Connexion

Milwaukee Admirals
GP: 57 | W: 31 | L: 24 | OTL: 2 | P: 64
GF: 228 | GA: 229 | PP%: 22.05% | PK%: 77.59%
DG: Matt Sullivan | Morale : 60 | Moyenne d’équipe : 57
Prochains matchs #944 vs San Jose Barracuda
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Centre de jeu
Milwaukee Admirals
31-24-2, 64pts
3
FINAL
4 Toronto Marlies
28-25-4, 60pts
Team Stats
L2SéquenceW3
16-13-1Fiche domicile15-11-3
15-11-1Fiche domicile13-14-1
3-7-0Derniers 10 matchs5-4-1
4.00Buts par match 3.96
4.02Buts contre par match 4.16
22.05%Pourcentage en avantage numérique16.22%
77.59%Pourcentage en désavantage numérique79.39%
Henderson Silver Knights
22-28-7, 51pts
6
FINAL
3 Milwaukee Admirals
31-24-2, 64pts
Team Stats
W2SéquenceL2
12-14-3Fiche domicile16-13-1
10-14-4Fiche domicile15-11-1
3-5-2Derniers 10 matchs3-7-0
4.05Buts par match 4.00
4.47Buts contre par match 4.02
25.21%Pourcentage en avantage numérique22.05%
71.85%Pourcentage en désavantage numérique77.59%
Milwaukee Admirals
31-24-2, 64pts
2024-03-02
San Jose Barracuda
12-42-3, 27pts
Statistiques d’équipe
L2SéquenceL1
16-13-1Fiche domicile4-22-3
15-11-1Fiche visiteur8-20-0
3-7-010 derniers matchs4-6-0
4.00Buts par match 2.33
4.02Buts contre par match 2.33
22.05%Pourcentage en avantage numérique18.80%
77.59%Pourcentage en désavantage numérique76.03%
Grand Rapids Griffins
32-26-1, 65pts
2024-03-06
Milwaukee Admirals
31-24-2, 64pts
Statistiques d’équipe
L1SéquenceL2
16-12-1Fiche domicile16-13-1
16-14-0Fiche visiteur15-11-1
6-4-010 derniers matchs3-7-0
3.66Buts par match 4.00
3.32Buts contre par match 4.00
19.74%Pourcentage en avantage numérique22.05%
75.21%Pourcentage en désavantage numérique77.59%
Milwaukee Admirals
31-24-2, 64pts
2024-03-08
Colorado Eagles
27-27-6, 60pts
Statistiques d’équipe
L2SéquenceL1
16-13-1Fiche domicile16-10-3
15-11-1Fiche visiteur11-17-3
3-7-010 derniers matchs5-3-2
4.00Buts par match 3.72
4.02Buts contre par match 3.72
22.05%Pourcentage en avantage numérique25.19%
77.59%Pourcentage en désavantage numérique68.33%
Meneurs d'équipe
Buts
Matthew Phillips
39
Passes
Matthew Phillips
49
Points
Matthew Phillips
88
Plus/Moins
Matthew Phillips
19
Victoires
Evan Fitzpatrick
0
Pourcentage d’arrêts
Evan Fitzpatrick
0.895

Statistiques d’équipe
Buts pour
228
4.00 GFG
Tirs pour
2249
39.46 Avg
Pourcentage en avantage numérique
22.0%
28 GF
Début de zone offensive
41.4%
Buts contre
229
4.02 GAA
Tirs contre
2164
37.96 Avg
Pourcentage en désavantage numérique
77.6%%
26 GA
Début de la zone défensive
38.7%
Informations de l'équipe

Directeur généralMatt Sullivan
EntraîneurGreg Johnson
DivisionCentral
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,000
Assistance7,649
Billets de saison0


