Virginia at California Week 10 College Football Matchup Virginia at California Matchup - Week 10
Sat, Nov 1 2025 · Week 10 · 🏟 California Memorial Stadium Berkeley, CA · Turf · 62,717 cap
Virginia✈ 2,360 mi-3 hr TZ
Away
31 21
Final
Home
📊 Punt & Rally Projection
Virginia
32
California
20
P&R Line Virginia -12
P&R Total O/U 52
Confidence 90 High
Vegas Virginia -6.5 · O/U 52.5
Matchup Prediction
Virginia has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor Virginia entering this game.
Momentum Control
61.3%
Virginia wins
Lean
Game Control
49.4%
Virginia wins
Toss-up
Vegas Spread
Virginia -6.5
O/U 52.5
DraftKings
Advanced Stats
All 4 factors agree → Virginia · 83.1% ATS historically when all four align
↓ See full breakdown
🚌 Virginia 2nd straight Road Game
Virginia 2025 Schedule
Virginia's 2025 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/30Virginia vs Coastal Carolina-12.5W48–757.5W48–7UY
Sat 9/6Virginia at NC State+3.0L31–3553.0L31–35ON
Sat 9/13Virginia vs William & Mary-30.5W55–1654.5W55–16OY
Sat 9/20Virginia vs Stanford-16.5W48–2048.5W48–20OY
Fri 9/26Virginia vs Florida State+7.0W46–3859.5W46–38OY
Sat 10/4Virginia at Louisville+6.5W30–2759.5W30–27UY
— Bye Week —
Sat 10/18Virginia vs Washington State-16.5W22–2056.5W22–20UN
Sat 10/25Virginia at North Carolina-12.5W17–1651.5W17–16UN
Sat 11/1Virginia at California-6.5W31–2152.5W31–21UY
Sat 11/8Virginia vs Wake Forest-7.0L9–1648.5L9–16UN
Sat 11/15Virginia at Duke+5.5W34–1759.5W34–17UY
— Bye Week —
Sat 11/29Virginia vs Virginia Tech-9.5W27–753.5W27–7UY
Sat 12/6Virginia vs Duke-3.5L20–2758.5L20–27UN
Sat 12/27Virginia vs Missouri+4.0W13–743.5W13–7UY
California 2025 Schedule
California's 2025 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/30California at Oregon State+3.0W34–1551.5W34–15UY
Sat 9/6California vs Texas Southern-44.5W35–354.5W35–3UN
Sat 9/13California vs Minnesota+3.0W27–1441.5W27–14UY
Sat 9/20California at San Diego State-14.0L0–3447.5L0–34UN
Sat 9/27California at Boston College+6.0W28–2454.5W28–24UY
Sat 10/4California vs Duke+3.5L21–4554.5L21–45ON
— Bye Week —
Fri 10/17California vs North Carolina-7.5W21–1845.5W21–18UN
Fri 10/24California at Virginia Tech+6.5L34–4250.5L34–42ON
Sat 11/1California vs Virginia+6.5L21–3152.5L21–31UN
Sat 11/8California at Louisville+18.5W29–2648.5W29–26OY
— Bye Week —
Sat 11/22California at Stanford-4.5L10–3147.5L10–31UN
Sat 11/29California vs SMU+13.5W38–3553.5W38–35OY
Wed 12/24California at Hawai'i+1.5L31–3550.5L31–35ON
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2025 season
Virginia PPA Edge
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Virginia
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Virginia
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Virginia
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Virginia #64
+0.351
California #98
+0.185
Virginia Edge
PPA Passing
Pass efficiency edge · Strong predictor
Virginia #76
+0.381
California #78
+0.374
Virginia Edge
Havoc Total
Def. disruption rate · Strong predictor
Virginia #23
0.181
California #80
0.151
TFLs, sacks, PBUs, forced fumbles — higher is better
Virginia Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Virginia #82
+7.252
California #66
+6.719
Virginia Edge
Success Rate
Play consistency edge · Solid predictor
Virginia #82
+0.839
California #95
+0.779
Virginia Edge
Field Position
Avg start (lower=better) · Solid predictor
Virginia #30
69.3
California #122
72.9
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Virginia Edge
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
Virginia Rated Higher
Overall Power Rating
Virginia
7.0
California
5.3
Offense Rating
Virginia
17.9
California
19.2
Defense Rating (lower = better defense)
Virginia
10.9
California
13.9
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Virginia Edge
Avg sequences created per game
Virginia #29
1.43
California #56
1.14
Avg sequences allowed per game (lower is better)
Virginia #9
0.71
California #80
1.29
Virginia +0.29
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 7 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Virginia Edge
Avg GC score per game (offense)
Virginia #1
55.0
California #1
51.8
Avg GC score allowed per game (lower is better)
Virginia #18
20.3
California #62
33.7
Virginia +3.2
GC Edge (season-to-date)
Teams with this edge win 49.4% of games historically
Based on 8 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on Virginia, but the GC edge is small. When metrics agree but GC is near-neutral, the agreed-upon team has covered only 46.7% of the time historically (n=224) — potentially a fade signal.

ATS data is informational only. Past cover rates do not guarantee future results.

Coaching Matchup
Virginia
Tony Elliott #1
11–23 (32%) · Yr 4 at school
OC Des Kitchings Yr 3 #1
DC John Rudzinski Yr 3 #1
Staff Rating
0.00 #1
California
Justin Wilcox #1
42–49 (46%) · Yr 9 at school
OC Bryan Harsin Yr 1 #1
DC Vacant Yr 1 #1
Staff Rating
0.00 #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