Please rotate your device to landscape mode for a better experience.
Connexion

Milwaukee Admirals
GP: 78 | W: 31 | L: 43 | OTL: 4 | P: 66
GF: 207 | GA: 247 | PP%: 14.98% | PK%: 86.67%
DG: Tomas Stryja | Morale : 50 | Moyenne d’équipe : 56
Prochains matchs #1266 vs Iowa Wild

Centre de jeu
Springfield Thunderbirds
41-30-7, 89pts
3
1 Milwaukee Admirals
31-43-4, 66pts
Team Stats
L2SéquenceL5
24-12-4Fiche domicile16-22-1
17-18-3Fiche domicile15-21-3
6-3-1Derniers 10 matchs1-9-0
3.14Buts par match 2.65
2.65Buts contre par match 3.17
20.20%Pourcentage en avantage numérique14.98%
84.94%Pourcentage en désavantage numérique86.67%
Milwaukee Admirals
31-43-4, 66pts
1
4 Lehigh Valley Phantoms
45-25-9, 99pts
Team Stats
L5SéquenceW2
16-22-1Fiche domicile22-13-5
15-21-3Fiche domicile23-12-4
1-9-0Derniers 10 matchs8-1-1
2.65Buts par match 2.81
3.17Buts contre par match 2.44
14.98%Pourcentage en avantage numérique19.14%
86.67%Pourcentage en désavantage numérique91.30%
Iowa Wild
29-38-11, 69pts
Jour 155
Milwaukee Admirals
31-43-4, 66pts
Statistiques d’équipe
L6SéquenceL5
17-15-6Fiche domicile16-22-1
12-23-5Fiche visiteur15-21-3
2-7-110 derniers matchs1-9-0
2.51Buts par match 2.65
3.23Buts contre par match 2.65
16.94%Pourcentage en avantage numérique14.98%
79.66%Pourcentage en désavantage numérique86.67%
Calgary Wranglers
14-59-5, 33pts
Jour 157
Milwaukee Admirals
31-43-4, 66pts
Statistiques d’équipe
L7SéquenceL5
10-27-3Fiche domicile16-22-1
4-32-2Fiche visiteur15-21-3
0-8-210 derniers matchs1-9-0
2.00Buts par match 2.65
4.33Buts contre par match 2.65
16.99%Pourcentage en avantage numérique14.98%
77.27%Pourcentage en désavantage numérique86.67%
Milwaukee Admirals
31-43-4, 66pts
Jour 159
Colorado Eagles
44-22-12, 100pts
Statistiques d’équipe
L5SéquenceL1
16-22-1Fiche domicile24-9-6
15-21-3Fiche visiteur20-13-6
1-9-010 derniers matchs7-1-2
2.65Buts par match 3.19
3.17Buts contre par match 3.19
14.98%Pourcentage en avantage numérique20.50%
86.67%Pourcentage en désavantage numérique85.71%
Meneurs d'équipe
Sam LaffertyButs
Sam Lafferty
31
Jakob PelletierPasses
Jakob Pelletier
47
Jakob PelletierPoints
Jakob Pelletier
65
Plus/Moins
Dominik Badinka
4
Victoires
Jesper Vikman
30
Akira SchmidPourcentage d’arrêts
Akira Schmid
0.922

Statistiques d’équipe
Buts pour
207
2.65 GFG
Tirs pour
2227
28.55 Avg
Pourcentage en avantage numérique
15.0%
46 GF
Début de zone offensive
39.3%
Buts contre
247
3.17 GAA
Tirs contre
2356
30.21 Avg
Pourcentage en désavantage numérique
86.7%%
40 GA
Début de la zone défensive
42.0%
Informations de l'équipe

Directeur généralTomas Stryja
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure20
Limite Contrat49 / 80
Espoirs40


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
1Rasmus AsplundXXX99.00756989756980856480596269596262050630271800,000$
2Gage Goncalves (R)XX100.007743927768639162446564647551510506202411,100,000$
3Jakob PelletierXX99.007542937661598660386966682555550506202421,100,000$
4Sam LaffertyXXX99.008045868376557761575558692567690506103011,200,000$
5Max JonesXX100.00914780768054815625545662256565050590271900,000$
6Judd CaulfieldXX100.00828282658276825550505666534444050590248100,000$
7Axel Jonsson-FjallbyXX100.00777288667275805670525664534445050580271900,000$
8Jakub DemekXXX100.00837797647755546176615668534444050580228100,000$
9Nate Danielson (R)XX100.007571856771565660755956645344440505702110100,000$
10Nathan GaucherXX100.00768262658269735366495362504444050570218100,000$
11Henrik RybinskiXXX100.00757088667053526050595664534444050570248100,000$
12Samuel Savoie (R)XX100.007468886568798751505047614544440505602110100,000$
