Please rotate your device to landscape mode for a better experience.
Login

Milwaukee Admirals
GP: 53 | W: 35 | L: 12 | OTL: 6 | P: 76
GF: 164 | GA: 127 | PP%: 40.91% | PK%: 64.71%
GM : Dylan Rodrigues | Morale : 74 | Team Overall : 61
Next Games #872 vs Rockford IceHogs

Game Center
Milwaukee Admirals
35-12-6, 76pts
3
FINAL
2 San Diego Gulls
22-27-6, 50pts
Team Stats
SOL1StreakL2
19-5-3Home Record13-13-1
16-7-3Home Record9-14-5
5-4-1Last 10 Games5-4-1
3.09Goals Per Game2.87
2.40Goals Against Per Game3.38
40.91%Power Play Percentage26.15%
64.71%Penalty Kill Percentage77.08%
Milwaukee Admirals
35-12-6, 76pts
1
FINAL
2 Lehigh Valley Phantoms
28-23-5, 61pts
Team Stats
SOL1StreakW1
19-5-3Home Record16-10-1
16-7-3Home Record12-13-4
5-4-1Last 10 Games7-2-1
3.09Goals Per Game2.38
2.40Goals Against Per Game2.48
40.91%Power Play Percentage27.27%
64.71%Penalty Kill Percentage65.75%
Rockford IceHogs
19-33-2, 40pts
Day 80
Milwaukee Admirals
35-12-6, 76pts
Team Stats
W3StreakSOL1
9-16-2Home Record19-5-3
10-17-0Away Record16-7-3
6-4-0Last 10 Games5-4-1
2.41Goals Per Game3.09
3.35Goals Against Per Game3.09
36.51%Power Play Percentage40.91%
55.36%Penalty Kill Percentage64.71%
Milwaukee Admirals
35-12-6, 76pts
Day 81
Grand Rapids Griffins
18-27-9, 45pts
Team Stats
SOL1StreakL1
19-5-3Home Record10-13-4
16-7-3Away Record8-14-5
5-4-1Last 10 Games4-4-2
3.09Goals Per Game2.48
2.40Goals Against Per Game2.48
40.91%Power Play Percentage29.82%
64.71%Penalty Kill Percentage59.46%
Chicago Wolves
41-11-3, 85pts
Day 83
Milwaukee Admirals
35-12-6, 76pts
Team Stats
W1StreakSOL1
22-4-1Home Record19-5-3
19-7-2Away Record16-7-3
7-2-1Last 10 Games5-4-1
3.60Goals Per Game3.09
2.25Goals Against Per Game3.09
20.69%Power Play Percentage40.91%
71.43%Penalty Kill Percentage64.71%
Team Leaders
Tanner PearsonGoals
Tanner Pearson
31
Alec MartinezAssists
Alec Martinez
48
Alec MartinezPoints
Alec Martinez
55
Plus/Minus
Chris Terry
27
Martin JonesWins
Martin Jones
28
Pheonix CopleySave Percentage
Pheonix Copley
0.933

Team Stats
Goals For
164
3.09 GFG
Shots For
1786
33.70 Avg
Power Play Percentage
40.9%
27 GF
Offensive Zone Start
35.1%
Goals Against
127
2.40 GAA
Shots Against
1547
29.19 Avg
Penalty Kill Percentage
64.7%%
24 GA
Defensive Zone Start
39.1%
Team Info

General ManagerDylan Rodrigues
DivisionMidwest Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets1,650


