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Milwaukee Admirals
GP: 3 | W: 2 | L: 1 | OTL: 0 | P: 4
GF: 7 | GA: 9 | PP%: 66.67% | PK%: 50.00%
DG: Dylan Rodrigues | Morale : 51 | Moyenne d’équipe : 61
Prochains matchs #66 vs Bakersfield Condors

Centre de jeu
Belleville Senators
2-2-0, 4pts
2
FINAL
3 Milwaukee Admirals
2-1-0, 4pts
Team Stats
W1SéquenceW2
0-1-0Fiche domicile1-1-0
2-1-0Fiche domicile1-0-0
2-2-0Derniers 10 matchs2-1-0
2.75Buts par match 2.33
2.75Buts contre par match 3.00
75.00%Pourcentage en avantage numérique66.67%
50.00%Pourcentage en désavantage numérique50.00%
Milwaukee Admirals
2-1-0, 4pts
3
FINAL
2 Grand Rapids Griffins
0-4-0, 0pts
Team Stats
W2SéquenceL4
1-1-0Fiche domicile0-2-0
1-0-0Fiche domicile0-2-0
2-1-0Derniers 10 matchs0-4-0
2.33Buts par match 2.00
3.00Buts contre par match 5.00
66.67%Pourcentage en avantage numérique42.86%
50.00%Pourcentage en désavantage numérique50.00%
Bakersfield Condors
1-3-0, 2pts
Jour 6
Milwaukee Admirals
2-1-0, 4pts
Statistiques d’équipe
L1SéquenceW2
1-1-0Fiche domicile1-1-0
0-2-0Fiche visiteur1-0-0
1-3-010 derniers matchs2-1-0
2.00Buts par match 2.33
3.25Buts contre par match 2.33
0.00%Pourcentage en avantage numérique66.67%
50.00%Pourcentage en désavantage numérique50.00%
Milwaukee Admirals
2-1-0, 4pts
Jour 10
Springfield Thunderbirds
4-0-1, 9pts
Statistiques d’équipe
W2SéquenceW1
1-1-0Fiche domicile1-0-0
1-0-0Fiche visiteur3-0-1
2-1-010 derniers matchs4-0-1
2.33Buts par match 3.40
3.00Buts contre par match 3.40
66.67%Pourcentage en avantage numérique66.67%
50.00%Pourcentage en désavantage numérique85.71%
Belleville Senators
2-2-0, 4pts
Jour 11
Milwaukee Admirals
2-1-0, 4pts
Statistiques d’équipe
W1SéquenceW2
0-1-0Fiche domicile1-1-0
2-1-0Fiche visiteur1-0-0
2-2-010 derniers matchs2-1-0
2.75Buts par match 2.33
2.75Buts contre par match 2.33
75.00%Pourcentage en avantage numérique66.67%
50.00%Pourcentage en désavantage numérique50.00%
Meneurs d'équipe
Tanner PearsonButs
Tanner Pearson
3
Alec MartinezPasses
Alec Martinez
3
Alec MartinezPoints
Alec Martinez
3
Plus/Moins
Chris Terry
1
Martin JonesVictoires
Martin Jones
2
Martin JonesPourcentage d’arrêts
Martin Jones
0.895

Statistiques d’équipe
Buts pour
7
2.33 GFG
Tirs pour
101
33.67 Avg
Pourcentage en avantage numérique
66.7%
2 GF
Début de zone offensive
36.5%
Buts contre
9
3.00 GAA
Tirs contre
86
28.67 Avg
Pourcentage en désavantage numérique
50.0%%
3 GA
Début de la zone défensive
40.1%
Informations de l'équipe

Directeur généralDylan Rodrigues
DivisionMidwest Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison1,650


