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Blues
GP: 80 | W: 43 | L: 30 | OTL: 7 | P: 93
GF: 264 | GA: 247 | PP%: 23.18% | PK%: 83.41%
DG: Nick Gutekunst | Morale : 50 | Moyenne d’équipe : 79

Centre de jeu
Blues
43-30-7, 93pts
4
2 Trident
42-29-9, 93pts
Team Stats
W2SéquenceL2
21-14-5Fiche domicile20-17-3
22-16-2Fiche visiteur22-12-6
6-4-0Derniers 10 matchs3-4-3
3.30Buts par match 3.34
3.09Buts contre par match 3.16
23.18%Pourcentage en avantage numérique14.74%
83.41%Pourcentage en désavantage numérique86.55%
Royals
45-30-5, 95pts
1
2 Blues
43-30-7, 93pts
Team Stats
SOL1SéquenceW2
23-15-2Fiche domicile21-14-5
22-15-3Fiche visiteur22-16-2
5-3-2Derniers 10 matchs6-4-0
3.68Buts par match 3.30
3.43Buts contre par match 3.09
18.44%Pourcentage en avantage numérique23.18%
85.92%Pourcentage en désavantage numérique83.41%
Meneurs d'équipe
Buts
Maxym Pansegrau
40
Passes
Duma Dodrescu
47
Points
Duma Dodrescu
83
Plus/Moins
John-Michael Mcdonough
30
Victoires
Sampa Paunonen
32
Pourcentage d’arrêts
Sampa Paunonen
0.915

Statistiques d’équipe
Buts pour
264
3.30 GFG
Tirs pour
2893
36.16 Avg
Pourcentage en avantage numérique
23.2%
35 GF
Début de zone offensive
35.8%
Buts contre
247
3.09 GAA
Tirs contre
2813
35.16 Avg
Pourcentage en désavantage numérique
83.4%%
34 GA
Début de la zone défensive
40.3%
Informations de l'équipe

Directeur généralNick Gutekunst
EntraîneurJohn Mayor
DivisionSouth East
ConférenceSouthern Conference
Capitaine
Assistant #1Jooel Tuomisalo
Assistant #2


Informations de l’aréna

NomHard Rock Place
Capacité18,000
Assistance16,916
Billets de saison7,200


Informations de la formation

Équipe Pro26
Équipe Mineure27
Limite contact 53 / 55
Espoirs8


Plafond salarial

Cap Salarial de la Saison estimé54,830,308$
Plafond salarial disponible4,169,692$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial25


Finance

Revenu annuel à ce jour70,341,646$
Dépenses annuelles à ce jour52,053,601$
Revenus de la saison estimés0$
Dépenses de la saison estimées361,948$
Compte bancaire actuel70,309,874$
Compte bancaire projeté69,897,602$


Historique d'équipe

Saison actuelle43-30-7 (93PTS)
Historique201-159-37 (0.506%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)6 - 11 (0.353%)
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
1Maxym Pansegrau39X100.0045498268998361838299918284648726508203023,000,000$
2Kalle-Veikko Kekalainen68X100.008860659171938992579553584860554507903412,400,000$
3Julien Ghantous0X100.0043537756819795747892499754666134507902811,008,000$
4Tod Benedict0X100.007949926199699579888648776458786750790221900,000$
5Vintila Dragan19X100.0047536783899782779860797241376719507803221,600,000$
6Andrei Flatley51X100.0051465997899664827590576366579750507802711,232,000$
7Stig Lunde (R)0X100.0081747476898772778953886984688368507601831,000,000$
8Halvor Dahl (R)0X100.008136677484797267758070807079776950760183900,000$
9Dominik Hajas (R)0X100.007565439476918454657082828678697250760203900,000$
10Romeo Rocca22X100.0084667886716167705254949840683525507403012,017,258$
11Hampus Ollilainen46X100.003459627766986292595889959167383650740291903,000$
12Ted Duca14X100.0054557076648692644851879555883658507302511,900,000$
13Curtis Gordic17X100.0083558988868989952562488151985569508002254,130,000$
14Layton Neveu4X100.005667829890768971258369579745441507903611,563,000$
15Arvi-Antti Ahokari2X100.0088529373947880732579406644419820507703111,650,000$
16Blair Kuntz78X100.007368979398788757256576515184461507703611,580,000$
17Dominic Burry64X100.0073557099997287752572585980428338507702711,300,000$
18Libor Hill47X100.0067457958739998712565489434735029507603012,200,000$
Rayé
1Duma Dodrescu88X100.0060626491999976996177978941697130508602913,400,000$
2Jooel Tuomisalo (A)95X89.8999557392979583896267729952437136508402933,600,000$
3John-Michael Mcdonough0X100.0088555387998382749569679934706261508102353,100,000$
4Daniel Weber55X100.00453586639385856686789291704384585080X02432,800,000$
5Bill Brelih10X100.0086439966329886868285894757588332507602811,323,000$
6Kodi Lapalme28X100.0090699387976451942578827294795918508003143,550,000$
MOYENNE D’ÉQUIPE99.58705576818586807859747278626466385078
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
1Sampa Paunonen1100.008280998998997172939481624823508803123,000,000$
2Bryce Bruha0100.006576848496759685559167554959508102354,050,100$
Rayé
MOYENNE D’ÉQUIPE100.0074789287978784797493745949415085
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Mayor48916691853889CAN4011,800,000$


