Login

Milwaukee Admirals
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Sebastien Doyon | Morale : 1 | Team Overall : 57
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Team Leaders

Team Stats
Team Info

General ManagerSebastien Doyon
CoachJay Woodcroft
DivisionSteve Yzerman
ConferenceConference 2
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team24
Farm Team20
Contract Limit44 / 55
Prospects48


Team History

This Season0-0
History211-305-50 (0.373%)
Playoff Appearances0
Playoff Record (W-L)0-0
Stanley Cup0


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
1Reese JohnsonX100.007671866971706265506463635544446041600221700,000$
2Peyton Krebs (R)XX100.006866727666535065806460595544446348590203863,333$
3Axel Jonsson Fjallby (R)X100.007468896568677057504762625944446216570231860,000$
4Nikita ScherbakXX100.007772876072575760505957655444446145570251700,000$
5Jamieson Rees (R)X100.006163576463596059745063566044445949550203910,833$
6Evan WeingerX100.007270756670575952504753605044445643540241700,000$
7Tanner MacMasterX100.006968706568586247594147574544445250520251700,000$
8Drake RymshaX100.007768995368454644553844614244445028490221733,333$
9Nils Lundkvist (R)X100.007546887870707962255040702549496150630203925,000$
10Bowen Byram (R)X100.007544857275707569506463612544447050620202894,167$
11Dakota MermisX100.008142836771735562244848717955556022610271750,000$
12Calen Addison (R)X100.007066807266687159255252614944446040590212795,000$
13Tarmo Reunanen (R)X100.007168776868616261255552624944446037580231925,000$
14Logan DayX100.007875846875586054255440643844445521580261750,000$
15Connor Mackey (R)X100.007572836072596155255243624144445559570241925,000$
16Nate ProsserX100.007272736075605646243537642566686125560351770,000$
17Hubert LabrieX100.006969696769606445253539583749495048550291700,000$
18Thomas HickeyX100.0068657655684839482438376375687055335403212,500,000$
19Jordan GrossX100.007768996668535641252839603744444949530261700,000$
Scratches
1Chris BigrasX100.007671886371555653254642664057575448580261750,000$
TEAM AVERAGE100.00736581667060605540484962474848584057
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
1Anton Forsberg100.00635569716663657166653049496441620281900,000$
2Mat Robson (R)100.00525873785155505753523044445346550251750,000$
Scratches
1Felix Sandstrom (R)100.00525366755353505752523044445320540241750,000$
2Tommy Nappier (R)100.00445164814043505244453044444620490231700,000$
TEAM AVERAGE100.0053546876535454595454304545543255
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jay Woodcroft65666970686481CAN44360,000$


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 Force Waivers 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
Anton ForsbergMilwaukee Admirals (WIN)G281992-11-26No176 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$NoLink / NHL Link
Axel Jonsson FjallbyMilwaukee Admirals (WIN)LW231998-02-10Yes185 Lbs6 ft0NoNoNo1Pro & Farm860,000$0$0$NoLink
Bowen ByramMilwaukee Admirals (WIN)D202001-06-12Yes190 Lbs6 ft1NoNoNo2Pro & Farm894,167$0$0$No894,167$Link / NHL Link
Calen AddisonMilwaukee Admirals (WIN)D212000-04-10Yes180 Lbs5 ft11NoNoNo2Pro & Farm795,000$0$0$No795,000$NHL Link
Chris BigrasMilwaukee Admirals (WIN)D261995-02-21No191 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLink / NHL Link
Connor MackeyMilwaukee Admirals (WIN)D241996-09-12Yes190 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$NoLink / NHL Link
Dakota MermisMilwaukee Admirals (WIN)D271994-01-05No196 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLink / NHL Link
Drake RymshaMilwaukee Admirals (WIN)C221998-08-06No187 Lbs6 ft0NoNoNo1Pro & Farm733,333$0$0$NoLink / NHL Link
Evan WeingerMilwaukee Admirals (WIN)RW241997-04-18No194 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLink / NHL Link
Felix SandstromMilwaukee Admirals (WIN)G241997-01-12Yes191 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoNHL Link
Hubert LabrieMilwaukee Admirals (WIN)D291991-07-12No190 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLink / NHL Link
Jamieson ReesMilwaukee Admirals (WIN)C202001-02-26Yes172 Lbs5 ft11NoNoNo3Pro & Farm910,833$0$0$No910,833$910,833$NHL Link
Jordan GrossMilwaukee Admirals (WIN)D261995-05-09No190 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLink / NHL Link
Logan DayMilwaukee Admirals (WIN)D261994-09-19No209 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLink / NHL Link
Mat RobsonMilwaukee Admirals (WIN)G251996-03-26Yes190 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLink / NHL Link
Nate ProsserMilwaukee Admirals (WIN)D351986-05-07No201 Lbs6 ft2NoNoNo1Pro & Farm770,000$0$0$NoLink / NHL Link
Nikita ScherbakMilwaukee Admirals (WIN)LW/RW251995-12-30No192 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLink / NHL Link
Nils LundkvistMilwaukee Admirals (WIN)D202000-07-27 10:33:12Yes187 Lbs5 ft11NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Peyton KrebsMilwaukee Admirals (WIN)C/LW202001-01-26Yes180 Lbs5 ft11NoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$
Reese JohnsonMilwaukee Admirals (WIN)RW221998-07-10No193 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLink / NHL Link
Tanner MacMasterMilwaukee Admirals (WIN)C251996-01-08No185 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLink / NHL Link
Tarmo ReunanenMilwaukee Admirals (WIN)D231998-03-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$NoNHL Link
Thomas HickeyMilwaukee Admirals (WIN)D321989-02-08No188 Lbs6 ft0NoNoNo1Pro & Farm2,500,000$0$0$NoLink / NHL Link
Tommy NappierMilwaukee Admirals (WIN)G231998-06-22Yes214 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2424.58190 Lbs6 ft11.33860,486$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nikita ScherbakPeyton KrebsReese Johnson40122
2Axel Jonsson FjallbyJamieson ReesEvan Weinger30122
3Reese JohnsonTanner MacMasterPeyton Krebs20122
4Nikita ScherbakDrake RymshaAxel Jonsson Fjallby10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nils LundkvistBowen Byram40122
2Dakota MermisCalen Addison30122
3Logan DayTarmo Reunanen20122
4Connor MackeyNate Prosser10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nikita ScherbakPeyton KrebsReese Johnson60122
2Axel Jonsson FjallbyJamieson ReesEvan Weinger40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Nils LundkvistBowen Byram60122
2Dakota MermisCalen Addison40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Reese JohnsonPeyton Krebs60122
2Nikita ScherbakAxel Jonsson Fjallby40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Nils LundkvistBowen Byram60122
2Dakota MermisCalen Addison40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Reese Johnson60122Nils LundkvistBowen Byram60122
2Peyton Krebs40122Dakota MermisCalen Addison40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Reese JohnsonPeyton Krebs60122
2Nikita ScherbakAxel Jonsson Fjallby40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nils LundkvistBowen Byram60122
2Dakota MermisCalen Addison40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nikita ScherbakPeyton KrebsReese JohnsonNils LundkvistBowen Byram
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nikita ScherbakPeyton KrebsReese JohnsonNils LundkvistBowen Byram
Extra Forwards
Normal PowerPlayPenalty Kill
Tanner MacMaster, Drake Rymsha, Jamieson ReesTanner MacMaster, Drake RymshaJamieson Rees
Extra Defensemen
Normal PowerPlayPenalty Kill
Hubert Labrie, Jordan Gross, Thomas HickeyHubert LabrieJordan Gross, Thomas Hickey
Penalty Shots
Reese Johnson, Peyton Krebs, Nikita Scherbak, Axel Jonsson Fjallby, Jamieson Rees
Goalie
#1 : Anton Forsberg, #2 : Mat Robson


