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.
32 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 | Tue Nov 3, time TBA | Cleveland State #298 | Home | −19.3 | 96% |
| 2 | Fri Nov 6, 7:00 PM ET | Saint Louis #34 | Neutral at Enterprise Center | +2.6 | 41% |
| 3 | Mon Nov 9, time TBA | SIU Edwardsville #255 | Home | −16.5 | 93% |
| 4 | Sun Nov 15, 2:30 PM ET | Marquette #68 | Neutral at United Center Legends Classic | −2.1 | 58% |
| 5 | Wed Nov 18, 9:00 PM ET | Alcorn State #352 | Home | −24.5 | 99% |
| 6 | Fri Nov 20, time TBA | Le Moyne #311 | Home | −20.5 | 97% |
| 7 | Tue Nov 24, time TBA | Evansville #286 | Home | −18.2 | 95% |
| 8 | Fri Nov 27, time TBA | Arkansas-Pine Bluff #320 | Home | −21.5 | 97% |
| 9 | Tue Dec 1, 7:00 PM ET | Pittsburgh #83 | Home ACC/SEC Men's Challenge | −6.2 | 71% |
| 10 | Sun Dec 6, 5:00 PM ET | Kansas #14 | Neutral at T-Mobile Center | +6.6 | 27% |
| 11 | Sat Dec 12, 7:00 PM ET | Nebraska #15 | Neutral at T-Mobile Center Bad Boy Mowers Series | +6.3 | 28% |
| 12 | Fri Dec 18, 6:00 PM ET | Indiana #38 | Away Bad Boy Mowers Series | +3.6 | 37% |
| 13 | Sun Dec 20, 7:30 PM ET | Illinois #5 Top 5 hardest | Neutral at Enterprise Center | +9.1 | 20% |
| 14 | Tue Dec 22, 8:00 PM ET | Chicago State #342 | Home | −22.9 | 98% |
| 15 | Sat Jan 2, 4:00 PM ET | Arkansas #16 Top 5 hardest | Away · conference | +8.3 | 23% |
| 16 | Tue Jan 5, 9:00 PM ET | Texas A&M #37 | Home · conference | −0.3 | 51% |
| 17 | Sat Jan 9, 4:00 PM ET | Kentucky #26 | Home · conference | +2.4 | 41% |
| 18 | Wed Jan 13, 7:00 PM ET | Tennessee #11 Top 5 hardest | Away · conference | +9.5 | 20% |
| 19 | Sat Jan 16, 1:00 PM ET | South Carolina #100 | Home · conference | −8.1 | 77% |
| 20 | Tue Jan 19, 7:00 PM ET | Oklahoma #32 | Away · conference | +4.5 | 34% |
| 21 | Sat Jan 23, 8:00 PM ET | Vanderbilt #18 Top 5 hardest | Away · conference | +7.2 | 26% |
| 22 | Tue Jan 26, 9:00 PM ET | Alabama #23 | Home · conference | +2.8 | 40% |
| 23 | Sat Jan 30, 6:00 PM ET | Ole Miss #59 | Home · conference | −3.1 | 61% |
| 24 | Wed Feb 3, 8:00 PM ET | Mississippi State #88 | Away · conference | −3.0 | 61% |
| 25 | Sat Feb 6, 1:00 PM ET | Tennessee #11 | Home · conference | +5.5 | 31% |
| 26 | Sat Feb 13, 12:00 PM ET | Florida #4 Top 5 hardest | Away · conference | +12.1 | 14% |
| 27 | Tue Feb 16, 7:00 PM ET | Oklahoma #32 | Home · conference | +0.5 | 48% |
| 28 | Sat Feb 20, 12:00 PM ET | Auburn #36 | Away · conference | +4.2 | 35% |
| 29 | Tue Feb 23, 7:00 PM ET | Arkansas #16 | Home · conference | +4.1 | 36% |
| 30 | Sat Feb 27, 6:00 PM ET | Georgia #40 | Away · conference | +3.8 | 37% |
| 31 | Tue Mar 2, 7:00 PM ET | Texas #20 | Away · conference | +7.0 | 26% |
| 32 | Sat Mar 6, 2:00 PM ET | LSU #53 | Home · conference | −2.9 | 60% |
Spread is from Missouri'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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jordan Crawford | PG | 6-2 | SR | Transfer | · | 14.4 | 2.9 | 1.4 | 31.0 | 19.6 | 8.0 | 1.8 | 0.9 |
| Cord Stansberry | SG | 6-4 | SR | Transfer | · | 14.1 | 4.0 | 2.1 | 30.0 | 19.1 | 8.4 | 2.4 | 1.3 |
| Jamier Jones | SF | 6-6 | SO | Transfer | #39 | 11.9 | 4.5 | 1.4 | 25.7 | 17.5 | 8.8 | 3.4 | 1.0 |
| Bryson Tiller | PF | 6-11 | SO | Transfer | #76 | 7.9 | 6.1 | 1.0 | 25.9 | 17.4 | 6.4 | 4.3 | 0.8 |
| Kennard Davis Jr. | SG | 6-6 | SR | Transfer | #224 | 8.5 | 2.7 | 1.3 | 29.6 | 17.0 | 5.9 | 2.0 | 0.8 |
| Jason Crowe Jr. | PG | 6-4 | FR | Recruit | #8 | · | · | · | · | 17.0 | 6.4 | 2.1 | 1.4 |
| Jaylen Carey | PF | 6-8 | SR | Transfer | · | 7.4 | 6.0 | 1.3 | 18.5 | 15.8 | 7.0 | 5.0 | 1.2 |
| Trent Pierce | SF | 6-10 | SR | Returning | #106 | 10.4 | 3.8 | 1.2 | 28.4 | 14.2 | 5.9 | 2.0 | 0.8 |
| Toni Bryant | PF | 6-10 | FR | Recruit | #25 | · | · | · | · | 14.0 | 5.1 | 2.9 | 0.7 |
| Aidan Chronister | SF | 6-7 | FR | Recruit | #133 | · | · | · | · | 9.4 | 3.4 | 1.9 | 0.5 |
| Luke Northweather | C | 6-11 | SR | Returning | · | 3.0 | 2.4 | 0.6 | 12.4 | 9.1 | 2.6 | 1.8 | 0.4 |
| Trent Burns | C | 7-5 | SO | Returning | #94 | 2.0 | 1.8 | 0.1 | 8.2 | 7.3 | 2.4 | 1.8 | 0.2 |
| Annor Boateng | SG | 6-6 | JR | Returning | #32 | 2.7 | 1.8 | 0.3 | 11.5 | 6.7 | 2.0 | 0.9 | 0.4 |
| Nicholas Randall | SF | 6-9 | SO | Returning | #122 | 0.7 | 1.0 | 0.1 | 5.5 | 5.2 | 1.5 | 0.8 | 0.3 |
| Mark Mitchell | PF | 6-9 | SR | Returning | #24 | 18.3 | 5.2 | 3.6 | 33.8 | · | · | · | · |
| CJ Gunn | SG | 6-7 | SR | Transfer | #179 | 13.1 | 3.7 | 1.9 | 27.7 | · | · | · | · |
| Aaron Rowe | PG | 6-2 | RS FR | Returning | #104 | · | · | · | · | · | · | · | · |
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.