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PACIFIC
CENTRAL
METROPOLITAN
ATLANTIC
Connexion
Milwaukee Admirals
GP: 5 | W: 2 | L: 3 | OTL: 0 | P: 4
GF: 16 | GA: 21 | PP%: 18.18% | PK%: 62.96%
DG: Emil Gilliusson | Morale : 49 | Moyenne d’équipe : 57
Prochains matchs #87 vs Colorado Eagles
Centre de jeu
Milwaukee Admirals
2-3-0, 4pts
4
1
Iowa Wild
2-3-0, 4pts
2026-09-22 Sommaire du match
5 senaste matcher
DatumMotståndResultat
2026-09-22Iowa WildA4 - 1--
2026-09-21Manitoba MooseH4 - 6--
2026-09-20Tucson RoadrunnersH3 - 2--
2026-09-19Texas StarsH5 - 6--
2026-09-18Springfield ThunderbirdsA0 - 6--
5 kommande matcher
DatumMotståndStatus
2026-09-23Colorado EaglesA
2026-09-24Rockford IceHogsA
Team Stats
Central Standings
TeamGPWLOTLGFGAGDPtsStreakLast 10
COL53201713+46L13-2-0
STL53201812+66L23-2-0
WIN5320171706L13-2-0
CHI53201715+26W13-2-0
DAL52211821-35W12-2-1
NAS52301621-54W12-3-0
MIN52301014-44L12-3-0
TUS5230171704W22-3-0
Intern poängliga
Ryan UfkoD52463231513.33%322.13
Zachary L'HeureuxLW51560023166.25%119.84
Declan ChisholmD5145122714.29%821.52
Cole GuttmanC53140841030.00%117.16
Jack AhcanD522421061118.18%718.50
Vincent ArseneauLW5213423450.00%015.32
Seth GriffithRW503302490.00%013.90
Calle JarnkrokRW5112203812.50%012.24
Matthew WoodCRW5112-1175175.88%019.09
Owen BeckCRW502220460.00%019.43
Hudson FaschingRW5101-343714.29%110.19
William LagessonD5011-60420.00%616.71
Declan CarlileD501126750.00%1019.07
Skyler Brind'AmourLWRW5011-34050.00%010.62
Chris TerryLW501102340.00%08.95
Owen SillingerC5000-32520.00%012.78
Andreas EnglundD5000-66930.00%515.59
Målvakter
Henrik Tikkanen52100.8613.8123600151080000.0000
Owen Say20200.8574.9262005350010.0000
Statistiques d’équipe
Buts pour
3.20 GPG
Rank #23 / 32
Tirs pour
28.40 Avg
Rank #8 / 32
Pourcentage en avantage numérique
18.2%
Rank #24 / 32
Début de zone offensive
40.5%
Rank #11 / 32
Puck Time Control In Offensif Zone / GP
16.32 min
Rank #9 / 32
Buts contre
4.20 GAA
Rank #24 / 32
Tirs contre
28.80 Avg
Rank #23 / 32
Pourcentage en désavantage numérique
63.0%
Rank #28 / 32
Début de la zone défensive
39.7%
Rank #14 / 32
Puck Time In Offensif Zone / Puck Time In Defensif Zone
1.05
Rank #11 / 32
Informations de l'équipe
Directeur généralEmil Gilliusson
EntraîneurJeff Blashill
DivisionCentral
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2
Informations de l’aréna
Nom
Capacité7,500
Assistance0
Billets de saison750
Équipe Pro28
Équipe Mineure20
Limite contact 48 / 60
Espoirs27
Cap Salarial de la Saison estimé0$
Plafond salarial disponible104,000,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial0
Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel0$
Compte bancaire projeté0$
Saison actuelle2-3-0 (4 PTS)
Historique215-105-40
Apparitions en séries éliminatoires 5
Historique en séries éliminatoires (W-L)31 - 25
Coupe Stanley1
Trade Block
PlayerPOSOVAgeContractSalary
-


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
1Matthew Wood0XX100.00754095747266887568757455554741046660211950,000$
2Zachary L'Heureux68X100.00927089686168697045647074594844050660232875,000$
3Calle Jarnkrok19X100.007239966365658161616366644282570506203411,050,000$
4Owen Beck0XX100.00794189607860836188606259544444050600221853,333$
5Seth Griffith53X100.006855856456509066456759565564550505803311,050,000$
6Cole Guttman0X100.00635385635550886375626456575249050570271875,000$
7Vincent Arseneau0X100.00796677566450655845515860526656050560341850,000$
8Hudson Fasching0X100.006738955665508755455656605058520505503011,075,000$
9Owen Sillinger83X100.006755855957508960755959525354500505502811,025,000$
10Skyler Brind'Amour95XX100.006354876060508861555860545450480505502611,050,000$
11Chris Terry0X100.00663691585850825945565855527259050550371850,000$
12Antonio Stranges0X100.00603495595650896045595950534646045540241850,000$
13Ryan Ufko0X100.00693791746563806625756169534545050630231925,000$
14Declan Carlile6X100.008075856273657459255955754948470506202621,050,000$
15Declan Chisholm0X100.006937966772636660256656773751460506202611,600,000$
16Jack Ahcan0X100.006755866467598564256660735454500506102911,050,000$
17William Lagesson6X100.00685687586250855425555179475852050580301775,000$
18Andreas Englund0X100.007561815665508053255249724558520505703011,050,000$
Rayé
1Tristan Allard0X100.00715783576050895675585657504545045540241975,000$
2Simon Robertsson0XX100.00665587535950745355555253474545045520231867,500$
3Milo Roelens0X100.00675585506450644845554661424545045510231800,000$
4Austin Roest0X100.00625387525550755175555153454444045500221870,000$
5Kevin Gravel0X100.006956875464508851255149654466560455503411,050,000$
6Jack Matier51X100.00715981566250665325534968454545045540231850,000$
7Oliver Bonk0X100.00613389605850775925555363504343045540212886,667$
MOYENNE D’ÉQUIPE100.0070518860635480594759576250534904857
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
1Henrik Tikkanen0100.0062594684626160586164505447041560251850,000$
2Owen Say0100.00645444765857575359625052460465302511,075,000$
Rayé
1Ethan Haider0100.0055454079594855605457505246048510241950,000$
MOYENNE D’ÉQUIPE100.006053438060555757586150534604553
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Blashill7278758081771USA5212,000,000$


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
1Zachary L'HeureuxMilwaukee Admirals (NAS)LW515600023416786.25%19919.840225250001100028.57%1400001.2100000111
2Ryan UfkoMilwaukee Admirals (NAS)D524632033156813.33%311022.13101102300006000%000001.0800000100
3Declan ChisholmMilwaukee Admirals (NAS)D51451202470214.29%810721.52033624000020000%000000.9300000100
4Cole GuttmanMilwaukee Admirals (NAS)C5314080410101530.00%18517.161124230001180060.83%12000000.9300000001
5Stefan NoesenMilwaukee Admirals (NAS)LW/RW5224175561141718.18%28917.89123624000071025.00%400000.8900001010
6Jack AhcanMilwaukee Admirals (NAS)D5224210063114518.18%79218.5020272400001000%000000.8600000001
7Seth GriffithMilwaukee Admirals (NAS)RW5033020449440%06913.90022623000000075.00%800000.8600000000
8Vincent ArseneauMilwaukee Admirals (NAS)LW52134203242350.00%07615.32112221000000050.00%800000.7800000000
9Calle JarnkrokMilwaukee Admirals (NAS)RW51122003485212.50%06112.2400013000000022.22%900000.6500000000
10Matthew WoodMilwaukee Admirals (NAS)C/RW5112-117551172135.88%09519.090006230001160042.31%7800000.4200000001
11Owen BeckMilwaukee Admirals (NAS)C/RW50222004126120%09719.430114240000120065.59%9300000.4100000000
12Hudson FaschingMilwaukee Admirals (NAS)RW5101-3403371314.29%15010.19000000000110100.00%300000.3900000000
13William LagessonMilwaukee Admirals (NAS)D5011-600462020%68316.7100004000018000%000000.2400000000
14Declan CarlileMilwaukee Admirals (NAS)D5011260725320%109519.0700001000017000%000000.2100000000
15Skyler Brind'AmourMilwaukee Admirals (NAS)LW/RW5011-340035230%05310.62000120000200100.00%200000.3800000000
16Chris TerryMilwaukee Admirals (NAS)LW5011020314040%0448.9500000000000033.33%300000.4500000000
17Owen SillingerMilwaukee Admirals (NAS)C5000-320532040%06312.78000020000130057.14%560000000000000
18Andreas EnglundMilwaukee Admirals (NAS)D5000-660933020%57715.5900001000014000%00000000000000
Statistiques d’équipe totales ou en moyenne90163046-574109374142428911.27%44145416.16612185825500031632055.78%39800000.6300001324
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
1Henrik TikkanenMilwaukee Admirals (NAS)52100.8613.8123600151080000050000
2Owen SayMilwaukee Admirals (NAS)20200.8574.9261005350010005000
Statistiques d’équipe totales ou en moyenne72300.8604.042970020143001055000


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
Andreas EnglundMilwaukee Admirals (NAS)D301996-01-21SWENo93 Kg193 CMNoNoAssign Manually2025-12-20NoNo12026-08-22FalseFalsePro & Farm1,050,000$1,050,000$0$0$No---------------------------Lien / Lien NHL
Antonio StrangesMilwaukee Admirals (NAS)LW242002-02-05USANo81 Kg178 CMNoNoAssign ManuallyNoNo12026-08-25FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Austin RoestMilwaukee Admirals (NAS)C222004-01-22CANNo75 Kg178 CMNoNoProspectNoNo12026-06-08FalseFalsePro & Farm870,000$870,000$0$0$No---------------------------Lien
Calle JarnkrokMilwaukee Admirals (NAS)RW341991-09-25SWENo87 Kg183 CMNoNoAssign Manually2025-06-13NoNo12026-08-21FalseFalsePro & Farm1,050,000$1,050,000$0$0$No---------------------------Lien / Lien NHL
Chris TerryMilwaukee Admirals (NAS)LW371989-04-07CANNo90 Kg178 CMNoNoAssign ManuallyNoNo12026-08-25FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Cole GuttmanMilwaukee Admirals (NAS)C271999-04-05USANo75 Kg178 CMNoNoAssign ManuallyNoNo12025-08-22FalseFalsePro & Farm875,000$875,000$0$0$No---------------------------Lien / Lien NHL
Declan CarlileMilwaukee Admirals (NAS)D262000-05-18USANo87 Kg191 CMNoNoAssign ManuallyNoNo22026-08-21FalseFalsePro & Farm1,050,000$1,050,000$0$0$No1,050,000$--------1,050,000$--------No--------Lien / Lien NHL
Declan Chisholm (contrat à 1 volet)Milwaukee Admirals (NAS)D262000-01-12CANNo84 Kg185 CMNoNoTrade2026-09-12YesYes12025-07-06FalseFalsePro & Farm1,600,000$1,600,000$375,000$375,000$No---------------------------Lien / Lien NHL
Ethan HaiderMilwaukee Admirals (NAS)G242001-09-04USANo86 Kg193 CMNoNoAssign ManuallyNoNo12026-08-21FalseFalsePro & Farm950,000$950,000$0$0$No---------------------------Lien / Lien NHL
Henrik TikkanenMilwaukee Admirals (NAS)G252000-09-28FINNo91 Kg201 CMNoNoTrade2025-12-17YesYes12026-07-19FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Hudson FaschingMilwaukee Admirals (NAS)RW301995-07-28USANo97 Kg191 CMNoNoAssign ManuallyNoNo12026-08-24FalseFalsePro & Farm1,075,000$1,075,000$0$0$No---------------------------Lien / Lien NHL
Jack AhcanMilwaukee Admirals (NAS)D291997-05-18USANo82 Kg173 CMNoNoAssign ManuallyNoNo12026-08-21FalseFalsePro & Farm1,050,000$1,050,000$0$0$No---------------------------Lien / Lien NHL
Jack MatierMilwaukee Admirals (NAS)D232003-04-08CANNo84 Kg191 CMNoNoAssign ManuallyNoNo12026-08-28FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Kevin GravelMilwaukee Admirals (NAS)D341992-03-06USANo91 Kg193 CMNoNoAssign ManuallyNoNo12026-08-24FalseFalsePro & Farm1,050,000$1,050,000$0$0$No---------------------------Lien / Lien NHL
Matthew WoodMilwaukee Admirals (NAS)C/RW212005-02-06CANNo93 Kg196 CMNoNoProspectNoNo12025-12-17FalseFalsePro & Farm950,000$950,000$0$0$No---------------------------Lien / Lien NHL
Milo RoelensMilwaukee Admirals (NAS)LW232003-01-16CANNo83 Kg196 CMNoNoFree AgentNoNo12025-08-23FalseFalsePro & Farm800,000$800,000$0$0$No---------------------------Lien / Lien NHL
Oliver BonkMilwaukee Admirals (NAS)D212005-01-09CANNo77 Kg185 CMNoNoTrade2026-06-04NoNo22026-06-08FalseFalsePro & Farm886,667$886,667$0$0$No886,667$--------886,667$--------No--------Lien / Lien NHL
Owen BeckMilwaukee Admirals (NAS)C/RW222004-02-03CANNo86 Kg180 CMNoNoTrade2026-03-08NoNo12025-06-16FalseFalsePro & Farm853,333$853,333$0$0$No---------------------------Lien / Lien NHL
Owen SayMilwaukee Admirals (NAS)G252001-06-05CANNo84 Kg185 CMNoNoAssign ManuallyNoNo12026-08-24FalseFalsePro & Farm1,075,000$1,075,000$0$0$No---------------------------Lien
Owen SillingerMilwaukee Admirals (NAS)C281997-09-23CANNo83 Kg178 CMNoNoAssign ManuallyNoNo12026-08-22FalseFalsePro & Farm1,025,000$1,025,000$0$0$No---------------------------Lien / Lien NHL
Ryan UfkoMilwaukee Admirals (NAS)D232003-05-07USANo79 Kg183 CMNoNoProspectNoNo12025-07-01FalseFalsePro & Farm925,000$925,000$0$0$No---------------------------Lien / Lien NHL
Seth GriffithMilwaukee Admirals (NAS)RW331993-01-04CANNo86 Kg175 CMNoNoAssign ManuallyNoNo12026-08-21FalseFalsePro & Farm1,050,000$1,050,000$0$0$No---------------------------Lien / Lien NHL
Simon RobertssonMilwaukee Admirals (NAS)LW/RW232003-02-05SWENo86 Kg183 CMNoNoProspectNoNo12025-07-01FalseFalsePro & Farm867,500$867,500$0$0$No---------------------------Lien / Lien NHL
