Sat, Aug 30 2025
·
Week 1
·
🏟 Memorial Stadium
Bloomington, IN
·
Turf
·
52,959 cap
Old Dominion✈ 577 miSame TZ
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
Indiana -23.5
O/U 54.5
DraftKings
Advanced Stats
All 4 factors agree → Indiana
· 83.1% ATS historically when all four align
↓ See full breakdown
Old Dominion 2025 Schedule
Old Dominion's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Old Dominion at Indiana | +23.5L14–27 | 54.5 | L14–27 | U | Y |
| Sat 9/6 | Old Dominion vs North Carolina Central | -22.0W54–6 | 50.5 | W54–6 | O | Y |
| Sat 9/13 | Old Dominion at Virginia Tech | +5.5W45–26 | 50.5 | W45–26 | O | Y |
| — Bye Week — | ||||||
| Sat 9/27 | Old Dominion vs Liberty | -14.5W21–7 | 53.5 | W21–7 | U | N |
| Sat 10/4 | Old Dominion vs Coastal Carolina | -18.5W47–7 | 53.5 | W47–7 | O | Y |
| Sat 10/11 | Old Dominion at Marshall | -14.5L24–48 | 57.5 | L24–48 | O | N |
| Sat 10/18 | Old Dominion at James Madison | +3.0L27–63 | 47.5 | L27–63 | O | N |
| Sat 10/25 | Old Dominion vs App State | -12.5W24–21 | 60.5 | W24–21 | U | N |
| Sat 11/1 | Old Dominion at UL Monroe | -16.5W31–6 | 55.5 | W31–6 | U | Y |
| — Bye Week — | ||||||
| Thu 11/13 | Old Dominion vs Troy | -9.5W33–0 | 53.5 | W33–0 | U | Y |
| Sat 11/22 | Old Dominion at Georgia Southern | -10.0W45–10 | 62.0 | W45–10 | U | Y |
| Sat 11/29 | Old Dominion vs Georgia State | -29.0W27–10 | 58.5 | W27–10 | U | N |
| Wed 12/17 | Old Dominion vs South Florida | +4.0W24–10 | 52.5 | W24–10 | U | Y |
Indiana 2025 Schedule
Indiana's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Indiana vs Old Dominion | -23.5W27–14 | 54.5 | W27–14 | U | N |
| Sat 9/6 | Indiana vs Kennesaw State | -35.5W56–9 | 51.5 | W56–9 | O | Y |
| Fri 9/12 | Indiana vs Indiana State | -47.5W73–0 | 60.0 | W73–0 | O | Y |
| Sat 9/20 | Indiana vs Illinois | -7.0W63–10 | 51.5 | W63–10 | O | Y |
| Sat 9/27 | Indiana at Iowa | -9.5W20–15 | 47.5 | W20–15 | U | N |
| — Bye Week — | ||||||
| Sat 10/11 | Indiana at Oregon | +7.0W30–20 | 51.5 | W30–20 | U | Y |
| Sat 10/18 | Indiana vs Michigan State | -26.5W38–13 | 49.5 | W38–13 | O | N |
| Sat 10/25 | Indiana vs UCLA | -26.5W56–6 | 53.5 | W56–6 | O | Y |
| Sat 11/1 | Indiana at Maryland | -21.0W55–10 | 50.5 | W55–10 | O | Y |
| Sat 11/8 | Indiana at Penn State | -13.5W27–24 | 50.5 | W27–24 | O | N |
| Sat 11/15 | Indiana vs Wisconsin | -28.5W31–7 | 43.5 | W31–7 | U | N |
| — Bye Week — | ||||||
| Fri 11/28 | Indiana at Purdue | -28.5W56–3 | 53.5 | W56–3 | O | Y |
| Sat 12/6 | Indiana vs Ohio State | +5.5W13–10 | 48.5 | W13–10 | U | Y |
| Thu 1/1 | Indiana vs Alabama | -7.5W38–3 | 46.5 | W38–3 | U | Y |
| Fri 1/9 | Indiana vs Oregon | -3.0W56–22 | 50.5 | W56–22 | O | Y |
| Mon 1/19 | Indiana vs Miami | -7.5W27–21 | 46.5 | W27–21 | O | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2025 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Indiana
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Indiana
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Indiana
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
PPA Passing
Pass efficiency edge · Strong predictor
Havoc Total
Def. disruption rate · Strong predictor
TFLs, sacks, PBUs, forced fumbles — higher is better
Points Per Opp
Drive-finishing edge · Strong predictor
Success Rate
Play consistency edge · Solid predictor
Field Position
Avg start (lower=better) · Solid predictor
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Advanced stats sourced from CFBD · 2025 season ·
Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Old Dominion Edge
Old Dominion +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?
Old Dominion Edge
Old Dominion +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
Indiana
1 — 0 sequences
✗ Predicted incorrectly
GC Battle
Indiana
84.7 — 8.4 GC score
✗ Predicted incorrectly
Game Result
Indiana won by 13
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Indiana, 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
Old Dominion
Ricky Rahne #1
20–30 (40%)
· Yr 6 at school
OC
Kevin Decker
Yr 3
#1
DC
Blake Seiler
Yr 3
#1
Indiana
Curt Cignetti #1
11–1 (92%)
· Yr 2 at school
OC
Mike Shanahan
Yr 2
#1
DC
Bryant Haines
Yr 2
#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: Momentum Control is a great measure for predicting game outcome but NOT an 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: Game Control is another great measure for predicting game outcome but NOT an 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 ✓
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: Momentum Control is a great measure for predicting game outcome but NOT an 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: Game Control is another great measure for predicting game outcome but NOT an 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 ✓