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Milwaukee Admirals
GP: 51 | W: 33 | L: 13 | OTL: 5 | P: 71
GF: 166 | GA: 132 | PP%: 32.93% | PK%: 74.58%
DG: Jimmi Bornström | Morale : 67 | Moyenne d’équipe : 57
Prochains matchs #798 vs Manitoba Moose
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Centre de jeu
Springfield Thunderbirds
28-19-4, 60pts
2
FINAL
1 Milwaukee Admirals
33-13-5, 71pts
Team Stats
L1SéquenceW1
13-10-2Fiche domicile16-6-2
15-9-2Fiche domicile17-7-3
6-3-1Derniers 10 matchs5-4-1
2.76Buts par match 3.25
2.57Buts contre par match 2.59
28.24%Pourcentage en avantage numérique32.93%
71.88%Pourcentage en désavantage numérique74.58%
Milwaukee Admirals
33-13-5, 71pts
4
FINAL
2 Hartford Wolf Pack
26-15-7, 59pts
Team Stats
W1SéquenceL1
16-6-2Fiche domicile15-8-2
17-7-3Fiche domicile11-7-5
5-4-1Derniers 10 matchs6-3-1
3.25Buts par match 2.65
2.59Buts contre par match 2.46
32.93%Pourcentage en avantage numérique37.50%
74.58%Pourcentage en désavantage numérique69.57%
Manitoba Moose
10-28-10, 30pts
Jour 109
Milwaukee Admirals
33-13-5, 71pts
Statistiques d’équipe
SOL1SéquenceW1
7-11-7Fiche domicile16-6-2
3-17-3Fiche visiteur17-7-3
2-5-310 derniers matchs5-4-1
2.08Buts par match 3.25
3.33Buts contre par match 3.25
30.26%Pourcentage en avantage numérique32.93%
55.71%Pourcentage en désavantage numérique74.58%
Milwaukee Admirals
33-13-5, 71pts
Jour 111
Ontario Reign
28-17-4, 60pts
Statistiques d’équipe
W1SéquenceW2
16-6-2Fiche domicile15-9-1
17-7-3Fiche visiteur13-8-3
5-4-110 derniers matchs7-2-1
3.25Buts par match 2.47
2.59Buts contre par match 2.47
32.93%Pourcentage en avantage numérique29.27%
74.58%Pourcentage en désavantage numérique65.82%
Tucson Roadrunners
22-16-11, 55pts
Jour 113
Milwaukee Admirals
33-13-5, 71pts
Statistiques d’équipe
OTL1SéquenceW1
11-7-7Fiche domicile16-6-2
11-9-4Fiche visiteur17-7-3
4-3-310 derniers matchs5-4-1
2.90Buts par match 3.25
2.90Buts contre par match 3.25
45.24%Pourcentage en avantage numérique32.93%
65.48%Pourcentage en désavantage numérique74.58%
Meneurs d'équipe
Buts
Juuso Parssinen
23
Passes
Juuso Parssinen
31
Points
Juuso Parssinen
54
Jeremy DaviesPlus/Moins
Jeremy Davies
20
Victoires
Matt Villalta
33
Pourcentage d’arrêts
Matt Villalta
0.92

Statistiques d’équipe
Buts pour
166
3.25 GFG
Tirs pour
1583
31.04 Avg
Pourcentage en avantage numérique
32.9%
27 GF
Début de zone offensive
35.3%
Buts contre
132
2.59 GAA
Tirs contre
1618
31.73 Avg
Pourcentage en désavantage numérique
74.6%%
15 GA
Début de la zone défensive
37.5%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,495
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure18
Limite contact 44 / 60
Espoirs25


Historique d'équipe

Saison actuelle33-13-5 (71PTS)
Historique117-64-22 (0.576%)
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 Parssinen0X100.00824694788271737475677464505051182670231850,833$
2Justin Bailey0X100.00825898798264696945706868255855184650291968,750$
3Michael Sgarbossa0X100.00725598796863716479676968596458180640322800,000$
4Waltteri Merela0X100.00844695777961775845566265645251180630261900,000$
5William Lockwood0X100.00876395856458656445606063255252181620262775,000$
6Chris Wagner0XX100.00875893757156606286606361256668181620331800,000$
7Jacob Lucchini0XX100.00685494746661645975606067575856181600291775,000$
8James Hamblin0XX100.00635499846157586482586165255051181600251807,500$
9Egor Afanasyev (R)0XX100.00695984727750776075616265644747181600231789,167$
10Anthony Richard0XX100.00635588706450796145625959505652181580281775,000$
11Rem Pitlick0XX100.006136907067507961456155576554511795702711,100,000$
12Hudson Elynuik0X100.00645787648150725475554656505249123550271775,000$
13Ethan Bear0X100.007042897368656768255651712559591376202722,578,125$
14Philippe Myers0X100.006859846382508050255543692554511805902711,400,000$
