BluesSaint-Louis Blues
11-8-2, 24pts · 5th 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
Joseph Veleno0C100.0084458880716396617262606725606066500221,212,917$/1yrs
Artturi Lehkonen0LW/RW100.0079448686678586923182847225717483500274,500,000$/5yrs
Alex Newhook0C/LW100.006942918468679968636570642560617050021908,333$/1yrs
Brock Boeser0RW100.0069438984757690833883756157707076500256,650,000$/3yrs
Andreas Athanasiou0LW/RW100.0065428792707372744870766977717274500283,000,000$/1yrs
Derick Brassard0C/LW100.008044858174627176656372677386877150035750,000$/1yrs
Ryan Poehling0C/LW100.007644947475627660736164902559597050023750,000$/1yrs
Rickard Rakell0LW/RW100.0082449386717993884179855985747581500295,000,000$/6yrs
Josh Anderson (A)0LW/RW100.0085667185847586713963817625697177500285,500,000$/5yrs
Sidney Crosby (C)0C100.0073438289728493959490886473899784500358,700,000$/3yrs
Kirby Dach0C/RW100.0073557984807981895380756680636376500213,362,500$/4yrs
Yakov Trenin0C/LW100.0087568376756996633763708425646573500251,700,000$/1yrs
Alexandre Carrier0D100.007856827263757766255248872564656450025733,333$/1yrs
Ben Chiarot0D100.0084568174858192602553498980747865500314,750,000$/4yrs
Jeff Petry0D100.0096478883778682782569498825818471500346,250,000$/3yrs
Samuel Girard0D100.0073429288628389662569498225687168500245,000,000$/5yrs
Quinn Hughes (A)0D100.0063418692629594992583507925656572500227,850,000$/5yrs
Nick Holden0D100.0077459475807088602556488625747765500351,300,000$/1yrs
Scratches
Alex Belzile0C/RW100.007364876671627060697171755358587150031750,000$/1yrs
Samuel Blais0LW/RW100.0099478782766163633368646075646668500261,525,000$/1yrs
Mathieu Olivier0RW100.009299676481617857296258752557586550025750,000$/1yrs
Matthew Highmore0LW/RW100.007367867067727466506560685758586650026750,000$/1yrs
Darren Raddysh0D100.008044916773708361255048672555556050026762,500$/2yrs
TEAM AVERAGE100.0079518680737384724468657445686971500
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Charlie Lindgren0100.006265636965588365656295505066500281,100,000$/3yrs
Frederik Andersen0100.006573739468638566716677717470500324,500,000$/1yrs
Scratches
TEAM AVERAGE100.006469688267618466686486616268500
Farm
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Beck Malenstyn (R)0C/LW100.007876836876748052654554635144445957024762,500$/2yrs
Cole Guttman (R)0C100.006140956659686468906280732545457357023950,000$/2yrs
Scratches
Nick Swaney (R)0RW100.007163906763697261505364626144446423025750,000$/1yrs
Chris Wideman0D100.006553537365627266255047662557575823032762,500$/2yrs
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Cayden Primeau0100.00565468805961505958563045455757023890,000$/3yrs
Scratches
Dustin Tokarski0100.00585063746159556260599548485923033775,000$/1yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
General Manager
Yannick Lavoie
Player Stats
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPM PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Sidney CrosbyBluesBlues0C2110192942004692225410.87%1022.0036949000511052.08%6492110011.2611
2Artturi LehkonenBluesBlues0LW/RW211214265802585285714.12%422.19561149000561016.22%372211011.1201
3Kirby DachBluesBlues0C/RW218111911753559312613.56%1316.9511240000231233.47%248154001.0711
4Brock BoeserBluesBlues0RW2189171602967153711.94%715.701234000001021.43%14133001.0301
5Quinn HughesBluesBlues0D21115161175205823291.72%2826.200885800038100.00%01823000.5800
6Rickard RakellBluesBlues0LW/RW2187155002641112419.51%1219.352134900000043.59%39112000.7401
7Jeff PetryBluesBlues0D2138111120423612138.33%2627.183255800058100.00%0519000.3900
8Andreas AthanasiouBluesBlues0LW/RW213710-1180124818276.25%811.660001000100033.33%3154000.8200
9Josh AndersonBluesBlues0LW/RW214481255383191612.90%415.721124000001016.67%1264000.4800
10Alex NewhookBluesBlues0C/LW21527-1000183482014.71%1212.670001000260035.71%1463000.5300
11Derick BrassardBluesBlues0C/LW214371201732132612.50%38.52000000031033.33%6151000.7800
12Samuel GirardBluesBlues0D21077-62016124100.00%2317.85000320003000.00%0212000.3700
