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.
30 games · 18 in conference · expected wins 22.6
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, 6:00 PM ET | Wofford #270 | Home | −24.8 | 99% |
| 2 | Mon Nov 9, time TBA | Radford #269 | Home | −25.7 | 99% |
| 3 | Fri Nov 13, time TBA | Tennessee State #199 | Home | −23.0 | 98% |
| 4 | Tue Nov 17, 9:00 PM ET | Michigan State #12 | Home | −2.5 | 59% |
| 5 | Fri Nov 20, 7:00 PM ET | Coastal Carolina #266 | Home | −24.5 | 99% |
| 6 | Tue Nov 24, 3:00 PM ET | Maryland #97 | Neutral at Michelob ULTRA Arena Players Era Sixteen | −12.8 | 88% |
| 7 | Tue Dec 1, 7:00 PM ET | Florida State #82 | Home ACC/SEC Men's Challenge | −14.2 | 90% |
| 8 | Sun Dec 6, 7:00 PM ET | NC State #29 | Neutral at Bridgestone Arena Bad Boy Mowers Series | −4.1 | 65% |
| 9 | Fri Dec 11, 8:00 PM ET | Purdue #21 Top 5 hardest | Away | −0.8 | 53% |
| 10 | Wed Dec 16, 8:00 PM ET | Morehead State #279 | Home | −24.8 | 99% |
| 11 | Sun Dec 20, 4:00 PM ET | Marist #195 | Home | −21.3 | 97% |
| 12 | Tue Dec 29, time TBA | Norfolk State #337 | Home | −30.0 | >99% |
| 13 | Sat Jan 2, 2:00 PM ET | Vanderbilt #18 | Home · conference | −4.6 | 66% |
| 14 | Wed Jan 6, 7:00 PM ET | Auburn #36 | Away · conference | −3.5 | 62% |
| 15 | Sat Jan 9, 8:30 PM ET | LSU #53 | Away · conference | −6.3 | 72% |
| 16 | Wed Jan 13, 7:00 PM ET | Missouri #48 | Home · conference | −9.5 | 80% |
| 17 | Sat Jan 16, 12:00 PM ET | Arkansas #16 | Home · conference | −3.9 | 64% |
| 18 | Sat Jan 23, 2:00 PM ET | Kentucky #26 Top 5 hardest | Away · conference | −1.2 | 54% |
| 19 | Tue Jan 26, 7:00 PM ET | Texas A&M #37 | Away · conference | −3.9 | 64% |
| 20 | Sat Jan 30, time TBA | Florida #4 Top 5 hardest | Home · conference | +0.0 | 50% |
| 21 | Wed Feb 3, 7:00 PM ET | Georgia #40 | Home · conference | −8.5 | 78% |
| 22 | Sat Feb 6, 1:00 PM ET | Missouri #48 | Away · conference | −5.5 | 69% |
| 23 | Wed Feb 10, 7:00 PM ET | Oklahoma #32 | Away · conference | −3.0 | 61% |
| 24 | Sat Feb 13, 4:00 PM ET | Kentucky #26 | Home · conference | −5.2 | 68% |
| 25 | Wed Feb 17, 7:00 PM ET | Ole Miss #59 | Away · conference | −6.5 | 72% |
| 26 | Sat Feb 20, 2:00 PM ET | Alabama #23 | Home · conference | −5.3 | 68% |
| 27 | Tue Feb 23, 7:00 PM ET | South Carolina #100 | Home · conference | −15.4 | 92% |
| 28 | Sat Feb 27, time TBA | Texas #20 Top 5 hardest | Away · conference | −0.6 | 52% |
| 29 | Tue Mar 2, 6:00 PM ET | Mississippi State #88 | Home · conference | −14.7 | 91% |
| 30 | Sat Mar 6, 2:00 PM ET | Vanderbilt #18 Top 5 hardest | Away · conference | −0.5 | 52% |
Spread is from Tennessee'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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Juke Harris | SF | 6-7 | JR | Transfer | #94 | 21.4 | 6.5 | 1.9 | 35.1 | 17.2 | 11.2 | 3.2 | 1.1 |
| Tyler Lundblade | SG | 6-5 | SR | Transfer | · | 15.6 | 2.7 | 1.8 | 34.3 | 17.2 | 7.7 | 1.4 | 1.0 |
| Dai Dai Ames | PG | 6-2 | SR | Transfer | #68 | 16.9 | 2.0 | 2.2 | 31.8 | 16.1 | 8.7 | 1.2 | 1.2 |
| Miles Rubin | C | 6-10 | SR | Transfer | #204 | 11.3 | 7.1 | 2.3 | 29.7 | 15.4 | 6.0 | 3.7 | 1.1 |
| Terrence Hill Jr. | PG | 6-3 | JR | Transfer | · | 15.0 | 2.7 | 2.8 | 25.0 | 15.1 | 8.9 | 1.7 | 1.7 |
| Jalen Haralson | SG | 6-7 | SO | Transfer | #20 | 16.2 | 4.0 | 2.6 | 26.6 | 14.2 | 8.8 | 2.4 | 1.4 |
| Jalen Washington | PF | 6-10 | SR | Transfer | #71 | 8.9 | 5.6 | 0.9 | 20.6 | 14.2 | 6.6 | 4.0 | 0.7 |
| DeWayne Brown II | PF | 6-8 | SO | Returning | #95 | 4.8 | 3.6 | 0.9 | 14.7 | 9.6 | 3.5 | 2.3 | 0.6 |
| Ralph Scott | SF | 6-8 | FR | Recruit | #77 | · | · | · | · | 8.4 | 3.1 | 1.7 | 0.4 |
| Manny Green | SG | 6-7 | FR | Recruit | #153 | · | · | · | · | 7.3 | 2.6 | 1.5 | 0.4 |
| Marquis Clark | PG | 6-1 | FR | Recruit | #224 | · | · | · | · | 7.3 | 2.7 | 0.9 | 0.6 |
| Troy Henderson | PG | 6-1 | SO | Returning | #251 | 1.8 | 0.4 | 1.0 | 6.9 | 6.4 | 2.1 | 0.6 | 0.7 |
| Christian Fermin | C | 6-10 | RS SR | Transfer | #125 | 0.8 | 2.5 | 0.8 | 13.0 | 6.0 | 1.8 | 1.2 | 0.3 |
| Campbell Duncan | SF | 6-6 | JR | Walk-on | · | 0.0 | 1.0 | 0.0 | 2.0 | 4.4 | 1.6 | 0.6 | 0.3 |
| Gavin Paull | PG | 5-11 | JR | Walk-on | · | 0.0 | 0.0 | 0.0 | 2.0 | 4.3 | 1.6 | 0.5 | 0.3 |
| Braeden Lue | PF | 6-9 | JR | Transfer | · | 10.9 | 5.3 | 1.2 | 26.5 | · | · | · | · |
| Chris Washington Jr. | SF | 6-9 | FR | Recruit | #57 | · | · | · | · | · | · | · | · |
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.