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Connexion

Blues
GP: 59 | W: 29 | L: 24 | OTL: 6 | P: 64
GF: 183 | GA: 194 | PP%: 21.76% | PK%: 73.53%
DG: Rico | Morale : 94 | Moyenne d’équipe : N/A
Prochains matchs #979 vs Sabres

Centre de jeu
Blues
29-24-6, 64pts
4
FINAL
3 Predators
23-34-7, 53pts
Team Stats
W2SéquenceL1
20-10-1Fiche domicile12-15-3
9-14-5Fiche visiteur11-19-4
5-5-0Derniers 10 matchs3-5-2
3.10Buts par match 2.73
3.29Buts contre par match 3.50
21.76%Pourcentage en avantage numérique17.19%
73.53%Pourcentage en désavantage numérique72.73%
Bruins
34-24-2, 70pts
1
FINAL
5 Blues
29-24-6, 64pts
Team Stats
L1SéquenceW2
15-15-0Fiche domicile20-10-1
19-9-2Fiche visiteur9-14-5
4-6-0Derniers 10 matchs5-5-0
3.10Buts par match 3.10
2.98Buts contre par match 3.29
18.96%Pourcentage en avantage numérique21.76%
78.95%Pourcentage en désavantage numérique73.53%
Blues
29-24-6, 64pts
Jour 136
Sabres
25-27-9, 59pts
Statistiques d’équipe
W2SéquenceL1
20-10-1Fiche domicile14-10-6
9-14-5Fiche visiteur11-17-3
5-5-010 derniers matchs4-4-2
3.10Buts par match 2.95
3.29Buts contre par match 2.95
21.76%Pourcentage en avantage numérique17.62%
73.53%Pourcentage en désavantage numérique77.70%
Lightning
29-30-4, 62pts
Jour 138
Blues
29-24-6, 64pts
Statistiques d’équipe
W3SéquenceW2
16-14-0Fiche domicile20-10-1
13-16-4Fiche visiteur9-14-5
6-4-010 derniers matchs5-5-0
3.21Buts par match 3.10
3.11Buts contre par match 3.10
22.63%Pourcentage en avantage numérique21.76%
78.46%Pourcentage en désavantage numérique73.53%
Blues
29-24-6, 64pts
Jour 142
Predators
23-34-7, 53pts
Statistiques d’équipe
W2SéquenceL1
20-10-1Fiche domicile12-15-3
9-14-5Fiche visiteur11-19-4
5-5-010 derniers matchs3-5-2
3.10Buts par match 2.73
3.29Buts contre par match 2.73
21.76%Pourcentage en avantage numérique17.19%
73.53%Pourcentage en désavantage numérique72.73%
Meneurs d'équipe
Buts
Tomas Hertl
33
Passes
Zach Werenski
55
Points
Tomas Hertl
71
Plus/Moins
Tomas Hertl
22
Victoires
Joonas Korpisalo
21
Pourcentage d’arrêts
Joonas Korpisalo
0.911

Statistiques d’équipe
Buts pour
183
3.10 GFG
Tirs pour
2067
35.03 Avg
Pourcentage en avantage numérique
21.8%
47 GF
Début de zone offensive
39.9%
Buts contre
194
3.29 GAA
Tirs contre
2055
34.83 Avg
Pourcentage en désavantage numérique
73.5%%
72 GA
Début de la zone défensive
37.0%
Informations de l'équipe

Directeur généralRico
EntraîneurDan Muse
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomEnterprise Center
Capacité19,500
Assistance17,418
Billets de saison7,800


Informations de la formation

Équipe Pro24
Équipe Mineure27
Limite contact 51 / 65
Espoirs19


Plafond salarial

Cap Salarial de la Saison estimé66,120,967$
Plafond salarial disponible15,879,033$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21


Finance

Revenu annuel à ce jour43,506,639$
Dépenses annuelles à ce jour44,574,690$
Revenus de la saison estimés14,034,400$
Dépenses de la saison estimées15,805,869$
Compte bancaire actuel95,333,880$
Compte bancaire projeté94,600,778$


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Josh AndersonXX100.00765484778581947363677181656063076003022,100,000$
2Mason AppletonX100.00705092797481917361686971655562071002812,650,000$
3Casey MittelstadtX100.00635093857484947578727167665162082002643,750,000$
4Dylan CozensX100.00805487867984957682757176655359071002313,600,000$
5Andrei SvechnikovXX100.00755287887684917861757570705161078002444,949,000$
6Michael BuntingXX100.00695087857182937661717467656057082002914,250,000$
7Tomas HertlX100.00725093898384928185758170656167082003113,748,500$
8Emil Heineman (R)XX100.00825092777578887261677072685060082002311,312,500$
9Yegor ChinakhovXX100.00735094857682797661717369654559082002322,500,000$
10Matt NietoXX100.0071509465717984686165658065636508100321800,000$
11Brett HowdenX100.00735490857681947677707577656065082002632,150,000$
12Sam LaffertyX100.00725091667876886968656670655865048002912,150,000$
13Haydn FleuryX100.00715094767982817225696576655963070002811,200,000$
14John MarinoX100.00625095877688807825766577655362082002733,250,000$
15Mattias SamuelssonX100.00735092788686887425686983654959082002412,200,000$
16Brandon CarloX100.00705291738485957025676582655963073002843,750,000$
17Zach WerenskiX100.00625292958093949325918477655563080002756,250,000$
Rayé
1Corey PerryXX93.84645888817978947462677366658479071003912,000,000$
2Oskar Back (R)X100.00635094747778927170686675655563077002442,000,000$
3Ryan ReavesXX100.0084548762847581676165657265746704100371735,000$
4Patrik NemethX100.00606060606070706060606060607373061003211,900,000$
5Owen PickeringX76.69655093727781916925656774654758072002041,500,000$
Équipe Mineure
1Nicolas Aube-KubelXX100.0074568764807681686565666965616407700281800,000$
2Liam GormanX100.0060606060607070606060606060495807900241771,750$
3Alexander CampbellXXX100.00606060606070706060606060604657078002311,023,750$
4Kole LindXX100.00606060606070706060606060606368075002622,128,125$
5Keean WashkurakX100.0060606060607070606060606060546007000232826,875$
6William StromgrenXX100.00606060606070706060606060604758079002121,312,500$
7Mikael PyyhtiaXX100.00655094706779926965656776654958086002331,250,000$
8Alexander GordinXXX100.0060606060607070606060606060405507300231735,000$
9Nate DanielsonX100.00606060606070706060606060604055085012021,500,000$
10Michael Brandsegg-Nygard (R)XX100.00606060606070706060606060604455081001931,500,000$
11Tanner Howe (R)X100.00606060606070706060606060604855081001931,250,000$
12Juha JaaskaXX100.0062568869797592696970686865645808200261700,000$
13Samuel KnazkoX100.00606060606070706060606060604557069002211,023,750$
14Maxwell GildonX100.00606060606070706060606060605460064002511,074,938$
15Ole Julian Bjorgvik-HolmX100.0060606060607070606060606060485705600222787,500$
16Alex GagneX100.0060606060607070606060606060455808100221735,000$
17Ville OttavainenX100.00735089638081926125626173654958076002211,023,750$
18Quinton Burns (R)X100.0060606060607070606060606060485506700193975,000$
19Elliot EkefjardXX100.0060606060607070606060606060575807700222682,500$
20Nikita NovikovX100.0060606060607070606060606060455807500212682,500$
21Elias Pettersson.X100.0072548971717990692565667165405507600201975,000$
22Vittorio ManciniX91.5971509280868288752569697265405507001221650,000$
MOYENNE D’ÉQUIPE99.096755797171778268566666686353610750
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Justus Annunen100.0070817885736570677568735566082002421,400,000$
Rayé
1Joonas Korpisalo78.6272797581786874707673735868071003022,688,000$
Équipe Mineure
1Rasmus Korhonen100.006070706060606060606060465706800222866,250$
2Colten Ellis100.006070706060606060606060566106700241866,250$
3Mads Sogaard100.0060707060606060606060605061069002421,050,000$
4Johan Gustafsson100.006070706060606060606060707506800321650,000$
5Sergey Murashov100.006070706060606060606060425506601202750,000$
MOYENNE D’ÉQUIPE96.86637372676462636264636454630700
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Muse7774748162671USA4321,000,000$


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Tomas HertlBluesC593338712216067732317311714.29%21104617.7491221371711123625551.35%10715114011.36113000495
2Zach WerenskiBluesD591455691651553952811301154.98%88158126.8041317411680445201210%07351100.8701001422
3Andrei SvechnikovBluesLW/RW57153651102557354188651047.98%2285715.0421012221130001402036.47%85428011.1928001311
4Michael BuntingBluesLW/RW59141933-10460744617863757.87%3090215.306121830166000032042.86%492211000.7300000212
5Brett HowdenBluesC5915163132807376138517710.87%2090415.335611127800071823248.48%6233813000.6915000211
6Dylan CozensBluesC53131629-73409069125387510.40%2081615.40279151171012382148.19%8302713000.7138000111
7Josh AndersonBluesLW/RW59131225156208161100215213.00%35109818.635381615501141762138.81%671426000.4528000122
8Casey MittelstadtBluesC591113240180646813836777.97%1279813.542244360000610053.93%6102016000.6012000033
9Corey PerryBluesLW/RW4991120-6215543810729568.41%1982516.84325171441011400345.61%571620000.4813100210
10Yegor ChinakhovBluesLW/RW591282081555932103486811.65%1272412.28303318000000039.53%43188000.5500000001
11John MarinoBluesD6131417410034808033313.75%52121019.8414561410224134010%01140000.2800000001
12Brandon CarloBluesD5921416133554974723314.26%54115719.6211241460001169000%01837000.2801001001
13Mason AppletonBluesC4267135120333951233711.76%1354913.090112251014581242.11%7697000.4712000110
14Emil HeinemanBluesLW/RW485813433567387423476.76%1156911.8600003000000142.86%281116000.4611001121
15Haydn FleuryBluesD553811-36040555416215.56%6084515.38235560000157000%01128000.2600000100
16Mattias SamuelssonBluesD4601010922051726723240%76101222.0002281190112117000%01349000.2000000001
17Matt NietoBluesLW/RW50224-1116053403912265.13%960712.15000000001960038.10%63512000.1300000001
18Patrik NemethBluesD37123-59010333119635.26%2356215.1900002000063100%1019000.1100011000
19Owen PickeringBluesD39033-710028392017170%3764816.62000216000074000%0528000.0900000000
20Oskar BackBluesC42112-126030243211193.13%1747011.20000000004670047.06%102107000.0900000000
21Ryan ReavesBluesLW/RW8011600975360%39111.4600000000000080.00%502000.2200000000
22Sam LaffertyBluesC5000200331130%1428.590000000000000%00100000000000
Statistiques d’équipe totales ou en moyenne1064172294466445544011231137207874510818.28%6351732316.28457812322416884913401646201749.11%3710414426120.541352115222423
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Joonas KorpisaloBlues38211130.9112.982257211121259684100.82646386333
2Justus AnnunenBlues2481230.9093.2213040070768423000.50042133212
3Sergey MurashovBulldogs (STL)20100.75010.773900728150000019000
Statistiques d’équipe totales ou en moyenne64292460.9083.153602211892055112210505958545


