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

UNLV

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

Independent preseason modelNo.111

+5.8 adjusted net
per 100 estimated possessions

18172025–26 recorded finals
110.6Adjusted offense · 2026–27 baseline
104.9Adjusted defense · lower is better
68.8Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on UNLV.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

181735 recorded games · 35 paired efficiency samples · pace 70.6Mean opponent adj. net 6.5 · 34 rated opponents
Offense

Effective FG%

53.4%35 games · higher is betterRank 101 / 366 · 73th favorable percentile
Defense

Opponent effective FG%

51.9%35 games · lower is betterRank 241 / 366 · 34th favorable percentile
Offense

Turnover rate

17.0%35 games · lower is betterRank 208 / 366 · 43th favorable percentile
Defense

Turnovers forced

17.9%35 games · higher is betterRank 115 / 366 · 69th favorable percentile
Offense

Offensive rebound rate

30.9%35 games · higher is betterRank 190 / 366 · 48th favorable percentile
Defense

Opponent offensive rebound rate

31.8%35 games · lower is betterRank 272 / 366 · 26th favorable percentile
Offense

Free-throw attempt rate

39.9%35 games · higher is betterRank 58 / 366 · 84th favorable percentile
Defense

Opponent free-throw attempt rate

44.7%35 games · lower is betterRank 353 / 366 · 4th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency110.535Points per 100 estimated possessions.
Defensive efficiency109.835Opponent points per 100 estimated possessions.
Two-point FG%54.2%35(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%51.5%35Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%34.8%353PM / 3PA.
Opponent three-point FG%35.1%35Opponent 3PM / 3PA.
Three-point attempt share36.3%353PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share36.7%35Opponent 3PA / FGA; a style measure.
Free-throw accuracy68.0%35FTM / FTA.
Opponent free-throw accuracy72.6%35Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share51.3%35Assists / FGM; describes recorded ball movement.
Opponent assisted FG share56.5%35Opponent 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 →
1.101
Points / source possession
71.74
Source possessions / game
22.7%
Transition share
19.8%
Assisted share
1.6%
Garbage-time share

2,511 source possession rows across 35 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

Free-throw attempt rate

39.9% · rank 58 of 366 · 35 games

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

A relative strength

Effective FG%

53.4% · rank 101 of 366 · 35 games

Which actions create the team's efficient looks, and which personnel can reproduce them?

A closer look

Opponent offensive rebound rate

31.8% · rank 272 of 366 · 35 games

Which matchups demand an extra box-out assignment?

A closer look

Opponent free-throw attempt rate

44.7% · rank 353 of 366 · 35 games

Which defenders can protect the paint without surrendering free throws?

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; UNLV won 7. 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.40100160OldestNewest

Mar 22, 2026 · road vs Tulsa · L 66–77 · offense 100.3 / defense 117.0

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 · 35 games
Game / venueResultCurrent opponent rankOff. eff.Def. eff.PaceeFG%TO%ORB%
TulsaMar 22, 2026 · roadL 6677116100.3117.065.850.810.616.2
UC IrvineMar 18, 2026 · roadW 757295101.397.374.063.927.018.8
Utah StateMar 12, 2026 · neutralL 60803086.0114.669.848.127.233.3
WyomingMar 11, 2026 · neutralW 7370132111.3106.765.651.916.831.3
San Diego StMar 7, 2026 · roadL 868943116.6120.773.756.512.223.5
Utah StateMar 4, 2026 · homeW 926530130.992.570.366.117.126.9
NevadaMar 1, 2026 · homeW 858359112.7110.067.156.921.238.2
Grand CanyonFeb 26, 2026 · roadL 67806596.4115.169.546.511.517.1
Air ForceFeb 21, 2026 · roadW 9166347132.095.769.067.55.811.5
Colorado StFeb 19, 2026 · homeL 869167131.5139.265.459.512.235.5
Boise StFeb 14, 2026 · roadW 868350123.7119.361.856.711.530.6
San José StFeb 11, 2026 · homeW 8275226121.1110.767.754.913.336.1
Grand CanyonFeb 7, 2026 · homeW 807865111.4108.671.849.216.735.1
Fresno StFeb 4, 2026 · roadL 9698188120.8123.379.563.423.941.4
NevadaJan 31, 2026 · roadL 768959113.5132.967.054.914.926.5
New MexicoJan 28, 2026 · homeL 61894081.5119.074.840.721.418.4
San Diego StJan 24, 2026 · homeL 718243104.6120.867.957.819.124.1
Utah StateJan 21, 2026 · roadW 867630125.9111.368.356.017.641.9
San José StJan 17, 2026 · roadW 7662226134.9110.156.365.012.421.7
Boise StJan 14, 2026 · homeW 898550111.2106.271.152.316.235.9
Colorado StJan 10, 2026 · roadL 62706796.8109.364.148.025.035.3
WyomingJan 7, 2026 · roadL 669813291.6136.072.142.716.627.5
Air ForceJan 3, 2026 · homeW 6739347102.559.765.346.716.838.5
La SierraDec 30, 2025 · homeW 8947Unrated121.864.373.150.715.150.0
Fresno StDec 21, 2025 · homeW 8472188122.1104.668.866.318.918.2
Tennessee StDec 14, 2025 · homeL 606320484.388.571.240.225.333.3
StanfordDec 7, 2025 · roadW 757477103.7102.372.350.919.431.6
RutgersNov 27, 2025 · neutralL 658010793.7115.469.443.711.524.4
AlabamaNov 26, 2025 · neutralL 761151296.6146.278.648.612.722.7
MarylandNov 25, 2025 · neutralL 67746391.5101.173.243.317.825.0
Saint Joseph'sNov 21, 2025 · homeW 9985108124.2106.679.747.815.151.0
MemphisNov 16, 2025 · roadW 927885115.397.779.855.517.534.4
MontanaNov 12, 2025 · homeL 93102178115.1126.280.855.112.428.2
ChattanoogaNov 9, 2025 · homeW 10169201148.9101.767.962.711.851.6
UT MartinNov 5, 2025 · homeL 8186234101.0107.280.253.027.431.3
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
Dra Gibbs-LawhornG3534.220.73.12.562.527.5%351.0135 games24435 games
Kimani HamiltonF3529.312.84.92.357.121.7%351.4535 games10235 games
Howie Fleming Jr.G3229.19.06.33.756.117.0%321.8632 games8332 games
Tyrin JonesF3227.011.95.01.457.820.8%321.3232 games832 games
Issac WilliamsonG3323.18.61.81.251.021.1%330.7833 games12933 games
Walter BrownF3320.33.82.81.153.111.1%331.2033 games4933 games
Jacob BannarbieF3016.25.44.81.356.118.2%301.1430 games430 games
Emmanuel StephenC2415.53.54.20.250.413.8%240.3224 games124 games
Al GreenG2912.64.41.20.753.617.7%291.4029 games6129 games
Naas CunninghamF2113.45.01.10.846.420.7%211.4221 games4721 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 UNLV?

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.

15Source-listed players
12Same-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
Guard83,2743,274100%
Forward63,4273,427100%
Center1373373100%

0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (7,074 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 →

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

PlayerObservationPrior MPGPrior PPGPrior TS%
Dra Gibbs-LawhornGSame programUNLV Rebels34.220.762.5%
Kimani HamiltonFSame programUNLV Rebels29.312.857.1%
Howie Fleming Jr.GSame programUNLV Rebels29.19.056.1%
Tyrin JonesFSame programUNLV Rebels27.011.957.8%
Issac WilliamsonGSame programUNLV Rebels23.18.651.0%
Walter BrownFSame programUNLV Rebels20.33.853.1%
Jacob BannarbieFSame programUNLV Rebels16.25.456.1%
Emmanuel StephenCSame programUNLV Rebels15.53.550.4%
Al GreenGSame programUNLV Rebels12.64.453.6%
Naas CunninghamFSame programUNLV Rebels13.45.046.4%
Ladji DembeleFSame programUNLV Rebels20.05.245.0%
Jalen CunninghamGSame programUNLV Rebels3.30.530.0%

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 17, 2026 · TIME TBD

UNLV vs Kansas

67.2UNLV
78.4Kansas
Kansas win estimate80.0%
Model signalStrong lean
Projected home margin11.2
Projected total145.5
80% home-margin range-4.8 to 27.1
Estimated possessions69.4
Why the model tiltsfour-factor edge
Shot qualityAway 3.8 pts
Kansas attack 53.9% · UNLV defense 50.6%
UNLV attack 52.4% · Kansas defense 45.2%
Ball securityHome 2.7 pts
Kansas attack 15.7% · UNLV defense 18.2%
UNLV attack 16.5% · Kansas defense 16.3%
Second chancesAway 3.1 pts
Kansas attack 30.4% · UNLV defense 30.3%
UNLV attack 29.5% · Kansas defense 26.3%
Free-throw pressureAway 13.6 pts
Kansas attack 32.2% · UNLV defense 36.8%
UNLV attack 38.1% · Kansas defense 29.2%
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).

Michelob ULTRA 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 ↗
ON THE SCHEDULEJan 5, 2027 · TIME TBD

UNLV vs Grand Canyon

70.1UNLV
77.1Grand Canyon
Grand Canyon win estimate71.7%
Model signalLean
Projected home margin7.0
Projected total147.3
80% home-margin range-8.9 to 22.9
Estimated possessions70.1
Why the model tiltsfour-factor edge
Shot qualityAway 3.3 pts
Grand Canyon attack 51.8% · UNLV defense 50.6%
UNLV attack 52.4% · Grand Canyon defense 47.9%
Ball securityAway 0.6 pts
Grand Canyon attack 17.5% · UNLV defense 18.2%
UNLV attack 16.5% · Grand Canyon defense 17.8%
Second chancesAway 0.6 pts
Grand Canyon attack 31.6% · UNLV defense 30.3%
UNLV attack 29.5% · Grand Canyon defense 27.7%
Free-throw pressureHome 1.4 pts
Grand Canyon attack 40.6% · UNLV defense 36.8%
UNLV attack 38.1% · Grand Canyon defense 35.7%
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).

Global Credit Union 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 ↗
ON THE SCHEDULEJan 9, 2027 · TIME TBD

UNLV vs San José St

75.9UNLV
72.3San José St
San José St win estimate44.3%
Model signalToss-up
Projected home margin-3.6
Projected total148.2
80% home-margin range-19.5 to 12.4
Estimated possessions66.8
Why the model tiltsfour-factor edge
Shot qualityHome 1.2 pts
San José St attack 50.9% · UNLV defense 50.6%
UNLV attack 52.4% · San José St defense 53.3%
Ball securityHome 2.1 pts
San José St attack 16.1% · UNLV defense 18.2%
UNLV attack 16.5% · San José St defense 16.6%
Second chancesHome 2.0 pts
San José St attack 29.5% · UNLV defense 30.3%
UNLV attack 29.5% · San José St defense 32.3%
Free-throw pressureAway 11.6 pts
San José St attack 31.4% · UNLV defense 36.8%
UNLV attack 38.1% · 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 →