Atlantic Coast 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 · 18 in conference · expected wins 15.1
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, time TBA | Rider #354 | Home | −19.8 | 96% |
| 2 | Thu Nov 5, time TBA | Buffalo #191 | Home | −9.2 | 80% |
| 3 | Sun Nov 8, 8:00 PM ET | Penn State #108 | Neutral at The Palestra | −2.5 | 59% |
| 4 | Fri Nov 13, 6:30 PM ET | Butler #80 | Away | +2.5 | 41% |
| 5 | Tue Nov 17, 7:00 PM ET | Villanova #28 | Home | +5.7 | 30% |
| 6 | Fri Nov 20, time TBA | Central Michigan #290 | Home | −13.6 | 89% |
| 7 | Tue Nov 24, 1:30 PM ET | Oklahoma #32 | Neutral at Suncoast Credit Union Arena Fort Myers Tip-Off - Beach Division | +6.6 | 27% |
| 8 | Thu Nov 26, 7:00 PM ET | DePaul #78 | Neutral at Suncoast Credit Union Arena Fort Myers Tip-Off - Beach Division | +0.7 | 48% |
| 9 | Tue Dec 1, 7:00 PM ET | Missouri #48 | Away ACC/SEC Men's Challenge | +6.2 | 29% |
| 10 | Sat Dec 5, time TBA | Tarleton State #226 | Home | −11.4 | 85% |
| 11 | Wed Dec 9, 6:00 PM ET | West Virginia #51 | Neutral at PPG Paints Arena Backyard Basketball Classic | +3.5 | 37% |
| 12 | Tue Dec 15, time TBA | Drexel #219 | Home | −10.3 | 83% |
| 13 | Fri Dec 18, time TBA | Georgia State #304 | Home | −14.7 | 91% |
| 14 | Mon Dec 21, time TBA | Cleveland State #298 | Home | −14.3 | 90% |
| 15 | Sat Jan 2, 2:00 PM ET | Miami #24 | Home · conference | +6.7 | 27% |
| 16 | Wed Jan 6, 7:00 PM ET | NC State #29 Top 5 hardest | Away · conference | +9.7 | 19% |
| 17 | Sat Jan 9, time TBA | Duke #1 Top 5 hardest | Away · conference | +18.1 | 5% |
| 18 | Tue Jan 12, 7:00 PM ET | Syracuse #56 | Home · conference | +1.4 | 45% |
| 19 | Sat Jan 16, 4:00 PM ET | Clemson #19 Top 5 hardest | Home · conference | +6.8 | 27% |
| 20 | Wed Jan 20, 7:00 PM ET | Notre Dame #74 | Away · conference | +3.0 | 39% |
| 21 | Sat Jan 23, 7:00 PM ET | Boston College #111 | Home · conference | −4.5 | 66% |
| 22 | Wed Jan 27, 9:00 PM ET | Virginia Tech #52 | Home · conference | +1.5 | 45% |
| 23 | Sat Jan 30, 3:00 PM ET | Florida State #82 | Away · conference | +2.2 | 42% |
| 24 | Tue Feb 2, 9:00 PM ET | Louisville #9 Top 5 hardest | Away · conference | +14.5 | 9% |
| 25 | Tue Feb 9, 7:00 PM ET | Virginia #22 | Home · conference | +6.7 | 27% |
| 26 | Sat Feb 13, 7:00 PM ET | Wake Forest #72 | Away · conference | +3.2 | 39% |
| 27 | Wed Feb 17, 7:00 PM ET | California #94 | Home · conference | −2.9 | 60% |
| 28 | Sat Feb 20, time TBA | Georgia Tech #112 | Home · conference | −4.9 | 67% |
| 29 | Tue Feb 23, 8:00 PM ET | Syracuse #56 | Away · conference | +5.3 | 32% |
| 30 | Sat Feb 27, time TBA | Miami #24 Top 5 hardest | Away · conference | +10.6 | 17% |
| 31 | Tue Mar 2, 9:00 PM ET | North Carolina #33 | Home · conference | +4.8 | 33% |
| 32 | Sat Mar 6, 6:00 PM ET | SMU #50 | Away · conference | +6.0 | 29% |
Spread is from Pittsburgh's side: a minus sign means favored. Opponent numbers are ATO model ranks out of 364. Neutral sites carry no home edge.
16 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Armani Mighty | C | 6-10 | SR | Transfer | #270 | 13.2 | 10.6 | 1.1 | 31.1 | 19.6 | 7.5 | 6.1 | 0.6 |
| Naithan George | PG | 6-3 | SR | Transfer | · | 10.9 | 3.0 | 5.4 | 32.1 | 19.4 | 7.4 | 2.0 | 3.3 |
| Timofei Rudovskii | SF | 6-9 | SO | Transfer | · | 12.9 | 4.7 | 1.8 | 31.5 | 18.8 | 7.3 | 2.9 | 1.0 |
| A'lahn Sumler | SG | 6-4 | SR | Transfer | · | 18.9 | 4.8 | 3.8 | 30.3 | 17.8 | 9.7 | 2.6 | 2.0 |
| Baye Ndongo | PF | 6-9 | SR | Transfer | #146 | 11.8 | 8.1 | 2.4 | 27.1 | 17.5 | 7.9 | 5.1 | 1.5 |
| Colin Hawkins | SG | 6-3 | JR | Transfer | · | 8.2 | 1.8 | 2.1 | 27.3 | 15.7 | 4.7 | 1.2 | 1.2 |
| Jonathan Powell | SF | 6-6 | JR | Transfer | #129 | 4.8 | 2.4 | 0.7 | 16.2 | 12.9 | 4.3 | 1.9 | 0.7 |
| Chase Foster | PF | 6-8 | FR | Recruit | #42 | · | · | · | · | 12.6 | 4.6 | 2.6 | 0.6 |
| Kraig Gilbert | PF | 6-8 | JR | Transfer | · | · | · | · | · | 12.0 | 4.1 | 2.3 | 0.5 |
| Jalil Bethea | SG | 6-5 | JR | Transfer | #6 | 3.9 | 1.7 | 0.5 | 8.0 | 9.9 | 4.4 | 1.7 | 0.8 |
| Jermal Jones | SG | 6-4 | FR | Recruit | #144 | · | · | · | · | 9.5 | 3.6 | 1.2 | 0.8 |
| Dominique Diomande | SF | 6-7 | JR | Transfer | · | 1.9 | 1.3 | 0.1 | 7.2 | 8.8 | 2.9 | 1.8 | 0.3 |
| Ibrahim Souare | PF | 6-9 | SR | Transfer | · | 0.9 | 1.9 | 0.2 | 8.3 | 8.0 | 1.8 | 1.8 | 0.3 |
| Macari Moore | PG | 6-3 | SO | Returning | #208 | 1.4 | 0.9 | 0.8 | 6.0 | 7.7 | 2.5 | 1.0 | 0.8 |
| Benjamin Mayhew | SF | 6-4 | SR | Walk-on | · | · | · | · | · | · | · | · | · |
| Jajuan Nelson | PF | 6-7 | 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.