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Blues
GP: 82 | W: 52 | L: 24 | OTL: 6 | P: 110
GF: 273 | GA: 221 | PP%: 17.47% | PK%: 84.84%
DG: Fred | Morale : 50 | Moyenne d’équipe : 72

Centre de jeu
Penguins
49-29-4, 102pts
1
FINAL
7 Blues
52-24-6, 110pts
Team Stats
L2SéquenceW3
28-12-1Fiche domicile33-7-1
21-17-3Fiche visiteur19-17-5
5-4-1Derniers 10 matchs9-1-0
3.09Buts par match 3.33
2.89Buts contre par match 2.70
16.40%Pourcentage en avantage numérique17.47%
82.04%Pourcentage en désavantage numérique84.84%
Blues
52-24-6, 110pts
5
FINAL
4 Mammoth
52-24-6, 110pts
Team Stats
W3SéquenceL3
33-7-1Fiche domicile28-11-2
19-17-5Fiche visiteur24-13-4
9-1-0Derniers 10 matchs5-4-1
3.33Buts par match 3.51
2.70Buts contre par match 2.80
17.47%Pourcentage en avantage numérique19.94%
84.84%Pourcentage en désavantage numérique80.66%
Meneurs d'équipe
Seth JarvisButs
Seth Jarvis
46
Claude GirouxPasses
Claude Giroux
54
Seth JarvisPoints
Seth Jarvis
95
Patrick KanePlus/Moins
Patrick Kane
28
Victoires
Samuel Montembeault
33
Pourcentage d’arrêts
Samuel Montembeault
0.895

Statistiques d’équipe
Buts pour
273
3.33 GFG
Tirs pour
2477
30.21 Avg
Pourcentage en avantage numérique
17.5%
65 GF
Début de zone offensive
43.3%
Buts contre
221
2.70 GAA
Tirs contre
2061
25.13 Avg
Pourcentage en désavantage numérique
84.8%%
37 GA
Début de la zone défensive
37.4%
Informations de l'équipe

Directeur généralFred
EntraîneurRod Brind'Amour
DivisionNorris Division
ConférenceWestern Conference
CapitaineClaude Giroux
Assistant #1Erik Karlsson
Assistant #2Travis Konecny


Informations de l’aréna

NomEnterprise Center
Capacité19,000
Assistance16,807
Billets de saison7,600


Informations de la formation

Équipe Pro20
Équipe Mineure16
Limite contact 36 / 51
Espoirs36


Plafond salarial

Cap Salarial de la Saison estimé95,069,540$
Plafond salarial disponible430,460$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour96,997,010$
Dépenses annuelles à ce jour99,069,476$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel27,160,315$
Compte bancaire projeté27,160,315$


Historique d'équipe

Saison actuelle52-24-6 (110PTS)
Historique52-24-7 (0.627%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)1 - 4 (0.200%)
Coupe Stanley0


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
1Seth JarvisXXX100.0078439294658192874382907625666886507702447,400,000$
2Lucas RaymondXX100.0065419287677999862888846985666682507602458,300,000$
3Anthony CirelliXX98.0061418987717998718979858125727881507502825,000,000$
4Travis Konecny (A)XX100.0076538185688599814187806848767880507502948,550,000$
5Claude Giroux (C)XX100.0071429281677898789780717757939876507503827,500,000$
6Patrick KaneXX100.00614094846377898236848062759499775074037111,250,000$
7Cutter Gauthier (R)XX100.007843919375679980388290602555557550730223950,000$
8Jonathan DrouinXXX100.00614195867078628438867760537577765072N03135,500,000$
9Nic DowdXX100.00814480777269996289637088257476745070N03532,700,000$
10Ryan PoehlingXX100.0063429182756685638673717975656573506902711,400,000$
11Andreas AthanasiouXXX100.00757282907259586980636573627172685067N03131,000,000$
12Beck MalenstynXXX100.009056887878579361545857782561626650650282900,000$
13Erik Karlsson (A)X100.00634191946887997725725475508892705075N03538,000,000$
14Thomas ChabotX100.0069439082748797742570518325727269507402938,000,000$
15Jared SpurgeonX100.0072429382598474792566498825848867507303617,000,000$
16Artem ZubX100.0075448275768173622554489225666665507003034,500,000$
17Nick BlankenburgX100.0073428781627890672554498525575765506902721,500,000$
18Pavel MintyukovX100.0077449078747285672555497925595964506802221,701,667$
Rayé
Équipe Mineure
1Mavrik Bourque (R)XX100.006742967866639066616568712553547050660242894,167$
2Georgii Merkulov (R)XXX100.007264917164788265806661635844446650630253925,000$
3Zack Ostapchuk (R)XX100.008579778281548860645555662551516350630222825,000$
4Logan MorrisonX100.007669926669818760755957645444446350620232870,000$
5Adam Sykora (R)XX100.007363966463828956505651624844446050590213806,667$
6Mathias LaferriereXX100.007569886469515152505347624544445550550251800,000$
7Henri NikkanenX100.008477996377383551645146664444445550540242925,000$
8Joel HanleyX100.007554877168767060255048812564666150670342950,000$
9Cale FleuryX100.008645997174606960254647782554546150650271920,000$
10Jacob BrysonX100.006140927462646561255147792564646050640283900,000$
11Isaiah George (R)X100.006342937572678159255048692547476050630223838,333$
12Vincent IorioX100.008178876578768348254041643944455550610232863,333$
13Jeremie PoirierX100.007271756671798654255241613944445650610231833,333$
14Hunter SkinnerX100.007074626574545650253945594344445250560242925,000$
MOYENNE D’ÉQUIPE99.94735389787071826747636072406263675067
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
1Samuel Montembeault100.007192888569736972697175636363637202912,800,000$
2Ukko-Pekka Luukkonen99.007181788570727370727158606069507102711,000,000$
Rayé
Équipe Mineure
1James Reimer100.006154577866566963656183727363506403821,400,000$
2Zach Sawchenko100.0052486071535452575554304444535054N0283825,000$
MOYENNE D’ÉQUIPE99.7564697180656466666564626060625365
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rod Brind'Amour81949188817568CAN5424,000,000$


