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Connexion

Blues
GP: 2 | W: 1 | L: 0 | OTL: 1 | P: 3
GF: 7 | GA: 5 | PP%: 25.00% | PK%: 100.00%
DG: Joe Larson | Morale : 50 | Moyenne d’équipe : 79
Prochains matchs #37 vs Harfang

Centre de jeu
Blues
1-0-1, 3pts
6
3 Militia
1-1-0, 2pts
Team Stats
OTL1SéquenceW1
0-0-0Fiche domicile1-1-0
1-0-1Fiche visiteur0-0-0
1-0-1Derniers 10 matchs1-1-0
3.50Buts par match 5.50
2.50Buts contre par match 6.50
25.00%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique83.33%
Blues
1-0-1, 3pts
1
2 Chaos
1-1-0, 2pts
Team Stats
OTL1SéquenceW1
0-0-0Fiche domicile1-1-0
1-0-1Fiche visiteur0-0-0
1-0-1Derniers 10 matchs1-1-0
3.50Buts par match 2.50
2.50Buts contre par match 3.50
25.00%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique100.00%
Harfang
0-2-0, 0pts
2026-04-02
Blues
1-0-1, 3pts
Statistiques d’équipe
L2SéquenceOTL1
0-2-0Fiche domicile0-0-0
0-0-0Fiche visiteur1-0-1
0-2-010 derniers matchs1-0-1
3.00Buts par match 3.50
6.00Buts contre par match 3.50
33.33%Pourcentage en avantage numérique25.00%
0.00%Pourcentage en désavantage numérique100.00%
Redbull
0-2-0, 0pts
2026-04-03
Blues
1-0-1, 3pts
Statistiques d’équipe
L2SéquenceOTL1
0-2-0Fiche domicile0-0-0
0-0-0Fiche visiteur1-0-1
0-2-010 derniers matchs1-0-1
3.50Buts par match 3.50
5.50Buts contre par match 3.50
0.00%Pourcentage en avantage numérique25.00%
80.00%Pourcentage en désavantage numérique100.00%
Meneurs d'équipe
Buts
Jooel Tuomisalo
2
Passes
Duma Dodrescu
4
Points
Duma Dodrescu
4
Plus/Moins
John-Michael Mcdonough
2
Victoires
Bryce Bruha
1
Pourcentage d’arrêts
Bryce Bruha
0.923

Statistiques d’équipe
Buts pour
7
3.50 GFG
Tirs pour
77
38.50 Avg
Pourcentage en avantage numérique
25.0%
1 GF
Début de zone offensive
45.8%
Buts contre
5
2.50 GAA
Tirs contre
65
32.50 Avg
Pourcentage en désavantage numérique
100.0%%
0 GA
Début de la zone défensive
32.5%
Informations de l'équipe

Directeur généralJoe Larson
EntraîneurJaxxon Hanni
DivisionCentral
ConférenceWestern Conference
CapitaineArvi-Antti Ahokari
Assistant #1Andrei Flatley
Assistant #2Maxym Pansegrau


Informations de l’aréna

NomHard Rock Place
Capacité18,000
Assistance
Billets de saison7,200


Informations de la formation

Équipe Pro20
Équipe Mineure30
Limite Contrat50 / 55
Espoirs9


Plafond salarial

Cap Salarial de la Saison estimé0$
Plafond salarial disponible59,000,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel65,470,009$
Compte bancaire projeté65,470,009$


