Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Illinois,
while Game Control favors Iowa.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
61.3%
Illinois wins
Lean
Game Control
76%
Iowa wins
Strong
Vegas Spread
Iowa -2.5
O/U 33.5
ESPN Bet
Advanced Stats
PPA + Success Rate agree → Illinois
· 73.9% ATS historically
↓ See full breakdown
Illinois 2023 Schedule
Illinois's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Illinois vs Toledo | -7.0W30–28 | 45.5 | W30–28 | O | N |
| Fri 9/8 | Illinois at Kansas | +3.5L23–34 | 57.5 | L23–34 | U | N |
| Sat 9/16 | Illinois vs Penn State | +14.0L13–30 | 47.5 | L13–30 | U | N |
| Sat 9/23 | Illinois vs Florida Atlantic | -16.0W23–17 | 45.5 | W23–17 | U | N |
| Sat 9/30 | Illinois at Purdue | +1.0L19–44 | 54.0 | L19–44 | O | N |
| Fri 10/6 | Illinois vs Nebraska | -3.5L7–20 | 43.0 | L7–20 | U | N |
| Sat 10/14 | Illinois at Maryland | +13.5W27–24 | 52.0 | W27–24 | U | Y |
| Sat 10/21 | Illinois vs Wisconsin | +3.0L21–25 | 40.5 | L21–25 | O | N |
| — Bye Week — | ||||||
| Sat 11/4 | Illinois at Minnesota | +1.5W27–26 | 43.0 | W27–26 | O | Y |
| Sat 11/11 | Illinois vs Indiana | -4.5W48–45 | 43.5 | W48–45 | O | N |
| Sat 11/18 | Illinois at Iowa | +2.5L13–15 | 33.5 | L13–15 | U | Y |
| Sat 11/25 | Illinois vs Northwestern | -5.0L43–45 | 46.5 | L43–45 | O | N |
Iowa 2023 Schedule
Iowa's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Iowa vs Utah State | -24.0W24–14 | 43.5 | W24–14 | U | N |
| Sat 9/9 | Iowa at Iowa State | -3.5W20–13 | 35.5 | W20–13 | U | Y |
| Sat 9/16 | Iowa vs Western Michigan | -28.5W41–10 | 43.5 | W41–10 | O | Y |
| Sat 9/23 | Iowa at Penn State | +14.0L0–31 | 38.5 | L0–31 | U | N |
| Sat 9/30 | Iowa vs Michigan State | -10.0W26–16 | 36.5 | W26–16 | O | N |
| Sat 10/7 | Iowa vs Purdue | -2.5W20–14 | 38.5 | W20–14 | U | Y |
| Sat 10/14 | Iowa at Wisconsin | +8.0W15–6 | 33.5 | W15–6 | U | Y |
| Sat 10/21 | Iowa vs Minnesota | -3.0L10–12 | 30.5 | L10–12 | U | N |
| — Bye Week — | ||||||
| Sat 11/4 | Iowa vs Northwestern | -4.5W10–7 | 30.5 | W10–7 | U | N |
| Sat 11/11 | Iowa vs Rutgers | +2.5W22–0 | 27.5 | W22–0 | U | Y |
| Sat 11/18 | Iowa vs Illinois | -2.5W15–13 | 33.5 | W15–13 | U | N |
| Fri 11/24 | Iowa at Nebraska | +3.0W13–10 | 25.5 | W13–10 | U | Y |
| Sat 12/2 | Iowa vs Michigan | +23.5L0–26 | 35.0 | L0–26 | U | N |
| Mon 1/1 | Iowa vs Tennessee | +4.5L0–35 | 37.0 | L0–35 | U | N |
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
Split
Metrics disagree
Elite · 82.4% ATS
PPA + PPO + Havoc
Split
Metrics disagree
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Illinois
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?
Illinois Edge
Illinois +0.10
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 10 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Iowa Edge
Iowa +21.9
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 10 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
CSS and GC disagree on this matchup. When the metrics split, historical cover rates are essentially random — treat this as a coin flip against the spread.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Illinois
Bret Bielema #1
14–14 (50%)
· Yr 3 at school
OC
Barry Lunney Jr.
Yr 2
#1
DC
Aaron Henry
Yr 1
#1
Iowa
Kirk Ferentz #1
189–115 (62%)
· Yr 25 at school
OC
Brian Ferentz
Yr 3
#1
DC
Phil Parker
Yr 3
#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 ✓