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Connexion

Blues
GP: 52 | W: 27 | L: 20 | OTL: 5 | P: 59
GF: 196 | GA: 172 | PP%: 20.65% | PK%: 83.52%
DG: Joe Larson | Morale : 50 | Moyenne d’équipe : 79
Prochains matchs #687 vs Voodoo

Centre de jeu
Redbull
26-22-4, 56pts
3
2 Blues
27-20-5, 59pts
Team Stats
W2SéquenceL4
14-12-1Fiche domicile14-12-3
12-10-3Fiche visiteur13-8-2
5-4-1Derniers 10 matchs3-6-1
3.06Buts par match 3.77
3.15Buts contre par match 3.31
20.00%Pourcentage en avantage numérique20.65%
75.00%Pourcentage en désavantage numérique83.52%
Blues
27-20-5, 59pts
3
4 Redbull
26-22-4, 56pts
Team Stats
L4SéquenceW2
14-12-3Fiche domicile14-12-1
13-8-2Fiche visiteur12-10-3
3-6-1Derniers 10 matchs5-4-1
3.77Buts par match 3.06
3.31Buts contre par match 3.15
20.65%Pourcentage en avantage numérique20.00%
83.52%Pourcentage en désavantage numérique75.00%
Voodoo
24-24-4, 52pts
2026-09-13
Blues
27-20-5, 59pts
Statistiques d’équipe
W1SéquenceL4
15-11-2Fiche domicile14-12-3
9-13-2Fiche visiteur13-8-2
5-5-010 derniers matchs3-6-1
3.12Buts par match 3.77
3.37Buts contre par match 3.77
21.90%Pourcentage en avantage numérique20.65%
84.75%Pourcentage en désavantage numérique83.52%
Lumberjacks
30-18-4, 64pts
2026-09-14
Blues
27-20-5, 59pts
Statistiques d’équipe
W1SéquenceL4
15-11-0Fiche domicile14-12-3
15-7-4Fiche visiteur13-8-2
6-3-110 derniers matchs3-6-1
3.54Buts par match 3.77
3.40Buts contre par match 3.77
24.27%Pourcentage en avantage numérique20.65%
87.21%Pourcentage en désavantage numérique83.52%
Blues
27-20-5, 59pts
2026-09-16
Twisters
28-21-3, 59pts
Statistiques d’équipe
L4SéquenceL2
14-12-3Fiche domicile16-9-1
13-8-2Fiche visiteur12-12-2
3-6-110 derniers matchs5-4-1
3.77Buts par match 3.50
3.31Buts contre par match 3.50
20.65%Pourcentage en avantage numérique20.72%
83.52%Pourcentage en désavantage numérique79.44%
Meneurs d'équipe
Buts
Duma Dodrescu
33
Passes
Duma Dodrescu
35
Points
Duma Dodrescu
68
Plus/Moins
Dominic Burry
19
Victoires
Bryce Bruha
22
Pourcentage d’arrêts
Bryce Bruha
0.921

Statistiques d’équipe
Buts pour
196
3.77 GFG
Tirs pour
1948
37.46 Avg
Pourcentage en avantage numérique
20.7%
19 GF
Début de zone offensive
38.1%
Buts contre
172
3.31 GAA
Tirs contre
1904
36.62 Avg
Pourcentage en désavantage numérique
83.5%%
15 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
Assistance16,999
Billets de saison7,200


Informations de la formation

Équipe Pro22
Équipe Mineure30
Limite Contrat52 / 55
Espoirs9


Plafond salarial

Cap Salarial de la Saison estimé54,671,286$
Plafond salarial disponible4,328,714$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour50,862,927$
Dépenses annuelles à ce jour33,964,984$
Revenus de la saison estimés19,292,834$
Dépenses de la saison estimées20,841,423$
Compte bancaire actuel74,644,037$
Compte bancaire projeté73,917,340$


