BluesFlames2200000041341.00046100112106925113306024223310220.00%11190.91%051194853.90%52298852.83%27054050.00%503544152512100.0%5.8%98.3%104.1DULL
27BluesGolden Knights2020000028-600.000235001010481812180702126415120.00%13376.92%051194853.90%52298852.83%27054050.00%38225116301416.7%4.2%88.6%92.7Unlucky
_Vs Division14660100134340150.536345488011110121376128116131441918014225951917.65%701381.43%151194853.90%52298852.83%27054050.00%30619633211420610054.3%9.0%91.9%100.9LUCKY
_Vs Conference3016110101175723370.61775121196032526223869293271301118823442785761152118.26%1392979.14%351194853.90%52298852.83%27054050.00%68144368124144621955.7%8.6%91.8%100.5DULL
_Since Last GM Reset4926160212212811216630.64312821234004454831714454934534912414215584409462014019.90%2204181.36%451194853.90%52298852.83%27054050.00%1125733110439673035955.3%8.9%92.1%101.0Unlucky
Total4926160212212811216630.64312821234004454831714454934534912414215584409462014019.90%2204181.36%451194853.90%52298852.83%27054050.00%1125733110439673035955.3%8.9%92.1%101.0Unlucky

Puck Time
Offensive Zone 22
Neutral Zone 14
Defensive Zone 22
Puck Time
Offensive Zone Start 948
Neutral Zone Start 540
Defensive Zone Start 988
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 1303
Faceoffs Lost 1173
Team Average Shots after League Average Shots after
1st Period 10.19.57
2nd Period 19.320.31
3rd Period 29.330.68
Overtime 29.831.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.90.64
2nd Period 1.91.65
3rd Period 2.52.67
Overtime 2.72.83
Even Strenght Goal 84
PP Goal 40
PK Goal 4
Empty Net Goal 0
Home Away
Win 1515
Lost 88
Overtime Lost 21
PP Attempt 201
PP Goal 40
PK Attempt 220
PK Goal Against 41
Home
Shots For 29.5
Shots Against 29.0
Goals For 2.6
Goals Against 2.3
Hits 19.3
Shots Blocked 11.4
Pim 9.0
Cap Hit
Blues
Projected Total Cap Hit74,922,333$
Projected Cap Space4,577,667$
Retains And Buyout Cap Hit0$
Salary Cap To Date44,036,452$
Players In Salary Cap23
LTIR Players0
Blues Roster Pos Age Cap Hit 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27
Aaron Dell G291,900,000$1,900,000$ 1,900,000$
Adam Gaudette C211,491,667$1,491,667$ 1,491,667$
Anders Bjork LW22925,000$925,000$
Anthony Cirelli C21728,333$728,333$
Artem Anisimov C304,550,000$4,550,000$ 4,550,000$ 4,550,000$
Brendan Leipsic LW24650,000$650,000$
Dean Kukan D25725,000$725,000$
Devan Dubnyk G324,333,333$4,333,333$ 4,333,333$ 4,333,333$
Gabriel Bourque LW28950,000$950,000$
Jeff Petry D305,500,000$5,500,000$ 5,500,000$ 5,500,000$
Jonathan Drouin LW235,500,000$5,500,000$ 5,500,000$ 5,500,000$ 5,500,000$ 5,500,000$ 5,500,000$
Jordan Eberle RW286,000,000$6,000,000$
Libor Hajek D200$0$
Marc-Edouard Vlasic D317,000,000$7,000,000$ 7,000,000$ 7,000,000$ 7,000,000$ 7,000,000$ 7,000,000$ 7,000,000$ 7,000,000$
Marcus Pettersson D22794,000$794,000$
Mike Reilly D25725,000$725,000$ 725,000$
Nate Thompson C/LW331,650,000$1,650,000$
Nicklas Backstrom C306,700,000$6,700,000$ 6,700,000$
Radko Gudas D283,350,000$3,350,000$ 3,350,000$
Sidney Crosby C318,700,000$8,700,000$ 8,700,000$ 8,700,000$ 8,700,000$
Steven Kampfer D30650,000$650,000$
Tyler Toffoli RW264,600,000$4,600,000$ 4,600,000$
Vladimir Tarasenko RW267,500,000$7,500,000$ 7,500,000$ 7,500,000$ 7,500,000$ 7,500,000$

