Matchup Prediction
Arizona
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Arizona entering this game.
Momentum Control
58.4%
Arizona wins
Lean
Game Control
50.6%
Arizona wins
Toss-up
Vegas Spread
Arizona -2.5
O/U 57.5
DraftKings
Advanced Stats
All 4 factors agree → Colorado
· 83.1% ATS historically when all four align
↓ See full breakdown
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 |
Arizona 2024 Schedule
Arizona's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Arizona vs New Mexico | -28.0W61–39 | 60.0 | W61–39 | O | N |
| Sat 9/7 | Arizona vs Northern Arizona | -43.0W22–10 | 65.0 | W22–10 | U | N |
| Fri 9/13 | Arizona at Kansas State | +7.0L7–31 | 58.0 | L7–31 | U | N |
| — Bye Week — | ||||||
| Sat 9/28 | Arizona at Utah | +7.5W23–10 | 47.0 | W23–10 | U | Y |
| Sat 10/5 | Arizona vs Texas Tech | -6.0L22–28 | 64.0 | L22–28 | U | N |
| Sat 10/12 | Arizona at BYU | +3.0L19–41 | 48.5 | L19–41 | O | N |
| Sat 10/19 | Arizona vs Colorado | -2.5L7–34 | 57.5 | L7–34 | U | N |
| Sat 10/26 | Arizona vs West Virginia | -5.5L26–31 | 51.5 | L26–31 | O | N |
| Sat 11/2 | Arizona at UCF | +6.5L12–56 | 55.0 | L12–56 | O | N |
| — Bye Week — | ||||||
| Fri 11/15 | Arizona vs Houston | -1.0W27–3 | 46.5 | W27–3 | U | Y |
| Sat 11/23 | Arizona at TCU | +10.5L28–49 | 60.0 | L28–49 | O | N |
| Sat 11/30 | Arizona vs Arizona State | +7.5L7–49 | 52.5 | L7–49 | O | 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
All 4 Agree
→ Colorado
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Colorado
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Colorado
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?
Arizona Edge
Arizona +0.40
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 5 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Arizona Edge
Arizona +1.7
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 6 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Arizona, 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
Colorado
Deion Sanders #1
4–8 (33%)
· Yr 2 at school
OC
Pat Shurmur
Yr 1
#1
DC
Robert Livingston
Yr 1
#1
Arizona
Brent Brennan #1
0–0 (0%)
· Yr 1 at school
OC
Dino Babers
Yr 1
#1
DC
Duane Akina
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 ✓