Preseason projection — This game has not yet been played and 2024 in-season data is not yet available.
Edges are based on 2023 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%
Toledo wins
Strong
Vegas Spread
Toledo -27.5
O/U 53.5
ESPN Bet
Duquesne 2024 Schedule
Duquesne's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/29 | Duquesne at Toledo | +27.5L10–49 | 53.5 | L10–49 | O | N |
| Sat 9/7 | Duquesne at Boston College | +33.5L0–56 | 52.5 | L0–56 | O | N |
Toledo 2024 Schedule
Toledo's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/29 | Toledo vs Duquesne | -27.5W49–10 | 53.5 | W49–10 | O | Y |
| Sat 9/7 | Toledo vs Massachusetts | -17.5W38–23 | 50.5 | W38–23 | O | N |
| Sat 9/14 | Toledo at Mississippi State | +10.5W41–17 | 56.5 | W41–17 | O | Y |
| Sat 9/21 | Toledo at Western Kentucky | -2.0L21–26 | 60.5 | L21–26 | U | N |
| — Bye Week — | ||||||
| Sat 10/5 | Toledo vs Miami (OH) | -4.5W30–20 | 44.0 | W30–20 | O | Y |
| Sat 10/12 | Toledo at Buffalo | -10.5L15–30 | 44.5 | L15–30 | O | N |
| Sat 10/19 | Toledo at Northern Illinois | +3.0W13–6 | 42.5 | W13–6 | U | Y |
| Sat 10/26 | Toledo vs Bowling Green | -1.5L26–41 | 47.5 | L26–41 | O | N |
| Sat 11/2 | Toledo at Eastern Michigan | -10.0W29–28 | 54.5 | W29–28 | O | N |
| — Bye Week — | ||||||
| Tue 11/12 | Toledo vs Central Michigan | -15.0W37–10 | 52.5 | W37–10 | U | Y |
| Wed 11/20 | Toledo vs Ohio | -1.5L7–24 | 47.0 | L7–24 | U | N |
| Tue 11/26 | Toledo at Akron | -9.5L14–21 | 50.5 | L14–21 | U | N |
| Thu 12/26 | Toledo vs Pittsburgh | +6.5W48–46 | 48.5 | W48–46 | O | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Duquesne Edge
Duquesne +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2023 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Toledo Edge
Toledo +45.2
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2023 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 ✓