Opponent free-throw attempt rate
25.5% · rank 12 of 366 · 30 games
Which defenders can protect the paint without surrendering free throws?
2025–26 performance, personnel and game context.
A starting point for 2026–27 preparation.
-7.2 adjusted net
per 100 estimated possessions
Checking the attributed publisher rating…
| Metric | Observed rate | Games | Definition |
|---|---|---|---|
| Offensive efficiency | 111.4 | 30 | Points per 100 estimated possessions. |
| Defensive efficiency | 107.0 | 30 | Opponent points per 100 estimated possessions. |
| Two-point FG% | 52.7% | 30 | (FGM − 3PM) / (FGA − 3PA). |
| Opponent two-point FG% | 49.7% | 30 | Opponent (FGM − 3PM) / (FGA − 3PA). |
| Three-point FG% | 36.8% | 30 | 3PM / 3PA. |
| Opponent three-point FG% | 32.9% | 30 | Opponent 3PM / 3PA. |
| Three-point attempt share | 34.9% | 30 | 3PA / FGA; a style measure, not a quality grade. |
| Opponent three-point attempt share | 40.0% | 30 | Opponent 3PA / FGA; a style measure. |
| Free-throw accuracy | 76.9% | 30 | FTM / FTA. |
| Opponent free-throw accuracy | 76.4% | 30 | Opponent FTM / FTA; not attributed to defensive skill. |
| Assisted field-goal share | 51.6% | 30 | Assists / FGM; describes recorded ball movement. |
| Opponent assisted FG share | 54.5% | 30 | Opponent 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.
1,989 source possession rows across 30 recorded team-games. These are descriptive NCAA source aggregates: they do not assign individual credit or enter the forecast.
25.5% · rank 12 of 366 · 30 games
Which defenders can protect the paint without surrendering free throws?
53.6% · rank 96 of 366 · 30 games
Which actions create the team's efficient looks, and which personnel can reproduce them?
29.8% · rank 312 of 366 · 30 games
Who generates contact, and how do opponents keep them off the line?
14.2% · rank 336 of 366 · 30 games
Which defensive actions produce takeaways, and what shots do they concede?
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 7 times in the selected window; C Connecticut won 6. That small-sample record is not a clutch-skill estimate.
Mar 5, 2026 · home vs Wagner · L 60–70 · offense 97.7 / defense 114.0
Higher offense and lower opponent offense are better. Opponent strength and venue are not adjusted here. Missing paired boxes create gaps.
| Game / venue | Result | Current opponent rank | Off. eff. | Def. eff. | Pace | eFG% | TO% | ORB% |
|---|---|---|---|---|---|---|---|---|
| WagnerMar 5, 2026 · home | L 60–70 | 313 | 97.7 | 114.0 | 61.4 | 43.1 | 11.4 | 28.6 |
| Saint FrancisFeb 28, 2026 · home | W 69–64 | 356 | 106.3 | 98.6 | 64.9 | 54.6 | 20.0 | 28.6 |
| MercyhurstFeb 27, 2026 · home | W 80–78 | 305 | 117.7 | 114.7 | 68.0 | 58.8 | 13.2 | 22.2 |
| Chicago StFeb 21, 2026 · road | L 51–70 | 360 | 82.4 | 113.1 | 61.9 | 35.5 | 22.6 | 35.0 |
| Le MoyneFeb 20, 2026 · home | W 78–77 | 316 | 110.2 | 108.8 | 70.8 | 56.6 | 12.7 | 17.1 |
