Algosys College Basketball

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Pepperdine

WCC · 2025–26 · Raw net rank 333 · Raw net -13.3 · Tempo 69.5 · 30 Division I games · Through 2026-03-05

All seasons
Record
7–23
7 wins
AdjNet
-9.7β
rank 301 of 365
AdjO
102.9β
rank 292 of 365
AdjD
112.7β
rank 282 of 365
AdjT
69.2β
SOS
2.0β
rank 108 of 363
NCSOS
-2.4β
WAB
-14.9β
rank 314 of 363
RR
-0.9β
Exp. W
7.9β

Scouting Report

Scouting report with national ranks
CategoryOffenseDefenseD-I Average
Efficiency
Efficiency / 100 poss.100.5321113.8305108.5
Four Factors
Effective FG%47.632354.230651.4
TO / 100 poss.18.328816.518216.7
Offensive rebound %29.123434.031830.6
FTA / FGA %33.821528.53535.0
Shooting
3P%31.430935.527633.9
2P%48.030954.930851.7
FT%75.85972.317472.5
Style
3PA / FGA %39.240.339.5
Assists / FGM %56.555.852.6
Blocks / opp. 2PA %7.510.79.5
Point Distribution
3-pointers %30.633.331.4
2-pointers %48.250.848.8
Free throws %21.215.919.8

Best · Median · Worst · Mark: further right is a better national rank, of 365 teams.

Rotation Depth

Effective Rotation Size
8.2
Top Three Share of Minutes
48%
Bench Share of Minutes
28%
Players with Logged Minutes
13

Bench: players outside the top five in minutes. Definitions

Schedule and Results

Schedule and results
DateOpponentResultPoss.SiteRecord
11-07UCLAL 63–7462.8Away0–1
11-15Northern Colo.L 81–88 1OT82.6Home0–2
11-18LSU New OrleansW 90–7973.8Home1–2
11-21SFAL 60–6367.1Home1–3
11-26Fresno St.L 53–7668.8Neutral1–4
11-29Cal St. FullertonL 69–8370.3Away1–5
12-02Abilene ChristianL 63–7161.9Home1–6
12-06VermontL 56–6562.4Home1–7
12-13CSU BakersfieldW 70–6267.5Away2–7
12-18Long Beach St.L 78–8169.9Away2–8
12-20RiceW 84–6270.5Home3–8
12-28GonzagaL 56–9670.8Home3–9
12-30Saint Mary's (CA)L 45–7261.3Home3–10
01-02Santa ClaraL 63–8274.6Away3–11
01-04PacificL 69–7466.7Away3–12
01-08San DiegoL 63–8367.2Away3–13
01-10San FranciscoL 60–8066.3Home3–14
01-14PortlandW 67–6367.4Home4–14
01-21GonzagaL 60–8469.5Away4–15
01-24Washington St.L 79–9571.1Away4–16
01-28San DiegoL 88–92 1OT80.3Home4–17
02-04Seattle UL 81–8376.5Away4–18
02-07PacificL 59–9272.5Home4–19
02-11Saint Mary's (CA)L 60–8871.6Away4–20
02-14LMU (CA)W 90–8971.2Home5–20
02-18PortlandW 95–8769.7Away6–20
02-21Oregon St.L 73–8372.0Away6–21
02-25Seattle UL 80–8770.1Home6–22
02-28Washington St.W 88–7975.5Home7–22
03-05PortlandL 68–7769.3Neutral7–23

