BluesSaint-Louis Blues
28-27-9, 65pts · 11th 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
Dylan Larkin0C100.00684173817795898090797873796359835073226,100,000$/1yrs
Ryan Getzlaf (C)0C100.00824469769192807589776976728967445072338,250,000$/3yrs
Justin Williams0RW100.00633572757488957468737266739970345070364,500,000$/1yrs
Mikael Backlund0C100.00633570747488907389727279737563655070295,350,000$/6yrs
Alex Chiasson0LW/RW100.0069357572888786716068736872685661506828650,000$/1yrs
Yanni Gourde0C/LW/RW100.00675067746484937379717272735752365068261,000,000$/1yrs
Blake Comeau0LW/RW100.00873573667784906571656476658260435067322,400,000$/1yrs
Patric Hornqvist0RW100.00813576727084827169697166717959305067314,250,000$/4yrs
Colin White0C100.00593576737185847282736860705451825466211,285,000$/1yrs
Milan Lucic0LW100.00944756669081926570666363648661555066306,000,000$/3yrs
Conor Sheary0LW/RW100.00593579706482916970696865696053375065263,000,000$/2yrs
Brendan Perlini0LW/RW100.00643571688678816751646959685852845063221,363,000$/1yrs
Kris Letang0D100.00763581817595787930857280768064415074317,250,000$/4yrs
Rasmus Ristolainen0D100.00913583738995917230806369686760845072235,400,000$/3yrs
Adam Pelech0D100.00783576668782916630686378655853645069241,600,000$/1yrs
Alec Martinez0D100.00703585677988736730706378657257385068314,000,000$/2yrs
Calvin de Haan0D100.00853577657682876430676175636555705068274,550,000$/4yrs
Nick Holden0D100.00753579668982746530686271646755275067312,200,000$/2yrs
Scratches
Brandon Pirri0C100.0058357172724265716868735972605357506227650,000$/1yrs
Zac Dalpe0C100.0053356370795050707070705670565759506128725,000$/1yrs
Blake Pietila0LW100.0056356768725859685665655465525055505925667,500$/1yrs
TEAM AVERAGE100.00713773717881827060716869696957555067
Filter Tips
PriorityTypeDescription
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10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
James Reimer0100.0084807984838284838283777580485079303,400,000$/3yrs
Ryan Miller0100.0083718774828183828182769991225079382,000,000$/1yrs
Scratches
Sam Montembeault0100.007778908576757776757671516465607321725,833$/1yrs
TEAM AVERAGE100.0081768581807981807980757578455377
Farm
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Conor Garland0LW/RW100.0059357370637081696365716270525158706222680,556$/1yrs
Logan Brown0C100.00673567709651517070626255625050857059201,604,170$/2yrs
Martin Frk0RW100.0064357266786665665064615363545169705824650,000$/1yrs
Mackenzie MacEachern0LW100.0063357066786064665062635564515064705824650,000$/1yrs
Martin Hanzal0C100.00743576579880535775575757577758513158314,750,000$/2yrs
Cory Conacher0C100.0050355270645050707064645564585235315728575,000$/1yrs
Dominic Turgeon0C100.0055356363805152636953535053505067705322894,167$/1yrs
Christian Wolanin0D100.0054357470776365703063615763525059705923925,000$/1yrs
Louie Belpedio0D100.0051356262725151623054545055505064705222925,000$/1yrs
Brogan Rafferty0D100.0050357751737451513051515251505043705123533,750$/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
Michel Letarte
Player Stats
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)
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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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# 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
1Ryan GetzlafBluesBlues0C64114152-3700134240601584.58%4123.51428322000001832155.05%22185734000.69113
2Dylan LarkinBluesBlues0C64331548-2655662356513614.04%2521.3121526199101755750.70%1427222000.70313
3Kris LetangBluesBlues0D6483543-11007019174834.19%9826.7451520217000214100.00%08078100.5000
