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Milwaukee Admirals
GP: 7 | W: 1 | L: 6 | OTL: 0 | P: 2
GF: 19 | GA: 31 | PP%: 36.84% | PK%: 62.50%
DG: Patrick | Morale : 93 | Moyenne d’équipe : 56
Prochains matchs #116 vs Oklahoma City Barons
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Centre de jeu
Grand Rapids Griffins
3-3-0, 6pts
7
FINAL
5 Milwaukee Admirals
1-6-0, 2pts
Team Stats
W1SéquenceL6
1-2-0Fiche domicile1-2-0
2-1-0Fiche domicile0-4-0
3-3-0Derniers 10 matchs1-6-0
4.00Buts par match 2.71
4.33Buts contre par match 4.43
20.00%Pourcentage en avantage numérique36.84%
46.15%Pourcentage en désavantage numérique62.50%
Milwaukee Admirals
1-6-0, 2pts
1
FINAL
4 Manitoba Moose
3-1-1, 7pts
Team Stats
L6SéquenceW2
1-2-0Fiche domicile3-1-0
0-4-0Fiche domicile0-0-1
1-6-0Derniers 10 matchs3-1-1
2.71Buts par match 5.00
4.43Buts contre par match 3.40
36.84%Pourcentage en avantage numérique47.37%
62.50%Pourcentage en désavantage numérique70.00%
Oklahoma City Barons
1-3-2, 4pts
Jour 16
Milwaukee Admirals
1-6-0, 2pts
Statistiques d’équipe
SOL1SéquenceL6
1-1-1Fiche domicile1-2-0
0-2-1Fiche visiteur0-4-0
1-3-210 derniers matchs1-6-0
3.67Buts par match 2.71
5.00Buts contre par match 2.71
36.84%Pourcentage en avantage numérique36.84%
63.16%Pourcentage en désavantage numérique62.50%
Indianapolis Knights
5-1-1, 11pts
Jour 19
Milwaukee Admirals
1-6-0, 2pts
Statistiques d’équipe
L1SéquenceL6
2-0-1Fiche domicile1-2-0
3-1-0Fiche visiteur0-4-0
5-1-110 derniers matchs1-6-0
4.29Buts par match 2.71
3.71Buts contre par match 2.71
15.00%Pourcentage en avantage numérique36.84%
76.19%Pourcentage en désavantage numérique62.50%
Milwaukee Admirals
1-6-0, 2pts
Jour 22
Grand Rapids Griffins
3-3-0, 6pts
Statistiques d’équipe
L6SéquenceW1
1-2-0Fiche domicile1-2-0
0-4-0Fiche visiteur2-1-0
1-6-010 derniers matchs3-3-0
2.71Buts par match 4.00
4.43Buts contre par match 4.00
36.84%Pourcentage en avantage numérique20.00%
62.50%Pourcentage en désavantage numérique46.15%
Meneurs d'équipe
Trey Fix-WolanskyButs
Trey Fix-Wolansky
6
William LockwoodPasses
William Lockwood
5
William LockwoodPoints
William Lockwood
9
Mason GeertsenPlus/Moins
Mason Geertsen
2
Spencer MartinVictoires
Spencer Martin
1
Spencer MartinPourcentage d’arrêts
Spencer Martin
0.851

Statistiques d’équipe
Buts pour
19
2.71 GFG
Tirs pour
175
25.00 Avg
Pourcentage en avantage numérique
36.8%
7 GF
Début de zone offensive
36.6%
Buts contre
31
4.43 GAA
Tirs contre
215
30.71 Avg
Pourcentage en désavantage numérique
62.5%%
6 GA
Début de la zone défensive
36.1%
Informations de l'équipe

Directeur généralPatrick
EntraîneurJohn Gruden
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,862
Billets de saison750


