Fri, Nov 28 2025
·
Week 14
·
🏟 Canvas Stadium
Fort Collins, CO
·
Turf
·
41,000 cap
Air Force✈ 109 miSame TZ
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Colorado State,
while Game Control favors Air Force.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
58.4%
Colorado State wins
Lean
Game Control
58.3%
Air Force wins
Lean
Vegas Spread
Air Force -2.5
O/U 47.5
ESPN Bet
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
Air Force 2025 Schedule
Air Force's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Air Force vs Bucknell | -31.0W49–13 | 54.5 | W49–13 | O | Y |
| — Bye Week — | ||||||
| Sat 9/13 | Air Force at Utah State | -4.0L30–49 | 51.5 | L30–49 | O | N |
| Sat 9/20 | Air Force vs Boise State | +10.5L37–49 | 51.5 | L37–49 | O | N |
| Sat 9/27 | Air Force vs Hawai'i | -7.0L35–44 | 52.5 | L35–44 | O | N |
| Sat 10/4 | Air Force at Navy | +13.5L31–34 | 50.5 | L31–34 | O | Y |
| Sat 10/11 | Air Force at UNLV | +7.0L48–51 | 65.5 | L48–51 | O | Y |
| Sat 10/18 | Air Force vs Wyoming | -4.0W24–21 | 56.5 | W24–21 | U | N |
| — Bye Week — | ||||||
| Sat 11/1 | Air Force vs Army | +1.5L17–20 | 48.5 | L17–20 | U | N |
| Sat 11/8 | Air Force at San José State | +6.0W26–16 | 67.5 | W26–16 | U | Y |
| Sat 11/15 | Air Force at UConn | +7.5L16–26 | 64.5 | L16–26 | U | N |
| Sat 11/22 | Air Force vs New Mexico | +3.5L3–20 | 53.5 | L3–20 | U | N |
| Fri 11/28 | Air Force at Colorado State | -2.5W42–21 | 47.5 | W42–21 | O | Y |
Colorado State 2025 Schedule
Colorado State's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Colorado State at Washington | +20.5L21–38 | 52.5 | L21–38 | O | Y |
| Sat 9/6 | Colorado State vs Northern Colorado | -35.0W21–17 | 52.5 | W21–17 | U | N |
| — Bye Week — | ||||||
| Sat 9/20 | Colorado State vs UTSA | +4.5L16–17 | 58.5 | L16–17 | U | Y |
| Sat 9/27 | Colorado State vs Washington State | -4.5L3–20 | 48.5 | L3–20 | U | N |
| Fri 10/3 | Colorado State at San Diego State | +4.5L24–45 | 40.5 | L24–45 | O | N |
| Fri 10/10 | Colorado State vs Fresno State | +5.5W49–21 | 47.5 | W49–21 | O | Y |
| Sat 10/18 | Colorado State vs Hawai'i | -2.5L19–31 | 53.5 | L19–31 | U | N |
| Sat 10/25 | Colorado State at Wyoming | +5.5L0–28 | 46.5 | L0–28 | U | N |
| — Bye Week — | ||||||
| Sat 11/8 | Colorado State vs UNLV | +5.5L10–42 | 60.5 | L10–42 | U | N |
| Sat 11/15 | Colorado State at New Mexico | +15.5L17–20 | 53.5 | L17–20 | U | Y |
| Sat 11/22 | Colorado State at Boise State | +17.5L21–49 | 46.5 | L21–49 | O | N |
| Fri 11/28 | Colorado State vs Air Force | +2.5L21–42 | 47.5 | L21–42 | O | 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
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 · 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?
Colorado State Edge
Colorado State +0.10
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 10 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Air Force Edge
Air Force +10.7
GC Edge (season-to-date)
Teams with this edge win 58.3% of games historically
Based on 11 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
Air Force
Troy Calhoun #1
135–89 (60%)
· Yr 19 at school
OC
Mike Thiessen
Yr 3
#1
DC
Brian Knorr
Yr 3
#1
Colorado State
Jay Norvell #1
16–20 (44%)
· Yr 4 at school
OC
Matt Mumme
Yr 3
#1
DC
Tyson Summers
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 ✓