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Milwaukee Admirals
GP: 72 | W: 44 | L: 25 | OTL: 3 | P: 91
GF: 190 | GA: 168 | PP%: 28.13% | PK%: 64.43%
DG: Jimmi Bornström | Morale : 74 | Moyenne d’équipe : 60
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Centre de jeu
Ontario Reign
37-23-12, 86pts
3
FINAL
4 Milwaukee Admirals
44-25-3, 91pts
Team Stats
OTL1SéquenceW2
22-10-4Fiche domicile21-14-1
15-13-8Fiche domicile23-11-2
5-3-2Derniers 10 matchs8-2-0
2.83Buts par match 2.64
2.54Buts contre par match 2.33
33.33%Pourcentage en avantage numérique28.13%
70.54%Pourcentage en désavantage numérique64.43%
Milwaukee Admirals
44-25-3, 91pts
5
FINAL
4 Manitoba Moose
37-25-10, 84pts
Team Stats
W2SéquenceSOL1
21-14-1Fiche domicile25-7-4
23-11-2Fiche domicile12-18-6
8-2-0Derniers 10 matchs4-4-2
2.64Buts par match 2.65
2.33Buts contre par match 2.57
28.13%Pourcentage en avantage numérique27.16%
64.43%Pourcentage en désavantage numérique64.85%
Meneurs d'équipe
Cody GlassButs
Cody Glass
32
Cody GlassPasses
Cody Glass
37
Cody GlassPoints
Cody Glass
69
Anthony RichardPlus/Moins
Anthony Richard
16
Alex LyonVictoires
Alex Lyon
44
Devin CooleyPourcentage d’arrêts
Devin Cooley
0.939

Statistiques d’équipe
Buts pour
190
2.64 GFG
Tirs pour
2178
30.25 Avg
Pourcentage en avantage numérique
28.1%
45 GF
Début de zone offensive
37.4%
Buts contre
168
2.33 GAA
Tirs contre
2059
28.60 Avg
Pourcentage en désavantage numérique
64.4%%
69 GA
Début de la zone défensive
36.4%
Informations de l'équipe

Directeur généralJimmi Bornström
EntraîneurAndrew Brunette
DivisionCentral Division
ConférenceWestern Conference
CapitaineMark Borowiecki
Assistant #1Ben Harpur
Assistant #2Rem Pitlick


Informations de l’aréna

Capacité3,000
Assistance2,537
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure19
Limite contact 43 / 60
Espoirs21


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
1Cody Glass0XX100.007143918674689080877776657563646991710241874,125$
2Michael McCarron0XX100.009089737091577461696258772567636085660281750,000$
3Rem Pitlick (A)0XX100.0066428675706482664068656880616163876402621,100,000$
4Mathieu Olivier0X100.00939955658261785829646073256061618664X0261750,000$
5Anthony Richard0XX100.008544876366568968336577602559596691620271750,000$
6Matt Luff0X100.007744996873556755246061652560606085610261750,000$
7Simon Ryfors0XX100.007265866365838864806165616247476384610261760,000$
8Egor Afanasyev (R)0XXX100.007944967378579060255057642548485889600222789,167$
9Jachym Kondelik (R)0X100.008584826887565849644650644847475386590242855,000$
10James Hamblin0XX100.007062917064757959755659595547475886580242807,500$
11Hudson Elynuik0X100.007275636776585951685148574847475283560261750,000$
12Brayden Burke0XX100.006860876361494659765856575547475688540261750,000$
13Ben Harpur (A)0X100.00807778658664615725524672256768548464X0281750,000$
14Mark Borowiecki (C)0X100.00887825747850535357474679377273488663X0341900,000$
15Marc Del Gaizo (R)0X100.007168796671788551254939603847475085580241925,000$
16David Farrance (R)0X100.007267878270504955255342623947475183580241750,000$
17Adam Wilsby (R)0X100.007367856970727847254138593747474888570232842,500$
18Jakub Galvas0X100.006861896764748052254840583947475084560241870,000$
Rayé
1Gabriel Carlsson0X100.007775807875646949254139653758585420590261750,000$
2Jeremy Davies0X100.006566626866737953253951574846465620550271750,000$
3Frederic Allard0X100.006966766166606447253641593951515020530261750,000$
MOYENNE D’ÉQUIPE100.00766679707363725744545364425454567760
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
1Alex Lyon0100.00695453757763717079697550506488670311937,500$
2Devin Cooley (R)0100.00564759836158536057563044445690580261787,500$
Rayé
1Logan Flodell0100.00565959666057595559545544445120560261750,000$
MOYENNE D’ÉQUIPE100.0060535775665961626560534646576660
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Andrew Brunette40505070999050CAN511500,000$


