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

Dayton

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

Independent preseason modelNo.58

+11.5 adjusted net
per 100 estimated possessions

25122025–26 recorded finals
112.2Adjusted offense · 2026–27 baseline
100.7Adjusted defense · lower is better
67.0Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on Dayton.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

251237 recorded games · 37 paired efficiency samples · pace 67.6Mean opponent adj. net 4.5 · 37 rated opponents
Offense

Effective FG%

51.6%37 games · higher is betterRank 194 / 366 · 47th favorable percentile
Defense

Opponent effective FG%

51.0%37 games · lower is betterRank 190 / 366 · 48th favorable percentile
Offense

Turnover rate

16.9%37 games · lower is betterRank 199 / 366 · 46th favorable percentile
Defense

Turnovers forced

21.0%37 games · higher is betterRank 15 / 366 · 96th favorable percentile
Offense

Offensive rebound rate

26.9%37 games · higher is betterRank 315 / 366 · 14th favorable percentile
Defense

Opponent offensive rebound rate

28.8%37 games · lower is betterRank 117 / 366 · 68th favorable percentile
Offense

Free-throw attempt rate

46.2%37 games · higher is betterRank 2 / 366 · 100th favorable percentile
Defense

Opponent free-throw attempt rate

35.5%37 games · lower is betterRank 215 / 366 · 41th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency108.537Points per 100 estimated possessions.
Defensive efficiency101.537Opponent points per 100 estimated possessions.
Two-point FG%52.1%37(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%49.6%37Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%33.9%373PM / 3PA.
Opponent three-point FG%35.4%37Opponent 3PM / 3PA.
Three-point attempt share41.4%373PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share40.9%37Opponent 3PA / FGA; a style measure.
Free-throw accuracy75.4%37FTM / FTA.
Opponent free-throw accuracy70.4%37Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share59.1%37Assists / FGM; describes recorded ball movement.
Opponent assisted FG share50.7%37Opponent 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 →
1.078
Points / source possession
68.73
Source possessions / game
19.7%
Transition share
20.6%
Assisted share
1.2%
Garbage-time share

2,543 source possession rows across 37 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

Free-throw attempt rate

46.2% · rank 2 of 366 · 37 games

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

A relative strength

Turnovers forced

21.0% · rank 15 of 366 · 37 games

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

A closer look

Opponent free-throw attempt rate

35.5% · rank 215 of 366 · 37 games

Which defenders can protect the paint without surrendering free throws?

A closer look

Offensive rebound rate

26.9% · rank 315 of 366 · 37 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 11 times in the selected window; Dayton won 7. 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 25, 2026 · home vs Illinois St · L 55–61 · offense 87.6 / defense 97.2

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 · 37 games
Game / venueResultCurrent opponent rankOff. eff.Def. eff.PaceeFG%TO%ORB%
Illinois StMar 25, 2026 · homeL 556111287.697.262.832.58.027.7
UNC WilmingtonMar 21, 2026 · roadW 8061113125.895.963.659.817.337.9
BradleyMar 19, 2026 · roadW 806698133.9110.459.861.56.712.0
VCUMar 15, 2026 · neutralL 62703996.0108.464.650.017.022.2
Saint LouisMar 14, 2026 · neutralW 706955102.3100.868.441.811.726.3
St BonaventureMar 13, 2026 · neutralW 6863125103.395.765.844.219.834.3
VCUMar 7, 2026 · homeL 626839102.2112.160.749.114.826.5
RichmondMar 4, 2026 · roadW 6560162105.197.061.858.125.925.0
G WashingtonFeb 28, 2026 · roadW 6866110101.798.766.962.225.48.7
Saint LouisFeb 25, 2026 · homeW 776255110.989.369.454.914.415.6
DuquesneFeb 21, 2026 · homeW 7866129121.3102.664.351.912.435.5
George MasonFeb 19, 2026 · roadW 826790130.8106.862.766.312.825.0
DavidsonFeb 15, 2026 · homeW 7059121115.197.060.851.026.351.9
VCUFeb 7, 2026 · roadL 73993988.3119.882.742.319.428.3
St BonaventureFeb 4, 2026 · homeW 7270125112.7109.663.947.815.726.7
Saint LouisJan 31, 2026 · roadL 711025597.6140.272.851.820.620.0
Rhode IslandJan 28, 2026 · homeL 7681158101.5108.266.659.330.726.9
Saint Joseph'sJan 24, 2026 · roadL 748110899.0108.474.750.820.128.2
La SalleJan 21, 2026 · roadL 646724299.3104.064.447.220.236.4
Loyola ChicagoJan 17, 2026 · homeW 7851202114.074.568.453.816.121.2
DuquesneJan 14, 2026 · roadW 7165129110.3101.064.452.215.520.7
G WashingtonJan 7, 2026 · homeW 7972110113.9103.869.447.315.934.4
Loyola ChicagoJan 3, 2026 · roadW 7068202104.3101.367.143.88.920.6
FordhamDec 31, 2025 · homeW 6356187100.589.362.746.312.824.2
LibertyDec 20, 2025 · homeL 616496102.2107.259.746.216.831.4
Florida StDec 17, 2025 · homeW 976981124.288.478.155.915.420.7
North FloridaDec 14, 2025 · homeW 8461321122.088.668.858.513.138.9
VirginiaDec 6, 2025 · neutralL 73863599.1116.873.644.512.220.5
ETSUDec 3, 2025 · homeW 8871141119.196.173.960.020.333.3
BYUNov 29, 2025 · neutralL 798319105.9111.374.658.918.821.1
GeorgetownNov 28, 2025 · neutralW 8479105111.1104.567.250.017.230.0
NC CentralNov 22, 2025 · homeW 7455333112.083.266.150.010.632.5
MarquetteNov 20, 2025 · roadW 77714695.788.271.560.231.119.2
BethuneNov 16, 2025 · homeW 9182301132.5119.468.765.018.939.3
CincinnatiNov 12, 2025 · roadL 62744176.491.181.233.916.014.0
UMBCNov 8, 2025 · homeW 7771225116.5107.566.156.913.623.1
CanisiusNov 4, 2025 · homeW 8848354138.975.863.458.86.335.5
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
Javon BennettG3734.515.82.22.954.624.2%372.0437 games25937 games
Keonte JonesG3730.27.75.32.256.314.3%371.6137 games4137 games
De'Shayne MontgomeryG3630.613.44.02.159.022.8%361.1036 games15536 games
Amaël L'EtangF3325.511.95.91.660.524.4%330.7833 games9733 games
Jordan DerkackG3224.89.24.82.552.722.0%321.5032 games5832 games
Bryce HeardG3618.46.62.40.858.218.2%360.9636 games7136 games
Jaiun SimonF3618.35.63.31.261.515.7%361.4336 games3536 games
Jacob ConnerF3617.03.22.31.151.911.4%361.8136 games6436 games
Malcolm ThomasF268.74.01.50.355.925.7%260.4226 games1826 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 Dayton?