13Yakov TreninBluesBlues0C/LW2124616019236188.70%29.48000000024000.00%093000.6000
14Ryan PoehlingBluesBlues0C/LW211342001411249.09%28.33000000011060.34%5874000.4600
15Nick HoldenBluesBlues0D2104422015125100.00%1515.02000000047000.00%0016000.2500
16Ben ChiarotBluesBlues0D21123-71004015246.67%3421.060003200063100.00%0211000.1401
17Joseph VelenoBluesBlues0C21112-102032103710.00%612.810001000271042.52%12772000.1500
18Alexandre CarrierBluesBlues0D210112135208580.00%1213.34000000011000.00%029000.0700
Team Total or Average37871121192-171502046467421739010.53%22116.4416274345500044711245.24%1207176141020.6226
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
1Frederik AndersenBluesBlues2111820.9073.1212690066710409000.4005210102
Team Total or Average2111820.9073.1212690066710409000.4005210102
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
1BluesDucks1010000015-400.000123000010358151204015416400.00%20100.00%018144141.04%21043148.72%15532248.14%201122917816.7%2.9%87.5%90.4Unlucky
2BluesCanadiens1010000014-300.0001230001003271213038141023100.00%50100.00%018144141.04%21043148.72%15532248.14%201122817720.0%3.1%89.5%92.6Unlucky
3BluesCoyotes33000000138561.0001323360055301043043310973114697457.14%8362.50%018144141.04%21043148.72%15532248.14%67436425482464.3%12.5%91.8%104.3LUCKY
4BluesLightning1010000023-100.000224000110371191703317814200.00%4250.00%018144141.04%21043148.72%15532248.14%221320816866.7%5.4%90.9%96.3Unlucky
5BluesAvalanche2110000054120.500591400032055121924077202740100.00%110100.00%018144141.04%21043148.72%15532248.14%39224619341555.6%9.1%94.8%103.9LUCKY
6BluesCanucks1100000091821.00091524003150391172102496274250.00%30100.00%018144141.04%21043148.72%15532248.14%231219917987.5%23.1%95.8%118.9LUCKY
7BluesStars1000000123-110.5002460001123671019536811326233.33%30100.00%018144141.04%21043148.72%15532248.14%241321919100.0%5.6%91.7%97.2DULL
8BluesPenguins1010000013-200.000123000100321281203710618400.00%30100.00%018144141.04%21043148.72%15532248.14%201121918825.0%3.1%91.9%95.0DULL
9BluesPredators1100000042221.000481200211028791202691113100.00%40100.00%018144141.04%21043148.72%15532248.14%211220817866.7%14.3%92.3%106.6LUCKY
10BluesJets2010100048-420.500459001021451018161662715467114.29%5260.00%018144141.04%21043148.72%15532248.14%41244517341633.3%8.9%87.9%96.8Unlucky
11BluesSharks1100000043121.0004711002110301171203491021400.00%50100.00%018144141.04%21043148.72%15532248.14%211220917857.1%13.3%91.2%104.5LUCKY
12BluesWild1010000013-200.00012300010025137502356214125.00%30100.00%018144141.04%21043148.72%15532248.14%22131981880.0%4.0%87.0%91.0Unlucky
13BluesKings1100000062421.0006915001230304141203192195120.00%10100.00%018144141.04%21043148.72%15532248.14%201222917871.4%20.0%93.5%113.5LUCKY
14BluesDevils1010000034-100.0003690011103418790381062511100.00%30100.00%018144141.04%21043148.72%15532248.14%231420816833.3%8.8%89.5%98.3Unlucky
15BluesBlackhawks1000010045-110.50048120003103151213143128302150.00%4175.00%018144141.04%21043148.72%15532248.14%19923920942.9%12.9%88.4%101.3FUN
16BluesFlames1000100087121.00081119000521376141343572266233.33%10100.00%018144141.04%21043148.72%15532248.14%241418819946.2%21.6%80.0%101.6FUN
17BluesKraken1100000032121.0003690020104411181503294243133.33%20100.00%018144141.04%21043148.72%15532248.14%251619715750.0%6.8%93.8%100.6DULL
_Vs Division11530110133330140.636335992008141033248411812073681129225128932.14%38684.21%018144141.04%21043148.72%15532248.14%236138239991929347.1%10.2%91.0%101.2FUN
_Vs Conference179402101645311240.7066410917300162323453913519320511564170120384541527.78%52688.46%018144141.04%21043148.72%15532248.14%37121836215229714651.0%11.9%90.6%102.5FUN
_Since Last GM Reset21980210171674240.5717112119200172725467418322925611710221150464621625.81%67888.06%018144141.04%21043148.72%15532248.14%45826944618836617948.2%10.5%90.6%101.1FUN
Total21980210171674240.5717112119200172725467418322925611710221150464621625.81%67888.06%018144141.04%21043148.72%15532248.14%45826944618836617948.2%10.5%90.6%101.1FUN

