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%
LSU wins
Strong
Vegas Spread
LSU -21.5
O/U 56.5
DraftKings
Advanced Stats
All 4 factors agree → LSU
· 83.1% ATS historically when all four align
↓ See full breakdown
UCLA 2024 Schedule
UCLA's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | UCLA at Hawai'i | -13.5W16–13 | 55.5 | W16–13 | U | N |
| — Bye Week — | ||||||
| Sat 9/14 | UCLA vs Indiana | +3.5L13–42 | 46.5 | L13–42 | O | N |
| Sat 9/21 | UCLA at LSU | +21.5L17–34 | 56.5 | L17–34 | U | Y |
| Sat 9/28 | UCLA vs Oregon | +23.5L13–34 | 54.5 | L13–34 | U | Y |
| Sat 10/5 | UCLA at Penn State | +30.0L11–27 | 48.0 | L11–27 | U | Y |
| Sat 10/12 | UCLA vs Minnesota | +3.5L17–21 | 39.0 | L17–21 | U | N |
| Sat 10/19 | UCLA at Rutgers | +4.0W35–32 | 42.5 | W35–32 | O | Y |
| — Bye Week — | ||||||
| Sat 11/2 | UCLA at Nebraska | +7.5W27–20 | 38.5 | W27–20 | O | Y |
| Fri 11/8 | UCLA vs Iowa | +6.5W20–17 | 44.5 | W20–17 | U | Y |
| Fri 11/15 | UCLA at Washington | +4.5L19–31 | 47.0 | L19–31 | O | N |
| Sat 11/23 | UCLA vs USC | +5.0L13–19 | 53.0 | L13–19 | U | N |
| Sat 11/30 | UCLA vs Fresno State | -7.5W20–13 | 46.5 | W20–13 | U | N |
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
All 4 Agree
→ LSU
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ LSU
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ LSU
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?
UCLA +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
LSU Edge
LSU +30.9
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 3 games this season
Actual Result
CSS Battle
LSU
2 — 1 sequences
GC Battle
LSU
55.5 — 13.6 GC score
✓ Predicted correctly
Game Result
LSU won by 17
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on LSU 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
UCLA
DeShaun Foster #1
0–0 (0%)
· Yr 1 at school
OC
Eric Bieniemy
Yr 1
#1
DC
Ikaika Malloe
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 ✓