MILWAUKEE Admirals

GP: 2 | W: 0 | L: 2 | OTL: 0 | P: 0
GF: 5 | GA: 12 | PP%: 8.33% | PK%: 62.50%
DG: Louis Bourgault | Morale : 97 | Moyenne d'Équipe : 63
Prochain matchs #26 vs BRIDGEPORT Sound Tigers
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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 SP
1Dmitrij Jaskin0XX100.008335766684756865506662626462547197680
2Pontus Aberg0XX100.006435777072797469506968606955527395680
3William Carrier0X100.009941716583746764506166606555526797670
4Brendan Lemieux (R)0X100.007959486780737666616368616753517897670
5Beau Bennett0X100.006043736174668365307058605858547097650
6Markus Hannikainen (R)0X100.007235736477745763506364626454514297640
7Carter Verhaeghe0X100.005289657078505070706767576750504397610
8Mark Letestu0X100.005035697069505170706464526472572397610
9Tomas Hyka (R)0X100.005135736964585868566665576651504797610
10Sergey Tolchinsky0X100.004842746054536060506257605750504497570
11Dylan DeMelo0X100.007435756776839066306661776958534792700
12Christian Folin0X100.008841766384775863306155726459533697660
13Thomas Schemitsch (R)0X100.005889666786505067305757515750504497590
14John Ramage0X100.005089606672505066305247505750505197550
Rayé
1Dalton Smith0X100.005689485782505057505252505250506697550
MOYENNE D'ÉQUIPE100.00665368657664636547636159635552539763
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
1Aaron Dell100.00817475758079818079807456693592690
2Thatcher Demko100.00747079857373747373736851637497650
Rayé
1Charlie Lindgren100.00716573747070717070706651614297620
2Samuel Montembeault (R)100.00676872816971706969666650594497610
MOYENNE D'ÉQUIPE100.0073697579737374737372695263499664
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Davis Payne70707070757574CAN502650,000$


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
1Markus HannikainenMILWAUKEE Admirals (NSH)LW2033200002300.00%02512.980000000002000.00%100002.3100000000
2Dmitrij JaskinMILWAUKEE Admirals (NSH)LW/RW2112-1005584712.50%25125.6701149000060037.04%2700000.7800000000
3Christian FolinMILWAUKEE Admirals (NSH)D2202-2605470628.57%44623.4110151000001000.00%000000.8500000000
4Beau BennettMILWAUKEE Admirals (NSH)RW2022-200362140.00%24422.1600007000130050.00%400000.9000000000
5Brendan LemieuxMILWAUKEE Admirals (NSH)LW22022006461333.33%13517.6800000000040035.71%1400001.1300000000
6John RamageMILWAUKEE Admirals (NSH)D2011-220301000.00%53618.300000100002000.00%000000.5500000000
7William CarrierMILWAUKEE Admirals (NSH)LW2011-400973180.00%14824.1800008000050040.00%1000000.4100000000
8Dylan DeMeloMILWAUKEE Admirals (NSH)D1011000021010.00%02727.750110300000000.00%000000.7200000000
9Tomas HykaMILWAUKEE Admirals (NSH)RW2011-320223240.00%13517.8700006000000066.67%300000.5600000000
10Sergey TolchinskyMILWAUKEE Admirals (NSH)LW2000000021000.00%02311.7100002000000020.00%500000.0000000000
11Carter VerhaegheMILWAUKEE Admirals (NSH)C2000-520043540.00%13316.8700038000000040.00%4000000.0000000000
12Mark LetestuMILWAUKEE Admirals (NSH)C2000-300065110.00%03316.5600026000000048.94%4700000.0000000000
13Pontus AbergMILWAUKEE Admirals (NSH)LW/RW1000-100013110.00%12626.5300003000020025.00%1600000.0000000000
14Thomas SchemitschMILWAUKEE Admirals (NSH)D2000-460711030.00%33919.590001600002000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne2651015-23180404446194210.87%2150819.5512315740001340040.12%16700000.5900000000
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
1Aaron DellMILWAUKEE Admirals (NSH)20200.8047.14840010510000.000020000
2Thatcher DemkoMILWAUKEE Admirals (NSH)10000.9093.4335002220000.000002000
Stats d'équipe Total ou en Moyenne30200.8366.001200012730000.000022000


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 RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Aaron DellMILWAUKEE Admirals (NSH)G301989-05-04No93 Kg183 CMNoNoNo1Pro & Farm750,000$736,486$750,000$736,486$0$0$NoLien
Beau BennettMILWAUKEE Admirals (NSH)RW271991-11-27No89 Kg188 CMNoNoNo2Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$Lien
Brendan LemieuxMILWAUKEE Admirals (NSH)LW231996-03-15Yes98 Kg185 CMNoNoNo2Pro & Farm750,000$736,486$325,000$319,144$0$0$No750,000$Lien
Carter VerhaegheMILWAUKEE Admirals (NSH)C241995-08-14No86 Kg188 CMNoNoNo2Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$Lien
Charlie LindgrenMILWAUKEE Admirals (NSH)G251993-12-18No83 Kg185 CMNoNoNo2Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$Lien
Christian FolinMILWAUKEE Admirals (NSH)D281991-02-09No93 Kg191 CMNoNoNo1Pro & Farm1,000,000$981,981$1,000,000$981,981$0$0$NoLien
Dalton SmithMILWAUKEE Admirals (NSH)LW271992-06-30No94 Kg188 CMNoNoNo2Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$Lien
Dmitrij JaskinMILWAUKEE Admirals (NSH)LW/RW261993-03-23No98 Kg188 CMNoNoNo1Pro & Farm750,000$736,486$750,000$736,486$0$0$NoLien
Dylan DeMeloMILWAUKEE Admirals (NSH)D261993-05-01No89 Kg185 CMNoNoNo2Pro & Farm900,000$883,783$900,000$883,783$0$0$No900,000$Lien
John RamageMILWAUKEE Admirals (NSH)D281991-02-07No86 Kg183 CMNoNoNo3Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$750,000$Lien
Mark LetestuMILWAUKEE Admirals (NSH)C341985-02-04No89 Kg178 CMNoNoNo1Pro & Farm1,500,000$1,472,972$1,500,000$1,472,972$0$0$NoLien
Markus HannikainenMILWAUKEE Admirals (NSH)LW261993-03-26Yes91 Kg185 CMNoNoNo2Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$Lien
Pontus AbergMILWAUKEE Admirals (NSH)LW/RW251993-09-23No89 Kg180 CMNoNoNo1Pro & Farm750,000$736,486$750,000$736,486$0$0$NoLien
Samuel Montembeault (Contrat à 1 Volet)MILWAUKEE Admirals (NSH)G221996-10-30Yes87 Kg191 CMNoNoNo4Pro & Farm750,000$736,607$750,000$736,607$750,000$736,607$No750,000$750,000$750,000$Lien
Sergey TolchinskyMILWAUKEE Admirals (NSH)LW241995-02-03No77 Kg173 CMNoNoNo2Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$Lien
Thatcher DemkoMILWAUKEE Admirals (NSH)G231995-12-08No87 Kg193 CMNoNoNo1Pro & Farm750,000$736,486$750,000$736,486$0$0$NoLien
Thomas SchemitschMILWAUKEE Admirals (NSH)D221996-10-26Yes91 Kg193 CMNoNoNo3Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$750,000$Lien
Tomas HykaMILWAUKEE Admirals (NSH)RW261993-03-23Yes73 Kg180 CMNoNoNo2Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$Lien
William CarrierMILWAUKEE Admirals (NSH)LW241994-12-20No96 Kg188 CMNoNoNo1Pro & Farm750,000$736,486$750,000$736,486$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1925.7989 Kg185 CM1.84810,526$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Pontus AbergCarter VerhaegheDmitrij Jaskin31122
2William CarrierMark LetestuBeau Bennett26122
3Brendan LemieuxPontus AbergTomas Hyka23122
4Markus HannikainenDmitrij JaskinWilliam Carrier20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dylan DeMeloChristian Folin31122
2Thomas SchemitschJohn Ramage26122
3Dylan DeMeloChristian Folin23122
4Thomas SchemitschJohn Ramage20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Pontus AbergCarter VerhaegheDmitrij Jaskin55122
2William CarrierMark LetestuBeau Bennett45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dylan DeMeloChristian Folin55122
2Thomas SchemitschJohn Ramage45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Pontus AbergDmitrij Jaskin55122
2William CarrierBrendan Lemieux45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dylan DeMeloChristian Folin55122
2Thomas SchemitschJohn Ramage45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Pontus Aberg55122Dylan DeMeloChristian Folin55122
2Dmitrij Jaskin45122Thomas SchemitschJohn Ramage45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Pontus AbergDmitrij Jaskin55122
2William CarrierBrendan Lemieux45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dylan DeMeloChristian Folin55122
2Thomas SchemitschJohn Ramage45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Pontus AbergCarter VerhaegheDmitrij JaskinDylan DeMeloChristian Folin
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Pontus AbergCarter VerhaegheDmitrij JaskinDylan DeMeloChristian Folin
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Sergey Tolchinsky, Markus Hannikainen, Tomas HykaSergey Tolchinsky, Markus HannikainenTomas Hyka
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dylan DeMelo, Christian Folin, Thomas SchemitschDylan DeMeloChristian Folin, Thomas Schemitsch
Tirs de Pénalité
Pontus Aberg, Dmitrij Jaskin, William Carrier, Brendan Lemieux, Beau Bennett
Gardien
#1 : Aaron Dell, #2 : Thatcher Demko
Lignes d'Attaque Perso. en Prol.
Pontus Aberg, Dmitrij Jaskin, William Carrier, Brendan Lemieux, Beau Bennett, Markus Hannikainen, Markus Hannikainen, Carter Verhaeghe, Tomas Hyka, Mark Letestu, Sergey Tolchinsky
Lignes de Défense Perso. en Prol.
Dylan DeMelo, Christian Folin, Thomas Schemitsch, John Ramage,


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
LigueDomicileVisiteur
# 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
1BRIDGEPORT Sound Tigers1010000035-2000000000001010000035-200.0003690002302381820032108224125.00%3166.67%0195335.85%327940.51%163644.44%402856132310
Total20200000512-70000000000020200000512-700.0005101500023046818200732218401218.33%8362.50%0195335.85%327940.51%163644.44%402856132310
3UTICA Comets1010000027-5000000000001010000027-500.0002460002302381820041121018800.00%5260.00%0195335.85%327940.51%163644.44%402856132310
_Since Last GM Reset20200000512-70000000000020200000512-700.0005101500023046818200732218401218.33%8362.50%0195335.85%327940.51%163644.44%402856132310
_Vs Conference20200000512-70000000000020200000512-700.0005101500023046818200732218401218.33%8362.50%0195335.85%327940.51%163644.44%402856132310

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
20L251015467322184000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2020000512
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2020000512
Derniers 10 Matchs
WLOTWOTL SOWSOL
020000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1218.33%8362.50%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
8182000230
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
195335.85%327940.51%163644.44%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
402856132310


Derniers Match 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
1 - 2020-01-151MILWAUKEE Admirals2UTICA Comets7LSommaire du Match
2 - 2020-01-1614MILWAUKEE Admirals3BRIDGEPORT Sound Tigers5LSommaire du Match
3 - 2020-01-1726BRIDGEPORT Sound Tigers-MILWAUKEE Admirals-
4 - 2020-01-1839MILWAUKEE Admirals-BRIDGEPORT Sound Tigers-
5 - 2020-01-1955HERSEY Bears-MILWAUKEE Admirals-
7 - 2020-01-2172Marlies de Toronto-MILWAUKEE Admirals-
9 - 2020-01-2390MILWAUKEE Admirals-Marlies de Toronto-
11 - 2020-01-2593BROOKLYN Wolfpack-MILWAUKEE Admirals-
13 - 2020-01-27109MILWAUKEE Admirals-ROCKFORD IceHogs-
15 - 2020-01-29126STOCKTON Flames-MILWAUKEE Admirals-
17 - 2020-01-31133MILWAUKEE Admirals-SAN DIEGO Gulls-
19 - 2020-02-02146MILWAUKEE Admirals-PROVIDENCE Bruins-
20 - 2020-02-03153BRIDGEPORT Sound Tigers-MILWAUKEE Admirals-
21 - 2020-02-04169MILWAUKEE Admirals-LAVAL Rockets-
23 - 2020-02-06181PROVIDENCE Bruins-MILWAUKEE Admirals-
24 - 2020-02-07200LAVAL Rockets-MILWAUKEE Admirals-
26 - 2020-02-09215MILWAUKEE Admirals-Syracruse Crunch-
27 - 2020-02-10220MILWAUKEE Admirals-VICTORIAVILLE Tigres-
28 - 2020-02-11233LEHIGH VALLEY Phantoms-MILWAUKEE Admirals-
29 - 2020-02-12248MILWAUKEE Admirals-UTICA Comets-
30 - 2020-02-13257MILWAUKEE Admirals-ROCKFORD IceHogs-
31 - 2020-02-14260VICTORIAVILLE Tigres-MILWAUKEE Admirals-
33 - 2020-02-16284IOWA Wild-MILWAUKEE Admirals-
34 - 2020-02-17299MILWAUKEE Admirals-CORNWALL Aces-
35 - 2020-02-18307PROVIDENCE Bruins-MILWAUKEE Admirals-
37 - 2020-02-20326LAVAL Rockets-MILWAUKEE Admirals-
38 - 2020-02-21343MILWAUKEE Admirals-WILKIES-BARRIE Penguins-
39 - 2020-02-22351SAN DIEGO Gulls-MILWAUKEE Admirals-
40 - 2020-02-23361MILWAUKEE Admirals-TUSCON Roadrunners-
42 - 2020-02-25380MILWAUKEE Admirals-PROVIDENCE Bruins-
43 - 2020-02-26388HOLLYWOOD Oscar-MILWAUKEE Admirals-
44 - 2020-02-27405MILWAUKEE Admirals-TUSCON Roadrunners-
45 - 2020-02-28411Binghampton Devils-MILWAUKEE Admirals-
46 - 2020-02-29430MILWAUKEE Admirals-LAVAL Rockets-
47 - 2020-03-01440STOCKTON Flames-MILWAUKEE Admirals-
49 - 2020-03-03448MILWAUKEE Admirals-BRIDGEPORT Sound Tigers-
50 - 2020-03-04467MONT-LAURIER Sommet-MILWAUKEE Admirals-
52 - 2020-03-06484CORNWALL Aces-MILWAUKEE Admirals-
53 - 2020-03-07494MILWAUKEE Admirals-BRIDGEPORT Sound Tigers-
54 - 2020-03-08502MILWAUKEE Admirals-BELLEVILLE Senators-
56 - 2020-03-10517WILKIES-BARRIE Penguins-MILWAUKEE Admirals-
58 - 2020-03-12533MILWAUKEE Admirals-BROOKLYN Wolfpack-
59 - 2020-03-13541Marlies de Toronto-MILWAUKEE Admirals-
60 - 2020-03-14554MILWAUKEE Admirals-IOWA Wild-
61 - 2020-03-15566MILWAUKEE Admirals-Manitoba Moose-
62 - 2020-03-16576UTICA Comets-MILWAUKEE Admirals-
63 - 2020-03-17597TUSCON Roadrunners-MILWAUKEE Admirals-
64 - 2020-03-18607MILWAUKEE Admirals-SAN DIEGO Gulls-
65 - 2020-03-19617BROOKLYN Wolfpack-MILWAUKEE Admirals-
67 - 2020-03-21629MILWAUKEE Admirals-MONT-LAURIER Sommet-
68 - 2020-03-22644MILWAUKEE Admirals-HOLLYWOOD Oscar-
69 - 2020-03-23653MILWAUKEE Admirals-PV Sharapovas-
70 - 2020-03-24665HERSEY Bears-MILWAUKEE Admirals-
71 - 2020-03-25679ROCKFORD IceHogs-MILWAUKEE Admirals-
72 - 2020-03-26694MILWAUKEE Admirals-Marlies de Toronto-
73 - 2020-03-27702UTICA Comets-MILWAUKEE Admirals-
74 - 2020-03-28716MILWAUKEE Admirals-UTICA Comets-
75 - 2020-03-29728ROCKFORD IceHogs-MILWAUKEE Admirals-
77 - 2020-03-31750MILWAUKEE Admirals-Binghampton Devils-
78 - 2020-04-01754Syracruse Crunch-MILWAUKEE Admirals-
79 - 2020-04-02772MILWAUKEE Admirals-LEHIGH VALLEY Phantoms-
80 - 2020-04-03780Syracruse Crunch-MILWAUKEE Admirals-
82 - 2020-04-05802BELLEVILLE Senators-MILWAUKEE Admirals-
84 - 2020-04-07818MILWAUKEE Admirals-CHICAGO Wolves-
85 - 2020-04-08829Manitoba Moose-MILWAUKEE Admirals-
86 - 2020-04-09843MILWAUKEE Admirals-HERSEY Bears-
87 - 2020-04-10854PV Sharapovas-MILWAUKEE Admirals-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-04-11862MILWAUKEE Admirals-COLORADO Eagles-
90 - 2020-04-13879TUSCON Roadrunners-MILWAUKEE Admirals-
91 - 2020-04-14890MILWAUKEE Admirals-CHICAGO Wolves-
92 - 2020-04-15906SAN DIEGO Gulls-MILWAUKEE Admirals-
93 - 2020-04-16920MILWAUKEE Admirals-COLORADO Eagles-
94 - 2020-04-17930MILWAUKEE Admirals-STOCKTON Flames-
95 - 2020-04-18937BRIDGEPORT Sound Tigers-MILWAUKEE Admirals-
96 - 2020-04-19947MILWAUKEE Admirals-BROOKLYN Wolfpack-
97 - 2020-04-20961CHICAGO Wolves-MILWAUKEE Admirals-
98 - 2020-04-21977MILWAUKEE Admirals-LAVAL Rockets-
99 - 2020-04-22987BRIDGEPORT Sound Tigers-MILWAUKEE Admirals-
102 - 2020-04-251012CHICAGO Wolves-MILWAUKEE Admirals-
104 - 2020-04-271024MILWAUKEE Admirals-HERSEY Bears-
106 - 2020-04-291040COLORADO Eagles-MILWAUKEE Admirals-
109 - 2020-05-021061COLORADO Eagles-MILWAUKEE Admirals-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
36,622$ 1,465,000$ 1,422,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 24,910$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 109 19,054$ 2,076,886$




LigueDomicileVisiteur
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
3320200000512-70000000000020200000512-705101500023046818200732218401218.33%8362.50%0195335.85%327940.51%163644.44%402856132310
Total Saison Régulière20200000512-70000000000020200000512-705101500023046818200732218401218.33%8362.50%0195335.85%327940.51%163644.44%402856132310
Séries
32514000001012-23030000048-4211000006422101727005320122443444015357589613323.08%27581.48%07716347.24%6917140.35%346651.52%10669129386431
Total Séries514000001012-23030000048-4211000006422101727005320122443444015357589613323.08%27581.48%07716347.24%6917140.35%346651.52%10669129386431