15Gustav Olofsson0X100.00623792607750754725533966256054181570302968,750$
16Adam Wilsby (R)0X100.00603692647250805225534764254848181560241842,500$
17Jeremy Davies0X100.00675781666450825625584859255652181560281775,000$
18Jack Matier (R)0X100.00573696587950574125443353244545181520213802,000$
Rayé
1Luke Evangelista0X100.00633995806869838025767558255250173670222797,500$
2Matt Luff0X100.00635687677450625845555858505249120560271775,000$
3Fedor Svechkov (R)0X100.003730936357577853404643533028293020470213925,000$
4Alex Campbell (R)0X100.003030995345423732303035423030323020380231750,000$
5Ryan Ufko (R)0X100.003030996550453734303831403029302946400211775,000$
MOYENNE D’ÉQUIPE100.0065489270695569574757546038515056758
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)0100.0069705574676765636375514849189650251968,750$
2Devin Cooley0100.0063525183605258576162625249182590271775,000$
Rayé
1Kyle Keyser (R)0100.0051474671454041404248504847124460251780,000$
MOYENNE D’ÉQUIPE100.006156517657535553556254494816557
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)C51233154517583801965910511.73%2494718.58410146600003413053.40%10284631101.1425010553
2Justin BaileyMilwaukee Admirals (NSH)RW51222749190082591773810012.43%1387017.074610954000016446.34%415522011.1313000451
3Chris WagnerMilwaukee Admirals (NSH)C/RW51182543192011280121307314.88%2388817.43167654000003055.04%6252320000.9705000553
4William LockwoodMilwaukee Admirals (NSH)RW511814327558853141468412.77%2278515.394376290000112134.09%443211000.8200010440
5Michael SgarbossaMilwaukee Admirals (NSH)C511217291055767312347939.76%2573614.44000000000411157.88%4063714000.7900010205
6James HamblinMilwaukee Admirals (NSH)C/LW5191827-375626413145816.87%1387517.17268559000071063.27%494417000.6211001023
7Anthony RichardMilwaukee Admirals (NSH)C/LW5110162619120755868287314.71%1584616.59000060002402040.74%272321000.6100000223
8Egor AfanasyevMilwaukee Admirals (NSH)C/LW511115268215855666214316.67%1678115.33325453000004060.00%251810000.6700100106
9Luke EvangelistaMilwaukee Admirals (NSH)RW3181725-540302272285511.11%939712.83257533000003042.11%192010001.2602000131
10Gustav OlofssonMilwaukee Admirals (NSH)D512141694069655921273.39%72127124.93213453000039000%0744000.2500000003
11Waltteri MerelaMilwaukee Admirals (NSH)C5111516-44011878104336710.58%2287517.1600000000002040.37%3222426000.3700000123
12Jacob LucchiniMilwaukee Admirals (NSH)C/RW5111415-820484386335012.79%1160911.94101160004443050.00%222612000.4900000210
13Adam WilsbyMilwaukee Admirals (NSH)D51213153204759227109.09%4689017.47235355000151000%0426000.3400000000
14Jeremy DaviesMilwaukee Admirals (NSH)D51013132037582625922220%56119023.34000348000031000%01235000.2200001000
15Rem PitlickMilwaukee Admirals (NSH)C/LW513811-511550366820454.41%1754910.7800001000010147.06%17188000.4000010000
16Philippe MyersMilwaukee Admirals (NSH)D51279151405647278187.41%4786616.99123164000042000%0220000.2100000000
17Jack MatierMilwaukee Admirals (NSH)D51077-40024482516180%4494718.590000300005000%0530000.1500000000
18Ethan BearMilwaukee Admirals (NSH)D21145-360282820875.00%1841919.97101216000015010%0416000.2400000000
19Ryan UfkoMilwaukee Admirals (NSH)D30022-40021918760%1555418.470000100001000%019000.0700000000
20Matt LuffMilwaukee Admirals (NSH)RW4000100000000%071.830000100000000%00000000000000
21Hudson ElynuikMilwaukee Admirals (NSH)C16000000000000%070.460000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne918163257420991533512171030158351797710.30%5081531816.69274471556020001037730852.42%2625401382110.55416142272931
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)51331350.9202.513056001281592892400.86715510740
2Devin CooleyMilwaukee Admirals (NSH)10000.9233.083900226150000051000
Statistiques d’équipe totales ou en moyenne52331350.9202.52309500130161890740155151740