Roster Info

Pro Team34
Farm Team20
Contract Limit54 / 65
Prospects22


Filter Tips
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
# Player Name #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Tanner Pearson70X100.005743897878756556556159646876770816603221,250,000$
2Devin Shore94XX100.00483594768065605058534961636868081610302800,000$
3Collin Adams (R)0X100.00466657577461675650686354405252085600271800,000$
4Connor Bunnaman (R)0X100.00645266656665646256535859625350081600271775,000$
5Cooper Marody0XXX100.006069466262616665636840564260600805902841,100,000$
6Chris Terry0XX100.00357553497055676441574958608888084590362775,000$
7Frederik Gauthier0X100.00694157557148565242646747446464080590302775,000$
8Logan Brown0X100.006364516663656456405366555752520835902742,750,000$
9Filip Cederqvist (R)0X100.006637596765645051446166634345450795902442,750,000$
10Rocco Grimaldi91X100.00376945487353565863585748437272044570322775,000$
11Brendan Smith0XX100.006755758077827660406257825988860387603642,250,000$
12Alec Martinez25X100.005235968079886668406858736296930797403721,500,000$
13Urho Vaakanainen (R)6X100.005635898076858263406451825848670817302611,100,000$
14Ryan Shea46X100.00513597767274605040514962535666081630281775,000$
15Xavier Bernard (R)0X100.00594062706460555743656759504545083610251775,000$
16Roland McKeown0X100.006952504964505960555967614260600816002931,500,001$
17Brett Lernout0X100.00513960696561516242457057556464081600293800,000$
18Kenton Helgsen0XX100.00426853686158505246705553446868044590312775,000$
19Gustav Olofsson41X100.00403599767480605040413850496875044590303775,000$
20Jacob Leguerrier (R)0X100.00587257696749706364616542474848044590241775,000$
21Calle Rosen48X100.00403591777075605040483850496873044590313775,000$
22Colton White0X100.004942577062534751656442614156560445802841,250,000$
23Nick Leivermann (R)0X100.007379586364604961506358425945450445702641,500,000$
Scratches
1Oliver Wahlstrom (R)26X100.005535937778716052555755626645590716102411,000,000$
2Jaden Lipinski (R)0X100.00646066636260705252655943424545054570201775,000$
3Liam Kirk (R)0X100.00477359585145695958476066414545020560251813,333$
4Patrick Moynihan (R)0X100.00627147616452526544506141424545020550241775,000$
5Karson Kuhlman0XX100.00384361666648615644424749506464020540293775,000$
6Aaron Irving (R)0X100.00474653686554466740545867566464062620291775,000$
7Zachary Uens (R)0X100.00566448506556705141576148404545020540241859,167$
8Alex Kannok-Leipert (R)0X100.00444255586864575061464147464545020520241775,000$
TEAM AVERAGE100.0054526666686261574957565751596106060
Filter Tips
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
# Goalie Name #CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Martin Jones0100.00857381898282848385847980720838203542,750,000$
2Pheonix Copley0100.00796574917382787777806974550827703342,750,000$
Scratches
1Garret Sparks0100.0049596351566349527070646460028590313775,000$
TEAM AVERAGE100.007166737770767071777871736206473
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


