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Milwaukee Admirals
GP: 53 | W: 18 | L: 29 | OTL: 6 | P: 58
GF: 137 | GA: 184 | PP%: 23.98% | PK%: 74.89%
DG: Jaryn | Morale : 40 | Moyenne d’équipe : 67
Prochains matchs #752 vs Utica Devils

Centre de jeu
Providence Bruins
33-17-4, 99pts
7
2 Milwaukee Admirals
18-29-6, 58pts
Team Stats
L1SéquenceL2
15-11-2Fiche domicile9-11-4
18-6-2Fiche domicile9-18-2
6-3-1Derniers 10 matchs0-7-3
3.57Buts par match 2.58
3.04Buts contre par match 3.47
20.41%Pourcentage en avantage numérique23.98%
73.98%Pourcentage en désavantage numérique74.89%
Milwaukee Admirals
18-29-6, 58pts
1
2 Athens Rock Lobsters
32-15-6, 97pts
Team Stats
L2SéquenceW3
9-11-4Fiche domicile15-10-3
9-18-2Fiche domicile17-5-3
0-7-3Derniers 10 matchs6-4-0
2.58Buts par match 3.96
3.47Buts contre par match 3.40
23.98%Pourcentage en avantage numérique29.05%
74.89%Pourcentage en désavantage numérique77.18%
Utica Devils
32-19-2, 91pts
Jour 132
Milwaukee Admirals
18-29-6, 58pts
Statistiques d’équipe
L3SéquenceL2
17-10-2Fiche domicile9-11-4
15-9-0Fiche visiteur9-18-2
6-4-010 derniers matchs0-7-3
3.58Buts par match 2.58
3.06Buts contre par match 2.58
26.92%Pourcentage en avantage numérique23.98%
82.52%Pourcentage en désavantage numérique74.89%
Macon Whoopee
27-20-6, 79pts
Jour 135
Milwaukee Admirals
18-29-6, 58pts
Statistiques d’équipe
L3SéquenceL2
13-12-3Fiche domicile9-11-4
14-8-3Fiche visiteur9-18-2
2-6-210 derniers matchs0-7-3
3.25Buts par match 2.58
3.08Buts contre par match 2.58
20.81%Pourcentage en avantage numérique23.98%
78.29%Pourcentage en désavantage numérique74.89%
San Diego Gulls
27-22-5, 82pts
Jour 137
Milwaukee Admirals
18-29-6, 58pts
Statistiques d’équipe
W4SéquenceL2
12-12-4Fiche domicile9-11-4
15-10-1Fiche visiteur9-18-2
9-0-110 derniers matchs0-7-3
3.37Buts par match 2.58
3.59Buts contre par match 2.58
25.27%Pourcentage en avantage numérique23.98%
77.06%Pourcentage en désavantage numérique74.89%
Meneurs d'équipe
Buts
Reilly Smith
25
Passes
Reilly Smith
26
Points
Reilly Smith
51
Plus/Moins
Parker Wotherspoon
12
Victoires
KARI PIIROINEN
13
Pourcentage d’arrêts
KARI PIIROINEN
0.91

Statistiques d’équipe
Buts pour
137
2.58 GFG
Tirs pour
1441
27.19 Avg
Pourcentage en avantage numérique
24.0%
41 GF
Début de zone offensive
34.2%
Buts contre
184
3.47 GAA
Tirs contre
1804
34.04 Avg
Pourcentage en désavantage numérique
74.9%%
57 GA
Début de la zone défensive
41.1%
Informations de l'équipe

Directeur généralJaryn
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,502
Billets de saison1,200


Informations de la formation

Équipe Pro29
Équipe Mineure20
Limite contact 49 / 250
Espoirs10


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
1Corey Perry0X100.005555696180797162696568696499995540670401500,000$
2Pontus Holmberg0X98.006145767573777564696865726675665540670261500,000$
3EMIL PETTERSSON0XXX98.00563367776760606870716462687676524066N0311250,000$
4MARKUS LJUNGH0X99.00523868746060606870726563688291524066N0341250,000$
5Cole Bardreau0X100.007540707561686762656463706577585540650312665,000$
6Kiefer Sherwood0X100.0076477769587574606964637062797055406503032,184,000$
7Alex Belzile0X100.007044766772707162655861706279695540640332500,000$
8Jonathan Gruden0X100.008145717960657360605661706573665540640251500,000$
9Garrett Pilon0X100.005342797268667460665662666470625540630271500,000$
10Jere Innala0X100.005240777261636360605659676276765540620271500,000$
11Damon Severson0X100.007356747382848672527563666679805540710303630,000$