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 DodrescuBluesRW683647831756101161013971082389.07%32138820.425914321010004507044.91%2167520121.2014110763
2Jooel TuomisaloBluesRW7436458195351561093721131919.68%43141219.0958132310400046310239.81%10310025111.1526001467
3Maxym PansegrauBluesLW68403474233715561012716313414.76%33133519.6494132010030371225244.76%1432918041.1136111744
4Bill BrelihBluesLW74312758775110762397514912.97%21131317.764711128100031193047.71%1092817010.8823100742
5John-Michael McdonoughBluesC73133750301063018116814641768.90%44143919.7229111111003341172052.33%17142135010.6902222214
6Kodi LapalmeBluesD6583745238650907916264644.94%90144022.161459730004109000%04645000.6212415211
7Daniel WeberBluesC74112334-132006313990267412.22%38141819.183251211300011000149.67%16531130000.4802000112
8Kalle-Veikko KekalainenBluesC80102030-83601145314839756.76%1891611.460111260000401238.40%4012712100.6513000211
9Tod BenedictBluesRW80111526-11759065106347010.38%33107013.381125350000232137.50%56821000.4903001010
10Halvor DahlBluesLW71121426-128010761112366310.71%2886912.24112629000032036.59%411819000.6000000104
11Curtis GordicBluesD755202512472510513213841613.62%97186624.8804491160002155100%01562100.2700212000
12Blair KuntzBluesD79618249171582838438337.14%67164320.812247911122145020%04541000.2900201022
13Layton NeveuBluesD4812122-20331542568443381.19%61110723.07022973011192000%04539000.4011102011
14Dominic BurryBluesD79319229531595817430424.05%50136117.24134168000169000%01835000.3200003100
15Vintila DraganBluesRW77107178100294211425598.77%176538.4800006000003042.11%192514100.5200000012
16Julien GhantousBluesC80512176115167345223211.11%177559.45011070001180042.71%288321000.4500010001
17Arvi-Antti AhokariBluesD755712-62077715616198.93%77128617.161235610000105000%0631000.1900000000
18Romeo RoccaBluesLW19268-112102122437274.65%420310.7200000000020133.33%963000.7900110020
19Libor HillBluesD5607738024702716140%6074913.380000200008000%0026000.1900000000
20Andre CorrigallJazz (BLU)LW25347-14035324613336.52%1137815.15000090000161130.67%163311000.3700000100
21Andrei FlatleyBluesC24213-710030173918305.13%426711.1300026000010138.18%5553000.2200000001
22Jared TallonJazz (BLU)RW81123006482912.50%3678.410000000000000%101000.5900000000
23Yaroslav AnokinJazz (BLU)D8011-3801378350%1616320.4100013000012000%008000.1200000000
24Lukas WellerJazz (BLU)D11011000120050.00%01212.780000000000100%000001.5600000010
25Kaarl KontturiJazz (BLU)C6000-62016149570%412320.6200004000190045.99%1371200000000000
26Ted DucaBluesRW1000000020100%199.330000000000000%00000000000000
27Hampus OllilainenBluesLW1000000006200%21212.520000000000000%01000000000000
28Jeremiah DuninJazz (BLU)D1000000110010%01111.100000000000000%00100000000000
29Stig LundeBluesC1000000000010%199.53000000000000100.00%10000000000000
30Dominik HajasBluesRW1000000103000%01313.27000000000000100.00%11000000000000
Statistiques d’équipe totales ou en moyenne13922524236758365320516761660282988115458.91%8722330216.743560951651229459351390381347.59%5110537540590.58113215818353235
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
1Sampa PaunonenBlues62322460.9152.933706201812122826200.6111862111042
2Bryce BruhaBlues2011610.9113.2611222061682340300.857141861313
3Luis HenrichJazz (BLU)10000.7788.001500295000008000
Statistiques d’équipe totales ou en moyenne83433070.9133.0248444024428131171503280801355


