BluesSaint-Louis Blues
7-1-1, 15pts · 1st 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
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
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 Sikura0RW100.0052357369666166685066635865525048525923925,000$/1yrs
Alex Formenton0LW100.0065357658737854586058596059505074535619925,000$/2yrs
Alexandre Fortin0LW100.0055357363715962635758585559515044535521706,666$/1yrs
Sami Niku0D100.0055357465736565653060595761515049535721775,000$/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
1Vladimir TarasenkoBluesBlues0RW9691571001129172020.69%418.971454000033063.64%11320001.7601
2Sidney CrosbyBluesBlues0C978158201332121421.87%619.8442638000140155.29%170231001.6801
3Nicklas BackstromBluesBlues0C90882208299210.00%216.7005534000120056.82%88172001.0611
4Jeff PetryBluesBlues0D925782024177711.76%1127.251234100044100.00%0912000.5700
5Jonathan DrouinBluesBlues0LW93368609107730.00%418.620114000041040.00%1022000.7201
6Jordan EberleBluesBlues0RW9325-12042841010.71%313.922022000002050.00%1092000.8001
7Radko GudasBluesBlues0D905521402412570.00%1221.150223300022000.00%017000.5300
8Tyler ToffoliBluesBlues0RW932524052241013.64%414.193033500000075.00%8123000.7800
9Marc-Edouard VlasicBluesBlues0D9033820711360.00%1026.430114100042000.00%0014000.2500
10Artem AnisimovBluesBlues0C92021401113918.18%211.11000200090055.56%54124000.4000
11Anthony CirelliBluesBlues0C9112010011168136.25%815.510000011340041.54%6597000.2901
12Nate ThompsonBluesBlues0C/LW91011001514777.14%815.0100015101360056.67%3023000.1500
13Steven KampferBluesBlues0D9011-12086100.00%512.4200010001000.00%023000.1800
14Brendan LeipsicBluesBlues0LW6000-10027660.00%18.3300000000000.00%180000.0000
15Gabriel BourqueBluesBlues0LW9000-22087440.00%512.690000000170055.56%913000.0000
16Adam GaudetteBluesBlues0C900004059340.00%28.32000000000033.33%335000.0000
17Marcus PetterssonBluesBlues0D9000-240105420.00%416.14000000016000.00%013000.0000
18Mike ReillyBluesBlues0D900036083130.00%417.45000330004000.00%014000.0000
Team Total or Average1592847754376017326810515010.45%9516.491117283791122667153.59%45914475000.5716
Filter Tips
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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 DubnykBluesBlues87100.9541.254790110216128000.000081311
2Aaron DellBluesBlues10010.8753.69650043216000.667617000
Team Total or Average97110.9441.545440114248144000.667698311
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
1BluesCanadiens2200000092741.00091625005220632914200541712459444.44%60100.00%010818458.70%8316749.70%5711151.35%48323915311571.4%14.3%96.3%110.6LUCKY
2BluesIslanders1000000145-110.500471100211134111757321018135240.00%9366.67%010818458.70%8316749.70%5711151.35%241524916750.0%11.8%84.4%96.1FUN
3BluesAvalanche1100000021121.0002350010102179503181019400.00%40100.00%110818458.70%8316749.70%5711151.35%211424713666.7%9.5%96.8%106.3LUCKY
4BluesCapitals1100000040421.0004812011300371571502510618600.00%30100.00%010818458.70%8316749.70%5711151.35%2416217147100.0%10.8%100.0%110.8LUCKY
5BluesCanucks1100000021121.000235001100291011802512624500.00%3166.67%010818458.70%8316749.70%5711151.35%2415207147100.0%6.9%96.0%102.9DULL
6BluesMaple Leafs1100000032121.00035800300030813902162167228.57%10100.00%010818458.70%8316749.70%5711151.35%261819714733.3%10.0%90.5%100.5FUN
7BluesStars1010000023-100.0002240020003014790311712176116.67%6266.67%010818458.70%8316749.70%5711151.35%241621714750.0%6.7%90.3%97.0Unlucky
8BluesSenators1100000021121.0002460001102785140291510216233.33%50100.00%010818458.70%8316749.70%5711151.35%23152181470.0%7.4%96.6%104.0DULL
_Vs Division2110000044020.5004590030105121161406225223610110.00%10280.00%110818458.70%8316749.70%5711151.35%46304515271360.0%7.8%93.5%101.4DULL
_Vs Conference3210000065140.6676814004110803127220873728601516.67%13376.92%110818458.70%8316749.70%5711151.35%70456622422171.4%7.5%94.3%101.8DULL
_Since Last GM Reset97100001281513150.8332848760115851271102838572489576173481122.92%37683.78%110818458.70%8316749.70%5711151.35%218144193711336665.4%10.3%94.0%104.3LUCKY
Total97100001281513150.8332848760115851271102838572489576173481122.92%37683.78%110818458.70%8316749.70%5711151.35%218144193711336665.4%10.3%94.0%104.3LUCKY

