Milwaukee Admirals
GP: 81 | W: 48 | L: 24 | OTL: 9 | P: 105
GF: 264 | GA: 218 | PP%: 24.92% | PK%: 78.89%
DG: Yann | Morale : 50 | Moyenne d’équipe : 62
Prochains matchs #1308 vs Manitoba Moose
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Centre de jeu
Milwaukee Admirals
48-24-9, 105pts
2
FINAL
3 Calgary Wranglers
47-27-7, 101pts
Team Stats
W1SéquenceW3
26-11-4Fiche domicile22-14-4
22-13-5Fiche domicile25-13-3
5-4-1Derniers 10 matchs5-5-0
3.26Buts par match 3.53
2.69Buts contre par match 3.46
24.92%Pourcentage en avantage numérique19.93%
78.89%Pourcentage en désavantage numérique81.14%
Iowa Wild
47-26-8, 102pts
3
FINAL
5 Milwaukee Admirals
48-24-9, 105pts
Team Stats
L1SéquenceW1
28-11-2Fiche domicile26-11-4
19-15-6Fiche domicile22-13-5
4-5-1Derniers 10 matchs5-4-1
3.56Buts par match 3.26
2.95Buts contre par match 2.69
21.52%Pourcentage en avantage numérique24.92%
78.35%Pourcentage en désavantage numérique78.89%
Milwaukee Admirals
48-24-9, 105pts
2026-02-18
Manitoba Moose
45-29-7, 97pts
Statistiques d’équipe
W1SéquenceL3
26-11-4Fiche domicile23-13-4
22-13-5Fiche visiteur22-16-3
5-4-110 derniers matchs4-5-1
3.26Buts par match 3.16
2.69Buts contre par match 3.16
24.92%Pourcentage en avantage numérique16.36%
78.89%Pourcentage en désavantage numérique80.67%
Meneurs d'équipe
Dmitri VoronkovButs
Dmitri Voronkov
21
Calen AddisonPasses
Calen Addison
56
Calen AddisonPoints
Calen Addison
67
Calen AddisonPlus/Moins
Calen Addison
20
Victoires
Kirill Zarubin
47
Pourcentage d’arrêts
Nikita Tolopilo
0.962

Statistiques d’équipe
Buts pour
264
3.26 GFG
Tirs pour
2786
34.40 Avg
Pourcentage en avantage numérique
24.9%
75 GF
Début de zone offensive
42.4%
Buts contre
218
2.69 GAA
Tirs contre
2428
29.98 Avg
Pourcentage en désavantage numérique
78.9%%
57 GA
Début de la zone défensive
39.7%
Informations de l'équipe

Directeur généralYann
DivisionDivision 5
ConférenceConference 2
CapitaineUrho Vaakanainen
Assistant #1Dmitri Voronkov
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,803
Billets de saison0


Informations de la formation

Équipe Pro28
Équipe Mineure21
Limite contact 49 / 55
Espoirs17


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
1Taylor Raddysh0X99.0079508574737490783762597925727257506702751,750,000$
2Josh Filmon (R)0XX100.005145877866769176626079598157538750660211925,000$
3Alexander Holtz0XX100.0064429482706573723464736425626275506502361,500,000$
4Dmitri Voronkov (A)0XX100.0075588181736575757365746225575771506502562,999,999$
5Jesper Fast0X100.0074449376716290623863577175838718506503321,000,000$
6Callahan Burke0XX100.0073678461659278677965656457464663506202811,000,000$
7Steven Fogarty0XX100.0078787865797680627656646659515135506203211,000,000$
8Radim Zohorna0XXX100.008988756885737663676055605959594850610291700,000$
9Aatu Raty (R)0X100.007066936270838261816060645950507550610225725,000$
10Ben Meyers0XX100.007644927069567761575855672558595950600261700,000$
11Pavol Regenda0XX100.007678736580727660505461646150507050600261700,000$
12Zachary L'Heureux (R)0XX100.005766446770656861786060575749498550580225700,000$
13Calen Addison0X100.0071467183637281842564577225646571506802551,700,000$
14Urho Vaakanainen (C)0X100.0069438978737363682559528625636371506802651,600,069$
15Michael Stone76X100.0077587876796253622551566925777819506403511,500,000$
16Ian Mitchell0X100.0057408277636763642554507725545469506202651,000,000$
17Uvis Balinskis0X100.007644917568646761254748702550505150610296700,000$
18Topias Vilen (R)0X100.007368916371606353255140663848488650580223700,000$
Rayé
1Justin Sourdif (R)0XX100.006361746763676959755857595548487650570234700,000$
2Tristen Robins0XX100.007163916663676856705354615147477750560232700,000$