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
1Cody GlassMilwaukee Admirals (NSH)C/RW7232376911593583882837615011.31%25124617.3110142422117000036459.33%12547924101.118101246108
2Anthony RichardMilwaukee Admirals (NSH)C/LW7225325716200127822088711612.02%27123017.09710171210820281267037.17%2696115100.93311000483
3Rem PitlickMilwaukee Admirals (NSH)C/LW721734511133159394207611158.21%38122417.01612181510302251221239.53%8555827000.8323021424
4Mathieu OlivierMilwaukee Admirals (NSH)RW72192746965233013574170499111.18%24113715.807101718991234842135.71%844826000.8116271623124
5Michael McCarronMilwaukee Admirals (NSH)C/RW721621371333021014681144509711.11%39123617.177815161090000243147.13%873527200.6000101715244
6Matt LuffMilwaukee Admirals (NSH)RW7214183210202091108132467810.61%34136418.954610611111291343130.07%2762927000.4701013323
7Simon RyforsMilwaukee Admirals (NSH)C/LW721114258117758668147301017.48%14102814.2800001000004051.92%523215000.4901177123
8Egor AfanasyevMilwaukee Admirals (NSH)C/LW/RW72101525122020804715154836.62%1688912.3600006000003116.67%363517000.5600220134
9Ben HarpurMilwaukee Admirals (NSH)D721222314371295881159630421.04%87171323.8005531060001126010%01748000.2700201623100
10Mark BorowieckiMilwaukee Admirals (NSH)D7231922165132952271018937383.37%95161722.460224104000181110%02455000.2700181130113
11James HamblinMilwaukee Admirals (NSH)C/LW7214721136307469165561008.48%1698113.630000240002603358.93%564914000.4301123230
12David FarranceMilwaukee Admirals (NSH)D7231619121178564975025266.00%72152321.1636941160111143000%02053000.25012510002
13Brayden BurkeMilwaukee Admirals (NSH)LW/RW725121726840865011547784.35%1086612.03000021000011162.50%243216000.3901422112
14Jachym KondelikMilwaukee Admirals (NSH)C72791610117851116335133120.00%2385311.8500000000000047.69%497419000.3801449220
15Marc Del GaizoMilwaukee Admirals (NSH)D7218911806080676125161.64%68139119.3212351120000129000%0525000.1300444000
16Hudson ElynuikMilwaukee Admirals (NSH)C7226809690102684122304.88%1579911.1000000000000050.60%3361113000.2001477001
17Adam WilsbyMilwaukee Admirals (NSH)D72077101007069664214200%47125817.48000025000064000%0532000.1100446000
18Jakub GalvasMilwaukee Admirals (NSH)D7206611392549674219230%46114415.890000600009000%0726000.1011032000
Statistiques d’équipe totales ou en moyenne12961803104901772788178017911405217874112358.26%6962150716.60457512010511754610311112341647.67%3826551479400.461538102105149294041
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
1Alex LyonMilwaukee Admirals (NSH)72442530.9192.2942930216420251174110.881427201265
2Devin CooleyMilwaukee Admirals (NSH)30000.9391.458300233230000072000
Statistiques d’équipe totales ou en moyenne75442530.9192.2843770216620581197114272721265


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adam WilsbyMilwaukee Admirals (NSH)D232000-12-31Yes183 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm842,500$0$0$No842,500$--------No--------
Alex LyonMilwaukee Admirals (NSH)G311992-12-31No201 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm937,500$0$0$No------------------Lien / Lien NHL
Anthony RichardMilwaukee Admirals (NSH)C/LW271996-12-31No186 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Ben HarpurMilwaukee Admirals (NSH)D281995-12-31No222 Lbs6 ft6NoYesN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Brayden BurkeMilwaukee Admirals (NSH)LW/RW261997-12-31No165 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Cody GlassMilwaukee Admirals (NSH)C/RW241999-12-31No192 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm874,125$0$0$No------------------Lien / Lien NHL
David FarranceMilwaukee Admirals (NSH)D241999-12-31Yes189 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Devin CooleyMilwaukee Admirals (NSH)G261997-12-31Yes190 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm787,500$0$0$No------------------Lien / Lien NHL
Egor AfanasyevMilwaukee Admirals (NSH)C/LW/RW222001-12-31Yes204 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm789,167$0$0$No789,167$--------No--------Lien / Lien NHL
