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Milwaukee Admirals
GP: 5 | W: 4 | L: 1 | OTL: 0 | P: 8
GF: 39 | GA: 16 | PP%: 60.00% | PK%: 100.00%
DG: Kevin Royer | Morale : 52 | Moyenne d’équipe : N/A
Prochains matchs #71 vs Texas Stars

Centre de jeu
Milwaukee Admirals
4-1-0, 8pts
6
7 Rockford IceHogs
1-3-0, 2pts
Team Stats
W1SéquenceL1
2-0-0Fiche domicile1-1-0
2-1-0Fiche domicile0-2-0
4-1-0Derniers 10 matchs1-3-0
7.80Buts par match 4.25
3.20Buts contre par match 6.75
60.00%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique50.00%
Iowa Wild
1-3-0, 2pts
3
10 Milwaukee Admirals
4-1-0, 8pts
Team Stats
L3SéquenceW1
1-1-0Fiche domicile2-0-0
0-2-0Fiche domicile2-1-0
1-3-0Derniers 10 matchs4-1-0
4.50Buts par match 7.80
8.00Buts contre par match 3.20
0.00%Pourcentage en avantage numérique60.00%
81.82%Pourcentage en désavantage numérique100.00%
Milwaukee Admirals
4-1-0, 8pts
2026-10-17
Texas Stars
3-0-0, 6pts
Statistiques d’équipe
W1SéquenceW3
2-0-0Fiche domicile2-0-0
2-1-0Fiche visiteur1-0-0
4-1-010 derniers matchs3-0-0
7.80Buts par match 6.00
3.20Buts contre par match 6.00
60.00%Pourcentage en avantage numérique11.11%
100.00%Pourcentage en désavantage numérique100.00%
Colorado Eagles
3-0-1, 7pts
2026-10-20
Milwaukee Admirals
4-1-0, 8pts
Statistiques d’équipe
W3SéquenceW1
2-0-0Fiche domicile2-0-0
1-0-1Fiche visiteur2-1-0
3-0-110 derniers matchs4-1-0
7.50Buts par match 7.80
3.00Buts contre par match 7.80
0.00%Pourcentage en avantage numérique60.00%
100.00%Pourcentage en désavantage numérique100.00%
Milwaukee Admirals
4-1-0, 8pts
2026-10-23
Texas Stars
3-0-0, 6pts
Statistiques d’équipe
W1SéquenceW3
2-0-0Fiche domicile2-0-0
2-1-0Fiche visiteur1-0-0
4-1-010 derniers matchs3-0-0
7.80Buts par match 6.00
3.20Buts contre par match 6.00
60.00%Pourcentage en avantage numérique11.11%
100.00%Pourcentage en désavantage numérique100.00%
Meneurs d'équipe
Cameron HebigButs
Cameron Hebig
10
Shai BuiumPasses
Shai Buium
11
Liam FoudyPoints
Liam Foudy
14
Cameron HebigPlus/Moins
Cameron Hebig
11

Statistiques d’équipe
Buts pour
39
7.80 GFG
Tirs pour
328
65.60 Avg
Pourcentage en avantage numérique
60.0%
3 GF
Début de zone offensive
49.4%
Buts contre
16
3.20 GAA
Tirs contre
156
31.20 Avg
Pourcentage en désavantage numérique
100.0%%
0 GA
Début de la zone défensive
25.6%
Informations de l'équipe

Directeur généralKevin Royer
EntraîneurSteve Ott
DivisionDivision 2
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure20
Limite Contrat42 / 75
Espoirs31