12Ian Cole0X100.007656676090798763506659775588845540710362500,000$
13Trevor van Riemsdyk0X100.005448837479828571507361676181715540690332500,000$
14LASSE LAPPALAINEN0X100.00544575708160606348726374608694524068N0361250,000$
15VILLE LAJUNEN0X100.00544071727860607148726763658894524068N0371250,000$
16Ben Thomas0X100.005342827980687062506061686175675540660291500,000$
17John Gilmour0X100.005148796978707662506260685779785540660321625,000$
18Michael Kapla0X100.005820797655727260505659665863588540630301500,000$
Rayé
1Reilly Smith0X99.0067408177618078716275696871817855407003411,700,000$
2Walker Duehr0X100.008451796685747562556766726476825540680272500,000$
3Mark Kastelic0X100.008655616587707560786463726275715540670262800,000$
4PER ASLUND0XX82.00483859726960606748686566679194524066N0381250,000$
5Tyler Pitlick0X89.7087497764727569666468656563817755406603311,500,000$
6Parker Wotherspoon0X100.0055447976926977645065617661766955407002721,525,000$
7Mike Reilly0X98.656144827461727765506863646177805540660313500,000$
8Anton Lindholm0X100.005115797845565559505659655964598040600301500,000$
MOYENNE D’ÉQUIPE98.63634375727170716458656368637976574066
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
1KARI PIIROINEN097.00816060767774757777747567565240710241250,000$
2SAMI RAJANIEMI0100.00766060747373747272737078655240700321250,000$
Rayé
1MARKUS RUUSU0100.00816060787472737373727172615240700271250,000$
MOYENNE D’ÉQUIPE99.0079606076757374747473727261524070
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
1Reilly SmithMilwaukee Admirals (SJS)RW47252651-99250971361986610812.63%30121925.94714212310502231531146.65%4933717010.8401415251
2Adam HenriqueSan Jose SharksC3418294723157984120418115.00%2184124.7581220217903361185056.57%8521822001.1201100630
3Walker DuehrMilwaukee Admirals (SJS)RW51151732-184115131122145416810.34%34114422.445491510300061071044.36%1332325100.5600102223
4Mark KastelicMilwaukee Admirals (SJS)C42121931-951251129783205814.46%2174517.76551011810002381052.53%5941315000.8300203023
5Pontus HolmbergMilwaukee Admirals (SJS)RW5312162854715837313245689.09%2577414.6103332830311763136.71%792913000.7200102311
6Cole BardreauMilwaukee Admirals (SJS)LW42717246592595658425608.33%1369116.46213115300031050043.87%1552414100.6900320020
7Jonathan GrudenMilwaukee Admirals (SJS)LW5181321-10863086709735688.25%3177515.2145916750001131034.15%411911000.5400213004
8Jere InnalaMilwaukee Admirals (SJS)LW4751015-10221049767710326.49%2167514.371236400001290135.71%28165000.4400101102
9Parker WotherspoonMilwaukee Admirals (SJS)D372131512502047786326243.17%7496526.091455961013129100%02538000.3100112001
10Cole SmithSan Jose SharksRW239514-7195422138123023.68%1040417.602247420000260037.04%2783000.6900100120
11Mike ReillyMilwaukee Admirals (SJS)D38012128342045595221140%4785122.400113750003120000%01027000.2800013011
12Tyler PitlickMilwaukee Admirals (SJS)RW4575121141052423692219.44%114419.81011223000143140.16%127108010.5400002101
13PER ASLUNDMilwaukee Admirals (SJS)LW/RW84610-214018132531016.00%212916.18123120000000066.67%350001.5400000001
14EMIL PETTERSSONMilwaukee Admirals (SJS)C/LW/RW19448-13261032375622457.14%535118.531238510000130063.06%111145000.4500110101
15Ben ThomasMilwaukee Admirals (SJS)D53077-1229152571337180%5897118.320003690112101000%02136000.1400012000
16Garrett PilonMilwaukee Admirals (SJS)C32437-3221026573392912.12%642813.381011170000160143.72%23153000.3300110001
17VILLE LAJUNENMilwaukee Admirals (SJS)D18437-544201418246816.67%1734919.44224531000129010%0210000.4000112000
18John GilmourMilwaukee Admirals (SJS)D44066-121152066171190%5580218.24011366000190000%01125000.1500010000
19MARKUS LJUNGHMilwaukee Admirals (SJS)C19156-1011523354016322.50%1231416.56123542000030046.10%29556000.3800100100
20Trevor van RiemsdykMilwaukee Admirals (SJS)D7246-3554687225.00%513719.66000114011020000%014000.8700100010
21LASSE LAPPALAINENMilwaukee Admirals (SJS)D16235-7171513271971110.53%2134321.48101128000044100%0710000.2900021000
22Corey PerryMilwaukee Admirals (SJS)RW52224-930104149378155.41%145009.620002100002500140.00%45811000.1600101000
23Michael KaplaMilwaukee Admirals (SJS)D45044-9120184218850%4059513.24011214000021000%0117000.1301000000
24Ian ColeMilwaukee Admirals (SJS)D21123-121275546582610103.85%3150924.26022657000154100%0311000.1200407000
25Kiefer SherwoodMilwaukee Admirals (SJS)RW31213-340231063133.33%31755.67000112000000053.13%3224000.3400000000
26Alex BelzileMilwaukee Admirals (SJS)RW47022-58017256060%22505.33000080000230051.43%3515000.1600000000
27Anton LindholmMilwaukee Admirals (SJS)D22022-1401133300%51516.880110700019000%004000.2600000000
28Julius HonkaSan Jose SharksD41022-10120153416950%2849212.01000216000038000%0414000.0800000000
29Damon SeversonMilwaukee Admirals (SJS)D7011-4371551511940%717725.42000123000120000%046000.1100003000
Statistiques d’équipe totales ou en moyenne992146239385-1499593951259149915034898439.71%6491621316.3442671091651299471149146118749.59%3281326369220.4703271339181920
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
1KARI PIIROINENMilwaukee Admirals (SJS)36131640.9103.09194421100111359210003216224
2SAMI RAJANIEMIMilwaukee Admirals (SJS)2551320.8813.9612442082690362110.33332132210
Statistiques d’équipe totales ou en moyenne61182960.8993.4231894118218039542135348434


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond 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
Alex BelzileMilwaukee Admirals (SJS)RW331991-08-31CANNo196 Lbs6 ft0NoNoFree AgentNoNo22025-10-20FalseFalsePro & Farm500,000$151,596$0$0$No500,000$--------500,000$--------No--------Lien
Anton LindholmMilwaukee Admirals (SJS)D301994-11-29SWENo191 Lbs5 ft11NoNoFree AgentNoNo12025-11-24FalseFalsePro & Farm500,000$151,596$0$0$No---------------------------
Ben ThomasMilwaukee Admirals (SJS)D291996-05-28CANNo187 Lbs6 ft1NoNoTrade2025-11-13NoNo12025-10-27FalseFalsePro & Farm500,000$151,596$0$0$No---------------------------Lien
Cole BardreauMilwaukee Admirals (SJS)LW311993-07-22USANo185 Lbs5 ft10NoNoTrade2026-03-27NoNo22025-09-30FalseFalsePro & Farm665,000$201,622$0$0$No665,000$--------665,000$--------No--------Lien
Corey Perry (contrat à 1 volet)Milwaukee Admirals (SJS)RW401985-05-16CANNo208 Lbs6 ft3NoNoFree AgentNoNo12025-10-20FalseFalsePro & Farm500,000$151,596$0$0$No---------------------------Lien
Damon SeversonMilwaukee Admirals (SJS)D301994-08-07CANNo205 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm630,000$191,011$0$0$No630,000$630,000$-------630,000$630,000$-------NoNo-------Lien
EMIL PETTERSSON (contrat à 1 volet)Milwaukee Admirals (SJS)C/LW/RW311994-01-14SWENo176 Lbs6 ft2YesNoFree AgentNoNo12026-04-20FalseFalseFarm Only250,000$75,798$0$0$No---------------------------Lien
Garrett PilonMilwaukee Admirals (SJS)C271998-04-13CANNo192 Lbs6 ft0NoNoFree AgentNoNo12025-11-24FalseFalsePro & Farm500,000$151,596$0$0$No---------------------------Lien
