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Milwaukee Admirals
GP: 70 | W: 42 | L: 25 | OTL: 3 | P: 87
GF: 181 | GA: 161 | PP%: 27.22% | PK%: 64.25%
DG: Jimmi Bornström | Morale : 71 | Moyenne d’équipe : 60
Prochains matchs #1135 vs Ontario Reign
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Centre de jeu
Grand Rapids Griffins
32-30-8, 72pts
1
FINAL
4 Milwaukee Admirals
42-25-3, 87pts
Team Stats
L2SéquenceL1
18-13-3Fiche domicile20-14-1
14-17-5Fiche domicile22-11-2
3-7-0Derniers 10 matchs6-4-0
1.94Buts par match 2.59
2.24Buts contre par match 2.30
38.98%Pourcentage en avantage numérique27.22%
63.31%Pourcentage en désavantage numérique64.25%
Milwaukee Admirals
42-25-3, 87pts
1
FINAL
3 Iowa Wild
40-21-9, 89pts
Team Stats
L1SéquenceW1
20-14-1Fiche domicile23-8-4
22-11-2Fiche domicile17-13-5
6-4-0Derniers 10 matchs7-3-0
2.59Buts par match 2.87
2.30Buts contre par match 2.54
27.22%Pourcentage en avantage numérique30.52%
64.25%Pourcentage en désavantage numérique65.29%
Ontario Reign
36-22-10, 82pts
Jour 141
Milwaukee Admirals
42-25-3, 87pts
Statistiques d’équipe
W2SéquenceL1
21-10-4Fiche domicile20-14-1
15-12-6Fiche visiteur22-11-2
6-2-210 derniers matchs6-4-0
2.78Buts par match 2.59
2.50Buts contre par match 2.59
32.10%Pourcentage en avantage numérique27.22%
72.58%Pourcentage en désavantage numérique64.25%
Milwaukee Admirals
42-25-3, 87pts
Jour 142
Manitoba Moose
36-25-9, 81pts
Statistiques d’équipe
L1SéquenceSOL1
20-14-1Fiche domicile24-7-3
22-11-2Fiche visiteur12-18-6
6-4-010 derniers matchs5-4-1
2.59Buts par match 2.59
2.30Buts contre par match 2.59
27.22%Pourcentage en avantage numérique27.33%
64.25%Pourcentage en désavantage numérique66.04%
Meneurs d'équipe
Cody GlassButs
Cody Glass
29
Cody GlassPasses
Cody Glass
37
Cody GlassPoints
Cody Glass
66
Mark BorowieckiPlus/Moins
Mark Borowiecki
19
Alex LyonVictoires
Alex Lyon
42
Devin CooleyPourcentage d’arrêts
Devin Cooley
0.939

Statistiques d’équipe
Buts pour
181
2.59 GFG
Tirs pour
2109
30.13 Avg
Pourcentage en avantage numérique
27.2%
43 GF
Début de zone offensive
37.6%
Buts contre
161
2.30 GAA
Tirs contre
1991
28.44 Avg
Pourcentage en désavantage numérique
64.2%%
69 GA
Début de la zone défensive
36.3%
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
Assistance2,541
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 Glass0XX100.007143918674689080877875657563646989710241874,125$
2Michael McCarron0XX100.009089737091577460696258772567636186660281750,000$
3Rem Pitlick (A)0XX100.0065428675706482664068656880616163856402621,100,000$
4Mathieu Olivier0X100.00939955658261785829646074256061618564X0261750,000$
5Anthony Richard0XX100.008544876366568968336577602559596689620271750,000$
6Matt Luff0X100.007744996873556755246061652560606183610261750,000$
7Simon Ryfors0XX100.007265866365838864806165616247476382610261760,000$
8Egor Afanasyev (R)0XXX100.007944967378579060255057642548485987600222789,167$
9James Hamblin0XX100.007062916964757959755659595547475988590242807,500$
10Jachym Kondelik (R)0X100.008584826887565849644650644847475484590242855,000$
11Hudson Elynuik0X100.007275636776585951685148584847475382560261750,000$
12Brayden Burke0XX100.006860876260494659765856585547475786550261750,000$
13Ben Harpur (A)0X100.00807778658664615625524672256768558364X0281750,000$
14Mark Borowiecki (C)0X100.00877825747850535357474680377273498863X0341900,000$
15Marc Del Gaizo (R)0X100.007168796671788552254939603847475183580241925,000$
16David Farrance (R)0X100.007367878270504955255242623947475282580241750,000$
17Adam Wilsby (R)0X100.007367856970727847254038593747474986570232842,500$
