Connexion

Milwaukee Admirals
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Richard Miller | Morale : 50 | Moyenne d’équipe : 69

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralRichard Miller
DivisionCentral
ConférenceWestern Conference
CapitaineAlexandre Doucet
Assistant #1Ozzy Wiesblatt
Assistant #2Joakim Kemell


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro17
Équipe Mineure16
Limite Contrat33 / 50
Espoirs59


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique158-138-28 (0.488%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)3 - 4 (0.429%)
Coupe Stanley0


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
1Seth GriffithX100.006832927664879476737472737299960507213312,500,000$
2Joakim Kemell (R) (A)X100.007033888172828473646969726578770507002211,000,000$
3Ozzy Wiesblatt (R) (A)XXX100.00815571777080836870686773667677050690241900,000$
4Anthony AngelloXX100.00773783758479836777676573628483050690301800,000$
5Marc JohnstoneXX100.00704690786982826763656472606872050670302800,000$
6Cole SmithX100.007565816975788067636566716377740506703131,200,000$
7Alexandre Doucet (R) (C)XXX100.00633585807578816669666269566766050660241500,000$
8Jordan Harris (R)X100.007430868471869169306961775076800507212611,000,000$
9Kevin GravelX100.00744088748084836430645575499089050700341950,000$
10Jack Matier (R)X100.00713085748173766230605569496765050660231700,000$
11Nathan Staios (R)X100.00653086816576766230595870506569050660251650,000$
Rayé
1James Hamblin (R)XX100.006830947766768065736464716473760506602700$
2Samuel LabergeXXX100.007882747082807766676464695771690506602900$
3Marshall Rifai (R)X100.007046817772868866306561745072720507002800$
4Wyatt NewpowerX100.007630837277828566306561744676780507002900$
5Louka Henault (R)X100.00653088736876755930605867486260050640251500,000$
MOYENNE D’ÉQUIPE100.0072418576738082665265637257757505068
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
1Jonas Johansson100.00908484939090909091868792890508713111,000,000$
Rayé
MOYENNE D’ÉQUIPE100.009084849390909090918687928905087
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
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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alexandre DoucetMilwaukee Admirals (NSH)C/LW/RW242002-01-12CANYes197 Lbs5 ft11NoNoAssign ManuallyNoNo12025-11-12FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Anthony AngelloMilwaukee Admirals (NSH)C/RW301996-03-06USANo210 Lbs6 ft5NoNoAssign ManuallyNoNo12024-11-15FalseFalsePro & Farm800,000$0$0$No---------------------------Lien / Lien NHL
Cole SmithMilwaukee Admirals (NSH)LW311995-10-28USANo195 Lbs6 ft3NoNoAssign ManuallyNoNo32025-11-10FalseFalsePro & Farm1,200,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien / Lien NHL
Jack MatierMilwaukee Admirals (NSH)D232003-04-08CANYes205 Lbs6 ft6NoNoProspectNoNo12024-10-16FalseFalsePro & Farm700,000$0$0$No---------------------------Lien / Lien NHL
James HamblinMilwaukee Admirals (NSH)C/LW271999-04-27CANYes176 Lbs5 ft9NoNoN/ANoNo02024-07-23FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Joakim KemellMilwaukee Admirals (NSH)RW222004-04-27FINYes182 Lbs5 ft11NoNoProspectNoNo12024-10-14FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Jonas JohanssonMilwaukee Admirals (NSH)G311995-09-19SWENo219 Lbs6 ft5NoNoAssign ManuallyNoNo12024-11-15FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Jordan HarrisMilwaukee Admirals (NSH)D262000-07-07USAYes189 Lbs5 ft11NoNoTrade2026-08-22NoNo12025-09-01FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Kevin GravelMilwaukee Admirals (NSH)D341992-03-06USANo205 Lbs6 ft4NoNoAssign ManuallyNoNo12025-11-12FalseFalsePro & Farm950,000$0$0$No---------------------------Lien / Lien NHL
Louka HenaultMilwaukee Admirals (NSH)D252001-01-31CANYes179 Lbs6 ft0NoNoAssign ManuallyNoNo12025-11-13FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Marc JohnstoneMilwaukee Admirals (NSH)LW/RW301996-06-19USANo181 Lbs6 ft0NoNoAssign ManuallyNoNo22024-11-18FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Marshall RifaiMilwaukee Admirals (NSH)D281998-03-16CANYes185 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Nathan StaiosMilwaukee Admirals (NSH)D252001-05-17CANYes170 Lbs5 ft8NoNoAssign ManuallyNoNo12024-11-18FalseFalsePro & Farm650,000$0$0$No---------------------------Lien / Lien NHL
Ozzy WiesblattMilwaukee Admirals (NSH)C/LW/RW242002-03-09CANYes183 Lbs5 ft10NoNoTrade2026-01-11NoNo12025-10-04FalseFalsePro & Farm900,000$0$0$No---------------------------Lien / Lien NHL
Samuel LabergeMilwaukee Admirals (NSH)C/LW/RW291997-04-10CANNo205 Lbs6 ft2NoNoAssign ManuallyNoNo02024-11-15FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Seth GriffithMilwaukee Admirals (NSH)RW331993-01-04CANNo190 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm2,500,000$0$0$No---------------------------Lien / Lien NHL
Wyatt NewpowerMilwaukee Admirals (NSH)D291997-12-09USANo194 Lbs6 ft3NoNoN/ANoNo02024-07-25FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1727.71192 Lbs6 ft10.94735,294$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ozzy Wiesblatt32023
2Marc JohnstoneAnthony AngelloSeth Griffith29023
3Cole SmithJoakim Kemell29023
4Alexandre Doucet10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack Matier33041
2Kevin Gravel30041
330041
4Kevin Gravel7041
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole SmithSeth Griffith50005
2Marc JohnstoneAnthony Angello50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin Gravel50005
250005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150122
2Anthony AngelloOzzy Wiesblatt50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin Gravel50122
250122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150122Kevin Gravel50122
2Anthony Angello5012250122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ozzy Wiesblatt50122
2Anthony AngelloCole Smith50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin Gravel50122
250122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Seth GriffithKevin Gravel
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ozzy WiesblattSeth GriffithKevin Gravel
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joakim Kemell, Alexandre Doucet, Marc JohnstoneSeth Griffith,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Jack Matier, , Jack Matier
Tirs de pénalité
Seth Griffith, , , Anthony Angello, Joakim Kemell
Gardien
#1 : , #2 : Jonas Johansson


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
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
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,250,000$ 1,250,000$ 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
1Seth Griffith313871262137482035119469.20%40529716.9372027121000010349.06%10.80427
2Urho Vaakanainen32727126153-401245724523577.56%434730922.35821291421342240%00.4200
3Nikolai Knyzhov32828106134201365553752859.82%409631619.2671421880110600%00.4200
4A.J. Greer2444776123-101426323085808.10%40412916.933363200003148.41%00.60413
5Brandon Gignac2464476120-6281384685517.99%42438317.82191041011119346.19%00.55214

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
1Kyle Keyser94424140.9012.9253116125826080330.90922
2Christopher Gibson82392990.9032.7946112221421990410.67446
3Jonas Johansson943937130.9072.74540810524726570230.84432
4Garret Sparks41181630.9082.6722482210010880010.75641
5Arvid Soderblom106310.9281.90599221926400100

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
202282313701364244244041162201110107112-5411515002541371325832444296733285836910248180179586948237476543019192053014.63%1833978.69%21378283448.62%1390273650.80%646135647.64%1967136319286031079543
20238235330325425024010411917001311321248411616031231181162922504396891188757915251783979486756243771439918572163918.06%1743480.46%01402282949.56%1303272347.85%640130149.19%1958136219385991072536
202482273304855216240-2441131504414108125-1741141800441108115-7852163815974469706811237072584676571246475150119111842815.22%2214181.45%51285275446.66%1335281847.37%600126647.39%1921132120036071071533
202582333503254207209-24117180121210698841161702042101111-10882073655721683585815240880881377355239872344318841962914.80%1963184.18%21436283150.72%1470278252.84%621123950.12%1968136219505971053528
Total Saison régulière328126138011152117917933-16164657206867453459-616461660571510464474-1034891716142531913325286274519776317332483274230967329531773757180112615.73%77414581.27%955011124848.91%54981105949.72%2507516248.57%781654107820240842772141
Séries éliminatoires
2023734000002421331200000810-24220000016115624436700108602249063647167474019717423.53%17194.12%012726647.74%11123247.84%5612046.67%171116159509247
Total Séries éliminatoires734000002421331200000810-24220000016115624436700108602249063647167474019717423.53%17194.12%012726647.74%11123247.84%5612046.67%171116159509247

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
1Kiefer Sherwood755103210112025.00%212217.55011400000042.86%11.6300
2Brandon Pirri7426-307131723.53%112918.48202400000061.54%00.9300
3Seth Griffith715632118263.85%111917.07112400000036.36%01.0000
4Urho Vaakanainen7066-18177100%916323.3302250000000%00.7300
5Riley Sheahan732550892213.64%011917.12000000040116.67%00.8300

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
1Christopher Gibson73310.8742.99422002116700000