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Milwaukee Admirals
GP: 12 | W: 5 | L: 7
GF: 23 | GA: 30 | PP%: 42.86% | PK%: 74.07%
DG: Dylan Rodrigues | Morale : 60 | Moyenne d’équipe : 61

Centre de jeu
Chicago Wolves
15-8-0, 30pts
5
FINAL
2 Milwaukee Admirals
5-7-0, 10pts
Team Stats
L1SéquenceL2
10-3-0Fiche domicile2-3-0
5-5-0Fiche domicile3-4-0
6-3-1Derniers 10 matchs4-5-1
3.17Buts par match 1.92
2.65Buts contre par match 2.50
38.24%Pourcentage en avantage numérique42.86%
68.42%Pourcentage en désavantage numérique74.07%
Milwaukee Admirals
5-7-0, 10pts
1
FINAL
4 Chicago Wolves
15-8-0, 30pts
Team Stats
L2SéquenceL1
2-3-0Fiche domicile10-3-0
3-4-0Fiche domicile5-5-0
4-5-1Derniers 10 matchs6-3-1
1.92Buts par match 3.17
2.50Buts contre par match 2.65
42.86%Pourcentage en avantage numérique38.24%
74.07%Pourcentage en désavantage numérique68.42%
Meneurs d'équipe
Tanner PearsonButs
Tanner Pearson
6
Brendan SmithPasses
Brendan Smith
11
Brendan SmithPoints
Brendan Smith
11
Plus/Moins
Cooper Marody
4
Pheonix CopleyVictoires
Pheonix Copley
5
Pheonix CopleyPourcentage d’arrêts
Pheonix Copley
0.924

