Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors USC,
while Game Control favors BYU.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
58.4%
USC wins
Lean
Game Control
75.9%
BYU wins
Solid
Vegas Spread
BYU -8.5
O/U 65.5
teamrankings
Advanced Stats
All 4 factors agree → BYU
· 83.1% ATS historically when all four align
↓ See full breakdown
BYU 2021 Schedule
BYU's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | BYU vs Arizona | -13.5W24–16 | 54.0 | W24–16 | U | N |
| Sat 9/11 | BYU vs Utah | +7.0W26–17 | 50.0 | W26–17 | U | Y |
| Sat 9/18 | BYU vs Arizona State | +3.5W27–17 | 50.5 | W27–17 | U | Y |
| Sat 9/25 | BYU vs South Florida | -23.5W35–27 | 54.5 | W35–27 | O | N |
| Fri 10/1 | BYU at Utah State | -9.0W34–20 | 66.0 | W34–20 | U | Y |
| Sat 10/9 | BYU vs Boise State | -6.0L17–26 | 58.0 | L17–26 | U | N |
| Sat 10/16 | BYU at Baylor | +5.5L24–38 | 52.5 | L24–38 | O | N |
| Sat 10/23 | BYU at Washington State | -3.5W21–19 | 56.5 | W21–19 | U | N |
| Sat 10/30 | BYU vs Virginia | -2.5W66–49 | 66.5 | W66–49 | O | Y |
| Sat 11/6 | BYU vs Idaho State | -36.5W59–14 | 55.0 | W59–14 | O | Y |
| — Bye Week — | ||||||
| Sat 11/20 | BYU at Georgia Southern | -20.0W34–17 | 57.0 | W34–17 | U | N |
| Sat 11/27 | BYU at USC | -8.5W35–31 | 65.5 | W35–31 | O | N |
| Sat 12/18 | BYU vs UAB | -7.0L28–31 | 54.5 | L28–31 | O | N |
USC 2021 Schedule
USC's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | USC vs San José State | -13.5W30–7 | 61.0 | W30–7 | U | Y |
| Sat 9/11 | USC vs Stanford | -17.0L28–42 | 53.0 | L28–42 | O | N |
| Sat 9/18 | USC at Washington State | -7.0W45–14 | 61.0 | W45–14 | U | Y |
| Sat 9/25 | USC vs Oregon State | -11.0L27–45 | 62.5 | L27–45 | O | N |
| Sat 10/2 | USC at Colorado | -9.0W37–14 | 50.5 | W37–14 | O | Y |
| Sat 10/9 | USC vs Utah | -3.0L26–42 | 52.5 | L26–42 | O | N |
| — Bye Week — | ||||||
| Sat 10/23 | USC at Notre Dame | +8.0L16–31 | 59.5 | L16–31 | U | N |
| Sat 10/30 | USC vs Arizona | -22.0W41–34 | 55.5 | W41–34 | O | N |
| Sat 11/6 | USC at Arizona State | +10.0L16–31 | 61.0 | L16–31 | U | N |
| Sat 11/13 | USC at California | -2.0 | 52.5 | — | — | — |
| Sat 11/20 | USC vs UCLA | +4.5L33–62 | 66.5 | L33–62 | O | N |
| Sat 11/27 | USC vs BYU | +8.5L31–35 | 65.5 | L31–35 | O | Y |
| Sat 12/4 | USC at California | +4.5L14–24 | 57.5 | L14–24 | U | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2021 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ BYU
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ BYU
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ BYU
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 · 2021 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 +0.60
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 10 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
BYU Edge
BYU +25.3
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 10 games this season
Actual Result
CSS Battle
USC
2 — 0 sequences
✓ Predicted correctly
GC Battle
BYU
12.5 — 76.2 GC score
✓ Predicted correctly
Game Result
BYU won by 4
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
CSS and GC disagree on this matchup. When the metrics split, historical cover rates are essentially random — treat this as a coin flip against the spread.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
BYU
Kalani Sitake #1
41–26 (61%)
· Yr 6 at school
OC
Aaron Roderick
Yr 1
#1
DC
Ilaisa Tuiaki
Yr 1
#1
USC
Donte Williams #1
1–0 (100%)
· Yr 1 at school
OC
Graham Harrell
Yr 1
#1
DC
Todd Orlando
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 ✓