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-------
Gustav OlofssonMilwaukee Admirals (NSH)D301994-12-31SWENo200 Lbs6 ft2NoNoFree AgentNoNo22024-09-01FalseFalsePro & Farm968,750$0$0$No968,750$--------968,750$--------No--------Lien / Lien NHL
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 AgentNoNo12024-08-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Justin BaileyMilwaukee Admirals (NSH)RW291995-12-31USANo214 Lbs6 ft4NoNoFree AgentNoNo12024-08-29FalseFalsePro & Farm968,750$0$0$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
2626.00190 Lbs6 ft11.35924,188$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1James HamblinJuuso ParssinenWaltteri Merela30122
2Anthony RichardChris WagnerJustin Bailey27122
3Egor AfanasyevMichael SgarbossaWilliam Lockwood23122
4Rem PitlickWaltteri MerelaJacob Lucchini20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan BearJack Matier30122
2Gustav OlofssonAdam Wilsby27122
3Jeremy DaviesPhilippe Myers23122
4Gustav OlofssonJeremy Davies20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1James HamblinJuuso ParssinenWilliam Lockwood50122
2Egor AfanasyevChris WagnerJustin Bailey50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremy DaviesPhilippe Myers50122
2Gustav OlofssonAdam Wilsby50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Juuso ParssinenAnthony Richard50122
2Michael SgarbossaJacob Lucchini50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gustav OlofssonJeremy Davies50122
2Philippe MyersAdam Wilsby50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Juuso Parssinen50122Jeremy DaviesGustav Olofsson50122
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
1Gustav OlofssonPhilippe Myers50122
2Jeremy DaviesAdam Wilsby50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
James HamblinJuuso ParssinenJustin BaileyPhilippe MyersGustav Olofsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
James HamblinJuuso ParssinenJustin BaileyPhilippe MyersGustav Olofsson
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, Gustav OlofssonAdam WilsbyAdam Wilsby, Gustav Olofsson
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, Jacob Lucchini, Anthony Richard
Lignes de défense personnalisées en prolongation
Philippe Myers, Gustav Olofsson, 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 Canucks1000000123-11000000123-10000000000010.50024600346459103142655058142246035100.00%000%048791153.46%51696953.25%37370253.13%10705901029481998496
2Bakersfield Condors11000000312110000003120000000000021.00034700346459102042655058142196025100.00%000%048791153.46%51696953.25%37370253.13%10705901029481998496
3Belleville Senators1010000035-2000000000001010000035-200.000369003464591021426550581423914918200.00%2150.00%048791153.46%51696953.25%37370253.13%10705901029481998496
4Bridgeport Islanders10000010431000000000001000001043121.000459003464591034426550581422314027300.00%000%048791153.46%51696953.25%37370253.13%10705901029481998496
5Calgary Wranglers11000000312110000003120000000000021.000347003464591026426550581423411035100.00%000%048791153.46%51696953.25%37370253.13%10705901029481998496
6Charlotte Checkers2010010059-41010000025-31000010034-110.250581300346459105242655058142822165333100.00%30100.00%048791153.46%51696953.25%37370253.13%10705901029481998496
7Chicago Wolves330000001248220000006241100000062461.00012203200346459107742655058142892210707342.86%50100.00%048791153.46%51696953.25%37370253.13%10705901029481998496
8Cleveland Monsters1010000024-2000000000001010000024-200.00024600346459102442655058142318222000%10100.00%048791153.46%51696953.25%37370253.13%10705901029481998496
9Coachella Valley Firebirds1010000014-31010000014-30000000000000.000123003464591025426550581423611926200.00%220.00%048791153.46%51696953.25%37370253.13%10705901029481998496
