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Milwaukee Admirals
GP: 72 | W: 47 | L: 19 | OTL: 6 | P: 100
GF: 231 | GA: 180 | PP%: 33.33% | PK%: 75.26%
DG: Jimmi Bornström | Morale : 76 | Moyenne d’équipe : 58
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Centre de jeu
Belleville Senators
31-30-11, 73pts
1
FINAL
4 Milwaukee Admirals
47-19-6, 100pts
Team Stats
W2SéquenceW2
16-14-6Fiche domicile25-9-2
15-16-5Fiche domicile22-10-4
5-4-1Derniers 10 matchs7-3-0
2.57Buts par match 3.21
2.75Buts contre par match 2.50
36.27%Pourcentage en avantage numérique33.33%
69.01%Pourcentage en désavantage numérique75.26%
Ontario Reign
43-22-7, 93pts
2
FINAL
3 Milwaukee Admirals
47-19-6, 100pts
Team Stats
L1SéquenceW2
21-12-3Fiche domicile25-9-2
22-10-4Fiche domicile22-10-4
5-4-1Derniers 10 matchs7-3-0
2.65Buts par match 3.21
2.58Buts contre par match 2.50
33.61%Pourcentage en avantage numérique33.33%
62.04%Pourcentage en désavantage numérique75.26%
Meneurs d'équipe
Buts
Juuso Parssinen
37
Passes
Juuso Parssinen
42
Points
Juuso Parssinen
79
Jeremy DaviesPlus/Moins
Jeremy Davies
25
Victoires
Matt Villalta
47
Pourcentage d’arrêts
Matt Villalta
0.92

Statistiques d’équipe
Buts pour
231
3.21 GFG
Tirs pour
2263
31.43 Avg
Pourcentage en avantage numérique
33.3%
39 GF
Début de zone offensive
35.8%
Buts contre
180
2.50 GAA
Tirs contre
2236
31.06 Avg
Pourcentage en désavantage numérique
75.3%%
24 GA
Début de la zone défensive
36.8%
Informations de l'équipe

Directeur généralJimmi Bornström
EntraîneurAndrew Brunette
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,486
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 60
Espoirs25


Historique d'équipe

Saison actuelle47-19-6 (100PTS)
Historique131-70-24 (0.582%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)9 - 9 (0.500%)
Coupe Stanley0


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
1Juuso Parssinen0X100.00824694798371737576687765505152188680231850,833$
2Luke Evangelista0X100.00633996816969838125787658255350186680222797,500$
3Justin Bailey0X100.00825899798264696845706867255956189650292968,750$
4Michael Sgarbossa0X100.00725599796863716479666967596559186640322800,000$
5Waltteri Merela0X100.00844696777961775844556265645352187630261900,000$
6Fedor Svechkov (R)0X100.007237977169665574786376592543462975630213925,000$
7William Lockwood0X100.00876396866558656445605962255353187620262775,000$
8Chris Wagner0XX100.00885894757156606286616361256769186610331800,000$
9James Hamblin0XX100.00635499846157586482596165255152188600251807,500$
10Egor Afanasyev (R)0XX100.00695984727750776075616164644848186600231789,167$
11Anthony Richard0XX100.00635588706450796045615858505753187570281775,000$
12Rem Pitlick0XX100.006136917067507960456154576555521865702711,100,000$
13Ethan Bear0X100.007042907368656768255651712560601546202722,578,125$
14Philippe Myers0X100.006859846382508050255543692555521875902711,400,000$
15Jeremy Davies0X100.00675782666450825725594859255753186570282775,000$
16Adam Wilsby (R)0X100.00603693657350805225534663254949185560241842,500$
17Jack Matier (R)0X100.00573697598050574125453353244646186520213802,000$
18Ryan Ufko (R)0X100.003030996550453734303831403029302925400211775,000$
Rayé
1Jacob Lucchini0XX100.00685494746661645975596066575856161600291775,000$
2Matt Luff0X100.00635687677450625845555858505249120560271775,000$
3Hudson Elynuik0X100.00645787648150725475554656505249119550271775,000$
4Alex Campbell (R)0X100.003030995345423732303035423030323020380231750,000$
MOYENNE D’ÉQUIPE100.0067489371705667595058566038525157258
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
1Matt Villalta (R)0100.0069705574676967656575514950191650251968,750$
2Devin Cooley0100.0063525183605258576162625249188590271775,000$
Rayé
1Kyle Keyser (R)0100.0051474671454041404248504847120460251780,000$
MOYENNE D’ÉQUIPE100.006156517657545554566254504916657
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Andrew Brunette40505070999050CAN521500,000$