3Justin Hryckowian (R)0X100.007468876768505050634947614548487650530244700,000$
4Robert Hagg79X100.007272817576586250253941693972724850610301700,000$
5Tyler Kleven (R)0X100.007171807077616651254642644047477750580236700,000$
6Stanislav Svozil (R)0X100.007066886968616351254741603949498550570223700,000$
7Dmitri Samorukov0X100.007569896569747947253741603949497050570262700,000$
MOYENNE D’ÉQUIPE99.96716083717168726248555666435657655061
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
1Kirill Zarubin (R)099.00728273767376587367676648489350670202875,000$
2Nikita Tolopilo0100.006047599571746872756630474772506602512,500,000$
Rayé
1Alexei Kolosov (R)0100.00604759706371646972663048487650620231925,000$
MOYENNE D’ÉQUIPE99.6764596480697463717166424848805065
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
1Calen AddisonMilwaukee Admirals (NSH)D811156672076019911214447967.64%89173721.4551924782390001140000%000000.7700000261
2Dmitri VoronkovMilwaukee Admirals (NSH)C/RW812144651614058172236671818.90%6147818.2561319582420000197354.47%190000000.8800000172
3Bobby McMannNashville PredatorsLW/RW7534316519520240893058220611.15%13135018.017152258220000026248.39%12400000.96040001324
4Ian MitchellMilwaukee Admirals (NSH)D8212385013160657212445799.68%89165620.2061218542060002211100%000000.6000000112
5Urho VaakanainenMilwaukee Admirals (NSH)D811333461148011897161461028.07%103180922.339132286250000053100%000000.5100000013
6Connor DewarNashville PredatorsC/LW43153045232401501171464912210.27%2081218.904711351240000112049.01%106500001.1100000547
7Philip TomasinoNashville PredatorsC/LW/RW43222244244017501482910114.86%279518.5124623124000007332.26%6200001.1125000642
8Josh FilmonMilwaukee Admirals (NSH)LW/RW70202343800579244641578.20%10126218.04781542205000006249.56%22800000.6801000210
9Taylor RaddyshMilwaukee Admirals (NSH)RW81152641224098125205521477.32%14135716.75710174316002292582134.12%8500000.6000000213
10Kevin KorchinskiNashville PredatorsD42932413180836570233912.86%4894522.5159143413000016300%000000.8700000342
11Pavel DorofeyevNashville PredatorsLW/RW4416223822006601464211410.96%882518.7735817127000081028.81%5900100.9225000122
12Alexander HoltzMilwaukee Admirals (NSH)LW/RW47161733640853153478810.46%287418.615510291480000202037.70%6100010.7500000132
13Jesper FastMilwaukee Admirals (NSH)RW3891423160414779186211.39%758315.37461013117000000135.00%4000000.7900000102
14Uvis BalinskisMilwaukee Admirals (NSH)D81221233400115585319493.77%99140517.36000190110212000%000000.3300000110
15Callahan BurkeMilwaukee Admirals (NSH)C/RW81131023-128092178117328511.11%14134916.6622495620232812154.17%176300000.3400000020
16Michael StoneMilwaukee Admirals (NSH)D814172111480183466817345.88%98144617.861235400001201100%000000.2900000121
17Steven FogartyMilwaukee Admirals (NSH)C/RW8141014434084726927665.80%694411.670000001141181154.11%47500000.3013000010
18Ben MeyersMilwaukee Admirals (NSH)C/LW764812-1916025617516465.33%76989.19000290003561048.24%8500000.3400000001
19Aatu RatyMilwaukee Admirals (NSH)C816511-15805927122568.45%107859.700000010191260155.47%89600000.2800000013
20Radim ZohornaMilwaukee Admirals (NSH)C/LW/RW685510152092406311427.94%66229.15000011000011053.33%4500000.3213000120
21Topias VilenMilwaukee Admirals (NSH)D39358-41005123165618.75%3265216.7300001000084100%000000.2500000020
22Pavol RegendaMilwaukee Admirals (NSH)LW/RW19123-84024623794.35%11769.31101422000000031.25%1600000.3400000010
23Zachary L'HeureuxMilwaukee Admirals (NSH)C/LW6101-10072100410.00%0589.760000000000000%400000.3400000000
Statistiques d’équipe totales ou en moyenne1421256471727139526017661716272676718919.39%6842363216.63741302045912448347331817451552.29%690800110.62621000414837
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
1Kirill ZarubinMilwaukee Admirals (NSH)80472490.9122.6348332421224000520.66721801707
2Nikita TolopiloMilwaukee Admirals (NSH)11000.9621.00600012600000180000
Statistiques d’équipe totales ou en moyenne81482490.9122.614893242132426052218181707


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer 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)C222002-11-14FINYes191 Lbs6 ft2NoNoAssign ManuallyNoNo52024-12-29FalseFalsePro & Farm725,000$0$0$No725,000$725,000$725,000$725,000$-----725,000$725,000$725,000$725,000$-----NoNoNoNo-----Lien
Alexander HoltzMilwaukee Admirals (NSH)LW/RW232002-01-23SWENo196 Lbs6 ft0NoNoTrade2025-09-14NoNo62025-07-27FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$1,500,000$1,500,000$1,500,000$----1,500,000$1,500,000$1,500,000$1,500,000$1,500,000$----NoNoNoNoNo----Lien / Lien NHL
Alexei KolosovMilwaukee Admirals (NSH)G232002-01-04BELYes191 Lbs6 ft1NoNoAssign ManuallyNoNo12024-04-21FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Ben MeyersMilwaukee Admirals (NSH)C/LW261998-11-15USANo200 Lbs5 ft11NoNoAssign ManuallyNoNo12024-12-29FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Calen AddisonMilwaukee Admirals (NSH)D252000-04-10MANNo180 Lbs5 ft10NoNoAssign ManuallyNoNo52024-12-29FalseFalsePro & Farm1,700,000$0$0$No1,700,000$1,700,000$1,700,000$1,700,000$-----1,700,000$1,700,000$1,700,000$1,700,000$-----NoNoNoNo-----Lien / Lien NHL
Callahan BurkeMilwaukee Admirals (NSH)C/RW281997-05-19USANo183 Lbs5 ft10NoNoAssign ManuallyNoNo12025-08-30FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Dmitri SamorukovMilwaukee Admirals (NSH)D261999-06-16RUSNo187 Lbs6 ft2NoNoAssign ManuallyNoNo22025-08-29FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Dmitri VoronkovMilwaukee Admirals (NSH)C/RW252000-09-10RUSNo196 Lbs6 ft4NoNoAssign ManuallyNoNo62025-08-29FalseFalsePro & Farm2,999,999$0$0$No2,999,999$2,999,999$2,999,999$2,999,999$2,999,999$----2,999,999$2,999,999$2,999,999$2,999,999$2,999,999$----NoNoNoNoNo----Lien / Lien NHL
Ian MitchellMilwaukee Admirals (NSH)D261999-01-18ABNo178 Lbs5 ft11NoNoTrade2025-09-14NoNo52025-01-15FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$1,000,000$1,000,000$-----1,000,000$1,000,000$1,000,000$1,000,000$-----NoNoNoNo-----Lien / Lien NHL
Jesper FastMilwaukee Admirals (NSH)RW331991-12-02SWENo195 Lbs6 ft1NoNoAssign Manually2025-01-12NoNo22025-08-30FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Josh FilmonMilwaukee Admirals (NSH)LW/RW212004-03-18CANYes178 Lbs6 ft3NoNoTrade2025-01-05NoNo12024-08-14FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Justin HryckowianMilwaukee Admirals (NSH)C242001-02-23QUEYes198 Lbs5 ft10NoNoAssign ManuallyNoNo42026-01-22FalseFalsePro & Farm700,000$0$0$No700,000$700,000$700,000$------700,000$700,000$700,000$------NoNoNo------Lien
Justin SourdifMilwaukee Admirals (NSH)C/RW232002-03-24BCYes178 Lbs5 ft11NoNoAssign ManuallyNoNo42025-07-27FalseFalsePro & Farm700,000$0$0$No700,000$700,000$700,000$------700,000$700,000$700,000$------NoNoNo------Lien
Kirill ZarubinMilwaukee Admirals (NSH)G202005-07-20RUSYes211 Lbs6 ft4NoNoAssign ManuallyNoNo22025-01-10FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Lien
Michael StoneMilwaukee Admirals (NSH)D351990-06-07MBNo212 Lbs6 ft3NoNoAssign ManuallyNoNo12025-08-30FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Nikita TolopiloMilwaukee Admirals (NSH)G252000-04-06BELNo235 Lbs6 ft6NoNoAssign ManuallyNoNo12025-08-29FalseFalsePro & Farm2,500,000$0$0$No---------------------------Lien
