Sat, Sep 2 2023
·
Week 1
·
🏟 Jerry Richardson Stadium
Charlotte, NC
·
Turf
·
15,314 cap
South Carolina State✈ 125 miSame 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
67.1%
Charlotte wins
Solid
Vegas Spread
Charlotte -24
O/U 44.5
William Hill (New Jersey)
South Carolina State 2023 Schedule
South Carolina State's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | South Carolina State at Charlotte | +24.0L3–24 | 44.5 | L3–24 | U | Y |
| Sat 9/9 | South Carolina State at Georgia Tech | +44.0L13–48 | 53.5 | L13–48 | O | Y |
Charlotte 2023 Schedule
Charlotte's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Charlotte vs South Carolina State | -24.0W24–3 | 44.5 | W24–3 | U | N |
| Sat 9/9 | Charlotte at Maryland | +24.5L20–38 | 50.0 | L20–38 | O | Y |
| Sat 9/16 | Charlotte vs Georgia State | +6.5L25–41 | 52.0 | L25–41 | O | N |
| Sat 9/23 | Charlotte at Florida | +28.0L7–22 | 48.5 | L7–22 | U | Y |
| Sat 9/30 | Charlotte at SMU | +22.5L16–34 | 53.0 | L16–34 | U | Y |
| — Bye Week — | ||||||
| Sat 10/14 | Charlotte vs Navy | +3.5L0–14 | 44.0 | L0–14 | U | N |
| Sat 10/21 | Charlotte at East Carolina | +6.0W10–7 | 39.5 | W10–7 | U | Y |
| Fri 10/27 | Charlotte vs Florida Atlantic | +3.5L16–38 | 45.5 | L16–38 | O | N |
| Sat 11/4 | Charlotte at Tulsa | +4.5W33–26 | 47.5 | W33–26 | O | Y |
| Sat 11/11 | Charlotte vs Memphis | +9.5L38–44 | 51.5 | L38–44 | O | Y |
| Sat 11/18 | Charlotte vs Rice | -0.5L7–28 | 46.5 | L7–28 | U | N |
| Sat 11/25 | Charlotte at South Florida | +7.5L14–48 | 56.5 | L14–48 | O | N |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
South Carolina State Edge
South Carolina State +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?
Charlotte Edge
Charlotte +17.9
GC Edge (season-to-date)
Teams with this edge win 67.1% 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 ✓