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 : 65
Prochain matchs #11 vs SAN DIEGO Gulls
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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 Lemieux0X100.0088745366807487645662656763676476997002441,250,000$
2Brett Murray (R)0X100.008347895897858757545655625863626499690223750,000$
3Rocco Grimaldi0XX100.0058378268627281675370636167736866996802711,500,000$
4Emil Bemstrom (R)0X100.007139886872747566536567626861656399680213750,000$
5Markus Hannikainen0X100.006439866277807863546060596373675499670276750,000$
6Pontus Aberg0XX100.005943836673757265586364616673676499670263750,000$
7Tomas Hyka (R)0X100.005135736964585868566665576651504799610276750,000$
8Sergey Tolchinsky0X100.004842746054536060506257605750504499570256750,000$
9Maxime Lajoie (R)0X100.006142896677837963306461655265635899680223750,000$
10Tucker Poolman (R)0X100.005939876280836761306958635073684999670273750,000$
11Thomas Schemitsch0X100.007051865786888556305554584567645699660231750,000$
12John Ramage0X100.005089606672505066305247505750505199550291750,000$
Rayé
MOYENNE D'ÉQUIPE100.00644879647573736346626060596462589965
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
1Thatcher Demko100.00797876857877797877797869737699710
2Charlie Lindgren100.00756563737473757473757473775899670
3Samuel Montembeault (R)100.00676872816971706969666650594499610
Rayé
MOYENNE D'ÉQUIPE100.0074707080747475747373736470599966
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Davis Payne70707070757570CAN512300,000$


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 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
Brendan LemieuxMILWAUKEE Admirals (NSH)LW243/15/1996No97 Kg185 CMNoNoNo4Pro & Farm1,250,000$1,250,000$750,000$750,000$0$0$No1,250,000$1,250,000$1,250,000$Lien
Brett MurrayMILWAUKEE Admirals (NSH)LW227/20/1998Yes107 Kg196 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Charlie LindgrenMILWAUKEE Admirals (NSH)G2612/18/1993No82 Kg185 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Emil BemstromMILWAUKEE Admirals (NSH)C216/1/1999Yes86 Kg183 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
John RamageMILWAUKEE Admirals (NSH)D292/7/1991No86 Kg183 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Markus HannikainenMILWAUKEE Admirals (NSH)LW273/26/1993No91 Kg185 CMNoNoNo6Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Maxime LajoieMILWAUKEE Admirals (NSH)D2211/5/1997Yes89 Kg185 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Pontus AbergMILWAUKEE Admirals (NSH)LW/RW269/23/1993No88 Kg183 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Rocco GrimaldiMILWAUKEE Admirals (NSH)C/RW272/8/1993No82 Kg168 CMNoNoNo1Pro & Farm1,500,000$1,500,000$1,500,000$1,500,000$0$0$NoLien
Samuel Montembeault (Contrat à 1 Volet)MILWAUKEE Admirals (NSH)G2310/30/1996Yes87 Kg191 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$750,000$750,000$No750,000$Lien
Sergey TolchinskyMILWAUKEE Admirals (NSH)LW252/3/1995No77 Kg173 CMNoNoNo6Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Thatcher DemkoMILWAUKEE Admirals (NSH)G2412/8/1995No87 Kg193 CMNoNoNo3Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$No1,000,000$1,000,000$Lien
Thomas SchemitschMILWAUKEE Admirals (NSH)D2310/26/1996No91 Kg193 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Tomas HykaMILWAUKEE Admirals (NSH)RW273/23/1993Yes73 Kg180 CMNoNoNo6Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Tucker PoolmanMILWAUKEE Admirals (NSH)D276/8/1993Yes90 Kg188 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1524.8788 Kg185 CM3.27850,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brett MurrayEmil Bemstrom31122
2Pontus AbergRocco GrimaldiTomas Hyka26122
3Markus HannikainenBrett Murray23122
4Emil Bemstrom20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Maxime LajoieTucker Poolman31122
2Thomas SchemitschJohn Ramage26122
3Maxime LajoieTucker Poolman23122
4Thomas SchemitschJohn Ramage20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brett MurrayEmil Bemstrom55122
2Pontus AbergRocco GrimaldiTomas Hyka45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Maxime LajoieTucker Poolman55122
2Thomas SchemitschJohn Ramage45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brett Murray55122
2Emil BemstromRocco Grimaldi45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Maxime LajoieTucker Poolman55122
2Thomas SchemitschJohn Ramage45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Brett Murray55122Maxime LajoieTucker Poolman55122
245122Thomas SchemitschJohn Ramage45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Brett Murray55122
2Emil BemstromRocco Grimaldi45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Maxime LajoieTucker Poolman55122
2Thomas SchemitschJohn Ramage45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brett MurrayEmil BemstromMaxime LajoieTucker Poolman
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brett MurrayEmil BemstromMaxime LajoieTucker Poolman
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Sergey Tolchinsky, , Markus HannikainenSergey Tolchinsky, Markus Hannikainen
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Maxime Lajoie, Tucker Poolman, Thomas SchemitschMaxime LajoieTucker Poolman, Thomas Schemitsch
Tirs de Pénalité
Brett Murray, , Emil Bemstrom, Rocco Grimaldi,
Gardien
#1 : Thatcher Demko, #2 : Charlie Lindgren, #3 : Samuel Montembeault
Lignes d'Attaque Perso. en Prol.