Ian Cole (contrat à 1 volet)Milwaukee Admirals (SJS)D361989-02-21USANo225 Lbs6 ft1NoNoFree AgentNoNo22025-10-27FalseFalsePro & Farm500,000$151,596$0$0$No500,000$--------500,000$--------No--------Lien
Jere InnalaMilwaukee Admirals (SJS)LW271998-03-17FINNo183 Lbs5 ft9NoNoFree AgentNoNo12025-11-24FalseFalsePro & Farm500,000$151,596$0$0$No---------------------------Lien
John GilmourMilwaukee Admirals (SJS)D321993-05-17CANNo207 Lbs6 ft0NoNoTrade2025-11-13NoNo12025-09-30FalseFalsePro & Farm625,000$189,495$0$0$No---------------------------
Jonathan GrudenMilwaukee Admirals (SJS)LW252000-05-04USANo172 Lbs6 ft0NoNoTrade2025-11-13NoNo12025-10-20FalseFalsePro & Farm500,000$151,596$0$0$No---------------------------Lien
KARI PIIROINEN (contrat à 1 volet)Milwaukee Admirals (SJS)G242001-07-01FINNo176 Lbs6 ft1NoNoFree AgentNoNo12025-11-24FalseFalseFarm Only250,000$75,798$0$0$No---------------------------Lien
Kiefer SherwoodMilwaukee Admirals (SJS)RW301995-03-31USANo194 Lbs6 ft0NoNoFree AgentNoNo32025-10-20FalseFalsePro & Farm2,184,000$662,170$0$0$No2,184,000$2,184,000$-------2,184,000$2,184,000$-------NoNo-------Lien
LASSE LAPPALAINEN (contrat à 1 volet)Milwaukee Admirals (SJS)D361989-06-07FINNo198 Lbs6 ft2YesNoFree AgentNoNo12026-04-20FalseFalseFarm Only250,000$75,798$0$0$No---------------------------Lien
MARKUS LJUNGH (contrat à 1 volet)Milwaukee Admirals (SJS)C341991-01-11SWENo181 Lbs5 ft9YesNoFree AgentNoNo12026-04-20FalseFalseFarm Only250,000$75,798$0$0$No---------------------------Lien
MARKUS RUUSU (contrat à 1 volet)Milwaukee Admirals (SJS)G271997-08-23FINNo176 Lbs6 ft2NoNoFree AgentNoNo12025-11-24FalseFalseFarm Only250,000$75,798$0$0$No---------------------------Lien
Mark KastelicMilwaukee Admirals (SJS)C261999-03-11USANo209 Lbs6 ft4NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm800,000$242,553$0$0$No800,000$--------800,000$--------No--------Lien
Michael KaplaMilwaukee Admirals (SJS)D301994-09-19USANo201 Lbs6 ft0NoNoFree AgentNoNo12025-11-24FalseFalsePro & Farm500,000$151,596$0$0$No---------------------------Lien
Mike ReillyMilwaukee Admirals (SJS)D311993-07-13USANo196 Lbs6 ft1NoNoFree AgentNoNo32025-10-27FalseFalsePro & Farm500,000$151,596$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
PER ASLUND (contrat à 1 volet)Milwaukee Admirals (SJS)LW/RW381986-08-21SWENo183 Lbs6 ft2YesNoFree AgentNoNo12026-04-20FalseFalseFarm Only250,000$75,798$0$0$No---------------------------Lien
Parker WotherspoonMilwaukee Admirals (SJS)D271997-08-24CANNo190 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,525,000$462,367$0$0$No1,525,000$--------1,525,000$--------No--------Lien
Pontus HolmbergMilwaukee Admirals (SJS)RW261999-03-09SWENo187 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$151,596$0$0$No---------------------------Lien
Reilly SmithMilwaukee Admirals (SJS)RW341991-04-01CANNo185 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,700,000$515,426$0$0$No---------------------------Lien
SAMI RAJANIEMI (contrat à 1 volet)Milwaukee Admirals (SJS)G321992-08-20FINNo183 Lbs6 ft0NoNoFree AgentNoNo12025-11-24FalseFalseFarm Only250,000$75,798$0$0$No---------------------------Lien
Trevor van RiemsdykMilwaukee Admirals (SJS)D331991-07-24USANo192 Lbs6 ft3NoNoFree AgentNoNo22025-10-20FalseFalsePro & Farm500,000$151,596$0$0$No500,000$--------500,000$--------No--------Lien
Tyler PitlickMilwaukee Admirals (SJS)RW331991-11-01USANo201 Lbs6 ft2NoNoTrade2025-11-13NoNo12025-09-30FalseFalsePro & Farm1,500,000$454,787$0$0$No---------------------------Lien
