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

UCLA

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

Independent preseason modelNo.27

+18.8 adjusted net
per 100 estimated possessions

24122025–26 recorded finals
116.7Adjusted offense · 2026–27 baseline
98.0Adjusted defense · lower is better
66.0Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on UCLA.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

241236 recorded games · 36 paired efficiency samples · pace 65.8Mean opponent adj. net 11.9 · 36 rated opponents
Offense

Effective FG%

53.4%36 games · higher is betterRank 102 / 366 · 72th favorable percentile
Defense

Opponent effective FG%

50.4%36 games · lower is betterRank 152 / 366 · 59th favorable percentile
Offense

Turnover rate

13.4%36 games · lower is betterRank 13 / 366 · 97th favorable percentile
Defense

Turnovers forced

18.5%36 games · higher is betterRank 85 / 366 · 77th favorable percentile
Offense

Offensive rebound rate

31.0%36 games · higher is betterRank 185 / 366 · 50th favorable percentile
Defense

Opponent offensive rebound rate

33.3%36 games · lower is betterRank 320 / 366 · 13th favorable percentile
Offense

Free-throw attempt rate

33.1%36 games · higher is betterRank 235 / 366 · 36th favorable percentile
Defense

Opponent free-throw attempt rate

34.4%36 games · lower is betterRank 179 / 366 · 51th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency116.036Points per 100 estimated possessions.
Defensive efficiency106.936Opponent points per 100 estimated possessions.
Two-point FG%51.4%36(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%52.3%36Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%37.9%363PM / 3PA.
Opponent three-point FG%32.0%36Opponent 3PM / 3PA.
Three-point attempt share35.5%363PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share44.8%36Opponent 3PA / FGA; a style measure.
Free-throw accuracy76.3%36FTM / FTA.
Opponent free-throw accuracy74.7%36Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share59.2%36Assists / FGM; describes recorded ball movement.
Opponent assisted FG share63.3%36Opponent 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 →
1.164
Points / source possession
66.33
Source possessions / game
18.1%
Transition share
24.3%
Assisted share
2.2%
Garbage-time share

2,388 source possession rows across 36 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

Turnover rate

13.4% · rank 13 of 366 · 36 games

Where do turnovers occur under pressure, and who can relieve that pressure?

A relative strength

Turnovers forced

18.5% · rank 85 of 366 · 36 games

Which defensive actions produce takeaways, and what shots do they concede?

A closer look

Free-throw attempt rate

33.1% · rank 235 of 366 · 36 games

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

A closer look

Opponent offensive rebound rate

33.3% · rank 320 of 366 · 36 games

Which matchups demand an extra box-out assignment?

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 9 times in the selected window; UCLA 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.50110170OldestNewest

Mar 23, 2026 · neutral vs UConn · L 57–73 · offense 90.5 / defense 115.9

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 · 36 games
Game / venueResultCurrent opponent rankOff. eff.Def. eff.PaceeFG%TO%ORB%
UConnMar 23, 2026 · neutralL 57731090.5115.963.043.917.524.2
UCFMar 20, 2026 · neutralW 757156106.3100.670.644.111.334.9
PurdueMar 14, 2026 · neutralL 66739110.7122.459.650.010.127.3
Michigan StMar 14, 2026 · neutralW 888413131.9125.966.767.612.025.0
RutgersMar 13, 2026 · neutralW 7259107104.685.768.844.214.534.3
USCMar 8, 2026 · roadW 896872142.2108.762.665.39.636.7
NebraskaMar 4, 2026 · homeW 725224118.785.760.755.013.232.4
MinnesotaFeb 28, 2026 · roadL 737891131.4140.455.659.610.835.7
USCFeb 25, 2026 · homeW 816272123.494.565.654.87.625.0
IllinoisFeb 22, 2026 · homeW 95947130.4129.064.859.06.925.8
Michigan StFeb 18, 2026 · roadL 59821390.1125.365.543.916.823.7
MichiganFeb 14, 2026 · roadL 5686687.5134.364.043.120.336.1
WashingtonFeb 8, 2026 · homeW 777366117.3111.265.748.210.738.7
RutgersFeb 4, 2026 · homeW 9866107155.5104.763.065.13.234.5
IndianaJan 31, 2026 · homeL 979844109.5110.670.944.111.327.3
OregonJan 29, 2026 · roadW 735761118.592.561.645.76.532.4
NorthwesternJan 24, 2026 · homeW 716453110.599.664.256.615.625.0
PurdueJan 21, 2026 · homeW 69679118.2114.858.465.717.119.0
Ohio StateJan 17, 2026 · roadL 748625118.5137.762.547.68.035.9
Penn StateJan 15, 2026 · roadW 7160103118.3100.060.053.223.342.3
MarylandJan 11, 2026 · homeW 675563102.384.065.548.09.215.2
WisconsinJan 7, 2026 · roadL 728021100.9112.171.446.714.025.7
IowaJan 3, 2026 · roadL 61742898.3119.362.047.319.336.4
UC RiversideDec 23, 2025 · homeW 9765241124.183.278.155.112.832.4
Cal PolyDec 20, 2025 · homeW 10887246137.4110.778.667.210.216.0
Arizona StDec 18, 2025 · homeW 907784126.9108.670.958.111.331.4
GonzagaDec 14, 2025 · neutralL 72828109.7125.065.655.915.220.0
OregonDec 6, 2025 · homeW 746361121.9103.860.750.914.846.9
WashingtonDec 4, 2025 · roadW 828066126.1123.065.161.310.829.6
CaliforniaNov 26, 2025 · neutralL 7280104101.9113.270.746.115.633.3
PresbyterianNov 22, 2025 · homeW 8646257127.968.467.368.616.426.1
Sacramento StNov 19, 2025 · homeW 7948314111.567.870.854.321.233.3
ArizonaNov 15, 2025 · neutralL 6569396.3102.367.550.923.727.3
West GeorgiaNov 11, 2025 · homeW 8362325127.195.065.354.516.848.1
PepperdineNov 8, 2025 · homeW 7463261117.9100.462.852.915.940.6
E WashingtonNov 4, 2025 · homeW 8074199113.2104.770.752.911.333.3
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
Donovan DentG3534.413.32.97.646.724.7%354.1435 games7135 games
Trent PerryG3529.912.63.02.859.221.2%352.0635 games12035 games
Eric Dailey Jr.G3527.611.65.81.355.922.5%351.0035 games9835 games
Tyler BilodeauF3130.217.65.61.165.625.9%310.8331 games13831 games
Skyy ClarkG2628.611.52.32.060.619.2%262.0826 games12426 games
Xavier BookerF3620.27.33.50.863.217.0%361.1736 games6736 games
Jamar BrownG3615.63.82.70.557.312.1%361.5836 games7436 games
Brandon WilliamsG3412.22.61.90.349.112.6%341.3834 games2534 games
Steven Jamerson IIF3310.22.02.10.572.510.3%330.7633 games033 games
Eric FreenyG2811.02.01.60.446.811.9%281.3328 games2728 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 UCLA?

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.

14Source-listed players
12Same-program prior records
0Different-program records
87%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
Guard105,2645,264100%
Forward41,0751,075100%
Center0

0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (6,339 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 →

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

PlayerObservationPrior MPGPrior PPGPrior TS%
Donovan DentGSame programUCLA Bruins34.413.346.7%
Trent PerryGSame programUCLA Bruins29.912.659.2%
Eric Dailey Jr.GSame programUCLA Bruins27.611.655.9%
Skyy ClarkGSame programUCLA Bruins28.611.560.6%
Xavier BookerFSame programUCLA Bruins20.27.363.2%
Jamar BrownGSame programUCLA Bruins15.63.857.3%
Brandon WilliamsGSame programUCLA Bruins12.22.649.1%
Steven Jamerson IIFSame programUCLA Bruins10.22.072.5%
Eric FreenyGSame programUCLA Bruins11.02.046.8%
Anthony Peoples Jr.FSame programUCLA Bruins2.20.450.0%
Jack SeidlerGSame programUCLA Bruins1.50.318.3%
Christian HorryGSame programUCLA Bruins1.80.00.0%

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…

NEUTRAL FLOORNov 2, 10:00 PM ET

UCLA vs Arizona

70.4UCLA
78.4Arizona
Arizona win estimate73.8%
Model signalLean
Projected home margin8.0
Projected total148.8
80% home-margin range-8.0 to 23.9
Estimated possessions68.7
Why the model tiltsfour-factor edge
Shot qualityAway 0.5 pts
Arizona attack 55.7% · UCLA defense 48.8%
UCLA attack 53.2% · Arizona defense 45.9%
Ball securityHome 2.6 pts
Arizona attack 15.5% · UCLA defense 20.1%
UCLA attack 15.1% · Arizona defense 17.1%
Second chancesAway 0.2 pts
Arizona attack 36.5% · UCLA defense 29.4%
UCLA attack 32.3% · Arizona defense 25.0%
Free-throw pressureHome 1.0 pts
Arizona attack 40.6% · UCLA defense 33.3%
UCLA attack 34.9% · Arizona defense 28.6%
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).

T-Mobile Arena
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 →