Brett Murray, , Emil Bemstrom, Rocco Grimaldi, , Pontus Aberg, Pontus Aberg, Markus Hannikainen, , Tomas Hyka, Sergey Tolchinsky
Lignes de Défense Perso. en Prol.
Maxime Lajoie, Tucker Poolman, 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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
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 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
2 - 2021-01-1711SAN DIEGO Gulls-MILWAUKEE Admirals-
6 - 2021-01-2130LAVAL Rocket-MILWAUKEE Admirals-
8 - 2021-01-2342MILWAUKEE Admirals-LAVAL Rocket-
11 - 2021-01-2657TUSCON Roadrunners-MILWAUKEE Admirals-
16 - 2021-01-3180LAVAL Rocket-MILWAUKEE Admirals-
18 - 2021-02-0286MILWAUKEE Admirals-ST-ANTONIO Rampage-
20 - 2021-02-0497MILWAUKEE Admirals-BRIDGEPORT Sound Tigers-
24 - 2021-02-08111ROCKFORD IceHogs-MILWAUKEE Admirals-
27 - 2021-02-11131COLORADO Eagles-MILWAUKEE Admirals-
32 - 2021-02-16157ROCKFORD IceHogs-MILWAUKEE Admirals-
34 - 2021-02-18166MILWAUKEE Admirals-COLORADO Eagles-
36 - 2021-02-20181MILWAUKEE Admirals-UTICA Comets-
37 - 2021-02-21185LAVAL Rocket-MILWAUKEE Admirals-
42 - 2021-02-26210IOWA Wild-MILWAUKEE Admirals-
45 - 2021-03-01228MILWAUKEE Admirals-GRAND RAPIDS Griffins-
47 - 2021-03-03235ST-ANTONIO Rampage-MILWAUKEE Admirals-
49 - 2021-03-05249MILWAUKEE Admirals-COLORADO Eagles-
51 - 2021-03-07261SYRACUSE Crunch-MILWAUKEE Admirals-
54 - 2021-03-10278MILWAUKEE Admirals-CHICAGO Wolves-
56 - 2021-03-12285MILWAUKEE Admirals-IOWA Wild-
57 - 2021-03-13291ONTARIO Reign-MILWAUKEE Admirals-
61 - 2021-03-17312BROOKLYN Wolfpack-MILWAUKEE Admirals-
63 - 2021-03-19320MILWAUKEE Admirals-STOCKTON Flames-
65 - 2021-03-21338ST-ANTONIO Rampage-MILWAUKEE Admirals-
67 - 2021-03-23346MILWAUKEE Admirals-MANITOBA Moose-
70 - 2021-03-26366BRIDGEPORT Sound Tigers-MILWAUKEE Admirals-
75 - 2021-03-31390TORONTO Marlies-MILWAUKEE Admirals-
78 - 2021-04-03405MILWAUKEE Admirals-CAROLINA Checkers-
80 - 2021-04-05417TUSCON Roadrunners-MILWAUKEE Admirals-
83 - 2021-04-08434MILWAUKEE Admirals-SCRANTON Penguins-
85 - 2021-04-10439MILWAUKEE Admirals-BRIDGEPORT Sound Tigers-
86 - 2021-04-11446SAN DIEGO Gulls-MILWAUKEE Admirals-
90 - 2021-04-15468CAROLINA Checkers-MILWAUKEE Admirals-
92 - 2021-04-17481MILWAUKEE Admirals-HERSEY Bears-
94 - 2021-04-19493MILWAUKEE Admirals-BELLEVILLE Senators-
95 - 2021-04-20498MANITOBA Moose-MILWAUKEE Admirals-
98 - 2021-04-23514MILWAUKEE Admirals-HERSEY Bears-
99 - 2021-04-24524PROVIDENCE Bruins-MILWAUKEE Admirals-
102 - 2021-04-27542MILWAUKEE Admirals-SCRANTON Penguins-
104 - 2021-04-29549BRIDGEPORT Sound Tigers-MILWAUKEE Admirals-
106 - 2021-05-01566MILWAUKEE Admirals-PROVIDENCE Bruins-
107 - 2021-05-02575COLORADO Eagles-MILWAUKEE Admirals-
112 - 2021-05-07599COLORADO Eagles-MILWAUKEE Admirals-
117 - 2021-05-12625STOCKTON Flames-MILWAUKEE Admirals-
120 - 2021-05-15637MILWAUKEE Admirals-PROVIDENCE Bruins-
122 - 2021-05-17651ROCKFORD IceHogs-MILWAUKEE Admirals-
124 - 2021-05-19664MILWAUKEE Admirals-LEHIGH VALLEY Phantoms-
127 - 2021-05-22676STOCKTON Flames-MILWAUKEE Admirals-
131 - 2021-05-26700MILWAUKEE Admirals-LAVAL Rocket-
132 - 2021-05-27703TUSCON Roadrunners-MILWAUKEE Admirals-
136 - 2021-05-31723MILWAUKEE Admirals-BINGHAMTON Devils-
137 - 2021-06-01730BROOKLYN Wolfpack-MILWAUKEE Admirals-
142 - 2021-06-06755BELLEVILLE Senators-MILWAUKEE Admirals-
144 - 2021-06-08766MILWAUKEE Admirals-UTICA Comets-
147 - 2021-06-11780LAVAL Rocket-MILWAUKEE Admirals-
150 - 2021-06-14791MILWAUKEE Admirals-SAN DIEGO Gulls-
152 - 2021-06-16803MILWAUKEE Admirals-BAKERSFIELD Condors-
153 - 2021-06-17810LEHIGH VALLEY Phantoms-MILWAUKEE Admirals-
156 - 2021-06-20829MILWAUKEE Admirals-LAVAL Rocket-
157 - 2021-06-21833UTICA Comets-MILWAUKEE Admirals-
163 - 2021-06-27859SAN DIEGO Gulls-MILWAUKEE Admirals-
164 - 2021-06-28869MILWAUKEE Admirals-ST-ANTONIO Rampage-
167 - 2021-07-01879MILWAUKEE Admirals-TORONTO Marlies-
168 - 2021-07-02885SCRANTON Penguins-MILWAUKEE Admirals-
171 - 2021-07-05901MILWAUKEE Admirals-BROOKLYN Wolfpack-
173 - 2021-07-07910MILWAUKEE Admirals-SYRACUSE Crunch-
174 - 2021-07-08912HERSEY Bears-MILWAUKEE Admirals-
176 - 2021-07-10926MILWAUKEE Admirals-SAN DIEGO Gulls-
179 - 2021-07-13937BINGHAMTON Devils-MILWAUKEE Admirals-
183 - 2021-07-17963GRAND RAPIDS Griffins-MILWAUKEE Admirals-
186 - 2021-07-20975MILWAUKEE Admirals-ONTARIO Reign-
187 - 2021-07-21984MILWAUKEE Admirals-ST-ANTONIO Rampage-
188 - 2021-07-22989CHICAGO Wolves-MILWAUKEE Admirals-
189 - 2021-07-23995MILWAUKEE Admirals-TUSCON Roadrunners-
191 - 2021-07-251003MILWAUKEE Admirals-ROCKFORD IceHogs-
192 - 2021-07-261011MILWAUKEE Admirals-TORONTO Marlies-
193 - 2021-07-271015MILWAUKEE Admirals-BRIDGEPORT Sound Tigers-
195 - 2021-07-291018BAKERSFIELD Condors-MILWAUKEE Admirals-
196 - 2021-07-301024MILWAUKEE Admirals-ROCKFORD IceHogs-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
197 - 2021-07-311028MILWAUKEE Admirals-TUSCON Roadrunners-



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
40 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,200,000$ 1,150,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 200 6,000$ 1,200,000$




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
Saison Régulière
348028340453620219574016160231298944401218022241041013812023505523580486710219669167779766242873143413722453213.06%1933283.42%3908232439.07%984270236.42%459119038.57%188113311999563987488
348028340453620219574016160231298944401218022241041013812023505523580486710219669167779766242873143413722453213.06%1933283.42%3908232439.07%984270236.42%459119038.57%188113311999563987488
Total Saison Régulière16056680810612404390148032320462419618888024360444820820261624047001104610160961342043921382135415941324856146286827444906413.06%3866483.42%61816464839.07%1968540436.42%918238038.57%37632663399811271975977