VILLE LAJUNEN (contrat à 1 volet)Milwaukee Admirals (SJS)D371988-03-08FINNo194 Lbs6 ft1YesNoFree AgentNoNo12026-04-20FalseFalseFarm Only250,000$75,798$0$0$No---------------------------Lien
Walker DuehrMilwaukee Admirals (SJS)RW271997-11-23USANo209 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm500,000$151,596$0$0$No500,000$--------500,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2930.90192 Lbs6 ft11.45625,138$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1EMIL PETTERSSONMARKUS LJUNGHPontus Holmberg40122
2Cole BardreauGarrett PilonCorey Perry30122
3Jonathan GrudenPontus HolmbergKiefer Sherwood20122
4Jere InnalaCorey PerryAlex Belzile10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Damon SeversonIan Cole40122
2Trevor van RiemsdykVILLE LAJUNEN30122
3LASSE LAPPALAINENBen Thomas20122
4John GilmourMichael Kapla10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1EMIL PETTERSSONMARKUS LJUNGHPontus Holmberg60122
2Cole BardreauGarrett PilonCorey Perry40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Damon SeversonIan Cole60122
2Trevor van RiemsdykVILLE LAJUNEN40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Pontus HolmbergCorey Perry60122
2MARKUS LJUNGHEMIL PETTERSSON40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Damon SeversonIan Cole60122
2Trevor van RiemsdykVILLE LAJUNEN40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Pontus Holmberg60122Damon SeversonIan Cole60122
2Corey Perry40122Trevor van RiemsdykVILLE LAJUNEN40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Pontus HolmbergCorey Perry60122
2MARKUS LJUNGHEMIL PETTERSSON40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Damon SeversonIan Cole60122
2Trevor van RiemsdykVILLE LAJUNEN40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
EMIL PETTERSSONMARKUS LJUNGHPontus HolmbergDamon SeversonIan Cole
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
EMIL PETTERSSONMARKUS LJUNGHPontus HolmbergDamon SeversonIan Cole
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kiefer Sherwood, Alex Belzile, Jonathan GrudenKiefer Sherwood, Alex BelzileJonathan Gruden
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
LASSE LAPPALAINEN, Ben Thomas, John GilmourLASSE LAPPALAINENBen Thomas, John Gilmour
Tirs de pénalité
Pontus Holmberg, Corey Perry, MARKUS LJUNGH, EMIL PETTERSSON, Kiefer Sherwood
Gardien
#1 : KARI PIIROINEN, #2 : SAMI RAJANIEMI
Lignes d’attaque personnalisées en prolongation
Pontus Holmberg, Corey Perry, MARKUS LJUNGH, EMIL PETTERSSON, Kiefer Sherwood, Cole Bardreau, Alex Belzile, Jonathan Gruden, Garrett Pilon, Jere Innala
Lignes de défense personnalisées en prolongation
Damon Severson, Ian Cole, Trevor van Riemsdyk, VILLE LAJUNEN, LASSE LAPPALAINEN


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Abbotsford Canucks2110000079-21010000026-41100000053230.500710170030564925735850655821672536459333.33%8187.50%0521106249.06%613127548.08%42476455.50%98247111885211021512
2Athens Rock Lobsters2010010046-21000010034-11010000012-110.16747110030564925135850655821662837458337.50%6183.33%0521106249.06%613127548.08%42476455.50%98247111885211021512
3Bakersfield Condors32100000862110000004312110000043160.6678142200305649272358506558219937547011218.18%17288.24%1521106249.06%613127548.08%42476455.50%98247111885211021512
4Bloomington Bison21100000330110000003121010000002-230.50034700305649247358506558215820553211327.27%100100.00%0521106249.06%613127548.08%42476455.50%98247111885211021512
