Algosys College Basketball

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Pacific

WCC · 2025–26 · Raw net rank 138 · Raw net 2.3 · Tempo 65.8 · 31 Division I games · Through 2026-03-08

All seasons
Record
16–15
16 wins
AdjNet
3.3β
rank 120 of 365
AdjO
108.9β
rank 158 of 365
AdjD
105.6β
rank 108 of 365
AdjT
65.8β
SOS
1.7β
rank 117 of 363
NCSOS
-0.0β
WAB
-6.7β
rank 144 of 363
RR
-1.0β
Exp. W
17.0β

Scouting Report

CategoryOffenseDefenseD-I Average
Efficiency
Efficiency / 100 poss.108.0183105.7101108.5
Four Factors
Effective FG%52.214050.010151.4
TO / 100 poss.20.134915.127416.7
Offensive rebound %35.34125.0830.6
FTA / FGA %30.529736.321935.0
Shooting
3P%35.86434.723233.9
2P%51.320048.55251.7
FT%75.56770.47272.5
Style
3PA / FGA %35.342.839.5
Assists / FGM %58.250.552.6
Blocks / opp. 2PA %6.910.69.5
Point Distribution
3-pointers %29.835.531.4
2-pointers %52.144.248.8
Free throws %18.120.419.8

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

Rotation Depth

Effective Rotation Size
7.6
Top Three Share of Minutes
49%
Bench Share of Minutes
26%
Players with Logged Minutes
12

Bench: players outside the top five in minutes. Definitions

Schedule and Results

DateOpponentResultPoss.SiteRecord
11-08NevadaL 77–7867.3Away0–1
11-12Long Beach St.W 69–6668.6Home1–1
11-15Cal St. FullertonW 85–7378.3Away2–1
11-20Fla. AtlanticL 59–8265.0Away2–2
11-24Stony BrookW 86–5866.8Neutral3–2
11-25JacksonvilleW 68–5360.7Neutral4–2
11-29Sacramento St.W 68–5470.8Home5–2
12-03Air ForceW 80–6560.9Away6–2
12-06CaliforniaL 61–6760.8Away6–3
12-16BYUL 57–9371.6Away6–4
12-21NichollsW 95–8272.0Home7–4
12-28San DiegoL 54–6664.0Away7–5
12-30LMU (CA)L 71–8069.6Away7–6
01-02Oregon St.W 84–5362.3Home8–6
01-04PepperdineW 74–6966.7Home9–6
01-08PortlandL 89–90 1OT73.4Away9–7
01-10San DiegoW 77–7069.9Home10–7
01-14Santa ClaraL 69–8565.6Away10–8
01-17Oregon St.W 81–6462.0Away11–8
01-24Seattle UW 56–5462.7Home12–8
01-28PortlandW 74–5163.7Home13–8
01-31San FranciscoL 82–8767.7Away13–9
02-04Santa ClaraL 56–7164.1Home13–10
02-07PepperdineW 92–5972.5Away14–10
02-11LMU (CA)W 65–5963.0Home15–10
02-14Saint Mary's (CA)L 61–7263.4Home15–11
02-18Washington St.L 70–8765.5Away15–12
02-21GonzagaL 62–7161.2Away15–13
02-28San FranciscoL 61–7264.5Home15–14
03-07Seattle UW 61–5864.6Neutral16–14
03-08Santa ClaraL 68–7659.2Neutral16–15

Roster · 12 players

Player logs in 31 of 31 team games

MinutesPer GameShootingLast Five Team Games
PlayerGMPGTeam Min%PtsRebAstStlBlkTOPF2P2P%3P3P%FTFT%eFG%TS%FTA/FGAGMPGMin%Pts/G
Elias Ralph3134:5587.0%16.76.71.90.91.02.12.2130–26149.8%51–13039.2%104–12186.0%52.8%58.2%30.9%534:40 −0:1586.7%17.4 +0.7
TJ Wainwright3132:0279.8%12.53.91.40.70.01.62.064–15242.1%65–16738.9%66–7291.7%50.6%55.5%22.6%531:55 −0:0779.8%8.4 −4.1
Jaden Clayton3130:4876.7%7.93.56.41.10.02.51.855–12843.0%32–10729.9%40–5474.1%43.8%47.5%23.0%532:08 +1:2080.3%9.0 +1.1
Justin Rochelin3127:4168.9%9.36.61.01.00.21.92.964–13148.9%32–8239.0%63–7979.7%52.6%57.9%37.1%532:04 +4:2380.2%8.2 −1.1
Isaac Jack3122:0755.1%8.95.10.50.30.50.83.2116–17765.5%0–0—43–7259.7%65.5%65.9%40.7%518:15 −3:5245.6%7.6 −1.3
Kajus Kublickas3119:2848.5%5.52.42.70.40.01.92.134–8142.0%22–7628.9%37–5172.5%42.7%47.6%32.5%517:40 −1:4844.2%5.0 −0.5
Jaion Pitt3116:4741.8%4.43.70.50.60.30.32.052–8164.2%†3–560.0%†24–3764.9%65.7%†67.0%†43.0%†518:39 +1:5246.6%4.2 −0.2
KC Ibekwe309:0421.9%3.51.60.40.20.30.71.449–8458.3%†0–0—7–2528.0%58.3%†55.3%†29.8%†411:26 +2:2222.9%4.0 +0.5
Alexis Marmolejos238:5516.5%3.71.50.30.30.00.40.612–2842.9%†15–4731.9%†16–1984.2%†46.0%†51.0%†25.3%†36:58 −1:5710.4%2.3 −1.4
Emmanuel Manyuon121:311.5%0.00.30.00.00.00.10.20–0—0–0—0–0————21:13 −0:191.2%0.0 0.0
Carlsheon Young12:560.2%0.00.00.00.00.02.03.00–0—0–0—0–0————————
Eyal Harel10:540.1%0.00.00.00.00.00.00.00–0—0–0—0–0————————
Team, games with logs · per game31 games71.438.114.92.213.3576–112351.3%220–61435.8%400–53075.5%52.2%56.1%30.5%
Sum of players71.434.614.95.42.212.218.3Shooting residuals: see Player Lines Against Team Totals.
Residual: team minus players0.0+3.5+0.00.0+1.1