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
Andrei FlatleyBluesC272000-04-16CANNo224 Lbs6 ft7NoNoTrade2025-06-24NoNo1FalseFalsePro & Farm1,232,000$1,232,000$8,381$No---------------------------
Arvi-Antti AhokariBluesD311996-08-27FINNo209 Lbs6 ft4NoNoN/ANoNo12024-06-05FalseFalsePro & Farm1,650,000$1,650,000$11,224$No---------------------------
Bill BrelihBluesLW281999-06-28CANNo219 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,323,000$1,323,000$9,000$No---------------------------
Blair KuntzBluesD361991-02-07CANNo190 Lbs5 ft11NoNoFree AgentNoNo12025-10-28FalseFalsePro & Farm1,580,000$1,580,000$10,748$No---------1,000,000$-----------------
Bryce BruhaBluesG232004-05-26CANNo182 Lbs5 ft11NoNoAssign ManuallyNoNo52025-10-26FalseFalsePro & Farm4,050,100$4,050,100$27,552$No4,050,100$4,050,100$4,050,100$4,050,100$-----4,050,100$4,050,100$4,050,100$4,050,100$-----NoNoNoNo-----
Curtis GordicBluesD222005-05-14CANNo219 Lbs6 ft2NoNoAssign ManuallyNoNo52025-10-26FalseFalsePro Only4,130,000$4,130,000$28,095$No4,130,000$4,130,000$4,130,000$4,130,000$-----4,130,000$4,130,000$4,130,000$4,130,000$-----NoNoNoNo-----
Daniel WeberBluesC242003-06-07SWENo181 Lbs5 ft10NoYesTrade2024-02-28NoNo32024-06-05FalseFalsePro & Farm2,800,000$700,000$4,762$No2,800,000$2,800,000$-------2,800,000$2,800,000$-------NoNo-------
Dominic BurryBluesD272000-08-16CANNo178 Lbs5 ft6NoNoN/ANoNo12024-06-05FalseFalsePro & Farm1,300,000$1,300,000$8,844$No---------------------------
Dominik HajasBluesRW202007-08-07SVKYes177 Lbs5 ft10NoNoAssign ManuallyNoNo32025-10-09FalseFalsePro & Farm900,000$900,000$6,122$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Duma DodrescuBluesRW291998-05-23ROUNo244 Lbs6 ft8NoNoAssign ManuallyNoNo12025-02-01FalseFalsePro & Farm3,400,000$3,400,000$23,129$No---------------------------
Halvor DahlBluesLW182009-03-17NORYes173 Lbs5 ft10NoNoAssign ManuallyNoNo32025-10-09FalseFalsePro & Farm900,000$900,000$6,122$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Hampus OllilainenBluesLW291998-11-18FINNo180 Lbs5 ft7NoNoN/ANoNo1FalseFalsePro & Farm903,000$903,000$6,143$No---------------------------
John-Michael McdonoughBluesC232004-10-02CANNo166 Lbs5 ft10NoNoAssign Manually2025-02-08NoNo52025-10-26FalseFalsePro & Farm3,100,000$3,100,000$21,088$No3,100,000$3,100,000$3,100,000$3,100,000$-----3,100,000$3,100,000$3,100,000$3,100,000$-----NoNoNoNo-----
Jooel Tuomisalo (sur la masse salariale)BluesRW291998-10-03FINNo205 Lbs6 ft7NoNoN/ANoNo32024-06-05FalseFalsePro & Farm3,600,000$0$0$Yes3,600,000$3,600,000$-------3,600,000$3,600,000$-------NoNo-------
Julien GhantousBluesC281999-07-13CANNo167 Lbs5 ft5NoNoTrade2025-06-27NoNo1FalseFalsePro & Farm1,008,000$1,008,000$6,857$No---------------------------
Kalle-Veikko KekalainenBluesC341993-02-03FINNo177 Lbs5 ft10NoNoAssign ManuallyNoNo12025-02-01FalseFalsePro & Farm2,400,000$2,400,000$16,327$No---------------------------
Kodi LapalmeBluesD311996-12-08CANNo209 Lbs6 ft0NoNoTrade2025-06-24NoNo42025-02-02FalseFalsePro & Farm3,550,000$3,550,000$24,150$No3,550,000$3,550,000$3,550,000$------3,550,000$3,550,000$3,550,000$------NoNoNo------
Layton NeveuBluesD361991-02-18CANNo165 Lbs5 ft7NoNoFree AgentNoNo12025-10-28FalseFalsePro & Farm1,563,000$1,563,000$10,633$No---------------------------
Libor HillBluesD301997-03-24CZENo189 Lbs5 ft7NoNoN/ANoNo12024-06-05FalseFalsePro & Farm2,200,000$2,200,000$14,966$No---------------------------
Maxym PansegrauBluesLW301997-10-19CANNo177 Lbs5 ft9NoNoN/ANoNo22024-06-05FalseFalsePro & Farm3,000,000$3,000,000$20,408$No3,000,000$--------3,000,000$--------No--------
