Clemson vs. Georgia Tech: Final Score & Recap
Final score, recap & advanced stats
CLEMTeam statsGT
- Q4 0:00GTAidan Birr 55 Yd Field Goal 21–24
- Q4 3:26CLEMAdam Randall 2 Yd Run (Nolan Hauser Kick)21–21
- Q4 10:02GTHaynes King 1 Yd Run (Malik Rutherford Pass to Dean Patterson for Two-Point Conversion)14–21
- Q3 9:36CLEMBryant Wesco Jr. 73 Yd pass from Cade Klubnik (Nolan Hauser Kick)14–13
- Q2 0:49CLEMCade Klubnik 1 Yd Run (Nolan Hauser Kick)7–13
- Q2 7:46GTAidan Birr 42 Yd Field Goal 0–13
- Q2 14:55GTJamal Haynes 5 Yd Run (Aidan Birr Kick)0–10
- Q1 5:50GTAidan Birr 40 Yd Field Goal 0–3
How the model called it
- PassCade Klubnik 15/26, 207 YDS, 1 TD, 1 INT
- RushAdam Randall 15 CAR, 80 YDS, 1 TD
- RecBryant Wesco Jr. 7 REC, 126 YDS, 1 TD
- PassHaynes King 20/28, 211 YDS
- RushHaynes King 25 CAR, 103 YDS, 1 TD
- RecEric Rivers Jr. 3 REC, 72 YDS
This exact spot, historically
empirical, no ratingsCLEM up 1 entering the 4th quarter. Across 1,678 historically comparable game states (within ±2 pts and ±3 min, from 3,056 games):
- Q4 3:26CLEM +59%
Adam Randall run for 2 yds for a TD (Nolan Hauser KICK)
- Q4 10:02GT +40%
Haynes King run for 1 yd for a TD (Malik Rutherford pass to Dean Patterson for Two-Point Conversion)
- Q4 3:19GT +31%
Haynes King run for no gain to the GT 25
- Q3 9:36CLEM +26%
Cade Klubnik pass complete to Bryant Wesco Jr. for 73 yds for a TD (Nolan Hauser KICK)
- Q2 0:49CLEM +20%
Cade Klubnik run for 1 yd for a TD (Nolan Hauser KICK)
- Q2 14:55GT +19%
Jamal Haynes run for 5 yds for a TD (Aidan Birr KICK)
FAQ
What was the final score of Clemson vs. Georgia Tech?
Clemson 21, Georgia Tech 24.
Did Gridpex's model pick hit?
No — the model picked CLEM, which didn't hit. We report the misses too.
| CLEM | GT | |
|---|---|---|
| 381 | Total yards | 358 |
| 207 | Passing yards | 211 |
| 174 | Rushing yards | 147 |
| 17 | First downs | 18 |
| 7-12 | 3rd down | 8-15 |
| 1-1 | 4th down | 0-2 |
| 15/26 | Comp/Att | 20/28 |
| 8.0 | Yards per pass | 7.5 |
| 5.0 | Yards per rush | 3.5 |
| 2 | Turnovers | 0 |
| 2-25 | Penalties | 3-16 |
| 27:55 | Possession | 32:05 |
Costliest call
Q1 1:40 CLEM field goal on 4th & 3 at GT 35. The model preferred go for it, a gap of 0.58 points.
Drive chart
every possession, start to finish- Q4 0:00GTAidan Birr 55 Yd Field Goal 21–24
- Q4 3:26CLEMAdam Randall 2 Yd Run (Nolan Hauser Kick)21–21
- Q4 10:02GTHaynes King 1 Yd Run (Malik Rutherford Pass to Dean Patterson for Two-Point Conversion)14–21
- Q3 9:36CLEMBryant Wesco Jr. 73 Yd pass from Cade Klubnik (Nolan Hauser Kick)14–13
- Q2 0:49CLEMCade Klubnik 1 Yd Run (Nolan Hauser Kick)7–13
- Q2 7:46GTAidan Birr 42 Yd Field Goal 0–13
- Q2 14:55GTJamal Haynes 5 Yd Run (Aidan Birr Kick)0–10
- Q1 5:50GTAidan Birr 40 Yd Field Goal 0–3
Model prediction
how the number is builtOur model simulates the game drive by drive from each side's opponent-adjusted efficiency (GT Elo 1557, CLEM Elo 1696 for reference), with home-field advantage. That projects GT +3.2 (43% to win), essentially in line with the market.
Why that percentage is worth reading: across 604 graded in-season games, the calls this model put near 58% came in at 58.2%. The full calibration table is published, bin by bin. Early in the season the cold-start path runs instead and calibrates less well (Brier 0.2028 against 0.1889).
Model as of Sep 15 · through week 2 · drive simulation
Season form — 2025
nationally rankedThe matchup, in context
series history + adjusted profiles#108 of 112 in 2025 by biggest miss · #95 of 129 in 2025 by longest odds · #14 of 57 in 2025 by biggest poll gap.
The 2025 upset archive →Georgia Tech leads 52–34–2 · 38% have been one-possession games
| CLEM | GT | |
|---|---|---|
| +4.9 (#56) | CORE overall | +10.6 (#38) |
| +2 / -3 | offense / defense | +13 / +3 |
| 2.25 | points / drive | 2.86 |
| 1.84 | allowed / drive | 2.39 |
| 26% | three-and-outs | 22% |
| +9 | pass over expected | -1 |
Bold is the side ahead. CORE strips the situation from every play and solves the schedule out across the league, so these compare two teams that never met.
Key matchups
The analyst read: each team's offense splits crossed against the opponent's defense, with the edges called out.
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Where this number comes from. Every projection on this page is produced by the same model, run before kickoff on opponent-adjusted efficiency, power ratings and situational data — walk-forward validated on eleven seasons and never adjusted after the fact. How the model works →