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
1Seth JarvisBluesC/LW/RW8246499593201421763669525512.57%12161819.7491928823170001394435.11%13100031.17000001365
2Lucas RaymondBluesLW/RW823642781640431212888418312.50%9153218.6951520583010001339319.23%10400001.0214000843
3Patrick KaneBluesLW/RW823342752814042902386018213.87%7154218.827142154301000005132.29%9600010.9715000368
4Claude GirouxBluesC/RW821854721716090168182681319.89%12164720.0941418393220000404255.56%200500000.87130005212
5Anthony CirelliBluesC/LW82263763-118032212270882039.63%16166920.366131962275202113374155.25%215400120.7500000513
6Travis KonecnyBluesLW/RW823132632335127972366916513.14%3146617.8810102069310000019136.70%10900000.8600100350
7Erik KarlssonBluesD82174461112806975122398913.93%82190023.1712112386325000196100%000100.6400000402
8Ryan PoehlingBluesC/LW82143246-510027141136409910.29%16128215.64212142214100021752056.07%150700000.7200000211
9Jared SpurgeonBluesD827344113440109937942658.86%93177421.64459432450002207100%000000.4600000140
10Thomas ChabotBluesD817313812335637810134676.93%81184222.754610552620002197300%000000.4100010101
11Jonathan DrouinBluesC/LW/RW8219193814022751723411111.05%3120714.7245942247000006134.72%7200000.6301000151
12Cutter GauthierBluesC/LW8213122552156671121339910.74%5101112.3322415990000262133.72%8600000.4900010123
13Artem ZubBluesD8231922136810107596017335.00%107139817.06000180110183010%000000.3100001113
14Nic DowdBluesC/RW82139229475759798337013.27%1994611.540000010132281151.76%73800000.4700001121
15Nick BlankenburgBluesD825162168351116550213410.00%100146517.871123170000169000%000000.2900001001
16Andreas AthanasiouBluesC/LW/RW8231215-5141020616124474.92%65566.7900001000001153.42%36500000.5400020002
17Beck MalenstynBluesC/LW/RW827512-426067404092617.50%47168.740000900001454040.91%4400000.3300000031
18Pavel MintyukovBluesD651101145555122267283.85%2793014.31022461000013000%000000.2400001001
19Joel HanleyThunderbirds (STL)D17022-2401188160%1423713.950000000002000%000000.1700000000
20Mavrik BourqueThunderbirds (STL)C/RW17112-5203558520.00%01186.960000000000000%300000.3400000000
Statistiques d’équipe totales ou en moyenne149230050280212455650127717542659806189811.28%6162486416.67701291996353250314231900561753.08%741400260.65313144494248
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
1Samuel MontembeaultBlues53331720.8952.633100411361298020005329322
2Ukko-Pekka LuukkonenBlues3119740.8912.70184721837630100.692132953111
Statistiques d’équipe totales ou en moyenne84522460.8942.664948622192061030138282433


