Please rotate your device to landscape mode for a better experience.
Connexion

Milwaukee Admirals
GP: 12 | W: 6 | L: 5 | OTL: 1 | P: 19
GF: 33 | GA: 38 | PP%: 38.30% | PK%: 83.33%
DG: Jaryn | Morale : 40 | Moyenne d’équipe : 66
Prochains matchs #175 vs Grand Rapids Griffins

Centre de jeu
Milwaukee Admirals
6-5-1, 19pts
1
2 Colorado Eagles
8-3-1, 24pts
Team Stats
W1SéquenceW2
2-1-1Fiche domicile3-2-0
4-4-0Fiche domicile5-1-1
4-5-1Derniers 10 matchs6-3-1
2.75Buts par match 3.50
3.17Buts contre par match 3.08
38.30%Pourcentage en avantage numérique15.69%
83.33%Pourcentage en désavantage numérique72.00%
Milwaukee Admirals
6-5-1, 19pts
3
1 Bakersfield Condors
8-1-3, 25pts
Team Stats
W1SéquenceL1
2-1-1Fiche domicile4-1-1
4-4-0Fiche domicile4-0-2
4-5-1Derniers 10 matchs6-1-3
2.75Buts par match 3.92
3.17Buts contre par match 2.75
38.30%Pourcentage en avantage numérique33.33%
83.33%Pourcentage en désavantage numérique76.74%
Grand Rapids Griffins
8-3-1, 24pts
Jour 29
Milwaukee Admirals
6-5-1, 19pts
Statistiques d’équipe
W7SéquenceW1
4-3-0Fiche domicile2-1-1
4-0-1Fiche visiteur4-4-0
7-2-110 derniers matchs4-5-1
3.67Buts par match 2.75
2.50Buts contre par match 2.75
21.28%Pourcentage en avantage numérique38.30%
88.89%Pourcentage en désavantage numérique83.33%
Cleveland Monsters
5-4-3, 16pts
Jour 33
Milwaukee Admirals
6-5-1, 19pts
Statistiques d’équipe
L1SéquenceW1
2-2-1Fiche domicile2-1-1
3-2-2Fiche visiteur4-4-0
5-3-210 derniers matchs4-5-1
3.33Buts par match 2.75
3.17Buts contre par match 2.75
24.49%Pourcentage en avantage numérique38.30%
83.33%Pourcentage en désavantage numérique83.33%
Pee Dee Pride
8-2-2, 25pts
Jour 35
Milwaukee Admirals
6-5-1, 19pts
Statistiques d’équipe
W2SéquenceW1
2-2-2Fiche domicile2-1-1
6-0-0Fiche visiteur4-4-0
6-2-210 derniers matchs4-5-1
3.33Buts par match 2.75
2.58Buts contre par match 2.75
20.41%Pourcentage en avantage numérique38.30%
90.63%Pourcentage en désavantage numérique83.33%
Meneurs d'équipe
Buts
Reilly Smith
8
Passes
Adam Henrique
12
Points
Adam Henrique
20
Plus/Moins
Garrett Pilon
4
Victoires
KARI PIIROINEN
4
Pourcentage d’arrêts
KARI PIIROINEN
0.919

Statistiques d’équipe
Buts pour
33
2.75 GFG
Tirs pour
320
26.67 Avg
Pourcentage en avantage numérique
38.3%
18 GF
Début de zone offensive
34.2%
Buts contre
38
3.17 GAA
Tirs contre
407
33.92 Avg
Pourcentage en désavantage numérique
83.3%%
8 GA
Début de la zone défensive
40.4%
Informations de l'équipe

Directeur généralJaryn
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,569
Billets de saison1,200


