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

Virginia Tech

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

Independent preseason modelNo.79

+9.5 adjusted net
per 100 estimated possessions

19132025–26 recorded finals
113.0Adjusted offense · 2026–27 baseline
103.5Adjusted defense · lower is better
67.7Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on Virginia Tech.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

191332 recorded games · 32 paired efficiency samples · pace 68.0Mean opponent adj. net 8.5 · 32 rated opponents
Offense

Effective FG%

52.2%32 games · higher is betterRank 161 / 366 · 56th favorable percentile
Defense

Opponent effective FG%

50.8%32 games · lower is betterRank 175 / 366 · 52th favorable percentile
Offense

Turnover rate

14.9%32 games · lower is betterRank 65 / 366 · 82th favorable percentile
Defense

Turnovers forced

17.2%32 games · higher is betterRank 151 / 366 · 59th favorable percentile
Offense

Offensive rebound rate

31.9%32 games · higher is betterRank 153 / 366 · 58th favorable percentile
Defense

Opponent offensive rebound rate

32.6%32 games · lower is betterRank 299 / 366 · 18th favorable percentile
Offense

Free-throw attempt rate

34.0%32 games · higher is betterRank 209 / 366 · 43th favorable percentile
Defense

Opponent free-throw attempt rate

28.8%32 games · lower is betterRank 52 / 366 · 86th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency112.832Points per 100 estimated possessions.
Defensive efficiency107.232Opponent points per 100 estimated possessions.
Two-point FG%51.5%32(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%54.1%32Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%35.5%323PM / 3PA.
Opponent three-point FG%30.6%32Opponent 3PM / 3PA.
Three-point attempt share39.7%323PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share39.6%32Opponent 3PA / FGA; a style measure.
Free-throw accuracy74.3%32FTM / FTA.
Opponent free-throw accuracy74.3%32Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share52.4%32Assists / FGM; describes recorded ball movement.
Opponent assisted FG share47.0%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 →
1.132
Points / source possession
69.84
Source possessions / game
19.6%
Transition share
20.6%
Assisted share
0.9%
Garbage-time share

2,235 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

Opponent free-throw attempt rate

28.8% · rank 52 of 366 · 32 games

Which defenders can protect the paint without surrendering free throws?

A relative strength

Turnover rate

14.9% · rank 65 of 366 · 32 games

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

A closer look

Free-throw attempt rate

34.0% · rank 209 of 366 · 32 games

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

A closer look

Opponent offensive rebound rate

32.6% · rank 299 of 366 · 32 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 10 times in the selected window; Virginia Tech won 5. 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.60110160OldestNewest

Mar 10, 2026 · neutral vs Wake Forest · L 89–95 · offense 118.6 / defense 126.6

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%
Wake ForestMar 10, 2026 · neutralL 899560118.6126.666.747.117.350.0
VirginiaMar 7, 2026 · roadL 727635108.5114.666.348.415.135.1
Boston CollegeMar 4, 2026 · homeW 7263152108.895.266.253.818.120.0
North CarolinaMar 1, 2026 · roadL 828922118.4128.569.257.313.020.7
Wake ForestFeb 21, 2026 · homeW 826360135.3104.060.659.88.343.3
MiamiFeb 18, 2026 · roadL 666757105.1106.762.857.117.525.9
Florida StFeb 14, 2026 · homeL 699281106.8142.464.651.815.522.6
ClemsonFeb 12, 2026 · roadW 766626117.2101.864.963.020.017.4
NC StateFeb 7, 2026 · roadL 738245101.0113.572.348.420.832.4
DukeJan 31, 2026 · homeL 58721100.7125.057.648.217.434.4
Georgia TechJan 28, 2026 · homeW 7165137101.192.670.240.011.433.3
LouisvilleJan 24, 2026 · roadL 718532100.0119.771.053.218.323.7
SyracuseJan 22, 2026 · roadW 7674102108.0105.270.449.014.224.2
Notre DameJan 17, 2026 · homeW 8976114125.2106.971.157.516.934.6
SMUJan 15, 2026 · roadL 767751109.8111.269.253.314.430.8
CaliforniaJan 10, 2026 · homeW 7875104116.7112.266.948.115.036.7
StanfordJan 8, 2026 · homeL 686977113.2114.960.146.215.040.0
Wake ForestJan 3, 2026 · roadL 788160105.1109.174.256.625.627.6
VirginiaDec 31, 2025 · homeW 95853599.288.769.740.914.635.1
ElonDec 20, 2025 · homeW 8281237118.0116.561.851.718.748.6
MD EasternDec 14, 2025 · homeW 8253361126.381.664.964.012.317.9
W CarolinaDec 12, 2025 · homeW 9674245132.3101.972.663.315.236.7
George MasonDec 6, 2025 · homeW 736290113.396.364.455.314.025.8
South CarolinaDec 3, 2025 · roadW 868399110.8106.969.054.511.620.7
VCUNov 28, 2025 · neutralL 68863996.2121.770.750.918.423.5
Saint Mary'sNov 27, 2025 · neutralL 66771897.4113.667.836.013.339.1
Colorado StNov 26, 2025 · neutralW 666467106.1102.962.252.012.917.2
BryantNov 20, 2025 · homeW 7861298113.088.469.055.214.535.5
CharlotteNov 16, 2025 · homeW 8476181126.8114.766.345.09.139.0
Saint Joseph'sNov 13, 2025 · homeW 9459108127.079.774.059.69.532.4
ProvidenceNov 8, 2025 · neutralW 10710173120.0113.379.358.212.327.9
Charleston SoNov 4, 2025 · homeW 9867278125.785.978.052.09.040.9
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
Ben HammondG3231.513.22.33.257.521.0%322.2432 games10232 games
Neoklis AvdalasG3131.712.13.14.649.123.3%312.0631 games15631 games
Amani HansberryF3030.714.37.42.457.624.1%301.1630 games9630 games
Jailen BedfordG3126.011.33.31.350.724.0%311.1831 games14531 games
Jaden SchuttG3224.87.71.60.956.714.7%322.3132 games16932 games
Tobi LawalF2329.112.38.50.663.519.9%230.3423 games4823 games
Christian GurdakC3117.15.64.40.365.214.4%310.5631 games031 games
Tyler JohnsonG1726.28.04.51.663.713.3%172.2517 games4117 games
Antonio DornC248.52.61.80.462.515.4%240.8324 games024 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 Virginia Tech?

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.

12Source-listed players
10Same-program prior records
0Different-program records
90%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
Guard74,1804,180100%
Forward2993993100%
Center3733733100%

0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (5,906 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 →

12 source-listed players. Prior rates below are attached by exact source ID where available; missing values remain missing.

PlayerObservationPrior MPGPrior PPGPrior TS%
Ben HammondGSame programVirginia Tech Hokies31.513.257.5%
Neoklis AvdalasGSame programVirginia Tech Hokies31.712.149.1%
Amani HansberryFSame programVirginia Tech Hokies30.714.357.6%
Jailen BedfordGSame programVirginia Tech Hokies26.011.350.7%
Jaden SchuttGSame programVirginia Tech Hokies24.87.756.7%
Christian GurdakCSame programVirginia Tech Hokies17.15.665.2%
Tyler JohnsonGSame programVirginia Tech Hokies26.28.063.7%
Antonio DornCSame programVirginia Tech Hokies8.52.662.5%
Izaiah PashaGSame programVirginia Tech Hokies8.22.039.0%
Sin'Cere JonesFSame programVirginia Tech Hokies6.50.626.1%
Brett FreemanGNo prior appearance observedNo prior program listed
Solomon DavisCNo prior appearance observedNo prior program listed

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 16, 2026 · TIME TBD

Richmond vs Virginia Tech

68.0Richmond
77.2Virginia Tech
Virginia Tech win estimate76.5%
Model signalStrong lean
Projected home margin9.3
Projected total145.2
80% home-margin range-6.6 to 25.2
Estimated possessions67.0
Why the model tiltsfour-factor edge
Shot qualityHome 1.1 pts
Virginia Tech attack 53.4% · Richmond defense 50.9%
Richmond attack 51.8% · Virginia Tech defense 50.4%
Ball securityAway 2.0 pts
Virginia Tech attack 16.7% · Richmond defense 16.7%
Richmond attack 15.2% · Virginia Tech defense 17.2%
Second chancesHome 7.8 pts
Virginia Tech attack 30.4% · Richmond defense 28.8%
Richmond attack 22.9% · Virginia Tech defense 29.1%
Free-throw pressureAway 3.5 pts
Virginia Tech attack 34.0% · Richmond defense 33.7%
Richmond attack 34.2% · Virginia Tech defense 30.4%
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).

Cassell Coliseum
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 →