SSILVERMINECollege basketball stats
LIVE BOARD
2026–27 SEASON
← Program librarySource edition Sep 12, 2026
The program dossier / men’s basketball

UC San Diego

2025–26 performance, personnel and game context.
A starting point for 2026–27 preparation.

Independent preseason modelNo.97

+7.3 adjusted net
per 100 estimated possessions

23112025–26 recorded finals
109.2Adjusted offense · 2026–27 baseline
101.9Adjusted defense · lower is better
67.5Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on UC San Diego.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

231134 recorded games · 34 paired efficiency samples · pace 69.8Mean opponent adj. net -2.1 · 32 rated opponents
Offense

Effective FG%

52.8%34 games · higher is betterRank 129 / 366 · 65th favorable percentile
Defense

Opponent effective FG%

48.7%34 games · lower is betterRank 64 / 366 · 83th favorable percentile
Offense

Turnover rate

16.4%34 games · lower is betterRank 168 / 366 · 54th favorable percentile
Defense

Turnovers forced

17.1%34 games · higher is betterRank 156 / 366 · 58th favorable percentile
Offense

Offensive rebound rate

27.3%34 games · higher is betterRank 299 / 366 · 18th favorable percentile
Defense

Opponent offensive rebound rate

26.6%34 games · lower is betterRank 39 / 366 · 90th favorable percentile
Offense

Free-throw attempt rate

32.3%34 games · higher is betterRank 249 / 366 · 32th favorable percentile
Defense

Opponent free-throw attempt rate

28.6%34 games · lower is betterRank 49 / 366 · 87th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency108.434Points per 100 estimated possessions.
Defensive efficiency100.734Opponent points per 100 estimated possessions.
Two-point FG%55.2%34(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%49.2%34Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%33.1%343PM / 3PA.
Opponent three-point FG%32.0%34Opponent 3PM / 3PA.
Three-point attempt share42.7%343PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share43.6%34Opponent 3PA / FGA; a style measure.
Free-throw accuracy69.5%34FTM / FTA.
Opponent free-throw accuracy71.9%34Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share55.7%34Assists / FGM; describes recorded ball movement.
Opponent assisted FG share56.2%34Opponent assists / FGM.

Window changes describe the historical sample; they do not refit the preseason model. Full-season ranks require 10 games. Percentiles compare qualifying programs in the model’s rated field. Source coverage can differ by metric.

NCAA source context / 202526

What did the possessions look like?

Compare possession style →
1.073
Points / source possession
70.56
Source possessions / game
24.4%
Transition share
21.3%
Assisted share
1.4%
Garbage-time share

2,399 source possession rows across 34 recorded team-games. These are descriptive NCAA source aggregates: they do not assign individual credit or enter the forecast.

02 / The film queue

Turn a number into a question.

Full-season relative strengths and watch points
A relative strength

Opponent offensive rebound rate

26.6% · rank 39 of 366 · 34 games

Which matchups demand an extra box-out assignment?

A relative strength

Opponent free-throw attempt rate

28.6% · rank 49 of 366 · 34 games

Which defenders can protect the paint without surrendering free throws?

A closer look

Free-throw attempt rate

32.3% · rank 249 of 366 · 34 games

Who generates contact, and how do opponents keep them off the line?

A closer look

Offensive rebound rate

27.3% · rank 299 of 366 · 34 games

Who crashes the glass, and how does that affect transition defense?

These are stat-led film prompts, not verified explanations of a scheme. Lower-ranked factors can still be above average. A five-point-or-closer final occurred 12 times in the selected window; UC San Diego won 6. That small-sample record is not a clutch-skill estimate.

03 / How the season moved

Read beyond the average.

● Offense● Opponent offenseRaw points / 100 possessions · game order
Unadjusted efficiency by game. Focus a point to inspect it.60105150OldestNewest

Mar 13, 2026 · neutral vs CSU Northridge · L 70–80 · offense 96.4 / defense 110.2

Higher offense and lower opponent offense are better. Opponent strength and venue are not adjusted here. Missing paired boxes create gaps.