4Justin WilliamsBluesBlues0RW64162541-342075197581278.12%2119.955141920000001047.25%914721000.6459
5Mikael BacklundBluesBlues0C64171734062071190481058.95%2015.57591413500051252.62%7833415000.6824
6Alex ChiassonBluesBlues0LW/RW6471825-122074163421124.29%2615.451127000891040.16%1273421100.5101
7Patric HornqvistBluesBlues0RW6411132411809311837759.32%2215.85461013800002052.63%572016000.4700
8Conor ShearyBluesBlues0LW/RW641292191403112330639.76%1312.4445913800030150.00%161511000.5300
9Rasmus RistolainenBluesBlues0D6461319-1100997750337.79%8526.816410217000216410.00%02561000.2200
10Yanni GourdeBluesBlues0C/LW/RW644111572203712740803.15%1610.40000000001045.18%3323913000.4500
11Adam PelechBluesBlues0D6401212-2300914822290.00%6818.250003011132000.00%01540000.2100
12Alec MartinezBluesBlues0D64369-440436124274.92%7020.43145126011139000.00%01939000.1400
13Blake ComeauBluesBlues0LW/RW643587280806119314.92%2314.3702270001910129.73%37719000.1700
14Colin WhiteBluesBlues0C62527-7180218526705.88%78.640002000363049.73%183197000.2600
15Milan LucicBluesBlues0LW64437-6275895313327.55%139.750005000821172.73%11511000.2200
16Calvin de HaanBluesBlues0D64077-1140624013210.00%4716.0802212600018000.00%01024000.1400
17Brendan PerliniBluesBlues0LW/RW64156-9295335028432.00%109.091015000560033.33%9216000.2100
18Nick HoldenBluesBlues0D640332160312610170.00%5213.7600020006000.00%0728000.0700
Team Total or Average1150141240381-14501151200208565912426.76%65716.59579515217361231453221452.42%4006526466200.401140
Filter Tips
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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
1James ReimerBluesBlues41181750.9202.44235701961199566410.600253920573
2Ryan MillerBluesBlues28101040.9212.3615482061772368000.750162536244
Team Total or Average69282790.9202.413905211571971934410.6594164567117
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
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# 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
1BluesBruins1000000112-110.500123000101341111114295214400.00%110.00%0882161654.58%775149951.70%44389149.72%261720817950.0%2.9%93.1%96.0DULL
2BluesDucks30300000613-700.000610160012301002538370963735507228.57%14750.00%0882161654.58%775149951.70%44389149.72%61366925492340.0%6.0%86.5%92.5Unlucky
3BluesCanadiens2010001034-120.50034700011165211823559231642300.00%8362.50%0882161654.58%775149951.70%44389149.72%47263818391975.0%4.6%93.2%97.8DULL
4BluesStars421000011011-150.62510182800154012025454851313626798450.00%13653.85%0882161654.58%775149951.70%44389149.72%82478937733554.5%8.3%91.6%99.9DULL
5BluesPenguins2200000073441.00071219001420672233120692718346116.67%9188.89%0882161654.58%775149951.70%44389149.72%43254218341675.0%10.4%95.7%106.1LUCKY
6BluesPredators41200001511-630.3755914001310121364142412540206917317.65%10190.00%0882161654.58%775149951.70%44389149.72%86508637723616.7%4.1%91.2%95.3DULL
7BluesRangers1010000012-100.000112000010275517030141022100.00%50100.00%0882161654.58%775149951.70%44389149.72%17924917833.3%3.7%93.3%97.0DULL
8BluesRed Wings1000001021121.00022400010240101281433106232150.00%30100.00%0882161654.58%775149951.70%44389149.72%241422918850.0%5.0%97.0%102.0DULL
9BluesJets4220000088040.50081422001340137325352010945326618527.78%16287.50%0882161654.58%775149951.70%44389149.72%88508336683433.3%5.8%92.7%98.5DULL
10BluesAvalanche401002101012-240.500101828000542122354837614442247317211.76%12466.67%0882161654.58%775149951.70%44389149.72%89508735713750.0%8.2%91.7%99.9DULL
