Sat, Nov 25 2023
·
Week 13
·
🏟 Rice Stadium
Houston, TX
·
Turf
·
47,000 cap
Florida Atlantic✈ 960 mi-1 hr TZ
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
58.6%
Rice wins
Lean
Vegas Spread
Rice -5
O/U 46.5
DraftKings
Advanced Stats
PPA + Success Rate agree → Rice
· 73.9% ATS historically
↓ See full breakdown
Florida Atlantic 2023 Schedule
Florida Atlantic's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Florida Atlantic vs Monmouth | -26.5W42–20 | 56.0 | W42–20 | O | N |
| Sat 9/9 | Florida Atlantic vs Ohio | -3.5L10–17 | 61.5 | L10–17 | U | N |
| Sat 9/16 | Florida Atlantic at Clemson | +25.0L14–48 | 51.5 | L14–48 | O | N |
| Sat 9/23 | Florida Atlantic at Illinois | +16.0L17–23 | 45.5 | L17–23 | U | Y |
| — Bye Week — | ||||||
| Sat 10/7 | Florida Atlantic vs Tulsa | -3.0W20–17 | 54.5 | W20–17 | U | N |
| Sat 10/14 | Florida Atlantic at South Florida | +3.0W56–14 | 61.0 | W56–14 | O | Y |
| Sat 10/21 | Florida Atlantic vs UTSA | +2.5L10–36 | 58.5 | L10–36 | U | N |
| Fri 10/27 | Florida Atlantic at Charlotte | -3.5W38–16 | 45.5 | W38–16 | O | Y |
| Sat 11/4 | Florida Atlantic at UAB | +1.0L42–45 | 59.5 | L42–45 | O | N |
| Sat 11/11 | Florida Atlantic vs East Carolina | -7.5L7–22 | 44.5 | L7–22 | U | N |
| Sat 11/18 | Florida Atlantic vs Tulane | +9.5L8–24 | 46.5 | L8–24 | U | N |
| Sat 11/25 | Florida Atlantic at Rice | +5.0L21–24 | 46.5 | L21–24 | U | Y |
Rice 2023 Schedule
Rice's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Rice at Texas | +35.5L10–37 | 59.0 | L10–37 | U | Y |
| Sat 9/9 | Rice vs Houston | +7.5W43–41 | 51.0 | W43–41 | O | Y |
| Sat 9/16 | Rice vs Texas Southern | -35.5W59–7 | 60.0 | W59–7 | O | Y |
| Sat 9/23 | Rice at South Florida | -2.5L29–42 | 56.5 | L29–42 | O | N |
| Sat 9/30 | Rice vs East Carolina | -3.5W24–17 | 47.0 | W24–17 | U | Y |
| Sat 10/7 | Rice vs UConn | -10.0L31–38 | 47.5 | L31–38 | O | N |
| — Bye Week — | ||||||
| Thu 10/19 | Rice at Tulsa | +3.0W42–10 | 56.5 | W42–10 | U | Y |
| Sat 10/28 | Rice vs Tulane | +10.0L28–30 | 55.0 | L28–30 | O | Y |
| Sat 11/4 | Rice vs SMU | +12.0L31–36 | 59.5 | L31–36 | O | Y |
| Sat 11/11 | Rice at UTSA | +13.5L14–34 | 53.5 | L14–34 | U | N |
| Sat 11/18 | Rice at Charlotte | +0.5W28–7 | 46.5 | W28–7 | U | Y |
| Sat 11/25 | Rice vs Florida Atlantic | -5.0W24–21 | 46.5 | W24–21 | U | N |
| Tue 12/26 | Rice vs Texas State | +3.5L21–45 | 58.5 | L21–45 | O | 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
→ Rice
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?
Florida Atlantic +0.00
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?
Rice Edge
Rice +5.2
GC Edge (season-to-date)
Teams with this edge win 58.6% of games historically
Based on 11 games this season
Actual Result
CSS Battle
Rice
1 — 0 sequences
GC Battle
Rice
39.4 — 27.4 GC score
✓ Predicted correctly
Game Result
Rice won by 3
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Rice. Teams with this edge profile have covered 50.3% historically — essentially a coin flip against the spread.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Florida Atlantic
Tom Herman #1
1–2 (33%)
· Yr 1 at school
OC
Charlie Frye
Yr 1
#1
DC
Roc Bellantoni
Yr 1
#1
Rice
Mike Bloomgren #1
18–40 (31%)
· Yr 6 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: 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 ✓