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

Richmond

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

Independent preseason modelNo.162

+0.6 adjusted net
per 100 estimated possessions

15172025–26 recorded finals
107.5Adjusted offense · 2026–27 baseline
106.9Adjusted defense · lower is better
67.5Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on Richmond.

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 0.6 · 31 rated opponents
Offense

Effective FG%

52.5%32 games · higher is betterRank 149 / 366 · 59th favorable percentile
Defense

Opponent effective FG%

51.6%32 games · lower is betterRank 223 / 366 · 39th favorable percentile
Offense

Turnover rate

14.1%32 games · lower is betterRank 30 / 366 · 92th favorable percentile
Defense

Turnovers forced

17.9%32 games · higher is betterRank 109 / 366 · 70th favorable percentile
Offense

Offensive rebound rate

25.3%32 games · higher is betterRank 346 / 366 · 5th favorable percentile
Defense

Opponent offensive rebound rate

30.4%32 games · lower is betterRank 204 / 366 · 44th favorable percentile
Offense

Free-throw attempt rate

36.7%32 games · higher is betterRank 128 / 366 · 65th favorable percentile
Defense

Opponent free-throw attempt rate

35.8%32 games · lower is betterRank 225 / 366 · 39th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency111.332Points per 100 estimated possessions.
Defensive efficiency107.332Opponent points per 100 estimated possessions.
Two-point FG%51.0%32(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%54.2%32Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%36.4%323PM / 3PA.
Opponent three-point FG%32.4%32Opponent 3PM / 3PA.
Three-point attempt share42.8%323PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share45.8%32Opponent 3PA / FGA; a style measure.
Free-throw accuracy75.3%32FTM / FTA.
Opponent free-throw accuracy71.5%32Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share54.7%32Assists / FGM; describes recorded ball movement.
Opponent assisted FG share47.9%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 →
1.113
Points / source possession
69.09
Source possessions / game
18.7%
Transition share
20.5%
Assisted share
2.8%
Garbage-time share

2,211 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

Turnover rate

14.1% · rank 30 of 366 · 32 games

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

A relative strength

Turnovers forced

17.9% · rank 109 of 366 · 32 games

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

A closer look

Opponent free-throw attempt rate

35.8% · rank 225 of 366 · 32 games

Which defenders can protect the paint without surrendering free throws?

A closer look

Offensive rebound rate

25.3% · rank 346 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 13 times in the selected window; Richmond 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 Loyola Chicago · L 67–75 · offense 107.2 / defense 120.0

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%
Loyola ChicagoMar 11, 2026 · neutralL 6775202107.2120.062.546.68.021.1
DuquesneMar 7, 2026 · roadL 7779129116.8119.965.976.624.315.0
DaytonMar 4, 2026 · homeL 60655897.0105.161.841.79.728.2
Loyola ChicagoFeb 28, 2026 · roadL 666920291.795.972.036.86.910.5
St BonaventureFeb 21, 2026 · homeW 9994125134.8128.073.468.412.321.4
DavidsonFeb 19, 2026 · roadL 636512198.8101.963.847.46.313.5
VCUFeb 14, 2026 · homeL 67783995.9111.669.939.111.416.2
George MasonFeb 11, 2026 · homeW 827090116.999.870.157.914.318.8
Rhode IslandFeb 7, 2026 · roadL 7782158113.2120.568.056.117.622.6
DavidsonJan 31, 2026 · homeL 547912193.5136.857.843.017.329.0
VCUJan 28, 2026 · roadL 697739113.6126.860.751.814.837.5
G WashingtonJan 24, 2026 · roadL 6985110103.2127.166.945.116.432.4
Rhode IslandJan 22, 2026 · homeL 686915899.0100.568.754.818.920.0
Saint LouisJan 17, 2026 · roadL 63885590.7126.769.439.014.420.9
La SalleJan 15, 2026 · homeW 7453242112.280.366.056.19.116.1
Saint Joseph'sJan 11, 2026 · homeL 656710893.296.169.742.210.019.5
St BonaventureJan 8, 2026 · roadW 8980125127.7114.869.760.014.332.3
FordhamJan 4, 2026 · roadW 8375187131.8119.163.060.56.421.9
G WashingtonDec 31, 2025 · homeL 8599110129.7151.065.659.612.233.3
Charleston SoDec 28, 2025 · homeL 727727899.5106.472.439.812.424.4
The CitadelDec 20, 2025 · homeW 8056355123.786.664.759.812.428.1
ElonDec 18, 2025 · roadL 7073237105.8110.366.256.630.239.3
S IllinoisDec 13, 2025 · homeW 9384124106.596.277.657.914.95.7
Old DominionDec 6, 2025 · homeW 8677254114.1102.175.451.59.328.2
BelmontDec 4, 2025 · roadW 847686113.8103.073.861.816.310.0
CharlotteNov 28, 2025 · neutralW 7166181107.9100.365.853.116.729.0
FurmanNov 27, 2025 · neutralL 7273146104.3105.869.048.324.638.9
Gardner-WebbNov 23, 2025 · homeW 10267349136.289.574.961.012.039.5
VMINov 20, 2025 · homeW 8754363131.781.766.166.115.131.0
William & MaryNov 12, 2025 · homeW 9086195116.4111.377.343.019.444.9
East CarolinaNov 8, 2025 · homeW 8772222117.797.473.958.014.914.8
S VirginiaNov 6, 2025 · homeW 8456Unrated114.976.673.147.98.233.3
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
Will JohnstonG3227.59.73.02.254.018.7%322.5432 games15532 games
AJ LopezG3225.813.42.21.261.323.8%321.3832 games10432 games
Aiden ArgabrightG3123.510.82.02.060.321.6%312.6331 games8031 games
Mike WalzC3221.27.96.42.358.220.2%321.5232 games7832 games
Mikkel TyneG3119.06.21.21.452.718.6%311.4731 games10931 games
Collin TannerG2918.65.93.20.853.017.2%291.2929 games6529 games
Jaden DaughtryF3115.78.93.00.658.529.6%310.4431 games5331 games
David ThomasG3114.14.21.10.556.615.4%311.0031 games5731 games
Apostolos RoumoglouF2715.42.93.31.143.912.0%273.1027 games6227 games
Jonathan BeagleF2414.96.04.61.557.121.5%241.4824 games224 games
Jaylen RobinsonF3110.32.71.50.955.714.5%311.9331 games531 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 Richmond?

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
13Same-program prior records
0Different-program records
86%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
Guard83,2733,273100%
Forward51,5941,594100%
Center2679679100%

0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (5,546 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%
AJ LopezGSame programRichmond Spiders25.813.461.3%
Aiden ArgabrightGSame programRichmond Spiders23.510.860.3%
Mike WalzCSame programRichmond Spiders21.27.958.2%
Mikkel TyneGSame programRichmond Spiders19.06.252.7%
Collin TannerGSame programRichmond Spiders18.65.953.0%
Jaden DaughtryFSame programRichmond Spiders15.78.958.5%
David ThomasGSame programRichmond Spiders14.14.256.6%
Apostolos RoumoglouFSame programRichmond Spiders15.42.943.9%
Jonathan BeagleFSame programRichmond Spiders14.96.057.1%
Jaylen RobinsonFSame programRichmond Spiders10.32.755.7%
Will Harper IIIGSame programRichmond Spiders11.23.648.9%
Bryson McGlothinFSame programRichmond Spiders4.31.333.6%

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 SCHEDULENov 2, 2026 · TIME TBD

UNC Asheville vs Richmond

68.9UNC Asheville
74.8Richmond
Richmond win estimate69.2%
Model signalLean
Projected home margin5.9
Projected total143.6
80% home-margin range-10.0 to 21.8
Estimated possessions66.8
Why the model tiltsfour-factor edge
Shot qualityAway 0.3 pts
Richmond attack 51.8% · UNC Asheville defense 51.6%
UNC Asheville attack 51.3% · Richmond defense 50.9%
Ball securityHome 1.8 pts
Richmond attack 15.2% · UNC Asheville defense 16.7%
UNC Asheville attack 17.0% · Richmond defense 16.7%
Second chancesAway 8.1 pts
Richmond attack 22.9% · UNC Asheville defense 30.9%
UNC Asheville attack 28.8% · Richmond defense 28.8%
Free-throw pressureAway 5.5 pts
Richmond attack 34.2% · UNC Asheville defense 35.6%
UNC Asheville attack 37.8% · Richmond defense 33.7%
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).

Robins 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 ↗
NEUTRAL FLOORNov 8, 2026 · TIME TBD

Richmond vs Temple

71.8Richmond
72.6Temple
Temple win estimate56.1%
Model signalToss-up
Projected home margin0.8
Projected total144.4
80% home-margin range-15.2 to 16.7
Estimated possessions66.5
Why the model tiltsfour-factor edge
Shot qualityAway 1.5 pts
Temple attack 50.1% · Richmond defense 50.9%
Richmond attack 51.8% · Temple defense 51.0%
Ball securityHome 0.5 pts
Temple attack 15.3% · Richmond defense 16.7%
Richmond attack 15.2% · Temple defense 16.2%
Second chancesHome 6.8 pts
Temple attack 29.2% · Richmond defense 28.8%
Richmond attack 22.9% · Temple defense 29.3%
Free-throw pressureHome 7.9 pts
Temple attack 40.1% · Richmond defense 33.7%
Richmond attack 34.2% · Temple defense 35.7%
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).

Liacouras 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 SCHEDULENov 12, 2026 · TIME TBD

Richmond vs S Illinois

67.5Richmond
72.9S Illinois
S Illinois win estimate68.1%
Model signalLean
Projected home margin5.4
Projected total140.4
80% home-margin range-10.5 to 21.4
Estimated possessions67.8
Why the model tiltsfour-factor edge
Shot qualityAway 2.0 pts
S Illinois attack 51.1% · Richmond defense 50.9%
Richmond attack 51.8% · S Illinois defense 49.6%
Ball securityAway 3.2 pts
S Illinois attack 17.5% · Richmond defense 16.7%
Richmond attack 15.2% · S Illinois defense 17.5%
Second chancesHome 6.0 pts
S Illinois attack 29.5% · Richmond defense 28.8%
Richmond attack 22.9% · S Illinois defense 28.1%
Free-throw pressureAway 0.1 pts
S Illinois attack 34.3% · Richmond defense 33.7%
Richmond attack 34.2% · S Illinois 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).

Banterra 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 →