11BluesCapitals1010000012-100.000112000010401710130244815500.00%40100.00%0882161654.58%775149951.70%44389149.72%251417817933.3%2.5%91.7%94.2DULL
12BluesCanucks3120000078-120.333713200032201033237340903326488225.00%13469.23%1882161654.58%775149951.70%44389149.72%66396326492355.6%6.8%91.1%97.9Unlucky
13BluesMaple Leafs2100000155030.7505813002211702024218611534435240.00%7357.14%0882161654.58%775149951.70%44389149.72%48304117351660.0%7.1%91.8%98.9DULL
14BluesCoyotes3120000089-120.333813211015201023040320703226508450.00%13746.15%0882161654.58%775149951.70%44389149.72%69435427552666.7%7.8%87.1%95.0Unlucky
15BluesDevils1000000123-110.50023500101051101822544118253133.33%4175.00%0882161654.58%775149951.70%44389149.72%261721817933.3%3.9%93.2%97.1DULL
16BluesBlackhawks2110000056-120.500581300122065192224064231236800.00%6350.00%0882161654.58%775149951.70%44389149.72%45274017341762.5%7.7%90.6%98.3Unlucky
17BluesHurricanes1010000026-400.0002240020003081660329426600.00%2150.00%0882161654.58%775149951.70%44389149.72%211121917928.6%6.7%81.3%87.9Unlucky
18BluesFlames32100000118340.6671117280024509527333509526286515640.00%14564.29%0882161654.58%775149951.70%44389149.72%66355926542862.5%11.6%91.6%103.2LUCKY
19BluesSabres2110000045-120.5004610000310541519200511524418225.00%12466.67%0882161654.58%775149951.70%44389149.72%41224320351766.7%7.4%90.2%97.6Unlucky
20BluesKings2110000064220.500610160013205916192406126142911436.36%7271.43%0882161654.58%775149951.70%44389149.72%45274317301650.0%10.2%93.4%103.6LUCKY
21BluesFlyers1000000112-110.5001120000103912111652266184125.00%3166.67%0882161654.58%775149951.70%44389149.72%24142091990.0%2.6%90.9%93.5Unlucky
22BluesLightning2110000067-120.5006101600114067241528071258388337.50%4250.00%0882161654.58%775149951.70%44389149.72%44264216331637.5%9.0%90.1%99.1FUN
23BluesOilers30100011710-330.5007916000331882929251010934225411327.27%11463.64%0882161654.58%775149951.70%44389149.72%62347030562840.0%8.0%90.8%98.8Unlucky
24BluesSenators1100000041321.000481200112033520803288153266.67%4175.00%0882161654.58%775149951.70%44389149.72%2112228167100.0%12.1%96.9%109.0LUCKY
25BluesSharks2010001046-220.500461000030160152321455261457700.00%7271.43%0882161654.58%775149951.70%44389149.72%47273818381850.0%6.7%89.1%95.8Unlucky
26BluesIslanders1100000010121.00012301001034961902846203133.33%30100.00%0882161654.58%775149951.70%44389149.72%2012219178nan%2.9%100.0%102.9DULL
27BluesBlue Jackets2100100062441.00061117000321612117221582816293266.67%80100.00%0882161654.58%775149951.70%44389149.72%41244317341666.7%9.8%96.6%106.4LUCKY
28BluesWild3110001086240.6678132100115211427394468824265912325.00%13469.23%0882161654.58%775149951.70%44389149.72%68396228542571.4%7.0%93.2%100.2DULL
29BluesGolden Knights3120000068-220.33369150024008827313009229286211327.27%14285.71%0882161654.58%775149951.70%44389149.72%66376127522533.3%6.8%91.3%98.1DULL
_Vs Division2178002224654-8220.52446801260051920467917424824721661210140382801721.25%702071.43%0882161654.58%775149951.70%44389149.72%46026644819337418646.0%6.8%91.8%98.6DULL
_Vs Conference43132100243101120-19390.45310116726810154537613743754984853513294533337971584125.95%1635367.48%1882161654.58%775149951.70%44389149.72%94754890939376137847.2%7.4%91.0%98.3Unlucky
_Since Last GM Reset64212701267147165-18650.5081472403871123625512208658573373177197265750712022225725.68%2407170.42%1882161654.58%775149951.70%44389149.72%14238281352585113256148.9%7.0%91.6%98.7DULL
Total64212701267147165-18650.5081472403871123625512208658573373177197265750712022225725.68%2407170.42%1882161654.58%775149951.70%44389149.72%14238281352585113256148.9%7.0%91.6%98.7DULL

