Sat, Sep 9 2023
·
Week 2
·
🏟 Williams-Brice Stadium
Columbia, SC
·
Turf
·
80,250 cap
Furman✈ 103 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
76%
South Carolina wins
Strong
Vegas Spread
South Carolina -18
O/U 52.5
William Hill (New Jersey)
Furman 2023 Schedule
Furman's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/9 | Furman at South Carolina | +18.0L21–47 | 52.5 | L21–47 | O | N |
South Carolina 2023 Schedule
South Carolina's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | South Carolina vs North Carolina | -2.5L17–31 | 63.5 | L17–31 | U | N |
| Sat 9/9 | South Carolina vs Furman | -18.0W47–21 | 52.5 | W47–21 | O | Y |
| Sat 9/16 | South Carolina at Georgia | +27.0L14–24 | 54.5 | L14–24 | U | Y |
| Sat 9/23 | South Carolina vs Mississippi State | -6.0W37–30 | 46.5 | W37–30 | O | Y |
| Sat 9/30 | South Carolina at Tennessee | +12.0L20–41 | 59.0 | L20–41 | O | N |
| — Bye Week — | ||||||
| Sat 10/14 | South Carolina vs Florida | +1.0L39–41 | 50.0 | L39–41 | O | N |
| Sat 10/21 | South Carolina at Missouri | +7.5L12–34 | 57.5 | L12–34 | U | N |
| Sat 10/28 | South Carolina at Texas A&M | +17.0L17–30 | 51.5 | L17–30 | U | Y |
| Sat 11/4 | South Carolina vs Jacksonville State | -15.5W38–28 | 55.0 | W38–28 | O | N |
| Sat 11/11 | South Carolina vs Vanderbilt | -13.5W47–6 | 53.5 | W47–6 | U | Y |
| Sat 11/18 | South Carolina vs Kentucky | -2.5W17–14 | 52.5 | W17–14 | U | Y |
| Sat 11/25 | South Carolina vs Clemson | +7.5L7–16 | 48.0 | L7–16 | U | N |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Furman Edge
Furman +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?
South Carolina Edge
South Carolina +43.0
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 ✓