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

Wisconsin

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

Independent preseason modelNo.21

+20.9 adjusted net
per 100 estimated possessions

24112025–26 recorded finals
120.4Adjusted offense · 2026–27 baseline
99.5Adjusted defense · lower is better
68.5Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on Wisconsin.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

241135 recorded games · 35 paired efficiency samples · pace 69.0Mean opponent adj. net 12.6 · 35 rated opponents
Offense

Effective FG%

54.5%35 games · higher is betterRank 63 / 366 · 83th favorable percentile
Defense

Opponent effective FG%

51.4%35 games · lower is betterRank 205 / 366 · 44th favorable percentile
Offense

Turnover rate

12.8%35 games · lower is betterRank 6 / 366 · 99th favorable percentile
Defense

Turnovers forced

14.3%35 games · higher is betterRank 335 / 366 · 8th favorable percentile
Offense

Offensive rebound rate

29.1%35 games · higher is betterRank 257 / 366 · 30th favorable percentile
Defense

Opponent offensive rebound rate

28.2%35 games · lower is betterRank 94 / 366 · 75th favorable percentile
Offense

Free-throw attempt rate

31.5%35 games · higher is betterRank 267 / 366 · 27th favorable percentile
Defense

Opponent free-throw attempt rate

29.8%35 games · lower is betterRank 65 / 366 · 82th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency118.635Points per 100 estimated possessions.
Defensive efficiency108.835Opponent points per 100 estimated possessions.
Two-point FG%54.7%35(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%52.2%35Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%36.2%353PM / 3PA.
Opponent three-point FG%33.4%35Opponent 3PM / 3PA.
Three-point attempt share52.1%353PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share40.6%35Opponent 3PA / FGA; a style measure.
Free-throw accuracy78.8%35FTM / FTA.
Opponent free-throw accuracy72.8%35Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share57.3%35Assists / FGM; describes recorded ball movement.
Opponent assisted FG share50.8%35Opponent 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 →
1.186
Points / source possession
69.83
Source possessions / game
21.6%
Transition share
22.8%
Assisted share
3.6%
Garbage-time share

2,444 source possession rows across 35 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

12.8% · rank 6 of 366 · 35 games

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

A relative strength

Effective FG%

54.5% · rank 63 of 366 · 35 games

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

A closer look

Free-throw attempt rate

31.5% · rank 267 of 366 · 35 games

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

A closer look

Turnovers forced

14.3% · rank 335 of 366 · 35 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; Wisconsin 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 19, 2026 · neutral vs High Point · L 82–83 · offense 112.3 / defense 113.7

