BluesSt-Louis Blues
8-9-5, 21pts · 10th in Western
Roster
Player Position CD CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO OV Age Contract
Auston Matthews (A)C/LW100.00663595838792938588799671926778079248,226,562$/3yrs
Jack EichelC100.00624384878390798586848364877182076258,226,562$/2yrs
Sean Couturier (C)C100.00673790748688907795817885787778076287,400,000$/4yrs
Mikko RantanenRW100.00693885828988928662848867856976076258,506,250$/3yrs
Johnny GaudreauLW/RW100.00613594856288938458827663897578072287,773,438$/1yrs
Connor BrownRW100.00573591757388907262737588747368071272,850,000$/1yrs
Yanni GourdeC/LW/RW100.00734876736483907179737075727875070293,766,667$/3yrs
Carl HagelinLW100.00563689816983876853726683718273069331,050,000$/3yrs
Miles WoodLW100.00763880787983927157677266737174069262,250,000$/3yrs
Drake BathersonRW100.0084359273788381726471766773656806923950,000$/1yrs
Mikko KoivuC100.00594285648682786786726380668878069381,000,000$/1yrs
Evan RodriguesC/LW/RW100.00593592707187816776656761647569066281,150,000$/3yrs
Brent BurnsD100.00664682769592937730817296568682079365,583,333$/3yrs
Dougie Hamilton (A)D100.00735179769890867830857781627572076285,000,000$/4yrs
Justin FaulkD100.00824383747887927330746884537771075295,916,667$/1yrs
Jakob ChychrunD100.00733979768391897730767983626568075234,545,312$/3yrs
Zdeno CharaD100.00788974619988936230706177529485072441,375,000$/1yrs
Mario FerraroD100.0088398670728889693073587351656307123950,000$/2yrs
Scratches
David BackesC/RW100.0084687761868074637267646562878306637950,000$/1yrs
MacKenzie WeegarD100.0085727769748985673080697555736807127950,000$/2yrs
TEAM AVERAGE100.00714585748187877457757375697674072
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO OV AGE CONTRACT
Pekka Rinne0100.0089818693888789888789888993086395,233,333$/1yrs
Carter Hart0100.009094877889889089889089667008423950,000$/1yrs
Scratches
TEAM AVERAGE100.0090888786898890898890897882085
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Babcock70758481868061CAN5732,000,000$
General Manager
Philippe Pelletier-Sarrazin
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 PPG PPA PPP PKG PKA PKP PKM GW GT FO% EG HT P/GP PSG PSS GSAVG
1Auston MatthewsBluesBlues0C/LW227815-280219528717.37%621.62224000282146.37%000.68130.79
2Sean CouturierBluesBlues0C2241115140328419444.76%719.4902200070055.96%100.68020.84
3Brent BurnsBluesBlues0D225914-31402446142910.87%4825.6931400073000.00%000.64000.59
4Johnny GaudreauBluesBlues0LW/RW2167132401754164311.11%118.4801100001233.33%000.62030.68
5Connor BrownBluesBlues0RW226511660116317469.52%620.55011000791148.89%000.50020.67
6Justin FaulkBluesBlues0D223811-5120385210235.77%3023.8225700068200.00%000.50000.46
7Jakob ChychrunBluesBlues0D223811-640243412418.82%2922.3103300069010.00%000.50000.46
8Dougie HamiltonBluesBlues0D224610-418047487238.33%2824.3621300052000.00%000.45000.39
9Mikko RantanenBluesBlues0RW223710-9120378620723.49%420.1204400000053.85%000.45020.48
10Jack EichelBluesBlues0C22369-820255922525.08%118.8313400002051.46%000.41020.42
11Yanni GourdeBluesBlues0C/LW/RW22347-460384411256.82%716.70213000680043.75%000.32000.30
12Carl HagelinBluesBlues0LW22336-20022782411.11%611.08000000531040.00%000.27000.28
13MacKenzie WeegarBluesBlues0D20066-82603813340.00%1315.760000005000.00%000.3000-0.05
