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

McNeese

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

Independent preseason modelNo.70

+10.2 adjusted net
per 100 estimated possessions

2862025–26 recorded finals
112.5Adjusted offense · 2026–27 baseline
102.3Adjusted defense · lower is better
66.9Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on McNeese.

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 67.2Mean opponent adj. net -2.9 · 32 rated opponents
Offense

Effective FG%

52.0%34 games · higher is betterRank 176 / 366 · 52th favorable percentile
Defense

Opponent effective FG%

48.7%34 games · lower is betterRank 65 / 366 · 82th favorable percentile
Offense

Turnover rate

14.0%34 games · lower is betterRank 26 / 366 · 93th favorable percentile
Defense

Turnovers forced

24.8%34 games · higher is betterRank 1 / 366 · 100th favorable percentile
Offense

Offensive rebound rate

36.4%34 games · higher is betterRank 26 / 366 · 93th favorable percentile
Defense

Opponent offensive rebound rate

34.1%34 games · lower is betterRank 335 / 366 · 8th favorable percentile
Offense

Free-throw attempt rate

37.2%34 games · higher is betterRank 112 / 366 · 70th favorable percentile
Defense

Opponent free-throw attempt rate

40.2%34 games · lower is betterRank 314 / 366 · 14th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency117.334Points per 100 estimated possessions.
Defensive efficiency98.334Opponent points per 100 estimated possessions.
Two-point FG%54.1%34(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%48.7%34Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%32.0%343PM / 3PA.
Opponent three-point FG%32.5%34Opponent 3PM / 3PA.
Three-point attempt share34.8%343PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share47.7%34Opponent 3PA / FGA; a style measure.
Free-throw accuracy75.0%34FTM / FTA.
Opponent free-throw accuracy72.8%34Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share50.2%34Assists / FGM; describes recorded ball movement.
Opponent assisted FG share56.4%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 →
1.162
Points / source possession
68.44
Source possessions / game
25.8%
Transition share
20.5%
Assisted share
4.6%
Garbage-time share

2,327 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

Turnovers forced

24.8% · rank 1 of 366 · 34 games

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

A relative strength

Turnover rate

14.0% · rank 26 of 366 · 34 games

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

A closer look

Opponent free-throw attempt rate

40.2% · rank 314 of 366 · 34 games

Which defenders can protect the paint without surrendering free throws?

A closer look

Opponent offensive rebound rate

34.1% · rank 335 of 366 · 34 games

Which matchups demand an extra box-out assignment?

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 8 times in the selected window; McNeese 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.50120190OldestNewest

Mar 19, 2026 · neutral vs Vanderbilt · L 68–78 · offense 106.4 / defense 122.1

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%
VanderbiltMar 19, 2026 · neutralL 687829106.4122.163.942.89.436.4
SF AustinMar 11, 2026 · neutralW 7659145119.092.463.960.220.437.0
UT Rio GrandeMar 11, 2026 · neutralW 848019898.493.862.142.511.733.9
NichollsMar 3, 2026 · roadW 7565235111.596.667.347.213.425.0
New OrleansFeb 28, 2026 · roadW 6663299102.197.564.645.610.828.9
UT Rio GrandeFeb 24, 2026 · homeW 7568198108.898.768.946.614.532.5
Texas A&M-CCFeb 22, 2026 · homeW 7054174106.782.365.647.415.232.4
N'Western StFeb 17, 2026 · roadW 7564296118.2100.963.548.57.936.4
E Texas A&MFeb 14, 2026 · roadW 9754329142.479.368.165.25.928.1
Hou ChristianFeb 10, 2026 · homeW 7369324108.1102.167.656.516.322.2
Incarnate WordFeb 7, 2026 · homeW 8164292130.5103.162.162.29.728.6
SF AustinFeb 3, 2026 · roadL 606714585.795.670.139.322.836.4
LamarFeb 1, 2026 · roadW 6463232111.6109.857.443.512.234.3
SE LouisianaJan 28, 2026 · roadW 7666281114.499.366.456.118.129.0
New OrleansJan 24, 2026 · homeW 8263299117.990.669.645.214.447.5
Texas A&M-CCJan 19, 2026 · roadW 6953174117.290.058.952.018.750.0
UT Rio GrandeJan 17, 2026 · roadL 7679198117.9122.564.543.710.941.0
NichollsJan 13, 2026 · homeW 9468235126.191.274.660.514.826.7
SE LouisianaJan 10, 2026 · homeW 7361281116.497.362.753.415.940.6
SF AustinJan 6, 2026 · homeW 6664145108.6105.360.846.011.539.5
LamarJan 3, 2026 · homeW 8270232135.8116.060.454.213.345.2
MichiganDec 30, 2025 · roadL 71112685.1134.383.434.610.829.3
Hou ChristianDec 16, 2025 · roadW 7868324129.6113.060.265.713.330.4
E Texas A&MDec 13, 2025 · homeW 10266329129.183.579.065.920.341.4
Rhode IslandDec 10, 2025 · roadW 666415896.593.568.445.016.130.8
N'Western StDec 6, 2025 · homeW 9254296137.580.766.962.514.950.0
Incarnate WordDec 2, 2025 · roadL 6771292102.3108.465.552.919.828.0
MTSUNov 25, 2025 · neutralW 7262164126.8109.256.842.210.651.4
Murray StNov 25, 2025 · neutralW 736013098.480.974.245.010.828.3
G WashingtonNov 23, 2025 · neutralW 9286110124.7116.673.851.510.839.5
LouisianaNov 15, 2025 · homeW 8862297131.992.966.764.416.532.0
Biblical StudNov 11, 2025 · homeW 13250Unrated171.364.977.180.015.675.0
Santa ClaraNov 8, 2025 · roadL 67794299.4117.267.449.020.829.0
Champ ChrstnNov 4, 2025 · homeW 12765Unrated150.777.184.358.08.353.3
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
Garwey DualG3426.68.42.94.454.817.6%342.6434 games7634 games
Javohn GarciaG3029.711.93.11.656.918.9%302.7230 games10730 games
Tyshawn ArchieG3425.614.31.92.954.528.8%341.9234 games17634 games
Larry JohnsonG3425.417.45.51.457.132.6%341.3134 games10534 games
DJ Richards Jr.G3422.08.32.10.756.018.8%340.8234 games17034 games
Jerrell ColbertF3419.85.64.10.556.315.5%340.4934 games534 games
Jacolb Fredson-ColeF3418.75.54.11.450.616.9%341.5034 games3734 games
Carl CherenfantG3316.34.13.00.955.613.8%331.0733 games2833 games
Peitok MacharF3412.53.53.10.167.611.4%340.3334 games234 games
Yanis NdjongaF2710.72.53.50.168.49.9%270.3827 games627 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 McNeese?

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 →