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

Ohio State

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

Independent preseason modelNo.25

+18.8 adjusted net
per 100 estimated possessions

21132025–26 recorded finals
119.1Adjusted offense · 2026–27 baseline
100.3Adjusted defense · lower is better
67.5Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on Ohio State.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

211334 recorded games · 34 paired efficiency samples · pace 66.4Mean opponent adj. net 12.2 · 34 rated opponents
Offense

Effective FG%

56.2%34 games · higher is betterRank 23 / 366 · 94th favorable percentile
Defense

Opponent effective FG%

50.2%34 games · lower is betterRank 142 / 366 · 61th favorable percentile
Offense

Turnover rate

15.3%34 games · lower is betterRank 94 / 366 · 75th favorable percentile
Defense

Turnovers forced

15.6%34 games · higher is betterRank 261 / 366 · 29th favorable percentile
Offense

Offensive rebound rate

30.4%34 games · higher is betterRank 208 / 366 · 43th favorable percentile
Defense

Opponent offensive rebound rate

30.0%34 games · lower is betterRank 183 / 366 · 50th favorable percentile
Offense

Free-throw attempt rate

37.2%34 games · higher is betterRank 113 / 366 · 69th favorable percentile
Defense

Opponent free-throw attempt rate

34.7%34 games · lower is betterRank 188 / 366 · 49th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency118.134Points per 100 estimated possessions.
Defensive efficiency108.134Opponent points per 100 estimated possessions.
Two-point FG%58.0%34(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%51.9%34Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%35.7%343PM / 3PA.
Opponent three-point FG%31.9%34Opponent 3PM / 3PA.
Three-point attempt share40.1%343PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share40.3%34Opponent 3PA / FGA; a style measure.
Free-throw accuracy77.7%34FTM / FTA.
Opponent free-throw accuracy74.1%34Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share52.6%34Assists / FGM; describes recorded ball movement.
Opponent assisted FG share53.3%34Opponent 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 →
1.184
Points / source possession
66.91
Source possessions / game
19.1%
Transition share
21.5%
Assisted share
1.6%
Garbage-time share

2,275 source possession rows across 34 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

Effective FG%

56.2% · rank 23 of 366 · 34 games

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

A relative strength

Turnover rate

15.3% · rank 94 of 366 · 34 games

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

A closer look

Offensive rebound rate

30.4% · rank 208 of 366 · 34 games

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

A closer look

Turnovers forced

15.6% · rank 261 of 366 · 34 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 10 times in the selected window; Ohio State 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.60115170OldestNewest