14Evan RodriguesBluesBlues0C/LW/RW1823520031911010.53%08.20000000250139.53%000.28000.30
15Zdeno CharaBluesBlues0D20055831152913360.00%1716.1500000056000.00%000.25000.16
16Mario FerraroBluesBlues0D2213428020941211.11%1513.8500000013100.00%000.18000.18
17Miles WoodBluesBlues0LW2222404018215169.52%17.5200000000041.67%000.18010.20
18Drake BathersonBluesBlues0RW2201108035259210.00%011.1400000000048.28%000.05010.11
19Mikko KoivuBluesBlues0C210110006107120.00%27.75000000300043.56%000.05000.08
Team Total or Average40855103158-30167154658022165746.86%22117.1412243663200063310648.24%212900100.45116
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
1Pekka RinneBluesBlues156530.9162.8584320404760010.76913148212
2Carter HartBluesBlues92420.9142.4349421202320000.6673814100
Team Total or Average248950.9152.69133741607080010.750162222312
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
1BluesRangers1010000034-100.0003690003003081012039810174125.00%5260.00%042088047.73%39980849.38%17632454.32%231523813650.0%10.0%89.7%99.7FUN
2BluesGolden Knights30100101610-420.333610160023101033937237932324781218.33%12375.00%042088047.73%39980849.38%17632454.32%81567022371941.7%5.8%89.2%95.1Unlucky
3BluesPenguins2110000079-220.50071320002230522415130821914364125.00%7185.71%042088047.73%39980849.38%17632454.32%42285015261342.9%13.5%89.0%102.5FUN
4BluesJets1000010034-110.5003580020103114143038101721200.00%6183.33%042088047.73%39980849.38%17632454.32%221424713650.0%9.7%89.5%99.2FUN
5BluesKings3120000039-620.3333690002109025323301073027671218.33%11463.64%042088047.73%39980849.38%17632454.32%70466922402028.6%3.3%91.6%94.9DULL
6BluesCapitals1100000040421.0004812011300387141703412818200.00%40100.00%042088047.73%39980849.38%17632454.32%2619216115100.0%10.5%100.0%110.5LUCKY
7BluesPredators1000100021121.000235001001329111112011415200.00%20100.00%042088047.73%39980849.38%17632454.32%241623613766.7%6.3%95.0%101.3DULL
8BluesStars1000000123-110.500246001011301241183312815100.00%40100.00%042088047.73%39980849.38%17632454.32%251827711540.0%6.7%90.9%97.6Unlucky
9BluesAvalanche32100000109140.6671017270043301053345270872612559222.22%6183.33%042088047.73%39980849.38%17632454.32%72506722392050.0%9.5%89.7%99.2FUN
10BluesOilers1010000013-200.00012300010033717901954194125.00%20100.00%042088047.73%39980849.38%17632454.32%25172261260.0%3.0%84.2%87.2Unlucky
11BluesCanucks1000000123-110.50023500101044131118103771721200.00%50100.00%042088047.73%39980849.38%17632454.32%251627812540.0%4.5%91.9%96.4DULL
12BluesDucks42200000109140.500101929105230160515554012030248612325.00%120100.00%042088047.73%39980849.38%17632454.32%100718928502543.8%6.3%92.5%98.8DULL
_Vs Division1456001023140-9130.464315586101210905021611801551744411610430747714.89%46882.61%042088047.73%39980849.38%17632454.32%3502413231041809142.9%6.2%91.0%97.2Unlucky
_Vs Conference1857012033951-12170.47239691081016111126282032261892655415413737756814.29%60985.00%042088047.73%39980849.38%17632454.32%44730742213223011642.5%6.2%90.8%97.0Unlucky
_Since Last GM Reset513001001318-530.300132437014720164486749018451469415213.33%18572.22%042088047.73%39980849.38%17632454.32%12081518162653245.8%7.9%90.2%98.1Unlucky
Total2279012035364-11210.477539614911191914274824226523126709193169448661015.15%761284.21%042088047.73%39980849.38%17632454.32%53937151816228214245.3%7.1%91.0%98.1Unlucky

