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Blues
GP: 26 | W: 15 | L: 7 | OTL: 4 | P: 34
GF: 100 | GA: 85 | PP%: 22.22% | PK%: 80.00%
DG: Joe Larson | Morale : 50 | Moyenne d’équipe : 79
Prochains matchs #351 vs Dockheads

Centre de jeu
Blues
15-7-4, 34pts
6
3 Privateers
14-13-0, 28pts
Team Stats
OTL1SéquenceL6
9-2-3Fiche domicile10-5-0
6-5-1Fiche visiteur4-8-0
5-4-1Derniers 10 matchs4-6-0
3.85Buts par match 3.33
3.27Buts contre par match 3.19
22.22%Pourcentage en avantage numérique20.00%
80.00%Pourcentage en désavantage numérique91.89%
Blues
15-7-4, 34pts
3
4 Orcas
11-12-3, 25pts
Team Stats
OTL1SéquenceW3
9-2-3Fiche domicile3-7-2
6-5-1Fiche visiteur8-5-1
5-4-1Derniers 10 matchs4-6-0
3.85Buts par match 3.00
3.27Buts contre par match 3.27
22.22%Pourcentage en avantage numérique21.62%
80.00%Pourcentage en désavantage numérique84.72%
Dockheads
15-9-2, 32pts
2026-07-30
Blues
15-7-4, 34pts
Statistiques d’équipe
OTL1SéquenceOTL1
8-5-2Fiche domicile9-2-3
7-4-0Fiche visiteur6-5-1
5-4-110 derniers matchs5-4-1
3.38Buts par match 3.85
3.04Buts contre par match 3.85
16.67%Pourcentage en avantage numérique22.22%
78.05%Pourcentage en désavantage numérique80.00%
Blues
15-7-4, 34pts
2026-07-31
Stingrays
11-12-3, 25pts
Statistiques d’équipe
OTL1SéquenceSOL1
9-2-3Fiche domicile8-5-2
6-5-1Fiche visiteur3-7-1
5-4-110 derniers matchs5-4-1
3.85Buts par match 3.19
3.27Buts contre par match 3.19
22.22%Pourcentage en avantage numérique19.30%
80.00%Pourcentage en désavantage numérique77.78%
Twisters
14-11-1, 29pts
2026-08-02
Blues
15-7-4, 34pts
Statistiques d’équipe
W1SéquenceOTL1
9-5-0Fiche domicile9-2-3
5-6-1Fiche visiteur6-5-1
6-4-010 derniers matchs5-4-1
3.23Buts par match 3.85
2.92Buts contre par match 3.85
15.52%Pourcentage en avantage numérique22.22%
78.26%Pourcentage en désavantage numérique80.00%
Meneurs d'équipe
Buts
Duma Dodrescu
21
Passes
Maxym Pansegrau
18
Points
Duma Dodrescu
33
Plus/Moins
Dominic Burry
15
Victoires
Bryce Bruha
13
Pourcentage d’arrêts
Bryce Bruha
0.925

Statistiques d’équipe
Buts pour
100
3.85 GFG
Tirs pour
967
37.19 Avg
Pourcentage en avantage numérique
22.2%
10 GF
Début de zone offensive
37.5%
Buts contre
85
3.27 GAA
Tirs contre
939
36.12 Avg
Pourcentage en désavantage numérique
80.0%%
9 GA
Début de la zone défensive
36.6%
Informations de l'équipe

Directeur généralJoe Larson
EntraîneurJaxxon Hanni
DivisionCentral
ConférenceWestern Conference
Capitaine
Assistant #1Andrei Flatley
Assistant #2Maxym Pansegrau


Informations de l’aréna

NomHard Rock Place
Capacité18,000
Assistance17,015
Billets de saison7,200


Informations de la formation

Équipe Pro20
Équipe Mineure31
Limite Contrat51 / 55
Espoirs9


Plafond salarial

Cap Salarial de la Saison estimé57,992,787$
Plafond salarial disponible1,007,213$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour24,534,527$
Dépenses annuelles à ce jour17,758,874$
Revenus de la saison estimés45,564,122$
Dépenses de la saison estimées39,025,188$
Compte bancaire actuel63,220,335$
Compte bancaire projeté71,633,751$