18Jakub Galvas0X100.006861896764748052254840583947475182560241870,000$
Rayé
1Gabriel Carlsson0X100.007775807875646949254139653758585420590261750,000$
2Jeremy Davies0X100.006566626866737953253951574846465620550271750,000$
3Frederic Allard0X100.006966766166606447253641593951515020530261750,000$
MOYENNE D’ÉQUIPE100.00766679697363725744535364425454577660
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 Lyon0100.00695453757763717079697550506487670311937,500$
2Devin Cooley (R)0100.00564759836158536057563044445688580261787,500$
Rayé
1Logan Flodell0100.00565959666057595559545544445120560261750,000$
MOYENNE D’ÉQUIPE100.0060535775665961626560534646576560
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/RW7029376613593580882677214510.86%25120817.278142219117000036459.64%12197524101.0968124698
2Anthony RichardMilwaukee Admirals (NSH)C/LW7024325615200124792028511311.88%27119617.09710171210820281257037.31%2686015100.9429000483
3Rem PitlickMilwaukee Admirals (NSH)C/LW701633491033158792201581147.96%35118816.97612181510302251211239.90%8275727000.8223021414
4Mathieu OlivierMilwaukee Admirals (NSH)RW701925441164732512970161488511.80%24110415.78791618991234832135.80%814525000.8015271622124
5Michael McCarronMilwaukee Admirals (NSH)C/RW701619351532520513879140509511.43%38119917.137714161090000243147.06%853526200.5800101615243
6Matt LuffMilwaukee Admirals (NSH)RW701417319151589104127467611.02%34133019.014610611111291333130.29%2742825000.4701012323
7Simon RyforsMilwaukee Admirals (NSH)C/LW70101323711775856614429986.94%1499314.1900001000004053.06%493214000.4601177122
8Egor AfanasyevMilwaukee Admirals (NSH)C/LW/RW7091423112020784614852796.08%1686212.3300006000003017.14%353216000.5300220134
9Ben HarpurMilwaukee Admirals (NSH)D701212217366290881139329401.08%81166023.7205531060001125010%01548000.2600201622100
10Mark BorowieckiMilwaukee Admirals (NSH)D7031922195062902151018835353.41%92156822.410224104000181110%02453000.2800181030113
11James HamblinMilwaukee Admirals (NSH)C/LW701472133125726816153988.70%1695413.640000240002593360.78%514414000.4401113230
12David FarranceMilwaukee Admirals (NSH)D7031518121178563925024266.00%71148121.1635841150111142000%01951000.24012510002
13Brayden BurkeMilwaukee Admirals (NSH)LW/RW705121746840834711545764.35%1084012.01000021000011162.50%243115000.4001422112
14Jachym KondelikMilwaukee Admirals (NSH)C7077149117851116233133021.21%2382611.8000000000000047.36%473419000.3401449220
15Marc Del GaizoMilwaukee Admirals (NSH)D7018911806080645825161.72%66135119.3112351120000128000%0524000.1300444000
16Hudson ElynuikMilwaukee Admirals (NSH)C702682969097654022295.00%1377511.0800000000000050.00%3241113000.2101477001
17Adam WilsbyMilwaukee Admirals (NSH)D7006691007068654113190%45122317.48000025000063000%0531000.1000446000
18Jakub GalvasMilwaukee Admirals (NSH)D7006610392549654019220%46111315.900000600009000%0725000.1111032000
Statistiques d’équipe totales ou en moyenne12601732974701872756175017361366210971811968.20%6762087916.57437211510211744610311104341547.79%3710529465400.451233102102146293839
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)70422530.9202.2641630215719571144110.889367001265
2Devin CooleyMilwaukee Admirals (NSH)30000.9391.458300233230000070000
Statistiques d’équipe totales ou en moyenne73422530.9202.2542470215919901167113670701265


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 Canucks22000000642110000003211100000032141.0006101600367261166261375772547671763386350.00%4250.00%0688138049.86%600133345.01%48596150.47%146477313666931422691
