´╗┐
Your PHP version is out of date. Please upgrade it version 8 or more using your web server hosting company administration portal.
Login

Milwaukee Admirals
GP: 20 | W: 10 | L: 10
GF: 66 | GA: 61 | PP%: 20.41% | PK%: 82.05%
GM : Matt Sullivan | Morale : 60 | Team Overall : 58
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Milwaukee Admirals
10-10-0, 20pts
5
FINAL
4 Calgary Wranglers
13-8-0, 26pts
Team Stats
L1StreakW1
4-5-0Home Record6-4-0
6-5-0Away Record7-4-0
5-2-3Last 10 Games5-5-0
3.30Goals Per Game3.57
3.05Goals Against Per Game3.29
20.41%Power Play Percentage27.27%
82.05%Penalty Kill Percentage85.11%
Calgary Wranglers
13-8-0, 26pts
5
FINAL
4 Milwaukee Admirals
10-10-0, 20pts
Team Stats
W1StreakL1
6-4-0Home Record4-5-0
7-4-0Away Record6-5-0
5-5-0Last 10 Games5-2-3
3.57Goals Per Game3.30
3.29Goals Against Per Game3.05
27.27%Power Play Percentage20.41%
85.11%Penalty Kill Percentage82.05%
Team Leaders
Goals
Rocco Grimaldi
8
Assists
Kevin Rooney
10
Points
Kevin Rooney
16
Plus/Minus
Jack Finley
10
Wins
Malcolm Subban
10
Save Percentage
Michael McNiven
0.897

Team Stats
Goals For
66
3.30 GFG
Shots For
699
34.95 Avg
Power Play Percentage
20.4%
10 GF
Offensive Zone Start
43.8%
Goals Against
61
3.05 GAA
Shots Against
570
28.50 Avg
Penalty Kill Percentage
82.1%%
7 GA
Defensive Zone Start
36.0%
Team Info

General ManagerMatt Sullivan
CoachGreg Johnson
DivisionCentral
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity8,000
Attendance0
Season Tickets0


Roster Info

Pro Team20
Farm Team18
Contract Limit38 / 40
Prospects0


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 SP
1Kevin Rooney15XX100.00714087637568866070666272546158060670
2Colin White11X100.00654090617372696474756166546166060670
3Zack Kassian19X100.00797081628063796453716267567460060670
4Jasper Weatherby (R)70XX100.00674084638562676078686270545658060660
5Tyler Pitlick21X100.00734092657561745754665768546459060640
6Joshua Ho-Sang23X100.00533989646972716359605658636764060630
7Cedric Paquette14X100.00754083578156705448665571546859060630
8Matthew Phillips24X100.00555867645466646355606364585955060620
9Rocco Grimaldi25XX100.00555567615662616155586264566860060610
10Chris Wagner64XX100.00555565646565645870565861547162060610
11Jack Finley (R)63X100.00454545454545454545454545454545060450
12Ryan Greene (R)75X100.00454545454545454545454545454545060450
13Alexander Suzdalev (R)76X100.00454545454545454545454545454545060450
14Juuso Valimaki (R)45X100.00555566586960595640575562565955060590
15Mason Lohrei (R)46X100.00454545454545454545454545454545060450
16Benjamin Roger (R)80X100.00454545454545454545454545454545060450
Scratches
1Colton White71X100.00654086546867595640685582545558060650
TEAM AVERAGE100.0058477057635962555459556152585506058
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 SP
1Michael McNiven (R)1100.0056575761625763576159666256060590
2Malcolm Subban31100.0055555564625464556357667161060590
Scratches
1Evan Fitzpatrick (R)33100.0054545468625464546056656055060580
TEAM AVERAGE100.005555556462556455615766645706059
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Greg Johnson75757575757575CAN5150$


