MILWAUKEE Admirals
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Louis Bourgault | Morale : 99 | Moyenne d’équipe : 66
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Meneurs d'équipe

Statistiques d’équipe
Buts pour
0
nan GFG
Tirs pour
0
nan Avg
Pourcentage en avantage numérique
nan%
0 GF
Début de zone offensive
nan%
Buts contre
0
nan GAA
Tirs contre
0
nan Avg
Pourcentage en désavantage numérique
nan%
0 GA
Début de la zone défensive
nan%
Information d’équipe

Directeur généralLouis Bourgault
EntraîneurDavis Payne
DivisionGuitard
ConférenceConference B
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistancenan
Billets de saison300


Information formation

Équipe Pro22
Équipe Mineure18
Limite contact 40 / 55
Espoirs18


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique51-21-11 (0.614%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)1-4
Stanley Cup0


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
1Brendan LemieuxXX100.0087826366807687655967636462706576997102431,250,000$
2Michael McCarron (R)XX100.007885576299828559665860645771667799700254750,000$
3Emil BemstromXX100.006835956973778168636667626863646199700212750,000$
4Pontus AbergXX100.005135957073798168556664636575676399690262750,000$
5Clark Bishop (R)X100.007939866377818462716661626469635599690244750,000$
6Brett MurrayX100.008375796295767763576261646365666299690222750,000$
7Markus HannikainenX100.006835936277787463556162566375683699670275750,000$
8Otto Somppi (R)X100.006736806279788363776159566265634999670224750,000$
9Michael Spacek (R)X100.006135936071878258695961566267645999660234750,000$
10Reid Duke (R)X100.006437685873677257705659545869654899620244750,000$
11Matej Pekar (R)X100.006536545974717658555653545861636799620204750,000$
12Tomas Hyka (R)X100.005135736964585868566665576651504799610275750,000$
13Sergey TolchinskyX100.004842746054536060506257605750504499570255750,000$
14Tucker PoolmanX100.007939926680878564307059685275694899720272750,000$
15Maxime LajoieX100.005335957277817465306358625067645699680222750,000$
16Frederic Allard (R)X100.005335916673837664306356585067646399660224750,000$
17Jack Dougherty (R)X100.007137865680818654305652584669656899650244750,000$
18Olivier Leblanc (R)X100.005937665669656154305551534569654899590241750,000$
Rayé
1Rocco GrimaldiXX100.0056359474628587735870686174757065997202731,300,000$
2Thomas SchemitschX100.007735736086818461306254634769656199680236750,000$
MOYENNE D’ÉQUIPE100.00664380647676786252626060586764589967
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 SP
1Charlie Lindgren100.00758079767473757473757476825499690
2Samuel Montembeault (R)100.00676872816971706969666650594499620
Rayé
MOYENNE D’ÉQUIPE100.0071747679727273727171706371499966
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Davis Payne70636466757075CAN501300,000$


