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

Gonzaga

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

Independent preseason modelNo.8

+27.7 adjusted net
per 100 estimated possessions

3142025–26 recorded finals
121.8Adjusted offense · 2026–27 baseline
94.1Adjusted defense · lower is better
69.9Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on Gonzaga.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

31435 recorded games · 35 paired efficiency samples · pace 70.2Mean opponent adj. net 6.5 · 35 rated opponents
Offense

Effective FG%

55.6%35 games · higher is betterRank 30 / 366 · 92th favorable percentile
Defense

Opponent effective FG%

46.3%35 games · lower is betterRank 17 / 366 · 96th favorable percentile
Offense

Turnover rate

13.6%35 games · lower is betterRank 15 / 366 · 96th favorable percentile
Defense

Turnovers forced

20.0%35 games · higher is betterRank 33 / 366 · 91th favorable percentile
Offense

Offensive rebound rate

34.8%35 games · higher is betterRank 60 / 366 · 84th favorable percentile
Defense

Opponent offensive rebound rate

25.7%35 games · lower is betterRank 23 / 366 · 94th favorable percentile
Offense

Free-throw attempt rate

31.0%35 games · higher is betterRank 279 / 366 · 24th favorable percentile
Defense

Opponent free-throw attempt rate

30.9%35 games · lower is betterRank 91 / 366 · 75th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency119.735Points per 100 estimated possessions.
Defensive efficiency94.035Opponent points per 100 estimated possessions.
Two-point FG%58.2%35(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%46.6%35Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%33.3%353PM / 3PA.
Opponent three-point FG%30.6%35Opponent 3PM / 3PA.
Three-point attempt share30.8%353PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share42.8%35Opponent 3PA / FGA; a style measure.
Free-throw accuracy70.7%35FTM / FTA.
Opponent free-throw accuracy71.5%35Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share57.5%35Assists / FGM; describes recorded ball movement.
Opponent assisted FG share52.8%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 →
1.197
Points / source possession
70.40
Source possessions / game
28.5%
Transition share
26.1%
Assisted share
6.3%
Garbage-time share

2,464 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

13.6% · rank 15 of 366 · 35 games

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

A relative strength

Opponent effective FG%

46.3% · rank 17 of 366 · 35 games

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

A closer look

Opponent free-throw attempt rate

30.9% · rank 91 of 366 · 35 games

Which defenders can protect the paint without surrendering free throws?

A closer look

Free-throw attempt rate

31.0% · rank 279 of 366 · 35 games

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

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 1 times in the selected window; Gonzaga won 1. 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.40100160OldestNewest

Mar 21, 2026 · neutral vs Texas · L 68–74 · offense 106.3 / defense 115.6

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%
TexasMar 21, 2026 · neutralL 687434106.3115.664.048.310.927.3
Kennesaw StMar 20, 2026 · neutralW 7364159105.692.669.142.114.541.0
Santa ClaraMar 11, 2026 · neutralW 796842130.9112.760.462.313.336.4
Oregon StMar 10, 2026 · neutralW 6556139102.988.763.250.015.824.1
Saint Mary'sMar 1, 2026 · roadL 59701892.2109.464.043.817.220.6
PortlandFeb 26, 2026 · homeW 8948258131.971.267.563.514.833.3
PacificFeb 22, 2026 · homeW 7162207116.0101.361.247.36.533.3
San FranciscoFeb 19, 2026 · roadW 805989119.287.967.158.910.421.4
Santa ClaraFeb 15, 2026 · roadW 948642123.1112.676.458.611.834.3
Washington StFeb 11, 2026 · homeW 8353117117.174.870.957.316.935.7
Oregon StFeb 7, 2026 · roadW 8161139145.7109.855.659.83.638.5
PortlandFeb 5, 2026 · roadL 8087258108.2117.773.947.712.233.3
Saint Mary'sFeb 1, 2026 · homeW 736518107.595.767.951.714.728.9
San FranciscoJan 25, 2026 · homeW 686689100.397.367.846.710.323.8
PepperdineJan 22, 2026 · homeW 8460261120.886.369.550.810.138.5
Seattle UJan 18, 2026 · roadW 7150120102.672.369.251.721.741.9
Washington StJan 16, 2026 · roadW 8665117126.995.967.854.411.847.2
Santa ClaraJan 9, 2026 · homeW 897742121.4105.173.362.717.735.7
LMUJan 5, 2026 · homeW 8247160118.868.169.058.211.632.4
Seattle UJan 3, 2026 · homeW 8072120105.695.067.452.515.823.5
San DiegoDec 31, 2025 · roadW 9993263124.3116.779.762.318.841.7
PepperdineDec 29, 2025 · roadW 9656261135.779.170.861.212.738.2
OregonDec 21, 2025 · neutralW 918261134.3121.167.754.87.435.1
CampbellDec 18, 2025 · homeW 9870208118.985.082.461.418.234.4
UCLADec 14, 2025 · neutralW 827227125.0109.765.655.412.234.3
North FloridaDec 8, 2025 · homeW 10958321140.975.077.468.615.541.9
KentuckyDec 6, 2025 · neutralW 945920133.483.770.564.312.834.5
MichiganNov 27, 2025 · neutralL 61101675.8125.580.535.813.723.5
MarylandNov 26, 2025 · neutralW 1006163142.887.170.068.817.146.4
AlabamaNov 25, 2025 · neutralW 958512124.0110.976.652.814.446.5
Southern UtahNov 18, 2025 · homeW 12250285149.161.181.873.611.034.6
Arizona StNov 15, 2025 · roadW 776584110.493.269.849.020.134.4
CreightonNov 12, 2025 · homeW 906347125.187.671.959.39.731.4
OklahomaNov 9, 2025 · homeW 836838112.392.073.949.49.536.7
Texas SouthernNov 4, 2025 · homeW 9843320135.159.372.558.717.955.9
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
Graham IkeF3131.319.98.02.462.728.0%311.3031 games7131 games
Emmanuel InnocentiF3524.46.03.81.754.212.2%353.5935 games8135 games
Mario Saint-SuperyG3523.18.62.83.857.019.2%352.5635 games11935 games
Tyon Grant-FosterG3521.511.15.01.253.026.9%350.8535 games6535 games
Jalen WarleyG3321.97.14.82.158.615.4%332.2633 games033 games
Adam MillerG3519.37.31.61.053.318.5%352.1235 games12935 games
Braeden SmithG3517.15.12.23.656.915.8%353.3435 games5135 games
Davis FogleG2917.38.93.21.458.424.3%292.0029 games4029 games
Braden HuffF1825.517.85.61.567.226.0%181.5918 games2118 games
Steele VentersG2715.05.01.31.056.015.8%271.6527 games9827 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 Gonzaga?