Romeo RoccaBluesLW301997-04-03CANNo207 Lbs6 ft6NoNoTrade2025-06-24NoNo12025-02-22FalseFalsePro & Farm2,017,258$2,017,258$13,723$No---------------------------
Sampa PaunonenBluesG311996-06-15FINNo231 Lbs6 ft7NoNoN/ANoNo2FalseFalsePro & Farm3,000,000$3,000,000$20,408$No3,000,000$--------3,000,000$--------No--------
Stig LundeBluesC182009-05-14NORYes195 Lbs6 ft6NoNoAssign ManuallyNoNo32025-10-09FalseFalsePro & Farm1,000,000$1,000,000$6,803$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Ted DucaBluesRW252002-05-16CANNo179 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm1,900,000$1,900,000$12,925$No---------------------------
Tod BenedictBluesRW222005-11-25USANo179 Lbs5 ft7NoNoTrade2025-10-06NoNo12024-07-04FalseFalsePro & Farm900,000$900,000$6,122$No---------------------------
Vintila DraganBluesRW321995-05-01ROUNo218 Lbs6 ft6NoNoAssign ManuallyNoNo22025-02-01FalseFalsePro & Farm1,600,000$1,600,000$10,884$No1,600,000$--------1,600,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2627.42194 Lbs6 ft02.082,115,629$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
55,006,358$31,630,100$24,030,100$14,830,100$11,280,100$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Maxym PansegrauKalle-Veikko KekalainenTod Benedict35122
2Halvor DahlJulien GhantousVintila Dragan35122
3Romeo RoccaAndrei FlatleyDominik Hajas20122
4Hampus OllilainenStig LundeTed Duca10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Curtis Gordic35122
2Layton NeveuArvi-Antti Ahokari35122
3Blair KuntzDominic Burry20122
4Curtis Gordic10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Maxym PansegrauKalle-Veikko KekalainenTod Benedict50122
2Halvor DahlJulien GhantousVintila Dragan50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Curtis Gordic50122
2Layton NeveuArvi-Antti Ahokari50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kalle-Veikko KekalainenMaxym Pansegrau50122
2Julien GhantousHalvor Dahl50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Curtis Gordic50122
2Layton NeveuArvi-Antti Ahokari50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kalle-Veikko Kekalainen50122Curtis Gordic50122
2Julien Ghantous50122Layton NeveuArvi-Antti Ahokari50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kalle-Veikko KekalainenMaxym Pansegrau50122
2Julien GhantousHalvor Dahl50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Curtis Gordic50122
2Layton NeveuArvi-Antti Ahokari50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Maxym PansegrauKalle-Veikko KekalainenTod BenedictCurtis Gordic
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Halvor DahlJulien GhantousVintila DraganLayton NeveuArvi-Antti Ahokari
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Vintila Dragan, Andrei Flatley, Dominik HajasVintila Dragan, Andrei FlatleyVintila Dragan
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Arvi-Antti Ahokari, Blair Kuntz, Dominic BurryArvi-Antti AhokariArvi-Antti Ahokari, Blair Kuntz
Tirs de pénalité
Maxym Pansegrau, Tod Benedict, Kalle-Veikko Kekalainen, Julien Ghantous, Vintila Dragan
Gardien
#1 : Sampa Paunonen, #2 : Bryce Bruha
Lignes d’attaque personnalisées en prolongation
Maxym Pansegrau, Tod Benedict, Kalle-Veikko Kekalainen, Julien Ghantous, Vintila Dragan, Andrei Flatley, Dominik Hajas, Halvor Dahl, Stig Lunde, Romeo Rocca
Lignes de défense personnalisées en prolongation
, Curtis Gordic, Layton Neveu, Arvi-Antti Ahokari, Blair Kuntz