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
Brendan LemieuxMILWAUKEE Admirals (NSH)LW/RW2415/03/1996No97 Kg185 CMNoNoNo3Pro & Farm1,250,000$1,250,000$750,000$750,000$0$0$No1,250,000$1,250,000$Lien
Brett MurrayMILWAUKEE Admirals (NSH)LW2220/07/1998No104 Kg196 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Charlie LindgrenMILWAUKEE Admirals (NSH)G2618/12/1993No83 Kg185 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Clark BishopMILWAUKEE Admirals (NSH)C2429/03/1996Yes90 Kg185 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$
Emil BemstromMILWAUKEE Admirals (NSH)LW/RW2101/06/1999No88 Kg183 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Frederic AllardMILWAUKEE Admirals (NSH)D2227/12/1997Yes81 Kg185 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$
Jack DoughertyMILWAUKEE Admirals (NSH)D2425/05/1996Yes89 Kg188 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$
Markus HannikainenMILWAUKEE Admirals (NSH)LW2726/03/1993No91 Kg185 CMNoNoNo5Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$750,000$Lien
Matej PekarMILWAUKEE Admirals (NSH)LW2010/02/2000Yes84 Kg185 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$
Maxime LajoieMILWAUKEE Admirals (NSH)D2205/11/1997No89 Kg185 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Michael McCarronMILWAUKEE Admirals (NSH)C/RW2507/03/1995Yes105 Kg198 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$
Michael SpacekMILWAUKEE Admirals (NSH)C2309/04/1997Yes85 Kg180 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$
Olivier LeblancMILWAUKEE Admirals (NSH)D2417/02/1996Yes78 Kg183 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$No
Otto SomppiMILWAUKEE Admirals (NSH)C2212/01/1998Yes87 Kg188 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$
Pontus AbergMILWAUKEE Admirals (NSH)LW/RW2623/09/1993No88 Kg183 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Reid DukeMILWAUKEE Admirals (NSH)C2428/01/1996Yes87 Kg183 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$
Rocco GrimaldiMILWAUKEE Admirals (NSH)C/RW2708/02/1993No82 Kg168 CMNoNoNo3Pro & Farm1,300,000$1,300,000$1,300,000$1,300,000$0$0$No1,300,000$1,300,000$Lien
Samuel Montembeault (contrat à 1 volet)MILWAUKEE Admirals (NSH)G2330/10/1996Yes87 Kg191 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$750,000$750,000$NoLien
Sergey TolchinskyMILWAUKEE Admirals (NSH)LW2503/02/1995No77 Kg173 CMNoNoNo5Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$750,000$Lien
Thomas SchemitschMILWAUKEE Admirals (NSH)D2326/10/1996No91 Kg193 CMNoNoNo6Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Tomas HykaMILWAUKEE Admirals (NSH)RW2723/03/1993Yes73 Kg180 CMNoNoNo5Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$750,000$Lien
Tucker PoolmanMILWAUKEE Admirals (NSH)D2708/06/1993No90 Kg188 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2224.0088 Kg185 CM3.36797,727$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
137122
2Brett MurrayPontus Aberg32122
3Pontus AbergTomas Hyka26122
4Sergey Tolchinsky5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maxime Lajoie31122
226122
3Maxime Lajoie23122
420122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Markus HannikainenPontus Aberg55005
2Brett Murray45005
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maxime Lajoie55113
245113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
155122
2Brett Murray45122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maxime Lajoie55122
245122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
155122Maxime Lajoie55122
24512245122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
155122
245122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maxime Lajoie55122
245122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett MurrayMaxime Lajoie
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett MurrayMaxime Lajoie
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Markus Hannikainen, Sergey Tolchinsky, Pontus AbergMarkus Hannikainen, Sergey TolchinskyPontus Aberg
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Maxime Lajoie, , Maxime Lajoie,
Tirs de pénalité
Brett Murray, , , , Pontus Aberg
Gardien
#1 : Samuel Montembeault, #2 :
Lignes d’attaque personnalisées en prolongation
Brett Murray, , , , Pontus Aberg, Markus Hannikainen, Markus Hannikainen, Tomas Hyka, Sergey Tolchinsky, ,
Lignes de défense personnalisées en prolongation
Maxime Lajoie, , , ,


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$ 1,680,000$ 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$ 0 0$ 0$




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
36804321063253191631564022120220215781764021904123162828011031957289121414699668286092593195867226867028911852314720.35%1211389.26%41285237654.08%1104244645.13%630120152.46%209015521826514944485
Total Saison régulière804321063253191631564022120220215781764021904123162828011031957289121414699668286092593195867226867028911852314720.35%1211389.26%41285237654.08%1104244645.13%630120152.46%209015521826514944485
Séries éliminatoires
3651400000612-62110000045-13030000027-526101601312011744353801574534711800.00%15193.33%06014541.38%6718236.81%337047.14%10365133376330
Total Séries éliminatoires51400000612-62110000045-13030000027-526101601312011744353801574534711800.00%15193.33%06014541.38%6718236.81%337047.14%10365133376330