Connexion

Milwaukee Admirals
GP: 54 | W: 32 | L: 17 | OTL: 5 | P: 69
GF: 181 | GA: 149 | PP%: 21.31% | PK%: 83.67%
DG: Matt Sullivan | Morale : 60 | Moyenne d’équipe : 59
Prochains matchs #870 vs Abbotsford Canucks
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Centre de jeu
Milwaukee Admirals
32-17-5, 69pts
2
FINAL
3 Colorado Eagles
34-9-8, 76pts
Team Stats
OTL1StreakW2
18-6-3Home Record19-5-3
14-11-2Away Record15-4-5
4-5-1Last 10 Games5-2-3
3.35Buts par match 3.10
2.76Buts contre par match 2.24
21.31%Pourcentage en avantage numérique19.51%
83.67%Pourcentage en désavantage numérique84.00%
Iowa Wild
29-18-3, 61pts
4
FINAL
3 Milwaukee Admirals
32-17-5, 69pts
Team Stats
W1StreakOTL1
14-10-3Home Record18-6-3
15-8-0Away Record14-11-2
6-4-0Last 10 Games4-5-1
3.48Buts par match 3.35
2.86Buts contre par match 2.76
16.51%Pourcentage en avantage numérique21.31%
80.65%Pourcentage en désavantage numérique83.67%
Milwaukee Admirals
32-17-5, 69pts
2023-02-02
Abbotsford Canucks
19-32-1, 39pts
Statistiques d’équipe
OTL1SéquenceL2
18-6-3Fiche domicile11-16-0
14-11-2Fiche visiteur8-16-1
4-5-110 derniers matchs4-6-0
3.35Buts par match 2.23
2.76Buts contre par match 2.23
21.31%Pourcentage en avantage numérique19.09%
83.67%Pourcentage en désavantage numérique79.49%
Hershey Bears
21-27-6, 48pts
2023-02-03
Milwaukee Admirals
32-17-5, 69pts
Statistiques d’équipe
L1SéquenceOTL1
14-10-2Fiche domicile18-6-3
7-17-4Fiche visiteur14-11-2
3-6-110 derniers matchs4-5-1
2.59Buts par match 3.35
3.15Buts contre par match 3.35
21.50%Pourcentage en avantage numérique21.31%
86.09%Pourcentage en désavantage numérique83.67%
Milwaukee Admirals
32-17-5, 69pts
2023-02-06
Iowa Wild
29-18-3, 61pts
Statistiques d’équipe
OTL1SéquenceW1
18-6-3Fiche domicile14-10-3
14-11-2Fiche visiteur15-8-0
4-5-110 derniers matchs6-4-0
3.35Buts par match 3.48
2.76Buts contre par match 3.48
21.31%Pourcentage en avantage numérique16.51%
83.67%Pourcentage en désavantage numérique80.65%
Meneurs d'équipe
Buts
Matthew Phillips
24
Passes
Kevin Rooney
39
Points
Kevin Rooney
55
Plus/Moins
Joshua Ho-Sang
20
Victoires
Malcolm Subban
32
Pourcentage d’arrêts
Michael McNiven
0.929

Statistiques d’équipe
Buts pour
181
3.35 GFG
Tirs pour
1605
29.72 Avg
Pourcentage en avantage numérique
21.3%
26 GF
Début de zone offensive
42.2%
Buts contre
149
2.76 GAA
Tirs contre
1379
25.54 Avg
Pourcentage en désavantage numérique
83.7%%
16 GA
Début de la zone défensive
36.4%
Informations de l'équipe

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


Informations de l’aréna

Capacité8,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro20
Équipe Mineure18
Limite contact 38 / 40
Espoirs0


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
1Kevin Rooney15XX98.00714087637568866070666272546158060670
2Jasper Weatherby (R)70XX98.00674084638562676078686270545658060660
3Tyler Pitlick21X100.00734092657561745754665768546459060640
4Joshua Ho-Sang23X100.00533989646972716359605658636764060630
5Cedric Paquette14X100.00754083578156705448665571546859060630
6Matthew Phillips24X100.00555867645466646355606364585955060620
7Rocco Grimaldi25XX100.00555567615662616155586264566860060610
8Chris Wagner64XX100.00555565646565645870565861547162060610
9Jack Finley (R)63X100.00454545454545454545454545454545060450
10Ryan Greene (R)75X100.00454545454545454545454545454545060450