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Bandits22000000734110000003121100000042241.0007121900214078173625076124486233.33%20100.00%0903186348.47%988209347.20%617124349.64%442742163217
2Blizzard2020000048-41010000013-21010000035-200.000461000121064312013071221237100.00%6350.00%0903186348.47%988209347.20%617124349.64%402445163316
3Chaos21100000743110000006151010000013-220.50071017002320742229230671923353266.67%40100.00%0903186348.47%988209347.20%617124349.64%412444173416
4Dockheads40200011611-52010001046-22010000125-330.375681400032313834613914148483192700.00%13284.62%0903186348.47%988209347.20%617124349.64%855095366933
5Dynasty422000001315-22020000059-42200000086240.50013243700256015637576201323341988225.00%13192.31%0903186348.47%988209347.20%617124349.64%844987346834
6Harfang20100100612-61000010056-11010000016-510.2506915001410801738241742015415120.00%50100.00%0903186348.47%988209347.20%617124349.64%432643173416
7Knights22000000532110000002111100000032141.000591400113063172224071184032100.00%10190.00%0903186348.47%988209347.20%617124349.64%412546173115
8Maulers22000000972110000006511100000032141.00091322002340742929160601415456233.33%50100.00%0903186348.47%988209347.20%617124349.64%412343183517
9Mighty Moose210001005501000010023-11100000032130.75058130004106415292007525833600.00%4175.00%0903186348.47%988209347.20%617124349.64%432541173417
10Militia220000001349110000009181100000043141.000132235007330622222180722046484125.00%90100.00%2903186348.47%988209347.20%617124349.64%412443173417
11Muertos4210000116124211000009722100000175250.62516314700664017461545391415424815120.00%7271.43%0903186348.47%988209347.20%617124349.64%865493326532
12North Stars413000001013-3211000006512020000048-420.25010152500352014547514701125219864125.00%7185.71%0903186348.47%988209347.20%617124349.64%834988346732
13Orcas41100110810-22010010037-42100001053250.62581119002322131454731121173938791119.09%9188.89%0903186348.47%988209347.20%617124349.64%844487377739
14Privateers833011002832-44110110013130422000001519-490.56328477500910813201051031111301847017113215.38%15660.00%0903186348.47%988209347.20%617124349.64%1761101746713065
15Razorbacks43100000191362200000010462110000099060.750193251004690151487132013646259713753.85%10280.00%1903186348.47%988209347.20%617124349.64%875486336632
16Redbull21100000972110000006331010000034-120.50091625000270571123230782215473133.33%5180.00%0903186348.47%988209347.20%617124349.64%372047183416
17Royals825000102329-6412000101213-1413000001116-560.3752338610010931285971028623041094715214321.43%21576.19%0903186348.47%988209347.20%617124349.64%165991856813366
18Stingrays210000016511000000123-11100000042230.75061218000331791924357681769363133.33%7185.71%0903186348.47%988209347.20%617124349.64%402347193617
19Stormbreakers2010100067-11010000013-21000100054120.500610160004117117282517132635500.00%3166.67%0903186348.47%988209347.20%617124349.64%412544173317
20Trident8430001026251412000101517-2431000001183100.6252639650031111127581100942272805818512216.67%25292.00%1903186348.47%988209347.20%617124349.64%1701011766913766
21Twisters21100000963110000006241010000034-120.500914230024307827282307534133811100.00%4250.00%0903186348.47%988209347.20%617124349.64%422744163315
22Voltage422000001394211000007612110000063340.500132134005440125465227013745498411327.27%12283.33%0903186348.47%988209347.20%617124349.64%824790356732
23Voodoo4300001016792100001063322000000104681.00016244000636314938584971554633879222.22%90100.00%0903186348.47%988209347.20%617124349.64%935784346635
Total80363002453264247174016140144113912217402016010121251250930.58126443169500689990132893883108490056281389170116871513523.18%2053483.41%4903186348.47%988209347.20%617124349.64%1701101717846941361673
_Since Last GM Reset80363002453264247174016140144113912217402016010121251250930.58126443169500689990132893883108490056281389170116871513523.18%2053483.41%4903186348.47%988209347.20%617124349.64%1701101717846941361673
_Vs Conference5623230125217817622891201240909002814110001288862620.5541782904680050655711204963975663147195563643512121072422.43%1412482.98%2903186348.47%988209347.20%617124349.64%11997181249485951470
_Vs Division24911011207786-91235011204043-31266000003743-6250.52177124201002230223880283305291587727317550839717.95%611378.69%1903186348.47%988209347.20%617124349.64%513311535205402197

