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Milwaukee Admirals (VAN)
GP: 0 | W: 0 | L: 0 | T: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: | Morale : 50 | Moyenne d’équipe : 60
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur général
DivisionSmythe
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro18
Équipe Mineure19
Limite contact 37 / 50
Espoirs3


Historique d'équipe

Saison actuelle0-0-0 ( 0PTS)
Historique32-34-14 (0.386%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)3-4
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
1Dave Capuano0X100.005035806774735678717771696740360506202200$
2Jim Sandlak0X100.00756666618073657366707467695641050620242190,000$
3Petr Nedved0X100.00503183737478767679726955703737050610192175,000$
4Gino Odjick0X100.0094863861817972686364676465366205061020295,000$
5Jay Mazur0X100.005132806177746571666970666740410506002500$
6Dixon Ward0X100.0065638565738276677067676367434205060021265,000$
7Rob Murphy0X100.00727463667881726772696554644041050590213175,433$
8David Mackey0X100.00837150637877695555575762594743050560241120,000$
9Jack Capuano0X100.00593872727077666635656363623837050580241100,000$
10Don Gibson0X100.00857248617675595435545067534038050570232110,000$
11Jim Agnew0X100.00877642647373534830484665473940050550242112,000$
Rayé
1Brian Bradley0X100.00512780725874738173797666715455050650252199,500$
2Shawn Antoski0X100.00918242588472665960555667583742050560202113,057$
3Cam Brown0X100.00726953607880725458565458563838050540212105,000$
4Kevan Guy0X100.00613579667674645130504767494648050570251117,140$
MOYENNE D’ÉQUIPE100.0070576465757667655863626462424305059
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
1Bob Mason100.00717375747368697473737068630506802900$
2Troy Gamble100.00756674757571717274767341390506602300$
Rayé
1Steve McKichan100.0071586867696968736768693739050620231106,000$
MOYENNE D’ÉQUIPE100.007266727272696973717271494705065
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 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
Bob MasonMilwaukee Admirals (VAN) (VAN)G291961-07-26 15:57:47No181 Lbs6 ft1NoNoNo0Pro & Farm0$0$No
Brian BradleyMilwaukee Admirals (VAN) (VAN)C251965-07-26 15:57:47No171 Lbs5 ft10NoNoNo2Pro & Farm199,500$199,500$199,500$199,500$0$0$No199,500$
Cam BrownMilwaukee Admirals (VAN) (VAN)LW211969-07-26 15:57:47No214 Lbs6 ft1NoNoNo2Pro & Farm105,000$105,000$105,000$105,000$0$0$No105,000$
Dave CapuanoMilwaukee Admirals (VAN) (VAN)RW221968-07-27 09:57:47No198 Lbs6 ft2NoNoNo0Pro & Farm0$0$No
David MackeyMilwaukee Admirals (VAN) (VAN)LW241966-07-26 21:57:47No208 Lbs6 ft3NoNoNo1Pro & Farm120,000$120,000$120,000$120,000$0$0$No
Dixon WardMilwaukee Admirals (VAN) (VAN)RW211968-09-23 14:00:07No204 Lbs6 ft0NoNoNo2Pro & Farm65,000$65,000$65,000$65,000$0$0$No65,000$Lien
Don GibsonMilwaukee Admirals (VAN) (VAN)D231967-07-27 03:57:47No213 Lbs6 ft1NoNoNo2Pro & Farm110,000$110,000$110,000$110,000$0$0$No110,000$
Gino OdjickMilwaukee Admirals (VAN) (VAN)LW201970-07-26 21:57:47No219 Lbs6 ft4NoNoNo2Pro & Farm95,000$95,000$95,000$95,000$0$0$No95,000$
Jack CapuanoMilwaukee Admirals (VAN) (VAN)D241966-07-26 21:57:47No176 Lbs6 ft1NoNoNo1Pro & Farm100,000$100,000$100,000$100,000$0$0$No
Jay MazurMilwaukee Admirals (VAN) (VAN)RW251965-07-26 15:57:47No211 Lbs6 ft1NoNoNo0Pro & Farm0$0$No
Jim AgnewMilwaukee Admirals (VAN) (VAN)D241966-07-26 21:57:47No198 Lbs6 ft0NoNoNo2Pro & Farm112,000$112,000$112,000$112,000$0$0$No112,000$
Jim SandlakMilwaukee Admirals (VAN) (VAN)RW241966-07-26 21:57:47No220 Lbs6 ft4NoNoNo2Pro & Farm190,000$190,000$190,000$190,000$0$0$No190,000$
Kevan GuyMilwaukee Admirals (VAN) (VAN)D251965-07-26 15:57:47No197 Lbs6 ft2NoNoNo1Pro & Farm117,140$117,140$117,140$117,140$0$0$No
Petr NedvedMilwaukee Admirals (VAN) (VAN)LW191971-07-27 03:57:47No183 Lbs6 ft3NoNoNo2Pro & Farm175,000$175,000$175,000$175,000$0$0$No175,000$
Rob MurphyMilwaukee Admirals (VAN) (VAN)C211969-07-26 15:57:47No208 Lbs6 ft3NoNoNo3Pro & Farm175,433$175,433$175,433$175,433$0$0$No175,433$175,433$
Shawn AntoskiMilwaukee Admirals (VAN) (VAN)LW201970-07-26 21:57:47No239 Lbs6 ft6NoNoNo2Pro & Farm113,057$113,057$113,057$113,057$0$0$No113,057$
Steve McKichanMilwaukee Admirals (VAN) (VAN)G231967-07-27 03:57:47No183 Lbs5 ft11NoNoNo1Pro & Farm106,000$106,000$106,000$106,000$0$0$No
Troy GambleMilwaukee Admirals (VAN) (VAN)G231967-07-27 03:57:47No197 Lbs5 ft11NoNoNo0Pro & Farm0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1822.94201 Lbs6 ft21.3999,063$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Petr Nedved40122
2Gino OdjickRob MurphyDixon Ward30122
3Dave CapuanoJim Sandlak20122
4David MackeyDave Capuano10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack CapuanoDon Gibson40122
2Jim Agnew30122
3David Mackey20122
4Jack CapuanoDon Gibson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Petr Nedved60122
2Gino OdjickRob MurphyDixon Ward40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack CapuanoDon Gibson60122
2Jim Agnew40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Petr NedvedGino Odjick40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack CapuanoDon Gibson60122
2Jim Agnew40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Jack CapuanoDon Gibson60122
240122Jim Agnew40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Petr NedvedGino Odjick40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack CapuanoDon Gibson60122
2Jim Agnew40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Petr NedvedJack CapuanoDon Gibson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Petr NedvedJack CapuanoDon Gibson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jim Sandlak, , Dixon WardJim Sandlak, Dixon Ward
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Jim Agnew, Jack CapuanoJim Agnew, Jack Capuano
Tirs de pénalité
, , Petr Nedved, Gino Odjick, Dixon Ward
Gardien
#1 : Bob Mason, #2 : Troy Gamble
Lignes d’attaque personnalisées en prolongation
, , Petr Nedved, Gino Odjick, Dixon Ward, Jim Sandlak, Jim Sandlak, Dave Capuano, Rob Murphy, , David Mackey
Lignes de défense personnalisées en prolongation
Jack Capuano, Don Gibson, , Jim Agnew,


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 TGFGA
00000000
Matchs locaux
GPWLOTWOTL TGFGA
00000000
Matchs extérieurs
GPWLOTWOTL TGFGA
00000000
Derniers 10 matchs
WLOTWOTL T
00000
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$ 891,564$ 891,564$ 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 (VAN) 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
1Jim Sandlak674711582280554226517.74%1992613.83202400008448.4411.2500
2Rob Murphy60142741-711926421559.03%1699616.6038111500000257.0300.8200
3Dixon Ward68202141-1032433818310.93%30115617.013471500016258.4900.7100
4Dave Capuano46172037138194711514.78%1972715.81011000005055.4201.0200
5Petr Nedved4017193624232910516.19%878619.6546101800001158.7000.9200

Milwaukee Admirals (VAN) 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
1Bob Mason773132140.9072.1746714616918201119100.00%0
2Troy Gamble10000.8335.001200163000.00%0

Milwaukee Admirals (VAN) 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
1802934143000188181740171562000998415401219810008997-8781883044920646598031647429542652241881713250210431692715.98%2262788.05%3488102747.52%547114347.86%514102050.39%1837129419615551075526
Total Saison régulière802934143000188181740171562000998415401219810008997-8781883044920646598031647429542652241881713250210431692715.98%2262788.05%3488102747.52%547114347.86%514102050.39%1837129419615551075526
Séries éliminatoires
1734000001619-33210000087141300000812-4616304610655017760526501755819610920630.00%130100.00%04811641.38%5411646.55%409044.44%1761251425210046
Total Séries éliminatoires734000001619-33210000087141300000812-4616304610655017760526501755819610920630.00%130100.00%04811641.38%5411646.55%409044.44%1761251425210046

Milwaukee Admirals (VAN) 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
1Petr Nedved7448-40552814.29%313719.59235300000150.0001.1700
2Jack Capuano7527-60772520.00%1016323.3031470003100.00%10.8600
3Rob Murphy7145-20531010.00%110815.45011300001050.0000.9200
4Dave Capuano7224-10581811.11%210114.49000000001043.4800.7900
5Don Gibson7044-51919890.00%915221.8202210000000.00%00.5200

Milwaukee Admirals (VAN) 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
1Bob Mason73400.8972.58419001817496010.00%0