BluesSaint-Louis Blues
13-9-3, 29pts · 12th 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
Bryan Rust0LW/RW100.00773986787188917259788376787774525073283,500,000$/2yrs
Dylan Larkin (A)0C99.00634680897790868085787365767180825073246,100,000$/3yrs
Ryan Getzlaf (C)0C100.00827175668987927788766768738694455072358,250,000$/1yrs
Ilya Mikheyev0RW100.00663594808281846958716783687369375071251,645,000$/2yrs
Mikael Backlund0C/RW99.00633986737587907488776974728079505071315,350,000$/4yrs
Conor Garland0LW/RW100.0057378877638489785876776479697156507024775,000$/1yrs
Marcus Foligno0LW/RW100.00937966648882796655727181657871455070293,100,000$/3yrs
Patric Hornqvist (A)0RW100.00844375707385877059747765748481265070334,250,000$/2yrs
Yanni Gourde0C/LW/RW100.00734876736483907179737075727875355070285,166,666$/5yrs
Blake Comeau0LW/RW100.00854878647783876561676477638576375068342,400,000$/1yrs
Alex Chiasson0LW/RW100.00685578638876876559686764667973595066302,150,000$/1yrs
Conor Sheary0LW/RW100.0057359473657889685966695767777036506528735,000$/1yrs
Rasmus Ristolainen0D99.00966778709192896930786480547372745075255,400,000$/1yrs
Alec Martinez0D99.00673789717990866830786988538475365074334,000,000$/2yrs
Adam Pelech0D100.00813987668589846230726188527367565073261,600,000$/1yrs
Nick Holden0D100.00853594668987816830696378528474235072331,700,000$/2yrs
Calvin de Haan0D100.00893987657688816330725882537872675071294,550,000$/2yrs
Christian Wolanin0D100.0052388864788078633067576045716658506325900,000$/1yrs
Scratches
Martin Frk0RW100.0061359367788276735864726271756960506626725,000$/2yrs
Zac Dalpe0C100.0066359563807677647462657265807245506530750,000$/1yrs
Brandon Pirri0C/LW/RW100.0064428566738078637564656267786956506429775,000$/1yrs
Mackenzie MacEachern0LW100.0082438263786980655963646265736856506326900,000$/2yrs
Brogan Rafferty0D100.0058359565738479663067566854716655506525700,000$/1yrs
TEAM AVERAGE99.83734485697884846956716772657773505069
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Jaroslav Halak098.0091778669908991908991908690495084352,250,000$/1yrs
James Reimer0100.0088788384878688878688878287525083323,400,000$/1yrs
Scratches
TEAM AVERAGE99.0090788577898890898890898489515084
Farm
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Colin White0C/RW100.00724383737787787174726366696764805866234,750,000$/5yrs
Logan Brown0C100.0084758067966768667368615662656484586322863,333$/1yrs
Hudson Fasching0RW100.0059359562847273616362616261716657586125737,500$/1yrs
David Gustafsson0C100.0053359162817877647663616562616368586120817,500$/2yrs
Garrett Pilon0C100.0050359562728472627662616359656363586022745,000$/1yrs
Louie Belpedio0D100.0081359561718075603059566549696862586324700,000$/1yrs
Scratches
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Logan Thompson0100.007987858778777978777978677143587623800,000$/2yrs
Scratches
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
John Tortorella75757575757575USA6222,000,000$
General Manager
Michel Letarte
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
1Dylan LarkinBluesBlues0C2582129-12004611735616.84%1823.15571268000772150.29%6922716101.0026
2Bryan RustBluesBlues0LW/RW2511920-31603080253413.75%1119.203586700042060.00%251710000.8300
3Mikael BacklundBluesBlues0C/RW25611170160256520459.23%1321.4735867000431251.11%451810000.6301
4Alec MartinezBluesBlues0D2511213020274217202.38%6428.460447400092000.00%01327000.3700
5Patric HornqvistBluesBlues0RW2565112160447218488.33%716.333145400002041.67%36246000.5400
6Ryan GetzlafBluesBlues0C2528101195508128462.47%817.4815653000381053.53%340145000.4636
7Conor GarlandBluesBlues0LW/RW25369140205222385.77%1214.830002000841039.44%1421310000.4900
8Rasmus RistolainenBluesBlues0D2563902804937151116.22%3827.992247400078010.00%0527000.2600
9Ilya MikheyevBluesBlues0RW25347200204813346.25%512.760000000341038.46%1396100.4406
10Yanni GourdeBluesBlues0C/LW/RW254371180153681811.11%310.77000000010251.75%143011000.5200
11Adam PelechBluesBlues0D25156340242811113.57%2521.841124600061000.00%0230000.2200
12Nick HoldenBluesBlues0D251344003030683.33%3022.070004600066010.00%0619000.1400