Frederic AllardMilwaukee Admirals (NSH)D261997-12-31No179 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Gabriel CarlssonMilwaukee Admirals (NSH)D261997-12-31No192 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Hudson ElynuikMilwaukee Admirals (NSH)C261997-12-31No194 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Jachym KondelikMilwaukee Admirals (NSH)C241999-12-31Yes218 Lbs6 ft7NoNoN/ANoNo2FalseFalsePro & Farm855,000$0$0$No855,000$--------No--------
Jakub GalvasMilwaukee Admirals (NSH)D241999-12-31No165 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm870,000$0$0$No------------------Lien / Lien NHL
James HamblinMilwaukee Admirals (NSH)C/LW241999-12-31No175 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm807,500$0$0$No807,500$--------No--------Lien / Lien NHL
Jeremy DaviesMilwaukee Admirals (NSH)D271996-12-31No181 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Logan FlodellMilwaukee Admirals (NSH)G261997-12-31 19:07:37No181 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------
Marc Del GaizoMilwaukee Admirals (NSH)D241999-12-31Yes190 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No------------------
Mark BorowieckiMilwaukee Admirals (NSH)D341989-12-31No204 Lbs6 ft2NoYesN/ANoNo1FalseFalsePro & Farm900,000$0$0$No------------------Lien / Lien NHL
Mathieu OlivierMilwaukee Admirals (NSH)RW261997-12-31No210 Lbs6 ft2NoYesN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Matt LuffMilwaukee Admirals (NSH)RW261997-12-31No196 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Michael McCarronMilwaukee Admirals (NSH)C/RW281995-12-31No237 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Rem PitlickMilwaukee Admirals (NSH)C/LW261997-12-31No196 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------No--------Lien / Lien NHL
Simon RyforsMilwaukee Admirals (NSH)C/LW261997-12-31No181 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm760,000$0$0$No------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2426.00193 Lbs6 ft11.21810,346$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael McCarronCody GlassMathieu Olivier30122
2Simon RyforsRem PitlickMatt Luff27122
3Anthony RichardJachym KondelikEgor Afanasyev23122
4James HamblinHudson ElynuikBrayden Burke20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben HarpurMark Borowiecki30122
2Marc Del GaizoDavid Farrance27122
3Adam WilsbyJakub Galvas23122
4Ben HarpurMark Borowiecki20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael McCarronCody GlassMathieu Olivier50122
2Rem PitlickAnthony RichardMatt Luff50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben HarpurMark Borowiecki50122
2Marc Del GaizoDavid Farrance50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Matt LuffMathieu Olivier50122
2Anthony RichardRem Pitlick50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben HarpurMark Borowiecki50122
2Marc Del GaizoDavid Farrance50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Rem Pitlick50122Ben HarpurMark Borowiecki50122
2Anthony Richard50122Marc Del GaizoDavid Farrance50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mathieu OlivierMatt Luff50122
2Anthony RichardRem Pitlick50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben HarpurMark Borowiecki50122
2Marc Del GaizoDavid Farrance50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael McCarronCody GlassMathieu OlivierBen HarpurMark Borowiecki
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael McCarronCody GlassMathieu OlivierBen HarpurMark Borowiecki
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matt Luff, Anthony Richard, Simon RyforsMatt Luff, Anthony RichardMatt Luff
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
David Farrance, Adam Wilsby, Jakub GalvasDavid FarranceDavid Farrance, Adam Wilsby
Tirs de pénalité
Anthony Richard, Cody Glass, Mathieu Olivier, Rem Pitlick, Matt Luff