Statistiques d’équipe
Buts pour
23
1.92 GFG
Tirs pour
339
28.25 Avg
Pourcentage en avantage numérique
42.9%
3 GF
Début de zone offensive
31.1%
Buts contre
30
2.50 GAA
Tirs contre
394
32.83 Avg
Pourcentage en désavantage numérique
74.1%%
7 GA
Début de la zone défensive
44.8%
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 Pearson70X100.005743897878756556556159646876770866603221,250,000$
2Devin Shore94XX100.00483594768065605058534961636868086610302800,000$
3Oliver Wahlstrom (R)26X100.005535937778716052555755626645590746102511,000,000$
4Collin Adams (R)0X100.00466657577461675650686354405252087600271800,000$
5Connor Bunnaman (R)0X100.00645266656665646256535859625350086600271775,000$
6Cooper Marody0XXX100.006069466262616665636840564260600865902841,100,000$
7Chris Terry0XX100.00357553497055676441574958608888087590362775,000$
8Frederik Gauthier0X100.00694157557148565242646747446464087590302775,000$
9Logan Brown0X100.006364516663656456405366555752520875902742,750,000$
10Filip Cederqvist (R)0X100.006637596765645051446166634345450865902442,750,000$
11Jaden Lipinski (R)0X100.00646066636260705252655943424545049570201775,000$
12Rocco Grimaldi91X100.00376945487353565863585748437272072570322775,000$
13Brendan Smith0XX100.006755758077827660406257825988860717603642,250,000$
14Alec Martinez25X100.005235968079886668406858736296930867403721,500,000$
15Urho Vaakanainen (R)6X100.005635898076858263406451825848670877302611,100,000$
16Ryan Shea46X100.00513597767274605040514962535666086630281775,000$
17Aaron Irving (R)0X100.00474653686554466740545867566464065620291775,000$
18Xavier Bernard (R)0X100.00594062706460555743656759504545087610251775,000$
19Roland McKeown0X100.006952504964505960555967614260600876002931,500,001$
20Brett Lernout0X100.00513960696561516242457057556464086600293800,000$
21Kenton Helgsen0XX100.00426853686158505246705553446868072590312775,000$
22Gustav Olofsson41X100.00403599767480605040413850496875075590303775,000$
23Jacob Leguerrier (R)0X100.00587257696749706364616542474848075590241775,000$
24Calle Rosen48X100.00403591777075605040483850496873075590313775,000$
25Colton White0X100.004942577062534751656442614156560755802841,250,000$
Rayé
1Liam Kirk (R)0X100.00477359585145695958476066414545020560251813,333$
2Patrick Moynihan (R)0X100.00627147616452526544506141424545020550241775,000$
3Dylan Roobroeck (R)0XX100.00707845465850565952544169414545040540202850,000$
4Karson Kuhlman0XX100.00384361666648615644424749506464020540293775,000$
5Nick Leivermann (R)0X100.007379586364604961506358425945450525702641,500,000$
6Zachary Uens (R)0X100.00566448506556705141576148404545020540241859,167$
7Alex Kannok-Leipert (R)0X100.00444255586864575061464147464545020520241775,000$
MOYENNE D’ÉQUIPE100.0054536566686261574957555750596006960
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 Jones0100.00857381898282848385847980720868203542,750,000$
2Pheonix Copley0100.00796574917382787777806974550867703342,750,000$
Rayé
1Garret Sparks0100.0049596351566349527070646460024590313775,000$
MOYENNE D’ÉQUIPE100.007166737770767071777871736206573
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
1Brendan SmithMilwaukee Admirals (NSH)LW/D120111127519183115220%1426221.8502204000080075.00%41511000.8400001001
2Tanner PearsonMilwaukee Admirals (NSH)LW126511020222336164316.67%1129424.57202250000212158.18%55148000.7500000200
3Devin ShoreMilwaukee Admirals (NSH)C/RW1245910017242981413.79%526021.72011150000210050.00%288411000.6900000011
4Alec MartinezMilwaukee Admirals (NSH)D12167-8008255319211.89%2933628.0502205011325000%01613000.4200000010
5Cooper MarodyMilwaukee Admirals (NSH)C/LW/RW12325412024202322013.04%320116.76000001011101057.14%725000.5000000100
6Kenton HelgsenMilwaukee Admirals (NSH)LW/D1222401202414184811.11%824120.1600000000050023.08%1313000.3300000000
7Urho VaakanainenMilwaukee Admirals (NSH)D12134-8201014265103.85%2328323.6510125011224000%0318000.2800000000
8Logan BrownMilwaukee Admirals (NSH)C12303424102310123725.00%217814.8700000000001140.91%6621000.3400101011
9Xavier BernardMilwaukee Admirals (NSH)D12033420374240%917714.760000400000000%033000.3400000000
10Chris TerryMilwaukee Admirals (NSH)LW/RW12112-721151213325183.13%522218.5000024000010050.00%1034000.1800111000
11Filip CederqvistMilwaukee Admirals (NSH)LW12112320197165116.25%619316.1600010000001075.00%436000.2100000001
12Connor BunnamanMilwaukee Admirals (NSH)C12112-7201919166176.25%922118.4400014000000048.73%15814000.1800000000
13Brett LernoutMilwaukee Admirals (NSH)D12011-100211000%2826.850000000002000%001000.2400000000
14Gustav OlofssonMilwaukee Admirals (NSH)D12000000000000%0100.840000000000000%00000000000000
15Roland McKeownMilwaukee Admirals (NSH)D1200037510126010%718015.0500000000014000%00400000001000
16Frederik GauthierMilwaukee Admirals (NSH)C12000-2201356140%0897.4600000000130028.95%380000000000000
17Collin AdamsMilwaukee Admirals (NSH)LW12000-65519132510140%522919.1200024000190033.33%64200000001000
18Colton WhiteMilwaukee Admirals (NSH)D12000000010000%010.160000000000000%00000000000000
19Jaden LipinskiMilwaukee Admirals (NSH)C10000000000000%000.100000000000000%00000000000000
20Rocco GrimaldiMilwaukee Admirals (NSH)C12000000000000%000.020000000000000%00000000000000
21Ryan SheaMilwaukee Admirals (NSH)D12000200485530%1122618.9100004000014000%04800000000000
22Oliver WahlstromMilwaukee Admirals (NSH)RW12000000000000%0110.970000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne262234164-16100402482343391062176.78%149370714.15358115012381655247.92%64975102000.3500215334
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
1Pheonix CopleyMilwaukee Admirals (NSH)125520.9242.4074940303941901000120211
Statistiques d’équipe totales ou en moyenne125520.9242.407494030394190100120211


