Big Ten Conference · men's CBB 2026-27 preview
Ratings as of 2026-10-07 · preseason, no 2026-27 games played
Rating line · rank among 364
Offense and defense are points per 100 possessions against an average D-I opponent. Net rating is the gap between them.
32 games · 20 in conference · expected wins 19.8
Each game gets a spread and a win probability from the ratings. Expected wins is the sum of those probabilities, rounded for the record.
| # | Date (ET) | Opponent | Site | Spread | Win prob. |
|---|---|---|---|---|---|
| 1 | Mon Nov 2, 7:00 PM ET | Eastern Illinois #306 | Home | −20.7 | 97% |
| 2 | Thu Nov 5, 6:00 PM ET | Bellarmine #307 | Home | −20.4 | 97% |
| 3 | Mon Nov 9, 6:30 PM ET | Syracuse #56 | Neutral at Gainbridge Fieldhouse Bad Boy Mowers Series | −2.6 | 59% |
| 4 | Thu Nov 12, 6:30 PM ET | Tennessee Tech #296 | Home | −20.2 | 97% |
| 5 | Tue Nov 17, 7:30 PM ET | Arkansas #16 Top 5 hardest | Neutral at Madison Square Garden Bad Boy Mowers Series | +4.4 | 34% |
| 6 | Fri Nov 20, 8:00 PM ET | Kentucky #26 | Neutral at Lucas Oil Stadium | +2.8 | 40% |
| 7 | Tue Nov 24, 7:00 PM ET | Jacksonville #263 | Home | −17.9 | 95% |
| 8 | Fri Nov 27, 6:00 PM ET | Bowling Green #134 | Home | −13.4 | 89% |
| 9 | Tue Dec 1, 8:00 PM ET | Rutgers #95 | Home · conference | −9.0 | 79% |
| 10 | Thu Dec 3, 6:00 PM ET | Western Illinois #355 | Home | −26.0 | 99% |
| 11 | Mon Dec 7, 7:00 PM ET | Iowa #31 | Away · conference | +3.4 | 38% |
| 12 | Sat Dec 12, 12:00 PM ET | UCF #47 | Home Bad Boy Mowers Series | −3.7 | 63% |
| 13 | Fri Dec 18, 6:00 PM ET | Missouri #48 | Home Bad Boy Mowers Series | −3.6 | 63% |
| 14 | Tue Dec 22, 7:00 PM ET | Fairleigh Dickinson #325 | Home | −22.0 | 98% |
| 15 | Sat Jan 2, 2:00 PM ET | USC #39 | Home · conference | −2.1 | 58% |
| 16 | Wed Jan 6, 10:30 PM ET | Oregon #75 | Away · conference | −3.0 | 61% |
| 17 | Sat Jan 9, 3:00 PM ET | Washington #65 | Away · conference | −1.5 | 55% |
| 18 | Tue Jan 12, 6:00 PM ET | Maryland #97 | Home · conference | −9.0 | 79% |
| 19 | Sat Jan 16, 1:00 PM ET | Michigan #2 Top 5 hardest | Home · conference | +8.5 | 22% |
| 20 | Wed Jan 20, 8:30 PM ET | Minnesota #87 | Away · conference | −4.1 | 64% |
| 21 | Sun Jan 24, 12:00 PM ET | Illinois #5 Top 5 hardest | Home · conference | +5.5 | 31% |
| 22 | Wed Jan 27, 7:00 PM ET | Northwestern #64 | Away · conference | −1.5 | 55% |
| 23 | Sat Jan 30, 12:00 PM ET | UCLA #45 | Home · conference | −2.7 | 60% |
| 24 | Tue Feb 2, 6:00 PM ET | Penn State #108 | Away · conference | −6.5 | 72% |
| 25 | Sat Feb 6, time TBA | Nebraska #15 Top 5 hardest | Away · conference | +6.7 | 27% |
| 26 | Tue Feb 9, 7:30 PM ET | Northwestern #64 | Home · conference | −5.4 | 69% |
| 27 | Sat Feb 13, 12:00 PM ET | Maryland #97 | Away · conference | −5.0 | 68% |
| 28 | Tue Feb 16, 7:00 PM ET | Purdue #21 | Home · conference | +1.0 | 46% |
| 29 | Fri Feb 19, 8:00 PM ET | Wisconsin #41 | Away · conference | +1.8 | 43% |
| 30 | Tue Feb 23, 7:00 PM ET | Michigan State #12 | Home · conference | +3.3 | 38% |
| 31 | Sun Feb 28, 3:45 PM ET | Ohio State #30 | Home · conference | −0.4 | 51% |
| 32 | Fri Mar 5, 8:00 PM ET | Purdue #21 Top 5 hardest | Away · conference | +4.9 | 33% |
Spread is from Indiana's side: a minus sign means favored. Opponent numbers are ATO model ranks out of 364. Neutral sites carry no home edge.