2Bakersfield Condors21001000633110000003121000100032141.0006111700367261165861375772547642067584250.00%6266.67%0688138049.86%600133345.01%48596150.47%146477313666931422691
3Belleville Senators21100000761110000004131010000035-220.50071320003672611666613757725476528121528562.50%8450.00%0688138049.86%600133345.01%48596150.47%146477313666931422691
4Bridgeport Islanders22000000624110000004131100000021141.000612180036726116496137577254757197159300.00%3166.67%0688138049.86%600133345.01%48596150.47%146477313666931422691
5Calgary Wranglers20000110440100000102111000010023-130.75045900367261166161375772547671965347114.29%5180.00%0688138049.86%600133345.01%48596150.47%146477313666931422691
6Charlotte Checkers22000000624110000003121100000031241.00061218003672611660613757725475521423422100.00%60100.00%0688138049.86%600133345.01%48596150.47%146477313666931422691
7Chicago Wolves3120000059-42020000027-51100000032120.3335914003672611698613757725478130160767114.29%10640.00%0688138049.86%600133345.01%48596150.47%146477313666931422691
8Cleveland Monsters21000010853110000003121000001054141.0008122000367261167561375772547531955444125.00%5260.00%0688138049.86%600133345.01%48596150.47%146477313666931422691
9Coachella Valley Firebirds31101000770100010003212110000045-140.66771219013672611684613757725476918134731119.09%7357.14%0688138049.86%600133345.01%48596150.47%146477313666931422691
10Colorado Eagles211000004311010000012-11100000031220.50046100036726116696137577254753154167200.00%3233.33%0688138049.86%600133345.01%48596150.47%146477313666931422691
11Grand Rapids Griffins320010001046110000004132100100063361.000101727003672611691613757725474619778711327.27%6266.67%0688138049.86%600133345.01%48596150.47%146477313666931422691
12Hartford Wolf Pack200001106601000010034-11000001032130.75069150036726116636137577254750215046400.00%5420.00%1688138049.86%600133345.01%48596150.47%146477313666931422691
13Henderson Silver Knights2020000058-31010000034-11010000024-200.000581300367261166261375772547723542374125.00%6350.00%0688138049.86%600133345.01%48596150.47%146477313666931422691
14Hershey Bears2020000047-31010000034-11010000013-200.000461000367261165961375772547712964384250.00%20100.00%0688138049.86%600133345.01%48596150.47%146477313666931422691
15Iowa Wild31100010651210000105231010000013-240.667691500367261169061375772547982816267600.00%16287.50%0688138049.86%600133345.01%48596150.47%146477313666931422691
16Laval Rocket2020000027-51010000014-31010000013-200.0002350036726116596137577254754106237100.00%6183.33%0688138049.86%600133345.01%48596150.47%146477313666931422691
17Lehigh Valley Phantoms22000000927110000006151100000031241.000915240036726116546137577254764161044122100.00%70100.00%1688138049.86%600133345.01%48596150.47%146477313666931422691
18Manitoba Moose21000010633210000106330000000000041.00067130036726116556137577254754214847300.00%4175.00%0688138049.86%600133345.01%48596150.47%146477313666931422691
19Ontario Reign22000000633000000000002200000063341.000610160036726116786137577254771284956300.00%70100.00%0688138049.86%600133345.01%48596150.47%146477313666931422691
20Providence Bruins2010000125-31010000013-21000000112-110.2502351036726116516137577254768118066200.00%5180.00%0688138049.86%600133345.01%48596150.47%146477313666931422691
21Rochester Americans211000006511010000013-21100000052320.50061016003672611664613757725478429604522100.00%5260.00%0688138049.86%600133345.01%48596150.47%146477313666931422691
22Rockford IceHogs3120000047-31010000023-12110000024-220.3334711013672611686613757725475823128907114.29%9277.78%0688138049.86%600133345.01%48596150.47%146477313666931422691
