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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 · 2 games in, blended with the projection

Where Texas Tech gets at Baylor: 33rd at staying out of the backfield, against a unit 100th at stuffing runs at the line. Where Baylor gets at Texas Tech: 81st at hitting chunk plays, against a unit 132nd at keeping everything in front of them. Texas Tech is also 11th at running it, against a unit 48th.

HowTTUattacksBAY

  • 1

    Expect clean run lanes

    getting stopped at the line · 23% this season, 2 games

    TTU14.3%
    #33 of 138
    BAY23.5%
    #100 of 138
  • 2

    Run it

    running it · 22% this season, 2 games

    TTU+0.16
    #11 of 138
    BAY-0.15
    #48 of 138

HowBAYattacksTTU

  • 1

    Take shots

    hitting chunk plays · 52% this season, 2 games

    BAY1.23
    #81 of 138
    TTU1.78
    #132 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. The way in is 132nd at keeping everything in front of them.

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 −13.3% — the profession as a whole is negative on this.

Texas Tech has played 2 games against an average slate, adjusted for here. That football carries about 23% of what is below; the rest is still the preseason projection.

Strengths

  • Defensestaying on schedule through the air
    33%
    #1 of 138
  • Defenserunning it
    -0.13
    #1 of 138
  • Defensefirst and second down
    27%
    #1 of 138

Soft spots

  • Defensehitting chunk plays
    1.78
    #132 of 138

Baylor

balanced

Baylor is in year 7 under Dave Aranda, whose offenses have been balanced. The strengths are on both sides of the ball, led by 19th at surviving second and twelve.

On fourth down he goes for it more often than his peers do from the same spots (+12.0%). Against what the expected-points model recommends he is −1.1% — the profession as a whole is negative on this.

Baylor has played 2 games against an average slate, adjusted for here. That football carries about 23% of what is below; the rest is still the preseason projection.

Strengths

  • Offensesurviving second and twelve
    45%
    #19 of 138
  • Defenseturning trips inside the 40 into points
    1.00
    #22 of 138
  • Offensemoving the ball on the ground
    50%
    #26 of 138

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 1845
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 1845 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

    TTU94th22ndBAY
    BAY107th69thTTU
  • Through the air

    TTU59th43rdBAY
    BAY15th121stTTU
  • On the ground

    TTU75th31stBAY
    BAY70th13thTTU
  • Staying on the field

    TTU47th100thBAY
    BAY68th54thTTU
  • Taking care of it

    TTU47th22ndBAY
    BAY124th76thTTU

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
411.572nd
Total yards / game
494.027th
5.694th
Yards / play
5.4107th
247.559th
Passing yards / game
326.515th
164.075th
Rushing yards / game
167.570th
46.4%47th
3rd down %
41.7%68th
333.076th
Yards allowed / game
249.528th
33.3%54th
3rd down % allowed
41.2%100th
069th
Turnover margin
-190th
6.046th
Penalties / game
7.076th

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
+10.5 (#36)CORE overall+17.1 (#20)
+2 / -8offense / defense+9 / -8
2.69points / drive1.42
2.00allowed / drive1.42
31%three-and-outs25%
-2pass over expected+3

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.