Historique d'équipe

Saison actuelle15-7-4 (34PTS)
Historique216-166-38 (0.514%)
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 Corrigall0X100.008635925788675893468952992949537550760211900,000$
11Halvor Dahl0X100.008236677683807367758069807079776550760192900,000$
12Stanislav Budaj (R)0X100.0067646783857484928455835465737672507501831,000,000$
13Curtis Gordic17X100.0084558990899190962566498251985566508202344,130,000$
14Kodi Lapalme28X100.0089699287986652942579837094795913508003233,550,000$
15Layton Neveu4X100.005567819890768972258368579745440507903711,500,000$
16Kory Nestor0X100.009645608154939771257237959165505507703422,783,000$
17Dominic Burry64X100.0073556998977288762572585780428332507702832,290,000$
18Blair Kuntz78X100.007268969296778756256576495184460507603722,300,000$
Rayé
MOYENNE D’ÉQUIPE100.00725475839183798061757077656269395079
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 Bruha097.006576848596759685559168554954508102444,050,100$
2Luis Henrich31100.005583888379739953729498438838507802731,999,000$
Rayé
MOYENNE D’ÉQUIPE98.5060808684887498696493834969465080
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 DodrescuBluesRW26211233829153329116266618.10%2653020.3940415360000172034.29%352014011.2502120520
2Maxym PansegrauBluesC2610182872025080264412.50%1647818.41022136000002047.96%54077001.1712000102
3Tod BenedictBluesRW2691726055303776193511.84%846717.970444360000100061.11%36713001.1100001113
4Halvor DahlBluesLW26913221080503671144012.68%1433512.9200000000003069.23%13106001.3100000104
5Kodi LapalmeBluesD26516211512526357927326.33%3559723.00213939011135000%02626000.7000113013
6John-Michael McdonoughBluesC26613192362066507817497.69%1147318.20011000003302054.66%547911000.8001112020
7Layton NeveuBluesD263131610323071530152010.00%2347318.2312343400003000%01111000.6811033021
8Jooel TuomisaloBluesLW20691577561178126437.41%637518.762241236000010140.74%27166000.8000010200
9Vintila DraganBluesRW2686141020161968213911.76%1032812.6200001000003047.06%1793000.8500000000
10Curtis GordicBluesD26211134101040364218234.76%4464624.88022038000340000%01416000.4000101000
11Daniel WeberBluesC26761380033744101715.91%1741315.901012370000352149.49%29749000.6301000120
12Stig LundeBluesLW2647113392547324412379.09%945517.54022136000010138.10%211211000.4801023010
13Dominic BurryBluesD260101015222047282111120%1956321.67011034000132000%0815000.3500112000
14Stanislav BudajBluesLW1544829515238112110.53%215910.6200000000000120.00%1073001.0000001030
15Andrei FlatleyBluesC26347-440101129131010.34%92168.3200000101130035.71%7062000.6500000010
16Andre CorrigallBluesRW26145-40028202010165.00%112469.49000000000340028.57%7210000.4100000100
17Kory NestorBluesD2604412157039239140%4248818.8100000000034000%029000.1600001000
18Blair KuntzBluesD2412300020811659.09%632913.740000000004000%035000.1800000000
19Romeo RoccaJazz (BLU)LW11022-44018911260%911710.65000000001140014.29%703000.3401000000
20Tavish DuhatschekJazz (BLU)LW4011-100142120%0369.050000000000000%211000.5500000000
21Arvi-Antti AhokariJazz (BLU)D20000275133000%02412.230000000000000%00100000001000
22Jeremiah DuninJazz (BLU)D2000000000000%021.480000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne468991722717530817059151796729453110.24%317776116.58101727483681121030114449.42%1629174182010.702951118121513
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 BruhaBlues2113520.9252.6811862053708331000.6673206431
2Luis HenrichBlues92220.8664.833850031231112000.8336620010
Statistiques d’équipe totales ou en moyenne3015740.9113.21157120849394430092626441


