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MILWAUKEE Admirals
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Louis Bourgault | Morale : 99 | Moyenne d’équipe : 66
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralLouis Bourgault
EntraîneurRoy Sommer
DivisionGuitard
ConférenceConference B
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure19
Limite contact 41 / 55
Espoirs25


Historique d'équipe

Saison actuelle0-0
Historique120-103-8 (0.519%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0-0
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 CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Rocco GrimaldiXX100.0056359474628587735870686174757065997202821,300,000$
2Michael McCarron (R)XX100.007885576299828559665860645771667799700263750,000$
3Emil BemstromXX100.006835956973778168636667626863646199700221750,000$
4Pontus AbergXX100.005135957073798168556664636575676399690271750,000$
5Clark Bishop (R)X100.007939866377818462716661626469635599690253750,000$
6Brett MurrayX100.008375796295767763576261646365666299690231750,000$
7Markus HannikainenX100.006835936277787463556162566375683699670284750,000$
8Otto Somppi (R)X100.006736806279788363776159566265634999670233750,000$
9Michael Spacek (R)X100.006135936071878258695961566267645999660243750,000$
10Reid Duke (R)X100.006437685873677257705659545869654899620253750,000$
11Matej Pekar (R)X100.006536545974717658555653545861636799620213750,000$
12Tomas Hyka (R)X100.005135736964585868566665576651504799610284750,000$
13Sergey TolchinskyX100.004842746054536060506257605750504499570264750,000$
14Tucker PoolmanX100.007939926680878564307059685275694899720281750,000$
15Thomas SchemitschX100.007735736086818461306254634769656199680245750,000$
16Maxime LajoieX100.005335957277817465306358625067645699680231750,000$
17Zac Jones (R)X100.005735946569817867307455675261636699680203750,000$
18Frederic Allard (R)X100.005335916673837664306356585067646399660233750,000$
19Jack Dougherty (R)X100.007137865680818654305652584669656899650253750,000$
20Olivier Leblanc (R)X100.005937665669656154305551534569654899590254750,000$
Rayé
MOYENNE D’ÉQUIPE100.00644182647577776251635960586764579966
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
1Charlie Lindgren100.00758079767473757473757476825499690272750,000$
2Samuel Montembeault (R)100.00676872816971706969666650594499620244850,000$
Rayé
MOYENNE D’ÉQUIPE100.0071747679727273727171706371499966
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Roy Sommer68646564999347USA656300,000$


