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

LMU

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

Independent preseason modelNo.160

+0.6 adjusted net
per 100 estimated possessions

15172025–26 recorded finals
105.4Adjusted offense · 2026–27 baseline
104.8Adjusted defense · lower is better
67.8Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on LMU.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

151732 recorded games · 32 paired efficiency samples · pace 68.6Mean opponent adj. net 1.5 · 31 rated opponents
Offense

Effective FG%

52.8%32 games · higher is betterRank 130 / 366 · 65th favorable percentile
Defense

Opponent effective FG%

48.4%32 games · lower is betterRank 59 / 366 · 84th favorable percentile
Offense

Turnover rate

17.2%32 games · lower is betterRank 226 / 366 · 38th favorable percentile
Defense

Turnovers forced

16.9%32 games · higher is betterRank 174 / 366 · 53th favorable percentile
Offense

Offensive rebound rate

27.1%32 games · higher is betterRank 303 / 366 · 17th favorable percentile
Defense

Opponent offensive rebound rate

31.1%32 games · lower is betterRank 242 / 366 · 34th favorable percentile
Offense

Free-throw attempt rate

31.3%32 games · higher is betterRank 270 / 366 · 26th favorable percentile
Defense

Opponent free-throw attempt rate

32.2%32 games · lower is betterRank 120 / 366 · 67th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency107.032Points per 100 estimated possessions.
Defensive efficiency103.832Opponent points per 100 estimated possessions.
Two-point FG%53.1%32(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%47.0%32Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%34.9%323PM / 3PA.
Opponent three-point FG%33.9%32Opponent 3PM / 3PA.
Three-point attempt share40.0%323PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share36.9%32Opponent 3PA / FGA; a style measure.
Free-throw accuracy70.4%32FTM / FTA.
Opponent free-throw accuracy74.9%32Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share49.4%32Assists / FGM; describes recorded ball movement.
Opponent assisted FG share51.0%32Opponent 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 →
1.065
Points / source possession
69.84
Source possessions / game
23.3%
Transition share
18.8%
Assisted share
2.4%
Garbage-time share

2,235 source possession rows across 32 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 effective FG%

48.4% · rank 59 of 366 · 32 games

What coverages and lineups account for the shot quality opponents receive?

A relative strength

Opponent free-throw attempt rate

32.2% · rank 120 of 366 · 32 games

Which defenders can protect the paint without surrendering free throws?

A closer look

Free-throw attempt rate

31.3% · rank 270 of 366 · 32 games

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

A closer look

Offensive rebound rate

27.1% · rank 303 of 366 · 32 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 10 times in the selected window; LMU won 3. 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.50115180OldestNewest

