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Milwaukee Admirals
GP: 17 | W: 10 | L: 5 | OTL: 2 | P: 22
GF: 68 | GA: 60 | PP%: 23.26% | PK%: 74.07%
DG: Louis Robitaille | Morale : 50 | Moyenne d’équipe : 61
Prochains matchs #271 vs Bakersfield Condors

Centre de jeu
Rochester Americans
7-9-1, 15pts
5
FINAL
3 Milwaukee Admirals
10-5-2, 22pts
Team Stats
L1SéquenceW1
3-4-1Fiche domicile6-1-1
4-5-0Fiche domicile4-4-1
4-5-1Derniers 10 matchs6-3-1
4.94Buts par match 4.00
5.47Buts contre par match 3.53
35.29%Pourcentage en avantage numérique23.26%
74.29%Pourcentage en désavantage numérique74.07%
Milwaukee Admirals
10-5-2, 22pts
5
FINAL
4 Colorado Eagles
10-7-1, 21pts
Team Stats
W1SéquenceSOL1
6-1-1Fiche domicile4-3-1
4-4-1Fiche domicile6-4-0
6-3-1Derniers 10 matchs6-3-1
4.00Buts par match 3.56
3.53Buts contre par match 3.61
23.26%Pourcentage en avantage numérique24.39%
74.07%Pourcentage en désavantage numérique70.97%
Milwaukee Admirals
10-5-2, 22pts
Jour 40
Bakersfield Condors
7-8-1, 15pts
Statistiques d’équipe
W1SéquenceW3
6-1-1Fiche domicile2-5-1
4-4-1Fiche visiteur5-3-0
6-3-110 derniers matchs4-5-1
4.00Buts par match 4.25
3.53Buts contre par match 4.25
23.26%Pourcentage en avantage numérique24.49%
74.07%Pourcentage en désavantage numérique82.50%
Milwaukee Admirals
10-5-2, 22pts
Jour 42
Calgary Wranglers
13-3-1, 27pts
Statistiques d’équipe
W1SéquenceW1
6-1-1Fiche domicile7-1-0
4-4-1Fiche visiteur6-2-1
6-3-110 derniers matchs7-3-0
4.00Buts par match 5.35
3.53Buts contre par match 5.35
23.26%Pourcentage en avantage numérique38.10%
74.07%Pourcentage en désavantage numérique76.36%
Manitoba Moose
5-8-2, 12pts
Jour 43
Milwaukee Admirals
10-5-2, 22pts
Statistiques d’équipe
L2SéquenceW1
3-3-2Fiche domicile6-1-1
2-5-0Fiche visiteur4-4-1
2-6-210 derniers matchs6-3-1
3.53Buts par match 4.00
4.00Buts contre par match 4.00
23.53%Pourcentage en avantage numérique23.26%
80.95%Pourcentage en désavantage numérique74.07%
Meneurs d'équipe
Cameron HebigButs
Cameron Hebig
11
Passes
Noah Warren
13
Wyatt BongiovanniPoints
Wyatt Bongiovanni
19
Philippe MyersPlus/Moins
Philippe Myers
9
Semyon VarlamovVictoires
Semyon Varlamov
9
Semyon VarlamovPourcentage d’arrêts
Semyon Varlamov
0.908

Statistiques d’équipe
Buts pour
68
4.00 GFG
Tirs pour
604
35.53 Avg
Pourcentage en avantage numérique
23.3%
10 GF
Début de zone offensive
39.0%
Buts contre
60
3.53 GAA
Tirs contre
624
36.71 Avg
Pourcentage en désavantage numérique
74.1%%
14 GA
Début de la zone défensive
42.6%
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
Assistance8,641
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
1Cameron HebigX99.00584368666169686561616060645750050620282775,000$
2Jeffrey VielX99.00626450656569686444625863625750050620281775,000$
3Wyatt BongiovanniX100.00594269656365646355556157635350050600261775,000$
4Marc McLaughlinXXX99.00624270626566646049585358585350050590261775,000$
5Hayden HodgsonX100.00616350606569685842535257575950050580292775,000$
6Philippe Myers (A)X99.00704772708079736840626171666961050690282850,000$
7Caleb JonesX99.00644275686974726540635669637556050660282900,000$
8Kevin Korchinski (A)X99.00604473686970656840655962655550050640211918,333$
9Hunter McDonaldX99.00665261656864626040575467595150050620231950,000$
10Noah WarrenX100.00644264586958575840545359565050050590212865,000$
Rayé
1Emil HeinemanX100.007441807276746968416465646855500506602321,100,000$
2Zack OstapchukX100.00765867698072706566616166655550050650221825,000$
3Alex Belzile (C)X100.00575758666473716648666164646861050640341775,000$
4Chad HillebrandXXX100.005942635862626156405454565652500505702600$
5Zach DeanXXX100.005841706562605856415253565850500505702200$
6Eemil ViroX100.005742696563636159405152585951500505902300$
7Andrew LucasX100.005440696656636055405251615753500505802600$
8Charlie WrightX100.005940676262595756405453605750500505802200$
MOYENNE D’ÉQUIPE99.6162476665676765624558576261565205061
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 Poirier97.0071626667697073707168585150050630242775,000$
Rayé
1Semyon Varlamov98.00718180797778787878767492850507203722,750,000$
2Adam Scheel100.00726261656768716869675554500506202600$
3Carter Gylander100.0063575764626161596261565150050560241855,000$
4Isaiah Saville100.00595352595756585457565051500505202500$
MOYENNE D’ÉQUIPE99.006763636766676866676659605705061
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
1Wyatt BongiovanniMilwaukee Admirals (NSH)LW1781119820204078203410.26%627216.0210122000040170.83%2400001.4000000121
2Philippe MyersMilwaukee Admirals (NSH)D1761218960493040102515.00%2340423.823141333000043110%200000.8901000122
3Cameron HebigMilwaukee Admirals (NSH)C17115161100172951222321.57%831218.372246330000131154.04%43300001.0201000122
4Noah WarrenMilwaukee Admirals (NSH)D1731316818047242181914.29%2028216.6001113000010100%000001.1300000211
5Kevin KorchinskiMilwaukee Admirals (NSH)D1711314-3802210218204.76%1935020.601121035000040000%000000.8011000020
6Caleb JonesMilwaukee Admirals (NSH)D17210128802620396195.13%2339723.370221633011038000%000000.6001000011
7Jeffrey VielMilwaukee Admirals (NSH)LW174812117540224813458.33%433219.530229330001330048.28%2900000.7201010101
8Emil HeinemanMilwaukee Admirals (NSH)LW127411580172854163312.96%427522.942137281012292043.48%13800010.8001000201
9Hayden HodgsonMilwaukee Admirals (NSH)RW175510860482545112611.11%326315.5200001000001155.00%2000000.7600000200
10Hunter McDonaldMilwaukee Admirals (NSH)D17189-41405914225194.55%3134620.41022835000037000%000000.5200000100
11Zack OstapchukMilwaukee Admirals (NSH)C123584603733359308.57%427422.861233280000291066.32%28500000.5801000011
12Alex BelzileMilwaukee Admirals (NSH)RW1225752010183610215.56%327222.710116280000291045.00%8000000.5101000000
13Marc McLaughlinMilwaukee Admirals (NSH)C/LW/RW171671801013308103.33%229617.46000833000010026.67%3000000.4700000000
Statistiques d’équipe totales ou en moyenne2065410515951113540230652014632410.38%150408119.811015258933011233118454.66%104100010.7818010111110
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)21100.8894.32125009810001.0005217000
Statistiques d’équipe totales ou en moyenne1710520.9053.421035015962401081717300


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$608,616$0$0$No---------------------------Lien NHL
Andrew LucasMilwaukee Admirals (NSH)D261999-02-05USANo161 Lbs6 ft1NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Caleb JonesMilwaukee Admirals (NSH)D281997-06-06USANo194 Lbs6 ft1NoNoFantasy DraftNoNo22025-07-02FalseFalsePro & Farm900,000$706,780$0$0$No900,000$--------900,000$--------No--------Lien NHL
Cameron HebigMilwaukee Admirals (NSH)C281997-01-21CANNo185 Lbs6 ft0NoNoFantasy DraftNoNo22025-07-22FalseFalsePro & Farm775,000$608,616$0$0$No775,000$--------775,000$--------No--------Lien NHL
Carter GylanderMilwaukee Admirals (NSH)G242001-06-05CANNo190 Lbs6 ft5NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm855,000$671,441$0$0$No---------------------------
Chad HillebrandMilwaukee Admirals (NSH)C/LW/RW261999-01-22USANo194 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)D232002-04-03FINNo187 Lbs6 ft1NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Emil HeinemanMilwaukee Admirals (NSH)LW232001-11-16SWENo198 Lbs6 ft2NoNoAssign ManuallyNoNo22025-07-02FalseFalsePro & Farm1,100,000$863,842$0$0$No1,100,000$--------1,100,000$--------No--------Lien NHL
