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Old Dominion vs. App State Prediction, Odds & Pick

Prediction, odds and the model's read

Kidd Brewer StadiumConference game

Our model's read

Model win probability
ODU 58%
Model line
ODU −3.2
Gridpex modelODU 58% · APP 42%
Pick Old DominionModel line ODU −3.2

Scouting report

2026 projection · last season, roster and staff

Where Old Dominion gets at App State: 35th at moving the ball on the ground, against a unit 110th at shutting down the ground game. App State projects no clear way in against Old Dominion. Old Dominion is also 23rd at staying out of the backfield, against a unit 96th.

HowODUattacksAPP

  • 1

    Lean on the run

    moving the ball on the ground · projected

    ODU
    #35 of 138
    APP
    #110 of 138
  • 2

    Expect clean run lanes

    getting stopped at the line · projected

    ODU
    #23 of 138
    APP
    #96 of 138
  • 3

    Win first and second down

    first and second down · projected

    ODU
    #52 of 138
    APP
    #118 of 138

The two teams

Old Dominion

balanced

Old Dominion is in year 7 under Ricky Rahne, whose offenses have been balanced. The strengths are defensive, led by 3rd at keeping everything in front of them.

On fourth down he goes for it about as often as his peers do from the same spots (−2.3%). Against what the expected-points model recommends he is −31.7% — the profession as a whole is negative on this.

Old Dominion 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

  • Defensehitting chunk plays
    #3
    projected
  • Defensestaying on schedule through the air
    #22
    projected
  • Defensesurviving second and twelve
    #22
    projected

App State

App State is in year 2 under Dowell Loggains. The strengths are defensive, led by 28th at keeping everything in front of them. The way in is 118th at keeping opponents off schedule through the air, and they are 118th on early downs defensively.

App State 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

  • Defensehitting chunk plays
    #28
    projected

Projected soft spots

  • Defensestaying on schedule through the air
    #118
    projected
  • Defensefirst and second down
    #118
    projected
  • Defensesurviving second and twelve
    #111
    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
ODU −3.2
Projected total

Model prediction

how the number is built
Power rating (Elo)
APP 1322
ODU 1288
Projected spread
APP +3.2
incl. home edge
Model pick
ODU
58% to win
Market spread
sportsbook line
Model vs market
Agrees
aligned w/ market
Win prob: model / mkt
42%
APP (no market)

Our model simulates the game drive by drive from each side's opponent-adjusted efficiency (APP Elo 1322, ODU Elo 1288 for reference), with home-field advantage. That projects APP +3.2 (42% 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

    ODU75th74thAPP
    APP28th48thODU
  • Through the air

    ODU116th82ndAPP
    APP29th78thODU
  • On the ground

    ODU73rd79thAPP
    APP40th67thODU
  • Staying on the field

    ODU80th44thAPP
    APP106th82ndODU
  • Taking care of it

    ODU129th14thAPP
    APP31st6thODU

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
ODU2026 season · national rank shownAPP
314.5111th
Total yards / game
521.023rd
5.975th
Yards / play
7.228th
162.0116th
Passing yards / game
307.529th
152.573rd
Rushing yards / game
213.540th
40.9%80th
3rd down %
33.3%106th
318.068th
Yards allowed / game
333.579th
38.9%82nd
3rd down % allowed
28.6%44th
066th
Turnover margin
+314th
6.052nd
Penalties / game
8.5107th

The matchup, in context

series history + adjusted profiles
Opponent-adjusted profile2026
ODU APP
+4.3 (#55)CORE overall-8.2 (#102)
-2 / -6offense / defense-5 / +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 Old Dominion vs. App State?

Gridpex's model favors Old Dominion with a 58% win probability.

What's the predicted spread for Old Dominion vs. App State?

The model projects Old Dominion by 3.2.

What time is Old Dominion vs. App State and what channel is it on?

Time TBD, at Kidd Brewer 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.