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Milwaukee Admirals
GP: 5 | W: 3 | L: 2
GF: 19 | GA: 18 | PP%: 23.33% | PK%: 77.78%
GM : Luc Séguin | Morale : 40 | Team Overall : 67
Next Games #43 vs Peoria Rivermen

Game Center
Peoria Rivermen
2-3-0, 4pts
3
FINAL
4 Milwaukee Admirals
3-2-0, 6pts
Team Stats
W1StreakL1
2-1-0Home Record2-0-0
0-2-0Home Record1-2-0
2-3-0Last 10 Games3-1-1
3.60Goals Per Game3.80
3.80Goals Against Per Game3.60
22.22%Power Play Percentage23.33%
76.67%Penalty Kill Percentage77.78%
Milwaukee Admirals
3-2-0, 6pts
2
FINAL
5 Peoria Rivermen
2-3-0, 4pts
Team Stats
L1StreakW1
2-0-0Home Record2-1-0
1-2-0Home Record0-2-0
3-1-1Last 10 Games2-3-0
3.80Goals Per Game3.60
3.60Goals Against Per Game3.80
23.33%Power Play Percentage22.22%
77.78%Penalty Kill Percentage76.67%
Peoria Rivermen
2-3-0, 4pts
Day 6
Milwaukee Admirals
3-2-0, 6pts
Team Stats
W1StreakL1
2-1-0Home Record2-0-0
0-2-0Away Record1-2-0
2-3-0Last 10 Games3-1-1
3.60Goals Per Game3.80
3.80Goals Against Per Game3.80
22.22%Power Play Percentage23.33%
76.67%Penalty Kill Percentage77.78%
Milwaukee Admirals
3-2-0, 6pts
Day 7
Peoria Rivermen
2-3-0, 4pts
Team Stats
L1StreakW1
2-0-0Home Record2-1-0
1-2-0Away Record0-2-0
3-1-1Last 10 Games2-3-0
3.80Goals Per Game3.60
3.60Goals Against Per Game3.60
23.33%Power Play Percentage22.22%
77.78%Penalty Kill Percentage76.67%
Team Leaders
Goals
Wes Walz
3
Assists
Wes Walz
4
Points
Wes Walz
7
Plus/Minus
Wes Walz
2
Wins
Glen Hanlon
3
Save Percentage
Glen Hanlon
0.864

Team Stats
Goals For
19
3.80 GFG
Shots For
171
34.20 Avg
Power Play Percentage
23.3%
7 GF
Offensive Zone Start
44.8%
Goals Against
18
3.60 GAA
Shots Against
132
26.40 Avg
Penalty Kill Percentage
77.8%%
4 GA
Defensive Zone Start
35.4%
Team Info

General ManagerLuc Séguin
CoachCliff Koroll
DivisionNorris
ConferenceConference 1
CaptainShaun Van Allen
Assistant #1Marty McInnis
Assistant #2Timo Blomqvist


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team31
Farm Team19
Contract Limit50 / 250
Prospects0


Team History

This Season3-2
History337-256-59 (0.517%)
Playoff Appearances6
Playoff Record (W-L)42 - 33 (0.560%)
Stanley Cup1