Informations de la formation

Équipe Pro33
Équipe Mineure20
Limite contact 53 / 65
Espoirs38


Historique d'équipe

Saison actuelle1-6-0 (2PTS)
Historique126-159-33 (0.396%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)-
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
1Adam Edstrom0XX96.00835984789254686225585969255151072620251750,000$
2William Lockwood0X96.00869189696551606450596469624949072610271775,000$
3Jaroslav Chmelar (R)0XX100.00838480668480875650525667534444066600223850,000$
4Amadeus Lombardi (R)0X95.00726491666451476680626764644444072590222850,000$
5Nico Myatovic (R)0X100.007873906573737953504754635144440725702021,000,000$
6Lucas Ciona (R)0X100.00757869657876835150494861464444069560222750,000$
7Rem Pitlick0XXX100.007670896970413759746548644644440705602811,100,000$
8Ryan McGregor0XX100.00797198657147465265534664444444072540261775,000$
9Patrick Harper0XX100.00505050505050505050505050505050069480271750,000$
10Adam Wilsby0X100.00714391726975576225524881254646073640251750,000$
11Kevin Korchinski0X100.005740857769718765254548682555550726302121,500,000$
12Spencer Stastney0X100.00614194766769656025504778254950072630251750,000$
13Jordan Harris0X100.00694293716757556125504873256060072610251825,000$
14Ryan Ufko (R)0X100.00736493686481895225464361414444069600223900,000$
15Ty Smith0X100.00696675676660616125554965475959072600251750,000$
16Luke Prokop (R)0X100.00878493618452544525354066384444069570232950,000$
17Mason Geertsen0XX100.00748646648652534850474460424444072560301775,000$
Rayé
1Trey Fix-Wolansky0X94.00676572696577806650636661634444075620261775,000$
2Tyler Benson0XX100.00505050505050505050505050505050068480271750,000$
3Tanner Kaspick0X100.00505050505050505050505050505050068480271750,000$
4Collin Adams0XX100.00505050505050505050505050505050068480271750,000$
5Vitali Kravtsov0XX100.00505050505050505050505050505050068480251750,000$
6Victor Rask0XX100.00505050505050505050505050505050068480321750,000$
7Jack Rathbone0X100.00696676656672785025434258404444068570261800,000$
8Hardy Haman Aktell0X100.00767481667442415025473962374444068540272900,000$
9Artem Guryev (R)0X100.00708436658454574425324157394444068540222800,000$
10Victor Soderstrom0X100.00505050505050505050505050505050068480241750,000$
11Ryan Merkley0X100.00505050505050505050505050505050068480251750,000$
MOYENNE D’ÉQUIPE99.3267627263665860554350506144484807056
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
1Spencer Martin096.0059546878596162666363305252074610301750,000$
2Yaroslav Askarov (R)0100.00595453726552696065597545450745902311,500,000$
Rayé
1Ty Young (R)0100.0051405074545154575454304444072530213800,000$
2Daniil Chechelev (R)0100.0050505050505050505050505050072500241750,000$
3Callum Booth0100.0050505050505050505050505050072500281750,000$
MOYENNE D’ÉQUIPE99.205450546556535757565547484807355
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Gruden70776872787570USA551250,000$


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
1William LockwoodMilwaukee Admirals (NSH)RW7459-2004132041520.00%114120.18022012000190125.00%823001.2700000011
2Trey Fix-WolanskyMilwaukee Admirals (NSH)RW7628-67514841131414.63%616723.95314310000380023.53%1765010.9500100002
3Adam EdstromMilwaukee Admirals (NSH)C/RW7437-2201372032020.00%614520.75112212000081038.00%10065000.9600000100
4Juuso ParssinenNashville PredatorsC/LW/RW4235-42064136615.38%29223.1411216000160045.68%8122001.0800000000
5Nico MyatovicMilwaukee Admirals (NSH)LW7134-3001312102410.00%313319.11101312000010066.67%601000.6000000001
6Jaroslav ChmelarMilwaukee Admirals (NSH)LW/RW7033-1121016105040%311015.72022011000030028.57%1402000.5500020000
7Jordan HarrisMilwaukee Admirals (NSH)D7022-920149410%1113519.3801101100009000%047000.2900000000
8Amadeus LombardiMilwaukee Admirals (NSH)C7022-900118134130%112618.1401115000000054.70%11720000.3200000000
9Spencer StastneyMilwaukee Admirals (NSH)D7022-900585230%1213419.18011011000010000%001000.3000000000
10Adam WilsbyMilwaukee Admirals (NSH)D7112-117551111339.09%613118.7710141400008000%000000.3000001000
11Ryan UfkoMilwaukee Admirals (NSH)D7011-5951123110%110414.890000000001000%003000.1900010000
12Kevin KorchinskiMilwaukee Admirals (NSH)D70110001125510%613819.8000011400009000%023000.1400000000
13Lucas CionaMilwaukee Admirals (NSH)LW7011-395975360%210114.4900000000020050.00%622000.2000010000
14Mason GeertsenMilwaukee Admirals (NSH)LW/D7011220261000%2608.620000000000000%101000.3300000000
15Ryan McGregorMilwaukee Admirals (NSH)C/LW7101-30071050520.00%18912.7200000000000063.33%3010000.2200000000
16Ty SmithMilwaukee Admirals (NSH)D7000-460921110%59313.380000000000000%01100000000000
17Rem PitlickMilwaukee Admirals (NSH)C/LW/RW7000-72410958190%210615.2000001000000028.57%72300000011000
18Luke ProkopMilwaukee Admirals (NSH)D7000155220010%1598.520000000000000%00100000010000
19Patrick HarperMilwaukee Admirals (NSH)C/LW3000000000000%062.170000000000000%10000000000000
Statistiques d’équipe totales ou en moyenne126193049-6597451381311755210710.86%71207816.5071017151250005821145.62%3883040010.4700162114
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
1Spencer MartinMilwaukee Admirals (NSH)71600.8514.933650030201104000070000
2Yaroslav AskarovMilwaukee Admirals (NSH)30000.9291.11540011410000007000
Statistiques d’équipe totales ou en moyenne101600.8564.43420003121511400077000