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
1Liam FoudyXXX100.0064379165758785636159616264666805400261850,000$
2Cameron HebigX100.0060388564698985636562666163697105400291812,500$
3Xavier BourgaultX100.0065368957698485566059585557646604600231850,000$
4Jayden GrubbeX100.0075417654847583526155535754626404600231850,000$
5Matvey PetrovX100.0067379558767276565355575459636504600231850,000$
6Nico MyatovicX100.0068398959777285585355565754626404600211896,667$
7Ryan WintertonXX100.00703990677581866260656164626365054002221,125,000$
8Landon SimX100.0055475258647163565052595357626404600212955,000$
9Oscar Fisker MolgaardX100.0061369462687683596160585759616304600212914,166$
10Dmitri SimashevX100.0073427566868385633065566249616305400212950,000$
11Jack MatierX100.0084437754936471533055536046636504600231850,000$
12Shai BuiumX100.0076399160856679563061535947636505400231925,000$
13Vsevolod KomarovX100.0070436858777583573056535946626405100221835,000$
14Jakub DvorakX100.0081437655906277543053525845616305400212840,000$
15Tanner MolendykX100.0063379363726582593060545547616304600212909,166$
Rayé
1Nicolas BeaudinX100.0057387463666570573064515446656704500261850,000$
2Carter BergerX100.0066379156746563533054505546676904500261850,000$
3Chase PietilaX100.0069486555786585543053515645626404500222960,000$
MOYENNE D’ÉQUIPE100.006840826077737957445856585363650490
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
1Ruslan Khazheyev (R)100.006874719367666867666867616504800211920,000$
2Jakub Malek100.007583798074737574737574647104800241875,000$
Rayé
1Talyn Boyko100.006672689465646665646665647104800231850,000$
2Aku Koskenvuo100.006574708164636564636564636904800231925,000$
MOYENNE D’ÉQUIPE100.00697672876867696867696863690480
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Steve Ott67686971676282CAN443500,000$


