Sat, Sep 10 2022
·
Week 2
·
🏟 Nippert Stadium
Cincinnati, OH
·
Turf
·
40,000 cap
Kennesaw State✈ 352 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
Kennesaw State 2022 Schedule
Kennesaw State's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/10 | Kennesaw State at Cincinnati | +9 | — | — | — | — |
Cincinnati 2022 Schedule
Cincinnati's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | Cincinnati at Arkansas | +6.5L24–31 | 54.5 | L24–31 | O | N |
| Sat 9/10 | Cincinnati vs Kennesaw State | -29 | — | — | — | — |
| Sat 9/17 | Cincinnati vs Miami (OH) | -24.0W38–17 | 51.0 | W38–17 | O | N |
| Sat 9/24 | Cincinnati vs Indiana | -16.5W45–24 | 57.0 | W45–24 | O | Y |
| Sat 10/1 | Cincinnati at Tulsa | -10.0W31–21 | 59.0 | W31–21 | U | N |
| Sat 10/8 | Cincinnati vs South Florida | -27.0W28–24 | 58.5 | W28–24 | U | N |
| — Bye Week — | ||||||
| Sat 10/22 | Cincinnati at SMU | -3.5W29–27 | 59.5 | W29–27 | U | N |
| Sat 10/29 | Cincinnati at UCF | +1.5L21–25 | 55.5 | L21–25 | U | N |
| Sat 11/5 | Cincinnati vs Navy | -18.5W20–10 | 43.5 | W20–10 | U | N |
| Fri 11/11 | Cincinnati vs East Carolina | -4.5W27–25 | 51.5 | W27–25 | O | N |
| Sat 11/19 | Cincinnati at Temple | -17.0W23–3 | 48.5 | W23–3 | U | Y |
| Fri 11/25 | Cincinnati vs Tulane | +1.0L24–27 | 44.0 | L24–27 | O | N |
| Sat 12/17 | Cincinnati vs Louisville | +2.5L7–24 | 38.5 | L7–24 | U | N |
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?
Kennesaw State Edge
Kennesaw State +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 1 game this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Kennesaw State Edge
Kennesaw State +0.0
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 1 game this season
Actual Result
CSS Battle
Cincinnati
2 — 0 sequences
✗ Predicted incorrectly
GC Battle
Cincinnati
82.7 — 6.1 GC score
✗ Predicted incorrectly
Game Result
Cincinnati won by 53
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 ✓