Matchup Prediction
Tulane
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Tulane entering this game.
Momentum Control
73.7%
Tulane wins
Solid
Game Control
75.9%
Tulane wins
Solid
Vegas Spread
Tulane -19.5
O/U 52.0
DraftKings
Advanced Stats
All 4 factors agree → Tulane
· 83.1% ATS historically when all four align
↓ See full breakdown
Tulane 2024 Schedule
Tulane's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/29 | Tulane vs SE Louisiana | -28.5W52–0 | 55.5 | W52–0 | U | Y |
| Sat 9/7 | Tulane vs Kansas State | +8.5L27–34 | 47.5 | L27–34 | O | Y |
| Sat 9/14 | Tulane at Oklahoma | +13.5L19–34 | 48.5 | L19–34 | O | N |
| Sat 9/21 | Tulane at Louisiana | -1.5W41–33 | 53.5 | W41–33 | O | Y |
| Sat 9/28 | Tulane vs South Florida | -4.0W45–10 | 60.5 | W45–10 | U | Y |
| Sat 10/5 | Tulane at UAB | -19.5W71–20 | 52.0 | W71–20 | O | Y |
| — Bye Week — | ||||||
| Sat 10/19 | Tulane vs Rice | -21.5W24–10 | 53.5 | W24–10 | U | N |
| Sat 10/26 | Tulane at North Texas | -7.5W45–37 | 70.5 | W45–37 | O | Y |
| Thu 10/31 | Tulane at Charlotte | -14.5W34–3 | 55.5 | W34–3 | U | Y |
| Sat 11/9 | Tulane vs Temple | -25.5W52–6 | 50.5 | W52–6 | O | Y |
| Sat 11/16 | Tulane at Navy | -7.5W35–0 | 49.0 | W35–0 | U | Y |
| — Bye Week — | ||||||
| Thu 11/28 | Tulane vs Memphis | -12.5L24–34 | 54.5 | L24–34 | O | N |
| Fri 12/6 | Tulane at Army | -4.5L14–35 | 46.5 | L14–35 | O | N |
| Fri 12/20 | Tulane vs Florida | +10.0L8–33 | 50.5 | L8–33 | U | N |
UAB 2024 Schedule
UAB's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/29 | UAB vs Alcorn State | -29.5W41–3 | 55.5 | W41–3 | U | Y |
| Sat 9/7 | UAB at UL Monroe | -10.5L6–32 | 55.5 | L6–32 | U | N |
| Sat 9/14 | UAB at Arkansas | +23.5L27–37 | 60.5 | L27–37 | O | Y |
| — Bye Week — | ||||||
| Sat 9/28 | UAB vs Navy | +4.5L18–41 | 56.5 | L18–41 | O | N |
| Sat 10/5 | UAB vs Tulane | +19.5L20–71 | 52.0 | L20–71 | O | N |
| Sat 10/12 | UAB at Army | +27.0L10–44 | 55.5 | L10–44 | U | N |
| Sat 10/19 | UAB at South Florida | +14.0L25–35 | 55.5 | L25–35 | O | Y |
| — Bye Week — | ||||||
| Sat 11/2 | UAB vs Tulsa | -2.5W59–21 | 57.5 | W59–21 | O | Y |
| Sat 11/9 | UAB vs UConn | +7.5L23–31 | 54.0 | L23–31 | U | N |
| Sat 11/16 | UAB at Memphis | +16.0L18–53 | 62.0 | L18–53 | O | N |
| Sat 11/23 | UAB vs Rice | +7.0W40–14 | 52.0 | W40–14 | O | Y |
| Sat 11/30 | UAB at Charlotte | +1.5L27–29 | 59.5 | L27–29 | U | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2024 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Tulane
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Tulane
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Tulane
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 · 2024 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?
Tulane Edge
Tulane +1.17
CSS Edge (season-to-date)
Teams with this edge win 73.7% of games historically
Based on 3 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Tulane Edge
Tulane +20.4
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 4 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Tulane 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
Tulane
Jon Sumrall #1
0–0 (0%)
· Yr 1 at school
OC
Joe Craddock
Yr 1
#1
DC
Greg Gasparato
Yr 1
#1
UAB
Trent Dilfer #1
4–8 (33%)
· Yr 2 at school
OC
Alex Mortensen
Yr 2
#1
DC
Sione Ta'ufo'ou
Yr 2
#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 ✓