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Milwaukee Admirals
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Sandro | Morale : 1 | Team Overall : 59
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Team Leaders

Team Stats
Team Info

General ManagerSandro
CoachKarl Taylor
DivisionCentral Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets0


Roster Info

Pro Team24
Farm Team21
Contract Limit45 / 70
Prospects24


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.
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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
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 Average
1Yakov Trenin0X100.008166836677719162577067775460580267002732,850,000$
2Liam Foudy0X100.006545836569636858586762695456560296402431,350,000$
3Tommy Novak0X100.006048746962626165646965596557570296402744,050,000$
4Jasper Weatherby0X100.00595170627666665862605862546057029610261775,000$
5Nolan Burke (R)0X100.00606060606060606060606060606060029600221775,000$
6Kalan Lind (R)0XX100.00606060606060606060606060606060032600191775,000$
7Cal O'Reilly0X100.00545767586166645870575759568168029600381775,000$
8Anthony Angello0XX100.00565563587065645855565858556358029590281775,000$
9Egor Afanasyev0XX100.00565068586861595451565659515251029570231775,000$
10Joakim Kemell0XX100.00545463535754535352525356514848029540201775,000$
11Jordan Gross0X100.00565369646467626040625863586359029620291775,000$
12Kevin Gravel0X100.00575272597165625540595567546861029610321775,000$
13Roland McKeown0X100.00555464596566635740585664546358029600281775,000$
14Marc Del Gaizo0X100.00555665606067655840585560545855029590251775,000$
15Keaton Thompson0X100.00555567566361595640555560566559029580291775,000$
16Spencer Stastney0X100.00555368566162605540575562545654029580241775,000$
17Jake Livingstone0X100.00543870527568545038575066515155029570251775,000$
18Adam Wilsby0X100.00525163546065635438545157515451029550241775,000$
Scratches
1Tye Felhaber0XXX100.00545468566058575555555660546056026570261775,000$
2Navrin Mutter0XXX100.00555460556361605555555557545553026560231775,000$
3Kole Sherwood0X100.00535162566559585352525257515853026550271775,000$
4Simon Knak0XXX100.00515165516251515152515157515149026530221775,000$
TEAM AVERAGE100.0057536759656362575158576155595602859
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 Average
1Troy Grosenick0100.0057575864655767585956567966033610351775,000$
2Yaroslav Askarov0100.0061646569665964655459574948028610221775,000$
Scratches
TEAM AVERAGE100.005961626766586662575857645703161
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Karl Taylor71676864797473CAN517500,000$


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
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