Informations de la formation

Équipe Pro22
Équipe Mineure19
Limite contact 41 / 250
Espoirs10


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
1Reilly Smith0X95.0067408177618078716275696871817855407003411,700,000$
2Walker Duehr0X97.008451796685747562556766726476825540680272500,000$
3Corey Perry0X100.005555696180797162696568696499995540670401500,000$
4Mark Kastelic0X99.008655616587707560786463726275715540670262800,000$
5Pontus Holmberg0X100.006145767573777564696865726675665540670261500,000$
6Tyler Pitlick0X100.0087497764727569666468656563817755406603311,500,000$
7Alex Belzile0X100.007044766772707162655861706279695540640332500,000$
8Jonathan Gruden0X100.008145717960657360605661706573665540640251500,000$
9Garrett Pilon0X100.005342797268667460665662666470625540630271500,000$
10Jere Innala0X99.005240777261636360605659676276765540620271500,000$
11Ian Cole0X99.007656676090798763506659775588845540710362500,000$
12Parker Wotherspoon0X99.0055447976926977645065617661766955407002721,525,000$
13Ben Thomas0X100.005342827980687062506061686175675540660291500,000$
14John Gilmour0X100.005148796978707662506260685779785540660321625,000$
15Mike Reilly0X100.006144827461727765506863646177805540660313500,000$
16Julius Honka0X100.005440768347656862506461636275585840630294625,000$
17Michael Kapla0X100.005820797655727260505659665863588540630301500,000$
Rayé
1Adam Henrique0X94.0069428072658086728773706168827555406903511,500,000$
2Anton Lindholm0X100.005115797845565559505659655964598040600301500,000$
MOYENNE D’ÉQUIPE99.05644376727071736360636368627772584066
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
1KARI PIIROINEN096.00816060767774757777747567565240710241250,000$
2SAMI RAJANIEMI0100.00766060747373747272737078655240700321250,000$
Rayé
1MARKUS RUUSU0100.00816060787472737373727172615240700271250,000$
MOYENNE D’ÉQUIPE98.6779606076757374747473727261524070
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Adam HenriqueMilwaukee Admirals (SJS)C1181220-480323743132718.60%727925.40581312310002343055.08%30537001.4300000230
2Reilly SmithMilwaukee Admirals (SJS)RW108614-51515132836172522.22%726126.174598210002350142.68%8276001.0700111120
3Walker DuehrMilwaukee Admirals (SJS)RW126410-107529323761716.22%526822.345278250003221035.48%3141000.7500001201
4Jonathan GrudenMilwaukee Admirals (SJS)LW12336-640201916307910.00%620917.493251131000010046.67%1523000.5700202001
5Parker WotherspoonMilwaukee Admirals (SJS)D12066-495102718990%1530125.12044136000043000%065000.4000001001
6Jere InnalaMilwaukee Admirals (SJS)LW12145-11551818285123.57%622218.56123624000090038.46%1362000.4500100000
7Mark KastelicMilwaukee Admirals (SJS)C12134-111953035246154.17%723819.850222240002150053.46%15923000.3400001010
8Pontus HolmbergMilwaukee Admirals (SJS)RW12134123515172912173.45%717314.43000140003131035.00%2035000.4600001000
9Corey PerryMilwaukee Admirals (SJS)RW1112324051193211.11%1827.500000000001010%001000.7300000000
10Ian ColeMilwaukee Admirals (SJS)D12123-67535254216666.25%2028924.09022534000128100%016000.2100205000
11Garrett PilonMilwaukee Admirals (SJS)C1220241210718102920.00%314912.4400000000040133.87%6232000.2700110001
12Tyler PitlickMilwaukee Admirals (SJS)RW12112-2121015712248.33%31189.8900004000130052.94%1722000.3400002000
13Alex BelzileMilwaukee Admirals (SJS)RW12011-220691030%0685.7200003000000042.86%710000.2900000000
14Ben ThomasMilwaukee Admirals (SJS)D12011-1402108110%418315.2900001000008000%0611000.1100000000
15John GilmourMilwaukee Admirals (SJS)D12011-8554194320%1219816.53000113000018000%023000.1000010000
16Mike ReillyMilwaukee Admirals (SJS)D12011-62081611540%1422919.10000121000026000%054000.0900000000
17Anton LindholmMilwaukee Admirals (SJS)D5000-200051000%0326.520000000000000%00000000000000
18Julius HonkaMilwaukee Admirals (SJS)D11000-100240100%2645.870000000004000%00100000000000
19Michael KaplaMilwaukee Admirals (SJS)D12000-120783110%1314712.2800000000014000%00200001000000
Statistiques d’équipe totales ou en moyenne216335083-732441202473593209916310.31%132351816.2918274556291000142866349.37%7115364000.47017314564
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
1KARI PIIROINENMilwaukee Admirals (SJS)94500.9192.915160025310162000084210
2SAMI RAJANIEMIMilwaukee Admirals (SJS)42010.8663.8420300139746000048000
Statistiques d’équipe totales ou en moyenne136510.9073.1771900384072080001212210