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 CorrigallBluesRW212007-12-15CANNo202 Lbs5 ft11NoNoDraftNoNo12025-02-25FalseFalsePro & Farm900,000$900,000$618,367$No---------------------------
Andrei FlatleyBluesC282000-04-16CANNo224 Lbs6 ft7NoNoTrade2025-06-24NoYes22026-05-03FalseFalsePro & Farm1,646,873$1,646,873$1,131,525$No1,646,873$--------1,646,873$--------No--------
Blair KuntzBluesD371991-02-07CANNo190 Lbs5 ft11NoNoFree AgentNoYes22026-05-03FalseFalsePro & Farm2,300,000$2,300,000$1,580,272$No2,300,000$--------2,300,000$--------No--------
Bryce BruhaBluesG242004-05-26CANNo182 Lbs5 ft11NoNoAssign ManuallyNoYes42025-10-26FalseFalsePro & Farm4,050,100$4,050,100$2,782,722$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$2,837,619$No4,130,000$4,130,000$4,130,000$------4,130,000$4,130,000$4,130,000$------NoNoNo------
Daniel WeberBluesC252003-06-07SWENo181 Lbs5 ft10NoYesTrade2024-02-28NoYes22024-06-05FalseFalsePro & Farm2,800,000$2,800,000$1,923,810$No2,800,000$--------2,800,000$--------No--------
Dominic BurryBluesD282000-08-16CANNo178 Lbs5 ft6NoNoN/ANoYes32026-05-03FalseFalsePro & Farm2,290,000$2,290,000$1,573,401$No2,290,000$2,290,000$-------2,290,000$2,290,000$-------NoNo-------
Duma DodrescuBluesRW301998-05-23ROUNo244 Lbs6 ft8NoNoAssign ManuallyNoYes32026-05-03FalseFalsePro & Farm10,500,000$10,500,000$7,214,286$No10,500,000$10,500,000$-------10,500,000$10,500,000$-------NoNo-------
Halvor DahlBluesLW192009-03-17NORNo173 Lbs5 ft10NoNoAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm900,000$900,000$618,367$No900,000$--------900,000$--------No--------
John-Michael McdonoughBluesC242004-10-02CANNo166 Lbs5 ft10NoNoAssign Manually2025-02-08NoYes42025-10-26FalseFalsePro & Farm3,100,000$3,100,000$2,129,932$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/ANoYes22024-06-05FalseFalsePro & Farm3,600,000$3,600,000$2,473,469$No3,600,000$--------3,600,000$--------No--------
Kodi LapalmeBluesD321996-12-08CANNo209 Lbs6 ft0NoNoTrade2025-06-24NoYes32025-02-02FalseFalsePro & Farm3,550,000$3,550,000$2,439,116$No3,550,000$3,550,000$-------3,550,000$3,550,000$-------NoNo-------
Kory NestorBluesD341994-06-27CANNo211 Lbs6 ft4NoNoTrade2026-06-12NoYes22025-09-28FalseFalsePro & Farm2,783,000$2,783,000$1,912,129$No2,783,000$--------2,783,000$--------No--------
Layton NeveuBluesD371991-02-18CANNo165 Lbs5 ft7NoNoAssign ManuallyNoYes12026-05-02FalseFalsePro & Farm1,500,000$1,500,000$1,030,612$No---------------------------
Luis HenrichBluesG272001-06-06GERNo218 Lbs6 ft3NoNoAssign ManuallyNoNo32025-02-01FalseFalsePro & Farm1,999,000$1,999,000$1,373,463$No1,999,000$1,999,000$-------1,999,000$1,999,000$-------NoNo-------
Maxym PansegrauBluesC311997-10-19CANNo177 Lbs5 ft9NoNoN/ANoYes12024-06-05FalseFalsePro & Farm3,000,000$3,000,000$2,061,224$No---------------------------
Stanislav BudajBluesLW182010-08-21SVKYes215 Lbs6 ft1NoNoDraftNoNo32026-05-19FalseFalsePro & Farm1,000,000$1,000,000$687,075$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Stig LundeBluesLW192009-05-14NORYes195 Lbs6 ft6NoNoAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm1,000,000$1,000,000$687,075$No1,000,000$--------1,000,000$--------No--------
Tod BenedictBluesRW232005-11-25USANo179 Lbs5 ft7NoNoTrade2025-10-06NoNo52026-05-03FalseFalsePro & Farm2,400,000$2,400,000$1,648,980$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 ManuallyNoYes12025-02-01FalseFalsePro & Farm1,600,000$1,600,000$1,099,320$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2027.15198 Lbs6 ft12.502,752,449$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
55,048,973$48,048,973$33,019,100$13,680,100$2,400,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jooel TuomisaloMaxym PansegrauDuma Dodrescu35014
2Stig LundeJohn-Michael McdonoughTod Benedict32014
3Halvor DahlDaniel WeberVintila Dragan23023
4Stanislav BudajAndrei FlatleyAndre Corrigall10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Curtis GordicKodi Lapalme40032
2Layton NeveuDominic Burry37032
3Kory NestorBlair Kuntz23032
4Curtis GordicKodi Lapalme0122
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 McdonoughDuma Dodrescu50041
2Daniel WeberAndre Corrigall50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Curtis GordicKory Nestor50041
2Kodi LapalmeDominic 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 WeberMaxym Pansegrau50014
2John-Michael McdonoughDuma Dodrescu50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Curtis GordicKory Nestor50122
2Kodi LapalmeDominic Burry50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Maxym PansegrauDaniel WeberDuma DodrescuCurtis GordicKory Nestor
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andre CorrigallJohn-Michael McdonoughStanislav BudajKory NestorCurtis Gordic
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Daniel Weber, Duma Dodrescu, John-Michael McdonoughMaxym Pansegrau, Daniel WeberTod Benedict
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Curtis Gordic, Kodi Lapalme, Layton NeveuDominic BurryKory Nestor, Curtis Gordic
Tirs de pénalité
Duma Dodrescu, John-Michael Mcdonough, Maxym Pansegrau, Stig Lunde, Daniel Weber
Gardien
#1 : Bryce Bruha, #2 : Luis Henrich
Lignes d’attaque personnalisées en prolongation
Daniel Weber, Duma Dodrescu, Andre Corrigall, John-Michael Mcdonough, Maxym Pansegrau, Tod Benedict, Stig Lunde, Vintila Dragan, Halvor Dahl, Stanislav Budaj
Lignes de défense personnalisées en prolongation
Curtis Gordic, Kodi Lapalme, Kory Nestor, Dominic Burry, Layton Neveu


