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 19.3
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 | New Haven #282 | Home | −16.5 | 93% |
| 2 | Thu Nov 5, time TBA | Central Connecticut #302 | Home | −18.1 | 95% |
| 3 | Mon Nov 9, 6:30 PM ET | Indiana #38 | Neutral at Gainbridge Fieldhouse Bad Boy Mowers Series | +2.6 | 41% |
| 4 | Sun Nov 15, 7:00 PM ET | St. John's #17 Top 5 hardest | Away | +9.2 | 20% |
| 5 | Wed Nov 18, 8:00 PM ET | Cornell #171 | Home | −13.2 | 89% |
| 6 | Sat Nov 21, time TBA | Lafayette #327 | Home | −20.8 | 97% |
| 7 | Wed Nov 25, time TBA | UAlbany #292 | Home | −17.5 | 94% |
| 8 | Tue Dec 1, 9:00 PM ET | Oklahoma #32 | Away ACC/SEC Men's Challenge | +5.5 | 31% |
| 9 | Tue Dec 8, time TBA | Colgate #235 | Home | −15.2 | 92% |
| 10 | Sat Dec 12, 5:00 PM ET | Mercyhurst #294 | Home | −17.3 | 94% |
| 11 | Wed Dec 16, time TBA | Canisius #339 | Home | −21.1 | 97% |
| 12 | Sat Dec 19, time TBA | Providence #46 | Neutral at TD Garden Hall of Fame Series - Orlando | +1.3 | 45% |
| 13 | Tue Dec 22, 4:00 PM ET | Binghamton #351 | Home | −22.9 | 98% |
| 14 | Tue Dec 29, 6:00 PM ET | Florida State #82 | Away · conference | −1.3 | 55% |
| 15 | Sat Jan 2, 12:00 PM ET | Georgia Tech #112 | Home · conference | −8.7 | 79% |
| 16 | Tue Jan 5, 7:00 PM ET | Duke #1 Top 5 hardest | Home · conference | +11.6 | 15% |
| 17 | Sat Jan 9, 3:00 PM ET | Miami #24 Top 5 hardest | Away · conference | +7.6 | 24% |
| 18 | Tue Jan 12, 7:00 PM ET | Pittsburgh #83 | Away · conference | −1.4 | 55% |
| 19 | Sat Jan 16, 2:00 PM ET | Louisville #9 Top 5 hardest | Home · conference | +7.4 | 25% |
| 20 | Tue Jan 19, 7:00 PM ET | Boston College #111 | Home · conference | −8.1 | 77% |
| 21 | Sat Jan 23, 12:00 PM ET | North Carolina #33 | Home · conference | +1.5 | 45% |
| 22 | Wed Jan 27, 11:00 PM ET | Stanford #76 | Away · conference | −0.5 | 52% |
| 23 | Sat Jan 30, 5:30 PM ET | California #94 | Away · conference | −2.4 | 59% |
| 24 | Wed Feb 3, 9:00 PM ET | Virginia #22 | Home · conference | +3.7 | 37% |
| 25 | Sat Feb 6, 11:00 AM ET | Rutgers #95 | Neutral at Barclays Center Empire Classic | −4.5 | 66% |
| 26 | Wed Feb 10, 7:00 PM ET | Clemson #19 Top 5 hardest | Away · conference | +7.8 | 24% |
| 27 | Wed Feb 17, 9:00 PM ET | Stanford #76 | Home · conference | −4.5 | 66% |
| 28 | Sat Feb 20, 2:15 PM ET | SMU #50 | Away · conference | +2.7 | 40% |
| 29 | Tue Feb 23, 8:00 PM ET | Pittsburgh #83 | Home · conference | −5.3 | 68% |
| 30 | Sat Feb 27, 8:00 PM ET | Notre Dame #74 | Away · conference | −0.3 | 51% |
| 31 | Wed Mar 3, 9:00 PM ET | Virginia Tech #52 | Away · conference | +2.2 | 42% |
| 32 | Sat Mar 6, 5:30 PM ET | Wake Forest #72 | Home · conference | −4.4 | 65% |
Spread is from Syracuse'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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Gavin Doty | SG | 6-5 | JR | Transfer | · | 18.0 | 6.9 | 2.2 | 36.8 | 21.9 | 10.2 | 3.9 | 1.3 |
| Amarri Monroe | PF | 6-7 | SR | Transfer | · | 15.6 | 8.3 | 2.2 | 33.3 | 21.5 | 9.5 | 5.1 | 1.3 |
| Aiden Tobiason | SG | 6-6 | JR | Transfer | · | 15.3 | 3.7 | 2.0 | 35.3 | 21.3 | 9.1 | 2.3 | 1.3 |
| Francis Folefac | SF | 6-7 | SO | Transfer | · | 11.3 | 5.3 | 2.2 | 28.1 | 18.5 | 7.3 | 3.5 | 1.3 |
| Luke Wilson | C | 6-10 | JR | Transfer | · | 10.7 | 8.3 | 0.6 | 28.1 | 18.4 | 6.4 | 5.1 | 0.4 |
| Garwey Dual | PG | 6-5 | SR | Transfer | #40 | 8.4 | 2.9 | 4.4 | 26.5 | 17.5 | 5.8 | 1.9 | 2.6 |
| Kiyan Anthony | SG | 6-5 | SO | Returning | #33 | 8.0 | 1.4 | 0.9 | 18.7 | 13.1 | 5.8 | 1.2 | 0.8 |
| Sadiq White Jr. | PF | 6-8 | SO | Returning | #31 | 6.1 | 3.3 | 0.4 | 15.1 | 12.7 | 5.5 | 2.8 | 0.5 |
| Tasman Goodrick | PF | 6-10 | SR | Transfer | · | 9.7 | 7.3 | 1.3 | 23.3 | 9.8 | 3.6 | 2.5 | 0.5 |
| Ryan Moesch | PG | 6-0 | FR | Recruit | #151 | · | · | · | · | 9.1 | 3.4 | 1.1 | 0.7 |
| Calvin Russell III | SF | 6-5 | SO | Walk-on | · | 3.0 | 1.0 | 0.0 | 2.0 | 5.9 | 2.3 | 0.8 | 0.5 |
| Noah Lobdell | PG | 6-0 | JR | Walk-on | · | 0.0 | 0.0 | 0.0 | 1.0 | 4.9 | 1.8 | 0.6 | 0.4 |
| Abdramane Siby | C | 7-0 | FR | International | · | · | · | · | · | · | · | · | · |
| Ethan Butler | SG | 6-4 | FR | Walk-on | · | · | · | · | · | · | · | · | · |
| Iker Martinez | C | 7-0 | FR | Recruit | · | · | · | · | · | · | · | · | · |
| Mark Morano | 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.