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PACIFIC
CENTRAL
METROPOLITAN
ATLANTIC
Connexion
Milwaukee Admirals
GP: 6 | W: 2 | L: 4
GF: 18 | GA: 21 | PP%: 25.00% | PK%: 75.00%
DG: Emil Gilliusson | Morale : 35 | Moyenne d’équipe : 54
Centre de jeu
Milwaukee Admirals
2-4-0, 4pts
3
5 Iowa Wild
8-9-0, 16pts
Team Stats
L2SéquenceL4
2-1-0Fiche domicile5-4-0
0-3-0Fiche domicile3-5-0
2-4-0Derniers 10 matchs4-6-0
3.00Buts par match 3.18
3.50Buts contre par match 3.35
25.00%Pourcentage en avantage numérique23.68%
75.00%Pourcentage en désavantage numérique76.40%
Iowa Wild
8-9-0, 16pts
2
1 Milwaukee Admirals
2-4-0, 4pts
Team Stats
L4SéquenceL2
5-4-0Fiche domicile2-1-0
3-5-0Fiche domicile0-3-0
4-6-0Derniers 10 matchs2-4-0
3.18Buts par match 3.00
3.35Buts contre par match 3.50
23.68%Pourcentage en avantage numérique25.00%
76.40%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Hudson FaschingButs
Hudson Fasching
3
Hudson FaschingPasses
Hudson Fasching
5
Hudson FaschingPoints
Hudson Fasching
8
Ryan UfkoPlus/Moins
Ryan Ufko
2
Matt MurrayVictoires
Matt Murray
2
Matt MurrayPourcentage d’arrêts
Matt Murray
0.847

Statistiques d’équipe
Buts pour
18
3.00 GFG
Tirs pour
169
28.17 Avg
Pourcentage en avantage numérique
25.0%
7 GF
Début de zone offensive
42.5%
Buts contre
21
3.50 GAA
Tirs contre
140
23.33 Avg
Pourcentage en désavantage numérique
75.0%%
5 GA
Début de la zone défensive
35.1%
Informations de l'équipe

Directeur généralEmil Gilliusson
EntraîneurJeff Blashill
DivisionCentral
ConférenceWestern Conference
CapitaineCal O'Reilly
Assistant #1
Assistant #2Travis Boyd


Informations de l’aréna

Capacité7,500
Assistance7,231
Billets de saison750


Informations de la formation

Équipe Pro29
Équipe Mineure19
Limite contact 48 / 60
Espoirs26


Historique d'équipe

Saison actuelle2-4
Historique215-105-38 (0.601%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)31 - 25 (0.554%)
Coupe Stanley1


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
1Hudson Fasching0X100.00744093667564747325596568425357028630291775,000$
2Owen Beck (R)0X100.0079559959796183657560596437434506460X0212853,333$
3Andreas Athanasiou0XX100.00645587626150646770636361395852075580301975,000$
4Travis Boyd (A)0XX100.00623591625950816770626257396053075570311975,000$
5Cal O'Reilly (C)90X100.00593597586050836675645165347661075570381800,000$
6Rocco Grimaldi0XX100.00603491615350826565656056386254068560322975,000$
7Mitch McLain0XX100.00715881556150786170535863376254075560311975,000$
8Brett Seney0XX100.00665683585550786370625558365450076550291975,000$
9Simon Robertsson (R)0X100.0063358957605062642555576437444407555X0222867,500$
10Tristan Allard0X100.00695785536250726075525365354545063540232975,000$
11Milo Roelens0XX100.00745883517050675870475364354444033540222800,000$
12Rafael Harvey-Pinard0XX100.00613591545650696125575160344847075530261975,000$
13William Lagesson6X100.00705785596350615825524972355651038570292775,000$
14Matt Kiersted34X100.00645587595950815525564475335249061560272975,000$
15Matt Benning0X100.00685787546250695225494270325852076540311875,000$
16Dysin Mayo61X100.00706179566050785625495064355450072540281900,000$
17Domenick Fensore0X100.00585287605150825825555064354545030530231975,000$
18Ryan Ufko (R)0X100.00573495595850855825534867344343070530222925,000$
Rayé
1Cole Guttman0X100.00583389605650856575606254394847066550262875,000$
2Daniel D'Amato33X100.00635487535950785925505562364545030530241775,000$
3Lucas Edmonds0XX100.00633691516050695825505060344646020520241900,000$
4Alexander Campbell (R)0X100.00562999515750585725525060344646020510241900,000$
5Navrin Mutter0X100.00747173466350695125484561324545020510241775,000$
6Justin Gill (R)0X100.00655587476050665275504553324444020490221800,000$
7Jack Matier51X100.00643691536450695125484270324343020520221801,667$
MOYENNE D’ÉQUIPE100.0065478856615174604655536335514805355
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
1Matt Murray30100.0061524581616063656466576867024590311950,000$
2Chris Driedger60100.0055534580535252515257505852053500311950,000$
Rayé
1Ethan Haider (R)0100.0051454079544451575054504646022480231975,000$
2Henrik Tikkanen0100.0054554683445149455254504847022470241975,000$
MOYENNE D’ÉQUIPE100.005551448153525455555852555303051
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Blashill6769727179721USA5122,000,000$


