Sat, Sep 24 2022
·
Week 4
·
🏟 Commonwealth Stadium
Lexington, KY
·
Turf
·
61,000 cap
Northern Illinois✈ 352 mi+1 hr TZ
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Northern Illinois,
while Game Control favors Kentucky.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
73.7%
Northern Illinois wins
Solid
Game Control
76%
Kentucky wins
Strong
Vegas Spread
Kentucky -27
O/U 52.5
teamrankings
Advanced Stats
PPA + Success Rate agree → Kentucky
· 73.9% ATS historically
↓ See full breakdown
Northern Illinois 2022 Schedule
Northern Illinois's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 9/1 | Northern Illinois vs Eastern Illinois | -35.0W34–27 | 55.5 | W34–27 | O | N |
| Sat 9/10 | Northern Illinois at Tulsa | +6.5L35–38 | 63.0 | L35–38 | O | Y |
| Sat 9/17 | Northern Illinois vs Vanderbilt | -2.5L28–38 | 58.5 | L28–38 | O | N |
| Sat 9/24 | Northern Illinois at Kentucky | +27.0L23–31 | 52.5 | L23–31 | O | Y |
| Sat 10/1 | Northern Illinois at Ball State | -3.5L38–44 | 58.5 | L38–44 | O | N |
| Sat 10/8 | Northern Illinois vs Toledo | +6.5L32–52 | 59.0 | L32–52 | O | N |
| Sat 10/15 | Northern Illinois at Eastern Michigan | +3.5W39–10 | 64.5 | W39–10 | U | Y |
| Sat 10/22 | Northern Illinois at Ohio | -2.5L17–24 | 65.5 | L17–24 | U | N |
| — Bye Week — | ||||||
| Wed 11/2 | Northern Illinois vs Central Michigan | -4.5L22–35 | 54.0 | L22–35 | O | N |
| Wed 11/9 | Northern Illinois at Western Michigan | -1.0W24–21 | 49.0 | W24–21 | U | Y |
| Wed 11/16 | Northern Illinois vs Miami (OH) | -1.0L23–29 | 44.0 | L23–29 | O | N |
| Sat 11/26 | Northern Illinois vs Akron | -9.5L12–44 | 51.5 | L12–44 | O | N |
Kentucky 2022 Schedule
Kentucky's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | Kentucky vs Miami (OH) | -15.0W37–13 | 55.0 | W37–13 | U | Y |
| Sat 9/10 | Kentucky at Florida | +6.0W26–16 | 53.0 | W26–16 | U | Y |
| Sat 9/17 | Kentucky vs Youngstown State | -30.0W31–0 | 49.5 | W31–0 | U | Y |
| Sat 9/24 | Kentucky vs Northern Illinois | -27.0W31–23 | 52.5 | W31–23 | O | N |
| Sat 10/1 | Kentucky at Ole Miss | +6.5L19–22 | 55.0 | L19–22 | U | Y |
| Sat 10/8 | Kentucky vs South Carolina | -4.0L14–24 | 45.0 | L14–24 | U | N |
| Sat 10/15 | Kentucky vs Mississippi State | +3.5W27–17 | 50.5 | W27–17 | U | Y |
| — Bye Week — | ||||||
| Sat 10/29 | Kentucky at Tennessee | +10.5L6–44 | 62.5 | L6–44 | U | N |
| Sat 11/5 | Kentucky at Missouri | +1.0W21–17 | 40.0 | W21–17 | U | Y |
| Sat 11/12 | Kentucky vs Vanderbilt | -17.0L21–24 | 45.5 | L21–24 | U | N |
| Sat 11/19 | Kentucky vs Georgia | +22.5L6–16 | 47.5 | L6–16 | U | Y |
| Sat 11/26 | Kentucky vs Louisville | -3.5W26–13 | 42.5 | W26–13 | U | Y |
| Sat 12/31 | Kentucky vs Iowa | +3.0L0–21 | 31.5 | L0–21 | U | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2022 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
→ Kentucky
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 · 2022 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?
Northern Illinois Edge
Northern Illinois +1.33
CSS Edge (season-to-date)
Teams with this edge win 73.7% of games historically
Based on 2 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Kentucky Edge
Kentucky +23.2
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 3 games this season
Actual Result
CSS Battle
Tie
1 — 1 sequences
✗ Predicted incorrectly
GC Battle
Kentucky
84.6 — 5.1 GC score
✓ Predicted correctly
Game Result
Kentucky won by 8
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
Northern Illinois
Thomas Hammock #1
14–18 (44%)
· Yr 4 at school
OC
Eric Eidsness
Yr 2
#1
DC
Nick Benedetto
Yr 1
#1
Kentucky
Mark Stoops #1
59–53 (53%)
· Yr 10 at school
OC
Rich Scangarello
Yr 1
#1
DC
Brad White
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 ✓