Southeastern 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 13.0
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 | Tennessee Tech #296 | Home | −14.3 | 90% |
| 2 | Thu Nov 5, time TBA | Northwestern State #291 | Home | −13.8 | 89% |
| 3 | Mon Nov 9, 7:30 PM ET | Jackson State #357 | Home | −22.1 | 98% |
| 4 | Fri Nov 13, 9:00 PM ET | Xavier #71 | Neutral at Colonial Hall Greenbrier Tip-Off | +2.5 | 41% |
| 5 | Tue Nov 17, time TBA | UCF #47 | Away | +7.4 | 25% |
| 6 | Fri Nov 20, time TBA | Tulsa #79 | Away | +3.2 | 39% |
| 7 | Wed Nov 25, 7:30 PM ET | Wake Forest #72 | Neutral at Imperial Arena Battle 4 Atlantis - Championship Bracket | +1.8 | 44% |
| 8 | Wed Dec 2, 9:15 PM ET | Georgia Tech #112 | Home ACC/SEC Men's Challenge | −4.6 | 66% |
| 9 | Mon Dec 7, 7:00 PM ET | Alabama A&M #308 | Home | −15.1 | 92% |
| 10 | Sat Dec 12, 6:30 PM ET | Marquette #68 | Away | +5.1 | 32% |
| 11 | Tue Dec 15, time TBA | Mississippi Valley State #360 | Home | −22.5 | 98% |
| 12 | Sat Dec 19, time TBA | VCU #44 | Neutral at Propst Arena | +6.1 | 29% |
| 13 | Mon Dec 28, time TBA | Campbell #163 | Home | −8.4 | 78% |
| 14 | Sat Jan 2, 6:00 PM ET | Alabama #23 | Home · conference | +8.3 | 22% |
| 15 | Wed Jan 6, 7:00 PM ET | Vanderbilt #18 Top 5 hardest | Away · conference | +12.6 | 13% |
| 16 | Sat Jan 9, 6:00 PM ET | Oklahoma #32 | Away · conference | +9.7 | 19% |
| 17 | Wed Jan 13, 9:00 PM ET | Florida #4 Top 5 hardest | Home · conference | +13.4 | 11% |
| 18 | Sat Jan 16, 3:30 PM ET | Georgia #40 | Away · conference | +9.3 | 20% |
| 19 | Wed Jan 20, 8:30 PM ET | Kentucky #26 | Home · conference | +7.6 | 24% |
| 20 | Sat Jan 23, 1:00 PM ET | South Carolina #100 | Home · conference | −3.3 | 62% |
| 21 | Tue Jan 26, 7:00 PM ET | Auburn #36 | Away · conference | +9.4 | 20% |
| 22 | Sat Jan 30, 8:30 PM ET | Arkansas #16 Top 5 hardest | Away · conference | +13.8 | 10% |
| 23 | Wed Feb 3, 8:00 PM ET | Missouri #48 | Home · conference | +3.0 | 39% |
| 24 | Sat Feb 6, 6:00 PM ET | Texas A&M #37 | Home · conference | +5.0 | 33% |
| 25 | Sat Feb 13, 8:30 PM ET | Ole Miss #59 | Away · conference | +5.9 | 29% |
| 26 | Tue Feb 16, 9:00 PM ET | Alabama #23 Top 5 hardest | Away · conference | +12.8 | 12% |
| 27 | Sat Feb 20, 6:00 PM ET | LSU #53 | Home · conference | +2.1 | 43% |
| 28 | Wed Feb 24, 7:00 PM ET | Texas #20 | Home · conference | +8.1 | 23% |
| 29 | Sat Feb 27, 1:00 PM ET | South Carolina #100 | Away · conference | +0.8 | 47% |
| 30 | Tue Mar 2, 6:00 PM ET | Tennessee #11 Top 5 hardest | Away · conference | +14.7 | 9% |
| 31 | Sat Mar 6, 4:00 PM ET | Ole Miss #59 | Home · conference | +1.8 | 43% |
Spread is from Mississippi State'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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Josh Hubbard | PG | 6-0 | SR | Returning | #110 | 22.1 | 2.5 | 3.6 | 33.3 | 22.5 | 15.4 | 1.9 | 2.6 |
| Kimani Hamilton | SF | 6-8 | SR | Transfer | #165 | 12.8 | 4.9 | 2.3 | 29.3 | 21.1 | 9.4 | 3.8 | 1.6 |
| ND Okafor | C | 6-10 | SR | Transfer | #224 | 11.0 | 5.7 | 0.9 | 23.2 | 18.8 | 8.8 | 4.5 | 0.8 |
| RJ Johnson | PG | 6-4 | SR | Transfer | · | 14.5 | 3.1 | 4.0 | 28.1 | 18.6 | 9.0 | 2.0 | 2.4 |
| Tajuan Simpkins | SG | 6-4 | SR | Transfer | · | 9.7 | 2.8 | 1.2 | 25.1 | 17.5 | 7.1 | 2.0 | 1.0 |
| Kendyl Sanders | SF | 6-8 | SO | Transfer | · | 5.2 | 3.1 | 0.7 | 20.0 | 13.5 | 4.1 | 2.3 | 0.5 |
| Thomas Bassong | PF | 6-8 | SO | Transfer | · | 5.9 | 3.5 | 0.4 | 19.3 | 13.4 | 4.6 | 2.6 | 0.4 |
| Tristan Reed | C | 6-10 | FR | Recruit | #72 | · | · | · | · | 10.4 | 3.7 | 2.6 | 0.5 |
| Willie Burnett III | SG | 6-5 | FR | Recruit | #97 | · | · | · | · | 10.4 | 3.9 | 1.3 | 0.8 |
| King Grace | SG | 6-5 | SO | Returning | #64 | 5.1 | 1.3 | 0.4 | 12.1 | 10.1 | 4.4 | 1.2 | 0.6 |
| Ashton Magee | SF | 6-7 | SO | Transfer | · | 3.0 | 1.7 | 0.2 | 11.3 | 9.6 | 2.7 | 1.6 | 0.3 |
| Jalyn Collingwood | SF | 6-7 | FR | Recruit | #128 | · | · | · | · | 8.8 | 3.2 | 1.8 | 0.4 |
| Gai Chol | C | 7-0 | SR | Returning | #195 | 1.5 | 0.8 | 0.1 | 4.3 | · | · | · | · |
| Cameren Paul | SF | 6-7 | SO | Returning | #164 | · | · | · | · | · | · | · | · |
| Kostas Kostadinov | PF | 6-10 | FR | International | · | · | · | · | · | · | · | · | · |
| Tee Bartlett | C | 6-11 | SO | Returning | #67 | · | · | · | · | · | · | · | · |
| Trevor Reed | PF | 6-8 | SR | Transfer | · | · | · | · | · | · | · | · | · |
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.