Filter Tips
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
# Player Name Team NamePOSGP 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)D487485525541982451051062.86%71133427.80313161446000450110%07346000.8201001145
2Tanner PearsonMilwaukee Admirals (NSH)LW53312455132925109832868715710.84%41129824.51571213470110555148.28%1748534020.8526005860
3Devin ShoreMilwaukee Admirals (NSH)C/RW53192746142074105126378915.08%24109220.6137107460111554051.83%14762028100.8426000243
4Chris TerryMilwaukee Admirals (NSH)LW/RW5318203827107759555131456413.74%2493417.62224230000066154.84%312314000.8111636333
5Oliver WahlstromMilwaukee Admirals (NSH)RW5313233612100736013547749.63%28102519.36561111471011181149.07%1082526000.7014000135
6Connor BunnamanMilwaukee Admirals (NSH)C531123342633251067611936849.24%1994917.91235534000003149.61%6431919000.7201014342
7Collin AdamsMilwaukee Admirals (NSH)LW5316143023715512373154339610.39%1396618.232243330001164130.00%302814000.6203515342
8Cooper MarodyMilwaukee Admirals (NSH)C/LW/RW5391625-492601034710544848.57%1976514.44000000000162052.63%191515000.6500147112
9Urho VaakanainenMilwaukee Admirals (NSH)D533202368044648344423.61%84123323.28246353000154120%02145000.3701000011
10Filip CederqvistMilwaukee Admirals (NSH)LW5312618-71210855092224613.04%2380615.2310114000003046.67%303014000.4500011111
11Logan BrownMilwaukee Admirals (NSH)C5310616-73725956085275311.76%877714.6800001000090037.79%3441613000.4100122011
12Aaron IrvingMilwaukee Admirals (NSH)D481131422392542414420182.27%3586918.12123224000027010%01025000.3200023000
13Ryan SheaMilwaukee Admirals (NSH)D5331013190020604216287.14%32100619.00112229000136100%01228000.2600000100
14Xavier BernardMilwaukee Admirals (NSH)D53110113231517332816143.57%2173613.910000400006010%11524000.3000210002
15Brendan SmithMilwaukee Admirals (NSH)LW/D26371035527163315139.09%926210.09000000000000100.00%21011000.7600010000
16Frederik GauthierMilwaukee Admirals (NSH)C431671204215305103.33%03227.5000000000031047.58%12454000.4300000000
17Roland McKeownMilwaukee Admirals (NSH)D53033843356434228150%2871913.570000000001000100.00%2516000.0800133000
18Jaden LipinskiMilwaukee Admirals (NSH)C3120210017866233.33%01725.5700001000000047.92%4810000.2300000000
19Dylan RoobroeckNashville PredatorsC/LW27112-11210261271214.29%21917.08000000000000100.00%107000.2100011000
20Kenton HelgsenMilwaukee Admirals (NSH)LW/D26011200120110%1401.550000000004000%000000.5000000000
21Brett LernoutMilwaukee Admirals (NSH)D53011540181613460%204097.730000600001000%01412000.0500000000
22Gustav OlofssonMilwaukee Admirals (NSH)D26000100000000%070.300000000000000%00000000000000
23Colton WhiteMilwaukee Admirals (NSH)D26000000000000%010.040000000000000%00000000000000
24Rocco GrimaldiMilwaukee Admirals (NSH)C26000000000000%010.050000000000000%00000000000000
Team Total or Average106916127944016953437012221008178661910049.01%5021592614.90274774634111239375321049.06%3033427395120.55623162038243227
Filter Tips
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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Martin JonesMilwaukee Admirals (NSH)45281160.9182.332710021051276617010.72722458523
2Pheonix CopleyMilwaukee Admirals (NSH)97100.9332.1250900182701273000845201
Team Total or Average54351260.9202.29321902123154674431225353724


Filter Tips
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
Player Name Team NamePOS Age Birthday Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
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--------Link / NHL Link
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------Link / NHL Link
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-------Link
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-------Link / NHL Link
Chris TerryMilwaukee Admirals (NSH)LW/RW361989-04-07CANNo195 Lbs5 ft10NoNoFree AgentNoNo22024-02-06FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Link
Collin AdamsMilwaukee Admirals (NSH)LW271998-04-24USAYes200 Lbs5 ft9NoNoN/ANoNo12025-03-14FalseFalsePro & Farm800,000$0$0$No---------------------------Link
