Sat, Sep 20 2025
·
Week 4
·
🏟 Snapdragon Stadium
San Diego, CA
·
Turf
·
35,000 cap
California✈ 454 miSame TZ
Matchup Prediction
California
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
California entering this game.
Momentum Control
73.7%
California wins
Solid
Game Control
75.9%
California wins
Solid
Vegas Spread
California -14
O/U 47.5
DraftKings
Advanced Stats
All 4 factors agree → San Diego State
· 83.1% ATS historically when all four align
↓ See full breakdown
California 2025 Schedule
California's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | California at Oregon State | +3.0W34–15 | 51.5 | W34–15 | U | Y |
| Sat 9/6 | California vs Texas Southern | -44.5W35–3 | 54.5 | W35–3 | U | N |
| Sat 9/13 | California vs Minnesota | +3.0W27–14 | 41.5 | W27–14 | U | Y |
| Sat 9/20 | California at San Diego State | -14.0L0–34 | 47.5 | L0–34 | U | N |
| Sat 9/27 | California at Boston College | +6.0W28–24 | 54.5 | W28–24 | U | Y |
| Sat 10/4 | California vs Duke | +3.5L21–45 | 54.5 | L21–45 | O | N |
| — Bye Week — | ||||||
| Fri 10/17 | California vs North Carolina | -7.5W21–18 | 45.5 | W21–18 | U | N |
| Fri 10/24 | California at Virginia Tech | +6.5L34–42 | 50.5 | L34–42 | O | N |
| Sat 11/1 | California vs Virginia | +6.5L21–31 | 52.5 | L21–31 | U | N |
| Sat 11/8 | California at Louisville | +18.5W29–26 | 48.5 | W29–26 | O | Y |
| — Bye Week — | ||||||
| Sat 11/22 | California at Stanford | -4.5L10–31 | 47.5 | L10–31 | U | N |
| Sat 11/29 | California vs SMU | +13.5W38–35 | 53.5 | W38–35 | O | Y |
| Wed 12/24 | California at Hawai'i | +1.5L31–35 | 50.5 | L31–35 | O | N |
San Diego State 2025 Schedule
San Diego State's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/28 | San Diego State vs Stony Brook | -19.5W42–0 | 53.5 | W42–0 | U | Y |
| Sat 9/6 | San Diego State at Washington State | +2.0L13–36 | 46.5 | L13–36 | O | N |
| — Bye Week — | ||||||
| Sat 9/20 | San Diego State vs California | +14.0W34–0 | 47.5 | W34–0 | U | Y |
| Sat 9/27 | San Diego State at Northern Illinois | -1.5W6–3 | 41.5 | W6–3 | U | Y |
| Fri 10/3 | San Diego State vs Colorado State | -4.5W45–24 | 40.5 | W45–24 | O | Y |
| Sat 10/11 | San Diego State at Nevada | -6.5W44–10 | 42.5 | W44–10 | O | Y |
| — Bye Week — | ||||||
| Sat 10/25 | San Diego State at Fresno State | -3.0W23–0 | 46.5 | W23–0 | U | Y |
| Sat 11/1 | San Diego State vs Wyoming | -10.0W24–7 | 42.5 | W24–7 | U | Y |
| Sat 11/8 | San Diego State at Hawai'i | -6.5L6–38 | 48.5 | L6–38 | U | N |
| Sat 11/15 | San Diego State vs Boise State | -1.5W17–7 | 41.5 | W17–7 | U | Y |
| Sat 11/22 | San Diego State vs San José State | -10.0W25–3 | 50.5 | W25–3 | U | Y |
| Fri 11/28 | San Diego State at New Mexico | -1.5L17–23 | 41.5 | L17–23 | U | N |
| Sat 12/27 | San Diego State vs North Texas | +7.5L47–49 | 55.5 | L47–49 | O | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2025 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ San Diego State
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ San Diego State
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ San Diego 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 · 2025 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?
California Edge
California +1.50
CSS Edge (season-to-date)
Teams with this edge win 73.7% of games historically
Based on 1 game this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
California Edge
California +22.0
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 2 games this season
Actual Result
CSS Battle
San Diego State
2 — 0 sequences
✗ Predicted incorrectly
GC Battle
San Diego State
78.0 — 7.4 GC score
✗ Predicted incorrectly
Game Result
San Diego State won by 34
✗ Model missed it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on California 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
California
Justin Wilcox #1
42–49 (46%)
· Yr 9 at school
OC
Bryan Harsin
Yr 1
#1
DC
Vacant
Yr 1
#1
San Diego State
Sean Lewis #1
3–9 (25%)
· Yr 2 at school
OC
Sean Lewis
Yr 2
#1
DC
Rob Aurich
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 ✓