5Bridgeport Islanders1010000026-4000000000001010000026-400.000246003056492283585065582133101423500.00%7357.14%0521106249.06%613127548.08%42476455.50%98247111885211021512
6Cleveland Monsters30200001612-62010000159-41010000013-210.111611170030564928035850655821109474856400.00%19763.16%0521106249.06%613127548.08%42476455.50%98247111885211021512
7Coachella Valley Firebirds21100000761110000003121010000045-130.5007121900305649247358506558216020284910330.00%9277.78%0521106249.06%613127548.08%42476455.50%98247111885211021512
8Colorado Eagles3020010038-52010010026-41010000012-110.1113360030564927635850655821114373772900.00%11281.82%0521106249.06%613127548.08%42476455.50%98247111885211021512
9Grand Rapids Griffins30201000912-320200000610-41000100032120.2229142300305649284358506558211162551586233.33%8275.00%0521106249.06%613127548.08%42476455.50%98247111885211021512
10Greensboro Gargoyles2010010035-21010000012-11000010023-110.1673470030564923935850655821733330342150.00%100100.00%0521106249.06%613127548.08%42476455.50%98247111885211021512
11Greenville Swamp Rabbits11000000321110000003210000000000031.000347003056492273585065582142158153266.67%4175.00%0521106249.06%613127548.08%42476455.50%98247111885211021512
12Henderson Silver Knights20200000714-71010000048-41010000036-300.000712190030564925835850655821611861508337.50%13746.15%0521106249.06%613127548.08%42476455.50%98247111885211021512
13Iowa Heartlanders11000000523110000005230000000000031.000510150030564924435850655821291613294125.00%4175.00%1521106249.06%613127548.08%42476455.50%98247111885211021512
14Laval Rocket2020000047-31010000024-21010000023-100.00046100030564926835850655821562613459333.33%4175.00%0521106249.06%613127548.08%42476455.50%98247111885211021512
15Lehigh Valley Phantoms10001000321000000000001000100032120.667369003056492383585065582125176215360.00%30100.00%0521106249.06%613127548.08%42476455.50%98247111885211021512
16Macon Whoopee2110000078-1000000000002110000078-130.50071118003056492613585065582186271351400.00%4175.00%0521106249.06%613127548.08%42476455.50%98247111885211021512
17Orlando Solar Bears2010010036-31000010023-11010000013-210.167347003056492433585065582176207244500.00%6266.67%0521106249.06%613127548.08%42476455.50%98247111885211021512
18Pee Dee Pride320001001174110000005232100010065170.7781119300130564928135850655821813737668337.50%16475.00%1521106249.06%613127548.08%42476455.50%98247111885211021512
19Providence Bruins20200000310-71010000027-51010000013-200.000358003056492533585065582184205633300.00%8275.00%0521106249.06%613127548.08%42476455.50%98247111885211021512
20Reading Royals22000000853110000004311100000042261.000815230030564925535850655821581855438450.00%10370.00%0521106249.06%613127548.08%42476455.50%98247111885211021512
21Rochester Americans1010000035-21010000035-20000000000000.000347103056492233585065582128141832300.00%40100.00%0521106249.06%613127548.08%42476455.50%98247111885211021512
22Rockford IceHogs31200000713-61100000043120200000310-730.33371320003056492993585065582110038388110110.00%14564.29%0521106249.06%613127548.08%42476455.50%98247111885211021512
23San Diego Gulls2110000089-1000000000002110000089-130.500814220030564925035850655821731561518112.50%8450.00%0521106249.06%613127548.08%42476455.50%98247111885211021512
24Savannah Ghost Pirates2020000037-41010000013-21010000024-200.0003580030564924035850655821652416554125.00%8362.50%0521106249.06%613127548.08%42476455.50%98247111885211021512
25Trois Rivieres Lions2110000046-2110000002111010000025-330.500459003056492543585065582159232850800.00%9188.89%1521106249.06%613127548.08%42476455.50%98247111885211021512