Puck Time
Offensive Zone 22
Neutral Zone 17
Defensive Zone 21
Puck Time
Offensive Zone Start 1616
Neutral Zone Start 891
Defensive Zone Start 1499
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 2100
Faceoffs Lost 1906
Team Average Shots after League Average Shots after
1st Period 9.19.57
2nd Period 20.620.31
3rd Period 32.030.68
Overtime 33.231.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.40.64
2nd Period 1.31.65
3rd Period 2.22.67
Overtime 2.42.83
Even Strenght Goal 88
PP Goal 57
PK Goal 1
Empty Net Goal 1
Home Away
Win 1018
Lost 1512
Overtime Lost 63
PP Attempt 222
PP Goal 57
PK Attempt 240
PK Goal Against 71
Home
Shots For 32.6
Shots Against 30.8
Goals For 2.3
Goals Against 2.6
Hits 18.8
Shots Blocked 10.3
Pim 7.9
Cap Hit
Blues
Projected Total Cap Hit77,316,333$
Projected Cap Space2,183,667$
Retains And Buyout Cap Hit0$
Salary Cap To Date60,311,716$
Players In Salary Cap24
LTIR Players0
Blues Roster Pos Age Cap Hit 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27
Adam Pelech D241,600,000$1,600,000$
Alec Martinez D314,000,000$4,000,000$ 4,000,000$
Alex Chiasson LW/RW28650,000$650,000$
Blake Comeau LW/RW322,400,000$2,400,000$
Blake Pietila LW25667,500$667,500$
Brandon Pirri C27650,000$650,000$
Brendan Perlini LW/RW221,363,000$1,363,000$
Calvin de Haan D274,550,000$4,550,000$ 4,550,000$ 4,550,000$ 4,550,000$
Colin White C211,285,000$1,285,000$
Conor Sheary LW/RW263,000,000$3,000,000$ 3,000,000$
Dylan Larkin C226,100,000$6,100,000$
James Reimer G303,400,000$3,400,000$ 3,400,000$ 3,400,000$
Justin Williams RW364,500,000$4,500,000$
Kris Letang D317,250,000$7,250,000$ 7,250,000$ 7,250,000$ 7,250,000$
Mikael Backlund C295,350,000$5,350,000$ 5,350,000$ 5,350,000$ 5,350,000$ 5,350,000$ 5,350,000$
Milan Lucic LW306,000,000$6,000,000$ 6,000,000$ 6,000,000$
Nick Holden D312,200,000$2,200,000$ 2,200,000$
Patric Hornqvist RW314,250,000$4,250,000$ 4,250,000$ 4,250,000$ 4,250,000$
Rasmus Ristolainen D235,400,000$5,400,000$ 5,400,000$ 5,400,000$
Ryan Getzlaf C338,250,000$8,250,000$ 8,250,000$ 8,250,000$
Ryan Miller G382,000,000$2,000,000$
Sam Montembeault G21725,833$725,833$
Yanni Gourde C/LW/RW261,000,000$1,000,000$
Zac Dalpe C28725,000$725,000$