13Marcus FolignoBluesBlues0LW/RW25224134038425324.76%915.710115300000021.05%1937000.2000
14Blake ComeauBluesBlues0LW/RW25033010024179160.00%19.120002000260050.00%433000.2600
15Alex ChiassonBluesBlues0LW/RW2511204012296113.45%27.48000100000033.33%655100.2100
16Conor ShearyBluesBlues0LW/RW242020003227209.09%27.49000000000041.38%5891100.2200
17Calvin de HaanBluesBlues0D25022-1201912310.00%1311.3100020008000.00%007000.1400
18Martin FrkBluesBlues0RW1101100021050.00%17.6000000000000.00%100002.6300
19Brogan RaffertyBluesBlues0D1000-10010000.00%09.2800000000000.00%000000.0000
20Christian WolaninBluesBlues0D24000-12016230.00%810.8800020001000.00%014000.0000
Team Total or Average4505898156919554788182514577.09%27016.5718314961700061810749.21%1524169204400.42519
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
1Jaroslav HalakBluesBlues2513930.9232.2114690154701314110.73719250461
2James ReimerBluesBlues20000.9711.03580013514000.0000025000
Team Total or Average2713930.9252.1615270155736328110.737192525461
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
1BluesDucks1100000031221.000347000120336151202580182150.00%000.00%027958247.94%30760850.49%16433449.10%221219817966.7%9.1%96.0%105.1LUCKY
2BluesStars1100000032121.00035800012036141111034118133133.33%40100.00%027958247.94%30760850.49%16433449.10%221320817850.0%8.3%94.1%102.5DULL
3BluesPredators1000000112-110.5001230001003410111242614426300.00%20100.00%027958247.94%30760850.49%16433449.10%22122110211033.3%2.9%92.3%95.2DULL
4BluesRed Wings1010000024-200.0002460002002911126031114245240.00%2150.00%027958247.94%30760850.49%16433449.10%21122081890.0%6.9%87.1%94.0Unlucky
5BluesJets1010000012-100.00012300001031416110291610194125.00%5180.00%027958247.94%30760850.49%16433449.10%20122281680.0%3.2%93.1%96.3DULL
6BluesAvalanche2110000055020.50059140103206915233105121123910110.00%6266.67%027958247.94%30760850.49%16433449.10%41224319351757.1%7.2%90.2%97.4Unlucky
7BluesCoyotes2110000066020.50061016101140591921190582112319222.22%6183.33%027958247.94%30760850.49%16433449.10%45274118321544.4%10.2%89.7%99.8FUN
8BluesBlackhawks2000001144030.7504610001111641818231166281045500.00%5180.00%027958247.94%30760850.49%16433449.10%45264719371957.1%6.3%93.9%100.2DULL
9BluesHurricanes1100000031221.0003580001203010146029121016200.00%50100.00%027958247.94%30760850.49%16433449.10%191023917875.0%10.0%96.6%106.6LUCKY
10BluesKings31101000107340.6671019290016211093137401933537608337.50%16381.25%027958247.94%30760850.49%16433449.10%65366028532463.6%9.2%92.5%101.6LUCKY
11BluesLightning2200000073441.00071017001420702320270512218325360.00%9188.89%027958247.94%30760850.49%16433449.10%43254119351566.7%10.0%94.1%104.1LUCKY
12BluesOilers1000000112-110.5001120000112771176249827400.00%4175.00%027958247.94%30760850.49%16433449.10%251420918950.0%3.7%91.7%95.4DULL
13BluesSharks2110000045-120.500461000031068242618065172038400.00%100100.00%027958247.94%30760850.49%16433449.10%42244218351644.4%5.9%92.3%98.2DULL
14BluesBlue Jackets1000001032121.000336000202341771032510616000.00%3166.67%027958247.94%30760850.49%16433449.10%231423918875.0%8.8%92.0%100.8DULL
15BluesPanthers2010001046-220.5004590011115619172036615163010330.00%8450.00%027958247.94%30760850.49%16433449.10%42244519361833.3%7.1%90.9%98.1Unlucky
16BluesGolden Knights2020000047-300.0004711001120692519250642020447114.29%10280.00%027958247.94%30760850.49%16433449.10%44264218331537.5%5.8%89.1%94.9Unlucky
_Vs Division933000122021-1100.556203454112710129380100107152641115617334514.71%28582.14%027958247.94%30760850.49%16433449.10%197115195851617948.4%6.8%92.0%98.9DULL
_Vs Conference1867010134243-1190.52842711131141818359917320820922535200141360591016.95%681183.82%027958247.94%30760850.49%16433449.10%39823038116932015550.0%7.0%92.0%99.0DULL
_Since Last GM Reset25990103361592290.58061981591162823681825327827828737270195478811822.22%951881.05%027958247.94%30760850.49%16433449.10%54831653623644521551.2%7.5%92.0%99.5DULL
Total25990103361592290.58061981591162823681825327827828737270195478811822.22%951881.05%027958247.94%30760850.49%16433449.10%54831653623644521551.2%7.5%92.0%99.5DULL