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
1Liam FoudyMilwaukee Admirals (NSH)C/LW/RW5771480021119016427.78%011122.2511243000061080.00%14000012.5200000031
2Cameron HebigMilwaukee Admirals (NSH)C5103131140201257103817.54%16112.3500000000011061.76%6800024.2100000200
3Shai BuiumMilwaukee Admirals (NSH)D521113520233299126.90%149819.710333300012000%000002.6400000002
4Ryan WintertonMilwaukee Admirals (NSH)C/RW59312700221464215714.06%49018.1510121000021050.00%800022.6400000111
5Jakub DvorakMilwaukee Admirals (NSH)D51910720211315986.67%88517.150000000031100%000002.3300000011
6Dmitri SimashevMilwaukee Admirals (NSH)D55387201872251222.73%1111322.720003200003010%000001.4100000100
7Caleb JonesNashville PredatorsD405540012610670%28922.330003200002000%000001.1200000000
Statistiques d’équipe totales ou en moyenne3434417549100137662877617611.85%4065019.1524615140004214173.15%21600052.3000000455
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 Salaire restantPlafond 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
Aku KoskenvuoMilwaukee Admirals (NSH)G232003-02-26FINNo173 Lbs6 ft4NoNoAssign ManuallyNoNo12026-07-20FalseFalsePro & Farm925,000$883,806$0$0$No---------------------------Lien / Lien NHL
Cameron HebigMilwaukee Admirals (NSH)C291997-01-21CANNo184 Lbs5 ft11NoNoFree AgentNoNo12026-07-06FalseFalsePro & Farm812,500$776,316$0$0$No---------------------------Lien / Lien NHL
Carter BergerMilwaukee Admirals (NSH)D261999-09-17CANNo200 Lbs6 ft0NoNoFree AgentNoNo12026-08-03FalseFalsePro & Farm850,000$812,146$0$0$No---------------------------Lien / Lien NHL
Chase PietilaMilwaukee Admirals (NSH)D222004-03-03USANo186 Lbs6 ft2NoNoAssign ManuallyNoNo22026-07-20FalseFalsePro & Farm960,000$917,247$0$0$No960,000$--------960,000$--------No--------Lien / Lien NHL
Dmitri SimashevMilwaukee Admirals (NSH)D212005-02-04RUSNo198 Lbs6 ft4NoNoProspectNoNo22025-10-16FalseFalsePro & Farm950,000$907,692$0$0$No950,000$-----------------No--------Lien / Lien NHL
Jack MatierMilwaukee Admirals (NSH)D232003-04-08CANNo205 Lbs6 ft6NoNoFree AgentNoNo12026-08-03FalseFalsePro & Farm850,000$812,146$0$0$No---------------------------Lien / Lien NHL
Jakub DvorakMilwaukee Admirals (NSH)D212005-05-25CZENo203 Lbs6 ft5NoNoProspectNoNo22025-06-18FalseFalsePro & Farm840,000$802,591$0$0$No840,000$--------840,000$--------No--------Lien / Lien NHL
Jakub MalekMilwaukee Admirals (NSH)G242002-04-11CZENo170 Lbs6 ft4NoNoAssign ManuallyNoNo12026-07-20FalseFalsePro & Farm875,000$836,032$0$0$No---------------------------Lien / Lien NHL
Jayden GrubbeMilwaukee Admirals (NSH)C232003-01-12CANNo200 Lbs6 ft3NoNoFree AgentNoNo12026-08-03FalseFalsePro & Farm850,000$812,146$0$0$No---------------------------Lien
Landon SimMilwaukee Admirals (NSH)RW212004-07-17CANNo166 Lbs5 ft10NoNoAssign ManuallyNoNo22026-07-20FalseFalsePro & Farm955,000$912,470$0$0$No955,000$--------955,000$--------No--------Lien / Lien NHL
Liam FoudyMilwaukee Admirals (NSH)C/LW/RW262000-02-04CANNo186 Lbs6 ft1NoNoN/ANoNo12026-07-06FalseFalsePro & Farm850,000$812,146$0$0$No---------------------------Lien / Lien NHL
Matvey PetrovMilwaukee Admirals (NSH)LW232003-03-12RUSNo178 Lbs6 ft2NoNoFree AgentNoNo12026-08-03FalseFalsePro & Farm850,000$812,146$0$0$No---------------------------Lien / Lien NHL
Nico MyatovicMilwaukee Admirals (NSH)LW212004-12-01CANNo182 Lbs6 ft2NoNoProspectNoNo12025-06-18FalseFalsePro & Farm896,667$856,734$0$0$No---------------------------Lien / Lien NHL
Nicolas BeaudinMilwaukee Admirals (NSH)D261999-10-07CANNo168 Lbs5 ft11NoNoFree AgentNoNo12026-08-03FalseFalsePro & Farm850,000$812,146$0$0$No---------------------------Lien / Lien NHL
Oscar Fisker MolgaardMilwaukee Admirals (NSH)C212005-02-18DNKNo168 Lbs6 ft0NoNoAssign ManuallyNoNo22026-07-20FalseFalsePro & Farm914,166$873,454$0$0$No914,166$--------914,166$--------No--------Lien / Lien NHL
Ruslan KhazheyevMilwaukee Admirals (NSH)G212004-11-20RUSYes201 Lbs6 ft4NoNoAssign ManuallyNoNo12026-07-20FalseFalsePro & Farm920,000$879,028$0$0$No---------------------------Lien
Ryan WintertonMilwaukee Admirals (NSH)C/RW222003-09-04CANNo175 Lbs6 ft2NoNoProspectNoNo22026-07-06FalseFalsePro & Farm1,125,000$1,074,899$0$0$No1,125,000$--------1,125,000$--------No--------Lien / Lien NHL
Shai BuiumMilwaukee Admirals (NSH)D232003-03-26USANo209 Lbs6 ft3NoNoProspectNoNo12025-06-18FalseFalsePro & Farm925,000$883,806$0$0$No---------------------------Lien / Lien NHL
Talyn BoykoMilwaukee Admirals (NSH)G232002-10-16CANNo206 Lbs6 ft6NoNoFree AgentNoNo12026-08-03FalseFalsePro & Farm850,000$812,146$0$0$No---------------------------Lien / Lien NHL
Tanner MolendykMilwaukee Admirals (NSH)D212005-02-03CANNo190 Lbs6 ft0NoNoAssign ManuallyNoNo22026-07-20FalseFalsePro & Farm909,166$868,677$0$0$No909,166$--------909,166$--------No--------Lien / Lien NHL
Vsevolod KomarovMilwaukee Admirals (NSH)D222004-01-11RUSNo182 Lbs6 ft2NoNoProspectNoNo12025-06-18FalseFalsePro & Farm835,000$797,814$0$0$No---------------------------Lien / Lien NHL
Xavier BourgaultMilwaukee Admirals (NSH)RW232002-10-22CANNo185 Lbs5 ft11NoNoFree AgentNoNo12026-08-03FalseFalsePro & Farm850,000$812,146$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2222.95187 Lbs6 ft21.32892,841$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Liam Foudy40122
2Ryan Winterton30122
3Cameron Hebig20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitri Simashev40122
2Shai Buium30122
3Jakub Dvorak20122
4Dmitri Simashev10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Liam Foudy60122
2Ryan Winterton40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitri Simashev60122
2Shai Buium40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Liam Foudy60122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitri Simashev60122
2Shai Buium40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Dmitri Simashev60122
2Liam Foudy40122Shai Buium40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Liam Foudy60122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitri Simashev60122
2Shai Buium40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Liam FoudyDmitri Simashev
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Liam FoudyDmitri Simashev
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cameron Hebig, , Cameron Hebig,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jakub Dvorak, , Shai BuiumJakub Dvorak, Shai Buium
Tirs de pénalité
, Liam Foudy, , ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, Liam Foudy, , , , Cameron Hebig, Ryan Winterton, , ,
Lignes de défense personnalisées en prolongation
, Dmitri Simashev, Shai Buium, , Jakub Dvorak