Puck Time
Offensive Zone 21
Neutral Zone 17
Defensive Zone 21
Puck Time
Offensive Zone Start 441
Neutral Zone Start 322
Defensive Zone Start 431
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 546
Faceoffs Lost 648
Team Average Shots after League Average Shots after
1st Period 8.79.57
2nd Period 19.620.31
3rd Period 31.830.68
Overtime 32.331.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.80.64
2nd Period 2.11.65
3rd Period 3.32.67
Overtime 3.52.83
Even Strenght Goal 55
PP Goal 16
PK Goal 0
Empty Net Goal 0
Home Away
Win 56
Lost 44
Overtime Lost 02
PP Attempt 62
PP Goal 16
PK Attempt 67
PK Goal Against 8
Home
Shots For 32.1
Shots Against 33.8
Goals For 3.4
Goals Against 3.2
Hits 22.1
Shots Blocked 10.5
Pim 7.1
Cap Hit
Blues
Projected Total Cap Hit78,054,583$
Projected Cap Space4,445,417$
Retains And Buyout Cap Hit0$
Salary Cap To Date20,326,700$
Players In Salary Cap25
LTIR Players0
Blues Roster Pos Age Cap Hit 2023-24 2024-25 2025-26 2026-27 2027-28 2028-29 2029-30 2030-31
Alex Belzile C/RW31750,000$750,000$
Alex Newhook C/LW21908,333$908,333$
Alexandre Carrier D25733,333$733,333$
Andreas Athanasiou LW/RW283,000,000$3,000,000$
Artturi Lehkonen LW/RW274,500,000$4,500,000$ 4,500,000$ 4,500,000$ 4,500,000$ 4,500,000$
Ben Chiarot D314,750,000$4,750,000$ 4,750,000$ 4,750,000$ 4,750,000$
Brock Boeser RW256,650,000$6,650,000$ 6,650,000$ 6,650,000$
Charlie Lindgren G281,100,000$1,100,000$ 1,100,000$ 1,100,000$
Darren Raddysh D26762,500$762,500$ 762,500$
Derick Brassard C/LW35750,000$750,000$
Frederik Andersen G324,500,000$4,500,000$
Jeff Petry D346,250,000$6,250,000$ 6,250,000$ 6,250,000$
Joseph Veleno C221,212,917$1,212,917$
Josh Anderson LW/RW285,500,000$5,500,000$ 5,500,000$ 5,500,000$ 5,500,000$ 5,500,000$
Kirby Dach C/RW213,362,500$3,362,500$ 3,362,500$ 3,362,500$ 3,362,500$
Mathieu Olivier RW25750,000$750,000$
Matthew Highmore LW/RW26750,000$750,000$
Nick Holden D351,300,000$1,300,000$
Quinn Hughes D227,850,000$7,850,000$ 7,850,000$ 7,850,000$ 7,850,000$ 7,850,000$
Rickard Rakell LW/RW295,000,000$5,000,000$ 5,000,000$ 5,000,000$ 5,000,000$ 5,000,000$ 5,000,000$
Ryan Poehling C/LW23750,000$750,000$
Samuel Blais LW/RW261,525,000$1,525,000$
Samuel Girard D245,000,000$5,000,000$ 5,000,000$ 5,000,000$ 5,000,000$ 5,000,000$
Sidney Crosby C358,700,000$8,700,000$ 8,700,000$ 8,700,000$
Yakov Trenin C/LW251,700,000$1,700,000$