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
Andreas AthanasiouBluesC/LW/RW311994-08-06CANNo190 Lbs6 ft2YesNoFree Agent2025-01-16NoYes32025-08-21FalseFalsePro & Farm1,000,000$1,000,000$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------YesYes-------Lien / Lien NHL
Anthony Cirelli (contrat à 1 volet)BluesC/LW281997-07-15CANNo191 Lbs6 ft1NoNoTrade2026-03-07NoYes2FalseFalsePro & Farm5,000,000$5,000,000$0$No5,000,000$--------5,000,000$--------No--------Lien / Lien NHL
Artem Zub (contrat à 1 volet)BluesD301995-10-03RUSNo200 Lbs6 ft3NoNoTrade2024-07-11NoYes3FalseFalsePro & Farm4,500,000$4,500,000$0$No4,500,000$4,500,000$-------4,500,000$4,500,000$-------NoNo-------Lien / Lien NHL
Beck MalenstynBluesC/LW/RW281998-02-04CANNo209 Lbs6 ft3NoNoTrade2025-10-13NoYes22025-08-02FalseFalsePro & Farm900,000$900,000$0$No900,000$--------900,000$--------No--------Lien / Lien NHL
Claude Giroux (contrat à 1 volet)BluesC/RW381988-01-12CANNo188 Lbs5 ft11NoNoTrade2024-07-07NoYes2FalseFalsePro & Farm7,500,000$7,500,000$0$No7,500,000$--------7,500,000$--------No--------Lien / Lien NHL
Cutter GauthierBluesC/LW222004-01-19SWEYes201 Lbs6 ft2NoNoTrade2025-08-27NoNo32025-06-14FalseFalsePro & Farm950,000$950,000$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien / Lien NHL
Erik KarlssonBluesD351990-05-31SWENo186 Lbs6 ft0YesNoFree AgentNoYes32025-08-07FalseFalsePro & Farm8,000,000$8,000,000$0$No8,000,000$8,000,000$-------8,000,000$8,000,000$-------YesYes-------Lien / Lien NHL
Jared SpurgeonBluesD361989-11-29CANNo166 Lbs5 ft9NoNoTrade2025-03-14NoYes1FalseFalsePro & Farm7,000,000$7,000,000$0$No---------------------------Lien / Lien NHL
Jonathan DrouinBluesC/LW/RW311995-03-28CANNo198 Lbs5 ft11YesNoFree AgentNoYes32025-08-15FalseFalsePro & Farm5,500,000$5,500,000$0$No5,500,000$5,500,000$-------5,500,000$5,500,000$-------YesYes-------Lien / Lien NHL
Lucas RaymondBluesLW/RW242002-03-28SWENo188 Lbs5 ft11NoNoFree AgentNoNo52025-08-15FalseFalsePro & Farm8,300,000$8,300,000$0$No8,300,000$8,300,000$8,300,000$8,300,000$-----8,300,000$8,300,000$8,300,000$8,300,000$-----NoNoNoNo-----Lien / Lien NHL
Nic DowdBluesC/RW351990-05-27USANo190 Lbs6 ft2YesNoFree Agent2024-08-07NoYes32025-08-19FalseFalsePro & Farm2,700,000$2,700,000$0$No2,700,000$2,700,000$-------2,700,000$2,700,000$-------YesYes-------Lien / Lien NHL
Nick BlankenburgBluesD271998-05-12USANo177 Lbs5 ft9NoNoTrade2025-08-27NoYes22024-06-29FalseFalsePro & Farm1,500,000$1,500,000$0$No1,500,000$--------1,500,000$--------No--------Lien / Lien NHL
Patrick Kane (contrat à 1 volet)BluesLW/RW371988-11-19USANo177 Lbs5 ft10NoNoTrade2025-12-24NoYes1FalseFalsePro & Farm11,250,000$11,250,000$0$No---------------------------Lien / Lien NHL
Pavel MintyukovBluesD222003-11-25RUSNo200 Lbs6 ft1NoNoAssign ManuallyNoNo22024-06-29FalseFalsePro & Farm1,701,667$1,701,667$0$No1,701,667$--------1,701,667$--------No--------Lien
Ryan PoehlingBluesC/LW271999-01-03USANo204 Lbs6 ft2NoNoTrade2025-12-24NoYes1FalseFalsePro & Farm1,400,000$1,400,000$0$No---------------------------Lien / Lien NHL
Samuel MontembeaultBluesG291996-10-30QUENo213 Lbs6 ft3NoNoTrade2025-08-02NoYes12025-10-06FalseFalsePro & Farm2,800,000$2,800,000$0$No---------------------------Lien
