Ohio at San Diego State Week 1 College Football Matchup Ohio at San Diego State Matchup - Week 1
Sat, Aug 26 2023 · Week 1 · 🏟 Snapdragon Stadium San Diego, CA · Turf · 35,000 cap
Ohio✈ 1,994 mi-3 hr TZ
Away
13 20
Final
📊 Punt & Rally Projection
Ohio
27
San Diego State
20
P&R Line Ohio -7
P&R Total O/U 46
Confidence 90 High
Vegas San Diego State -2 · O/U 48.5
Matchup Prediction
Toss-up — no clear edge
Neither metric shows a meaningful pre-game edge in this matchup.
Momentum Control
58.4%
Lean
Game Control
50.6%
Toss-up
Vegas Spread
San Diego State -2
O/U 48.5
William Hill (New Jersey)
Advanced Stats
All 4 factors agree → Ohio · 83.1% ATS historically when all four align
↓ See full breakdown
Ohio 2023 Schedule
Ohio's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/26Ohio at San Diego State+2.0L13–2048.5L13–20UN
Sat 9/2Ohio vs Long Island University-34.5W27–1058.0W27–10UN
Sat 9/9Ohio at Florida Atlantic+3.5W17–1061.5W17–10UY
Sat 9/16Ohio vs Iowa State+1.5W10–742.0W10–7UY
Sat 9/23Ohio at Bowling Green-13.0W38–745.0W38–7UY
— Bye Week —
Sat 10/7Ohio vs Kent State-24.5W42–1745.5W42–17OY
Sat 10/14Ohio at Northern Illinois-5.5L13–2345.0L13–23UN
Sat 10/21Ohio vs Western Michigan-16.5W20–1752.0W20–17UN
Sat 10/28Ohio vs Miami (OH)-7.5L16–3039.0L16–30ON
— Bye Week —
Tue 11/7Ohio at Buffalo-9.5W20–1045.5W20–10UY
Wed 11/15Ohio vs Central Michigan-11.5W34–2048.5W34–20OY
Fri 11/24Ohio at Akron-13.5W25–1441.5W25–14UN
Sat 12/16Ohio vs Georgia Southern+1.5W41–2148.5W41–21OY
San Diego State 2023 Schedule
San Diego State's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/26San Diego State vs Ohio-2.0W20–1348.5W20–13UY
Sat 9/2San Diego State vs Idaho State-34.5W36–2851.0W36–28ON
Sat 9/9San Diego State vs UCLA+13.0L10–3549.0L10–35UN
Sat 9/16San Diego State at Oregon State+24.5L9–2648.5L9–26UY
Fri 9/22San Diego State vs Boise State+6.5L31–3446.0L31–34OY
Sat 9/30San Diego State at Air Force+10.5L10–4943.5L10–49ON
— Bye Week —
Sat 10/14San Diego State at Hawai'i-6.0W41–3451.5W41–34OY
Sat 10/21San Diego State vs Nevada-11.0L0–648.5L0–6UN
— Bye Week —
Sat 11/4San Diego State vs Utah State+2.0L24–3256.5L24–32UN
Sat 11/11San Diego State at Colorado State+3.5L19–2246.5L19–22UY
Sat 11/18San Diego State at San José State+16.5L13–2448.5L13–24UY
Sat 11/25San Diego State vs Fresno State+5.5W33–1847.0W33–18OY
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2023 season
Ohio PPA Edge
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Ohio
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Ohio
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Ohio
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Ohio #76
+0.424
San Diego State #96
+0.162
Ohio Edge
PPA Passing
Pass efficiency edge · Strong predictor
Ohio #57
+0.581
San Diego State #91
+0.350
Ohio Edge
Havoc Total
Def. disruption rate · Strong predictor
Ohio #9
0.205
San Diego State #79
0.157
TFLs, sacks, PBUs, forced fumbles — higher is better
Ohio Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Ohio #92
+6.984
San Diego State #116
+5.643
Ohio Edge
Success Rate
Play consistency edge · Solid predictor
Ohio #33
+0.921
San Diego State #70
+0.769
Ohio Edge
Field Position
Avg start (lower=better) · Solid predictor
Ohio #18
68.8
San Diego State #14
68.4
Avg yards from own endzone to average start — lower is better · longer bar = better field position
San Diego State Edge
Advanced stats sourced from CFBD · 2023 season · Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
San Diego State Rated Higher
Overall Power Rating
Ohio
-10.4
San Diego State
3.6
Offense Rating
Ohio
7.5
San Diego State
16.6
Defense Rating (lower = better defense)
Ohio
17.8
San Diego State
13.0
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Ohio Edge
Avg sequences created per game
Ohio #49
0.00
San Diego State #93
0.00
Avg sequences allowed per game (lower is better)
Ohio #32
0.00
San Diego State #57
0.00
Ohio +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 0 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Ohio Edge
Avg GC score per game (offense)
Ohio #1
0.0
San Diego State #1
0.0
Avg GC score allowed per game (lower is better)
Ohio #27
0.0
San Diego State #92
0.0
Ohio +0.0
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 0 games this season
Actual Result
CSS Battle
San Diego State
1 — 0 sequences
✗ Predicted incorrectly
GC Battle
San Diego State
56.0 — 15.9 GC score
✗ Predicted incorrectly
Game Result
San Diego State won by 7
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on San Diego State, but the GC edge is small. When metrics agree but GC is near-neutral, the agreed-upon team has covered only 46.7% of the time historically (n=224) — potentially a fade signal.

ATS data is informational only. Past cover rates do not guarantee future results.

Coaching Matchup
Ohio
Tim Albin #1
16–14 (53%) · Yr 3 at school
OC Scott Isphording Yr 2 #1
DC Spence Nowinsky Yr 2 #1
Staff Rating
0.00 #1
San Diego State
Brady Hoke #1
25–14 (64%) · Yr 4 at school
OC Ryan Lindley Yr 1 #1
DC Kurt Mattix Yr 3 #1
Staff Rating
0.00 #1
About these metrics
Advanced Stats shows matchup-adjusted factor edges (offense vs opponent defense). Combination signals — when PPA, PPO, Success Rate, and Havoc all point the same direction — have historically predicted the SU winner in 95–97% of games and the ATS winner in 82–83% of games (2021–2025, FBS vs FBS, regular season).
Impact: Advanced Stats are the best performance based metric used to predict the outcome of games.

Momentum Control (CSS) measures consecutive scoring sequences — when a team scores, holds the opponent scoreless, then scores again. Teams entering a game with a CSS edge of +1.0 or more have won 71–78% of games historically (2021–2025, FBS vs FBS).
Impact: CSS is not a predictive ATS advantage, data shows this is already considered when lines are set.

Game Control (GC) measures win probability dominance — how thoroughly a team controlled the game from start to finish. Teams with a GC edge of +12 or more have won 67–76% of games historically. When both metrics agree, combined confidence is higher. When they split, treat as a lean at best.
Impact: GS is not a predictive ATS advantage, data shows this is already considered when lines are set.

Power Ratings are a custom-built composite of a Teams Talent, Experience & Production, Coaching & Performance Metrics. These are updated constantly with roster changes, performance once the games start for the 2026 season, injuries the team is dealing with and scheduling situations.
Impact: There are a wide range of power ratings available, we think ours is the best, you can decide for yourself