Lines
Forward Lines


#0 - Artturi Lehkonen


#0 - Sidney Crosby


#0 - Rickard Rakell


#0 - Josh Anderson


#0 - Kirby Dach


#0 - Brock Boeser


#0 - Alex Newhook


#0 - Joseph Veleno


#0 - Andreas Athanasiou


#0 - Yakov Trenin


#0 - Ryan Poehling


#0 - Derick Brassard

Defensive Pairings


#0 - Quinn Hughes


#0 - Jeff Petry


#0 - Samuel Girard


#0 - Ben Chiarot


#0 - Nick Holden


#0 - Alexandre Carrier

1st Power Play Unit


#0 - Artturi Lehkonen


#0 - Sidney Crosby


#0 - Rickard Rakell


#0 - Quinn Hughes


#0 - Jeff Petry

2nd Power Play Unit


#0 - Josh Anderson


#0 - Kirby Dach


#0 - Brock Boeser


#0 - Ben Chiarot


#0 - Samuel Girard

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
1BluesDucks1010000015-400.000123000010358151204015416400.00%20100.00%018144141.04%21043148.72%15532248.14%201122917816.7%2.9%87.5%90.4Unlucky
2BluesCanadiens1010000014-300.0001230001003271213038141023100.00%50100.00%018144141.04%21043148.72%15532248.14%201122817720.0%3.1%89.5%92.6Unlucky
3BluesCoyotes33000000138561.0001323360055301043043310973114697457.14%8362.50%018144141.04%21043148.72%15532248.14%67436425482464.3%12.5%91.8%104.3LUCKY
4BluesLightning1010000023-100.000224000110371191703317814200.00%4250.00%018144141.04%21043148.72%15532248.14%221320816866.7%5.4%90.9%96.3Unlucky
5BluesAvalanche2110000054120.500591400032055121924077202740100.00%110100.00%018144141.04%21043148.72%15532248.14%39224619341555.6%9.1%94.8%103.9LUCKY
6BluesCanucks1100000091821.00091524003150391172102496274250.00%30100.00%018144141.04%21043148.72%15532248.14%231219917987.5%23.1%95.8%118.9LUCKY
7BluesStars1000000123-110.5002460001123671019536811326233.33%30100.00%018144141.04%21043148.72%15532248.14%241321919100.0%5.6%91.7%97.2DULL
8BluesPenguins1010000013-200.000123000100321281203710618400.00%30100.00%018144141.04%21043148.72%15532248.14%201121918825.0%3.1%91.9%95.0DULL
9BluesPredators1100000042221.000481200211028791202691113100.00%40100.00%018144141.04%21043148.72%15532248.14%211220817866.7%14.3%92.3%106.6LUCKY
10BluesJets2010100048-420.500459001021451018161662715467114.29%5260.00%018144141.04%21043148.72%15532248.14%41244517341633.3%8.9%87.9%96.8Unlucky
11BluesSharks1100000043121.0004711002110301171203491021400.00%50100.00%018144141.04%21043148.72%15532248.14%211220917857.1%13.3%91.2%104.5LUCKY
12BluesWild1010000013-200.00012300010025137502356214125.00%30100.00%018144141.04%21043148.72%15532248.14%22131981880.0%4.0%87.0%91.0Unlucky
13BluesKings1100000062421.0006915001230304141203192195120.00%10100.00%018144141.04%21043148.72%15532248.14%201222917871.4%20.0%93.5%113.5LUCKY
14BluesDevils1010000034-100.0003690011103418790381062511100.00%30100.00%018144141.04%21043148.72%15532248.14%231420816833.3%8.8%89.5%98.3Unlucky
15BluesBlackhawks1000010045-110.50048120003103151213143128302150.00%4175.00%018144141.04%21043148.72%15532248.14%19923920942.9%12.9%88.4%101.3FUN
16BluesFlames1000100087121.00081119000521376141343572266233.33%10100.00%018144141.04%21043148.72%15532248.14%241418819946.2%21.6%80.0%101.6FUN
17BluesKraken1100000032121.0003690020104411181503294243133.33%20100.00%018144141.04%21043148.72%15532248.14%251619715750.0%6.8%93.8%100.6DULL
_Vs Division11530110133330140.636335992008141033248411812073681129225128932.14%38684.21%018144141.04%21043148.72%15532248.14%236138239991929347.1%10.2%91.0%101.2FUN
_Vs Conference179402101645311240.7066410917300162323453913519320511564170120384541527.78%52688.46%018144141.04%21043148.72%15532248.14%37121836215229714651.0%11.9%90.6%102.5FUN
_Since Last GM Reset21980210171674240.5717112119200172725467418322925611710221150464621625.81%67888.06%018144141.04%21043148.72%15532248.14%45826944618836617948.2%10.5%90.6%101.1FUN
Total21980210171674240.5717112119200172725467418322925611710221150464621625.81%67888.06%018144141.04%21043148.72%15532248.14%45826944618836617948.2%10.5%90.6%101.1FUN