26Utica Devils1010000016-5000000000001010000016-500.00011200305649228358506558214583611100.00%4175.00%0521106249.06%613127548.08%42476455.50%98247111885211021512
27Wheeling Nailers11000000523000000000001100000052331.00059140030564923835850655821411511215240.00%3166.67%0521106249.06%613127548.08%42476455.50%98247111885211021512
Total53162902501137184-4724911003016685-1929718022007199-28580.365137226363113056492144135850655821180463393211821714123.98%2275774.89%4521106249.06%613127548.08%42476455.50%98247111885211021512
_Since Last GM Reset53162902501137184-4724911003016685-1929718022007199-28580.365137226363113056492144135850655821180463393211821714123.98%2275774.89%4521106249.06%613127548.08%42476455.50%98247111885211021512
_Vs Conference3212160120191112-211466001014252-1018610011004960-11410.427911522430130564928673585065582110823645747241062523.58%1474072.79%2521106249.06%613127548.08%42476455.50%98247111885211021512
_Vs Division1266000004046-6532000001619-3734000002427-3180.500406710700305649231435850655821377116296270541731.48%581770.69%0521106249.06%613127548.08%42476455.50%98247111885211021512

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5358L213722636314411804633932118211
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5316292501137184
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2491103016685
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2971822007199
Derniers 10 matchs
WLOTWOTL SOWSOL
070300
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1714123.98%2275774.89%4
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
358506558213056492
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
521106249.06%613127548.08%42476455.50%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
98247111885211021512


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
212Milwaukee Admirals5Abbotsford Canucks3WSommaire du match
425Coachella Valley Firebirds1Milwaukee Admirals3WSommaire du match
641Henderson Silver Knights8Milwaukee Admirals4LSommaire du match
855Milwaukee Admirals4Reading Royals2WSommaire du match
1069Milwaukee Admirals4San Diego Gulls3WSommaire du match
1284Milwaukee Admirals1Macon Whoopee4LSommaire du match
1497Bloomington Bison1Milwaukee Admirals3WSommaire du match
15107Milwaukee Admirals1Utica Devils6LSommaire du match
17120Athens Rock Lobsters4Milwaukee Admirals3LXSommaire du match
20140Milwaukee Admirals1Providence Bruins3LSommaire du match
24154Milwaukee Admirals1Colorado Eagles2LSommaire du match
27168Milwaukee Admirals3Bakersfield Condors1WSommaire du match
29175Grand Rapids Griffins4Milwaukee Admirals2LSommaire du match
33196Cleveland Monsters3Milwaukee Admirals0LSommaire du match
35206Pee Dee Pride2Milwaukee Admirals5WSommaire du match
38220Milwaukee Admirals2Rockford IceHogs5LSommaire du match
41234Rockford IceHogs3Milwaukee Admirals4WSommaire du match
45251Milwaukee Admirals2Pee Dee Pride0WSommaire du match
48263Milwaukee Admirals1Cleveland Monsters3LSommaire du match
51275Milwaukee Admirals3Grand Rapids Griffins2WXSommaire du match
54294Bakersfield Condors3Milwaukee Admirals4WSommaire du match
57303Colorado Eagles3Milwaukee Admirals0LSommaire du match
60317Milwaukee Admirals1Orlando Solar Bears3LSommaire du match
62329Greensboro Gargoyles2Milwaukee Admirals1LSommaire du match
64349Trois Rivieres Lions1Milwaukee Admirals2WSommaire du match
66364Milwaukee Admirals5Wheeling Nailers2WSommaire du match