13Ty Nelson (R)X99.00726980666980875225534657404444050590219100,000$
14Jake LivingstoneX100.00797881647869754925415060434444050580261600,000$
15Joseph CecconiX100.00808080648055574825444460384444050560284100,000$
16Jack RathboneX100.00696676656672785025474655404444050560261600,000$
17Ryan JonesX100.00807885627846464950484463424444050550298100,000$
18Gustav LindstromX100.007370806370576047254046564044440505402611,000,000$
Rayé
1Parker Bell (R)XX100.008281846381727849504448644644440505602210100,000$
2Francesco Pinelli (R)XX100.007370816670565656705058625544440505602210100,000$
3Ethan KeppenXXX100.00787586637543405771496064574444050550248100,000$
4Gavin Hayes (R)XX100.007466946466626550505046614444440505402110100,000$
5Lukas SvejkovskyXX100.00686085806036325250386158584444050520237100,000$
6Quinn Olson (R)XX100.006967728067363348604744584244440505102410100,000$
7Nick Capone (R)XX100.004949494949494949494949494949490504802510100,000$
8Dominik Badinka (R)X100.006370478070323041253143503744440504901910100,000$
MOYENNE D’ÉQUIPE99.8575678168715965544951536146474705056
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
1Jesper Vikman (R)99.0054527572559455599490454444050600236100,000$
2Akira Schmid100.00588279835658606458589548490505702521,100,000$
Rayé
1Mason Beaupit100.0049494949494949494949494949050480218100,000$
MOYENNE D’ÉQUIPE99.675461686853675557676663474705055
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
1Jakob PelletierMilwaukee Admirals (NSH)C/LW78184765-322039171244691707.38%29165821.26414184924801182711040.65%49200000.7814000233
2Gage GoncalvesMilwaukee Admirals (NSH)C/LW78293261-1580812002788218310.43%24164421.08711184825720261834239.10%39900000.7414000433
3Sam LaffertyMilwaukee Admirals (NSH)C/LW/RW78312455-29200862062216215014.03%33159320.42511164725110182657248.63%69100000.6913000532
4Max JonesMilwaukee Admirals (NSH)LW/RW78163551-255402161511363512411.76%12151119.387916402210004733133.63%123400000.6700000522
5Judd CaulfieldMilwaukee Admirals (NSH)LW/RW78153550-103610129129211731537.11%23154619.83810185525302231421135.79%9500000.6500101222
6Axel Jonsson-FjallbyMilwaukee Admirals (NSH)C/LW78212647-3140461931655213412.73%19129116.560004210000271153.15%137900000.7300000044
7Nathan GaucherMilwaukee Admirals (NSH)C/RW78123042-9811517296179461246.70%9138117.71371033172000003152.55%33300000.6100111302
8Rasmus AsplundMilwaukee Admirals (NSH)C/LW/RW50202141-14260401662005314310.00%20106821.3722414540002593057.96%50900000.7700000222
9Nate DanielsonMilwaukee Admirals (NSH)C/RW72131629-32204515016036968.13%1592012.79000416000040155.22%101600000.6300000033
10Jake LivingstoneMilwaukee Admirals (NSH)D7841721-4780178446015296.67%100187124.00033212440000199000%000000.2200000021
11Ty NelsonMilwaukee Admirals (NSH)D7851419-37895157475114409.80%105210326.97426332380110226000%000000.1800100000
12Jack RathboneMilwaukee Admirals (NSH)D7811819-27540110364514312.22%60148319.0114529251000088000%000000.2600000000
13Joseph CecconiMilwaukee Admirals (NSH)D7821416-1735174324515234.44%94166621.360008610001190000%000000.1900010100
14Ryan JonesMilwaukee Admirals (NSH)D7851015-22700133475312419.43%100156520.07448252300002201110%000000.1900000001
15Henrik RybinskiMilwaukee Admirals (NSH)C/LW/RW445712-510020577421506.76%444110.0300000000002040.00%4500000.5400000020
16Francesco PinelliMilwaukee Admirals (NSH)C/LW622911-10011334915294.08%22604.2015616100000000054.42%35100000.8500000000
17Gustav LindstromMilwaukee Admirals (NSH)D41123-710035273714.29%174049.87000122000074000%000000.1500000000
18Parker BellMilwaukee Admirals (NSH)LW/RW441121407271914.29%0791.820001700001100%200000.5000000000