Mar 6, 2026 · neutral vs San Diego · L 62–66 · offense 101.1 / defense 107.6

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 · 32 games
Game / venueResultCurrent opponent rankOff. eff.Def. eff.PaceeFG%TO%ORB%
San DiegoMar 6, 2026 · neutralL 6266263101.1107.661.346.613.032.4
Seattle UMar 1, 2026 · homeL 6671120104.8112.863.056.420.720.0
Washington StFeb 26, 2026 · homeW 676611798.697.168.040.88.827.5
San DiegoFeb 21, 2026 · roadW 7765263124.0104.762.166.717.714.3
PepperdineFeb 14, 2026 · roadL 8990261125.0126.471.259.49.829.4
PacificFeb 12, 2026 · roadL 596520793.7103.263.049.019.113.8
San DiegoFeb 8, 2026 · homeW 8363263131.599.863.159.811.135.7
San FranciscoFeb 5, 2026 · roadW 847589121.8108.869.056.714.529.4
Santa ClaraFeb 1, 2026 · homeL 731044294.1134.177.547.928.425.8
Oregon StJan 29, 2026 · homeL 6972139104.6109.265.952.513.623.5
Seattle UJan 22, 2026 · roadL 596912085.7100.268.852.129.117.9
PortlandJan 18, 2026 · homeL 587125883.4102.169.538.621.623.8
Oregon StJan 15, 2026 · roadL 707613999.6108.170.341.821.332.4
Santa ClaraJan 11, 2026 · roadL 721034293.8134.276.750.020.922.2
San FranciscoJan 9, 2026 · homeW 848289104.9102.464.150.710.015.4
GonzagaJan 5, 2026 · roadL 4782868.1118.869.034.918.822.2
Washington StJan 3, 2026 · roadL 7678117108.8111.769.850.811.518.9
PacificDec 31, 2025 · homeW 8071207114.9102.069.658.214.420.7
Saint Mary'sDec 29, 2025 · homeL 737818123.0131.559.357.110.132.1
Morgan StDec 23, 2025 · homeW 8356351119.180.469.761.118.737.5
North AlabamaDec 20, 2025 · homeW 9157290131.982.669.063.513.037.5
UC San DiegoDec 17, 2025 · homeL 57679780.494.570.947.325.421.1
Saint LouisDec 3, 2025 · homeL 70915590.8118.077.145.318.223.1
Stony BrookNov 29, 2025 · homeL 6871280100.0104.568.044.822.138.7
OhioNov 25, 2025 · neutralW 705818997.380.671.946.022.237.5
FAUNov 25, 2025 · neutralL 657694100.5117.564.746.715.528.9
Santa BarbaraNov 18, 2025 · roadW 7874143105.5100.165.752.518.931.0
TroyNov 15, 2025 · homeW 7463123106.790.869.458.515.918.8
UTEPNov 12, 2025 · roadW 7158230112.692.063.064.430.136.0
AR-Pine BluffNov 9, 2025 · homeW 9472357132.8101.770.862.98.530.6
E WashingtonNov 6, 2025 · homeW 706219999.488.070.450.918.526.5
Lincoln (CA)Nov 4, 2025 · homeW 13754Unrated161.263.585.076.410.647.8
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
Rodney Brown Jr.G3132.414.02.41.756.922.0%311.1331 games22831 games
Myron Amey Jr.G3230.514.83.91.755.324.8%321.2832 games23232 games
Aaron McBrideF3127.27.65.61.060.714.2%310.8131 games4031 games
Jalen ShelleyF2531.213.76.62.754.724.2%251.1925 games8725 games
Jan VideG2728.812.13.04.050.725.8%271.7427 games3127 games
Rick IssanzaC3016.32.63.40.359.79.1%300.4230 games130 games
AJ ThomasG3213.55.21.41.852.023.5%321.4332 games2432 games
Rokas JociusF3212.53.23.00.458.614.0%320.5532 games1632 games
Josh DaltonF2912.93.62.60.557.414.1%291.1529 games5129 games
Nakyel SheltonG279.12.91.00.460.615.3%270.9227 games2627 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 LMU?

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
Guard93,4513,451100%
Forward62,5352,535100%
Center1488488100%

0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (6,474 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%
Rodney Brown Jr.GSame programLoyola Marymount Lions32.414.056.9%
Myron Amey Jr.GSame programLoyola Marymount Lions30.514.855.3%
Aaron McBrideFSame programLoyola Marymount Lions27.27.660.7%
Jalen ShelleyFSame programLoyola Marymount Lions31.213.754.7%
Jan VideGSame programLoyola Marymount Lions28.812.150.7%
Rick IssanzaCSame programLoyola Marymount Lions16.32.659.7%
AJ ThomasGSame programLoyola Marymount Lions13.55.252.0%
Rokas JociusFSame programLoyola Marymount Lions12.53.258.6%
Josh DaltonFSame programLoyola Marymount Lions12.93.657.4%
Nakyel SheltonGSame programLoyola Marymount Lions9.12.960.6%
Jael MartinFSame programLoyola Marymount Lions7.41.962.0%
George TupyFSame programLoyola Marymount Lions2.80.5100.0%

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…

ON THE SCHEDULEDec 9, 2026 · TIME TBD

LMU vs Nevada

64.9LMU
75.3Nevada
Nevada win estimate78.6%
Model signalStrong lean
Projected home margin10.4
Projected total140.2
80% home-margin range-5.5 to 26.3
Estimated possessions66.2
Why the model tiltsfour-factor edge
Shot qualityHome 1.4 pts
Nevada attack 52.1% · LMU defense 49.1%
LMU attack 51.5% · Nevada defense 49.8%
Ball securityAway 0.3 pts
Nevada attack 15.2% · LMU defense 15.5%
LMU attack 16.9% · Nevada defense 17.5%
Second chancesHome 0.0 pts
Nevada attack 29.8% · LMU defense 29.4%
LMU attack 27.3% · Nevada defense 27.0%
Free-throw pressureHome 15.8 pts
Nevada attack 42.3% · LMU defense 32.8%
LMU attack 30.7% · Nevada defense 37.1%
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).

Lawlor Events 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 →