Astuces sur les filtres (anglais seulement)
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
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Andrei SvechnikovBluesLW/RW242000-03-26RUSNo199 Lbs6 ft3NoNoN/ANoNo4FalseFalsePro & Farm4,949,000$1,356,984$5,050,000$1,384,677$No4,242,000$4,242,000$3,181,500$------5,050,000$5,050,000$5,050,000$------NoNoNo------
Brandon CarloBluesD281996-11-26USANo220 Lbs6 ft5NoNoN/ANoNo4FalseFalsePro & Farm3,750,000$1,028,226$3,750,000$1,028,226$No3,750,000$3,750,000$3,750,000$------3,750,000$3,750,000$3,750,000$------NoNoNo------
Brett Howden (contrat à 1 volet)BluesC261998-03-29CANNo201 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm2,150,000$589,516$2,150,000$589,516$No2,150,000$2,150,000$-------2,150,000$2,150,000$-------NoNo-------
Casey MittelstadtBluesC261998-11-22USANo195 Lbs6 ft1NoNoN/ANoNo42025-09-08FalseFalsePro & Farm3,750,000$1,028,226$3,750,000$1,028,226$No3,750,000$3,750,000$3,750,000$------3,750,000$3,750,000$3,750,000$------NoNoNo------
Corey Perry (sur la masse salariale)BluesLW/RW391985-05-16CANNo208 Lbs6 ft3NoNoFree AgentNoNo12025-06-09FalseFalsePro & Farm2,000,000$548,387$2,000,000$548,387$No---------------------------
Dylan CozensBluesC232001-02-09CANNo207 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm3,600,000$987,097$3,600,000$987,097$No---------------------------
Emil HeinemanBluesLW/RW232001-11-16SWEYes198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,312,500$359,879$1,312,500$359,879$No---------------------------
Haydn Fleury (contrat à 1 volet)BluesD281996-07-08CANNo207 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$329,032$1,200,000$329,032$No---------------------------
John MarinoBluesD271997-05-21USANo200 Lbs6 ft1NoNoTrade2026-03-04NoNo3FalseFalsePro & Farm3,250,000$891,129$3,250,000$891,129$No3,250,000$3,250,000$-------3,250,000$3,250,000$-------NoNo-------
Joonas Korpisalo (sur la masse salariale)BluesG301994-04-28FINNo199 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm2,688,000$737,032$3,200,000$877,419$No2,688,000$--------3,200,000$--------No--------
Josh AndersonBluesLW/RW301994-05-07CANNo226 Lbs6 ft3NoNoAssign ManuallyNoNo22025-10-26FalseFalsePro & Farm2,100,000$575,806$2,100,000$575,806$No2,100,000$--------2,100,000$--------No--------
Justus AnnunenBluesG242000-03-11FINNo210 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm1,400,000$383,871$1,400,000$383,871$No1,400,000$--------1,400,000$--------No--------
Mason AppletonBluesC281996-01-15USANo194 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm2,650,000$726,613$2,650,000$726,613$No---------------------------
Matt NietoBluesLW/RW321992-11-05USANo189 Lbs5 ft11NoNoFree AgentNoNo12025-05-26FalseFalsePro & Farm800,000$219,355$800,000$219,355$No---------------------------
Mattias SamuelssonBluesD242000-03-14USANo227 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm2,200,000$603,226$2,200,000$603,226$No---------------------------
Michael Bunting (contrat à 1 volet)BluesLW/RW291995-09-17CANNo186 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm4,250,000$1,165,323$4,250,000$1,165,323$No---------------------------
Oskar BackBluesC242000-03-12SWEYes202 Lbs6 ft4NoNoN/ANoNo42025-09-08FalseFalsePro & Farm2,000,000$548,387$2,000,000$548,387$No2,000,000$2,000,000$2,000,000$------2,000,000$2,000,000$2,000,000$------NoNoNo------
Owen Pickering (sur la masse salariale)BluesD202004-01-27CANNo200 Lbs6 ft5NoNoN/ANoNo42025-09-08FalseFalsePro & Farm1,500,000$411,290$1,500,000$411,290$No1,500,000$1,500,000$1,500,000$------1,500,000$1,500,000$1,500,000$------NoNoNo------
Patrik NemethBluesD321992-02-08SWENo230 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,900,000$520,968$1,900,000$520,968$No---------------------------
Ryan ReavesBluesLW/RW371987-01-20CANNo225 Lbs6 ft2NoNoFree AgentNoNo12025-06-09FalseFalsePro & Farm735,000$201,532$735,000$201,532$No---------------------------
Sam LaffertyBluesC291995-03-06USANo205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm2,150,000$589,516$2,150,000$589,516$No---------------------------
Tomas HertlBluesC311993-11-12CZENo220 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm3,748,500$1,027,815$5,950,000$1,631,452$No---------------------------
Yegor ChinakhovBluesLW/RW232001-02-01RUSNo201 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm2,500,000$685,484$2,500,000$685,484$No2,500,000$--------2,500,000$--------No--------
Zach WerenskiBluesD271997-07-19USANo211 Lbs6 ft2NoNoN/ANoNo5FalseFalsePro & Farm6,250,000$1,713,710$6,250,000$1,713,710$No6,250,000$6,250,000$6,250,000$6,250,000$-----6,250,000$6,250,000$6,250,000$6,250,000$-----NoNoNoNo-----
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2427.67207 Lbs6 ft32.132,618,042$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
62,833,000$35,580,000$26,892,000$20,431,500$6,250,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Josh AndersonTomas HertlMason Appleton28122
2Matt NietoDylan CozensMichael Bunting28122
3Yegor ChinakhovCasey MittelstadtEmil Heineman25122
4Andrei SvechnikovBrett HowdenSam Lafferty19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach WerenskiJohn Marino28122
2Brandon Carlo28122
3Haydn FleuryMattias Samuelsson25122
4Zach WerenskiMattias Samuelsson19122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett HowdenTomas HertlMason Appleton50122
2Josh AndersonCasey MittelstadtMichael Bunting50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach WerenskiJohn Marino50122
2Mattias Samuelsson50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brett HowdenJosh Anderson50122
2Dylan CozensTomas Hertl50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach WerenskiMattias Samuelsson50122
2John Marino50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brett Howden50122Zach Werenski50122
2Tomas Hertl50122Mattias SamuelssonJohn Marino50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tomas HertlCasey Mittelstadt50122
2Josh AndersonBrett Howden50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias SamuelssonZach Werenski50122
2John Marino50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason AppletonTomas HertlDylan CozensZach WerenskiJohn Marino
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason AppletonTomas HertlDylan CozensZach WerenskiJohn Marino
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tomas Hertl, Casey Mittelstadt, Josh AndersonTomas Hertl, Yegor ChinakhovCasey Mittelstadt
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Mattias Samuelsson, Zach WerenskiZach WerenskiZach Werenski, Mattias Samuelsson
Tirs de pénalité
Tomas Hertl, Josh Anderson, Mason Appleton, Brett Howden, Casey Mittelstadt
Gardien
#1 : , #2 : Justus Annunen