19Samuel SavoieMilwaukee Admirals (NSH)C/LW34202120512237108.70%31684.9600000000040030.77%1300000.2400000000
20Jakub DemekMilwaukee Admirals (NSH)C/LW/RW5120217512133415.38%0300.5900000000042068.18%2200001.3300001011
21Alex AlexeyevNashville PredatorsD10011-1401211120%2828.2600015000010000%000000.2400000000
22Ethan KeppenMilwaukee Admirals (NSH)C/LW/RW33011100242220%0150.4800001000000057.14%700001.2600000000
23Dominik BadinkaMilwaukee Admirals (NSH)D270114401413010%61355.03000111000120000%000000.1500000000
Statistiques d’équipe totales ou en moyenne1404205361566-2376684017131782222763115559.21%6772292616.3346821284302672347352048291047.62%658800000.49311323242726
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
1Jesper VikmanMilwaukee Admirals (NSH)78304330.8963.11439914622821970350.8005780863
2Akira SchmidMilwaukee Admirals (NSH)111010.9222.3630500121540000.8005078000
Statistiques d’équipe totales ou en moyenne89314340.8983.0647051462402351035107878863


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Akira SchmidMilwaukee Admirals (NSH)G252000-07-06SUINo190 Lbs6 ft5NoNoTrade2024-12-27NoNo22025-09-30FalseFalsePro & Farm1,100,000$48,125$0$0$No1,100,000$--------1,100,000$--------No--------Lien / Lien NHL
Axel Jonsson-FjallbyMilwaukee Admirals (NSH)C/LW271998-07-07SWENo198 Lbs6 ft1NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm900,000$39,375$0$0$No---------------------------Lien / Lien NHL
Dominik BadinkaMilwaukee Admirals (NSH)D192006-07-07CZEYes183 Lbs6 ft3NoNoDraftNoNo102025-07-15FalseFalseFarm Only100,000$4,375$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNoLien
Ethan KeppenMilwaukee Admirals (NSH)C/LW/RW242001-07-07CANNo203 Lbs6 ft2NoNoProspectNoNo82024-08-23FalseFalseFarm Only100,000$4,375$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$--100,000$100,000$100,000$100,000$100,000$100,000$100,000$--NoNoNoNoNoNoNo--Lien / Lien NHL
Francesco PinelliMilwaukee Admirals (NSH)C/LW222003-07-07CANYes190 Lbs6 ft0NoNoProspectNoNo102025-07-15FalseFalseFarm Only100,000$4,375$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNoLien
Gage GoncalvesMilwaukee Admirals (NSH)C/LW242001-07-07CANYes184 Lbs6 ft1NoNoN/ANoNo12025-10-04FalseFalsePro & Farm1,100,000$48,125$0$0$No---------------------------Lien / Lien NHL
Gavin HayesMilwaukee Admirals (NSH)LW/RW212004-07-06USAYes176 Lbs6 ft1NoNoProspectNoNo102025-07-15FalseFalseFarm Only100,000$4,375$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNoLien
Gustav LindstromMilwaukee Admirals (NSH)D261999-07-07SWENo187 Lbs6 ft2NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm1,000,000$43,750$0$0$No---------------------------Lien / Lien NHL
Henrik RybinskiMilwaukee Admirals (NSH)C/LW/RW242001-07-07CANNo187 Lbs6 ft2NoNoAssign ManuallyNoNo82024-08-23FalseFalseFarm Only100,000$4,375$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$--100,000$100,000$100,000$100,000$100,000$100,000$100,000$--NoNoNoNoNoNoNo--Lien
Jack RathboneMilwaukee Admirals (NSH)D261999-07-07USANo185 Lbs5 ft10NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm600,000$26,250$0$0$No---------------------------Lien / Lien NHL
Jake LivingstoneMilwaukee Admirals (NSH)D261999-07-07CANNo207 Lbs6 ft4NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm600,000$26,250$0$0$No---------------------------Lien
Jakob PelletierMilwaukee Admirals (NSH)C/LW242001-07-07CANNo170 Lbs5 ft9NoNoN/ANoNo22025-10-04FalseFalsePro & Farm1,100,000$48,125$0$0$No1,100,000$--------1,100,000$--------No--------Lien / Lien NHL
Jakub DemekMilwaukee Admirals (NSH)C/LW/RW222003-07-07SVKNo203 Lbs6 ft4NoNoTrade2023-11-30NoNo8FalseFalseFarm Only100,000$4,375$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$--100,000$100,000$100,000$100,000$100,000$100,000$100,000$--NoNoNoNoNoNoNo--Lien
