Sat, Oct 30 2021
·
Week 9
·
🏟 California Memorial Stadium
Berkeley, CA
·
Turf
·
62,717 cap
Oregon State✈ 465 miSame TZ
Matchup Prediction
Oregon State
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Oregon State entering this game.
Momentum Control
61.3%
Oregon State wins
Lean
Game Control
64.9%
Oregon State wins
Lean
Vegas Spread
Oregon State -2.5
O/U 56.5
teamrankings
Advanced Stats
PPA + Success Rate agree → Oregon State
· 73.9% ATS historically
↓ See full breakdown
Oregon State 2021 Schedule
Oregon State's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | Oregon State at Purdue | +7.0L21–30 | 67.0 | L21–30 | U | N |
| Sat 9/11 | Oregon State vs Hawai'i | -11.0W45–27 | 65.0 | W45–27 | O | Y |
| Sat 9/18 | Oregon State vs Idaho | -28.0W42–0 | 63.5 | W42–0 | U | Y |
| Sat 9/25 | Oregon State at USC | +11.0W45–27 | 62.5 | W45–27 | O | Y |
| Sat 10/2 | Oregon State vs Washington | -2.5W27–24 | 57.5 | W27–24 | U | Y |
| Sat 10/9 | Oregon State at Washington State | -4.0L24–31 | 59.0 | L24–31 | U | N |
| — Bye Week — | ||||||
| Sat 10/23 | Oregon State vs Utah | +3.0W42–34 | 57.5 | W42–34 | O | Y |
| Sat 10/30 | Oregon State at California | -2.5L25–39 | 56.5 | L25–39 | O | N |
| Sat 11/6 | Oregon State at Colorado | -11.5L34–37 | 55.5 | L34–37 | O | N |
| Sat 11/13 | Oregon State vs Stanford | -12.5W35–14 | 56.5 | W35–14 | U | Y |
| Sat 11/20 | Oregon State vs Arizona State | +2.5W24–10 | 59.0 | W24–10 | U | Y |
| Sat 11/27 | Oregon State at Oregon | +7.5L29–38 | 61.5 | L29–38 | O | N |
| Sat 12/18 | Oregon State vs Utah State | -7.0L13–24 | 68.0 | L13–24 | U | N |
California 2021 Schedule
California's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | California vs Nevada | -2.5L17–22 | 52.5 | L17–22 | U | N |
| Sat 9/11 | California at TCU | +11.5L32–34 | 46.5 | L32–34 | O | Y |
| Sat 9/18 | California vs Sacramento State | -24.5W42–30 | 49.0 | W42–30 | O | N |
| Sat 9/25 | California at Washington | +7.5L24–31 | 47.5 | L24–31 | O | Y |
| Sat 10/2 | California vs Washington State | -7.5L6–21 | 52.5 | L6–21 | U | N |
| — Bye Week — | ||||||
| Fri 10/15 | California at Oregon | +13.5L17–24 | 53.5 | L17–24 | U | Y |
| Sat 10/23 | California vs Colorado | -8.0W26–3 | 44.0 | W26–3 | U | Y |
| Sat 10/30 | California vs Oregon State | +2.5W39–25 | 56.5 | W39–25 | O | Y |
| Sat 11/6 | California at Arizona | -7.0L3–10 | 47.0 | L3–10 | U | N |
| Sat 11/13 | California vs USC | +2.0 | 52.5 | — | — | — |
| Sat 11/20 | California at Stanford | -2.5W41–11 | 46.0 | W41–11 | O | Y |
| Sat 11/27 | California at UCLA | +6.5L14–42 | 58.5 | L14–42 | U | N |
| Sat 12/4 | California vs USC | -4.5W24–14 | 57.5 | W24–14 | 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
→ Oregon State
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?
Oregon State Edge
Oregon State +0.50
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 6 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Oregon State Edge
Oregon State +12.7
GC Edge (season-to-date)
Teams with this edge win 64.9% of games historically
Based on 7 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Oregon State with a solid GC edge. Teams with this profile have covered 53.0% of the time historically (n=330) — a mild lean.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Oregon State
Jonathan Smith #1
11–23 (32%)
· Yr 4 at school
OC
Brian Lindgren
Yr 1
#1
DC
Tim Tibesar
Yr 1
#1
California
Justin Wilcox #1
22–23 (49%)
· Yr 5 at school
OC
Bill Musgrave
Yr 1
#1
DC
Peter Sirmon
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 ✓