Lines
Forward Lines


#0 - Jonathan Drouin


#0 - Sidney Crosby


#0 - Vladimir Tarasenko


#0 - Anthony Cirelli


#0 - Nicklas Backstrom


#0 - Jordan Eberle


#0 - Gabriel Bourque


#0 - Artem Anisimov


#0 - Tyler Toffoli


#0 - Brendan Leipsic


#0 - Nate Thompson


#0 - Adam Gaudette

Defensive Pairings


#0 - Jeff Petry


#0 - Marc-Edouard Vlasic


#0 - Radko Gudas


#0 - Marcus Pettersson


#0 - Steven Kampfer


#0 - Mike Reilly

1st Power Play Unit


#0 - Jonathan Drouin


#0 - Sidney Crosby


#0 - Vladimir Tarasenko


#0 - Jeff Petry


#0 - Marc-Edouard Vlasic

2nd Power Play Unit


#0 - Jordan Eberle


#0 - Nicklas Backstrom


#0 - Tyler Toffoli


#0 - Mike Reilly


#0 - Radko Gudas

Goalies
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
1BluesBruins1010000012-100.00012300010038151112032168216116.67%4175.00%051194853.90%52298852.83%27054050.00%24162271360.0%2.6%93.8%96.4DULL
2BluesDucks2110000034-120.500369002100512511150652712368225.00%6183.33%051194853.90%52298852.83%27054050.00%42264816291425.0%5.9%93.8%99.7DULL
3BluesCanadiens2200000092741.00091625005220632914200541712459444.44%60100.00%051194853.90%52298852.83%27054050.00%48323915311571.4%14.3%96.3%110.6LUCKY
4BluesCoyotes2100001052341.0005712002112601918207692020335120.00%10190.00%051194853.90%52298852.83%27054050.00%44294916301480.0%8.3%97.1%105.4DULL
5BluesIslanders1000000145-110.500471100211134111757321018135240.00%9366.67%051194853.90%52298852.83%27054050.00%241524916750.0%11.8%84.4%96.1FUN
6BluesRed Wings1010000036-300.0003580003002891360321710134125.00%5260.00%051194853.90%52298852.83%27054050.00%171127814633.3%10.7%81.3%92.0FUN
7BluesFlyers1100000031221.000347001200318149030912185240.00%60100.00%051194853.90%52298852.83%27054050.00%231422914650.0%9.7%96.7%106.3LUCKY
8BluesLightning2200000042241.000461000211053162413048161646600.00%8187.50%151194853.90%52298852.83%27054050.00%43274416311580.0%7.5%95.8%103.4DULL
9BluesAvalanche422000001011-140.500101525004150102313635012538447018316.67%21480.95%151194853.90%52298852.83%27054050.00%91599032582850.0%9.8%91.2%101.0LUCKY
10BluesCapitals1100000040421.0004812011300371571502510618600.00%30100.00%051194853.90%52298852.83%27054050.00%2416217147100.0%10.8%100.0%110.8LUCKY
11BluesCanucks2200000031241.0003470121006425201904522841900.00%4175.00%051194853.90%52298852.83%27054050.00%493239153016100.0%4.7%97.8%102.5DULL
12BluesMaple Leafs2100010044030.7504610004000612518180531583512325.00%4175.00%051194853.90%52298852.83%27054050.00%51364114271325.0%6.6%92.5%99.0DULL
13BluesStars2110000033020.500347012010562212220672422401119.09%11281.82%051194853.90%52298852.83%27054050.00%44284515291566.7%5.4%95.5%100.9DULL
14BluesPenguins2020000039-600.000369001200531910240622618346116.67%9277.78%051194853.90%52298852.83%27054050.00%44284415311422.2%5.7%85.5%91.1Unlucky
15BluesPredators2100100063341.00061016004011652916191502218334250.00%9188.89%051194853.90%52298852.83%27054050.00%45304615281366.7%9.2%94.0%103.2LUCKY
16BluesJets2110000079-220.50071017001330491617160673622446116.67%11281.82%051194853.90%52298852.83%27054050.00%39245215281346.2%14.3%86.6%100.9FUN
17BluesOilers22000000112941.000111829002450681228280451614377571.43%80100.00%151194853.90%52298852.83%27054050.00%50343815311575.0%16.2%95.6%111.7LUCKY
18BluesSabres2010001034-120.50033600110254182015458261850900.00%9188.89%051194853.90%52298852.83%27054050.00%51324017321650.0%5.6%93.1%98.7DULL
19BluesSharks20200000818-1000.0008142200251067173020062172641800.00%13838.46%151194853.90%52298852.83%27054050.00%47314215301444.4%11.9%71.0%82.9FUN
20BluesRangers1100000071621.0007142100241040101812023118206350.00%40100.00%051194853.90%52298852.83%27054050.00%241619715880.0%17.5%95.7%113.2LUCKY
21BluesBlue Jackets2100100063341.0006101600113157171127261261836600.00%9188.89%051194853.90%52298852.83%27054050.00%40265116281375.0%10.5%95.1%105.6LUCKY
22BluesWild2110000053220.5005914000320511025160553314286233.33%7185.71%051194853.90%52298852.83%27054050.00%39255016291360.0%9.8%94.5%104.3LUCKY
23BluesSenators1100000021121.0002460001102785140291510216233.33%50100.00%051194853.90%52298852.83%27054050.00%23152181470.0%7.4%96.6%104.0DULL
24BluesKings2200000052341.000591400221066242517047178551218.33%4175.00%051194853.90%52298852.83%27054050.00%53343515311680.0%7.6%95.7%103.3DULL
25BluesBlackhawks2010000135-210.25036900030053201023355272244600.00%11372.73%051194853.90%52298852.83%27054050.00%45274617321660.0%5.7%90.9%96.6Unlucky
26BluesFlames2200000041341.00046100112106925113306024223310220.00%11190.91%051194853.90%52298852.83%27054050.00%503544152512100.0%5.8%98.3%104.1DULL
27BluesGolden Knights2020000028-600.000235001010481812180702126415120.00%13376.92%051194853.90%52298852.83%27054050.00%38225116301416.7%4.2%88.6%92.7Unlucky
_Vs Division14660100134340150.536345488011110121376128116131441918014225951917.65%701381.43%151194853.90%52298852.83%27054050.00%30619633211420610054.3%9.0%91.9%100.9LUCKY
_Vs Conference3016110101175723370.61775121196032526223869293271301118823442785761152118.26%1392979.14%351194853.90%52298852.83%27054050.00%68144368124144621955.7%8.6%91.8%100.5DULL
_Since Last GM Reset4926160212212811216630.64312821234004454831714454934534912414215584409462014019.90%2204181.36%451194853.90%52298852.83%27054050.00%1125733110439673035955.3%8.9%92.1%101.0Unlucky
Total4926160212212811216630.64312821234004454831714454934534912414215584409462014019.90%2204181.36%451194853.90%52298852.83%27054050.00%1125733110439673035955.3%8.9%92.1%101.0Unlucky