Pavol RegendaMilwaukee Admirals (NSH)LW/RW261999-07-12SVKNo224 Lbs6 ft3NoNoAssign ManuallyNoNo12024-12-29FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Radim ZohornaMilwaukee Admirals (NSH)C/LW/RW291996-04-29CZENo224 Lbs6 ft6NoNoAssign ManuallyNoNo12024-12-29FalseFalsePro & Farm700,000$0$0$No---------------------------Lien / Lien NHL
Robert HaggMilwaukee Admirals (NSH)D301995-02-08SWENo207 Lbs6 ft2NoNoAssign Manually2024-11-10NoNo12025-08-30FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Stanislav SvozilMilwaukee Admirals (NSH)D222003-01-17CZEYes185 Lbs6 ft1NoNoAssign ManuallyNoNo32024-12-29FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien
Steven FogartyMilwaukee Admirals (NSH)C/RW321993-04-19USANo211 Lbs6 ft3NoNoAssign ManuallyNoNo12025-08-31FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Taylor RaddyshMilwaukee Admirals (NSH)RW271998-02-18CANNo201 Lbs6 ft2NoNoTrade2025-01-12NoNo52024-12-29FalseFalsePro & Farm1,750,000$0$0$No1,750,000$1,750,000$1,750,000$1,750,000$-----1,750,000$1,750,000$1,750,000$1,750,000$-----NoNoNoNo-----Lien / Lien NHL
Topias VilenMilwaukee Admirals (NSH)D222003-04-01FINYes196 Lbs6 ft1NoNoAssign ManuallyNoNo32024-12-29FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien
Tristen RobinsMilwaukee Admirals (NSH)C/RW232001-11-15SKWNo184 Lbs5 ft10NoNoAssign ManuallyNoNo22024-12-29FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Tyler KlevenMilwaukee Admirals (NSH)D232002-01-10USAYes204 Lbs6 ft4NoNoAssign ManuallyNoNo62025-07-27FalseFalsePro & Farm700,000$0$0$No700,000$700,000$700,000$700,000$700,000$----700,000$700,000$700,000$700,000$700,000$----NoNoNoNoNo----Lien / Lien NHL
Urho VaakanainenMilwaukee Admirals (NSH)D261999-01-01FINNo198 Lbs6 ft2NoNoTrade2025-01-06NoNo52024-12-29FalseFalsePro & Farm1,600,069$0$0$No1,600,069$1,600,069$1,600,069$1,600,069$-----1,600,069$1,600,069$1,600,069$1,600,069$-----NoNoNoNo-----Lien / Lien NHL
Uvis BalinskisMilwaukee Admirals (NSH)D291996-08-01LATNo189 Lbs6 ft0NoNoAssign ManuallyNoNo62025-08-29FalseFalsePro & Farm700,000$0$0$No700,000$700,000$700,000$700,000$700,000$----700,000$700,000$700,000$700,000$700,000$----NoNoNoNoNo----Lien / Lien NHL
Zachary L'HeureuxMilwaukee Admirals (NSH)C/LW222003-05-15QUEYes200 Lbs5 ft11NoNoAssign ManuallyNoNo52024-12-29FalseFalsePro & Farm700,000$0$0$No700,000$700,000$700,000$700,000$-----700,000$700,000$700,000$700,000$-----NoNoNoNo-----Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2825.57198 Lbs6 ft13.071,075,002$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Josh FilmonDmitri VoronkovAlexander Holtz33104
2Radim ZohornaCallahan BurkeTaylor Raddysh32104
3Zachary L'HeureuxSteven FogartyJesper Fast20122
4Ben MeyersAatu RatyPavol Regenda15221
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian MitchellCalen Addison30122
2Michael StoneUrho Vaakanainen30122
3Uvis BalinskisTopias Vilen25122
4Urho VaakanainenCalen Addison15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander HoltzDmitri VoronkovJosh Filmon75104
2Pavol RegendaCallahan BurkeJesper Fast25104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonUrho Vaakanainen60104
2Taylor RaddyshIan Mitchell40104
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Callahan BurkeTaylor Raddysh60131
2Aatu RatySteven Fogarty40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael StoneUvis Balinskis60140
2Ian MitchellTopias Vilen40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Callahan Burke60140Michael StoneUvis Balinskis60140
2Steven Fogarty40140Ian MitchellTopias Vilen40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dmitri VoronkovAlexander Holtz60122