| FDUFeb 14, 2026 · road | W 63–57 | 328 | 111.5 | 100.9 | 56.5 | 45.2 | 12.4 | 34.4 |
| New HavenFeb 13, 2026 · road | W 81–76 | 332 | 117.5 | 110.2 | 69.0 | 66.3 | 21.8 | 19.2 |
| WagnerFeb 7, 2026 · home | W 84–67 | 313 | 127.9 | 102.0 | 65.7 | 63.8 | 15.2 | 31.8 |
| Chicago StFeb 6, 2026 · home | W 78–67 | 360 | 125.1 | 107.5 | 62.3 | 64.9 | 24.1 | 39.1 |
| Long IslandJan 31, 2026 · home | L 59–80 | 269 | 89.1 | 120.8 | 66.2 | 37.3 | 16.6 | 26.8 |
| WagnerJan 30, 2026 · road | W 62–55 | 313 | 103.3 | 91.6 | 60.0 | 51.0 | 15.0 | 17.9 |
| StonehillJan 27, 2026 · road | L 59–61 | 341 | 89.9 | 92.9 | 65.7 | 51.8 | 19.8 | 17.2 |
| FDUJan 24, 2026 · home | L 66–76 | 328 | 112.4 | 129.5 | 58.7 | 52.9 | 18.7 | 35.7 |
| MercyhurstJan 19, 2026 · road | L 61–79 | 305 | 99.2 | 128.4 | 61.5 | 40.8 | 16.3 | 37.5 |
| Saint FrancisJan 17, 2026 · road | W 98–90 | 356 | 143.5 | 131.8 | 68.3 | 71.0 | 10.2 | 16.0 |
| Le MoyneJan 10, 2026 · road | W 69–59 | 316 | 97.2 | 83.1 | 71.0 | 40.7 | 16.9 | 34.2 |
| StonehillJan 9, 2026 · home | W 76–69 | 341 | 114.6 | 104.1 | 66.3 | 59.6 | 19.6 | 24.0 |
| New HavenJan 4, 2026 · home | W 72–61 | 332 | 123.3 | 104.5 | 58.4 | 62.0 | 15.4 | 25.0 |
| Long IslandJan 3, 2026 · road | L 78–84 | 269 | 133.2 | 143.5 | 58.6 | 62.3 | 13.7 | 34.6 |
| FairfieldDec 19, 2025 · home | L 70–84 | 271 | 105.8 | 126.9 | 66.2 | 46.8 | 12.1 | 30.0 |
| BinghamtonDec 13, 2025 · road | W 84–67 | 352 | 128.6 | 102.6 | 65.3 | 69.1 | 18.4 | 25.0 |
| NortheasternDec 7, 2025 · road | L 56–73 | 262 | 81.9 | 106.8 | 68.4 | 36.5 | 13.2 | 21.3 |
| Seton HallDec 4, 2025 · road | L 61–77 | 78 | 96.2 | 121.4 | 63.4 | 51.0 | 23.7 | 25.8 |
| J&WNov 30, 2025 · home | W 122–57 | Unrated | 157.7 | 73.7 | 77.4 | 79.6 | 11.6 | 31.8 |
| Sacred HeartNov 25, 2025 · home | W 108–106 | 279 | 132.5 | 130.0 | 72.5 | 66.9 | 13.5 | 27.6 |
| RutgersNov 21, 2025 · road | W 67–54 | 107 | 107.7 | 86.8 | 62.2 | 46.7 | 11.3 | 32.5 |
| UMassNov 16, 2025 · road | L 77–84 | 177 | 99.0 | 108.0 | 77.8 | 51.9 | 16.7 | 15.6 |
| Boston CollegeNov 12, 2025 · road | W 60–59 | 152 | 91.6 | 90.1 | 65.5 | 45.0 | 18.3 | 32.4 |
| QuinnipiacNov 7, 2025 · road | L 49–71 | 192 | 71.0 | 102.9 | 69.0 | 30.8 | 13.0 | 27.9 |
| VTSU JohnsonNov 4, 2025 · home | W 117–55 | Unrated | 153.4 | 72.1 | 76.3 | 67.5 | 13.1 | 52.9 |
2025–26 recorded affiliations, independent of the split selector. This is not a confirmed 2026–27 roster. Inspect roster observations →
| Player | GP | MIN/G | PTS/G | REB/G | AST/G | TS% | Est. usage | Usage games | AST/TO | 3PA |
|---|---|---|---|---|---|---|---|---|---|---|
| Darin Smith Jr.F | 30 | 32.7 | 20.7 | 5.4 | 1.2 | 58.7 | 31.6% | 30 | 0.7130 games | 14930 games |
| Jay RodgersG | 30 | 29.2 | 11.0 | 2.2 | 6.9 | 53.6 | 23.8% | 30 | 2.5830 games | 9430 games |
| Max FrazierF | 30 | 28.2 | 12.0 | 7.2 | 0.9 | 65.4 | 20.0% | 30 | 0.6830 games | 230 games |