Puck Time
Offensive Zone 22
Neutral Zone 14
Defensive Zone 22
Puck Time
Offensive Zone Start 948
Neutral Zone Start 540
Defensive Zone Start 988
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 1303
Faceoffs Lost 1173
Team Average Shots after League Average Shots after
1st Period 10.19.57
2nd Period 19.320.31
3rd Period 29.330.68
Overtime 29.831.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.90.64
2nd Period 1.91.65
3rd Period 2.52.67
Overtime 2.72.83
Even Strenght Goal 84
PP Goal 40
PK Goal 4
Empty Net Goal 0
Home Away
Win 1515
Lost 88
Overtime Lost 21
PP Attempt 201
PP Goal 40
PK Attempt 220
PK Goal Against 41
Home
Shots For 29.5
Shots Against 29.0
Goals For 2.6
Goals Against 2.3
Hits 19.3
Shots Blocked 11.4
Pim 9.0
Schedule
DateMatchup Result Detail
2019-10-03BluesCapitals@BluesBluesCapitals0,Blues4RECAP
2019-10-06BluesStars@BluesBluesStars3,Blues2RECAP
2019-10-08BluesBlues@BluesMaple LeafsBlues3,Maple Leafs2RECAP
2019-10-11BluesBlues@BluesSenatorsBlues2,Senators1RECAP
2019-10-13BluesBlues@BluesCanadiensBlues6,Canadiens1RECAP
2019-10-15BluesBlues@BluesIslandersBlues4,Islanders5 (SO)RECAP
2019-10-18BluesCanucks@BluesBluesCanucks1,Blues2RECAP
2019-10-20BluesCanadiens@BluesBluesCanadiens1,Blues3RECAP
2019-10-22BluesAvalanche@BluesBluesAvalanche1,Blues2RECAP
2019-10-25BluesKings@BluesBluesKings1,Blues3RECAP
2019-10-27BluesBlues@BluesBruinsBlues1,Bruins2RECAP
2019-10-28BluesBlues@BluesRed WingsBlues3,Red Wings6RECAP
2019-10-31BluesWild@BluesBluesWild2,Blues1RECAP
2019-11-02BluesBlue Jackets@BluesBluesBlue Jackets2,Blues3 (OT)RECAP
2019-11-03BluesBlues@BluesWildBlues4,Wild1RECAP
2019-11-06BluesBlues@BluesCanucksBlues1,Canucks0RECAP
2019-11-07BluesBlues@BluesOilersBlues5,Oilers1RECAP
2019-11-10BluesBlues@BluesFlamesBlues2,Flames0RECAP
2019-11-13BluesCoyotes@BluesBluesCoyotes1,Blues3RECAP
2019-11-16BluesBlues@BluesBlue JacketsBlues3,Blue Jackets1RECAP
2019-11-17BluesDucks@BluesBluesDucks3,Blues1RECAP
2019-11-20BluesLightning@BluesBluesLightning1,Blues2RECAP
2019-11-22BluesFlames@BluesBluesFlames1,Blues2RECAP
2019-11-24BluesPredators@BluesBluesPredators1,Blues3RECAP
2019-11-26BluesBlues@BluesPredatorsBlues3,Predators2 (OT)RECAP
2019-11-28BluesBlues@BluesLightningBlues2,Lightning1RECAP
2019-11-30BluesBlues@BluesStarsBlues1,Stars0RECAP
2019-12-01BluesPenguins@BluesBluesPenguins3,Blues2RECAP