Informations de la formation

Équipe Pro35
Équipe Mineure19
Limite contact 54 / 65
Espoirs22


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
1Tanner Pearson70X100.005743897878756556556159646876770586603221,250,000$
2Devin Shore94XX100.00483594768065605058534961636868057610302800,000$
3Oliver Wahlstrom (R)26X100.005535937778716052555755626645590576102411,000,000$
4Collin Adams (R)0X100.00466657577461675650686354405252058600261800,000$
5Connor Bunnaman (R)0X100.00645266656665646256535859625350057600261775,000$
6Cooper Marody0XXX100.006069466262616665636840564260600575902841,100,000$
7Chris Terry0XX100.00357553497055676441574958608888057590362775,000$
8Frederik Gauthier0X100.00694157557148565242646747446464057590292775,000$
9Logan Brown0X100.006364516663656456405366555752520545902742,750,000$
10Filip Cederqvist (R)0X100.006637596765645051446166634345450575902442,750,000$
11Jaden Lipinski (R)0X100.00646066636260705252655943424545057570201775,000$
12Dylan Roobroeck (R)0XX100.00707845465850565952544169414545054540202850,000$
13Alec Martinez25X100.005235968079886668406858736296930547403721,500,000$
14Urho Vaakanainen (R)6X100.005635898076858263406451825848670547302611,100,000$
15Ryan Shea46X100.00513597767274605040514962535666057630281775,000$
16Aaron Irving (R)0X100.00474653686554466740545867566464057620291775,000$
17Xavier Bernard (R)0X100.00594062706460555743656759504545057610251775,000$
18Roland McKeown0X100.006952504964505960555967614260600576002931,500,001$
19Brett Lernout0X100.00513960696561516242457057556464057600293800,000$
Rayé
1Rocco Grimaldi91X100.00376945487353565863585748437272052570322775,000$
2Liam Kirk (R)0X100.00477359585145695958476066414545052560251813,333$
3Patrick Moynihan (R)0X100.00627147616452526544506141424545052550241775,000$
4Karson Kuhlman0XX100.00384361666648615644424749506464052540293775,000$
5Brendan Smith0XX100.006755758077827660406257825988860497603642,250,000$
6Kenton Helgsen0XX100.00426853686158505246705553446868052590312775,000$
7Gustav Olofsson41X100.00403599767480605040413850496875052590303775,000$
8Jacob Leguerrier (R)0X100.00587257696749706364616542474848052590241775,000$
9Calle Rosen48X100.00403591777075605040483850496873052590313775,000$
10Colton White0X100.004942577062534751656442614156560525802741,250,000$
11Nick Leivermann (R)0X100.007379586364604961506358425945450525702641,500,000$
12Zachary Uens (R)0X100.00566448506556705141576148404545052540231859,167$
13Alex Kannok-Leipert (R)0X100.00444255586864575061464147464545052520241775,000$
MOYENNE D’ÉQUIPE100.0054536566686261574957555750596005560
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
1Martin Jones0100.00857381898282848385847980720588203542,750,000$
2Pheonix Copley0100.00796574917382787777806974550587703342,750,000$
Rayé
1Garret Sparks0100.0049596351566349527070646460054590313775,000$
MOYENNE D’ÉQUIPE100.007166737770767071777871736205773
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Alec MartinezMilwaukee Admirals (NSH)D3033-1001514680%58127.230110100014000%046000.7300000010
2Tanner PearsonMilwaukee Admirals (NSH)LW3303-27564194715.79%37123.9010122000041038.46%1351010.8400001100
3Connor BunnamanMilwaukee Admirals (NSH)C31231008782312.50%15117.3201100000001048.65%3712001.1500000100
4Chris TerryMilwaukee Admirals (NSH)LW/RW32021206375528.57%05217.4610110000000066.67%300000.7600000001
5Collin AdamsMilwaukee Admirals (NSH)LW30221751026660%15117.120110000001000%131000.7800001010
6Cooper MarodyMilwaukee Admirals (NSH)C/LW/RW3011000536440%04314.6100000000010050.00%210000.4600000000
7Frederik GauthierMilwaukee Admirals (NSH)C3011000301020%0217.2700000000000042.86%701000.9200000000
8Devin ShoreMilwaukee Admirals (NSH)C/RW3011-200476150%06020.1901102000140055.56%7210000.3300000000
9Logan BrownMilwaukee Admirals (NSH)C31010552251120.00%14414.7200000000020050.00%2200000.4500010000
10Xavier BernardMilwaukee Admirals (NSH)D3011-100001100%03712.660000000000000%021000.5300000000
11Ryan SheaMilwaukee Admirals (NSH)D3011100012140%15719.320000100003000%000000.3500000000
12Aaron IrvingMilwaukee Admirals (NSH)D3011120124120%45719.080000100002000%011000.3500000000
13Roland McKeownMilwaukee Admirals (NSH)D3000-120322030%14013.630000000001000%00100000000000
14Filip CederqvistMilwaukee Admirals (NSH)LW30000001105220%24214.230000000000000%20300000000000
15Urho VaakanainenMilwaukee Admirals (NSH)D3000-120373130%66822.780000100004000%01100000000000
16Brett LernoutMilwaukee Admirals (NSH)D3000000202010%0165.410000000000000%00000000000000
17Jaden LipinskiMilwaukee Admirals (NSH)C3000000210210%0134.4300000000000060.00%50000000000000
18Dylan RoobroeckMilwaukee Admirals (NSH)C/LW3000055502000%0206.820000000000000%00100000010000
19Oliver WahlstromMilwaukee Admirals (NSH)RW3000-200728370%15719.1900002000010066.67%31100000000000
Statistiques d’équipe totales ou en moyenne5771320-53220794810140646.93%2689215.652463140002302050.90%1672020010.4500022221
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
1Martin JonesMilwaukee Admirals (NSH)32100.8953.001800098644000030000
Statistiques d’équipe totales ou en moyenne32100.8953.00180009864400030000