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.

13Source-listed players
11Same-program prior records
0Different-program records
65%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
Guard83,0313,031100%
Forward41,3561,356100%
Center1194194100%

0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (4,581 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 →

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

PlayerObservationPrior MPGPrior PPGPrior TS%
Emmanuel InnocentiFSame programGonzaga Bulldogs24.46.054.2%
Mario Saint-SuperyGSame programGonzaga Bulldogs23.18.657.0%
Adam MillerGSame programGonzaga Bulldogs19.37.353.3%
Braeden SmithGSame programGonzaga Bulldogs17.15.156.9%
Davis FogleGSame programGonzaga Bulldogs17.38.958.4%
Braden HuffFSame programGonzaga Bulldogs25.517.867.2%
Steele VentersGSame programGonzaga Bulldogs15.05.056.0%
Ismaila DiagneCSame programGonzaga Bulldogs6.91.148.2%
Noah HaalandFSame programGonzaga Bulldogs4.82.266.9%
Cade OrnessGSame programGonzaga Bulldogs2.50.434.3%
Joaquim ArauzMooreGSame programGonzaga Bulldogs2.20.875.9%
Alonzo MetzGNo 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…

NEUTRAL FLOORNov 25, 12:30 AM ET

Gonzaga vs Kansas St

84.2Gonzaga
70.7Kansas St
Kansas St win estimate21.2%
Model signalStrong lean
Projected home margin-13.5
Projected total155.0
80% home-margin range-29.4 to 2.4
Estimated possessions72.5
Why the model tiltsfour-factor edge
Shot qualityAway 0.9 pts
Kansas St attack 53.1% · Gonzaga defense 46.8%
Gonzaga attack 56.3% · Kansas St defense 49.1%
Ball securityAway 2.9 pts
Kansas St attack 17.7% · Gonzaga defense 18.3%
Gonzaga attack 14.4% · Kansas St defense 17.9%
Second chancesHome 1.8 pts
Kansas St attack 30.8% · Gonzaga defense 25.7%
Gonzaga attack 33.8% · Kansas St defense 30.4%
Free-throw pressureHome 2.6 pts
Kansas St attack 32.3% · Gonzaga defense 30.6%
Gonzaga attack 32.6% · Kansas St defense 33.5%
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).

T-Mobile 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 SCHEDULEDec 12, 2026 · TIME TBD

Gonzaga vs Creighton

79.1Gonzaga
73.3Creighton
Creighton win estimate38.2%
Model signalLean
Projected home margin-5.9
Projected total152.4
80% home-margin range-21.8 to 10.1
Estimated possessions69.9
Why the model tiltsfour-factor edge
Shot qualityHome 0.5 pts
Creighton attack 55.6% · Gonzaga defense 46.8%
Gonzaga attack 56.3% · Creighton defense 48.0%
Ball securityHome 2.9 pts
Creighton attack 16.1% · Gonzaga defense 18.3%
Gonzaga attack 14.4% · Creighton defense 13.7%
Second chancesAway 6.1 pts
Creighton attack 27.3% · Gonzaga defense 25.7%
Gonzaga attack 33.8% · Creighton defense 26.0%
Free-throw pressureAway 10.5 pts
Creighton attack 30.2% · Gonzaga defense 30.6%
Gonzaga attack 32.6% · Creighton defense 22.6%
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).

CHI Health Center Omaha
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 FLOORFeb 20, 2027 · TIME TBD

Gonzaga vs Duke

72.2Gonzaga
77.0Duke
Duke win estimate66.4%
Model signalLean
Projected home margin4.7
Projected total149.2
80% home-margin range-11.2 to 20.7
Estimated possessions68.5
Why the model tiltsfour-factor edge
Shot qualityAway 0.7 pts
Duke attack 57.1% · Gonzaga defense 46.8%
Gonzaga attack 56.3% · Duke defense 45.4%
Ball securityAway 0.5 pts
Duke attack 15.7% · Gonzaga defense 18.3%
Gonzaga attack 14.4% · Duke defense 17.6%
Second chancesHome 1.9 pts
Duke attack 36.2% · Gonzaga defense 25.7%
Gonzaga attack 33.8% · Duke defense 25.1%
Free-throw pressureAway 0.2 pts
Duke attack 37.0% · Gonzaga defense 30.6%
Gonzaga attack 32.6% · Duke defense 26.0%
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).

Little Caesars 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 →