Milwaukee Admirals
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Yann | Morale : 50 | Moyenne d’équipe : 65

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralYann
DivisionDivision 5
ConférenceConference 2
CapitaineDmitri Voronkov
Assistant #1Michael McCarron
Assistant #2Calen Addison


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison0


Informations de la formation

Équipe Pro22
Équipe Mineure16
Limite contact 38 / 55
Espoirs11


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Mason Marchment0X100.0083657581837092713877766525777942507003152,750,000$
2Dmitri Voronkov (C)0XX100.0078647681896775797471786725646464506902642,999,999$
3Taylor Raddysh0XX100.0080538474767590783762598025767653506802831,750,000$
4Teddy Blueger0XX100.0080598375676880659076618025828425506803232,876,000$
5Alexander Holtz0XX100.0060429684696873753468766925656572506702441,500,000$
6Michael McCarron (A)0XX100.0090995869916277658761698025767742506703131,750,777$
7Arthur Kaliyev0XX100.006242948279676977256870667572737050670253750,000$
8Josh Filmon0XX100.0051459180587391776364816181615783506702251,450,000$
9Aatu Raty0XX100.008746887576579159926070642551516750630233775,000$
10Andrei Loshko (R)0XX100.004944927566819572645971537655558950630222925,000$
11Justin Sourdif (R)0XX100.006159786972676958755756605551517350580242700,000$
12Calen Addison (A)0X100.0077566783627281882575697525727363507102631,700,000$
13Kevin Korchinski0X100.0056537678757990822585727950596081507102252,050,000$
14David Spacek0X100.0053488774637691762579677348666480506702351,300,000$
15Ian Mitchell0X100.0057408577716863682559568025595964506502731,000,000$
16Nate Misskey (R)0X100.005856866879749558255946764853538750640212925,000$
Rayé
1Henri Nikkanen (R)0X100.007673926884717550634451644852527250570253925,000$
2Will Sharpe (R)0X100.005450837070739556255645714746469350610192925,000$
3Tyler Kleven (R)0X100.007273797187626651254642624049497550590244700,000$
4Lassi Thomson6X100.006867807670697651254344614054526850590263700,000$
MOYENNE D’ÉQUIPE100.00685783767470826847636369426262685065
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Nikita Tolopilo0100.00604759906978727780663051516850680265990,000$
2Ilya Kanarsky (R)0100.00707468687070657569686857578750660212925,000$
Rayé
MOYENNE D’ÉQUIPE100.0065616479707469767567495454785067
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
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


