Matchup Prediction
Baylor
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Baylor entering this game.
Momentum Control
73.7%
Baylor wins
Solid
Game Control
64.9%
Baylor wins
Lean
Vegas Spread
Colorado -2.5
O/U 52.5
DraftKings
Advanced Stats
3 factors agree (PPA + PPO + Havoc) → Colorado
· 82.4% ATS historically
↓ See full breakdown
Baylor 2024 Schedule
Baylor's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Baylor vs Tarleton State | -33.5W45–3 | 53.5 | W45–3 | U | Y |
| Sat 9/7 | Baylor at Utah | +14.5L12–23 | 52.5 | L12–23 | U | Y |
| Sat 9/14 | Baylor vs Air Force | -17.5W31–3 | 40.5 | W31–3 | U | Y |
| Sat 9/21 | Baylor at Colorado | +2.5L31–38 | 52.5 | L31–38 | O | N |
| Sat 9/28 | Baylor vs BYU | -3.0L28–34 | 47.0 | L28–34 | O | N |
| Sat 10/5 | Baylor at Iowa State | +13.0L21–43 | 45.0 | L21–43 | O | N |
| — Bye Week — | ||||||
| Sat 10/19 | Baylor at Texas Tech | +4.5W59–35 | 56.0 | W59–35 | O | Y |
| Sat 10/26 | Baylor vs Oklahoma State | -7.0W38–28 | 64.5 | W38–28 | O | Y |
| Sat 11/2 | Baylor vs TCU | -2.5W37–34 | 64.0 | W37–34 | O | Y |
| — Bye Week — | ||||||
| Sat 11/16 | Baylor at West Virginia | -2.0W49–35 | 60.0 | W49–35 | O | Y |
| Sat 11/23 | Baylor at Houston | -7.0W20–10 | 51.0 | W20–10 | U | Y |
| Sat 11/30 | Baylor vs Kansas | +2.5W45–17 | 62.5 | W45–17 | U | Y |
| Tue 12/31 | Baylor vs LSU | -3.0L31–44 | 62.5 | L31–44 | O | N |
Colorado 2024 Schedule
Colorado's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/29 | Colorado vs North Dakota State | -9.0W31–26 | 59.0 | W31–26 | U | N |
| Sat 9/7 | Colorado at Nebraska | +6.5L10–28 | 55.0 | L10–28 | U | N |
| Sat 9/14 | Colorado at Colorado State | -7.5W28–9 | 58.5 | W28–9 | U | Y |
| Sat 9/21 | Colorado vs Baylor | -2.5W38–31 | 52.5 | W38–31 | O | Y |
| Sat 9/28 | Colorado at UCF | +12.5W48–21 | 60.5 | W48–21 | O | Y |
| — Bye Week — | ||||||
| Sat 10/12 | Colorado vs Kansas State | +3.5L28–31 | 54.5 | L28–31 | O | Y |
| Sat 10/19 | Colorado at Arizona | +2.5W34–7 | 57.5 | W34–7 | U | Y |
| Sat 10/26 | Colorado vs Cincinnati | -6.0W34–23 | 57.0 | W34–23 | U | Y |
| — Bye Week — | ||||||
| Sat 11/9 | Colorado at Texas Tech | -5.0W41–27 | 62.0 | W41–27 | O | Y |
| Sat 11/16 | Colorado vs Utah | -13.5W49–24 | 43.5 | W49–24 | O | Y |
| Sat 11/23 | Colorado vs Kansas | -2.5L21–37 | 59.0 | L21–37 | U | N |
| Fri 11/29 | Colorado vs Oklahoma State | -14.5W52–0 | 66.5 | W52–0 | U | Y |
| Sat 12/28 | Colorado vs BYU | -3.0L14–36 | 55.5 | L14–36 | 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
3 Agree
→ Colorado
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?
Baylor Edge
Baylor +1.50
CSS Edge (season-to-date)
Teams with this edge win 73.7% of games historically
Based on 2 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Baylor Edge
Baylor +16.4
GC Edge (season-to-date)
Teams with this edge win 64.9% of games historically
Based on 3 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Baylor with a moderate edge in both. This is the strongest ATS signal in our backtest: teams in this situation have covered 55.8% of the time (n=113).
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Baylor
Dave Aranda #1
23–25 (48%)
· Yr 5 at school
OC
Jake Spavital
Yr 1
#1
DC
Matt Powledge
Yr 2
#1
Colorado
Deion Sanders #1
4–8 (33%)
· Yr 2 at school
OC
Pat Shurmur
Yr 1
#1
DC
Robert Livingston
Yr 1
#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 ✓