UTSA at Tulane Week 13 College Football Matchup UTSA at Tulane Matchup - Week 13
Fri, Nov 24 2023 · Week 13 · 🏟 Benson Field at Yulman Stadium New Orleans, LA · Turf · 30,000 cap
UTSA✈ 503 miSame TZ
Away
16 29
Final
Home
📊 Punt & Rally Projection
UTSA
25
Tulane
27
P&R Line Tulane -2.5
P&R Total O/U 52
Confidence 90 High
Vegas Tulane -2.5 · O/U 51.5
Matchup Prediction
Tulane has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor Tulane entering this game.
Momentum Control
58.4%
Tulane wins
Lean
Game Control
67.1%
Tulane wins
Solid
Vegas Spread
Tulane -2.5
O/U 51.5
DraftKings
Advanced Stats
All 4 factors agree → UTSA · 83.1% ATS historically when all four align
↓ See full breakdown
UTSA 2023 Schedule
UTSA's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/2UTSA at Houston-2.5L14–1759.5L14–17UN
Sat 9/9UTSA vs Texas State-13.5W20–1366.5W20–13UN
Fri 9/15UTSA vs Army-7.0L29–3742.0L29–37ON
Sat 9/23UTSA at Tennessee+24.0L14–4559.0L14–45UN
— Bye Week —
Sat 10/7UTSA at Temple-14.0W49–3456.0W49–34OY
Sat 10/14UTSA vs UAB-9.0W41–2067.0W41–20UY
Sat 10/21UTSA at Florida Atlantic-2.5W36–1058.5W36–10UY
Sat 10/28UTSA vs East Carolina-17.5W41–2748.0W41–27ON
Sat 11/4UTSA at North Texas-7.5W37–2971.0W37–29UY
Sat 11/11UTSA vs Rice-13.5W34–1453.5W34–14UY
Fri 11/17UTSA vs South Florida-14.5W49–2165.5W49–21OY
Fri 11/24UTSA at Tulane+2.5L16–2951.5L16–29UN
Tue 12/19UTSA vs Marshall-7.0W35–1747.0W35–17OY
Tulane 2023 Schedule
Tulane's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/2Tulane vs South Alabama-6.0W37–1751.0W37–17OY
Sat 9/9Tulane vs Ole Miss+8.0L20–3764.0L20–37UN
Sat 9/16Tulane at Southern Miss-8.0W21–347.5W21–3UY
Sat 9/23Tulane vs Nicholls-38.0W36–755.5W36–7UN
Sat 9/30Tulane vs UAB-22.5W35–2359.5W35–23UN
— Bye Week —
Fri 10/13Tulane at Memphis-4.5W31–2154.5W31–21UY
Sat 10/21Tulane vs North Texas-20.0W35–2863.5W35–28UN
Sat 10/28Tulane at Rice-10.0W30–2855.0W30–28ON
Sat 11/4Tulane at East Carolina-17.0W13–1046.0W13–10UN
Sat 11/11Tulane vs Tulsa-24.5W24–2252.5W24–22UN
Sat 11/18Tulane at Florida Atlantic-9.5W24–846.5W24–8UY
Fri 11/24Tulane vs UTSA-2.5W29–1651.5W29–16UY
Sat 12/2Tulane vs SMU-4.0L14–2650.5L14–26UN
Wed 12/27Tulane vs Virginia Tech+13.5L20–4143.5L20–41ON
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2023 season
UTSA PPA Edge
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ UTSA
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ UTSA
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ UTSA
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
UTSA #45
+0.393
Tulane #70
+0.326
UTSA Edge
PPA Passing
Pass efficiency edge · Strong predictor
UTSA #58
+0.560
Tulane #40
+0.579
Tulane Edge
Havoc Total
Def. disruption rate · Strong predictor
UTSA #10
0.203
Tulane #29
0.181
TFLs, sacks, PBUs, forced fumbles — higher is better
UTSA Edge
Points Per Opp
Drive-finishing edge · Strong predictor
UTSA #24
+8.157
Tulane #91
+7.389
UTSA Edge
Success Rate
Play consistency edge · Solid predictor
UTSA #66
+0.832
Tulane #61
+0.798
UTSA Edge
Field Position
Avg start (lower=better) · Solid predictor
UTSA #85
71.0
Tulane #6
66.3
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Tulane Edge
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
Tulane Rated Higher
Overall Power Rating
UTSA
0.7
Tulane
0.9
Offense Rating
UTSA
16.4
Tulane
14.5
Defense Rating (lower = better defense)
UTSA
15.7
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
UTSA #59
0.91
Tulane #32
1.10
Avg sequences allowed per game (lower is better)
UTSA #74
0.55
Tulane #45
1.00
Tulane +0.19
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 10 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Tulane Edge
Avg GC score per game (offense)
UTSA #1
55.5
Tulane #1
68.8
Avg GC score allowed per game (lower is better)
UTSA #38
29.2
Tulane #15
16.8
Tulane +13.3
GC Edge (season-to-date)
Teams with this edge win 67.1% of games historically
Based on 11 games this season
Actual Result
CSS Battle
Tulane
3 — 0 sequences
✓ Predicted correctly
GC Battle
Tulane
64.6 — 11.5 GC score
✓ Predicted correctly
Game Result
Tulane won by 13
✓ 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 solid GC edge. Teams with this profile have covered 53.0% of the time historically (n=330) — a mild lean.

ATS data is informational only. Past cover rates do not guarantee future results.

Coaching Matchup
UTSA
Jeff Traylor #1
31–12 (72%) · Yr 4 at school
OC Justin Burke Yr 1 #1
DC Jess Loepp Yr 2 #1
Staff Rating
0.00 #1
Tulane
Willie Fritz #1
45–46 (50%) · Yr 8 at school
OC Slade Nagle Yr 1 #1
DC Shiel Wood Yr 1 #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