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Connexion

Blues
GP: 73 | W: 36 | L: 29 | OTL: 8 | P: 80
GF: 260 | GA: 234 | PP%: 19.23% | PK%: 82.68%
DG: Joe Larson | Morale : 50 | Moyenne d’équipe : 79
Prochains matchs #952 vs Trident

Centre de jeu
Orcas
37-28-8, 82pts
4
2 Blues
36-29-8, 80pts
Team Stats
W1SéquenceL2
20-14-3Fiche domicile18-14-4
17-14-5Fiche visiteur18-15-4
5-4-1Derniers 10 matchs4-5-1
3.19Buts par match 3.56
3.16Buts contre par match 3.21
18.11%Pourcentage en avantage numérique19.23%
84.49%Pourcentage en désavantage numérique82.68%
Blues
36-29-8, 80pts
2
4 Voltage
42-26-4, 88pts
Team Stats
L2SéquenceW1
18-14-4Fiche domicile20-12-2
18-15-4Fiche visiteur22-14-2
4-5-1Derniers 10 matchs6-3-1
3.56Buts par match 3.32
3.21Buts contre par match 3.19
19.23%Pourcentage en avantage numérique13.38%
82.68%Pourcentage en désavantage numérique83.03%
Blues
36-29-8, 80pts
2026-10-22
Trident
34-32-8, 76pts
Statistiques d’équipe
L2SéquenceW3
18-14-4Fiche domicile19-14-4
18-15-4Fiche visiteur15-18-4
4-5-110 derniers matchs5-4-1
3.56Buts par match 3.11
3.21Buts contre par match 3.11
19.23%Pourcentage en avantage numérique16.54%
82.68%Pourcentage en désavantage numérique86.78%
Stormbreakers
27-43-3, 57pts
2026-10-23
Blues
36-29-8, 80pts
Statistiques d’équipe
W2SéquenceL2
15-22-1Fiche domicile18-14-4
12-21-2Fiche visiteur18-15-4
4-5-110 derniers matchs4-5-1
2.88Buts par match 3.56
3.59Buts contre par match 3.56
17.47%Pourcentage en avantage numérique19.23%
81.92%Pourcentage en désavantage numérique82.68%
Blues
36-29-8, 80pts
2026-10-25
Dockheads
38-27-7, 83pts
Statistiques d’équipe
L2SéquenceW1
18-14-4Fiche domicile18-13-4
18-15-4Fiche visiteur20-14-3
4-5-110 derniers matchs5-4-1
3.56Buts par match 3.35
3.21Buts contre par match 3.35
19.23%Pourcentage en avantage numérique17.20%
82.68%Pourcentage en désavantage numérique82.00%
Meneurs d'équipe
Buts
Duma Dodrescu
37
Passes
Duma Dodrescu
48
Points
Duma Dodrescu
85
Plus/Moins
Dominic Burry
26
Victoires
Bryce Bruha
27
Pourcentage d’arrêts
Bryce Bruha
0.923

Statistiques d’équipe
Buts pour
260
3.56 GFG
Tirs pour
2678
36.68 Avg
Pourcentage en avantage numérique
19.2%
25 GF
Début de zone offensive
38.2%
Buts contre
234
3.21 GAA
Tirs contre
2639
36.15 Avg
Pourcentage en désavantage numérique
82.7%%
22 GA
Début de la zone défensive
36.7%
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
Assistance16,954
Billets de saison7,200


Informations de la formation

Équipe Pro22
Équipe Mineure31
Limite Contrat53 / 55
Espoirs9


Plafond salarial

Cap Salarial de la Saison estimé61,471,686$
Plafond salarial disponible-2,471,686$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial22


Finance

Revenu annuel à ce jour63,027,919$
Dépenses annuelles à ce jour49,152,055$
Revenus de la saison estimés7,003,102$
Dépenses de la saison estimées7,383,546$
Compte bancaire actuel71,611,770$
Compte bancaire projeté71,443,689$