Puck Time
Offensive Zone 24
Neutral Zone 14
Defensive Zone 21
Puck Time
Offensive Zone Start 184
Neutral Zone Start 111
Defensive Zone Start 167
Puck Time
With Puck 31
Without Puck 29
Faceoffs
Faceoffs Won 248
Faceoffs Lost 214
Team Average Shots after League Average Shots after
1st Period 11.39.57
2nd Period 20.620.31
3rd Period 30.030.68
Overtime 30.831.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.70.64
2nd Period 2.61.65
3rd Period 3.12.67
Overtime 3.22.83
Even Strenght Goal 16
PP Goal 11
PK Goal 1
Empty Net Goal 0
Home Away
Win 43
Lost 10
Overtime Lost 01
PP Attempt 48
PP Goal 11
PK Attempt 37
PK Goal Against 6
Home
Shots For 30.1
Shots Against 27.6
Goals For 3.1
Goals Against 1.7
Hits 19.2
Shots Blocked 10.6
Pim 8.4
Cap Hit
Blues
Projected Total Cap Hit74,922,333$
Projected Cap Space4,577,667$
Retains And Buyout Cap Hit0$
Salary Cap To Date8,186,540$
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
1BluesCanadiens2200000092741.00091625005220632914200541712459444.44%60100.00%010818458.70%8316749.70%5711151.35%48323915311571.4%14.3%96.3%110.6LUCKY
2BluesIslanders1000000145-110.500471100211134111757321018135240.00%9366.67%010818458.70%8316749.70%5711151.35%241524916750.0%11.8%84.4%96.1FUN
3BluesAvalanche1100000021121.0002350010102179503181019400.00%40100.00%110818458.70%8316749.70%5711151.35%211424713666.7%9.5%96.8%106.3LUCKY
4BluesCapitals1100000040421.0004812011300371571502510618600.00%30100.00%010818458.70%8316749.70%5711151.35%2416217147100.0%10.8%100.0%110.8LUCKY
5BluesCanucks1100000021121.000235001100291011802512624500.00%3166.67%010818458.70%8316749.70%5711151.35%2415207147100.0%6.9%96.0%102.9DULL
6BluesMaple Leafs1100000032121.00035800300030813902162167228.57%10100.00%010818458.70%8316749.70%5711151.35%261819714733.3%10.0%90.5%100.5FUN
7BluesStars1010000023-100.0002240020003014790311712176116.67%6266.67%010818458.70%8316749.70%5711151.35%241621714750.0%6.7%90.3%97.0Unlucky
8BluesSenators1100000021121.0002460001102785140291510216233.33%50100.00%010818458.70%8316749.70%5711151.35%23152181470.0%7.4%96.6%104.0DULL
_Vs Division2110000044020.5004590030105121161406225223610110.00%10280.00%110818458.70%8316749.70%5711151.35%46304515271360.0%7.8%93.5%101.4DULL
_Vs Conference3210000065140.6676814004110803127220873728601516.67%13376.92%110818458.70%8316749.70%5711151.35%70456622422171.4%7.5%94.3%101.8DULL
_Since Last GM Reset97100001281513150.8332848760115851271102838572489576173481122.92%37683.78%110818458.70%8316749.70%5711151.35%218144193711336665.4%10.3%94.0%104.3LUCKY
Total97100001281513150.8332848760115851271102838572489576173481122.92%37683.78%110818458.70%8316749.70%5711151.35%218144193711336665.4%10.3%94.0%104.3LUCKY