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 · 35 games
Game / venueResultCurrent opponent rankOff. eff.Def. eff.PaceeFG%TO%ORB%
High PointMar 19, 2026 · neutralL 828380112.3113.773.054.613.718.2
MichiganMar 14, 2026 · neutralL 6568696.2100.767.550.816.318.9
IllinoisMar 13, 2026 · neutralW 91887121.0117.066.850.09.328.9
WashingtonMar 12, 2026 · neutralW 858266128.5124.066.255.89.132.4
PurdueMar 7, 2026 · roadW 97939147.6141.565.773.112.228.0
MarylandMar 5, 2026 · homeW 784563135.077.957.859.85.222.6
WashingtonFeb 28, 2026 · roadW 907366127.7103.670.557.48.531.6
OregonFeb 26, 2026 · roadL 718561102.5122.869.243.917.334.8
IowaFeb 22, 2026 · homeW 847128130.5110.364.463.512.420.0
Ohio StateFeb 18, 2026 · roadL 698625100.3125.068.851.717.429.4
Michigan StFeb 14, 2026 · homeW 927113134.8104.068.360.58.831.4
IllinoisFeb 11, 2026 · roadW 92907125.4122.765.253.95.531.8
IndianaFeb 7, 2026 · roadL 777844112.6114.060.846.510.235.0
Ohio StateJan 31, 2026 · homeW 928225130.9116.770.358.97.123.3
MinnesotaJan 29, 2026 · homeW 676391105.098.763.853.120.416.7
USCJan 25, 2026 · homeL 717372110.6113.764.241.09.339.1
Penn StateJan 23, 2026 · roadW 9871103138.0100.071.061.39.936.8
RutgersJan 17, 2026 · homeW 9687107131.7119.372.958.312.326.7
MinnesotaJan 14, 2026 · roadW 787591121.0116.364.558.210.920.7
MichiganJan 10, 2026 · roadW 91886126.1121.972.262.913.925.8
UCLAJan 7, 2026 · homeW 807227112.1100.971.454.511.218.8
PurdueJan 4, 2026 · homeL 73899101.8124.171.745.615.330.3
MilwaukeeDec 31, 2025 · homeW 8060218107.380.474.652.612.120.6
C MichiganDec 23, 2025 · homeW 8861266130.990.867.265.713.431.0
VillanovaDec 20, 2025 · neutralL 66763695.8110.361.253.623.221.2
NebraskaDec 11, 2025 · roadL 60902486.1129.269.739.815.826.8
MarquetteDec 6, 2025 · homeW 967646122.496.978.459.015.324.2
NorthwesternDec 4, 2025 · homeW 857353122.4105.169.452.310.133.3
TCUNov 28, 2025 · neutralL 63744885.099.974.140.522.921.6
ProvidenceNov 27, 2025 · neutralW 1048373127.2101.581.857.19.832.6
BYUNov 21, 2025 · roadL 70981993.9131.474.643.416.125.6
SIUENov 18, 2025 · homeW 9469231141.8104.166.356.26.037.8
Ball StateNov 12, 2025 · homeW 8655273125.880.468.460.921.946.9
N IllinoisNov 8, 2025 · homeW 9772344131.797.873.756.612.241.7
CampbellNov 4, 2025 · homeW 9664208135.190.171.159.012.738.2
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
John BlackwellG3433.819.15.12.359.326.7%341.3934 games24734 games
Nick BoydG3532.020.73.84.358.830.7%352.5335 games16735 games
Nolan WinterF3130.713.18.51.564.817.9%311.9231 games9531 games
Andrew RohdeG3426.55.72.12.950.013.0%342.6534 games13234 games
Aleksas BieliauskasF3520.14.94.40.954.013.5%351.0735 games8135 games
Austin RappF3023.29.74.01.657.819.9%301.8830 games16030 games
Braeden CarringtonG3418.08.32.41.160.320.8%342.0034 games17234 games
Jack JanickiG2616.52.22.01.143.09.6%261.9326 games4726 games
Will GarlockF306.71.11.10.763.78.9%301.8230 games030 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 Wisconsin?

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.

14Source-listed players
13Same-program prior records
0Different-program records
84%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
Guard73,3793,379100%
Forward72,6022,602100%
Center0

0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (5,981 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 →

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

PlayerObservationPrior MPGPrior PPGPrior TS%
John BlackwellGSame programWisconsin Badgers33.819.159.3%
Nolan WinterFSame programWisconsin Badgers30.713.164.8%
Andrew RohdeGSame programWisconsin Badgers26.55.750.0%
Aleksas BieliauskasFSame programWisconsin Badgers20.14.954.0%
Austin RappFSame programWisconsin Badgers23.29.757.8%
Braeden CarringtonGSame programWisconsin Badgers18.08.360.3%
Jack JanickiGSame programWisconsin Badgers16.52.243.0%
Will GarlockFSame programWisconsin Badgers6.71.163.7%
Hayden JonesGSame programWisconsin Badgers7.21.761.7%
Zach KinzigerGSame programWisconsin Badgers5.51.540.5%
Jack RobisonFSame programWisconsin Badgers2.01.190.2%
Riccardo GreppiFSame programWisconsin Badgers1.30.00.0%

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 5, 2026 · TIME TBD

Wisconsin vs Marquette

76.4Wisconsin
75.4Marquette
Marquette win estimate51.4%
Model signalToss-up
Projected home margin-1.0
Projected total151.7
80% home-margin range-16.9 to 15.0
Estimated possessions69.6
Why the model tiltsfour-factor edge
Shot qualityAway 0.8 pts
Marquette attack 53.5% · Wisconsin defense 48.9%
Wisconsin attack 54.7% · Marquette defense 49.3%
Ball securityAway 5.7 pts
Marquette attack 15.2% · Wisconsin defense 16.1%
Wisconsin attack 13.9% · Marquette defense 20.5%
Second chancesHome 5.5 pts
Marquette attack 29.7% · Wisconsin defense 25.6%
Wisconsin attack 29.3% · Marquette defense 30.7%
Free-throw pressureAway 2.6 pts
Marquette attack 31.6% · Wisconsin defense 29.8%
Wisconsin attack 35.5% · Marquette defense 31.2%
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).

Fiserv Forum
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 →