Sat, Sep 9 2023
·
Week 2
·
🏟 Glass Bowl
Toledo, OH
·
Turf
·
26,248 cap
Texas Southern✈ 1,051 mi+1 hr TZ
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%
Toledo wins
Strong
Vegas Spread
Toledo -40.5
O/U 61.0
William Hill (New Jersey)
Texas Southern 2023 Schedule
Texas Southern's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/9 | Texas Southern at Toledo | +40.5L3–71 | 61.0 | L3–71 | O | N |
| Sat 9/16 | Texas Southern at Rice | +35.5L7–59 | 60.0 | L7–59 | O | N |
Toledo 2023 Schedule
Toledo's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Toledo at Illinois | +7.0L28–30 | 45.5 | L28–30 | O | Y |
| Sat 9/9 | Toledo vs Texas Southern | -40.5W71–3 | 61.0 | W71–3 | O | Y |
| Sat 9/16 | Toledo vs San José State | -9.0W21–17 | 56.5 | W21–17 | U | N |
| Sat 9/23 | Toledo vs Western Michigan | -21.5W49–31 | 52.5 | W49–31 | O | N |
| Sat 9/30 | Toledo vs Northern Illinois | -13.0W35–33 | 48.0 | W35–33 | O | N |
| Sat 10/7 | Toledo at Massachusetts | -19.0W41–24 | 55.5 | W41–24 | O | N |
| Sat 10/14 | Toledo at Ball State | -17.5W13–6 | 48.5 | W13–6 | U | N |
| Sat 10/21 | Toledo at Miami (OH) | -2.0W21–17 | 46.5 | W21–17 | U | Y |
| — Bye Week — | ||||||
| Tue 10/31 | Toledo vs Buffalo | -14.0W31–13 | 47.0 | W31–13 | U | Y |
| Wed 11/8 | Toledo vs Eastern Michigan | -19.5W49–23 | 45.5 | W49–23 | O | Y |
| Tue 11/14 | Toledo at Bowling Green | -9.5W32–31 | 48.5 | W32–31 | O | N |
| Fri 11/24 | Toledo at Central Michigan | -12.5W32–17 | 54.5 | W32–17 | U | Y |
| Sat 12/2 | Toledo vs Miami (OH) | -8.5L14–23 | 46.0 | L14–23 | U | N |
| Sat 12/30 | Toledo vs Wyoming | +4.5L15–16 | 43.5 | L15–16 | U | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Texas Southern Edge
Texas Southern +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?
Toledo Edge
Toledo +54.4
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: CSS is not a predictive 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: GS is not a predictive 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: CSS is not a predictive 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: GS is not a predictive 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 ✓