Open the game-by-game scouting log · 34 games
Game / venueResultCurrent opponent rankOff. eff.Def. eff.PaceeFG%TO%ORB%
CSU NorthridgeMar 13, 2026 · neutralL 708017196.4110.272.645.120.725.6
Cal PolyMar 12, 2026 · neutralW 726924698.394.273.250.017.820.0
Santa BarbaraMar 8, 2026 · roadW 6463143102.5100.962.448.111.220.6
FullertonMar 6, 2026 · roadL 7175255101.6107.469.956.721.520.0
Cal PolyMar 1, 2026 · homeW 8064246114.091.270.252.28.524.4
BakersfieldFeb 27, 2026 · homeW 8472311117.6100.871.457.716.833.3
UC IrvineFeb 22, 2026 · roadW 716995112.2109.063.352.514.233.3
UC RiversideFeb 15, 2026 · homeW 7266241101.392.971.146.714.123.1
UC DavisFeb 13, 2026 · homeW 685119396.772.570.361.029.916.7
Hawai'iFeb 8, 2026 · roadL 677213690.397.074.248.314.87.9
Long Beach StFeb 6, 2026 · homeW 7774265103.299.174.650.924.132.4
CSU NorthridgeFeb 1, 2026 · roadL 648117185.1107.775.240.014.629.2
Santa BarbaraJan 30, 2026 · homeL 486214373.294.565.641.029.025.7
UC IrvineJan 25, 2026 · homeL 59619584.086.970.240.812.818.2
UC DavisJan 23, 2026 · roadW 8074193107.599.574.455.521.534.4
BakersfieldJan 17, 2026 · roadW 8362311116.687.171.254.811.223.1
CSU NorthridgeJan 16, 2026 · homeL 7984171109.1116.072.448.58.321.4
UC RiversideJan 11, 2026 · roadW 6966241106.7102.064.754.218.631.0
FullertonJan 9, 2026 · homeL 7188255102.2126.769.548.224.535.3
Hawai'iJan 4, 2026 · homeW 8373136122.8108.067.654.711.831.3
Cal PolyJan 2, 2026 · roadL 656724697.9100.966.441.516.634.9
StantonDec 29, 2025 · homeW 8562Unrated125.891.867.653.913.340.9
San DiegoDec 20, 2025 · homeL 8082263118.7121.667.457.613.427.6
LMUDec 17, 2025 · roadW 675716094.580.470.949.222.637.1
TulaneDec 14, 2025 · neutralW 9367168119.285.978.054.715.439.5
Long Beach StDec 7, 2025 · roadW 8074265118.0109.167.861.016.217.9
NevadaDec 3, 2025 · roadL 707659108.8118.164.344.96.230.2
TowsonNov 26, 2025 · neutralW 8773150135.7113.964.175.510.920.0
BradleyNov 25, 2025 · neutralW 877798124.4110.169.957.112.927.3
TempleNov 24, 2025 · neutralW 9176142133.0111.168.473.27.37.4
IdahoNov 15, 2025 · homeW 7567214107.395.969.953.015.712.9
Fresno StNov 13, 2025 · roadW 7873188109.7102.771.160.025.334.3
Hou ChristianNov 9, 2025 · homeW 7860324112.486.469.458.617.326.7
La VerneNov 4, 2025 · homeW 10573Unrated139.797.175.259.416.048.6
04 / The people behind the possessions

Personnel and workload.

Full player index →

2025–26 recorded affiliations, independent of the split selector. This is not a confirmed 2026–27 roster. Inspect roster observations →

PlayerGPMIN/GPTS/GREB/GAST/GTS%Est. usageUsage gamesAST/TO3PA
Tom BeattieG3431.210.65.33.454.418.0%342.3234 games13434 games
Leo BeathF3430.112.25.11.653.321.6%341.1034 games14934 games
Alex ChaikinG3425.09.72.11.257.619.4%340.9834 games19434 games
Bol DengditF3423.410.75.21.755.124.9%340.9434 games8534 games
Hudson MayesG3323.911.15.71.761.821.5%331.3933 games3133 games
Aidan BurkeG3421.76.22.51.556.714.4%342.1334 games11634 games
Emanuel Prospere IIG2822.18.03.83.153.421.7%281.5328 games3428 games
Jaden VanceF2413.55.02.10.655.120.8%240.5824 games3624 games
Trap JohnsonG249.22.61.30.251.215.3%240.6724 games3624 games

Usage is a minutes-based estimate over the stated sample, not a direct measure of on-court possessions. Low-minute estimates are noisy. AST/TO is unavailable when recorded turnovers are zero; missing fields are never filled with zero.

05 / Recruiting evidence

What changed around UC San Diego?

Open the full recruiting file →Build a role shortlist →

This panel keeps dated school publications, source-listed roster observations and prior college production in separate evidence lanes. A source record does not establish eligibility, availability or a future role.

16Source-listed players
14Same-program prior records
0Different-program records
100%Prior minutes represented
Role workload watch

Which source-listed role is represented?

Open roster lab →

Prior minutes are grouped by the source-reported position on the current listing. “Unrepresented” means prior minutes not attached to a same-program listing in this release; it does not establish a departure, transfer, eligibility or expected role.

RoleListedPrior minutesReturning minutesIncoming prior minutesReturning shareUnrepresented
Guard114,3304,330100%
Forward42,2912,291100%
Center1179179100%

0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (6,800 minutes).

No dated school announcement is in the selected review file for this program. The roster row below is observation-only; absence of a reviewed announcement does not mean the program made no move.

No announced additions are in the reviewed file for this program.

Roster observation

Who is listed in the source release?

Rank this roster’s workload →

16 source-listed players. Prior rates below are attached by exact source ID where available; missing values remain missing.

PlayerObservationPrior MPGPrior PPGPrior TS%
Tom BeattieGSame programUC San Diego Tritons31.210.654.4%
Leo BeathFSame programUC San Diego Tritons30.112.253.3%
Alex ChaikinGSame programUC San Diego Tritons25.09.757.6%
Bol DengditFSame programUC San Diego Tritons23.410.755.1%
Hudson MayesGSame programUC San Diego Tritons23.911.161.8%
Aidan BurkeGSame programUC San Diego Tritons21.76.256.7%
Emanuel Prospere IIGSame programUC San Diego Tritons22.18.053.4%
Jaden VanceFSame programUC San Diego Tritons13.55.055.1%
Trap JohnsonGSame programUC San Diego Tritons9.22.651.2%
Dimitrije VukicevicCSame programUC San Diego Tritons7.22.658.6%
Cade PendletonFSame programUC San Diego Tritons7.72.142.2%
Ryder ElisaldezGSame programUC San Diego Tritons4.30.976.3%

Showing the 12 highest prior-minute records. Open the full roster board for every source-listed player.

Recruiting review edition Sep 8, 2026 · coverage is partial (14 programs reviewed). See the full methodology and coverage map before drawing a roster conclusion.

Look ahead / 2026–27

The next assignments.

Full published slate →

Checking the live schedule edition…

ON THE SCHEDULEDec 22, 2026 · TIME TBD

UC San Diego vs San José St

73.5UC San Diego
69.0San José St
San José St win estimate41.8%
Model signalToss-up
Projected home margin-4.5
Projected total142.5
80% home-margin range-20.4 to 11.4
Estimated possessions65.5
Why the model tiltsfour-factor edge
Shot qualityHome 1.6 pts
San José St attack 50.9% · UC San Diego defense 49.8%
UC San Diego attack 52.8% · San José St defense 53.3%
Ball securityHome 0.7 pts
San José St attack 16.1% · UC San Diego defense 17.8%
UC San Diego attack 15.6% · San José St defense 16.6%
Second chancesHome 7.4 pts
San José St attack 29.5% · UC San Diego defense 27.8%
UC San Diego attack 26.6% · San José St defense 32.3%
Free-throw pressureHome 1.8 pts
San José St attack 31.4% · UC San Diego defense 29.8%
UC San Diego attack 31.7% · San José St defense 31.9%
Opponent-adjusted rates from the 202526 season. Positive edge favors the home side; defensive direction follows the factor (lower allowed shooting, rebounding and free-throw rates, higher forced-turnover rate).

Provident Credit Union Event Center
Preseason baseline · roster changes are not model features.
No verified pregame market line imported. Check the forecast record →

Read the matchup brief →Open ESPN source game ↗

Read the evidence correctly.

The top-line adjusted ratings use the full published preseason model. Split statistics below them are unadjusted observations from 2025–26. Opponent ranks are the current model’s ranks, not what was known before each historical game. The “top 50” split is descriptive and does not enter model evaluation.

Rates pool numerators and denominators from games with all fields required for that metric. Missing values remain unavailable; every metric shows its game count. Ranks require at least 10 games and compare programs in the model’s rated field. Ties share rank; percentiles use their average position. High percentiles mean favorable values only for metrics with a defined direction.

Player workloads refer to recorded 2025–26 appearances. Estimated usage divides FGA + 0.475 × FTA + turnovers by minutes-prorated team opportunities in those same games. It assumes team opportunity rates were constant while a player was on court; it is not a lineup or play-by-play measurement. Overtime is included in available minutes. Minutes and usage samples can differ.

Source statistics: SportsDataverse bulk releases, CC BY 4.0. Calculations and model: Silvermine. Definitions draw on publicly documented Four Factors and basketball rate statistics; these are not another publisher’s proprietary ratings. Model notebook →