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

Milwaukee Admirals
GP: 6 | W: 1 | L: 3 | OTL: 2 | P: 4
GF: 14 | GA: 24 | PP%: 32.00% | PK%: 81.82%
GM : Jaryn | Morale : 40 | Team Overall : 67

Game Center
Milwaukee Admirals
1-3-2, 4pts
1
FINAL
3 San Diego Gulls
5-1-0, 14pts
Team Stats
SOL1StreakW2
0-1-2Home Record3-0-0
1-2-0Home Record2-1-0
1-3-2Last 10 Games5-1-0
2.33Goals Per Game3.00
4.00Goals Against Per Game2.17
32.00%Power Play Percentage20.69%
81.82%Penalty Kill Percentage82.14%
Bloomington Bison
4-1-1, 12pts
4
FINAL
3 Milwaukee Admirals
1-3-2, 4pts
Team Stats
W3StreakSOL1
2-0-1Home Record0-1-2
2-1-0Home Record1-2-0
4-1-1Last 10 Games1-3-2
4.00Goals Per Game2.33
3.17Goals Against Per Game4.00
34.62%Power Play Percentage32.00%
68.18%Penalty Kill Percentage81.82%
Team Leaders
Goals
Adam Henrique
4
Assists
Adam Henrique
5
Points
Adam Henrique
9
Plus/Minus
Michael Kapla
0
Wins
SAMI RAJANIEMI
1
Save Percentage
SAMI RAJANIEMI
0.929

Team Stats
Goals For
14
2.33 GFG
Shots For
160
26.67 Avg
Power Play Percentage
32.0%
8 GF
Offensive Zone Start
34.4%
Goals Against
24
4.00 GAA
Shots Against
227
37.83 Avg
Penalty Kill Percentage
81.8%%
4 GA
Defensive Zone Start
41.8%
Team Info

General ManagerJaryn
DivisionPacific Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team23
Farm Team20
Contract Limit43 / 250
Prospects10