Filter Tips
PriorityTypeDescription
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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)
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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
1Valeri Zelepukin (R)X100.0072347380768379795377747771666404073023170,000$
2Shaun Van Allen (C)XX100.00743187747384817077737176577374040720251650,000$
3Wes Walz (R)XX100.00745488757081767276727180685964040720223775,000$
4Dan HodgsonX100.00682789727184847478747275585757040710261660,000$
5Marty McInnis (A)XXX100.00744787757582827167757373696570040710222450,000$
6Yanic Perreault (R)X100.0068257870708282758175777371635804071021275,000$
7Brian NoonanXX100.00753584727779797062727273585859040700274700,000$
8Derrick SmithXX100.00787584738475766262676973546160040700274650,000$
9Paul DiPietro (R)X100.0072278374728282667068677266544804068021155,000$
10Juha Ylonen (R)XX100.0069258473667276716867637255605304067020255,000$
11Kip Miller (R)XXX100.00653692716370727065706764684038040640231295,000$
12Brett Harkins (R)XX100.00652586716673736864676463454443040630213250,000$
13Rob Zettler (R)X100.00705570747378777240676576405669040690243575,000$
14Timo Blomqvist (A)X100.00643374737276776638656471487367040680314350,000$
15Scott Lachance (R)X100.0067328077737778724062627652495304068019260,000$
16Jim LeavinsX100.00693277677472706638706573555862040670324350,000$
17Ken Klee (R)X100.0071456864777876654060647561344104065021155,000$
18Dan Keczmer (R)X100.00684179677470726540636669484239040630243250,000$
19Greg Brown (R)X100.00623378616572746040615865525266040620243300,000$
20Doug Zmolek (R)X100.00664057687169696740625768423432040610213200,000$
Scratches
1Jamie Baker (R)X100.00714384717676766877697174696156040690261500,000$
2Marc HabscheidXXX100.00662986707073737176707166607277040680292600,000$
3Ed Ronan (R)X100.00713180696769676644636470494242040640241400,000$
4Darrin Shannon (R)X100.00693479667469726857706868604038040640232250,000$
5Scott Pellerin (R)XX100.00663680686773696660656466595552040640223250,000$
6Rob Valicevic (R)XXX100.0071557567727374634261646760364004063021250,000$
7Kent Manderville (R)XX100.00694076656468696662615465494947040620213200,000$
8Peter AnderssonX100.00613284716870727040706870496266040660304300,000$
9Jari GronstrandX100.00613579746482787140666470565842040660292400,000$
TEAM AVERAGE100.0069378071717675695668677157545404067
Filter Tips
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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.
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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
1Glen Hanlon100.0071697375706968727572717276040710351500,000$
2Andre Racicot (R)100.0076697177747775807982803732040700233450,000$
Scratches
TEAM AVERAGE100.007469727672737276777776555404071
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Cliff Koroll50506050505060CAN46125,000$


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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.
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9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
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# 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
1Wes WalzMilwaukee Admirals (CHI)C/RW5347220681531020.00%49919.85134426000160061.54%1300001.4100000010
2Timo BlomqvistMilwaukee Admirals (CHI)D53361003292833.33%16513.12213622101121100%000001.8300000001
3Shaun Van AllenMilwaukee Admirals (CHI)C/LW52460401112204910.00%111422.830119230110180081.82%1100001.0500000100
4Yanic PerreaultMilwaukee Admirals (CHI)C53360406121515920.00%111322.711233230110171049.65%14100001.0600000010
5Valeri ZelepukinMilwaukee Admirals (CHI)LW523526095186711.11%29619.26112626000021037.50%800001.0400000101
6Scott LachanceMilwaukee Admirals (CHI)D51451003452120.00%511923.86011327000017000%000000.8400000100
7Marty McInnisMilwaukee Admirals (CHI)C/LW/RW5044-120610127140%010521.1702212300021000100.00%700000.7600000001
8Dan HodgsonMilwaukee Admirals (CHI)C512320031516376.25%110721.400112260001130053.50%15700000.5600000000
9Dan KeczmerMilwaukee Admirals (CHI)D5112-1002220250.00%37915.900000100000000%000000.5000000010
10Rob ZettlerMilwaukee Admirals (CHI)D511211209311269.09%211122.3411292700009000%000000.3600000000
11Juha YlonenMilwaukee Admirals (CHI)C/LW5022-300345640%16212.4400000000000066.67%300000.6400000000
12Brian NoonanMilwaukee Admirals (CHI)C/RW5011-3202611290%26212.43000100000000100.00%200000.3200000000
13Jim LeavinsMilwaukee Admirals (CHI)D51011001051420.00%66012.15101522000016000%000000.3300000000
14Doug ZmolekMilwaukee Admirals (CHI)D5011-320703000%4489.750000000000000%000000.4100000000
15Paul DiPietroMilwaukee Admirals (CHI)C5101-32055104410.00%16112.3500000000000044.62%6500000.3200000000
16Derrick SmithMilwaukee Admirals (CHI)C/LW5000-100610100%0214.380000000000000%00000000000000
17Greg BrownMilwaukee Admirals (CHI)D5000-300021010%0489.770000000000000%00000000000000
18Kip MillerMilwaukee Admirals (CHI)C/LW/RW5000-100025130%0224.4600000000000050.00%20000000000000
19Brett HarkinsMilwaukee Admirals (CHI)C/LW5000-100014140%0214.3800000000000030.00%200000000000000
20Ken KleeMilwaukee Admirals (CHI)D5000-160224030%38216.440001100003000%00000000000000
Team Total or Average100193352-1142084961716010511.11%37150415.05713205025512351373051.52%42900000.6900000333
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
1Glen HanlonMilwaukee Admirals (CHI)53110.8643.5130800181320100050001
Team Total or Average53110.8643.513080018132010050001