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8093W226443169528932813891701168700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8036302453264247
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4016141441139122
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4020161012125125
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1513523.18%2053483.41%4
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
88310849005668999013
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
903186348.47%988209347.20%617124349.64%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1701101717846941361673


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 - 2025-11-0211Royals4Blues5WSommaire du match
2 - 2025-11-0315Blues3Mighty Moose2WSommaire du match
4 - 2025-11-0529Knights1Blues2WSommaire du match
6 - 2025-11-0747Dockheads4Blues1LSommaire du match
8 - 2025-11-0959Blues2North Stars3LSommaire du match
10 - 2025-11-1171Blues1Privateers6LSommaire du match
12 - 2025-11-1380Blues1Dockheads3LSommaire du match
13 - 2025-11-1486Blues3Twisters4LSommaire du match
15 - 2025-11-16108Blues7Privateers2WSommaire du match
16 - 2025-11-17109Blues4Bandits2WSommaire du match
18 - 2025-11-19126Bandits1Blues3WSommaire du match
20 - 2025-11-21144Blues2Trident1WSommaire du match
22 - 2025-11-23155Voltage2Blues4WSommaire du match
23 - 2025-11-24162Chaos1Blues6WSommaire du match
25 - 2025-11-26170Blues3Blizzard5LSommaire du match
27 - 2025-11-28191Privateers2Blues3WXSommaire du match
29 - 2025-11-30202Maulers5Blues6WSommaire du match
31 - 2025-12-02215Voodoo1Blues3WSommaire du match
33 - 2025-12-04226Stormbreakers3Blues1LSommaire du match
34 - 2025-12-05236Blues5Royals3WSommaire du match
36 - 2025-12-07249Voltage4Blues3LSommaire du match
37 - 2025-12-08255Blues4Trident1WSommaire du match
39 - 2025-12-10266North Stars2Blues1LSommaire du match
41 - 2025-12-12281Blues5Voltage1WSommaire du match
43 - 2025-12-14296Privateers3Blues4WSommaire du match
44 - 2025-12-15303Trident4Blues1LSommaire du match
46 - 2025-12-17310Blues4Militia3WSommaire du match
48 - 2025-12-19332Muertos4Blues3LSommaire du match
50 - 2025-12-21342Blues6Voodoo2WSommaire du match
51 - 2025-12-22351Razorbacks1Blues5WSommaire du match
53 - 2025-12-24363Voodoo2Blues3WXXSommaire du match
55 - 2025-12-26380Stingrays3Blues2LXXSommaire du match
57 - 2025-12-28389Blues2Orcas1WSommaire du match
58 - 2025-12-29398Blizzard3Blues1LSommaire du match
60 - 2025-12-31410Dynasty4Blues2LSommaire du match
62 - 2026-01-02418Blues5Stormbreakers4WXSommaire du match
64 - 2026-01-04440Blues4Privateers2WSommaire du match
65 - 2026-01-05446Blues3Royals6LSommaire du match
67 - 2026-01-07458Orcas3Blues2LXSommaire du match
69 - 2026-01-09477Trident4Blues2LSommaire du match
71 - 2026-01-11489Dynasty5Blues3LSommaire du match
73 - 2026-01-13500Blues1Voltage2LSommaire du match
75 - 2026-01-15513Blues4Voodoo2WSommaire du match
76 - 2026-01-16525Orcas4Blues1LSommaire du match
78 - 2026-01-18536Blues4Razorbacks6LSommaire du match
80 - 2026-01-20544Blues3Knights2WSommaire du match
82 - 2026-01-22560Mighty Moose3Blues2LXSommaire du match
83 - 2026-01-23572Royals5Blues4LSommaire du match
85 - 2026-01-25583Dockheads2Blues3WXXSommaire du match
86 - 2026-01-26588Blues4Muertos1WSommaire du match
88 - 2026-01-28602Muertos3Blues6WSommaire du match
90 - 2026-01-30618Razorbacks3Blues5WSommaire du match
92 - 2026-02-01623Blues1Harfang6LSommaire du match
94 - 2026-02-03642Blues5Dynasty4WSommaire du match
96 - 2026-02-05655Harfang6Blues5LXSommaire du match
97 - 2026-02-06661Blues3Muertos4LXXSommaire du match
99 - 2026-02-08674Blues1Chaos3LSommaire du match
101 - 2026-02-10690North Stars3Blues5WSommaire du match
103 - 2026-02-12700Blues4Stingrays2WSommaire du match
104 - 2026-02-13713Privateers4Blues3LSommaire du match
106 - 2026-02-15724Blues5Razorbacks3WSommaire du match
107 - 2026-02-16732Blues3Maulers2WSommaire du match
111 - 2026-02-20757Privateers4Blues3LXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
113 - 2026-02-22768Militia1Blues9WSommaire du match
114 - 2026-02-23772Blues1Dockheads2LXXSommaire du match
116 - 2026-02-25785Twisters2Blues6WSommaire du match
118 - 2026-02-27802Royals3Blues1LSommaire du match
120 - 2026-03-01814Blues1Royals3LSommaire du match
121 - 2026-03-02819Blues3Orcas2WXXSommaire du match
123 - 2026-03-04830Blues3Privateers9LSommaire du match
125 - 2026-03-06847Trident6Blues7WXXSommaire du match
127 - 2026-03-08852Blues3Redbull4LSommaire du match
128 - 2026-03-09863Blues3Dynasty2WSommaire du match
131 - 2026-03-12877Blues1Trident4LSommaire du match
132 - 2026-03-13889Trident3Blues5WSommaire du match
134 - 2026-03-15898Blues2North Stars5LSommaire du match
137 - 2026-03-18915Redbull3Blues6WSommaire du match
139 - 2026-03-20926Blues2Royals4LSommaire du match
142 - 2026-03-23945Blues4Trident2WSommaire du match
144 - 2026-03-25953Royals1Blues2WXXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets110654030200
Assistance224,712188,08775,156150,47738,202
Attendance PCT93.63%94.04%93.95%94.05%95.51%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 16916 - 93.98% 1,758,541$70,341,646$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
52,053,601$ 51,406,358$ 49,306,358$ 1,800,000$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
49,306,358$ 49,967,871$ 0$ 25 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 361,948$ 361,948$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
412,272$ 70,309,874$ 69,897,602$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
54,830,308$ 4,169,692$ 59,000,000$ 28,830,308$