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 Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary RemainingSalary AverageSalary Ave 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 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 WilsbyMilwaukee Admirals (NSH)D2407.08.2000No87 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Link
Anthony AngelloMilwaukee Admirals (NSH)LW/RW2806.03.1996No95 Kg196 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Link
Cal O'ReillyMilwaukee Admirals (NSH)C3830.09.1986No85 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Link
Egor AfanasyevMilwaukee Admirals (NSH)LW/RW2323.01.2001No96 Kg193 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Link
Jake LivingstoneMilwaukee Admirals (NSH)D2516.04.1999No93 Kg191 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Link
Jasper WeatherbyMilwaukee Admirals (NSH)C2622.01.1998No101 Kg193 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Link
Joakim KemellMilwaukee Admirals (NSH)LW/RW2027.04.2004No83 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Link
Jordan GrossMilwaukee Admirals (NSH)D2909.05.1995No86 Kg178 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Link
Kalan LindMilwaukee Admirals (NSH)LW/RW1925.01.2005Yes72 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Link
Keaton ThompsonMilwaukee Admirals (NSH)D2914.09.1995No89 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Link
Kevin GravelMilwaukee Admirals (NSH)D3206.03.1992No93 Kg193 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Link
Kole SherwoodMilwaukee Admirals (NSH)C2722.01.1997No96 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Link
Liam FoudyMilwaukee Admirals (NSH)C2404.02.2000No85 Kg188 CMNoNoN/ANoNo3FalseFalsePro & Farm1,350,000$1,350,000$0$0$No1,350,000$1,350,000$-------NoNo-------Link
Marc Del GaizoMilwaukee Admirals (NSH)D2511.10.1999No85 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Link
Navrin MutterMilwaukee Admirals (NSH)C/LW/RW2315.03.2001No92 Kg191 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Link
Nolan BurkeMilwaukee Admirals (NSH)C2209.12.2002Yes84 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Link
Roland McKeownMilwaukee Admirals (NSH)D2820.01.1996No89 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Link
Simon KnakMilwaukee Admirals (NSH)C/LW/RW2227.01.2002No90 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Link
Spencer StastneyMilwaukee Admirals (NSH)D2404.01.2000No84 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Link
Tommy NovakMilwaukee Admirals (NSH)C2728.04.1997No81 Kg185 CMNoNoN/ANoNo4FalseFalsePro & Farm4,050,000$4,050,000$0$0$No4,050,000$4,050,000$4,050,000$------NoNoNo------Link
Troy GrosenickMilwaukee Admirals (NSH)G3527.08.1989No82 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Link
Tye FelhaberMilwaukee Admirals (NSH)C/LW/RW2605.08.1998No84 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Link
Yakov TreninMilwaukee Admirals (NSH)C2713.01.1997No91 Kg188 CMNoNoN/ANoNo3FalseFalsePro & Farm2,850,000$2,850,000$0$0$No2,850,000$2,850,000$-------NoNo-------Link
Yaroslav AskarovMilwaukee Admirals (NSH)G2216.06.2002No81 Kg191 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2426.0488 Kg185 CM1.291,021,875$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Yakov TreninTommy NovakKalan Lind33122
2Cal O'ReillyNolan BurkeAnthony Angello30122
3Egor AfanasyevLiam FoudyJasper Weatherby25122
4Tommy NovakJasper WeatherbyLiam Foudy12122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan GrossKevin Gravel33122
2Roland McKeownKeaton Thompson30122
3Marc Del GaizoSpencer Stastney25122
4Keaton ThompsonJordan Gross12122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Liam FoudyTommy NovakYakov Trenin50122
2Egor AfanasyevCal O'ReillyAnthony Angello50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan GrossKevin Gravel50122
2Roland McKeownKeaton Thompson50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Tommy NovakJasper Weatherby50122
2Yakov TreninLiam Foudy50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan GrossKevin Gravel50122
2Roland McKeownMarc Del Gaizo50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Tommy Novak50122Jordan GrossKevin Gravel50122
2Liam Foudy50122Roland McKeownSpencer Stastney50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Tommy NovakNolan Burke50122
2Jasper WeatherbyLiam Foudy50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan GrossKevin Gravel50122
2Roland McKeownKeaton Thompson50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Yakov TreninTommy NovakLiam FoudyJordan GrossKevin Gravel
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Yakov TreninTommy NovakLiam FoudyJordan GrossKevin Gravel
Extra Forwards
Normal PowerPlayPenalty Kill
Cal O'Reilly, Nolan Burke, Egor AfanasyevCal O'Reilly, Nolan BurkeEgor Afanasyev
Extra Defensemen
Normal PowerPlayPenalty Kill
Marc Del Gaizo, Spencer Stastney, Keaton ThompsonMarc Del GaizoSpencer Stastney, Keaton Thompson
Penalty Shots
Tommy Novak, Cal O'Reilly, Nolan Burke, Liam Foudy, Jasper Weatherby
Goalie
#1 : Yaroslav Askarov, #2 : Troy Grosenick
Custom OT Lines Forwards
Tommy Novak, Egor Afanasyev, Yakov Trenin, Liam Foudy, Jasper Weatherby, Cal O'Reilly, Cal O'Reilly, Kalan Lind, Nolan Burke, Joakim Kemell, Anthony Angello
Custom OT Lines Defensemen
Jordan Gross, Kevin Gravel, Roland McKeown, Keaton Thompson, Marc Del Gaizo


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000%000%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000%000%000%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
7 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,452,500$ 2,452,500$ 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