UTSA at Army Week 14 College Football Matchup UTSA at Army Matchup - Week 14
Sat, Nov 30 2024 · Week 14 · 🏟 Blaik Field at Michie Stadium West Point, NY · Turf · 38,000 cap
UTSA✈ 1,600 mi+1 hr TZ
Away
24 29
Final
Home
📊 Punt & Rally Projection
UTSA
22
Army
33
P&R Line Army -11
P&R Total O/U 54.5
Confidence 86 High
Vegas Army -6.5 · O/U 53.5
Matchup Prediction
Army has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor Army entering this game.
Momentum Control
58.4%
Army wins
Lean
Game Control
76%
Army wins
Strong
Vegas Spread
Army -6.5
O/U 53.5
ESPN Bet
Advanced Stats
PPA + Success Rate agree → Army · 73.9% ATS historically
↓ See full breakdown
UTSA 2024 Schedule
UTSA's 2024 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/31UTSA vs Kennesaw State-24.0W28–1649.5W28–16UN
Sat 9/7UTSA at Texas State+2.5L10–4958.5L10–49ON
Sat 9/14UTSA at Texas+36.5L7–5656.5L7–56ON
Sat 9/21UTSA vs Houston Christian-35.5W45–754.5W45–7UY
Sat 9/28UTSA at East Carolina+2.0L20–3053.5L20–30UN
— Bye Week —
Sat 10/12UTSA at Rice-3.5L27–2951.0L27–29ON
Sat 10/19UTSA vs Florida Atlantic-4.0W38–2452.5W38–24OY
Sat 10/26UTSA at Tulsa-9.5L45–4652.5L45–46ON
Sat 11/2UTSA vs Memphis+7.0W44–3662.0W44–36OY
— Bye Week —
Fri 11/15UTSA vs North Texas-1.0W48–2773.0W48–27OY
Fri 11/22UTSA vs Temple-16.5W51–2756.0W51–27OY
Sat 11/30UTSA at Army+6.5L24–2953.5L24–29UY
Mon 12/23UTSA vs Coastal Carolina-12.5W44–1556.5W44–15OY
Army 2024 Schedule
Army's 2024 Schedule
DateMatchupSpreadTotalResultO/UCover
Fri 8/30Army vs Lehigh-28
Sat 9/7Army at Florida Atlantic+1.5W24–742.5W24–7UY
— Bye Week —
Sat 9/21Army vs Rice-7.0W37–1444.0W37–14OY
Thu 9/26Army at Temple-11.0W42–1446.5W42–14OY
Sat 10/5Army at Tulsa-13.5W49–750.5W49–7OY
Sat 10/12Army vs UAB-27.0W44–1055.5W44–10UY
Sat 10/19Army vs East Carolina-17.5W45–2854.0W45–28ON
— Bye Week —
Sat 11/2Army vs Air Force-18.0W20–338.5W20–3UN
Sat 11/9Army at North Texas-6.5W14–368.0W14–3UY
— Bye Week —
Sat 11/23Army vs Notre Dame+14.5L14–4944.5L14–49ON
Sat 11/30Army vs UTSA-6.5W29–2453.5W29–24UN
Fri 12/6Army vs Tulane+4.5W35–1446.5W35–14OY
Sat 12/14Army vs Navy-6.039.5
Sat 12/28Army vs Louisiana Tech-15.0W27–644.5W27–6UY
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2024 season
Army PPA Edge
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
→ Army
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
UTSA #61
+0.322
Army #10
+0.446
Army Edge
PPA Passing
Pass efficiency edge · Strong predictor
UTSA #52
+0.442
Army #8
+0.700
Army Edge
Havoc Total
Def. disruption rate · Strong predictor
UTSA #3
0.217
Army #100
0.143
TFLs, sacks, PBUs, forced fumbles — higher is better
UTSA Edge
Points Per Opp
Drive-finishing edge · Strong predictor
UTSA #94
+6.198
Army #19
+8.254
Army Edge
Success Rate
Play consistency edge · Solid predictor
UTSA #100
+0.835
Army #6
+0.850
Army Edge
Field Position
Avg start (lower=better) · Solid predictor
UTSA #37
69.6
Army #63
70.6
Avg yards from own endzone to average start — lower is better · longer bar = better field position
UTSA 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
UTSA Rated Higher
Overall Power Rating
UTSA
0.7
Army
-1.1
Offense Rating
UTSA
16.4
Army
14.9
Defense Rating (lower = better defense)
UTSA
15.7
Army
16.0
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Army Edge
Avg sequences created per game
UTSA #44
1.40
Army #50
1.44
Avg sequences allowed per game (lower is better)
UTSA #74
0.80
Army #70
0.56
Army +0.04
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 9 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Army Edge
Avg GC score per game (offense)
UTSA #1
53.4
Army #1
73.6
Avg GC score allowed per game (lower is better)
UTSA #64
32.1
Army #6
15.9
Army +20.1
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 10 games this season
Actual Result
CSS Battle
Army
2 — 0 sequences
✓ Predicted correctly
GC Battle
Army
37.3 — 23.5 GC score
✓ Predicted correctly
Game Result
Army won by 5
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on Army 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
UTSA
Jeff Traylor #1
39–14 (74%) · Yr 5 at school
OC Justin Burke Yr 2 #1
DC Jess Loepp Yr 3 #1
Staff Rating
0.00 #1
Army
Jeff Monken #1
70–55 (56%) · Yr 11 at school
OC Cody Worley Yr 1 #1
DC Nate Woody Yr 3 #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