Historique d'équipe

Saison actuelle1-0-1 (3PTS)
Historique201-159-37 (0.506%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)7 - 15 (0.318%)
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
1Jooel Tuomisalo95X100.0099557293999884916268749952437133508603023,600,000$
2Duma Dodrescu88X100.00626263939999769961789989416971265086030310,500,000$
3Maxym Pansegrau (A)39X100.0044498169998462848299928284648722508203113,000,000$
4John-Michael Mcdonough0X100.0090555289998483769570669934706258508202443,100,000$
5Daniel Weber55X100.00453585659586866685799193704384535081X02522,800,000$
6Tod Benedict0X100.0079499260987197798886497764587862507902352,400,000$
7Andrei Flatley (A)51X100.0052465898909664817490566366579746507802821,646,873$
8Vintila Dragan19X100.0046536782879783769859787041376713507703311,600,000$
9Stig Lunde (R)0X100.0082747377908873778954877484688364507701921,000,000$
10Andre Corrigall (R)0X100.008635925788675893468952992949537550760211900,000$
11Halvor Dahl (R)0X100.008236677683807367758069807079776550760192900,000$
12Romeo Rocca22X100.0083667785696168695253939640683519507303111,400,000$
13Curtis Gordic17X100.0084558990899190962566498251985566508202344,130,000$
14Kodi Lapalme28X100.0089699287986652942579837094795913508003233,550,000$
15Layton Neveu4X100.005567819890768972258368579745440507903711,500,000$
16Dominic Burry64X100.0073556998977288762572585780428332507702832,290,000$
17Arvi-Antti Ahokari (C)2X100.0087529372927881732578416444419817507603231,500,000$
18Blair Kuntz78X100.007268969296778756256576495184460507603722,300,000$
Rayé
MOYENNE D’ÉQUIPE100.00735578829282777959757178616169375079
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
1Bryce Bruha0100.006576848596759685559168554954508102444,050,100$
2Luis Henrich31100.005583888379739953729498438838507802731,999,000$
Rayé
MOYENNE D’ÉQUIPE100.0060808684887498696493834969465080
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jaxxon Hanni95369983974679CAN3911,750,000$


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
1Duma DodrescuBluesRW2044200039110%13618.100110300000000%141002.2100000010
2John-Michael McdonoughBluesC21232405253120.00%13618.2000000000020051.16%4310001.6500000000
3Jooel TuomisaloBluesLW22021002061233.33%13618.1000002000000050.00%221001.1000000000
4Vintila DraganBluesRW21120001363416.67%02613.07000000000000100.00%110001.5300000100
5Arvi-Antti AhokariBluesD2011000100000%22613.050000000000000%001000.7700000000
6Kodi LapalmeBluesD2011000545240%24924.910110200004000%022000.4000000000
7Curtis GordicBluesD2101-1004441025.00%15226.130000200004000%022000.3800000000
8Andrei FlatleyBluesC2011000222230%0178.6600000000000014.29%710001.1500000000
9Daniel WeberBluesC2101-1001163116.67%33115.8300002000031030.00%2012000.6300000000
10Dominic BurryBluesD2011200721020%14422.320000300003000%001000.4500000001
11Maxym PansegrauBluesC2011020023150%13316.8900003000000039.47%3800000.5900000000
12Andre CorrigallBluesRW2011000015120%1199.550000000003000%000001.0500000000
13Stig LundeBluesLW21010206452020.00%23316.771011300000000%300000.6000000000
14Romeo RoccaBluesLW2000000541200%32010.470000000003000%00100000000000
15Layton NeveuBluesD200021010021110%34020.320000300003000%01100000011000
16Blair KuntzBluesD2000000213000%02512.800000000000000%00100000000000
17Tod BenedictBluesRW20000006110360%13618.2100002000110050.00%42300000000000
18Halvor DahlBluesLW2000000525260%02512.72000000000000100.00%20100000000000
Statistiques d’équipe totales ou en moyenne36713207181052387728389.09%2359216.451231300001311041.32%1211717000.6800011111
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
1Bryce BruhaBlues21010.9232.501200056535000020000
Statistiques d’équipe totales ou en moyenne21010.9232.50120005653500020000