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
1Juuso ParssinenMilwaukee Admirals (NSH)C72374279162151331112848015413.03%30134418.675131810870006684155.22%14566344301.1827010874
2Justin BaileyMilwaukee Admirals (NSH)RW722532571900113812315312610.82%21118916.5246109570111257445.83%487228110.9615000652
3Chris WagnerMilwaukee Admirals (NSH)C/RW7224335724601491031625311314.81%31121616.8921012879000003055.39%6683531000.9417000575
4Luke EvangelistaMilwaukee Admirals (NSH)RW5016294534056381404911211.43%1271514.3249131057000005036.59%413719011.2602000241
5William LockwoodMilwaukee Admirals (NSH)RW72192039575120741886110710.11%27105414.644376320000193138.18%555215000.7401010450
6James HamblinMilwaukee Admirals (NSH)C/LW721323368758689174591127.47%18124017.2247119850000122060.00%755625000.5812001024
7Egor AfanasyevMilwaukee Admirals (NSH)C/LW7213223542951167387315614.94%24108315.04358577000004162.86%352516000.6500100106
8Michael SgarbossaMilwaukee Admirals (NSH)C7216193567510489171601279.36%28103814.43000001016701156.44%5674721000.6700010205
9Anthony RichardMilwaukee Admirals (NSH)C/LW72131629232001077997468513.40%20117216.29000070003663037.21%432925000.4900000323
10Gustav OlofssonNashville PredatorsD724232713100105888334354.82%98179624.96325779000168000%0971100.3000000023
11Jeremy DaviesMilwaukee Admirals (NSH)D721222325535114918534381.18%81168623.43101474000255100%01744000.2700001001
12Waltteri MerelaMilwaukee Admirals (NSH)C7214822-54015592135419210.37%27114115.8600000000003139.82%4423132000.3900000233
13Adam WilsbyMilwaukee Admirals (NSH)D722182026068763814175.26%63126417.57268481000282000%0844000.3200000001
14Fedor SvechkovMilwaukee Admirals (NSH)C198917620332169204111.59%328515.03325723000002151.15%217154001.1900000302
15Jacob LucchiniMilwaukee Admirals (NSH)C/RW5312416-720494689345213.48%1163411.97101170004483050.00%222714000.5000000210
16Rem PitlickMilwaukee Admirals (NSH)C/LW7251015-515564439127625.49%2279311.0100001000020144.00%252315000.3811010000
17Philippe MyersMilwaukee Admirals (NSH)D72311141824077614318236.98%66123217.11246390000068100%0327000.2300000010
18Jack MatierMilwaukee Admirals (NSH)D720131320036673721260%53132418.390000400006000%0537000.2000000000
19Ethan BearMilwaukee Admirals (NSH)D4218926049604117152.44%3280819.25101218000028010%01224000.2200000000
20Ryan UfkoMilwaukee Admirals (NSH)D30022-40021918760%1555418.470000100001000%019000.0700000000
21Matt LuffMilwaukee Admirals (NSH)RW4000100000000%071.830000100000000%00000000000000
22Hudson ElynuikMilwaukee Admirals (NSH)C18000000000000%070.410000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne12962263645901562233517361401226375913999.99%6822159116.6639671068586911225625421252.63%3694567545520.55625142383940
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
1Matt VillaltaMilwaukee Admirals (NSH)72471960.9202.4443256017622101236500.917247201043
2Devin CooleyMilwaukee Admirals (NSH)10000.9233.083900226150000072000
Statistiques d’équipe totales ou en moyenne73471960.9202.4543656017822361251502472721043