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
1Hudson FaschingMilwaukee Admirals (NAS)RW6358-120692611111.54%013021.792358250000210011.11%900001.2200000000
2Owen BeckMilwaukee Admirals (NAS)C63470201171851116.67%010617.76224825000000050.76%13200001.3100000000
3Rocco GrimaldiMilwaukee Admirals (NAS)LW/RW6224-10018123516.67%09415.69011222000000066.67%600000.8500000000
4Cal O'ReillyMilwaukee Admirals (NAS)C6044-10011878130%011118.630110220000190060.13%15300000.7200000000
5Dysin MayoMilwaukee Admirals (NAS)D6123-14012241125.00%310417.3801111100003000%000000.5800000010
6Domenick FensoreMilwaukee Admirals (NAS)D6033160533130%312921.57000118000010000%000000.4600000001
7Travis BoydMilwaukee Admirals (NAS)C/RW6033-22026172150%110717.870113240000100070.00%1000000.5600000000
8Rafael Harvey-PinardMilwaukee Admirals (NAS)LW/RW6123-1004823950.00%08614.44011014000000050.00%600000.6900000000
9Mitch McLainMilwaukee Admirals (NAS)C/LW6303-220621851216.67%08213.79202820000001025.00%800000.7200000010
10Ryan UfkoMilwaukee Admirals (NAS)D6033220468220%1013422.36000419000013000%000000.4500000100
11Matt BenningMilwaukee Admirals (NAS)D61120804532633.33%79916.540000500007000%000000.4000000000
12Tristan AllardMilwaukee Admirals (NAS)C6112-12071165116.67%17512.5400000000041053.25%7700000.5300000000
13Simon RobertssonMilwaukee Admirals (NAS)RW6022-200319050%16611.060221100000000%200000.6000000000
14William LagessonMilwaukee Admirals (NAS)D6101-66012421550.00%811118.6000001000013000%000000.1800000000
15Brett SeneyMilwaukee Admirals (NAS)C/LW6101-12075102910.00%08814.6900015000090066.67%600000.2300000000
16Andreas AthanasiouMilwaukee Admirals (NAS)C/LW6101-1402218595.56%010918.28101625000040070.00%1000000.1800000000
17Milo RoelensMilwaukee Admirals (NAS)C/LW6000-275593020%26410.7000000000000042.86%630000000001000
18Matt KierstedMilwaukee Admirals (NAS)D6000-6006103010%1211519.2700000000018000%00000000000000
Statistiques d’équipe totales ou en moyenne108183250-25495981161694612010.65%48181716.83712194324500001382052.90%48200000.5500001121
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
1Matt MurrayMilwaukee Admirals (NAS)62300.8473.4831000181180010060000
2Chris DriedgerMilwaukee Admirals (NAS)20100.9052.0758002210000006000
Statistiques d’équipe totales ou en moyenne82400.8563.253690020139001066000


