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

Hampton

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

Independent preseason modelNo.288

-8.8 adjusted net
per 100 estimated possessions

13192025–26 recorded finals
101.0Adjusted offense · 2026–27 baseline
109.8Adjusted defense · lower is better
67.3Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on Hampton.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

131932 recorded games · 32 paired efficiency samples · pace 66.5Mean opponent adj. net -4.0 · 30 rated opponents
Offense

Effective FG%

47.0%32 games · higher is betterRank 348 / 366 · 5th favorable percentile
Defense

Opponent effective FG%

50.4%32 games · lower is betterRank 156 / 366 · 58th favorable percentile
Offense

Turnover rate

16.7%32 games · lower is betterRank 186 / 366 · 49th favorable percentile
Defense

Turnovers forced

17.3%32 games · higher is betterRank 144 / 366 · 61th favorable percentile
Offense

Offensive rebound rate

33.6%32 games · higher is betterRank 95 / 366 · 74th favorable percentile
Defense

Opponent offensive rebound rate

29.6%32 games · lower is betterRank 163 / 366 · 56th favorable percentile
Offense

Free-throw attempt rate

37.3%32 games · higher is betterRank 109 / 366 · 70th favorable percentile
Defense

Opponent free-throw attempt rate

44.2%32 games · lower is betterRank 351 / 366 · 4th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency104.332Points per 100 estimated possessions.
Defensive efficiency105.632Opponent points per 100 estimated possessions.
Two-point FG%48.7%32(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%52.0%32Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%29.4%323PM / 3PA.
Opponent three-point FG%31.6%32Opponent 3PM / 3PA.
Three-point attempt share37.6%323PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share33.5%32Opponent 3PA / FGA; a style measure.
Free-throw accuracy71.7%32FTM / FTA.
Opponent free-throw accuracy67.9%32Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share50.3%32Assists / FGM; describes recorded ball movement.
Opponent assisted FG share50.1%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 →
1.039
Points / source possession
67.66
Source possessions / game
20.9%
Transition share
17.8%
Assisted share
3.4%
Garbage-time share

2,165 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

Offensive rebound rate

33.6% · rank 95 of 366 · 32 games

Who crashes the glass, and how does that affect transition defense?

A relative strength

Free-throw attempt rate

37.3% · rank 109 of 366 · 32 games

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

A closer look

Effective FG%

47.0% · rank 348 of 366 · 32 games

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

A closer look

Opponent free-throw attempt rate

44.2% · rank 351 of 366 · 32 games

Which defenders can protect the paint without surrendering free throws?

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; Hampton 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.4095150OldestNewest

Mar 7, 2026 · neutral vs Towson · L 68–74 · offense 100.1 / defense 108.9

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%
TowsonMar 7, 2026 · neutralL 6874150100.1108.967.941.014.741.3
William & MaryMar 4, 2026 · roadL 8594195117.9130.372.147.79.727.9
NortheasternFeb 28, 2026 · homeW 7665262115.298.665.954.76.110.0
CharlestonFeb 26, 2026 · homeL 7185135103.8124.368.449.114.620.0
Stony BrookFeb 21, 2026 · roadL 7279280104.5114.668.949.220.334.2
HofstraFeb 20, 2026 · roadL 437911570.5129.561.030.021.338.3
NC A&TFeb 14, 2026 · neutralL 7071318105.6107.166.351.021.131.0
William & MaryFeb 7, 2026 · homeW 7774195107.7103.671.550.016.833.3
ElonFeb 6, 2026 · homeW 8779237110.2100.163.144.212.736.2
TowsonJan 31, 2026 · roadL 508215076.1124.865.735.313.723.9
DrexelJan 30, 2026 · roadL 515818582.293.462.134.720.936.6
UNC WilmingtonJan 24, 2026 · homeL 6775113112.0125.459.853.413.430.3
MonmouthJan 23, 2026 · homeW 6563211100.797.664.647.118.629.4
NC A&TJan 20, 2026 · homeW 8261318127.494.764.451.56.234.2
CharlestonJan 10, 2026 · roadL 7074135111.2117.663.044.112.745.5
CampbellJan 9, 2026 · roadL 728620897.0115.974.250.028.335.5
UNC WilmingtonJan 4, 2026 · roadL 454911375.582.259.633.313.422.0
TowsonDec 31, 2025 · homeW 6362150104.3102.660.450.019.934.5
Stony BrookDec 30, 2025 · homeW 625928096.591.864.349.017.125.8
GramblingDec 19, 2025 · neutralL 7281307108.1121.666.650.922.541.9
Jackson StDec 18, 2025 · neutralW 8477345117.2107.471.755.820.934.5
HowardDec 13, 2025 · neutralL 576122384.490.367.627.017.833.3
Loyola MDDec 4, 2025 · homeW 9371330126.796.773.468.016.430.8
ApprenticeDec 2, 2025 · homeW 9458Unrated125.377.375.053.512.048.9
MD EasternNov 26, 2025 · roadW 7468361120.7110.961.355.713.124.1
Norfolk StNov 22, 2025 · roadL 606225297.1100.361.850.019.429.0
Boston CollegeNov 19, 2025 · roadL 526315280.297.264.838.321.635.7
Holy CrossNov 16, 2025 · neutralL 6167334103.2113.459.141.718.642.9
BrownNov 15, 2025 · roadW 7263249113.098.963.742.418.852.6
VirginiaNov 12, 2025 · roadL 53913578.9135.567.236.516.424.4
Mid Atl ChrstnNov 7, 2025 · homeW 10343Unrated139.958.473.671.212.236.7
MilwaukeeNov 4, 2025 · roadL 8690218108.1113.179.648.422.637.2
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
Xzavier LongF3034.69.89.61.951.816.9%300.9530 games8430 games
Daniel JohnsonG3225.110.05.00.748.522.9%320.7332 games11632 games
Jalyke Gaines-WyattG2926.211.21.43.052.625.2%291.3029 games7229 games
Etienne StrothersG3218.86.21.71.749.819.9%321.4232 games8232 games
Josh OgundeleF2717.66.73.50.658.520.2%270.5527 games1027 games
Kody WilliamsG2916.02.71.01.640.112.7%292.5629 games4829 games
Michael EleyG2319.213.03.40.759.330.8%231.0623 games9423 games
Christian WatsonG2517.66.02.01.050.120.0%251.0925 games4825 games
Eunique RinkF3011.71.91.90.260.98.4%300.4230 games030 games
Aidan HaskinsF2911.23.11.40.651.814.3%293.6029 games6329 games
Elijah KennedyG2213.04.91.90.951.020.5%222.1122 games3422 games
Quintin CooperG278.63.61.10.641.028.8%271.1527 games3127 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 Hampton?