Charte de profondeur

Ailier gaucheCentreAilier droit
Maxym PansegrauAGE:30PO:26OV:82
Andre Corrigall (R)AGE:20PO:81OV:76
Halvor Dahl (R)AGE:18PO:69OV:76
Bill BrelihAGE:28PO:32OV:76
Hampus OllilainenAGE:29PO:36OV:74
Romeo RoccaAGE:30PO:25OV:74
Dexter Lovatsis (R)AGE:21PO:75OV:70
Norman DobrescuAGE:24PO:64OV:65
Carter ChilsonAGE:26PO:53OV:64
John-Michael McdonoughAGE:23PO:61OV:81
Daniel WeberAGE:24PO:58OV:80
Julien GhantousAGE:28PO:34OV:79
Kalle-Veikko KekalainenAGE:34PO:4OV:79
Andrei FlatleyAGE:27PO:50OV:78
Kaarl KontturiAGE:29PO:38OV:78
Stig Lunde (R)AGE:18PO:68OV:76
Damon ColcloughAGE:27PO:45OV:75
Elias Dansereau (R)AGE:22PO:65OV:71
Griffith Deer (R)AGE:20PO:76OV:69
Brennan KnappAGE:24PO:61OV:67
Duma DodrescuAGE:29PO:30OV:86
Jooel TuomisaloAGE:29PO:36OV:84
Tod BenedictAGE:22PO:67OV:79
Vintila DraganAGE:32PO:19OV:78
Dominik Hajas (R)AGE:20PO:72OV:76
Maddison BilckeAGE:26PO:40OV:75
Jared Tallon (R)AGE:23PO:59OV:74
Ted DucaAGE:25PO:58OV:73
Washington Banker (R)AGE:22PO:63OV:72
Adrian Tillberg (R)AGE:21PO:72OV:71
Raphael DupuisAGE:24PO:52OV:70

Défense #1Défense #2Gardien
Curtis GordicAGE:22PO:69OV:80
Kodi LapalmeAGE:31PO:18OV:80
Lukas Weller (R)AGE:23PO:57OV:79
Layton NeveuAGE:36PO:1OV:79
Dominic BurryAGE:27PO:38OV:77
Arvi-Antti AhokariAGE:31PO:20OV:77
Blair KuntzAGE:36PO:1OV:77
Jeremiah Dunin (R)AGE:22PO:68OV:76
Manuel AlbertazziAGE:27PO:41OV:76
Libor HillAGE:30PO:29OV:76
Yaroslav AnokinAGE:32PO:15OV:75
Sergey IzvolinAGE:27PO:38OV:73
Gareth MccraryAGE:36PO:1OV:72
Val Cuming (R)AGE:22PO:67OV:66
Jordyn Balding (R)AGE:23PO:68OV:59
Gosta JorgensenAGE:25PO:57OV:59
Sampa PaunonenAGE:31PO:23OV:88
Bryce BruhaAGE:23PO:59OV:81
Luis HenrichAGE:26PO:44OV:77
Giovanni Cremen (R)AGE:21PO:74OV:74
Ray MiinanenAGE:27PO:34OV:72
Burt Bannon (R)AGE:21PO: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
Erik BeitoBlues5103
Felix-Nicolas CuratoloBlues3642025-02-08
Hynek VasakBlues599
Karl-Erik VestinBlues436
Nathaniel RadmacherBlues4108
Noa MustajarviBlues4722025-06-24
Phillipp HegglinBlues5120

