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

Iowa

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

Independent preseason modelNo.28

+18.7 adjusted net
per 100 estimated possessions

24132025–26 recorded finals
120.7Adjusted offense · 2026–27 baseline
102.0Adjusted defense · lower is better
67.0Model tempo · possessions / 40 min
Publisher lens / exact source team ID

A second read on Iowa.

Open model archive ↗

Checking the attributed publisher rating…

01 / Both ends of the floor

The possession profile.

241337 recorded games · 37 paired efficiency samples · pace 62.8Mean opponent adj. net 12.2 · 37 rated opponents
Offense

Effective FG%

56.4%37 games · higher is betterRank 20 / 366 · 95th favorable percentile
Defense

Opponent effective FG%

52.6%37 games · lower is betterRank 271 / 366 · 26th favorable percentile
Offense

Turnover rate

15.1%37 games · lower is betterRank 78 / 366 · 79th favorable percentile
Defense

Turnovers forced

20.3%37 games · higher is betterRank 27 / 366 · 93th favorable percentile
Offense

Offensive rebound rate

30.2%37 games · higher is betterRank 212 / 366 · 42th favorable percentile
Defense

Opponent offensive rebound rate

29.2%37 games · lower is betterRank 140 / 366 · 62th favorable percentile
Offense

Free-throw attempt rate

35.1%37 games · higher is betterRank 180 / 366 · 51th favorable percentile
Defense

Opponent free-throw attempt rate

38.5%37 games · lower is betterRank 290 / 366 · 21th favorable percentile
Shooting and ball-movement detail
MetricObserved rateGamesDefinition
Offensive efficiency118.437Points per 100 estimated possessions.
Defensive efficiency105.237Opponent points per 100 estimated possessions.
Two-point FG%58.6%37(FGM − 3PM) / (FGA − 3PA).
Opponent two-point FG%54.3%37Opponent (FGM − 3PM) / (FGA − 3PA).
Three-point FG%35.6%373PM / 3PA.
Opponent three-point FG%33.3%37Opponent 3PM / 3PA.
Three-point attempt share43.0%373PA / FGA; a style measure, not a quality grade.
Opponent three-point attempt share40.0%37Opponent 3PA / FGA; a style measure.
Free-throw accuracy76.9%37FTM / FTA.
Opponent free-throw accuracy73.7%37Opponent FTM / FTA; not attributed to defensive skill.
Assisted field-goal share57.7%37Assists / FGM; describes recorded ball movement.
Opponent assisted FG share52.1%37Opponent 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 →
1.188
Points / source possession
62.84
Source possessions / game
13.4%
Transition share
23.9%
Assisted share
2.1%
Garbage-time share

2,325 source possession rows across 37 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

Effective FG%

56.4% · rank 20 of 366 · 37 games

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

A relative strength

Turnovers forced

20.3% · rank 27 of 366 · 37 games

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

A closer look

Opponent effective FG%

52.6% · rank 271 of 366 · 37 games

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

A closer look

Opponent free-throw attempt rate

38.5% · rank 290 of 366 · 37 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 9 times in the selected window; Iowa won 4. 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.40105170OldestNewest

