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.
31 games · 18 in conference · expected wins 16.8
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, time TBA | Maryland Eastern Shore #338 | Home | −18.8 | 96% |
| 2 | Thu Nov 5, 6:00 PM ET | Vanderbilt #18 Top 5 hardest | Away | +10.7 | 17% |
| 3 | Tue Nov 10, time TBA | Charleston Southern #260 | Home | −15.0 | 91% |
| 4 | Sat Nov 14, time TBA | Southern Utah #217 | Home | −13.0 | 88% |
| 5 | Tue Nov 17, time TBA | Monmouth #205 | Home | −11.8 | 86% |
| 6 | Sat Nov 21, time TBA | Western Carolina #189 | Home | −11.1 | 84% |
| 7 | Wed Nov 25, 7:30 PM ET | Mississippi State #88 | Neutral at Imperial Arena Battle 4 Atlantis - Championship Bracket | −1.8 | 56% |
| 8 | Tue Dec 1, 9:00 PM ET | LSU #53 | Away ACC/SEC Men's Challenge | +4.4 | 34% |
| 9 | Sun Dec 6, 1:00 PM ET | Massachusetts #234 | Neutral at MassMutual Center Basketball Hall of Fame Classic | −11.5 | 85% |
| 10 | Tue Dec 8, time TBA | Hampton #224 | Home | −12.7 | 88% |
| 11 | Tue Dec 15, 9:00 PM ET | Gardner-Webb #362 | Home | −24.7 | 99% |
| 12 | Sat Dec 19, 3:30 PM ET | West Virginia #51 | Neutral at First Horizon Coliseum Holiday Hoopfest | +2.6 | 41% |
| 13 | Tue Dec 22, time TBA | Presbyterian #251 | Home | −13.5 | 89% |
| 14 | Sat Jan 2, 3:30 PM ET | Virginia Tech #52 | Home · conference | +0.4 | 49% |
| 15 | Tue Jan 5, 7:00 PM ET | SMU #50 | Away · conference | +5.0 | 32% |
| 16 | Sat Jan 9, 12:00 PM ET | Clemson #19 Top 5 hardest | Away · conference | +10.0 | 18% |
| 17 | Tue Jan 12, 7:00 PM ET | Notre Dame #74 | Home · conference | −2.1 | 58% |
| 18 | Sat Jan 16, 4:30 PM ET | Florida State #82 | Home · conference | −3.2 | 61% |
| 19 | Wed Jan 20, 9:00 PM ET | Duke #1 Top 5 hardest | Home · conference | +13.9 | 10% |
| 20 | Sat Jan 23, 12:00 PM ET | NC State #29 | Away · conference | +9.0 | 21% |
| 21 | Sat Jan 30, 12:00 PM ET | Miami #24 Top 5 hardest | Away · conference | +10.0 | 18% |
| 22 | Tue Feb 2, 6:00 PM ET | Boston College #111 | Home · conference | −6.0 | 71% |
| 23 | Sat Feb 6, 3:00 PM ET | Louisville #9 Top 5 hardest | Away · conference | +14.1 | 10% |
| 24 | Wed Feb 10, 7:00 PM ET | NC State #29 | Home · conference | +4.8 | 33% |
| 25 | Sat Feb 13, 7:00 PM ET | Pittsburgh #83 | Home · conference | −3.2 | 61% |
| 26 | Wed Feb 17, 9:00 PM ET | Notre Dame #74 | Away · conference | +2.0 | 43% |
| 27 | Sat Feb 20, 7:00 PM ET | North Carolina #33 | Home · conference | +3.8 | 37% |
| 28 | Wed Feb 24, 11:00 PM ET | Stanford #76 | Away · conference | +1.8 | 44% |
| 29 | Sat Feb 27, 4:30 PM ET | California #94 | Away · conference | −0.1 | 50% |
| 30 | Wed Mar 3, 8:30 PM ET | Georgia Tech #112 | Home · conference | −6.4 | 72% |
| 31 | Sat Mar 6, 5:30 PM ET | Syracuse #56 | Away · conference | +4.4 | 35% |
Spread is from Wake Forest'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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kevair Kennedy | PG | 6-2 | SO | Transfer | · | 18.4 | 4.6 | 4.2 | 36.8 | 25.6 | 12.1 | 3.1 | 2.7 |
| Justin Ray | SG | 6-3 | JR | Transfer | · | 11.3 | 2.1 | 1.2 | 28.5 | 20.8 | 8.0 | 1.7 | 1.0 |
| Ring Nyeri | PF | 6-8 | JR | Transfer | #212 | 8.5 | 6.3 | 0.6 | 25.8 | 19.2 | 6.0 | 4.4 | 0.5 |
| Xander Pintelon | C | 6-11 | SR | Transfer | · | 6.2 | 3.7 | 0.7 | 18.2 | 16.0 | 5.6 | 3.3 | 0.6 |
| Jamari McDowell | SG | 6-5 | JR | Transfer | #100 | 3.3 | 1.6 | 1.1 | 17.3 | 14.0 | 3.9 | 1.5 | 1.1 |
| Gallagher Placide | PF | 6-9 | FR | Recruit | #102 | · | · | · | · | 12.1 | 4.4 | 2.5 | 0.6 |
| Gavin Placide | PF | 6-11 | FR | Recruit | #83 | · | · | · | · | 12.1 | 4.4 | 2.5 | 0.6 |
| Antonio Dorn | C | 7-0 | JR | Transfer | · | 2.6 | 1.8 | 0.4 | 8.6 | 9.9 | 3.4 | 2.3 | 0.5 |
| Isaac Carr | PG | 6-4 | SO | Returning | #244 | 2.2 | 1.7 | 1.2 | 11.3 | 9.6 | 2.7 | 1.4 | 1.0 |
| Vincent Ricchiuti | PF | 6-6 | SR | Walk-on | · | 1.5 | 0.0 | 0.0 | 2.0 | 6.9 | 2.6 | 1.4 | 0.3 |
| Will Underwood | SG | 6-3 | SR | Walk-on | · | 0.0 | 0.5 | 0.0 | 1.8 | 6.0 | 2.2 | 0.8 | 0.5 |
| Anson Beard Jr. | SG | 6-5 | SO | Walk-on | · | 0.0 | 0.3 | 0.0 | 2.0 | 5.8 | 2.1 | 0.7 | 0.5 |
| Justin Abson | PF | 6-9 | SR | Transfer | · | 2.9 | 3.6 | 0.4 | 11.5 | · | · | · | · |
| Lukas Bojovic | SG | 6-6 | FR | International | · | · | · | · | · | · | · | · | · |
| Maddox Watson | SG | 6-4 | JR | Walk-on | · | · | · | · | · | · | · | · | · |
| Vincent Chaudhri | SF | 6-7 | RS FR | Transfer | #286 | · | · | · | · | · | · | · | · |
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.