Historique d'équipe

Saison actuelle36-29-8 (80PTS)
Historique237-188-41 (0.509%)
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)39X100.0044498169998462848299928284648722508203143,000,000$
4John-Michael Mcdonough0X100.0090555289998483769570669934706258508202443,100,000$
5Daniel Weber55X100.00453585659586866685799193704384535081X02522,800,000$
6Tod Benedict0X100.0079499260987197798886497764587862507902352,400,000$
7Vintila Dragan19X100.0046536782879783769859787041376713507703331,600,000$
8Stig Lunde (R)0X100.0082747377908873778954877484688364507701921,000,000$
9Maddison Bilcke0X100.0074646975557976748690985589823736507602731,999,999$
10Andre Corrigall0X100.008635925788675893468952992949537550760211900,000$
11Halvor Dahl0X100.008236677683807367758069807079776550760192900,000$
12Stanislav Budaj (R)0X100.0067646783857484928455835465737672507501831,000,000$
13Curtis Gordic17X100.0084558990899190962566498251985566508202344,130,000$
14Layton Neveu4X100.005567819890768972258368579745440507903721,500,000$
15Kory Nestor0X100.009645608154939771257237959165505507703422,783,000$
16Dominic Burry64X100.0073556998977288762572585780428332507702832,290,000$
17Arvi-Antti Ahokari2X100.0087529372927881732578416444419817507603231,500,000$
18Blair Kuntz78X100.007268969296778756256576495184460507603722,300,000$
Rayé
1Andrei Flatley (A)51X100.0052465898909664817490566366579746507802821,646,873$
2Kodi Lapalme28X100.0089699287986652942579837094795913508003233,550,000$
MOYENNE D’ÉQUIPE100.00735476828983798060767075656269385079
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 Henrich3199.005583888379739953729498438838507802731,999,000$
Rayé
MOYENNE D’ÉQUIPE99.5060808684887498696493834969465080
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 DodrescuBluesRW7337488511823076963309319511.21%60148320.325510251060000674040.78%1037934011.1527231652
2Jooel TuomisaloBluesLW67323264125125165812869118411.19%33127219.00841229106000090344.57%925833021.0105032531
3Tod BenedictBluesRW73193958412108399208591119.13%24129217.7106661030001291048.81%841731000.9000011227
4John-Michael McdonoughBluesC732032523114401971481876010810.70%48136918.761458670003734154.51%16183327000.7606125132
5Curtis GordicBluesD73636426222010513115375673.92%130179824.64189121120005112000%03964000.4700211111
6Daniel WeberBluesC73222042164013138145386615.17%44123116.872244880000963248.26%11191527010.6813000422
7Halvor DahlBluesLW731923422014013782148429912.84%3293812.86000070000124146.15%392017010.8900000405
8Maxym PansegrauBluesC4717244171210780127446713.39%2377416.48145355000003048.29%8491113001.0612110113
9Layton NeveuBluesD7363238148670247210449585.77%73153120.98134999000062010%04137000.5022077032
10Dominic BurryBluesD7343034264840115788942394.49%61162322.252243100011397000%02648000.4200134002
11Stig LundeBluesLW66132134382401337615951968.18%26112517.06134691000014139.29%563727000.6025125142
12Vintila DraganBluesRW73141731152810346614645939.59%2694012.8800006000005045.00%401813000.6600011000
13Kodi LapalmeBluesD30619251512533438729336.90%3868222.763141143011139000%02933000.7300113023
14Andrei FlatleyBluesC6681725-280284711551706.96%1572611.0100005101160143.34%3532712000.6900000110
15Andre CorrigallBluesRW7311920-800797379395813.92%237119.74000191015981153.85%131226010.5600000310
16Stanislav BudajBluesLW5713619-31554318118387911.02%95699.9900003000002232.14%28297000.6711001141
17Maddison BilckeBluesC4471017-8115461861152711.48%114169.46000020000201047.45%137134000.8200001002
18Kory NestorBluesD7301414642101581185520270%118131217.970110710000101000%0748000.2100002000
19Arvi-Antti AhokariBluesD45167-132106647378202.70%4189419.8800019011011000%0722100.1600011011
20Blair KuntzBluesD71167-1002931317153.23%2194713.340000000006000%01511000.1500000000
21Romeo RoccaJazz (BLU)LW11022-44018911260%911710.65000000001140014.29%703000.3401000000
22Tavish DuhatschekJazz (BLU)LW4011-100142120%0369.050000000000000%211000.5500000000
23Jeremiah DuninJazz (BLU)D3000000000000%020.980000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne131425644470011671835015901555267889915209.56%8652180016.59254368118109523520863321349.54%4540534538160.6493292635303336
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 BruhaBlues49271730.9232.822830401331719846100.706174722571
2Luis HenrichBlues2981250.8923.7815224096889446100.800152548230
3Magnus PimmJazz (BLU)11000.9352.00600023122000013000
Statistiques d’équipe totales ou en moyenne79362980.9123.1444138023126391314203273737101