Seth JarvisBluesC/LW/RW242002-02-01CANNo184 Lbs5 ft10NoNoFree AgentNoNo42025-08-15FalseFalsePro & Farm7,400,000$7,400,000$0$No7,400,000$7,400,000$7,400,000$------7,400,000$7,400,000$7,400,000$------NoNoNo------Lien / Lien NHL
Thomas Chabot (contrat à 1 volet)BluesD291997-01-30CANNo203 Lbs6 ft1NoNoTrade2025-12-20NoYes3FalseFalsePro & Farm8,000,000$8,000,000$0$No8,000,000$8,000,000$-------8,000,000$8,000,000$-------NoNo-------Lien / Lien NHL
Travis KonecnyBluesLW/RW291997-03-11CANNo192 Lbs5 ft10NoNoFree AgentNoYes42025-08-02FalseFalsePro & Farm8,550,000$8,550,000$0$No8,550,000$8,550,000$8,550,000$------8,550,000$8,550,000$8,550,000$------NoNoNo------Lien / Lien NHL
Ukko-Pekka LuukkonenBluesG271999-03-09FINNo223 Lbs6 ft5NoNoFree AgentNoYes12025-08-02FalseFalsePro & Farm1,000,000$1,000,000$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2029.45194 Lbs6 ft12.454,747,583$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
94,951,667$71,501,667$54,900,000$24,250,000$8,300,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lucas RaymondAnthony CirelliSeth Jarvis36023
2Cutter GauthierClaude GirouxPatrick Kane31023
3Jonathan DrouinRyan PoehlingTravis Konecny25122
4Beck MalenstynNic DowdAndreas Athanasiou8131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik KarlssonNick Blankenburg39023
2Jared SpurgeonThomas Chabot35122
3Artem ZubPavel Mintyukov25032
4Erik KarlssonArtem Zub1023
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cutter GauthierClaude GirouxPatrick Kane50005
2Lucas RaymondAnthony CirelliSeth Jarvis50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik KarlssonTravis Konecny70005
2Thomas ChabotJared Spurgeon30005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Anthony CirelliNic Dowd60050
2Ryan PoehlingBeck Malenstyn40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artem ZubJared Spurgeon60050
2Thomas ChabotNick Blankenburg40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Claude Giroux55050Artem ZubJared Spurgeon60050
2Anthony Cirelli45050Thomas ChabotNick Blankenburg40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Claude GirouxLucas Raymond60023
2Anthony CirelliSeth Jarvis40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jared SpurgeonErik Karlsson60032
2Thomas ChabotArtem Zub40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Seth JarvisClaude GirouxLucas RaymondThomas ChabotErik Karlsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Seth JarvisAnthony CirelliClaude GirouxArtem ZubJared Spurgeon
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Travis Konecny, Cutter Gauthier, Patrick KaneRyan Poehling, Jonathan DrouinClaude Giroux
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Artem Zub, Jared Spurgeon, Thomas ChabotNick BlankenburgErik Karlsson, Jared Spurgeon
Tirs de pénalité
Lucas Raymond, Patrick Kane, Claude Giroux, Jonathan Drouin, Travis Konecny
Gardien
#1 : Ukko-Pekka Luukkonen, #2 : Samuel Montembeault
Lignes d’attaque personnalisées en prolongation
Claude Giroux, Lucas Raymond, Seth Jarvis, Patrick Kane, Travis Konecny, Jonathan Drouin, Anthony Cirelli, Cutter Gauthier, Nic Dowd, Andreas Athanasiou
Lignes de défense personnalisées en prolongation
Erik Karlsson, Thomas Chabot, Jared Spurgeon, Artem Zub, Pavel Mintyukov


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
1Avalanche32100000862110000003122110000055040.667814220025101062047390632522401400.00%10190.00%01525277255.01%1253239352.36%680123455.11%846360203518
2Blackhawks41201000911-2210010007522020000026-440.50091726001431116403044213139277122418.18%11281.82%01525277255.01%1253239352.36%680123455.11%916499304923
3Blue Jackets20200000510-51010000036-31010000024-200.00051015000410501720130701318344125.00%9366.67%01525277255.01%1253239352.36%680123455.11%443149142611
4Bruins2110000048-4110000004221010000006-620.500481200130052131821051178421500.00%4175.00%01525277255.01%1253239352.36%680123455.11%533741152513
5Canadiens22000000523110000002111100000031241.00051015001040621517300531616184250.00%80100.00%01525277255.01%1253239352.36%680123455.11%422952152411
6Canucks30201000711-4100010003212020000049-520.333714210032118728282839630164515320.00%7271.43%01525277255.01%1253239352.36%680123455.11%775767203618
7Capitals20101000770100010006511010000012-120.5007142100321146178174511125189222.22%60100.00%01525277255.01%1253239352.36%680123455.11%463151162612
8Devils2020000025-31010000002-21010000023-100.000235000200511819140351313391200.00%3166.67%01525277255.01%1253239352.36%680123455.11%513442152514
9Ducks32000100141131100000042221000100109150.833142438002750923430280683125609222.22%8450.00%01525277255.01%1253239352.36%680123455.11%735069213820
10Flames320001001394110000004222100010097250.833132437005260933629280853833528337.50%140100.00%01525277255.01%1253239352.36%680123455.11%664573213919
11Flyers22000000734110000003121100000042241.000714210021406016301404015143510110.00%7185.71%01525277255.01%1253239352.36%680123455.11%483244142714
12Golden Knights311010001073210010008441010000023-140.6671018280025219121383116016225921314.29%11190.91%01525277255.01%1253239352.36%680123455.11%795564233819
13Hurricanes2110000023-11010000002-21100000021120.50024600200037131410069211227200.00%60100.00%01525277255.01%1253239352.36%680123455.11%443051132311
14Islanders21100000770110000004221010000035-220.5007121900223055211915044920305360.00%9455.56%01525277255.01%1253239352.36%680123455.11%503442132613
15Jets4300001018117220000009452100001097281.000183149001025113545474159013207723521.74%7271.43%01525277255.01%1253239352.36%680123455.11%1118083285026
16Kings32000010181352200000011741000001076161.00018314900674110827433746112174817952.94%40100.00%01525277255.01%1253239352.36%680123455.11%846162213820
17Kraken32100000156922000000121111010000035-240.66715264101753010448312505813184211218.18%90100.00%11525277255.01%1253239352.36%680123455.11%805760223920
18Lightning21000001981110000006421000000134-130.75091524003421782925235571423327228.57%9366.67%01525277255.01%1253239352.36%680123455.11%533645142613
19Mammoth4400000016972200000063322000000106481.000163046009340133514537011938306914321.43%14192.86%01525277255.01%1253239352.36%680123455.11%997187275226
20Maple Leafs22000000725110000003121100000041341.00071118003400522115160271083013323.08%40100.00%01525277255.01%1253239352.36%680123455.11%533740142613
21Oilers3120000069-32020000027-51100000042220.333610160031207531182608125264710110.00%13284.62%01525277255.01%1253239352.36%680123455.11%694671213919
22Panthers2010000169-31000000145-11010000024-210.2506121800213066192027241111940800.00%60100.00%01525277255.01%1253239352.36%680123455.11%523746132513
23Penguins220000001129110000007161100000041341.000111728005420612416210481762615320.00%30100.00%01525277255.01%1253239352.36%680123455.11%523742142413
24Predators4200110016972100100011652100010053270.875162844007351138344158512041276326519.23%10280.00%01525277255.01%1253239352.36%680123455.11%1087784295227
25Rangers22000000835110000005231100000031241.0008152300305066152724068131650400.00%70100.00%01525277255.01%1253239352.36%680123455.11%513542132613
26Red Wings21100000440110000003031010000014-320.50048120112104315919037168361218.33%40100.00%01525277255.01%1253239352.36%680123455.11%503543152513
27Sabres21000100770110000004311000010034-130.750712190012405319191417823104111218.18%50100.00%01525277255.01%1253239352.36%680123455.11%503545142513
28Senators2110000056-1110000004221010000014-320.500510150012205413281304014103012216.67%5180.00%01525277255.01%1253239352.36%680123455.11%543939142613
29Sharks321000009721010000013-22200000084440.66791625004050852629300652939699222.22%11281.82%01525277255.01%1253239352.36%680123455.11%775465193718
30Stars43100000963220000005232110000044060.750914230013501344344470701732591800.00%15286.67%01525277255.01%1253239352.36%680123455.11%1168374264927
31Wild31200000910-1211000005501010000045-120.33391120004320943531280852712541218.33%5260.00%01525277255.01%1253239352.36%680123455.11%745268213719
Total82452405422273221524128705001149935641171700421124128-41100.671273483756029685858247780483581832206162759213833726517.47%2443784.84%11525277255.01%1253239352.36%680123455.11%2094148018145931049537
_Since Last GM Reset82452405422273221524128705001149935641171700421124128-41100.671273483756029685858247780483581832206162759213833726517.47%2443784.84%11525277255.01%1253239352.36%680123455.11%2094148018145931049537
_Vs Conference50281304320177135422517404000915437251190032086815710.71017730848501665253615915195315272012523943668552294318.78%1492384.56%11525277255.01%1253239352.36%680123455.11%12949211092355635326
_Vs Division2616602110856223131010200046262013650011039363390.75085145230003423253856268285294126782001704331291813.95%721283.33%01525277255.01%1253239352.36%680123455.11%686493557184328168

