Sat, Nov 2 2024
·
Week 10
·
🏟 Jack Trice Stadium
Ames, IA
·
Turf
·
61,500 cap
Texas Tech✈ 734 miSame TZ
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Iowa State,
while Game Control favors Texas Tech.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
58.4%
Iowa State wins
Lean
Game Control
58.3%
Texas Tech wins
Lean
Vegas Spread
Iowa State -13.5
O/U 55.0
DraftKings
Advanced Stats
3 factors agree (PPA + PPO + Havoc) → Iowa State
· 82.4% ATS historically
↓ See full breakdown
Texas Tech 2024 Schedule
Texas Tech's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Texas Tech vs Abilene Christian | -34.5W52–51 | 58.5 | W52–51 | O | N |
| Sat 9/7 | Texas Tech at Washington State | -2.5L16–37 | 64.5 | L16–37 | U | N |
| Sat 9/14 | Texas Tech vs North Texas | -10.5W66–21 | 70.5 | W66–21 | O | Y |
| Sat 9/21 | Texas Tech vs Arizona State | -4.5W30–22 | 58.5 | W30–22 | U | Y |
| Sat 9/28 | Texas Tech vs Cincinnati | -3.0W44–41 | 60.0 | W44–41 | O | N |
| Sat 10/5 | Texas Tech at Arizona | +6.0W28–22 | 64.0 | W28–22 | U | Y |
| — Bye Week — | ||||||
| Sat 10/19 | Texas Tech vs Baylor | -4.5L35–59 | 56.0 | L35–59 | O | N |
| Sat 10/26 | Texas Tech at TCU | +5.0L34–35 | 66.0 | L34–35 | O | Y |
| Sat 11/2 | Texas Tech at Iowa State | +13.5W23–22 | 55.0 | W23–22 | U | Y |
| Sat 11/9 | Texas Tech vs Colorado | +5.0L27–41 | 62.0 | L27–41 | O | N |
| — Bye Week — | ||||||
| Sat 11/23 | Texas Tech at Oklahoma State | -5.0W56–48 | 63.5 | W56–48 | O | Y |
| Sat 11/30 | Texas Tech vs West Virginia | -2.5W52–15 | 61.5 | W52–15 | O | Y |
| Fri 12/27 | Texas Tech vs Arkansas | -3.5L26–39 | 52.5 | L26–39 | O | N |
Iowa State 2024 Schedule
Iowa State's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Iowa State vs North Dakota | -30.5W21–3 | 51.5 | W21–3 | U | N |
| Sat 9/7 | Iowa State at Iowa | +3.0W20–19 | 35.0 | W20–19 | O | Y |
| — Bye Week — | ||||||
| Sat 9/21 | Iowa State vs Arkansas State | -20.5W52–7 | 52.0 | W52–7 | O | Y |
| Sat 9/28 | Iowa State at Houston | -16.0W20–0 | 43.0 | W20–0 | U | Y |
| Sat 10/5 | Iowa State vs Baylor | -13.0W43–21 | 45.0 | W43–21 | O | Y |
| Sat 10/12 | Iowa State at West Virginia | -3.0W28–16 | 54.0 | W28–16 | U | Y |
| Sat 10/19 | Iowa State vs UCF | -13.0W38–35 | 49.5 | W38–35 | O | N |
| — Bye Week — | ||||||
| Sat 11/2 | Iowa State vs Texas Tech | -13.5L22–23 | 55.0 | L22–23 | U | N |
| Sat 11/9 | Iowa State vs Kansas | -2.5L36–45 | 50.5 | L36–45 | O | N |
| Sat 11/16 | Iowa State vs Cincinnati | -7.0W34–17 | 52.5 | W34–17 | U | Y |
| Sat 11/23 | Iowa State at Utah | -6.5W31–28 | 42.5 | W31–28 | O | N |
| Sat 11/30 | Iowa State vs Kansas State | -2.5W29–21 | 51.5 | W29–21 | U | Y |
| Sat 12/7 | Iowa State vs Arizona State | -1.5L19–45 | 51.5 | L19–45 | O | N |
| Sat 12/28 | Iowa State vs Miami | +5.0W42–41 | 62.0 | W42–41 | O | Y |
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
→ Iowa State
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?
Iowa State Edge
Iowa State +0.60
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 6 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Texas Tech Edge
Texas Tech +4.4
GC Edge (season-to-date)
Teams with this edge win 58.3% of games historically
Based on 7 games this season
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
Texas Tech
Joey McGuire #1
15–11 (58%)
· Yr 3 at school
OC
Zach Kittley
Yr 3
#1
DC
Tim DeRuyter
Yr 3
#1
Iowa State
Matt Campbell #1
53–48 (53%)
· Yr 9 at school
OC
Taylor Mouser
Yr 1
#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 ✓