Astuces sur les filtres (anglais seulement)
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
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff 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
1Avalanche21000010963210000109630000000000041.00091221003411743017277721618474125.00%9455.56%0729147949.29%684137249.85%40985947.61%412447193517
2Blackhawks320000011192110000003122100000188050.83311193000344311032542391034123531119.09%10280.00%1729147949.29%684137249.85%40985947.61%663865285226
3Blue Jackets11000000532000000000001100000053221.0005101500122030810120351210115240.00%5180.00%0729147949.29%684137249.85%40985947.61%2012239168
4Bruins11000000514110000005140000000000021.000510150022103415118032131315300.00%40100.00%1729147949.29%684137249.85%40985947.61%2113218177
5Canucks32100000853220000006241010000023-140.66781422001430104304034011248245312433.33%12191.67%0729147949.29%684137249.85%40985947.61%603469275023
6Capitals20200000410-60000000000020200000410-600.0004610001210772422310792118474125.00%9277.78%0729147949.29%684137249.85%40985947.61%422443173316
7Ducks3110000189-1110000003122010000158-330.5008152300242010641422247630108915320.00%5260.00%0729147949.29%684137249.85%40985947.61%693856275831
8Flames312000001017-7211000008801010000029-720.333101828003430100313138010236536018211.11%24770.83%0729147949.29%684137249.85%40985947.61%633665285025
9Golden Knights31101000880210010007521010000013-240.66781422001331105283343110437365911327.27%18477.78%0729147949.29%684137249.85%40985947.61%643665285024
10Hurricanes1010000013-2000000000001010000013-200.0001120001003413156034201417100.00%7185.71%0729147949.29%684137249.85%40985947.61%2111219178
11Islanders2010001047-3000000000002010001047-320.500437000212642026186732223265120.00%9277.78%0729147949.29%684137249.85%40985947.61%422345193718
12Jets51000121181713100002011832000010179-280.800182846002593175565460131835285857228.57%35682.86%1729147949.29%684137249.85%40985947.61%10964119478740
13Kings21000010743100000104311100000031241.000710170031216222182226625123615213.33%6266.67%0729147949.29%684137249.85%40985947.61%452744193517
14Lightning1010000025-3000000000001010000025-300.000246002000401714903113428100.00%2150.00%0729147949.29%684137249.85%40985947.61%2415197168
15Mammoth30300000612-61010000014-32020000058-300.0006121800132099462627010845396512325.00%18950.00%0729147949.29%684137249.85%40985947.61%643663275124
16Maple Leafs11000000413000000000001100000041321.000459001210361218603315213200.00%10100.00%0729147949.29%684137249.85%40985947.61%2113229158
17Oilers31200000981211000007431010000024-220.3339162500423010136263901102134526116.67%17382.35%0729147949.29%684137249.85%40985947.61%623566285023
18Panthers10000010431100000104310000000000021.00045900111142820134291014185120.00%7357.14%0729147949.29%684137249.85%40985947.61%2413219199
19Penguins1010000069-31010000069-30000000000000.000611170012304311191303988215240.00%4325.00%0729147949.29%684137249.85%40985947.61%2314207168
20Predators421000101012-23110001069-31100000043160.750101727002521138493356516343346313430.77%17288.24%0729147949.29%684137249.85%40985947.61%844993366732
21Rangers1010000023-11010000023-10000000000000.0002460001103271690409822600.00%4250.00%0729147949.29%684137249.85%40985947.61%2112218169
22Red Wings11000000422110000004220000000000021.0004711000220479221603092174250.00%110.00%0729147949.29%684137249.85%40985947.61%2616167179
23Senators1010000045-11010000045-10000000000000.000461000112045171810042126183266.67%3166.67%0729147949.29%684137249.85%40985947.61%2214228157
24Sharks3210000014951010000034-122000000115640.66714233700275010333383209939266015533.33%13376.92%0729147949.29%684137249.85%40985947.61%673960275126
25Stars412000011112-1211000007522010000147-330.37511182901434012545404041174843911516.67%19573.68%1729147949.29%684137249.85%40985947.61%824589397334
26Wild40200011914-52010000157-22010001047-330.37591322001431141424850614336319118422.22%13561.54%0729147949.29%684137249.85%40985947.61%925385377237
Total59202401185183194-11311310010611059015287140012478104-26640.5421833014840142716114206768271166461205568159011572164721.76%2727273.53%4729147949.29%684137249.85%40985947.61%128474312935451028503
_Since Last GM Reset59202401185183194-11311310010611059015287140012478104-26640.5421833014840142716114206768271166461205568159011572164721.76%2727273.53%4729147949.29%684137249.85%40985947.61%128474312935451028503
_Vs Conference45161601165138142-425117010518067132059001145875-17520.578138229367013253461115435215005135115585174689041723620.93%2165574.54%3729147949.29%684137249.85%40985947.61%973559994422788384
_Vs Division2578001547482-8145400041424021124001133242-10290.5807411919301162825986230027228344889281273495801620.00%1213372.73%3729147949.29%684137249.85%40985947.61%540311565235440212