Lines
Forward Lines


#0 - Dylan Larkin


#0 - Ryan Getzlaf


#0 - Justin Williams


#0 - Alex Chiasson


#0 - Mikael Backlund


#0 - Patric Hornqvist


#0 - Blake Comeau


#0 - Yanni Gourde


#0 - Conor Sheary


#0 - Milan Lucic


#0 - Colin White


#0 - Brendan Perlini

Defensive Pairings


#0 - Kris Letang


#0 - Rasmus Ristolainen


#0 - Adam Pelech


#0 - Alec Martinez


#0 - Calvin de Haan


#0 - Nick Holden

1st Power Play Unit


#0 - Dylan Larkin


#0 - Ryan Getzlaf


#0 - Justin Williams


#0 - Kris Letang


#0 - Rasmus Ristolainen

2nd Power Play Unit


#0 - Conor Sheary


#0 - Mikael Backlund


#0 - Patric Hornqvist


#0 - Alec Martinez


#0 - Calvin de Haan

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
1BluesBruins1000000112-110.500123000101341111114295214400.00%110.00%0882161654.58%775149951.70%44389149.72%261720817950.0%2.9%93.1%96.0DULL
2BluesDucks30300000613-700.000610160012301002538370963735507228.57%14750.00%0882161654.58%775149951.70%44389149.72%61366925492340.0%6.0%86.5%92.5Unlucky
3BluesCanadiens2010001034-120.50034700011165211823559231642300.00%8362.50%0882161654.58%775149951.70%44389149.72%47263818391975.0%4.6%93.2%97.8DULL
4BluesStars421000011011-150.62510182800154012025454851313626798450.00%13653.85%0882161654.58%775149951.70%44389149.72%82478937733554.5%8.3%91.6%99.9DULL
5BluesPenguins2200000073441.00071219001420672233120692718346116.67%9188.89%0882161654.58%775149951.70%44389149.72%43254218341675.0%10.4%95.7%106.1LUCKY
6BluesPredators41200001511-630.3755914001310121364142412540206917317.65%10190.00%0882161654.58%775149951.70%44389149.72%86508637723616.7%4.1%91.2%95.3DULL
7BluesRangers1010000012-100.000112000010275517030141022100.00%50100.00%0882161654.58%775149951.70%44389149.72%17924917833.3%3.7%93.3%97.0DULL
8BluesRed Wings1000001021121.00022400010240101281433106232150.00%30100.00%0882161654.58%775149951.70%44389149.72%241422918850.0%5.0%97.0%102.0DULL
9BluesJets4220000088040.50081422001340137325352010945326618527.78%16287.50%0882161654.58%775149951.70%44389149.72%88508336683433.3%5.8%92.7%98.5DULL
10BluesAvalanche401002101012-240.500101828000542122354837614442247317211.76%12466.67%0882161654.58%775149951.70%44389149.72%89508735713750.0%8.2%91.7%99.9DULL
11BluesCapitals1010000012-100.000112000010401710130244815500.00%40100.00%0882161654.58%775149951.70%44389149.72%251417817933.3%2.5%91.7%94.2DULL
12BluesCanucks3120000078-120.333713200032201033237340903326488225.00%13469.23%1882161654.58%775149951.70%44389149.72%66396326492355.6%6.8%91.1%97.9Unlucky
13BluesMaple Leafs2100000155030.7505813002211702024218611534435240.00%7357.14%0882161654.58%775149951.70%44389149.72%48304117351660.0%7.1%91.8%98.9DULL
14BluesCoyotes3120000089-120.333813211015201023040320703226508450.00%13746.15%0882161654.58%775149951.70%44389149.72%69435427552666.7%7.8%87.1%95.0Unlucky
15BluesDevils1000000123-110.50023500101051101822544118253133.33%4175.00%0882161654.58%775149951.70%44389149.72%261721817933.3%3.9%93.2%97.1DULL
16BluesBlackhawks2110000056-120.500581300122065192224064231236800.00%6350.00%0882161654.58%775149951.70%44389149.72%45274017341762.5%7.7%90.6%98.3Unlucky
17BluesHurricanes1010000026-400.0002240020003081660329426600.00%2150.00%0882161654.58%775149951.70%44389149.72%211121917928.6%6.7%81.3%87.9Unlucky
18BluesFlames32100000118340.6671117280024509527333509526286515640.00%14564.29%0882161654.58%775149951.70%44389149.72%66355926542862.5%11.6%91.6%103.2LUCKY
19BluesSabres2110000045-120.5004610000310541519200511524418225.00%12466.67%0882161654.58%775149951.70%44389149.72%41224320351766.7%7.4%90.2%97.6Unlucky
20BluesKings2110000064220.500610160013205916192406126142911436.36%7271.43%0882161654.58%775149951.70%44389149.72%45274317301650.0%10.2%93.4%103.6LUCKY
21BluesFlyers1000000112-110.5001120000103912111652266184125.00%3166.67%0882161654.58%775149951.70%44389149.72%24142091990.0%2.6%90.9%93.5Unlucky
22BluesLightning2110000067-120.5006101600114067241528071258388337.50%4250.00%0882161654.58%775149951.70%44389149.72%44264216331637.5%9.0%90.1%99.1FUN
23BluesOilers30100011710-330.5007916000331882929251010934225411327.27%11463.64%0882161654.58%775149951.70%44389149.72%62347030562840.0%8.0%90.8%98.8Unlucky
24BluesSenators1100000041321.000481200112033520803288153266.67%4175.00%0882161654.58%775149951.70%44389149.72%2112228167100.0%12.1%96.9%109.0LUCKY
25BluesSharks2010001046-220.500461000030160152321455261457700.00%7271.43%0882161654.58%775149951.70%44389149.72%47273818381850.0%6.7%89.1%95.8Unlucky
26BluesIslanders1100000010121.00012301001034961902846203133.33%30100.00%0882161654.58%775149951.70%44389149.72%2012219178nan%2.9%100.0%102.9DULL
27BluesBlue Jackets2100100062441.00061117000321612117221582816293266.67%80100.00%0882161654.58%775149951.70%44389149.72%41244317341666.7%9.8%96.6%106.4LUCKY
28BluesWild3110001086240.6678132100115211427394468824265912325.00%13469.23%0882161654.58%775149951.70%44389149.72%68396228542571.4%7.0%93.2%100.2DULL
29BluesGolden Knights3120000068-220.33369150024008827313009229286211327.27%14285.71%0882161654.58%775149951.70%44389149.72%66376127522533.3%6.8%91.3%98.1DULL
_Vs Division2178002224654-8220.52446801260051920467917424824721661210140382801721.25%702071.43%0882161654.58%775149951.70%44389149.72%46026644819337418646.0%6.8%91.8%98.6DULL
_Vs Conference43132100243101120-19390.45310116726810154537613743754984853513294533337971584125.95%1635367.48%1882161654.58%775149951.70%44389149.72%94754890939376137847.2%7.4%91.0%98.3Unlucky
_Since Last GM Reset64212701267147165-18650.5081472403871123625512208658573373177197265750712022225725.68%2407170.42%1882161654.58%775149951.70%44389149.72%14238281352585113256148.9%7.0%91.6%98.7DULL
Total64212701267147165-18650.5081472403871123625512208658573373177197265750712022225725.68%2407170.42%1882161654.58%775149951.70%44389149.72%14238281352585113256148.9%7.0%91.6%98.7DULL