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond 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
Andre CorrigallBluesRW212007-12-15CANYes202 Lbs5 ft11NoNoDraftNoNo12025-02-25FalseFalsePro & Farm900,000$900,000$900,000$No---------------------------
Andrei FlatleyBluesC282000-04-16CANNo224 Lbs6 ft7NoNoTrade2025-06-24NoNo22026-05-03FalseFalsePro & Farm1,646,873$1,646,873$1,646,873$No1,646,873$--------1,646,873$--------No--------
Arvi-Antti AhokariBluesD321996-08-27FINNo209 Lbs6 ft4NoNoAssign ManuallyNoNo32026-05-02FalseFalsePro & Farm1,500,000$1,500,000$1,500,000$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Blair KuntzBluesD371991-02-07CANNo190 Lbs5 ft11NoNoFree AgentNoNo22026-05-03FalseFalsePro & Farm2,300,000$2,300,000$2,300,000$No2,300,000$--------2,300,000$--------No--------
Bryce BruhaBluesG242004-05-26CANNo182 Lbs5 ft11NoNoAssign ManuallyNoNo42025-10-26FalseFalsePro & Farm4,050,100$4,050,100$4,050,100$No4,050,100$4,050,100$4,050,100$------4,050,100$4,050,100$4,050,100$------NoNoNo------
Curtis GordicBluesD232005-05-14CANNo219 Lbs6 ft2NoNoAssign ManuallyNoNo42025-10-26FalseFalsePro Only4,130,000$4,130,000$4,130,000$No4,130,000$4,130,000$4,130,000$------4,130,000$4,130,000$4,130,000$------NoNoNo------
Daniel WeberBluesC252003-06-07SWENo181 Lbs5 ft10NoYesTrade2024-02-28NoNo22024-06-05FalseFalsePro & Farm2,800,000$2,800,000$2,800,000$No2,800,000$--------2,800,000$--------No--------
Dominic BurryBluesD282000-08-16CANNo178 Lbs5 ft6NoNoN/ANoNo32026-05-03FalseFalsePro & Farm2,290,000$2,290,000$2,290,000$No2,290,000$2,290,000$-------2,290,000$2,290,000$-------NoNo-------
Duma DodrescuBluesRW301998-05-23ROUNo244 Lbs6 ft8NoNoAssign ManuallyNoNo32026-05-03FalseFalsePro & Farm10,500,000$10,500,000$10,500,000$No10,500,000$10,500,000$-------10,500,000$10,500,000$-------NoNo-------
Halvor DahlBluesLW192009-03-17NORYes173 Lbs5 ft10NoNoAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm900,000$900,000$900,000$No900,000$--------900,000$--------No--------
John-Michael McdonoughBluesC242004-10-02CANNo166 Lbs5 ft10NoNoAssign Manually2025-02-08NoNo42025-10-26FalseFalsePro & Farm3,100,000$3,100,000$3,100,000$No3,100,000$3,100,000$3,100,000$------3,100,000$3,100,000$3,100,000$------NoNoNo------
Jooel TuomisaloBluesLW301998-10-03FINNo205 Lbs6 ft7NoNoN/ANoNo22024-06-05FalseFalsePro & Farm3,600,000$3,600,000$3,600,000$No3,600,000$--------3,600,000$--------No--------
Kodi LapalmeBluesD321996-12-08CANNo209 Lbs6 ft0NoNoTrade2025-06-24NoNo32025-02-02FalseFalsePro & Farm3,550,000$3,550,000$3,550,000$No3,550,000$3,550,000$-------3,550,000$3,550,000$-------NoNo-------
Layton NeveuBluesD371991-02-18CANNo165 Lbs5 ft7NoNoAssign ManuallyNoNo12026-05-02FalseFalsePro & Farm1,500,000$1,500,000$1,500,000$No---------------------------
Luis HenrichBluesG272001-06-06GERNo218 Lbs6 ft3NoNoAssign ManuallyNoNo32025-02-01FalseFalsePro & Farm1,999,000$1,999,000$1,999,000$No1,999,000$1,999,000$-------1,999,000$1,999,000$-------NoNo-------
Maxym PansegrauBluesC311997-10-19CANNo177 Lbs5 ft9NoNoN/ANoNo12024-06-05FalseFalsePro & Farm3,000,000$3,000,000$3,000,000$No---------------------------
