Matchup Prediction
USC
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
USC entering this game.
Momentum Control
73.7%
USC wins
Solid
Game Control
64.9%
USC wins
Lean
Vegas Spread
USC -9
O/U 50.5
teamrankings
Advanced Stats
PPA + Success Rate agree → USC
· 73.9% ATS historically
↓ See full breakdown
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 |
Colorado 2021 Schedule
Colorado's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Fri 9/3 | Colorado vs Northern Colorado | -37.5W35–7 | 56.5 | W35–7 | U | N |
| Sat 9/11 | Colorado vs Texas A&M | +17.5L7–10 | 51.0 | L7–10 | U | Y |
| Sat 9/18 | Colorado vs Minnesota | -2.5L0–30 | 49.0 | L0–30 | U | N |
| Sat 9/25 | Colorado at Arizona State | +13.5L13–35 | 45.5 | L13–35 | O | N |
| Sat 10/2 | Colorado vs USC | +9.0L14–37 | 50.5 | L14–37 | O | N |
| — Bye Week — | ||||||
| Sat 10/16 | Colorado vs Arizona | -6.0W34–0 | 46.5 | W34–0 | U | Y |
| Sat 10/23 | Colorado at California | +8.0L3–26 | 44.0 | L3–26 | U | N |
| Sat 10/30 | Colorado at Oregon | +24.5L29–52 | 49.0 | L29–52 | O | Y |
| Sat 11/6 | Colorado vs Oregon State | +11.5W37–34 | 55.5 | W37–34 | O | Y |
| Sat 11/13 | Colorado at UCLA | +18.0L20–44 | 57.5 | L20–44 | O | N |
| Sat 11/20 | Colorado vs Washington | +6.5W20–17 | 43.0 | W20–17 | U | Y |
| Fri 11/26 | Colorado at Utah | +24.0L13–28 | 52.5 | L13–28 | U | Y |
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
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 · 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 +1.92
CSS Edge (season-to-date)
Teams with this edge win 73.7% of games historically
Based on 3 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
USC Edge
USC +17.9
GC Edge (season-to-date)
Teams with this edge win 64.9% of games historically
Based on 4 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on USC with a moderate edge in both. This is the strongest ATS signal in our backtest: teams in this situation have covered 55.8% of the time (n=113).
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
USC
Donte Williams #1
1–0 (100%)
· Yr 1 at school
OC
Graham Harrell
Yr 1
#1
DC
Todd Orlando
Yr 1
#1
Colorado
Karl Dorrell #1
5–4 (56%)
· Yr 2 at school
OC
Darrin Chiaverini
Yr 1
#1
DC
Chris Wilson
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: CSS is not a predictive 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: GS is not a predictive 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: CSS is not a predictive 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: GS is not a predictive 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 ✓