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$110,204$No---------------------------
Andrei FlatleyBluesC282000-04-16CANNo224 Lbs6 ft7NoNoTrade2025-06-24NoYes22026-05-03FalseFalsePro & Farm1,646,873$1,646,873$201,658$No1,646,873$--------1,646,873$--------No--------
Arvi-Antti AhokariBluesD321996-08-27FINNo209 Lbs6 ft4NoNoAssign ManuallyNoYes32026-05-02FalseFalsePro & Farm1,500,000$1,500,000$183,673$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Blair KuntzBluesD371991-02-07CANNo190 Lbs5 ft11NoNoFree AgentNoYes22026-05-03FalseFalsePro & Farm2,300,000$2,300,000$281,633$No2,300,000$--------2,300,000$--------No--------
Bryce BruhaBluesG242004-05-26CANNo182 Lbs5 ft11NoNoAssign ManuallyNoYes42025-10-26FalseFalsePro & Farm4,050,100$4,050,100$495,931$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$505,714$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$342,857$No2,800,000$--------2,800,000$--------No--------
Dominic BurryBluesD282000-08-16CANNo178 Lbs5 ft6NoNoN/ANoYes32026-05-03FalseFalsePro & Farm2,290,000$2,290,000$280,408$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$1,285,714$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$110,204$No900,000$--------900,000$--------No--------
John-Michael McdonoughBluesC242004-10-02CANNo166 Lbs5 ft10NoNoAssign Manually2025-02-08NoYes42025-10-26FalseFalsePro & Farm3,100,000$3,100,000$379,592$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$440,816$No3,600,000$--------3,600,000$--------No--------
Kodi LapalmeBluesD321996-12-08CANNo209 Lbs6 ft0NoNoTrade2025-06-24NoYes32025-02-02FalseFalsePro & Farm3,550,000$3,550,000$434,694$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$340,776$No2,783,000$--------2,783,000$--------No--------
Layton NeveuBluesD371991-02-18CANNo165 Lbs5 ft7NoNoAssign ManuallyNoYes22026-10-19FalseFalsePro & Farm1,500,000$1,500,000$183,673$No2,900,000$--------2,900,000$--------No--------
Luis HenrichBluesG272001-06-06GERNo218 Lbs6 ft3NoNoAssign ManuallyNoYes32025-02-01FalseFalsePro & Farm1,999,000$1,999,000$244,776$No1,999,000$1,999,000$-------1,999,000$1,999,000$-------NoNo-------
Maddison BilckeBluesC272001-09-06CANNo186 Lbs5 ft10NoNoAssign Manually2025-06-27NoYes32025-10-26FalseFalsePro & Farm1,999,999$1,999,999$244,898$No1,999,999$1,999,999$-------1,999,999$1,999,999$-------NoNo-------
Maxym PansegrauBluesC311997-10-19CANNo177 Lbs5 ft9NoNoN/ANoYes42026-10-19FalseFalsePro & Farm3,000,000$3,000,000$367,347$No4,700,000$4,700,000$4,700,000$------4,700,000$4,700,000$4,700,000$------NoNoNo------
Stanislav BudajBluesLW182010-08-21SVKYes215 Lbs6 ft1NoNoDraftNoNo32026-05-19FalseFalsePro & Farm1,000,000$1,000,000$122,449$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$122,449$No1,000,000$--------1,000,000$--------No--------
Tod BenedictBluesRW232005-11-25USANo179 Lbs5 ft7NoNoTrade2025-10-06NoNo52026-05-03FalseFalsePro & Farm2,400,000$2,400,000$293,878$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 ManuallyNoYes32026-10-19FalseFalsePro & Farm1,600,000$1,600,000$195,918$No2,862,000$2,862,000$-------2,862,000$2,862,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2227.36198 Lbs6 ft12.822,661,317$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
58,548,972$62,010,972$44,081,099$18,380,100$2,400,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jooel TuomisaloMaxym PansegrauDuma Dodrescu35014