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
1Bandits21100000752110000006331010000012-120.500712190013307623322107721538400.00%000%030260649.83%30559151.61%19841747.48%442843153116
2Blizzard11000000716110000007160000000000021.00071219005020461782103712342222100.00%20100.00%030260649.83%30559151.61%19841747.48%2315207168
3Chaos11000000312000000000001100000031221.0003690003003361890338931100.00%20100.00%030260649.83%30559151.61%19841747.48%1911219189
4Dockheads22000000743110000003211100000042241.0007132000142077352121068252447000%2150.00%030260649.83%30559151.61%19841747.48%432844143216
5Dynasty1000010034-11000010034-10000000000010.5003690020102785140411114224125.00%20100.00%030260649.83%30559151.61%19841747.48%2213218168
6Knights1010000039-61010000039-60000000000000.0003690021004015169039121725000%10100.00%030260649.83%30559151.61%19841747.48%2112218178
7Lumberjacks1010000037-41010000037-40000000000000.0003470020102914780371611242150.00%3166.67%030260649.83%30559151.61%19841747.48%2113218167
8Maulers1000010045-11000010045-10000000000010.5004610003010381515713912917200.00%2150.00%030260649.83%30559151.61%19841747.48%2213228168
9Muertos20200000612-60000000000020200000612-600.0006101600222070283111073283848100.00%4175.00%030260649.83%30559151.61%19841747.48%382146173517
10Orcas1000010034-1000000000001000010034-110.5003690001204012131322712428300.00%2150.00%030260649.83%30559151.61%19841747.48%2415178189
11Privateers220000001046110000004131100000063341.00010182800523071202526075211643300.00%3166.67%030260649.83%30559151.61%19841747.48%412444173417
12Razorbacks30200001714-71000000123-120200000511-610.1677121900232011135482741133729617114.29%7185.71%030260649.83%30559151.61%19841747.48%623767275425
13Royals11000000532000000000001100000053221.000591400221040171013036112244250.00%10100.00%030260649.83%30559151.61%19841747.48%1810248178
14Stingrays11000000312110000003120000000000021.0003580021003617910036162418100.00%20100.00%130260649.83%30559151.61%19841747.48%2113227168
15Stormbreakers220000001028110000004131100000061541.000101929002530783132150762733536233.33%40100.00%030260649.83%30559151.61%19841747.48%452742163116
16Trident10000010321100000103210000000000021.0003470010123817126928131918100.00%2150.00%030260649.83%30559151.61%19841747.48%2213238189
17Voodoo3300000016792200000012661100000041361.00016244000655011738522701043522724125.00%6183.33%030260649.83%30559151.61%19841747.48%664162245026
Total2614700311100851514820021157451212650010043403340.65410017227200383229296734835425816939317310591451022.22%45980.00%130260649.83%30559151.61%19841747.48%563340567217442221
_Since Last GM Reset2614700311100851514820021157451212650010043403340.65410017227200383229296734835425816939317310591451022.22%45980.00%130260649.83%30559151.61%19841747.48%563340567217442221
_Vs Conference1896002016960996100101402713935001002933-4210.58369118187002323230671241249178665322421441533824.24%32681.25%030260649.83%30559151.61%19841747.48%394241388149303152
_Vs Division85200001302554300000117116422000001314-1110.6883049790091290305108121754285977518011218.18%15380.00%030260649.83%30559151.61%19841747.48%1731061746613768

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2634OTL110017227296793931731059100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
26147031110085
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
148202115745
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
126501004340
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
451022.22%45980.00%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
348354258163832292
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
30260649.83%30559151.61%19841747.48%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
563340567217442221


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 - 2026-06-1412Razorbacks3Blues2LXXSommaire du match
3 - 2026-06-1626Stingrays1Blues3WSommaire du match
5 - 2026-06-1835Blues5Royals3WSommaire du match
6 - 2026-06-1950Stormbreakers1Blues4WSommaire du match
8 - 2026-06-2155Blues6Stormbreakers1WSommaire du match
10 - 2026-06-2377Voodoo3Blues6WSommaire du match
11 - 2026-06-2484Maulers5Blues4LXSommaire du match
13 - 2026-06-26102Dynasty4Blues3LXSommaire du match
15 - 2026-06-28110Blues1Razorbacks2LSommaire du match
17 - 2026-06-30130Voodoo3Blues6WSommaire du match
19 - 2026-07-02143Knights9Blues3LSommaire du match
20 - 2026-07-03151Blues1Muertos6LSommaire du match
22 - 2026-07-05168Privateers1Blues4WSommaire du match
24 - 2026-07-07182Blizzard1Blues7WSommaire du match
26 - 2026-07-09189Blues4Voodoo1WSommaire du match
27 - 2026-07-10206Dockheads2Blues3WSommaire du match
29 - 2026-07-12211Blues4Razorbacks9LSommaire du match
30 - 2026-07-13227Trident2Blues3WXXSommaire du match
32 - 2026-07-15238Blues5Muertos6LSommaire du match
34 - 2026-07-17258Lumberjacks7Blues3LSommaire du match
36 - 2026-07-19271Blues3Chaos1WSommaire du match
37 - 2026-07-20280Blues1Bandits2LSommaire du match
39 - 2026-07-22292Bandits3Blues6WSommaire du match
41 - 2026-07-24311Blues4Dockheads2WSommaire du match
43 - 2026-07-26320Blues6Privateers3WSommaire du match
45 - 2026-07-28333Blues3Orcas4LXSommaire du match
47 - 2026-07-30351Dockheads-Blues-
48 - 2026-07-31354Blues-Stingrays-
50 - 2026-08-02375Twisters-Blues-
52 - 2026-08-04390Blues-Bandits-
54 - 2026-08-06402Dynasty-Blues-
55 - 2026-08-07404Blues-Voodoo-
57 - 2026-08-09429Blizzard-Blues-
58 - 2026-08-10435Mighty Moose-Blues-
60 - 2026-08-12447Blues-Militia-
62 - 2026-08-14467Voltage-Blues-
64 - 2026-08-16477Blues-Harfang-
66 - 2026-08-18493Blues-Lumberjacks-
67 - 2026-08-19495Blues-Voltage-
69 - 2026-08-21519Razorbacks-Blues-
71 - 2026-08-23532Dockheads-Blues-
72 - 2026-08-24540North Stars-Blues-
74 - 2026-08-26552Chaos-Blues-
76 - 2026-08-28572Blues-Blizzard-
78 - 2026-08-30584Muertos-Blues-
80 - 2026-09-01593Blues-Red Tails-
81 - 2026-09-02604Voodoo-Blues-
83 - 2026-09-04622Blues-Dockheads-
85 - 2026-09-06634Militia-Blues-
86 - 2026-09-07643Red Tails-Blues-
89 - 2026-09-10661Redbull-Blues-
90 - 2026-09-11668Blues-Redbull-
92 - 2026-09-13687Voodoo-Blues-
93 - 2026-09-14692Lumberjacks-Blues-
95 - 2026-09-16702Blues-Twisters-
97 - 2026-09-18724Dockheads-Blues-
99 - 2026-09-20727Blues-Stormbreakers-
100 - 2026-09-21741Blues-Razorbacks-
103 - 2026-09-24760Blues-Razorbacks-
104 - 2026-09-25774Razorbacks-Blues-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
106 - 2026-09-27785Blues-Knights-
107 - 2026-09-28789Blues-Voodoo-
109 - 2026-09-30806Blues-Dynasty-
111 - 2026-10-02826Royals-Blues-
113 - 2026-10-04834Blues-Maulers-
114 - 2026-10-05844Harfang-Blues-
117 - 2026-10-08859Blues-Voodoo-
118 - 2026-10-09874Blues-Dockheads-
120 - 2026-10-11880Blues-North Stars-
124 - 2026-10-15909Blues-Mighty Moose-
125 - 2026-10-16916Blues-Orcas-
127 - 2026-10-18934Orcas-Blues-
128 - 2026-10-19935Blues-Voltage-
131 - 2026-10-22952Blues-Trident-
132 - 2026-10-23968Stormbreakers-Blues-
134 - 2026-10-25976Blues-Dockheads-
135 - 2026-10-26984Dockheads-Blues-
137 - 2026-10-28995Razorbacks-Blues-
139 - 2026-10-301006Voodoo-Blues-
145 - 2026-11-051034Blues-Razorbacks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets110654030200
Assistance77,34867,95326,89553,11012,897
Attendance PCT92.08%97.08%96.05%94.84%92.12%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
26 17015 - 94.53% 1,752,466$24,534,527$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
17,758,874$ 55,048,973$ 55,048,973$ 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
55,048,973$ 17,211,249$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
45,564,122$ 101 386,388$ 39,025,188$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
41,597,456$ 63,220,335$ 71,633,751$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
57,992,787$ 1,007,213$ 59,000,000$ 31,992,787$



