Preseason projection — This game has not yet been played and 2023 in-season data is not yet available.
Edges are based on 2022 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%
Syracuse wins
Strong
Vegas Spread
Syracuse -40
O/U 49.5
William Hill (New Jersey)
Colgate 2023 Schedule
Colgate's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Colgate at Syracuse | +40.0L0–65 | 49.5 | L0–65 | O | N |
Syracuse 2023 Schedule
Syracuse's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Syracuse vs Colgate | -40.0W65–0 | 49.5 | W65–0 | O | Y |
| Sat 9/9 | Syracuse vs Western Michigan | -24.5W48–7 | 56.5 | W48–7 | U | Y |
| Sat 9/16 | Syracuse at Purdue | -1.0W35–20 | 56.5 | W35–20 | U | Y |
| Sat 9/23 | Syracuse vs Army | -13.0W29–16 | 50.5 | W29–16 | U | N |
| Sat 9/30 | Syracuse vs Clemson | +7.0L14–31 | 52.0 | L14–31 | U | N |
| Sat 10/7 | Syracuse at North Carolina | +9.5L7–40 | 59.0 | L7–40 | U | N |
| Sat 10/14 | Syracuse at Florida State | +18.5L3–41 | 53.5 | L3–41 | U | N |
| — Bye Week — | ||||||
| Thu 10/26 | Syracuse at Virginia Tech | +2.5L10–38 | 47.5 | L10–38 | O | N |
| Fri 11/3 | Syracuse vs Boston College | -3.0L10–17 | 51.0 | L10–17 | U | N |
| Sat 11/11 | Syracuse vs Pittsburgh | +4.5W28–13 | 37.5 | W28–13 | O | Y |
| Sat 11/18 | Syracuse at Georgia Tech | +6.5L22–31 | 51.5 | L22–31 | O | N |
| Sat 11/25 | Syracuse vs Wake Forest | -3.0W35–31 | 43.5 | W35–31 | O | Y |
| Thu 12/21 | Syracuse vs South Florida | -3.0L0–45 | 56.0 | L0–45 | U | N |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Colgate Edge
Colgate +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2022 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Syracuse Edge
Syracuse +44.4
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2022 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 ✓