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 14.6
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 | Tue Nov 3, 7:00 PM ET | Wagner #331 | Home | −14.8 | 91% |
| 2 | Fri Nov 6, 4:00 PM ET | Massachusetts #234 | Neutral at TD Garden Hall of Fame Series - Boston | −7.2 | 74% |
| 3 | Tue Nov 10, 7:00 PM ET | Maryland Eastern Shore #338 | Home | −14.6 | 91% |
| 4 | Sun Nov 15, 1:30 PM ET | New Hampshire #350 | Home | −17.1 | 94% |
| 5 | Wed Nov 18, 8:00 PM ET | Harvard #178 | Away | −2.4 | 59% |
| 6 | Sun Nov 22, 5:00 PM ET | NJIT #345 | Home | −16.3 | 93% |
| 7 | Thu Nov 26, 1:30 PM ET | UCF #47 | Neutral at State Farm Field House ESPN Events Invitational - Magic Bracket | +7.3 | 25% |
| 8 | Fri Nov 27, 4:30 PM ET | Cincinnati #25 Top 5 hardest | Neutral at State Farm Field House ESPN Events Invitational - Magic Bracket | +11.6 | 15% |
| 9 | Tue Dec 1, 5:00 PM ET | Georgia #40 | Away ACC/SEC Men's Challenge | +11.2 | 15% |
| 10 | Sat Dec 5, 7:00 PM ET | UMass Lowell #258 | Home | −10.1 | 82% |
| 11 | Wed Dec 9, 9:00 PM ET | Northeastern #303 | Home | −12.6 | 87% |
| 12 | Sat Dec 12, 12:00 PM ET | George Washington #103 | Home | −1.2 | 54% |
| 13 | Sun Dec 20, 12:00 PM ET | New Haven #282 | Home | −10.4 | 83% |
| 14 | Tue Dec 22, 7:00 PM ET | Stonehill #334 | Home | −14.9 | 91% |
| 15 | Sat Jan 2, 4:00 PM ET | North Carolina #33 | Home · conference | +7.6 | 24% |
| 16 | Tue Jan 5, 9:00 PM ET | Clemson #19 | Home · conference | +9.6 | 19% |
| 17 | Sat Jan 9, 8:00 PM ET | Virginia Tech #52 | Away · conference | +8.2 | 23% |
| 18 | Wed Jan 13, 8:00 PM ET | Virginia #22 Top 5 hardest | Away · conference | +13.5 | 11% |
| 19 | Sat Jan 16, 7:00 PM ET | Duke #1 Top 5 hardest | Home · conference | +17.3 | 6% |
| 20 | Tue Jan 19, 7:00 PM ET | Syracuse #56 | Away · conference | +8.1 | 23% |
| 21 | Sat Jan 23, 7:00 PM ET | Pittsburgh #83 | Away · conference | +4.5 | 34% |
| 22 | Wed Jan 27, 7:00 PM ET | Louisville #9 Top 5 hardest | Home · conference | +13.6 | 11% |
| 23 | Tue Feb 2, 6:00 PM ET | Wake Forest #72 | Away · conference | +6.0 | 29% |
| 24 | Sat Feb 6, 5:30 PM ET | Notre Dame #74 | Home · conference | +1.8 | 44% |
| 25 | Tue Feb 9, 9:00 PM ET | Georgia Tech #112 | Home · conference | −2.2 | 58% |
| 26 | Sat Feb 13, 1:00 PM ET | NC State #29 Top 5 hardest | Away · conference | +12.7 | 12% |
| 27 | Tue Feb 16, 7:00 PM ET | SMU #50 | Home · conference | +4.8 | 33% |
| 28 | Sat Feb 20, 12:00 PM ET | Virginia Tech #52 | Home · conference | +4.2 | 35% |
| 29 | Wed Feb 24, 9:00 PM ET | California #94 | Away · conference | +3.8 | 37% |
| 30 | Sat Feb 27, 8:00 PM ET | Stanford #76 | Away · conference | +5.6 | 31% |
| 31 | Wed Mar 3, 6:30 PM ET | Florida State #82 | Home · conference | +0.9 | 47% |
| 32 | Sat Mar 6, 2:00 PM ET | Notre Dame #74 | Away · conference | +5.7 | 30% |
Spread is from Boston College's side: a minus sign means favored. Opponent numbers are ATO model ranks out of 364. Neutral sites carry no home edge.
15 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ernest Shelton | SG | 6-5 | SR | Transfer | · | 15.9 | 3.1 | 0.9 | 36.8 | 22.2 | 9.2 | 1.9 | 0.7 |
| Money Williams | PG | 6-4 | SR | Transfer | · | 20.6 | 4.3 | 4.7 | 31.2 | 21.6 | 12.7 | 2.9 | 2.8 |
| Armoni Zeigler | SG | 6-4 | SR | Transfer | · | 12.5 | 5.1 | 3.3 | 32.4 | 20.8 | 7.4 | 3.0 | 1.9 |
| Brandon Benjamin | PF | 6-8 | SO | Transfer | · | 14.2 | 10.4 | 1.2 | 31.3 | 20.5 | 8.5 | 6.2 | 0.8 |
| Andrija Bukumirovic | SF | 6-7 | SR | Transfer | · | 13.8 | 7.8 | 1.0 | 29.3 | 20.0 | 8.5 | 5.0 | 0.7 |
| Luke Hunger | PF | 6-10 | SR | Transfer | #199 | 8.4 | 5.1 | 0.9 | 19.1 | 17.1 | 7.3 | 4.3 | 0.8 |
| JB Frankel | SG | 6-3 | SR | Transfer | · | 5.9 | 2.0 | 1.9 | 20.7 | 14.9 | 4.6 | 1.5 | 1.3 |
| Aly Tounkara | C | 7-0 | JR | Transfer | · | 4.3 | 5.5 | 0.5 | 18.2 | 14.5 | 3.7 | 3.9 | 0.5 |
| Colby Duggan | SF | 6-7 | SR | Transfer | · | 9.3 | 2.4 | 2.3 | 28.0 | 13.5 | 4.5 | 1.6 | 1.0 |
| Jacob Furphy | SG | 6-5 | SO | Transfer | #178 | 0.4 | 0.1 | 0.0 | 2.5 | 6.4 | 2.2 | 0.7 | 0.4 |
| Will Eggemeier | PG | 6-3 | SR | Walk-on | · | 0.0 | 0.0 | 0.0 | 1.0 | 6.3 | 2.4 | 0.8 | 0.5 |
| Jameson O'Toole | SG | 6-3 | SR | Walk-on | · | 0.9 | 0.8 | 0.4 | 3.4 | · | · | · | · |
| Jack Bailey | PF | 6-10 | RS FR | Returning | #206 | · | · | · | · | · | · | · | · |
| Jordan Ghee | PG | 6-4 | FR | Recruit | · | · | · | · | · | · | · | · | · |
| Zak Smrekar | SF | 6-6 | FR | International | · | · | · | · | · | · | · | · | · |
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.