68378Milwaukee Admirals6Macon Whoopee4WSommaire du match
70391Milwaukee Admirals4San Diego Gulls6LSommaire du match
72405Reading Royals3Milwaukee Admirals4WSommaire du match
74419Milwaukee Admirals3Henderson Silver Knights6LSommaire du match
76423Milwaukee Admirals2Bridgeport Islanders6LSommaire du match
78439Iowa Heartlanders2Milwaukee Admirals5WSommaire du match
80450Greenville Swamp Rabbits2Milwaukee Admirals3WSommaire du match
84472Cleveland Monsters6Milwaukee Admirals5LXXSommaire du match
87488Milwaukee Admirals4Pee Dee Pride5LXSommaire du match
89503Milwaukee Admirals1Rockford IceHogs5LSommaire du match
92515Laval Rocket4Milwaukee Admirals2LSommaire du match
93522Milwaukee Admirals2Laval Rocket3LSommaire du match
95533Milwaukee Admirals2Savannah Ghost Pirates4LSommaire du match
98554Savannah Ghost Pirates3Milwaukee Admirals1LSommaire du match
100573Rochester Americans5Milwaukee Admirals3LSommaire du match
102583Milwaukee Admirals3Lehigh Valley Phantoms2WXSommaire du match
105602Milwaukee Admirals4Coachella Valley Firebirds5LSommaire du match
107613Abbotsford Canucks6Milwaukee Admirals2LSommaire du match
110625Milwaukee Admirals0Bloomington Bison2LSommaire du match
113635Colorado Eagles3Milwaukee Admirals2LXSommaire du match
115649Milwaukee Admirals1Bakersfield Condors2LSommaire du match
118659Grand Rapids Griffins6Milwaukee Admirals4LSommaire du match
121675Milwaukee Admirals2Trois Rivieres Lions5LSommaire du match
123689Milwaukee Admirals2Greensboro Gargoyles3LXSommaire du match
125703Orlando Solar Bears3Milwaukee Admirals2LXSommaire du match
128727Providence Bruins7Milwaukee Admirals2LSommaire du match
130742Milwaukee Admirals1Athens Rock Lobsters2LSommaire du match
132752Utica Devils-Milwaukee Admirals-
135770Macon Whoopee-Milwaukee Admirals-
137783San Diego Gulls-Milwaukee Admirals-
139797Milwaukee Admirals-Reading Royals-
142811Henderson Silver Knights-Milwaukee Admirals-
144823Wheeling Nailers-Milwaukee Admirals-
146830Bridgeport Islanders-Milwaukee Admirals-
148844Milwaukee Admirals-Iowa Heartlanders-
152868Milwaukee Admirals-Greenville Swamp Rabbits-
154881Milwaukee Admirals-Rochester Americans-
156892Lehigh Valley Phantoms-Milwaukee Admirals-
158899Milwaukee Admirals-Cleveland Monsters-
160915Pee Dee Pride-Milwaukee Admirals-
162930Rockford IceHogs-Milwaukee Admirals-
164939Milwaukee Admirals-Grand Rapids Griffins-
166959Bakersfield Condors-Milwaukee Admirals-
168968Milwaukee Admirals-Colorado Eagles-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
171987Macon Whoopee-Milwaukee Admirals-
1731000San Diego Gulls-Milwaukee Admirals-
1751014Reading Royals-Milwaukee Admirals-
1771028Milwaukee Admirals-Henderson Silver Knights-
1801047Coachella Valley Firebirds-Milwaukee Admirals-
1811061Milwaukee Admirals-Coachella Valley Firebirds-
1831076Abbotsford Canucks-Milwaukee Admirals-
1841090Milwaukee Admirals-Abbotsford Canucks-
1861105Bloomington Bison-Milwaukee Admirals-
1871119Milwaukee Admirals-Bloomington Bison-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3111
Assistance38,00322,055
Assistance PCT79.17%91.90%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
16 2502 - 83.41% 59,196$1,420,698$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,107,909$ 3,029,900$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,107,909$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
947,132$ 57 16,116$ 918,612$




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