Filter Tips
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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
Andre RacicotMilwaukee Admirals (CHI)G231969-06-09CANYes165 Lbs5 ft11NoNoAssign ManuallyNoNo32026-03-09FalseFalsePro & Farm450,000$0$0$No450,000$450,000$-------450,000$450,000$-------NoNo-------Link
Brett HarkinsMilwaukee Admirals (CHI)C/LW211970-07-02USAYes172 Lbs5 ft11NoNoAssign ManuallyNoNo32026-03-09FalseFalsePro & Farm250,000$0$0$No250,000$250,000$-------250,000$250,000$-------NoNo-------Link
Brian NoonanMilwaukee Admirals (CHI)C/RW271965-05-29USANo200 Lbs6 ft1NoNoN/ANoNo42026-03-10FalseFalsePro & Farm700,000$0$0$No700,000$700,000$700,000$------700,000$700,000$700,000$------NoNoNo------Link
Dan HodgsonMilwaukee Admirals (CHI)C261965-10-29CANNo175 Lbs5 ft10NoNoTrade2024-11-19NoNo12026-03-10FalseFalsePro & Farm660,000$0$0$No---------------------------Link
Dan KeczmerMilwaukee Admirals (CHI)D241968-05-25USAYes180 Lbs6 ft1NoNoN/ANoNo32026-03-09FalseFalsePro & Farm250,000$0$0$No250,000$250,000$-------250,000$250,000$-------NoNo-------Link
Darrin ShannonMilwaukee Admirals (CHI)LW231969-06-29CANYes205 Lbs6 ft2NoNoFree AgentNoNo22026-03-01FalseFalsePro & Farm250,000$0$0$No250,000$--------250,000$--------No--------Link
Derrick SmithMilwaukee Admirals (CHI)C/LW271965-01-22CANNo215 Lbs6 ft2NoNoN/ANoNo42026-03-10FalseFalsePro & Farm650,000$0$0$No650,000$650,000$650,000$------650,000$650,000$650,000$------NoNoNo------Link
Doug ZmolekMilwaukee Admirals (CHI)D211970-11-03USAYes220 Lbs6 ft2NoNoAssign ManuallyNoNo32026-03-09FalseFalsePro & Farm200,000$0$0$No200,000$200,000$-------200,000$200,000$-------NoNo-------Link
Ed RonanMilwaukee Admirals (CHI)RW241968-03-21USAYes197 Lbs6 ft1NoNoN/ANoNo12025-01-06FalseFalsePro & Farm400,000$0$0$No---------------------------Link
Glen HanlonMilwaukee Admirals (CHI)G351957-02-20CANNo185 Lbs6 ft0NoNoWaiverNoNo12024-01-21FalseFalsePro & Farm500,000$0$0$No---------------------------Link
Greg BrownMilwaukee Admirals (CHI)D241968-03-07USAYes203 Lbs6 ft0NoNoFree AgentNoNo32026-03-29FalseFalsePro & Farm300,000$0$0$No300,000$300,000$-------300,000$300,000$-------NoNo-------Link
Jamie BakerMilwaukee Admirals (CHI)C261966-06-29CANYes190 Lbs6 ft1NoNoTrade2024-06-27NoNo12025-07-28FalseFalsePro & Farm500,000$0$0$No---------------------------Link
Jari GronstrandMilwaukee Admirals (CHI)D291962-11-14FINNo195 Lbs6 ft3NoNoFree AgentNoNo22025-01-20FalseFalsePro & Farm400,000$0$0$No400,000$--------400,000$--------No--------Link
Jim LeavinsMilwaukee Admirals (CHI)D321960-06-29CANNo185 Lbs5 ft11NoNoFree AgentNoNo42026-04-07FalseFalsePro & Farm350,000$0$0$No350,000$350,000$350,000$------350,000$350,000$350,000$------NoNoNo------Link
Juha YlonenMilwaukee Admirals (CHI)C/LW201972-02-13FINYes180 Lbs6 ft1NoNoAssign ManuallyNoNo22025-07-11FalseFalsePro & Farm55,000$0$0$No55,000$--------55,000$--------No--------Link
Ken KleeMilwaukee Admirals (CHI)D211971-04-24USAYes205 Lbs6 ft1NoNoTrade2025-05-22NoNo12024-12-23FalseFalsePro & Farm55,000$0$0$No---------------------------Link
Kent MandervilleMilwaukee Admirals (CHI)C/LW211971-04-12CANYes207 Lbs6 ft3NoNoAssign ManuallyNoNo32026-03-09FalseFalsePro & Farm200,000$0$0$No200,000$200,000$-------200,000$200,000$-------NoNo-------Link
Kip MillerMilwaukee Admirals (CHI)C/LW/RW231969-06-11USAYes190 Lbs5 ft10NoNoTrade2025-01-11NoNo12025-01-09FalseFalsePro & Farm295,000$0$0$No---------------------------Link
Marc HabscheidMilwaukee Admirals (CHI)C/LW/RW291963-03-01CANNo185 Lbs6 ft0NoNoN/ANoNo22025-01-06FalseFalsePro & Farm600,000$0$0$No600,000$--------600,000$--------No--------Link
Marty McInnisMilwaukee Admirals (CHI)C/LW/RW221970-06-02USANo190 Lbs5 ft11NoNoTrade2025-05-22NoNo22025-07-28FalseFalsePro & Farm450,000$0$0$No450,000$--------450,000$--------No--------Link
Paul DiPietroMilwaukee Admirals (CHI)C211970-09-08CANYes180 Lbs5 ft8NoNoAssign ManuallyNoNo12024-12-23FalseFalsePro & Farm55,000$0$0$No---------------------------Link
