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

Northwestern

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

Independent preseason modelNo.53

+12.9 adjusted net
per 100 estimated possessions

15192025–26 recorded finals
114.0Adjusted offense · 2026–27 baseline
101.1Adjusted defense · lower is better
66.1Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on Northwestern.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

151934 recorded games · 34 paired efficiency samples · pace 65.3Mean opponent adj. net 11.3 · 34 rated opponents
Offense

Effective FG%

51.7%34 games · higher is betterRank 185 / 366 · 50th favorable percentile
Defense

Opponent effective FG%

51.0%34 games · lower is betterRank 184 / 366 · 50th favorable percentile
Offense

Turnover rate

13.0%34 games · lower is betterRank 7 / 366 · 98th favorable percentile
Defense

Turnovers forced

17.5%34 games · higher is betterRank 132 / 366 · 64th favorable percentile
Offense

Offensive rebound rate

28.1%34 games · higher is betterRank 285 / 366 · 22th favorable percentile
Defense

Opponent offensive rebound rate

34.7%34 games · lower is betterRank 344 / 366 · 6th favorable percentile
Offense

Free-throw attempt rate

33.9%34 games · higher is betterRank 212 / 366 · 42th favorable percentile
Defense

Opponent free-throw attempt rate

34.8%34 games · lower is betterRank 192 / 366 · 48th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency111.634Points per 100 estimated possessions.
Defensive efficiency109.834Opponent points per 100 estimated possessions.
Two-point FG%52.9%34(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%51.6%34Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%33.0%343PM / 3PA.
Opponent three-point FG%33.4%34Opponent 3PM / 3PA.
Three-point attempt share34.0%343PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share40.2%34Opponent 3PA / FGA; a style measure.
Free-throw accuracy75.1%34FTM / FTA.
Opponent free-throw accuracy74.1%34Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share65.8%34Assists / FGM; describes recorded ball movement.
Opponent assisted FG share63.8%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 →
1.119
Points / source possession
65.35
Source possessions / game
19.4%
Transition share
26.4%
Assisted share
2.4%
Garbage-time share

2,222 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

13.0% · rank 7 of 366 · 34 games

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

A relative strength

Turnovers forced

17.5% · rank 132 of 366 · 34 games

Which defensive actions produce takeaways, and what shots do they concede?

A closer look

Offensive rebound rate

28.1% · rank 285 of 366 · 34 games

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

A closer look

Opponent offensive rebound rate

34.7% · rank 344 of 366 · 34 games

Which matchups demand an extra box-out assignment?

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 12 times in the selected window; Northwestern 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 12, 2026 · neutral vs Purdue · L 68–81 · offense 114.4 / defense 136.3