Jesper VikmanMilwaukee Admirals (NSH)G232002-07-07SWEYes179 Lbs6 ft3NoNoN/ANoNo6FalseFalseFarm Only100,000$4,375$0$0$No100,000$100,000$100,000$100,000$100,000$----100,000$100,000$100,000$100,000$100,000$----NoNoNoNoNo----Lien
Joseph CecconiMilwaukee Admirals (NSH)D281997-07-07USANo216 Lbs6 ft3NoNoN/ANoNo4FalseFalseFarm Only100,000$4,375$0$0$No100,000$100,000$100,000$------100,000$100,000$100,000$------NoNoNo------Lien / Lien NHL
Judd CaulfieldMilwaukee Admirals (NSH)LW/RW242001-07-07USANo220 Lbs6 ft3NoNoProspectNoNo82024-08-23FalseFalseFarm Only100,000$4,375$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$--100,000$100,000$100,000$100,000$100,000$100,000$100,000$--NoNoNoNoNoNoNo--Lien
Lukas SvejkovskyMilwaukee Admirals (NSH)C/RW232002-07-07USANo165 Lbs5 ft10NoNoN/ANoNo7FalseFalseFarm Only100,000$4,375$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$---100,000$100,000$100,000$100,000$100,000$100,000$---NoNoNoNoNoNo---Lien
Mason BeaupitMilwaukee Admirals (NSH)G212003-07-07CANNo185 Lbs6 ft5NoNoN/ANoNo8FalseFalseFarm Only100,000$4,375$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$--100,000$100,000$100,000$100,000$100,000$100,000$100,000$--NoNoNoNoNoNoNo--
Max JonesMilwaukee Admirals (NSH)LW/RW271998-07-07USANo216 Lbs6 ft3NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm900,000$39,375$0$0$No---------------------------Lien
Nate DanielsonMilwaukee Admirals (NSH)C/RW212004-07-06CANYes190 Lbs6 ft1NoNoProspectNoNo102025-07-15FalseFalseFarm Only100,000$4,375$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNoLien
Nathan GaucherMilwaukee Admirals (NSH)C/RW212004-07-06CANNo222 Lbs6 ft3NoNoN/ANoNo8FalseFalseFarm Only100,000$4,375$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$--100,000$100,000$100,000$100,000$100,000$100,000$100,000$--NoNoNoNoNoNoNo--Lien
Nick CaponeMilwaukee Admirals (NSH)C/RW252000-07-05USAYes216 Lbs6 ft2NoNoProspectNoNo102025-07-15FalseFalseFarm Only100,000$4,375$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNo
Parker BellMilwaukee Admirals (NSH)LW/RW222003-07-07CANYes210 Lbs6 ft5NoNoProspectNoNo102025-07-15FalseFalseFarm Only100,000$4,375$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNoLien
Quinn OlsonMilwaukee Admirals (NSH)C/LW242001-07-07CANYes180 Lbs6 ft0NoNoProspectNoNo102025-07-15FalseFalseFarm Only100,000$4,375$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNoLien
Rasmus AsplundMilwaukee Admirals (NSH)C/LW/RW271998-07-07SWENo190 Lbs5 ft11NoNoFree AgentNoNo12025-10-04FalseFalsePro & Farm800,000$35,000$0$0$No---------------------------Lien / Lien NHL
Ryan JonesMilwaukee Admirals (NSH)D291996-07-06CANNo208 Lbs6 ft4NoNoN/ANoNo8FalseFalseFarm Only100,000$4,375$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$--100,000$100,000$100,000$100,000$100,000$100,000$100,000$--NoNoNoNoNoNoNo--Lien / Lien NHL
Sam LaffertyMilwaukee Admirals (NSH)C/LW/RW301995-07-07USANo205 Lbs6 ft2NoNoFree Agent2024-11-21NoNo12024-12-11FalseFalsePro & Farm1,200,000$52,500$0$0$No---------------------------Lien / Lien NHL
Samuel SavoieMilwaukee Admirals (NSH)C/LW212004-07-06CANYes190 Lbs5 ft10NoNoProspectNoNo102025-07-15FalseFalseFarm Only100,000$4,375$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$NoNoNoNoNoNoNoNoNoLien
Ty NelsonMilwaukee Admirals (NSH)D212004-07-06CANYes198 Lbs5 ft10NoNoProspectNoNo92025-02-01FalseFalseFarm Only100,000$4,375$0$0$No100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$-100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$-NoNoNoNoNoNoNoNo-Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2924.03195 Lbs6 ft26.00386,207$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jakob PelletierMax JonesSam Lafferty32122