2Josh FilmonTaylor Raddysh40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho VaakanainenCalen Addison60122
2Ian MitchellMichael Stone40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Josh FilmonDmitri VoronkovAlexander HoltzUrho VaakanainenCalen Addison
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Josh FilmonDmitri VoronkovAlexander HoltzUrho VaakanainenCalen Addison
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Taylor Raddysh, Alexander Holtz, Josh FilmonTaylor Raddysh, Josh FilmonBen Meyers
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Urho Vaakanainen, Calen Addison, Ian MitchellMichael StoneIan Mitchell, Uvis Balinskis
Tirs de pénalité
Zachary L'Heureux, Josh Filmon, Alexander Holtz, Dmitri Voronkov, Taylor Raddysh
Gardien
#1 : Kirill Zarubin, #2 : Nikita Tolopilo
Lignes d’attaque personnalisées en prolongation
Dmitri Voronkov, Alexander Holtz, Josh Filmon, Taylor Raddysh, Callahan Burke, Jesper Fast, Jesper Fast, Steven Fogarty, Zachary L'Heureux, Aatu Raty, Pavol Regenda
Lignes de défense personnalisées en prolongation
Calen Addison, Urho Vaakanainen, Ian Mitchell, Michael Stone, Topias Vilen


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
1Abbotsford Canucks4210010015114211000008532100010076150.62515274201988474121459179259075810837247812325.00%12283.33%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
2Bakersfield Condors220000001046110000006241100000042241.000101929009884741287917925907585011123510550.00%60100.00%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
3Belleville Senators21001000862100010004311100000043141.0008142200988474126691792590758732010526116.67%50100.00%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
4Bridgeport Islanders210000017611000000134-11100000042230.7507132000988474127891792590758541716463266.67%8187.50%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
5Calgary Wranglers20001100440100010002111000010023-130.750481200988474126591792590758632210367228.57%50100.00%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
6Charlotte Checkers220000001046110000005321100000051441.00010172700988474127391792590758691912459555.56%60100.00%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
7Chicago Wolves413000001115-42020000048-42110000077020.25011223310988474121389179259075813628307919315.79%15566.67%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
8Cleveland Monsters22000000707110000002021100000050541.0007132002988474128491792590758451684512216.67%40100.00%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
9Coachella Valley Firebirds5500000021101133000000137622000000835101.000213960009884741216391792590758170543811215640.00%19289.47%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
10Colorado Eagles2020000027-51010000013-21010000014-300.00024600988474125491792590758511818349111.11%9455.56%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
11Grand Rapids Griffins20200000710-31010000034-11010000046-200.0007111800988474128991792590758581463313215.38%30100.00%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
12Hartford Wolf Pack220000001046110000004311100000061541.000101929009884741276917925907584110104510440.00%50100.00%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
13Henderson Silver Knights210000101073110000004221000001065141.00010152500988474126691792590758802424525240.00%12283.33%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
14Hershey Bears2110000045-1110000003121010000014-320.500481200988474126491792590758451164310110.00%30100.00%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
15Iowa Wild220000001156110000005321100000062441.0001118290098847412739179259075860248637228.57%4175.00%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