Mar 28, 2026 · neutral vs Illinois · L 59–71 · offense 107.6 / defense 129.5

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 · 37 games
Game / venueResultCurrent opponent rankOff. eff.Def. eff.PaceeFG%TO%ORB%
IllinoisMar 28, 2026 · neutralL 59717107.6129.554.850.016.426.7
NebraskaMar 26, 2026 · neutralW 777124127.4117.460.564.48.311.5
FloridaMar 22, 2026 · neutralW 73724119.4117.861.157.816.435.7
ClemsonMar 20, 2026 · neutralW 676126124.7113.653.745.714.946.9
Ohio StateMar 12, 2026 · neutralL 697225118.9124.158.061.417.230.4
MarylandMar 11, 2026 · neutralW 756463114.197.465.759.416.724.1
NebraskaMar 8, 2026 · roadL 758424100.7112.866.258.025.522.6
MichiganMar 6, 2026 · homeL 68716104.5109.165.144.57.725.0
Penn StateFeb 28, 2026 · roadL 6971103116.1119.559.453.513.531.3
Ohio StateFeb 26, 2026 · homeW 745725126.497.458.562.812.018.2
WisconsinFeb 22, 2026 · roadL 718421110.3130.564.453.414.027.3
NebraskaFeb 18, 2026 · homeW 57522494.886.560.139.220.035.3
PurdueFeb 14, 2026 · homeL 5778998.6135.057.843.410.424.3
MarylandFeb 11, 2026 · roadL 707763112.6123.862.248.36.431.4
NorthwesternFeb 8, 2026 · homeW 767053122.4112.762.150.012.940.6
WashingtonFeb 5, 2026 · roadW 847466137.5121.161.168.36.516.7
OregonFeb 2, 2026 · roadW 846661142.0111.559.267.98.428.0
USCJan 29, 2026 · homeW 737272107.3105.868.049.122.136.4
RutgersJan 21, 2026 · homeW 6862107105.496.164.553.918.624.1
IndianaJan 17, 2026 · roadW 745744128.699.157.557.613.928.6
PurdueJan 14, 2026 · roadL 72799112.3123.264.164.720.320.0
IllinoisJan 11, 2026 · homeL 69757104.5113.666.047.712.125.6
MinnesotaJan 7, 2026 · roadL 67709198.2102.668.245.220.535.9
UCLAJan 3, 2026 · homeW 746127119.398.362.055.322.642.3
UMass LowellDec 29, 2025 · homeW 9062272137.594.765.561.810.733.3
BucknellDec 20, 2025 · homeW 9439310144.059.765.366.713.850.0
W MichiganDec 14, 2025 · homeW 9151295141.679.464.367.89.331.0
Iowa StateDec 12, 2025 · roadL 62665100.6107.161.757.826.030.8
MarylandDec 6, 2025 · homeW 836463117.990.970.461.114.223.5
Michigan StDec 3, 2025 · roadL 52711388.9121.458.545.618.820.0
Grand CanyonNov 27, 2025 · neutralW 59466597.776.260.446.819.933.3
Ole MissNov 26, 2025 · neutralW 746954114.8107.164.550.010.932.4
Chicago StNov 21, 2025 · homeW 9354360152.388.461.167.211.546.2
SE MissouriNov 19, 2025 · homeW 9970243145.1102.668.371.416.136.0
XavierNov 15, 2025 · homeW 816268115.388.370.259.819.932.0
W IllinoisNov 8, 2025 · homeW 7758362122.292.063.062.011.114.8
Robert MorrisNov 5, 2025 · homeW 10169166147.1100.568.769.116.045.5
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
Bennett StirtzG3737.819.82.64.460.727.0%372.4037 games25737 games
Cooper KochF3728.47.83.11.160.613.7%372.4737 games16437 games
Kael CombsG3726.06.12.42.458.414.2%371.7537 games5437 games
Tavion BanksG3723.310.24.61.161.423.3%370.8137 games4337 games
Alvaro FolgueirasF3720.68.43.62.262.221.7%371.7637 games10837 games
Cam ManyawuF3719.26.64.61.162.717.7%371.3937 games037 games
Isaia HowardG3718.25.12.61.152.816.6%371.7137 games6437 games
Tate SageG3716.26.12.10.762.118.8%371.3237 games7237 games
Brendan HausenG2010.84.20.70.550.521.5%205.0020 games6720 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 Iowa?

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.

12Source-listed players
10Same-program prior records
0Different-program records
78%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
Guard63,1093,109100%
Forward52,5672,567100%
Center1136136100%

0 listed players have no recognized source position. The workload denominator is the matched prior-production sample (5,812 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 →

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

PlayerObservationPrior MPGPrior PPGPrior TS%
Cooper KochFSame programIowa Hawkeyes28.47.860.6%
Kael CombsGSame programIowa Hawkeyes26.06.158.4%
Tavion BanksGSame programIowa Hawkeyes23.310.261.4%
Alvaro FolgueirasFSame programIowa Hawkeyes20.68.462.2%
Cam ManyawuFSame programIowa Hawkeyes19.26.662.7%
Isaia HowardGSame programIowa Hawkeyes18.25.152.8%
Tate SageGSame programIowa Hawkeyes16.26.162.1%
Trevin JirakCSame programIowa Hawkeyes8.03.457.1%
Joey MatteoniFSame programIowa Hawkeyes3.81.551.8%
Jacob KochGSame programIowa Hawkeyes2.20.433.3%
Peyton McCollumGNo prior appearance observedNo prior program listed
Trey ThompsonFNo prior appearance observedNo prior program listed

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 15, 2026 · TIME TBD

Iowa vs Creighton

76.7Iowa
73.8Creighton
Creighton win estimate46.1%
Model signalToss-up
Projected home margin-2.9
Projected total150.5
80% home-margin range-18.9 to 13.0
Estimated possessions66.9
Why the model tiltsfour-factor edge
Shot qualityAway 4.3 pts
Creighton attack 55.6% · Iowa defense 51.6%
Iowa attack 56.3% · Creighton defense 48.0%
Ball securityHome 3.9 pts
Creighton attack 16.1% · Iowa defense 19.2%
Iowa attack 14.6% · Creighton defense 13.7%
Second chancesAway 5.1 pts
Creighton attack 27.3% · Iowa defense 28.7%
Iowa attack 29.7% · Creighton defense 26.0%
Free-throw pressureAway 15.9 pts
Creighton attack 30.2% · Iowa defense 33.5%
Iowa attack 35.2% · 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).

Casey's 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 20, 2026 · TIME TBD

Iowa vs Xavier

79.7Iowa
77.4Xavier
Xavier win estimate47.8%
Model signalToss-up
Projected home margin-2.3
Projected total157.1
80% home-margin range-18.2 to 13.6
Estimated possessions69.4
Why the model tiltsfour-factor edge
Shot qualityAway 3.4 pts
Xavier attack 53.5% · Iowa defense 51.6%
Iowa attack 56.3% · Xavier defense 51.0%
Ball securityHome 1.9 pts
Xavier attack 15.1% · Iowa defense 19.2%
Iowa attack 14.6% · Xavier defense 16.8%
Second chancesAway 4.0 pts
Xavier attack 28.0% · Iowa defense 28.7%
Iowa attack 29.7% · Xavier defense 26.5%
Free-throw pressureAway 2.9 pts
Xavier attack 33.8% · Iowa defense 33.5%
Iowa attack 35.2% · Xavier defense 32.0%
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).

Cintas 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 SCHEDULEDec 10, 2026 · TIME TBD

Iowa State vs Iowa

75.1Iowa State
71.9Iowa
Iowa win estimate45.5%
Model signalToss-up
Projected home margin-3.1
Projected total147.0
80% home-margin range-19.1 to 12.8
Estimated possessions66.9
Why the model tiltsfour-factor edge
Shot qualityHome 4.3 pts
Iowa attack 56.3% · Iowa State defense 48.3%
Iowa State attack 55.3% · Iowa defense 51.6%
Ball securityHome 4.5 pts
Iowa attack 14.6% · Iowa State defense 22.5%
Iowa State attack 15.7% · Iowa defense 19.2%
Second chancesAway 2.1 pts
Iowa attack 29.7% · Iowa State defense 26.7%
Iowa State attack 33.8% · Iowa defense 28.7%
Free-throw pressureHome 0.5 pts
Iowa attack 35.2% · Iowa State defense 31.7%
Iowa State attack 36.3% · Iowa 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).

Carver-Hawkeye 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 →