2019-12-03BluesBlues@BluesBlackhawksBlues2,Blackhawks3RECAP
2019-12-05BluesBlues@BluesPenguinsBlues1,Penguins6RECAP
2019-12-08BluesMaple Leafs@BluesBluesMaple Leafs2,Blues1 (OT)RECAP
2019-12-11BluesBlues@BluesSabresBlues1,Sabres3RECAP
2019-12-13BluesGolden Knights@BluesBluesGolden Knights2,Blues1RECAP
2019-12-15BluesBlackhawks@BluesBluesBlackhawks2,Blues1 (SO)RECAP
2019-12-17BluesAvalanche@BluesBluesAvalanche4,Blues3RECAP
2019-12-19BluesOilers@BluesBluesOilers1,Blues6RECAP
2019-12-22BluesBlues@BluesSharksBlues3,Sharks8RECAP
2019-12-24BluesBlues@BluesKingsBlues2,Kings1RECAP
2019-12-28BluesBlues@BluesJetsBlues4,Jets3RECAP
2019-12-30BluesJets@BluesBluesJets6,Blues3RECAP
2020-01-01BluesBlues@BluesCoyotesBlues2,Coyotes1 (SO)RECAP
2020-01-03BluesBlues@BluesAvalancheBlues1,Avalanche4RECAP
2020-01-05BluesBlues@BluesGolden KnightsBlues1,Golden Knights6RECAP
2020-01-08BluesSharks@BluesBluesSharks10,Blues5RECAP
2020-01-10BluesSabres@BluesBluesSabres1,Blues2 (SO)RECAP
2020-01-12BluesRangers@BluesBluesRangers1,Blues7RECAP
2020-01-14BluesDucks@BluesBluesDucks1,Blues2RECAP
2020-01-16BluesFlyers@BluesBluesFlyers1,Blues3RECAP
2020-01-19BluesBlues@BluesAvalancheBlues4,Avalanche2RECAP
2020-01-28BluesBlues@BluesCanucks
2020-01-29BluesBlues@BluesFlames
2020-02-01BluesBlues@BluesOilers
2020-02-02BluesBlues@BluesJets
2020-02-05BluesHurricanes@BluesBlues
2020-02-07BluesJets@BluesBlues
2020-02-09BluesStars@BluesBlues
2020-02-12BluesBlues@BluesDucks
2020-02-14BluesBlues@BluesGolden Knights
2020-02-16BluesPredators@BluesBlues
2020-02-17BluesBlues@BluesPredators
2020-02-19BluesDevils@BluesBlues
2020-02-21BluesCoyotes@BluesBlues
2020-02-22BluesBlues@BluesStars
2020-02-24BluesBlues@BluesWild
2020-02-26BluesBlackhawks@BluesBlues
2020-02-28BluesIslanders@BluesBlues
2020-03-01BluesStars@BluesBlues
2020-03-04BluesBlues@BluesRangers
2020-03-07BluesBlues@BluesDevils
2020-03-09BluesBlues@BluesBlackhawks
2020-03-11BluesPanthers@BluesBlues
2020-03-14BluesSharks@BluesBlues
2020-03-16BluesSenators@BluesBlues
2020-03-18BluesBlues@BluesFlyers
2020-03-20BluesBlues@BluesHurricanes
2020-03-22BluesBlues@BluesPanthers
2020-03-25BluesBlues@BluesCapitals
2020-03-28BluesKings@BluesBlues
2020-03-30BluesWild@BluesBlues
2020-04-01BluesRed Wings@BluesBlues
2020-04-03BluesBruins@BluesBlues
2020-04-05BluesBlues@BluesAvalanche