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)LW271998-04-24USAYes200 Lbs5 ft9NoNoN/ANoNo12025-03-14FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Colton WhiteMilwaukee Admirals (NSH)D281997-05-03CANNo187 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)C271998-04-16CANYes207 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)C301995-04-26CANNo239 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)RW252000-06-13USAYes204 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)D242001-05-13CANYes201 Lbs6 ft2NoNoProspectNoNo12025-03-16FalseFalsePro & Farm859,167$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3528.34199 Lbs6 ft22.261,164,929$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tanner PearsonDevin ShoreKenton Helgsen37122
2Collin AdamsConnor BunnamanChris Terry31122
3Filip CederqvistLogan BrownCooper Marody20122
4Brendan SmithFrederik GauthierTanner Pearson12122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alec MartinezUrho Vaakanainen40122
2Ryan SheaBrendan Smith30122
3Xavier BernardRoland McKeown20122
4Brett LernoutAlec Martinez10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tanner PearsonDevin ShoreBrendan Smith60122
2Collin AdamsConnor BunnamanChris Terry40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alec MartinezUrho Vaakanainen60122
2Ryan SheaXavier Bernard40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tanner PearsonDevin Shore60122
2Brendan SmithCollin Adams40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alec MartinezUrho Vaakanainen60122
2Ryan SheaRoland McKeown40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tanner Pearson60122Alec MartinezUrho Vaakanainen60122
2Devin Shore40122Ryan SheaBrendan Smith40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tanner PearsonDevin Shore60122
2Brendan SmithCollin Adams40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alec MartinezUrho Vaakanainen60122
2Ryan SheaBrett Lernout40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tanner PearsonDevin ShoreBrendan SmithAlec MartinezUrho Vaakanainen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tanner PearsonDevin ShoreBrendan SmithAlec MartinezUrho Vaakanainen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Filip Cederqvist, Logan Brown, Cooper MarodyFilip Cederqvist, Logan BrownCooper Marody
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Xavier Bernard, Roland McKeown, Brett LernoutXavier BernardRoland McKeown, Brett Lernout
Tirs de pénalité
Tanner Pearson, Devin Shore, Cooper Marody, Collin Adams, Connor Bunnaman
Gardien
#1 : Pheonix Copley, #2 : Martin Jones
Lignes d’attaque personnalisées en prolongation
Tanner Pearson, Devin Shore, Brendan Smith, Collin Adams, Connor Bunnaman, Filip Cederqvist, Logan Brown, Chris Terry, Cooper Marody, Frederik Gauthier
Lignes de défense personnalisées en prolongation
Alec Martinez, Urho Vaakanainen, Ryan Shea, Brett Lernout, 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
1Chicago Wolves51400000817-92110000046-230300000411-720.200815230021191155631221381619580551062150.00%10370.00%08720243.07%14429149.48%8015651.28%238115242119268135
2Coachella Valley Firebirds74300000151323120000046-243100000117480.5711526410021191184631221381619969491425240.00%17476.47%18720243.07%14429149.48%8015651.28%238115242119268135
Total1257000002330-752300000812-4734000001518-3100.417234164002119133963122138163941491042487342.86%27774.07%18720243.07%14429149.48%8015651.28%238115242119268135
_Since Last GM Reset1257000002330-752300000812-4734000001518-3100.417234164002119133963122138163941491042487342.86%27774.07%18720243.07%14429149.48%8015651.28%238115242119268135
_Vs Conference1257000002330-752300000812-4734000001518-3100.417234164002119133963122138163941491042487342.86%27774.07%18720243.07%14429149.48%8015651.28%238115242119268135

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1210L223416433939414910424800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
125700002330
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
5230000812
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
73400001518
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
7342.86%27774.07%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
631221381621191
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
8720243.07%14429149.48%8015651.28%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
238115242119268135


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
17Milwaukee Admirals1Coachella Valley Firebirds2LXSommaire du match
215Milwaukee Admirals3Coachella Valley Firebirds1WSommaire du match
323Coachella Valley Firebirds2Milwaukee Admirals0LSommaire du match
431Coachella Valley Firebirds1Milwaukee Admirals2WSommaire du match
539Milwaukee Admirals4Coachella Valley Firebirds3WSommaire du match
647Coachella Valley Firebirds3Milwaukee Admirals2LXSommaire du match
755Milwaukee Admirals3Coachella Valley Firebirds1WSommaire du match
859Milwaukee Admirals1Chicago Wolves3LSommaire du match
963Milwaukee Admirals2Chicago Wolves4LSommaire du match
1067Chicago Wolves1Milwaukee Admirals2WXSommaire du match
1171Chicago Wolves5Milwaukee Admirals2LSommaire du match
1275Milwaukee Admirals1Chicago Wolves4LSommaire du match



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
36 0 - 0.00% 0$0$3000100

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

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Milwaukee Admirals Leaders statistiques des joueurs (saison régulière)

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

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