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
15Same-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
Guard104,1084,108100%
Forward52,3422,342100%
Center0

0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (6,450 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%
Xzavier LongFSame programHampton Pirates34.69.851.8%
Daniel JohnsonGSame programHampton Pirates25.110.048.5%
Jalyke Gaines-WyattGSame programHampton Pirates26.211.252.6%
Etienne StrothersGSame programHampton Pirates18.86.249.8%
Josh OgundeleFSame programHampton Pirates17.66.758.5%
Kody WilliamsGSame programHampton Pirates16.02.740.1%
Michael EleyGSame programHampton Pirates19.213.059.3%
Christian WatsonGSame programHampton Pirates17.66.050.1%
Eunique RinkFSame programHampton Pirates11.71.960.9%
Aidan HaskinsFSame programHampton Pirates11.23.151.8%
Elijah KennedyGSame programHampton Pirates13.04.951.0%
Quintin CooperGSame programHampton Pirates8.63.641.0%

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 29, 4:00 PM ET

Hampton vs American

66.6Hampton
71.5American
American win estimate66.8%
Model signalLean
Projected home margin4.9
Projected total138.0
80% home-margin range-11.0 to 20.8
Estimated possessions65.2
Why the model tiltsfour-factor edge
Shot qualityHome 5.3 pts
American attack 51.6% · Hampton defense 52.7%
Hampton attack 47.1% · American defense 53.5%
Ball securityAway 1.3 pts
American attack 17.4% · Hampton defense 17.0%
Hampton attack 17.0% · American defense 17.9%
Second chancesAway 4.6 pts
American attack 26.5% · Hampton defense 29.5%
Hampton attack 31.1% · American defense 29.5%
Free-throw pressureAway 7.8 pts
American attack 31.2% · Hampton defense 41.1%
Hampton attack 36.1% · American defense 38.3%
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).

Bender Arena
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 SCHEDULEDec 8, 2026 · TIME TBD

Hampton vs Wake Forest

63.4Hampton
80.5Wake Forest
Wake Forest win estimate88.4%
Model signalStrong lean
Projected home margin17.1
Projected total143.9
80% home-margin range1.2 to 33.0
Estimated possessions68.0
Why the model tiltsfour-factor edge
Shot qualityHome 2.7 pts
Wake Forest attack 53.2% · Hampton defense 52.7%
Hampton attack 47.1% · Wake Forest defense 49.3%
Ball securityAway 0.3 pts
Wake Forest attack 16.2% · Hampton defense 17.0%
Hampton attack 17.0% · Wake Forest defense 18.2%
Second chancesAway 2.2 pts
Wake Forest attack 29.1% · Hampton defense 29.5%
Hampton attack 31.1% · Wake Forest defense 29.3%
Free-throw pressureAway 7.4 pts
Wake Forest attack 36.3% · Hampton defense 41.1%
Hampton attack 36.1% · Wake Forest defense 33.4%
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).

LJVM 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 ↗
ON THE SCHEDULEJan 2, 2027 · TIME TBD

Drexel vs Hampton

66.8Drexel
65.4Hampton
Hampton win estimate50.2%
Model signalToss-up
Projected home margin-1.4
Projected total132.3
80% home-margin range-17.3 to 14.5
Estimated possessions64.5
Why the model tiltsfour-factor edge
Shot qualityHome 0.1 pts
Hampton attack 47.1% · Drexel defense 48.9%
Drexel attack 50.9% · Hampton defense 52.7%
Ball securityHome 0.1 pts
Hampton attack 17.0% · Drexel defense 15.7%
Drexel attack 18.5% · Hampton defense 17.0%
Second chancesHome 0.5 pts
Hampton attack 31.1% · Drexel defense 29.3%
Drexel attack 30.7% · Hampton defense 29.5%
Free-throw pressureHome 14.2 pts
Hampton attack 36.1% · Drexel defense 32.0%
Drexel attack 31.0% · Hampton defense 41.1%
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).

Convocation Center (VA)
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 →