Teams › Big Ten · Compare Iowa with another team
Iowa
Iowa returns 68% of last season's minutes and rates #42 on offense and #19 on defense of 365 teams. 80% range: +7.3 to +21.8.
Why we have them here
Iowa's preseason projection of +14.6 (No. 33 of 365) starts from the roster: its players' ratings, weighted by projected minutes, add up to a roll-up worth +8.8, about the +8.9 typical of teams ranked near it. Last season's rating (No. 23 at the end of 2025-26) adds +3.3, about its neighbours' +2.6; the program's level two and three seasons back and the roster's experience and shape add +1.7. A stretch at the top of the scale adds +0.6, because a straight-line calibration shrinks elite teams. It returns 68% of last season's minutes, more than teams ranked near it (32%). The projection leans most on Cam Manyawu (+4.0), Andrew McKeever (+3.3) and Cooper Koch (+3.3); the newcomer who matters most is Andrew McKeever, a transfer from Saint Mary's, at +3.3. Its 80% range, +7.3 to +21.8, is about as wide as that of teams ranked near it.
Generated from the published projection's own terms, not written by hand. "Teams ranked near it" are the thirty nearest in the preseason order. Preseason projection frozen 2026-10-23; how the projection is built.
Roster
Returning 66% · Transfer 23% · Freshman 9% · Other newcomer 2%
| Rank | Player | Pos | Ht | D1 yrs | Group | From | MPG | Rating | Contrib. |
|---|---|---|---|---|---|---|---|---|---|
| 100 | Cam Manyawu | F | 6-9 | 3 | Returning | Iowa | 22 | +7.2 | +4.0 |
| 169 | Andrew McKeever | C | 7-2 | 2 | Transfer | Saint Mary's | 23 | +5.7 | +3.3 |
| 224 | Cooper Koch | F | 6-8 | 2 | Returning | Iowa | 28 | +4.7 | +3.3 |
| 236 | Ty'Reek Coleman | G | 6-2 | 1 | Transfer | Illinois State | 22 | +5.1 | +2.9 |
| 538 | Isaia Howard | G | 6-5 | 2 | Returning | Iowa | 21 | +3.2 | +1.7 |
| 640 | Tate Sage | G | 6-7 | 1 | Returning | Iowa | 17 | +3.0 | +1.3 |
| 1130 | Trevin Jirak | C | 6-11 | 1 | Returning | Iowa | 9 | +1.5 | +0.3 |
| 1532 | Kael Combs | G | 6-4 | 3 | Returning | Iowa | 22 | +0.2 | +0.1 |
| 1547 | Jacob Koch | G | 6-2 | 2 | Returning | Iowa | 5 | +0.3 | +0.0 |
| 1643 | Joey Matteoni | F | 6-9 | 1 | Returning | Iowa | 6 | +0.0 | +0.0 |
| 1687 | Peyton McCollum | F | 6-2 | 0 | Other newcomer | 2 | -0.1 | +0.0 | |
| 1822 | Trey Thompson | F | 6-8 | 0 | Other newcomer | 3 | -0.5 | +0.0 | |
| 1830 | Jaidyn Coon | F | 6-6 | 0 | Freshman | High school | 9 | -0.3 | -0.1 |
| 1943 | Ethan Harris | F | 6-9 | 0 | Freshman | High school | 9 | -0.4 | -0.1 |
A player's rating is points per 100 possessions better than an average Division I player while he is on the floor. Contribution weights it by the share of a rotation slot he is projected to play, so a star on the bench and a role player who never sits both read right. Rank is among all 5,249 rated players. MPG is the projected share of a rotation slot times 40. "From" is last season's team. The bars are contribution, the player's rating times his projected share; their sum is the roll-up the projection starts from.
Schedule
| Date | Opponent | Proj. margin | Win prob. | ||
|---|---|---|---|---|---|
| Tue Nov 03 | vs |  Lipscomb #118 | +14.3 | 88% | |
| Fri Nov 06 | vs |  Eastern Illinois #324 | +21.0 | 96% | |
| Tue Nov 10 | N |  Virginia Tech #45 | +1.2 | 54% | |
| Sun Nov 15 | N |  Creighton #41 | +0.9 | 53% | |
| Fri Nov 20 | at |  Xavier #57 | -3.7 | 38% | |
| Tue Nov 24 | vs |  UMBC #180 | +16.1 | 91% | |
| Sat Nov 28 | vs |  Prairie View A&M #341 | +23.2 | 97% | |
| Tue Dec 01 | at |  Purdue #38 | conf | -2.3 | 42% |
| Mon Dec 07 | vs |  Indiana #55 | conf | +5.6 | 68% |
| Thu Dec 10 | vs |  Iowa State #9 | +1.8 | 56% | |
| Sun Dec 13 | vs |  Western Illinois #362 | +26.0 | 98% | |
| Thu Dec 17 | vs |  Bethune-Cookman #220 | +18.0 | 93% | |
| Mon Dec 21 | N |  Alabama #17 | -3.2 | 40% | |
| Tue Dec 29 | vs |  South Dakota #322 | +22.3 | 97% | |
| Sat Jan 02 | vs |  Ohio State #27 | conf | +2.7 | 59% |
| Wed Jan 06 | vs |  Wisconsin #34 | conf | +3.8 | 62% |
| Sat Jan 09 | vs |  Maryland #64 | conf | +6.7 | 71% |
| Tue Jan 12 | at |  Rutgers #102 | conf | +3.6 | 62% |
| Sat Jan 16 | at |  Nebraska #12 | conf | -6.9 | 28% |
| Sat Jan 23 | vs |  Penn State #89 | conf | +8.6 | 76% |
| Tue Jan 26 | at | Ohio State #27 | conf | -4.0 | 37% |
| Sat Jan 30 | vs | Nebraska #12 | conf | -0.3 | 49% |
| Wed Feb 03 | at |  USC #35 | conf | -2.6 | 42% |
| Sat Feb 06 | at |  UCLA #28 | conf | -4.1 | 37% |
| Wed Feb 10 | vs |  Oregon #58 | conf | +6.0 | 69% |
| Sat Feb 13 | at |  Northwestern #79 | conf | +1.1 | 54% |
| Tue Feb 16 | vs |  Michigan State #6 | conf | -1.5 | 45% |
| Sat Feb 20 | at |  Michigan #11 | conf | -7.0 | 28% |
| Wed Feb 24 | at | Wisconsin #34 | conf | -3.3 | 39% |
| Sat Feb 27 | vs |  Minnesota #65 | conf | +6.4 | 70% |
| Tue Mar 02 | vs |  Washington #92 | conf | +8.8 | 77% |
| Sat Mar 06 | at |  Illinois #5 | conf | -8.6 | 24% |
Projected margin is from Iowa's side, with home court where the game is not neutral (N). Games are the schedule as posted; tournaments and late additions appear as they are listed. Predictions are as of 2026-10-26 and reflect the roster as the model has it on that date.