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
$665K
80% Range $290K to $1.45M
Tier
Mid and high major
low to medium evidence
Team Pool, Scenarios Z1 to Z4
$655K to $700K
Scenario medians
Players with Figures
12
3 floor only
Players in possession-share order
PlayerPoss. ShareSpeculative Best Guess80% RangeRange GraphicMedian % of Team PoolScenarios Z1 to Z4Floor PartEvidence and Flags
Elias Ralph86.6%$94K$30K to $230K15.9%$92K to $98K$5KSufficient evidenceRange driven by assumption, not data
TJ Wainwright80.1%$60K$9K to $165K11.2%$58K to $62K$5KSufficient evidenceRange driven by assumption, not data
Jaden Clayton76.2%$170K$70K to $445K24.2%$165K to $180K$5KSufficient evidenceRange driven by assumption, not data
Justin Rochelin67.9%$60K$12K to $160K11.0%$59K to $63K$5KSufficient evidenceRange driven by assumption, not data
Isaac Jack56.0%$120K$48K to $320K16.9%$120K to $130K$5KSufficient evidenceRange driven by assumption, not data
Kajus Kublickas49.4%$25K$4K to $83K5.2%$24K to $26K$5KSufficient evidenceRange driven by assumption, not data
Jaion Pitt41.6%$24K$4K to $76K4.6%$24K to $25K$5KSufficient evidenceRange driven by assumption, not data
KC Ibekwe22.4%$18K$5K to $50K3.4%$18K to $19K$5KSufficient evidenceRange driven by assumption, not data
Alexis Marmolejos17.8%$24K$8K to $60K3.8%$23K to $25K$5KSufficient evidenceRange driven by assumption, not data
Emmanuel Manyuon1.6%$5K$2K to $13K0.8%$5K to $6K$5KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Carlsheon Young0.3%$5K$2K to $13K0.8%$5K to $6K$5KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Eyal Harel0.1%$5K$2K to $13K0.8%$5K to $6K$5KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Team Pool—$665K$290K to $1.45M100%$655K to $700K—

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, University of the Pacific (NCAA Division I without football)
MeasureSchool-Reported AmountNote
Men's basketball revenue$4,203,536Equals expenses (budget identity)
Men's basketball expenses$4,203,536
Athletics department expenses$28,038,025
Athletics department revenue$28,038,025

Team Totalsβ

Season per game, 31 games, 2,049 possessions. Observed box-score sums, unadjusted. Definitions

StatisticTeamOpponents
Points71.469.8
Field goals made25.723.7
Field goals attempted56.055.6
3-pointers made7.18.3
3-pointers attempted19.823.8
Free throws made12.914.2
Free throws attempted17.120.2
Offensive rebounds11.68.8
Defensive rebounds26.521.3
Total rebounds38.130.1
Assists14.912.0
Blocks2.23.8
Turnovers13.310.0
StealsNo team figure. Players sum to 168.
Personal foulsNo team figure. Players sum to 567.
Minutes (derived)200.8

31 of 31 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

StatisticStatusTeam Total, Logged GamesSum of PlayersResidualToleranceTeam Total, Games Without Logs
PointsReconciled2,2122,2120±11.10
Field goals madeReconciled7967960±4.00
Field goals attemptedReconciled1,7371,7370±8.70
3-pointers madeReconciled2202200±2.00
3-pointers attemptedReconciled6146140±3.10
Free throws madeReconciled4004000±2.00
Free throws attemptedReconciled5305300±2.60
Offensive reboundsNo player split
Defensive reboundsNo player split
Total reboundsResidual shown1,1811,072+109±94.50
AssistsReconciled463462+1±2.30
BlocksReconciled68680±2.00
TurnoversResidual shown411378+33±12.30
StealsNo team figure168
Personal foulsNo team figure567
Minutes (derived)Reconciled6,2256,198+27.1±124.50

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
Elias Ralph86.6%+0.9range -0.0 to +2.0Sufficient evidence
TJ Wainwright80.1%+0.2range -1.1 to +1.3Sufficient evidence
Jaden Clayton76.2%+3.1range +2.1 to +4.1Sufficient evidence
Justin Rochelin67.9%+0.5range -0.9 to +1.9Sufficient evidence
Isaac Jack56.0%+3.0range +1.8 to +4.1Sufficient evidence
Kajus Kublickas49.4%-0.8range -2.2 to +0.4Sufficient evidence
Jaion Pitt41.6%-0.8range -2.2 to +0.4Sufficient evidence
KC Ibekwe22.4%-0.2range -1.3 to +1.0Sufficient evidence
Alexis Marmolejos17.8%+0.9range -0.3 to +2.0Sufficient evidence
Emmanuel Manyuon1.6%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
Carlsheon Young0.3%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
Eyal Harel0.1%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
+10.4range +9.5 to +11.3Sufficient evidence

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

9 valued players hold 99.6% of on-court time. 3 without a value (under 300 possessions) hold 0.4%, counted at replacement level -9.5. Limited-evidence players hold 0.0%.

NIL Methodology · Scheduling and Model-Implied Value