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 EdstromMilwaukee Admirals (NSH)C/RW252000-10-12SWENo241 Lbs6 ft7NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$69,922$No---------------------------Lien / Lien NHL
Adam WilsbyMilwaukee Admirals (NSH)D252000-08-07SWENo188 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$69,922$No---------------------------Lien / Lien NHL
Amadeus LombardiMilwaukee Admirals (NSH)C222003-06-05CANYes178 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm850,000$85,000$79,245$No850,000$--------850,000$--------No--------Lien / Lien NHL
Artem GuryevMilwaukee Admirals (NSH)D222003-05-17RUSYes225 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm800,000$80,000$74,583$No800,000$--------800,000$--------No--------Lien / Lien NHL
Callum BoothMilwaukee Admirals (NSH)G281997-05-21CANNo184 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$69,922$No---------------------------Lien / Lien NHL
Collin AdamsMilwaukee Admirals (NSH)C/LW271998-04-24USANo172 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$69,922$No---------------------------Lien / Lien NHL
Daniil ChechelevMilwaukee Admirals (NSH)G242001-02-23RUSYes187 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$69,922$No---------------------------Lien / Lien NHL
Hardy Haman AktellMilwaukee Admirals (NSH)D271998-07-04SWENo198 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm900,000$90,000$83,906$No900,000$--------900,000$--------No--------Lien / Lien NHL
Jack RathboneMilwaukee Admirals (NSH)D261999-05-20USANo185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm800,000$80,000$74,583$No---------------------------Lien / Lien NHL
Jaroslav ChmelarMilwaukee Admirals (NSH)LW/RW222003-07-20CZEYes220 Lbs6 ft5NoNoN/ANoNo3FalseFalsePro & Farm850,000$85,000$79,245$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien / Lien NHL
Jordan HarrisMilwaukee Admirals (NSH)D252000-07-07USANo187 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm825,000$82,500$76,914$No---------------------------Lien / Lien NHL
Kevin KorchinskiMilwaukee Admirals (NSH)D212004-06-21CANNo185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$150,000$139,844$No1,500,000$--------1,500,000$--------No--------Lien / Lien NHL
Lucas CionaMilwaukee Admirals (NSH)LW222003-01-08CANYes210 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm750,000$75,000$69,922$No750,000$--------750,000$--------No--------Lien / Lien NHL
Luke ProkopMilwaukee Admirals (NSH)D232002-05-06CANYes223 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm950,000$95,000$88,568$No950,000$--------950,000$--------No--------Lien / Lien NHL
Mason GeertsenMilwaukee Admirals (NSH)LW/D301995-04-19CANNo231 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm775,000$77,500$72,253$No---------------------------Lien / Lien NHL
Nico MyatovicMilwaukee Admirals (NSH)LW202004-12-01CANYes199 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$100,000$93,229$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Patrick HarperMilwaukee Admirals (NSH)C/LW271998-07-29USANo150 Lbs5 ft7NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$69,922$No---------------------------Lien / Lien NHL
Rem PitlickMilwaukee Admirals (NSH)C/LW/RW281997-04-02CANNo196 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$110,000$102,552$No---------------------------Lien / Lien NHL
Ryan McGregorMilwaukee Admirals (NSH)C/LW261999-01-29CANNo195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm775,000$77,500$72,253$No---------------------------Lien / Lien NHL
Ryan MerkleyMilwaukee Admirals (NSH)D252000-08-14CANNo168 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$69,922$No---------------------------Lien / Lien NHL
Ryan UfkoMilwaukee Admirals (NSH)D222003-05-07USAYes174 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm900,000$90,000$83,906$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien / Lien NHL
Spencer MartinMilwaukee Admirals (NSH)G301995-06-08CANNo191 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$69,922$No---------------------------Lien / Lien NHL
Spencer StastneyMilwaukee Admirals (NSH)D252000-01-04USANo184 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$69,922$No---------------------------Lien / Lien NHL
Tanner KaspickMilwaukee Admirals (NSH)C271998-01-28CANNo205 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$69,922$No---------------------------Lien / Lien NHL
Trey Fix-WolanskyMilwaukee Admirals (NSH)RW261999-05-26CANNo193 Lbs5 ft7NoNoN/ANoNo1FalseFalsePro & Farm775,000$77,500$72,253$No---------------------------Lien / Lien NHL
Ty SmithMilwaukee Admirals (NSH)D252000-03-24CANNo180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$69,922$No---------------------------Lien / Lien NHL
Ty YoungMilwaukee Admirals (NSH)G212004-09-11CANYes183 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm800,000$80,000$74,583$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien / Lien NHL
Tyler BensonMilwaukee Admirals (NSH)LW/RW271998-03-15CANNo201 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$69,922$No---------------------------Lien / Lien NHL
Victor RaskMilwaukee Admirals (NSH)C/LW321993-03-01SWENo195 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$69,922$No---------------------------Lien / Lien NHL
Victor SoderstromMilwaukee Admirals (NSH)D242001-02-26SWENo183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$69,922$No---------------------------Lien / Lien NHL
Vitali KravtsovMilwaukee Admirals (NSH)LW/RW251999-12-23RUSNo189 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$69,922$No---------------------------Lien / Lien NHL
William LockwoodMilwaukee Admirals (NSH)RW271998-06-20USANo172 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm775,000$77,500$72,253$No---------------------------Lien / Lien NHL
Yaroslav AskarovMilwaukee Admirals (NSH)G232002-06-16RUSYes178 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$150,000$139,844$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3325.12192 Lbs6 ft11.39844,697$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jaroslav ChmelarAmadeus Lombardi30122
2Nico MyatovicAdam EdstromWilliam Lockwood30122
3Rem PitlickAmadeus Lombardi25122
4Lucas CionaRyan McGregor15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam WilsbyKevin Korchinski30122
2Spencer StastneyJordan Harris30122
3Ty SmithRyan Ufko25122
4Luke ProkopMason Geertsen15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jaroslav ChmelarAmadeus Lombardi50122
2Nico MyatovicAdam EdstromWilliam Lockwood50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam WilsbyKevin Korchinski50122
2Spencer StastneyJordan Harris50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jaroslav Chmelar50122
2Adam EdstromWilliam Lockwood50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam WilsbyKevin Korchinski50122
2Spencer StastneyJordan Harris50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Adam Edstrom50122Adam WilsbyKevin Korchinski50122
250122Spencer StastneyJordan Harris50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jaroslav Chmelar50122
2Adam EdstromWilliam Lockwood50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam WilsbyKevin Korchinski50122
2Spencer StastneyJordan Harris50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jaroslav ChmelarAdam EdstromAdam WilsbyKevin Korchinski
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jaroslav ChmelarAdam EdstromAdam WilsbyKevin Korchinski
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Amadeus Lombardi, Rem Pitlick, Lucas CionaAmadeus Lombardi, Rem PitlickLucas Ciona
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ty Smith, Ryan Ufko, Luke ProkopTy SmithRyan Ufko, Luke Prokop
Tirs de pénalité
Amadeus Lombardi, , Adam Edstrom, William Lockwood, Jaroslav Chmelar
Gardien
#1 : Spencer Martin, #2 : Yaroslav Askarov