Puck Time
Offensive Zone 24
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 880
Neutral Zone Start 324
Defensive Zone Start 808
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 995
Faceoffs Lost 1017
Team Average Shots after League Average Shots after
1st Period 11.09.57
2nd Period 23.020.31
3rd Period 33.530.68
Overtime 34.731.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.90.64
2nd Period 1.71.65
3rd Period 2.42.67
Overtime 2.52.83
Even Strenght Goal 42
PP Goal 10
PK Goal 0
Empty Net Goal 1
Home Away
Win 44
Lost 27
Overtime Lost 41
PP Attempt 66
PP Goal 10
PK Attempt 76
PK Goal Against 12
Home
Shots For 34.0
Shots Against 32.2
Goals For 2.4
Goals Against 2.9
Hits 20.4
Shots Blocked 8.8
Pim 7.7
Cap Hit
Blues
Projected Total Cap Hit78,506,988$
Projected Cap Space4,993,012$
Retains And Buyout Cap Hit-4,900,000$
Salary Cap To Date18,258,076$
Players In Salary Cap22
Contracts30/50
LTIR Players0
Blues Roster Pos Age Cap Hit 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27 2027-28 2028-29
Auston Matthews C/LW248,226,562$8,100,000$ 8,556,250$ 9,025,000$
Brent Burns D365,583,333$6,300,000$ 5,700,000$ 4,750,000$
Carl Hagelin LW331,050,000$1,050,000$ 1,050,000$ 1,050,000$
Carter Hart G23950,000$950,000$
Connor Brown RW272,850,000$3,250,000$
David Backes C/RW37950,000$950,000$
Dougie Hamilton D285,000,000$4,500,000$ 5,000,000$ 5,000,000$ 5,500,000$
Drake Batherson RW23950,000$950,000$
Evan Rodrigues C/LW/RW281,150,000$1,150,000$ 1,150,000$ 1,150,000$
Jack Eichel C258,226,562$8,556,250$ 9,025,000$
Jakob Chychrun D234,545,312$4,275,000$ 4,856,250$ 5,225,000$
Johnny Gaudreau LW/RW287,773,438$8,550,000$
Justin Faulk D295,916,667$6,250,000$
MacKenzie Weegar D27950,000$950,000$ 950,000$
Mario Ferraro D23950,000$950,000$ 950,000$
Mikko Koivu C381,000,000$1,000,000$
Mikko Rantanen RW258,506,250$8,325,000$ 8,787,500$ 9,262,500$
Miles Wood LW262,250,000$2,000,000$ 2,500,000$ 2,500,000$
Pekka Rinne G395,233,333$4,500,000$
Sean Couturier C287,400,000$7,000,000$ 7,500,000$ 7,500,000$ 7,600,000$
Yanni Gourde C/LW/RW293,766,667$3,500,000$ 4,000,000$ 3,800,000$
Zdeno Chara D441,375,000$1,000,000$
Non-Roster Pos Age Cap Hit 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27 2027-28 2028-29
Andrew Shaw C/LW/RW30950,000$950,000$
Brian Elliott G361,500,000$1,500,000$ 1,500,000$
Byron Froese C/RW30950,000$950,000$
Carson Soucy D27950,000$950,000$ 950,000$
Cayden Primeau G22950,000$950,000$ 950,000$ 950,000$
James Reimer G331,000,000$1,000,000$ 1,000,000$
Nathan Bastian RW23950,000$950,000$
Rasmus Sandin D21950,000$950,000$ 950,000$