Romeo RoccaBluesLW311997-04-03CANNo207 Lbs6 ft6NoNoAssign Manually2025-06-24NoNo12026-05-02FalseFalsePro & Farm1,400,000$1,400,000$1,400,000$No---------------------------
Stig LundeBluesLW192009-05-14NORYes195 Lbs6 ft6NoNoAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm1,000,000$1,000,000$1,000,000$No1,000,000$--------1,000,000$--------No--------
Tod BenedictBluesRW232005-11-25USANo179 Lbs5 ft7NoNoTrade2025-10-06NoNo52026-05-03FalseFalsePro & Farm2,400,000$2,400,000$2,400,000$No2,400,000$2,400,000$2,400,000$2,400,000$-----2,400,000$2,400,000$2,400,000$2,400,000$-----NoNoNoNo-----
Vintila DraganBluesRW331995-05-01ROUNo218 Lbs6 ft6NoNoAssign ManuallyNoNo12025-02-01FalseFalsePro & Farm1,600,000$1,600,000$1,600,000$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2027.70197 Lbs6 ft12.452,708,299$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
54,165,973$45,765,973$33,519,100$13,680,100$2,400,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jooel TuomisaloJohn-Michael McdonoughDuma Dodrescu35014
2Stig LundeMaxym PansegrauTod Benedict32014
3Halvor DahlDaniel WeberVintila Dragan23023
4Romeo RoccaAndrei FlatleyAndre Corrigall10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Curtis GordicKodi Lapalme35032
2Layton NeveuDominic Burry35032
3Arvi-Antti AhokariBlair Kuntz20032
4Curtis GordicKodi Lapalme10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Stig LundeMaxym PansegrauDuma Dodrescu50005
2Jooel TuomisaloDaniel WeberTod Benedict50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Curtis GordicKodi Lapalme50014
2Layton NeveuDominic Burry50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1John-Michael McdonoughRomeo Rocca50041
2Daniel WeberAndre Corrigall50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Curtis GordicKodi Lapalme50041
2Layton NeveuDominic Burry50041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1John-Michael Mcdonough50050Curtis GordicKodi Lapalme50050
2Daniel Weber50050Layton NeveuDominic Burry50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Daniel WeberJooel Tuomisalo50014
2John-Michael McdonoughDuma Dodrescu50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Curtis GordicKodi Lapalme50122
2Layton NeveuDominic Burry50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Maxym PansegrauDaniel WeberDuma DodrescuCurtis GordicKodi Lapalme
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andre CorrigallJohn-Michael McdonoughJooel TuomisaloLayton NeveuDominic Burry
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jooel Tuomisalo, Duma Dodrescu, John-Michael McdonoughMaxym Pansegrau, Daniel WeberTod Benedict
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Curtis Gordic, Kodi Lapalme, Layton NeveuDominic BurryArvi-Antti Ahokari, Blair Kuntz
Tirs de pénalité
Duma Dodrescu, Romeo Rocca, Maxym Pansegrau, Stig Lunde, Daniel Weber
Gardien
#1 : Bryce Bruha, #2 : Luis Henrich
Lignes d’attaque personnalisées en prolongation
Daniel Weber, Duma Dodrescu, Jooel Tuomisalo, John-Michael Mcdonough, Maxym Pansegrau, Tod Benedict, Stig Lunde, Vintila Dragan, Halvor Dahl, Romeo Rocca
Lignes de défense personnalisées en prolongation
Curtis Gordic, Kodi Lapalme, Layton Neveu, Dominic Burry, Blair Kuntz