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
Aaron IrvingMilwaukee Admirals (NSH)D291996-03-03CANYes198 Lbs6 ft1NoNoProspectNoNo12025-03-16FalseFalsePro & Farm775,000$0$0$No---------------------------
Alec MartinezMilwaukee Admirals (NSH)D371987-07-26USANo210 Lbs6 ft1NoNoTrade2024-04-05NoNo22024-01-28FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien / Lien NHL
Alex Kannok-LeipertMilwaukee Admirals (NSH)D242000-07-20THAYes201 Lbs6 ft0NoNoProspectNoNo12025-03-14FalseFalsePro & Farm775,000$0$0$No---------------------------
Brendan SmithMilwaukee Admirals (NSH)LW/D361989-02-08CANNo200 Lbs6 ft2NoNoFree AgentNoNo42025-03-23FalseFalsePro & Farm2,250,000$0$0$No2,250,000$2,250,000$2,250,000$------2,250,000$2,250,000$2,250,000$------NoNoNo------Lien / Lien NHL
Brett LernoutMilwaukee Admirals (NSH)D291995-09-24CANNo214 Lbs6 ft4NoNoTrade2024-08-10NoNo32024-08-05FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Calle RosenMilwaukee Admirals (NSH)D311994-02-02SWENo188 Lbs6 ft1NoNoAssign ManuallyNoNo32024-07-28FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien / Lien NHL
Chris TerryMilwaukee Admirals (NSH)LW/RW361989-04-07CANNo195 Lbs5 ft10NoNoFree AgentNoNo22024-02-06FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Collin AdamsMilwaukee Admirals (NSH)LW261998-04-24USAYes200 Lbs5 ft9NoNoN/ANoNo12025-03-14FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Colton WhiteMilwaukee Admirals (NSH)D271997-05-03CANNo187 Lbs6 ft1NoNoFree AgentNoNo42025-03-23FalseFalsePro & Farm1,250,000$0$0$No1,250,000$1,250,000$1,250,000$------1,250,000$1,250,000$1,250,000$------NoNoNo------Lien / Lien NHL
Connor BunnamanMilwaukee Admirals (NSH)C261998-04-16CANYes207 Lbs6 ft1NoNoN/ANoNo12025-03-14FalseFalsePro & Farm775,000$0$0$No---------------------------
Cooper MarodyMilwaukee Admirals (NSH)C/LW/RW281996-12-20USANo184 Lbs6 ft0NoNoFree AgentNoNo42025-03-23FalseFalsePro & Farm1,100,000$0$0$No1,100,000$1,100,000$1,100,000$------1,100,000$1,100,000$1,100,000$------NoNoNo------Lien
Devin ShoreMilwaukee Admirals (NSH)C/RW301994-07-19CANNo206 Lbs6 ft1NoNoFree AgentNoNo22024-01-28FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Dylan RoobroeckMilwaukee Admirals (NSH)C/LW202004-07-27CANYes205 Lbs6 ft7NoNoProspectNoNo22025-03-16FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien
Filip CederqvistMilwaukee Admirals (NSH)LW242000-08-23SWEYes208 Lbs6 ft3NoNoFree AgentNoNo42025-03-29FalseFalsePro & Farm2,750,000$0$0$No2,750,000$2,750,000$2,750,000$------2,750,000$2,750,000$2,750,000$------NoNoNo------
Frederik GauthierMilwaukee Admirals (NSH)C291995-04-26CANNo239 Lbs6 ft5NoNoFree AgentNoNo22024-02-06FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Garret SparksMilwaukee Admirals (NSH)G311993-06-28USANo220 Lbs6 ft3NoNoFree Agent2024-02-10NoNo32024-08-08FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Gustav OlofssonMilwaukee Admirals (NSH)D301994-12-01SWENo199 Lbs6 ft2NoNoAssign ManuallyNoNo32024-07-28FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien / Lien NHL
Jacob LeguerrierMilwaukee Admirals (NSH)D242000-11-22CANYes203 Lbs6 ft1NoNoProspectNoNo12025-03-16FalseFalsePro & Farm775,000$0$0$No---------------------------
Jaden LipinskiMilwaukee Admirals (NSH)C202004-12-02USAYes205 Lbs6 ft4NoNoProspectNoNo12025-03-14FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Karson KuhlmanMilwaukee Admirals (NSH)C/RW291995-09-26USANo184 Lbs5 ft10NoNoAssign ManuallyNoNo32024-07-28FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien / Lien NHL
Kenton HelgsenMilwaukee Admirals (NSH)LW/D311994-03-19CANNo194 Lbs6 ft3NoNoFree AgentNoNo22024-02-06FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Liam KirkMilwaukee Admirals (NSH)LW252000-01-03GBRYes156 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm813,333$0$0$No---------------------------Lien
Logan BrownMilwaukee Admirals (NSH)C271998-03-05USANo218 Lbs6 ft6NoNoFree AgentNoNo42025-03-29FalseFalsePro & Farm2,750,000$0$0$No2,750,000$2,750,000$2,750,000$------2,750,000$2,750,000$2,750,000$------NoNoNo------Lien / Lien NHL
Martin JonesMilwaukee Admirals (NSH)G351990-01-10CANNo190 Lbs6 ft4NoNoFree Agent2024-01-29NoNo42025-03-29FalseFalsePro & Farm2,750,000$0$0$No2,750,000$2,750,000$2,750,000$------2,750,000$2,750,000$2,750,000$------NoNoNo------Lien / Lien NHL
