Boston College vs. Georgia Tech: Final Score & Recap
Final score, recap & advanced stats
BCTeam statsGT
- Q4 7:24BCKye Robichaux 3 Yd Run (Liam Connor Kick)38–23
- Q4 8:44BCThomas Castellanos 43 Yd Run (Liam Connor Kick)31–23
- Q4 14:24BCKye Robichaux 2 Yd Run (Liam Connor Kick)24–23
- Q3 2:08GTAvery Boyd 19 Yd pass from Haynes King (Aidan Birr PAT failed)17–23
- Q3 12:06GTHaynes King 71 Yd Run (Aidan Birr Kick)17–17
- Q2 0:52BCThomas Castellanos 12 Yd Run (Liam Connor Kick)17–10
- Q2 6:02GTAidan Birr 46 Yd Field Goal 10–10
- Q1 1:42BCAmari Jackson 30 Yd Interception Return (Liam Connor Kick)10–7
- Q1 3:49GTJamal Haynes 16 Yd Run (Aidan Birr Kick)3–7
- Q1 8:51BCLiam Connor 24 Yd Field Goal 3–0
How the model called it
- PassThomas Castellanos 17/29, 255 YDS, 1 INT
- RushKye Robichaux 21 CAR, 165 YDS, 2 TD
- RecLewis Bond 5 REC, 72 YDS
- PassHaynes King 14/32, 204 YDS, 1 TD, 3 INT
- RushHaynes King 10 CAR, 150 YDS, 1 TD
- RecChristian Leary 4 REC, 54 YDS
This exact spot, historically
empirical, no ratingsGT up 6 entering the 4th quarter. Across 1,660 historically comparable game states (within ±2 pts and ±3 min, from 3,056 games):
- Q4 8:44BC +35%
Thomas Castellanos run for 43 yds for a TD (Liam Connor KICK)
- Q4 14:24BC +33%
Kye Robichaux run for 2 yds for a TD (Liam Connor KICK)
- Q3 12:06GT +25%
Haynes King run for 71 yds for a TD (Aidan Birr KICK)
- Q2 0:52BC +24%
Thomas Castellanos run for 12 yds for a TD (Liam Connor KICK)
- Q3 2:08GT +23%
Haynes King pass complete to Avery Boyd for 19 yds for a TD (Aidan Birr PAT MISSED)
- Q1 1:42BC +19%
Amari Jackson 30 Yd Interception Return (Liam Connor Kick)
FAQ
What was the final score of Boston College vs. Georgia Tech?
Boston College 38, Georgia Tech 23.
Did Gridpex's model pick hit?
No — the model picked GT, which didn't hit. We report the misses too.
| BC | GT | |
|---|---|---|
| 563 | Total yards | 452 |
| 255 | Passing yards | 204 |
| 308 | Rushing yards | 248 |
| 24 | First downs | 23 |
| 5-13 | 3rd down | 3-11 |
| 2-2 | 4th down | 1-1 |
| 17/29 | Comp/Att | 14/32 |
| 8.8 | Yards per pass | 6.4 |
| 7.2 | Yards per rush | 7.1 |
| 1 | Turnovers | 3 |
| 5-50 | Penalties | 5-35 |
| 33:48 | Possession | 26:12 |
Costliest call
Q1 11:02 GT punt on 4th & 4 at BC 48. The model preferred go for it, a gap of 0.43 points.
Drive chart
every possession, start to finish- Q4 7:24BCKye Robichaux 3 Yd Run (Liam Connor Kick)38–23
- Q4 8:44BCThomas Castellanos 43 Yd Run (Liam Connor Kick)31–23
- Q4 14:24BCKye Robichaux 2 Yd Run (Liam Connor Kick)24–23
- Q3 2:08GTAvery Boyd 19 Yd pass from Haynes King (Aidan Birr PAT failed)17–23
- Q3 12:06GTHaynes King 71 Yd Run (Aidan Birr Kick)17–17
- Q2 0:52BCThomas Castellanos 12 Yd Run (Liam Connor Kick)17–10
- Q2 6:02GTAidan Birr 46 Yd Field Goal 10–10
- Q1 1:42BCAmari Jackson 30 Yd Interception Return (Liam Connor Kick)10–7
- Q1 3:49GTJamal Haynes 16 Yd Run (Aidan Birr Kick)3–7
- Q1 8:51BCLiam Connor 24 Yd Field Goal 3–0
Model prediction
how the number is builtOur model simulates the game drive by drive from each side's opponent-adjusted efficiency (GT Elo 1369, BC Elo 1315 for reference), with home-field advantage. That projects GT -4.6 (63% 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 1 · through week 1 · drive simulation
Season form — 2023
nationally rankedThe matchup, in context
series history + adjusted profiles#52 of 117 in 2023 by biggest miss · #66 of 127 in 2023 by longest odds.
The 2023 upset archive →Georgia Tech leads 8–5 · 31% have been one-possession games
| BC | GT | |
|---|---|---|
| -1.5 (#68) | CORE overall | +0.5 (#58) |
| +2 / +3 | offense / defense | +7 / +6 |
| 2.28 | points / drive | 2.52 |
| 2.57 | allowed / drive | 2.72 |
| 23% | three-and-outs | 22% |
| -8 | pass over expected | -7 |
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 →