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
1Kevin RooneyMilwaukee Admirals (NSH)C/LW206101604038417515458.00%738519.2721317420003381155.11%51900000.8300000201
2Jasper WeatherbyMilwaukee Admirals (NSH)C/LW20791600028467322629.59%938519.2912310410003372065.38%2600000.8300000121
3Joshua Ho-SangMilwaukee Admirals (NSH)RW20410140004265210337.69%234417.23033742000001044.83%2900000.8100000011
4Tyler PitlickMilwaukee Admirals (NSH)LW2041014-26026366812355.88%436018.022249370000221052.94%5100000.7800000002
5Cedric PaquetteMilwaukee Admirals (NSH)C205914-24043525515399.09%535517.790556370000182049.39%40900000.7900000211
6Matthew PhillipsMilwaukee Admirals (NSH)C204711-60026346719455.97%226513.2600013000000042.55%32200000.8300000001
7Rocco GrimaldiMilwaukee Admirals (NSH)C/RW208210-640322867133311.94%227713.88000130001121147.83%2300010.7200000100
8Chris WagnerMilwaukee Admirals (NSH)C/RW20639-24017206112329.84%333616.812021037000000060.71%2800000.5400000030
9Colton WhiteMilwaukee Admirals (NSH)D141784601819154106.67%2124417.4400051300009000.00%000000.6600000012
10Andrew PeekeNashville PredatorsD8426-32020201071440.00%419324.2330341400008000.00%000000.6200000101
11Juuso ValimakiMilwaukee Admirals (NSH)D20235222103115115718.18%2135217.6300011600007000.00%000000.2800002000
12Jack FinleyMilwaukee Admirals (NSH)C203141080268104730.00%020910.4700000000000034.46%17700000.3800000010
13Dean KukanNashville PredatorsD8044-3001169730.00%719324.1902221500009000.00%000000.4100000000
14Benjamin RogerMilwaukee Admirals (NSH)D20134-213525231933.33%1529314.690000000000100.00%000000.2700001100
15Alexander SuzdalevMilwaukee Admirals (NSH)LW20011-6201864140.00%026113.0900000000020054.55%1100000.0800000000
16Mason LohreiMilwaukee Admirals (NSH)D20000-11002132110.00%1528914.480000100003000.00%000000.00%00000000
17Ryan GreeneMilwaukee Admirals (NSH)C20000000100000.00%0140.7200003000020057.14%700000.00%00000000
Team Total or Average3105581136-1785153753725821483799.45%117476415.371015257331000071739248.75%160200010.57000038910
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
1Malcolm SubbanMilwaukee Admirals (NSH)2010550.8932.97117100585410200.00%0200100
2Michael McNivenMilwaukee Admirals (NSH)20000.8973.3354003290000.00%0020000
Team Total or Average2210550.8932.991225006157002002020100


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 Rookie Weight Height No Trade Available For Trade Force Waivers Waiver Possible Contract 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 10Link
Alexander SuzdalevMilwaukee Admirals (NSH)LW193/5/2004 4:59:38 AMYes176 Lbs6 ft2NoNoNoNo3Pro & Farm0$0$No
Benjamin RogerMilwaukee Admirals (NSH)D2011/3/2002 2:43:22 AMYes201 Lbs6 ft3NoNoNoNo3Pro & Farm0$0$No
Cedric PaquetteMilwaukee Admirals (NSH)C298/13/1993No205 Lbs6 ft0NoNoNoNo1Pro & Farm0$0$NoLink
Chris WagnerMilwaukee Admirals (NSH)C/RW325/27/1991No198 Lbs6 ft0NoNoNoNo2Pro & Farm0$0$NoLink
Colin WhiteMilwaukee Admirals (NSH)C261/30/1997No194 Lbs6 ft1NoNoNoNo3Pro & Farm0$0$NoLink
Colton WhiteMilwaukee Admirals (NSH)D265/3/1997No187 Lbs6 ft1NoNoNoNo2Pro & Farm0$0$NoLink
Evan FitzpatrickMilwaukee Admirals (NSH)G251/28/1998Yes205 Lbs6 ft3NoNoNoNo2Pro & Farm0$0$NoLink
Jack FinleyMilwaukee Admirals (NSH)C209/2/2002Yes223 Lbs6 ft5NoNoNoNo3Pro & Farm0$0$NoLink
Jasper WeatherbyMilwaukee Admirals (NSH)C/LW251/22/1998Yes222 Lbs6 ft4NoNoNoNo2Pro & Farm0$0$NoLink
Joshua Ho-SangMilwaukee Admirals (NSH)RW271/22/1996No173 Lbs6 ft0NoNoNoNo2Pro & Farm0$0$NoLink
Juuso ValimakiMilwaukee Admirals (NSH)D2410/6/1998Yes212 Lbs6 ft2NoNoNoNo2Pro & Farm0$0$NoLink
Kevin RooneyMilwaukee Admirals (NSH)C/LW305/21/1993No201 Lbs6 ft2NoNoNoNo3Pro & Farm0$0$NoLink
Malcolm SubbanMilwaukee Admirals (NSH)G2912/21/1993No216 Lbs6 ft2NoNoNoNo3Pro & Farm0$0$NoLink
Mason LohreiMilwaukee Admirals (NSH)D221/17/2001 1:00:57 AMYes201 Lbs6 ft4NoNoNoNo3Pro & Farm0$0$No
Matthew PhillipsMilwaukee Admirals (NSH)C254/6/1998No165 Lbs5 ft8NoNoNoNo2Pro & Farm0$0$NoLink
Michael McNivenMilwaukee Admirals (NSH)G257/9/1997Yes198 Lbs6 ft1NoNoNoNo2Pro & Farm0$0$NoLink
Rocco GrimaldiMilwaukee Admirals (NSH)C/RW302/8/1993No181 Lbs5 ft6NoNoNoNo1Pro & Farm0$0$NoLink
Ryan GreeneMilwaukee Admirals (NSH)C1910/21/2003 8:13:16 AMYes174 Lbs6 ft1NoNoNoNo3Pro & Farm0$0$No
Tyler PitlickMilwaukee Admirals (NSH)LW3111/1/1991No200 Lbs6 ft2NoNoNoNo2Pro & Farm0$0$NoLink
Zack KassianMilwaukee Admirals (NSH)LW321/24/1991No211 Lbs6 ft3NoNoNoNo2Pro & Farm0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2025.80197 Lbs6 ft12.300$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jasper WeatherbyKevin RooneyJoshua Ho-Sang30122
2Tyler PitlickCedric PaquetteChris Wagner30122
3Alexander SuzdalevMatthew PhillipsRocco Grimaldi25122
4Jack Finley15122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
130122
2Juuso Valimaki30122
3Benjamin RogerMason Lohrei25122
415122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jasper WeatherbyKevin RooneyJoshua Ho-Sang60122
2Tyler PitlickCedric PaquetteChris Wagner40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Juuso Valimaki40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Kevin RooneyJasper Weatherby60122
2Tyler PitlickCedric Paquette40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Juuso Valimaki40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Kevin Rooney6012260122
2Jasper Weatherby40122Juuso Valimaki40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Kevin RooneyJasper Weatherby60122
2Tyler PitlickCedric Paquette40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Juuso Valimaki40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jasper WeatherbyKevin RooneyJoshua Ho-Sang
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jasper WeatherbyKevin RooneyJoshua Ho-Sang
Extra Forwards
Normal PowerPlayPenalty Kill
Ryan Greene, Matthew Phillips, Rocco GrimaldiRyan Greene, Matthew PhillipsRocco Grimaldi
Extra Defensemen
Normal PowerPlayPenalty Kill
Benjamin Roger, Mason Lohrei, Benjamin RogerMason Lohrei,
Penalty Shots
Kevin Rooney, Jasper Weatherby, Tyler Pitlick, Cedric Paquette, Joshua Ho-Sang
Goalie
#1 : Malcolm Subban, #2 : Michael McNiven
Custom OT Lines Forwards
Kevin Rooney, Jasper Weatherby, Tyler Pitlick, Cedric Paquette, Joshua Ho-Sang, Matthew Phillips, Matthew Phillips, Chris Wagner, Rocco Grimaldi, Alexander Suzdalev, Jack Finley
Custom OT Lines Defensemen
, , , Juuso Valimaki, Benjamin Roger


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
1Calgary Wranglers624000002227-53120000011110312000001116-540.33322416300192422125822122423321193444212416212.50%14471.43%035771150.21%27358546.67%16132849.09%481337482149263128
2Chicago Wolves743000002617931200000810-2431000001871180.57126436900192422125222122423321188603017118633.33%15286.67%035771150.21%27358546.67%16132849.09%481337482149263128
3Colorado Eagles743000001817132100000844422000001013-380.57118304800192422118922122423321189552715315213.33%10190.00%035771150.21%27358546.67%16132849.09%481337482149263128
Total2010100000066615945000002725211650000039363200.500661141800019242216992212242332157015999448491020.41%39782.05%035771150.21%27358546.67%16132849.09%481337482149263128
_Since Last GM Reset2010100000066615945000002725211650000039363200.500661141800019242216992212242332157015999448491020.41%39782.05%035771150.21%27358546.67%16132849.09%481337482149263128
_Vs Conference2010100000066615945000002725211650000039363200.500661141800019242216992212242332157015999448491020.41%39782.05%035771150.21%27358546.67%16132849.09%481337482149263128
_Vs Division743000001817131200000844431000001013-380.57118304800192422118922122423321189552715315213.33%10190.00%035771150.21%27358546.67%16132849.09%481337482149263128

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2020L1661141806995701599944800
All Games
GPWLOTWOTL SOWSOLGFGA
20101000006661
Home Games
GPWLOTWOTL SOWSOLGFGA
94500002725
Visitor Games
GPWLOTWOTL SOWSOLGFGA
116500003936
Last 10 Games
WLOTWOTL SOWSOL
520300
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
491020.41%39782.05%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
221224233211924221
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
35771150.21%27358546.67%16132849.09%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
481337482149263128


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
2 - 2023-04-155Milwaukee Admirals5Colorado Eagles4AWBoxScore
4 - 2023-04-1713Milwaukee Admirals1Colorado Eagles2ALBoxScore
6 - 2023-04-1921Colorado Eagles2Milwaukee Admirals1BLXBoxScore
8 - 2023-04-2129Colorado Eagles1Milwaukee Admirals2BWBoxScore
10 - 2023-04-2337Milwaukee Admirals2Colorado Eagles6ALBoxScore
12 - 2023-04-2545Colorado Eagles1Milwaukee Admirals5BWBoxScore
14 - 2023-04-2753Milwaukee Admirals2Colorado Eagles1AWXBoxScore
16 - 2023-04-2959Milwaukee Admirals2Chicago Wolves3ALXBoxScore
18 - 2023-05-0163Milwaukee Admirals6Chicago Wolves1AWBoxScore
20 - 2023-05-0367Chicago Wolves4Milwaukee Admirals2BLBoxScore
22 - 2023-05-0571Chicago Wolves3Milwaukee Admirals2BLXBoxScore
24 - 2023-05-0775Milwaukee Admirals7Chicago Wolves1AWBoxScore
26 - 2023-05-0979Chicago Wolves3Milwaukee Admirals4BWBoxScore
28 - 2023-05-1183Milwaukee Admirals3Chicago Wolves2AWBoxScore
30 - 2023-05-1386Milwaukee Admirals2Calgary Wranglers7ALBoxScore
32 - 2023-05-1588Milwaukee Admirals4Calgary Wranglers5ALXBoxScore
34 - 2023-05-1790Calgary Wranglers2Milwaukee Admirals4BWBoxScore
36 - 2023-05-1992Calgary Wranglers4Milwaukee Admirals3BLXBoxScore
38 - 2023-05-2194Milwaukee Admirals5Calgary Wranglers4AWBoxScore
40 - 2023-05-2396Calgary Wranglers5Milwaukee Admirals4BLBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity45003500
Ticket Price350
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
32 0 - 0.00% 0$0$8000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 0$ 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$ 3 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