17 players · sorted by projected minutes
Last season is each player's own line from the roster sheet. The projection columns are the 2026-27 per-game line from the best ball projection.
Swipe the table sideways; the player column stays put.
| Player | Pos | Ht | Class | Type | Rivals | PPG | RPG | APG | MPG | Proj MPG | Proj PTS | Proj REB | Proj AST |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Bryce Lindsay | PG | 6-4 | JR | Transfer | #171 | 12.3 | 2.1 | 2.1 | 28.6 | 22.9 | 10.5 | 1.9 | 1.9 |
| Aiden Sherrell | PF | 7-0 | JR | Transfer | #23 | 11.1 | 6.2 | 1.1 | 23.9 | 22.2 | 11.3 | 5.8 | 1.2 |
| Jaeden Mustaf | SG | 6-6 | JR | Transfer | #57 | 10.4 | 4.3 | 2.4 | 27.7 | 21.3 | 8.9 | 3.3 | 1.9 |
| Justin Monden | PG | 6-0 | SR | Transfer | · | 6.0 | 1.2 | 1.6 | 20.8 | 17.8 | 5.2 | 1.2 | 1.3 |
| Markus Burton | PG | 6-0 | RS JR | Transfer | #162 | 18.5 | 2.8 | 3.7 | 30.1 | 16.7 | 9.3 | 1.8 | 1.9 |
| Trent Sisley | PF | 6-8 | SO | Returning | #79 | 4.2 | 2.8 | 0.4 | 13.2 | 13.5 | 4.8 | 2.9 | 0.5 |
| Trevor Manhertz | SF | 6-9 | FR | Recruit | #81 | · | · | · | · | 13.4 | 4.9 | 2.8 | 0.7 |
| Vaughn Karvala | SF | 6-8 | FR | Recruit | #66 | · | · | · | · | 13.4 | 4.9 | 2.8 | 0.7 |
| Darren Harris | SG | 6-5 | JR | Transfer | #38 | 3.3 | 0.8 | 0.4 | 9.7 | 12.9 | 4.8 | 1.3 | 0.7 |
| Prince-Alexander Moody | SG | 6-4 | FR | Recruit | #110 | · | · | · | · | 11.7 | 4.4 | 1.4 | 0.9 |
| Ian Stephens | SF | 6-6 | SR | Walk-on | · | 0.3 | 0.1 | 0.0 | 1.8 | 7.6 | 2.7 | 0.9 | 0.6 |
| Drew Snively | SG | 6-6 | SO | Walk-on | · | 0.4 | 0.4 | 0.0 | 1.7 | 7.4 | 2.7 | 1.0 | 0.6 |
| Samet Yigitoglu | C | 7-2 | JR | Transfer | · | 10.7 | 7.9 | 1.6 | 28.9 | · | · | · | · |
| Sam Alexis | PF | 6-9 | SR | Returning | · | 8.8 | 4.8 | 1.2 | 21.3 | · | · | · | · |
| Ben Winker | C | 6-10 | SO | Walk-on | · | 0.9 | 1.8 | 0.4 | 4.3 | · | · | · | · |
| Clemens Sokolov | C | 7-0 | FR | International | · | · | · | · | · | · | · | · | · |
| Jordan Rayford | SG | 6-5 | SR | Walk-on | · | · | · | · | · | · | · | · | · |
PPG, RPG, APG, MPG are last season. Rivals is the recruit rank where the sheet has one. A dot means no figure.
Method · updated 2026-10-07
Ratings are net points per 100 possessions against an average D-I team, built from game results and roster information. Before games are played, the starting point is a season-ahead forecast from the roster sheet. Once the season starts, results take over.
Spreads are expected scores from each team's offense, defense and tempo, with a home edge of 2.04 points and none at neutral sites. Win probability uses a normal spread of 11 points. These are estimates of what is likely, not statements about what will happen.
Minutes and per-game lines come from a best ball projection built on last season's play, transfer and recruit information. Last-season lines and recruit ranks are facts from the roster sheet.
Every game prediction is logged before tip-off and compared with the final score. We publish where the model is close and where it misses, and we change it only when the results say to.