Mar 19, 2026 · neutral vs TCU · L 64–66 · offense 102.5 / defense 105.7

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 · 34 games
Game / venueResultCurrent opponent rankOff. eff.Def. eff.PaceeFG%TO%ORB%
TCUMar 19, 2026 · neutralL 646648102.5105.762.447.411.218.8
MichiganMar 13, 2026 · neutralL 67716100.0106.067.044.814.926.3
IowaMar 12, 2026 · neutralW 726928124.1118.958.061.715.522.7
IndianaMar 7, 2026 · homeW 917844134.0114.867.970.416.220.0
Penn StateMar 5, 2026 · roadW 9462103145.195.764.882.418.527.8
PurdueMar 1, 2026 · homeW 82749133.4120.461.560.611.434.5
IowaFeb 26, 2026 · roadL 57742897.4126.458.550.018.817.2
Michigan StFeb 22, 2026 · roadL 60661398.4108.261.048.18.212.5
WisconsinFeb 18, 2026 · homeW 866921125.0100.368.864.020.339.3
VirginiaFeb 15, 2026 · neutralL 667035100.4106.565.750.012.217.1
USCFeb 11, 2026 · homeW 898272121.5111.973.356.016.433.3
MichiganFeb 8, 2026 · homeL 6182692.5124.366.042.718.225.0
MarylandFeb 6, 2026 · roadW 826263131.999.762.265.312.934.6
WisconsinJan 31, 2026 · roadL 829221116.7130.970.347.810.033.3
Penn StateJan 27, 2026 · homeW 8478103122.7113.968.563.013.118.5
MichiganJan 24, 2026 · roadL 6274695.3113.765.147.520.033.3
MinnesotaJan 20, 2026 · homeW 827491116.8105.462.453.114.237.1
UCLAJan 17, 2026 · homeW 867427137.7118.562.561.316.048.0
WashingtonJan 11, 2026 · roadL 748166114.7125.564.548.417.045.9
OregonJan 9, 2026 · roadW 726261114.898.962.750.919.143.3
NebraskaJan 5, 2026 · homeL 697224101.3105.768.153.511.711.8
RutgersJan 3, 2026 · roadW 8073107129.0117.762.058.719.450.0
GramblingDec 23, 2025 · homeW 8963307133.094.266.968.020.942.9
North CarolinaDec 20, 2025 · neutralL 707122108.4109.964.642.99.332.5
West VirginiaDec 14, 2025 · neutralW 898852107.9106.766.047.214.532.6
IllinoisDec 10, 2025 · homeL 80887115.0126.569.653.38.620.0
NorthwesternDec 6, 2025 · roadW 868253120.2114.671.560.715.430.0
PittNov 29, 2025 · roadL 666771101.0102.565.449.119.928.1
Mount St MarysNov 25, 2025 · homeW 11360264154.281.973.375.810.933.3
W MichiganNov 21, 2025 · homeW 9158295125.580.072.556.216.547.2
Notre DameNov 16, 2025 · homeW 646311495.994.466.745.015.012.1
App StateNov 11, 2025 · homeW 7553151123.086.961.047.26.635.1
Purdue FWNov 7, 2025 · homeW 9468210129.493.672.682.426.228.6
IU IndyNov 3, 2025 · homeW 118102339137.5118.885.870.419.845.8
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
Bruce ThorntonG3436.619.95.13.966.523.6%343.0234 games15534 games
Devin RoyalF3232.513.75.71.657.722.1%320.9632 games9832 games
John Mobley Jr.G3131.615.72.42.860.424.8%311.5331 games23631 games
Amare BynumF3428.59.74.91.158.217.7%340.9734 games9134 games
Christoph TillyC3226.011.04.72.356.722.8%321.5132 games5632 games
Gabe CuppsG3312.21.71.11.150.99.8%331.7133 games2733 games
Taison ChatmanG2812.94.31.20.862.717.6%281.1028 games5128 games
Ivan NjegovanC3011.42.63.00.761.012.9%301.1130 games330 games
Brandon NoelF1618.96.63.70.966.116.1%160.8816 games1516 games
Colin WhiteF298.80.91.00.441.27.4%292.4029 games1829 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 Ohio State?

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.

13Source-listed players
11Same-program prior records
0Different-program records
70%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
Guard71,8891,889100%
Forward52,5672,567100%
Center1343343100%

0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (4,799 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 →

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

PlayerObservationPrior MPGPrior PPGPrior TS%
Devin RoyalFSame programOhio State Buckeyes32.513.757.7%
John Mobley Jr.GSame programOhio State Buckeyes31.615.760.4%
Amare BynumFSame programOhio State Buckeyes28.59.758.2%
Gabe CuppsGSame programOhio State Buckeyes12.21.750.9%
Taison ChatmanGSame programOhio State Buckeyes12.94.362.7%
Ivan NjegovanCSame programOhio State Buckeyes11.42.661.0%
Brandon NoelFSame programOhio State Buckeyes18.96.666.1%
Colin WhiteFSame programOhio State Buckeyes8.80.941.2%
Puff JohnsonGSame programOhio State Buckeyes11.42.347.1%
Mathieu GrujicicGSame programOhio State Buckeyes5.51.026.5%
Braylen NashGSame programOhio State Buckeyes1.60.0
Josh OjianwunaFNo prior appearance observedNo prior program listed

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…

NEUTRAL FLOORDec 19, 12:00 PM ET

Ohio State vs Kansas

71.7Ohio State
73.7Kansas
Kansas win estimate59.6%
Model signalToss-up
Projected home margin2.1
Projected total145.4
80% home-margin range-13.9 to 18.0
Estimated possessions68.1
Why the model tiltsfour-factor edge
Shot qualityAway 4.1 pts
Kansas attack 53.9% · Ohio State defense 48.1%
Ohio State attack 55.3% · Kansas defense 45.2%
Ball securityHome 0.4 pts
Kansas attack 15.7% · Ohio State defense 16.8%
Ohio State attack 15.6% · Kansas defense 16.3%
Second chancesAway 3.2 pts
Kansas attack 30.4% · Ohio State defense 28.6%
Ohio State attack 31.3% · Kansas defense 26.3%
Free-throw pressureAway 11.2 pts
Kansas attack 32.2% · Ohio State defense 34.5%
Ohio State attack 38.0% · Kansas defense 29.2%
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).

Madison Square Garden
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 →