2Stig LundeJohn-Michael McdonoughTod Benedict32014
3Stanislav BudajMaddison BilckeVintila Dragan23014
4Halvor DahlDaniel WeberAndre Corrigall10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Curtis GordicLayton Neveu40032
2Dominic BurryKory Nestor37032
3Arvi-Antti AhokariBlair Kuntz23032
4Curtis GordicLayton Neveu0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jooel TuomisaloMaxym PansegrauDuma Dodrescu50005
2Stig LundeJohn-Michael McdonoughTod Benedict50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Curtis GordicKory Nestor50014
2Layton NeveuDominic Burry50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Daniel WeberHalvor Dahl50041
2Maddison BilckeAndre Corrigall50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Curtis GordicKory Nestor50041
2Layton NeveuDominic Burry50041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1John-Michael Mcdonough50050Curtis GordicKory Nestor50050
2Daniel Weber50050Layton NeveuDominic Burry50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Daniel WeberAndre Corrigall50014
2John-Michael McdonoughDuma Dodrescu50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Curtis GordicKory Nestor50122
2Layton NeveuDominic Burry50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Stig LundeMaxym PansegrauDuma DodrescuCurtis GordicKory Nestor
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jooel TuomisaloDaniel WeberDuma DodrescuKory NestorCurtis Gordic
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Duma Dodrescu, Jooel Tuomisalo, Maxym PansegrauStig Lunde, Stanislav BudajHalvor Dahl
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Curtis Gordic, Dominic Burry, Layton NeveuDominic BurryKory Nestor, Curtis Gordic
Tirs de pénalité
Duma Dodrescu, John-Michael Mcdonough, Jooel Tuomisalo, Stig Lunde, Stanislav Budaj
Gardien
#1 : Luis Henrich, #2 : Bryce Bruha
Lignes d’attaque personnalisées en prolongation
Maxym Pansegrau, Stig Lunde, Duma Dodrescu, John-Michael Mcdonough, Jooel Tuomisalo, Tod Benedict, Maddison Bilcke, Stanislav Budaj, Halvor Dahl, Vintila Dragan
Lignes de défense personnalisées en prolongation
Curtis Gordic, Arvi-Antti Ahokari, 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
1Bandits311010001073110000006332010100044040.6671018280014411063146281119241364400.00%3166.67%0859172049.94%840165450.79%550113148.63%623869254823
2Blizzard3210000013672200000010281010000034-140.66713233600715012152294001153341688337.50%30100.00%0859172049.94%840165450.79%550113148.63%674262244925
3Chaos211000005501010000024-21100000031220.5005813000500651929170591828554125.00%40100.00%0859172049.94%840165450.79%550113148.63%412343193517
4Dockheads722001022123-2412000011012-2310001011111070.50021385900588027197858512249101771613133.33%11463.64%0859172049.94%840165450.79%550113148.63%153951585711858
5Dynasty3100020011110210001009811000010023-140.6671119300053309432313011213021698225.00%30100.00%0859172049.94%840165450.79%550113148.63%643867254924
6Harfang21000010743110000004221000001032141.0007111800222375192926681226553133.33%30100.00%0859172049.94%840165450.79%550113148.63%462944163416
7Knights20200000412-81010000039-61010000013-200.000471100220071243017073172351100.00%4175.00%0859172049.94%840165450.79%550113148.63%412343173417
8Lumberjacks32100000131302110000069-31100000074340.6671319320043609838263401204122666116.67%6183.33%0859172049.94%840165450.79%550113148.63%613769264923