Lines
Forward Lines


Sean Couturier


Auston Matthews


Johnny Gaudreau


Yanni Gourde


Jack Eichel


Mikko Rantanen


Carl Hagelin


Mikko Koivu


Connor Brown


Miles Wood


Evan Rodrigues


Drake Batherson

Defensive Pairings


Brent Burns


Justin Faulk


Dougie Hamilton


Zdeno Chara


Jakob Chychrun


Mario Ferraro

1st Power Play Unit


Yanni Gourde


Auston Matthews


Johnny Gaudreau


Mikko Rantanen


Dougie Hamilton

2nd Power Play Unit


Sean Couturier


Jack Eichel


Connor Brown


Jakob Chychrun


Brent Burns

Goalies


Carter Hart


Pekka Rinne

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
1BluesRangers1010000034-100.0003690003003081012039810174125.00%5260.00%042088047.73%39980849.38%17632454.32%231523813650.0%10.0%89.7%99.7FUN
2BluesGolden Knights30100101610-420.333610160023101033937237932324781218.33%12375.00%042088047.73%39980849.38%17632454.32%81567022371941.7%5.8%89.2%95.1Unlucky
3BluesPenguins2110000079-220.50071320002230522415130821914364125.00%7185.71%042088047.73%39980849.38%17632454.32%42285015261342.9%13.5%89.0%102.5FUN
4BluesJets1000010034-110.5003580020103114143038101721200.00%6183.33%042088047.73%39980849.38%17632454.32%221424713650.0%9.7%89.5%99.2FUN
5BluesKings3120000039-620.3333690002109025323301073027671218.33%11463.64%042088047.73%39980849.38%17632454.32%70466922402028.6%3.3%91.6%94.9DULL
6BluesCapitals1100000040421.0004812011300387141703412818200.00%40100.00%042088047.73%39980849.38%17632454.32%2619216115100.0%10.5%100.0%110.5LUCKY
7BluesPredators1000100021121.000235001001329111112011415200.00%20100.00%042088047.73%39980849.38%17632454.32%241623613766.7%6.3%95.0%101.3DULL
8BluesStars1000000123-110.500246001011301241183312815100.00%40100.00%042088047.73%39980849.38%17632454.32%251827711540.0%6.7%90.9%97.6Unlucky
9BluesAvalanche32100000109140.6671017270043301053345270872612559222.22%6183.33%042088047.73%39980849.38%17632454.32%72506722392050.0%9.5%89.7%99.2FUN
10BluesOilers1010000013-200.00012300010033717901954194125.00%20100.00%042088047.73%39980849.38%17632454.32%25172261260.0%3.0%84.2%87.2Unlucky
11BluesCanucks1000000123-110.50023500101044131118103771721200.00%50100.00%042088047.73%39980849.38%17632454.32%251627812540.0%4.5%91.9%96.4DULL
12BluesDucks42200000109140.500101929105230160515554012030248612325.00%120100.00%042088047.73%39980849.38%17632454.32%100718928502543.8%6.3%92.5%98.8DULL
_Vs Division1456001023140-9130.464315586101210905021611801551744411610430747714.89%46882.61%042088047.73%39980849.38%17632454.32%3502413231041809142.9%6.2%91.0%97.2Unlucky
_Vs Conference1857012033951-12170.47239691081016111126282032261892655415413737756814.29%60985.00%042088047.73%39980849.38%17632454.32%44730742213223011642.5%6.2%90.8%97.0Unlucky
_Since Last GM Reset513001001318-530.300132437014720164486749018451469415213.33%18572.22%042088047.73%39980849.38%17632454.32%12081518162653245.8%7.9%90.2%98.1Unlucky
Total2279012035364-11210.477539614911191914274824226523126709193169448661015.15%761284.21%042088047.73%39980849.38%17632454.32%53937151816228214245.3%7.1%91.0%98.1Unlucky