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
74,922,333$ 0$ 74,922,333$ 4,577,667$

ArenaGoal HornAbout us
NameScottbank
CitySaint-Louis
Capacity18000
Season Ticket Holders40%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000200040001000
Ticket Price100$60$35$25$200$
Attendance143800119557475329669923726
Attendance PCT95.87%95.65%95.06%96.70%94.90%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
16 17253 - 95.85% 619,746$15,493,653$18000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
74,922,333$ 74,922,333$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
44,036,452$ 74,922,333$ 44,036,452$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
9,915,938$ 77 402,808$ 31,016,216$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
32,007,276$ 74,922,333$ -277,767,746$ -299,859,084$
Depth Chart Star Player Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Jonathan DrouinAGE:23BluesCAN
Nate ThompsonAGE:33BluesUSA
Gabriel BourqueAGE:28BluesCAN
Anders BjorkAGE:22BluesUSA
Alex FormentonAGE:19BluesCAN
Alexandre FortinAGE:21BluesCAN
Brendan LeipsicAGE:24BluesCAN
Sidney CrosbyAGE:31BluesCAN
Nicklas BackstromAGE:30BluesSWE
Artem AnisimovAGE:30BluesRUS
Nate ThompsonAGE:33BluesUSA
Adam GaudetteAGE:21BluesUSA
Anthony CirelliAGE:21BluesCAN
Vladimir TarasenkoAGE:26BluesRUS
Jordan EberleAGE:28BluesCAN
Tyler ToffoliAGE:26BluesCAN
Dylan SikuraAGE:23BluesCAN

