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Milwaukee Admirals
GP: 70 | W: 40 | L: 23 | OTL: 7 | P: 87
GF: 317 | GA: 271 | PP%: 35.60% | PK%: 74.52%
DG: Louis Robitaille | Morale : 50 | Moyenne d’équipe : 61

Centre de jeu
Texas Stars
31-31-8, 70pts
1
FINAL
5 Milwaukee Admirals
40-23-7, 87pts
Team Stats
L3SéquenceW2
18-15-2Fiche domicile24-10-1
13-16-6Fiche domicile16-13-6
5-5-0Derniers 10 matchs4-5-1
4.61Buts par match 4.53
4.83Buts contre par match 3.87
24.16%Pourcentage en avantage numérique35.60%
70.35%Pourcentage en désavantage numérique74.52%
Milwaukee Admirals
40-23-7, 87pts
5
FINAL
3 Rockford IceHogs
35-27-8, 78pts
Team Stats
W2SéquenceL2
24-10-1Fiche domicile22-11-2
16-13-6Fiche domicile13-16-6
4-5-1Derniers 10 matchs4-5-1
4.53Buts par match 4.67
3.87Buts contre par match 4.73
35.60%Pourcentage en avantage numérique31.09%
74.52%Pourcentage en désavantage numérique70.69%
Meneurs d'équipe
Philippe MyersButs
Philippe Myers
40
Caleb JonesPasses
Caleb Jones
61
Philippe MyersPoints
Philippe Myers
87
Hayden HodgsonPlus/Moins
Hayden Hodgson
15
Semyon VarlamovVictoires
Semyon Varlamov
9
Semyon VarlamovPourcentage d’arrêts
Semyon Varlamov
0.908

Statistiques d’équipe
Buts pour
317
4.53 GFG
Tirs pour
2680
38.29 Avg
Pourcentage en avantage numérique
35.6%
68 GF
Début de zone offensive
40.1%
Buts contre
271
3.87 GAA
Tirs contre
2642
37.74 Avg
Pourcentage en désavantage numérique
74.5%%
53 GA
Début de la zone défensive
40.1%
Informations de l'équipe

Directeur généralLouis Robitaille
EntraîneurMike Fisher
DivisionCentral Division
ConférenceWestern Conference
CapitaineAlex Belzile
Assistant #1Philippe Myers
Assistant #2Kevin Korchinski


Informations de l’aréna

Capacité9,000
Assistance8,625
Billets de saison8,370


Informations de la formation

Équipe Pro23
Équipe Mineure18
Limite contact 41 / 60
Espoirs13


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
1Emil HeinemanX100.007441807276746968416465646855500506602421,100,000$
2Zack OstapchukX100.00765867698072706566616166655550050650221825,000$
3Alex Belzile (C)X100.00575758666473716648666164646861050640341775,000$
4Cameron HebigX100.00584368666169686561616060645750050620292775,000$
5Jeffrey VielX100.00626450656569686444625863625750050620291775,000$
6Wyatt BongiovanniX100.00594269656365646355556157635350050600261775,000$
7Marc McLaughlinXXX100.00624270626566646049585358585350050590261775,000$
8Hayden HodgsonX100.00616350606569685842535257575950050580302775,000$
9Philippe Myers (A)X100.00704772708079736840626171666961050690292850,000$
10Caleb JonesX100.00644275686974726540635669637556050660282900,000$
11Kevin Korchinski (A)X100.00604473686970656840655962655550050640211918,333$
12Hunter McDonaldX100.00665261656864626040575467595150050620231950,000$
13Noah WarrenX100.00644264586958575840545359565050050590212865,000$
Rayé
1Chad HillebrandXXX100.005942635862626156405454565652500505702700$
2Zach DeanXXX100.005841706562605856415253565850500505702300$
3Eemil ViroX100.005742696563636159405152585951500505902400$
4Andrew LucasX100.005440696656636055405251615753500505802700$
5Charlie WrightX100.005940676262595756405453605750500505802200$
MOYENNE D’ÉQUIPE100.0062476665676765624558576261565205061
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
1Remi Poirier100.0071626667697073707168585150050630242775,000$
2Carter Gylander100.0063575764626161596261565150050560241855,000$
Rayé
1Semyon Varlamov100.00718180797778787878767492850507203722,750,000$
2Adam Scheel100.00726261656768716869675554500506202600$
3Isaiah Saville100.00595352595756585457565051500505202500$
MOYENNE D’ÉQUIPE100.006763636766676866676659605705061
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Fisher1111111CAN4551$