10Colorado Eagles33000000936110000004132200000052361.000913220034645910844265505814286324676116.67%2150.00%048791153.46%51696953.25%37370253.13%10705901029481998496
11Grand Rapids Griffins2000020057-21000010034-11000010023-120.50058130034645910574265505814267272385240.00%110.00%048791153.46%51696953.25%37370253.13%10705901029481998496
12Hartford Wolf Pack21001000743100010003211100000042241.00071017003464591069426550581426322255200.00%10100.00%048791153.46%51696953.25%37370253.13%10705901029481998496
13Henderson Silver Knights11000000716110000007160000000000021.000711180034645910364265505814231144203133.33%2150.00%048791153.46%51696953.25%37370253.13%10705901029481998496
14Hershey Bears1000000134-1000000000001000000134-110.500369003464591032426550581422514624100.00%30100.00%048791153.46%51696953.25%37370253.13%10705901029481998496
15Iowa Wild30201000912-32020000059-41000100043120.3339122100346459108442655058142127311257400.00%60100.00%048791153.46%51696953.25%37370253.13%10705901029481998496
16Laval Rocket21000010844110000005231000001032141.000811190034645910734265505814258228434250.00%40100.00%048791153.46%51696953.25%37370253.13%10705901029481998496
17Lehigh Valley Phantoms2110000056-1110000004131010000015-420.5005813003464591071426550581426122654000%3166.67%048791153.46%51696953.25%37370253.13%10705901029481998496
18Manitoba Moose330000001275110000003122200000096361.00012203200346459101164265505814272176784250.00%3166.67%048791153.46%51696953.25%37370253.13%10705901029481998496
19Providence Bruins1010000024-2000000000001010000024-200.00022400346459103142655058142231282311100.00%40100.00%048791153.46%51696953.25%37370253.13%10705901029481998496
20Rochester Americans10001000321100010003210000000000021.00035800346459102142655058142329427100.00%2150.00%048791153.46%51696953.25%37370253.13%10705901029481998496
21Rockford IceHogs11000000761000000000001100000076121.000713200034645910344265505814241150223266.67%000%048791153.46%51696953.25%37370253.13%10705901029481998496
22San Diego Gulls2020000046-21010000023-11010000023-100.000461000346459106742655058142872414473133.33%220.00%048791153.46%51696953.25%37370253.13%10705901029481998496
23San Jose Barracuda21001000725100010002111100000051441.000711180034645910514265505814255136537228.57%30100.00%048791153.46%51696953.25%37370253.13%10705901029481998496
24Springfield Thunderbirds2020000027-51010000012-11010000015-400.000246003464591084426550581427321545400.00%000%048791153.46%51696953.25%37370253.13%10705901029481998496
25Syracuse Crunch1010000013-2000000000001010000013-200.000123003464591027426550581423112216000%110.00%048791153.46%51696953.25%37370253.13%10705901029481998496
26Texas Stars2200000013672200000013670000000000041.00013193200346459106742655058142609124522100.00%10100.00%048791153.46%51696953.25%37370253.13%10705901029481998496
27Toronto Marlies21001000642110000002111000100043141.000681400346459105942655058142611565311100.00%3166.67%048791153.46%51696953.25%37370253.13%10705901029481998496
28Tucson Roadrunners22000000734000000000002200000073441.000711180034645910674265505814268302585240.00%110.00%048791153.46%51696953.25%37370253.13%10705901029481998496
29Utica Comets21000010633110000003121000001032141.00068140034645910644265505814251182424250.00%10100.00%048791153.46%51696953.25%37370253.13%10705901029481998496
30Wilkes-Barre Scranton Penguins21001000844000000000002100100084441.00081220003464591079426550581426916639200.00%3166.67%048791153.46%51696953.25%37370253.13%10705901029481998496
Total512413063321661323424136031017753242711703231897910710.696166257423003464591015834265505814216185081531217822732.93%591574.58%048791153.46%51696953.25%37370253.13%10705901029481998496
_Since Last GM Reset512413063321661323424136031017753242711703231897910710.696166257423003464591015834265505814216185081531217822732.93%591574.58%048791153.46%51696953.25%37370253.13%10705901029481998496
_Vs Conference2618502001965937159401001513318119101000452619410.7889615024600346459107854265505814282924179638491632.65%27870.37%048791153.46%51696953.25%37370253.13%10705901029481998496
_Vs Division91420100027189762000002014628001000743301.667274269003464591025642655058142286853324118422.22%9544.44%048791153.46%51696953.25%37370253.13%10705901029481998496

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5171W116625742315831618508153121700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5124136332166132
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2413631017753
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2711732318979
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
822732.93%591574.58%0
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
4265505814234645910
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
48791153.46%51696953.25%37370253.13%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10705901029481998496


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
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 Moose-Milwaukee Admirals-
111813Milwaukee Admirals-Ontario Reign-
113829Tucson Roadrunners-Milwaukee Admirals-
116854Providence Bruins-Milwaukee Admirals-
118871Milwaukee Admirals-Henderson Silver Knights-
121886Milwaukee Admirals-Abbotsford Canucks-
122895Hershey Bears-Milwaukee Admirals-
126922Laval Rocket-Milwaukee Admirals-
130945Rockford IceHogs-Milwaukee Admirals-
132959Milwaukee Admirals-Bakersfield Condors-
134978Cleveland Monsters-Milwaukee Admirals-
135987Milwaukee Admirals-Rockford IceHogs-
136994Milwaukee Admirals-Rochester Americans-
1401015Wilkes-Barre Scranton Penguins-Milwaukee Admirals-
1431038Syracuse Crunch-Milwaukee Admirals-
1461055Milwaukee Admirals-Coachella Valley Firebirds-
1491075Bridgeport Islanders-Milwaukee Admirals-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1511090Milwaukee Admirals-Texas Stars-
1531097Milwaukee Admirals-Calgary Wranglers-
1551115Belleville Senators-Milwaukee Admirals-
1601139Ontario Reign-Milwaukee Admirals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance36,63623,246
Assistance PCT76.33%96.86%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
12 2495 - 83.17% 95,697$2,296,720$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,912,010$ 2,402,887$ 2,402,887$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,580,754$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,148,360$ 55 17,809$ 979,495$




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 Richard1995673129259532021946911.94%78342117.19192948382021114242.31%10.75311
2Matt Luff152585711544920722644613.00%63302319.8923264941224169529.67%10.76413
3Egor Afanasyev1994065105151912942304199.55%63299015.031620363100037251.81%00.7028
4Cody Glass1144954103-47414116042811.45%44210718.491524393000018559.23%10.98913
5James Hamblin19941408121052262514768.61%44299015.03391212000210360.54%10.5412

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
1Alex Lyon72442530.9192.2942930216420251174110.88142
2Connor Ingram764026100.9142.41461383185215112421020.67634
3Matt Villalta51331350.9202.513056001281592892400.86715
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
202451241306332166132342413603101775324271170323189791071166257423003464591015834265505814216185081531217822732.93%591574.58%048791153.46%51696953.25%37370253.13%10705901029481998496
Total Saison régulière199886401281710566494729842330531052792354410146310757528725928252566906147235102223212375918157421162171145583018974635468945815734.28%41714764.75%61927381150.56%1857379848.89%1406277850.61%408921413976194740341988
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