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

Rutgers

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

Independent preseason modelNo.107

+6.0 adjusted net
per 100 estimated possessions

14202025–26 recorded finals
108.9Adjusted offense · 2026–27 baseline
102.8Adjusted defense · lower is better
68.3Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on Rutgers.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

142034 recorded games · 34 paired efficiency samples · pace 66.7Mean opponent adj. net 10.3 · 34 rated opponents
Offense

Effective FG%

47.2%34 games · higher is betterRank 344 / 366 · 6th favorable percentile
Defense

Opponent effective FG%

53.0%34 games · lower is betterRank 289 / 366 · 21th favorable percentile
Offense

Turnover rate

15.0%34 games · lower is betterRank 66 / 366 · 82th favorable percentile
Defense

Turnovers forced

17.1%34 games · higher is betterRank 160 / 366 · 56th favorable percentile
Offense

Offensive rebound rate

29.7%34 games · higher is betterRank 229 / 366 · 38th favorable percentile
Defense

Opponent offensive rebound rate

32.8%34 games · lower is betterRank 305 / 366 · 17th favorable percentile
Offense

Free-throw attempt rate

36.3%34 games · higher is betterRank 149 / 366 · 59th favorable percentile
Defense

Opponent free-throw attempt rate

31.7%34 games · lower is betterRank 108 / 366 · 71th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency104.534Points per 100 estimated possessions.
Defensive efficiency111.634Opponent points per 100 estimated possessions.
Two-point FG%46.5%34(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%52.8%34Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%32.4%343PM / 3PA.
Opponent three-point FG%35.6%34Opponent 3PM / 3PA.
Three-point attempt share34.2%343PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share39.2%34Opponent 3PA / FGA; a style measure.
Free-throw accuracy74.1%34FTM / FTA.
Opponent free-throw accuracy75.6%34Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share50.1%34Assists / FGM; describes recorded ball movement.
Opponent assisted FG share58.5%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 →
1.040
Points / source possession
67.91
Source possessions / game
19.8%
Transition share
17.9%
Assisted share
3.2%
Garbage-time share

2,309 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

Turnover rate

15.0% · rank 66 of 366 · 34 games

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

A relative strength

Opponent free-throw attempt rate

31.7% · rank 108 of 366 · 34 games

Which defenders can protect the paint without surrendering free throws?

A closer look

Opponent offensive rebound rate

32.8% · rank 305 of 366 · 34 games

Which matchups demand an extra box-out assignment?

A closer look

Effective FG%

47.2% · rank 344 of 366 · 34 games

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

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; Rutgers 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.60115170OldestNewest