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
1Grand Rapids Griffins1010000057-21010000057-20000000000000.00059140021070234769590321014174375.00%2150.00%06614246.48%5514039.29%5610652.83%129551346915579
2Green Bay Lumberjacks11000000422110000004220000000000021.00046100021070194769590271021164125.00%30100.00%06614246.48%5514039.29%5610652.83%129551346915579
3Indianapolis Knights1010000025-31010000025-30000000000000.0002460021070204769590207920100.00%220.00%06614246.48%5514039.29%5610652.83%129551346915579
4Manitoba Moose1010000014-3000000000001010000014-300.0001230021070314769590541838182150.00%4250.00%06614246.48%5514039.29%5610652.83%129551346915579
5Oklahoma City Barons1010000036-3000000000001010000036-300.00034700210702947695903199244125.00%20100.00%06614246.48%5514039.29%5610652.83%129551346915579
6Utica Comets2020000047-3000000000002020000047-300.000459002107053476959051176434125.00%3166.67%06614246.48%5514039.29%5610652.83%129551346915579
Total716000001931-12312000001114-340400000817-920.14319304900210701754769590215719713819736.84%16662.50%06614246.48%5514039.29%5610652.83%129551346915579
_Since Last GM Reset716000001931-12312000001114-340400000817-920.14319304900210701754769590215719713819736.84%16662.50%06614246.48%5514039.29%5610652.83%129551346915579
_Vs Conference716000001931-12312000001114-340400000817-920.14319304900210701754769590215719713819736.84%16662.50%06614246.48%5514039.29%5610652.83%129551346915579
_Vs Division1160000057-21120000057-20040000000021.00059140021070234769590321014174375.00%2150.00%06614246.48%5514039.29%5610652.83%129551346915579