Puck Time
Offensive Zone 24
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 880
Neutral Zone Start 324
Defensive Zone Start 808
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 995
Faceoffs Lost 1017
Team Average Shots after League Average Shots after
1st Period 11.09.57
2nd Period 23.020.31
3rd Period 33.530.68
Overtime 34.731.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.90.64
2nd Period 1.71.65
3rd Period 2.42.67
Overtime 2.52.83
Even Strenght Goal 42
PP Goal 10
PK Goal 0
Empty Net Goal 1
Home Away
Win 44
Lost 27
Overtime Lost 41
PP Attempt 66
PP Goal 10
PK Attempt 76
PK Goal Against 12
Home
Shots For 34.0
Shots Against 32.2
Goals For 2.4
Goals Against 2.9
Hits 20.4
Shots Blocked 8.8
Pim 7.7
Schedule
DateMatchup Result Detail
Sun, Oct 17BluesSTL@BluesVGKSTL0,VGK2RECAP
Mon, Oct 18BluesVGK@BluesSTLVGK4,STL3 (SO)RECAP
Tue, Oct 19BluesSTL@BluesANASTL1,ANA2RECAP
Fri, Oct 22BluesVGK@BluesSTLVGK4,STL3 (OT)RECAP
Sun, Oct 24BluesSTL@BluesANASTL4,ANA2RECAP
Tue, Oct 26BluesVAN@BluesSTLVAN3,STL2 (SO)RECAP
Thu, Oct 28BluesCOL@BluesSTLCOL2,STL4RECAP
Wed, Nov 3BluesSTL@BluesCOLSTL4,COL1RECAP
Fri, Nov 5BluesSTL@BluesANASTL2,ANA4RECAP
Sun, Nov 7BluesANA@BluesSTLANA1,STL3RECAP
Mon, Nov 8BluesSTL@BluesLOSSTL0,LOS4RECAP
Thu, Nov 11BluesSTL@BluesPITSTL5,PIT3RECAP
Fri, Nov 12BluesLOS@BluesSTLLOS1,STL2RECAP
Sun, Nov 14BluesDAL@BluesSTLDAL3,STL2 (SO)RECAP
Wed, Nov 17BluesSTL@BluesPITSTL2,PIT6RECAP
Thu, Nov 18BluesSTL@BluesNSHSTL2,NSH1 (OT)RECAP
Fri, Nov 19BluesEDM@BluesSTLEDM3,STL1RECAP
Sun, Nov 21BluesNYR@BluesSTLNYR4,STL3RECAP
Mon, Nov 22BluesSTL@BluesLOSSTL1,LOS4RECAP
Wed, Nov 24BluesWSH@BluesSTLWSH0,STL4RECAP
Fri, Nov 26BluesSTL@BluesWPGSTL3,WPG4 (OT)RECAP
Sat, Nov 27BluesSTL@BluesCOLSTL2,COL6RECAP
Sun, Nov 28BluesSTL@BluesVGK
Tue, Nov 30BluesOTT@BluesSTL
Thu, Dec 2BluesSTL@BluesMTL
Sat, Dec 4BluesNYI@BluesSTL
Mon, Dec 6BluesSTL@BluesDET
Wed, Dec 8BluesCGY@BluesSTL
Thu, Dec 9BluesSTL@BluesVAN
Sat, Dec 11BluesCOL@BluesSTL
Sun, Dec 12BluesSTL@BluesVAN
Tue, Dec 14BluesSTL@BluesNSH
Wed, Dec 15BluesFLA@BluesSTL
Sat, Dec 18BluesLOS@BluesSTL
Tue, Dec 21BluesSTL@BluesCGY
Wed, Dec 22BluesVAN@BluesSTL
Wed, Jan 5BluesSTL@BluesPIT
Thu, Jan 6BluesWPG@BluesSTL
Sat, Jan 8BluesSTL@BluesCOL
Sun, Jan 9BluesDAL@BluesSTL
Wed, Jan 12BluesSTL@BluesVGK
Thu, Jan 13BluesEDM@BluesSTL
Sun, Jan 16BluesVAN@BluesSTL
Mon, Jan 17BluesSTL@BluesWPG
Wed, Jan 19BluesSTL@BluesTBL
Thu, Jan 20BluesTOR@BluesSTL
Sun, Jan 23BluesSTL@BluesCGY
Mon, Jan 24BluesDAL@BluesSTL
Thu, Jan 27BluesSTL@BluesBUF
Fri, Jan 28BluesANA@BluesSTL
Sun, Jan 30BluesSTL@BluesCHI
Tue, Feb 1BluesSTL@BluesPHI
Wed, Feb 2BluesVGK@BluesSTL
Fri, Feb 4BluesANA@BluesSTL
Sun, Feb 6BluesSTL@BluesLOS
Wed, Feb 9BluesWSH@BluesSTL
Sat, Feb 12BluesWPG@BluesSTL
Sun, Feb 13BluesSTL@BluesVAN
Tue, Feb 15BluesVGK@BluesSTL
Thu, Feb 17BluesSTL@BluesBOS
Sat, Feb 19BluesLOS@BluesSTL
Sun, Feb 20BluesSTL@BluesDET
Wed, Mar 9BluesCOL@BluesSTL
Fri, Mar 11BluesSTL@BluesANA
Sun, Mar 13BluesPIT@BluesSTL
Mon, Mar 14BluesSTL@BluesANA
Wed, Mar 16BluesDET@BluesSTL
Fri, Mar 18BluesSTL@BluesEDM
Sun, Mar 20BluesPIT@BluesSTL
Mon, Mar 21BluesSTL@BluesBOS
Trade Deadline --- Trades cant be done after this day is simulated!
Wed, Mar 23BluesSTL@BluesCHI
Thu, Mar 24BluesCGY@BluesSTL
Sun, Mar 27BluesNJD@BluesSTL
Thu, Mar 31BluesSTL@BluesEDM
Sat, Apr 2BluesCHI@BluesSTL
Sun, Apr 3BluesSTL@BluesDAL
Tue, Apr 5BluesSTL@BluesNYI
Wed, Apr 6BluesNSH@BluesSTL
Sat, Apr 9BluesSTL@BluesDAL
Sun, Apr 10BluesDET@BluesSTL
Thu, Apr 14BluesNSH@BluesSTL
Mon, Apr 18BluesCHI@BluesSTL

