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

San José St

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

Independent preseason modelNo.226

-4.5 adjusted net
per 100 estimated possessions

9242025–26 recorded finals
108.0Adjusted offense · 2026–27 baseline
112.5Adjusted defense · lower is better
66.2Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on San José St.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

92433 recorded games · 33 paired efficiency samples · pace 66.0Mean opponent adj. net 6.2 · 32 rated opponents
Offense

Effective FG%

50.5%33 games · higher is betterRank 241 / 366 · 34th favorable percentile
Defense

Opponent effective FG%

56.4%33 games · lower is betterRank 357 / 366 · 2th favorable percentile
Offense

Turnover rate

15.2%33 games · lower is betterRank 84 / 366 · 77th favorable percentile
Defense

Turnovers forced

17.3%33 games · higher is betterRank 146 / 366 · 60th favorable percentile
Offense

Offensive rebound rate

30.0%33 games · higher is betterRank 219 / 366 · 40th favorable percentile
Defense

Opponent offensive rebound rate

35.4%33 games · lower is betterRank 354 / 366 · 3th favorable percentile
Offense

Free-throw attempt rate

33.4%33 games · higher is betterRank 222 / 366 · 39th favorable percentile
Defense

Opponent free-throw attempt rate

35.0%33 games · lower is betterRank 199 / 366 · 46th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency108.733Points per 100 estimated possessions.
Defensive efficiency118.533Opponent points per 100 estimated possessions.
Two-point FG%48.5%33(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%58.2%33Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%35.8%333PM / 3PA.
Opponent three-point FG%35.7%33Opponent 3PM / 3PA.
Three-point attempt share38.2%333PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share39.2%33Opponent 3PA / FGA; a style measure.
Free-throw accuracy73.1%33FTM / FTA.
Opponent free-throw accuracy78.1%33Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share42.8%33Assists / FGM; describes recorded ball movement.
Opponent assisted FG share57.4%33Opponent 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 →
1.082
Points / source possession
66.55
Source possessions / game
16.1%
Transition share
16.2%
Assisted share
1.4%
Garbage-time share

2,196 source possession rows across 33 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

15.2% · rank 84 of 366 · 33 games

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

A relative strength

Turnovers forced

17.3% · rank 146 of 366 · 33 games

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

A closer look

Opponent offensive rebound rate

35.4% · rank 354 of 366 · 33 games

Which matchups demand an extra box-out assignment?

A closer look

Opponent effective FG%

56.4% · rank 357 of 366 · 33 games

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

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 2 times in the selected window; San José St won 0. 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 13, 2026 · neutral vs New Mexico · L 77–93 · offense 111.9 / defense 135.2

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 · 33 games
Game / venueResultCurrent opponent rankOff. eff.Def. eff.PaceeFG%TO%ORB%
New MexicoMar 13, 2026 · neutralL 779340111.9135.268.854.718.926.5
Boise StMar 12, 2026 · neutralW 847450120.3106.069.856.68.625.0
WyomingMar 7, 2026 · homeL 7888132129.4146.060.355.48.341.4
Fresno StMar 4, 2026 · roadL 688218899.7120.268.244.77.326.7
Colorado StFeb 28, 2026 · homeL 738567114.7133.663.651.99.421.9
Air ForceFeb 25, 2026 · roadW 8680347129.8120.866.260.512.129.0
Boise StFeb 21, 2026 · roadL 698450105.0127.965.746.39.127.0
NevadaFeb 18, 2026 · homeW 877159122.399.871.164.721.138.7
Grand CanyonFeb 14, 2026 · homeL 799465121.6144.765.058.810.820.7
UNLVFeb 11, 2026 · roadL 7582111110.7121.167.746.810.326.8
Colorado StFeb 8, 2026 · roadL 57656786.598.765.939.26.17.7
New MexicoFeb 1, 2026 · homeL 809040125.5141.163.855.67.832.4
Boise StJan 28, 2026 · homeL 58895086.9133.466.745.318.021.6
WyomingJan 24, 2026 · roadL 626613298.1104.463.246.412.715.4
NevadaJan 21, 2026 · roadL 54875987.8141.461.536.211.427.5
UNLVJan 17, 2026 · homeL 6276111110.1134.956.347.821.343.3
Air ForceJan 14, 2026 · homeW 7062347114.3101.261.353.114.728.6
Grand CanyonJan 11, 2026 · roadL 58766582.9108.670.042.320.022.6
Fresno StJan 7, 2026 · homeL 557018886.6110.363.545.517.317.6
Utah StateJan 3, 2026 · roadL 789630121.1149.164.453.615.537.5
San Diego StDec 31, 2025 · homeL 68814393.3111.172.939.724.733.3
New MexicoDec 21, 2025 · roadL 65884095.4129.168.247.519.127.8
StanfordDec 14, 2025 · homeL 828677118.6124.469.150.011.633.3
Long Beach StDec 10, 2025 · homeW 8983265124.9116.563.363.916.825.9
San DiegoDec 6, 2025 · homeW 8669263117.994.673.060.930.257.7
UC IrvineNov 30, 2025 · homeL 63729594.9108.466.437.913.639.6
Loyola ChicagoNov 26, 2025 · neutralW 6351202107.987.358.447.212.033.3
TulsaNov 25, 2025 · neutralL 518111683.3132.261.338.619.632.5
SouthernNov 22, 2025 · homeW 8066282114.894.769.754.721.539.4
BethesdaNov 18, 2025 · homeW 11056Unrated149.676.273.574.217.755.2
Michigan StNov 13, 2025 · roadL 60791390.6119.366.242.913.617.9
Santa BarbaraNov 8, 2025 · roadL 7485143118.4136.062.557.022.444.0
UtahNov 4, 2025 · roadL 758493106.7119.570.350.815.732.5
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
Melvin Bell Jr.G3333.48.74.10.549.515.7%330.4733 games6333 games
Colby GarlandG2935.120.33.34.658.428.9%292.1629 games9429 games
Jermaine WashingtonG2534.711.51.82.952.319.0%251.7425 games14725 games
Adrian MyersF2828.511.14.91.054.420.8%281.0028 games12928 games
Sadraque NgaNgaF3224.37.84.10.652.419.1%320.4032 games9532 games
Pasha GoodarziG1926.18.21.90.957.416.6%191.1319 games9119 games
Yaphet MoundiF1326.712.57.61.459.623.0%130.8213 games513 games
Ben RoseboroughG1127.612.01.61.154.022.3%111.3311 games5611 games
Douglas LangfordF2710.91.62.40.342.311.7%270.5027 games327 games
Marcus OverstreetF2610.52.83.20.354.415.6%260.7526 games026 games
Japhet MoupadeleF2311.62.71.60.744.917.1%230.9423 games3423 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 San José St?

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.

16Source-listed players
14Same-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
Guard73,8333,833100%
Forward82,7692,769100%
Center12323100%

0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (6,625 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 →

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

PlayerObservationPrior MPGPrior PPGPrior TS%
Melvin Bell Jr.GSame programSan José State Spartans33.48.749.5%
Colby GarlandGSame programSan José State Spartans35.120.358.4%
Jermaine WashingtonGSame programSan José State Spartans34.711.552.3%
Adrian MyersFSame programSan José State Spartans28.511.154.4%
Sadraque NgaNgaFSame programSan José State Spartans24.37.852.4%
Pasha GoodarziGSame programSan José State Spartans26.18.257.4%
Yaphet MoundiFSame programSan José State Spartans26.712.559.6%
Ben RoseboroughGSame programSan José State Spartans27.612.054.0%
Douglas LangfordFSame programSan José State Spartans10.91.642.3%
Marcus OverstreetFSame programSan José State Spartans10.52.854.4%
Japhet MoupadeleFSame programSan José State Spartans11.62.744.9%
JaVaughn HannahGSame programSan José State Spartans22.07.560.4%

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, 10:00 PM ET

UTSA vs San José St

71.3UTSA
79.5San José St
San José St win estimate74.2%
Model signalLean
Projected home margin8.2
Projected total150.8
80% home-margin range-7.8 to 24.1
Estimated possessions67.8
Why the model tiltsfour-factor edge
Shot qualityHome 3.0 pts
San José St attack 50.9% · UTSA defense 53.1%
UTSA attack 48.2% · San José St defense 53.3%
Ball securityHome 0.5 pts
San José St attack 16.1% · UTSA defense 16.5%
UTSA attack 16.6% · San José St defense 16.6%
Second chancesAway 0.5 pts
San José St attack 29.5% · UTSA defense 33.2%
UTSA attack 29.1% · San José St defense 32.3%
Free-throw pressureAway 3.7 pts
San José St attack 31.4% · UTSA defense 35.1%
UTSA attack 31.9% · San José St defense 31.9%
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).

Provident Credit Union Event Center
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 7, 2026 · TIME TBD

San José St vs UC Irvine

65.0San José St
76.3UC Irvine
UC Irvine win estimate80.2%
Model signalStrong lean
Projected home margin11.3
Projected total141.4
80% home-margin range-4.6 to 27.2
Estimated possessions67.3
Why the model tiltsfour-factor edge
Shot qualityAway 6.6 pts
UC Irvine attack 50.7% · San José St defense 53.3%
San José St attack 50.9% · UC Irvine defense 47.0%
Ball securityAway 2.4 pts
UC Irvine attack 17.6% · San José St defense 16.6%
San José St attack 16.1% · UC Irvine defense 17.4%
Second chancesAway 2.6 pts
UC Irvine attack 30.3% · San José St defense 32.3%
San José St attack 29.5% · UC Irvine defense 28.9%
Free-throw pressureHome 0.1 pts
UC Irvine attack 34.9% · San José St defense 31.9%
San José St attack 31.4% · UC Irvine defense 28.5%
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).

Bren Events Center
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 12, 10:00 PM ET

UC Riverside vs San José St

71.4UC Riverside
75.4San José St
San José St win estimate64.5%
Model signalLean
Projected home margin4.0
Projected total146.8
80% home-margin range-11.9 to 19.9
Estimated possessions66.6
Why the model tiltsfour-factor edge
Shot qualityHome 2.6 pts
San José St attack 50.9% · UC Riverside defense 52.1%
UC Riverside attack 49.5% · San José St defense 53.3%
Ball securityAway 0.1 pts
San José St attack 16.1% · UC Riverside defense 15.5%
UC Riverside attack 17.0% · San José St defense 16.6%
Second chancesHome 3.6 pts
San José St attack 29.5% · UC Riverside defense 28.1%
UC Riverside attack 30.0% · San José St defense 32.3%
Free-throw pressureAway 5.3 pts
San José St attack 31.4% · UC Riverside defense 36.8%
UC Riverside attack 31.7% · San José St defense 31.9%
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).

Provident Credit Union Event Center
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 →