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
1Philippe MyersMilwaukee Admirals (NSH)D7040478774201741252276614817.62%96161623.0918143210115201101605433.33%900011.08040009611
2Caleb JonesMilwaukee Admirals (NSH)D701861797380114108181551289.94%105160022.861022327815003311501060.00%500100.9904000585
3Cameron HebigMilwaukee Admirals (NSH)C703042728120791912497615812.05%26121117.304913271070001424156.78%171200001.1902000495
4Kevin KorchinskiMilwaukee Admirals (NSH)D70174663-202007882133449812.78%96136719.53101424721360001162110%000000.9211000346
5Wyatt BongiovanniMilwaukee Admirals (NSH)LW702636621312072982555816510.20%1196013.72101370000143351.90%7900001.2900000333
6Hunter McDonaldMilwaukee Admirals (NSH)D70133851-1838018782135461199.63%119135219.32101525761360003150100%000010.7500000454
7Marc McLaughlinMilwaukee Admirals (NSH)C/LW/RW702227491028012272186489211.83%12116516.6525723107000023050.45%11100000.8423000342
8Hayden HodgsonMilwaukee Admirals (NSH)RW7021183915495162681624211512.96%1493413.3500024000022147.44%7800000.8300010904
9Noah WarrenMilwaukee Admirals (NSH)D20313165220543022112413.64%3032516.2701113000013100%000000.9800000211
10Jeffrey VielMilwaukee Admirals (NSH)LW205914-1341049275915548.47%438319.1902210351012400048.48%3300000.7301110102
11Emil HeinemanMilwaukee Admirals (NSH)LW127411580172854163312.96%427522.942137281012292043.48%13800010.8001000201
12Zack OstapchukMilwaukee Admirals (NSH)C123584603733359308.57%427422.861233280000291066.32%28500000.5801000011
13Alex BelzileMilwaukee Admirals (NSH)RW1225752010183610215.56%327222.710116280000291045.00%8000000.5101000000
Statistiques d’équipe totales ou en moyenne636207351558403111511559621734496118511.94%5241173818.46588614440992724610828251055.85%253000130.95318120454145
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
1Semyon VarlamovMilwaukee Admirals (NSH)159420.9083.3091001505430100.6673150300
2Remi PoirierMilwaukee Admirals (NSH)117400.8993.8164521414050001.00081126110
Statistiques d’équipe totales ou en moyenne2616820.9043.5115552291948010112626410