Defense #1Defense #2Goalie
Marc-Edouard VlasicAGE:31BluesCAN
Jeff PetryAGE:30BluesUSA
Radko GudasAGE:28BluesCZE
Marcus PetterssonAGE:22BluesSWE
Sami NikuAGE:21BluesFIN
Mike ReillyAGE:25BluesUSA
Dean KukanAGE:25BluesCHE
Steven KampferAGE:30BluesUSA
Libor HajekAGE:20BluesCZE
Devan DubnykAGE:32BluesCAN
Aaron DellAGE:29BluesCAN
Collin DeliaAGE:24BluesUSA
Charlie LindgrenAGE: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
1 ballo stl 2020BluesBlues
2 ballo stl 2020BluesBlues
Aaron HuglenBluesBlues2019112
Adam FoxBluesBlues
Antoine MorandBluesBlues
Beck MalenstynBluesBlues
Braden DoyleBluesBlues2019165
Cam HillisBluesBlues
Christophe LalancetteBluesBlues
Cody GlassBluesBlues20177
Cole GuttmanBluesBlues
Cole SchneiderBluesBlues
Colton HargroveBluesBlues
Connor HobbsBluesBlues
Daniel VladarBluesBlues
Ian ScottBluesBlues
Jake WalmanBluesBlues
James de HassBluesBlues
Jesper LindgrenBluesBlues
Jonny TychonickBluesBlues
Joseph WollBluesBlues
Kim NousiainenBluesBlues2019130
Kirill TyutyayevBluesBlues2019197
Layton AhacBluesBlues201987
Lukas ElvenesBluesBlues
Matthew PhillipsBluesBlues2016122
Michael EyssimontBluesBlues
Mitchell MattsonBluesBlues
Nick SwaneyBluesBlues
Noah DobsonBluesBlues
Pavel JenysBluesBlues
Pavel KoltigynBluesBlues
Peter ThomeBluesBlues
Rafael Harvey-PinardBluesBlues2019149
Rhett GardnerBluesBlues
Thomas SchemitschBluesBlues
Tommy CrossBluesBlues
Tyler InamotoBluesBlues
Vojtech BudikBluesBlues
William Worge KruBluesBlues
News

























Injuries
No Injury or Suspension.

Game Center

Flyers21-23-5, 47pts13Final
Blues30-16-3, 63pts

Blues30-16-3, 63pts42Final
Avalanche30-17-1, 61pts

Blues30-16-3, 63ptsTue, Jan 28Rogers Center
Canucks24-20-5, 53pts

Blues30-16-3, 63ptsWed, Jan 29Saddledome
Flames30-13-7, 67pts

Blues30-16-3, 63ptsSat, Feb 01Rexall Place
Oilers12-34-3, 27pts

Team Leaders

GOALS
Sidney Crosby
35
ASSISTS
Sidney Crosby
40
POINTS
Sidney Crosby
75
PLUS/MINUS
Sidney Crosby
29
WINS
Devan Dubnyk
29
SV%
Devan Dubnyk
0.932

Team Stats


Goals For
128
2.61 GFG
Shots For
1445
29.49 Avg
Power Play Percentage
19.9%
40 GF
Offensive Zone Start
49.0%
Goals Against
112
2.29 GAA
Shots Against
1421
29.00 Avg
Penalty Kill Percentage
81.4%
41 GA
Defensive Zone Start
51.0%
 

Team Info

Blues
General ManagerYannick Lavoie
Head Coach
ConferenceConference Ouest
DivisionCentrale

Blues Affiliation

Blues
Team NamePeroria
CityPeroria
Head Coach
DivisionDivision 5

Arena Info

StadiumScottbank
Capacity18,000
Attendance17,253
Season Tickets7,200

Salary Cap

Total Cap Hit74,922,333$
Cap Hit Percentage94.24%
Projected Cap Space4,577,667$
Retains & Buyout0$

Finance

Team Revenue15,493,653$
Estimated Revenue25,409,591$
Estimated Expenses75,052,668$
Operating Income-49,643,077$
Bank Account-277,767,746$

Team History

201930-16-3 (63PTS)
Record (W-L-OTL)66-57-8 (115PTS)
Playoff Appearances0
Playoff Record (W-L)0-
Stanley Cup0

Entry Draft