Puck Time
Offensive Zone 22
Neutral Zone 17
Defensive Zone 21
Puck Time
Offensive Zone Start 1616
Neutral Zone Start 891
Defensive Zone Start 1499
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 2100
Faceoffs Lost 1906
Team Average Shots after League Average Shots after
1st Period 9.19.57
2nd Period 20.620.31
3rd Period 32.030.68
Overtime 33.231.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.40.64
2nd Period 1.31.65
3rd Period 2.22.67
Overtime 2.42.83
Even Strenght Goal 88
PP Goal 57
PK Goal 1
Empty Net Goal 1
Home Away
Win 1018
Lost 1512
Overtime Lost 63
PP Attempt 222
PP Goal 57
PK Attempt 240
PK Goal Against 71
Home
Shots For 32.6
Shots Against 30.8
Goals For 2.3
Goals Against 2.6
Hits 18.8
Shots Blocked 10.3
Pim 7.9
Schedule
DateMatchup Result Detail
2019-10-03BluesCapitals@BluesBluesCapitals2,Blues1RECAP
2019-10-06BluesStars@BluesBluesStars6,Blues1RECAP
2019-10-08BluesBlues@BluesMaple LeafsBlues3,Maple Leafs4 (SO)RECAP
2019-10-11BluesBlues@BluesSenatorsBlues4,Senators1RECAP
2019-10-13BluesBlues@BluesCanadiensBlues1,Canadiens3RECAP
2019-10-15BluesBlues@BluesIslandersBlues1,Islanders0RECAP
2019-10-18BluesCanucks@BluesBluesCanucks3,Blues2RECAP
2019-10-20BluesCanadiens@BluesBluesCanadiens1,Blues2 (SO)RECAP
2019-10-22BluesAvalanche@BluesBluesAvalanche2,Blues1 (OT)RECAP
2019-10-25BluesKings@BluesBluesKings2,Blues5RECAP
2019-10-27BluesBlues@BluesBruinsBlues1,Bruins2 (SO)RECAP
2019-10-28BluesBlues@BluesRed WingsBlues2,Red Wings1 (SO)RECAP
2019-10-31BluesWild@BluesBluesWild3,Blues4 (SO)RECAP
2019-11-02BluesBlue Jackets@BluesBluesBlue Jackets1,Blues2 (OT)RECAP
2019-11-03BluesBlues@BluesWildBlues1,Wild2RECAP
2019-11-06BluesBlues@BluesCanucksBlues4,Canucks1RECAP
2019-11-07BluesBlues@BluesOilersBlues3,Oilers2 (SO)RECAP
2019-11-10BluesBlues@BluesFlamesBlues4,Flames2RECAP
2019-11-13BluesCoyotes@BluesBluesCoyotes3,Blues1RECAP
2019-11-16BluesBlues@BluesBlue JacketsBlues4,Blue Jackets1RECAP
2019-11-17BluesDucks@BluesBluesDucks5,Blues4RECAP
2019-11-20BluesLightning@BluesBluesLightning2,Blues3RECAP
2019-11-22BluesFlames@BluesBluesFlames4,Blues3RECAP
2019-11-24BluesPredators@BluesBluesPredators2,Blues0RECAP
2019-11-26BluesBlues@BluesPredatorsBlues2,Predators1RECAP
2019-11-28BluesBlues@BluesLightningBlues3,Lightning5RECAP
2019-11-30BluesBlues@BluesStarsBlues6,Stars2RECAP
2019-12-01BluesPenguins@BluesBluesPenguins2,Blues4RECAP
2019-12-03BluesBlues@BluesBlackhawksBlues4,Blackhawks1RECAP
2019-12-05BluesBlues@BluesPenguinsBlues3,Penguins1RECAP
2019-12-08BluesMaple Leafs@BluesBluesMaple Leafs1,Blues2RECAP
2019-12-11BluesBlues@BluesSabresBlues1,Sabres3RECAP
2019-12-13BluesGolden Knights@BluesBluesGolden Knights5,Blues3RECAP
2019-12-15BluesBlackhawks@BluesBluesBlackhawks5,Blues1RECAP
2019-12-17BluesAvalanche@BluesBluesAvalanche3,Blues2 (OT)RECAP
2019-12-19BluesOilers@BluesBluesOilers3,Blues2 (SO)RECAP
2019-12-22BluesBlues@BluesSharksBlues3,Sharks2 (SO)RECAP
2019-12-24BluesBlues@BluesKingsBlues1,Kings2RECAP
2019-12-28BluesBlues@BluesJetsBlues4,Jets2RECAP
2019-12-30BluesJets@BluesBluesJets2,Blues0RECAP
2020-01-01BluesBlues@BluesCoyotesBlues4,Coyotes1RECAP
2020-01-03BluesBlues@BluesAvalancheBlues3,Avalanche4RECAP
2020-01-05BluesBlues@BluesGolden KnightsBlues1,Golden Knights2RECAP
2020-01-08BluesSharks@BluesBluesSharks4,Blues1RECAP
2020-01-10BluesSabres@BluesBluesSabres2,Blues3RECAP
2020-01-12BluesRangers@BluesBluesRangers2,Blues1RECAP
2020-01-14BluesDucks@BluesBluesDucks3,Blues1RECAP
2020-01-16BluesFlyers@BluesBluesFlyers2,Blues1 (SO)RECAP
2020-01-19BluesBlues@BluesAvalancheBlues4,Avalanche3 (SO)RECAP
2020-01-28BluesBlues@BluesCanucksBlues1,Canucks4RECAP
2020-01-29BluesBlues@BluesFlamesBlues4,Flames2RECAP
2020-02-01BluesBlues@BluesOilersBlues2,Oilers5RECAP
2020-02-02BluesBlues@BluesJetsBlues1,Jets3RECAP
2020-02-05BluesHurricanes@BluesBluesHurricanes6,Blues2RECAP
2020-02-07BluesJets@BluesBluesJets1,Blues3RECAP
2020-02-09BluesStars@BluesBluesStars1,Blues2RECAP
2020-02-12BluesBlues@BluesDucksBlues1,Ducks5RECAP
2020-02-14BluesBlues@BluesGolden KnightsBlues2,Golden Knights1RECAP
2020-02-16BluesPredators@BluesBluesPredators3,Blues2 (SO)RECAP
2020-02-17BluesBlues@BluesPredatorsBlues1,Predators5RECAP
2020-02-19BluesDevils@BluesBluesDevils3,Blues2 (SO)RECAP
2020-02-21BluesCoyotes@BluesBluesCoyotes5,Blues3RECAP
2020-02-22BluesBlues@BluesStarsBlues1,Stars2 (SO)RECAP
2020-02-24BluesBlues@BluesWildBlues3,Wild1RECAP
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
77,316,333$ 0$ 77,316,333$ 2,183,667$