Puck Time
Offensive Zone 21
Neutral Zone 17
Defensive Zone 21
Puck Time
Offensive Zone Start 582
Neutral Zone Start 334
Defensive Zone Start 608
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 750
Faceoffs Lost 774
Team Average Shots after League Average Shots after
1st Period 10.19.57
2nd Period 21.220.31
3rd Period 32.430.68
Overtime 33.531.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.20.64
2nd Period 1.41.65
3rd Period 2.32.67
Overtime 2.52.83
Even Strenght Goal 42
PP Goal 18
PK Goal 0
Empty Net Goal 1
Home Away
Win 67
Lost 36
Overtime Lost 30
PP Attempt 81
PP Goal 18
PK Attempt 95
PK Goal Against 18
Home
Shots For 32.7
Shots Against 29.5
Goals For 2.4
Goals Against 2.4
Hits 19.1
Shots Blocked 10.8
Pim 7.8
Cap Hit
Blues
Projected Total Cap Hit71,071,666$
Projected Cap Space10,428,334$
Retains And Buyout Cap Hit0$
Salary Cap To Date20,255,406$
Players In Salary Cap25
LTIR Players0
Blues Roster Pos Age Cap Hit 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27 2027-28 2028-29
Adam Pelech D261,600,000$1,600,000$
Alec Martinez D334,000,000$4,000,000$ 4,000,000$
Alex Chiasson LW/RW302,150,000$2,150,000$
Blake Comeau LW/RW342,400,000$2,400,000$
Brandon Pirri C/LW/RW29775,000$775,000$
Brogan Rafferty D25700,000$700,000$
Bryan Rust LW/RW283,500,000$3,500,000$ 3,500,000$
Calvin de Haan D294,550,000$4,550,000$ 4,550,000$
Christian Wolanin D25900,000$900,000$
Conor Garland LW/RW24775,000$775,000$
Conor Sheary LW/RW28735,000$735,000$
Dylan Larkin C246,100,000$6,100,000$ 6,100,000$ 6,100,000$
Ilya Mikheyev RW251,645,000$1,645,000$ 1,645,000$
James Reimer G323,400,000$3,400,000$
Jaroslav Halak G352,250,000$2,250,000$
Mackenzie MacEachern LW26900,000$900,000$ 900,000$
Marcus Foligno LW/RW293,100,000$3,100,000$ 3,100,000$ 3,100,000$
Martin Frk RW26725,000$725,000$ 725,000$
Mikael Backlund C/RW315,350,000$5,350,000$ 5,350,000$ 5,350,000$ 5,350,000$
Nick Holden D331,700,000$1,700,000$ 1,700,000$
Patric Hornqvist RW334,250,000$4,250,000$ 4,250,000$
Rasmus Ristolainen D255,400,000$5,400,000$
Ryan Getzlaf C358,250,000$8,250,000$
Yanni Gourde C/LW/RW285,166,666$5,166,666$ 5,166,666$ 5,166,666$ 5,166,666$ 5,166,666$
Zac Dalpe C30750,000$750,000$