2Gage GoncalvesRasmus AsplundJudd Caulfield32122
3Rasmus AsplundAxel Jonsson-FjallbyNathan Gaucher29122
4Jakob PelletierRasmus AsplundMax Jones7122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty NelsonRyan Jones40122
2Joseph CecconiJake Livingstone35122
3Ty NelsonJack Rathbone25122
4Ty NelsonJack Rathbone0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Gage GoncalvesJakob PelletierSam Lafferty60122
2Max JonesNathan GaucherJudd Caulfield40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty NelsonJake Livingstone60122
2Ryan JonesJack Rathbone40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sam LaffertyJakob Pelletier60122
2Gage GoncalvesJudd Caulfield40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty NelsonRyan Jones60122
2Joseph CecconiJake Livingstone40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sam Lafferty60122Ty NelsonRyan Jones60122
2Jakob Pelletier40122Joseph CecconiJake Livingstone40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Gage GoncalvesJakob Pelletier60122
2Sam LaffertyJudd Caulfield40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty NelsonJake Livingstone60122
2Joseph CecconiJack Rathbone40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakob PelletierGage GoncalvesSam LaffertyTy NelsonJake Livingstone
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakob PelletierGage GoncalvesSam LaffertyTy NelsonJake Livingstone
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nathan Gaucher, Jakob Pelletier, Sam LaffertyNathan Gaucher, Sam LaffertySam Lafferty
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Joseph Cecconi, Ty Nelson, Jake LivingstoneJoseph CecconiTy Nelson, Jake Livingstone
Tirs de pénalité
Gage Goncalves, Jakob Pelletier, Sam Lafferty, Judd Caulfield, Max Jones
Gardien
#1 : Jesper Vikman, #2 : Akira Schmid
Lignes d’attaque personnalisées en prolongation
Sam Lafferty, Jakob Pelletier, Jakub Demek, Gage Goncalves, Rasmus Asplund, Axel Jonsson-Fjallby, Nathan Gaucher, Judd Caulfield, Max Jones, Henrik Rybinski
Lignes de défense personnalisées en prolongation
Ryan Jones, Jack Rathbone, Jake Livingstone, Joseph Cecconi, Ty Nelson


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicile Visiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT RI
1Abbotsford Canucks3120000067-1211000003301010000034-120.3336111701647066895698744755418822245614321.43%12191.67%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
2Bakersfield Condors30300000611-51010000023-12020000048-400.000610161064706688369874475541882027817114.29%100100.00%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
3Belleville Senators21100000972110000005231010000045-120.500914230064706685669874475541712025437114.29%10190.00%11237257148.11%1308274447.67%592122348.41%1799121318895921023503
4Bridgeport Islanders211000005411010000012-11100000042220.500581300647066860698744755416130124411218.18%6183.33%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
5Calgary Wranglers21100000752110000004131010000034-120.500711180064706686969874475541461719521119.09%6183.33%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
6Charlotte Checkers2020000058-31010000023-11010000035-200.00058131064706685569874475541671410439111.11%50100.00%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
7Chicago Wolves2110000024-21010000014-31100000010120.500235016470668546987447554144133044300.00%150100.00%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