16Laval Rocket210001009811000010045-11100000053230.75091625009884741283917925907586616124210330.00%6183.33%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
17Lehigh Valley Phantoms2110000057-21010000015-41100000042220.5005101500988474126391792590758601618583133.33%9188.89%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
18Manitoba Moose2010100056-1100010003211010000024-220.5005101500988474129291792590758591012439111.11%6183.33%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
19Ontario Reign210000014401000000112-11100000032130.75046100098847412509179259075860122236400.00%11190.91%21577292753.88%1441273552.69%624123550.53%2031141718315891040529
20Providence Bruins321000009902110000056-11100000043140.66791524109884741285917925907587612186810440.00%9366.67%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
21Rochester Americans3100020010100210001006511000010045-140.667102030009884741298917925907589424225914428.57%11463.64%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
22Rockford IceHogs523000001012-2321000009632020000016-540.400101929009884741215191792590758162464411318422.22%22672.73%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
23San Diego Gulls421001001192110000005413110010065150.62511203100988474121389179259075813543329715320.00%16475.00%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
24San Jose Barracuda2020000025-31010000013-21010000012-100.00024600988474124991792590758591322366233.33%11281.82%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
25Springfield Thunderbirds51102001171343100200013672010000147-370.700173148019884741220591792590758150572812726726.92%14378.57%11577292753.88%1441273552.69%624123550.53%2031141718315891040529
26Syracuse Crunch21000010734110000004131000001032141.0007101700988474127591792590758581410535120.00%5260.00%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
27Texas Stars31200000710-3110000004222020000038-520.33371320009884741293917925907589126149310110.00%7357.14%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
28Toronto Marlies3210000011831010000012-122000000106440.6671122330098847412819179259075894332065400.00%10550.00%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
29Tucson Roadrunners220000001055110000005231100000053241.000101929009884741285917925907584398458225.00%4175.00%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
30Utica Comets2010100057-21010000025-31000100032120.500510150098847412579179259075868171251500.00%60100.00%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
31Wilkes-Barre/Scranton Penguins21100000541110000004221010000012-120.500591400988474126091792590758501114387114.29%7357.14%01577292753.88%1441273552.69%624123550.53%2031141718315891040529
Total8140240662326421846412111052021351072840191301421129111181050.6482644817452498847412278691792590758242868454018223017524.92%2705778.89%31577292753.88%1441273552.69%624123550.53%2031141718315891040529
_Since Last GM Reset8140240662326421846412111052021351072840191301421129111181050.6482644817452498847412278691792590758242868454018223017524.92%2705778.89%31577292753.88%1441273552.69%624123550.53%2031141718315891040529
_Vs Conference46221503501155131242412703200846222221080030171692560.6091552864411298847412159891792590758142242929810141834826.23%1493675.84%11577292753.88%1441273552.69%624123550.53%2031141718315891040529
_Vs Division231180210177542311740200040261412440010137289280.60977138215019884741276391792590758725216184482742331.08%921385.87%21577292753.88%1441273552.69%624123550.53%2031141718315891040529

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