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
1Iowa Wild1100000010371100000010370000000000021.0001015250018165074102122104029943211100.00%20100.00%011519558.97%6010159.41%609960.61%18214964225332
2Manitoba Moose2200000015312110000009271100000061541.0001523380018165013010212210406220261100.00%10100.00%011519558.97%6010159.41%609960.61%18214964225332
3Rockford IceHogs211000001410400000000000211000001410420.50014213500181650124102122104065174493266.67%20100.00%011519558.97%6010159.41%609960.61%18214964225332
Total541000003916232200000019514321000002011980.80039599800181650328102122104015646101425360.00%50100.00%011519558.97%6010159.41%609960.61%18214964225332
_Since Last GM Reset541000003916232200000019514321000002011980.80039599800181650328102122104015646101425360.00%50100.00%011519558.97%6010159.41%609960.61%18214964225332
_Vs Conference541000003916232200000019514321000002011980.80039599800181650328102122104015646101425360.00%50100.00%011519558.97%6010159.41%609960.61%18214964225332
_Vs Division541000003916232200000019514321000002011980.80039599800181650328102122104015646101425360.00%50100.00%011519558.97%6010159.41%609960.61%18214964225332

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
58W1395998328156461014200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
54100003916
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2200000195
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
32100002011
Derniers 10 matchs
WLOTWOTL SOWSOL
410000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
5360.00%50100.00%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
1021221040181650
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
11519558.97%6010159.41%609960.61%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
18214964225332