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
1Reilly Smith0X100.0067408177618078716275696871817855407003411,700,000$
2Adam Henrique0X100.0069428072658086728773706168827555406903511,500,000$
3Walker Duehr0X100.008451796685747562556766726476825540680272500,000$
4Mark Kastelic0X100.008655616587707560786463726275715540670262800,000$
5Pontus Holmberg0X100.006145767573777564696865726675665540670261500,000$
6Tyler Pitlick0X100.0087497764727569666468656563817755406603311,500,000$
7Alex Belzile0X100.007044766772707162655861706279695540640332500,000$
8Jonathan Gruden0X100.008145717960657360605661706573665540640251500,000$
9Garrett Pilon0X100.005342797268667460665662666470625540630271500,000$
10Scott Perunovich0X100.005437858965748273507760766775725540720262600,000$
11Ian Cole0X100.007656676090798763506659775588845540710362500,000$
12Parker Wotherspoon0X100.0055447976926977645065617661766955407002721,525,000$
13Ben Thomas0X100.005342827980687062506061686175675540660291500,000$
14John Gilmour0X100.005148796978707662506260685779785540660321625,000$
15Mike Reilly0X100.006144827461727765506863646177805540660313500,000$
16Julius Honka0X100.005440768347656862506461636275585840630294625,000$
17Michael Kapla0X100.005820797655727260505659665863588540630301500,000$
Scratches
1Taylor Raddysh0X100.008044827580808165676967716874795540700272749,000$
2Jere Innala0X100.005240777261636360605659676276765540620271500,000$
3Anton Lindholm0X100.005115797845565559505659655964598040600301500,000$
TEAM AVERAGE100.00654277737071746459646369637671584066
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
1KARI PIIROINEN0100.00816060767774757777747567565240710241250,000$
2SAMI RAJANIEMI0100.00766060747373747272737078655240700321250,000$
Scratches
1MARKUS RUUSU0100.00816060787472737373727172615240700271250,000$
TEAM AVERAGE100.0079606076757374747473727261524070
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
1Adam HenriqueMilwaukee Admirals (SJS)C6459-313513162271818.18%313722.973368200001100150.94%15915001.3101010010
2Taylor RaddyshMilwaukee Admirals (SJS)RW6415-25512203061713.33%315325.662136200000190137.50%5624000.6502100001
3Jonathan GrudenMilwaukee Admirals (SJS)LW6044-39515117580%112520.83033118000050077.78%912000.6400010000
4Tyler PitlickMilwaukee Admirals (SJS)RW6123-42010882712.50%07813.110000000000000%210000.7600000000
5Mark KastelicMilwaukee Admirals (SJS)C6112-511510961116.67%010217.12112114000000149.09%5525000.3900001001
6Mike ReillyMilwaukee Admirals (SJS)D6112-2121031121050.00%711118.53112113000011000%011000.3600200000
7Reilly SmithMilwaukee Admirals (SJS)RW6112-4201210137117.69%413622.701122140000190050.00%1441000.2902000000
8Scott PerunovichMilwaukee Admirals (SJS)D6022-70071419550%516026.77022521000123000%078000.2500000000
9Walker DuehrMilwaukee Admirals (SJS)RW6112-740151216356.25%210016.770000000011000100.00%121000.4000000000
10Garrett PilonMilwaukee Admirals (SJS)C6011-5002118350%28514.3100000000080054.55%4441000.2300000000
11Ian ColeMilwaukee Admirals (SJS)D6011-6382091010220%1014323.98000117000017000%025000.1400022000
12Parker WotherspoonMilwaukee Admirals (SJS)D6011-2751108220%1011419.14011111000013000%033000.1700010000
13Pontus HolmbergMilwaukee Admirals (SJS)RW6101-2751015102110.00%310617.75000014000011025.00%430000.1900001000
14Alex BelzileMilwaukee Admirals (SJS)RW6000-100130010%0305.1400001000010037.50%80000000000000
15Anton LindholmMilwaukee Admirals (SJS)D5000-420001010%3326.440000100000000%00000000000000
16Ben ThomasMilwaukee Admirals (SJS)D6000-1201100100%46611.090000000007000%00100000000000
17John GilmourMilwaukee Admirals (SJS)D6000-100270000%46811.340000400000000%01000000000000
18Julius HonkaMilwaukee Admirals (SJS)D6000-300010000%0366.040000000002000%00000000000000
19Michael KaplaMilwaukee Admirals (SJS)D1000000000000%055.850000000000000%00000000000000
Team Total or Average108142135-621146012317816047848.75%61179716.64813212617500031541348.86%3523437000.3905354012
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
1Daniil TarasovSan Jose Sharks44000.9172.47243001012056100042000
2SAMI RAJANIEMIMilwaukee Admirals (SJS)21010.9292.291050045630000.333315000
3KARI PIIROINENMilwaukee Admirals (SJS)50310.8954.05267001817191000.667351100
Team Total or Average115320.9083.126160032347177106108100


