Air Force at Baylor Week 3 College Football Matchup Air Force at Baylor Matchup - Week 3
Sat, Sep 14 2024 · Week 3 · 🏟 McLane Stadium Waco, TX · Turf · 45,140 cap
Air Force✈ 673 mi+1 hr TZ
3 31
Final
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📊 Punt & Rally Projection
Air Force
9
BAY -17.5
Baylor
38
P&R Line Baylor -29
P&R Total O/U 46
Confidence 90 High
Vegas Baylor -17.5 · O/U 40.5
Matchup Prediction
Baylor has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor Baylor entering this game.
Momentum Control
71.6%
Baylor wins
Solid
Game Control
58.6%
Baylor wins
Lean
Vegas Spread
Baylor -17.5
O/U 40.5
ESPN Bet
Advanced Stats
All 4 factors agree → Baylor · 83.1% ATS historically when all four align
↓ See full breakdown
Air Force 2024 Schedule
Air Force's 2024 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/31Air Force vs Merrimack-30.5W21–647.5W21–6UN
Sat 9/7Air Force vs San José State-1.5L7–1743.5L7–17UN
Sat 9/14Air Force at Baylor+17.5L3–3140.5L3–31UN
— Bye Week —
Sat 9/28Air Force at Wyoming-4.0L19–3133.5L19–31ON
Sat 10/5Air Force vs Navy+10.0L7–3437.0L7–34ON
Sat 10/12Air Force at New Mexico+7.0L37–5256.0L37–52ON
Sat 10/19Air Force vs Colorado State+6.0L13–2143.5L13–21UN
— Bye Week —
Sat 11/2Air Force at Army+18.0L3–2038.5L3–20UY
Sat 11/9Air Force vs Fresno State+9.5W36–2840.5W36–28OY
Sat 11/16Air Force vs Oregon State+3.0W28–044.5W28–0UY
Sat 11/23Air Force at Nevada+3.0W22–1944.5W22–19UY
Sat 11/30Air Force at San Diego State-6.5W31–2043.5W31–20OY
Baylor 2024 Schedule
Baylor's 2024 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/31Baylor vs Tarleton State-33.5W45–353.5W45–3UY
Sat 9/7Baylor at Utah+14.5L12–2352.5L12–23UY
Sat 9/14Baylor vs Air Force-17.5W31–340.5W31–3UY
Sat 9/21Baylor at Colorado+2.5L31–3852.5L31–38ON
Sat 9/28Baylor vs BYU-3.0L28–3447.0L28–34ON
Sat 10/5Baylor at Iowa State+13.0L21–4345.0L21–43ON
— Bye Week —
Sat 10/19Baylor at Texas Tech+4.5W59–3556.0W59–35OY
Sat 10/26Baylor vs Oklahoma State-7.0W38–2864.5W38–28OY
Sat 11/2Baylor vs TCU-2.5W37–3464.0W37–34OY
— Bye Week —
Sat 11/16Baylor at West Virginia-2.0W49–3560.0W49–35OY
Sat 11/23Baylor at Houston-7.0W20–1051.0W20–10UY
Sat 11/30Baylor vs Kansas+2.5W45–1762.5W45–17UY
Tue 12/31Baylor vs LSU-3.0L31–4462.5L31–44ON
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2024 season
Baylor PPA Edge
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Baylor
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Baylor
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Baylor
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Air Force #103
+0.307
Baylor #29
+0.450
Baylor Edge
PPA Passing
Pass efficiency edge · Strong predictor
Air Force #124
+0.348
Baylor #21
+0.702
Baylor Edge
Havoc Total
Def. disruption rate · Strong predictor
Air Force #86
0.146
Baylor #83
0.151
TFLs, sacks, PBUs, forced fumbles — higher is better
Baylor Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Air Force #56
+7.872
Baylor #30
+8.248
Baylor Edge
Success Rate
Play consistency edge · Solid predictor
Air Force #77
+0.815
Baylor #23
+0.884
Baylor Edge
Field Position
Avg start (lower=better) · Solid predictor
Air Force #78
71.4
Baylor #17
68.5
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Baylor Edge
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
Baylor Rated Higher
Overall Power Rating
Air Force
-5.2
Baylor
3.5
Offense Rating
Air Force
12.5
Baylor
16.6
Defense Rating (lower = better defense)
Air Force
17.7
Baylor
13.1
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Baylor Edge
Avg sequences created per game
Air Force #82
0.00
Baylor #45
1.00
Avg sequences allowed per game (lower is better)
Air Force #69
0.00
Baylor #61
2.00
Baylor +1.00
CSS Edge (season-to-date)
Teams with this edge win 71.6% of games historically
Based on 1 game this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Baylor Edge
Avg GC score per game (offense)
Air Force #1
43.7
Baylor #1
49.8
Avg GC score allowed per game (lower is better)
Air Force #110
48.8
Baylor #48
46.3
Baylor +6.1
GC Edge (season-to-date)
Teams with this edge win 58.6% of games historically
Based on 2 games this season
Actual Result
CSS Battle
Baylor
3 — 0 sequences
✓ Predicted correctly
GC Battle
Baylor
63.7 — 14.0 GC score
✓ Predicted correctly
Game Result
Baylor won by 28
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on Baylor. Teams with this edge profile have covered 50.3% historically — essentially 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
130–82 (61%) · Yr 18 at school
OC Mike Thiessen Yr 3 #1
DC Brian Knorr Yr 3 #1
Staff Rating
0.00 #1
Baylor
Dave Aranda #1
23–25 (48%) · Yr 5 at school
OC Jake Spavital Yr 1 #1
DC Matt Powledge Yr 2 #1
Staff Rating
0.00 #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