Sat, Aug 31 2024
·
Week 1
·
🏟 Rice Stadium
Houston, TX
·
Turf
·
47,000 cap
Matchup Prediction
Toss-up — no clear edge
Neither metric shows a meaningful pre-game edge in this matchup.
Momentum Control
58.4%
—
Lean
Game Control
50.6%
—
Toss-up
Vegas Spread
Rice -9.5
O/U 49.0
Bovada
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
Sam Houston 2024 Schedule
Sam Houston's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Sam Houston at Rice | +9.5W34–14 | 49.0 | W34–14 | U | Y |
| Sat 9/7 | Sam Houston at UCF | +21.5L14–45 | 53.5 | L14–45 | O | N |
| Sat 9/14 | Sam Houston vs Hawai'i | -3.5W31–13 | 48.5 | W31–13 | U | Y |
| Sat 9/21 | Sam Houston vs New Mexico State | -15.5W31–11 | 44.5 | W31–11 | U | Y |
| Sat 9/28 | Sam Houston vs Texas State | +11.0W40–39 | 55.0 | W40–39 | O | Y |
| Thu 10/3 | Sam Houston at UTEP | -10.0W41–21 | 49.5 | W41–21 | O | Y |
| — Bye Week — | ||||||
| Wed 10/16 | Sam Houston vs Western Kentucky | -1.5L14–31 | 55.0 | L14–31 | U | N |
| Tue 10/22 | Sam Houston vs Florida International | -5.0W10–7 | 47.0 | W10–7 | U | N |
| Tue 10/29 | Sam Houston vs Louisiana Tech | -10.5W9–3 | 45.5 | W9–3 | U | N |
| — Bye Week — | ||||||
| Sat 11/16 | Sam Houston at Kennesaw State | -21.0W23–17 | 42.5 | W23–17 | U | N |
| Sat 11/23 | Sam Houston at Jacksonville State | +5.5L11–21 | 57.5 | L11–21 | U | N |
| Fri 11/29 | Sam Houston vs Liberty | +2.5W20–18 | 47.5 | W20–18 | U | Y |
| Thu 12/19 | Sam Houston vs Georgia Southern | +3.5W31–26 | 48.0 | W31–26 | O | Y |
Rice 2024 Schedule
Rice's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Rice vs Sam Houston | -9.5L14–34 | 49.0 | L14–34 | U | N |
| Sat 9/7 | Rice vs Texas Southern | -30.0W69–7 | 52.5 | W69–7 | O | Y |
| Sat 9/14 | Rice at Houston | +3.5L7–33 | 43.5 | L7–33 | U | N |
| Sat 9/21 | Rice at Army | +7.0L14–37 | 44.0 | L14–37 | O | N |
| Sat 9/28 | Rice vs Charlotte | -4.0L20–21 | 48.0 | L20–21 | U | N |
| — Bye Week — | ||||||
| Sat 10/12 | Rice vs UTSA | +3.5W29–27 | 51.0 | W29–27 | O | Y |
| Sat 10/19 | Rice at Tulane | +21.5L10–24 | 53.5 | L10–24 | U | Y |
| Sat 10/26 | Rice at UConn | +6.5L10–17 | 47.0 | L10–17 | U | N |
| Sat 11/2 | Rice vs Navy | +12.5W24–10 | 49.0 | W24–10 | U | Y |
| Fri 11/8 | Rice at Memphis | +7.5L20–27 | 50.5 | L20–27 | U | Y |
| — Bye Week — | ||||||
| Sat 11/23 | Rice at UAB | -7.0L14–40 | 52.0 | L14–40 | O | N |
| Sat 11/30 | Rice vs South Florida | +5.5W35–28 | 53.5 | W35–28 | O | Y |
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
Split
Metrics disagree
Elite · 82.4% ATS
PPA + PPO + Havoc
Split
Metrics disagree
Elite · 73.9% ATS
PPA + Success Rate
Split
Metrics disagree
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?
Sam Houston Edge
Sam Houston +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 0 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Sam Houston Edge
Sam Houston +0.0
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 0 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Rice, 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
Sam Houston
K. C. Keeler #1
88–36 (71%)
· Yr 11 at school
OC
Brad Cornelsen
Yr 2
#1
DC
Skyler Cassity
Yr 1
#1
Rice
Mike Bloomgren #1
22–46 (32%)
· Yr 7 at school
OC
Marques Tuiasosopo
Yr 3
#1
DC
Brian Smith
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 ✓