Lines
Forward Lines


#0 - Bryan Rust


#0 - Dylan Larkin


#0 - Mikael Backlund


#0 - Marcus Foligno


#0 - Ryan Getzlaf


#0 - Patric Hornqvist


#0 - Conor Garland


#0 - Yanni Gourde


#0 - Ilya Mikheyev


#0 - Blake Comeau


#0 - Conor Sheary


#0 - Alex Chiasson

Defensive Pairings


#0 - Rasmus Ristolainen


#0 - Alec Martinez


#0 - Nick Holden


#0 - Adam Pelech


#0 - Calvin de Haan


#0 - Christian Wolanin

1st Power Play Unit


#0 - Bryan Rust


#0 - Dylan Larkin


#0 - Mikael Backlund


#0 - Rasmus Ristolainen


#0 - Alec Martinez

2nd Power Play Unit


#0 - Marcus Foligno


#0 - Ryan Getzlaf


#0 - Patric Hornqvist


#0 - Nick Holden


#0 - Adam Pelech

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
1BluesDucks1100000031221.000347000120336151202580182150.00%000.00%027958247.94%30760850.49%16433449.10%221219817966.7%9.1%96.0%105.1LUCKY
2BluesStars1100000032121.00035800012036141111034118133133.33%40100.00%027958247.94%30760850.49%16433449.10%221320817850.0%8.3%94.1%102.5DULL
3BluesPredators1000000112-110.5001230001003410111242614426300.00%20100.00%027958247.94%30760850.49%16433449.10%22122110211033.3%2.9%92.3%95.2DULL
4BluesRed Wings1010000024-200.0002460002002911126031114245240.00%2150.00%027958247.94%30760850.49%16433449.10%21122081890.0%6.9%87.1%94.0Unlucky
5BluesJets1010000012-100.00012300001031416110291610194125.00%5180.00%027958247.94%30760850.49%16433449.10%20122281680.0%3.2%93.1%96.3DULL
6BluesAvalanche2110000055020.50059140103206915233105121123910110.00%6266.67%027958247.94%30760850.49%16433449.10%41224319351757.1%7.2%90.2%97.4Unlucky
7BluesCoyotes2110000066020.50061016101140591921190582112319222.22%6183.33%027958247.94%30760850.49%16433449.10%45274118321544.4%10.2%89.7%99.8FUN
8BluesBlackhawks2000001144030.7504610001111641818231166281045500.00%5180.00%027958247.94%30760850.49%16433449.10%45264719371957.1%6.3%93.9%100.2DULL
9BluesHurricanes1100000031221.0003580001203010146029121016200.00%50100.00%027958247.94%30760850.49%16433449.10%191023917875.0%10.0%96.6%106.6LUCKY
10BluesKings31101000107340.6671019290016211093137401933537608337.50%16381.25%027958247.94%30760850.49%16433449.10%65366028532463.6%9.2%92.5%101.6LUCKY
11BluesLightning2200000073441.00071017001420702320270512218325360.00%9188.89%027958247.94%30760850.49%16433449.10%43254119351566.7%10.0%94.1%104.1LUCKY
12BluesOilers1000000112-110.5001120000112771176249827400.00%4175.00%027958247.94%30760850.49%16433449.10%251420918950.0%3.7%91.7%95.4DULL
13BluesSharks2110000045-120.500461000031068242618065172038400.00%100100.00%027958247.94%30760850.49%16433449.10%42244218351644.4%5.9%92.3%98.2DULL
14BluesBlue Jackets1000001032121.000336000202341771032510616000.00%3166.67%027958247.94%30760850.49%16433449.10%231423918875.0%8.8%92.0%100.8DULL
15BluesPanthers2010001046-220.5004590011115619172036615163010330.00%8450.00%027958247.94%30760850.49%16433449.10%42244519361833.3%7.1%90.9%98.1Unlucky
16BluesGolden Knights2020000047-300.0004711001120692519250642020447114.29%10280.00%027958247.94%30760850.49%16433449.10%44264218331537.5%5.8%89.1%94.9Unlucky
_Vs Division933000122021-1100.556203454112710129380100107152641115617334514.71%28582.14%027958247.94%30760850.49%16433449.10%197115195851617948.4%6.8%92.0%98.9DULL
_Vs Conference1867010134243-1190.52842711131141818359917320820922535200141360591016.95%681183.82%027958247.94%30760850.49%16433449.10%39823038116932015550.0%7.0%92.0%99.0DULL
_Since Last GM Reset25990103361592290.58061981591162823681825327827828737270195478811822.22%951881.05%027958247.94%30760850.49%16433449.10%54831653623644521551.2%7.5%92.0%99.5DULL
Total25990103361592290.58061981591162823681825327827828737270195478811822.22%951881.05%027958247.94%30760850.49%16433449.10%54831653623644521551.2%7.5%92.0%99.5DULL

