Sat, Sep 21 2024
·
Week 4
·
🏟 Williams-Brice Stadium
Columbia, SC
·
Turf
·
80,250 cap
Akron✈ 491 miSame TZ
Matchup Prediction
South Carolina
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
South Carolina entering this game.
Momentum Control
71.6%
South Carolina wins
Solid
Game Control
76%
South Carolina wins
Strong
Vegas Spread
South Carolina -25
O/U 42.0
DraftKings
Advanced Stats
All 4 factors agree → South Carolina
· 83.1% ATS historically when all four align
↓ See full breakdown
Akron 2024 Schedule
Akron's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Akron at Ohio State | +50.5L6–52 | 58.5 | L6–52 | U | Y |
| Sat 9/7 | Akron at Rutgers | +24.5L17–49 | 41.5 | L17–49 | O | N |
| Sat 9/14 | Akron vs Colgate | -13.5W31–20 | 48.5 | W31–20 | O | N |
| Sat 9/21 | Akron at South Carolina | +25.0L7–50 | 42.0 | L7–50 | O | N |
| Sat 9/28 | Akron at Ohio | +8.5L10–30 | 46.0 | L10–30 | U | N |
| Sat 10/5 | Akron vs Bowling Green | +17.0L20–27 | 48.5 | L20–27 | U | Y |
| Sat 10/12 | Akron at Western Michigan | +9.5L24–34 | 48.5 | L24–34 | O | N |
| — Bye Week — | ||||||
| Sat 10/26 | Akron vs Eastern Michigan | +2.5W25–21 | 50.5 | W25–21 | U | Y |
| Sat 11/2 | Akron vs Buffalo | -1.0L30–41 | 49.0 | L30–41 | O | N |
| — Bye Week — | ||||||
| Wed 11/13 | Akron at Northern Illinois | +14.0L16–29 | 43.5 | L16–29 | O | Y |
| Tue 11/19 | Akron at Kent State | -10.5W38–17 | 49.0 | W38–17 | O | Y |
| Tue 11/26 | Akron vs Toledo | +9.5W21–14 | 50.5 | W21–14 | U | Y |
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 |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2024 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ South Carolina
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ South Carolina
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ South Carolina
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
PPA Passing
Pass efficiency edge · Strong predictor
Havoc Total
Def. disruption rate · Strong predictor
TFLs, sacks, PBUs, forced fumbles — higher is better
Points Per Opp
Drive-finishing edge · Strong predictor
Success Rate
Play consistency edge · Solid predictor
Field Position
Avg start (lower=better) · Solid predictor
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Advanced stats sourced from CFBD · 2024 season ·
Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
South Carolina Edge
South Carolina +1.00
CSS Edge (season-to-date)
Teams with this edge win 71.6% of games historically
Based on 3 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
South Carolina Edge
South Carolina +37.0
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 3 games this season
Actual Result
CSS Battle
South Carolina
3 — 0 sequences
✓ Predicted correctly
GC Battle
South Carolina
83.4 — 6.9 GC score
✓ Predicted correctly
Game Result
South Carolina won by 43
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on South Carolina with a large edge. Historically, dominant teams like this are fully priced into the spread — the agreed-upon team covers just 50.2% of the time. The metrics predict game control better than they beat the number.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Akron
Joe Moorhead #1
4–20 (17%)
· Yr 3 at school
OC
Taylor Housewright
Yr 1
#1
DC
Tim Tibesar
Yr 3
#1
South Carolina
Shane Beamer #1
20–18 (53%)
· Yr 4 at school
OC
Dowell Loggains
Yr 2
#1
DC
Clayton White
Yr 3
#1
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 ✓