11Alexander Suzdalev (R)76X100.00454545454545454545454545454545060450
12Andrew Peeke (R)40X100.00806677607187825940685894545858060720
13Dean Kukan42X100.00654085626974726140696077545958060680
14Colton White71X100.00654086546867595640685582545558060650
15Juuso Valimaki (R)45X100.00555566586960595640575562565955060590
16Mason Lohrei (R)46X100.00454545454545454545454545454545060450
17Benjamin Roger (R)80X100.00454545454545454545454545454545060450
Rayé
MOYENNE D’ÉQUIPE99.7658476956626062555158556352575506059
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
1Michael McNiven (R)1100.0056575761625763576159666256060590
2Malcolm Subban3196.0055555564625464556357667161060590
Rayé
1Evan Fitzpatrick (R)33100.0054545468625464546056656055060580
MOYENNE D’ÉQUIPE98.675555556462556455615766645706059
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Greg Johnson75757575757575CAN5150$


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
1Kevin RooneyMilwaukee Admirals (NSH)C/LW5416395513160122159169601329.47%14123522.8811112141020004881359.40%119200000.8914000363
2Andrew PeekeMilwaukee Admirals (NSH)D5415355045010138118111357513.51%75128723.84961554113000277520.00%000000.7800100332
3Matthew PhillipsMilwaukee Admirals (NSH)C542423472160671582095415311.48%2790116.7010138000002251.06%94600011.0400000523
4Jasper WeatherbyMilwaukee Admirals (NSH)C/LW542224461114091691704113712.94%7121622.52246141010002838161.22%9800000.7634000562
5Rocco GrimaldiMilwaukee Admirals (NSH)C/RW54172845-21006793199551318.54%2194117.44011230000543058.51%9400000.9600000341
6Colton WhiteMilwaukee Admirals (NSH)D541032428160678574205213.51%74109820.342242691000077400.00%000010.7600000113
7Dean KukanMilwaukee Admirals (NSH)D54112637-1100377787306312.64%36129223.93581340110000186010.00%000000.5700000011
8Cedric PaquetteMilwaukee Admirals (NSH)C5482735520010712012930926.20%10105719.5906615940001361050.98%112600000.6612000232
9Tyler PitlickMilwaukee Admirals (NSH)LW541222344606797152471047.89%17108720.1312315950004661054.63%10800000.6314000103
10Joshua Ho-SangMilwaukee Admirals (NSH)RW541518332000154399236215.15%585215.7943715108000002152.46%6100100.7701000115
11Chris WagnerMilwaukee Admirals (NSH)C/RW541712295553963124307813.71%13101618.821121396000001153.85%5200010.5700100202
12Mason LohreiMilwaukee Admirals (NSH)D54481212140797145728.57%3886916.1000001000032010.00%000000.2800000011
13Benjamin RogerMilwaukee Admirals (NSH)D542911122008511115718.18%4386215.9600009000014000.00%000000.2600000001
14Juuso ValimakiMilwaukee Admirals (NSH)D543710518084283715258.11%58107119.85044990000066100.00%000000.1900000000
15Alexander SuzdalevMilwaukee Admirals (NSH)LW54246014069141471914.29%488216.34000000000130043.40%5300000.1400000000
16Jack FinleyMilwaukee Admirals (NSH)C54022-34010262120.00%03165.8600000000000043.82%35600000.1300000000
17Ryan GreeneMilwaukee Admirals (NSH)C54011500644210.00%11011.870000140000130022.50%4000000.2000000000
Statistiques d’équipe totales ou en moyenne91817831749510023315115011721605460114011.09%4431608917.53264874220104200014712291253.01%412600130.62615200262829
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
1Malcolm SubbanMilwaukee Admirals (NSH)54321750.8922.7332260214713650100.73315540310
2Michael McNivenMilwaukee Admirals (NSH)10000.9291.3644001140000.00%0054000