Apr 3, 2026 · neutral vs Creighton · L 69–82 · offense 92.8 / defense 110.3

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%
CreightonApr 3, 2026 · neutralL 69824792.8110.374.438.510.827.3
UCLAMar 13, 2026 · neutralL 59722785.7104.668.843.118.920.0
MinnesotaMar 12, 2026 · neutralW 726791112.7104.963.955.615.727.6
Penn StateMar 8, 2026 · homeW 7462103106.889.569.349.210.119.4
Michigan StMar 6, 2026 · roadL 879113120.6126.172.155.411.123.5
MarylandMar 1, 2026 · roadW 69656398.292.570.343.18.512.8
WashingtonFeb 24, 2026 · homeL 727966102.0111.970.642.29.922.9
MinnesotaFeb 21, 2026 · roadL 618091104.2136.658.650.912.018.8
Penn StateFeb 18, 2026 · roadW 8572103124.7105.668.261.317.625.0
MarylandFeb 15, 2026 · homeW 685763105.088.064.846.215.428.1
NebraskaFeb 7, 2026 · homeL 68802499.7117.368.254.522.024.2
UCLAFeb 4, 2026 · roadL 669827104.7155.563.050.014.330.6
USCFeb 1, 2026 · roadL 757872106.4110.770.544.611.437.8
Michigan StJan 27, 2026 · homeL 798813110.3122.863.748.47.015.8
IndianaJan 23, 2026 · homeL 598244100.0139.059.040.58.523.7
IowaJan 21, 2026 · roadL 62682896.1105.464.548.929.534.6
WisconsinJan 17, 2026 · roadL 879621119.3131.772.957.113.734.4
NorthwesternJan 11, 2026 · homeW 777553108.8105.962.945.38.531.0
IllinoisJan 9, 2026 · roadL 5581785.4125.864.441.310.921.4
OregonJan 6, 2026 · homeW 888561119.1115.165.748.39.527.0
Ohio StateJan 3, 2026 · homeL 738025117.7129.062.046.912.947.4
Delaware StDec 30, 2025 · homeW 655035996.874.467.236.025.350.0
PennDec 21, 2025 · homeW 7069203102.5101.068.343.88.821.1
Seton HallDec 14, 2025 · roadL 59817887.3119.967.641.526.640.5
MichiganDec 6, 2025 · roadL 60101682.5138.972.740.322.032.6
PurdueDec 3, 2025 · homeL 65819100.2124.964.951.813.919.4
UNLVNov 27, 2025 · neutralW 8065111115.493.769.445.614.437.8
Notre DameNov 25, 2025 · neutralL 6368114101.3109.462.250.022.531.4
TennesseeNov 24, 2025 · neutralL 60851189.9127.466.742.321.028.2
C ConnecticutNov 21, 2025 · homeL 546726086.8107.762.240.516.126.3
AmericanNov 18, 2025 · homeW 8071247113.6100.870.552.815.630.0
LehighNov 14, 2025 · homeW 8472291119.6102.570.253.314.242.4
MaineNov 10, 2025 · homeW 7260306112.593.864.054.021.945.2
RiderNov 5, 2025 · homeW 8153342121.679.666.646.910.544.4
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
Tariq FrancisG3427.817.02.32.955.830.5%342.4834 games14834 games
Jamichael DavisG3426.27.52.92.551.715.9%343.1934 games8134 games
Dylan GrantF3424.19.54.20.553.221.6%340.4634 games7234 games
Darren Buchanan Jr.G3424.08.13.91.751.020.3%341.2434 games3434 games
Harun ZrnoG3419.06.51.60.651.919.7%340.5934 games15434 games
Emmanuel OgboleC3419.04.76.00.459.413.7%340.3234 games034 games
Lino MarkG3315.95.91.81.248.522.6%331.3833 games4333 games
Kaden PowersG2915.76.11.81.543.626.9%291.4729 games8629 games
Bryce DortchF3114.52.13.20.159.97.6%310.3331 games031 games
Chris NwuliF3010.12.21.50.448.814.5%300.5830 games1130 games
Denis BadalauF2412.53.11.70.939.818.3%241.6224 games4724 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 Rutgers?

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
13Same-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
Guard84,2794,279100%
Forward41,8701,870100%
Center3726726100%

0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (6,875 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%
Tariq FrancisGSame programRutgers Scarlet Knights27.817.055.8%
Jamichael DavisGSame programRutgers Scarlet Knights26.27.551.7%
Dylan GrantFSame programRutgers Scarlet Knights24.19.553.2%
Darren Buchanan Jr.GSame programRutgers Scarlet Knights24.08.151.0%
Harun ZrnoGSame programRutgers Scarlet Knights19.06.551.9%
Emmanuel OgboleCSame programRutgers Scarlet Knights19.04.759.4%
Lino MarkGSame programRutgers Scarlet Knights15.95.948.5%
Kaden PowersGSame programRutgers Scarlet Knights15.76.143.6%
Bryce DortchFSame programRutgers Scarlet Knights14.52.159.9%
Chris NwuliFSame programRutgers Scarlet Knights10.12.248.8%
Denis BadalauFSame programRutgers Scarlet Knights12.53.139.8%
Baye FallCSame programRutgers Scarlet Knights5.10.636.0%

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 SCHEDULEDec 20, 2026 · TIME TBD

Army vs Rutgers

62.7Army
80.3Rutgers
Rutgers win estimate89.0%
Model signalStrong lean
Projected home margin17.6
Projected total143.1
80% home-margin range1.7 to 33.5
Estimated possessions67.7
Why the model tiltsfour-factor edge
Shot qualityAway 2.9 pts
Rutgers attack 49.6% · Army defense 53.6%
Army attack 49.0% · Rutgers defense 50.1%
Ball securityAway 1.2 pts
Rutgers attack 15.7% · Army defense 15.7%
Army attack 17.5% · Rutgers defense 18.6%
Second chancesHome 4.3 pts
Rutgers attack 30.9% · Army defense 29.6%
Army attack 27.8% · Rutgers defense 30.7%
Free-throw pressureHome 3.3 pts
Rutgers attack 37.3% · Army defense 36.2%
Army attack 29.4% · Rutgers defense 31.6%
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).

Jersey Mike’s 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 →