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5964W218330148420672055681590115701
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5920241185183194
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
311310106110590
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
28714012478104
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2164721.76%2727273.53%4
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
6827116646142716114
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
729147949.29%684137249.85%40985947.61%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
128474312935451028503


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
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
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
16Blackhawks1Blues3WSommaire du match
637Avalanche3Blues5WSommaire du match
1067Predators5Blues0LSommaire du match
1286Blues3Wild2WXXSommaire du match
1497Jets4Blues5WXXSommaire du match
18128Wild3Blues2LSommaire du match
20144Blues3Capitals7LSommaire du match
22161Mammoth4Blues1LSommaire du match
24176Blues2Ducks3LXXSommaire du match
26193Flames5Blues4LR3Sommaire du match
27199Blues2Stars3LXXSommaire du match
30219Blues4Blackhawks5LXXSommaire du match
31226Stars0Blues4WSommaire du match
35257Predators1Blues2WXXSommaire du match
37275Blues5Blue Jackets3WSommaire du match
39289Flames3Blues4WR3Sommaire du match
41298Blues1Capitals3LSommaire du match
43319Golden Knights2Blues3WSommaire du match
45328Blues4Jets5LXSommaire du match
48353Canucks1Blues2WSommaire du match
51370Blues2Flames9LR3Sommaire du match
53385Predators3Blues4WSommaire du match
56404Blues4Maple Leafs1WSommaire du match
57418Canucks1Blues4WSommaire du match
59435Blues6Sharks2WSommaire du match
61449Kings3Blues4WXXSommaire du match
64470Blues5Sharks3WSommaire du match
66481Penguins9Blues6LSommaire du match
68500Blues2Oilers4LSommaire du match
70513Sharks4Blues3LSommaire du match
72528Blues3Jets4LXXSommaire du match
74545Oilers3Blues2LSommaire du match
76559Blues2Canucks3LSommaire du match
79576Blues1Hurricanes3LSommaire du match
80583Jets2Blues3WSommaire du match
83607Blues2Lightning5LSommaire du match
84614Rangers3Blues2LSommaire du match
87639Ducks1Blues3WSommaire du match
90651Blues3Kings1WSommaire du match
93674Senators5Blues4LSommaire du match
96697Blues4Mammoth5LSommaire du match
97706Jets2Blues3WXXSommaire du match
100735Blues1Islanders5LSommaire du match
101738Panthers3Blues4WXXSommaire du match
104760Blues1Mammoth3LSommaire du match
106770Blues4Blackhawks3WSommaire du match
107776Oilers1Blues5WSommaire du match
111800Blues3Islanders2WXXSommaire du match
112808Wild4Blues3LXXSommaire du match
116834Golden Knights3Blues4WXSommaire du match
118848Blues2Stars4LSommaire du match
121866Stars5Blues3LSommaire du match
123883Blues1Wild5LSommaire du match
124896Blues1Golden Knights3LSommaire du match
125902Red Wings2Blues4WSommaire du match
129929Avalanche3Blues4WXXSommaire du match
130938Blues3Ducks5LSommaire du match
133960Blues4Predators3WSommaire du match
134967Bruins1Blues5WSommaire du match
136979Blues-Sabres-
138998Lightning-Blues-
1421021Blues-Predators-
1431032Maple Leafs-Blues-
1471059Canadiens-Blues-
1491073Blues-Wild-
1511089Blues-Kraken-
1521096Bruins-Blues-
1551121Blues-Kraken-
1561127Mammoth-Blues-
1571139Blues-Kings-
1601157Avalanche-Blues-
1611165Blues-Avalanche-
1631183Blues-Penguins-
1641188Blues-Avalanche-
1671200Kraken-Blues-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1711225Blackhawks-Blues-
1721239Blues-Devils-
1741249Blues-Golden Knights-
1771261Blackhawks-Blues-
1781266Blues-Stars-
1821294Mammoth-Blues-
1831301Blues-Flyers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité62505250260042001200
Prix des billets86502814200
Assistance183,747136,00061,925128,78429,510
Attendance PCT94.84%83.56%76.83%98.91%79.33%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
10 17418 - 89.32% 1,403,440$43,506,639$19500100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
44,574,690$ 56,645,000$ 58,947,500$ 1,000,000$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
322,298$ 46,533,866$ 0$ 21 3

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
14,034,400$ 51 309,919$ 15,805,869$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
16,706,339$ 95,333,880$ 94,600,778$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
66,120,967$ 15,879,033$ 82,000,000$ 14,120,967$



Charte de profondeur

Ailier gaucheCentreAilier droit
Josh AndersonAGE:30PO:0OV:0
Corey PerryAGE:39PO:0OV:0
Nicolas Aube-KubelAGE:28PO:0OV:0
Alexander CampbellAGE:23PO:0OV:0
Kole LindAGE:26PO:0OV:0
Andrei SvechnikovAGE:24PO:0OV:0
Ryan ReavesAGE:37PO:0OV:0
Michael BuntingAGE:29PO:0OV:0
Emil Heineman (R)AGE:23PO:0OV:0
Yegor ChinakhovAGE:23PO:0OV:0
Matt NietoAGE:32PO:0OV:0
William StromgrenAGE:21PO:0OV:0
Elliot EkefjardAGE:22PO:0OV:0
Mikael PyyhtiaAGE:23PO:0OV:0
Alexander GordinAGE:23PO:0OV:0
Michael Brandsegg-Nygard (R)AGE:19PO:0OV:0
Tanner Howe (R)AGE:19PO:0OV:0
Juha JaaskaAGE:26PO:0OV:0
Liam GormanAGE:24PO:0OV:0
Alexander CampbellAGE:23PO:0OV:0
Mason AppletonAGE:28PO:0OV:0
Casey MittelstadtAGE:26PO:0OV:0
Dylan CozensAGE:23PO:0OV:0
Oskar Back (R)AGE:24PO:0OV:0
Tomas HertlAGE:31PO:0OV:0
Keean WashkurakAGE:23PO:0OV:0
Brett HowdenAGE:26PO:0OV:0
Sam LaffertyAGE:29PO:0OV:0
Alexander GordinAGE:23PO:0OV:0
Nate DanielsonAGE:20PO:0OV:0
Josh AndersonAGE:30PO:0OV:0
Corey PerryAGE:39PO:0OV:0
Nicolas Aube-KubelAGE:28PO:0OV:0
Alexander CampbellAGE:23PO:0OV:0
Kole LindAGE:26PO:0OV:0
Andrei SvechnikovAGE:24PO:0OV:0
Ryan ReavesAGE:37PO:0OV:0
Michael BuntingAGE:29PO:0OV:0
Emil Heineman (R)AGE:23PO:0OV:0
Yegor ChinakhovAGE:23PO:0OV:0
Matt NietoAGE:32PO:0OV:0
William StromgrenAGE:21PO:0OV:0
Elliot EkefjardAGE:22PO:0OV:0
Mikael PyyhtiaAGE:23PO:0OV:0
Alexander GordinAGE:23PO:0OV:0
Michael Brandsegg-Nygard (R)AGE:19PO:0OV:0
Juha JaaskaAGE:26PO:0OV:0