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 Plafond 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 WilsbyMilwaukee Admirals (NSH)D242000-12-31SWEYes183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm842,500$0$0$No---------------------------Lien
Alex CampbellMilwaukee Admirals (NSH)LW232001-12-31CANYes176 Lbs5 ft10NoNoProspectNoNo12024-08-01FalseFalsePro & Farm750,000$0$0$No---------------------------
Anthony RichardMilwaukee Admirals (NSH)C/LW281996-12-31CANNo186 Lbs5 ft10NoNoFree AgentNoNo12024-08-13FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Chris WagnerMilwaukee Admirals (NSH)C/RW331991-12-31USANo198 Lbs6 ft0NoNoFree AgentNoNo12024-09-02FalseFalsePro & Farm800,000$0$0$No---------------------------Lien / Lien NHL
Devin CooleyMilwaukee Admirals (NSH)G271997-12-31USANo190 Lbs6 ft5NoNoFree AgentNoNo12024-08-10FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Egor AfanasyevMilwaukee Admirals (NSH)C/LW232001-12-31RUSYes204 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm789,167$0$0$No---------------------------Lien / Lien NHL
Ethan BearMilwaukee Admirals (NSH)D271997-12-31CANNo197 Lbs5 ft11NoNoFree AgentNoNo22024-08-29FalseFalsePro & Farm2,578,125$0$0$No2,578,125$--------2,578,125$--------No--------Lien / Lien NHL
Fedor SvechkovMilwaukee Admirals (NSH)C212003-12-31RUSYes187 Lbs6 ft0NoNoFree AgentNoNo32024-08-15FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------
Hudson ElynuikMilwaukee Admirals (NSH)C271997-12-31CANNo194 Lbs6 ft5NoNoFree AgentNoNo12024-08-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Jack MatierMilwaukee Admirals (NSH)D212003-12-31CANYes200 Lbs6 ft4NoNoFree AgentNoNo32024-08-15FalseFalsePro & Farm802,000$0$0$No802,000$802,000$-------802,000$802,000$-------NoNo-------Lien
Jacob LucchiniMilwaukee Admirals (NSH)C/RW291995-12-31CANNo183 Lbs5 ft11NoNoFree AgentNoNo12024-08-28FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
James HamblinMilwaukee Admirals (NSH)C/LW251999-12-31CANNo175 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm807,500$0$0$No---------------------------Lien / Lien NHL
Jeremy DaviesMilwaukee Admirals (NSH)D281996-12-31CANNo181 Lbs5 ft11NoNoFree AgentNoNo22025-02-21FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Justin BaileyMilwaukee Admirals (NSH)RW291995-12-31USANo214 Lbs6 ft4NoNoFree AgentNoNo22025-02-21FalseFalsePro & Farm968,750$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Juuso ParssinenMilwaukee Admirals (NSH)C232001-12-31FINNo203 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm850,833$0$0$No---------------------------Lien
Kyle KeyserMilwaukee Admirals (NSH)G251999-12-31USAYes185 Lbs6 ft2NoNoFree AgentNoNo12024-09-01FalseFalsePro & Farm780,000$0$0$No---------------------------Lien / Lien NHL
Luke EvangelistaMilwaukee Admirals (NSH)RW222002-12-31CANNo166 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm797,500$0$0$No797,500$--------797,500$--------No--------Lien
Matt LuffMilwaukee Admirals (NSH)RW271997-12-31CANNo196 Lbs6 ft2NoNoFree AgentNoNo12024-08-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Matt VillaltaMilwaukee Admirals (NSH)G251999-12-31CANYes170 Lbs6 ft2NoNoFree AgentNoNo12024-08-27FalseFalsePro & Farm968,750$0$0$No---------------------------Lien
Michael SgarbossaMilwaukee Admirals (NSH)C321992-12-31CANNo185 Lbs6 ft0NoNoFree AgentNoNo22024-09-02FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Philippe MyersMilwaukee Admirals (NSH)D271997-12-31CANNo210 Lbs6 ft5NoNoFree AgentNoNo12024-08-11FalseFalsePro & Farm1,400,000$0$0$No---------------------------Lien / Lien NHL
Rem PitlickMilwaukee Admirals (NSH)C/LW271997-12-31CANNo196 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien / Lien NHL
Ryan UfkoMilwaukee Admirals (NSH)D212003-12-31USAYes181 Lbs5 ft10NoNoFree AgentNoNo12024-08-13FalseFalsePro & Farm775,000$0$0$No---------------------------
Waltteri MerelaMilwaukee Admirals (NSH)C261998-12-31FINNo196 Lbs6 ft2NoNoFree AgentNoNo12024-09-02FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
William LockwoodMilwaukee Admirals (NSH)RW261998-12-31USANo172 Lbs5 ft11NoNoFree AgentNoNo22024-08-28FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2525.84189 Lbs6 ft11.40922,405$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1James HamblinJuuso ParssinenLuke Evangelista30122
2Anthony RichardFedor SvechkovChris Wagner27122
3Egor AfanasyevMichael SgarbossaJustin Bailey23122
4Rem PitlickWaltteri MerelaWilliam Lockwood20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan BearJack Matier30122
2Adam Wilsby27122
3Jeremy DaviesPhilippe Myers23122
4Jeremy Davies20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1James HamblinJuuso ParssinenLuke Evangelista50122
2Egor AfanasyevFedor SvechkovChris Wagner50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremy DaviesPhilippe Myers50122
2Adam Wilsby50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Juuso ParssinenAnthony Richard50122
2Michael SgarbossaJustin Bailey50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremy Davies50122
2Philippe MyersAdam Wilsby50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Juuso Parssinen50122Jeremy Davies50122
2Chris Wagner50122Philippe MyersAdam Wilsby50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Juuso ParssinenJames Hamblin50122
2Chris WagnerEgor Afanasyev50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philippe Myers50122
2Jeremy DaviesAdam Wilsby50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
James HamblinJuuso ParssinenJustin BaileyPhilippe Myers
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
James HamblinJuuso ParssinenJustin BaileyPhilippe Myers
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
William Lockwood, Chris Wagner, Egor AfanasyevChris Wagner, William LockwoodWilliam Lockwood
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Wilsby, Philippe Myers, Adam WilsbyAdam Wilsby,
Tirs de pénalité
Justin Bailey, Chris Wagner, Juuso Parssinen, James Hamblin, William Lockwood
Gardien
#1 : Matt Villalta, #2 : Devin Cooley
Lignes d’attaque personnalisées en prolongation
Juuso Parssinen, Chris Wagner, Waltteri Merela, Egor Afanasyev, William Lockwood, James Hamblin, James Hamblin, Justin Bailey, Michael Sgarbossa, Fedor Svechkov, Anthony Richard
Lignes de défense personnalisées en prolongation
Philippe Myers, , Jack Matier, Jeremy Davies, Adam Wilsby


