Georgia Tech vs. Virginia Tech: Final Score & Recap
Final score, recap & advanced stats
GTTeam statsVT
- Q4 0:37VTJerod Evans 7 Yd Run (Two-Point Run Conversion Failed)30–20
- Q4 4:37VTJerod Evans 8 Yd Run (Joey Slye Kick)30–14
- Q4 9:16GTMarcus Marshall 56 Yd Run (Harrison Butker Kick)30–7
- Q4 11:01GTHarrison Butker 35 Yd Field Goal 23–7
- Q3 12:40VTIsaiah Ford 5 Yd pass from Jerod Evans (Joey Slye Kick)20–7
- Q2 0:30GTMatthew Jordan 3 Yd Run (Harrison Butker Kick)20–0
- Q2 8:06GTMatthew Jordan 53 Yd Run (Harrison Butker Kick)13–0
- Q1 2:01GTHarrison Butker 39 Yd Field Goal 6–0
- Q1 10:49GTHarrison Butker 40 Yd Field Goal 3–0
How the model called it
- PassMatthew Jordan 2/7, 34 YDS
- RushMarcus Marshall 19 CAR, 143 YDS, 1 TD
- RecRicky Jeune 1 REC, 24 YDS
- PassJerod Evans 32/45, 316 YDS, 1 TD, 2 INT
- RushJerod Evans 18 CAR, 75 YDS, 2 TD
- RecIsaiah Ford 8 REC, 85 YDS, 1 TD
This exact spot, historically
empirical, no ratingsGT up 13 entering the 4th quarter. Across 1,180 historically comparable game states (within ±2 pts and ±3 min, from 3,056 games):
- Q2 8:06GT +22%
Matthew Jordan run for 53 yds for a TD, (Harrison Butker KICK)
- Q2 0:30GT +16%
Matthew Jordan run for 3 yds for a TD, (Harrison Butker KICK)
- Q3 12:40VT +16%
Jerod Evans pass complete to Isaiah Ford for 5 yds for a TD, (Joey Slye KICK)
- Q1 2:01GT +11%
Harrison Butker 39 yd FG GOOD
- Q3 5:02GT +10%
Matthew Jordan pass incomplete to Ricky Jeune
- Q4 14:01GT +10%
Matthew Jordan pass incomplete to Ricky Jeune
FAQ
What was the final score of Georgia Tech vs. Virginia Tech?
Georgia Tech 30, Virginia Tech 20.
Did Gridpex's model pick hit?
No — the model picked VT, which didn't hit. We report the misses too.
| GT | VT | |
|---|---|---|
| 343 | Total yards | 437 |
| 34 | Passing yards | 316 |
| 309 | Rushing yards | 121 |
| 15 | First downs | 25 |
| 4-14 | 3rd down | 6-14 |
| 1-1 | 4th down | 1-2 |
| 2/7 | Comp/Att | 32/47 |
| 4.9 | Yards per pass | 6.7 |
| 5.3 | Yards per rush | 3.7 |
| 1 | Turnovers | 4 |
| 7-35 | Penalties | 4-35 |
| 35:55 | Possession | 24:05 |
Costliest call
Q1 9:28 VT punt on 4th & 1 at VT 34. The model preferred go for it, a gap of 0.62 points.
Drive chart
every possession, start to finish- Q4 0:37VTJerod Evans 7 Yd Run (Two-Point Run Conversion Failed)30–20
- Q4 4:37VTJerod Evans 8 Yd Run (Joey Slye Kick)30–14
- Q4 9:16GTMarcus Marshall 56 Yd Run (Harrison Butker Kick)30–7
- Q4 11:01GTHarrison Butker 35 Yd Field Goal 23–7
- Q3 12:40VTIsaiah Ford 5 Yd pass from Jerod Evans (Joey Slye Kick)20–7
- Q2 0:30GTMatthew Jordan 3 Yd Run (Harrison Butker Kick)20–0
- Q2 8:06GTMatthew Jordan 53 Yd Run (Harrison Butker Kick)13–0
- Q1 2:01GTHarrison Butker 39 Yd Field Goal 6–0
- Q1 10:49GTHarrison Butker 40 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 (VT Elo 1814, GT Elo 1553 for reference), with home-field advantage. That projects VT -12.8 (81% 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 — 2016
nationally rankedThe matchup, in context
series history + adjusted profiles#52 of 113 in 2016 by biggest miss · #31 of 124 in 2016 by longest odds · #32 of 61 in 2016 by biggest poll gap.
The 2016 upset archive →Virginia Tech leads 12–9 · 48% have been one-possession games
| GT | VT | |
|---|---|---|
| +6.2 (#42) | CORE overall | +13.9 (#17) |
| +11 / +5 | offense / defense | +4 / -10 |
| 2.42 | points / drive | 2.51 |
| 2.34 | allowed / drive | 1.76 |
| 28% | three-and-outs | 24% |
| -26 | pass over expected | -0 |
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 →