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
14Same-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
Guard105,0475,047100%
Forward52,4282,428100%
Center0

0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (7,475 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%
Javon BennettGSame programDayton Flyers34.515.854.6%
Keonte JonesGSame programDayton Flyers30.27.756.3%
De'Shayne MontgomeryGSame programDayton Flyers30.613.459.0%
Amaël L'EtangFSame programDayton Flyers25.511.960.5%
Jordan DerkackGSame programDayton Flyers24.89.252.7%
Bryce HeardGSame programDayton Flyers18.46.658.2%
Jaiun SimonFSame programDayton Flyers18.35.661.5%
Jacob ConnerFSame programDayton Flyers17.03.251.9%
Malcolm ThomasFSame programDayton Flyers8.74.055.9%
Damon FrieryFSame programDayton Flyers5.61.845.7%
Sean PouedetGSame programDayton Flyers5.40.645.2%
Evan DickeyGSame programDayton Flyers2.00.551.3%

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

NJIT vs Dayton

57.9NJIT
80.2Dayton
Dayton win estimate93.1%
Model signalStrong lean
Projected home margin22.3
Projected total138.1
80% home-margin range6.3 to 38.2
Estimated possessions66.8
Why the model tiltsfour-factor edge
Shot qualityHome 5.5 pts
Dayton attack 53.6% · NJIT defense 51.2%
NJIT attack 46.7% · Dayton defense 49.7%
Ball securityAway 2.1 pts
Dayton attack 16.5% · NJIT defense 15.4%
NJIT attack 17.5% · Dayton defense 18.5%
Second chancesAway 3.0 pts
Dayton attack 28.3% · NJIT defense 32.5%
NJIT attack 26.9% · Dayton defense 28.0%
Free-throw pressureHome 2.7 pts
Dayton attack 41.7% · NJIT defense 38.5%
NJIT attack 33.0% · Dayton defense 32.4%
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).

UD 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 SCHEDULENov 7, 2026 · TIME TBD

N Illinois vs Dayton

59.8N Illinois
81.4Dayton
Dayton win estimate92.6%
Model signalStrong lean
Projected home margin21.6
Projected total141.1
80% home-margin range5.6 to 37.5
Estimated possessions67.8
Why the model tiltsfour-factor edge
Shot qualityHome 1.3 pts
Dayton attack 53.6% · N Illinois defense 53.6%
N Illinois attack 48.4% · Dayton defense 49.7%
Ball securityHome 0.6 pts
Dayton attack 16.5% · N Illinois defense 16.8%
N Illinois attack 18.8% · Dayton defense 18.5%
Second chancesAway 0.7 pts
Dayton attack 28.3% · N Illinois defense 30.9%
N Illinois attack 26.2% · Dayton defense 28.0%
Free-throw pressureAway 1.1 pts
Dayton attack 41.7% · N Illinois defense 38.5%
N Illinois attack 36.7% · Dayton defense 32.4%
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).

UD 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 SCHEDULENov 10, 2026 · TIME TBD

Siena vs Dayton

62.0Siena
75.4Dayton
Dayton win estimate83.7%
Model signalStrong lean
Projected home margin13.5
Projected total137.4
80% home-margin range-2.5 to 29.4
Estimated possessions65.3
Why the model tiltsfour-factor edge
Shot qualityHome 2.9 pts
Dayton attack 53.6% · Siena defense 51.2%
Siena attack 49.3% · Dayton defense 49.7%
Ball securityAway 0.9 pts
Dayton attack 16.5% · Siena defense 16.6%
Siena attack 17.5% · Dayton defense 18.5%
Second chancesAway 3.8 pts
Dayton attack 28.3% · Siena defense 30.1%
Siena attack 30.0% · Dayton defense 28.0%
Free-throw pressureHome 6.5 pts
Dayton attack 41.7% · Siena defense 32.5%
Siena attack 35.2% · Dayton defense 32.4%
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).

UD 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 ↗

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 →