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer 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 ScheelMilwaukee Admirals (NSH)G261999-05-01USANo190 Lbs6 ft4NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Alex BelzileMilwaukee Admirals (NSH)RW341991-08-31CANNo196 Lbs6 ft0NoNoFantasy DraftNoNo12025-07-02FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Andrew LucasMilwaukee Admirals (NSH)D271999-02-05USANo161 Lbs6 ft1NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Caleb JonesMilwaukee Admirals (NSH)D281997-06-06USANo194 Lbs6 ft1NoNoFantasy DraftNoNo22025-07-02FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien NHL
Cameron HebigMilwaukee Admirals (NSH)C291997-01-21CANNo185 Lbs6 ft0NoNoFantasy DraftNoNo22025-07-22FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien NHL
Carter GylanderMilwaukee Admirals (NSH)G242001-06-05CANNo190 Lbs6 ft5NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm855,000$0$0$No---------------------------
Chad HillebrandMilwaukee Admirals (NSH)C/LW/RW271999-01-22USANo194 Lbs6 ft4NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Charlie WrightMilwaukee Admirals (NSH)D222003-10-22CANNo185 Lbs6 ft1NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------
Eemil ViroMilwaukee Admirals (NSH)D242002-04-03FINNo187 Lbs6 ft1NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Emil HeinemanMilwaukee Admirals (NSH)LW242001-11-16SWENo198 Lbs6 ft2NoNoAssign ManuallyNoNo22025-07-02FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien NHL
Hayden HodgsonMilwaukee Admirals (NSH)RW301996-03-02CANNo205 Lbs6 ft2NoNoFantasy DraftNoNo22025-07-03FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien NHL
Hunter McDonaldMilwaukee Admirals (NSH)D232002-05-11USANo205 Lbs6 ft4NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm950,000$0$0$No---------------------------Lien NHL
Isaiah SavilleMilwaukee Admirals (NSH)G252000-09-21CANNo207 Lbs6 ft1NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Jeffrey VielMilwaukee Admirals (NSH)LW291997-01-28CANNo205 Lbs6 ft2NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Kevin KorchinskiMilwaukee Admirals (NSH)D212004-06-21CANNo192 Lbs6 ft3NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm918,333$0$0$No---------------------------Lien NHL
Marc McLaughlinMilwaukee Admirals (NSH)C/LW/RW261999-07-26USANo205 Lbs6 ft0NoNoFantasy DraftNoNo12025-07-02FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Noah WarrenMilwaukee Admirals (NSH)D212004-07-15CANNo225 Lbs6 ft6NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm865,000$0$0$No865,000$--------865,000$--------No--------
Philippe MyersMilwaukee Admirals (NSH)D291997-01-25CANNo219 Lbs6 ft5NoNoAssign ManuallyNoNo22025-06-29FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien NHL
Remi PoirierMilwaukee Admirals (NSH)G242001-10-06CANNo201 Lbs6 ft2NoNoAssign ManuallyNoNo22025-06-29FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien NHL
Semyon VarlamovMilwaukee Admirals (NSH)G371988-04-27RUSNo201 Lbs6 ft2NoNoAssign ManuallyNoYes22025-05-26FalseFalsePro & Farm2,750,000$0$0$No2,750,000$--------2,750,000$--------No--------Lien NHL
Wyatt BongiovanniMilwaukee Admirals (NSH)LW261999-07-24USANo192 Lbs6 ft0NoNoFantasy DraftNoNo12025-07-02FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Zach DeanMilwaukee Admirals (NSH)C/LW/RW232003-01-04CANNo176 Lbs6 ft0NoNoAssign ManuallyNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Zack OstapchukMilwaukee Admirals (NSH)C222003-05-29CANNo212 Lbs6 ft4NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm825,000$0$0$No---------------------------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2326.13197 Lbs6 ft21.04671,232$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
130122
2Cameron HebigMarc McLaughlin30122
3Wyatt BongiovanniHayden Hodgson25122
415122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philippe MyersCaleb Jones30122
2Kevin KorchinskiHunter McDonald30122
325122
4Philippe MyersCaleb Jones15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
150122
2Cameron HebigMarc McLaughlin50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philippe MyersCaleb Jones50122
2Kevin KorchinskiHunter McDonald50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150122
250122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philippe MyersCaleb Jones50122
2Kevin KorchinskiHunter McDonald50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150122Philippe MyersCaleb Jones50122
250122Kevin KorchinskiHunter McDonald50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150122
250122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philippe MyersCaleb Jones50122
2Kevin KorchinskiHunter McDonald50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Philippe MyersCaleb Jones
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Philippe MyersCaleb Jones
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Wyatt Bongiovanni, Hayden Hodgson, Cameron HebigWyatt Bongiovanni, Hayden HodgsonCameron Hebig
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Kevin Korchinski, Hunter McDonaldKevin Korchinski, Hunter McDonald
Tirs de pénalité
, , , , Cameron Hebig
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , Cameron Hebig, Wyatt Bongiovanni, Marc McLaughlin, Hayden Hodgson, ,
Lignes de défense personnalisées en prolongation
Philippe Myers, Caleb Jones, Kevin Korchinski, Hunter McDonald,


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 Canucks41101001151411010000012-1310010011412250.6251525400011811283517084088992643159483211011545.45%14378.57%11337251953.08%1322251652.54%608124248.95%174312511619479876437
2Bakersfield Condors31200000910-1211000005501010000045-120.333917260011811283511284088992643902420758112.50%8187.50%11337251953.08%1322251652.54%608124248.95%174312511619479876437
3Belleville Senators11000000422110000004220000000000021.0004711001181128353384088992643239122411100.00%50100.00%01337251953.08%1322251652.54%608124248.95%174312511619479876437
4Bridgeport Islanders11000000743000000000001100000074321.0007111800118112835468408899264347104234250.00%2150.00%01337251953.08%1322251652.54%608124248.95%174312511619479876437
5Calgary Wranglers31200000911-21010000034-12110000067-120.33391827001181128351198408899264310739188412216.67%9366.67%01337251953.08%1322251652.54%608124248.95%174312511619479876437
6Charlotte Checkers1010000057-2000000000001010000057-200.00059141011811283542840889926432888192150.00%30100.00%01337251953.08%1322251652.54%608124248.95%174312511619479876437
7Chicago Wolves412000101923-421100000981201000101015-540.50019335200118112835134840889926431755081058337.50%4250.00%01337251953.08%1322251652.54%608124248.95%174312511619479876437
8Cleveland Monsters11000000651000000000001100000065121.0006101600118112835458408899264341136275240.00%3166.67%01337251953.08%1322251652.54%608124248.95%174312511619479876437
9Coachella Valley Firebirds321000001798110000008262110000097240.66717335000118112835113840889926431123522576116.67%11372.73%01337251953.08%1322251652.54%608124248.95%174312511619479876437
10Colorado Eagles42100010211292200000013492010001088060.75021365711118112835131840889926431273922989555.56%10370.00%01337251953.08%1322251652.54%608124248.95%174312511619479876437
11Grand Rapids Griffins11000000523000000000001100000052321.0005914001181128353884088992643328230100.00%20100.00%01337251953.08%1322251652.54%608124248.95%174312511619479876437
12Hartford Wolf Pack11000000321110000003210000000000021.0003690011811283538840889926432158166116.67%4175.00%01337251953.08%1322251652.54%608124248.95%174312511619479876437
13Henderson Silver Knights422000001315-22200000074320200000611-540.500132538001181128351198408899264314133229412325.00%10190.00%01337251953.08%1322251652.54%608124248.95%174312511619479876437
14Hershey Bears11000000642110000006420000000000021.000611170011811283541840889926434674233133.33%2150.00%01337251953.08%1322251652.54%608124248.95%174312511619479876437
15Iowa Wild431000002213921100000107322000000126660.7502238600011811283516684088992643155422710817635.29%12375.00%01337251953.08%1322251652.54%608124248.95%174312511619479876437
16Laval Rocket11000000431110000004310000000000021.0004711001181128354884088992643468621200.00%3166.67%01337251953.08%1322251652.54%608124248.95%174312511619479876437
17Lehigh Valley Phantoms11000000642110000006420000000000021.000611170011811283552840889926434917622200.00%30100.00%01337251953.08%1322251652.54%608124248.95%174312511619479876437
18Manitoba Moose421001002119221100000990210001001210250.6252139600011811283515784088992643119385610910660.00%15566.67%01337251953.08%1322251652.54%608124248.95%174312511619479876437
19Ontario Reign311000011315-21100000054120100001811-330.500132235001181128351268408899264314147338110550.00%140100.00%01337251953.08%1322251652.54%608124248.95%174312511619479876437
20Providence Bruins11000000642110000006420000000000021.00061117001181128353284088992643381262311100.00%3166.67%01337251953.08%1322251652.54%608124248.95%174312511619479876437
21Rochester Americans1010000035-21010000035-20000000000000.000369001181128353784088992643499231000%10100.00%01337251953.08%1322251652.54%608124248.95%174312511619479876437
22Rockford IceHogs4200010117152210000018712100010098160.7501729460011811283517184088992643152543010011327.27%14285.71%01337251953.08%1322251652.54%608124248.95%174312511619479876437
23San Diego Gulls311001001517-21100000085320100100712-530.50015294400118112835123840889926431413722777114.29%11554.55%01337251953.08%1322251652.54%608124248.95%174312511619479876437
24San Jose Barracuda32100000191362200000013671010000067-140.667193655001181128351308408899264310923127412650.00%6266.67%01337251953.08%1322251652.54%608124248.95%174312511619479876437
25Springfield Thunderbirds11000000422000000000001100000042221.00048120011811283528840889926433512432200.00%2150.00%01337251953.08%1322251652.54%608124248.95%174312511619479876437
26Syracuse Crunch1010000035-2000000000001010000035-200.000358001181128352484088992643441712282150.00%6266.67%01337251953.08%1322251652.54%608124248.95%174312511619479876437
27Texas Stars421010002113821100000118321001000105560.750214162001181128351588408899264317249229910660.00%10280.00%11337251953.08%1322251652.54%608124248.95%174312511619479876437
28Toronto Marlies1010000015-41010000015-40000000000000.00011200118112835378408899264331101022400.00%5340.00%01337251953.08%1322251652.54%608124248.95%174312511619479876437
29Tucson Roadrunners41200100141402110000053220100100911-230.37514274101118112835140840889926431254018908225.00%8537.50%01337251953.08%1322251652.54%608124248.95%174312511619479876437
30Utica Comets11000000624110000006240000000000021.0006121800118112835358408899264326126174375.00%30100.00%01337251953.08%1322251652.54%608124248.95%174312511619479876437
31Wilkes-Barre Penguins11000000321110000003210000000000021.00036900118112835358408899264361141027100.00%5180.00%01337251953.08%1322251652.54%608124248.95%174312511619479876437
Total70362302423317271463524100000115711146351213024221601600870.62131757889522118112835268084088992643264276947017461916835.60%2085374.52%31337251953.08%1322251652.54%608124248.95%174312511619479876437
_Since Last GM Reset70362302423317271463524100000115711146351213024221601600870.62131757889522118112835268084088992643264276947017461916835.60%2085374.52%31337251953.08%1322251652.54%608124248.95%174312511619479876437
_Vs Conference5424190242324521332251680000111578372981102422130135-5630.58324544869312118112835206984088992643202559836413611515536.42%1564074.36%31337251953.08%1322251652.54%608124248.95%174312511619479876437
_Vs Division25138013211208832128500001563818135301320645014360.7201202183381211811283595184088992643885274179636672841.79%712170.42%11337251953.08%1322251652.54%608124248.95%174312511619479876437