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
72L6193049175215719713800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
71600001931
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31200001114
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4040000817
Derniers 10 matchs
WLOTWOTL SOWSOL
160000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
19736.84%16662.50%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
476959021070
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
6614246.48%5514039.29%5610652.83%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
129551346915579


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
27Green Bay Lumberjacks2Milwaukee Admirals4WSommaire du match
320Milwaukee Admirals2Utica Comets4LSommaire du match
635Milwaukee Admirals3Oklahoma City Barons6LSommaire du match
853Indianapolis Knights5Milwaukee Admirals2LSommaire du match
1069Milwaukee Admirals2Utica Comets3LSommaire du match
1283Grand Rapids Griffins7Milwaukee Admirals5LSommaire du match
1395Milwaukee Admirals1Manitoba Moose4LSommaire du match
16116Oklahoma City Barons-Milwaukee Admirals-
19138Indianapolis Knights-Milwaukee Admirals-
22164Milwaukee Admirals-Grand Rapids Griffins-
23171Milwaukee Admirals-Green Bay Lumberjacks-
26184Minnesota Duluth Lakers-Milwaukee Admirals-
28202Green Bay Lumberjacks-Milwaukee Admirals-
31225Milwaukee Admirals-Grand Rapids Griffins-
32235Oklahoma City Barons-Milwaukee Admirals-
35256Milwaukee Admirals-Indianapolis Knights-
37270Grand Rapids Griffins-Milwaukee Admirals-
39284Milwaukee Admirals-Laval Rocket-
41294Milwaukee Admirals-Mississauga Wolves-
43310Utica Comets-Milwaukee Admirals-
45322Milwaukee Admirals-Oklahoma City Barons-
47339Utica Comets-Milwaukee Admirals-
49357Milwaukee Admirals-Henderson Silver Knights-
51371Manitoba Moose-Milwaukee Admirals-
53392Milwaukee Admirals-Oklahoma City Barons-
54399Milwaukee Admirals-Minnesota Duluth Lakers-
56413Oklahoma City Barons-Milwaukee Admirals-
59434Milwaukee Admirals-Springfield Bulldogs-
60443Alberta Fire-Milwaukee Admirals-
63460Milwaukee Admirals-Cape Breton Roaring Moose-
64473Tucson Roadrunners-Milwaukee Admirals-
67495Florida Everblades-Milwaukee Admirals-
69508Milwaukee Admirals-Providence Bruins-
71528Henderson Silver Knights-Milwaukee Admirals-
73542Milwaukee Admirals-Indianapolis Knights-
75558Milwaukee Admirals-Charlestown Chiefs-
77570Providence Bruins-Milwaukee Admirals-
79586Milwaukee Admirals-Utica Comets-
81601San Antonio Rampage-Milwaukee Admirals-
83621Milwaukee Admirals-Grand Rapids Griffins-
85633Phoenix Coyotes-Milwaukee Admirals-
87648Milwaukee Admirals-Florida Everblades-
88663Salt Lake City Lynx-Milwaukee Admirals-
91678Milwaukee Admirals-Portland Wild Cats-
93696Milwaukee Admirals-Hartford Wolf Pack-
94704Hershey Bears-Milwaukee Admirals-
97728Hartford Wolf Pack-Milwaukee Admirals-
100751Indianapolis Knights-Milwaukee Admirals-
103772Milwaukee Admirals-Seattle Thunderbirds-
105787Capital District Islanders-Milwaukee Admirals-
108805Milwaukee Admirals-Manitoba Moose-
110818Green Bay Lumberjacks-Milwaukee Admirals-
112840Milwaukee Admirals-Flint Admirals-
114850Springfield Bulldogs-Milwaukee Admirals-
116865Milwaukee Admirals-Capital District Islanders-
117881Laval Rocket-Milwaukee Admirals-
120902Milwaukee Admirals-Phoenix Coyotes-
122914Minnesota Duluth Lakers-Milwaukee Admirals-
126940Minnesota Duluth Lakers-Milwaukee Admirals-
128954Milwaukee Admirals-Minnesota Duluth Lakers-
130973Naples Stingrays-Milwaukee Admirals-
133991Milwaukee Admirals-Indianapolis Knights-
1351004Charlestown Chiefs-Milwaukee Admirals-
1371019Milwaukee Admirals-Alberta Fire-
1391034Utica Comets-Milwaukee Admirals-
1401042Milwaukee Admirals-Utica Comets-
1431059Milwaukee Admirals-Hershey Bears-
1441072Cape Breton Roaring Moose-Milwaukee Admirals-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1501100Mississauga Wolves-Milwaukee Admirals-
1511111Milwaukee Admirals-Minnesota Duluth Lakers-
1531127Milwaukee Admirals-Manitoba Moose-
1551136Manitoba Moose-Milwaukee Admirals-
1591164Manitoba Moose-Milwaukee Admirals-
1611178Milwaukee Admirals-Texas Stars-
1631195Charlotte Checkers-Milwaukee Admirals-
1651213Milwaukee Admirals-Naples Stingrays-
1681227Flint Admirals-Milwaukee Admirals-
1691231Milwaukee Admirals-Charlotte Checkers-
1721257San Diego Gulls-Milwaukee Admirals-
1751272Milwaukee Admirals-Tucson Roadrunners-
1771286Milwaukee Admirals-Green Bay Lumberjacks-
1801296Grand Rapids Griffins-Milwaukee Admirals-
1871323Tofino Whalers-Milwaukee Admirals-
1911343Milwaukee Admirals-Green Bay Lumberjacks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance5,9832,604
Assistance PCT99.72%86.80%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 2862 - 95.41% 135,987$407,960$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
209,179$ 2,787,500$ 2,787,500$ 250,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
2,787,500$ 209,179$ 33 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,303,480$ 179 15,820$ 2,831,780$




