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Milwaukee Admirals
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Emil Gilliusson | Morale : 50 | Moyenne d’équipe : 57
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralEmil Gilliusson
EntraîneurJeff Blashill
DivisionCentral
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité7,500
Assistance
Billets de saison750


Informations de la formation

Équipe Pro14
Équipe Mineure13
Limite contact 27 / 50
Espoirs28


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique215-105-38 (0.601%)
Apparitions en séries éliminatoires 5
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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Matthew Wood0XX100.00754095747266887568757455554741047660211950,000$
2Zachary L'Heureux68X100.00927089686168697045647074594844047660232875,000$
3Owen Beck0XX100.0079418960786083618860625954444405060X0221853,333$
4Cole Guttman0X100.00635385635550886375626456575249050570271875,000$
5Tristan Allard0X100.00715783576050895675585657504545050540241975,000$
6Navrin Mutter0X100.00807671526450745345525056464847050530251850,000$
7Simon Robertsson0XX100.0066558753595074535555525347454505052X0231867,500$
8Milo Roelens0X100.00675585506450644845554661424545050510231800,000$
9Austin Roest0X100.00625387525550755175555153454444050500221870,000$
10Ryan Ufko0X100.00693791746563806625756169534545050630231925,000$
11William Lagesson6X100.00685687586250855425555179475852050580301775,000$
12Oliver Bonk0X100.00613389605850775925555363504343050540212886,667$
13Matt Kiersted34X100.00635385555650795225525367475450050540281775,000$
Rayé
MOYENNE D’ÉQUIPE100.0070528660625479595259576250484605057
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Henrik Tikkanen0100.0062594684626160586164505447050560251850,000$
Rayé
MOYENNE D’ÉQUIPE100.006259468462616058616450544705056
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Blashill7278758081771USA5222,000,000$


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
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis 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
Austin RoestMilwaukee Admirals (NAS)C222004-01-22CANNo75 Kg178 CMNoNoProspectNoNo12026-06-08FalseFalsePro & Farm870,000$870,000$0$0$No---------------------------Lien
Cole GuttmanMilwaukee Admirals (NAS)C271999-04-05USANo75 Kg178 CMNoNoAssign ManuallyNoNo12025-08-22FalseFalsePro & Farm875,000$875,000$0$0$No---------------------------Lien / Lien NHL
Henrik TikkanenMilwaukee Admirals (NAS)G252000-09-28FINNo91 Kg201 CMNoNoTrade2025-12-17YesNo12026-07-19FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Matt KierstedMilwaukee Admirals (NAS)D281998-04-04USANo75 Kg180 CMNoNoAssign ManuallyYesNo12026-05-07FalseFalsePro & Farm775,000$775,000$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
Navrin MutterMilwaukee Admirals (NAS)LW252001-03-15CANNo91 Kg193 CMNoNoFree AgentYesNo12026-07-03FalseFalsePro & Farm850,000$850,000$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 CMNoYesTrade2026-03-08NoNo12025-06-16FalseFalsePro & Farm853,333$853,333$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
Simon RobertssonMilwaukee Admirals (NAS)LW/RW232003-02-05SWENo86 Kg183 CMNoYesProspectNoNo12025-07-01FalseFalsePro & Farm867,500$867,500$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
William LagessonMilwaukee Admirals (NAS)D301996-02-22SWENo89 Kg188 CMNoNoTrade2024-02-25YesNo12025-06-29FalseFalsePro & 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
1424.0784 Kg185 CM1.14866,250$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Owen Beck35014
230014
3Tristan Allard20032
4Milo RoelensSimon Robertsson15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan Ufko50014
2William LagessonMatt Kiersted30023
320131
4Matt KierstedRyan Ufko0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Owen Beck60005
240005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160014
2Ryan Ufko40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160131
2Tristan Allard40221
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William LagessonMatt Kiersted60131
2Ryan UfkoMatt Kiersted40230
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160230Ryan UfkoMatt Kiersted60131
240140William Lagesson40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160113
2Owen Beck40212
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan UfkoWilliam Lagesson60122
2Matt Kiersted40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan UfkoWilliam Lagesson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matt Kiersted
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Owen Beck, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Ryan Ufko, , Matt Kiersted
Tirs de pénalité
, , , , Owen Beck
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , Owen Beck, , , Tristan Allard, , Simon Robertsson
Lignes de défense personnalisées en prolongation
, William Lagesson, Ryan Ufko, Matt Kiersted,


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité50002500
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 0 - 0%0$0$7500100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,125,250$ 1,125,250$ 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$ 0 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