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7087W231757889526802642769470174622
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7036232423317271
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3524100001157111
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3512132422160160
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
1916835.60%2085374.52%3
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
84088992643118112835
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
1337251953.08%1322251652.54%608124248.95%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
174312511619479876437


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 - 2025-10-072San Jose Barracuda2Milwaukee Admirals5WSommaire du match
3 - 2025-10-0915Milwaukee Admirals4Ontario Reign6LSommaire du match
4 - 2025-10-1026Milwaukee Admirals2Abbotsford Canucks1WXSommaire du match
9 - 2025-10-1554Milwaukee Admirals2Calgary Wranglers5LSommaire du match
11 - 2025-10-1760Bakersfield Condors2Milwaukee Admirals4WSommaire du match
14 - 2025-10-2084Henderson Silver Knights2Milwaukee Admirals3WSommaire du match
18 - 2025-10-24108Rockford IceHogs4Milwaukee Admirals3LXXSommaire du match
19 - 2025-10-25119Milwaukee Admirals4San Diego Gulls5LXSommaire du match
22 - 2025-10-28138Tucson Roadrunners0Milwaukee Admirals3WSommaire du match
24 - 2025-10-30154Milwaukee Admirals5Iowa Wild3WSommaire du match
26 - 2025-11-01168Milwaukee Admirals7Manitoba Moose4WSommaire du match
28 - 2025-11-03179Iowa Wild2Milwaukee Admirals6WSommaire du match
30 - 2025-11-05197Milwaukee Admirals3Coachella Valley Firebirds6LSommaire du match
32 - 2025-11-07210Chicago Wolves4Milwaukee Admirals6WSommaire du match
34 - 2025-11-09226Milwaukee Admirals3Henderson Silver Knights5LSommaire du match
36 - 2025-11-11241Rochester Americans5Milwaukee Admirals3LSommaire du match
38 - 2025-11-13255Milwaukee Admirals5Colorado Eagles4WXXSommaire du match
40 - 2025-11-15271Milwaukee Admirals4Bakersfield Condors5LSommaire du match
42 - 2025-11-17282Milwaukee Admirals4Calgary Wranglers2WSommaire du match
43 - 2025-11-18288Manitoba Moose7Milwaukee Admirals3LSommaire du match
47 - 2025-11-22311Utica Comets2Milwaukee Admirals6WSommaire du match
49 - 2025-11-24328Milwaukee Admirals3Syracuse Crunch5LSommaire du match
51 - 2025-11-26342Colorado Eagles0Milwaukee Admirals4WSommaire du match
55 - 2025-11-30367Milwaukee Admirals7Bridgeport Islanders4WSommaire du match
57 - 2025-12-02377San Jose Barracuda4Milwaukee Admirals8WSommaire du match
60 - 2025-12-05398Milwaukee Admirals6Chicago Wolves5WXXSommaire du match
62 - 2025-12-07409Tucson Roadrunners3Milwaukee Admirals2LSommaire du match
64 - 2025-12-09419Milwaukee Admirals3Henderson Silver Knights6LSommaire du match
67 - 2025-12-12438Henderson Silver Knights2Milwaukee Admirals4WSommaire du match
69 - 2025-12-14456Milwaukee Admirals4Ontario Reign5LXXSommaire du match
71 - 2025-12-16470Hartford Wolf Pack2Milwaukee Admirals3WSommaire du match
76 - 2025-12-21498Rockford IceHogs3Milwaukee Admirals5WSommaire du match
81 - 2025-12-26526Manitoba Moose2Milwaukee Admirals6WSommaire du match
85 - 2025-12-30553Ontario Reign4Milwaukee Admirals5WSommaire du match