Gardien
#1 : Alex Lyon, #2 : Devin Cooley


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 Canucks22000000642110000003211100000032141.0006101600397562196263678773954671763386350.00%4250.00%0703141649.65%621137645.13%50099150.45%150679614127131464711
2Bakersfield Condors21001000633110000003121000100032141.0006111700397562195863678773954642067584250.00%6266.67%0703141649.65%621137645.13%50099150.45%150679614127131464711
3Belleville Senators21100000761110000004131010000035-220.50071320003975621966636787739546528121528562.50%8450.00%0703141649.65%621137645.13%50099150.45%150679614127131464711
4Bridgeport Islanders22000000624110000004131100000021141.000612180039756219496367877395457197159300.00%3166.67%0703141649.65%621137645.13%50099150.45%150679614127131464711
5Calgary Wranglers20000110440100000102111000010023-130.75045900397562196163678773954671965347114.29%5180.00%0703141649.65%621137645.13%50099150.45%150679614127131464711
6Charlotte Checkers22000000624110000003121100000031241.00061218003975621960636787739545521423422100.00%60100.00%0703141649.65%621137645.13%50099150.45%150679614127131464711
7Chicago Wolves3120000059-42020000027-51100000032120.3335914003975621998636787739548130160767114.29%10640.00%0703141649.65%621137645.13%50099150.45%150679614127131464711
8Cleveland Monsters21000010853110000003121000001054141.0008122000397562197563678773954531955444125.00%5260.00%0703141649.65%621137645.13%50099150.45%150679614127131464711
9Coachella Valley Firebirds31101000770100010003212110000045-140.66771219013975621984636787739546918134731119.09%7357.14%0703141649.65%621137645.13%50099150.45%150679614127131464711
10Colorado Eagles211000004311010000012-11100000031220.50046100039756219696367877395453154167200.00%3233.33%0703141649.65%621137645.13%50099150.45%150679614127131464711
11Grand Rapids Griffins320010001046110000004132100100063361.000101727003975621991636787739544619778711327.27%6266.67%0703141649.65%621137645.13%50099150.45%150679614127131464711
12Hartford Wolf Pack200001106601000010034-11000001032130.75069150039756219636367877395450215046400.00%5420.00%1703141649.65%621137645.13%50099150.45%150679614127131464711
13Henderson Silver Knights2020000058-31010000034-11010000024-200.000581300397562196263678773954723542374125.00%6350.00%0703141649.65%621137645.13%50099150.45%150679614127131464711
14Hershey Bears2020000047-31010000034-11010000013-200.000461000397562195963678773954712964384250.00%20100.00%0703141649.65%621137645.13%50099150.45%150679614127131464711
15Iowa Wild31100010651210000105231010000013-240.667691500397562199063678773954982816267600.00%16287.50%0703141649.65%621137645.13%50099150.45%150679614127131464711
16Laval Rocket2020000027-51010000014-31010000013-200.0002350039756219596367877395454106237100.00%6183.33%0703141649.65%621137645.13%50099150.45%150679614127131464711
17Lehigh Valley Phantoms22000000927110000006151100000031241.000915240039756219546367877395464161044122100.00%70100.00%1703141649.65%621137645.13%50099150.45%150679614127131464711
18Manitoba Moose310000201174210000106331000001054161.00011152600397562199063678773954883273704125.00%4175.00%0703141649.65%621137645.13%50099150.45%150679614127131464711
19Ontario Reign320000101064100000104312200000063361.0001015250039756219112636787739541053756884125.00%80100.00%0703141649.65%621137645.13%50099150.45%150679614127131464711
20Providence Bruins2010000125-31010000013-21000000112-110.2502351039756219516367877395468118066200.00%5180.00%0703141649.65%621137645.13%50099150.45%150679614127131464711
21Rochester Americans211000006511010000013-21100000052320.50061016003975621964636787739548429604522100.00%5260.00%0703141649.65%621137645.13%50099150.45%150679614127131464711
22Rockford IceHogs3120000047-31010000023-12110000024-220.3334711013975621986636787739545823128907114.29%9277.78%0703141649.65%621137645.13%50099150.45%150679614127131464711