81105W126448174527862428684540182224
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8140246623264218
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4121115202135107
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4019131421129111
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3017524.92%2705778.89%3
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
9179259075898847412
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
1577292753.88%1441273552.69%624123550.53%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2031141718315891040529


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 - 2025-09-117Springfield Thunderbirds2Milwaukee Admirals3WXSommaire du match
3 - 2025-09-1328Milwaukee Admirals7Toronto Marlies4WSommaire du match
4 - 2025-09-1440Milwaukee Admirals4Springfield Thunderbirds5LXXSommaire du match
6 - 2025-09-1650Coachella Valley Firebirds3Milwaukee Admirals4WSommaire du match
8 - 2025-09-1870Milwaukee Admirals4San Diego Gulls1WSommaire du match
10 - 2025-09-2088Rockford IceHogs4Milwaukee Admirals2LSommaire du match
13 - 2025-09-23107Milwaukee Admirals4Chicago Wolves6LSommaire du match
15 - 2025-09-25120Chicago Wolves5Milwaukee Admirals2LSommaire du match
17 - 2025-09-27133Milwaukee Admirals1San Diego Gulls2LSommaire du match
19 - 2025-09-29153Rochester Americans1Milwaukee Admirals3WSommaire du match
22 - 2025-10-02172Rockford IceHogs1Milwaukee Admirals3WSommaire du match
24 - 2025-10-04187Milwaukee Admirals5Abbotsford Canucks3WSommaire du match
26 - 2025-10-06205Abbotsford Canucks0Milwaukee Admirals4WSommaire du match
28 - 2025-10-08222Milwaukee Admirals0Rockford IceHogs4LSommaire du match
30 - 2025-10-10236Coachella Valley Firebirds2Milwaukee Admirals5WSommaire du match
33 - 2025-10-13257Springfield Thunderbirds4Milwaukee Admirals5WXSommaire du match
35 - 2025-10-15270Milwaukee Admirals5Cleveland Monsters0WSommaire du match
37 - 2025-10-17289Milwaukee Admirals3Chicago Wolves1WSommaire du match
38 - 2025-10-18299Syracuse Crunch1Milwaukee Admirals4WSommaire du match
41 - 2025-10-21321Coachella Valley Firebirds2Milwaukee Admirals4WSommaire du match
42 - 2025-10-22337Milwaukee Admirals3Syracuse Crunch2WXXSommaire du match
44 - 2025-10-24350Milwaukee Admirals4Lehigh Valley Phantoms2WSommaire du match
46 - 2025-10-26364Rochester Americans4Milwaukee Admirals3LXSommaire du match
48 - 2025-10-28384Chicago Wolves3Milwaukee Admirals2LSommaire du match
49 - 2025-10-29393Milwaukee Admirals6Hartford Wolf Pack1WSommaire du match
51 - 2025-10-31415Milwaukee Admirals0Springfield Thunderbirds2LSommaire du match
53 - 2025-11-02431Henderson Silver Knights2Milwaukee Admirals4WSommaire du match
55 - 2025-11-04449Milwaukee Admirals6Henderson Silver Knights5WXXSommaire du match
57 - 2025-11-06462Lehigh Valley Phantoms5Milwaukee Admirals1LSommaire du match
59 - 2025-11-08481Milwaukee Admirals1Hershey Bears4LSommaire du match
60 - 2025-11-09490Bridgeport Islanders4Milwaukee Admirals3LXXSommaire du match
62 - 2025-11-11513Hershey Bears1Milwaukee Admirals3WSommaire du match
64 - 2025-11-13526Milwaukee Admirals3Toronto Marlies2WSommaire du match
66 - 2025-11-15541Milwaukee Admirals1Rockford IceHogs2LSommaire du match
68 - 2025-11-17555Ontario Reign2Milwaukee Admirals1LXXSommaire du match
70 - 2025-11-19576Milwaukee Admirals2Abbotsford Canucks3LXSommaire du match
71 - 2025-11-20584Milwaukee Admirals6Iowa Wild2WSommaire du match
73 - 2025-11-22600Laval Rocket5Milwaukee Admirals4LXSommaire du match
76 - 2025-11-25621San Diego Gulls4Milwaukee Admirals5WSommaire du match
78 - 2025-11-27645Springfield Thunderbirds0Milwaukee Admirals5WSommaire du match