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------Link / NHL Link
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------Link
Devin ShoreMilwaukee Admirals (NSH)C/RW301994-07-19CANNo206 Lbs6 ft1NoNoFree AgentNoNo22024-01-28FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Link / NHL Link
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--------Link
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-------Link
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-------Link / NHL Link
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---------------------------Link
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-------Link / NHL Link
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---------------------------Link
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------Link / NHL Link
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------Link / NHL Link
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---------------------------Link / NHL Link
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------Link / NHL Link
Rocco GrimaldiMilwaukee Admirals (NSH)C321993-02-08USANo180 Lbs5 ft6NoNoFree AgentNoNo22024-02-06FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Link
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-------Link
Ryan SheaMilwaukee Admirals (NSH)D281997-02-11USANo190 Lbs6 ft2NoNoN/ANoNo12025-03-14FalseFalsePro & Farm775,000$0$0$No---------------------------Link / NHL Link
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--------Link / NHL Link
Urho VaakanainenMilwaukee Admirals (NSH)D261999-01-01FINYes200 Lbs6 ft2NoNoN/ANoNo12024-07-21FalseFalsePro & Farm1,100,000$0$0$No---------------------------Link / NHL Link
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---------------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3428.56199 Lbs6 ft12.261,174,191$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tanner PearsonDevin Shore40122
2Collin AdamsConnor BunnamanChris Terry30122
3Filip CederqvistLogan BrownCooper Marody20122
4Brendan SmithFrederik GauthierTanner Pearson10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Alec MartinezUrho Vaakanainen40122
2Ryan SheaBrendan Smith30122
3Xavier BernardRoland McKeown20122
4Brett LernoutAlec Martinez10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tanner PearsonDevin Shore60122
2Collin AdamsConnor BunnamanChris Terry40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Alec MartinezUrho Vaakanainen60122
2Ryan SheaXavier Bernard40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Tanner PearsonDevin Shore60122
2Collin Adams40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Alec MartinezUrho Vaakanainen60122
2Ryan SheaRoland McKeown40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Tanner Pearson60122Alec MartinezUrho Vaakanainen60122
2Devin Shore40122Ryan SheaBrendan Smith40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Tanner PearsonDevin Shore60122
2Collin Adams40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Alec MartinezUrho Vaakanainen60122
2Ryan SheaBrett Lernout40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Tanner PearsonDevin ShoreAlec MartinezUrho Vaakanainen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Tanner PearsonDevin ShoreAlec MartinezUrho Vaakanainen
Extra Forwards
Normal PowerPlayPenalty Kill
Filip Cederqvist, Logan Brown, Cooper MarodyFilip Cederqvist, Logan BrownCooper Marody
Extra Defensemen
Normal PowerPlayPenalty Kill
Xavier Bernard, Roland McKeown, Brett LernoutXavier BernardRoland McKeown, Brett Lernout
Penalty Shots
Tanner Pearson, Devin Shore, , Collin Adams, Connor Bunnaman
Goalie
#1 : Martin Jones, #2 : Pheonix Copley
Custom OT Lines Forwards
Tanner Pearson, Devin Shore, , Collin Adams, Connor Bunnaman, Filip Cederqvist, Logan Brown, Chris Terry, Cooper Marody, Frederik Gauthier
Custom OT Lines Defensemen
Alec Martinez, Urho Vaakanainen, Ryan Shea, Brett Lernout, Xavier Bernard