Nick LeivermannMilwaukee Admirals (NSH)D261998-09-14USAYes185 Lbs5 ft11NoNoFree AgentNoNo42025-03-29FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$1,500,000$------1,500,000$1,500,000$1,500,000$------NoNoNo------
Oliver WahlstromMilwaukee Admirals (NSH)RW242000-06-13USAYes204 Lbs6 ft2NoNoN/ANoNo12025-03-14FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Patrick MoynihanMilwaukee Admirals (NSH)RW242001-01-23USAYes183 Lbs5 ft11NoNoProspectNoNo12025-03-14FalseFalsePro & Farm775,000$0$0$No---------------------------
Pheonix CopleyMilwaukee Admirals (NSH)G331992-01-18USANo200 Lbs6 ft4NoNoFree Agent2024-08-01NoNo42025-03-29FalseFalsePro & Farm2,750,000$0$0$No2,750,000$2,750,000$2,750,000$------2,750,000$2,750,000$2,750,000$------NoNoNo------Lien / Lien NHL
Rocco GrimaldiMilwaukee Admirals (NSH)C321993-02-08USANo180 Lbs5 ft6NoNoFree AgentNoNo22024-02-06FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Roland McKeownMilwaukee Admirals (NSH)D291996-01-20CANNo195 Lbs6 ft1NoNoFree AgentNoNo32024-08-08FalseFalsePro & Farm1,500,001$0$0$No1,500,001$1,500,001$-------1,500,001$1,500,001$-------NoNo-------Lien
Ryan SheaMilwaukee Admirals (NSH)D281997-02-11USANo190 Lbs6 ft2NoNoN/ANoNo12025-03-14FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Tanner PearsonMilwaukee Admirals (NSH)LW321992-08-10CANNo201 Lbs6 ft1NoNoFree Agent2024-01-28NoNo22024-02-04FalseFalsePro & Farm1,250,000$0$0$No1,250,000$--------1,250,000$--------No--------Lien / Lien NHL
Urho VaakanainenMilwaukee Admirals (NSH)D261999-01-01FINYes200 Lbs6 ft2NoNoN/ANoNo12024-07-21FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien / Lien NHL
Xavier BernardMilwaukee Admirals (NSH)D252000-01-06CANYes209 Lbs6 ft4NoNoProspectNoNo12025-03-14FalseFalsePro & Farm775,000$0$0$No---------------------------
Zachary UensMilwaukee Admirals (NSH)D232001-05-13CANYes201 Lbs6 ft2NoNoProspectNoNo12025-03-16FalseFalsePro & Farm859,167$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3528.17199 Lbs6 ft22.261,164,929$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tanner PearsonDevin ShoreOliver Wahlstrom40122
2Collin AdamsConnor BunnamanChris Terry30122
3Filip CederqvistLogan BrownCooper Marody20122
4Dylan RoobroeckFrederik GauthierTanner Pearson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alec MartinezUrho Vaakanainen40122
2Ryan SheaAaron Irving30122
3Xavier BernardRoland McKeown20122
4Brett LernoutAlec Martinez10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tanner PearsonDevin ShoreOliver Wahlstrom60122
2Collin AdamsConnor BunnamanChris Terry40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alec MartinezUrho Vaakanainen60122
2Ryan SheaAaron Irving40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tanner PearsonDevin Shore60122
2Oliver WahlstromCollin Adams40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alec MartinezUrho Vaakanainen60122
2Ryan SheaAaron Irving40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tanner Pearson60122Alec MartinezUrho Vaakanainen60122
2Devin Shore40122Ryan SheaAaron Irving40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tanner PearsonDevin Shore60122
2Oliver WahlstromCollin Adams40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alec MartinezUrho Vaakanainen60122
2Ryan SheaAaron Irving40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tanner PearsonDevin ShoreOliver WahlstromAlec MartinezUrho Vaakanainen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tanner PearsonDevin ShoreOliver WahlstromAlec MartinezUrho Vaakanainen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jaden Lipinski, Filip Cederqvist, Logan BrownJaden Lipinski, Filip CederqvistLogan Brown
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Xavier Bernard, Roland McKeown, Brett LernoutXavier BernardRoland McKeown, Brett Lernout
Tirs de pénalité
Tanner Pearson, Devin Shore, Oliver Wahlstrom, Collin Adams, Connor Bunnaman
Gardien
#1 : Martin Jones, #2 : Pheonix Copley
Lignes d’attaque personnalisées en prolongation
Tanner Pearson, Devin Shore, Oliver Wahlstrom, Collin Adams, Connor Bunnaman, Filip Cederqvist, Logan Brown, Frederik Gauthier, Chris Terry, Cooper Marody
Lignes de défense personnalisées en prolongation
Alec Martinez, Urho Vaakanainen, Ryan Shea, Aaron Irving, Xavier Bernard