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82110W327348375624772061627592138302
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8245245422273221
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41287500114993
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4117170421124128
Derniers 10 matchs
WLOTWOTL SOWSOL
810010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3726517.47%2443784.84%1
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
804835818329685858
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
1525277255.01%1253239352.36%680123455.11%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2094148018145931049537


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
315Wild3Blues1LSommaire du match
523Blues3Flames4LXSommaire du match
746Blues2Canucks5LSommaire du match
959Blackhawks3Blues4WXSommaire du match
1283Stars1Blues3WSommaire du match
15104Kings4Blues7WSommaire du match
17117Mammoth2Blues3WSommaire du match
19133Blues1Red Wings4LSommaire du match
21148Blues4Penguins1WSommaire du match
22158Red Wings0Blues3WSommaire du match
24172Canucks2Blues3WXSommaire du match
26189Blues2Blue Jackets4LSommaire du match
28200Oilers5Blues2LSommaire du match
30214Blues1Capitals2LSommaire du match
31219Blues3Sabres4LXSommaire du match
33239Kraken0Blues5WSommaire du match
36260Flames2Blues4WSommaire du match
39280Flyers1Blues3WSommaire du match
40292Golden Knights2Blues3WXSommaire du match
43307Blues4Maple Leafs1WSommaire du match
45324Blues4Flyers2WSommaire du match
47336Blues3Islanders5LSommaire du match
49355Blues3Rangers1WSommaire du match
51364Blues2Devils3LSommaire du match
53382Senators2Blues4WSommaire du match
54398Mammoth1Blues3WSommaire du match
56409Ducks2Blues4WSommaire du match
59426Blues0Bruins6LSommaire du match
61445Blues1Senators4LSommaire du match
62457Blues3Canadiens1WSommaire du match
64472Bruins2Blues4WSommaire du match
66487Blues1Predators2LXSommaire du match
67493Blackhawks2Blues3WSommaire du match
70517Predators2Blues6WSommaire du match
72531Jets2Blues5WSommaire du match
73541Rangers2Blues5WSommaire du match
75554Blues2Panthers4LSommaire du match
77571Blues3Lightning4LXXSommaire du match
82595Predators4Blues5WXSommaire du match
84610Sabres3Blues4WSommaire du match
86629Blues2Avalanche3LSommaire du match
88640Golden Knights2Blues5WSommaire du match
89648Canadiens1Blues2WSommaire du match
93679Blues2Blackhawks3LSommaire du match
95696Blues5Mammoth2WSommaire du match
96710Blues2Golden Knights3LSommaire du match
99730Hurricanes2Blues0LSommaire du match
102751Lightning4Blues6WSommaire du match
104769Blues4Oilers2WSommaire du match
106785Blues5Jets4WXXSommaire du match
109804Blues2Stars3LSommaire du match
110816Kings3Blues4WSommaire du match
113836Stars1Blues2WSommaire du match
115852Panthers5Blues4LXXSommaire du match
117868Blue Jackets6Blues3LSommaire du match
119880Blues4Predators1WSommaire du match
121899Blues2Stars1WSommaire du match
143925Kraken1Blues7WSommaire du match
145943Devils2Blues0LSommaire du match
146951Blues4Wild5LSommaire du match
149974Blues3Kraken5LSommaire du match
151989Blues3Sharks2WSommaire du match
1531006Blues4Ducks5LXSommaire du match
1551019Islanders2Blues4WSommaire du match
1571033Blues2Hurricanes1WSommaire du match
1581042Oilers2Blues0LSommaire du match
1601057Blues4Jets3WSommaire du match
1631081Blues6Flames3WSommaire du match
1661107Blues2Canucks4LSommaire du match
1691128Capitals5Blues6WXSommaire du match
1711143Sharks3Blues1LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1731160Maple Leafs1Blues3WSommaire du match
1751177Blues5Sharks2WSommaire du match
1771189Blues7Kings6WXXSommaire du match
1791206Blues6Ducks4WSommaire du match
1811228Blues3Avalanche2WSommaire du match
1831238Avalanche1Blues3WSommaire du match
1851253Jets2Blues4WSommaire du match
1871266Blues0Blackhawks3LSommaire du match
1891286Wild2Blues4WSommaire du match
1901299Penguins1Blues7WSommaire du match
1921309Blues5Mammoth4WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000400030001000
Prix des billets1701259870255
Assistance229,736180,536137,208108,72032,904
Attendance PCT93.39%88.07%83.66%88.39%80.25%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 16807 - 88.46% 2,365,781$96,997,010$19000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
99,069,476$ 94,951,667$ 94,951,667$ 4,000,000$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
494,540$ 95,069,540$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 515,373$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 27,160,315$ 27,160,315$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
95,069,540$ 430,460$ 95,500,000$ 24,469,540$



Charte de profondeur

Ailier gaucheCentreAilier droit
Seth JarvisAGE:24PO:86OV:77
Lucas RaymondAGE:24PO:82OV:76
Anthony CirelliAGE:28PO:81OV:75
Travis KonecnyAGE:29PO:80OV:75
Patrick KaneAGE:37PO:77OV:74
Cutter Gauthier (R)AGE:22PO:75OV:73
Jonathan DrouinAGE:31PO:76OV:72
Ryan PoehlingAGE:27PO:73OV:69
Andreas AthanasiouAGE:31PO:68OV:67
Beck MalenstynAGE:28PO:66OV:65
Georgii Merkulov (R)AGE:25PO:66OV:63
Zack Ostapchuk (R)AGE:22PO:63OV:63
Adam Sykora (R)AGE:21PO:60OV:59
Seth JarvisAGE:24PO:86OV:77
Anthony CirelliAGE:28PO:81OV:75
Claude GirouxAGE:38PO:76OV:75
Cutter Gauthier (R)AGE:22PO:75OV:73
Jonathan DrouinAGE:31PO:76OV:72
Nic DowdAGE:35PO:74OV:70
Ryan PoehlingAGE:27PO:73OV:69
Andreas AthanasiouAGE:31PO:68OV:67
Mavrik Bourque (R)AGE:24PO:70OV:66
Beck MalenstynAGE:28PO:66OV:65
Georgii Merkulov (R)AGE:25PO:66OV:63
Zack Ostapchuk (R)AGE:22PO:63OV:63
Logan MorrisonAGE:23PO:63OV:62
Adam Sykora (R)AGE:21PO:60OV:59
Mathias LaferriereAGE:25PO:55OV:55
Henri NikkanenAGE:24PO:55OV:54
Seth JarvisAGE:24PO:86OV:77
Lucas RaymondAGE:24PO:82OV:76
Travis KonecnyAGE:29PO:80OV:75
Claude GirouxAGE:38PO:76OV:75
Patrick KaneAGE:37PO:77OV:74
Jonathan DrouinAGE:31PO:76OV:72
Nic DowdAGE:35PO:74OV:70
Andreas AthanasiouAGE:31PO:68OV:67
Mavrik Bourque (R)AGE:24PO:70OV:66
Beck MalenstynAGE:28PO:66OV:65
Georgii Merkulov (R)AGE:25PO:66OV:63
Mathias LaferriereAGE:25PO:55OV:55

