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

Saint Louis

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

Independent preseason modelNo.55

+12.3 adjusted net
per 100 estimated possessions

2962025–26 recorded finals
115.4Adjusted offense · 2026–27 baseline
103.2Adjusted defense · lower is better
70.5Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on Saint Louis.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

29635 recorded games · 35 paired efficiency samples · pace 72.2Mean opponent adj. net 3.0 · 34 rated opponents
Offense

Effective FG%

59.9%35 games · higher is betterRank 4 / 366 · 99th favorable percentile
Defense

Opponent effective FG%

44.5%35 games · lower is betterRank 1 / 366 · 100th favorable percentile
Offense

Turnover rate

17.1%35 games · lower is betterRank 218 / 366 · 41th favorable percentile
Defense

Turnovers forced

16.1%35 games · higher is betterRank 235 / 366 · 36th favorable percentile
Offense

Offensive rebound rate

31.5%35 games · higher is betterRank 165 / 366 · 55th favorable percentile
Defense

Opponent offensive rebound rate

26.7%35 games · lower is betterRank 43 / 366 · 88th favorable percentile
Offense

Free-throw attempt rate

33.2%35 games · higher is betterRank 227 / 366 · 38th favorable percentile
Defense

Opponent free-throw attempt rate

36.9%35 games · lower is betterRank 251 / 366 · 32th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency120.835Points per 100 estimated possessions.
Defensive efficiency97.635Opponent points per 100 estimated possessions.
Two-point FG%60.4%35(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%44.4%35Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%39.6%353PM / 3PA.
Opponent three-point FG%29.7%35Opponent 3PM / 3PA.
Three-point attempt share45.3%353PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share41.8%35Opponent 3PA / FGA; a style measure.
Free-throw accuracy74.1%35FTM / FTA.
Opponent free-throw accuracy72.7%35Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share60.2%35Assists / FGM; describes recorded ball movement.
Opponent assisted FG share51.3%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 →
1.202
Points / source possession
72.71
Source possessions / game
28.6%
Transition share
25.5%
Assisted share
5.7%
Garbage-time share

2,545 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 effective FG%

44.5% · rank 1 of 366 · 35 games

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

A relative strength

Effective FG%

59.9% · rank 4 of 366 · 35 games

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

A closer look

Turnovers forced

16.1% · rank 235 of 366 · 35 games

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

A closer look

Opponent free-throw attempt rate

36.9% · rank 251 of 366 · 35 games

Which defenders can protect the paint without surrendering free throws?

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 6 times in the selected window; Saint Louis won 3. 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.30100170OldestNewest

Mar 21, 2026 · neutral vs Michigan · L 72–95 · offense 102.1 / defense 134.7

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%
MichiganMar 21, 2026 · neutralL 72956102.1134.770.552.511.313.9
GeorgiaMar 20, 2026 · neutralW 1027737127.896.579.864.616.334.4
DaytonMar 14, 2026 · neutralL 697058100.8102.368.452.926.323.3
G WashingtonMar 13, 2026 · neutralW 8881110118.2108.874.454.214.821.9
George MasonMar 7, 2026 · roadL 57869090.6136.662.943.119.130.0
Loyola ChicagoMar 5, 2026 · homeW 7965202132.9109.459.469.811.822.7
DuquesneMar 1, 2026 · homeW 9176129138.6115.765.770.015.226.1
DaytonFeb 25, 2026 · roadL 62775889.3110.969.444.521.624.2
VCUFeb 21, 2026 · homeW 887539114.197.377.159.119.535.1
Rhode IslandFeb 18, 2026 · roadL 7681158101.9108.674.651.924.127.3
Loyola ChicagoFeb 14, 2026 · roadW 8659202118.381.272.761.519.331.3
La SalleFeb 7, 2026 · homeW 8258242115.982.070.863.215.514.3
DavidsonFeb 4, 2026 · roadW 9182121130.6117.769.761.014.437.5
DaytonJan 31, 2026 · homeW 1027158140.297.672.877.717.926.1
G WashingtonJan 28, 2026 · homeW 7976110104.3100.475.754.018.530.2
St BonaventureJan 23, 2026 · roadW 9762125137.988.170.372.714.229.0
DuquesneJan 21, 2026 · roadW 8177129105.5100.376.857.020.826.5
RichmondJan 17, 2026 · homeW 8863162126.790.769.457.413.035.3
FordhamJan 15, 2026 · homeW 7856187128.191.960.961.89.927.6
La SalleJan 10, 2026 · roadW 8472242124.5106.767.566.720.732.0
VCUJan 8, 2026 · roadW 71623992.280.577.047.615.615.4
Saint Joseph'sDec 31, 2025 · homeW 10279108156.2121.065.379.210.728.0
PrincipiaDec 28, 2025 · homeW 11433Unrated150.843.775.666.214.658.8
New HampshireDec 21, 2025 · homeW 9379348125.4106.674.153.810.834.1
BethuneDec 18, 2025 · homeW 11253301144.768.577.475.816.834.5
San FranciscoDec 14, 2025 · homeW 857589120.7106.570.454.012.836.1
C MichiganDec 7, 2025 · homeW 10765266154.793.969.265.95.843.3
LMUDec 3, 2025 · roadW 9170160118.090.877.157.223.348.6
StanfordNov 29, 2025 · neutralL 777877106.4107.872.441.815.234.2
Santa ClaraNov 28, 2025 · neutralW 717042100.499.070.750.015.628.6
Purdue FWNov 22, 2025 · homeW 9160210129.385.370.461.522.748.4
Grand CanyonNov 16, 2025 · homeW 786465104.385.674.854.224.129.4
LindenwoodNov 11, 2025 · homeW 10966304134.581.481.076.324.747.8
Chicago StNov 7, 2025 · homeW 10886360126.1100.485.762.917.525.0
SE MissouriNov 4, 2025 · homeW 9267243119.286.877.256.019.438.9
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
Quentin JonesG3526.59.13.93.056.618.2%351.6035 games9435 games
Robbie AvilaC3526.412.84.54.165.121.4%352.3635 games16135 games
Dion BrownG3523.711.35.41.667.320.8%350.9735 games6035 games
Trey GreenG3423.610.72.91.765.618.1%342.5734 games20834 games
Ishan SharmaF3522.29.12.71.564.416.7%352.7435 games19235 games
Amari McCottryG3422.910.55.32.956.125.2%341.1834 games6234 games
Brady DunlapF3416.97.02.00.965.718.0%341.1034 games11334 games
Kellen ThamesG3317.19.74.71.865.824.8%331.4333 games1233 games
Paul OtienoF3515.35.33.90.965.115.1%351.4135 games335 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 Saint Louis?

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
11Same-program prior records
0Different-program records
75%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
Guard83,2443,244100%
Forward72,0042,004100%
Center0

0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (5,248 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%
Quentin JonesGSame programSaint Louis Billikens26.59.156.6%
Trey GreenGSame programSaint Louis Billikens23.610.765.6%
Ishan SharmaFSame programSaint Louis Billikens22.29.164.4%
Amari McCottryGSame programSaint Louis Billikens22.910.556.1%
Brady DunlapFSame programSaint Louis Billikens16.97.065.7%
Kellen ThamesGSame programSaint Louis Billikens17.19.765.8%
Paul OtienoFSame programSaint Louis Billikens15.35.365.1%
Jax KerrFSame programSaint Louis Billikens6.82.945.3%
Cam HutsonGSame programSaint Louis Billikens5.41.846.2%
Jaden SchertzGSame programSaint Louis Billikens3.20.744.9%
Isaac HolmesGSame programSaint Louis Billikens2.80.842.5%
Badara DiakiteFNo 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…

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 ↗
NEUTRAL FLOORNov 6, 2026 · TIME TBD

Missouri vs Saint Louis

79.9Missouri
78.6Saint Louis
Saint Louis win estimate50.4%
Model signalToss-up
Projected home margin-1.3
Projected total158.4
80% home-margin range-17.3 to 14.6
Estimated possessions70.3
Why the model tiltsfour-factor edge
Shot qualityAway 0.6 pts
Saint Louis attack 56.6% · Missouri defense 50.5%
Missouri attack 55.2% · Saint Louis defense 48.5%
Ball securityHome 3.2 pts
Saint Louis attack 17.3% · Missouri defense 18.9%
Missouri attack 16.9% · Saint Louis defense 15.2%
Second chancesAway 7.4 pts
Saint Louis attack 28.5% · Missouri defense 31.0%
Missouri attack 32.2% · Saint Louis defense 27.4%
Free-throw pressureAway 9.4 pts
Saint Louis attack 33.7% · Missouri defense 35.8%
Missouri attack 40.3% · 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 10, 2026 · TIME TBD

N Kentucky vs Saint Louis

70.8N Kentucky
84.2Saint Louis
Saint Louis win estimate83.5%
Model signalStrong lean
Projected home margin13.3
Projected total155.0
80% home-margin range-2.6 to 29.2
Estimated possessions71.0
Why the model tiltsfour-factor edge
Shot qualityHome 1.8 pts
Saint Louis attack 56.6% · N Kentucky defense 52.9%
N Kentucky attack 50.4% · Saint Louis defense 48.5%
Ball securityHome 3.8 pts
Saint Louis attack 17.3% · N Kentucky defense 19.5%
N Kentucky attack 16.8% · Saint Louis defense 15.2%
Second chancesAway 5.8 pts
Saint Louis attack 28.5% · N Kentucky defense 31.6%
N Kentucky attack 30.1% · Saint Louis defense 27.4%
Free-throw pressureAway 2.1 pts
Saint Louis attack 33.7% · N Kentucky defense 34.8%
N Kentucky attack 33.9% · 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 ↗

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 →