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

Milwaukee Admirals
GP: 14 | W: 3 | L: 9 | OTL: 2 | P: 8
GF: 38 | GA: 50 | PP%: 25.00% | PK%: 70.97%
GM : Keven Guy | Morale : 40 | Team Overall : 61
Next Games #223 vs Manitoba Moose

Game Center
Milwaukee Admirals
3-9-2, 8pts
3
5 Grand Rapids Griffins
6-6-2, 14pts
Team Stats
OTL1StreakL1
2-3-1Home Record5-1-1
1-6-1Home Record1-5-1
2-6-2Last 10 Games3-5-2
2.71Goals Per Game3.21
3.57Goals Against Per Game3.57
25.00%Power Play Percentage21.88%
70.97%Penalty Kill Percentage65.71%
Milwaukee Admirals
3-9-2, 8pts
4
5 Iowa Wild
5-6-3, 13pts
Team Stats
OTL1StreakOTW1
2-3-1Home Record3-3-1
1-6-1Home Record2-3-2
2-6-2Last 10 Games5-3-2
2.71Goals Per Game2.50
3.57Goals Against Per Game3.07
25.00%Power Play Percentage27.91%
70.97%Penalty Kill Percentage72.41%
Manitoba Moose
6-3-2, 14pts
Day 20
Milwaukee Admirals
3-9-2, 8pts
Team Stats
W1StreakOTL1
4-1-2Home Record2-3-1
2-2-0Away Record1-6-1
5-3-2Last 10 Games2-6-2
3.00Goals Per Game2.71
2.45Goals Against Per Game2.71
16.13%Power Play Percentage25.00%
82.61%Penalty Kill Percentage70.97%
Chicago Wolves
9-4-0, 18pts
Day 24
Milwaukee Admirals
3-9-2, 8pts
Team Stats
W1StreakOTL1
5-2-0Home Record2-3-1
4-2-0Away Record1-6-1
6-4-0Last 10 Games2-6-2
3.62Goals Per Game2.71
3.08Goals Against Per Game2.71
27.78%Power Play Percentage25.00%
78.79%Penalty Kill Percentage70.97%
Rockford IceHogs
5-7-1, 11pts
Day 26
Milwaukee Admirals
3-9-2, 8pts
Team Stats
L1StreakOTL1
2-5-0Home Record2-3-1
3-2-1Away Record1-6-1
4-6-0Last 10 Games2-6-2
2.77Goals Per Game2.71
3.85Goals Against Per Game2.71
12.50%Power Play Percentage25.00%
77.78%Penalty Kill Percentage70.97%
Team Leaders
Daniel CarrGoals
Daniel Carr
9
Jordan OesterleAssists
Jordan Oesterle
13
Jordan OesterlePoints
Jordan Oesterle
17
Daniel CarrPlus/Minus
Daniel Carr
2
Isak PoschWins
Isak Posch
3
Isak PoschSave Percentage
Isak Posch
0.881

Team Stats
Goals For
38
2.71 GFG
Shots For
386
27.57 Avg
Power Play Percentage
25.0%
8 GF
Offensive Zone Start
37.9%
Goals Against
50
3.57 GAA
Shots Against
429
30.64 Avg
Penalty Kill Percentage
71.0%%
9 GA
Defensive Zone Start
41.8%
Team Info

General ManagerKeven Guy
DivisionCentral
ConferenceWest Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets0


