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

Duquesne

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

Independent preseason modelNo.129

+3.2 adjusted net
per 100 estimated possessions

18152025–26 recorded finals
107.9Adjusted offense · 2026–27 baseline
104.8Adjusted defense · lower is better
68.3Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on Duquesne.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

181533 recorded games · 33 paired efficiency samples · pace 69.7Mean opponent adj. net 2.4 · 31 rated opponents
Offense

Effective FG%

53.2%33 games · higher is betterRank 109 / 366 · 70th favorable percentile
Defense

Opponent effective FG%

51.8%33 games · lower is betterRank 233 / 366 · 36th favorable percentile
Offense

Turnover rate

17.7%33 games · lower is betterRank 268 / 366 · 27th favorable percentile
Defense

Turnovers forced

18.4%33 games · higher is betterRank 87 / 366 · 76th favorable percentile
Offense

Offensive rebound rate

31.1%33 games · higher is betterRank 184 / 366 · 50th favorable percentile
Defense

Opponent offensive rebound rate

29.3%33 games · lower is betterRank 149 / 366 · 59th favorable percentile
Offense

Free-throw attempt rate

37.8%33 games · higher is betterRank 96 / 366 · 74th favorable percentile
Defense

Opponent free-throw attempt rate

38.2%33 games · lower is betterRank 281 / 366 · 23th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency110.633Points per 100 estimated possessions.
Defensive efficiency106.233Opponent points per 100 estimated possessions.
Two-point FG%55.4%33(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%50.6%33Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%33.6%333PM / 3PA.
Opponent three-point FG%35.7%33Opponent 3PM / 3PA.
Three-point attempt share43.8%333PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share39.9%33Opponent 3PA / FGA; a style measure.
Free-throw accuracy71.4%33FTM / FTA.
Opponent free-throw accuracy73.0%33Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share56.2%33Assists / FGM; describes recorded ball movement.
Opponent assisted FG share54.4%33Opponent 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 →
1.100
Points / source possession
71.24
Source possessions / game
22.5%
Transition share
21.1%
Assisted share
2.1%
Garbage-time share

2,351 source possession rows across 33 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

18.4% · rank 87 of 366 · 33 games

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

A relative strength

Free-throw attempt rate

37.8% · rank 96 of 366 · 33 games

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

A closer look

Turnover rate

17.7% · rank 268 of 366 · 33 games

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

A closer look

Opponent free-throw attempt rate

38.2% · rank 281 of 366 · 33 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 8 times in the selected window; Duquesne 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.50105160OldestNewest

