Sat, Nov 23 2024
·
Week 13
·
🏟 Williams-Brice Stadium
Columbia, SC
·
Turf
·
80,250 cap
Wofford✈ 85 miSame TZ
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%
South Carolina wins
Strong
Vegas Spread
South Carolina -42.5
O/U 49.5
DraftKings
Wofford 2024 Schedule
Wofford's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 11/23 | Wofford at South Carolina | +42.5L12–56 | 49.5 | L12–56 | O | N |
South Carolina 2024 Schedule
South Carolina's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | South Carolina vs Old Dominion | -20.5W23–19 | 49.5 | W23–19 | U | N |
| Sat 9/7 | South Carolina at Kentucky | +9.5W31–6 | 41.5 | W31–6 | U | Y |
| Sat 9/14 | South Carolina vs LSU | +7.0L33–36 | 50.0 | L33–36 | O | Y |
| Sat 9/21 | South Carolina vs Akron | -25.0W50–7 | 42.0 | W50–7 | O | Y |
| — Bye Week — | ||||||
| Sat 10/5 | South Carolina vs Ole Miss | +10.0L3–27 | 53.0 | L3–27 | U | N |
| Sat 10/12 | South Carolina at Alabama | +21.0L25–27 | 50.0 | L25–27 | O | Y |
| Sat 10/19 | South Carolina at Oklahoma | -1.0W35–9 | 40.5 | W35–9 | O | Y |
| — Bye Week — | ||||||
| Sat 11/2 | South Carolina vs Texas A&M | +3.0W44–20 | 43.5 | W44–20 | O | Y |
| Sat 11/9 | South Carolina at Vanderbilt | -6.0W28–7 | 44.5 | W28–7 | U | Y |
| Sat 11/16 | South Carolina vs Missouri | -10.5W34–30 | 42.5 | W34–30 | O | N |
| Sat 11/23 | South Carolina vs Wofford | -42.5W56–12 | 49.5 | W56–12 | O | Y |
| Sat 11/30 | South Carolina at Clemson | +2.5W17–14 | 48.5 | W17–14 | U | Y |
| Tue 12/31 | South Carolina vs Illinois | -9.5L17–21 | 50.0 | L17–21 | U | N |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Wofford Edge
Wofford +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?
South Carolina Edge
South Carolina +30.6
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 ✓