9Maulers2010010079-21000010045-11010000034-110.2507111800403073243117178213831400.00%4325.00%0859172049.94%840165450.79%550113148.63%422644163316
10Mighty Moose2110000010731010000056-11100000051420.500101626004510812828250622511465120.00%30100.00%0859172049.94%840165450.79%550113148.63%442739163517
11Militia2020000046-21010000012-11010000034-100.0004711000310612122180631818367114.29%40100.00%0859172049.94%840165450.79%550113148.63%442641163317
12Muertos31200000914-51100000032120200000612-620.3339142300333011138492401103940572150.00%5180.00%0859172049.94%840165450.79%550113148.63%613769244923
13North Stars20200000711-41010000046-21010000035-200.0007132000241085273721077251039100.00%5260.00%0859172049.94%840165450.79%550113148.63%402547173114
14Orcas3110010010911010000024-22100010085330.5001020300016301093542302984039699111.11%7271.43%0859172049.94%840165450.79%550113148.63%653963265225
15Privateers220000001046110000004131100000063341.00010182800523071202526075211643300.00%3166.67%0859172049.94%840165450.79%550113148.63%412444173417
16Razorbacks724000012025-53110000110100413000001015-550.357203555009560233858661426094411388112.50%13192.31%0859172049.94%840165450.79%550113148.63%142851616212156
17Red Tails211000006421010000012-11100000052320.5006111700411085402619070231537600.00%50100.00%0859172049.94%840165450.79%550113148.63%442842173216
18Redbull2020000057-21010000023-11010000034-100.000571200212074242822076281140200.00%30100.00%0859172049.94%840165450.79%550113148.63%402548153015
19Royals211000009811010000045-11100000053220.50091524003330783618240752094710440.00%20100.00%0859172049.94%840165450.79%550113148.63%432543163317
20Stingrays22000000945110000003121100000063341.00091625005220683121160752628344250.00%40100.00%1859172049.94%840165450.79%550113148.63%412444173316
21Stormbreakers3300000014591100000041322000000104661.00014274100266011843472801164542729333.33%6183.33%0859172049.94%840165450.79%550113148.63%664067244624
22Trident10000010321100000103210000000000021.0003470010123817126928131918100.00%2150.00%0859172049.94%840165450.79%550113148.63%2213238189
23Twisters2020000069-31010000057-21010000012-100.0006111700312070251728065212645300.00%3166.67%0859172049.94%840165450.79%550113148.63%402344163517
24Voltage321000001073110000005232110000055040.6671017270016301093641320972669771000.00%70100.00%0859172049.94%840165450.79%550113148.63%673963264924
25Voodoo85100020372215430000102211114210001015114140.875375996001013124313102111961427794631729222.22%14285.71%1859172049.94%840165450.79%550113148.63%1761081776913667
Total733129015432602342636161400222132119133715150132112811513800.5482604447040085898110267894494677050263986572615901302519.23%1272282.68%2859172049.94%840165450.79%550113148.63%156595116266251228604
_Since Last GM Reset733129015432602342636161400222132119133715150132112811513800.5482604447040085898110267894494677050263986572615901302519.23%1272282.68%2859172049.94%840165450.79%550113148.63%156595116266251228604
_Vs Conference48221601423174151232313600112927121259100131182802570.59417430047400515961517536146105163417475884941058791518.99%811482.72%1859172049.94%840165450.79%550113148.63%10286261073411807395
_Vs Division22970012378708115300012423391144001113637-1260.591781322100024262648172842822423078628918147120420.00%38781.58%1859172049.94%840165450.79%550113148.63%472289497189375182