Puck Time
Offensive Zone 24
Neutral Zone 14
Defensive Zone 21
Puck Time
Offensive Zone Start 184
Neutral Zone Start 111
Defensive Zone Start 167
Puck Time
With Puck 31
Without Puck 29
Faceoffs
Faceoffs Won 248
Faceoffs Lost 214
Team Average Shots after League Average Shots after
1st Period 11.39.57
2nd Period 20.620.31
3rd Period 30.030.68
Overtime 30.831.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.70.64
2nd Period 2.61.65
3rd Period 3.12.67
Overtime 3.22.83
Even Strenght Goal 16
PP Goal 11
PK Goal 1
Empty Net Goal 0
Home Away
Win 43
Lost 10
Overtime Lost 01
PP Attempt 48
PP Goal 11
PK Attempt 37
PK Goal Against 6
Home
Shots For 30.1
Shots Against 27.6
Goals For 3.1
Goals Against 1.7
Hits 19.2
Shots Blocked 10.6
Pim 8.4
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@BluesBlues
2019-10-27BluesBlues@BluesBruins
2019-10-28BluesBlues@BluesRed Wings
2019-10-31BluesWild@BluesBlues
2019-11-02BluesBlue Jackets@BluesBlues
2019-11-03BluesBlues@BluesWild
2019-11-06BluesBlues@BluesCanucks
2019-11-07BluesBlues@BluesOilers
2019-11-10BluesBlues@BluesFlames
2019-11-13BluesCoyotes@BluesBlues
2019-11-16BluesBlues@BluesBlue Jackets
2019-11-17BluesDucks@BluesBlues
2019-11-20BluesLightning@BluesBlues
2019-11-22BluesFlames@BluesBlues
2019-11-24BluesPredators@BluesBlues
2019-11-26BluesBlues@BluesPredators
2019-11-28BluesBlues@BluesLightning
2019-11-30BluesBlues@BluesStars
2019-12-01BluesPenguins@BluesBlues
2019-12-03BluesBlues@BluesBlackhawks
2019-12-05BluesBlues@BluesPenguins
2019-12-08BluesMaple Leafs@BluesBlues
2019-12-11BluesBlues@BluesSabres
2019-12-13BluesGolden Knights@BluesBlues
2019-12-15BluesBlackhawks@BluesBlues
2019-12-17BluesAvalanche@BluesBlues
2019-12-19BluesOilers@BluesBlues
2019-12-22BluesBlues@BluesSharks
2019-12-24BluesBlues@BluesKings
2019-12-28BluesBlues@BluesJets
2019-12-30BluesJets@BluesBlues
2020-01-01BluesBlues@BluesCoyotes
2020-01-03BluesBlues@BluesAvalanche
2020-01-05BluesBlues@BluesGolden Knights
2020-01-08BluesSharks@BluesBlues
2020-01-10BluesSabres@BluesBlues
2020-01-12BluesRangers@BluesBlues
2020-01-14BluesDucks@BluesBlues
2020-01-16BluesFlyers@BluesBlues
2020-01-19BluesBlues@BluesAvalanche
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$200$
Attendance28542234399414194134854
Attendance PCT95.14%93.76%94.14%97.07%97.08%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
36 17132 - 95.18% 616,708$3,083,539$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
8,186,540$ 74,922,333$ 8,186,540$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
22,201,481$ 166 402,808$ 66,866,128$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
71,007,343$ 74,922,333$ -251,177,793$ -299,983,655$
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
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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

Canadiens1-6-2, 4pts13Final
Blues7-1-1, 15pts

Avalanche3-5-1, 7pts12Final
Blues7-1-1, 15pts

Kings4-3-1, 9ptsFri, Oct 25Scottbank
Blues7-1-1, 15pts

Blues7-1-1, 15ptsSun, Oct 27TD BankNorth Garden
Bruins4-4-0, 8pts

Blues7-1-1, 15ptsMon, Oct 28Joe Louis Arena
Red Wings5-2-1, 11pts

Team Leaders

GOALS
Sidney Crosby
7
ASSISTS
Vladimir Tarasenko
9
POINTS
Vladimir Tarasenko
15
PLUS/MINUS
Sidney Crosby
8
WINS
Devan Dubnyk
7
SV%
Devan Dubnyk
0.954

Team Stats


Goals For
28
3.11 GFG
Shots For
271
30.11 Avg
Power Play Percentage
22.9%
11 GF
Offensive Zone Start
52.4%
Goals Against
15
1.67 GAA
Shots Against
248
27.56 Avg
Penalty Kill Percentage
83.8%
6 GA
Defensive Zone Start
47.6%
 

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
Attendance17,132
Season Tickets7,200

Salary Cap

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

Finance

Team Revenue3,083,539$
Estimated Revenue25,285,020$
Estimated Expenses75,052,668$
Operating Income-49,767,648$
Bank Account-251,177,793$

Team History

20197-1-1 (15PTS)
Record (W-L-OTL)43-42-6 (67PTS)
Playoff Appearances0
Playoff Record (W-L)0-
Stanley Cup0

Entry Draft