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
50.6%
—
Toss-up
Vegas Spread
LSU -4
O/U 66.5
DraftKings
Advanced Stats
PPA + Success Rate agree → USC
· 73.9% ATS historically
↓ See full breakdown
USC 2024 Schedule
USC's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sun 9/1 | USC vs LSU | +4.0W27–20 | 66.5 | W27–20 | U | Y |
| Sat 9/7 | USC vs Utah State | -30.5W48–0 | 62.5 | W48–0 | U | Y |
| — Bye Week — | ||||||
| Sat 9/21 | USC at Michigan | -4.0L24–27 | 44.0 | L24–27 | O | N |
| Sat 9/28 | USC vs Wisconsin | -14.0W38–21 | 50.5 | W38–21 | O | Y |
| Sat 10/5 | USC at Minnesota | -8.5L17–24 | 45.5 | L17–24 | U | N |
| Sat 10/12 | USC vs Penn State | +3.5L30–33 | 51.5 | L30–33 | O | Y |
| Sat 10/19 | USC at Maryland | -6.5L28–29 | 56.5 | L28–29 | O | N |
| Fri 10/25 | USC vs Rutgers | -14.0W42–20 | 57.0 | W42–20 | O | Y |
| Sat 11/2 | USC at Washington | -2.0L21–26 | 55.0 | L21–26 | U | N |
| — Bye Week — | ||||||
| Sat 11/16 | USC vs Nebraska | -6.5W28–20 | 51.0 | W28–20 | U | Y |
| Sat 11/23 | USC at UCLA | -5.0W19–13 | 53.0 | W19–13 | U | Y |
| Sat 11/30 | USC vs Notre Dame | +6.5L35–49 | 52.5 | L35–49 | O | N |
| Fri 12/27 | USC vs Texas A&M | +3.5W35–31 | 56.5 | W35–31 | O | Y |
LSU 2024 Schedule
LSU's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sun 9/1 | LSU vs USC | -4.0L20–27 | 66.5 | L20–27 | U | N |
| Sat 9/7 | LSU vs Nicholls | -50.5W44–21 | 62.0 | W44–21 | O | N |
| Sat 9/14 | LSU at South Carolina | -7.0W36–33 | 50.0 | W36–33 | O | N |
| Sat 9/21 | LSU vs UCLA | -21.5W34–17 | 56.5 | W34–17 | U | N |
| Sat 9/28 | LSU vs South Alabama | -21.0W42–10 | 64.5 | W42–10 | U | Y |
| — Bye Week — | ||||||
| Sat 10/12 | LSU vs Ole Miss | +3.5W29–26 | 64.5 | W29–26 | U | Y |
| Sat 10/19 | LSU at Arkansas | -3.0W34–10 | 57.0 | W34–10 | U | Y |
| Sat 10/26 | LSU at Texas A&M | +2.0L23–38 | 54.5 | L23–38 | O | N |
| — Bye Week — | ||||||
| Sat 11/9 | LSU vs Alabama | +2.5L13–42 | 57.5 | L13–42 | U | N |
| Sat 11/16 | LSU at Florida | -3.0L16–27 | 57.0 | L16–27 | U | N |
| Sat 11/23 | LSU vs Vanderbilt | -10.0W24–17 | 53.0 | W24–17 | U | N |
| Sat 11/30 | LSU vs Oklahoma | -4.5W37–17 | 47.5 | W37–17 | O | Y |
| Tue 12/31 | LSU vs Baylor | +3.0W44–31 | 62.5 | W44–31 | O | Y |
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
Split
Metrics disagree
Elite · 82.4% ATS
PPA + PPO + Havoc
Split
Metrics disagree
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ USC
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?
USC Edge
USC +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 0 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
USC Edge
USC +0.0
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 0 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on LSU, but the GC edge is small. When metrics agree but GC is near-neutral, the agreed-upon team has covered only 46.7% of the time historically (n=224) — potentially a fade signal.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
USC
Lincoln Riley #1
19–8 (70%)
· Yr 3 at school
OC
Josh Henson
Yr 3
#1
DC
D'Anton Lynn
Yr 1
#1
LSU
Brian Kelly #1
20–7 (74%)
· Yr 3 at school
OC
Joe Sloan
Yr 1
#1
DC
Blake Baker
Yr 1
#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 ✓