Sat, Sep 25 2021
·
Week 4
·
🏟 Ryan Field
Evanston, IL
·
Turf
·
47,130 cap
Ohio✈ 348 mi-1 hr TZ
Matchup Prediction
Northwestern
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Northwestern entering this game.
Momentum Control
58.4%
Northwestern wins
Lean
Game Control
58.6%
Northwestern wins
Lean
Vegas Spread
Northwestern -13.5
O/U 47.5
teamrankings
Advanced Stats
All 4 factors agree → Ohio
· 83.1% ATS historically when all four align
↓ See full breakdown
Ohio 2021 Schedule
Ohio's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | Ohio vs Syracuse | -2.0L9–29 | 55.5 | L9–29 | U | N |
| Sat 9/11 | Ohio vs Duquesne | -28.5L26–28 | 49.0 | L26–28 | O | N |
| Thu 9/16 | Ohio at Louisiana | +18.5L14–49 | 56.5 | L14–49 | O | N |
| Sat 9/25 | Ohio at Northwestern | +13.5L6–35 | 47.5 | L6–35 | U | N |
| Sat 10/2 | Ohio at Akron | -10.0W34–17 | 55.0 | W34–17 | U | Y |
| Sat 10/9 | Ohio vs Central Michigan | +5.0L27–30 | 58.0 | L27–30 | U | Y |
| Sat 10/16 | Ohio at Buffalo | +7.5L26–27 | 54.5 | L26–27 | U | Y |
| Sat 10/23 | Ohio vs Kent State | +5.0L27–34 | 68.5 | L27–34 | U | N |
| — Bye Week — | ||||||
| Tue 11/2 | Ohio vs Miami (OH) | +7.0W35–33 | 54.5 | W35–33 | O | Y |
| Tue 11/9 | Ohio at Eastern Michigan | +6.0W34–26 | 61.5 | W34–26 | U | Y |
| Tue 11/16 | Ohio vs Toledo | +7.5L23–35 | 57.5 | L23–35 | O | N |
| Fri 11/26 | Ohio at Bowling Green | -6.0L10–21 | 48.0 | L10–21 | U | N |
Northwestern 2021 Schedule
Northwestern's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Fri 9/3 | Northwestern vs Michigan State | -3.0L21–38 | 45.5 | L21–38 | O | N |
| Sat 9/11 | Northwestern vs Indiana State | -28.5W24–6 | 46.0 | W24–6 | U | N |
| Sat 9/18 | Northwestern at Duke | -2.5L23–30 | 50.0 | L23–30 | O | N |
| Sat 9/25 | Northwestern vs Ohio | -13.5W35–6 | 47.5 | W35–6 | U | Y |
| Sat 10/2 | Northwestern at Nebraska | +11.0L7–56 | 51.5 | L7–56 | O | N |
| — Bye Week — | ||||||
| Sat 10/16 | Northwestern vs Rutgers | +2.5W21–7 | 45.0 | W21–7 | U | Y |
| Sat 10/23 | Northwestern at Michigan | +23.5L7–33 | 51.5 | L7–33 | U | N |
| Sat 10/30 | Northwestern vs Minnesota | +7.5L14–41 | 43.5 | L14–41 | O | N |
| Sat 11/6 | Northwestern vs Iowa | +11.5L12–17 | 40.5 | L12–17 | U | Y |
| Sat 11/13 | Northwestern at Wisconsin | +26.0L7–35 | 41.5 | L7–35 | O | N |
| Sat 11/20 | Northwestern vs Purdue | +11.0L14–32 | 47.5 | L14–32 | U | N |
| Sat 11/27 | Northwestern at Illinois | +7.0L14–47 | 45.0 | L14–47 | O | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2021 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 · 2021 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?
Northwestern Edge
Northwestern +0.50
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Northwestern Edge
Northwestern +10.0
GC Edge (season-to-date)
Teams with this edge win 58.6% of games historically
Based on 3 games this season
Actual Result
CSS Battle
Northwestern
2 — 0 sequences
✓ Predicted correctly
GC Battle
Northwestern
94.3 — 2.3 GC score
✓ Predicted correctly
Game Result
Northwestern won by 29
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Northwestern. Teams with this edge profile have covered 50.3% historically — essentially a coin flip against the spread.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Ohio
Tim Albin #1
0–3 (0%)
· Yr 1 at school
OC
Scott Ishpording
Yr 1
#1
DC
Pete Germano
Yr 1
#1
Northwestern
Pat Fitzgerald #1
107–83 (56%)
· Yr 16 at school
OC
Mike Bajakian
Yr 1
#1
DC
Jim O'Neil
Yr 1
#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 ✓
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 ✓