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
1Belleville Senators11000000321110000003210000000000021.0003690013303637333103060262150.00%000%0336154.10%326747.76%203951.28%613358296028
2Grand Rapids Griffins11000000321000000000001100000032121.0003580013304237333102912162511100.00%3166.67%0336154.10%326747.76%203951.28%613358296028
3Springfield Thunderbirds1010000015-41010000015-40000000000000.0001230013302337333102781628000%3233.33%0336154.10%326747.76%203951.28%613358296028
Total3210000079-22110000047-31100000032140.667713200013301013733310862632793266.67%6350.00%0336154.10%326747.76%203951.28%613358296028
_Since Last GM Reset3210000079-22110000047-31100000032140.667713200013301013733310862632793266.67%6350.00%0336154.10%326747.76%203951.28%613358296028
_Vs Conference2110000047-31010000015-41100000032120.50047110013306537333105620325311100.00%6350.00%0336154.10%326747.76%203951.28%613358296028
_Vs Division1110000015-41010000015-40100000000021.0001230013302337333102781628000%3233.33%0336154.10%326747.76%203951.28%613358296028

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
34W2713201018626327900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
321000079
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000047
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
110000032
Derniers 10 matchs
WLOTWOTL SOWSOL
210000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3266.67%6350.00%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
37333101330
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
336154.10%326747.76%203951.28%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
613358296028