Puck Time
Offensive Zone 21
Neutral Zone 17
Defensive Zone 21
Puck Time
Offensive Zone Start 441
Neutral Zone Start 322
Defensive Zone Start 431
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 546
Faceoffs Lost 648
Team Average Shots after League Average Shots after
1st Period 8.79.57
2nd Period 19.620.31
3rd Period 31.830.68
Overtime 32.331.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.80.64
2nd Period 2.11.65
3rd Period 3.32.67
Overtime 3.52.83
Even Strenght Goal 55
PP Goal 16
PK Goal 0
Empty Net Goal 0
Home Away
Win 56
Lost 44
Overtime Lost 02
PP Attempt 62
PP Goal 16
PK Attempt 67
PK Goal Against 8
Home
Shots For 32.1
Shots Against 33.8
Goals For 3.4
Goals Against 3.2
Hits 22.1
Shots Blocked 10.5
Pim 7.1
Schedule
DateMatchup Result Detail
2023-10-08BluesBlues@BluesStarsBlues2,Stars3 (SO)RECAP
2023-10-10BluesKraken@BluesBluesKraken2,Blues3RECAP
2023-10-15BluesCoyotes@BluesBluesCoyotes4,Blues6RECAP
2023-10-17BluesPenguins@BluesBluesPenguins3,Blues1RECAP
2023-10-20BluesBlues@BluesJetsBlues1,Jets6RECAP
2023-10-22BluesBlues@BluesFlamesBlues8,Flames7 (OT)RECAP
2023-10-23BluesBlues@BluesCanucksBlues9,Canucks1RECAP
2023-10-28BluesBlues@BluesAvalancheBlues4,Avalanche2RECAP
2023-10-30BluesDevils@BluesBluesDevils4,Blues3RECAP
2023-10-31BluesCanadiens@BluesBluesCanadiens4,Blues1RECAP
2023-11-03BluesJets@BluesBluesJets2,Blues3 (OT)RECAP
2023-11-05BluesCoyotes@BluesBluesCoyotes1,Blues3RECAP
2023-11-07BluesBlues@BluesAvalancheBlues1,Avalanche2RECAP
2023-11-10BluesLightning@BluesBluesLightning3,Blues2RECAP
2023-11-12BluesBlues@BluesSharksBlues4,Sharks3RECAP
2023-11-14BluesBlues@BluesKingsBlues6,Kings2RECAP
2023-11-15BluesBlues@BluesDucksBlues1,Ducks5RECAP
2023-11-18BluesBlues@BluesCoyotesBlues4,Coyotes3RECAP
2023-11-20BluesPredators@BluesBluesPredators2,Blues4RECAP
2023-11-22BluesBlues@BluesBlackhawksBlues4,Blackhawks5 (OT)RECAP
2023-11-24BluesBlues@BluesWildBlues1,Wild3RECAP
2023-11-26BluesSabres@BluesBlues
2023-11-28BluesBlues@BluesCoyotes
2023-11-30BluesBlues@BluesGolden Knights
2023-12-02BluesGolden Knights@BluesBlues
2023-12-04BluesBlues@BluesBlue Jackets
2023-12-05BluesBlues@BluesBlackhawks
2023-12-08BluesRed Wings@BluesBlues
2023-12-10BluesSenators@BluesBlues
2023-12-12BluesStars@BluesBlues
2023-12-15BluesBlues@BluesLightning
2023-12-17BluesBlues@BluesPanthers
2023-12-19BluesBlackhawks@BluesBlues
2023-12-23BluesStars@BluesBlues
2023-12-25BluesAvalanche@BluesBlues
2023-12-26BluesBlues@BluesPenguins
2023-12-31BluesCanucks@BluesBlues
2024-01-02BluesBlues@BluesHurricanes
2024-01-05BluesPanthers@BluesBlues
2024-01-07BluesRangers@BluesBlues
2024-01-09BluesBruins@BluesBlues
2024-01-11BluesFlyers@BluesBlues
2024-01-14BluesBlues@BluesCapitals
2024-01-16BluesCapitals@BluesBlues
2024-01-19BluesBlues@BluesFlames
2024-01-20BluesBlues@BluesCanucks
2024-01-22BluesBlues@BluesKraken
2024-01-24BluesKings@BluesBlues
2024-01-26BluesBlue Jackets@BluesBlues
2024-02-06BluesBlues@BluesSabres
2024-02-07BluesBlues@BluesCanadiens
2024-02-09BluesBlues@BluesMaple Leafs
2024-02-11BluesOilers@BluesBlues
2024-02-13BluesPredators@BluesBlues
2024-02-15BluesMaple Leafs@BluesBlues
2024-02-18BluesIslanders@BluesBlues
2024-02-20BluesBlues@BluesRed Wings
2024-02-23BluesBlues@BluesJets
2024-02-24BluesBlues@BluesOilers
2024-02-27BluesWild@BluesBlues
2024-02-29BluesBlues@BluesFlyers
2024-03-01BluesBlues@BluesIslanders
2024-03-03BluesBlues@BluesDevils
2024-03-05BluesBlues@BluesRangers
2024-03-07BluesBlues@BluesBruins
2024-03-09BluesKings@BluesBlues
2024-03-12BluesWild@BluesBlues
2024-03-13BluesDucks@BluesBlues
2024-03-15BluesAvalanche@BluesBlues
2024-03-17BluesBlues@BluesSenators
2024-03-19BluesBlues@BluesWild
2024-03-21BluesGolden Knights@BluesBlues
2024-03-24BluesFlames@BluesBlues
2024-03-26BluesSharks@BluesBlues
2024-03-28BluesOilers@BluesBlues
2024-03-31BluesBlues@BluesPredators
2024-04-02BluesBlues@BluesSharks
2024-04-03BluesBlues@BluesDucks
2024-04-06BluesBlackhawks@BluesBlues
2024-04-08BluesHurricanes@BluesBlues
2024-04-10BluesKraken@BluesBlues
2024-04-13BluesBlues@BluesStars

