Matchup Prediction
UAB
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
UAB entering this game.
Momentum Control
58.4%
UAB wins
Lean
Game Control
50.6%
UAB wins
Toss-up
Vegas Spread
UAB -8
O/U 61.5
ESPN Bet
Advanced Stats
All 4 factors agree → UAB
· 83.1% ATS historically when all four align
↓ See full breakdown
Temple 2023 Schedule
Temple's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Temple vs Akron | -9.5W24–21 | 55.0 | W24–21 | U | N |
| Sat 9/9 | Temple at Rutgers | +7.5L7–36 | 43.5 | L7–36 | U | N |
| Sat 9/16 | Temple vs Norfolk State | -30.5W41–9 | 55.0 | W41–9 | U | Y |
| Sat 9/23 | Temple vs Miami | +23.0L7–41 | 46.5 | L7–41 | O | N |
| Thu 9/28 | Temple at Tulsa | +3.0L26–48 | 56.0 | L26–48 | O | N |
| Sat 10/7 | Temple vs UTSA | +14.0L34–49 | 56.0 | L34–49 | O | N |
| Sat 10/14 | Temple at North Texas | +8.0L14–45 | 65.5 | L14–45 | U | N |
| Fri 10/20 | Temple vs SMU | +24.0L0–55 | 53.0 | L0–55 | O | N |
| — Bye Week — | ||||||
| Sat 11/4 | Temple vs Navy | +7.0W32–18 | 46.0 | W32–18 | O | Y |
| Sat 11/11 | Temple at South Florida | +7.5L23–27 | 70.5 | L23–27 | U | Y |
| Sat 11/18 | Temple at UAB | +8.0L24–34 | 61.5 | L24–34 | U | N |
| Fri 11/24 | Temple vs Memphis | +13.5L21–45 | 63.5 | L21–45 | O | N |
UAB 2023 Schedule
UAB's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/31 | UAB vs North Carolina A&T | -24.5W35–6 | 46.5 | W35–6 | U | Y |
| Sat 9/9 | UAB at Georgia Southern | +7.0L35–49 | 63.0 | L35–49 | O | N |
| Sat 9/16 | UAB vs Louisiana | -2.0L21–41 | 60.0 | L21–41 | O | N |
| Sat 9/23 | UAB at Georgia | +40.0L21–49 | 56.0 | L21–49 | O | Y |
| Sat 9/30 | UAB at Tulane | +22.5L23–35 | 59.5 | L23–35 | U | Y |
| Sat 10/7 | UAB vs South Florida | +3.5W56–35 | 68.5 | W56–35 | O | Y |
| Sat 10/14 | UAB at UTSA | +9.0L20–41 | 67.0 | L20–41 | U | N |
| Sat 10/21 | UAB vs Memphis | +7.5L21–45 | 61.5 | L21–45 | O | N |
| — Bye Week — | ||||||
| Sat 11/4 | UAB vs Florida Atlantic | -1.0W45–42 | 59.5 | W45–42 | O | Y |
| Sat 11/11 | UAB at Navy | -3.5L6–31 | 52.5 | L6–31 | U | N |
| Sat 11/18 | UAB vs Temple | -8.0W34–24 | 61.5 | W34–24 | U | Y |
| Sat 11/25 | UAB at North Texas | +3.0L42–45 | 72.5 | L42–45 | O | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2023 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ UAB
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ UAB
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ UAB
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 · 2023 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?
UAB Edge
UAB +0.78
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?
UAB Edge
UAB +4.6
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 10 games this season
Actual Result
CSS Battle
UAB
1 — 0 sequences
✓ Predicted correctly
GC Battle
Temple
28.4 — 49.7 GC score
✗ Predicted incorrectly
Game Result
UAB won by 10
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on UAB, but the GC edge is small. When metrics agree but GC is near-neutral, the agreed-upon team has covered only 46.7% of the time historically (n=224) — potentially a fade signal.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Temple
Stan Drayton #1
5–10 (33%)
· Yr 2 at school
OC
Danny Langsdorf
Yr 2
#1
DC
Everett Withers
Yr 1
#1
UAB
Trent Dilfer #1
1–2 (33%)
· Yr 1 at school
OC
Alex Mortensen
Yr 1
#1
DC
Sione Ta'ufo'ou
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: CSS is not a predictive 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: GS is not a predictive 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: CSS is not a predictive 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: GS is not a predictive 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 ✓