Charte de profondeur

Ailier gaucheCentreAilier droit
Jooel TuomisaloAGE:30PO:33OV:86
Stig Lunde (R)AGE:19PO:64OV:77
Halvor DahlAGE:19PO:65OV:76
Stanislav Budaj (R)AGE:18PO:72OV:75
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
Maddison BilckeAGE:27PO:36OV:76
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 CorrigallAGE:21PO:75OV:76
Forester OCorleyAGE:33PO:13OV:75
Noa Mustajarvi (R)AGE:21PO:68OV:72
Adrian Tillberg (R)AGE:22PO:67OV:71
Dexter Lovatsis (R)AGE:22PO:72OV:70

Défense #1Défense #2Gardien
Curtis GordicAGE:23PO:66OV:82
Kodi LapalmeAGE:32PO:13OV:80
Layton NeveuAGE:37PO:0OV:79
Dominic BurryAGE:28PO:32OV:77
Kory NestorAGE:34PO:5OV: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
11
Choix au repêchage conditionnel



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


Blues Historique de transactions




Korey Maciag est dehors pour 6 jours à cause de Sore Left Knee 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
1Duma Dodrescu41421920842722436563568199610.97%241802919.39323971146011935842.19%101.06840
2Jooel Tuomisalo403160173333-10255834547155810.27%221736818.28182341104000931735.23%70.901032
3Maxym Pansegrau40014017631610133302505129610.80%202765619.14242044763032621746.68%70.83820
4Kalle-Veikko Kekalainen392102193295-2339578555111498.88%152688517.56123244582241191038.59%20.8618
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 Bruha1205242100.9143.00663612033238721926930.76939
3Luis Henrich30121040.9033.3515932089914500010.78919
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
626147003111008515148200211574512126500100434033410017227200383229296734835425816939317310591451022.22%45980.00%130260649.83%30559151.61%19841747.48%563340567217442221
Total Saison régulière42617216601925251914201394262148483010141587046968212888309111011716698184761420234737676136752948077156795099556348733131504050403852924277415820.41%111319382.66%1347511014746.82%51181088947.00%3140660547.54%918155479430372772323520
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