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
78,054,583$ 0$ 78,054,583$ 4,445,417$

ArenaGoal HornAbout us
NameEnterprise Center
CitySaint-Louis
Capacity18000
Season Ticket Holders40%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000200040001000
Ticket Price100$60$35$25$200$
Attendance506954175916627337688642
Attendance PCT93.88%92.80%92.37%93.80%96.02%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
32 16832 - 93.51% 608,010$5,472,088$18000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
78,054,583$ 78,054,583$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
20,326,700$ 78,054,583$ 20,326,700$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
19,456,313$ 142 406,534$ 57,727,828$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
60,722,481$ 78,054,583$ -482,435,818$ -523,701,986$
Depth Chart Star Player Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Josh AndersonAGE:28BluesONT
Rickard RakellAGE:29BluesSWE
Artturi LehkonenAGE:27BluesFIN
Andreas AthanasiouAGE:28BluesONT
Yakov TreninAGE:25BluesRUS
Samuel BlaisAGE:26BluesQUE
Alex NewhookAGE:21BluesNB
Beck MalenstynAGE:24BluesBC
Derick BrassardAGE:35BluesQUE
Ryan PoehlingAGE:23BluesUSA
Matthew HighmoreAGE:26BluesNS
Sidney CrosbyAGE:35BluesNS
Kirby DachAGE:21BluesAB
Yakov TreninAGE:25BluesRUS
Joseph VelenoAGE:22BluesQUE
Cole GuttmanAGE:23BluesUSA
Alex NewhookAGE:21BluesNB
Beck MalenstynAGE:24BluesBC
Derick BrassardAGE:35BluesQUE
Ryan PoehlingAGE:23BluesUSA
Alex BelzileAGE:31BluesQUE
Brock BoeserAGE:25BluesUSA
Josh AndersonAGE:28BluesONT
Rickard RakellAGE:29BluesSWE
Artturi LehkonenAGE:27BluesFIN
Kirby DachAGE:21BluesAB
Andreas AthanasiouAGE:28BluesONT
Samuel BlaisAGE:26BluesQUE
Alex BelzileAGE:31BluesQUE
Mathieu OlivierAGE:25BluesQUE
Matthew HighmoreAGE:26BluesNS
Nick SwaneyAGE:25BluesUSA