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Adam HenriqueMilwaukee Admirals (SJS)C351990-02-06CANNo194 Lbs6 ft0NoNoTrade2025-11-13NoNo12025-09-30FalseFalsePro & Farm1,500,000$1,284,574$0$0$No---------------------------Lien
Alex BelzileMilwaukee Admirals (SJS)RW331991-08-31CANNo196 Lbs6 ft0NoNoFree AgentNoNo22025-10-20FalseFalsePro & Farm500,000$428,191$0$0$No500,000$--------500,000$--------No--------Lien
Anton LindholmMilwaukee Admirals (SJS)D301994-11-29SWENo191 Lbs5 ft11NoNoFree AgentNoNo12025-11-24FalseFalsePro & Farm500,000$428,191$0$0$No---------------------------
Ben ThomasMilwaukee Admirals (SJS)D291996-05-28CANNo187 Lbs6 ft1NoNoTrade2025-11-13NoNo12025-10-27FalseFalsePro & Farm500,000$428,191$0$0$No---------------------------Lien
Corey Perry (contrat à 1 volet)Milwaukee Admirals (SJS)RW401985-05-16CANNo208 Lbs6 ft3NoNoFree AgentNoNo12025-10-20FalseFalsePro & Farm500,000$428,191$0$0$No---------------------------Lien
Garrett PilonMilwaukee Admirals (SJS)C271998-04-13CANNo192 Lbs6 ft0NoNoFree AgentNoNo12025-11-24FalseFalsePro & Farm500,000$428,191$0$0$No---------------------------Lien
Ian Cole (contrat à 1 volet)Milwaukee Admirals (SJS)D361989-02-21USANo225 Lbs6 ft1NoNoFree AgentNoNo22025-10-27FalseFalsePro & Farm500,000$428,191$0$0$No500,000$--------500,000$--------No--------Lien
Jere InnalaMilwaukee Admirals (SJS)LW271998-03-17FINNo183 Lbs5 ft9NoNoFree AgentNoNo12025-11-24FalseFalsePro & Farm500,000$428,191$0$0$No---------------------------Lien
John GilmourMilwaukee Admirals (SJS)D321993-05-17CANNo207 Lbs6 ft0NoNoTrade2025-11-13NoNo12025-09-30FalseFalsePro & Farm625,000$535,239$0$0$No---------------------------
Jonathan GrudenMilwaukee Admirals (SJS)LW252000-05-04USANo172 Lbs6 ft0NoNoTrade2025-11-13NoNo12025-10-20FalseFalsePro & Farm500,000$428,191$0$0$No---------------------------Lien
Julius HonkaMilwaukee Admirals (SJS)D291995-12-03FINNo180 Lbs5 ft11NoNoTrade2025-11-13NoNo42025-10-24FalseFalsePro & Farm625,000$535,239$0$0$No625,000$625,000$625,000$------625,000$625,000$625,000$------NoNoNo------
KARI PIIROINEN (contrat à 1 volet)Milwaukee Admirals (SJS)G242001-07-01FINNo176 Lbs6 ft1NoNoFree AgentNoNo12025-11-24FalseFalseFarm Only250,000$214,096$0$0$No---------------------------Lien
MARKUS RUUSU (contrat à 1 volet)Milwaukee Admirals (SJS)G271997-08-23FINNo176 Lbs6 ft2NoNoFree AgentNoNo12025-11-24FalseFalseFarm Only250,000$214,096$0$0$No---------------------------Lien
Mark KastelicMilwaukee Admirals (SJS)C261999-03-11USANo209 Lbs6 ft4NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm800,000$685,106$0$0$No800,000$--------800,000$--------No--------Lien
Michael KaplaMilwaukee Admirals (SJS)D301994-09-19USANo201 Lbs6 ft0NoNoFree AgentNoNo12025-11-24FalseFalsePro & Farm500,000$428,191$0$0$No---------------------------Lien
Mike ReillyMilwaukee Admirals (SJS)D311993-07-13USANo196 Lbs6 ft1NoNoFree AgentNoNo32025-10-27FalseFalsePro & Farm500,000$428,191$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Parker WotherspoonMilwaukee Admirals (SJS)D271997-08-24CANNo190 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,525,000$1,305,984$0$0$No1,525,000$--------1,525,000$--------No--------Lien
Pontus HolmbergMilwaukee Admirals (SJS)RW261999-03-09SWENo187 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$428,191$0$0$No---------------------------Lien
Reilly SmithMilwaukee Admirals (SJS)RW341991-04-01CANNo185 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,700,000$1,455,851$0$0$No---------------------------Lien
SAMI RAJANIEMI (contrat à 1 volet)Milwaukee Admirals (SJS)G321992-08-20FINNo183 Lbs6 ft0NoNoFree AgentNoNo12025-11-24FalseFalseFarm Only250,000$214,096$0$0$No---------------------------Lien
Tyler PitlickMilwaukee Admirals (SJS)RW331991-11-01USANo201 Lbs6 ft2NoNoTrade2025-11-13NoNo12025-09-30FalseFalsePro & Farm1,500,000$1,284,574$0$0$No---------------------------Lien
Walker DuehrMilwaukee Admirals (SJS)RW271997-11-23USANo209 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm500,000$428,191$0$0$No500,000$--------500,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2230.00193 Lbs6 ft11.45682,955$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonathan GrudenReilly Smith40122
2Jere InnalaMark KastelicWalker Duehr30122
3Reilly SmithGarrett PilonPontus Holmberg20122
4Walker DuehrCorey Perry10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian ColeParker Wotherspoon40122
2Mike ReillyJohn Gilmour30122
3Ben ThomasMichael Kapla20122
4Julius HonkaIan Cole10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonathan GrudenReilly Smith60122
2Jere InnalaMark KastelicWalker Duehr40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian ColeParker Wotherspoon60122
2Mike ReillyJohn Gilmour40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Reilly Smith60122
2Walker DuehrMark Kastelic40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian ColeParker Wotherspoon60122
2Mike ReillyJohn Gilmour40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Reilly Smith60122Ian ColeParker Wotherspoon60122
240122Mike ReillyJohn Gilmour40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Reilly Smith60122
2Walker DuehrMark Kastelic40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian ColeParker Wotherspoon60122
2Mike ReillyJohn Gilmour40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonathan GrudenReilly SmithIan ColeParker Wotherspoon
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonathan GrudenReilly SmithIan ColeParker Wotherspoon
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Pitlick, Alex Belzile, Pontus HolmbergTyler Pitlick, Alex BelzilePontus Holmberg
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ben Thomas, Michael Kapla, Julius HonkaBen ThomasMichael Kapla, Julius Honka
Tirs de pénalité
Reilly Smith, , Walker Duehr, Mark Kastelic, Pontus Holmberg
Gardien
#1 : KARI PIIROINEN, #2 : SAMI RAJANIEMI
Lignes d’attaque personnalisées en prolongation
Reilly Smith, , Walker Duehr, Mark Kastelic, Pontus Holmberg, Corey Perry, Tyler Pitlick, Alex Belzile, Jonathan Gruden, Garrett Pilon
Lignes de défense personnalisées en prolongation
Ian Cole, Parker Wotherspoon, Mike Reilly, John Gilmour, Ben Thomas


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 Canucks11000000532000000000001100000053231.000561100613140266710015303014111622100.00%30100.00%011324346.50%14428750.17%9418052.22%218102268120234118
2Athens Rock Lobsters1000010034-11000010034-10000000000010.33335800613140316710015303916112622100.00%30100.00%011324346.50%14428750.17%9418052.22%218102268120234118
3Bakersfield Condors11000000312000000000001100000031231.0003580061314024671001530301719285240.00%7185.71%011324346.50%14428750.17%9418052.22%218102268120234118
4Bloomington Bison11000000312110000003120000000000031.000347006131402667100153019321198337.50%30100.00%011324346.50%14428750.17%9418052.22%218102268120234118
5Coachella Valley Firebirds11000000312110000003120000000000031.0003470061314020671001530331213215240.00%40100.00%011324346.50%14428750.17%9418052.22%218102268120234118
6Colorado Eagles1010000012-1000000000001010000012-100.00011200613140276710015303891519400.00%50100.00%011324346.50%14428750.17%9418052.22%218102268120234118
7Henderson Silver Knights1010000048-41010000048-40000000000000.00046100061314031671001530291251227342.86%8450.00%011324346.50%14428750.17%9418052.22%218102268120234118
8Macon Whoopee1010000014-3000000000001010000014-300.0001120061314034671001530549727200.00%10100.00%011324346.50%14428750.17%9418052.22%218102268120234118
9Providence Bruins1010000013-2000000000001010000013-200.00012300613140286710015304115914100.00%20100.00%011324346.50%14428750.17%9418052.22%218102268120234118
10Reading Royals11000000422000000000001100000042231.0004711006131402167100153020833226350.00%4175.00%011324346.50%14428750.17%9418052.22%218102268120234118
11San Diego Gulls11000000431000000000001100000043131.0004812006131402467100153029918224125.00%4175.00%011324346.50%14428750.17%9418052.22%218102268120234118
12Utica Devils1010000016-5000000000001010000016-500.00011200613140286710015304583611100.00%4175.00%011324346.50%14428750.17%9418052.22%218102268120234118
Total1265001003338-5421001001314-1844000002024-4190.52833508300613140320671001530407132244247471838.30%48883.33%011324346.50%14428750.17%9418052.22%218102268120234118
_Since Last GM Reset1265001003338-5421001001314-1844000002024-4190.52833508300613140320671001530407132244247471838.30%48883.33%011324346.50%14428750.17%9418052.22%218102268120234118
_Vs Conference963000002825332100000101006420000018153180.6672842700061314023367100153028293188196431637.21%39782.05%011324346.50%14428750.17%9418052.22%218102268120234118
_Vs Division65100000231853210000010100330000001385150.8332335580061314014867100153016058147122321443.75%26676.92%011324346.50%14428750.17%9418052.22%218102268120234118