Statistiques d’équipe totales ou en moyenne55321750.8932.723271021481379010155454310


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 Plafond 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
Alexander SuzdalevMilwaukee Admirals (NSH)LW182004-03-05 4:59:38 AMYes176 Lbs6 ft2NoNoNo3Pro & Farm0$0$No
Andrew PeekeMilwaukee Admirals (NSH)D241998-03-17Yes196 Lbs6 ft3NoNoNo3Pro & Farm0$0$NoLien
Benjamin RogerMilwaukee Admirals (NSH)D202002-11-03 2:43:22 AMYes201 Lbs6 ft3NoNoNo3Pro & Farm0$0$No
Cedric PaquetteMilwaukee Admirals (NSH)C291993-08-13No205 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLien
Chris WagnerMilwaukee Admirals (NSH)C/RW311991-05-27No198 Lbs6 ft0NoNoNo2Pro & Farm0$0$NoLien
Colton WhiteMilwaukee Admirals (NSH)D251997-05-03No187 Lbs6 ft1NoNoNo2Pro & Farm0$0$NoLien
Dean KukanMilwaukee Admirals (NSH)D291993-07-08No190 Lbs6 ft2NoNoNo1Pro & Farm0$0$NoLien
Evan FitzpatrickMilwaukee Admirals (NSH)G251998-01-28Yes205 Lbs6 ft3NoNoNo2Pro & Farm0$0$NoLien
Jack FinleyMilwaukee Admirals (NSH)C202002-09-02Yes223 Lbs6 ft5NoNoNo3Pro & Farm0$0$NoLien
Jasper WeatherbyMilwaukee Admirals (NSH)C/LW251998-01-22Yes222 Lbs6 ft4NoNoNo2Pro & Farm0$0$NoLien
Joshua Ho-SangMilwaukee Admirals (NSH)RW271996-01-22No173 Lbs6 ft0NoNoNo2Pro & Farm0$0$NoLien
Juuso ValimakiMilwaukee Admirals (NSH)D241998-10-06Yes212 Lbs6 ft2NoNoNo2Pro & Farm0$0$NoLien
Kevin RooneyMilwaukee Admirals (NSH)C/LW291993-05-21No201 Lbs6 ft2NoNoNo3Pro & Farm0$0$NoLien
Malcolm SubbanMilwaukee Admirals (NSH)G291993-12-21No216 Lbs6 ft2NoNoNo3Pro & Farm0$0$NoLien
Mason LohreiMilwaukee Admirals (NSH)D222001-01-17 1:00:57 AMYes201 Lbs6 ft4NoNoNo3Pro & Farm0$0$No
Matthew PhillipsMilwaukee Admirals (NSH)C241998-04-06No165 Lbs5 ft8NoNoNo2Pro & Farm0$0$NoLien
Michael McNivenMilwaukee Admirals (NSH)G251997-07-09Yes198 Lbs6 ft1NoNoNo2Pro & Farm0$0$NoLien
Rocco GrimaldiMilwaukee Admirals (NSH)C/RW291993-02-08No181 Lbs5 ft6NoNoNo1Pro & Farm0$0$NoLien
Ryan GreeneMilwaukee Admirals (NSH)C192003-10-21 8:13:16 AMYes174 Lbs6 ft1NoNoNo3Pro & Farm0$0$No
Tyler PitlickMilwaukee Admirals (NSH)LW311991-11-01No200 Lbs6 ft2NoNoNo2Pro & Farm0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2025.25196 Lbs6 ft12.250$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jasper WeatherbyKevin RooneyJoshua Ho-Sang30122
2Tyler PitlickCedric PaquetteChris Wagner30122
3Alexander SuzdalevMatthew PhillipsRocco Grimaldi25122
4Kevin RooneyJack FinleyJasper Weatherby15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrew PeekeDean Kukan30122
2Colton WhiteJuuso Valimaki30122
3Benjamin RogerMason Lohrei25122
4Andrew PeekeDean Kukan15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jasper WeatherbyKevin RooneyJoshua Ho-Sang60122
2Tyler PitlickCedric PaquetteChris Wagner40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrew PeekeDean Kukan60122
2Colton WhiteJuuso Valimaki40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kevin RooneyJasper Weatherby60122
2Tyler PitlickCedric Paquette40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrew PeekeDean Kukan60122
2Colton WhiteJuuso Valimaki40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kevin Rooney60122Andrew PeekeDean Kukan60122
2Jasper Weatherby40122Colton WhiteJuuso Valimaki40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kevin RooneyJasper Weatherby60122
