Duke at Tulane Week 3 College Football Matchup Duke at Tulane Matchup - Week 3
Sat, Sep 13 2025 · Week 3 · 🏟 Benson Field at Yulman Stadium New Orleans, LA · Turf · 30,000 cap
Duke✈ 770 mi-1 hr TZ
Away
27 34
Final
Home
📊 Punt & Rally Projection
Duke
28
Tulane
27
P&R Line Duke -1.5
P&R Total O/U 55
Confidence 75 Good
Vegas Tulane -1.5 · O/U 52.5
Matchup Prediction
Tulane has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor Tulane entering this game.
Momentum Control
78.1%
Tulane wins
Strong
Game Control
76%
Tulane wins
Strong
Vegas Spread
Tulane -1.5
O/U 52.5
DraftKings
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
Duke 2025 Schedule
Duke's 2025 Schedule
DateMatchupSpreadTotalResultO/UCover
Thu 8/28Duke vs Elon-36.5W45–1751.5W45–17ON
Sat 9/6Duke vs Illinois+2.5L19–4549.0L19–45ON
Sat 9/13Duke at Tulane+1.5L27–3452.5L27–34ON
Sat 9/20Duke vs NC State-3.0W45–3357.5W45–33OY
Sat 9/27Duke at Syracuse-4.0W38–359.5W38–3UY
Sat 10/4Duke at California-3.5W45–2154.5W45–21OY
— Bye Week —
Sat 10/18Duke vs Georgia Tech-3.5L18–2760.5L18–27UN
— Bye Week —
Sat 11/1Duke at Clemson+4.5W46–4555.5W46–45OY
Sat 11/8Duke at UConn-7.5L34–3763.5L34–37ON
Sat 11/15Duke vs Virginia-5.5L17–3459.5L17–34UN
Sat 11/22Duke at North Carolina-6.5W32–2550.5W32–25OY
Sat 11/29Duke vs Wake Forest-2.5W49–3254.0W49–32OY
Sat 12/6Duke vs Virginia+3.5W27–2058.5W27–20UY
Wed 12/31Duke vs Arizona State-4.0W42–3949.5W42–39ON
Tulane 2025 Schedule
Tulane's 2025 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/30Tulane vs Northwestern-6.5W23–347.5W23–3UY
Sat 9/6Tulane at South Alabama-13.5W33–3151.5W33–31ON
Sat 9/13Tulane vs Duke-1.5W34–2752.5W34–27OY
Sat 9/20Tulane at Ole Miss+12.5L10–4561.5L10–45UN
Sat 9/27Tulane at Tulsa-14.5W31–1452.5W31–14UY
— Bye Week —
Thu 10/9Tulane vs East Carolina-7.0W26–1953.5W26–19UN
Sat 10/18Tulane vs Army-10.0W24–1744.5W24–17UN
— Bye Week —
Thu 10/30Tulane at UTSA-5.5L26–4854.5L26–48ON
Fri 11/7Tulane at Memphis+3.0W38–3253.5W38–32OY
Sat 11/15Tulane vs Florida Atlantic-16.5W35–2460.5W35–24UN
Sat 11/22Tulane at Temple-7.5W37–1354.5W37–13UY
Sat 11/29Tulane vs Charlotte-31.5W27–052.5W27–0UN
Fri 12/5Tulane vs North Texas+1.5W34–2166.5W34–21UY
Sat 12/20Tulane at Ole Miss+17.5L10–4157.5L10–41UN
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2025 season
Tulane 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
Split
Metrics disagree
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Duke #25
+0.402
Tulane #33
+0.453
Tulane Edge
PPA Passing
Pass efficiency edge · Strong predictor
Duke #24
+0.647
Tulane #27
+0.787
Tulane Edge
Havoc Total
Def. disruption rate · Strong predictor
Duke #36
0.172
Tulane #52
0.165
TFLs, sacks, PBUs, forced fumbles — higher is better
Duke Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Duke #26
+7.967
Tulane #54
+8.268
Tulane Edge
Success Rate
Play consistency edge · Solid predictor
Duke #30
+0.911
Tulane #34
+0.893
Duke Edge
Field Position
Avg start (lower=better) · Solid predictor
Duke #20
68.7
Tulane #2
65.5
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Tulane Edge
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
Duke Rated Higher
Overall Power Rating
Duke
4.1
Tulane
0.9
Offense Rating
Duke
14.3
Tulane
14.5
Defense Rating (lower = better defense)
Duke
10.2
Tulane
13.6
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Tulane Edge
Avg sequences created per game
Duke #47
0.00
Tulane #33
3.00
Avg sequences allowed per game (lower is better)
Duke #95
3.00
Tulane #122
0.50
Tulane +3.00
CSS Edge (season-to-date)
Teams with this edge win 78.1% of games historically
Based on 2 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Tulane Edge
Avg GC score per game (offense)
Duke #1
54.1
Tulane #1
84.8
Avg GC score allowed per game (lower is better)
Duke #60
31.0
Tulane #24
7.6
Tulane +30.7
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2 games this season
Actual Result
CSS Battle
Tulane
3 — 1 sequences
✓ Predicted correctly
GC Battle
Tulane
93.1 — 4.3 GC score
✓ Predicted correctly
Game Result
Tulane 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 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
Duke
Manny Diaz #1
9–3 (75%) · Yr 2 at school
OC Jonathan Brewer Yr 2 #1
DC Jonathan Patke Yr 2 #1
Staff Rating
0.00 #1
Tulane
Jon Sumrall #1
9–4 (69%) · Yr 2 at school
OC Joe Craddock Yr 2 #1
DC Greg Gasparato Yr 2 #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