80 - 2025-11-29657Milwaukee Admirals3Utica Comets2WXSommaire du match
82 - 2025-12-01680Utica Comets5Milwaukee Admirals2LSommaire du match
85 - 2025-12-04701Milwaukee Admirals5Tucson Roadrunners3WSommaire du match
86 - 2025-12-05713Bakersfield Condors2Milwaukee Admirals6WSommaire du match
89 - 2025-12-08734Milwaukee Admirals1San Jose Barracuda2LSommaire du match
90 - 2025-12-09744Belleville Senators3Milwaukee Admirals4WXSommaire du match
93 - 2025-12-12763Milwaukee Admirals6Coachella Valley Firebirds2WSommaire du match
94 - 2025-12-13776Calgary Wranglers1Milwaukee Admirals2WXSommaire du match
97 - 2025-12-16792Milwaukee Admirals4Rochester Americans5LXSommaire du match
99 - 2025-12-18808Tucson Roadrunners2Milwaukee Admirals5WSommaire du match
100 - 2025-12-19825Milwaukee Admirals4Grand Rapids Griffins6LSommaire du match
102 - 2025-12-21841Milwaukee Admirals5Laval Rocket3WSommaire du match
103 - 2025-12-22848Colorado Eagles3Milwaukee Admirals1LSommaire du match
106 - 2025-12-25867Milwaukee Admirals1Wilkes-Barre/Scranton Penguins2LSommaire du match
107 - 2025-12-26879San Jose Barracuda3Milwaukee Admirals1LSommaire du match
109 - 2025-12-28901Wilkes-Barre/Scranton Penguins2Milwaukee Admirals4WSommaire du match
111 - 2025-12-30922Milwaukee Admirals4Bakersfield Condors2WSommaire du match
113 - 2026-01-01936Rockford IceHogs1Milwaukee Admirals4WSommaire du match
115 - 2026-01-03949Milwaukee Admirals3Ontario Reign2WSommaire du match
118 - 2026-01-06967Milwaukee Admirals4Providence Bruins3WSommaire du match
119 - 2026-01-07978Cleveland Monsters0Milwaukee Admirals2WSommaire du match
121 - 2026-01-09997Hartford Wolf Pack3Milwaukee Admirals4WSommaire du match
124 - 2026-01-121017Milwaukee Admirals4Bridgeport Islanders2WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
125 - 2026-01-131029Texas Stars2Milwaukee Admirals4WSommaire du match
127 - 2026-01-151045Milwaukee Admirals4Belleville Senators3WSommaire du match
130 - 2026-01-181062Charlotte Checkers3Milwaukee Admirals5WSommaire du match
132 - 2026-01-201084Milwaukee Admirals1San Diego Gulls2LXSommaire du match
133 - 2026-01-211094Milwaukee Admirals1Texas Stars3LSommaire du match
134 - 2026-01-221103Abbotsford Canucks5Milwaukee Admirals4LSommaire du match
137 - 2026-01-251126Grand Rapids Griffins4Milwaukee Admirals3LSommaire du match
139 - 2026-01-271142Milwaukee Admirals1Colorado Eagles4LSommaire du match
141 - 2026-01-291157Providence Bruins5Milwaukee Admirals3LSommaire du match
142 - 2026-01-301163Milwaukee Admirals2Coachella Valley Firebirds1WSommaire du match
144 - 2026-02-011188Providence Bruins1Milwaukee Admirals2WSommaire du match
146 - 2026-02-031204Milwaukee Admirals2Texas Stars5LSommaire du match
148 - 2026-02-051221Manitoba Moose2Milwaukee Admirals3WXSommaire du match
150 - 2026-02-071230Milwaukee Admirals5Charlotte Checkers1WSommaire du match
151 - 2026-02-081237Milwaukee Admirals2Manitoba Moose4LSommaire du match
154 - 2026-02-111259Toronto Marlies2Milwaukee Admirals1LSommaire du match
157 - 2026-02-141280Milwaukee Admirals2Calgary Wranglers3LXSommaire du match
158 - 2026-02-151292Iowa Wild3Milwaukee Admirals5WSommaire du match
161 - 2026-02-181308Milwaukee Admirals-Manitoba Moose-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance77,03137,890
Assistance PCT93.94%92.41%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2803 - 93.43% 40,606$1,664,862$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
34,667,814$ 30,100,068$ 30,100,068$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 34,667,814$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 3 185,803$ 557,409$




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