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 RemainingSalary 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
Adam HenriqueMilwaukee Admirals (SJS)C351990-02-06CANNo194 Lbs6 ft0NoNoTrade2025-11-13NoNo12025-09-30FalseFalsePro & Farm1,500,000$1,500,000$0$0$No---------------------------Link
Alex BelzileMilwaukee Admirals (SJS)RW331991-08-31CANNo196 Lbs6 ft0NoNoFree AgentNoNo22025-10-20FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------500,000$--------No--------Link
Anton LindholmMilwaukee Admirals (SJS)D301994-11-29SWENo191 Lbs5 ft11NoNoFree AgentNoNo12025-11-24FalseFalsePro & Farm500,000$500,000$0$0$No---------------------------
Ben ThomasMilwaukee Admirals (SJS)D291996-05-28CANNo187 Lbs6 ft1NoNoTrade2025-11-13NoNo12025-10-27FalseFalsePro & Farm500,000$500,000$0$0$No---------------------------Link
Garrett PilonMilwaukee Admirals (SJS)C271998-04-13CANNo192 Lbs6 ft0NoNoFree AgentNoNo12025-11-24FalseFalsePro & Farm500,000$500,000$0$0$No---------------------------Link
Ian Cole (1 Way Contract)Milwaukee Admirals (SJS)D361989-02-21USANo225 Lbs6 ft1NoNoFree AgentNoNo22025-10-27FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------500,000$--------No--------Link
Jere InnalaMilwaukee Admirals (SJS)LW271998-03-17FINNo183 Lbs5 ft9NoNoFree AgentNoNo12025-11-24FalseFalsePro & Farm500,000$500,000$0$0$No---------------------------Link
John GilmourMilwaukee Admirals (SJS)D321993-05-17CANNo207 Lbs6 ft0NoNoTrade2025-11-13NoNo12025-09-30FalseFalsePro & Farm625,000$625,000$0$0$No---------------------------
Jonathan GrudenMilwaukee Admirals (SJS)LW252000-05-04USANo172 Lbs6 ft0NoNoTrade2025-11-13NoNo12025-10-20FalseFalsePro & Farm500,000$500,000$0$0$No---------------------------Link
Julius HonkaMilwaukee Admirals (SJS)D291995-12-03FINNo180 Lbs5 ft11NoNoTrade2025-11-13NoNo42025-10-24FalseFalsePro & Farm625,000$625,000$0$0$No625,000$625,000$625,000$------625,000$625,000$625,000$------NoNoNo------
KARI PIIROINEN (1 Way Contract)Milwaukee Admirals (SJS)G242001-07-01FINNo176 Lbs6 ft1NoNoFree AgentNoNo12025-11-24FalseFalseFarm Only250,000$250,000$0$0$No---------------------------Link
MARKUS RUUSU (1 Way Contract)Milwaukee Admirals (SJS)G271997-08-23FINNo176 Lbs6 ft2NoNoFree AgentNoNo12025-11-24FalseFalseFarm Only250,000$250,000$0$0$No---------------------------Link
Mark KastelicMilwaukee Admirals (SJS)C261999-03-11USANo209 Lbs6 ft4NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm800,000$800,000$0$0$No800,000$--------800,000$--------No--------Link
Michael KaplaMilwaukee Admirals (SJS)D301994-09-19USANo201 Lbs6 ft0NoNoFree AgentNoNo12025-11-24FalseFalsePro & Farm500,000$500,000$0$0$No---------------------------Link
Mike ReillyMilwaukee Admirals (SJS)D311993-07-13USANo196 Lbs6 ft1NoNoFree AgentNoNo32025-10-27FalseFalsePro & Farm500,000$500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link
Parker WotherspoonMilwaukee Admirals (SJS)D271997-08-24CANNo190 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,525,000$1,525,000$0$0$No1,525,000$--------1,525,000$--------No--------Link
Pontus HolmbergMilwaukee Admirals (SJS)RW261999-03-09SWENo187 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$500,000$0$0$No---------------------------Link
Reilly SmithMilwaukee Admirals (SJS)RW341991-04-01CANNo185 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,700,000$1,700,000$0$0$No---------------------------Link
SAMI RAJANIEMI (1 Way Contract)Milwaukee Admirals (SJS)G321992-08-20FINNo183 Lbs6 ft0NoNoFree AgentNoNo12025-11-24FalseFalseFarm Only250,000$250,000$0$0$No---------------------------Link
Scott PerunovichMilwaukee Admirals (SJS)D261998-08-18USANo174 Lbs5 ft10NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm600,000$600,000$0$0$No600,000$--------600,000$--------No--------Link
Taylor RaddyshMilwaukee Admirals (SJS)RW271998-02-18CANNo198 Lbs6 ft3NoNoFree AgentNoNo22025-11-01FalseFalsePro & Farm749,000$749,000$0$0$No749,000$--------749,000$--------No--------Link
Tyler PitlickMilwaukee Admirals (SJS)RW331991-11-01USANo201 Lbs6 ft2NoNoTrade2025-11-13NoNo12025-09-30FalseFalsePro & Farm1,500,000$1,500,000$0$0$No---------------------------Link
Walker DuehrMilwaukee Admirals (SJS)RW271997-11-23USANo209 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------500,000$--------No--------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2329.26192 Lbs6 ft01.52690,174$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jonathan GrudenAdam Henrique40122
2Walker DuehrMark KastelicReilly Smith30122
3Garrett PilonWalker Duehr20122
4Adam HenriqueReilly SmithPontus Holmberg10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Scott PerunovichIan Cole40122
2Parker WotherspoonMike Reilly30122
3John GilmourBen Thomas20122
4Michael KaplaJulius Honka10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jonathan GrudenAdam Henrique60122
2Walker DuehrMark KastelicReilly Smith40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Scott PerunovichIan Cole60122
2Parker WotherspoonMike Reilly40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Reilly Smith60122
2Adam HenriqueWalker Duehr40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Scott PerunovichIan Cole60122
2Parker WotherspoonMike Reilly40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Scott PerunovichIan Cole60122
2Reilly Smith40122Parker WotherspoonMike Reilly40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Reilly Smith60122
2Adam HenriqueWalker Duehr40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Scott PerunovichIan Cole60122
2Parker WotherspoonMike Reilly40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jonathan GrudenAdam HenriqueScott PerunovichIan Cole
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jonathan GrudenAdam HenriqueScott PerunovichIan Cole
Extra Forwards
Normal PowerPlayPenalty Kill
Tyler Pitlick, Alex Belzile, Pontus HolmbergTyler Pitlick, Alex BelzilePontus Holmberg
Extra Defensemen
Normal PowerPlayPenalty Kill
John Gilmour, Ben Thomas, Michael KaplaJohn GilmourBen Thomas, Michael Kapla
Penalty Shots
, Reilly Smith, Adam Henrique, Walker Duehr, Pontus Holmberg
Goalie
#1 : SAMI RAJANIEMI, #2 : KARI PIIROINEN
Custom OT Lines Forwards
, Reilly Smith, Adam Henrique, Walker Duehr, Pontus Holmberg, Mark Kastelic, Tyler Pitlick, Jonathan Gruden, Alex Belzile, Garrett Pilon
Custom OT Lines Defensemen
Scott Perunovich, Ian Cole, Parker Wotherspoon, Mike Reilly, John Gilmour