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 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
Alexander CampbellMilwaukee Admirals (NAS)LW242001-02-27CANYes176 Lbs5 ft10NoNoFree AgentNoNo12025-10-04FalseFalsePro & Farm900,000$91,837$0$0$No---------------------------Lien
Andreas AthanasiouMilwaukee Admirals (NAS)C/LW301994-08-06CANNo190 Lbs6 ft2NoNoAssign Manually2024-08-29NoNo12025-08-22FalseFalsePro & Farm975,000$99,490$0$0$No---------------------------Lien / Lien NHL
Brett SeneyMilwaukee Admirals (NAS)C/LW291996-02-28CANNo174 Lbs5 ft9NoNoAssign Manually2025-03-09NoNo12025-08-24FalseFalsePro & Farm975,000$99,490$0$0$No---------------------------Lien / Lien NHL
Cal O'ReillyMilwaukee Admirals (NAS)C381986-09-30CANNo187 Lbs6 ft0NoNoAssign ManuallyNoNo12024-08-23FalseFalsePro & Farm800,000$81,633$0$0$No---------------------------Lien / Lien NHL
Chris DriedgerMilwaukee Admirals (NAS)G311994-05-18CANNo205 Lbs6 ft4NoNoAssign ManuallyNoNo12025-08-23FalseFalsePro & Farm950,000$96,939$0$0$No---------------------------Lien / Lien NHL
Cole GuttmanMilwaukee Admirals (NAS)C261999-04-06USANo163 Lbs5 ft10NoNoAssign ManuallyNoNo22025-08-22FalseFalsePro & Farm875,000$89,286$0$0$No875,000$--------875,000$--------No--------Lien / Lien NHL
Daniel D'AmatoMilwaukee Admirals (NAS)RW242001-04-08CANNo176 Lbs6 ft1NoNoFree AgentNoNo12024-02-15FalseFalsePro & Farm775,000$79,082$0$0$No---------------------------Lien / Lien NHL
Domenick FensoreMilwaukee Admirals (NAS)D232001-09-07USANo151 Lbs5 ft7NoNoAssign ManuallyNoNo12025-08-22FalseFalsePro & Farm975,000$99,490$0$0$No---------------------------Lien / Lien NHL
Dysin MayoMilwaukee Admirals (NAS)D281996-08-17CANNo185 Lbs6 ft0NoNoAssign ManuallyNoNo12025-08-22FalseFalsePro & Farm900,000$91,837$0$0$No---------------------------Lien / Lien NHL
Ethan HaiderMilwaukee Admirals (NAS)G232001-09-04USAYes190 Lbs6 ft4NoNoAssign ManuallyNoNo12025-08-23FalseFalsePro & Farm975,000$99,490$0$0$No---------------------------Lien / Lien NHL
Henrik TikkanenMilwaukee Admirals (NAS)G242000-09-28FINNo201 Lbs6 ft7NoNoTrade2025-12-17NoNo12024-08-23FalseFalsePro & Farm975,000$99,490$0$0$No---------------------------Lien / Lien NHL
Hudson Fasching (contrat à 1 volet)Milwaukee Admirals (NAS)RW291995-07-28USANo204 Lbs6 ft3NoNoAssign ManuallyYesNo12025-08-27FalseFalsePro & Farm775,000$79,082$0$0$No---------------------------Lien / Lien NHL
Jack MatierMilwaukee Admirals (NAS)D222003-04-08CANNo200 Lbs6 ft4NoNoProspectNoNo12024-06-03FalseFalsePro & Farm801,667$81,803$0$0$No---------------------------Lien / Lien NHL
Justin GillMilwaukee Admirals (NAS)C222003-01-27CANYes190 Lbs6 ft1NoNoAssign ManuallyNoNo12025-08-24FalseFalsePro & Farm800,000$81,633$0$0$No---------------------------Lien / Lien NHL
Lucas EdmondsMilwaukee Admirals (NAS)LW/RW242001-01-27CANNo192 Lbs5 ft11NoNoAssign ManuallyNoNo12025-08-22FalseFalsePro & Farm900,000$91,837$0$0$No---------------------------Lien / Lien NHL
Matt BenningMilwaukee Admirals (NAS)D311994-05-25CANNo203 Lbs6 ft1NoNoAssign ManuallyNoNo12025-08-23FalseFalsePro & Farm875,000$89,286$0$0$No---------------------------Lien NHL
Matt KierstedMilwaukee Admirals (NAS)D271998-04-14USANo181 Lbs6 ft0NoNoAssign ManuallyYesNo22026-05-07FalseFalsePro & Farm975,000$99,490$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Matt MurrayMilwaukee Admirals (NAS)G311994-05-25CANNo203 Lbs6 ft5NoNoAssign Manually2024-03-10NoNo12025-08-22FalseFalsePro & Farm950,000$96,939$0$0$No---------------------------Lien / Lien NHL
Milo RoelensMilwaukee Admirals (NAS)C/LW222003-01-16CANNo216 Lbs6 ft7NoNoFree AgentNoNo22025-08-23FalseFalsePro & Farm800,000$81,633$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Mitch McLainMilwaukee Admirals (NAS)C/LW311993-12-09USANo196 Lbs6 ft0NoNoAssign ManuallyNoNo12025-08-24FalseFalsePro & Farm975,000$99,490$0$0$No---------------------------Lien / Lien NHL
Navrin MutterMilwaukee Admirals (NAS)LW242001-03-15CANNo181 Lbs6 ft3NoNoFree AgentNoNo12025-05-25FalseFalsePro & Farm775,000$79,082$0$0$No---------------------------Lien / Lien NHL
Owen BeckMilwaukee Admirals (NAS)C212004-02-03CANYes190 Lbs5 ft11NoYesTrade2026-03-08NoNo22025-06-16FalseFalsePro & Farm853,333$87,075$0$0$No853,333$--------853,333$--------No--------Lien / Lien NHL
Rafael Harvey-PinardMilwaukee Admirals (NAS)LW/RW261999-01-06CANNo184 Lbs5 ft9NoNoAssign Manually2025-02-19NoNo12025-08-22FalseFalsePro & Farm975,000$99,490$0$0$No---------------------------Lien / Lien NHL
Rocco GrimaldiMilwaukee Admirals (NAS)LW/RW321993-02-08USANo179 Lbs5 ft6NoNoAssign Manually2024-03-04NoNo22024-08-24FalseFalsePro & Farm975,000$99,490$0$0$No975,000$--------975,000$--------No--------Lien / Lien NHL
Ryan UfkoMilwaukee Admirals (NAS)D222003-05-07USAYes174 Lbs6 ft0NoNoProspectNoNo22025-07-01FalseFalsePro & Farm925,000$94,388$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Simon RobertssonMilwaukee Admirals (NAS)RW222003-02-05SWEYes190 Lbs6 ft0NoYesProspectNoNo22025-07-01FalseFalsePro & Farm867,500$88,520$0$0$No867,500$--------867,500$--------No--------Lien / Lien NHL
Travis BoydMilwaukee Admirals (NAS)C/RW311993-09-14USANo190 Lbs6 ft0NoNoAssign ManuallyNoNo12025-08-22FalseFalsePro & Farm975,000$99,490$0$0$No---------------------------Lien / Lien NHL
Tristan AllardMilwaukee Admirals (NAS)C232002-06-23CANNo201 Lbs6 ft1NoNoAssign ManuallyNoNo22025-08-23FalseFalsePro & Farm975,000$99,490$0$0$No975,000$--------975,000$--------No--------Lien / Lien NHL
William LagessonMilwaukee Admirals (NAS)D291996-02-22SWENo207 Lbs6 ft2NoNoTrade2024-02-25YesNo22025-06-29FalseFalsePro & Farm775,000$79,082$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2926.52189 Lbs6 ft11.31897,328$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andreas AthanasiouOwen BeckHudson Fasching35014
2Brett SeneyCal O'ReillyTravis Boyd30014
3Rocco GrimaldiTristan AllardRafael Harvey-Pinard20032
4Mitch McLainMilo RoelensSimon Robertsson15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Domenick FensoreRyan Ufko50014
2William LagessonMatt Kiersted30023
3Matt BenningDysin Mayo20131
4Matt KierstedRyan Ufko0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andreas AthanasiouOwen BeckHudson Fasching60005
2Mitch McLainCal O'ReillyRocco Grimaldi40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Domenick FensoreTravis Boyd60014
2Ryan UfkoAndreas Athanasiou40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cal O'ReillyHudson Fasching60131
2Tristan AllardHudson Fasching40221
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William LagessonMatt Kiersted60131
2Ryan UfkoMatt Kiersted40230
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cal O'Reilly60230Ryan UfkoMatt Kiersted60131
2Hudson Fasching40140Matt BenningWilliam Lagesson40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cal O'ReillyTravis Boyd60113
2Owen BeckHudson Fasching40212
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan UfkoWilliam Lagesson60122
2Matt KierstedDysin Mayo40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andreas AthanasiouTravis BoydHudson FaschingRyan UfkoWilliam Lagesson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett SeneyCal O'ReillyHudson FaschingMatt KierstedMatt Benning
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Owen Beck, Hudson Fasching, Brett SeneyTravis Boyd, Rafael Harvey-PinardTravis Boyd
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Domenick Fensore, Ryan Ufko, Matt BenningDysin MayoDomenick Fensore, Matt Kiersted
Tirs de pénalité
Travis Boyd, Hudson Fasching, Andreas Athanasiou, Rocco Grimaldi, Owen Beck
Gardien
#1 : Matt Murray, #2 : Chris Driedger
Lignes d’attaque personnalisées en prolongation
Andreas Athanasiou, Cal O'Reilly, Hudson Fasching, Rocco Grimaldi, Owen Beck, Travis Boyd, Mitch McLain, Tristan Allard, Brett Seney, Simon Robertsson
Lignes de défense personnalisées en prolongation
Dysin Mayo, William Lagesson, Ryan Ufko, Matt Kiersted, Matt Benning


