Preseason projection — This game has not yet been played and 2022 in-season data is not yet available.
Edges are based on 2021 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%
Rutgers wins
Strong
Vegas Spread
Rutgers -48.5
O/U 55.5
consensus
Wagner 2022 Schedule
Wagner's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/10 | Wagner at Rutgers | +48.5L7–66 | 55.5 | L7–66 | O | N |
| — Bye Week — | ||||||
| Sat 10/1 | Wagner at Syracuse | +54.0L0–59 | 62.5 | L0–59 | U | N |
Rutgers 2022 Schedule
Rutgers's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | Rutgers at Boston College | +8.5W22–21 | 47.0 | W22–21 | U | Y |
| Sat 9/10 | Rutgers vs Wagner | -48.5W66–7 | 55.5 | W66–7 | O | Y |
| Sat 9/17 | Rutgers at Temple | -18.0W16–14 | 42.5 | W16–14 | U | N |
| Sat 9/24 | Rutgers vs Iowa | +7.5L10–27 | 34.5 | L10–27 | O | N |
| Sat 10/1 | Rutgers at Ohio State | +39.0L10–49 | 58.0 | L10–49 | O | Y |
| Fri 10/7 | Rutgers vs Nebraska | +3.0L13–14 | 50.5 | L13–14 | U | Y |
| — Bye Week — | ||||||
| Sat 10/22 | Rutgers vs Indiana | -3.0W24–17 | 48.0 | W24–17 | U | Y |
| Sat 10/29 | Rutgers at Minnesota | +14.0L0–31 | 40.5 | L0–31 | U | N |
| Sat 11/5 | Rutgers vs Michigan | +26.0L17–52 | 45.0 | L17–52 | O | N |
| Sat 11/12 | Rutgers at Michigan State | +10.0L21–27 | 41.0 | L21–27 | O | Y |
| Sat 11/19 | Rutgers vs Penn State | +18.5L10–55 | 45.0 | L10–55 | O | N |
| Sat 11/26 | Rutgers at Maryland | +14.5L0–37 | 48.5 | L0–37 | U | N |
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 2021 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Rutgers Edge
Rutgers +30.1
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2021 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 ✓