Choix au repêchage

Année R1R2R3R4R5
6
7
8
9
10
Choix au repêchage conditionnel



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


Blues Historique de transactions

[3/23/2026 6:43:10 PM] Manuel Albertazzi signed with Blues for $1,600,000 for 1 year(s).
[3/23/2026 6:43:10 PM] Manuel Albertazzi was added to Blues.
[2/23/2026 6:15:42 PM] New Record for Team's Most Points (25) in 1 Game for Blues!
[2/23/2026 6:15:42 PM] New Record for Team's Most Assists (16) in 1 Game for Blues!
[2/23/2026 6:15:42 PM] New Record for Team's Most Goals (9) in 1 Game for Blues!



Jooel Tuomisalo est dehors pour 6 jours à cause de Right Knee Injury.
Gareth Mccrary est dehors pour 2 jours à cause de Left Leg Injury.
Gosta Jorgensen est dehors pour 1 mois à cause de Sprained Right 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 Dodrescu38819819639414407530539188010.53%215749819.33283967131011933842.60%91.05838
2Jooel Tuomisalo383154164318-17248773530147710.43%215699318.2616213792000931634.97%70.911032
3Kalle-Veikko Kekalainen392102193295-2339578555111498.88%152688517.56123244582241191038.59%20.8618
4Maxym Pansegrau3741301582883131300455121610.69%186717719.19241842753032619745.49%70.80718
5Wes Pushka305106148254-812151430095511.10%130569118.66232245691011017553.27%10.89421

Blues Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Sampa Paunonen282143102280.9103.1516391121860952537871020.657108
2Bryce Bruha99393780.9123.07544910027931641595930.77836
3Luis Henrich2110820.9152.8812082058683388010.76913
4Ignat Omelichev2491220.8784.4211964088723421200.8336

Blues Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
180283006871275278-340141504430133137-4401415024411421411912754507251054107101212952953100897057277599271617431472517.01%2234778.92%2896188547.53%894187647.65%605130346.43%1720103717737121372661
28038250365328324934401612014431261151140221302210157134231012834737560086103861730921027109593965286792881117481522919.08%2363386.02%2926197246.96%931212643.79%591124047.66%1729104317617121360651
3803031062472622539401815030221281161240121603225134137-38926243469620699489152941994100989977281598062217791453423.45%1973184.26%3830189443.82%955207146.11%534119144.84%1758107817576951348657
480264302234236282-4640122501011121161-4040141801223115121-6682363876233152948592834894101390742283193269216941342518.66%2073981.16%1894192746.39%1045213249.02%595121149.13%1707102917856941347653
5803630024532642471740161401441139122174020160101212512509326443169500689990132893883108490056281389170116871513523.18%2053483.41%4903186348.47%988209347.20%617124349.64%1701101717846941361673
Total Saison régulière4001581590192224181320130911200768101012147647651-4200827809101011673658154421320217534956132949745175147124751520946152971410147233542865172914820.30%106818482.77%124449954146.63%48131029846.74%2942618847.54%861852068863350967903298
Séries éliminatoires
11147000003746-95230000021201624000001626-1083760971081910044715712916104111209222515426.67%26773.08%315432846.95%11028538.60%8018144.20%2331452489417784
2624000001416-23120000068-23120000088041426400044602196966795197582414410110.00%12283.33%06315440.91%6616041.25%337643.42%134811295310351
Total Séries éliminatoires17611000005162-11835000002728-1936000002434-10125186137101223160666226195240560817811636925520.00%38976.32%321748245.02%17644539.55%11325743.97%368226378148280136

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 Dodrescu171171811516231169.48%833419.66112610120035.71%01.0800
2Robert Sisma1731215143030397.69%634920.58011101101053.20%00.8600
3Maxym Pansegrau177815-7911204316.28%832719.28033100011053.13%00.9200
4Kalle-Veikko Kekalainen176814-794034649.38%631718.67011300000031.50%00.8800
5Mikhail Tsvetkov113811-4229122611.54%1228125.5610111013000%00.7800

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 Paunonen176820.9023.4896560565742481000
2Ignat Omelichev10100.8895.002400218110100
3Luis Henrich20000.8005.14350031590000