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
1Iowa Wild624000001821-332100000107330300000814-640.333183250105841169426259614048499828725.00%20575.00%011220554.63%8816952.07%5510850.93%13992149498240
Total624000001821-332100000107330300000814-640.333183250105841169426259614048499828725.00%20575.00%011220554.63%8816952.07%5510850.93%13992149498240
_Since Last GM Reset624000001821-332100000107330300000814-640.333183250105841169426259614048499828725.00%20575.00%011220554.63%8816952.07%5510850.93%13992149498240
_Vs Conference624000001821-332100000107330300000814-640.333183250105841169426259614048499828725.00%20575.00%011220554.63%8816952.07%5510850.93%13992149498240
_Vs Division624000001821-332100000107330300000814-640.333183250105841169426259614048499828725.00%20575.00%011220554.63%8816952.07%5510850.93%13992149498240

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64L218325016914048499810
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62400001821
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3210000107
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000814
Derniers 10 matchs
WLOTWOTL SOWSOL
240000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
28725.00%20575.00%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
42625965841
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
11220554.63%8816952.07%5510850.93%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13992149498240


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 - 2026-04-203Milwaukee Admirals2Iowa Wild4LSommaire du match
3 - 2026-04-2211Milwaukee Admirals3Iowa Wild5LSommaire du match
5 - 2026-04-2419Iowa Wild2Milwaukee Admirals5WSommaire du match
7 - 2026-04-2627Iowa Wild3Milwaukee Admirals4WXSommaire du match
9 - 2026-04-2835Milwaukee Admirals3Iowa Wild5LSommaire du match
11 - 2026-04-3043Iowa Wild2Milwaukee Admirals1LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité50002500
Prix des billets3515
Assistance14,1937,500
Assistance PCT94.62%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
33 7231 - 96.41% 302,597$907,790$7500100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,524,750$ 2,524,750$ 2,000,000$0$
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$ 5 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
1Adam Gaudette1445998157293819927849511.92%51281519.552333569700059353.12%11.12312
2William Lagesson27025118143532105703463796.60%330586221.71927361260227100%00.4900
3Seth Griffith1445870128404614123942613.62%19261918.19162642120000014553.25%00.9818
4Patrick Brown14243771204813822536531913.48%26246317.3514173168033810257.72%00.9706
5Philip Tomasino144476110886110724634513.62%12238716.5814264089101114545.03%10.9035

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
1Malcolm Subban1176632140.8982.65678010729929200420.57135
2Brian Elliott62421360.9162.5036464415218020300.70427
3Chris Driedger60371220.9082.7532102114715900310.7147
4Hunter Shepard62362240.9292.44372114015121271229130.75016
5Cal Petersen60341590.9252.7235532216121361303300.61513

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
Saison régulière
20217232250534321719918361810013221211031836141504021969608821738460114727264161832594614601481756500118814324626914.94%4806586.46%41154224751.36%1141218952.12%589107654.74%175211721681566936474
20227235180573425019753361980430212693333616100143212410420972504396892490916112227977275772349196655054515803025819.21%2464482.11%31106241645.78%1098226948.39%599115252.00%178212181628546965494
2023724118062232632006336218051011289038362010011221351102510326346572813104836813252487478983446218565968416713247121.91%2963887.16%61328254052.28%1279236754.03%619117052.91%171211621706558945471
202472352103841246203433623501340130805036121602501116123-7932464066520246959811280186399592038262388323318201334533.83%1053962.86%2790158149.97%731140552.03%559104353.60%158891014406481335673
20257232230563324723017361610033311221041836161302302125126-189247430677038790629197964466064251181155666611623706617.84%3046279.61%21245235152.96%1126216951.91%627119152.64%174711771671564958481
Total Saison régulière36017510502426161412231029194180974101413966274701571807864010137859655937470122321243347416399431353611141537473815372023210341314833167665159130919.42%143124882.67%1756231113550.50%53751039951.69%2993563253.14%858456418129288451422595
Séries éliminatoires
202123167000008155261210200000432617116500000382993281147228022821302695201228220467271893454941422719.01%1501987.33%045285552.87%43084151.13%18436650.27%609412558184306157
20221165000003237-56420000019181523000001319-6123254860013973361106133108143739911520843818.60%40587.50%020137753.32%20839352.93%9118250.00%2701862628514673
202394500000313105320000021183413000001013-383153842015880346105108121122938091232381128.95%351071.43%018134852.01%15029451.02%8616452.44%2241522097012361
2024734000002419541300000111103210000013856244064004812028389891050232791818917529.41%9455.56%08817251.16%6714346.85%479151.65%149831386513165
2025624000001821-332100000107330300000814-64183250105841169426259614048499828725.00%20575.00%011220554.63%8816952.07%5510850.93%13992149498240
Total Séries éliminatoires5631250000018616323302010000001048024261115000008283-162186326512326554616185454362061378176549561812212685821.64%2544383.07%01034195752.84%943184051.25%46391150.82%13939271318455790398

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
1Patrick Brown347263323455821007.00%865819.38210123200001054.94%01.0000
2Tommy Novak239132271631386214.52%438216.625382300003052.85%01.1500
3Ethan Prow324182253245213212.50%3174523.30167120000000%00.5900
4Taylor Raddysh2310102082637298012.50%642118.333692500003057.78%00.9500
5Alexandre Carrier23513187283643539.43%3661026.52336350000110%00.5900

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
1Malcolm Subban2314620.9232.301438025571303000
2Alexandar Georgiev95310.9043.26553003031300000
3Brian Elliott84300.8963.07450002322200200
4Pheonix Copley33000.9052.641590077400000
5Hunter Shepard63300.9212.6735900162021121000