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

UT Rio Grande

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

Independent preseason modelNo.198

-2.7 adjusted net
per 100 estimated possessions

19142025–26 recorded finals
105.5Adjusted offense · 2026–27 baseline
108.2Adjusted defense · lower is better
69.1Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on UT Rio Grande.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

191433 recorded games · 33 paired efficiency samples · pace 66.6Mean opponent adj. net -2.5 · 31 rated opponents
Offense

Effective FG%

55.7%33 games · higher is betterRank 29 / 366 · 92th favorable percentile
Defense

Opponent effective FG%

47.2%33 games · lower is betterRank 31 / 366 · 92th favorable percentile
Offense

Turnover rate

17.9%33 games · lower is betterRank 278 / 366 · 24th favorable percentile
Defense

Turnovers forced

16.5%33 games · higher is betterRank 208 / 366 · 43th favorable percentile
Offense

Offensive rebound rate

29.6%33 games · higher is betterRank 234 / 366 · 36th favorable percentile
Defense

Opponent offensive rebound rate

31.1%33 games · lower is betterRank 244 / 366 · 33th favorable percentile
Offense

Free-throw attempt rate

29.2%33 games · higher is betterRank 324 / 366 · 12th favorable percentile
Defense

Opponent free-throw attempt rate

37.9%33 games · lower is betterRank 276 / 366 · 25th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency112.633Points per 100 estimated possessions.
Defensive efficiency103.133Opponent points per 100 estimated possessions.
Two-point FG%55.2%33(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%48.4%33Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%37.4%333PM / 3PA.
Opponent three-point FG%30.3%33Opponent 3PM / 3PA.
Three-point attempt share44.1%333PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share38.6%33Opponent 3PA / FGA; a style measure.
Free-throw accuracy76.2%33FTM / FTA.
Opponent free-throw accuracy69.3%33Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share61.4%33Assists / FGM; describes recorded ball movement.
Opponent assisted FG share57.8%33Opponent 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 →
1.120
Points / source possession
67.88
Source possessions / game
20.1%
Transition share
24.4%
Assisted share
2.1%
Garbage-time share

2,240 source possession rows across 33 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

Effective FG%

55.7% · rank 29 of 366 · 33 games

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

A relative strength

Opponent effective FG%

47.2% · rank 31 of 366 · 33 games

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

A closer look

Turnover rate

17.9% · rank 278 of 366 · 33 games

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

A closer look

Free-throw attempt rate

29.2% · rank 324 of 366 · 33 games

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

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 7 times in the selected window; UT Rio Grande 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.60115170OldestNewest

Mar 11, 2026 · neutral vs McNeese · L 80–84 · offense 93.8 / defense 98.4

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 · 33 games
Game / venueResultCurrent opponent rankOff. eff.Def. eff.PaceeFG%TO%ORB%
McNeeseMar 11, 2026 · neutralL 80847093.898.462.152.528.122.2
NichollsMar 10, 2026 · neutralW 8668235128.6101.766.969.819.422.7
N'Western StMar 3, 2026 · homeW 7462296114.696.064.656.813.921.2
E Texas A&MFeb 28, 2026 · homeW 6355329109.495.557.650.017.428.1
McNeeseFeb 24, 2026 · roadL 68757098.7108.868.958.024.721.4
SE LouisianaFeb 21, 2026 · roadW 9675281150.4117.563.878.015.721.1
LamarFeb 17, 2026 · homeW 7065232117.1108.859.843.43.332.6
SF AustinFeb 14, 2026 · homeL 576614591.1105.562.644.520.828.6
NichollsFeb 10, 2026 · roadW 9272235133.4104.469.072.123.247.6
New OrleansFeb 7, 2026 · roadW 9576299127.5102.074.557.318.847.2
Hou ChristianFeb 3, 2026 · homeW 7457324119.692.161.951.822.646.9
Incarnate WordJan 31, 2026 · roadW 10693292147.3129.372.072.18.323.1
Texas A&M-CCJan 27, 2026 · roadW 6455174100.586.463.746.920.434.4
Hou ChristianJan 24, 2026 · roadW 6851324111.883.860.960.418.120.0
SE LouisianaJan 20, 2026 · homeW 6865281103.598.965.749.015.225.7
McNeeseJan 17, 2026 · homeW 797670122.5117.964.567.720.224.0
N'Western StJan 13, 2026 · roadL 636429695.396.866.152.821.213.8
E Texas A&MJan 10, 2026 · roadL 6977329105.1117.265.753.618.328.1
Incarnate WordJan 6, 2026 · homeW 8067292123.4103.464.854.915.442.4
Texas A&M-CCJan 3, 2026 · homeL 596317493.8100.162.941.217.525.7
NichollsDec 31, 2025 · homeL 697123599.2102.169.551.827.337.5
New OrleansDec 30, 2025 · homeL 698529998.9121.869.850.022.933.3
Biblical StudDec 20, 2025 · homeW 10951Unrated156.873.469.567.110.148.6
LamarDec 17, 2025 · roadW 8372232118.4102.770.163.815.719.4
UT ArlingtonDec 12, 2025 · homeL 505817986.6100.557.744.719.116.1
Austin PeayDec 7, 2025 · homeW 635021691.172.369.149.128.934.4
SF AustinDec 4, 2025 · roadL 607314587.6106.668.538.711.723.3
IllinoisNov 25, 2025 · roadL 73877104.2124.270.047.85.724.4
Missouri StNov 22, 2025 · roadL 6774186106.0117.163.250.022.240.7
SW AdventistNov 18, 2025 · homeW 11053Unrated158.676.469.465.910.150.0
Boise StNov 12, 2025 · roadL 65855086.0112.475.651.921.212.1
Southern UtahNov 9, 2025 · roadW 9572285129.898.473.260.516.443.6
BaylorNov 4, 2025 · roadL 819633104.2123.577.758.215.46.3
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
Marvin McGhee IIIG3329.610.95.10.963.316.6%331.3233 games18033 games
Koree CottonG3327.113.95.32.559.927.5%331.0133 games13433 games
Jaylen WashingtonG3326.810.22.34.260.419.6%332.8533 games5133 games
Filip BrankovicF3224.013.04.41.961.027.0%321.2732 games10532 games
Julien GomezG3322.57.53.21.562.816.5%331.6533 games8733 games
Zae BlakeG3019.04.82.81.448.716.1%301.6230 games7930 games
Always WrightG3315.22.91.61.945.815.3%331.5033 games3133 games
Dane ChristensenF2713.43.72.50.950.616.1%271.6027 games4827 games
Kwo AgwaF3011.23.61.90.964.315.9%301.6330 games930 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 UT Rio Grande?

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
15Same-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
Guard94,9124,912100%
Forward51,7381,738100%
Center12525100%

0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (6,675 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%
Marvin McGhee IIIGSame programUT Rio Grande Valley Vaqueros29.610.963.3%
Koree CottonGSame programUT Rio Grande Valley Vaqueros27.113.959.9%
Jaylen WashingtonGSame programUT Rio Grande Valley Vaqueros26.810.260.4%
Filip BrankovicFSame programUT Rio Grande Valley Vaqueros24.013.061.0%
Julien GomezGSame programUT Rio Grande Valley Vaqueros22.57.562.8%
Zae BlakeGSame programUT Rio Grande Valley Vaqueros19.04.848.7%
Always WrightGSame programUT Rio Grande Valley Vaqueros15.22.945.8%
Dane ChristensenFSame programUT Rio Grande Valley Vaqueros13.43.750.6%
Kwo AgwaFSame programUT Rio Grande Valley Vaqueros11.23.664.3%
Jalen RicksGSame programUT Rio Grande Valley Vaqueros8.72.845.6%
Marshal DestremauFSame programUT Rio Grande Valley Vaqueros7.72.751.4%
Demarris WintersGSame programUT Rio Grande Valley Vaqueros7.12.461.9%

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 15, 2026 · TIME TBD

UT Rio Grande vs Dayton

65.5UT Rio Grande
78.5Dayton
Dayton win estimate82.9%
Model signalStrong lean
Projected home margin12.9
Projected total144.0
80% home-margin range-3.0 to 28.9
Estimated possessions67.8
Why the model tiltsfour-factor edge
Shot qualityHome 0.7 pts
Dayton attack 53.6% · UT Rio Grande defense 51.0%
UT Rio Grande attack 51.6% · Dayton defense 49.7%
Ball securityAway 0.1 pts
Dayton attack 16.5% · UT Rio Grande defense 16.8%
UT Rio Grande attack 18.1% · Dayton defense 18.5%
Second chancesAway 2.8 pts
Dayton attack 28.3% · UT Rio Grande defense 31.4%
UT Rio Grande attack 27.7% · Dayton defense 28.0%
Free-throw pressureHome 7.8 pts
Dayton attack 41.7% · UT Rio Grande defense 35.8%
UT Rio Grande attack 30.5% · Dayton defense 32.4%
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).

UD 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 →