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

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000200040001000
Ticket Price100$60$35$20$200$
Attendance1762251473905984211908729526
Attendance PCT94.74%95.09%96.52%96.04%95.25%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
10 17164 - 95.35% 606,198$18,792,129$18000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
77,316,333$ 77,316,333$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
60,311,716$ 77,316,333$ 60,311,716$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
6,061,977$ 40 415,679$ 16,627,160$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
16,627,160$ 77,316,333$ -324,865,688$ -335,430,871$
Depth Chart Star Player Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Milan LucicAGE:30BluesCAN
Conor ShearyAGE:26BluesUSA
Blake ComeauAGE:32BluesCAN
Brendan PerliniAGE:22BluesGBR
Yanni GourdeAGE:26BluesCAN
Conor GarlandAGE:22BluesUSA
Blake PietilaAGE:25BluesUSA
Alex ChiassonAGE:28BluesCAN
Mackenzie MacEachernAGE:24BluesUSA
Ryan GetzlafAGE:33BluesCAN
Dylan LarkinAGE:22BluesUSA
Mikael BacklundAGE:29BluesSWE
Martin HanzalAGE:31BluesCZE
Logan BrownAGE:20BluesUSA
Colin WhiteAGE:21BluesUSA
Yanni GourdeAGE:26BluesCAN
Dominic TurgeonAGE:22BluesCAN
Zac DalpeAGE:28BluesCAN
Brandon PirriAGE:27BluesCAN
Cory ConacherAGE:28BluesCAN
Justin WilliamsAGE:36BluesCAN
Patric HornqvistAGE:31BluesSWE
Conor ShearyAGE:26BluesUSA
Blake ComeauAGE:32BluesCAN
Brendan PerliniAGE:22BluesGBR
Yanni GourdeAGE:26BluesCAN
Conor GarlandAGE:22BluesUSA
Alex ChiassonAGE:28BluesCAN
Martin FrkAGE:24BluesCZE