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
1Tyler Benson29688111199-2426842246756915.47%117550518.60253964481012217839.22%30.72419
2Vitaly Kravtsov2706477141-291930837944914.25%93456216.9013344743011117330.24%10.6225
3Rasmus Kupari2455565120-5513629841744112.47%94419717.1310142432224134749.80%00.57410
4Emil Heineman148455499-4315918024133013.64%83284019.192021414710163242.26%20.7018
5Trey Fix-Wolansky155375188-2810625821928612.94%56275817.801616322900045240.83%20.6414

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
1Callum Booth96315140.8782.9452072825520881304560.89237
2Mads Sogaard58282360.8932.953441221691586888230.58817
3Spencer Martin64233370.8782.863670041751430862210.64531
4Janne Juvonen55182660.8663.222997051611199729210.62516
5Yaroslav Askarov39161440.9152.3520470480940535420.69226

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
202076203606464176216-403810200411274100-2638101602352102116-147217626343914314588211446372446613511833580105218371514731.13%1564869.23%1526107448.98%537117545.70%43989649.00%134053515108261769877
202276263602435212243-3138131801312103124-2138131801123109119-10712123325444741828410148233653159745178865273717381826133.52%1566359.62%8496111644.44%507116743.44%40894743.08%136455914858081759880
202376204402262154225-713814200112087104-17386240114267121-54601542413952727586110127930649347633195665386513151525032.89%1617155.90%246198646.75%543127542.59%34681942.25%127046715258201808918
202478183708384182242-6039111707121108122-14397200126374120-467518227846064415966211636372643582782214678132111931565736.54%1947660.82%1544116046.90%648144644.81%46094148.88%134952915638441843926
2025716000001931-12312000001114-340400000817-9219304900210701754769590215719713819736.84%16662.50%06614246.48%5514039.29%5610652.83%129551346915579
Total Saison régulière31385159018132315743957-2141564977013665383464-8115736820571710360493-133280743114418871322142254306626018143321822327207800626344072622166022233.64%68326461.35%122093447846.74%2290520344.01%1709370946.08%545521466219336973363682
Séries éliminatoires
Total Séries éliminatoires00000000000000%0%0%0%0%000000

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