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1219W133508332040713224424700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
126501003338
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42101001314
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
84400002024
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
471838.30%48883.33%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
671001530613140
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
11324346.50%14428750.17%9418052.22%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
218102268120234118


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
212Milwaukee Admirals5Abbotsford Canucks3WSommaire du match
425Coachella Valley Firebirds1Milwaukee Admirals3WSommaire du match
641Henderson Silver Knights8Milwaukee Admirals4LSommaire du match
855Milwaukee Admirals4Reading Royals2WSommaire du match
1069Milwaukee Admirals4San Diego Gulls3WSommaire du match
1284Milwaukee Admirals1Macon Whoopee4LSommaire du match
1497Bloomington Bison1Milwaukee Admirals3WSommaire du match
15107Milwaukee Admirals1Utica Devils6LSommaire du match
17120Athens Rock Lobsters4Milwaukee Admirals3LXSommaire du match
20140Milwaukee Admirals1Providence Bruins3LSommaire du match
24154Milwaukee Admirals1Colorado Eagles2LSommaire du match
27168Milwaukee Admirals3Bakersfield Condors1WSommaire du match
29175Grand Rapids Griffins-Milwaukee Admirals-
33196Cleveland Monsters-Milwaukee Admirals-
35206Pee Dee Pride-Milwaukee Admirals-
38220Milwaukee Admirals-Rockford IceHogs-
41234Rockford IceHogs-Milwaukee Admirals-
45251Milwaukee Admirals-Pee Dee Pride-
48263Milwaukee Admirals-Cleveland Monsters-
51275Milwaukee Admirals-Grand Rapids Griffins-
54294Bakersfield Condors-Milwaukee Admirals-
57303Colorado Eagles-Milwaukee Admirals-
60317Milwaukee Admirals-Orlando Solar Bears-
62329Greensboro Gargoyles-Milwaukee Admirals-
64349Trois Rivieres Lions-Milwaukee Admirals-
66364Milwaukee Admirals-Wheeling Nailers-
68378Milwaukee Admirals-Macon Whoopee-
70391Milwaukee Admirals-San Diego Gulls-
72405Reading Royals-Milwaukee Admirals-
74419Milwaukee Admirals-Henderson Silver Knights-
76423Milwaukee Admirals-Bridgeport Islanders-
78439Iowa Heartlanders-Milwaukee Admirals-
80450Greenville Swamp Rabbits-Milwaukee Admirals-
84472Cleveland Monsters-Milwaukee Admirals-
87488Milwaukee Admirals-Pee Dee Pride-
89503Milwaukee Admirals-Rockford IceHogs-
92515Laval Rocket-Milwaukee Admirals-
93522Milwaukee Admirals-Laval Rocket-
95533Milwaukee Admirals-Savannah Ghost Pirates-
98554Savannah Ghost Pirates-Milwaukee Admirals-
100573Rochester Americans-Milwaukee Admirals-
102583Milwaukee Admirals-Lehigh Valley Phantoms-
105602Milwaukee Admirals-Coachella Valley Firebirds-
107613Abbotsford Canucks-Milwaukee Admirals-
110625Milwaukee Admirals-Bloomington Bison-
113635Colorado Eagles-Milwaukee Admirals-
115649Milwaukee Admirals-Bakersfield Condors-
118659Grand Rapids Griffins-Milwaukee Admirals-
121675Milwaukee Admirals-Trois Rivieres Lions-
123689Milwaukee Admirals-Greensboro Gargoyles-
125703Orlando Solar Bears-Milwaukee Admirals-
128727Providence Bruins-Milwaukee Admirals-
130742Milwaukee Admirals-Athens Rock Lobsters-
132752Utica Devils-Milwaukee Admirals-
135770Macon Whoopee-Milwaukee Admirals-
137783San Diego Gulls-Milwaukee Admirals-
139797Milwaukee Admirals-Reading Royals-
142811Henderson Silver Knights-Milwaukee Admirals-
144823Wheeling Nailers-Milwaukee Admirals-
146830Bridgeport Islanders-Milwaukee Admirals-
148844Milwaukee Admirals-Iowa Heartlanders-
152868Milwaukee Admirals-Greenville Swamp Rabbits-
154881Milwaukee Admirals-Rochester Americans-
156892Lehigh Valley Phantoms-Milwaukee Admirals-
158899Milwaukee Admirals-Cleveland Monsters-
160915Pee Dee Pride-Milwaukee Admirals-
162930Rockford IceHogs-Milwaukee Admirals-
164939Milwaukee Admirals-Grand Rapids Griffins-
166959Bakersfield Condors-Milwaukee Admirals-
168968Milwaukee Admirals-Colorado Eagles-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
171987Macon Whoopee-Milwaukee Admirals-
1731000San Diego Gulls-Milwaukee Admirals-
1751014Reading Royals-Milwaukee Admirals-
1771028Milwaukee Admirals-Henderson Silver Knights-
1801047Coachella Valley Firebirds-Milwaukee Admirals-
1811061Milwaukee Admirals-Coachella Valley Firebirds-
1831076Abbotsford Canucks-Milwaukee Admirals-
1841090Milwaukee Admirals-Abbotsford Canucks-
1861105Bloomington Bison-Milwaukee Admirals-
1871119Milwaukee Admirals-Bloomington Bison-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3111
Assistance6,6953,579
Assistance PCT83.69%89.48%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 2569 - 85.62% 61,729$246,914$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
190,647$ 1,327,500$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 190,647$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,222,226$ 161 7,061$ 1,136,821$




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