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

Lehigh

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

Independent preseason modelNo.291

-9.2 adjusted net
per 100 estimated possessions

18172025–26 recorded finals
100.7Adjusted offense · 2026–27 baseline
109.9Adjusted defense · lower is better
68.2Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on Lehigh.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

181735 recorded games · 35 paired efficiency samples · pace 67.0Mean opponent adj. net -6.5 · 33 rated opponents
Offense

Effective FG%

53.1%35 games · higher is betterRank 115 / 366 · 69th favorable percentile
Defense

Opponent effective FG%

49.8%35 games · lower is betterRank 114 / 366 · 69th favorable percentile
Offense

Turnover rate

17.7%35 games · lower is betterRank 261 / 366 · 29th favorable percentile
Defense

Turnovers forced

16.3%35 games · higher is betterRank 219 / 366 · 40th favorable percentile
Offense

Offensive rebound rate

23.9%35 games · higher is betterRank 351 / 366 · 4th favorable percentile
Defense

Opponent offensive rebound rate

30.9%35 games · lower is betterRank 232 / 366 · 37th favorable percentile
Offense

Free-throw attempt rate

32.0%35 games · higher is betterRank 257 / 366 · 30th favorable percentile
Defense

Opponent free-throw attempt rate

31.3%35 games · lower is betterRank 98 / 366 · 73th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency105.135Points per 100 estimated possessions.
Defensive efficiency106.735Opponent points per 100 estimated possessions.
Two-point FG%52.8%35(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%50.2%35Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%35.6%353PM / 3PA.
Opponent three-point FG%32.6%35Opponent 3PM / 3PA.
Three-point attempt share39.0%353PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share31.8%35Opponent 3PA / FGA; a style measure.
Free-throw accuracy72.8%35FTM / FTA.
Opponent free-throw accuracy75.5%35Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share54.9%35Assists / FGM; describes recorded ball movement.
Opponent assisted FG share44.1%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 →
1.047
Points / source possession
69.49
Source possessions / game
20.2%
Transition share
20.5%
Assisted share
1.3%
Garbage-time share

2,432 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

Opponent free-throw attempt rate

31.3% · rank 98 of 366 · 35 games

Which defenders can protect the paint without surrendering free throws?

A relative strength

Opponent effective FG%

49.8% · rank 114 of 366 · 35 games

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

A closer look

Turnover rate

17.7% · rank 261 of 366 · 35 games

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

A closer look

Offensive rebound rate

23.9% · rank 351 of 366 · 35 games

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

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 13 times in the selected window; Lehigh won 8. 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.50100150OldestNewest

Mar 18, 2026 · neutral vs Prairie View · L 55–67 · offense 84.4 / defense 102.8

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%
Prairie ViewMar 18, 2026 · neutralL 556733684.4102.865.241.424.534.1
Boston UMar 11, 2026 · homeW 7460270121.098.161.251.811.440.0
ColgateMar 8, 2026 · homeW 7669209110.9100.768.561.016.114.3
Holy CrossMar 6, 2026 · homeW 6966334103.699.166.654.518.024.1
BucknellFeb 28, 2026 · homeW 8979310131.1116.367.969.620.631.8
AmericanFeb 26, 2026 · roadW 7873247117.5110.066.458.015.119.2
Boston UFeb 22, 2026 · homeW 7067270119.1114.058.858.017.030.8
NavyFeb 19, 2026 · roadL 497218276.0111.764.536.018.625.6
LafayetteFeb 14, 2026 · roadW 7869319120.7106.864.660.512.425.0
AmericanFeb 12, 2026 · homeW 9082247121.4110.674.272.020.218.2
Holy CrossFeb 7, 2026 · roadL 6776334103.3117.264.852.610.812.1
Loyola MDFeb 5, 2026 · roadL 8489330104.7110.964.253.716.223.8
ColgateJan 31, 2026 · homeW 7776209107.9106.563.463.225.217.9
ArmyJan 28, 2026 · roadL 646734094.999.467.447.317.823.7
LafayetteJan 25, 2026 · homeW 645931997.689.965.650.024.428.6
Loyola MDJan 20, 2026 · homeW 8881330129.3119.068.163.913.217.4
NavyJan 17, 2026 · homeL 7982182102.5106.461.647.810.414.6
Boston UJan 14, 2026 · roadW 9391270120.6118.068.657.97.88.8
ColgateJan 10, 2026 · roadW 7877209119.7118.265.249.210.736.8
Holy CrossJan 7, 2026 · homeW 6658334103.991.363.554.718.921.4
BucknellJan 3, 2026 · roadL 657231088.798.373.351.128.715.4
ArmyDec 31, 2025 · homeL 7885340101.0110.068.751.611.711.1
MonmouthDec 21, 2025 · roadL 627621192.1112.967.355.629.731.0
PSU HazletonDec 19, 2025 · homeW 8374Unrated109.197.376.151.617.130.6
Long IslandDec 6, 2025 · homeL 8287269112.1118.973.255.426.040.6
BinghamtonDec 3, 2025 · roadL 718035299.0111.663.747.015.327.9
Texas StNov 29, 2025 · neutralW 7874228110.9105.262.561.218.522.6
Santa BarbaraNov 28, 2025 · neutralL 7072143109.3112.464.153.318.721.4
MaristNov 26, 2025 · roadL 557820081.1115.067.837.313.319.5
ColumbiaNov 21, 2025 · homeL 678221797.8119.768.549.113.119.5
Saint FrancisNov 19, 2025 · homeW 7962356107.884.673.354.420.532.4
RutgersNov 14, 2025 · roadL 7284107102.5119.670.250.012.818.4
West VirginiaNov 9, 2025 · roadL 47695272.8106.964.642.424.89.4
Valley ForgeNov 7, 2025 · homeW 9152Unrated118.467.776.958.218.238.9
HoustonNov 4, 2025 · roadL 5775283.6110.068.241.222.024.3
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
Nasir WhitlockG3535.020.53.53.358.930.9%351.2335 games18035 games
Joshua IngramG3534.910.55.23.360.016.4%351.6935 games12535 games
Hank AlveyF3530.915.27.12.164.323.8%351.1635 games1235 games
Peter KramerG3520.04.01.90.755.111.2%351.2135 games9635 games
Edouard BenoitF2428.810.26.01.151.922.1%240.6024 games9624 games
Jalen VazquezG3121.93.82.62.047.412.9%311.7031 games3931 games
Andrew UrosevicG2819.67.51.40.652.421.2%281.1328 games14528 games
Caleb ThomasG2122.75.21.42.139.818.8%211.2921 games3221 games
Alfredo AddesaF338.02.01.50.345.419.1%330.5033 games3233 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 Lehigh?

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
Guard84,8604,860100%
Forward52,2002,200100%
Center2165165100%

0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (7,225 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%
Nasir WhitlockGSame programLehigh Mountain Hawks35.020.558.9%
Joshua IngramGSame programLehigh Mountain Hawks34.910.560.0%
Hank AlveyFSame programLehigh Mountain Hawks30.915.264.3%
Peter KramerGSame programLehigh Mountain Hawks20.04.055.1%
Edouard BenoitFSame programLehigh Mountain Hawks28.810.251.9%
Jalen VazquezGSame programLehigh Mountain Hawks21.93.847.4%
Andrew UrosevicGSame programLehigh Mountain Hawks19.67.552.4%
Caleb ThomasGSame programLehigh Mountain Hawks22.75.239.8%
Alfredo AddesaFSame programLehigh Mountain Hawks8.02.045.4%
Jake PikeFSame programLehigh Mountain Hawks11.01.554.0%
Henri AdiassaCSame programLehigh Mountain Hawks4.80.559.7%
Tommy ConniffCSame programLehigh Mountain Hawks5.40.457.6%

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 2, 2026 · TIME TBD

Lehigh vs Saint Louis

66.4Lehigh
85.0Saint Louis
Saint Louis win estimate90.0%
Model signalStrong lean
Projected home margin18.6
Projected total151.4
80% home-margin range2.7 to 34.5
Estimated possessions70.4
Why the model tiltsfour-factor edge
Shot qualityHome 3.0 pts
Saint Louis attack 56.6% · Lehigh defense 51.2%
Lehigh attack 50.9% · Saint Louis defense 48.5%
Ball securityHome 1.1 pts
Saint Louis attack 17.3% · Lehigh defense 16.3%
Lehigh attack 17.3% · Saint Louis defense 15.2%
Second chancesHome 2.1 pts
Saint Louis attack 28.5% · Lehigh defense 30.5%
Lehigh attack 23.3% · Saint Louis defense 27.4%
Free-throw pressureAway 1.2 pts
Saint Louis attack 33.7% · Lehigh defense 34.7%
Lehigh attack 33.1% · Saint Louis defense 32.9%
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).

Chaifetz 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 ↗
ON THE SCHEDULENov 8, 2026 · TIME TBD

Brown vs Lehigh

67.9Brown
69.4Lehigh
Lehigh win estimate58.1%
Model signalToss-up
Projected home margin1.5
Projected total137.2
80% home-margin range-14.4 to 17.4
Estimated possessions67.6
Why the model tiltsfour-factor edge
Shot qualityHome 1.5 pts
Lehigh attack 50.9% · Brown defense 50.6%
Brown attack 50.1% · Lehigh defense 51.2%
Ball securityHome 2.8 pts
Lehigh attack 17.3% · Brown defense 17.3%
Brown attack 19.1% · Lehigh defense 16.3%
Second chancesAway 5.8 pts
Lehigh attack 23.3% · Brown defense 29.9%
Brown attack 29.6% · Lehigh defense 30.5%
Free-throw pressureHome 0.5 pts
Lehigh attack 33.1% · Brown defense 35.0%
Brown attack 32.4% · Lehigh defense 34.7%
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).

Stabler 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 ↗
ON THE SCHEDULENov 24, 2026 · TIME TBD

Binghamton vs Lehigh

66.0Binghamton
74.7Lehigh
Lehigh win estimate75.2%
Model signalStrong lean
Projected home margin8.7
Projected total140.7
80% home-margin range-7.3 to 24.6
Estimated possessions66.6
Why the model tiltsfour-factor edge
Shot qualityAway 0.6 pts
Lehigh attack 50.9% · Binghamton defense 52.7%
Binghamton attack 50.1% · Lehigh defense 51.2%
Ball securityAway 1.0 pts
Lehigh attack 17.3% · Binghamton defense 13.6%
Binghamton attack 19.0% · Lehigh defense 16.3%
Second chancesAway 0.6 pts
Lehigh attack 23.3% · Binghamton defense 29.7%
Binghamton attack 24.6% · Lehigh defense 30.5%
Free-throw pressureAway 6.0 pts
Lehigh attack 33.1% · Binghamton defense 36.0%
Binghamton attack 37.8% · Lehigh defense 34.7%
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).

Stabler 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 →