Sat, Sep 27 2025
·
Week 5
·
🏟 Jack Trice Stadium
Ames, IA
·
Turf
·
61,500 cap
Arizona✈ 1,165 mi+2 hr TZ
Matchup Prediction
Arizona
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Arizona entering this game.
Momentum Control
61.3%
Arizona wins
Lean
Game Control
75.9%
Arizona wins
Solid
Vegas Spread
Iowa State -4
O/U 48.5
DraftKings
Advanced Stats
PPA + Success Rate agree → Iowa State
· 73.9% ATS historically
↓ See full breakdown
Arizona 2025 Schedule
Arizona's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Arizona vs Hawai'i | -13.5W40–6 | 55.5 | W40–6 | U | Y |
| Sat 9/6 | Arizona vs Weber State | -31.5W48–3 | 56.5 | W48–3 | U | Y |
| Fri 9/12 | Arizona vs Kansas State | +1.5W23–17 | 55.5 | W23–17 | U | Y |
| — Bye Week — | ||||||
| Sat 9/27 | Arizona at Iowa State | +4.0L14–39 | 48.5 | L14–39 | O | N |
| Sat 10/4 | Arizona vs Oklahoma State | -21.5W41–13 | 56.5 | W41–13 | U | Y |
| Sat 10/11 | Arizona vs BYU | +2.5L27–33 | 46.5 | L27–33 | O | N |
| Sat 10/18 | Arizona at Houston | -1.5L28–31 | 47.5 | L28–31 | O | N |
| — Bye Week — | ||||||
| Sat 11/1 | Arizona at Colorado | -4.0W52–17 | 52.5 | W52–17 | O | Y |
| Sat 11/8 | Arizona vs Kansas | -5.5W24–20 | 56.5 | W24–20 | U | N |
| Sat 11/15 | Arizona at Cincinnati | +6.5W30–24 | 56.5 | W30–24 | U | Y |
| Sat 11/22 | Arizona vs Baylor | -6.5W41–17 | 61.5 | W41–17 | U | Y |
| Fri 11/28 | Arizona at Arizona State | -2.0W23–7 | 48.5 | W23–7 | U | Y |
| Fri 1/2 | Arizona vs SMU | +2.5L19–24 | 55.5 | L19–24 | U | N |
Iowa State 2025 Schedule
Iowa State's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/23 | Iowa State vs Kansas State | +2.5W24–21 | 51.5 | W24–21 | U | Y |
| Sat 8/30 | Iowa State vs South Dakota | -16.5W55–7 | 47.5 | W55–7 | O | Y |
| Sat 9/6 | Iowa State vs Iowa | -3.0W16–13 | 43.0 | W16–13 | U | N |
| Sat 9/13 | Iowa State at Arkansas State | -21.0W24–16 | 55.5 | W24–16 | U | N |
| — Bye Week — | ||||||
| Sat 9/27 | Iowa State vs Arizona | -4.0W39–14 | 48.5 | W39–14 | O | Y |
| Sat 10/4 | Iowa State at Cincinnati | +1.5L30–38 | 55.5 | L30–38 | O | N |
| Sat 10/11 | Iowa State at Colorado | -3.0L17–24 | 52.5 | L17–24 | U | N |
| — Bye Week — | ||||||
| Sat 10/25 | Iowa State vs BYU | -2.5L27–41 | 48.5 | L27–41 | O | N |
| Sat 11/1 | Iowa State vs Arizona State | -7.5L19–24 | 48.5 | L19–24 | U | N |
| Sat 11/8 | Iowa State at TCU | +7.5W20–17 | 58.5 | W20–17 | U | Y |
| — Bye Week — | ||||||
| Sat 11/22 | Iowa State vs Kansas | -3.0W38–14 | 55.5 | W38–14 | U | Y |
| Sat 11/29 | Iowa State at Oklahoma State | -13.5W20–13 | 47.5 | W20–13 | U | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2025 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
→ Iowa State
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 · 2025 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 +0.50
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 3 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Arizona Edge
Arizona +23.3
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 4 games this season
Actual Result
CSS Battle
Iowa State
1 — 0 sequences
✗ Predicted incorrectly
GC Battle
Iowa State
89.8 — 3.8 GC score
✗ Predicted incorrectly
Game Result
Iowa State won by 25
✗ Model missed it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Arizona 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
Arizona
Brent Brennan #1
4–8 (33%)
· Yr 2 at school
OC
Seth Doege
Yr 1
#1
DC
Danny Gonzales
Yr 1
#1
Iowa State
Matt Campbell #1
63–51 (55%)
· Yr 10 at school
OC
Taylor Mouser
Yr 2
#1
DC
Jon Heacock
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 ✓