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
Aatu RatyMilwaukee Admirals (NSH)C/LW232002-11-14FINNo204 Lbs6 ft2NoNoAssign ManuallyNoNo32026-03-26FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Alexander HoltzMilwaukee Admirals (NSH)LW/RW242002-01-23SWENo192 Lbs6 ft0NoNoTrade2025-09-14NoNo42025-07-27FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$1,500,000$------1,500,000$1,500,000$1,500,000$------NoNoNo------Lien / Lien NHL
Andrei LoshkoMilwaukee Admirals (NSH)LW/RW222004-10-07BLRYes181 Lbs6 ft1NoNoAssign ManuallyNoNo22026-04-08FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Arthur KaliyevMilwaukee Admirals (NSH)LW/RW252001-06-25UZBNo212 Lbs6 ft2NoNoTrade2026-03-27NoNo32024-12-29FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien / Lien NHL
Calen AddisonMilwaukee Admirals (NSH)D262000-04-10MANNo173 Lbs5 ft11NoNoAssign ManuallyNoNo32024-12-29FalseFalsePro & Farm1,700,000$0$0$No1,700,000$1,700,000$-------1,700,000$1,700,000$-------NoNo-------Lien / Lien NHL
David SpacekMilwaukee Admirals (NSH)D232003-02-18USANo174 Lbs6 ft0NoNoTrade2026-04-12NoNo52026-03-20FalseFalsePro & Farm1,300,000$0$0$No1,300,000$1,300,000$1,300,000$1,300,000$-----1,300,000$1,300,000$1,300,000$1,300,000$-----NoNoNoNo-----Lien
Dmitri VoronkovMilwaukee Admirals (NSH)C/RW262000-09-10RUSNo230 Lbs6 ft5NoNoAssign ManuallyNoNo42025-08-29FalseFalsePro & Farm2,999,999$0$0$No2,999,999$2,999,999$2,999,999$------2,999,999$2,999,999$2,999,999$------NoNoNo------Lien / Lien NHL
Henri NikkanenMilwaukee Admirals (NSH)C252001-04-28FINYes217 Lbs6 ft5NoNoAssign ManuallyNoNo32026-04-12FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien
Ian MitchellMilwaukee Admirals (NSH)D271999-01-18ABNo198 Lbs5 ft11NoNoTrade2025-09-14NoNo32025-01-15FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Ilya KanarskyMilwaukee Admirals (NSH)G212004-12-06RUSYes180 Lbs6 ft3NoNoAssign ManuallyNoNo22026-04-08FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Josh FilmonMilwaukee Admirals (NSH)LW/RW222004-03-18CANNo158 Lbs6 ft1NoNoAssign Manually2025-01-05NoNo52026-03-20FalseFalsePro & Farm1,450,000$0$0$No1,450,000$1,450,000$1,450,000$1,450,000$-----1,450,000$1,450,000$1,450,000$1,450,000$-----NoNoNoNo-----Lien
Justin SourdifMilwaukee Admirals (NSH)C/RW242002-03-24BCYes200 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-27FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Kevin KorchinskiMilwaukee Admirals (NSH)D222004-06-21CANNo198 Lbs6 ft3NoNoAssign ManuallyNoNo52026-03-20FalseFalsePro & Farm2,050,000$0$0$No2,050,000$2,050,000$2,050,000$2,050,000$-----2,050,000$2,050,000$2,050,000$2,050,000$-----NoNoNoNo-----Lien / Lien NHL
Lassi ThomsonMilwaukee Admirals (NSH)D262000-09-24FINNo195 Lbs6 ft0NoNoAssign ManuallyNoNo32026-04-11FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien
Mason MarchmentMilwaukee Admirals (NSH)RW311995-03-06ONTNo215 Lbs6 ft5NoNoTrade2026-11-08NoNo52026-03-20FalseFalsePro & Farm2,750,000$0$0$No2,750,000$2,750,000$2,750,000$2,750,000$-----2,750,000$2,750,000$2,750,000$2,750,000$-----NoNoNoNo-----Lien / Lien NHL
Michael McCarronMilwaukee Admirals (NSH)C/RW311995-03-07USANo232 Lbs6 ft6NoNoTrade2026-04-09NoNo32025-01-14FalseFalsePro & Farm1,750,777$0$0$No1,750,777$1,750,777$-------1,750,777$1,750,777$-------NoNo-------Lien / Lien NHL
Nate MisskeyMilwaukee Admirals (NSH)D212005-01-12CANYes210 Lbs6 ft3NoNoAssign ManuallyNoNo22026-04-08FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Nikita TolopiloMilwaukee Admirals (NSH)G262000-04-06BELNo229 Lbs6 ft6NoNoAssign ManuallyNoNo52026-03-20FalseFalsePro & Farm990,000$0$0$No990,000$990,000$990,000$990,000$-----990,000$990,000$990,000$990,000$-----NoNoNoNo-----Lien
Taylor RaddyshMilwaukee Admirals (NSH)LW/RW281998-02-18CANNo205 Lbs6 ft2NoNoTrade2025-01-12NoNo32024-12-29FalseFalsePro & Farm1,750,000$0$0$No1,750,000$1,750,000$-------1,750,000$1,750,000$-------NoNo-------Lien / Lien NHL
Teddy BluegerMilwaukee Admirals (NSH)C/LW321994-08-14LATNo185 Lbs6 ft0NoNoTrade2026-04-05NoNo32025-01-14FalseFalsePro & Farm2,876,000$0$0$No2,876,000$2,876,000$-------2,876,000$2,876,000$-------NoNo-------Lien / Lien NHL
Tyler KlevenMilwaukee Admirals (NSH)D242002-01-10USAYes225 Lbs6 ft5NoNoAssign ManuallyNoNo42025-07-27FalseFalsePro & Farm700,000$0$0$No700,000$700,000$700,000$------700,000$700,000$700,000$------NoNoNo------Lien / Lien NHL
Will SharpeMilwaukee Admirals (NSH)D192007-03-07CANYes195 Lbs6 ft0NoNoAssign ManuallyNoNo22026-04-08FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2224.91200 Lbs6 ft23.361,380,308$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Josh FilmonTeddy BluegerDmitri Voronkov30104
2Alexander HoltzMichael McCarronArthur Kaliyev30104
3Taylor Raddysh30104
4Andrei LoshkoAatu RatyTaylor Raddysh10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonKevin Korchinski35122
2Nate MisskeyDavid Spacek35122
3Ian Mitchell20122
4Kevin KorchinskiCalen Addison10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dmitri Voronkov60122
2Josh FilmonMichael McCarronAlexander Holtz40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonKevin Korchinski60122
2Arthur KaliyevDavid Spacek40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael McCarronTaylor Raddysh60122
2Teddy BluegerArthur Kaliyev40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian Mitchell60122
2Nate MisskeyKevin Korchinski40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Taylor Raddysh60122Ian Mitchell60122
2Arthur Kaliyev40122Nate MisskeyCalen Addison40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Dmitri VoronkovAlexander Holtz40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonKevin Korchinski60122
2Nate MisskeyDavid Spacek40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Josh FilmonDmitri VoronkovCalen AddisonKevin Korchinski
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander HoltzDmitri VoronkovCalen AddisonKevin Korchinski
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Josh FilmonAlexander Holtz, Alexander Holtz
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
David Spacek, Kevin Korchinski, Calen AddisonIan MitchellNate Misskey,
Tirs de pénalité
Kevin Korchinski, Teddy Blueger, Dmitri Voronkov, , Taylor Raddysh
Gardien
#1 : Ilya Kanarsky, #2 : Nikita Tolopilo
Lignes d’attaque personnalisées en prolongation
Dmitri Voronkov, , , Josh Filmon, Michael McCarron, Alexander Holtz, Teddy Blueger, Arthur Kaliyev, Aatu Raty, Andrei Loshko
Lignes de défense personnalisées en prolongation
Kevin Korchinski, David Spacek, Calen Addison, Nate Misskey, Ian Mitchell


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 30,366,776$ 30,366,776$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Milwaukee Admirals 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

Milwaukee Admirals 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

Milwaukee Admirals 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

Milwaukee Admirals 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

Milwaukee Admirals 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