Hayden HodgsonMilwaukee Admirals (NSH)RW291996-03-02CANNo205 Lbs6 ft2NoNoFantasy DraftNoNo22025-07-03FalseFalsePro & Farm775,000$608,616$0$0$No775,000$--------775,000$--------No--------Lien NHL
Hunter McDonaldMilwaukee Admirals (NSH)D232002-05-11USANo205 Lbs6 ft4NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm950,000$746,045$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)LW281997-01-28CANNo205 Lbs6 ft2NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm775,000$608,616$0$0$No---------------------------Lien NHL
Kevin KorchinskiMilwaukee Admirals (NSH)D212004-06-21CANNo192 Lbs6 ft3NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm918,333$721,177$0$0$No---------------------------Lien NHL
Marc McLaughlinMilwaukee Admirals (NSH)C/LW/RW261999-07-26USANo205 Lbs6 ft0NoNoFantasy DraftNoNo12025-07-02FalseFalsePro & Farm775,000$608,616$0$0$No---------------------------Lien NHL
Noah WarrenMilwaukee Admirals (NSH)D212004-07-15CANNo225 Lbs6 ft6NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm865,000$679,294$0$0$No865,000$--------865,000$--------No--------
Philippe MyersMilwaukee Admirals (NSH)D281997-01-25CANNo219 Lbs6 ft5NoNoAssign ManuallyNoNo22025-06-29FalseFalsePro & Farm850,000$667,514$0$0$No850,000$--------850,000$--------No--------Lien NHL
Remi PoirierMilwaukee Admirals (NSH)G242001-10-06CANNo201 Lbs6 ft2NoNoAssign ManuallyNoNo22025-06-29FalseFalsePro & Farm775,000$608,616$0$0$No775,000$--------775,000$--------No--------Lien NHL
Semyon VarlamovMilwaukee Admirals (NSH)G371988-04-27RUSNo201 Lbs6 ft2NoNoAssign ManuallyNoYes22025-05-26FalseFalsePro & Farm2,750,000$2,159,605$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$608,616$0$0$No---------------------------Lien NHL
Zach DeanMilwaukee Admirals (NSH)C/LW/RW222003-01-04CANNo176 Lbs6 ft0NoNoAssign ManuallyNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Zack OstapchukMilwaukee Admirals (NSH)C222003-05-29CANNo212 Lbs6 ft4NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm825,000$647,881$0$0$No---------------------------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2325.74197 Lbs6 ft21.04671,232$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
130122
2Jeffrey VielCameron HebigMarc McLaughlin30122
3Wyatt BongiovanniHayden Hodgson25122
415122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philippe MyersCaleb Jones30122
2Kevin KorchinskiHunter McDonald30122
3Noah Warren25122
4Philippe MyersCaleb Jones15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
150122
2Jeffrey VielCameron 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
2Jeffrey Viel50122
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
2Jeffrey Viel50122
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
Noah Warren, Kevin Korchinski, Hunter McDonaldNoah WarrenKevin Korchinski, Hunter McDonald
Tirs de pénalité
, , , Jeffrey Viel, Cameron Hebig
Gardien
#1 : , #2 : Remi Poirier
Lignes d’attaque personnalisées en prolongation
, , , Jeffrey Viel, Cameron Hebig, Wyatt Bongiovanni, Marc McLaughlin, Hayden Hodgson, ,
Lignes de défense personnalisées en prolongation
Philippe Myers, Caleb Jones, Kevin Korchinski, Hunter McDonald, Noah Warren


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 Canucks10001000211000000000001000100021121.0002240023271623820816622612338831200.00%4175.00%131859853.18%33765451.53%14628251.77%414292398122222110
2Bakersfield Condors11000000422110000004220000000000021.00047110023271623520816622612246819300.00%4175.00%031859853.18%33765451.53%14628251.77%414292398122222110
3Calgary Wranglers1010000025-3000000000001010000025-300.00024600232716240208166226123613627300.00%3166.67%031859853.18%33765451.53%14628251.77%414292398122222110
4Chicago Wolves11000000642110000006420000000000021.0006121800232716232208166226123415225100.00%10100.00%031859853.18%33765451.53%14628251.77%414292398122222110
5Coachella Valley Firebirds1010000036-3000000000001010000036-300.000369002327162332081662261241121212200.00%6266.67%031859853.18%33765451.53%14628251.77%414292398122222110
6Colorado Eagles10000010541000000000001000001054121.000561100232716233208166226123264242150.00%2150.00%031859853.18%33765451.53%14628251.77%414292398122222110
7Henderson Silver Knights2110000067-1110000003211010000035-220.500612180023271625820816622612821212527342.86%5180.00%031859853.18%33765451.53%14628251.77%414292398122222110
8Iowa Wild220000001156110000006241100000053241.00011182900232716271208166226126716124410440.00%6350.00%031859853.18%33765451.53%14628251.77%414292398122222110
9Manitoba Moose11000000743000000000001100000074321.00071320002327162452081662261230715292150.00%4175.00%031859853.18%33765451.53%14628251.77%414292398122222110
10Ontario Reign1010000046-2000000000001010000046-200.0004711002327162432081662261253211239400.00%60100.00%031859853.18%33765451.53%14628251.77%414292398122222110
11Rochester Americans1010000035-21010000035-20000000000000.0003690023271623720816622612499231000%10100.00%031859853.18%33765451.53%14628251.77%414292398122222110
12Rockford IceHogs1000000134-11000000134-10000000000010.500358002327162452081662261231121020300.00%5180.00%031859853.18%33765451.53%14628251.77%414292398122222110
13San Diego Gulls1000010045-1000000000001000010045-110.500481200232716235208166226124815630200.00%3166.67%031859853.18%33765451.53%14628251.77%414292398122222110
14San Jose Barracuda11000000523110000005230000000000021.000510150023271622720816622612378426100.00%2150.00%031859853.18%33765451.53%14628251.77%414292398122222110
15Tucson Roadrunners11000000303110000003030000000000021.000369012327162322081662261227862411100.00%20100.00%031859853.18%33765451.53%14628251.77%414292398122222110
Total1785011116860886100001332112924011103539-4220.6476812219001232716260420816622612624168119433431023.26%541474.07%131859853.18%33765451.53%14628251.77%414292398122222110
_Since Last GM Reset1785011116860886100001332112924011103539-4220.6476812219001232716260420816622612624168119433431023.26%541474.07%131859853.18%33765451.53%14628251.77%414292398122222110
_Vs Conference16840111165551076000001301614924011103539-4220.6886511618101232716256720816622612575159117402431023.26%531473.58%131859853.18%33765451.53%14628251.77%414292398122222110
_Vs Division650000112917123300000112663200001017116131.08329487701232716222620816622612187494714118738.89%19668.42%031859853.18%33765451.53%14628251.77%414292398122222110

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1722W16812219060462416811943301
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
178511116860
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
86100013321
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
92411103539
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
431023.26%541474.07%1
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
208166226122327162
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
31859853.18%33765451.53%14628251.77%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
414292398122222110


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
12San Jose Barracuda2Milwaukee Admirals5WSommaire du match
315Milwaukee Admirals4Ontario Reign6LSommaire du match
426Milwaukee Admirals2Abbotsford Canucks1WXSommaire du match
954Milwaukee Admirals2Calgary Wranglers5LSommaire du match