Roster Info

Pro Team25
Farm Team21
Contract Limit46 / 250
Prospects21


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
1Daniel CarrX100.00633979627281686164606362657577234064N0341750,000$
2Juraj Pekarcik (R)X100.007238955881678659636157586261636640620202938,333$
3Ozzy WiesblattX100.007439686467766763555852635863647640610241775,000$
4Reid SchaeferX100.007342805695756856525460595862647740610221886,667$
5Jake LucchiniX100.00623472637078606259505067567071344060N0311750,000$
6Kyle MarinoX100.00787355568763845430525557467072354060N0311750,000$
7Dalton BancroftX100.00764082568576785451535557526567424060N0251750,000$
8Massimo RizzoX100.00563693596563685765585653576466484059N0251750,000$
9Joey Willis (R)X100.006037905769778155605856545761636140590211850,000$
10Oasiz WiesblattX100.00634555576375855660595853566264454059N0221750,000$
11Ivan Ryabkin (R)X100.006045565869737157615952535459616940580193952,222$
12Austin Roest (R)X100.005838835667657553605452515562644940570221920,000$
13Jordan OesterleX100.00673495667188666530716262547674234067N0341750,000$
14Kevin GravelX100.00713795618788605930705068467374294066N0341750,000$
15Andreas EnglundX100.007955666386816658305955624870726040650301900,000$
16Andrew Gibson (R)X100.008044695889718756305452594561637440620212925,000$
17Christoffer SedoffX100.00693985577867805530565358466365424061N0241750,000$
18Tanner Molendyk (R)X100.006337936372658259306054554761638140610212909,166$
Scratches
1Ryder RolstonX100.00633795597282835760595856576466554061N0241750,000$
2Vitali Pinchuk (R)X100.0056386258626462566456525852646550405802411,025,000$
3Kalan Lind (R)X100.006146545670836953555254575661637440570212906,666$
4Jack MatierX100.0084419053936470523054515945626459406202300$
TEAM AVERAGE100.00684278597674735749585558536567534061
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
1Isak Posch (R)100.00648278856362646362646364714340610241947,500$
2T.J. Semptimphelter100.0060716775595860595860596471434058N0241750,000$
Scratches
1Magnus Chrona100.007584809474737574737574657357406702600$
TEAM AVERAGE100.0066797585656466656466656472484062
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
1Jordan OesterleMilwaukee Admirals (CHA)D1441317-2401722336712.12%2134824.860331028011022010%000000.9800000201
2Daniel CarrMilwaukee Admirals (CHA)LW149615220122664133714.06%734624.741237290000301051.16%8600000.8700000210
3Jake LucchiniMilwaukee Admirals (CHA)C146410-32013455283811.54%528920.65011830101121047.47%37500000.6900000102
4Kevin GravelMilwaukee Admirals (CHA)D143710-4208232622111.54%1830121.562131528011024000%000000.6600000000
5Christoffer SedoffMilwaukee Admirals (CHA)D14257-71002781581213.33%1322616.1911241800000000%000000.6200000000
6Andrew GibsonMilwaukee Admirals (CHA)D14257-2604591161318.18%2228220.18123427011022100%000000.5000000021
7Juraj PekarcikMilwaukee Admirals (CHA)LW14336-62083025102712.00%129020.742136260001290047.37%1900000.4100000000
8Oasiz WiesblattMilwaukee Admirals (CHA)C14156-6001836259214.00%025918.56112526000000051.58%31600000.4600000000
9Adam WilsbyCharlotte Iron CrownD6055-12022134540%914724.5602211000008000%000000.6800000000
10Massimo RizzoMilwaukee Admirals (CHA)C14055-600337194180%321715.5100000000190048.31%23600000.4600000000
11Kyle MarinoMilwaukee Admirals (CHA)RW14224-610051142092710.00%626018.60000426000000038.46%1300000.3100000000
12Dalton BancroftMilwaukee Admirals (CHA)RW14134-1403812207165.00%029120.840111300000100027.27%2200000.2700000000
13Joey WillisMilwaukee Admirals (CHA)LW14314-6005162172314.29%124117.2800000000000055.56%1800000.3300000000
14Tanner MolendykMilwaukee Admirals (CHA)D14134-260141253420.00%1221915.6700000011015000%000000.3600000000
15Reid SchaeferMilwaukee Admirals (CHA)LW14123-76033143214253.13%122616.14000001011140036.36%2200000.2700000000
16Andreas EnglundMilwaukee Admirals (CHA)D8022-36021109110%916520.630000000003000%000000.2400000000
17Ivan RyabkinMilwaukee Admirals (CHA)C14011240674100%1433.0800000000000048.15%5400000.4600000000
18Ozzy WiesblattMilwaukee Admirals (CHA)C8000000000000%000.040000000000000%00000000000000
19Austin RoestMilwaukee Admirals (CHA)C14000200001100%0201.4500001000000040.00%50000000000000
20Kalan LindMilwaukee Admirals (CHA)LW6000000000000%010.270000000000000%00000000000000
Team Total or Average2523872110-566603413343861142949.84%129417816.58815236528524641973148.46%116600000.5300000534
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
1Isak PoschMilwaukee Admirals (CHA)143820.8813.58805004840400000140001
2T.J. SemptimphelterMilwaukee Admirals (CHA)10100.9202.79430022500000014000
Team Total or Average153920.8833.53849005042900001414001