Défense #1Défense #2Gardien
Haydn FleuryAGE:28PO:0OV:0
John MarinoAGE:27PO:0OV:0
Mattias SamuelssonAGE:24PO:0OV:0
Brandon CarloAGE:28PO:0OV:0
Zach WerenskiAGE:27PO:0OV:0
Patrik NemethAGE:32PO:0OV:0
Samuel KnazkoAGE:22PO:0OV:0
Maxwell GildonAGE:25PO:0OV:0
Ole Julian Bjorgvik-HolmAGE:22PO:0OV:0
Alex GagneAGE:22PO:0OV:0
Ville OttavainenAGE:22PO:0OV:0
Owen PickeringAGE:20PO:0OV:0
Nikita NovikovAGE:21PO:0OV:0
Elias Pettersson.AGE:20PO:0OV:0
Vittorio ManciniAGE:22PO:0OV:0
Quinton Burns (R)AGE:19PO:0OV:0
Mads SogaardAGE:24PO:0OV:0
Rasmus KorhonenAGE:22PO:0OV:0
Johan GustafssonAGE:32PO:0OV:0
Colten EllisAGE:24PO:0OV:0
Justus AnnunenAGE:24PO:0OV:0
Joonas KorpisaloAGE:30PO:0OV:0
Sergey MurashovAGE:20PO:0OV:0

Espoirs

Astuces sur les filtres (anglais seulement)
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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Andrew StrathmannBlues00
Antoine DorionBlues00
Arseni KoromyslovBlues00
Austin BurnevikBlues00
Benjamin KindelBlues00
Carsen MusserBlues00
Carter SandersonBlues00
Heikki RuohonenBlues00
Kieren DervinBlues00
Larry KeenanBlues00
Luke MittelstadtBlues00
Markus LoponenBlues00
Mason BeaupitBlues00
Michael HrabalBlues00
Nathan QuinnBlues00
Ondrej KosBlues00
Peyton KettlesBlues00
Shea BuschBlues00
Teddy MutrynBlues00

Choix au repêchage

Année R1R2R3R4R5R6R7
2026STL STL STL STL STL STL
2027STL STL STL STL STL STL STL
2028STL STL STL STL STL STL STL
2029STL STL STL STL STL STL STL
2030STL STL STL STL STL STL STL
Choix au repêchage conditionnel




La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.




Blues Historique de transactions

[04.03.2026 20:34:46] TRADE : From Blues to Oilers : Connor Murphy, Y:2026-RND:5-STL.
[04.03.2026 20:34:46] TRADE : From Oilers to Blues : John Marino.
[01.03.2026 08:10:13] New Record for Team's Most Hits (49) in 1 Game for Blues!
[01.03.2026 08:10:13] New Record for Team's Most Hits (49) in 1 Game for Blues!
[28.02.2026 19:52:44] Bulldogs GM Stats have been reset.
[06.01.2026 14:55:15] Johan Gustafsson was added to Blues.
[30.11.2025 20:13:35] TRADE : From Blues to Panthers : Adam Edstrom.
[16.11.2025 21:36:00] Juha Jaaska was added to Blues.
[02.11.2025 21:34:15] Nathan Quinn has been added to Blues.
[02.11.2025 21:34:15] Carter Sanderson has been added to Blues.
[02.11.2025 21:34:15] Shea Busch has been added to Blues.
[02.11.2025 21:34:15] Teddy Mutryn has been added to Blues.
[02.11.2025 21:34:15] Kieren Dervin has been added to Blues.
[02.11.2025 21:34:15] Peyton Kettles has been added to Blues.
[02.11.2025 21:34:15] Benjamin Kindel has been added to Blues.
[26.10.2025 22:22:02] Josh Anderson was added to Blues.
[13.10.2025 17:22:21] Bulldogs hired Kirk MacDonald for $600,000 for 2 year(s).
[12.10.2025 20:55:26] Blues hired Dan Muse for $1,000,000 for 2 year(s).
[05.09.2025 15:22:14] Oskar Jellvik has been deleted from Blues.
[24.08.2025 12:34:38] Tanner Howe was added to Blues.
[24.08.2025 12:34:31] Quinton Burns was added to Blues.
[24.08.2025 12:34:26] Michael Brandsegg-Nygard was added to Blues.
[09.08.2025 22:31:57] Patrick Maroon was released.
[09.08.2025 22:31:57] Blues paid $0 to release Patrick Maroon.
[09.08.2025 22:31:50] Nicklas Backstrom was released.
[09.08.2025 22:31:50] Blues paid $0 to release Nicklas Backstrom.
[09.08.2025 22:31:45] Evander Kane was released.
[09.08.2025 22:31:45] Blues paid $0 to release Evander Kane.
[09.08.2025 22:31:29] Alex Goligoski was released.
[09.08.2025 22:31:29] Blues paid $0 to release Alex Goligoski.
[09.08.2025 18:28:23] Spencer Carbary contract with Blues has ended.
[09.08.2025 18:28:23] Mike Vellucci contract with Bulldogs has ended.
[23.07.2025 20:19:18] Bulldogs was eliminated at round 1 of year 2024.
[12.07.2025 13:38:45] Blues didn't make playoff for year 2024.
[12.07.2025 12:35:58] New Record for Team's Most Hits (37) in 1 Game for Blues!
[09.06.2025 08:04:24] Patrick Maroon signed with Blues for $750,000 for 1 year(s).
[09.06.2025 08:04:24] Patrick Maroon was added to Blues.
[09.06.2025 08:04:08] Ryan Reaves signed with Blues for $735,000 for 2 year(s).
[09.06.2025 08:04:08] Ryan Reaves was added to Blues.
[09.06.2025 08:03:58] Corey Perry signed with Blues for $2,000,000 for 2 year(s).
[09.06.2025 08:03:58] Corey Perry was added to Blues.
[26.05.2025 08:24:34] Matt Nieto signed with Blues for $800,000 for 2 year(s).
[26.05.2025 08:24:34] Matt Nieto was added to Blues.
[16.05.2025 17:18:32] Nicolas Aube-Kubel signed with Blues for $800,000 for 2 year(s).
[16.05.2025 17:18:32] Nicolas Aube-Kubel was added to Blues.
[27.12.2024 09:01:13] Nicklas Backstrom signed with Blues for $1,300,000 for 1 year(s).
[27.12.2024 09:01:13] Nicklas Backstrom was added to Blues.
[08.09.2024 18:17:39] Antoine Dorion has been added to Blues.