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 Canucks2010000135-21000000123-11010000012-110.2503690046888414625828108346259142623133.33%10100.00%0699129953.81%710133853.06%53599653.71%152684314406741404695
2Bakersfield Condors21000100431110000003121000010012-130.7504590046888414565828108346243142495120.00%10100.00%0699129953.81%710133853.06%53599653.71%152684314406741404695
3Belleville Senators21100000761110000004131010000035-220.5007132000468884145658281083462772511464250.00%3166.67%0699129953.81%710133853.06%53599653.71%152684314406741404695
4Bridgeport Islanders201000105501010000012-11000001043120.5005611004688841455582810834624518454600.00%2150.00%0699129953.81%710133853.06%53599653.71%152684314406741404695
5Calgary Wranglers21100000660110000003121010000035-220.5006915004688841458582810834626724058200.00%000%0699129953.81%710133853.06%53599653.71%152684314406741404695
6Charlotte Checkers2010010059-41010000025-31000010034-110.250581300468884145258281083462822165333100.00%30100.00%0699129953.81%710133853.06%53599653.71%152684314406741404695
7Chicago Wolves330000001248220000006241100000062461.00012203200468884147758281083462892210707342.86%50100.00%0699129953.81%710133853.06%53599653.71%152684314406741404695
8Cleveland Monsters21100000550110000003121010000024-220.5005101500468884146358281083462561044411100.00%20100.00%0699129953.81%710133853.06%53599653.71%152684314406741404695
9Coachella Valley Firebirds211000007521010000014-31100000061520.5007142100468884146258281083462612013474250.00%4250.00%0699129953.81%710133853.06%53599653.71%152684314406741404695
10Colorado Eagles33000000936110000004132200000052361.000913220046888414845828108346286324676116.67%2150.00%0699129953.81%710133853.06%53599653.71%152684314406741404695
11Grand Rapids Griffins2000020057-21000010034-11000010023-120.50058130046888414575828108346267272385240.00%110.00%0699129953.81%710133853.06%53599653.71%152684314406741404695
12Hartford Wolf Pack21001000743100010003211100000042241.00071017004688841469582810834626322255200.00%10100.00%0699129953.81%710133853.06%53599653.71%152684314406741404695
13Henderson Silver Knights210010001037110000007161000100032141.0001016260046888414645828108346263248465120.00%4250.00%0699129953.81%710133853.06%53599653.71%152684314406741404695
14Hershey Bears21000001761110000004221000000134-130.750713200046888414655828108346257191252200.00%6183.33%0699129953.81%710133853.06%53599653.71%152684314406741404695
15Iowa Wild30201000912-32020000059-41000100043120.3339122100468884148458281083462127311257400.00%60100.00%0699129953.81%710133853.06%53599653.71%152684314406741404695
16Laval Rocket3200001014862200000011651000001032161.000142034004688841410458281083462893816666350.00%8275.00%0699129953.81%710133853.06%53599653.71%152684314406741404695
17Lehigh Valley Phantoms2110000056-1110000004131010000015-420.5005813004688841471582810834626122654000%3166.67%0699129953.81%710133853.06%53599653.71%152684314406741404695
18Manitoba Moose4310000015114211000006512200000096360.7501526410046888414149582810834629424101135240.00%5260.00%0699129953.81%710133853.06%53599653.71%152684314406741404695
19Ontario Reign2110000046-2110000003211010000014-320.5004812004688841458582810834624514840300.00%4175.00%0699129953.81%710133853.06%53599653.71%152684314406741404695
20Providence Bruins2010001056-1100000103211010000024-220.5005611004688841468582810834626224124511100.00%60100.00%0699129953.81%710133853.06%53599653.71%152684314406741404695
21Rochester Americans20002000642100010003211000100032141.000610160046888414625828108346261206514125.00%3166.67%0699129953.81%710133853.06%53599653.71%152684314406741404695
22Rockford IceHogs32000010141041100000042221000010108261.000142236004688841493582810834621103210638450.00%5180.00%1699129953.81%710133853.06%53599653.71%152684314406741404695
23San Diego Gulls2020000046-21010000023-11010000023-100.000461000468884146758281083462872414473133.33%220.00%0699129953.81%710133853.06%53599653.71%152684314406741404695
24San Jose Barracuda21001000725100010002111100000051441.000711180046888414515828108346255136537228.57%30100.00%0699129953.81%710133853.06%53599653.71%152684314406741404695
25Springfield Thunderbirds2020000027-51010000012-11010000015-400.000246004688841484582810834627321545400.00%000%0699129953.81%710133853.06%53599653.71%152684314406741404695
26Syracuse Crunch21100000642110000005141010000013-220.5006915004688841454582810834625614456000%2150.00%0699129953.81%710133853.06%53599653.71%152684314406741404695
27Texas Stars3300000017892200000013671100000042261.00017264300468884149558281083462871420673266.67%5180.00%0699129953.81%710133853.06%53599653.71%152684314406741404695
28Toronto Marlies21001000642110000002111000100043141.000681400468884145958281083462611565311100.00%3166.67%0699129953.81%710133853.06%53599653.71%152684314406741404695
29Tucson Roadrunners33000000945110000002112200000073461.0009142300468884141055828108346298362826233.33%110.00%0699129953.81%710133853.06%53599653.71%152684314406741404695
30Utica Comets21000010633110000003121000001032141.00068140046888414645828108346251182424250.00%10100.00%0699129953.81%710133853.06%53599653.71%152684314406741404695
31Wilkes-Barre Scranton Penguins3110100010821010000024-22100100084440.6671015250046888414115582810834621043010613133.33%5180.00%0699129953.81%710133853.06%53599653.71%152684314406741404695
Total72341908452231180513621903111117793836131005341114101131000.6942313645950046888414226358281083462223668222917361173933.33%972475.26%1699129953.81%710133853.06%53599653.71%152684314406741404695
_Since Last GM Reset72341908452231180513621903111117793836131005341114101131000.6942313645950046888414226358281083462223668222917361173933.33%972475.26%1699129953.81%710133853.06%53599653.71%152684314406741404695
_Vs Conference3823903111130884219125010016342211911402110674621560.73713020833800468884141165582810834621171338121921712230.99%481372.92%1699129953.81%710133853.06%53599653.71%152684314406741404695
_Vs Division16173010104536988300000231678900101022202381.18845751200046888414478582810834624801475340232825.00%19763.16%0699129953.81%710133853.06%53599653.71%152684314406741404695

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
72100W223136459522632236682229173600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7234198452231180
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
36219311111779
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3613105341114101
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1173933.33%972475.26%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
5828108346246888414
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
699129953.81%710133853.06%53599653.71%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
152684314406741404695


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
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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
11Milwaukee Admirals3Wilkes-Barre Scranton Penguins2WXSommaire du match
321Laval Rocket2Milwaukee Admirals5WSommaire du match
536Milwaukee Admirals2Colorado Eagles1WSommaire du match
752Milwaukee Admirals3Laval Rocket2WXXSommaire du match
858Chicago Wolves1Milwaukee Admirals3WSommaire du match
1182Iowa Wild6Milwaukee Admirals3LSommaire du match
1390Milwaukee Admirals4Tucson Roadrunners2WSommaire du match
14100Milwaukee Admirals4Manitoba Moose2WSommaire du match
16114Milwaukee Admirals7Rockford IceHogs6WSommaire du match
17128Texas Stars3Milwaukee Admirals8WSommaire du match
21157Manitoba Moose1Milwaukee Admirals3WSommaire du match
24171Milwaukee Admirals4Bridgeport Islanders3WXXSommaire du match
26189Hartford Wolf Pack2Milwaukee Admirals3WXSommaire du match
28200Milwaukee Admirals4Iowa Wild3WXSommaire du match
30218Grand Rapids Griffins4Milwaukee Admirals3LXSommaire du match
32231Milwaukee Admirals2San Diego Gulls3LSommaire du match
34247Milwaukee Admirals1Syracuse Crunch3LSommaire du match
35254Iowa Wild3Milwaukee Admirals2LSommaire du match
38277Milwaukee Admirals5San Jose Barracuda1WSommaire du match
40285Calgary Wranglers1Milwaukee Admirals3WSommaire du match
42302Milwaukee Admirals1Springfield Thunderbirds5LSommaire du match
44317Colorado Eagles1Milwaukee Admirals4WSommaire du match
46334Milwaukee Admirals3Colorado Eagles1WSommaire du match
48347San Jose Barracuda1Milwaukee Admirals2WXSommaire du match
50365Milwaukee Admirals6Chicago Wolves2WSommaire du match
52381Rochester Americans2Milwaukee Admirals3WXSommaire du match
56407Coachella Valley Firebirds4Milwaukee Admirals1LSommaire du match
58422Milwaukee Admirals4Toronto Marlies3WXSommaire du match
60440Abbotsford Canucks3Milwaukee Admirals2LXXSommaire du match
62458Milwaukee Admirals2Providence Bruins4LSommaire du match
63470Milwaukee Admirals3Charlotte Checkers4LXSommaire du match
65477Henderson Silver Knights1Milwaukee Admirals7WSommaire du match
68503Lehigh Valley Phantoms1Milwaukee Admirals4WSommaire du match
71524Milwaukee Admirals3Utica Comets2WXXSommaire du match
73534Utica Comets1Milwaukee Admirals3WSommaire du match
75555Milwaukee Admirals2Cleveland Monsters4LSommaire du match
77565Milwaukee Admirals3Tucson Roadrunners1WSommaire du match
78574Chicago Wolves1Milwaukee Admirals3WSommaire du match
81592Milwaukee Admirals2Grand Rapids Griffins3LXSommaire du match
83605Bakersfield Condors1Milwaukee Admirals3WSommaire du match
85628Milwaukee Admirals3Belleville Senators5LSommaire du match
86637Texas Stars3Milwaukee Admirals5WSommaire du match
89656Milwaukee Admirals1Lehigh Valley Phantoms5LSommaire du match
91669San Diego Gulls3Milwaukee Admirals2LSommaire du match
95693Toronto Marlies1Milwaukee Admirals2WSommaire du match
97710Milwaukee Admirals5Manitoba Moose4WSommaire du match
99722Milwaukee Admirals3Hershey Bears4LXXSommaire du match
101734Charlotte Checkers5Milwaukee Admirals2LSommaire du match
103751Milwaukee Admirals5Wilkes-Barre Scranton Penguins2WSommaire du match
104764Springfield Thunderbirds2Milwaukee Admirals1LSommaire du match
106777Milwaukee Admirals4Hartford Wolf Pack2WSommaire du match
109798Manitoba Moose4Milwaukee Admirals3LSommaire du match
111813Milwaukee Admirals1Ontario Reign4LSommaire du match
113829Tucson Roadrunners1Milwaukee Admirals2WSommaire du match
116854Providence Bruins2Milwaukee Admirals3WXXSommaire du match
118871Milwaukee Admirals3Henderson Silver Knights2WXSommaire du match
121886Milwaukee Admirals1Abbotsford Canucks2LSommaire du match
122895Hershey Bears2Milwaukee Admirals4WSommaire du match
126922Laval Rocket4Milwaukee Admirals6WSommaire du match
130945Rockford IceHogs2Milwaukee Admirals4WSommaire du match
132959Milwaukee Admirals1Bakersfield Condors2LXSommaire du match
134978Cleveland Monsters1Milwaukee Admirals3WSommaire du match
135987Milwaukee Admirals3Rockford IceHogs2WXXSommaire du match
136994Milwaukee Admirals3Rochester Americans2WXSommaire du match
1401015Wilkes-Barre Scranton Penguins4Milwaukee Admirals2LSommaire du match
1431038Syracuse Crunch1Milwaukee Admirals5WSommaire du match
1461055Milwaukee Admirals6Coachella Valley Firebirds1WSommaire du match
1491075Bridgeport Islanders2Milwaukee Admirals1LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1511090Milwaukee Admirals4Texas Stars2WSommaire du match
1531097Milwaukee Admirals3Calgary Wranglers5LSommaire du match
1551115Belleville Senators1Milwaukee Admirals4WSommaire du match
1601139Ontario Reign2Milwaukee Admirals3WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance54,85534,642
Assistance PCT76.19%96.23%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2486 - 82.87% 95,433$3,435,590$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,891,505$ 2,306,012$ 2,306,012$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,391,564$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 17,215$ 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
1Anthony Richard22059731322910335224049811.85%83374717.04192948382021215241.84%10.70311
2Matt Luff152585711544920722644613.00%63302319.8923264941224169529.67%10.76413
3Egor Afanasyev2204272114111993252474409.55%71329114.961623393200037351.94%00.6928
4Cody Glass1144954103-47414116042811.45%44210718.491524393000018559.23%10.98913
5James Hamblin220454590131052502765198.67%49335415.255101516000211360.20%10.5413

