Tulane at Rice Week 9 College Football Matchup Tulane at Rice Matchup - Week 9
Sat, Oct 28 2023 · Week 9 · 🏟 Rice Stadium Houston, TX · Turf · 47,000 cap
Tulane✈ 317 miSame TZ
Away
30 28
Final
Home
📊 Punt & Rally Projection
Tulane
29
Rice
25
P&R Line Tulane -4
P&R Total O/U 53
Confidence 86 High
Vegas Tulane -10 · O/U 55.0
Matchup Prediction
Tulane has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor Tulane entering this game.
Momentum Control
61.3%
Tulane wins
Lean
Game Control
64.9%
Tulane wins
Lean
Vegas Spread
Tulane -10
O/U 55.0
William Hill (New Jersey)
Advanced Stats
PPA + Success Rate agree → Rice · 73.9% ATS historically
↓ See full breakdown
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
Rice 2023 Schedule
Rice's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/2Rice at Texas+35.5L10–3759.0L10–37UY
Sat 9/9Rice vs Houston+7.5W43–4151.0W43–41OY
Sat 9/16Rice vs Texas Southern-35.5W59–760.0W59–7OY
Sat 9/23Rice at South Florida-2.5L29–4256.5L29–42ON
Sat 9/30Rice vs East Carolina-3.5W24–1747.0W24–17UY
Sat 10/7Rice vs UConn-10.0L31–3847.5L31–38ON
— Bye Week —
Thu 10/19Rice at Tulsa+3.0W42–1056.5W42–10UY
Sat 10/28Rice vs Tulane+10.0L28–3055.0L28–30OY
Sat 11/4Rice vs SMU+12.0L31–3659.5L31–36OY
Sat 11/11Rice at UTSA+13.5L14–3453.5L14–34UN
Sat 11/18Rice at Charlotte+0.5W28–746.5W28–7UY
Sat 11/25Rice vs Florida Atlantic-5.0W24–2146.5W24–21UN
Tue 12/26Rice vs Texas State+3.5L21–4558.5L21–45ON
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2023 season
Rice 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
Both Agree
→ Rice
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Tulane #70
+0.358
Rice #52
+0.380
Rice Edge
PPA Passing
Pass efficiency edge · Strong predictor
Tulane #40
+0.558
Rice #45
+0.585
Rice Edge
Havoc Total
Def. disruption rate · Strong predictor
Tulane #29
0.181
Rice #126
0.123
TFLs, sacks, PBUs, forced fumbles — higher is better
Tulane Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Tulane #91
+7.230
Rice #9
+8.514
Rice Edge
Success Rate
Play consistency edge · Solid predictor
Tulane #61
+0.836
Rice #49
+0.848
Rice Edge
Field Position
Avg start (lower=better) · Solid predictor
Tulane #6
66.3
Rice #94
71.3
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
Tulane
0.9
Rice
-17.1
Offense Rating
Tulane
14.5
Rice
6.4
Defense Rating (lower = better defense)
Tulane
13.6
Rice
23.5
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
Tulane #32
1.00
Rice #101
0.83
Avg sequences allowed per game (lower is better)
Tulane #45
1.00
Rice #61
1.17
Tulane +0.17
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 6 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Tulane Edge
Avg GC score per game (offense)
Tulane #1
68.6
Rice #1
54.2
Avg GC score allowed per game (lower is better)
Tulane #15
17.6
Rice #82
32.0
Tulane +14.4
GC Edge (season-to-date)
Teams with this edge win 64.9% of games historically
Based on 7 games this season
Actual Result
CSS Battle
Tulane
1 — 2 sequences
✓ Predicted correctly
GC Battle
Tulane
9.1 — 83.1 GC score
✓ Predicted correctly
Game Result
Tulane won by 2
✓ 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
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
Rice
Mike Bloomgren #1
18–40 (31%) · Yr 6 at school
OC Marques Tuiasosopo Yr 3 #1
DC Brian Smith Yr 3 #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