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Bears
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Jean-Manuel Estrada | Morale : 1 | Team Overall : 63
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Team Leaders

Team Stats
Team Info

General ManagerJean-Manuel Estrada
CoachGerard Gallant
DivisionMax-Sillig
ConferenceLouis-Magnus
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team41
Farm Team18
Contract Limit59 / 250
Prospects0


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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
1Max FribergX100.006331807672777474757773766863583772720253900,000$
2Joshua Leivo (R)X100.006926797478767774737077616855494067700242900,000$
3Kerby Rychel (R)X100.008349707772608077687173656953504853700231900,000$
4Nicolas Aube-Kubel (R)X100.007737727173687776687376685949454763700211750,000$
5Sam CarrickX100.007537737271627871717771716562553564700253800,000$
6A.J. JenksX100.007427707269727571737174686454532756690271925,000$
7Mike HoffmanX100.007526737576727174716770607166632455690281650,000$
8Jamie McGinnX100.007932716869647169686971707558542269680291750,000$
9Austin CzarnikX100.006451767761705982626368598052523842670251995,000$
10Angelo EspositoX100.006439746562677268767267556856532069650281550,000$
11Vincent Dunn (R)X100.006438756267537267666859595944464569620223500,000$
12Colby Cave (R)X100.005025706168535858505872495647473227580232250,000$
13Joey LaleggiaX100.007041907165617071447160776465523170700251900,000$
14Derek ForbortX100.006737696868756766587058746157513169670251500,000$
15Mikko Vainonen (R)X100.006429786971696872516764705459473266670233650,000$
16Tommy Vannelli (R)X100.005931867266676569497555715351464769670222600,000$
17Gianluca Curcuruto (R)X100.007234757261686867566758685954493660660232500,000$
18Michael Prapavessis (R)X100.006333836863636764447049715247454940650211500,000$
Scratches
1Austin Wuthrich (R)X100.007525666569617276686567596149493053650242500,000$
2Cole Smith (R)X100.007146835566596078696963606248494919650222500,000$
3Brett BulmerX100.006436636867616566646970586051513018640251600,000$
4Logan O'Connor (R)X100.006737776567616072646467526847455619630211500,000$
5Nikolay Prokhorkin (R)X100.005534756057636462727861525951503319620242275,000$
6Warren Foegele (R)X100.004835936671787161616652615943435519620211500,000$
7Nicholas Caamano (R)X100.005740686058596261616657586641417020590191500,000$
8Isaac Ratcliffe (R)X100.006427734262646156525869425740408020560182500,000$
9Kirill Maksimov (R)X100.005823715070515959585163394940407220540182500,000$
10Emil Johansson (R)X100.005747766664686560536660654949444417630212500,000$
11Jacob Bryson (R)X100.005931696959556480328045604044455219620202500,000$
12Ryan Graves (R)X100.005732766563646762426647674546453819620222250,000$
13Jesper Pettersson (R)X100.005842706363666259636666505852463519610222450,000$
14Kristians Rubins (R)X100.005636736054585660256145694346466220590202500,000$
15Mackenze Stewart (R)X100.005340676057616056626267475245444320580212450,000$
16Mario Ferraro (R)X100.005428775660636256276337643941425920580192500,000$
17Will Reilly (R)X100.004031747360435764217253484344435520580202500,000$
18David Farrance (R)X100.005432695654625657346253634740406920570182500,000$
19Zack Hayes (R)X100.006131545365604748225244473440407220520182500,000$
20Jakob Stenqvist (R)X100.005425706140425958346538483441415620520191500,000$
21Arvid Henrikson (R)X100.004924595958544345265451522841415920510191500,000$
TEAM AVERAGE100.00633474656563656655676160565047453963
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
1Jake Allen100.00717375646680766671797062583069710273750,000$
2Sami Aittokallio100.00656968666373747967686751513163680251500,000$
Scratches
TEAM AVERAGE100.0068717265657775736974695755316670
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Gerard Gallant65666472386557CAN22550,000$


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 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 10Link
A.J. JenksBears (Was)LW271990-01-01No206 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$No
Angelo EspositoBears (Was)C281989-01-01No190 Lbs6 ft0NoNoNo1Pro & Farm550,000$0$0$No
Arvid HenriksonBears (Was)D191998-01-01Yes212 Lbs6 ft5NoNoNo1Pro & Farm500,000$0$0$NoLink
Austin CzarnikBears (Was)RW251992-01-01No174 Lbs5 ft9NoNoNo1Pro & Farm995,000$0$0$NoLink
Austin WuthrichBears (Was)RW241993-01-01Yes190 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Brett BulmerBears (Was)RW251992-01-01No212 Lbs6 ft4NoNoNo1Pro & Farm600,000$0$0$No
Colby CaveBears (Was)C231994-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm250,000$0$0$No250,000$Link
Cole SmithBears (Was)LW221995-01-01Yes195 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
David FarranceBears (Was)D181999-01-01Yes191 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Derek ForbortBears (Was)D251992-01-01No212 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$No
Emil JohanssonBears (Was)D211996-01-01Yes189 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Gianluca CurcurutoBears (Was)D231994-01-01Yes195 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No550,000$
Isaac RatcliffeBears (Was)LW181999-01-01Yes200 Lbs6 ft6NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Jacob BrysonBears (Was)D201997-01-01Yes175 Lbs5 ft9NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Jake AllenBears (Was)G271990-01-01No195 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
Jakob StenqvistBears (Was)D191998-01-01Yes179 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLink
Jamie McGinnBears (Was)LW291988-01-01No205 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$No
Jesper PetterssonBears (Was)D221995-01-01Yes189 Lbs5 ft9NoNoNo2Pro & Farm450,000$0$0$No450,000$Link
Joey LaleggiaBears (Was)D251992-01-01No182 Lbs5 ft9NoNoNo1Pro & Farm900,000$0$0$No
Joshua LeivoBears (Was)RW241993-01-01Yes204 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No900,000$
Kerby RychelBears (Was)LW231994-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoLink
Kirill MaksimovBears (Was)RW181999-01-01Yes207 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Kristians RubinsBears (Was)D201997-01-01Yes227 Lbs6 ft5NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Logan O'ConnorBears (Was)RW211996-01-01Yes174 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLink
Mackenze StewartBears (Was)D211996-01-01Yes230 Lbs6 ft4NoNoNo2Pro & Farm450,000$0$0$No450,000$Link
Mario FerraroBears (Was)D191998-01-01Yes209 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Max FribergBears (Was)RW251992-01-01No200 Lbs5 ft11NoNoNo3Pro & Farm900,000$0$0$No950,000$1,000,000$
Michael PrapavessisBears (Was)D211996-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$NoLink
Mike HoffmanBears (Was)LW281989-01-01No185 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$No
Mikko VainonenBears (Was)D231994-01-01Yes222 Lbs6 ft2NoNoNo3Pro & Farm650,000$0$0$No650,000$650,000$
Nicholas CaamanoBears (Was)RW191998-01-01Yes201 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$NoLink
Nicolas Aube-KubelBears (Was)RW211996-01-01Yes187 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLink
Nikolay ProkhorkinBears (Was)LW241993-01-01Yes190 Lbs6 ft2NoNoNo2Pro & Farm275,000$0$0$No275,000$Link
Ryan GravesBears (Was)D221995-01-01Yes225 Lbs6 ft4NoNoNo2Pro & Farm250,000$0$0$No250,000$Link
Sam CarrickBears (Was)C251992-01-01No188 Lbs6 ft0NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Sami AittokallioBears (Was)G251992-01-01No185 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Tommy VannelliBears (Was)D221995-01-01Yes185 Lbs6 ft2NoNoNo2Pro & Farm600,000$0$0$No600,000$Link
Vincent DunnBears (Was)C221995-01-01Yes185 Lbs5 ft11NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$
Warren FoegeleBears (Was)LW211996-01-01Yes198 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLink
Will ReillyBears (Was)D201997-01-01Yes196 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Zack HayesBears (Was)D181999-01-01Yes222 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4122.49197 Lbs6 ft11.71580,366$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kerby RychelSam CarrickMax Friberg35005
2A.J. JenksAngelo EspositoJoshua Leivo30005
3Mike HoffmanVincent DunnNicolas Aube-Kubel20014
4Jamie McGinnColby CaveAustin Czarnik15023
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Joey LaleggiaMikko Vainonen40023
2Tommy VannelliDerek Forbort30032
3Gianluca CurcurutoMichael Prapavessis20032
4Joey LaleggiaMikko Vainonen10032
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kerby RychelSam CarrickMax Friberg60005
2A.J. JenksAngelo EspositoNicolas Aube-Kubel40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Joey LaleggiaMikko Vainonen60023
2Tommy VannelliDerek Forbort40023
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Sam CarrickMax Friberg60041
2Jamie McGinnNicolas Aube-Kubel40041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Joey LaleggiaMikko Vainonen60041
2Tommy VannelliDerek Forbort40041
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Sam Carrick60050Joey LaleggiaMikko Vainonen60050
2Max Friberg40050Tommy VannelliDerek Forbort40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Sam CarrickMax Friberg60005
2Angelo EspositoKerby Rychel40005
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Joey LaleggiaMikko Vainonen60023
2Tommy VannelliDerek Forbort40032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Kerby RychelSam CarrickMax FribergJoey LaleggiaMikko Vainonen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jamie McGinnSam CarrickMax FribergJoey LaleggiaMikko Vainonen
Extra Forwards
Normal PowerPlayPenalty Kill
Max Friberg, Nicolas Aube-Kubel, Sam CarrickMax Friberg, Sam CarrickMax Friberg
Extra Defensemen
Normal PowerPlayPenalty Kill
Gianluca Curcuruto, Joey Laleggia, Tommy VannelliGianluca CurcurutoJoey Laleggia, Tommy Vannelli
Penalty Shots
Joshua Leivo, Nicolas Aube-Kubel, A.J. Jenks, Max Friberg, Sam Carrick
Goalie
#1 : Sami Aittokallio, #2 : Jake Allen


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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
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
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2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
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
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,379,500$ 1,887,500$ 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$




Bears 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

Bears Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Bears 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

Bears 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

Bears Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA