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

New Mexico

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

Independent preseason modelNo.40

+15.7 adjusted net
per 100 estimated possessions

26112025–26 recorded finals
114.1Adjusted offense · 2026–27 baseline
98.4Adjusted defense · lower is better
71.5Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on New Mexico.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

261137 recorded games · 37 paired efficiency samples · pace 70.7Mean opponent adj. net 5.0 · 36 rated opponents
Offense

Effective FG%

53.6%37 games · higher is betterRank 91 / 366 · 75th favorable percentile
Defense

Opponent effective FG%

49.1%37 games · lower is betterRank 84 / 366 · 77th favorable percentile
Offense

Turnover rate

14.8%37 games · lower is betterRank 58 / 366 · 84th favorable percentile
Defense

Turnovers forced

19.2%37 games · higher is betterRank 60 / 366 · 84th favorable percentile
Offense

Offensive rebound rate

30.8%37 games · higher is betterRank 196 / 366 · 46th favorable percentile
Defense

Opponent offensive rebound rate

27.4%37 games · lower is betterRank 64 / 366 · 83th favorable percentile
Offense

Free-throw attempt rate

35.9%37 games · higher is betterRank 158 / 366 · 57th favorable percentile
Defense

Opponent free-throw attempt rate

33.4%37 games · lower is betterRank 155 / 366 · 58th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency114.837Points per 100 estimated possessions.
Defensive efficiency100.237Opponent points per 100 estimated possessions.
Two-point FG%53.7%37(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%52.6%37Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%35.8%373PM / 3PA.
Opponent three-point FG%30.2%37Opponent 3PM / 3PA.
Three-point attempt share42.9%373PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share47.8%37Opponent 3PA / FGA; a style measure.
Free-throw accuracy73.0%37FTM / FTA.
Opponent free-throw accuracy73.1%37Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share53.8%37Assists / FGM; describes recorded ball movement.
Opponent assisted FG share54.9%37Opponent 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 →
1.146
Points / source possession
70.89
Source possessions / game
24.6%
Transition share
21.2%
Assisted share
1.8%
Garbage-time share

2,623 source possession rows across 37 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

14.8% · rank 58 of 366 · 37 games

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

A relative strength

Turnovers forced

19.2% · rank 60 of 366 · 37 games

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

A closer look

Free-throw attempt rate

35.9% · rank 158 of 366 · 37 games

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

A closer look

Offensive rebound rate

30.8% · rank 196 of 366 · 37 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 9 times in the selected window; New Mexico won 4. 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.50105160OldestNewest

Apr 2, 2026 · neutral vs Tulsa · L 69–74 · offense 97.1 / defense 104.2

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 · 37 games
Game / venueResultCurrent opponent rankOff. eff.Def. eff.PaceeFG%TO%ORB%
TulsaApr 2, 2026 · neutralL 697411697.1104.271.140.414.133.3
Saint Joseph'sMar 25, 2026 · homeW 8469108113.993.573.852.513.621.9
G WashingtonMar 23, 2026 · homeW 8661110125.889.268.456.213.238.5
Sam HoustonMar 19, 2026 · homeW 10783127140.7109.276.061.56.635.1
San Diego StMar 14, 2026 · neutralL 62644393.796.866.138.516.639.2
San José StMar 13, 2026 · neutralW 9377226135.2111.968.864.616.046.4
Utah StateMar 7, 2026 · roadL 909430130.0135.869.258.211.641.2
Colorado StMar 5, 2026 · homeL 748267101.9112.972.650.816.528.6
San Diego StFeb 28, 2026 · homeW 817643115.3108.170.345.98.532.6
NevadaFeb 25, 2026 · roadL 60675984.994.770.743.618.417.5
Fresno StFeb 22, 2026 · roadW 8078188119.0116.067.257.513.426.7
Air ForceFeb 18, 2026 · homeW 9861347138.686.370.766.915.645.5
Grand CanyonFeb 12, 2026 · roadW 706465102.193.468.655.920.420.0
Boise StFeb 8, 2026 · homeL 909150133.5135.067.460.57.433.3
Utah StateFeb 5, 2026 · homeL 66863090.6118.172.944.120.620.6
San José StFeb 1, 2026 · roadW 9080226141.1125.563.863.99.428.0
UNLVJan 28, 2026 · roadW 8961111119.081.574.858.513.429.4
NevadaJan 25, 2026 · homeW 807359113.6103.770.448.412.830.2
Fresno StJan 22, 2026 · homeW 8374188105.494.078.749.312.728.3
San Diego StJan 18, 2026 · roadL 798343101.1106.378.152.521.823.7
Grand CanyonJan 14, 2026 · homeW 876465118.887.473.260.015.022.2
Air ForceJan 10, 2026 · roadW 9149347132.271.268.858.213.138.9
Colorado StJan 7, 2026 · roadW 807067122.0106.765.663.215.231.0
WyomingJan 4, 2026 · homeW 7858132128.095.260.953.914.848.6
Boise StDec 31, 2025 · roadL 53625075.588.370.233.111.418.4
San José StDec 21, 2025 · homeW 8865226129.195.468.267.614.716.0
FGCUDec 14, 2025 · homeW 7559219109.986.568.242.519.144.4
VCUDec 11, 2025 · roadW 817839115.9111.669.957.420.031.0
Santa ClaraDec 7, 2025 · homeW 987142137.099.271.667.516.834.6
NM HighlandsDec 2, 2025 · homeW 9747Unrated132.164.073.457.512.335.7
Alabama StNov 27, 2025 · homeW 9387322127.8119.572.861.115.133.3
Mississippi StNov 22, 2025 · neutralW 807864110.3107.572.548.413.831.7
NebraskaNov 21, 2025 · neutralL 72842488.8103.681.148.519.719.5
New Mexico StNov 16, 2025 · roadL 6876169103.5115.765.749.119.828.1
UC RiversideNov 12, 2025 · homeW 8268241123.1102.166.656.37.525.7
UT ArlingtonNov 8, 2025 · homeW 7456179102.677.772.145.616.627.3
E Texas A&MNov 6, 2025 · homeW 765432998.670.177.149.219.530.0
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
Jake HallG3731.016.43.21.664.121.8%371.5437 games26737 games
Luke HauptG3728.17.84.53.154.614.9%372.2237 games5437 games
Uriah TenetteG3627.510.62.82.953.919.2%363.0636 games13636 games
Tomislav BuljanF3526.013.110.31.557.025.1%350.8035 games2635 games
Antonio CholF3724.27.72.90.850.716.7%371.1637 games18637 games
Deyton AlburyG3524.811.73.73.061.323.3%351.3235 games5335 games
Tajavis MillerG3216.75.62.11.052.117.3%321.7832 games10532 games
JT RockC3712.86.23.50.462.821.3%370.6737 games5837 games
Chris HowellG1124.55.53.03.452.314.0%111.8511 games1811 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 New Mexico?

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
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
Guard105,0085,008100%
Forward31,9191,919100%
Center1473473100%

0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (7,400 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%
Jake HallGSame programNew Mexico Lobos31.016.464.1%
Luke HauptGSame programNew Mexico Lobos28.17.854.6%
Uriah TenetteGSame programNew Mexico Lobos27.510.653.9%
Tomislav BuljanFSame programNew Mexico Lobos26.013.157.0%
Antonio CholFSame programNew Mexico Lobos24.27.750.7%
Deyton AlburyGSame programNew Mexico Lobos24.811.761.3%
Tajavis MillerGSame programNew Mexico Lobos16.75.652.1%
JT RockCSame programNew Mexico Lobos12.86.262.8%
Chris HowellGSame programNew Mexico Lobos24.55.552.3%
Milos VicenticFSame programNew Mexico Lobos7.13.146.5%
Kevin Patton Jr.GSame programNew Mexico Lobos9.72.642.1%
Timéo PonsGSame programNew Mexico Lobos5.42.650.3%

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 SCHEDULEJan 2, 2027 · TIME TBD

New Mexico vs UTEP

78.4New Mexico
67.3UTEP
UTEP win estimate26.0%
Model signalLean
Projected home margin-11.1
Projected total145.7
80% home-margin range-27.0 to 4.9
Estimated possessions71.0
Why the model tiltsfour-factor edge
Shot qualityAway 0.5 pts
UTEP attack 49.4% · New Mexico defense 49.1%
New Mexico attack 52.7% · UTEP defense 51.9%
Ball securityAway 4.6 pts
UTEP attack 18.1% · New Mexico defense 19.0%
New Mexico attack 15.1% · UTEP defense 20.5%
Second chancesHome 0.8 pts
UTEP attack 27.6% · New Mexico defense 27.1%
New Mexico attack 31.2% · UTEP defense 31.4%
Free-throw pressureHome 7.1 pts
UTEP attack 35.6% · New Mexico defense 33.5%
New Mexico attack 36.2% · UTEP defense 41.2%
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).

Don Haskins 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 ↗
ON THE SCHEDULEJan 5, 2027 · TIME TBD

Nevada vs New Mexico

71.6Nevada
78.1New Mexico
New Mexico win estimate70.4%
Model signalLean
Projected home margin6.4
Projected total149.7
80% home-margin range-9.5 to 22.4
Estimated possessions69.9
Why the model tiltsfour-factor edge
Shot qualityAway 0.1 pts
New Mexico attack 52.7% · Nevada defense 49.8%
Nevada attack 52.1% · New Mexico defense 49.1%
Ball securityAway 1.3 pts
New Mexico attack 15.1% · Nevada defense 17.5%
Nevada attack 15.2% · New Mexico defense 19.0%
Second chancesHome 1.5 pts
New Mexico attack 31.2% · Nevada defense 27.0%
Nevada attack 29.8% · New Mexico defense 27.1%
Free-throw pressureAway 9.6 pts
New Mexico attack 36.2% · Nevada defense 37.1%
Nevada attack 42.3% · New Mexico defense 33.5%
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).

The Pit
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 19, 2027 · TIME TBD

San José St vs New Mexico

67.4San José St
84.8New Mexico
New Mexico win estimate88.9%
Model signalStrong lean
Projected home margin17.5
Projected total152.2
80% home-margin range1.6 to 33.4
Estimated possessions69.5
Why the model tiltsfour-factor edge
Shot qualityAway 2.4 pts
New Mexico attack 52.7% · San José St defense 53.3%
San José St attack 50.9% · New Mexico defense 49.1%
Ball securityAway 1.4 pts
New Mexico attack 15.1% · San José St defense 16.6%
San José St attack 16.1% · New Mexico defense 19.0%
Second chancesAway 3.5 pts
New Mexico attack 31.2% · San José St defense 32.3%
San José St attack 29.5% · New Mexico defense 27.1%
Free-throw pressureHome 6.4 pts
New Mexico attack 36.2% · San José St defense 31.9%
San José St attack 31.4% · New Mexico defense 33.5%
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).

The Pit
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 →