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

Stonehill

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

Independent preseason modelNo.341

-15.1 adjusted net
per 100 estimated possessions

12212025–26 recorded finals
94.7Adjusted offense · 2026–27 baseline
109.8Adjusted defense · lower is better
67.4Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on Stonehill.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

122133 recorded games · 33 paired efficiency samples · pace 67.1Mean opponent adj. net -9.1 · 31 rated opponents
Offense

Effective FG%

48.0%33 games · higher is betterRank 333 / 366 · 9th favorable percentile
Defense

Opponent effective FG%

47.2%33 games · lower is betterRank 32 / 366 · 92th favorable percentile
Offense

Turnover rate

19.1%33 games · lower is betterRank 332 / 366 · 9th favorable percentile
Defense

Turnovers forced

13.8%33 games · higher is betterRank 344 / 366 · 6th favorable percentile
Offense

Offensive rebound rate

28.2%33 games · higher is betterRank 281 / 366 · 23th favorable percentile
Defense

Opponent offensive rebound rate

26.2%33 games · lower is betterRank 31 / 366 · 92th favorable percentile
Offense

Free-throw attempt rate

28.5%33 games · higher is betterRank 336 / 366 · 8th favorable percentile
Defense

Opponent free-throw attempt rate

30.4%33 games · lower is betterRank 83 / 366 · 78th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency97.533Points per 100 estimated possessions.
Defensive efficiency100.733Opponent points per 100 estimated possessions.
Two-point FG%47.8%33(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%46.0%33Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%32.2%333PM / 3PA.
Opponent three-point FG%33.1%33Opponent 3PM / 3PA.
Three-point attempt share40.6%333PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share33.2%33Opponent 3PA / FGA; a style measure.
Free-throw accuracy68.6%33FTM / FTA.
Opponent free-throw accuracy66.8%33Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share52.3%33Assists / FGM; describes recorded ball movement.
Opponent assisted FG share43.4%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 →
0.977
Points / source possession
67.97
Source possessions / game
21.3%
Transition share
18.3%
Assisted share
2.4%
Garbage-time share

2,243 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

Opponent offensive rebound rate

26.2% · rank 31 of 366 · 33 games

Which matchups demand an extra box-out assignment?

A relative strength

Opponent effective FG%

47.2% · rank 32 of 366 · 33 games

What coverages and lineups account for the shot quality opponents receive?

A closer look

Free-throw attempt rate

28.5% · rank 336 of 366 · 33 games

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

A closer look

Turnovers forced

13.8% · rank 344 of 366 · 33 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 11 times in the selected window; Stonehill 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.50105160OldestNewest

Mar 7, 2026 · road vs Mercyhurst · L 51–56 · offense 77.8 / defense 85.4

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%
MercyhurstMar 7, 2026 · roadL 515630577.885.465.638.015.28.6
Le MoyneMar 5, 2026 · roadW 8171316114.8100.670.653.911.323.1
MercyhurstFeb 28, 2026 · homeL 727530594.097.968.143.015.726.1
Saint FrancisFeb 27, 2026 · homeW 10377356141.0105.473.068.211.034.5
Le MoyneFeb 21, 2026 · homeW 7768316109.496.670.448.48.528.6
New HavenFeb 20, 2026 · roadL 516433277.997.865.540.415.317.9
WagnerFeb 14, 2026 · homeL 576831386.5103.265.939.221.328.2
Chicago StFeb 13, 2026 · roadL 556836098.3121.556.056.025.020.8
Long IslandFeb 7, 2026 · roadL 546126988.299.761.238.221.236.4
FDUFeb 6, 2026 · roadL 587432891.0116.163.742.918.821.6
Le MoyneJan 31, 2026 · roadW 655431691.175.771.439.811.222.7
FDUJan 30, 2026 · homeW 585732896.694.960.144.416.632.3
C ConnecticutJan 27, 2026 · homeW 615926092.989.965.743.319.828.6
Long IslandJan 24, 2026 · homeL 636626997.1101.764.950.923.132.3
Saint FrancisJan 19, 2026 · roadL 616335690.293.167.651.131.025.0
MercyhurstJan 17, 2026 · roadW 625730588.881.762.047.121.525.0
Chicago StJan 10, 2026 · homeW 8582360115.7111.665.357.423.145.7
C ConnecticutJan 9, 2026 · roadL 6976260104.1114.666.351.719.632.4
WagnerJan 4, 2026 · roadW 6960313112.898.161.252.813.129.0
New HavenJan 3, 2026 · homeL 557033283.3106.166.040.418.226.5
SyracuseDec 23, 2025 · roadL 487710277.5124.361.934.924.232.6
New HampshireDec 17, 2025 · roadL 585934884.986.468.343.030.730.3
VTSU JohnsonDec 13, 2025 · homeW 10160Unrated134.379.875.262.514.641.2
BryantDec 2, 2025 · roadL 6577298105.4124.861.750.014.633.3
QuinnipiacNov 30, 2025 · roadL 627619289.5109.769.345.321.738.9
UMass LowellNov 26, 2025 · homeL 647527293.3109.468.640.713.130.6
LafayetteNov 21, 2025 · homeW 7470319103.698.071.453.321.034.3
Iowa StateNov 18, 2025 · roadL 5796580.7136.070.650.928.318.8
Loyola MDNov 15, 2025 · neutralL 637433095.7112.465.951.725.831.3
FairfieldNov 15, 2025 · roadL 717327191.894.468.746.312.912.5
Rhode IslandNov 12, 2025 · roadL 578015880.0112.371.240.429.531.6
DePaulNov 8, 2025 · roadL 647213484.394.975.948.221.116.2
Thomas CollNov 3, 2025 · homeW 10048Unrated131.863.375.963.315.840.0
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
Hermann KoffiG3235.412.82.81.354.219.3%321.0832 games21232 games
Davante HackettG3327.713.64.11.554.325.9%331.0933 games18633 games
Chas StinsonG3227.911.35.51.652.224.1%320.7732 games3432 games
Rex SunderlandG3326.94.73.53.240.815.6%331.3633 games8433 games
Raymond Espinal-GuzmanF3324.16.35.11.345.918.2%330.8333 games7633 games
Ridvan TuticF3022.57.17.81.059.016.9%300.7830 games030 games
Ethan MeuserF2020.46.15.21.247.819.6%201.0920 games6020 games
Trenton RuthG3211.43.41.11.241.421.9%321.7032 games5032 games
Pearse McGuinnF259.32.71.60.349.218.1%250.4725 games1625 games
Anthony HoldenG2010.02.40.90.459.411.3%202.0020 games2820 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 Stonehill?

