Matchup Prediction
UAB
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
UAB entering this game.
Momentum Control
73.7%
UAB wins
Solid
Game Control
75.9%
UAB wins
Solid
Vegas Spread
Tulane -2.5
O/U 55.0
teamrankings
Advanced Stats
All 4 factors agree → UAB
· 83.1% ATS historically when all four align
↓ See full breakdown
UAB 2021 Schedule
UAB's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Wed 9/1 | UAB vs Jacksonville State | -16.5W31–0 | 52.0 | W31–0 | U | Y |
| Sat 9/11 | UAB at Georgia | +22.5L7–56 | 44.0 | L7–56 | O | N |
| Sat 9/18 | UAB at North Texas | -12.5W40–6 | 58.5 | W40–6 | U | Y |
| Sat 9/25 | UAB at Tulane | +2.5W28–21 | 55.0 | W28–21 | U | Y |
| Sat 10/2 | UAB vs Liberty | -3.0L12–36 | 49.0 | L12–36 | U | N |
| Sat 10/9 | UAB vs Florida Atlantic | -3.5W31–14 | 48.5 | W31–14 | U | Y |
| Sat 10/16 | UAB at Southern Miss | -17.0W34–0 | 43.0 | W34–0 | U | Y |
| Sat 10/23 | UAB vs Rice | -23.5L24–30 | 44.5 | L24–30 | O | N |
| — Bye Week — | ||||||
| Sat 11/6 | UAB vs Louisiana Tech | -14.0W52–38 | 49.5 | W52–38 | O | N |
| Sat 11/13 | UAB at Marshall | +4.5W21–14 | 55.5 | W21–14 | U | Y |
| Sat 11/20 | UAB at UTSA | +3.5L31–34 | 54.0 | L31–34 | O | Y |
| Fri 11/26 | UAB vs UTEP | -13.5W42–25 | 49.5 | W42–25 | O | Y |
| Sat 12/18 | UAB vs BYU | +7.0W31–28 | 54.5 | W31–28 | O | Y |
Tulane 2021 Schedule
Tulane's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | Tulane at Oklahoma | +31.0L35–40 | 66.5 | L35–40 | O | Y |
| Sat 9/11 | Tulane vs Morgan State | -47.5W69–20 | 58.0 | W69–20 | O | Y |
| Sat 9/18 | Tulane at Ole Miss | +14.0L21–61 | 77.0 | L21–61 | O | N |
| Sat 9/25 | Tulane vs UAB | -2.5L21–28 | 55.0 | L21–28 | U | N |
| Sat 10/2 | Tulane at East Carolina | -3.0L29–52 | 65.0 | L29–52 | O | N |
| Thu 10/7 | Tulane vs Houston | +6.5L22–40 | 60.0 | L22–40 | O | N |
| — Bye Week — | ||||||
| Thu 10/21 | Tulane at SMU | +14.0L26–55 | 70.5 | L26–55 | O | N |
| Sat 10/30 | Tulane vs Cincinnati | +27.5L12–31 | 61.5 | L12–31 | U | Y |
| Sat 11/6 | Tulane at UCF | +13.5L10–14 | 57.0 | L10–14 | U | Y |
| Sat 11/13 | Tulane vs Tulsa | +3.0L13–20 | 55.5 | L13–20 | U | N |
| Sat 11/20 | Tulane vs South Florida | -5.5W45–14 | 59.5 | W45–14 | U | Y |
| Sat 11/27 | Tulane at Memphis | +5.5L28–33 | 58.0 | L28–33 | O | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2021 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 · 2021 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 +1.17
CSS Edge (season-to-date)
Teams with this edge win 73.7% of games historically
Based on 2 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
UAB Edge
UAB +27.5
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 3 games this season
Actual Result
CSS Battle
Tie
1 — 1 sequences
✗ Predicted incorrectly
GC Battle
UAB
7.8 — 86.3 GC score
✓ Predicted correctly
Game Result
UAB won by 7
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on UAB 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
UAB
Bill Clark #1
42–23 (65%)
· Yr 8 at school
OC
Bryant Vincent
Yr 1
#1
DC
David Reeves
Yr 1
#1
Tulane
Willie Fritz #1
30–35 (46%)
· Yr 6 at school
OC
Chip Long
Yr 1
#1
DC
Chris Hampton
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 ✓