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7380L226044470426782639865726159000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7331291543260234
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3616140222132119
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3715151321128115
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1302519.23%1272282.68%2
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
9449467705085898110
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
859172049.94%840165450.79%550113148.63%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
156595116266251228604


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 - 2026-07-30351Dockheads4Blues3LSommaire du match
48 - 2026-07-31354Blues6Stingrays3WSommaire du match
50 - 2026-08-02375Twisters7Blues5LSommaire du match
52 - 2026-08-04390Blues3Bandits2WXSommaire du match
54 - 2026-08-06402Dynasty4Blues6WSommaire du match
55 - 2026-08-07404Blues4Voodoo2WSommaire du match
57 - 2026-08-09429Blizzard1Blues3WSommaire du match
58 - 2026-08-10435Mighty Moose6Blues5LSommaire du match
60 - 2026-08-12447Blues3Militia4LSommaire du match
62 - 2026-08-14467Voltage2Blues5WSommaire du match
64 - 2026-08-16477Blues3Harfang2WXXSommaire du match
66 - 2026-08-18493Blues7Lumberjacks4WSommaire du match
67 - 2026-08-19495Blues3Voltage1WSommaire du match
69 - 2026-08-21519Razorbacks6Blues4LSommaire du match
71 - 2026-08-23532Dockheads3Blues2LSommaire du match
72 - 2026-08-24540North Stars6Blues4LSommaire du match
74 - 2026-08-26552Chaos4Blues2LSommaire du match
76 - 2026-08-28572Blues3Blizzard4LSommaire du match
78 - 2026-08-30584Muertos2Blues3WSommaire du match
80 - 2026-09-01593Blues5Red Tails2WSommaire du match
81 - 2026-09-02604Voodoo2Blues6WSommaire du match
83 - 2026-09-04622Blues4Dockheads5LXXSommaire du match
85 - 2026-09-06634Militia2Blues1LSommaire du match
86 - 2026-09-07643Red Tails2Blues1LSommaire du match
89 - 2026-09-10661Redbull3Blues2LSommaire du match
90 - 2026-09-11668Blues3Redbull4LSommaire du match
92 - 2026-09-13687Voodoo3Blues4WXXSommaire du match
93 - 2026-09-14692Lumberjacks2Blues3WSommaire du match
95 - 2026-09-16702Blues1Twisters2LSommaire du match
97 - 2026-09-18724Dockheads3Blues2LXXSommaire du match
99 - 2026-09-20727Blues4Stormbreakers3WSommaire du match
100 - 2026-09-21741Blues4Razorbacks2WSommaire du match
103 - 2026-09-24760Blues1Razorbacks2LSommaire du match
104 - 2026-09-25774Razorbacks1Blues4WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
106 - 2026-09-27785Blues1Knights3LSommaire du match
107 - 2026-09-28789Blues2Voodoo4LSommaire du match
109 - 2026-09-30806Blues2Dynasty3LXSommaire du match
111 - 2026-10-02826Royals5Blues4LSommaire du match
113 - 2026-10-04834Blues3Maulers4LSommaire du match
114 - 2026-10-05844Harfang2Blues4WSommaire du match
117 - 2026-10-08859Blues5Voodoo4WXXSommaire du match
118 - 2026-10-09874Blues3Dockheads4LXSommaire du match
120 - 2026-10-11880Blues3North Stars5LSommaire du match
124 - 2026-10-15909Blues5Mighty Moose1WSommaire du match
125 - 2026-10-16916Blues5Orcas1WSommaire du match
127 - 2026-10-18934Orcas4Blues2LSommaire du match
128 - 2026-10-19935Blues2Voltage4LSommaire du match
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
Assistance200,769170,40668,612137,24333,323
Attendance PCT92.95%94.67%95.29%95.31%92.56%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
4 16954 - 94.19% 1,750,776$63,027,919$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
49,152,055$ 58,548,972$ 58,548,972$ 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
58,548,972$ 47,616,360$ 0$ 22 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
7,003,102$ 18 410,197$ 7,383,546$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
7,839,396$ 71,611,770$ 71,443,689$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
61,471,686$ -2,471,686$ 59,000,000$ 35,471,686$



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

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
Magnus PimmAGE:31PO:26OV:78
Giovanni Cremen (R)AGE:22PO:69OV:75
Oszkar KardosAGE:31PO:26OV:70
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



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Blues Historique de transactions




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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 Dodrescu46123524447925489606635221010.63%275898219.48334477156011937842.36%101.071045
2Jooel Tuomisalo450186196382-5299938611176310.55%248826618.37242549121000931936.30%90.921037
3Maxym Pansegrau42114718232910143307535134310.95%209795218.89252247783032622747.16%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 Bruha1486654110.9162.998280140412488324411030.75553
3Luis Henrich50182070.9023.392730601541572834110.78628
4Ignat Omelichev2491220.8784.4211964088723421200.8336
5Magnus Pimm11000.9352.006000231220000

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
6733129015432602342636161400222132119133715150132112811513802604447040085898110267894494677050263986572615901302519.23%1272282.68%2859172049.94%840165450.79%550113148.63%156595116266251228604
Total Saison régulière4731891880202728211580154337236929501014169779770923797930101312128017732852215802619419961414586532851739056956155538534716740558842681024185917320.14%119520682.76%1453081126147.14%56531195247.30%3492731947.71%10183615810489413480183903
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