Skyler Brind'AmourMilwaukee Admirals (NAS)LW/RW261999-07-27USANo80 Kg188 CMNoNoAssign ManuallyNoNo12026-08-24FalseFalsePro & Farm1,050,000$1,050,000$0$0$No---------------------------Lien / Lien NHL
Tristan AllardMilwaukee Admirals (NAS)C242002-06-23CANNo86 Kg185 CMNoNoAssign ManuallyNoNo12025-08-23FalseFalsePro & Farm975,000$975,000$0$0$No---------------------------Lien / Lien NHL
Vincent ArseneauMilwaukee Admirals (NAS)LW341992-03-26CANNo98 Kg188 CMNoNoAssign ManuallyNoNo12026-08-25FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
William LagessonMilwaukee Admirals (NAS)D301996-02-22SWENo89 Kg188 CMNoNoTrade2024-02-25YesYes12025-06-29FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Lien / Lien NHL
Zachary L'Heureux (contrat à 1 volet)Milwaukee Admirals (NAS)LW232003-05-15CANNo90 Kg180 CMNoNoProspectNoNo22026-03-25FalseFalsePro & Farm875,000$875,000$0$0$No875,000$--------875,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2826.6886 Kg185 CM1.11963,482$


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 Wild11000000413000000000001100000041321.000471100637033385351016725203133.33%6183.33%09916161.49%7815849.37%457956.96%12081114386433
2Manitoba Moose1010000046-21010000046-20000000000000.0004812106370253853510291413217228.57%4325.00%09916161.49%7815849.37%457956.96%12081114386433
3Springfield Thunderbirds1010000006-6000000000001010000006-600.00000000637014385351049131415500.00%7357.14%09916161.49%7815849.37%457956.96%12081114386433
4Texas Stars1010000056-11010000056-10000000000000.0005101500637033385351029518238337.50%8362.50%09916161.49%7815849.37%457956.96%12081114386433
5Tucson Roadrunners11000000321110000003210000000000021.0003580063703738535102154141000.00%20100.00%09916161.49%7815849.37%457956.96%12081114386433
Total523000001621-5312000001214-22110000047-340.400163046106370142385351014444749333618.18%271062.96%09916161.49%7815849.37%457956.96%12081114386433
_Since Last GM Reset523000001621-5312000001214-22110000047-340.400163046106370142385351014444749333618.18%271062.96%09916161.49%7815849.37%457956.96%12081114386433
_Vs Conference523000001621-5312000001214-22110000047-340.400163046106370142385351014444749333618.18%271062.96%09916161.49%7815849.37%457956.96%12081114386433
_Vs Division523000001621-5312000001214-22110000047-340.400163046106370142385351014444749333618.18%271062.96%09916161.49%7815849.37%457956.96%12081114386433

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
54W116304614214444749310
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
52300001621
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31200001214
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
211000047
Derniers 10 matchs
WLOTWOTL SOWSOL
230000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
33618.18%271062.96%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
38535106370
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
9916161.49%7815849.37%457956.96%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12081114386433


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 - 2026-09-185Milwaukee Admirals0Springfield Thunderbirds6LSommaire du match
2 - 2026-09-1922Texas Stars6Milwaukee Admirals5LSommaire du match
3 - 2026-09-2039Tucson Roadrunners2Milwaukee Admirals3WSommaire du match
4 - 2026-09-2156Manitoba Moose6Milwaukee Admirals4LSommaire du match
5 - 2026-09-2272Milwaukee Admirals4Iowa Wild1WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
6 - 2026-09-2387Milwaukee Admirals-Colorado Eagles-
7 - 2026-09-24102Milwaukee Admirals-Rockford IceHogs-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité50002500
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 0 - 0.00% 0$0$7500100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,450,250$ 2,450,250$ 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$ 2 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