[08.09.2024 18:17:39] Austin Burnevik has been added to Blues.
[08.09.2024 18:17:39] Markus Loponen has been added to Blues.
[08.09.2024 18:17:39] Heikki Ruohonen has been added to Blues.
[08.09.2024 18:17:39] Ondrej Kos has been added to Blues.
[08.09.2024 18:17:39] Tanner Howe has been added to Blues.
[08.09.2024 18:17:39] Michael Brandsegg-Nygard has been added to Blues.
[28.08.2024 11:34:50] Nick Campoli has been deleted from Blues.
[23.08.2024 07:55:14] Nate Danielson has been deleted from Blues.
[23.08.2024 07:55:10] Vittorio Mancini has been deleted from Blues.
[23.08.2024 07:55:05] Sergey Murashov has been deleted from Blues.
[17.08.2024 11:28:52] Kasper Bjorkqvist was released.
[17.08.2024 11:28:52] Blues paid € 0 to release Kasper Bjorkqvist.
[17.08.2024 11:28:49] Gustaf Westlund was released.
[17.08.2024 11:28:49] Blues paid € 0 to release Gustaf Westlund.
[16.08.2024 08:55:04] Sergey Murashov signed with Blues for € 750.000 for 3 year(s).
[16.08.2024 08:55:04] Sergey Murashov was added to Blues.
[16.08.2024 08:54:50] Nate Danielson signed with Blues for € 1.500.000 for 3 year(s).
[16.08.2024 08:54:50] Nate Danielson was added to Blues.
[16.08.2024 08:54:38] Vittorio Mancini signed with Blues for € 650.000 for 2 year(s).
[16.08.2024 08:54:38] Vittorio Mancini was added to Blues.
[13.08.2024 10:34:51] Nolan Stevens was released.
[13.08.2024 10:34:51] Blues paid € 0 to release Nolan Stevens.
[13.08.2024 10:34:43] Eric Comrie was released.
[13.08.2024 10:34:43] Blues paid € 0 to release Eric Comrie.
[13.08.2024 10:34:37] Patrick Brown was released.
[13.08.2024 10:34:37] Blues paid € 0 to release Patrick Brown.
[13.08.2024 10:34:33] Mike Hoffman was released.
[13.08.2024 10:34:33] Blues paid € 0 to release Mike Hoffman.
[13.08.2024 10:34:30] Josh Anderson was released.
[13.08.2024 10:34:30] Blues paid € 0 to release Josh Anderson.
[13.08.2024 10:34:27] Anton Forsberg was released.
[13.08.2024 10:34:27] Blues paid € 0 to release Anton Forsberg.
[13.07.2024 00:24:16] Blues was eliminated at round 1 of year 2023.
[06.07.2024 21:38:50] Bulldogs didn't make playoff for year 2023.
[19.02.2024 22:37:02] TRADE : From Blues to Blue Jackets : Marcus Foligno.
[19.01.2024 18:49:47] Mike Hoffman signed with Blues for € 1.100.000 for 1 year(s).
[19.01.2024 18:49:47] Mike Hoffman was added to Blues.
[19.01.2024 18:49:29] Patrick Brown signed with Blues for € 1.100.000 for 1 year(s) / Option : 1 Way Contract .
[19.01.2024 18:49:29] Patrick Brown was added to Blues.



Joonas Korpisalo est dehors pour 1 semaine à cause de Back Spasms Injury.
Corey Perry est dehors pour 1 jours à cause de Back Spasms Injury.
Owen Pickering est dehors pour 1 semaine à cause de Lacerated Left Calf Injury.
Vittorio Mancini est dehors pour 2 jours à cause de Bruised Right Shoulder Injury.



Blues Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Blues Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Blues Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P 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

Blues Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Blues Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA