Sat, Oct 21 2023
·
Week 8
·
🏟 Spartan Stadium
San Jose, CA
·
Turf
·
30,456 cap
Utah State✈ 616 mi-1 hr TZ
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 -4
O/U 65.0
William Hill (New Jersey)
Advanced Stats
PPA + Success Rate agree → San José State
· 73.9% ATS historically
↓ See full breakdown
Utah State 2023 Schedule
Utah State's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Utah State at Iowa | +24.0L14–24 | 43.5 | L14–24 | U | Y |
| Sat 9/9 | Utah State vs Idaho State | -24.0W78–28 | 61.0 | W78–28 | O | Y |
| Fri 9/15 | Utah State at Air Force | +9.0L21–39 | 45.5 | L21–39 | O | N |
| Sat 9/23 | Utah State vs James Madison | +5.5L38–45 | 53.5 | L38–45 | O | N |
| Sat 9/30 | Utah State at UConn | -4.0W34–33 | 50.5 | W34–33 | O | N |
| Sat 10/7 | Utah State vs Colorado State | +3.0W44–24 | 62.0 | W44–24 | O | Y |
| Fri 10/13 | Utah State vs Fresno State | +5.5L32–37 | 56.0 | L32–37 | O | Y |
| Sat 10/21 | Utah State at San José State | +4.0L21–42 | 65.0 | L21–42 | U | N |
| — Bye Week — | ||||||
| Sat 11/4 | Utah State at San Diego State | -2.0W32–24 | 56.5 | W32–24 | U | Y |
| Sat 11/11 | Utah State vs Nevada | -14.5W41–24 | 54.5 | W41–24 | O | Y |
| Sat 11/18 | Utah State vs Boise State | +5.5L10–45 | 62.5 | L10–45 | U | N |
| Fri 11/24 | Utah State at New Mexico | -4.5W44–41 | 58.5 | W44–41 | O | N |
| Sat 12/23 | Utah State vs Georgia State | -2.0L22–45 | 58.0 | L22–45 | O | N |
San José State 2023 Schedule
San José State's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/26 | San José State at USC | +31.5L28–56 | 66.0 | L28–56 | O | Y |
| Sun 9/3 | San José State vs Oregon State | +14.0L17–42 | 56.5 | L17–42 | O | N |
| Sat 9/9 | San José State vs Cal Poly | -23.5W59–3 | 60.0 | W59–3 | O | Y |
| Sat 9/16 | San José State at Toledo | +9.0L17–21 | 56.5 | L17–21 | U | Y |
| Fri 9/22 | San José State vs Air Force | +6.0L20–45 | 45.5 | L20–45 | O | N |
| — Bye Week — | ||||||
| Sat 10/7 | San José State at Boise State | +8.0L27–35 | 57.5 | L27–35 | O | Y |
| Sat 10/14 | San José State at New Mexico | -6.5W52–24 | 55.0 | W52–24 | O | Y |
| Sat 10/21 | San José State vs Utah State | -4.0W42–21 | 65.0 | W42–21 | U | Y |
| Sat 10/28 | San José State at Hawai'i | -10.5W35–0 | 57.0 | W35–0 | U | Y |
| — Bye Week — | ||||||
| Sat 11/11 | San José State vs Fresno State | -2.5W42–18 | 51.5 | W42–18 | O | Y |
| Sat 11/18 | San José State vs San Diego State | -16.5W24–13 | 48.5 | W24–13 | U | N |
| Sat 11/25 | San José State at UNLV | +3.5W37–31 | 58.5 | W37–31 | O | Y |
| Sat 12/23 | San José State vs Coastal Carolina | -7.5L14–24 | 48.0 | L14–24 | U | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2023 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
→ 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 · 2023 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 +0.33
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 6 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
San José State Edge
San José State +12.9
GC Edge (season-to-date)
Teams with this edge win 67.1% of games historically
Based on 7 games this season
Actual Result
CSS Battle
Tie
1 — 1 sequences
✗ Predicted incorrectly
GC Battle
San José State
76.7 — 8.9 GC score
✓ Predicted correctly
Game Result
San José State won by 21
✓ 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
Utah State
Blake Anderson #1
18–12 (60%)
· Yr 3 at school
OC
Kyle Cefalo
Yr 1
#1
DC
Joe Cauthen
Yr 1
#1
San José State
Brent Brennan #1
28–45 (38%)
· Yr 7 at school
OC
Kevin McGiven
Yr 3
#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: 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 ✓