Defense #1Defense #2Goalie
Kris LetangAGE:31BluesCAN
Rasmus RistolainenAGE:23BluesFIN
Calvin de HaanAGE:27BluesCAN
Alec MartinezAGE:31BluesUSA
Nick HoldenAGE:31BluesCAN
Adam PelechAGE:24BluesCAN
Christian WolaninAGE:23BluesCAN
Louie BelpedioAGE:22BluesUSA
Brogan RaffertyAGE:23BluesUSA
James ReimerAGE:30BluesCAN
Ryan MillerAGE:38BluesUSA
Sam MontembeaultAGE:21BluesCAN

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
Andrei LoktionovBluesBlues
Andrew DesjardinsBluesBlues
Austin OsmanskiBluesBlues
Ben BetkerBluesBlues
Benoit PouliotBluesBlues
Brandon DuhaimeBluesBlues
Brandon HickeyBluesBlues
Brenden TroockBluesBlues
Brian HartBluesBlues
Calle SjalinBluesBlues2017159
Calvin HeeterBluesBlues
Cam MorrisonBluesBlues
Chay GenowayBluesBlues
Chrisiano DigiacintoBluesBlues
Christopher PaquetteBluesBlues
Cole KrygierBluesBlues2018217
Collin OlsonBluesBlues
Daniel CarcilloBluesBlues
David GustafssonBluesBlues201862
Emil PetterssonBluesBlues
Garrett PilonBluesBlues
Gustav OlofssonBluesBlues
Hunter SkinnerBluesBlues2019115
Jackson HouckBluesBlues
Jake KucharskiBluesBlues2018213
Jared CoreauBluesBlues
Kyle QuinceyBluesBlues
Magnus ChronaBluesBlues2018186
Maksim SushkoBluesBlues2017129
Mark CundariBluesBlues
Mark ShoemakerBluesBlues
Martin EratBluesBlues
Martin PospisilBluesBlues2018124
Mason GeertsenBluesBlues
Mathew HillBluesBlues2019198
Mike WeberBluesBlues
Nick JohnsonBluesBlues
Raphael DiazBluesBlues
Richard BachmanBluesBlues
Riley BruceBluesBlues
Spencer AbbottBluesBlues
Stanislav GalievBluesBlues
Tanner FaithBluesBlues
Tomas VincourBluesBlues
Trenton BourqueBluesBlues2017189
Tyler CumaBluesBlues
Vladislav YeryomenkoBluesBlues2018182
Wyatte WylieBluesBlues2018155
Zachary NagelvoortBluesBlues
cedrick desjardinsBluesBlues

Injuries
No Injury or Suspension.

Game Center

Blues28-27-9, 65pts12Final
Stars38-18-6, 82pts

Blues28-27-9, 65pts31Final
Wild31-25-5, 67pts

Blackhawks29-23-10, 68ptsWed, Feb 26Scottbank
Blues28-27-9, 65pts

Islanders24-32-5, 53ptsFri, Feb 28Scottbank
Blues28-27-9, 65pts

Stars38-18-6, 82ptsSun, Mar 01Scottbank
Blues28-27-9, 65pts

Team Leaders

GOALS
Dylan Larkin
33
ASSISTS
Ryan Getzlaf
41
POINTS
Ryan Getzlaf
52
PLUS/MINUS
Conor Sheary
9
WINS
James Reimer
18
SV%
Ryan Miller
0.921

Team Stats


Goals For
147
2.30 GFG
Shots For
2086
32.59 Avg
Power Play Percentage
25.7%
57 GF
Offensive Zone Start
51.9%
Goals Against
165
2.58 GAA
Shots Against
1972
30.81 Avg
Penalty Kill Percentage
70.4%
71 GA
Defensive Zone Start
48.1%
 

Team Info

Blues
General ManagerMichel Letarte
Head Coach
ConferenceConference Ouest
DivisionCentrale

Blues Affiliation

Blues
Team NamePeroria
CityPeroria
Head Coach
DivisionCentral

Arena Info

StadiumScottbank
Capacity18,000
Attendance17,164
Season Tickets7,200

Salary Cap

Total Cap Hit77,316,333$
Cap Hit Percentage97.25%
Projected Cap Space2,183,667$
Retains & Buyout0$

Finance

Team Revenue18,792,129$
Estimated Revenue24,854,106$
Estimated Expenses76,938,876$
Operating Income-52,084,770$
Bank Account-324,865,688$

Team History

Playoff Appearances0
Playoff Record (W-L)0-
Stanley Cup0

Entry Draft