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
84,056,250$ -4,900,000$ 78,506,988$ 4,993,012$

ArenaGoal HornAbout us
NameScottrade Center
CitySt-Louis
Capacity17562
Season Ticket Holders0%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity65005000350015621000
Ticket Price110$75$55$39$199$
Attendance614624932431680156209616
Attendance PCT94.56%98.65%90.51%100.00%96.16%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
31 16770 - 95.49% 2,194,067$21,940,673$17562100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
84,056,250$ 84,603,124$ 0$ -4,900,000$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
18,428,434$ 452,423$ 18,258,076$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
68,016,086$ 144 460,194$ 66,267,936$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
67,557,744$ 78,506,988$ 159,409,892$ 159,868,234$
Depth Chart Rising Star Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Auston MatthewsAGE:24BluesUSA
Johnny GaudreauAGE:28BluesUSA
Yanni GourdeAGE:29BluesCAN
Miles WoodAGE:26BluesUSA
Evan RodriguesAGE:28BluesCAN
Carl HagelinAGE:33BluesSWE
Andrew ShawAGE:30BluesCAN
Auston MatthewsAGE:24BluesUSA
Jack EichelAGE:25BluesUSA
Sean CouturierAGE:28BluesCAN
Yanni GourdeAGE:29BluesCAN
Evan RodriguesAGE:28BluesCAN
Mikko KoivuAGE:38BluesFIN
David BackesAGE:37BluesUSA
Andrew ShawAGE:30BluesCAN
Byron FroeseAGE:30BluesCAN
Mikko RantanenAGE:25BluesFIN
Johnny GaudreauAGE:28BluesUSA
Yanni GourdeAGE:29BluesCAN
Connor BrownAGE:27BluesCAN
Evan RodriguesAGE:28BluesCAN
Drake BathersonAGE:23BluesCAN
David BackesAGE:37BluesUSA
Andrew ShawAGE:30BluesCAN
Byron FroeseAGE:30BluesCAN
Nathan BastianAGE:23BluesCAN

