Teams › ACC · Compare Georgia Tech with another team
Georgia Tech
Georgia Tech returns 9% of last season's minutes and rates #184 on offense and #111 on defense of 365 teams. 80% range: -5.8 to +9.0.
Why we have them here
Georgia Tech's preseason projection of +1.5 (No. 140 of 365) starts from the roster: its players' ratings, weighted by projected minutes, add up to a roll-up worth -0.1, less than the +1.0 typical of teams ranked near it. Last season's rating (No. 224 at the end of 2025-26) adds -0.6, about its neighbours' +0.1; the program's level two and three seasons back and the roster's experience and shape add +1.9. It returns 9% of last season's minutes, less than teams ranked near it (51%). The projection leans most on Colby Garland (+3.0), Victor Valdes (+0.6) and Nasir Whitlock (+0.4); the newcomer who matters most is Colby Garland, a transfer from San José State, at +3.0. Its 80% range, -5.8 to +9.0, is about as wide as that of teams ranked near it.
Generated from the published projection's own terms, not written by hand. "Teams ranked near it" are the thirty nearest in the preseason order. Preseason projection frozen 2026-10-23; how the projection is built.
Roster
Returning 9% · Transfer 56% · Freshman 14% · Other newcomer 21%
| Rank | Player | Pos | Ht | D1 yrs | Group | From | MPG | Rating | Contrib. |
|---|---|---|---|---|---|---|---|---|---|
| 286 | Colby Garland | G | 6-0 | 3 | Transfer | San José State | 30 | +4.0 | +3.0 |
| 1099 | Victor Valdes | F | 6-7 | 3 | Transfer | Troy | 26 | +1.0 | +0.6 |
| 1267 | Nasir Whitlock | G | 6-2 | 3 | Transfer | Lehigh | 31 | +0.5 | +0.4 |
| 1336 | Kayden Allen | F | 6-5 | 0 | Freshman | High school | 10 | +0.7 | +0.2 |
| 1620 | Moustapha Diop | C | 6-10 | 0 | Freshman | High school | 8 | +0.1 | +0.0 |
| 1839 | Courtland Muldrew | G | 6-3 | 1 | Transfer | Washington | 13 | -0.2 | -0.1 |
| 2405 | Kaiden Bailey | G | 6-2 | 0 | Freshman | High school | 10 | -0.9 | -0.2 |
| 2642 | Jackson Fields | F | 6-8 | 4 | Transfer | West Virginia | 12 | -1.0 | -0.3 |
| 2808 | Haiden Harper | F | 6-1 | 0 | Other newcomer | 6 | -1.6 | -0.2 | |
| 2893 | Cody Cross | F | 6-2 | 0 | Other newcomer | 6 | -1.7 | -0.3 | |
| 3352 | Vctor Valds | F | 6-7 | 0 | Other newcomer | 7 | -2.0 | -0.3 | |
| 3532 | Tylis Jordan | F | 6-9 | 0 | Other newcomer | 7 | -2.1 | -0.4 | |
| 3613 | Ilja Kurucs | F | 6-10 | 0 | Other newcomer | 7 | -2.2 | -0.4 | |
| 3865 | Jackson McVey | F | 7-1 | 0 | Other newcomer | 8 | -2.4 | -0.5 | |
| 4796 | Cole Kirouac | C | 7-0 | 1 | Returning | Georgia Tech | 10 | -3.7 | -0.9 |
| 4829 | Davi Remagen | G | 6-3 | 1 | Returning | Georgia Tech | 8 | -4.2 | -0.8 |
A player's rating is points per 100 possessions better than an average Division I player while he is on the floor. Contribution weights it by the share of a rotation slot he is projected to play, so a star on the bench and a role player who never sits both read right. Rank is among all 5,249 rated players. MPG is the projected share of a rotation slot times 40. "From" is last season's team. The bars are contribution, the player's rating times his projected share; their sum is the roll-up the projection starts from.
Schedule
| Date | Opponent | Proj. margin | Win prob. | ||
|---|---|---|---|---|---|
| Tue Nov 03 | vs |  Hampton #288 | +10.7 | 81% | |
| Fri Nov 06 | vs |  Georgia Southern #298 | +11.7 | 83% | |
| Tue Nov 10 | vs |  Eastern Kentucky #264 | +10.2 | 79% | |
| Sat Nov 14 | vs |  UNC Asheville #245 | +9.0 | 77% | |
| Tue Nov 17 | vs |  Norfolk State #300 | +11.5 | 82% | |
| Fri Nov 20 | vs |  Georgia #32 | -4.2 | 37% | |
| Tue Nov 24 | vs |  Samford #190 | +7.4 | 72% | |
| Sat Nov 28 | vs |  Alcorn State #358 | +16.5 | 91% | |
| Wed Dec 02 | at |  Mississippi State #78 | -10.8 | 19% | |
| Sun Dec 06 | N |  Murray State #117 | -1.3 | 46% | |
| Wed Dec 09 | vs |  The Citadel #345 | +14.1 | 87% | |
| Sat Dec 12 | N |  Florida #1 | -21.6 | 4% | |
| Sat Dec 19 | N |  Butler #86 | -4.4 | 36% | |
| Tue Dec 22 | vs |  Longwood #195 | +7.9 | 74% | |
| Wed Dec 30 | vs |  Duke #2 | conf | -15.3 | 11% |
| Sat Jan 02 | at |  Syracuse #71 | conf | -8.9 | 24% |
| Tue Jan 05 | vs |  Miami #18 | conf | -10.0 | 21% |
| Sat Jan 09 | vs |  Notre Dame #75 | conf | -2.7 | 41% |
| Tue Jan 12 | at |  Clemson #46 | conf | -10.7 | 19% |
| Tue Jan 19 | vs |  NC State #36 | conf | -6.6 | 30% |
| Sat Jan 23 | at |  SMU #53 | conf | -10.7 | 20% |
| Wed Jan 27 | at |  Virginia #19 | conf | -16.5 | 9% |
| Sat Jan 30 | vs |  Louisville #7 | conf | -12.8 | 15% |
| Wed Feb 03 | vs |  Stanford #69 | conf | -3.0 | 40% |
| Sat Feb 06 | at |  North Carolina #54 | conf | -11.0 | 19% |
| Tue Feb 09 | at |  Boston College #114 | conf | -4.0 | 37% |
| Tue Feb 16 | vs | Clemson #46 | conf | -5.5 | 33% |
| Sat Feb 20 | at |  Pittsburgh #68 | conf | -8.3 | 25% |
| Tue Feb 23 | at |  Florida State #90 | conf | -7.0 | 29% |
| Sat Feb 27 | vs | SMU #53 | conf | -5.1 | 34% |
| Wed Mar 03 | at |  Wake Forest #76 | conf | -8.3 | 25% |
| Sat Mar 06 | vs |  Virginia Tech #45 | conf | -5.8 | 32% |
Projected margin is from Georgia Tech's side, with home court where the game is not neutral (N). Games are the schedule as posted; tournaments and late additions appear as they are listed. Predictions are as of 2026-10-26 and reflect the roster as the model has it on that date.