Sat, Oct 14 2023
·
Week 7
·
🏟 Brigham Field at Huskie Stadium
DeKalb, IL
·
Turf
·
23,595 cap
Ohio✈ 393 mi-1 hr TZ
Matchup Prediction
Ohio
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Ohio entering this game.
Momentum Control
61.3%
Ohio wins
Lean
Game Control
75.9%
Ohio wins
Solid
Vegas Spread
Ohio -5.5
O/U 45.0
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
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/26 | Ohio at San Diego State | +2.0L13–20 | 48.5 | L13–20 | U | N |
| Sat 9/2 | Ohio vs Long Island University | -34.5W27–10 | 58.0 | W27–10 | U | N |
| Sat 9/9 | Ohio at Florida Atlantic | +3.5W17–10 | 61.5 | W17–10 | U | Y |
| Sat 9/16 | Ohio vs Iowa State | +1.5W10–7 | 42.0 | W10–7 | U | Y |
| Sat 9/23 | Ohio at Bowling Green | -13.0W38–7 | 45.0 | W38–7 | U | Y |
| — Bye Week — | ||||||
| Sat 10/7 | Ohio vs Kent State | -24.5W42–17 | 45.5 | W42–17 | O | Y |
| Sat 10/14 | Ohio at Northern Illinois | -5.5L13–23 | 45.0 | L13–23 | U | N |
| Sat 10/21 | Ohio vs Western Michigan | -16.5W20–17 | 52.0 | W20–17 | U | N |
| Sat 10/28 | Ohio vs Miami (OH) | -7.5L16–30 | 39.0 | L16–30 | O | N |
| — Bye Week — | ||||||
| Tue 11/7 | Ohio at Buffalo | -9.5W20–10 | 45.5 | W20–10 | U | Y |
| Wed 11/15 | Ohio vs Central Michigan | -11.5W34–20 | 48.5 | W34–20 | O | Y |
| Fri 11/24 | Ohio at Akron | -13.5W25–14 | 41.5 | W25–14 | U | N |
| Sat 12/16 | Ohio vs Georgia Southern | +1.5W41–21 | 48.5 | W41–21 | O | Y |
Northern Illinois 2023 Schedule
Northern Illinois's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Northern Illinois at Boston College | +8.0W27–24 | 50.0 | W27–24 | O | Y |
| Sat 9/9 | Northern Illinois vs Southern Illinois | -6.5L11–14 | 58.5 | L11–14 | U | N |
| Sat 9/16 | Northern Illinois at Nebraska | +11.5L11–35 | 42.5 | L11–35 | O | N |
| Sat 9/23 | Northern Illinois vs Tulsa | -3.5L14–22 | 54.5 | L14–22 | U | N |
| Sat 9/30 | Northern Illinois at Toledo | +13.0L33–35 | 48.0 | L33–35 | O | Y |
| Sat 10/7 | Northern Illinois at Akron | -4.0W55–14 | 42.5 | W55–14 | O | Y |
| Sat 10/14 | Northern Illinois vs Ohio | +5.5W23–13 | 45.0 | W23–13 | U | Y |
| Sat 10/21 | Northern Illinois vs Eastern Michigan | -11.5W20–13 | 43.5 | W20–13 | U | N |
| — Bye Week — | ||||||
| Tue 10/31 | Northern Illinois at Central Michigan | -3.0L31–37 | 48.0 | L31–37 | O | N |
| Tue 11/7 | Northern Illinois vs Ball State | -9.5L17–20 | 43.5 | L17–20 | U | N |
| Tue 11/14 | Northern Illinois vs Western Michigan | -4.5W24–0 | 55.5 | W24–0 | U | Y |
| Sat 11/25 | Northern Illinois at Kent State | -20.5W37–27 | 44.5 | W37–27 | O | N |
| Sat 12/23 | Northern Illinois vs Arkansas State | +2.5W21–19 | 54.0 | W21–19 | U | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2023 season
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
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 · 2023 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?
Ohio Edge
Ohio +0.20
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 5 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Ohio Edge
Ohio +25.9
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 6 games this season
Actual Result
CSS Battle
Northern Illinois
3 — 2 sequences
✗ Predicted incorrectly
GC Battle
Northern Illinois
47.3 — 30.8 GC score
✗ Predicted incorrectly
Game Result
Northern Illinois won by 10
✗ Model missed it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Ohio with a large edge. Historically, dominant teams like this are fully priced into the spread — the agreed-upon team covers just 50.2% of the time. The metrics predict game control better than they beat the number.
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
Northern Illinois
Thomas Hammock #1
18–29 (38%)
· Yr 5 at school
OC
Eric Eidsness
Yr 3
#1
DC
Nick Benedetto
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 ✓