23San Diego Gulls2110000034-1110000002111010000013-220.50035800397562195063678773954743212242600.00%6266.67%0703141649.65%621137645.13%50099150.45%150679614127131464711
24San Jose Barracuda211000006511010000012-11100000053220.50061117003975621972636787739545724130387114.29%5260.00%0703141649.65%621137645.13%50099150.45%150679614127131464711
25Springfield Thunderbirds22000000826110000003121100000051441.00081422003975621959636787739544722114476233.33%7271.43%0703141649.65%621137645.13%50099150.45%150679614127131464711
26Syracuse Crunch2110000067-11010000025-31100000042220.50061016003975621956636787739545212139597342.86%7528.57%0703141649.65%621137645.13%50099150.45%150679614127131464711
27Texas Stars5020102013130301000209902010100044060.6001318310039756219141636787739541112821413213538.46%12741.67%0703141649.65%621137645.13%50099150.45%150679614127131464711
28Toronto Marlies22000000734110000004221100000031241.0007132000397562195763678773954752762434250.00%60100.00%0703141649.65%621137645.13%50099150.45%150679614127131464711
29Tucson Roadrunners2110000057-21010000014-31100000043120.500581300397562195863678773954642777704125.00%6516.67%0703141649.65%621137645.13%50099150.45%150679614127131464711
30Utica Comets2020000049-51010000034-11010000015-400.000461000397562196163678773954511599465120.00%7442.86%1703141649.65%621137645.13%50099150.45%150679614127131464711
31Wilkes-Barre Scranton Penguins20100010440100000102111010000023-120.500461000397562196163678773954391354673133.33%2150.00%1703141649.65%621137645.13%50099150.45%150679614127131464711
Total723025042101190168223613140117094831136171103131968511910.63219031050012397562192178636787739542059696278817911604528.13%1946964.43%4703141649.65%621137645.13%50099150.45%150679614127131464711
_Since Last GM Reset723025042101190168223613140117094831136171103131968511910.63219031050012397562192178636787739542059696278817911604528.13%1946964.43%4703141649.65%621137645.13%50099150.45%150679614127131464711
_Vs Conference40141404170999272058010604845320960311051474510.638991562550239756219122263678773954110738715481029971919.59%1094063.30%0703141649.65%621137645.13%50099150.45%150679614127131464711
_Vs Division18780305047416834010402116510440201026251300.8334777124013975621956163678773954575202679408491020.41%471568.09%0703141649.65%621137645.13%50099150.45%150679614127131464711

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7291W2190310500217820596962788179112
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
72302542101190168
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
36131411709483
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
36171131319685
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1604528.13%1946964.43%4
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
6367877395439756219
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
703141649.65%621137645.13%50099150.45%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
150679614127131464711


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
16Milwaukee Admirals3Grand Rapids Griffins2WXSommaire du match
318Milwaukee Admirals1Rockford IceHogs0WSommaire du match
429Texas Stars4Milwaukee Admirals2LSommaire du match
752Iowa Wild1Milwaukee Admirals2WXXSommaire du match
969Milwaukee Admirals2Texas Stars1WXSommaire du match
1080Milwaukee Admirals2Coachella Valley Firebirds0WSommaire du match
1295Manitoba Moose1Milwaukee Admirals3WSommaire du match
13103Milwaukee Admirals3Ontario Reign2WSommaire du match
16122Texas Stars3Milwaukee Admirals4WXXSommaire du match
19148Chicago Wolves2Milwaukee Admirals1LSommaire du match
21163Milwaukee Admirals4Syracuse Crunch2WSommaire du match
23176Milwaukee Admirals1Hershey Bears3LSommaire du match
25189San Jose Barracuda2Milwaukee Admirals1LSommaire du match
26206Milwaukee Admirals1San Diego Gulls3LSommaire du match
29221Hershey Bears4Milwaukee Admirals3LSommaire du match
31240Abbotsford Canucks2Milwaukee Admirals3WSommaire du match