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 - 2026-10-041Manitoba Moose2Milwaukee Admirals9WSommaire du match
3 - 2026-10-0615Milwaukee Admirals8Rockford IceHogs3WSommaire du match
4 - 2026-10-0722Milwaukee Admirals6Manitoba Moose1WSommaire du match
7 - 2026-10-1041Milwaukee Admirals6Rockford IceHogs7LSommaire du match
11 - 2026-10-1458Iowa Wild3Milwaukee Admirals10WSommaire du match
14 - 2026-10-1771Milwaukee Admirals-Texas Stars-
17 - 2026-10-2085Colorado Eagles-Milwaukee Admirals-
20 - 2026-10-23100Milwaukee Admirals-Texas Stars-
23 - 2026-10-26115Springfield Thunder Birds-Milwaukee Admirals-
27 - 2026-10-30139Manitoba Moose-Milwaukee Admirals-
30 - 2026-11-02156Milwaukee Admirals-Rockford IceHogs-
32 - 2026-11-04168Abbotsford Canucks-Milwaukee Admirals-
34 - 2026-11-06176Milwaukee Admirals-Manitoba Moose-
36 - 2026-11-08188Milwaukee Admirals-Ontario Reign-
38 - 2026-11-10201Iowa Wild-Milwaukee Admirals-
43 - 2026-11-15226Colorado Eagles-Milwaukee Admirals-
46 - 2026-11-18246Milwaukee Admirals-Springfield Thunder Birds-
48 - 2026-11-20257Rockford IceHogs-Milwaukee Admirals-
53 - 2026-11-25283Laval Rocket-Milwaukee Admirals-
57 - 2026-11-29310Iowa Wild-Milwaukee Admirals-
59 - 2026-12-01325Milwaukee Admirals-Henderson Silver Knights-
61 - 2026-12-03336Lehigh Valley Phantoms-Milwaukee Admirals-
63 - 2026-12-05347Milwaukee Admirals-Stockton Heat-
66 - 2026-12-08360Milwaukee Admirals-Hartford Wolf Pack-
70 - 2026-12-12376San Jose Barracuda-Milwaukee Admirals-
75 - 2026-12-17400Trois-Rivières Lions-Milwaukee Admirals-
78 - 2026-12-20414Milwaukee Admirals-Chicago Wolves-
81 - 2026-12-23429Belleville Senators-Milwaukee Admirals-
83 - 2026-12-25442Milwaukee Admirals-Charlotte Checkers-
87 - 2026-12-29461Colorado Eagles-Milwaukee Admirals-
91 - 2027-01-02478Milwaukee Admirals-Iowa Wild-
92 - 2027-01-03489Charlotte Checkers-Milwaukee Admirals-
95 - 2027-01-06504Milwaukee Admirals-Iowa Wild-
97 - 2027-01-08517Rockford IceHogs-Milwaukee Admirals-
99 - 2027-01-10526Milwaukee Admirals-Rockford IceHogs-
101 - 2027-01-12540Milwaukee Admirals-Bakersfield Condors-
105 - 2027-01-16555Springfield Thunder Birds-Milwaukee Admirals-
109 - 2027-01-20577Abbotsford Canucks-Milwaukee Admirals-
111 - 2027-01-22584Milwaukee Admirals-Ontario Reign-
115 - 2027-01-26608Bridgeport Islanders-Milwaukee Admirals-
121 - 2027-02-01632Milwaukee Admirals-San Jose Barracuda-
123 - 2027-02-03641Ontario Reign-Milwaukee Admirals-
127 - 2027-02-07664Ontario Reign-Milwaukee Admirals-
130 - 2027-02-10678Milwaukee Admirals-Grand Rapids Griffins-
132 - 2027-02-12692Milwaukee Admirals-Belleville Senators-
134 - 2027-02-14699Grand Rapids Griffins-Milwaukee Admirals-
137 - 2027-02-17720Milwaukee Admirals-Rochester Americans-
139 - 2027-02-19725Milwaukee Admirals-Trois-Rivières Lions-
141 - 2027-02-21736Springfield Thunder Birds-Milwaukee Admirals-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
145 - 2027-02-25757Chicago Wolves-Milwaukee Admirals-
151 - 2027-03-03786Toronto Marlies-Milwaukee Admirals-
154 - 2027-03-06799Milwaukee Admirals-Coachella Valley Firebirds-
157 - 2027-03-09815Manitoba Moose-Milwaukee Admirals-
159 - 2027-03-11828Milwaukee Admirals-San Diego Gulls-
162 - 2027-03-14845San Diego Gulls-Milwaukee Admirals-
165 - 2027-03-17862Milwaukee Admirals-Abbotsford Canucks-
167 - 2027-03-19875Hershey Bears-Milwaukee Admirals-
170 - 2027-03-22891Milwaukee Admirals-Colorado Eagles-
173 - 2027-03-25905Texas Stars-Milwaukee Admirals-
178 - 2027-03-30934Providence Bruins-Milwaukee Admirals-
180 - 2027-04-01943Milwaukee Admirals-Texas Stars-
184 - 2027-04-05962Coachella Valley Firebirds-Milwaukee Admirals-
186 - 2027-04-07975Milwaukee Admirals-Bridgeport Islanders-
188 - 2027-04-09988Milwaukee Admirals-Lehigh Valley Phantoms-
189 - 2027-04-10996Stockton Heat-Milwaukee Admirals-
195 - 2027-04-161022Coachella Valley Firebirds-Milwaukee Admirals-
202 - 2027-04-231052Cleveland Monsters-Milwaukee Admirals-
205 - 2027-04-261064Milwaukee Admirals-Manitoba Moose-
208 - 2027-04-291081Henderson Silver Knights-Milwaukee Admirals-
210 - 2027-05-011090Milwaukee Admirals-Laval Rocket-
214 - 2027-05-051111Rochester Americans-Milwaukee Admirals-
215 - 2027-05-061120Milwaukee Admirals-Cleveland Monsters-
217 - 2027-05-081131Milwaukee Admirals-Hershey Bears-
219 - 2027-05-101144Hartford Wolf Pack-Milwaukee Admirals-
220 - 2027-05-111152Milwaukee Admirals-Providence Bruins-
224 - 2027-05-151170Milwaukee Admirals-Colorado Eagles-
225 - 2027-05-161176Texas Stars-Milwaukee Admirals-
233 - 2027-05-241201Milwaukee Admirals-Toronto Marlies-
234 - 2027-05-251205Bakersfield Condors-Milwaukee Admirals-
235 - 2027-05-261207Milwaukee Admirals-Springfield Thunder Birds-
240 - 2027-05-311231Milwaukee Admirals-Syracuse Crunch-
241 - 2027-06-011232Milwaukee Admirals-Toronto Marlies-
242 - 2027-06-021235Milwaukee Admirals-Coachella Valley Firebirds-
244 - 2027-06-041246Syracuse Crunch-Milwaukee Admirals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
40 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
31,308$ 196,426$ 196,426$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
795$ 9,041$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 236 2,820$ 665,520$




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