Puck Time
Offensive Zone 21
Neutral Zone 17
Defensive Zone 21
Puck Time
Offensive Zone Start 582
Neutral Zone Start 334
Defensive Zone Start 608
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 750
Faceoffs Lost 774
Team Average Shots after League Average Shots after
1st Period 10.19.57
2nd Period 21.220.31
3rd Period 32.430.68
Overtime 33.531.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.20.64
2nd Period 1.41.65
3rd Period 2.32.67
Overtime 2.52.83
Even Strenght Goal 42
PP Goal 18
PK Goal 0
Empty Net Goal 1
Home Away
Win 67
Lost 36
Overtime Lost 30
PP Attempt 81
PP Goal 18
PK Attempt 95
PK Goal Against 18
Home
Shots For 32.7
Shots Against 29.5
Goals For 2.4
Goals Against 2.4
Hits 19.1
Shots Blocked 10.8
Pim 7.8
Schedule
DateMatchup Result Detail
2021-10-16BluesBlues@BluesAvalancheBlues2,Avalanche5RECAP
2021-10-18BluesBlues@BluesCoyotesBlues4,Coyotes2RECAP
2021-10-20BluesBlues@BluesGolden KnightsBlues1,Golden Knights3RECAP
2021-10-23BluesKings@BluesBluesKings3,Blues4 (OT)RECAP
2021-10-25BluesKings@BluesBluesKings2,Blues5RECAP
2021-10-28BluesAvalanche@BluesBluesAvalanche0,Blues3RECAP
2021-10-30BluesBlackhawks@BluesBluesBlackhawks2,Blues1 (SO)RECAP
2021-11-03BluesBlues@BluesKingsBlues1,Kings2RECAP
2021-11-04BluesBlues@BluesSharksBlues2,Sharks1RECAP
2021-11-07BluesBlues@BluesDucksBlues3,Ducks1RECAP
2021-11-09BluesBlues@BluesJetsBlues1,Jets2RECAP
2021-11-11BluesPredators@BluesBluesPredators2,Blues1 (SO)RECAP
2021-11-13BluesBlues@BluesHurricanesBlues3,Hurricanes1RECAP
2021-11-14BluesOilers@BluesBluesOilers2,Blues1 (SO)RECAP
2021-11-16BluesCoyotes@BluesBluesCoyotes4,Blues2RECAP
2021-11-18BluesSharks@BluesBluesSharks4,Blues2RECAP
2021-11-20BluesBlues@BluesStarsBlues3,Stars2RECAP
2021-11-22BluesGolden Knights@BluesBluesGolden Knights4,Blues3RECAP
2021-11-24BluesBlues@BluesRed WingsBlues2,Red Wings4RECAP
2021-11-26BluesBlues@BluesBlackhawksBlues3,Blackhawks2 (SO)RECAP
2021-11-27BluesBlue Jackets@BluesBluesBlue Jackets2,Blues3 (SO)RECAP
2021-11-30BluesLightning@BluesBluesLightning2,Blues4RECAP
2021-12-02BluesBlues@BluesLightningBlues3,Lightning1RECAP
