Preseason projection — This game has not yet been played and 2025 in-season data is not yet available.
Edges are based on 2024 full-season performance.
Confidence will increase once in-season games are logged.
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
76%
Kansas wins
Strong
Vegas Spread
Kansas -45.5
O/U 57.5
ESPN Bet
Wagner 2025 Schedule
Wagner's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Fri 8/29 | Wagner at Kansas | +45.5L7–46 | 57.5 | L7–46 | U | Y |
| — Bye Week — | ||||||
| Sat 9/20 | Wagner at Central Michigan | +29.0L10–49 | 47.0 | L10–49 | O | N |
Kansas 2025 Schedule
Kansas's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/23 | Kansas vs Fresno State | -14.0W31–7 | 51.5 | W31–7 | U | Y |
| Fri 8/29 | Kansas vs Wagner | -45.5W46–7 | 57.5 | W46–7 | U | N |
| Sat 9/6 | Kansas at Missouri | +5.5L31–42 | 51.0 | L31–42 | O | N |
| — Bye Week — | ||||||
| Sat 9/20 | Kansas vs West Virginia | -12.5W41–10 | 54.5 | W41–10 | U | Y |
| Sat 9/27 | Kansas vs Cincinnati | -5.5L34–37 | 55.5 | L34–37 | O | N |
| Sat 10/4 | Kansas at UCF | -4.0W27–20 | 53.5 | W27–20 | U | Y |
| Sat 10/11 | Kansas at Texas Tech | +13.5L17–42 | 58.5 | L17–42 | O | N |
| — Bye Week — | ||||||
| Sat 10/25 | Kansas vs Kansas State | -3.5L17–42 | 55.5 | L17–42 | O | N |
| Sat 11/1 | Kansas vs Oklahoma State | -24.5W38–21 | 54.5 | W38–21 | O | N |
| Sat 11/8 | Kansas at Arizona | +5.5L20–24 | 56.5 | L20–24 | U | Y |
| — Bye Week — | ||||||
| Sat 11/22 | Kansas at Iowa State | +3.0L14–38 | 55.5 | L14–38 | U | N |
| Fri 11/28 | Kansas vs Utah | +10.5L21–31 | 59.5 | L21–31 | U | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Wagner Edge
Wagner +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2024 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Kansas Edge
Kansas +46.0
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2024 full season · preseason estimate
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 ✓