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%
PurdueMar 12, 2026 · neutralL 68819114.4136.359.458.515.126.9
IndianaMar 11, 2026 · neutralW 746144121.9100.560.753.79.926.7
Penn StateMar 10, 2026 · neutralW 7666103119.6103.963.656.612.637.0
MinnesotaMar 8, 2026 · roadL 666791119.7121.555.150.914.540.6
PurdueMar 5, 2026 · homeL 66709114.9121.857.558.512.216.7
OregonFeb 28, 2026 · homeW 63626198.997.363.748.218.834.4
IndianaFeb 25, 2026 · roadW 726844117.8111.361.153.714.737.9
MarylandFeb 19, 2026 · homeW 787463118.3112.265.959.612.120.7
NebraskaFeb 14, 2026 · roadL 49682476.0105.564.543.024.818.2
MichiganFeb 12, 2026 · homeL 75876100.4116.474.744.310.728.6
IowaFeb 8, 2026 · roadL 707628112.7122.462.155.616.112.5
IllinoisFeb 5, 2026 · roadL 4484769.5132.863.332.31.613.3
WashingtonFeb 1, 2026 · homeL 62766695.1116.665.243.016.925.6
Penn StateJan 30, 2026 · homeW 9473103138.5107.567.969.813.333.3
UCLAJan 24, 2026 · roadL 64712799.6110.564.244.314.023.5
USCJan 22, 2026 · roadW 746872109.6100.867.547.68.922.9
NebraskaJan 17, 2026 · homeL 58772496.8128.559.947.218.429.0
IllinoisJan 15, 2026 · homeL 68797114.4132.959.447.311.840.6
RutgersJan 11, 2026 · roadL 7577107105.9108.862.946.08.524.4
Michigan StJan 8, 2026 · roadL 66761398.4113.367.143.18.920.5
MinnesotaJan 3, 2026 · homeL 788491118.3127.465.954.46.116.7
HowardDec 30, 2025 · homeW 8060223125.794.263.751.87.936.1
ButlerDec 20, 2025 · neutralL 58618286.691.167.039.113.424.3
ValparaisoDec 17, 2025 · homeW 8670191125.6102.368.558.210.234.4
Jackson StDec 13, 2025 · homeW 9353345127.972.972.756.313.834.4
Ohio StateDec 6, 2025 · homeL 828625114.6120.271.554.119.639.4
WisconsinDec 4, 2025 · roadL 738521105.1122.469.445.817.335.5
Oklahoma StNov 28, 2025 · homeL 818688111.8118.772.552.713.827.3
South CarolinaNov 23, 2025 · neutralW 797799123.7120.563.963.215.721.7
VirginiaNov 21, 2025 · neutralL 788335110.2117.370.852.69.917.6
DePaulNov 15, 2025 · roadW 8179134119.8116.867.665.016.325.0
Cleveland StNov 11, 2025 · homeW 11063267149.085.473.868.49.539.3
Boston UNov 7, 2025 · homeW 7652270126.186.360.357.58.333.3
MercyhurstNov 4, 2025 · homeW 7047305103.569.567.641.317.739.5
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
Nick MartinelliF3335.623.06.22.060.231.3%331.4033 games10833 games
Jayden ReidG3425.810.11.45.050.424.9%342.7134 games10134 games
Tre SingletonF3425.07.64.81.554.717.1%341.4734 games5434 games
Angelo CiaravinoG3322.06.33.91.255.414.9%333.1533 games4333 games
Jake WestG3321.85.30.82.852.215.3%332.8533 games7733 games
Arrinten PageF2922.810.24.51.859.323.0%291.4729 games4429 games
Jordan ClaytonG3118.33.91.71.457.611.3%313.0031 games7831 games
Tyler KroppF3111.93.12.10.353.214.7%310.9031 games1131 games
Max GreenG2314.84.31.81.048.817.1%232.8823 games6823 games
Justin MullinsG2413.53.21.60.853.114.4%241.3624 games3124 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 Northwestern?

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
12Same-program prior records
0Different-program records
83%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
Guard93,7653,765100%
Forward51,8841,884100%
Center0

0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (5,649 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%
Jayden ReidGSame programNorthwestern Wildcats25.810.150.4%
Tre SingletonFSame programNorthwestern Wildcats25.07.654.7%
Angelo CiaravinoGSame programNorthwestern Wildcats22.06.355.4%
Jake WestGSame programNorthwestern Wildcats21.85.352.2%
Arrinten PageFSame programNorthwestern Wildcats22.810.259.3%
Jordan ClaytonGSame programNorthwestern Wildcats18.33.957.6%
Tyler KroppFSame programNorthwestern Wildcats11.93.153.2%
Max GreenGSame programNorthwestern Wildcats14.84.348.8%
Justin MullinsGSame programNorthwestern Wildcats13.53.253.1%
K.J. WindhamGSame programNorthwestern Wildcats13.33.850.7%
Phoenix GillGSame programNorthwestern Wildcats3.50.525.3%
Gus HurlburtFSame programNorthwestern Wildcats2.02.0102.6%

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 13, 2026 · TIME TBD

DePaul vs Northwestern

64.2DePaul
74.3Northwestern
Northwestern win estimate78.0%
Model signalStrong lean
Projected home margin10.1
Projected total138.5
80% home-margin range-5.9 to 26.0
Estimated possessions65.7
Why the model tiltsfour-factor edge
Shot qualityAway 0.9 pts
Northwestern attack 52.2% · DePaul defense 50.9%
DePaul attack 51.5% · Northwestern defense 49.3%
Ball securityHome 2.0 pts
Northwestern attack 14.2% · DePaul defense 17.4%
DePaul attack 17.9% · Northwestern defense 19.1%
Second chancesHome 2.2 pts
Northwestern attack 29.5% · DePaul defense 29.6%
DePaul attack 28.1% · Northwestern defense 30.4%
Free-throw pressureHome 1.6 pts
Northwestern attack 35.1% · DePaul defense 34.7%
DePaul attack 34.2% · Northwestern defense 35.3%
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).

Welsh-Ryan 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 →