Mar 13, 2026 · neutral vs VCU · L 66–71 · offense 101.9 / defense 109.6

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 · 33 games
Game / venueResultCurrent opponent rankOff. eff.Def. eff.PaceeFG%TO%ORB%
VCUMar 13, 2026 · neutralL 667139101.9109.664.850.923.232.3
Rhode IslandMar 12, 2026 · neutralW 6761158112.4102.359.642.71.737.2
RichmondMar 7, 2026 · homeW 7977162119.9116.865.948.415.244.1
Rhode IslandMar 5, 2026 · roadL 526415879.798.165.339.429.133.3
Saint LouisMar 1, 2026 · roadL 769155115.7138.665.753.615.233.3
DavidsonFeb 26, 2026 · homeL 566712185.4102.265.639.813.723.1
DaytonFeb 21, 2026 · roadL 667858102.6121.364.345.320.236.1
La SalleFeb 19, 2026 · homeW 626124289.588.169.251.126.019.2
St BonaventureFeb 14, 2026 · roadW 7873125113.0105.869.053.28.720.5
G WashingtonFeb 7, 2026 · homeW 8886110129.2126.268.154.25.934.4
George MasonFeb 5, 2026 · roadW 716590110.0100.764.650.913.932.3
Rhode IslandFeb 1, 2026 · homeW 7661158116.093.165.556.022.935.7
St BonaventureJan 29, 2026 · homeL 7987125114.7126.368.952.313.129.5
Loyola ChicagoJan 24, 2026 · roadW 7159202104.887.167.752.814.816.1
Saint LouisJan 21, 2026 · homeL 778155100.3105.576.840.918.237.0
FordhamJan 17, 2026 · roadW 7463187104.388.871.054.918.319.4
DaytonJan 14, 2026 · homeL 657158101.0110.364.448.018.624.2
Saint Joseph'sJan 8, 2026 · roadL 9097108111.9120.671.552.017.436.8
VCUJan 3, 2026 · homeL 809339112.2130.471.360.418.220.7
DavidsonDec 31, 2025 · roadW 8983121114.0106.362.452.215.432.6
ClearyDec 27, 2025 · homeW 9949Unrated131.064.875.659.717.251.4
CanisiusDec 23, 2025 · homeW 10359354141.581.072.872.613.725.0
NevadaDec 14, 2025 · roadL 757859111.4115.867.448.319.337.8
Boise StDec 11, 2025 · roadL 64865090.7121.970.545.715.616.7
Stony BrookDec 6, 2025 · homeW 8475280121.7108.769.056.015.938.2
William & MaryDec 3, 2025 · homeL 7983195102.6107.877.052.527.339.4
Central StNov 26, 2025 · homeW 10180Unrated130.1103.177.672.920.629.2
NortheasternNov 22, 2025 · neutralL 8693262101.7110.084.658.522.515.6
Loyola MDNov 20, 2025 · homeW 9278330123.2104.574.762.122.838.7
VillanovaNov 16, 2025 · roadL 778736110.7125.069.658.224.437.5
QueensNov 12, 2025 · homeW 8781205101.194.176.553.018.622.0
Sacred HeartNov 8, 2025 · homeW 9280279124.0107.874.250.09.437.8
NiagaraNov 4, 2025 · homeW 8363331116.988.771.066.423.926.9
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
Tarence GuinyardG3233.316.63.34.758.424.5%322.1132 games19732 games
Jimmie WilliamsG3329.715.14.52.657.425.0%331.5133 games18333 games
Jakub NecasF3224.56.95.11.158.714.7%320.8132 games4432 games
David DixonF3322.48.25.51.363.918.0%330.7533 games1533 games
Cam CrawfordG3218.64.61.81.048.014.3%321.4832 games8932 games
Alex WilliamsF3117.99.23.50.959.624.9%310.7931 games10631 games
Brandon HallG2618.93.41.30.845.212.7%260.9226 games4226 games
John Hugley IVF2716.07.73.51.358.324.2%270.9527 games3327 games
Maximus EdwardsG2316.06.32.81.349.322.0%231.5023 games6723 games
Jake DiMicheleG2514.43.81.10.752.513.7%251.8925 games4425 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 Duquesne?

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.

18Source-listed players
16Same-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
Guard113,9993,999100%
Forward62,6012,601100%
Center1100100100%

0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (6,700 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 →

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

PlayerObservationPrior MPGPrior PPGPrior TS%
Tarence GuinyardGSame programDuquesne Dukes33.316.658.4%
Jimmie WilliamsGSame programDuquesne Dukes29.715.157.4%
Jakub NecasFSame programDuquesne Dukes24.56.958.7%
David DixonFSame programDuquesne Dukes22.48.263.9%
Cam CrawfordGSame programDuquesne Dukes18.64.648.0%
Alex WilliamsFSame programDuquesne Dukes17.99.259.6%
Brandon HallGSame programDuquesne Dukes18.93.445.2%
John Hugley IVFSame programDuquesne Dukes16.07.758.3%
Maximus EdwardsGSame programDuquesne Dukes16.06.349.3%
Jake DiMicheleGSame programDuquesne Dukes14.43.852.5%
Dom AekinsGSame programDuquesne Dukes7.83.048.5%
Stef van BusselCSame programDuquesne Dukes5.91.468.7%

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 14, 2026 · TIME TBD

Binghamton vs Duquesne

62.7Binghamton
79.6Duquesne
Duquesne win estimate88.2%
Model signalStrong lean
Projected home margin16.9
Projected total142.3
80% home-margin range1.0 to 32.9
Estimated possessions66.7
Why the model tiltsfour-factor edge
Shot qualityAway 0.4 pts
Duquesne attack 51.5% · Binghamton defense 52.7%
Binghamton attack 50.1% · Duquesne defense 50.9%
Ball securityAway 3.8 pts
Duquesne attack 17.7% · Binghamton defense 13.6%
Binghamton attack 19.0% · Duquesne defense 18.7%
Second chancesHome 6.8 pts
Duquesne attack 31.2% · Binghamton defense 29.7%
Binghamton attack 24.6% · Duquesne defense 29.9%
Free-throw pressureAway 0.8 pts
Duquesne attack 34.9% · Binghamton defense 36.0%
Binghamton attack 37.8% · Duquesne defense 38.2%
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).

UPMC Cooper Fieldhouse
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 →