Sat, Sep 26 2026
·
Week 4
·
🏟 Bulldog Stadium
Fresno, CA
·
Turf
·
41,031 cap
Rice✈ 1,484 mi-2 hr TZ
Preseason projection — This game has not yet been played and 2026 in-season data is not yet available.
Edges are based on 2025 full-season performance.
Confidence will increase once in-season games are logged.
Matchup Prediction
Fresno State
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Fresno State entering this game.
Momentum Control
58.4%
Fresno State wins
Lean
Game Control
76%
Fresno State wins
Strong
Advanced Stats
All 4 factors agree → Fresno State
· 83.1% ATS historically when all four align
↓ See full breakdown
Rice 2026 Schedule
Rice's 2026 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/5 | Rice vs Houston Christian | -7.5 | — | — | — | — |
| Sat 9/12 | Rice at Notre Dame | +35 | — | — | — | — |
| Sat 9/19 | Rice vs Western Michigan | +10 | — | — | — | — |
| Sat 9/26 | Rice at Fresno State | +20.5 | — | — | — | — |
| Sat 10/3 | Rice vs UTSA | +15.5 | — | — | — | — |
| Sat 10/10 | Rice at East Carolina | +23 | — | — | — | — |
| Sat 10/17 | Rice vs Tulsa | +9 | — | — | — | — |
| Sat 10/24 | Rice at Florida Atlantic | +11 | — | — | — | — |
| — Bye Week — | ||||||
| Sat 11/7 | Rice at North Texas | +24.5 | — | — | — | — |
| Sat 11/14 | Rice vs Tulane | +17 | — | — | — | — |
| Thu 11/19 | Rice at Temple | +14 | — | — | — | — |
| Sat 11/28 | Rice vs Army | +13.5 | — | — | — | — |
Fresno State 2026 Schedule
Fresno State's 2026 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/5 | Fresno State at USC | +17.5 | — | — | — | — |
| Sat 9/12 | Fresno State vs Sacramento State | -9.5 | — | — | — | — |
| Sat 9/19 | Fresno State at San José State | -16.5 | — | — | — | — |
| Sat 9/26 | Fresno State vs Rice | -20.5 | — | — | — | — |
| Sat 10/3 | Fresno State at Washington State | -0.5 | — | — | — | — |
| Sat 10/10 | Fresno State vs Boise State | -1.5 | — | — | — | — |
| Sat 10/17 | Fresno State at San Diego State | +5.5 | — | — | — | — |
| — Bye Week — | ||||||
| Sat 10/31 | Fresno State vs Oregon State | -16 | — | — | — | — |
| Sat 11/7 | Fresno State at Utah State | -5.5 | — | — | — | — |
| Sat 11/14 | Fresno State at Texas State | +4 | — | — | — | — |
| Sat 11/21 | Fresno State vs Colorado State | -17 | — | — | — | — |
| Sat 11/28 | Fresno State vs TBD | -25.5 | — | — | — | — |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2025 season (prior year)
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Fresno State
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Fresno State
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Fresno 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 (prior year — 2026 data not yet available) ·
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?
Fresno State Edge
Fresno State +0.92
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2025 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Fresno State Edge
Fresno State +22.7
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2025 full season · preseason estimate
Coaching Matchup
Rice
Scott Abell #123
5–8 (39%)
· Yr 2 at school
OC
Vince Munch
Yr 2
#124
DC
Jon Kay
Yr 2
#121
Fresno State
Matt Entz #64
9–4 (69%)
· Yr 2 at school
OC
Josh Davis
Yr 2
#107
DC
Nick Benedetto
Yr 2
#14
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 ✓