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
TotalDomicile Visiteur
# 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 RI
1Chaos1000010012-1000000000001000010012-110.50012300010033820502651228100.00%10100.00%0225540.00%153938.46%132650.00%2111199199
2Militia11000000633000000000001100000063321.0006111700231044161216039186243133.33%30100.00%0225540.00%153938.46%132650.00%2213218157
Total21000100752000000000002100010075230.75071320002410772432210652318524125.00%40100.00%0225540.00%153938.46%132650.00%432441173517
_Since Last GM Reset21000100752000000000002100010075230.75071320002410772432210652318524125.00%40100.00%0225540.00%153938.46%132650.00%432441173517

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
23OTL171320776523185200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
210010075
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
210010075
Derniers 10 matchs
WLOTWOTL SOWSOL
100100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
4125.00%40100.00%0
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
24322102410
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
225540.00%153938.46%132650.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
432441173517


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
1 - 2026-03-3111Blues6Militia3WSommaire du match
2 - 2026-04-0126Blues1Chaos2LXSommaire du match
3 - 2026-04-0237Harfang-Blues-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
4 - 2026-04-0350Redbull-Blues-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets110654030200
Assistance0%0%0%0%0%
Attendance PCT0%0%0%0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
2 0 - 0%0$0$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 54,165,973$ 54,165,973$ 1,750,000$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 2 0$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 65,470,009$ 65,470,009$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 59,000,000$ 59,000,000$ -26,000,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Jooel TuomisaloAGE:30PO:33OV:86
Stig Lunde (R)AGE:19PO:64OV:77
Halvor Dahl (R)AGE:19PO:65OV:76
Von HoltstonAGE:28PO:47OV:73
Romeo RoccaAGE:31PO:19OV:73
Tavish DuhatschekAGE:34PO:8OV:73
Pyotr GachAGE:28PO:35OV:72
Vince HerriotAGE:32PO:21OV:72
Dexter Lovatsis (R)AGE:22PO:72OV:70
Norman DobrescuAGE:25PO:61OV:65
John-Michael McdonoughAGE:24PO:58OV:82
Maxym PansegrauAGE:31PO:22OV:82
Daniel WeberAGE:25PO:53OV:81
Andrei FlatleyAGE:28PO:46OV:78
Korey MaciagAGE:29PO:33OV:74
Xander HenryAGE:30PO:31OV:72
Torsten OrsaAGE:33PO:22OV:72
Rafael JewittAGE:33PO:14OV:72
Griffith Deer (R)AGE:21PO:76OV:69
Brennan KnappAGE:25PO:61OV:67
Duma DodrescuAGE:30PO:26OV:86
Tod BenedictAGE:23PO:62OV:79
Dominik Hajas (R)AGE:21PO:69OV:77
Vintila DraganAGE:33PO:13OV:77
Andre Corrigall (R)AGE:21PO:75OV:76
Maddison BilckeAGE:27PO:36OV:76
Stanislav Budaj (R)AGE:18PO:72OV:75
Forester OCorleyAGE:33PO:13OV:75
Noa Mustajarvi (R)AGE:21PO:68OV:72
Adrian Tillberg (R)AGE:22PO:67OV:71

Défense #1Défense #2Gardien
Curtis GordicAGE:23PO:66OV:82
Kodi LapalmeAGE:32PO:13OV:80
Layton NeveuAGE:37PO:0OV:79
Dominic BurryAGE:28PO:32OV:77
Jeremiah Dunin (R)AGE:23PO:63OV:76
Arvi-Antti AhokariAGE:32PO:17OV:76
Blair KuntzAGE:37PO:0OV:76
Sergey IzvolinAGE:28PO:32OV:73
Karl-Erik Vestin (R)AGE:20PO:74OV:72
Felix-Nicolas Curatolo (R)AGE:21PO:71OV:72
Jaxson SergerieAGE:30PO:35OV:70
Christian CannanAGE:34PO:10OV:70
Daxton WentworthAGE:36PO:4OV:70
Martti-Veikko SurvonenAGE:30PO:31OV:69
Anatoliy PotochnyakAGE:30PO:28OV:68
Val Cuming (R)AGE:23PO:62OV:67
Bryce BruhaAGE:24PO:54OV:81
Luis HenrichAGE:27PO:38OV:78
Giovanni Cremen (R)AGE:22PO:69OV:75
Burt Bannon (R)AGE:22PO:75OV:68

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
Alois VimrBlues4952025-10-10
Dalimir KrupanskyBlues6121
Daniil DaugeBlues663
Erik BeitoBlues5103
Florentin DroseBlues695
Hynek VasakBlues599
Nathaniel RadmacherBlues4108
Phillipp HegglinBlues5120
Walter WaspeBlues652

Choix au repêchage

Année R1R2R3R4R5
7
8
9
10
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Blues Historique de transactions