Defense #1Defense #2Goalie
Quinn HughesAGE:22BluesUSA
Jeff PetryAGE:34BluesUSA
Samuel GirardAGE:24BluesCAN
Ben ChiarotAGE:31BluesONT
Nick HoldenAGE:35BluesAB
Darren RaddyshAGE:26BluesONT
Chris WidemanAGE:32BluesUSA
Alexandre CarrierAGE:25BluesQUE
Frederik AndersenAGE:32BluesDEN
Charlie LindgrenAGE:28BluesUSA
Cayden PrimeauAGE:23BluesUSA
Dustin TokarskiAGE:33BluesSKW

Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6Ronde 7
2024
2025
2026
2027
2028

** 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 2023BluesBlues
Aaron HuglenBluesBlues2019112
Aiden CelebriniBluesBlues2023175
Alexis GendronBluesBlues2022190
Angus BoothBluesBlues2022126
Artur CholachBluesBlues2021197
Ben BoydBluesBlues2021163
Bobby RyanBluesBluesLink
Braden DoyleBluesBlues2019165
Cameron HillisBluesBluesLink
Carter SotheranBluesBlues2023143
Cole FonstadBluesBlues
Connor CorcoranBluesBlues2018129
Connor HobbsBluesBlues
David KleeBluesBlues2023207
Dyllan GillBluesBlues2022222
Evan NauseBluesBlues202146
Ilya KovalchukBluesBlues
Jacob MelansonBluesBlues2021123
Jonny TychonickBluesBlues
Josh BrookBluesBlues
Kim NousiainenBluesBlues2019130
Kirill TyutyayevBluesBlues2019197
Luca MunzenbergerBluesBlues202199
Mark AltBluesBluesLink
Mitchell MattsonBluesBlues
Nate BenoitBluesBlues2021191
Paul FischerBluesBlues2023148
Rasmus KorhonenBluesBlues2021130
Rhett GardnerBluesBluesLink
Samuel LipkinBluesBlues2021223
Steven KampferBluesBluesLink
Thomas SchemitschBluesBlues
Tyler InamotoBluesBlues
Viljami MarjalaBluesBlues2021159
Vsevolod KomarovBluesBlues202294
William Worge KruBluesBlues
Zachary BolducBluesBlues202115

Injuries
No Injury or Suspension.

Game Center

Blues11-8-2, 24pts45Final
Blackhawks5-14-1, 11pts

Blues11-8-2, 24pts13Final
Wild10-8-2, 22pts

Sabres7-12-3, 17ptsSun, Nov 26Enterprise Center
Blues11-8-2, 24pts

Blues11-8-2, 24ptsTue, Nov 28Gila River Arena
Coyotes11-10-0, 22pts

Blues11-8-2, 24ptsThu, Nov 30T-Mobile arena
Golden Knights15-6-2, 32pts

Team Leaders

GOALS
Artturi Lehkonen
12
ASSISTS
Sidney Crosby
19
POINTS
Sidney Crosby
29
PLUS/MINUS
Artturi Lehkonen
5
WINS
Frederik Andersen
11
SV%
Frederik Andersen
0.907

Team Stats


Goals For
71
3.38 GFG
Shots For
674
32.10 Avg
Power Play Percentage
25.8%
16 GF
Offensive Zone Start
50.6%
Goals Against
67
3.19 GAA
Shots Against
710
33.81 Avg
Penalty Kill Percentage
88.1%
8 GA
Defensive Zone Start
49.4%
 

Team Info

Blues
General ManagerYannick Lavoie
Head Coach
ConferenceConference Ouest
DivisionCentrale

Blues Affiliation

Blues
Team NamePeroria
CityPeroria
Head Coach
DivisionDivision 5

Arena Info

StadiumEnterprise Center
Capacity18,000
Attendance16,832
Season Tickets7,200

Salary Cap

Total Cap Hit78,054,583$
Cap Hit Percentage94.61%
Projected Cap Space4,445,417$
Retains & Buyout0$

Finance

Team Revenue5,472,088$
Estimated Revenue24,928,401$
Estimated Expenses78,054,528$
Operating Income-53,126,127$
Bank Account-482,435,818$

Team History

202311-8-2 (24PTS)
Record (W-L-OTL)190-118-41 (421PTS)
Playoff Appearances2
Playoff Record (W-L)24-20
Stanley Cup0

Entry Draft