Défense #1Défense #2Gardien
Erik KarlssonAGE:35PO:70OV:75
Thomas ChabotAGE:29PO:69OV:74
Jared SpurgeonAGE:36PO:67OV:73
Artem ZubAGE:30PO:65OV:70
Nick BlankenburgAGE:27PO:65OV:69
Pavel MintyukovAGE:22PO:64OV:68
Joel HanleyAGE:34PO:61OV:67
Cale FleuryAGE:27PO:61OV:65
Jacob BrysonAGE:28PO:60OV:64
Isaiah George (R)AGE:22PO:60OV:63
Jeremie PoirierAGE:23PO:56OV:61
Vincent IorioAGE:23PO:55OV:61
Hunter SkinnerAGE:24PO:52OV:56
Samuel MontembeaultAGE:29PO:63OV:72
Ukko-Pekka LuukkonenAGE:27PO:69OV:71
James ReimerAGE:38PO:63OV:64
Zach SawchenkoAGE:28PO:53OV:54

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
Aidan HreschukBlues202184
Alexander NikishinBlues20201002025-12-01Lien
Anttoni HonkaBlues201968Lien
Ayrton MartinoBlues202159WLien
Brent JohnsonBlues202170DLien
Christian KyrouBlues202249DLien
Darels UljanskisBlues2024216
Dominic BasseBlues2019198
Eerik WalleniusBlues2024157
Gabe SmithBlues2024139
Garin BjorklundBlues2020175
Hampton SlukynskyBlues2023104GLien
Hunter St. MartinBlues2024197
Jackson SmithBlues202518DLien
Jacob LeguerrierBlues2019161
James ReederBlues2024195
Jan GolicicBlues2024136
Jesper EliassonBlues2018106
Joel SvenssonBlues2024171
Kaden PitreBlues2024168
Kasper KulonummiBlues202273DLien
Kim SaarinenBlues202473GLien
Kirill GerasimyukBlues2021129
Linus FunckBlues2025133
Luca MarrelliBlues2024118D2025-08-27Lien
Maxmilian CurranBlues2024131FLien
McKade WebsterBlues2019216
Miguel MarquesBlues202472WLien
Milan KloucekBlues2018215
Niilopekka MuhonenBlues2024142
Patrik HamrlaBlues202173
Shea BuschBlues2025146
Simon RobertssonBlues202155LW
Tanner LudtkeBlues2023102
Tristan BertucciBlues2023772025-08-27Lien
Veeti LouhivaaraBlues2024133

Choix au repêchage

Année R1R2R3R4R5R6R7
2026STL STL STL STL BOS STL NSH STL
2027STL 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