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
1Matt Villalta72471960.9202.4443256017622101236500.91724
2Alex Lyon72442530.9192.2942930216420251174110.88142
3Connor Ingram764026100.9142.41461383185215112421020.67634
4Devin Cooley40000.9321.9512300459380000

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
Saison régulière
202276342602347210194163816130113410899938181301213102957902103395492329849182157512779851492153693169416812168539.35%1646361.59%2737148449.66%720145349.55%533108549.12%151175415347521571780
20237230250421011901682236131401170948311361711031319685119119031050012397562192178636787739542059696278817911604528.13%1946964.43%4703141649.65%621137645.13%50099150.45%150679614127131464711
202472341908452231180513621903111117793836131005341114101131002313645950046888414226358281083462223668222917361173933.33%972475.26%1699129953.81%710133853.06%53599653.71%152684314406741404695
Total Saison régulière22098700149191063154289110503605311531926158110483409685312281312816311013164435114247237416598173023762424165644820714711520849316934.28%45515665.71%72139419950.94%2051416749.22%1568307251.04%454423944387214144392187
Séries éliminatoires
2022734000001314-1312000006604220000078-1613223501246121256657516192632501621715.88%20860.00%06813251.52%6714346.85%418548.24%146711397215478
2023116500000342866420000023149523000001114-3123456900089170331114101112431111164327730620.00%281353.57%011124146.06%11123048.26%8416750.30%232120214109220109
Total Séries éliminatoires189900000474259540000029209945000001822-41847781250110132315431701661872050317489343947714.89%482156.25%017937347.99%17837347.72%12525249.60%379192354181374187

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
1Cody Glass18612185171832787.69%934619.24235600013059.54%11.0400
2Anthony Richard18761310925174814.58%732217.92202400020040.98%00.8100
3Matt Luff18551011726173315.15%1137320.75033200021025.00%00.5400
4Michael McCarron1154949117122025.00%617215.70202300001047.06%01.0400
5Egor Afanasyev18639112029134214.29%426014.45000200011050.00%00.6900

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
1Alex Lyon116320.9102.5266720283111791000
2Connor Ingram73220.9271.9144001141921100000