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
1Bloomington Bison200010019901000000134-11000100065130.500914230034616546514721722029427457.14%7185.71%06011651.72%7614153.90%368045.00%115541356012162
2Greensboro Gargoyles2020000029-71010000013-21010000016-500.0002350034614346514721781938357114.29%9277.78%06011651.72%7614153.90%368045.00%115541356012162
3San Diego Gulls2010000136-31000000123-11010000013-210.16734700346152465147217722474611327.27%6183.33%06011651.72%7614153.90%368045.00%115541356012162
Total603010021424-1030100002610-430201000814-640.222142135003461160465147212276111412325832.00%22481.82%06011651.72%7614153.90%368045.00%115541356012162
_Since Last GM Reset603010021424-1030100002610-430201000814-640.222142135003461160465147212276111412325832.00%22481.82%06011651.72%7614153.90%368045.00%115541356012162
_Vs Conference401010021215-32000000257-22010100078-140.3331218300034611174651472114942768818738.89%13284.62%06011651.72%7614153.90%368045.00%115541356012162
_Vs Division401010021215-32000000257-22010100078-140.3331218300034611174651472114942768818738.89%13284.62%06011651.72%7614153.90%368045.00%115541356012162

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
64SOL11421351602276111412300
All Games
GPWLOTWOTL SOWSOLGFGA
60310021424
Home Games
GPWLOTWOTL SOWSOLGFGA
3010002610
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3021000814
Last 10 Games
WLOTWOTL SOWSOL
130002
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
25832.00%22481.82%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
465147213461
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
6011651.72%7614153.90%368045.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
115541356012162


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
Trade Deadline --- Trades can’t be done after this day is simulated!
12Milwaukee Admirals6Bloomington Bison5WXBoxScore
315San Diego Gulls3Milwaukee Admirals2LXXBoxScore
530Greensboro Gargoyles3Milwaukee Admirals1LBoxScore
744Milwaukee Admirals1Greensboro Gargoyles6LBoxScore
957Milwaukee Admirals1San Diego Gulls3LBoxScore
1172Bloomington Bison4Milwaukee Admirals3LXXBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

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

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 1,462,400$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




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