[2026-03-07 8:01:01 PM] TRADE : From Kings to Blues : Anthony Cirelli (75).
[2026-03-07 8:01:01 PM] TRADE : From Blues to Kings : Jean-Gabriel Pageau (73), Matthew Poitras (64), Carter George (P), Y:2027-RND:1-STL.
[2025-12-24 6:54:56 PM] TRADE : From Stars to Blues : Patrick Kane (74), Ryan Poehling (69).
[2025-12-24 6:54:56 PM] TRADE : From Blues to Stars : Jonathan Huberdeau (75), Tomas Nosek (64), Vasily Podkolzin (66), Y:2027-RND:4-CAR.
[2025-12-20 6:07:31 PM] TRADE : From Canucks to Blues : Thomas Chabot (74).
[2025-12-20 6:07:31 PM] TRADE : From Blues to Canucks : Ivan Provorov (74).
[2025-12-01 5:41:00 PM] TRADE : From Blues to Avalanche : Dmitriy Simashev (P).
[2025-12-01 5:41:00 PM] TRADE : From Avalanche to Blues : Alexander Nikishin (P).
[2025-10-13 10:39:10 PM] TRADE : From Wild to Blues : $100,000 (Money).
[2025-10-13 10:39:10 PM] TRADE : From Blues to Wild : Justin Kirkland (64).
[2025-10-13 10:37:53 PM] TRADE : From Blues to Jets : $100,000 (Money).
[2025-10-13 10:37:53 PM] TRADE : From Jets to Blues : Beck Malenstyn (66).
[2025-10-13 10:37:25 PM] TRADE : From Blues to Wild : $100,000 (Money).
[2025-10-13 10:37:25 PM] TRADE : From Wild to Blues : Joel Hanley (67).
[2025-10-13 10:36:58 PM] TRADE : From Blues to Sabres : $100,000 (Money).
[2025-10-13 10:36:58 PM] TRADE : From Sabres to Blues : Jacob Bryson (64).
[2025-10-13 10:31:58 PM] Blues show interest in Jacob Bryson from waiver.
[2025-10-05 7:30:14 PM] TRADE : From Sharks to Blues : Vasily Podkolzin (66).
[2025-10-05 7:30:14 PM] TRADE : From Blues to Sharks : Adam Boqvist (64).
[2025-09-17 9:54:22 PM] Travis Konecny has been selected as assistant for Blues.
[2025-09-17 9:54:22 PM] Unknown Player is no longer as assistant for Blues.
[2025-09-17 9:54:22 PM] Erik Karlsson has been selected as assistant for Blues.
[2025-09-17 9:54:22 PM] Unknown Player is no longer as assistant for Blues.
[2025-09-17 9:54:22 PM] Claude Giroux has been selected as captain for Blues.
[2025-09-17 9:54:22 PM] Unknown Player is no longer captain for Blues.
[2025-09-08 8:13:21 PM] Thunderbirds hired Patrick Roy for $975,000 for 3 year(s).
[2025-08-27 5:02:15 PM] TRADE : From Flyers to Blues : Nick Blankenburg (69), Tristan Bertucci (P).
[2025-08-27 5:02:15 PM] TRADE : From Blues to Flyers : Alexandre Texier (63), Samuel Girard (71).
[2025-08-27 5:01:29 PM] TRADE : From Sharks to Blues : Cutter Gauthier (71), Luca Marrelli (P).
[2025-08-27 5:01:29 PM] TRADE : From Blues to Sharks : Connor McMichael (71), Peyton Krebs (68).
[2025-08-21 7:44:00 PM] Justin Kirkland signed with Blues for $875,000 for 3 year(s) / Option : No Trade.
[2025-08-21 7:44:00 PM] Justin Kirkland was added to Blues.
[2025-08-21 7:43:35 PM] Andreas Athanasiou signed with Blues for $1,000,000 for 3 year(s) / Option : No Trade & Signing Bonus of $750,000.
[2025-08-21 7:43:35 PM] Andreas Athanasiou was added to Blues.
[2025-08-21 7:33:43 PM] Zach Sawchenko signed with Blues for $825,000 for 3 year(s) / Option : No Trade.
[2025-08-21 7:33:43 PM] Zach Sawchenko was added to Blues.
[2025-08-19 8:27:54 PM] Nic Dowd signed with Blues for $2,700,000 for 3 year(s) / Option : No Trade & Signing Bonus of $2,025,000.
[2025-08-19 8:27:54 PM] Nic Dowd was added to Blues.
[2025-08-15 8:50:09 PM] Jonathan Drouin signed with Blues for $5,500,000 for 3 year(s) / Option : No Trade & Signing Bonus of $4,000,000.
[2025-08-15 8:50:09 PM] Jonathan Drouin was added to Blues.
[2025-08-15 4:03:53 PM] Seth Jarvis signed with Blues for $7,400,000 for 4 year(s).
[2025-08-15 4:03:53 PM] Seth Jarvis was added to Blues.
[2025-08-15 4:03:34 PM] Lucas Raymond signed with Blues for $8,300,000 for 5 year(s).
[2025-08-15 4:03:34 PM] Lucas Raymond was added to Blues.



Pas de blessure ou de suspension.


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
1Seth Jarvis8246499593214217636612.57%12161819.74919288200014435.11%31.1700
2Lucas Raymond823642781644312128812.50%9153218.69515205800019319.23%01.0214
3Patrick Kane823342752814429023813.87%7154218.82714215400005132.29%10.9715
4Claude Giroux821854721716901681829.89%12164720.09414183900004255.56%00.8713
5Travis Konecny823132632331279723613.14%3146617.881010206900009136.70%00.8600

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
1Samuel Montembeault53331720.8952.63310041136129802000
2Ukko-Pekka Luukkonen3119740.8912.70184721837630100.69213

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
Saison régulière
202582452405422273221524128705001149935641171700421124128-4110273483756029685858247780483581832206162759213833726517.47%2443784.84%11525277255.01%1253239352.36%680123455.11%2094148018145931049537
Total Saison régulière82452405422273221524128705001149935641171700421124128-4110273483756029685858247780483581832206162759213833726517.47%2443784.84%11525277255.01%1253239352.36%680123455.11%2094148018145931049537
Séries éliminatoires
2024514000001621-52020000079-231200000912-3216304600103301504661421158433310418527.78%12466.67%09218450.00%9517953.07%459447.87%12889115356332
Total Séries éliminatoires514000001621-52020000079-231200000912-3216304600103301504661421158433310418527.78%12466.67%09218450.00%9517953.07%459447.87%12889115356332

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
1Claude Giroux506610315190%110721.59022000000053.38%01.1100
2Jonathan Drouin5246-60761513.33%09318.73112300000033.33%01.2800
3Lucas Raymond5426-66452516.00%09719.53213800000030.00%01.2300
4Erik Karlsson5055325740%312925.8602220000000%00.7700
5Logan Couture5134-62913714.29%010721.51011200000050.38%00.7400

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
1Ukko-Pekka Luukkonen41300.8534.29238001711600000
2Semyon Varlamov10010.9053.64660044200000