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
111Springfield Thunderbirds5Milwaukee Admirals1LSommaire du match
331Belleville Senators2Milwaukee Admirals3WSommaire du match
551Milwaukee Admirals3Grand Rapids Griffins2WSommaire du match
666Bakersfield Condors-Milwaukee Admirals-
1094Milwaukee Admirals-Springfield Thunderbirds-
11104Belleville Senators-Milwaukee Admirals-
13131Belleville Senators-Milwaukee Admirals-
14148Milwaukee Admirals-San Diego Gulls-
16163Springfield Thunderbirds-Milwaukee Admirals-
17175Milwaukee Admirals-Colorado Eagles-
18193Milwaukee Admirals-Texas Stars-
19200Rockford IceHogs-Milwaukee Admirals-
21224San Jose Barracuda-Milwaukee Admirals-
24250Milwaukee Admirals-Calgary Wranglers-
25263Bakersfield Condors-Milwaukee Admirals-
27290Belleville Senators-Milwaukee Admirals-
28305Milwaukee Admirals-Bakersfield Condors-
29317Milwaukee Admirals-Rockford IceHogs-
30322Colorado Eagles-Milwaukee Admirals-
32353Texas Stars-Milwaukee Admirals-
33364Milwaukee Admirals-Toronto Marlies-
34378Milwaukee Admirals-Grand Rapids Griffins-
35386Abbotsford Canucks-Milwaukee Admirals-
37415Charlotte Checkers-Milwaukee Admirals-
39434Milwaukee Admirals-Springfield Thunderbirds-
40448Ontario Reign-Milwaukee Admirals-
42467Milwaukee Admirals-Wilkes-Barre/Scranton Penguins-
43473Milwaukee Admirals-Rockford IceHogs-
44483Grand Rapids Griffins-Milwaukee Admirals-
46513Henderson Silver Knights-Milwaukee Admirals-
47523Milwaukee Admirals-Colorado Eagles-
49545Laval Rocket-Milwaukee Admirals-
51561Milwaukee Admirals-Henderson Silver Knights-
52577Springfield Thunderbirds-Milwaukee Admirals-
53589Milwaukee Admirals-Laval Rocket-
55603Milwaukee Admirals-Charlotte Checkers-
56615Tuscon Roadrunners-Milwaukee Admirals-
57633Milwaukee Admirals-Chicago Wolves-
59643Rochester Americans-Milwaukee Admirals-
61669Milwaukee Admirals-Providence Bruins-
62674Bridgeport Sound Tigers-Milwaukee Admirals-
63688Milwaukee Admirals-Utica Comets-
65705Hershey Bears-Milwaukee Admirals-
66724Milwaukee Admirals-Syracuse Crunch-
67737Milwaukee Admirals-Ontario Reign-
68744Springfield Thunderbirds-Milwaukee Admirals-
71773Colorado Eagles-Milwaukee Admirals-
72789Milwaukee Admirals-Colorado Eagles-
74799Milwaukee Admirals-San Jose Barracuda-
75813Hartford Wolf Pack-Milwaukee Admirals-
76833Utica Comets-Milwaukee Admirals-
78851Milwaukee Admirals-San Diego Gulls-
79861Milwaukee Admirals-Lehigh Valley Phantoms-
80872Rockford IceHogs-Milwaukee Admirals-
81883Milwaukee Admirals-Grand Rapids Griffins-
83903Chicago Wolves-Milwaukee Admirals-
85923Milwaukee Admirals-Calgary Wranglers-
86936Cleveland Monsters-Milwaukee Admirals-
87949Milwaukee Admirals-Iowa Wild-
89967Grand Rapids Griffins-Milwaukee Admirals-
91986Milwaukee Admirals-Syracuse Crunch-
92993Milwaukee Admirals-Ontario Reign-
931006Calgary Wranglers-Milwaukee Admirals-
951023Milwaukee Admirals-Lehigh Valley Phantoms-
961039Coachella Valley Firebirds-Milwaukee Admirals-
971050Milwaukee Admirals-Abbotsford Canucks-
991066Iowa Wild-Milwaukee Admirals-
1001088Milwaukee Admirals-Texas Stars-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1011097Milwaukee Admirals-Bridgeport Sound Tigers-
1031108Belleville Senators-Milwaukee Admirals-
1041124Milwaukee Admirals-Rochester Americans-
1061142Belleville Senators-Milwaukee Admirals-
1071150Milwaukee Admirals-Chicago Wolves-
1081168Toronto Marlies-Milwaukee Admirals-
1101182Milwaukee Admirals-Abbotsford Canucks-
1111187Milwaukee Admirals-Coachella Valley Firebirds-
1131207Manitoba Moose-Milwaukee Admirals-
1141221Milwaukee Admirals-Henderson Silver Knights-
1161243Syracuse Crunch-Milwaukee Admirals-
1201258Milwaukee Admirals-Manitoba Moose-
1221279Hartford Wolf Pack-Milwaukee Admirals-
1241302Bakersfield Condors-Milwaukee Admirals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3316
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
159,270$ 4,077,250$ 4,077,250$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
31,854$ 159,270$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 123 31,854$ 3,918,042$




Milwaukee Admirals Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Milwaukee Admirals Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Milwaukee Admirals Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Milwaukee Admirals Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Milwaukee Admirals Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA