Fri, Nov 29 2024
·
Week 14
·
🏟 Spartan Stadium
San Jose, CA
·
Turf
·
30,456 cap
Matchup Prediction
San José State
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
San José State entering this game.
Momentum Control
58.4%
San José State wins
Lean
Game Control
67.1%
San José State wins
Solid
Vegas Spread
San José State -2.5
O/U 54.5
ESPN Bet
Advanced Stats
All 4 factors agree → San José State
· 83.1% ATS historically when all four align
↓ See full breakdown
Stanford 2024 Schedule
Stanford's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Fri 8/30 | Stanford vs TCU | +8.0L27–34 | 58.5 | L27–34 | O | Y |
| Sat 9/7 | Stanford vs Cal Poly | -33.5W41–7 | 59.5 | W41–7 | U | Y |
| — Bye Week — | ||||||
| Fri 9/20 | Stanford at Syracuse | +9.5W26–24 | 56.5 | W26–24 | U | Y |
| Sat 9/28 | Stanford at Clemson | +24.0L14–40 | 58.0 | L14–40 | U | N |
| Sat 10/5 | Stanford vs Virginia Tech | +9.5L7–31 | 50.0 | L7–31 | U | N |
| Sat 10/12 | Stanford at Notre Dame | +22.5L7–49 | 45.5 | L7–49 | O | N |
| Sat 10/19 | Stanford vs SMU | +16.5L10–40 | 52.5 | L10–40 | U | N |
| Sat 10/26 | Stanford vs Wake Forest | +3.0L24–27 | 53.0 | L24–27 | U | Y |
| Sat 11/2 | Stanford at NC State | +10.0L28–59 | 46.5 | L28–59 | O | N |
| — Bye Week — | ||||||
| Sat 11/16 | Stanford vs Louisville | +21.0W38–35 | 57.5 | W38–35 | O | Y |
| Sat 11/23 | Stanford at California | +15.0L21–24 | 53.5 | L21–24 | U | Y |
| Fri 11/29 | Stanford at San José State | +2.5L31–34 | 54.5 | L31–34 | O | N |
San José State 2024 Schedule
San José State's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/29 | San José State vs Sacramento State | -2.5W42–24 | 62.5 | W42–24 | O | Y |
| Sat 9/7 | San José State at Air Force | +1.5W17–7 | 43.5 | W17–7 | U | Y |
| Sat 9/14 | San José State vs Kennesaw State | -16.5W31–10 | 41.5 | W31–10 | U | Y |
| Fri 9/20 | San José State at Washington State | +13.0L52–54 | 55.5 | L52–54 | O | Y |
| — Bye Week — | ||||||
| Sat 10/5 | San José State vs Nevada | -7.0W35–31 | 51.5 | W35–31 | O | N |
| Sat 10/12 | San José State at Colorado State | +2.5L24–31 | 55.5 | L24–31 | U | N |
| Sat 10/19 | San José State vs Wyoming | -13.0W24–14 | 53.0 | W24–14 | U | N |
| Sat 10/26 | San José State at Fresno State | +6.5L10–33 | 55.0 | L10–33 | U | N |
| — Bye Week — | ||||||
| Sat 11/9 | San José State at Oregon State | +3.0W24–13 | 58.5 | W24–13 | U | Y |
| Sat 11/16 | San José State vs Boise State | +14.5L21–42 | 62.0 | L21–42 | O | N |
| Fri 11/22 | San José State vs UNLV | +7.5L16–27 | 59.5 | L16–27 | U | N |
| Fri 11/29 | San José State vs Stanford | -2.5W34–31 | 54.5 | W34–31 | O | Y |
| Tue 12/24 | San José State vs South Florida | +1.5L39–41 | 66.5 | L39–41 | O | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2024 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ San José State
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ San José State
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ San José 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 · 2024 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?
San José State Edge
San José State +0.10
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?
San José State Edge
San José State +13.6
GC Edge (season-to-date)
Teams with this edge win 67.1% of games historically
Based on 11 games this season
Actual Result
CSS Battle
San José State
2 — 0 sequences
✓ Predicted correctly
GC Battle
San José State
49.9 — 30.2 GC score
✓ Predicted correctly
Game Result
San José State won by 3
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on San José 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
Stanford
Troy Taylor #1
3–9 (25%)
· Yr 2 at school
OC
Troy Taylor
Yr 2
#1
DC
Bobby April III
Yr 2
#1
San José State
Ken Niumatalolo #1
0–0 (0%)
· Yr 1 at school
OC
Craig Stutzmann
Yr 1
#1
DC
Derrick Odum
Yr 3
#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 ✓