Filter Tips
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
OverallHomeVisitor
# VS Team 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 Canucks11000000312110000003120000000000021.00036900246965940505672581502369202150.00%20100.00%0499104747.66%589116550.56%40077051.95%111159910185101091537
2Bakersfield Condors32000010844210000105231100000032161.0008142200246965911650567258150722614744250.00%20100.00%0499104747.66%589116550.56%40077051.95%111159910185101091537
3Belleville Senators4200100113944200100113940000000000070.8751322350024696591395056725815011328191026233.33%220.00%0499104747.66%589116550.56%40077051.95%111159910185101091537
4Bridgeport Sound Tigers11000000321110000003210000000000021.00036900246965930505672581502681729000%110.00%0499104747.66%589116550.56%40077051.95%111159910185101091537
5Calgary Wranglers10000010321000000000001000001032121.000336002469659335056725815024323211100.00%10100.00%0499104747.66%589116550.56%40077051.95%111159910185101091537
6Charlotte Checkers21100000761110000005321010000023-120.50079160024696596050567258150572913593133.33%4175.00%0499104747.66%589116550.56%40077051.95%111159910185101091537
7Chicago Wolves11000000532000000000001100000053221.0005813002469659285056725815039112243266.67%110.00%0499104747.66%589116550.56%40077051.95%111159910185101091537
8Colorado Eagles53200000151322020000037-433000000126660.6001526410024696591605056725815014443511157114.29%8187.50%0499104747.66%589116550.56%40077051.95%111159910185101091537
9Grand Rapids Griffins320001001284110000006242100010066050.833122335002469659105505672581508637327344100.00%6266.67%0499104747.66%589116550.56%40077051.95%111159910185101091537
10Hartford Wolf Pack11000000101110000001010000000000021.00011201246965918505672581502891418100.00%20100.00%0499104747.66%589116550.56%40077051.95%111159910185101091537
11Henderson Silver Knights2010000146-21000000134-11010000012-110.2504711002469659655056725815052191249100.00%110.00%0499104747.66%589116550.56%40077051.95%111159910185101091537
12Hershey Bears11000000514110000005140000000000021.0005712002469659365056725815032815182150.00%000%0499104747.66%589116550.56%40077051.95%111159910185101091537
13Laval Rocket22000000927110000003121100000061541.0009172600246965958505672581505916174711100.00%110.00%0499104747.66%589116550.56%40077051.95%111159910185101091537
14Lehigh Valley Phantoms1000000112-1000000000001000000112-110.50011200246965920505672581503314719000%10100.00%0499104747.66%589116550.56%40077051.95%111159910185101091537
15Ontario Reign20002000752100010004311000100032141.000713200024696596850567258150542239393266.67%2150.00%0499104747.66%589116550.56%40077051.95%111159910185101091537
16Providence Bruins11000000514000000000001100000051421.000591400246965948505672581502911152122100.00%000%0499104747.66%589116550.56%40077051.95%111159910185101091537
17Rochester Americans11000000431110000004310000000000021.0004610002469659375056725815046151218000%110.00%0499104747.66%589116550.56%40077051.95%111159910185101091537
18Rockford IceHogs32100000752110000002112110000054140.667711180024696599850567258150763311892150.00%30100.00%0499104747.66%589116550.56%40077051.95%111159910185101091537
19San Diego Gulls21000100880000000000002100010088030.75081422002469659615056725815067155302150.00%10100.00%0499104747.66%589116550.56%40077051.95%111159910185101091537
20San Jose Barracuda2110000068-2110000004311010000025-320.50061016002469659635056725815068261150100.00%3166.67%0499104747.66%589116550.56%40077051.95%111159910185101091537
21Springfield Thunderbirds613001101621-540300100917-82100001074350.417162844002469659227505672581502035412311410220.00%14657.14%1499104747.66%589116550.56%40077051.95%111159910185101091537
22Syracuse Crunch1010000024-2000000000001010000024-200.0002461024696594550567258150321020233133.33%000%0499104747.66%589116550.56%40077051.95%111159910185101091537
23Texas Stars22000000817110000006061100000021141.000814220124696596750567258150522719433133.33%20100.00%0499104747.66%589116550.56%40077051.95%111159910185101091537
24Toronto Marlies1010000013-2000000000001010000013-200.0001230024696593150567258150225823200.00%4250.00%0499104747.66%589116550.56%40077051.95%111159910185101091537
25Tuscon Roadrunners11000000321110000003210000000000021.000358002469659415056725815020322811100.00%110.00%0499104747.66%589116550.56%40077051.95%111159910185101091537
26Utica Comets22000000743110000004221100000032141.00071118002469659675056725815060134145100.00%3166.67%0499104747.66%589116550.56%40077051.95%111159910185101091537
27Wilkes-Barre/Scranton Penguins1010000013-2000000000001010000013-200.00012300246965925505672581503011420100.00%2150.00%0499104747.66%589116550.56%40077051.95%111159910185101091537
Total532912033331641273727165021128663232613701221786414760.71716427944312246965917865056725815015475025341222662740.91%682464.71%1499104747.66%589116550.56%40077051.95%111159910185101091537
_Since Last GM Reset532912033331641273727165021128663232613701221786414760.71716427944312246965917865056725815015475025341222662740.91%682464.71%1499104747.66%589116550.56%40077051.95%111159910185101091537
_Vs Conference33189002311027824168500111494181710400120533716450.682102174276012469659112550567258150955324325780431739.53%501668.00%1499104747.66%589116550.56%40077051.95%111159910185101091537
_Vs Division17860021049427925001002327-486100110261511200.58849841330124696595935056725815049516020638923626.09%28871.43%1499104747.66%589116550.56%40077051.95%111159910185101091537