8Cleveland Monsters20100010611-51010000017-61000001054120.5006101600647066865698744755416019144014321.43%7271.43%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
9Coachella Valley Firebirds32100000131121010000016-522000000125740.66713233600647066885698744755419325416016212.50%17570.59%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
10Colorado Eagles30201000812-42010100068-21010000024-220.3338152310647066870698744755418733286910220.00%14378.57%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
11Grand Rapids Griffins2110000047-3110000004221010000005-520.5004711006470668506987447554165171636300.00%8187.50%11237257148.11%1308274447.67%592122348.41%1799121318895921023503
12Hartford Wolf Pack2010010013-21010000001-11000010012-110.2501230064706686369874475541641616489111.11%80100.00%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
13Henderson Silver Knights32000001853110000002022100000165150.83381422016470668113698744755417623205118316.67%90100.00%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
14Hershey Bears2020000048-41010000014-31010000034-100.0004711006470668536987447554148111035900.00%5180.00%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
15Iowa Wild31200000111011010000024-22110000096320.33311223300647066889698744755417624267412325.00%12191.67%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
16Laval Rocket2010100068-21010000025-31000100043120.500611170064706685469874475541611614589222.22%7271.43%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
17Lehigh Valley Phantoms2010100035-2100010002111010000014-320.500347006470668556987447554162213131600.00%70100.00%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
18Manitoba Moose321000001213-1220000009631010000037-440.6671222340064706688569874475541873012699222.22%6266.67%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
19Ontario Reign320000011082110000002112100000187150.83310172700647066888698744755418337287813430.77%12283.33%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
20Providence Bruins2020000014-31010000012-11010000002-200.00011200647066854698744755416821294410110.00%11190.91%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
21Rochester Americans2010100045-11010000035-21000100010120.50047111164706685269874475541671616405120.00%80100.00%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
22Rockford IceHogs404000001016-62020000037-42020000079-200.000101525106470668109698744755411392742877114.29%18383.33%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
23San Diego Gulls30300000312-92020000016-51010000026-400.000369006470668766987447554110127207413215.38%7271.43%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
24San Jose Barracuda31200000911-2211000007701010000024-220.333917260064706687969874475541942216677114.29%8187.50%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
25Springfield Thunderbirds422000001011-12110000045-12110000066040.500101929006470668110698744755411352830659111.11%15286.67%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
26Syracuse Crunch21100000752110000004041010000035-220.50071320016470668556987447554172202961200.00%11190.91%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
27Texas Stars4220000013121211000006512110000077040.5001323360164706681236987447554112933339324416.67%14285.71%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
28Toronto Marlies20001010532100010002111000001032141.00055100064706686669874475541733020459111.11%10190.00%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
29Tucson Roadrunners2010010059-41000010023-11010000036-310.25051015006470668616987447554146201649900.00%8275.00%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
