Sat, Nov 22 2025
·
Week 13
·
🏟 Alamodome
San Antonio, TX
·
Turf
·
65,000 cap
East Carolina✈ 1,299 mi-1 hr TZ
Matchup Prediction
East Carolina
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
East Carolina entering this game.
Momentum Control
61.3%
East Carolina wins
Lean
Game Control
58.3%
East Carolina wins
Lean
Vegas Spread
East Carolina -2.0
O/U 62.5
Bovada
Advanced Stats
All 4 factors agree → East Carolina
· 83.1% ATS historically when all four align
↓ See full breakdown
East Carolina 2025 Schedule
East Carolina's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/28 | East Carolina at NC State | +12.5L17–24 | 58.5 | L17–24 | U | Y |
| Sat 9/6 | East Carolina vs Campbell | -30.0W56–3 | 56.0 | W56–3 | O | Y |
| Sat 9/13 | East Carolina at Coastal Carolina | -7.0W38–0 | 58.0 | W38–0 | U | Y |
| Sat 9/20 | East Carolina vs BYU | +6.5L13–34 | 49.5 | L13–34 | U | N |
| Thu 9/25 | East Carolina vs Army | -3.5W28–6 | 52.5 | W28–6 | U | Y |
| — Bye Week — | ||||||
| Thu 10/9 | East Carolina at Tulane | +7.0L19–26 | 53.5 | L19–26 | U | Y |
| Thu 10/16 | East Carolina vs Tulsa | -16.5W41–27 | 54.5 | W41–27 | O | N |
| — Bye Week — | ||||||
| Sat 11/1 | East Carolina at Temple | -5.5W45–14 | 58.5 | W45–14 | O | Y |
| Sat 11/8 | East Carolina vs Charlotte | -29.5W48–22 | 56.5 | W48–22 | O | N |
| Sat 11/15 | East Carolina vs Memphis | -3.0W31–27 | 56.5 | W31–27 | O | Y |
| Sat 11/22 | East Carolina at UTSA | -2.0L24–58 | 62.5 | L24–58 | O | N |
| Sat 11/29 | East Carolina at Florida Atlantic | -6.5W42–3 | 66.5 | W42–3 | U | Y |
| Sat 12/27 | East Carolina vs Pittsburgh | +13.5W23–17 | 51.5 | W23–17 | U | Y |
UTSA 2025 Schedule
UTSA's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | UTSA at Texas A&M | +21.5L24–42 | 56.5 | L24–42 | O | Y |
| Sat 9/6 | UTSA vs Texas State | -4.5L36–43 | 64.5 | L36–43 | O | N |
| Sat 9/13 | UTSA vs Incarnate Word | -21.0W48–20 | 62.5 | W48–20 | O | Y |
| Sat 9/20 | UTSA at Colorado State | -4.5W17–16 | 58.5 | W17–16 | U | N |
| — Bye Week — | ||||||
| Sat 10/4 | UTSA at Temple | -6.5L21–27 | 58.5 | L21–27 | U | N |
| Sat 10/11 | UTSA vs Rice | -8.5W61–13 | 48.5 | W61–13 | O | Y |
| Sat 10/18 | UTSA at North Texas | +4.0L17–55 | 64.5 | L17–55 | O | N |
| — Bye Week — | ||||||
| Thu 10/30 | UTSA vs Tulane | +5.5W48–26 | 54.5 | W48–26 | O | Y |
| Thu 11/6 | UTSA at South Florida | +14.0L23–55 | 66.5 | L23–55 | O | N |
| Sat 11/15 | UTSA at Charlotte | -16.5W28–7 | 57.5 | W28–7 | U | Y |
| Sat 11/22 | UTSA vs East Carolina | +2.0W58–24 | 62.5 | W58–24 | O | Y |
| Sat 11/29 | UTSA vs Army | -8.5L24–27 | 50.5 | L24–27 | O | N |
| Fri 12/26 | UTSA vs Florida International | -7.0W57–20 | 62.5 | W57–20 | O | Y |
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
All 4 Agree
→ East Carolina
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ East Carolina
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ East Carolina
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?
East Carolina Edge
East Carolina +0.44
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 9 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
East Carolina Edge
East Carolina +9.3
GC Edge (season-to-date)
Teams with this edge win 58.3% of games historically
Based on 10 games this season
Actual Result
CSS Battle
UTSA
5 — 1 sequences
✗ Predicted incorrectly
GC Battle
UTSA
93.6 — 2.8 GC score
✗ Predicted incorrectly
Game Result
UTSA won by 34
✗ Model missed it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on East Carolina. 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
East Carolina
Blake Harrell #1
4–1 (80%)
· Yr 2 at school
OC
John David Baker
Yr 2
#1
DC
Josh Aldridge
Yr 1
#1
UTSA
Jeff Traylor #1
45–20 (69%)
· Yr 6 at school
OC
Justin Burke
Yr 3
#1
DC
Jess Loepp
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 ✓