2Tyler PitlickCedric Paquette40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrew PeekeDean Kukan60122
2Colton WhiteJuuso Valimaki40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jasper WeatherbyKevin RooneyJoshua Ho-SangAndrew PeekeDean Kukan
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jasper WeatherbyKevin RooneyJoshua Ho-SangAndrew PeekeDean Kukan
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Greene, Matthew Phillips, Rocco GrimaldiRyan Greene, Matthew PhillipsRocco Grimaldi
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Benjamin Roger, Mason Lohrei, Colton WhiteBenjamin RogerMason Lohrei, Colton White
Tirs de pénalité
Kevin Rooney, Jasper Weatherby, Tyler Pitlick, Cedric Paquette, Joshua Ho-Sang
Gardien
#1 : Malcolm Subban, #2 : Michael McNiven
Lignes d’attaque personnalisées en prolongation
Kevin Rooney, Jasper Weatherby, Tyler Pitlick, Cedric Paquette, Joshua Ho-Sang, Matthew Phillips, Matthew Phillips, Chris Wagner, Rocco Grimaldi, Alexander Suzdalev, Jack Finley
Lignes de défense personnalisées en prolongation
Andrew Peeke, Dean Kukan, Colton White, Juuso Valimaki, 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 Canucks22000000523220000005230000000000041.000510150160645010615185735002938101040500.00%4175.00%0923172453.54%773149051.88%49187456.18%13889711159392726378
2Bakersfield Condors21100000541110000004041010000014-320.5005914016064501058518573500294564466233.33%2150.00%0923172453.54%773149051.88%49187456.18%13889711159392726378
3Belleville Senators22000000835110000004221100000041341.0008142200606450106351857350029391110417114.29%4175.00%0923172453.54%773149051.88%49187456.18%13889711159392726378
4Bridgeport Islanders1010000013-21010000013-20000000000000.0001230060645010235185735002916122203133.33%10100.00%0923172453.54%773149051.88%49187456.18%13889711159392726378
5Calgary Wranglers210010001183110000006421000100054141.0001119300060645010475185735002952226506350.00%3166.67%0923172453.54%773149051.88%49187456.18%13889711159392726378
6Chicago Wolves402010011117-630101001912-31010000025-330.37511203100606450101035185735002910140128312216.67%5180.00%0923172453.54%773149051.88%49187456.18%13889711159392726378
7Coachella Valley Firebirds3100020067-1210001005501000010012-140.66761016006064501010051857350029551615585120.00%50100.00%0923172453.54%773149051.88%49187456.18%13889711159392726378
8Colorado Eagles1010000023-1000000000001010000023-100.00023500606450102151857350029326610200.00%3233.33%0923172453.54%773149051.88%49187456.18%13889711159392726378
9Grand Rapids Griffins431000001688220000009272110000076160.750162743006064501012151857350029973720687228.57%90100.00%0923172453.54%773149051.88%49187456.18%13889711159392726378
10Hartford Wolf Pack20100010660000000000002010001066020.5006915006064501063518573500294614641400.00%30100.00%0923172453.54%773149051.88%49187456.18%13889711159392726378
11Henderson Silver Knights5500000028721110000004134400000024618101.000285280006064501018651857350029116512211712325.00%11281.82%0923172453.54%773149051.88%49187456.18%13889711159392726378
12Hershey Bears20100010550201000105500000000000020.50057120060645010535185735002937131038400.00%5180.00%0923172453.54%773149051.88%49187456.18%13889711159392726378
13Iowa Wild4210010011110210001006602110000055050.62511182900606450109551857350029963012746116.67%6183.33%0923172453.54%773149051.88%49187456.18%13889711159392726378
14Lehigh Valley Phantoms1010000013-2000000000001010000013-200.00012300606450103351857350029301421102150.00%3166.67%0923172453.54%773149051.88%49187456.18%13889711159392726378
15Ontario Reign2110000045-1110000003211010000013-220.50048120060645010425185735002949226354125.00%20100.00%0923172453.54%773149051.88%49187456.18%13889711159392726378
16Providence Bruins1010000013-21010000013-20000000000000.00012300606450102551857350029293217300.00%10100.00%0923172453.54%773149051.88%49187456.18%13889711159392726378
17Rochester Americans1010000023-1000000000001010000023-100.00024600606450101551857350029331142211100.00%20100.00%0923172453.54%773149051.88%49187456.18%13889711159392726378
18Rockford IceHogs530010102714132200000010463100101017107101.000274774006064501017051857350029178452513012433.33%90100.00%0923172453.54%773149051.88%49187456.18%13889711159392726378
19San Diego Gulls2110000069-3110000004311010000026-420.50069150060645010555185735002955144552150.00%220.00%0923172453.54%773149051.88%49187456.18%13889711159392726378
20San Jose Barracuda11000000532110000005320000000000021.0005914006064501046518573500293112429300.00%20100.00%0923172453.54%773149051.88%49187456.18%13889711159392726378
21Syracuse Crunch1010000024-21010000024-20000000000000.00024600606450104951857350029233229600.00%10100.00%0923172453.54%773149051.88%49187456.18%13889711159392726378
22Texas Stars2110000046-2000000000002110000046-220.500471100606450107251857350029649855100.00%40100.00%0923172453.54%773149051.88%49187456.18%13889711159392726378
23Toronto Marlies1000010056-1000000000001000010056-110.50059140060645010395185735002946214213266.67%20100.00%0923172453.54%773149051.88%49187456.18%13889711159392726378
24Tucson Roadrunners11000000211000000000001100000021121.00023500606450101851857350029269423000.00%20100.00%0923172453.54%773149051.88%49187456.18%13889711159392726378
25Utica Comets1010000024-21010000024-20000000000000.00023500606450101951857350029184610300.00%30100.00%0923172453.54%773149051.88%49187456.18%13889711159392726378
26Wilkes-Barre/Scranton Penguins10001000541100010005410000000000021.0005101500606450102851857350029278829300.00%4250.00%0923172453.54%773149051.88%49187456.18%13889711159392726378
Total5425170443118114932271560221190692127101102220918011690.6391813174980260645010160551857350029137944323311511222621.31%981683.67%0923172453.54%773149051.88%49187456.18%13889711159392726378
_Since Last GM Reset5425170443118114932271560221190692127101102220918011690.6391813174980260645010160551857350029137944323311511222621.31%981683.67%0923172453.54%773149051.88%49187456.18%13889711159392726378
_Vs Conference3821903311138103351712101201654223219802110736112540.7111382413790160645010113451857350029997319148833782025.64%651084.62%0923172453.54%773149051.88%49187456.18%13889711159392726378
_Vs Division13950211146351145101101161069440101030255261.0004678124006064501037651857350029396995529221523.81%24387.50%0923172453.54%773149051.88%49187456.18%13889711159392726378

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5469OTL118131749816051379443233115102
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5425174431181149
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2715622119069
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
27101122209180
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1222621.31%981683.67%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
5185735002960645010
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
923172453.54%773149051.88%49187456.18%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13889711159392726378


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
2 - 2022-10-0713Chicago Wolves3Milwaukee Admirals4BWXSommaire du match
4 - 2022-10-0927Milwaukee Admirals7Henderson Silver Knights1AWSommaire du match
6 - 2022-10-1146Milwaukee Admirals8Henderson Silver Knights1AWSommaire du match
7 - 2022-10-1257Chicago Wolves5Milwaukee Admirals4BLXXSommaire du match
8 - 2022-10-1363Milwaukee Admirals1Iowa Wild3ALSommaire du match
12 - 2022-10-1788Hershey Bears4Milwaukee Admirals3BLSommaire du match
13 - 2022-10-1897Milwaukee Admirals3Grand Rapids Griffins4ALSommaire du match
15 - 2022-10-20115Iowa Wild2Milwaukee Admirals3BWSommaire du match
18 - 2022-10-23133Milwaukee Admirals0Texas Stars4ALSommaire du match
19 - 2022-10-24142Milwaukee Admirals6Rockford IceHogs1AWSommaire du match
21 - 2022-10-26158Chicago Wolves4Milwaukee Admirals1BLSommaire du match
23 - 2022-10-28175Milwaukee Admirals4Belleville Senators1AWSommaire du match
25 - 2022-10-30188Henderson Silver Knights1Milwaukee Admirals4BWSommaire du match
28 - 2022-11-02208Milwaukee Admirals2Chicago Wolves5ALSommaire du match
30 - 2022-11-04221Milwaukee Admirals4Hartford Wolf Pack3AWXXSommaire du match
31 - 2022-11-05224Coachella Valley Firebirds1Milwaukee Admirals2BWSommaire du match
34 - 2022-11-08246Milwaukee Admirals5Henderson Silver Knights2AWSommaire du match
35 - 2022-11-09256Hershey Bears1Milwaukee Admirals2BWXXSommaire du match
38 - 2022-11-12281Milwaukee Admirals1Coachella Valley Firebirds2ALXSommaire du match
39 - 2022-11-13287San Diego Gulls3Milwaukee Admirals4BWSommaire du match
42 - 2022-11-16311Milwaukee Admirals4Henderson Silver Knights2AWSommaire du match
44 - 2022-11-18320San Jose Barracuda3Milwaukee Admirals5BWSommaire du match
47 - 2022-11-21344Milwaukee Admirals1Lehigh Valley Phantoms3ALSommaire du match
48 - 2022-11-22351Ontario Reign2Milwaukee Admirals3BWSommaire du match
52 - 2022-11-26381Wilkes-Barre/Scranton Penguins4Milwaukee Admirals5BWXSommaire du match
54 - 2022-11-28394Milwaukee Admirals1Ontario Reign3ALSommaire du match
56 - 2022-11-30409Coachella Valley Firebirds4Milwaukee Admirals3BLXSommaire du match
59 - 2022-12-03428Milwaukee Admirals2Tucson Roadrunners1AWSommaire du match
61 - 2022-12-05441Utica Comets4Milwaukee Admirals2BLSommaire du match
63 - 2022-12-07458Milwaukee Admirals4Iowa Wild2AWSommaire du match
66 - 2022-12-10476Abbotsford Canucks2Milwaukee Admirals3BWSommaire du match
68 - 2022-12-12488Milwaukee Admirals4Grand Rapids Griffins2AWSommaire du match
71 - 2022-12-15508Grand Rapids Griffins1Milwaukee Admirals3BWSommaire du match
73 - 2022-12-17529Rockford IceHogs2Milwaukee Admirals7BWSommaire du match
75 - 2022-12-19547Milwaukee Admirals4Texas Stars2AWSommaire du match
77 - 2022-12-21555Milwaukee Admirals5Calgary Wranglers4AWXSommaire du match
79 - 2022-12-23570Abbotsford Canucks0Milwaukee Admirals2BWSommaire du match
82 - 2022-12-26594Providence Bruins3Milwaukee Admirals1BLSommaire du match
85 - 2022-12-29617Milwaukee Admirals1Bakersfield Condors4ALSommaire du match
87 - 2022-12-31625Rockford IceHogs2Milwaukee Admirals3BWSommaire du match
90 - 2023-01-03651Belleville Senators2Milwaukee Admirals4BWSommaire du match
92 - 2023-01-05664Milwaukee Admirals2Hartford Wolf Pack3ALSommaire du match
93 - 2023-01-06678Milwaukee Admirals5Toronto Marlies6ALXSommaire du match
95 - 2023-01-08687Milwaukee Admirals4Rockford IceHogs3AWXSommaire du match
96 - 2023-01-09696Bridgeport Islanders3Milwaukee Admirals1BLSommaire du match
98 - 2023-01-11717Milwaukee Admirals7Rockford IceHogs6AWXXSommaire du match
100 - 2023-01-13727Grand Rapids Griffins1Milwaukee Admirals6BWSommaire du match
104 - 2023-01-17755Calgary Wranglers4Milwaukee Admirals6BWSommaire du match
107 - 2023-01-20776Milwaukee Admirals2Rochester Americans3ALSommaire du match
109 - 2023-01-22789Bakersfield Condors0Milwaukee Admirals4BWSommaire du match
111 - 2023-01-24804Milwaukee Admirals2San Diego Gulls6ALSommaire du match
113 - 2023-01-26815Syracuse Crunch4Milwaukee Admirals2BLSommaire du match
115 - 2023-01-28836Milwaukee Admirals2Colorado Eagles3ALSommaire du match
116 - 2023-01-29846Iowa Wild4Milwaukee Admirals3BLXSommaire du match
120 - 2023-02-02870Milwaukee Admirals-Abbotsford Canucks-
121 - 2023-02-03882Hershey Bears-Milwaukee Admirals-
124 - 2023-02-06898Milwaukee Admirals-Iowa Wild-
127 - 2023-02-09915Texas Stars-Milwaukee Admirals-
130 - 2023-02-12941Laval Rocket-Milwaukee Admirals-
132 - 2023-02-14951Milwaukee Admirals-Chicago Wolves-
134 - 2023-02-16970Milwaukee Admirals-Texas Stars-
136 - 2023-02-18981Ontario Reign-Milwaukee Admirals-
138 - 2023-02-201003Charlotte Checkers-Milwaukee Admirals-
139 - 2023-02-211010Milwaukee Admirals-Hershey Bears-
143 - 2023-02-251037Colorado Eagles-Milwaukee Admirals-
146 - 2023-02-281048Milwaukee Admirals-Springfield Thunderbirds-
149 - 2023-03-031068Chicago Wolves-Milwaukee Admirals-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
151 - 2023-03-051083Milwaukee Admirals-Belleville Senators-
153 - 2023-03-071101Chicago Wolves-Milwaukee Admirals-
156 - 2023-03-101125Milwaukee Admirals-Manitoba Moose-
157 - 2023-03-111132Bakersfield Condors-Milwaukee Admirals-
160 - 2023-03-141156Texas Stars-Milwaukee Admirals-
163 - 2023-03-171178Milwaukee Admirals-Cleveland Monsters-
164 - 2023-03-181182Milwaukee Admirals-Grand Rapids Griffins-
165 - 2023-03-191188Milwaukee Admirals-Manitoba Moose-
167 - 2023-03-211203Henderson Silver Knights-Milwaukee Admirals-
170 - 2023-03-241226Milwaukee Admirals-San Jose Barracuda-
171 - 2023-03-251233Manitoba Moose-Milwaukee Admirals-
175 - 2023-03-291260Manitoba Moose-Milwaukee Admirals-
176 - 2023-03-301269Milwaukee Admirals-Cleveland Monsters-
179 - 2023-04-021284Milwaukee Admirals-San Jose Barracuda-
183 - 2023-04-061303Tucson Roadrunners-Milwaukee Admirals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité45003500
Prix des billets350
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
14 0 - 0.00% 0$0$8000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 0$ 0$ 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$ 69 0$ 0$




Milwaukee Admirals 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

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 (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