| James JonesG | 26 | 28.8 | 4.2 | 5.6 | 1.2 | 44.1 | 10.4% | 26 | 1.4526 games | 2826 games |
| Melo SanchezG | 29 | 24.8 | 9.6 | 2.1 | 0.8 | 61.2 | 18.9% | 29 | 0.8529 games | 13829 games |
| Elijah ParkerG | 29 | 14.6 | 2.4 | 2.0 | 1.1 | 45.4 | 12.4% | 29 | 1.3529 games | 2629 games |
| Daniel JamesF | 28 | 12.6 | 3.5 | 3.1 | 0.4 | 59.1 | 14.3% | 28 | 0.9128 games | 2228 games |
| Roddy JonesG | 23 | 10.7 | 4.3 | 0.5 | 0.1 | 56.5 | 20.1% | 23 | 0.7523 games | 8023 games |
| Ashton ReynoldsG | 23 | 10.1 | 3.7 | 2.0 | 0.3 | 56.7 | 18.8% | 23 | 1.0023 games | 1923 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.
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.
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.
| Role | Listed | Prior minutes | Returning minutes | Incoming prior minutes | Returning share | Unrepresented |
|---|---|---|---|---|---|---|
| Guard | 10 | 3,546 | 3,546 | — | 100% | — |
| Forward | 6 | 2,479 | 2,479 | — | 100% | — |
| Center | 0 | — | — | — | — | — |
0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (6,025 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.
16 source-listed players. Prior rates below are attached by exact source ID where available; missing values remain missing.
| Player | Observation | Prior MPG | Prior PPG | Prior TS% |
|---|---|---|---|---|
| Darin Smith Jr. →F | Same programCentral Connecticut Blue Devils | 32.7 | 20.7 | 58.7% |
| Jay Rodgers →G | Same programCentral Connecticut Blue Devils | 29.2 | 11.0 | 53.6% |
| Max Frazier →F | Same programCentral Connecticut Blue Devils | 28.2 | 12.0 | 65.4% |
| James Jones →G | Same programCentral Connecticut Blue Devils | 28.8 | 4.2 | 44.1% |
| Melo Sanchez →G | Same programCentral Connecticut Blue Devils | 24.8 | 9.6 | 61.2% |
| Elijah Parker →G | Same programCentral Connecticut Blue Devils | 14.6 | 2.4 | 45.4% |
| Daniel James →F | Same programCentral Connecticut Blue Devils | 12.6 | 3.5 | 59.1% |
| Roddy Jones →G | Same programCentral Connecticut Blue Devils | 10.7 | 4.3 | 56.5% |
| Ashton Reynolds →G | Same programCentral Connecticut Blue Devils | 10.1 | 3.7 | 56.7% |
| Nico Ashley →F | Same programCentral Connecticut Blue Devils | 9.8 | 3.3 | 59.8% |
| Gabe Spinelli →G | Same programCentral Connecticut Blue Devils | 14.7 | 4.7 | 58.0% |
| Ja'Kobe Williams →G | Same programCentral Connecticut Blue Devils | 18.1 | 3.3 | 35.1% |
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.
Checking the live schedule edition…
JMA Wireless Dome
Preseason baseline · roster changes are not model features.
No verified pregame market line imported. Check the forecast record →
MassMutual Center
Preseason baseline · roster changes are not model features.
No verified pregame market line imported. Check the forecast record →
Rose Hill Gym
Preseason baseline · roster changes are not model features.
No verified pregame market line imported. Check the forecast record →
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 →