Historique d'équipe

Saison actuelle27-20-5 (59PTS)
Historique228-179-40 (0.510%)
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$
3John-Michael Mcdonough0X99.0090555289998483769570669934706258508202443,100,000$
4Daniel Weber55X100.00453585659586866685799193704384535081X02522,800,000$
5Tod Benedict0X100.0079499260987197798886497764587862507902352,400,000$
6Andrei Flatley (A)51X100.0052465898909664817490566366579746507802821,646,873$
7Vintila Dragan19X100.0046536782879783769859787041376713507703311,600,000$
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 Neveu4X100.005567819890768972258368579745440507903711,500,000$
15Kory Nestor0X100.009645608154939771257237959165505507703422,783,000$
16Dominic Burry64X100.0073556998977288762572585780428332507702832,290,000$
17Arvi-Antti Ahokari2X100.0087529372927881732578416444419817507603231,500,000$
18Blair Kuntz78X100.007268969296778756256576495184460507603722,300,000$
Rayé
1Maxym Pansegrau (A)39X93.2844498169998462848299928284648722508203113,000,000$
2Kodi Lapalme28X68.2189699287986652942579837094795913508003233,550,000$
MOYENNE D’ÉQUIPE98.02735476828983798060767075656269385079
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 Bruha095.006576848596759685559168554954508102444,050,100$
2Luis Henrich31100.005583888379739953729498438838507802731,999,000$
Rayé
MOYENNE D’ÉQUIPE97.5060808684887498696493834969465080
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 DodrescuBluesRW5233356811442053602437113413.58%51106320.4554920760000533037.50%725428011.2814220642
2Jooel TuomisaloBluesLW46222547123820121531906312011.58%2386318.774481773000060146.03%633822021.0902022411
3Tod BenedictBluesRW52142943155626915647838.97%1492817.850444730000220053.23%621424000.9300001115
4John-Michael McdonoughBluesC5215243966830142107128317611.72%2998418.941345370003604053.95%12031919000.7903123031
5Layton NeveuBluesD526273316766017518031457.50%51104820.16123868000033010%02731000.6311057032
6Halvor DahlBluesLW52161733171009862116277113.79%2266812.8500001000004050.00%321611010.9900000404
7Curtis GordicBluesD5242731101515758910354413.88%87128924.79077579000482000%02837000.4800201111
8Daniel WeberBluesC5217143110401094118315314.41%3490717.462134740000692249.70%8251021010.6813000321
9Maxym PansegrauBluesC2811203162035685284612.94%1751618.43134237000003047.76%58087001.2012000103
10Stig LundeBluesLW52121729252301095913940818.63%2190117.33123574000013140.91%442623000.6413024132
11Vintila DraganBluesRW52131326152352545102336412.75%1866112.7200003000005051.72%29139000.7900001000
12Kodi LapalmeBluesD30619251512533438729336.90%3868222.763141143011139000%02933000.7300113023
13Dominic BurryBluesD523202319393581556126254.92%42115022.12123170011369000%02232000.4000133002
14Andrei FlatleyBluesC526152128021339036446.67%1154510.4900004101140145.49%2552411000.7700000110
15Kory NestorBluesD5201010-3335111814112200%7992217.74000038000073000%0527000.2200001000
16Andre CorrigallBluesRW525510-700575149254110.20%184959.53000001012700145.45%11717000.4000000110
17Stanislav BudajBluesLW415510-413523106822517.35%33638.8600000000000118.75%16195000.5500001030
18Maddison BilckeBluesC24426-660241037111610.81%62028.4500001000051051.47%6862000.5900000000
19Arvi-Antti AhokariBluesD241452275292519475.26%2249520.660001501105000%0417100.2000001011
20Blair KuntzBluesD50134-300242223784.35%1466713.350000000005000%099000.1200000000
21Romeo RoccaJazz (BLU)LW11022-44018911260%911710.65000000001140014.29%703000.3401000000
22Tavish DuhatschekJazz (BLU)LW4011-100142120%0369.050000000000000%211000.5500000000
23Jeremiah DuninJazz (BLU)D2000000000000%021.480000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne93619433452810251826011371088194863110679.96%6091551316.57193352837662351561825849.98%3269379389150.6851971728232628
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 BruhaBlues40221330.9212.892286201101390675100.692133811531
2Luis HenrichBlues174720.8804.397934058483236100.83361339120
3Magnus PimmJazz (BLU)11000.9352.00600023122000013000
Statistiques d’équipe totales ou en moyenne58272050.9113.25313960170190493320195253651


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$348,980$No---------------------------
Andrei FlatleyBluesC282000-04-16CANNo224 Lbs6 ft7NoNoTrade2025-06-24NoYes22026-05-03FalseFalsePro & Farm1,646,873$1,646,873$638,583$No1,646,873$--------1,646,873$--------No--------
Arvi-Antti AhokariBluesD321996-08-27FINNo209 Lbs6 ft4NoNoAssign ManuallyNoYes32026-05-02FalseFalsePro & Farm1,500,000$1,500,000$581,633$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$891,837$No2,300,000$--------2,300,000$--------No--------
Bryce Bruha (sur la masse salariale)BluesG242004-05-26CANNo182 Lbs5 ft11NoNoAssign ManuallyNoYes42025-10-26FalseFalsePro & Farm4,050,100$4,050,100$1,570,447$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$1,601,429$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$1,085,714$No2,800,000$--------2,800,000$--------No--------
Dominic BurryBluesD282000-08-16CANNo178 Lbs5 ft6NoNoN/ANoYes32026-05-03FalseFalsePro & Farm2,290,000$2,290,000$887,959$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$4,071,429$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$348,980$No900,000$--------900,000$--------No--------
John-Michael McdonoughBluesC242004-10-02CANNo166 Lbs5 ft10NoNoAssign Manually2025-02-08NoYes42025-10-26FalseFalsePro & Farm3,100,000$3,100,000$1,202,041$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$1,395,918$No3,600,000$--------3,600,000$--------No--------
Kodi Lapalme (sur la masse salariale)BluesD321996-12-08CANNo209 Lbs6 ft0NoNoTrade2025-06-24NoYes32025-02-02FalseFalsePro & Farm3,550,000$0$0$Yes3,550,000$3,550,000$-------3,550,000$3,550,000$-------NoNo-------
Kory NestorBluesD341994-06-27CANNo211 Lbs6 ft4NoNoTrade2026-06-12NoYes22025-09-28FalseFalsePro & Farm2,783,000$2,783,000$1,079,122$No2,783,000$--------2,783,000$--------No--------
Layton NeveuBluesD371991-02-18CANNo165 Lbs5 ft7NoNoAssign ManuallyNoYes12026-05-02FalseFalsePro & Farm1,500,000$1,500,000$581,633$No---------------------------
Luis HenrichBluesG272001-06-06GERNo218 Lbs6 ft3NoNoAssign ManuallyNoNo32025-02-01FalseFalsePro & Farm1,999,000$1,999,000$775,122$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$775,510$No1,999,999$1,999,999$-------1,999,999$1,999,999$-------NoNo-------
Maxym Pansegrau (sur la masse salariale)BluesC311997-10-19CANNo177 Lbs5 ft9NoNoN/ANoYes12024-06-05FalseFalsePro & Farm3,000,000$0$0$Yes---------------------------
Stanislav BudajBluesLW182010-08-21SVKYes215 Lbs6 ft1NoNoDraftNoNo32026-05-19FalseFalsePro & Farm1,000,000$1,000,000$387,755$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$387,755$No1,000,000$--------1,000,000$--------No--------
Tod BenedictBluesRW232005-11-25USANo179 Lbs5 ft7NoNoTrade2025-10-06NoNo52026-05-03FalseFalsePro & Farm2,400,000$2,400,000$930,612$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$620,408$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2227.36198 Lbs6 ft12.552,661,317$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
58,548,972$51,548,972$36,519,099$13,680,100$2,400,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jooel TuomisaloJohn-Michael McdonoughDuma Dodrescu35014
2Stig LundeDaniel WeberTod Benedict32014
3Halvor DahlAndrei FlatleyVintila Dragan23023
4Stanislav BudajMaddison BilckeAndre Corrigall10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Curtis GordicArvi-Antti Ahokari40032
2Layton NeveuDominic Burry37032
3Kory NestorBlair Kuntz23032
4Curtis GordicLayton Neveu0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Stig LundeJohn-Michael McdonoughDuma Dodrescu50005
2Jooel TuomisaloDaniel WeberTod Benedict50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Curtis GordicKory Nestor50014
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
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
Jooel TuomisaloDaniel 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 McdonoughAndrei Flatley, Daniel WeberTod Benedict
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, Daniel Weber
Gardien
#1 : Bryce Bruha, #2 : Luis Henrich
Lignes d’attaque personnalisées en prolongation
Daniel Weber, Duma Dodrescu, Andre Corrigall, John-Michael Mcdonough, Jooel Tuomisalo, Tod Benedict, Stig Lunde, Vintila Dragan, Halvor Dahl, Stanislav Budaj
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%0619123850.00%609118851.26%40682149.45%623869254823