[6/9/2026 3:55:55 PM] Karl-Erik Vestin was added to Blues.
[6/8/2026 12:05:14 PM] Tavish Duhatschek has been selected as assistant for Jazz.
[6/8/2026 12:05:14 PM] Unknown Player is no longer as assistant for Jazz.
[6/8/2026 12:05:14 PM] Val Cuming has been selected as assistant for Jazz.
[6/8/2026 12:05:14 PM] Unknown Player is no longer as assistant for Jazz.
[6/8/2026 12:05:14 PM] Xander Henry has been selected as captain for Jazz.
[6/8/2026 12:05:14 PM] Unknown Player is no longer captain for Jazz.
[6/8/2026 12:05:14 PM] Maxym Pansegrau has been selected as assistant for Blues.
[6/8/2026 12:05:14 PM] Unknown Player is no longer as assistant for Blues.
[6/8/2026 12:05:14 PM] Andrei Flatley has been selected as assistant for Blues.
[6/8/2026 12:05:14 PM] Jooel Tuomisalo is no longer as assistant for Blues.
[6/8/2026 12:05:14 PM] Arvi-Antti Ahokari has been selected as captain for Blues.
[6/8/2026 12:05:14 PM] Unknown Player is no longer captain for Blues.
[6/8/2026 9:11:17 AM] Torsten Orsa signed with Blues for $700,000 for 1 year(s).
[6/8/2026 9:11:17 AM] Torsten Orsa was added to Blues.
[6/8/2026 9:10:46 AM] Korey Maciag signed with Blues for $984,000 for 1 year(s).
[6/8/2026 9:10:46 AM] Korey Maciag 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
1Duma Dodrescu38819819639414407530539188010.53%215749819.33283967131011933842.60%91.05838
2Jooel Tuomisalo383154164318-17248773530147710.43%215699318.2616213792000931634.97%70.911032
3Kalle-Veikko Kekalainen392102193295-2339578555111498.88%152688517.56123244582241191038.59%20.8618
4Maxym Pansegrau3741301582883131300455121610.69%186717719.19241842753032619745.49%70.80718
5Wes Pushka305106148254-812151430095511.10%130569118.66232245691011017553.27%10.89421

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
1Sampa Paunonen282143102280.9103.1516391121860952537871020.657108
2Bryce Bruha99393780.9123.07544910027931641595930.77836
3Luis Henrich2110820.9152.8812082058683388010.76913
4Ignat Omelichev2491220.8784.4211964088723421200.8336

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
180283006871275278-340141504430133137-4401415024411421411912754507251054107101212952953100897057277599271617431472517.01%2234778.92%2896188547.53%894187647.65%605130346.43%1720103717737121372661
28038250365328324934401612014431261151140221302210157134231012834737560086103861730921027109593965286792881117481522919.08%2363386.02%2926197246.96%931212643.79%591124047.66%1729104317617121360651
3803031062472622539401815030221281161240121603225134137-38926243469620699489152941994100989977281598062217791453423.45%1973184.26%3830189443.82%955207146.11%534119144.84%1758107817576951348657
480264302234236282-4640122501011121161-4040141801223115121-6682363876233152948592834894101390742283193269216941342518.66%2073981.16%1894192746.39%1045213249.02%595121149.13%1707102917856941347653
5803630024532642471740161401441139122174020160101212512509326443169500689990132893883108490056281389170116871513523.18%2053483.41%4903186348.47%988209347.20%617124349.64%1701101717846941361673
Total Saison régulière4001581590192224181320130911200768101012147647651-4200827809101011673658154421320217534956132949745175147124751520946152971410147233542865172914820.30%106818482.77%124449954146.63%48131029846.74%2942618847.54%861852068863350967903298
Séries éliminatoires
11147000003746-95230000021201624000001626-1083760971081910044715712916104111209222515426.67%26773.08%315432846.95%11028538.60%8018144.20%2331452489417784
2624000001416-23120000068-23120000088041426400044602196966795197582414410110.00%12283.33%06315440.91%6616041.25%337643.42%134811295310351
5514000001119-830300000411-72110000078-121121321025401976574580179633011611218.18%10190.00%04412136.36%4812638.10%286940.58%10664108438542
Total Séries éliminatoires22715000006281-191138000003139-81147000003142-111462107169201428200863291269298578724114648536719.44%481079.17%326160343.28%22457139.23%14132643.25%475291486191365178

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
1Duma Dodrescu201282011519241229.84%1036918.50112610120036.67%01.0800
2Maxym Pansegrau229817-171114236513.85%1442519.34134400021051.28%00.8000
3Kalle-Veikko Kekalainen2261016-17115441797.59%841518.91022400000030.85%00.7700
4Robert Sisma1731215143030397.69%634920.58011101101053.20%00.8600
5Jooel Tuomisalo205712-7153915559.09%1234017.00303700000028.57%00.7100

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
1Sampa Paunonen2271220.9023.51126560747523181100
2Ignat Omelichev10100.8895.002400218110100
3Luis Henrich20000.8005.14350031590000