23San Diego Gulls2110000034-1110000002111010000013-220.50035800367261165061375772547743212242600.00%6266.67%0688138049.86%600133345.01%48596150.47%146477313666931422691
24San Jose Barracuda211000006511010000012-11100000053220.50061117003672611672613757725475724130387114.29%5260.00%0688138049.86%600133345.01%48596150.47%146477313666931422691
25Springfield Thunderbirds22000000826110000003121100000051441.00081422003672611659613757725474722114476233.33%7271.43%0688138049.86%600133345.01%48596150.47%146477313666931422691
26Syracuse Crunch2110000067-11010000025-31100000042220.50061016003672611656613757725475212139597342.86%7528.57%0688138049.86%600133345.01%48596150.47%146477313666931422691
27Texas Stars5020102013130301000209902010100044060.6001318310036726116141613757725471112821413213538.46%12741.67%0688138049.86%600133345.01%48596150.47%146477313666931422691
28Toronto Marlies22000000734110000004221100000031241.0007132000367261165761375772547752762434250.00%60100.00%0688138049.86%600133345.01%48596150.47%146477313666931422691
29Tucson Roadrunners2110000057-21010000014-31100000043120.500581300367261165861375772547642777704125.00%6516.67%0688138049.86%600133345.01%48596150.47%146477313666931422691
30Utica Comets2020000049-51010000034-11010000015-400.000461000367261166161375772547511599465120.00%7442.86%1688138049.86%600133345.01%48596150.47%146477313666931422691
31Wilkes-Barre Scranton Penguins20100010440100000102111010000023-120.500461000367261166161375772547391354673133.33%2150.00%1688138049.86%600133345.01%48596150.47%146477313666931422691
Total70302504281181161203513140116090801035171103121918110870.62118129747812367261162109613757725471991676275617361584327.22%1936964.25%4688138049.86%600133345.01%48596150.47%146477313666931422691
_Since Last GM Reset70302504281181161203513140116090801035171103121918110870.62118129747812367261162109613757725471991676275617361584327.22%1936964.25%4688138049.86%600133345.01%48596150.47%146477313666931422691
_Vs Conference38141404150908551958010504442219960310046433470.61890143233023672611611536137577254710393671516974951717.89%1084062.96%0688138049.86%600133345.01%48596150.47%146477313666931422691
_Vs Division17780304043385734010401713410440200026251280.824437211501367261165276137577254754119367237648918.75%461567.39%0688138049.86%600133345.01%48596150.47%146477313666931422691

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7087L1181297478210919916762756173612
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7030254281181161
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
35131411609080
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
35171131219181
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1584327.22%1936964.25%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
6137577254736726116
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
688138049.86%600133345.01%48596150.47%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
146477313666931422691


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 Reign-Milwaukee Admirals-
1421150Milwaukee Admirals-Manitoba Moose-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance55,31233,637
Assistance PCT79.02%96.11%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
1 2541 - 84.71% 98,238$3,438,340$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,293,096$ 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$ 1,824,168$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
98,238$ 9 16,861$ 151,749$




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