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


MINNTeam statsGT
- Q4 6:19MINNTyler Johnson 30 Yd pass from Tanner Morgan (Emmit Carpenter Kick)34–10
- Q4 12:07MINNMohamed Ibrahim 1 Yd Run (Emmit Carpenter Kick)27–10
- Q3 0:55GTNathan Cottrell 20 Yd Run (Wesley Wells Kick)20–10
- Q3 8:24MINNMohamed Ibrahim 3 Yd Run (Emmit Carpenter Kick)20–3
- Q2 0:00GTWesley Wells 44 Yd Field Goal 13–3
- Q2 11:57MINNEmmit Carpenter 27 Yd Field Goal 13–0
- Q1 4:14MINNTyler Johnson 18 Yd pass from Tanner Morgan (Emmit Carpenter Kick)10–0
- Q1 9:42MINNEmmit Carpenter 31 Yd Field Goal 3–0
How the model called it
- PassTanner Morgan 7/13, 132 YDS, 2 TD
- RushMohamed Ibrahim 31 CAR, 224 YDS, 2 TD
- RecTyler Johnson 4 REC, 57 YDS, 2 TD
- PassTaQuon Marshall 4/9, 76 YDS
- RushTaQuon Marshall 22 CAR, 75 YDS
- RecQua Searcy 1 REC, 51 YDS
This exact spot, historically
empirical, no ratingsMINN up 10 entering the 4th quarter. Across 1,140 historically comparable game states (within ±2 pts and ±3 min, from 3,056 games):
- Q1 4:14MINN +19%
Tanner Morgan pass complete to Tyler Johnson for 18 yds for a TD (Emmit Carpenter KICK)
- Q3 0:55GT +13%
Nathan Cottrell run for 20 yds for a TD (Wesley Wells KICK)
- Q3 8:24MINN +12%
Mohamed Ibrahim run for 3 yds for a TD (Emmit Carpenter KICK)
- Q2 0:00GT +11%
Wesley Wells 44 yd FG GOOD
- Q3 0:50MINN +10%
Mohamed Ibrahim run for a loss of 1 yard to the Minn 24
- Q1 9:42MINN +8%
Emmit Carpenter 31 yd FG GOOD
FAQ
What was the final score of Minnesota vs. Georgia Tech?
Minnesota 34, Georgia Tech 10.
Did Gridpex's model pick hit?
No — the model picked GT, which didn't hit. We report the misses too.
| MINN | GT | |
|---|---|---|
| 392 | Total yards | 283 |
| 132 | Passing yards | 77 |
| 260 | Rushing yards | 206 |
| 19 | First downs | 14 |
| 7-11 | 3rd down | 4-14 |
| 0-0 | 4th down | 4-6 |
| 7/13 | Comp/Att | 5/12 |
| 10.2 | Yards per pass | 6.4 |
| 6.0 | Yards per rush | 4.7 |
| 0 | Turnovers | 1 |
| 4-30 | Penalties | 3-30 |
| 30:43 | Possession | 29:17 |
Costliest call
Q2 6:18 GT punt on 4th & 18 at MINN 37. The model preferred field goal, a gap of 0.51 points.
Drive chart
every possession, start to finish- Q4 6:19MINNTyler Johnson 30 Yd pass from Tanner Morgan (Emmit Carpenter Kick)34–10
- Q4 12:07MINNMohamed Ibrahim 1 Yd Run (Emmit Carpenter Kick)27–10
- Q3 0:55GTNathan Cottrell 20 Yd Run (Wesley Wells Kick)20–10
- Q3 8:24MINNMohamed Ibrahim 3 Yd Run (Emmit Carpenter Kick)20–3
- Q2 0:00GTWesley Wells 44 Yd Field Goal 13–3
- Q2 11:57MINNEmmit Carpenter 27 Yd Field Goal 13–0
- Q1 4:14MINNTyler Johnson 18 Yd pass from Tanner Morgan (Emmit Carpenter Kick)10–0
- Q1 9:42MINNEmmit Carpenter 31 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 1673, MINN Elo 1575 for reference), on a neutral field. That projects GT -3.9 (62% 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 — 2018
nationally rankedThe matchup, in context
series history + adjusted profiles#32 of 109 in 2018 by biggest miss · #73 of 122 in 2018 by longest odds.
The 2018 upset archive →| MINN | GT | |
|---|---|---|
| -0.3 (#66) | CORE overall | -1.6 (#75) |
| -1 / -1 | offense / defense | +9 / +11 |
| 2.27 | points / drive | 3.17 |
| 2.15 | allowed / drive | 2.85 |
| 30% | three-and-outs | 17% |
| -5 | pass over expected | -33 |
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 →
