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Texas Tech vs. Baylor Prediction, Odds & Pick

Prediction, odds and the model's read

McLane StadiumConference game

Our model's read

Model win probability
TTU 96%
Model line
TTU −25.4
Gridpex modelTTU 96% · BAY 4%
Pick Texas TechModel line TTU −25.4

Scouting report

2026 projection · last season, roster and staff

Where Texas Tech gets at Baylor: 34th at staying out of the backfield, against a unit 118th at stuffing runs at the line. Baylor projects no clear way in against Texas Tech. Texas Tech is also 16th on first and second down, against a unit 90th.

HowTTUattacksBAY

  • 1

    Expect clean run lanes

    getting stopped at the line · projected

    TTU
    #34 of 138
    BAY
    #118 of 138
  • 2

    Win first and second down

    first and second down · projected

    TTU
    #16 of 138
    BAY
    #90 of 138
  • 3

    Run it

    running it · projected

    TTU
    #7 of 138
    BAY
    #79 of 138

The two teams

Texas Tech

pass-leaning

Texas Tech throws it: Joey McGuire's offenses have been pass-leaning across 4 seasons. The strengths are defensive, led by 1st at keeping opponents off schedule through the air.

On fourth down he goes for it more often than his peers do from the same spots (+10.0%). Against what the expected-points model recommends he is −13.5% — the profession as a whole is negative on this.

Texas Tech has not played an FBS opponent yet, so this is the projection: last season regressed toward the mean, plus returning production, recruiting, talent and whether the staff is the same one.

Projected strengths

  • Defensestaying on schedule through the air
    #1
    projected
  • Defenserunning it
    #1
    projected
  • Defensefirst and second down
    #1
    projected

Baylor

balanced

Baylor is in year 7 under Dave Aranda, whose offenses have been balanced. The strengths are offensive, led by 25th at staying on schedule through the air. The way in is 118th at stuffing runs at the line.

On fourth down he goes for it more often than his peers do from the same spots (+12.1%). Against what the expected-points model recommends he is −1.3% — the profession as a whole is negative on this.

Baylor has played 1 game 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

  • Offensestaying on schedule through the air
    #25
    projected
  • Offensefirst and second down
    #25
    projected
  • Offensesurviving second and twelve
    #25
    projected

Projected soft spots

  • Defensegetting stopped at the line
    #118
    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
TTU −25.4
Projected total

Model prediction

how the number is built
Power rating (Elo)
BAY 1506
TTU 1870
Projected spread
BAY +25.4
incl. home edge
Model pick
TTU
96% to win
Market spread
sportsbook line
Model vs market
Agrees
aligned w/ market
Win prob: model / mkt
4%
BAY (no market)

Our model simulates the game drive by drive from each side's opponent-adjusted efficiency (BAY Elo 1506, TTU Elo 1870 for reference), with home-field advantage. That projects BAY +25.4 (4% 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

    TTU55th75thBAY
    BAY122nd14thTTU
  • Through the air

    TTU33rd114thBAY
    BAY20th20thTTU
  • On the ground

    TTU62nd83rdBAY
    BAY116th30thTTU
  • Staying on the field

    TTU75th131stBAY
    BAY112th85thTTU
  • Taking care of it

    TTU31st30thBAY
    BAY68th88thTTU

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
TTU2026 season · national rank shownBAY
471.039th
Total yards / game
436.054th
6.555th
Yards / play
4.4122nd
298.033rd
Passing yards / game
333.020th
173.062nd
Rushing yards / game
103.0116th
41.7%75th
3rd down %
31.8%112th
194.017th
Yards allowed / game
389.0100th
40.0%85th
3rd down % allowed
55.6%131st
066th
Turnover margin
+136th
5.038th
Penalties / game
5.038th

The matchup, in context

series history + adjusted profiles
The series83 meetings since 1929

Baylor leads 4240–1 · 35% have been one-possession games

Opponent-adjusted profile2026
TTU BAY
+19.2 (#15)CORE overall+12.1 (#33)
+4 / -15offense / defense+6 / -6

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 Texas Tech vs. Baylor?

Gridpex's model favors Texas Tech with a 96% win probability.

What's the predicted spread for Texas Tech vs. Baylor?

The model projects Texas Tech by 25.4.

What time is Texas Tech vs. Baylor and what channel is it on?

Time TBD, at McLane 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.