2Blizzard3210000013672200000010281010000034-140.66713233600715012152294001153341688337.50%30100.00%0619123850.00%609118851.26%40682149.45%674262244925
3Chaos211000005501010000024-21100000031220.5005813000500651929170591828554125.00%40100.00%0619123850.00%609118851.26%40682149.45%412343193517
4Dockheads52200001161603120000089-12100000187150.500162844003760189755755718469591213133.33%7442.86%0619123850.00%609118851.26%40682149.45%10867113398341
5Dynasty21000100981210001009810000000000030.75091524005220652520200871819436233.33%20100.00%0619123850.00%609118851.26%40682149.45%442744163216
6Harfang10000010321000000000001000001032121.000336002003381316864010231000%10100.00%0619123850.00%609118851.26%40682149.45%2416228178
7Knights1010000039-61010000039-60000000000000.0003690021004015169039121725000%10100.00%0619123850.00%609118851.26%40682149.45%2112218178
8Lumberjacks211000001011-11010000037-41100000074320.500101525004240723021210833218384125.00%4175.00%0619123850.00%609118851.26%40682149.45%422745173115
9Maulers1000010045-11000010045-10000000000010.5004610003010381515713912917200.00%2150.00%0619123850.00%609118851.26%40682149.45%2213228168
10Mighty Moose1010000056-11010000056-10000000000000.0005813002210371711903512224300.00%10100.00%0619123850.00%609118851.26%40682149.45%2112208188
11Militia2020000046-21010000012-11010000034-100.0004711000310612122180631818367114.29%40100.00%0619123850.00%609118851.26%40682149.45%442641163317
12Muertos31200000914-51100000032120200000612-620.3339142300333011138492401103940572150.00%5180.00%0619123850.00%609118851.26%40682149.45%613769244923
13North Stars1010000046-21010000046-20000000000000.000471100121042101913041131018000%5260.00%0619123850.00%609118851.26%40682149.45%1912268146
14Orcas1000010034-1000000000001000010034-110.5003690001204012131322712428300.00%2150.00%0619123850.00%609118851.26%40682149.45%2415178189
15Privateers220000001046110000004131100000063341.00010182800523071202526075211643300.00%3166.67%0619123850.00%609118851.26%40682149.45%412444173417
16Razorbacks403000011120-92010000169-320200000511-610.12511193000434014745594241525033777114.29%9188.89%0619123850.00%609118851.26%40682149.45%824991357033
17Red Tails211000006421010000012-11100000052320.5006111700411085402619070231537600.00%50100.00%0619123850.00%609118851.26%40682149.45%442842173216
18Redbull2020000057-21010000023-11010000034-100.000571200212074242822076281140200.00%30100.00%0619123850.00%609118851.26%40682149.45%402548153015
19Royals11000000532000000000001100000053221.000591400221040171013036112244250.00%10100.00%0619123850.00%609118851.26%40682149.45%1810248178
20Stingrays22000000945110000003121100000063341.00091625005220683121160752628344250.00%40100.00%1619123850.00%609118851.26%40682149.45%412444173316
21Stormbreakers220000001028110000004131100000061541.000101929002530783132150762733536233.33%40100.00%0619123850.00%609118851.26%40682149.45%452742163116
22Trident10000010321100000103210000000000021.0003470010123817126928131918100.00%2150.00%0619123850.00%609118851.26%40682149.45%2213238189
23Twisters1010000057-21010000057-20000000000000.00059140031104113131504111221200.00%10100.00%0619123850.00%609118851.26%40682149.45%2012227168
24Voltage22000000835110000005231100000031241.0008152300161082313021066174255400.00%60100.00%0619123850.00%609118851.26%40682149.45%442742173215
25Voodoo55000000261115330000001881022000000835101.000264369008990199637759016860431107228.57%9188.89%1619123850.00%609118851.26%40682149.45%11068106418241
Total52242001322196172242913120021110999102311801111877314590.56719633453000706558619487056965363019046095241137921920.65%911583.52%2619123850.00%609118851.26%40682149.45%11216851153438868431
_Since Last GM Reset52242001322196172242913120021110999102311801111877314590.56719633453000706558619487056965363019046095241137921920.65%911583.52%2619123850.00%609118851.26%40682149.45%11216851153438868431
_Vs Conference3317110120213010921181150010177581915660110153512400.6061302243540041444411251446446353141228392347735561323.21%551081.82%1619123850.00%609118851.26%40682149.45%716440727276548272
_Vs Division1475000025347684300001322666320000121210160.57153901430015191905351831931561150417913530817423.53%25676.00%1619123850.00%609118851.26%40682149.45%301185311117236116

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5259L419633453019481904609524113700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5224201322196172
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
291312021110999
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2311811118773
Derniers 10 matchs
WLOTWOTL SOWSOL
360001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
921920.65%911583.52%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
705696536307065586
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
619123850.00%609118851.26%40682149.45%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11216851153438868431


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 - 2026-09-13687Voodoo-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
Assistance161,469138,39755,461110,74726,890
Attendance PCT92.80%95.45%95.62%95.47%92.72%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
11 16999 - 94.44% 1,753,894$50,862,927$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
33,964,984$ 51,998,972$ 51,998,972$ 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
51,998,972$ 32,893,575$ 0$ 20 2

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
19,292,834$ 57 365,639$ 20,841,423$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
22,187,820$ 74,644,037$ 73,917,340$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
54,671,286$ 4,328,714$ 59,000,000$ 28,671,286$



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
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 1 jours à cause de Exhaustion.
Kodi Lapalme est dehors pour 1 mois à cause de Right Hand Injury.
Daxton Wentworth est dehors pour 2 jours à cause de Strained Left Knee Injury.
Maxym Pansegrau est dehors pour 2 jours à cause de Strained Right Elbow 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 Dodrescu44023123146225451583599212310.88%266856219.46334376151011936842.11%101.08942
2Jooel Tuomisalo429176189365-5286894583166710.56%238785618.31202545109000931736.06%90.931034
3Maxym Pansegrau4021411783199133303511130110.84%203769319.14252146773032622746.63%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 Bruha1396150110.9153.027736120389455422701030.75549
3Luis Henrich38141540.9013.482001601161166624110.78919
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
6522420013221961722429131200211109991023118011118773145919633453000706558619487056965363019046095241137921920.65%911583.52%2619123850.00%609118851.26%40682149.45%11216851153438868431
Total Saison régulière452182179020252620151614813522989930101415875675062239386010111112760731295011516250940256139956250981166605456590551513271600553324066978882116720.34%115919982.83%1450681077947.02%54221148647.21%3348700947.77%9739589110016394776583730
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