2021-12-04BluesBlues@BluesPanthersBlues2,Panthers5RECAP
2021-12-07BluesPanthers@BluesBluesPanthers1,Blues2 (SO)RECAP
2021-12-09BluesRed Wings@BluesBlues
2021-12-11BluesCanadiens@BluesBlues
2021-12-12BluesDucks@BluesBlues
2021-12-14BluesBlues@BluesStars
2021-12-17BluesStars@BluesBlues
2021-12-19BluesBlues@BluesJets
2021-12-21BluesBlues@BluesSenators
2021-12-23BluesBlues@BluesMaple Leafs
2021-12-27BluesDevils@BluesBlues
2021-12-29BluesOilers@BluesBlues
2022-01-01BluesBlues@BluesWild
2022-01-05BluesBlues@BluesPenguins
2022-01-07BluesCapitals@BluesBlues
2022-01-09BluesStars@BluesBlues
2022-01-13BluesKraken@BluesBlues
2022-01-15BluesMaple Leafs@BluesBlues
2022-01-17BluesPredators@BluesBlues
2022-01-21BluesBlues@BluesKraken
2022-01-23BluesBlues@BluesCanucks
2022-01-24BluesBlues@BluesFlames
2022-01-27BluesFlames@BluesBlues
2022-01-29BluesJets@BluesBlues
2022-01-30BluesBlackhawks@BluesBlues
2022-02-01BluesBlues@BluesCanadiens
2022-02-25BluesSabres@BluesBlues
2022-02-27BluesBlues@BluesBlackhawks
2022-02-28BluesBlues@BluesFlyers
2022-03-02BluesBlues@BluesRangers
2022-03-05BluesBlues@BluesIslanders
2022-03-06BluesBlues@BluesDevils
2022-03-08BluesSenators@BluesBlues
2022-03-10BluesRangers@BluesBlues
2022-03-12BluesBlues@BluesPredators
2022-03-13BluesJets@BluesBlues
2022-03-17BluesPenguins@BluesBlues
2022-03-19BluesBlues@BluesBlue Jackets
2022-03-22BluesBlues@BluesCapitals
2022-03-24BluesFlyers@BluesBlues
2022-03-26BluesHurricanes@BluesBlues
2022-03-28BluesCanucks@BluesBlues
2022-03-30BluesBlues@BluesCanucks
2022-04-01BluesBlues@BluesOilers
2022-04-02BluesBlues@BluesFlames
2022-04-04BluesCoyotes@BluesBlues
2022-04-06BluesKraken@BluesBlues
2022-04-08BluesWild@BluesBlues
2022-04-09BluesIslanders@BluesBlues
2022-04-12BluesBlues@BluesBruins
2022-04-14BluesBlues@BluesSabres
2022-04-16BluesWild@BluesBlues
2022-04-17BluesBlues@BluesPredators
2022-04-19BluesBruins@BluesBlues
2022-04-21BluesBlues@BluesSharks
2022-04-23BluesBlues@BluesCoyotes
2022-04-24BluesBlues@BluesDucks
2022-04-26BluesBlues@BluesAvalanche
2022-04-29BluesGolden Knights@BluesBlues