1160Bakersfield Condors2Milwaukee Admirals4WSommaire du match
1484Henderson Silver Knights2Milwaukee Admirals3WSommaire du match
18108Rockford IceHogs4Milwaukee Admirals3LXXSommaire du match
19119Milwaukee Admirals4San Diego Gulls5LXSommaire du match
22138Tucson Roadrunners0Milwaukee Admirals3WSommaire du match
24154Milwaukee Admirals5Iowa Wild3WSommaire du match
26168Milwaukee Admirals7Manitoba Moose4WSommaire du match
28179Iowa Wild2Milwaukee Admirals6WSommaire du match
30197Milwaukee Admirals3Coachella Valley Firebirds6LSommaire du match
32210Chicago Wolves4Milwaukee Admirals6WSommaire du match
34226Milwaukee Admirals3Henderson Silver Knights5LSommaire du match
36241Rochester Americans5Milwaukee Admirals3LSommaire du match
38255Milwaukee Admirals5Colorado Eagles4WXXSommaire du match
40271Milwaukee Admirals-Bakersfield Condors-
42282Milwaukee Admirals-Calgary Wranglers-
43288Manitoba Moose-Milwaukee Admirals-
47311Utica Comets-Milwaukee Admirals-
49328Milwaukee Admirals-Syracuse Crunch-
51342Colorado Eagles-Milwaukee Admirals-
55367Milwaukee Admirals-Bridgeport Islanders-
57377San Jose Barracuda-Milwaukee Admirals-
60398Milwaukee Admirals-Chicago Wolves-
62409Tucson Roadrunners-Milwaukee Admirals-
64419Milwaukee Admirals-Henderson Silver Knights-
67438Henderson Silver Knights-Milwaukee Admirals-
69456Milwaukee Admirals-Ontario Reign-
71470Hartford Wolf Pack-Milwaukee Admirals-
76498Rockford IceHogs-Milwaukee Admirals-
81526Manitoba Moose-Milwaukee Admirals-
85553Ontario Reign-Milwaukee Admirals-
87562Milwaukee Admirals-Abbotsford Canucks-
89573Milwaukee Admirals-San Jose Barracuda-
91590Milwaukee Admirals-Chicago Wolves-
92595San Diego Gulls-Milwaukee Admirals-
95613Milwaukee Admirals-Texas Stars-
97627Calgary Wranglers-Milwaukee Admirals-
101651Milwaukee Admirals-Iowa Wild-
102659Coachella Valley Firebirds-Milwaukee Admirals-
107687Bakersfield Condors-Milwaukee Admirals-
109701Milwaukee Admirals-Cleveland Monsters-
111719Hershey Bears-Milwaukee Admirals-
114735Milwaukee Admirals-Grand Rapids Griffins-
116751Providence Bruins-Milwaukee Admirals-
118767Milwaukee Admirals-Colorado Eagles-
121782Laval Rocket-Milwaukee Admirals-
123798Milwaukee Admirals-Springfield Thunderbirds-
126814Wilkes-Barre Penguins-Milwaukee Admirals-
128825Milwaukee Admirals-Rockford IceHogs-
130845Toronto Marlies-Milwaukee Admirals-
135872Milwaukee Admirals-Abbotsford Canucks-
136880Iowa Wild-Milwaukee Admirals-
140905Chicago Wolves-Milwaukee Admirals-
144927Milwaukee Admirals-Tucson Roadrunners-
145938Colorado Eagles-Milwaukee Admirals-
149964Milwaukee Admirals-Texas Stars-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150971Lehigh Valley Phantoms-Milwaukee Admirals-
153989Milwaukee Admirals-Tucson Roadrunners-
155997Milwaukee Admirals-Manitoba Moose-
1561008Belleville Senators-Milwaukee Admirals-
1591026Milwaukee Admirals-Coachella Valley Firebirds-
1611036Texas Stars-Milwaukee Admirals-
1621041Milwaukee Admirals-San Diego Gulls-
1661068Abbotsford Canucks-Milwaukee Admirals-
1691083Milwaukee Admirals-Charlotte Checkers-
1731103Texas Stars-Milwaukee Admirals-
1761119Milwaukee Admirals-Rockford IceHogs-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité60003000
Prix des billets5025
Assistance46,16722,961
Assistance PCT96.18%95.67%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
27 8641 - 96.01% 432,356$3,458,850$9000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
331,436$ 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$ 331,436$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
11,673,619$ 139 8,722$ 1,212,358$




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