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5376SOL116427944317861547502534122212
All Games
GPWLOTWOTL SOWSOLGFGA
5329123333164127
Home Games
GPWLOTWOTL SOWSOLGFGA
2716521128663
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2613712217864
Last 10 Games
WLOTWOTL SOWSOL
540001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
662740.91%682464.71%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
505672581502469659
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
499104747.66%589116550.56%40077051.95%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
111159910185101091537


Last Played Games
Filter Tips
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
111Springfield Thunderbirds5Milwaukee Admirals1LBoxScore
331Belleville Senators2Milwaukee Admirals3WBoxScore
551Milwaukee Admirals3Grand Rapids Griffins2WBoxScore
666Bakersfield Condors1Milwaukee Admirals2WXXBoxScore
1094Milwaukee Admirals4Springfield Thunderbirds2WBoxScore
11104Belleville Senators3Milwaukee Admirals4WXBoxScore
13131Belleville Senators1Milwaukee Admirals4WBoxScore
14148Milwaukee Admirals5San Diego Gulls6LXBoxScore
16163Springfield Thunderbirds3Milwaukee Admirals2LXBoxScore
17175Milwaukee Admirals2Colorado Eagles1WBoxScore
18193Milwaukee Admirals2Texas Stars1WBoxScore
19200Rockford IceHogs1Milwaukee Admirals2WBoxScore
21224San Jose Barracuda3Milwaukee Admirals4WBoxScore
24250Milwaukee Admirals3Calgary Wranglers2WXXBoxScore
25263Bakersfield Condors1Milwaukee Admirals3WBoxScore
27290Belleville Senators3Milwaukee Admirals2LXXBoxScore
28305Milwaukee Admirals3Bakersfield Condors2WBoxScore
29317Milwaukee Admirals4Rockford IceHogs1WBoxScore
30322Colorado Eagles3Milwaukee Admirals2LBoxScore
32353Texas Stars0Milwaukee Admirals6WBoxScore
33364Milwaukee Admirals1Toronto Marlies3LBoxScore
34378Milwaukee Admirals3Grand Rapids Griffins4LXBoxScore
35386Abbotsford Canucks1Milwaukee Admirals3WBoxScore
37415Charlotte Checkers3Milwaukee Admirals5WBoxScore
39434Milwaukee Admirals3Springfield Thunderbirds2WXXBoxScore
40448Ontario Reign3Milwaukee Admirals4WXBoxScore
42467Milwaukee Admirals1Wilkes-Barre/Scranton Penguins3LBoxScore
43473Milwaukee Admirals1Rockford IceHogs3LBoxScore
44483Grand Rapids Griffins2Milwaukee Admirals6WBoxScore
46513Henderson Silver Knights4Milwaukee Admirals3LXXBoxScore
47523Milwaukee Admirals6Colorado Eagles2WBoxScore
49545Laval Rocket1Milwaukee Admirals3WBoxScore
51561Milwaukee Admirals1Henderson Silver Knights2LBoxScore
52577Springfield Thunderbirds3Milwaukee Admirals2LBoxScore
53589Milwaukee Admirals6Laval Rocket1WBoxScore
55603Milwaukee Admirals2Charlotte Checkers3LBoxScore
56615Tuscon Roadrunners2Milwaukee Admirals3WBoxScore
57633Milwaukee Admirals5Chicago Wolves3WBoxScore
59643Rochester Americans3Milwaukee Admirals4WBoxScore
61669Milwaukee Admirals5Providence Bruins1WBoxScore
62674Bridgeport Sound Tigers2Milwaukee Admirals3WBoxScore
63688Milwaukee Admirals3Utica Comets2WBoxScore
65705Hershey Bears1Milwaukee Admirals5WBoxScore
66724Milwaukee Admirals2Syracuse Crunch4LBoxScore
67737Milwaukee Admirals3Ontario Reign2WXBoxScore
68744Springfield Thunderbirds6Milwaukee Admirals4LBoxScore
71773Colorado Eagles4Milwaukee Admirals1LBoxScore
72789Milwaukee Admirals4Colorado Eagles3WBoxScore
74799Milwaukee Admirals2San Jose Barracuda5LBoxScore
75813Hartford Wolf Pack0Milwaukee Admirals1WBoxScore
76833Utica Comets2Milwaukee Admirals4WBoxScore
78851Milwaukee Admirals3San Diego Gulls2WBoxScore
79861Milwaukee Admirals1Lehigh Valley Phantoms2LXXBoxScore
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-
Trade Deadline --- Trades can’t be done after this day is simulated!
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-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3316
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
14 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
2,479,670$ 3,992,250$ 3,992,250$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
31,189$ 2,479,670$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 49 31,189$ 1,528,261$




Milwaukee Admirals Players Stat Leaders (Regular Season)

# Player Name 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 Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Milwaukee Admirals Career Team Stats

OverallHomeVisitor
Year 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 Players Stat Leaders (Play-Off)

# Player Name 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 Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA