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

SF Austin

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

Independent preseason modelNo.145

+1.5 adjusted net
per 100 estimated possessions

2862025–26 recorded finals
105.2Adjusted offense · 2026–27 baseline
103.6Adjusted defense · lower is better
67.7Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on SF Austin.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

28634 recorded games · 34 paired efficiency samples · pace 66.8Mean opponent adj. net -4.9 · 32 rated opponents
Offense

Effective FG%

52.1%34 games · higher is betterRank 164 / 366 · 55th favorable percentile
Defense

Opponent effective FG%

47.5%34 games · lower is betterRank 39 / 366 · 90th favorable percentile
Offense

Turnover rate

13.9%34 games · lower is betterRank 21 / 366 · 95th favorable percentile
Defense

Turnovers forced

17.7%34 games · higher is betterRank 123 / 366 · 67th favorable percentile
Offense

Offensive rebound rate

34.7%34 games · higher is betterRank 63 / 366 · 83th favorable percentile
Defense

Opponent offensive rebound rate

28.9%34 games · lower is betterRank 128 / 366 · 65th favorable percentile
Offense

Free-throw attempt rate

29.2%34 games · higher is betterRank 323 / 366 · 12th favorable percentile
Defense

Opponent free-throw attempt rate

30.7%34 games · lower is betterRank 88 / 366 · 76th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency114.334Points per 100 estimated possessions.
Defensive efficiency99.434Opponent points per 100 estimated possessions.
Two-point FG%50.8%34(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%48.9%34Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%36.1%343PM / 3PA.
Opponent three-point FG%29.9%34Opponent 3PM / 3PA.
Three-point attempt share39.9%343PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share35.3%34Opponent 3PA / FGA; a style measure.
Free-throw accuracy68.0%34FTM / FTA.
Opponent free-throw accuracy72.6%34Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share49.2%34Assists / FGM; describes recorded ball movement.
Opponent assisted FG share46.4%34Opponent 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 →
1.139
Points / source possession
67.15
Source possessions / game
21.3%
Transition share
20.3%
Assisted share
2.8%
Garbage-time share

2,283 source possession rows across 34 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

13.9% · rank 21 of 366 · 34 games

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

A relative strength

Opponent effective FG%

47.5% · rank 39 of 366 · 34 games

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

A closer look

Effective FG%

52.1% · rank 164 of 366 · 34 games

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

A closer look

Free-throw attempt rate

29.2% · rank 323 of 366 · 34 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 11 times in the selected window; SF Austin 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.50105160OldestNewest

Mar 18, 2026 · road vs Tulsa · L 84–89 · offense 107.0 / defense 113.3

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 · 34 games
Game / venueResultCurrent opponent rankOff. eff.Def. eff.PaceeFG%TO%ORB%
TulsaMar 18, 2026 · roadL 8489116107.0113.369.852.917.831.7
McNeeseMar 11, 2026 · neutralL 59767092.4119.063.942.218.820.6
Texas A&M-CCMar 10, 2026 · neutralW 605817498.094.761.348.29.816.7
Incarnate WordMar 3, 2026 · roadW 7668292126.2113.060.258.913.334.4
Hou ChristianFeb 28, 2026 · roadW 7756324122.989.462.755.914.437.5
New OrleansFeb 24, 2026 · homeL 7377299107.5113.467.938.47.441.9
NichollsFeb 21, 2026 · homeW 8178235122.0117.566.458.515.136.4
Texas A&M-CCFeb 17, 2026 · roadW 7868174116.4101.567.051.79.027.0
UT Rio GrandeFeb 14, 2026 · roadW 6657198105.591.162.641.112.843.2
E Texas A&MFeb 10, 2026 · homeW 7470329110.7104.766.850.015.036.1
LamarFeb 7, 2026 · homeW 8474232123.4108.768.161.111.819.2
McNeeseFeb 3, 2026 · homeW 67607095.685.770.144.717.136.7
SE LouisianaJan 31, 2026 · homeW 8558281140.195.660.769.614.837.5
N'Western StJan 27, 2026 · homeW 696729696.793.971.447.514.023.7
LamarJan 24, 2026 · roadW 8881232131.2120.867.164.08.920.0
NichollsJan 20, 2026 · roadW 7962235120.194.265.855.319.843.8
New OrleansJan 17, 2026 · roadW 8479299123.1115.868.250.87.338.9
Incarnate WordJan 13, 2026 · homeW 564629283.868.966.836.116.534.9
Hou ChristianJan 10, 2026 · homeW 8567324136.2107.462.455.19.648.6
McNeeseJan 6, 2026 · roadL 646670105.3108.660.851.724.738.9
SE LouisianaJan 3, 2026 · roadW 7363281109.694.666.646.818.042.1
N'Western StDec 31, 2025 · roadW 7464296112.797.465.751.713.734.3
E Texas A&MDec 30, 2025 · roadW 7548329115.674.064.950.013.938.5
DallasDec 21, 2025 · homeW 10355Unrated140.975.273.159.59.648.8
Texas A&M-CCDec 18, 2025 · homeW 6960174107.993.864.052.217.227.8
UL MonroeDec 7, 2025 · homeW 9676358131.9104.472.863.811.032.4
UT Rio GrandeDec 4, 2025 · homeW 7360198106.687.668.545.210.226.8
UT ArlingtonNov 29, 2025 · roadL 616617998.6106.761.845.116.234.3
PepperdineNov 22, 2025 · roadW 636026193.989.567.145.614.931.3
Fresno StNov 19, 2025 · roadL 7880188114.8117.867.951.417.745.2
Abilene ChrstnNov 15, 2025 · homeW 7666248113.198.267.257.511.917.1
RiceNov 12, 2025 · roadW 8169224119.9102.267.558.214.822.6
Arkansas StNov 8, 2025 · homeW 9065126121.988.073.957.119.048.7
MillsapsNov 3, 2025 · homeW 10376Unrated130.296.179.154.98.845.7
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
Keon ThompsonG3429.818.54.84.456.332.4%341.6934 games8434 games
Chrishawn ChristmasG3429.16.36.81.852.811.7%342.3034 games234 games
Lateef PatrickG3428.515.23.11.751.628.8%341.2034 games21334 games
Jerald ColonelF3425.15.07.31.351.811.0%341.9134 games134 games
Narit ChotikavanicG3422.59.62.80.657.319.7%341.5034 games22134 games
Kam BurtonG3418.67.91.80.361.018.9%340.5334 games17934 games
Ahamed MohammedG3415.84.41.71.547.817.0%341.9234 games6334 games
Gediminas AlisasF3414.04.92.41.264.216.6%341.6234 games134 games
Marcus ScurryG287.33.10.50.452.622.2%281.0028 games4528 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 SF Austin?

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.

0Source-listed players
0Same-program prior records
0Different-program records
Prior minutes represented

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 →

No source-listed roster rows were observed for this program in the current release.

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…

No upcoming games for this program in the partial schedule.

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 →