30Utica Comets2110000067-11010000013-21100000054120.500612180064706685469874475541511518418112.50%9277.78%11237257148.11%1308274447.67%592122348.41%1799121318895921023503
31W-B/Scranton Penguins22000000853110000004221100000043141.0008142200647066846698744755415410103514214.29%50100.00%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
Total78244305222207247-403913220310088109-2139112102122119138-19660.423207361568566470668222769874475541235667768217133074614.98%3004086.67%31237257148.11%1308274447.67%592122348.41%1799121318895921023503
_Since Last GM Reset78244305222207247-403913220310088109-2139112102122119138-19660.423207361568566470668222769874475541235667768217133074614.98%3004086.67%31237257148.11%1308274447.67%592122348.41%1799121318895921023503
_Vs Conference46162601102131153-2223912011005465-1123714000027788-11370.402131235366336470668133569874475541136838838210251793016.76%1682783.93%01237257148.11%1308274447.67%592122348.41%1799121318895921023503
_Vs Division23714011006270-81146011002227-51238000004043-3170.3706210917112647066868869874475541669193195519991717.17%811285.19%01237257148.11%1308274447.67%592122348.41%1799121318895921023503

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7866L520736156822272356677682171356
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7824435222207247
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
391322310088109
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3911212122119138
Derniers 10 matchs
WLOTWOTL SOWSOL
190000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3074614.98%3004086.67%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
698744755416470668
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
1237257148.11%1308274447.67%592122348.41%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1799121318895921023503


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
218Coachella Valley Firebirds6Milwaukee Admirals1LSommaire du match
324Chicago Wolves4Milwaukee Admirals1LSommaire du match
538Milwaukee Admirals4Ontario Reign5LXXSommaire du match
866Milwaukee Admirals3Manitoba Moose7LSommaire du match
972Milwaukee Admirals3Iowa Wild4LSommaire du match
1189Hartford Wolf Pack1Milwaukee Admirals0LSommaire du match
14111Bridgeport Islanders2Milwaukee Admirals1LSommaire du match
16129Milwaukee Admirals3Calgary Wranglers4LSommaire du match
17137Bakersfield Condors3Milwaukee Admirals2LSommaire du match
19154Milwaukee Admirals3Abbotsford Canucks4LSommaire du match
22180Milwaukee Admirals4Texas Stars2WSommaire du match
23190Milwaukee Admirals1Springfield Thunderbirds4LSommaire du match
25206Tucson Roadrunners3Milwaukee Admirals2LXSommaire du match
27216Milwaukee Admirals3Toronto Marlies2WXXSommaire du match
30241Milwaukee Admirals4Belleville Senators5LSommaire du match
31250Milwaukee Admirals4Laval Rocket3WXSommaire du match
33267San Diego Gulls4Milwaukee Admirals0LSommaire du match
35282Milwaukee Admirals3Henderson Silver Knights1WSommaire du match
36291Utica Comets3Milwaukee Admirals1LSommaire du match
38303Milwaukee Admirals2Colorado Eagles4LSommaire du match
40325Cleveland Monsters7Milwaukee Admirals1LSommaire du match
42341Providence Bruins2Milwaukee Admirals1LSommaire du match
44357Laval Rocket5Milwaukee Admirals2LSommaire du match
45362Milwaukee Admirals3Texas Stars5LSommaire du match
47377Milwaukee Admirals0Grand Rapids Griffins5LSommaire du match
49393Milwaukee Admirals4Bridgeport Islanders2WSommaire du match
50403Milwaukee Admirals5Utica Comets4WSommaire du match
52420Milwaukee Admirals1Hartford Wolf Pack2LXSommaire du match
54439Calgary Wranglers1Milwaukee Admirals4WSommaire du match