Peter AnderssonMilwaukee Admirals (CHI)D301962-03-02SWENo200 Lbs6 ft2NoNoFree AgentNoNo42026-04-07FalseFalsePro & Farm300,000$0$0$No300,000$300,000$300,000$------300,000$300,000$300,000$------NoNoNo------Link
Rob ValicevicMilwaukee Admirals (CHI)C/LW/RW211971-01-06USAYes195 Lbs6 ft1NoNoAssign ManuallyNoNo22025-07-11FalseFalsePro & Farm50,000$0$0$No50,000$--------50,000$--------No--------Link
Rob ZettlerMilwaukee Admirals (CHI)D241968-03-08CANYes199 Lbs6 ft3NoNoTrade2025-02-18NoNo32026-03-09FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------Link
Scott LachanceMilwaukee Admirals (CHI)D191972-10-22USAYes209 Lbs6 ft1NoNoAssign ManuallyNoNo22025-07-11FalseFalsePro & Farm60,000$0$0$No60,000$--------60,000$--------No--------Link
Scott PellerinMilwaukee Admirals (CHI)LW/RW221970-01-09CANYes190 Lbs5 ft11NoNoAssign ManuallyNoNo32026-03-09FalseFalsePro & Farm250,000$0$0$No250,000$250,000$-------250,000$250,000$-------NoNo-------Link
Shaun Van AllenMilwaukee Admirals (CHI)C/LW251967-06-29CANNo210 Lbs6 ft1NoNoTrade2024-10-15NoNo12025-01-06FalseFalsePro & Farm650,000$0$0$No---------------------------Link
Timo BlomqvistMilwaukee Admirals (CHI)D311961-01-23FINNo200 Lbs6 ft0NoNoFree AgentNoNo42026-04-07FalseFalsePro & Farm350,000$0$0$No350,000$350,000$350,000$------350,000$350,000$350,000$------NoNoNo------Link
Valeri ZelepukinMilwaukee Admirals (CHI)LW231968-09-17RUSYes207 Lbs6 ft0NoNoTrade2026-03-09NoNo12024-12-23FalseFalsePro & Farm70,000$0$0$No---------------------------Link
Wes WalzMilwaukee Admirals (CHI)C/RW221970-05-15CANYes180 Lbs5 ft10NoNoTrade2025-12-31NoNo32026-03-10FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Link
Yanic PerreaultMilwaukee Admirals (CHI)C211971-04-04CANYes189 Lbs5 ft11NoNoTrade2025-12-31NoNo22025-07-11FalseFalsePro & Farm75,000$0$0$No75,000$--------75,000$--------No--------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3124.42194 Lbs6 ft02.32345,968$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Shaun Van AllenYanic PerreaultMarty McInnis35113
2Valeri ZelepukinDan HodgsonWes Walz35113
3Juha YlonenPaul DiPietroBrian Noonan25122
4Derrick SmithBrett HarkinsKip Miller5131
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Rob ZettlerScott Lachance38122
2Ken KleeDan Keczmer32122
3Greg BrownDoug Zmolek20131
4Timo BlomqvistJim Leavins10140
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Shaun Van AllenYanic PerreaultMarty McInnis50005
2Valeri ZelepukinDan HodgsonWes Walz50005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Rob ZettlerScott Lachance60023
2Timo BlomqvistJim Leavins40023
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Yanic PerreaultShaun Van Allen55050
2Dan HodgsonMarty McInnis45050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Rob ZettlerScott Lachance55140
2Timo BlomqvistJim Leavins45140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Yanic Perreault50050Rob ZettlerScott Lachance55050
2Dan Hodgson50050Timo BlomqvistJim Leavins45050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Yanic PerreaultShaun Van Allen55023
2Dan HodgsonMarty McInnis45023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Rob ZettlerScott Lachance55041
2Timo BlomqvistJim Leavins45041
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Shaun Van AllenYanic PerreaultMarty McInnisRob ZettlerScott Lachance
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Shaun Van AllenYanic PerreaultMarty McInnisRob ZettlerScott Lachance
Extra Forwards
Normal PowerPlayPenalty Kill
Valeri Zelepukin, Yanic Perreault, Shaun Van AllenValeri Zelepukin, Yanic PerreaultWes Walz
Extra Defensemen
Normal PowerPlayPenalty Kill
Timo Blomqvist, Rob Zettler, Scott LachanceKen KleeTimo Blomqvist, Rob Zettler
Penalty Shots
Yanic Perreault, Dan Hodgson, Marty McInnis, Wes Walz, Valeri Zelepukin
Goalie
#1 : Glen Hanlon, #2 : Andre Racicot
Custom OT Lines Forwards
Yanic Perreault, Shaun Van Allen, Marty McInnis, Dan Hodgson, Valeri Zelepukin, Wes Walz, Brian Noonan, Juha Ylonen, Paul DiPietro, Derrick Smith
Custom OT Lines Defensemen
Rob Zettler, Scott Lachance, Timo Blomqvist, Jim Leavins, Ken Klee


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.
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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
1Peoria Rivermen532000001918122000000972312000001011-160.600193352008560171585259213237428430723.33%18477.78%19519249.48%8315254.61%438550.59%13392109386633
Total532000001918122000000972312000001011-160.600193352008560171585259213237428430723.33%18477.78%19519249.48%8315254.61%438550.59%13392109386633
_Since Last GM Reset532000001918122000000972312000001011-160.600193352008560171585259213237428430723.33%18477.78%19519249.48%8315254.61%438550.59%13392109386633
_Vs Conference532000001918122000000972312000001011-160.600193352008560171585259213237428430723.33%18477.78%19519249.48%8315254.61%438550.59%13392109386633
_Vs Division532000001918122000000972312000001011-160.600193352008560171585259213237428430723.33%18477.78%19519249.48%8315254.61%438550.59%13392109386633

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
56L119335217113237428400
All Games
GPWLOTWOTL SOWSOLGFGA
53200001918
Home Games
GPWLOTWOTL SOWSOLGFGA
220000097
Visitor Games
GPWLOTWOTL SOWSOLGFGA
31200001011
Last 10 Games
WLOTWOTL SOWSOL
310100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
30723.33%18477.78%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
58525928560
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
9519249.48%8315254.61%438550.59%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
13392109386633


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
13Milwaukee Admirals4Peoria Rivermen1WBoxScore
211Milwaukee Admirals4Peoria Rivermen5LXBoxScore
319Peoria Rivermen4Milwaukee Admirals5WBoxScore
427Peoria Rivermen3Milwaukee Admirals4WBoxScore
535Milwaukee Admirals2Peoria Rivermen5LBoxScore
643Peoria Rivermen-Milwaukee Admirals-
751Milwaukee Admirals-Peoria Rivermen-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price5030
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
39 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 1,072,500$ 1,072,500$ 25,000$0$
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$ 2 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
1Brian Noonan651168226394-41296717585134512.49%74993215.265181132267101519647.46%30.79312
2Greg Hawgood40772222294-3018030939865910.93%475885021.7445851304140557840%10.6611
3Dan Hodgson327120173293128220869792313.00%64656620.0840781182401342120553.19%40.89210
4Frank Musil317761892652829548138166011.52%462744823.50426510741703351070%00.7100
5Steve Ludzik3131071562631613037075988812.05%70625119.972562872352352420754.64%00.84110

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
1Damian Rhodes1868966210.8823.44104676860050650860.77366
2Bob Mason1175737110.8953.14639910433531900410.73126
3Murray Bannerman65372050.8933.0737904319418150330.70010
4Andre Racicot109363970.8783.55511112230224710580.60015
5Glen Hanlon68342340.8663.6837390122917070150.6005

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
Regular Season
198582372806623319271484118110541215813424411917012111611372499319561880331201068511266887885988862231863387315984479721.70%3768178.46%31620295954.75%1480273254.17%750138154.31%2062142718656101056538
1986824028055132942751941181501412143140341221304101151135161002945348280393103928266787685291140240767793716394328218.98%4027481.59%41603290555.18%1459275752.92%728132155.11%2058142318596151042528
1987823334043622962906411814031501541292541152001212142161-199129652682244971018816261481683493156238770190116523968421.21%4089277.45%71573291453.98%1368271550.39%689133151.77%1983135619396271047520
19888240250265429327122411914012321401391412111014221531322110429353082315102869812239480975580665243672599716753388023.67%4308380.70%71404272651.50%1464278752.53%687134950.93%1987135819376201057525
198982283504735287305-18411812025041571451241102302231130160-30822875168034110810270112454814836757752462746100016043609025.00%4098678.97%41474277653.10%1410278850.57%713137951.70%1972134319536141062527
199082353407411309308141171803111145157-1241181604300164151139130956287141100102999249785381779735243367889415413509025.71%3959675.70%21477282052.38%1396271951.34%748140953.09%1967134319256161059527
199182303805513277292-15411915033011491331641112302212128159-3180277500777329788867253683883184831223762574614044018621.45%3157576.19%21470286651.29%1344257152.28%709134752.64%2047141518466031063542
19928237340342232030416412314012101801493141142002212140155-159032057789771116951049273585393992133230465176313534159623.13%3288773.48%51682307054.79%1410257954.67%769141754.27%2024140918766081053529
Total Regular Season6562802560364021232395231679328150113019221212122611261003281301430171891111691190-2173723954306670126208337837228320565673767236859397189845436711112466313970522.46%306367478.00%34123032303653.41%113312164852.34%57931093452.98%161031107915203491784424240
Playoff
198510550000042375633000002421342200000181621042731150013111803521101041380305108102195501020.00%46980.43%119036651.91%16633050.30%9618751.34%2341622387212662
1986106400000433855230000021210541000002217512437712000181014131511479111113138213320533927.27%571180.70%217534151.32%18535252.56%9418750.27%2451662497813868
198794500000373434220000017134523000002021-18376310000171190272929088225687131181621524.19%551180.00%017432853.05%15830352.15%9316855.36%2221492147211960
19881367000004047-77520000029245615000001123-1212407211210151681361138128932349117154247541324.07%711578.87%123445451.54%20939852.51%11322051.36%3062063079616984
1989624000002630-4312000001214-2312000001416-24264874106109117757575762044670103281139.29%34876.47%19920448.53%10421648.15%5810356.31%147100148467838
1990221660000076601612930000040301010730000036306327614221813291724668924621320525580168275440972222.68%1161884.48%444379555.72%37572951.44%18937450.53%568385511171294149
1992532000001918122000000972312000001011-16193352008560171585259213237428430723.33%18477.78%19519249.48%8315254.61%438550.59%13392109386633
Total Playoff7542330000028326419392415000001521302236181800000131134-3842835087913310680889233781572375148213964590714553548724.58%3977680.86%101410268052.61%1280248051.61%686132451.81%185812631780576993496

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
1Greg Hawgood6013385182435539214.13%73140923.5091726630221300%00.7200
2Steve Ludzik422124454166110811218.75%585520.3689173301122351.41%11.0500
3Frank Musil51103444126078529810.20%77123724.2631013640110120%00.7100
4Benoit Hogue39182139228568010117.82%1187222.38312152411231152.71%00.8900
5Garry Valk49122739852945011610.34%5106521.74612183100010052.05%00.7300

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
1Jeff Hackett2216600.8982.581371635957900100
2Damian Rhodes25121020.8673.841499009672201100
3Murray Bannerman105500.8763.83580203729801000
4Bob Mason135340.8763.51735004334601000
5Glen Hanlon53110.8643.51308001813201000