Informations de la formation

Équipe Pro14
Équipe Mineure21
Limite contact 35 / 45
Espoirs2


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 Grimaldi25XX99.00556166645666656555616561576961060630311750,000$
2Matthew Phillips24X99.00545967645467646555616664596056060630251750,000$
3Kevin Rooney15XX100.006353776170647157696158665465590606203021,300,000$
4Joshua Ho-Sang23X100.00533989646972716359605658636764060620283750,000$
5Chris Wagner64XX100.005656646364666559705660605472630606103211,350,000$
6Jasper Weatherby70XX100.00595170627666665862605862546057060610261750,000$
7Cedric Paquette14X100.00713879547753675146635267516556060590301750,000$
8Jack Finley63X100.00555561576763625665555859545453060580211750,000$
9Ryan Greene (R)75X100.00454545454545454545454545454545060450204750,000$
10Alexander Suzdalev (R)76X100.00454545454545454545454545454545060450194750,000$
11Dean Kukan42X100.00623881596670685838665773515655060640301750,000$
12Benjamin Roger (R)80X100.00454545454545454545454545454545060450214750,000$
Rayé
MOYENNE D’ÉQUIPE99.8355496657616061565557555953595506057
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
1Evan Fitzpatrick3397.0054545469645466545855656055060580261750,000$
2Michael McNiven1100.0053545458595460545856635953060560261750,000$
Rayé
MOYENNE D’ÉQUIPE98.505454546462546354585664605406057
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Greg Johnson75757575757575CAN5250$


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
1Matthew PhillipsMilwaukee Admirals (NSH)C57394988192209821333811128511.54%37135323.74511163311101131026351.63%129000031.30140001265
2Rocco GrimaldiMilwaukee Admirals (NSH)C/RW5738337118135951233077824012.38%17106118.627916451160000234153.51%11400111.34030106111
3Dean KukanMilwaukee Admirals (NSH)D57104454-2032012198116521038.62%116136223.91661245114011090100%000000.7900000232
4Jasper WeatherbyMilwaukee Admirals (NSH)C/LW5725255051401061112035314312.32%15108519.053253296000002060.95%10500010.9200000352
5Kevin RooneyMilwaukee Admirals (NSH)C/LW571435492160117179197491737.11%25108919.121343095000050060.25%150200000.9022000226
6Joshua Ho-SangMilwaukee Admirals (NSH)RW5719304932026114229451748.30%11111419.5513431970000242148.10%7900000.8823000413
7Cedric PaquetteMilwaukee Admirals (NSH)C57212243-261601011372106312610.00%17104818.3900000000002348.96%43100100.8200000244
8Chris WagnerMilwaukee Admirals (NSH)C/RW57113041-3321543155207481555.31%1786915.25022615000000160.54%108200000.9400100212
9Jack FinleyMilwaukee Admirals (NSH)C57425294335108567826575.13%7998117.2213424790000020100.00%200000.5900100023
10Ryan GreeneMilwaukee Admirals (NSH)C57012123200881216790%3794216.530000200000420044.44%900000.2500000001
11Alexander SuzdalevMilwaukee Admirals (NSH)LW573912-2718026162591912.00%380914.20011090000241133.78%7400000.3000000010
12Benjamin RogerMilwaukee Admirals (NSH)D57448720090102071220.00%59108118.98011588000172200%000000.1500000003
Statistiques d’équipe totales ou en moyenne684188318506-452271510191224194654814969.66%4331280018.712441652518440224388221056.12%468800250.79512210333632
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
1Evan FitzpatrickMilwaukee Admirals (NSH)10100.8956.0060006570000010000
Statistiques d’équipe totales ou en moyenne10100.8956.006000657000010000


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Plafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Alexander SuzdalevMilwaukee Admirals (NSH)LW1903/05/04 4:59:38 AMYes176 Lbs6 ft2NoNoN/ANoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$------NoNoNo------
Benjamin RogerMilwaukee Admirals (NSH)D2111/03/02 2:43:22 AMYes201 Lbs6 ft3NoNoN/ANoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$------NoNoNo------
Cedric PaquetteMilwaukee Admirals (NSH)C3008/13/93No205 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Chris WagnerMilwaukee Admirals (NSH)C/RW3205/27/91No192 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,350,000$0$0$No------------------Lien
Dean KukanMilwaukee Admirals (NSH)D3007/08/93No190 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Evan FitzpatrickMilwaukee Admirals (NSH)G2601/28/98No205 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Jack FinleyMilwaukee Admirals (NSH)C2109/02/02No223 Lbs6 ft6NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Jasper WeatherbyMilwaukee Admirals (NSH)C/LW2601/22/98No223 Lbs6 ft4NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Joshua Ho-SangMilwaukee Admirals (NSH)RW2801/22/96No173 Lbs6 ft0NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------Lien
Kevin RooneyMilwaukee Admirals (NSH)C/LW3005/21/93No190 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,300,000$0$0$No1,300,000$--------No--------Lien
Matthew PhillipsMilwaukee Admirals (NSH)C2504/06/98No140 Lbs5 ft7NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Michael McNivenMilwaukee Admirals (NSH)G2607/09/97No198 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Rocco GrimaldiMilwaukee Admirals (NSH)C/RW3102/08/93No179 Lbs5 ft6NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Ryan GreeneMilwaukee Admirals (NSH)C2010/21/03 8:13:16 AMYes174 Lbs6 ft1NoNoN/ANoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$------NoNoNo------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1426.07191 Lbs6 ft11.86832,143$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kevin RooneyMatthew PhillipsRocco Grimaldi30122
2Alexander SuzdalevJasper WeatherbyJoshua Ho-Sang30122
3Cedric PaquetteChris WagnerJack Finley25122
4Matthew PhillipsCedric PaquetteRocco Grimaldi15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dean KukanBenjamin Roger30122
2Ryan Greene30122
325122
4Dean KukanBenjamin Roger15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kevin RooneyMatthew PhillipsRocco Grimaldi60122
2Alexander SuzdalevJasper WeatherbyJoshua Ho-Sang40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dean KukanBenjamin Roger60122
2Ryan Greene40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Matthew PhillipsRocco Grimaldi60122
2Joshua Ho-SangKevin Rooney40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dean KukanBenjamin Roger60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Matthew Phillips60122Dean KukanBenjamin Roger60122
2Rocco Grimaldi4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matthew PhillipsRocco Grimaldi60122
2Joshua Ho-SangKevin Rooney40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dean KukanBenjamin Roger60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kevin RooneyMatthew PhillipsRocco GrimaldiDean KukanBenjamin Roger
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kevin RooneyMatthew PhillipsRocco GrimaldiDean KukanBenjamin Roger
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Chris Wagner, Jack Finley, Jasper WeatherbyChris Wagner, Jack FinleyJasper Weatherby
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dean Kukan, Benjamin Roger, Dean KukanBenjamin Roger,
Tirs de pénalité
Matthew Phillips, Rocco Grimaldi, Joshua Ho-Sang, Kevin Rooney, Jasper Weatherby
Gardien
#1 : Evan Fitzpatrick, #2 : Michael McNiven
Lignes d’attaque personnalisées en prolongation
Matthew Phillips, Rocco Grimaldi, Joshua Ho-Sang, Kevin Rooney, Jasper Weatherby, Chris Wagner, Chris Wagner, Cedric Paquette, Jack Finley, Alexander Suzdalev, Ryan Greene
Lignes de défense personnalisées en prolongation
Dean Kukan, Benjamin Roger, , ,


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
1Abbotsford Canucks11000000532000000000001100000053221.00051015008570641042701739777483313023200.00%000%01172212155.26%1123198056.72%574102056.27%14009981329392719361
2Bakersfield Condors10000010541100000105410000000000021.00057120085706410327017397774835136103266.67%3233.33%01172212155.26%1123198056.72%574102056.27%14009981329392719361
3Belleville Senators1000010034-11000010034-10000000000010.5003580085706410337017397774847117263133.33%10100.00%01172212155.26%1123198056.72%574102056.27%14009981329392719361
4Bridgeport Islanders10001000651100010006510000000000021.00061117008570641044701739777482896243266.67%330.00%01172212155.26%1123198056.72%574102056.27%14009981329392719361
5Calgary Wranglers20200000411-71010000045-11010000006-600.00047110085706410607017397774888301643400.00%50100.00%01172212155.26%1123198056.72%574102056.27%14009981329392719361
6Charlotte Checkers22000000752220000007520000000000041.0007142100857064107870173977748692012516233.33%6183.33%01172212155.26%1123198056.72%574102056.27%14009981329392719361
7Chicago Wolves430000101587210000109542200000063381.00015274200857064101337017397774810742107813323.08%30100.00%11172212155.26%1123198056.72%574102056.27%14009981329392719361
8Cleveland Monsters3110001013112110000005322010001088040.6671321340085706410109701739777481173116673133.33%80100.00%01172212155.26%1123198056.72%574102056.27%14009981329392719361
9Coachella Valley Firebirds11000000734110000007340000000000021.000714210085706410527017397774830146192150.00%20100.00%01172212155.26%1123198056.72%574102056.27%14009981329392719361
10Colorado Eagles11000000761110000007610000000000021.0007132000857064103870173977748371042733100.00%2150.00%01172212155.26%1123198056.72%574102056.27%14009981329392719361
11Grand Rapids Griffins20200000613-71010000024-21010000049-500.0006101600857064107370173977748902712484250.00%6183.33%01172212155.26%1123198056.72%574102056.27%14009981329392719361
12Hartford Wolf Pack11000000422000000000001100000042221.0004610008570641042701739777483511420100.00%20100.00%01172212155.26%1123198056.72%574102056.27%14009981329392719361
13Henderson Silver Knights321000001312121100000910-11100000042240.6671321340085706410140701739777481434112735120.00%6350.00%01172212155.26%1123198056.72%574102056.27%14009981329392719361
14Hershey Bears1010000034-1000000000001010000034-100.00035800857064104070173977748366819000%3166.67%01172212155.26%1123198056.72%574102056.27%14009981329392719361
15Iowa Wild513000101720-32010001067-1312000001113-240.400172643008570641016470173977748198511912110110.00%6183.33%01172212155.26%1123198056.72%574102056.27%14009981329392719361
16Laval Rocket11000000945110000009450000000000021.0009152400857064106370173977748498228300.00%10100.00%01172212155.26%1123198056.72%574102056.27%14009981329392719361
17Lehigh Valley Phantoms10001000431000000000001000100043121.000471100857064103670173977748374218200.00%10100.00%01172212155.26%1123198056.72%574102056.27%14009981329392719361
18Manitoba Moose412010001113-2211000005502010100068-240.5001117280085706410128701739777481032522749222.22%10370.00%01172212155.26%1123198056.72%574102056.27%14009981329392719361
19Ontario Reign20100100811-31010000035-21000010056-110.2508162400857064108270173977748812510495240.00%5340.00%01172212155.26%1123198056.72%574102056.27%14009981329392719361
20Providence Bruins1010000046-21010000046-20000000000000.000471110857064104270173977748318423000%20100.00%01172212155.26%1123198056.72%574102056.27%14009981329392719361
21Rochester Americans11000000422000000000001100000042221.00045900857064103170173977748287217300.00%10100.00%01172212155.26%1123198056.72%574102056.27%14009981329392719361
22Rockford IceHogs303000001118-720200000612-61010000056-100.0001119300085706410142701739777481332212757342.86%6183.33%01172212155.26%1123198056.72%574102056.27%14009981329392719361
23San Diego Gulls3210000010911010000025-32200000084440.66710152500857064101247017397774899282055700.00%7185.71%01172212155.26%1123198056.72%574102056.27%14009981329392719361
24San Jose Barracuda22000000817110000003121100000050541.000812200185706410101701739777484615629800.00%30100.00%01172212155.26%1123198056.72%574102056.27%14009981329392719361
25Springfield Thunderbirds10001000871100010008710000000000021.0008132100857064105370173977748357430100.00%2150.00%01172212155.26%1123198056.72%574102056.27%14009981329392719361
26Syracuse Crunch11000000422000000000001100000042221.000461000857064104770173977748337415300.00%20100.00%01172212155.26%1123198056.72%574102056.27%14009981329392719361
27Texas Stars2110000089-1000000000002110000089-120.5008162400857064108270173977748992810322150.00%6183.33%01172212155.26%1123198056.72%574102056.27%14009981329392719361
28Toronto Marlies1010000034-1000000000001010000034-100.0003580085706410437017397774857124252150.00%20100.00%01172212155.26%1123198056.72%574102056.27%14009981329392719361
29Tucson Roadrunners303000001220-8202000001016-61010000024-200.000122234208570641011070173977748135441757900.00%7271.43%01172212155.26%1123198056.72%574102056.27%14009981329392719361
30Utica Comets10001000541100010005410000000000021.00051015008570641037701739777485020827200.00%40100.00%11172212155.26%1123198056.72%574102056.27%14009981329392719361
31Wilkes Barre Scranton Penguins1010000045-11010000045-10000000000000.0004610008570641048701739777485510419200.00%110.00%01172212155.26%1123198056.72%574102056.27%14009981329392719361
Total57222405240228229-130101303130129131-22712110211099981640.5612283886163185706410224970173977748216459926912221272822.05%1162677.59%21172212155.26%1123198056.72%574102056.27%14009981329392719361
_Since Last GM Reset57222405240228229-130101303130129131-22712110211099981640.5612283886163185706410224970173977748216459926912221272822.05%1162677.59%21172212155.26%1123198056.72%574102056.27%14009981329392719361
_Vs Conference38141901130142158-1620611000307888-101888011006470-6370.48714224238421857064101461701739777481424415182790912123.08%771975.32%11172212155.26%1123198056.72%574102056.27%14009981329392719361
_Vs Division3461101020134147-131825000207586-111646010005961-2180.26513422836221857064101350701739777481295366164717771620.78%701972.86%01172212155.26%1123198056.72%574102056.27%14009981329392719361

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5764L222838861622492164599269122231
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5722245240228229
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3010133130129131
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
27121121109998
Derniers 10 matchs
WLOTWOTL SOWSOL
370000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1272822.05%1162677.59%2
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
7017397774885706410
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
1172212155.26%1123198056.72%574102056.27%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
14009981329392719361


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
1 - 2023-10-095Iowa Wild5Milwaukee Admirals3BLSommaire du match
5 - 2023-10-1324Milwaukee Admirals5San Jose Barracuda0AWSommaire du match
8 - 2023-10-1643Iowa Wild2Milwaukee Admirals3BWXXSommaire du match
9 - 2023-10-1757Milwaukee Admirals7Iowa Wild4AWSommaire du match
12 - 2023-10-2073Tucson Roadrunners7Milwaukee Admirals3BLSommaire du match
14 - 2023-10-2285Milwaukee Admirals4Grand Rapids Griffins9ALSommaire du match
18 - 2023-10-26111Charlotte Checkers2Milwaukee Admirals3BWSommaire du match
21 - 2023-10-29126Milwaukee Admirals3Chicago Wolves2AWSommaire du match
23 - 2023-10-31136Milwaukee Admirals3Texas Stars5ALSommaire du match
25 - 2023-11-02148Manitoba Moose4Milwaukee Admirals3BLSommaire du match
27 - 2023-11-04161Milwaukee Admirals5Rockford IceHogs6ALSommaire du match
29 - 2023-11-06178Milwaukee Admirals3San Diego Gulls1AWSommaire du match
31 - 2023-11-08186Chicago Wolves2Milwaukee Admirals5BWSommaire du match
33 - 2023-11-10199Milwaukee Admirals5Cleveland Monsters6ALSommaire du match
35 - 2023-11-12216Rockford IceHogs7Milwaukee Admirals4BLSommaire du match
38 - 2023-11-15231Milwaukee Admirals4Henderson Silver Knights2AWSommaire du match
40 - 2023-11-17249Charlotte Checkers3Milwaukee Admirals4BWSommaire du match
44 - 2023-11-21271Chicago Wolves3Milwaukee Admirals4BWXXSommaire du match
47 - 2023-11-24297Milwaukee Admirals3Cleveland Monsters2AWXXSommaire du match
49 - 2023-11-26311San Diego Gulls5Milwaukee Admirals2BLSommaire du match
51 - 2023-11-28325Milwaukee Admirals3Iowa Wild5ALSommaire du match
53 - 2023-11-30340Bakersfield Condors4Milwaukee Admirals5BWXXSommaire du match
58 - 2023-12-05366Belleville Senators4Milwaukee Admirals3BLXSommaire du match
60 - 2023-12-07383Milwaukee Admirals2Manitoba Moose5ALSommaire du match
62 - 2023-12-09397Tucson Roadrunners9Milwaukee Admirals7BLSommaire du match
65 - 2023-12-12419Milwaukee Admirals5Texas Stars4AWSommaire du match
67 - 2023-12-14431Cleveland Monsters3Milwaukee Admirals5BWSommaire du match
70 - 2023-12-17456Milwaukee Admirals0Calgary Wranglers6ALSommaire du match
71 - 2023-12-18464San Jose Barracuda1Milwaukee Admirals3BWSommaire du match
74 - 2023-12-21483Milwaukee Admirals5Ontario Reign6ALXSommaire du match
76 - 2023-12-23495Ontario Reign5Milwaukee Admirals3BLSommaire du match
78 - 2023-12-25511Milwaukee Admirals4Manitoba Moose3AWXSommaire du match
80 - 2023-12-27528Colorado Eagles6Milwaukee Admirals7BWSommaire du match
83 - 2023-12-30544Milwaukee Admirals3Hershey Bears4ALSommaire du match
86 - 2024-01-02560Calgary Wranglers5Milwaukee Admirals4BLSommaire du match
89 - 2024-01-05582Bridgeport Islanders5Milwaukee Admirals6BWXSommaire du match
91 - 2024-01-07599Milwaukee Admirals4Syracuse Crunch2AWSommaire du match
92 - 2024-01-08606Milwaukee Admirals5Abbotsford Canucks3AWSommaire du match
96 - 2024-01-12624Manitoba Moose1Milwaukee Admirals2BWSommaire du match
99 - 2024-01-15644Laval Rocket4Milwaukee Admirals9BWSommaire du match
105 - 2024-01-21676Springfield Thunderbirds7Milwaukee Admirals8BWXSommaire du match
109 - 2024-01-25694Milwaukee Admirals5San Diego Gulls3AWSommaire du match
110 - 2024-01-26709Utica Comets4Milwaukee Admirals5BWXSommaire du match
113 - 2024-01-29728Milwaukee Admirals4Lehigh Valley Phantoms3AWXSommaire du match
116 - 2024-02-01742Providence Bruins6Milwaukee Admirals4BLSommaire du match
119 - 2024-02-04762Milwaukee Admirals4Hartford Wolf Pack2AWSommaire du match
120 - 2024-02-05774Coachella Valley Firebirds3Milwaukee Admirals7BWSommaire du match
124 - 2024-02-09801Rockford IceHogs5Milwaukee Admirals2BLSommaire du match
127 - 2024-02-12814Milwaukee Admirals4Rochester Americans2AWSommaire du match
129 - 2024-02-14831Milwaukee Admirals1Iowa Wild4ALSommaire du match
130 - 2024-02-15838Wilkes Barre Scranton Penguins5Milwaukee Admirals4BLSommaire du match
132 - 2024-02-17851Milwaukee Admirals2Tucson Roadrunners4ALSommaire du match
135 - 2024-02-20870Grand Rapids Griffins4Milwaukee Admirals2BLSommaire du match
137 - 2024-02-22884Milwaukee Admirals3Chicago Wolves1AWSommaire du match
139 - 2024-02-24900Henderson Silver Knights4Milwaukee Admirals6BWSommaire du match
141 - 2024-02-26907Milwaukee Admirals3Toronto Marlies4ALSommaire du match
144 - 2024-02-29931Henderson Silver Knights6Milwaukee Admirals3BLSommaire du match
146 - 2024-03-02944Milwaukee Admirals-San Jose Barracuda-
150 - 2024-03-06964Grand Rapids Griffins-Milwaukee Admirals-
152 - 2024-03-08976Milwaukee Admirals-Colorado Eagles-
153 - 2024-03-09987Milwaukee Admirals-Coachella Valley Firebirds-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
156 - 2024-03-121001Iowa Wild-Milwaukee Admirals-
161 - 2024-03-171020Milwaukee Admirals-Grand Rapids Griffins-
163 - 2024-03-191030Texas Stars-Milwaukee Admirals-
166 - 2024-03-221043Milwaukee Admirals-San Jose Barracuda-
169 - 2024-03-251056Milwaukee Admirals-Rockford IceHogs-
171 - 2024-03-271068Milwaukee Admirals-Bakersfield Condors-
175 - 2024-03-311086Texas Stars-Milwaukee Admirals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité45003500
Prix des billets350
Assistance129,68399,782
Assistance PCT96.06%95.03%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
4 7649 - 95.61% 151,297$4,538,905$8000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,007,286$ 1,165,000$ 865,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,007,286$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
605,187$ 33 6,582$ 217,206$




Milwaukee Admirals Leaders statistiques des joueurs (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

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

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

Milwaukee Admirals Leaders statistiques des joueurs (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