Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Houston,
while Game Control favors Kansas.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
61.3%
Houston wins
Lean
Game Control
67.1%
Kansas wins
Solid
Vegas Spread
Kansas -4.5
O/U 45.5
DraftKings
Advanced Stats
PPA + Success Rate agree → Kansas
· 73.9% ATS historically
↓ See full breakdown
Houston 2024 Schedule
Houston's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Houston vs UNLV | -3.0L7–27 | 56.0 | L7–27 | U | N |
| Sat 9/7 | Houston at Oklahoma | +27.5L12–16 | 48.5 | L12–16 | U | Y |
| Sat 9/14 | Houston vs Rice | -3.5W33–7 | 43.5 | W33–7 | U | Y |
| Sat 9/21 | Houston at Cincinnati | +4.0L0–34 | 47.5 | L0–34 | U | N |
| Sat 9/28 | Houston vs Iowa State | +16.0L0–20 | 43.0 | L0–20 | U | N |
| Fri 10/4 | Houston at TCU | +16.5W30–19 | 52.0 | W30–19 | U | Y |
| — Bye Week — | ||||||
| Sat 10/19 | Houston vs Kansas | +4.5L14–42 | 45.5 | L14–42 | O | N |
| Sat 10/26 | Houston vs Utah | +4.5W17–14 | 36.0 | W17–14 | U | Y |
| Sat 11/2 | Houston vs Kansas State | +12.5W24–19 | 46.5 | W24–19 | U | Y |
| — Bye Week — | ||||||
| Fri 11/15 | Houston at Arizona | +1.0L3–27 | 46.5 | L3–27 | U | N |
| Sat 11/23 | Houston vs Baylor | +7.0L10–20 | 51.0 | L10–20 | U | N |
| Sat 11/30 | Houston at BYU | +9.5L18–30 | 39.5 | L18–30 | O | N |
Kansas 2024 Schedule
Kansas's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/29 | Kansas vs Lindenwood | -48.5W48–3 | 62.5 | W48–3 | U | N |
| Sat 9/7 | Kansas at Illinois | -4.5L17–23 | 58.5 | L17–23 | U | N |
| Fri 9/13 | Kansas vs UNLV | -7.0L20–23 | 57.0 | L20–23 | U | N |
| Sat 9/21 | Kansas at West Virginia | +1.5L28–32 | 56.0 | L28–32 | O | N |
| Sat 9/28 | Kansas vs TCU | -1.5L27–38 | 58.5 | L27–38 | O | N |
| Sat 10/5 | Kansas at Arizona State | +2.5L31–35 | 50.0 | L31–35 | O | N |
| — Bye Week — | ||||||
| Sat 10/19 | Kansas vs Houston | -4.5W42–14 | 45.5 | W42–14 | O | Y |
| Sat 10/26 | Kansas at Kansas State | +10.0L27–29 | 56.5 | L27–29 | U | Y |
| — Bye Week — | ||||||
| Sat 11/9 | Kansas vs Iowa State | +2.5W45–36 | 50.5 | W45–36 | O | Y |
| Sat 11/16 | Kansas at BYU | +3.0W17–13 | 55.5 | W17–13 | U | Y |
| Sat 11/23 | Kansas vs Colorado | +2.5W37–21 | 59.0 | W37–21 | U | Y |
| Sat 11/30 | Kansas at Baylor | -2.5L17–45 | 62.5 | L17–45 | U | N |
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
Both Agree
→ Kansas
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?
Houston Edge
Houston +0.17
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 5 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Kansas Edge
Kansas +12.1
GC Edge (season-to-date)
Teams with this edge win 67.1% of games historically
Based on 6 games this season
Actual Result
CSS Battle
Kansas
2 — 0 sequences
✗ Predicted incorrectly
GC Battle
Kansas
87.9 — 5.3 GC score
✓ Predicted correctly
Game Result
Kansas won by 28
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
CSS and GC disagree on this matchup. When the metrics split, historical cover rates are essentially random — treat this as a coin flip against the spread.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Houston
Willie Fritz #1
0–0 (0%)
· Yr 1 at school
OC
Kevin Barbay
Yr 1
#1
DC
Shiel Wood
Yr 1
#1
Kansas
Lance Leipold #1
17–21 (45%)
· Yr 4 at school
OC
Jeff Grimes
Yr 1
#1
DC
Brian Borland
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 ✓