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Georgia Tech vs. Stanford Prediction, Odds & Pick

Prediction, odds and the model's read

Stanford StadiumConference game

Our model's read

Model win probability
GT 51%
Model line
GT −0.4
Gridpex modelGT 51% · STAN 49%
Pick Georgia TechModel line GT −0.4

Scouting report

2026 projection · last season, roster and staff

Where Georgia Tech gets at Stanford: 33rd at surviving second and twelve, against a unit 103rd at closing out passing downs. Stanford projects no clear way in against Georgia Tech. Georgia Tech is also 35th at staying out of the backfield, against a unit 93rd.

HowGTattacksSTAN

  • 1

    Trust the offense behind schedule

    surviving second and twelve · projected

    GT
    #33 of 138
    STAN
    #103 of 138
  • 2

    Expect clean run lanes

    getting stopped at the line · projected

    GT
    #35 of 138
    STAN
    #93 of 138
  • 3

    Expect a clean pocket

    sacks and tackles for loss · projected

    GT
    #35 of 138
    STAN
    #92 of 138

The two teams

Georgia Tech

run-leaning

Georgia Tech runs it: Brent Key's offenses have been run-leaning across 3 seasons. The strengths are offensive, led by 19th in the push up front. The way in is 132nd at hitting chunk plays.

On fourth down he goes for it about as often as his peers do from the same spots (+0.1%). Against what the expected-points model recommends he is −27.2% — the profession as a whole is negative on this.

Georgia Tech has played 1 game against a genuinely tough slate, adjusted for here. That football carries about 0% of what is below; the rest is still the preseason projection.

Projected strengths

  • Offensethe push the line gets
    #19
    projected
  • Offensemoving the ball on the ground
    #21
    projected
  • Offensefirst and second down
    #33
    projected

Projected soft spots

  • Offensehitting chunk plays
    #132
    projected

Stanford

Stanford is in year 1 under Tavita Pritchard. The strengths are defensive, led by 28th at defending the run. The way in is 132nd at running it, and they are 123rd in the push up front.

Stanford has played 2 games against an average slate, adjusted for here. That football carries about 0% of what is below; the rest is still the preseason projection.

Projected strengths

  • Defenserunning it
    #28
    projected

Projected soft spots

  • Offenserunning it
    #132
    projected
  • Offensethe push the line gets
    #123
    projected
  • Offensefirst and second down
    #121
    projected

Ranks are national. Nothing here is last season's number — carrying one forward is measurably worse than saying nothing — and in-season figures are adjusted for who was actually played. This describes the matchup; it is not a prediction and not a pick.

Head coaches only — there is no free feed for coordinators, so on a program where the head coach does not call the offense this describes the staff he hired. Play-calling identity is a style, not a grade: throwing more than the situations warrant is not better than throwing less than they warrant.

Pregame line
Pregame total
Model line
GT −0.4
Projected total

Model prediction

how the number is built
Power rating (Elo)
STAN 1354
GT 1553
Projected spread
STAN +0.4
incl. home edge
Model pick
GT
51% to win
Market spread
sportsbook line
Model vs market
Agrees
aligned w/ market
Win prob: model / mkt
49%
STAN (no market)

Our model simulates the game drive by drive from each side's opponent-adjusted efficiency (STAN Elo 1354, GT Elo 1553 for reference), with home-field advantage. That projects STAN +0.4 (49% 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

Where the game is won

2026 national rank · right is better

offensethe defense it faces

  • Moving the ball

    GT100th109thSTAN
    STAN82nd38thGT
  • Through the air

    GT64th135thSTAN
    STAN51st24thGT
  • On the ground

    GT131st37thSTAN
    STAN98th119thGT
  • Staying on the field

    GT88th125thSTAN
    STAN87th94thGT
  • Taking care of it

    GT31st30thSTAN
    STAN1st118thGT

Each bar runs from last in the country on the left to 1st on the right. The filled span is the gap between the offense and the defense it faces.

Season form — 2026

nationally ranked
GT2026 season · national rank shownSTAN
288.0121st
Total yards / game
391.079th
5.3100th
Yards / play
5.882nd
237.064th
Passing yards / game
265.551st
51.0131st
Rushing yards / game
125.598th
38.5%88th
3rd down %
38.7%87th
307.066th
Yards allowed / game
435.5116th
41.2%94th
3rd down % allowed
53.3%125th
-189th
Turnover margin
+314th
9.0116th
Penalties / game
8.5107th

The matchup, in context

series history + adjusted profiles
Opponent-adjusted profile2026
GT STAN
+6.8 (#44)CORE overall-5.3 (#88)
+3 / -4offense / defense-2 / +3
0.67points / drive1.54
1.56allowed / drive2.78
33%three-and-outs36%
+4pass over expected+4

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.

Pro

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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FAQ

Who will win Georgia Tech vs. Stanford?

Gridpex's model favors Georgia Tech with a 51% win probability.

What's the predicted spread for Georgia Tech vs. Stanford?

The model projects Georgia Tech by 0.4.

What time is Georgia Tech vs. Stanford and what channel is it on?

Sat, Sep 26, 10:30 PM ET, at Stanford Stadium.

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 →

Model estimates for informational and entertainment purposes only. Not betting advice. 21+. If you or someone you know has a gambling problem, call 1-800-GAMBLER. Data: CollegeFootballData.