33254Milwaukee Admirals3Abbotsford Canucks2WSommaire du match
35270Milwaukee Admirals3Colorado Eagles1WSommaire du match
36283Utica Comets4Milwaukee Admirals3LSommaire du match
39303Henderson Silver Knights4Milwaukee Admirals3LSommaire du match
41317Milwaukee Admirals3Lehigh Valley Phantoms1WSommaire du match
43333Milwaukee Admirals2Wilkes-Barre Scranton Penguins3LSommaire du match
44347Syracuse Crunch5Milwaukee Admirals2LSommaire du match
46365Milwaukee Admirals5San Jose Barracuda3WSommaire du match
48379Colorado Eagles2Milwaukee Admirals1LSommaire du match
50394Milwaukee Admirals3Belleville Senators5LSommaire du match
52411Milwaukee Admirals3Hartford Wolf Pack2WXXSommaire du match
53419Tucson Roadrunners4Milwaukee Admirals1LSommaire du match
56442Milwaukee Admirals5Cleveland Monsters4WXXSommaire du match
57451Laval Rocket4Milwaukee Admirals1LSommaire du match
59470Milwaukee Admirals5Rochester Americans2WSommaire du match
60480Rockford IceHogs3Milwaukee Admirals2LSommaire du match
64507Rochester Americans3Milwaukee Admirals1LSommaire du match
67529Milwaukee Admirals1Providence Bruins2LXXSommaire du match
69541Springfield Thunderbirds1Milwaukee Admirals3WSommaire du match
71558Milwaukee Admirals3Ontario Reign1WSommaire du match
72570Wilkes-Barre Scranton Penguins1Milwaukee Admirals2WXXSommaire du match
75591Milwaukee Admirals5Springfield Thunderbirds1WSommaire du match
77603Chicago Wolves5Milwaukee Admirals1LSommaire du match
79624Belleville Senators1Milwaukee Admirals4WSommaire du match
80637Milwaukee Admirals4Tucson Roadrunners3WSommaire du match
82647Milwaukee Admirals2Coachella Valley Firebirds5LSommaire du match
83665Charlotte Checkers1Milwaukee Admirals3WSommaire du match
86688San Diego Gulls1Milwaukee Admirals2WSommaire du match
88702Milwaukee Admirals3Grand Rapids Griffins1WSommaire du match
89714Milwaukee Admirals1Laval Rocket3LSommaire du match
91731Coachella Valley Firebirds2Milwaukee Admirals3WXSommaire du match
93751Milwaukee Admirals2Henderson Silver Knights4LSommaire du match
94758Milwaukee Admirals3Bakersfield Condors2WXSommaire du match
95768Lehigh Valley Phantoms1Milwaukee Admirals6WSommaire du match
99797Bridgeport Islanders1Milwaukee Admirals4WSommaire du match
101819Calgary Wranglers1Milwaukee Admirals2WXXSommaire du match
102828Milwaukee Admirals2Calgary Wranglers3LXSommaire du match
105851Manitoba Moose2Milwaukee Admirals3WXXSommaire du match
107867Milwaukee Admirals2Texas Stars3LSommaire du match
109881Cleveland Monsters1Milwaukee Admirals3WSommaire du match
112908Milwaukee Admirals3Toronto Marlies1WSommaire du match
113918Bakersfield Condors1Milwaukee Admirals3WSommaire du match
116938Milwaukee Admirals3Charlotte Checkers1WSommaire du match
117951Hartford Wolf Pack4Milwaukee Admirals3LXSommaire du match
119966Milwaukee Admirals1Rockford IceHogs4LSommaire du match
121981Providence Bruins3Milwaukee Admirals1LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1231000Milwaukee Admirals3Chicago Wolves2WSommaire du match
1251013Texas Stars2Milwaukee Admirals3WXXSommaire du match
1271034Toronto Marlies2Milwaukee Admirals4WSommaire du match
1301058Milwaukee Admirals1Utica Comets5LSommaire du match
1311066Milwaukee Admirals2Bridgeport Islanders1WSommaire du match
1331082Iowa Wild1Milwaukee Admirals3WSommaire du match
1351101Grand Rapids Griffins1Milwaukee Admirals4WSommaire du match
1361106Milwaukee Admirals1Iowa Wild3LSommaire du match
1411135Ontario Reign3Milwaukee Admirals4WXXSommaire du match
1421150Milwaukee Admirals5Manitoba Moose4WXXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance56,76534,559
Assistance PCT78.84%96.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2537 - 84.56% 98,040$3,529,430$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,444,845$ 1,944,829$ 1,944,829$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,944,885$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 16,861$ 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