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
71,071,666$ 0$ 71,071,666$ 10,428,334$

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

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000200040001000
Ticket Price100$60$35$20$200$
Attendance6684955902230494677211511
Attendance PCT92.85%93.17%96.04%97.44%95.93%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
29 17007 - 94.48% 598,543$7,182,521$18000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
71,071,666$ 71,071,666$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
20,825,406$ 71,071,666$ 20,255,406$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
17,357,759$ 143 365,358$ 52,246,194$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
58,367,800$ 71,071,666$ -418,158,553$ -459,168,594$
Depth Chart Star Player Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Yanni GourdeAGE:28BluesCAN
Bryan RustAGE:28BluesUSA
Marcus FolignoAGE:29BluesUSA
Blake ComeauAGE:34BluesCAN
Alex ChiassonAGE:30BluesCAN
Mackenzie MacEachernAGE:26BluesUSA
Conor GarlandAGE:24BluesUSA
Brandon PirriAGE:29BluesCAN
Conor ShearyAGE:28BluesUSA
Ryan GetzlafAGE:35BluesCAN
Dylan LarkinAGE:24BluesUSA
Mikael BacklundAGE:31BluesSWE
Yanni GourdeAGE:28BluesCAN
Colin WhiteAGE:23BluesUSA
Logan BrownAGE:22BluesUSA
David GustafssonAGE:20BluesSWE
Brandon PirriAGE:29BluesCAN
Zac DalpeAGE:30BluesCAN
Garrett PilonAGE:22BluesUSA
Mikael BacklundAGE:31BluesSWE
Yanni GourdeAGE:28BluesCAN
Colin WhiteAGE:23BluesUSA
Patric HornqvistAGE:33BluesSWE
Bryan RustAGE:28BluesUSA
Marcus FolignoAGE:29BluesUSA
Blake ComeauAGE:34BluesCAN
Alex ChiassonAGE:30BluesCAN
Ilya MikheyevAGE:25BluesRUS
Conor GarlandAGE:24BluesUSA
Brandon PirriAGE:29BluesCAN
Hudson FaschingAGE:25BluesUSA
Conor ShearyAGE:28BluesUSA
Martin FrkAGE:26BluesCZE

Defense #1Defense #2Goalie
Rasmus RistolainenAGE:25BluesFIN
Calvin de HaanAGE:29BluesCAN
Alec MartinezAGE:33BluesUSA
Nick HoldenAGE:33BluesCAN
Adam PelechAGE:26BluesCAN
Christian WolaninAGE:25BluesCAN
Brogan RaffertyAGE:25BluesUSA
Louie BelpedioAGE:24BluesUSA
James ReimerAGE:32BluesCAN
Jaroslav HalakAGE:35BluesSVK
Logan ThompsonAGE:23BluesCAN

Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6Ronde 7
2022
2023
2024
2025
2026