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 ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce 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
Andreas EnglundMilwaukee Admirals (CHA)D301996-01-21SWENo200 Lbs6 ft4NoNoAssign ManuallyNoNo12026-07-01FalseFalsePro & Farm900,000$0$0$No---------------------------Link / NHL Link
Andrew GibsonMilwaukee Admirals (CHA)D212005-02-13CANYes211 Lbs6 ft4NoNoDraftNoNo22026-05-26FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Link / NHL Link
Austin RoestMilwaukee Admirals (CHA)C222004-01-22CANYes184 Lbs5 ft10NoNoDraftNoNo12026-05-26FalseFalsePro & Farm920,000$0$0$No---------------------------Link / NHL Link
Christoffer SedoffMilwaukee Admirals (CHA)D242002-02-20FINNo201 Lbs6 ft1YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Link / NHL Link
Dalton BancroftMilwaukee Admirals (CHA)RW252001-02-26CANNo207 Lbs6 ft3YesNoDraftNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Link / NHL Link
Daniel CarrMilwaukee Admirals (CHA)LW341991-11-01CANNo186 Lbs6 ft0YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Link / NHL Link
Isak PoschMilwaukee Admirals (CHA)G242002-01-31SWEYes209 Lbs6 ft3NoNoTrade2026-06-28NoNo12026-05-25FalseFalsePro & Farm947,500$0$0$No---------------------------Link / NHL Link
Ivan RyabkinMilwaukee Admirals (CHA)C192007-04-25RUSYes185 Lbs5 ft11NoNoTrade2026-06-20NoNo32026-05-25FalseFalsePro & Farm952,222$0$0$No952,222$952,222$-------952,222$952,222$-------NoNo-------Link / NHL Link
Jack MatierMilwaukee Admirals (CHA)D232003-04-08CANNo205 Lbs6 ft6NoNoAssign ManuallyNoNo02026-04-17FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Jake LucchiniMilwaukee Admirals (CHA)C311995-05-09CANNo180 Lbs6 ft0YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Link / NHL Link
Joey WillisMilwaukee Admirals (CHA)LW212005-03-14USAYes184 Lbs5 ft11NoNoDraftNoNo12026-05-25FalseFalsePro & Farm850,000$0$0$No---------------------------Link / NHL Link
Jordan OesterleMilwaukee Admirals (CHA)D341992-06-25USANo181 Lbs6 ft0YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Link / NHL Link
Juraj PekarcikMilwaukee Admirals (CHA)LW202005-09-12SVKYes204 Lbs6 ft2NoNoTrade2026-06-04NoNo22026-05-25FalseFalsePro & Farm938,333$0$0$No938,333$--------938,333$--------No--------Link / NHL Link
Kalan LindMilwaukee Admirals (CHA)LW212005-01-25CANYes165 Lbs6 ft1NoNoDraftNoNo22026-05-26FalseFalsePro & Farm906,666$0$0$No906,666$--------906,666$--------No--------Link / NHL Link
Kevin GravelMilwaukee Admirals (CHA)D341992-03-06USANo205 Lbs6 ft4YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Link / NHL Link
Kyle MarinoMilwaukee Admirals (CHA)RW311995-06-01CANNo220 Lbs6 ft3YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Link / NHL Link
Magnus ChronaMilwaukee Admirals (CHA)G262000-08-28SWENo194 Lbs6 ft4NoNoAssign ManuallyNoNo02026-04-17FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Massimo RizzoMilwaukee Admirals (CHA)C252001-06-13CANNo175 Lbs5 ft10YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Link / NHL Link
Oasiz WiesblattMilwaukee Admirals (CHA)C222004-04-08CANNo180 Lbs5 ft7YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Link / NHL Link
Ozzy WiesblattMilwaukee Admirals (CHA)C242002-03-09CANNo183 Lbs5 ft10NoNoAssign ManuallyNoNo12026-04-25FalseFalsePro & Farm775,000$0$0$No---------------------------Link / NHL Link
Reid SchaeferMilwaukee Admirals (CHA)LW222003-09-21CANNo226 Lbs6 ft5NoNoAssign ManuallyNoNo12026-04-25FalseFalsePro & Farm886,667$0$0$No---------------------------Link / NHL Link
Ryder RolstonMilwaukee Admirals (CHA)RW242001-10-31USANo175 Lbs6 ft1YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Link / NHL Link
T.J. SemptimphelterMilwaukee Admirals (CHA)G242002-05-09USANo190 Lbs6 ft1YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Link / NHL Link
Tanner MolendykMilwaukee Admirals (CHA)D212005-02-03CANYes190 Lbs6 ft0NoNoAssign ManuallyNoNo22026-05-27FalseFalsePro & Farm909,166$0$0$No909,166$--------909,166$--------No--------Link / NHL Link
Vitali PinchukMilwaukee Admirals (CHA)C242002-01-11BLRYes203 Lbs6 ft3NoNoDraftNoNo12026-08-25FalseFalsePro & Farm1,025,000$0$0$No---------------------------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2525.04194 Lbs6 ft11.16767,422$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Daniel CarrJake LucchiniDalton Bancroft40122
2Juraj PekarcikOasiz WiesblattKyle Marino30122
3Reid SchaeferMassimo RizzoJoey Willis20122
4Joey WillisIvan RyabkinDaniel Carr10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan OesterleAndreas Englund40122
2Kevin GravelAndrew Gibson30122
3Christoffer SedoffTanner Molendyk20122
4Jordan OesterleKevin Gravel10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Daniel CarrJake LucchiniDalton Bancroft60122
2Juraj PekarcikOasiz WiesblattKyle Marino40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan OesterleChristoffer Sedoff60122
2Kevin GravelAndrew Gibson40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Daniel CarrJuraj Pekarcik60122
2Reid SchaeferDalton Bancroft40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan OesterleTanner Molendyk60122
2Kevin GravelAndrew Gibson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Daniel Carr60122Jordan OesterleChristoffer Sedoff60122
2Juraj Pekarcik40122Kevin GravelAndrew Gibson40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Daniel CarrJuraj Pekarcik60122
2Reid SchaeferDalton Bancroft40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan OesterleTanner Molendyk60122
2Kevin GravelAndrew Gibson40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Daniel CarrJake LucchiniDalton BancroftJordan OesterleKevin Gravel
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Daniel CarrJake LucchiniDalton BancroftJordan OesterleKevin Gravel
Extra Forwards
Normal PowerPlayPenalty Kill
Austin Roest, Daniel Carr, Massimo RizzoAustin Roest, Daniel CarrMassimo Rizzo
Extra Defensemen
Normal PowerPlayPenalty Kill
Christoffer Sedoff, Tanner Molendyk, Kevin GravelChristoffer SedoffTanner Molendyk, Kevin Gravel
Penalty Shots
Daniel Carr, Juraj Pekarcik, Reid Schaefer, Dalton Bancroft, Kyle Marino
Goalie
#1 : Isak Posch, #2 : T.J. Semptimphelter


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
1Belleville Senators2010010035-22010010035-20000000000010.250369001214111631391321021354218357114.29%4175.00%020643447.47%23647849.37%12323253.02%32221934310518492
2Chicago Wolves1010000035-2000000000001010000035-200.00036900121411135139132102133372142150.00%10100.00%020643447.47%23647849.37%12323253.02%32221934310518492
3Grand Rapids Griffins42200000131302200000083520200000510-540.50013223500121411198139132102131283824935240.00%11372.73%020643447.47%23647849.37%12323253.02%32221934310518492
4Hartford Wolf Pack1010000024-2000000000001010000024-200.00024600121411132139132102135722233100.00%10100.00%020643447.47%23647849.37%12323253.02%32221934310518492
5Iowa Wild2010010058-31010000013-21000010045-110.250510150012141115613913210213521212664250.00%6350.00%020643447.47%23647849.37%12323253.02%32221934310518492
6Manitoba Moose10001000431000000000001000100043121.0004812001214111291391321021333118163133.33%3166.67%120643447.47%23647849.37%12323253.02%32221934310518492
7Rockford IceHogs1010000012-1000000000001010000012-100.0001230012141112213913210213133424400.00%20100.00%020643447.47%23647849.37%12323253.02%32221934310518492
8Texas Stars20200000710-31010000046-21010000034-100.00071421001214111511391321021359156606116.67%3166.67%120643447.47%23647849.37%12323253.02%32221934310518492
Total1429012003850-12623001001617-1806011002233-1180.2863872110001214111386139132102134291296634132825.00%31970.97%220643447.47%23647849.37%12323253.02%32221934310518492
_Since Last GM Reset1429012003850-12623001001617-1806011002233-1180.2863872110001214111386139132102134291296634132825.00%31970.97%220643447.47%23647849.37%12323253.02%32221934310518492
_Vs Conference1127011003341-84220000013121705011002029-970.31833629500121411129113913210213318865627324729.17%26869.23%220643447.47%23647849.37%12323253.02%32221934310518492
_Vs Division32701100914-51220000046-22050110058-371.167918270012141118313913210213116378937114.29%4175.00%120643447.47%23647849.37%12323253.02%32221934310518492

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
148OTL138721103864291296634100
All Games
GPWLOTWOTL SOWSOLGFGA
142912003850
Home Games
GPWLOTWOTL SOWSOLGFGA
62301001617
Visitor Games
GPWLOTWOTL SOWSOLGFGA
80611002233
Last 10 Games
WLOTWOTL SOWSOL
161200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
32825.00%31970.97%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
139132102131214111
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
20643447.47%23647849.37%12323253.02%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
32221934310518492


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
14Milwaukee Admirals2Grand Rapids Griffins5LBox score
217Milwaukee Admirals3Chicago Wolves5LBox score
331Grand Rapids Griffins1Milwaukee Admirals5WBox score
553Milwaukee Admirals3Texas Stars4LBox score
661Texas Stars6Milwaukee Admirals4LBox score
783Belleville Senators2Milwaukee Admirals1LBox score
998Milwaukee Admirals4Manitoba Moose3WXBox score
10115Belleville Senators3Milwaukee Admirals2LXBox score
12136Iowa Wild3Milwaukee Admirals1LBox score
13150Milwaukee Admirals2Hartford Wolf Pack4LBox score
15166Grand Rapids Griffins2Milwaukee Admirals3WBox score
16179Milwaukee Admirals1Rockford IceHogs2LBox score
18192Milwaukee Admirals3Grand Rapids Griffins5LBox score
19213Milwaukee Admirals4Iowa Wild5LXBox score
20223Manitoba Moose-Milwaukee Admirals-
24250Chicago Wolves-Milwaukee Admirals-
26269Rockford IceHogs-Milwaukee Admirals-
27275Milwaukee Admirals-Iowa Wild-



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
3 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 1,918,556$ 1,918,556$ 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$ 10 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