Georgia Tech vs. Colorado: Final Score & Recap
Final score, recap & advanced stats


GTTeam statsCOLO
- Q4 1:07GTHaynes King 45 Yd Run (Aidan Birr Kick)27–20
- Q4 8:25COLOKaidon Salter 7 Yd Run (Alejandro Mata Kick)20–20
- Q3 0:14GTHaynes King 17 Yd Run (Aidan Birr Kick)20–13
- Q3 6:00COLOAlejandro Mata 29 Yd Field Goal 13–13
- Q2 0:00GTAidan Birr 43 Yd Field Goal 13–10
- Q2 1:39COLOAlejandro Mata 42 Yd Field Goal 10–10
- Q2 4:33GTHaynes King 4 Yd Run (Aidan Birr Kick)10–7
- Q2 13:31GTAidan Birr 32 Yd Field Goal 3–7
- Q1 12:08COLODekalon Taylor 8 Yd pass from Kaidon Salter (Alejandro Mata Kick)0–7
How the model called it
- PassHaynes King 13/20, 143 YDS, 1 INT
- RushHaynes King 19 CAR, 156 YDS, 3 TD
- RecBailey Stockton 4 REC, 48 YDS
- PassKaidon Salter 17/28, 159 YDS, 1 TD
- RushMicah Welch 11 CAR, 64 YDS
- RecOmarion Miller 1 REC, 39 YDS
This exact spot, historically
empirical, no ratingsGT up 7 entering the 4th quarter. Across 1,299 historically comparable game states (within ±2 pts and ±3 min, from 3,056 games):
- Q4 8:25COLO +42%
Kaidon Salter run for 7 yds for a TD (Alejandro Mata KICK)
- Q4 2:43GT +34%
Haynes King run for 5 yds to the GT 44
- Q3 0:14GT +32%
Haynes King run for 17 yds for a TD (Aidan Birr KICK)
- Q4 1:07GT +30%
Haynes King run for 45 yds for a TD (Aidan Birr KICK)
- Q4 5:04COLO +24%
Kaidon Salter pass complete to Micah Welch for 8 yds to the COLO 19
- Q2 4:33GT +22%
Haynes King run for 4 yds for a TD (Aidan Birr KICK)
FAQ
What was the final score of Georgia Tech vs. Colorado?
Georgia Tech 27, Colorado 20.
Did Gridpex's model pick hit?
No — the model picked COLO, which didn't hit. We report the misses too.
| GT | COLO | |
|---|---|---|
| 463 | Total yards | 305 |
| 143 | Passing yards | 159 |
| 320 | Rushing yards | 146 |
| 27 | First downs | 19 |
| 6-11 | 3rd down | 5-13 |
| 1-1 | 4th down | 1-1 |
| 13/21 | Comp/Att | 17/29 |
| 6.8 | Yards per pass | 5.5 |
| 6.8 | Yards per rush | 4.7 |
| 3 | Turnovers | 0 |
| 8-65 | Penalties | 5-45 |
| 32:23 | Possession | 27:37 |
Costliest call
Q1 5:01 COLO punt on 4th & 1 at COLO 43. The model preferred go for it, a gap of 1.15 points.
Drive chart
every possession, start to finish- Q4 1:07GTHaynes King 45 Yd Run (Aidan Birr Kick)27–20
- Q4 8:25COLOKaidon Salter 7 Yd Run (Alejandro Mata Kick)20–20
- Q3 0:14GTHaynes King 17 Yd Run (Aidan Birr Kick)20–13
- Q3 6:00COLOAlejandro Mata 29 Yd Field Goal 13–13
- Q2 0:00GTAidan Birr 43 Yd Field Goal 13–10
- Q2 1:39COLOAlejandro Mata 42 Yd Field Goal 10–10
- Q2 4:33GTHaynes King 4 Yd Run (Aidan Birr Kick)10–7
- Q2 13:31GTAidan Birr 32 Yd Field Goal 3–7
- Q1 12:08COLODekalon Taylor 8 Yd pass from Kaidon Salter (Alejandro Mata Kick)0–7
Model prediction
how the number is builtOur model simulates the game drive by drive from each side's opponent-adjusted efficiency (COLO Elo 1634, GT Elo 1536 for reference), with home-field advantage. That projects COLO -6.3 (67% to win) — 9.8 points clear of COLO's market line of +3.5. That is a disagreement, not a betting edge — sides we favour have not covered at better than breakeven.
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| GT | COLO | |
|---|---|---|
| +10.6 (#38) | CORE overall | -11.9 (#101) |
| +13 / +3 | offense / defense | -5 / +7 |
| 2.86 | points / drive | 1.79 |
| 2.39 | allowed / drive | 2.55 |
| 22% | three-and-outs | 30% |
| -1 | 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 →