Roster · 13 players

Player logs in 30 of 30 team games

Team roster, season totals
Column groupsMinutesSeason TotalsShootingLast Five Team Games
PlayerGMPGTeam Min%PtsRebAstStlBlkTOPF2P2P%3P3P%FTFT%eFG%TS%FTA/FGAGMPGMin%Pts/G
Styles Phipps3034:2185.2%4101781534558680115–25145.8%20–7128.2%120–15378.4%45.0%52.7%47.5%533:14 −1:0783.1%15.2 +1.5
Aaron Clark3032:3680.8%46010182344835295–20845.7%58–16036.3%96–12378.0%49.5%54.5%33.4%532:55 +0:1982.3%18.8 +3.5
Javon Cooley3030:1374.9%34514132318425974–14650.7%40–13529.6%77–9184.6%47.7%53.7%32.4%532:41 +2:2781.7%11.6 +0.1
Danilo Dozic2531:5165.8%27064351013343048–10446.2%43–12035.8%45–5778.9%50.2%54.2%25.4%————
Yonatan Levy3020:5351.8%14911850236447838–7451.4%14–4531.1%†31–4077.5%49.6%54.5%33.6%526:51 +5:5767.1%5.0 0.0
Pavle Stosic3015:5139.3%99110201114195834–6254.8%†4–2317.4%†19–3554.3%47.1%†49.3%†41.2%†516:25 +0:3441.0%3.4 +0.1
Stefan Cicic3012:4831.7%1347710826264151–9056.7%3–1225.0%†23–4156.1%54.4%55.8%40.2%530:43 +17:5576.8%12.8 +8.3
Luka Vudragovic2911:4828.3%9431962131322–4153.7%13–6221.0%11–1384.6%†40.3%43.2%12.6%44:31 −7:179.0%1.8 −1.5
David Mager2910:0824.3%1122365343325–6538.5%16–4337.2%†14–2070.0%†45.4%47.9%18.5%517:54 +7:4744.8%10.8 +6.9
Nikola RadovanovicUnder 100 minutes164:376.1%19153214125–955.6%†1–425.0%†6–875.0%†50.0%†57.5%†61.5%†53:28 −1:098.7%1.4 +0.2
Vladimir SudarUnder 100 minutes163:525.1%135520522–728.6%†1–520.0%†6–1060.0%†29.2%†39.6%†83.3%†23:17 −0:353.3%1.0 +0.2
Pasha ShemiraniUnder 100 minutes163:254.5%67200060–40.0%†2–540.0%†0–0—33.3%†33.3%†0.0%†10:37 −2:480.3%0.0 −0.4
Preston PhillipsFew gamesUnder 100 minutes19:380.8%01001000–0—0–0—0–0————————
Team, games with logs · season totals30 games2111987409not published83385not published509–106148.0%215–68531.4%448–59175.8%47.6%52.6%33.8%
Sum of players211187140717783360464Shooting residuals: see Player Lines Against Team Totals.
Residual: team minus players0+116+2not published0+25not published

G: logged games. Team Min%: share of team minutes on court (40 per game plus overtime). 2P, 3P and FT show made–attempted. † Few attempts: under 100 FGA, 50 3PA or 25 FTA. Few G: under 10 games. <100 min: under 100 minutes. Last Five Team Games columns show change from the season value and hide on narrow screens.

Speculative Compensation · 2025–26β

Estimated share of the school's revenue-sharing budget for men's basketball. Not observed pay.

Team Pool
$740K
80% Range $315K to $1.60M
Tier
Mid and high major
low to medium evidence
Team Pool, Scenarios Z1 to Z4
$685K to $830K
Scenario medians
Players with Figures
13
4 floor only
Players in possession-share order
PlayerPoss. ShareSpeculative Best Guess80% RangeRange GraphicMedian % of Team PoolScenarios Z1 to Z4Floor PartEvidence and Flags
Styles Phipps85.3%$86K$6K to $260K16.1%$80K to $96K$5KSufficient evidenceRange driven by assumption, not data
Aaron Clark82.7%$68K$5K to $230K13.8%$64K to $76K$5KSufficient evidenceRange driven by assumption, not data
Javon Cooley74.2%$25K$3K to $145K5.5%$23K to $28K$5KSufficient evidenceRange driven by assumption, not data
Danilo Dozic63.9%$32K$3K to $135K7.3%$30K to $36K$5KSufficient evidenceRange driven by assumption, not data
Yonatan Levy53.5%$66K$7K to $190K11.0%$61K to $73K$5KSufficient evidenceRange driven by assumption, not data
Pavle Stosic40.1%$215K$57K to $865K26.6%$200K to $235K$5KSufficient evidenceRange driven by assumption, not data
Stefan Cicic32.1%$20K$3K to $79K4.3%$19K to $22K$5KSufficient evidenceRange driven by assumption, not data
Luka Vudragovic26.8%$21K$4K to $76K4.0%$19K to $23K$5KSufficient evidenceRange driven by assumption, not data
David Mager24.8%$15K$3K to $59K2.9%$14K to $17K$5KSufficient evidenceRange driven by assumption, not data
Nikola Radovanovic6.3%$5K$2K to $13K0.8%$5K to $6K$5KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Vladimir Sudar4.9%$5K$2K to $13K0.8%$5K to $6K$5KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Pasha Shemirani4.7%$5K$2K to $13K0.8%$5K to $6K$5KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Preston Phillips0.8%$5K$2K to $13K0.8%$5K to $6K$5KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Team Pool—$740K$315K to $1.60M100%$685K to $830K—

What-If Calculator · Speculativeβ

Re-runs the 4,000 joint draws with your inputs. The address saves your inputs.

School Finances · School-Reported (EADA)

Self-reported to the U.S. Department of Education. Expenses cover coaching, travel, aid and operations, not player pay.

School-reported finances, 2024-25, Pepperdine University (NCAA Division I without football)
MeasureSchool-Reported AmountNote
Men's basketball revenue$5,590,356Equals expenses (budget identity)
Men's basketball expenses$5,590,356
Athletics department expenses$34,145,327
Athletics department revenue$34,145,327

Team Totalsβ

Season totals, 30 games, 2,101 possessions. Observed box-score sums, unadjusted. Definitions

Team and opponent season totals
StatisticTeamOpponents
Points2,1112,390
Field goals made724872
Field goals attempted1,7461,852
3-pointers made215265
3-pointers attempted685747
Free throws made448381
Free throws attempted591527
Offensive rebounds311348
Defensive rebounds676759
Total rebounds9871,107
Assists409487
Blocks83114
Turnovers385347
StealsNo team figure. Players sum to 177.
Personal foulsNo team figure. Players sum to 464.
Minutes (derived)6,050not published

30 of 30 games have player logs. Residual is team total minus sum of players. Team rebounds and team turnovers have no player owner, so a residual is expected. Definitions

Player lines against team totals
StatisticStatusTeam Total, Logged GamesSum of PlayersResidualToleranceTeam Total, Games Without Logs
PointsReconciled2,1112,1110±10.60
Field goals madeReconciled7247240±3.60
Field goals attemptedReconciled1,7461,7460±8.70
3-pointers madeReconciled2152150±2.00
3-pointers attemptedReconciled6856850±3.40
Free throws madeReconciled4484480±2.20
Free throws attemptedReconciled5915910±3.00
Offensive reboundsNo player splitnot publishednot publishednot publishednot publishednot published
Defensive reboundsNo player splitnot publishednot publishednot publishednot publishednot published
Total reboundsResidual shown987871+116±79.00
AssistsReconciled409407+2±2.00
BlocksReconciled83830±2.00
TurnoversResidual shown385360+25±11.50
StealsNo team figurenot published177not publishednot publishednot published
Personal foulsNo team figurenot published464not publishednot publishednot published
Minutes (derived)Reconciled6,0506,034+15.8±121.00

Model-Implied Player Valueβ

Ranges are the 10th to 90th percentile of whole-game resampling draws. They are not calibrated intervals.

Open circle: limited evidence. Filled circle: sufficient evidence. Line: zero. No graphic: insufficient evidence.

Net points per 100 possessions, in possession-share order.
PlayerPoss. ShareNet and RangeβRange Graphic
Styles Phipps85.3%-0.7range -1.5 to +0.2Sufficient evidence
Aaron Clark82.7%-1.2range -2.2 to +0.2Sufficient evidence
Javon Cooley74.2%-2.4range -3.6 to -1.1Sufficient evidence
Danilo Dozic63.9%-1.8range -3.0 to -0.7Sufficient evidence
Yonatan Levy53.5%-0.5range -1.5 to +0.4Sufficient evidence
Pavle Stosic40.1%+2.4range +1.4 to +3.5Sufficient evidence
Stefan Cicic32.1%-1.7range -2.7 to -0.6Sufficient evidence
Luka Vudragovic26.8%-1.6range -3.1 to -0.1Sufficient evidence
David Mager24.8%-2.0range -3.3 to -0.7Sufficient evidence
Nikola Radovanovic6.3%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
Vladimir Sudar4.9%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
Pasha Shemirani4.7%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
Preston Phillips0.8%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence

Team Aggregate of Player Values, 2026β

Summary of the player values below. Split role: descriptive: not used in fit or gates. Model nil-value-v3. Definitions · NIL Methodology

Average value over five on-court slots, net points per 100 possessions
+8.1range +7.3 to +9.0Sufficient evidence

200 joint draws. The range is the 10th to 90th percentile. Player ranges cannot be added.

9 valued players hold 96.7% of on-court time. 4 without a value (under 300 possessions) hold 3.3%, counted at replacement level -9.5. Limited-evidence players hold 0.0%.

NIL Methodology · Scheduling and Model-Implied Value