Defense #1Defense #2Goalie
Justin FaulkAGE:29BluesUSA
Brent BurnsAGE:36BluesCAN
Dougie HamiltonAGE:28BluesCAN
Jakob ChychrunAGE:23BluesCAN
Zdeno CharaAGE:44BluesSVK
Mario FerraroAGE:23BluesCAN
MacKenzie WeegarAGE:27BluesCAN
Rasmus SandinAGE:21BluesSWE
Carson SoucyAGE:27BluesCAN
Pekka RinneAGE:39BluesFIN
Brian ElliottAGE:36BluesCAN
James ReimerAGE:33BluesCAN
Carter HartAGE:23BluesCAN
Cayden PrimeauAGE:22BluesUSA

Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5
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
Chase De LeoBluesBluesLink
Lukas DostalBluesBlues201968
Mason LohreiBluesBlues202181
Miles GendronBluesBlues201598
Nathan SmithBluesBlues201979
Nicholas BaptisteBluesBlues
Niklas NordgrenBluesBlues201983
Trevor CarrickBluesBluesLink
Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5
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
Chase De LeoBluesBluesLink
Lukas DostalBluesBlues201968
Mason LohreiBluesBlues202181
Miles GendronBluesBlues201598
Nathan SmithBluesBlues201979
Nicholas BaptisteBluesBlues
Niklas NordgrenBluesBlues201983
Trevor CarrickBluesBluesLink
News


























































































































































































































































































































Injuries
No Injury or Suspension.

Game Center

Blues8-9-5, 21pts34Final
Jets12-6-4, 28pts

Blues8-9-5, 21pts26Final
Avalanche9-10-1, 19pts

Blues8-9-5, 21ptsSun, Nov 28T-Mobile Arena
Golden Knights12-8-1, 25pts

Senators6-14-0, 12ptsTue, Nov 30Scottrade Center
Blues8-9-5, 21pts

Blues8-9-5, 21ptsThu, Dec 02Bell Centre
Canadiens10-5-4, 24pts

Team Leaders

GOALS
Auston Matthews
7
ASSISTS
Sean Couturier
11
POINTS
Auston Matthews
15
PLUS/MINUS
Zdeno Chara
8
WINS
Pekka Rinne
6
SV%
Pekka Rinne
0.916

Team Stats


Goals For
53
2.41 GFG
Shots For
748
34.00 Avg
Power Play Percentage
15.2%
10 GF
Offensive Zone Start
52.1%
Goals Against
64
2.91 GAA
Shots Against
709
32.23 Avg
Penalty Kill Percentage
84.2%
12 GA
Defensive Zone Start
47.9%

Injury status

Player POS Status Injury Out For Expected Return
 

St-Louis Blues Info

Blues
General ManagerPhilippe Pelletier-Sarrazin
Head CoachMike Babcock
ConferenceWestern
DivisionPacific

AHL Affiliation

Blues
Team NameSan Antonio Rampage
CitySan Antonio
Head Coach
DivisionPacific

Team Jerseys

Blues Blues Blues
Home Away Alternate

Arena Info

StadiumScottrade Center
Capacity17,562
Attendance16,770
Season Tickets0

Roster Info

Active Roster22/23
Contract Limit30/50
Prospects & Player's Rights8
Reserve List38/90

Salary Cap

Total Cap Hit78,506,988$
Cap Hit Percentage94.02%
Projected Cap Space4,993,012$
Retains & Buyout-4,900,000$

Finance

Team Revenue21,940,673$
Estimated Revenue89,956,759$
Estimated Expenses84,696,370$
Operating Income5,260,389$
Bank Account159,409,892$

Tickets

Section 100110$ | 94.56%
Section 20075$ | 98.65%
Section 30055$ | 90.51%
Section 40039$ | 100.00%
Suites199$ | 96.16%

Team History

Playoff Appearances
Playoff Record (W-L)0-
Stanley Cup

Entry Draft