56455Colorado Eagles3Milwaukee Admirals4WXSommaire du match
57465Milwaukee Admirals3Rockford IceHogs4LSommaire du match
59480Milwaukee Admirals1Chicago Wolves0WSommaire du match
61497Manitoba Moose5Milwaukee Admirals6WSommaire du match
63510Milwaukee Admirals3Charlotte Checkers5LSommaire du match
66537Milwaukee Admirals3Hershey Bears4LSommaire du match
68551Milwaukee Admirals5Cleveland Monsters4WXXSommaire du match
69564Rockford IceHogs2Milwaukee Admirals0LSommaire du match
72587Henderson Silver Knights0Milwaukee Admirals2WSommaire du match
73597Ontario Reign1Milwaukee Admirals2WSommaire du match
75612Milwaukee Admirals3Tucson Roadrunners6LSommaire du match
78633Colorado Eagles5Milwaukee Admirals2LSommaire du match
79646Rochester Americans5Milwaukee Admirals3LSommaire du match
81655Milwaukee Admirals0Providence Bruins2LSommaire du match
83681Milwaukee Admirals5Springfield Thunderbirds2WSommaire du match
84688Abbotsford Canucks0Milwaukee Admirals3WSommaire du match
86702Manitoba Moose1Milwaukee Admirals3WSommaire du match
88721Grand Rapids Griffins2Milwaukee Admirals4WSommaire du match
91746Milwaukee Admirals5Coachella Valley Firebirds1WSommaire du match
93762Milwaukee Admirals1Bakersfield Condors3LSommaire du match
96787Milwaukee Admirals3Syracuse Crunch5LSommaire du match
98800Abbotsford Canucks3Milwaukee Admirals0LSommaire du match
101817Texas Stars0Milwaukee Admirals3WSommaire du match
102828Syracuse Crunch0Milwaukee Admirals4WSommaire du match
105857Milwaukee Admirals7Coachella Valley Firebirds4WSommaire du match
106863San Jose Barracuda2Milwaukee Admirals4WSommaire du match
108882Milwaukee Admirals2San Jose Barracuda4LSommaire du match
110897Texas Stars5Milwaukee Admirals3LSommaire du match
112914San Diego Gulls2Milwaukee Admirals1LSommaire du match
114922Springfield Thunderbirds2Milwaukee Admirals3WSommaire du match
115934Milwaukee Admirals6Iowa Wild2WSommaire du match
117948W-B/Scranton Penguins2Milwaukee Admirals4WSommaire du match
120977Toronto Marlies1Milwaukee Admirals2WXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
122993Milwaukee Admirals2San Diego Gulls6LSommaire du match
1231003Milwaukee Admirals4Ontario Reign2WSommaire du match
1251018Milwaukee Admirals3Henderson Silver Knights4LXXSommaire du match
1281042Lehigh Valley Phantoms1Milwaukee Admirals2WXSommaire du match
1301058Belleville Senators2Milwaukee Admirals5WSommaire du match
1331078Milwaukee Admirals1Rochester Americans0WXSommaire du match
1341092Hershey Bears4Milwaukee Admirals1LSommaire du match
1371119Iowa Wild4Milwaukee Admirals2LSommaire du match
1381126Charlotte Checkers3Milwaukee Admirals2LSommaire du match
1401137Milwaukee Admirals4Rockford IceHogs5LSommaire du match
1421154Milwaukee Admirals4W-B/Scranton Penguins3WSommaire du match
1431166Milwaukee Admirals3Bakersfield Condors5LSommaire du match
1451183San Jose Barracuda5Milwaukee Admirals3LSommaire du match
1471194Rockford IceHogs5Milwaukee Admirals3LSommaire du match
1481206Springfield Thunderbirds3Milwaukee Admirals1LSommaire du match
1531242Milwaukee Admirals1Lehigh Valley Phantoms4LSommaire du match
1551266Iowa Wild-Milwaukee Admirals-
1571278Calgary Wranglers-Milwaukee Admirals-
1591296Milwaukee Admirals-Colorado Eagles-
1601312Milwaukee Admirals-Tucson Roadrunners-



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

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
2 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,073,750$ 1,120,000$ 1,120,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,000$ 1,073,750$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 7 7,000$ 49,000$




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