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%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
000.00%000.00%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 %
000.00%000.00%000.00%
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 Price2410
Attendance0.00%0.00%
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 Average SalariesCoaches Salaries
0$ 2,065,166$ 2,065,166$ 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 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
1Frederick Gaudreau288200256456-64104448652126015.87%216600620.8644841281244041681257.17%121.52820
2Troy Terry240172252424-925631250092818.53%188584224.3452561081160001616438.02%41.45420
3Evan Weinger397176202378-149224513629132113.32%242745218.7722355797000915645.14%01.0188
4Brett Ritchie252132232364-12048446437677217.10%224523820.79167692760441224834.69%01.39420
5Axel Jonsson-Fjallby328140160300-10818845242478417.86%200588117.932836647644880437.50%121.0204

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
1Anton Forsberg25711093270.8714.62141071801085837945531420.71176
2Mat Robson108245600.8585.2946768041228961624440.0000
3Mat Robson33111720.8714.931778201461133674110.8005
4Felix Sandstrom153910.8575.398132073510296100.0000

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
201682204505732303402-994182203332150208-5841122302400153194-41403034697722174116105112243610823775522929987224813932198337.90%2117962.56%6788152751.60%867174049.83%744141752.51%150467717238061737910
201782204805243286391-10541122401130159182-234182404113127209-8240286467753307992106152281664757832552864923119913401958644.10%2197267.12%6726146749.49%773159348.52%679132451.28%146967217738211726879
201882175502413281471-19041122401202171228-574153101211110243-1333428146274312621061105206751874179031301095997114242198639.27%1696959.17%5714133353.56%752148050.81%753138954.21%148965017057761750945
2019823132056263713647411913033211831632041121902305188201-136237161298301851441351428948489941023592997987102015752279541.85%1625168.52%7775167546.27%755168744.75%641143344.73%162986117387811617816
202082264105433371433-6241142002221186200-1441122103212185233-487537160297310871241521325346998749414330051002126516502148439.25%2208362.27%6657147144.66%808175446.07%622148841.80%151873617758131667837
202082264105433371433-6241142002221186200-1441122103212185233-487537160297310871241521325346998749414330051002126516502148439.25%2208362.27%6657147144.66%808175446.07%622148841.80%151873617758131667837
202178244301532276370-9439132001230148182-3439112300302128188-6063276466742306110710452382623878852432916957107213622108841.90%2027264.36%6627144343.45%752166145.27%608134845.10%142567516937671593816
Total Regular Season57016430502832192222592864-605285921430131515711831363-180285721620151741510761501-4253892259368059391145358138647616935466159416154326207266817904010394149860640.45%140350963.72%4249441038747.60%55151166947.26%4669988747.22%105565011121855581117616043

Milwaukee Admirals 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