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.

16Source-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
Guard114,5234,523100%
Forward52,1772,177100%
Center0

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 →

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

PlayerObservationPrior MPGPrior PPGPrior TS%
Hermann KoffiGSame programStonehill Skyhawks35.412.854.2%
Davante HackettGSame programStonehill Skyhawks27.713.654.3%
Chas StinsonGSame programStonehill Skyhawks27.911.352.2%
Rex SunderlandGSame programStonehill Skyhawks26.94.740.8%
Raymond Espinal-GuzmanFSame programStonehill Skyhawks24.16.345.9%
Ridvan TuticFSame programStonehill Skyhawks22.57.159.0%
Ethan MeuserFSame programStonehill Skyhawks20.46.147.8%
Trenton RuthGSame programStonehill Skyhawks11.43.441.4%
Pearse McGuinnFSame programStonehill Skyhawks9.32.749.2%
Anthony HoldenGSame programStonehill Skyhawks10.02.459.4%
William BatchelderGSame programStonehill Skyhawks27.310.355.7%
Cory LovellFSame programStonehill Skyhawks5.90.637.1%

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.

Look ahead / 2026–27

The next assignments.

Full published slate →

Checking the live schedule edition…

ON THE SCHEDULENov 5, 2026 · TIME TBD

Stonehill vs Fordham

60.5Stonehill
72.6Fordham
Fordham win estimate81.6%
Model signalStrong lean
Projected home margin12.1
Projected total133.2
80% home-margin range-3.8 to 28.0
Estimated possessions66.9
Why the model tiltsfour-factor edge
Shot qualityHome 0.6 pts
Fordham attack 49.0% · Stonehill defense 51.1%
Stonehill attack 48.2% · Fordham defense 50.9%
Ball securityAway 1.2 pts
Fordham attack 17.9% · Stonehill defense 15.2%
Stonehill attack 18.8% · Fordham defense 17.3%
Second chancesHome 5.0 pts
Fordham attack 32.0% · Stonehill defense 29.7%
Stonehill attack 25.5% · Fordham defense 28.2%
Free-throw pressureHome 6.6 pts
Fordham attack 32.3% · Stonehill defense 32.8%
Stonehill attack 29.5% · Fordham defense 36.6%
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).

Rose Hill Gym
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 1, 2026 · TIME TBD

Stonehill vs Providence

62.3Stonehill
83.0Providence
Providence win estimate91.9%
Model signalStrong lean
Projected home margin20.7
Projected total145.3
80% home-margin range4.8 to 36.6
Estimated possessions69.0
Why the model tiltsfour-factor edge
Shot qualityHome 4.2 pts
Providence attack 54.2% · Stonehill defense 51.1%
Stonehill attack 48.2% · Providence defense 49.3%
Ball securityHome 1.5 pts
Providence attack 17.3% · Stonehill defense 15.2%
Stonehill attack 18.8% · Providence defense 15.2%
Second chancesHome 5.1 pts
Providence attack 31.9% · Stonehill defense 29.7%
Stonehill attack 25.5% · Providence defense 28.4%
Free-throw pressureHome 6.4 pts
Providence attack 36.3% · Stonehill defense 32.8%
Stonehill attack 29.5% · Providence defense 32.3%
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).

Amica Mutual Pavilion
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 19, 2026 · TIME TBD

Stonehill vs UMass

64.3Stonehill
77.4UMass
UMass win estimate83.2%
Model signalStrong lean
Projected home margin13.1
Projected total141.7
80% home-margin range-2.8 to 29.0
Estimated possessions69.6
Why the model tiltsfour-factor edge
Shot qualityHome 2.0 pts
UMass attack 49.9% · Stonehill defense 51.1%
Stonehill attack 48.2% · UMass defense 51.4%
Ball securityAway 0.9 pts
UMass attack 17.5% · Stonehill defense 15.2%
Stonehill attack 18.8% · UMass defense 17.3%
Second chancesHome 6.8 pts
UMass attack 33.2% · Stonehill defense 29.7%
Stonehill attack 25.5% · UMass defense 28.7%
Free-throw pressureHome 14.5 pts
UMass attack 36.6% · Stonehill defense 32.8%
Stonehill attack 29.5% · UMass defense 40.2%
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).

Mullins Center
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 →