87 - 2026-01-01562Milwaukee Admirals5Abbotsford Canucks6LXXSommaire du match
89 - 2026-01-03573Milwaukee Admirals6San Jose Barracuda7LSommaire du match
91 - 2026-01-05590Milwaukee Admirals4Chicago Wolves10LSommaire du match
92 - 2026-01-06595San Diego Gulls5Milwaukee Admirals8WSommaire du match
95 - 2026-01-09613Milwaukee Admirals5Texas Stars1WSommaire du match
97 - 2026-01-11627Calgary Wranglers4Milwaukee Admirals3LSommaire du match
101 - 2026-01-15651Milwaukee Admirals7Iowa Wild3WSommaire du match
102 - 2026-01-16659Coachella Valley Firebirds2Milwaukee Admirals8WSommaire du match
107 - 2026-01-21687Bakersfield Condors3Milwaukee Admirals1LSommaire du match
109 - 2026-01-23701Milwaukee Admirals6Cleveland Monsters5WSommaire du match
111 - 2026-01-25719Hershey Bears4Milwaukee Admirals6WSommaire du match
114 - 2026-01-28735Milwaukee Admirals5Grand Rapids Griffins2WSommaire du match
116 - 2026-01-30751Providence Bruins4Milwaukee Admirals6WSommaire du match
118 - 2026-02-01767Milwaukee Admirals3Colorado Eagles4LSommaire du match
121 - 2026-02-04782Laval Rocket3Milwaukee Admirals4WSommaire du match
123 - 2026-02-06798Milwaukee Admirals4Springfield Thunderbirds2WSommaire du match
126 - 2026-02-09814Wilkes-Barre Penguins2Milwaukee Admirals3WSommaire du match
128 - 2026-02-11825Milwaukee Admirals4Rockford IceHogs5LXSommaire du match
130 - 2026-02-13845Toronto Marlies5Milwaukee Admirals1LSommaire du match
135 - 2026-02-18872Milwaukee Admirals7Abbotsford Canucks5WSommaire du match
136 - 2026-02-19880Iowa Wild5Milwaukee Admirals4LSommaire du match
140 - 2026-02-23905Chicago Wolves4Milwaukee Admirals3LSommaire du match
144 - 2026-02-27927Milwaukee Admirals3Tucson Roadrunners4LXSommaire du match
145 - 2026-02-28938Colorado Eagles4Milwaukee Admirals9WSommaire du match
149 - 2026-03-04964Milwaukee Admirals5Texas Stars4WXSommaire du match
150 - 2026-03-05971Lehigh Valley Phantoms4Milwaukee Admirals6WSommaire du match
153 - 2026-03-08989Milwaukee Admirals6Tucson Roadrunners7LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-03-10997Milwaukee Admirals5Manitoba Moose6LXSommaire du match
156 - 2026-03-111008Belleville Senators2Milwaukee Admirals4WSommaire du match
159 - 2026-03-141026Milwaukee Admirals6Coachella Valley Firebirds1WSommaire du match
161 - 2026-03-161036Texas Stars7Milwaukee Admirals6LSommaire du match
162 - 2026-03-171041Milwaukee Admirals3San Diego Gulls7LSommaire du match
166 - 2026-03-211068Abbotsford Canucks2Milwaukee Admirals1LSommaire du match
169 - 2026-03-241083Milwaukee Admirals5Charlotte Checkers7LSommaire du match
173 - 2026-03-281103Texas Stars1Milwaukee Admirals5WSommaire du match
176 - 2026-03-311119Milwaukee Admirals5Rockford IceHogs3WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité60003000
Prix des billets5025
Assistance200,647101,219
Assistance PCT95.55%96.40%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 8625 - 95.83% 430,725$15,075,390$9000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,508,075$ 1,543,833$ 1,543,833$ 1$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,508,075$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 8,722$ 0$




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