Sat, Nov 26 2022
·
Week 13
·
🏟 Apogee Stadium
Denton, TX
·
Turf
·
30,850 cap
Rice✈ 262 miSame TZ
Matchup Prediction
North Texas
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
North Texas entering this game.
Momentum Control
71.6%
North Texas wins
Solid
Game Control
76%
North Texas wins
Strong
Vegas Spread
North Texas -14.5
O/U 57.0
William Hill (New Jersey)
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
Rice 2022 Schedule
Rice's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | Rice at USC | +33.0L14–66 | 61.5 | L14–66 | O | N |
| Sat 9/10 | Rice vs McNeese | -7.5W52–10 | 52.5 | W52–10 | O | Y |
| Sat 9/17 | Rice vs Louisiana | +11.5W33–21 | 52.0 | W33–21 | O | Y |
| Sat 9/24 | Rice at Houston | +17.5L27–34 | 52.5 | L27–34 | O | Y |
| Sat 10/1 | Rice vs UAB | +10.5W28–24 | 51.0 | W28–24 | O | Y |
| — Bye Week — | ||||||
| Sat 10/15 | Rice at Florida Atlantic | +5.0L14–17 | 54.5 | L14–17 | U | Y |
| Sat 10/22 | Rice at Louisiana Tech | -3.0W42–41 | 57.0 | W42–41 | O | N |
| Sat 10/29 | Rice vs Charlotte | -15.0L23–56 | 61.0 | L23–56 | O | N |
| Thu 11/3 | Rice vs UTEP | -3.5W37–30 | 47.0 | W37–30 | O | Y |
| Sat 11/12 | Rice at Western Kentucky | +13.5L10–45 | 61.0 | L10–45 | U | N |
| Sat 11/19 | Rice vs UTSA | +14.0L7–41 | 56.0 | L7–41 | U | N |
| Sat 11/26 | Rice at North Texas | +14.5L17–21 | 57.0 | L17–21 | U | Y |
| Sat 12/17 | Rice vs Southern Miss | +7.0L24–38 | 46.5 | L24–38 | O | N |
North Texas 2022 Schedule
North Texas's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/27 | North Texas at UTEP | -1.5W31–13 | 52.5 | W31–13 | U | Y |
| Sat 9/3 | North Texas vs SMU | +9.5L10–48 | 67.5 | L10–48 | U | N |
| Sat 9/10 | North Texas vs Texas Southern | -38.5W59–27 | 64.5 | W59–27 | O | N |
| Sat 9/17 | North Texas at UNLV | +2.5L27–58 | 62.5 | L27–58 | O | N |
| Sat 9/24 | North Texas at Memphis | +13.0L34–44 | 68.5 | L34–44 | O | Y |
| Sat 10/1 | North Texas vs Florida Atlantic | +3.0W45–28 | 67.5 | W45–28 | O | Y |
| — Bye Week — | ||||||
| Sat 10/15 | North Texas vs Louisiana Tech | -6.5W47–27 | 68.0 | W47–27 | O | Y |
| Sat 10/22 | North Texas at UTSA | +10.0L27–31 | 73.0 | L27–31 | U | Y |
| Sat 10/29 | North Texas at Western Kentucky | +10.0W40–13 | 70.0 | W40–13 | U | Y |
| Sat 11/5 | North Texas vs Florida International | -21.0W52–14 | 63.5 | W52–14 | O | Y |
| Sat 11/12 | North Texas at UAB | +6.5L21–41 | 58.0 | L21–41 | O | N |
| — Bye Week — | ||||||
| Sat 11/26 | North Texas vs Rice | -14.5W21–17 | 57.0 | W21–17 | U | N |
| Fri 12/2 | North Texas at UTSA | +8.5L27–48 | 70.0 | L27–48 | O | N |
| Sat 12/17 | North Texas vs Boise State | +12.0L32–35 | 63.0 | L32–35 | O | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2022 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 · 2022 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?
North Texas Edge
North Texas +1.10
CSS Edge (season-to-date)
Teams with this edge win 71.6% of games historically
Based on 10 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
North Texas Edge
North Texas +21.1
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 11 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on North Texas with a large edge. Historically, dominant teams like this are fully priced into the spread — the agreed-upon team covers just 50.2% of the time. The metrics predict game control better than they beat the number.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Rice
Mike Bloomgren #1
11–31 (26%)
· Yr 5 at school
OC
Marques Tuiasosopo
Yr 2
#1
DC
Brian Smith
Yr 2
#1
North Texas
Seth Littrell #1
37–38 (49%)
· Yr 7 at school
OC
Mike Bloesch
Yr 2
#1
DC
Phil Bennett
Yr 2
#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 ✓