** 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 2022BluesBlues
Austin OsmanskiBluesBlues
Ben BetkerBluesBlues
Blake PietilaBluesBlues
Brandon DuhaimeBluesBlues
Brandon HickeyBluesBlues
Brendan PerliniBluesBluesLink
Brenden TroockBluesBlues
Brian HartBluesBlues
Calle SjalinBluesBlues2017159
Cam MorrisonBluesBlues
Chrisiano DigiacintoBluesBlues
Christopher PaquetteBluesBlues
Cole KrygierBluesBlues2018217
Cory ConacherBluesBluesLink
Dominic TurgeonBluesBluesLink
Dylan GuentherBluesBlues20217
Emil PetterssonBluesBlues
Eric EngstrandBluesBlues2020163
Gustav OlofssonBluesBluesLink
Hunter SkinnerBluesBlues2019115
J-F BerubeBluesBlues
Jackson HouckBluesBlues
Jake KucharskiBluesBlues2018213
Jared CoreauBluesBlues
Justin WilliamsBluesBluesLink
Leo LoofBluesBlues2020101
Luca MunzenbergerBluesBlues2021103
Magnus ChronaBluesBlues2018186
Maksim SushkoBluesBlues2017129
Mark ShoemakerBluesBlues
Martin HanzalBluesBluesLink
Martin PospisilBluesBlues2018124
Mason GeertsenBluesBlues
Mathew HillBluesBlues2019198
Matias RajaniemiBluesBlues2020194
Nikita NovikovBluesBlues2021199
Patrik HamrlaBluesBlues202171
Riley BruceBluesBlues
Sam MontembeaultBluesBluesLink
Spencer AbbottBluesBlues
Stanislav GalievBluesBlues
Tanner FaithBluesBlues
Trenton BourqueBluesBlues2017189
Ty MurchisonBluesBlues2021167
Vladislav LukashevichBluesBlues2021135
Vladislav YeryomenkoBluesBlues2018182
Wyatte WylieBluesBlues2018155

Injuries
No Injury or Suspension.

Game Center

Blues13-9-3, 29pts25Final
Panthers15-5-5, 35pts

Panthers15-5-5, 35pts12Final
Blues13-9-3, 29pts

Red Wings8-12-6, 22ptsThu, Dec 09Scottbank
Blues13-9-3, 29pts

Canadiens16-8-3, 35ptsSat, Dec 11Scottbank
Blues13-9-3, 29pts

Ducks11-13-3, 25ptsSun, Dec 12Scottbank
Blues13-9-3, 29pts

Team Leaders

GOALS
Bryan Rust
11
ASSISTS
Dylan Larkin
21
POINTS
Dylan Larkin
29
PLUS/MINUS
Nick Holden
4
WINS
Jaroslav Halak
13
SV%
James Reimer
0.971

Team Stats


Goals For
61
2.44 GFG
Shots For
818
32.72 Avg
Power Play Percentage
22.2%
18 GF
Offensive Zone Start
48.9%
Goals Against
59
2.36 GAA
Shots Against
737
29.48 Avg
Penalty Kill Percentage
81.1%
18 GA
Defensive Zone Start
51.1%
 

Team Info

Blues
General ManagerMichel Letarte
Head CoachJohn Tortorella
ConferenceConference Ouest
DivisionCentrale

Blues Affiliation

Blues
Team NamePeroria
CityPeroria
Head Coach
DivisionCentral

Arena Info

StadiumScottbank
Capacity18,000
Attendance17,007
Season Tickets7,200

Salary Cap

Total Cap Hit71,071,666$
Cap Hit Percentage87.2%
Projected Cap Space10,428,334$
Retains & Buyout0$

Finance

Team Revenue7,182,521$
Estimated Revenue24,540,280$
Estimated Expenses73,071,600$
Operating Income-48,531,320$
Bank Account-418,158,553$

Team History

202113-9-3 (29PTS)
Record (W-L-OTL)147-154-52 (346PTS)
Playoff Appearances0
Playoff Record (W-L)0-
Stanley Cup0

Entry Draft