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Brett MurrayMILWAUKEE Admirals (NSH)LW237/20/1998No104 Kg196 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Charlie LindgrenMILWAUKEE Admirals (NSH)G2712/18/1993No83 Kg185 CMNoNoNo2Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$Lien
Clark BishopMILWAUKEE Admirals (NSH)C253/29/1996Yes90 Kg185 CMNoNoNo3Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$
Emil BemstromMILWAUKEE Admirals (NSH)LW/RW226/1/1999No88 Kg183 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Frederic AllardMILWAUKEE Admirals (NSH)D2312/27/1997Yes81 Kg185 CMNoNoNo3Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$
Jack DoughertyMILWAUKEE Admirals (NSH)D255/25/1996Yes89 Kg188 CMNoNoNo3Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$
Markus HannikainenMILWAUKEE Admirals (NSH)LW283/26/1993No91 Kg185 CMNoNoNo4Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$750,000$Lien
Matej PekarMILWAUKEE Admirals (NSH)LW212/10/2000Yes84 Kg185 CMNoNoNo3Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$
Maxime LajoieMILWAUKEE Admirals (NSH)D2311/5/1997No89 Kg185 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Michael McCarronMILWAUKEE Admirals (NSH)C/RW263/7/1995Yes105 Kg198 CMNoNoNo3Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$
Michael SpacekMILWAUKEE Admirals (NSH)C244/9/1997Yes85 Kg180 CMNoNoNo3Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$
Olivier LeblancMILWAUKEE Admirals (NSH)D252/17/1996Yes78 Kg183 CMNoNoNo4Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$750,000$
Otto SomppiMILWAUKEE Admirals (NSH)C231/12/1998Yes87 Kg188 CMNoNoNo3Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$
Pontus AbergMILWAUKEE Admirals (NSH)LW/RW279/23/1993No88 Kg183 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Reid DukeMILWAUKEE Admirals (NSH)C251/28/1996Yes87 Kg183 CMNoNoNo3Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$
Rocco GrimaldiMILWAUKEE Admirals (NSH)C/RW282/8/1993No82 Kg168 CMNoNoNo2Pro & Farm1,300,000$1,114,286$1,300,000$1,114,286$0$0$No1,300,000$Lien
Samuel Montembeault (contrat à 1 volet)MILWAUKEE Admirals (NSH)G2410/30/1996Yes87 Kg191 CMNoNoNo4Pro & Farm850,000$728,571$850,000$728,571$850,000$728,571$No850,000$850,000$850,000$Lien
Sergey TolchinskyMILWAUKEE Admirals (NSH)LW262/3/1995No77 Kg173 CMNoNoNo4Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$750,000$Lien
Thomas SchemitschMILWAUKEE Admirals (NSH)D2410/26/1996No91 Kg193 CMNoNoNo5Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$750,000$750,000$Lien
Tomas HykaMILWAUKEE Admirals (NSH)RW283/23/1993Yes73 Kg180 CMNoNoNo4Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$750,000$Lien
Tucker PoolmanMILWAUKEE Admirals (NSH)D286/8/1993No90 Kg188 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Zac JonesMILWAUKEE Admirals (NSH)D2010/18/2000Yes84 Kg180 CMNoNoNo3Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2224.7787 Kg185 CM2.77779,545$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Emil BemstromRocco GrimaldiMichael McCarron31122
2Brett MurrayClark BishopPontus Aberg26122
3Markus HannikainenOtto SomppiTomas Hyka23122
4Matej PekarMichael SpacekRocco Grimaldi20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tucker PoolmanZac Jones31122
2Thomas SchemitschMaxime Lajoie26122
3Frederic AllardJack Dougherty23122
4Olivier LeblancTucker Poolman20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Emil BemstromRocco GrimaldiMichael McCarron55122
2Brett MurrayClark BishopPontus Aberg45122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tucker PoolmanZac Jones55122
2Thomas SchemitschMaxime Lajoie45122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Rocco GrimaldiMichael McCarron55122
2Emil BemstromBrett Murray45122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tucker PoolmanZac Jones55122
2Thomas SchemitschMaxime Lajoie45122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Rocco Grimaldi55122Tucker PoolmanZac Jones55122
2Michael McCarron45122Thomas SchemitschMaxime Lajoie45122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Rocco GrimaldiMichael McCarron55122
2Emil BemstromBrett Murray45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tucker PoolmanZac Jones55122
2Thomas SchemitschMaxime Lajoie45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Emil BemstromRocco GrimaldiMichael McCarronTucker PoolmanZac Jones
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Emil BemstromRocco GrimaldiMichael McCarronTucker PoolmanZac Jones
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Reid Duke, Sergey Tolchinsky, Otto SomppiReid Duke, Sergey TolchinskyOtto Somppi
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Frederic Allard, Jack Dougherty, Olivier LeblancFrederic AllardJack Dougherty, Olivier Leblanc
Tirs de pénalité
Rocco Grimaldi, Michael McCarron, Emil Bemstrom, Brett Murray, Pontus Aberg
Gardien
#1 : Charlie Lindgren, #2 : Samuel Montembeault
Lignes d’attaque personnalisées en prolongation
Rocco Grimaldi, Michael McCarron, Emil Bemstrom, Brett Murray, Pontus Aberg, Clark Bishop, Clark Bishop, Otto Somppi, Markus Hannikainen, Michael Spacek, Reid Duke
Lignes de défense personnalisées en prolongation
Tucker Poolman, Zac Jones, Thomas Schemitsch, Maxime Lajoie, Frederic Allard


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%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
000.00%000.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
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
000.00%000.00%000.00%
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
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,630,000$ 1,630,000$ 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$ 12 0$ 0$




MILWAUKEE Admirals Leaders statistiques (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
13603354067419752627708260912.84%402935725.998318526825121133470301051.68%241.5812
2330253324577148422649303174114.53%235621818.8410710721425616244072291251.45%201.8611
34001852604459138488430164711.23%218711017.785176127139913227528258.72%121.2501
44001832414246310313412161311.35%265647116.184185126101101216450.32%31.3101
540017222439615958769831696117.90%226714517.86707514515875122313652.91%131.1111

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
1320156133310.9123.521919526111271276964461460.90911
277443200.9173.4645508026231531698020.0000

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
3780373303700362284784020150140019013555401718023001721492387362578940209614611733388113411761070832071140578150125710139.30%2417270.12%141090197455.22%1058210950.17%763136156.06%1809104515946731406754
3780373303700361283784020150140018913455401718023001721492387361576937109714411733383113211671076832051146576149825810239.53%2407170.42%131092197955.18%1055210350.17%763135756.23%1806104215986731406754
388036370232033829642402016021101831453840162100210155151483338536874218013412063356110112191023243299104850715432379138.40%2379161.60%91070202852.76%1027199951.38%705133552.81%1772101415926961449756
Total Saison régulière24011010308172010618631981206046049105624141481205057048104994495025710611690275151273424354121012733673562316940971133341661454275229439.10%71823467.41%363252598154.37%3140621150.56%2231405355.05%538831024784204242622264

MILWAUKEE Admirals Leaders statistiques (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