Matchup Prediction
Toss-up — no clear edge
Neither metric shows a meaningful pre-game edge in this matchup.
Momentum Control
58.4%
—
Lean
Game Control
58.3%
Ole Miss wins
Lean
Vegas Spread
Ole Miss -8
O/U 64.0
William Hill (New Jersey)
Advanced Stats
PPA + Success Rate agree → Ole Miss
· 73.9% ATS historically
↓ See full breakdown
Ole Miss 2023 Schedule
Ole Miss's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Ole Miss vs Mercer | -35.0W73–7 | 59.5 | W73–7 | O | Y |
| Sat 9/9 | Ole Miss at Tulane | -8.0W37–20 | 64.0 | W37–20 | U | Y |
| Sat 9/16 | Ole Miss vs Georgia Tech | -17.0W48–23 | 61.5 | W48–23 | O | Y |
| Sat 9/23 | Ole Miss at Alabama | +7.0L10–24 | 56.0 | L10–24 | U | N |
| Sat 9/30 | Ole Miss vs LSU | +3.0W55–49 | 67.0 | W55–49 | O | Y |
| Sat 10/7 | Ole Miss vs Arkansas | -13.0W27–20 | 61.5 | W27–20 | U | N |
| — Bye Week — | ||||||
| Sat 10/21 | Ole Miss at Auburn | -6.5W28–21 | 55.5 | W28–21 | U | Y |
| Sat 10/28 | Ole Miss vs Vanderbilt | -24.0W33–7 | 62.0 | W33–7 | U | Y |
| Sat 11/4 | Ole Miss vs Texas A&M | -3.0W38–35 | 52.5 | W38–35 | O | N |
| Sat 11/11 | Ole Miss at Georgia | +11.0L17–52 | 59.0 | L17–52 | O | N |
| Sat 11/18 | Ole Miss vs UL Monroe | -35.5W35–3 | 59.5 | W35–3 | U | N |
| Thu 11/23 | Ole Miss at Mississippi State | -11.0W17–7 | 56.0 | W17–7 | U | N |
| Sat 12/30 | Ole Miss vs Penn State | +5.5W38–25 | 53.0 | W38–25 | O | Y |
Tulane 2023 Schedule
Tulane's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Tulane vs South Alabama | -6.0W37–17 | 51.0 | W37–17 | O | Y |
| Sat 9/9 | Tulane vs Ole Miss | +8.0L20–37 | 64.0 | L20–37 | U | N |
| Sat 9/16 | Tulane at Southern Miss | -8.0W21–3 | 47.5 | W21–3 | U | Y |
| Sat 9/23 | Tulane vs Nicholls | -38.0W36–7 | 55.5 | W36–7 | U | N |
| Sat 9/30 | Tulane vs UAB | -22.5W35–23 | 59.5 | W35–23 | U | N |
| — Bye Week — | ||||||
| Fri 10/13 | Tulane at Memphis | -4.5W31–21 | 54.5 | W31–21 | U | Y |
| Sat 10/21 | Tulane vs North Texas | -20.0W35–28 | 63.5 | W35–28 | U | N |
| Sat 10/28 | Tulane at Rice | -10.0W30–28 | 55.0 | W30–28 | O | N |
| Sat 11/4 | Tulane at East Carolina | -17.0W13–10 | 46.0 | W13–10 | U | N |
| Sat 11/11 | Tulane vs Tulsa | -24.5W24–22 | 52.5 | W24–22 | U | N |
| Sat 11/18 | Tulane at Florida Atlantic | -9.5W24–8 | 46.5 | W24–8 | U | Y |
| Fri 11/24 | Tulane vs UTSA | -2.5W29–16 | 51.5 | W29–16 | U | Y |
| Sat 12/2 | Tulane vs SMU | -4.0L14–26 | 50.5 | L14–26 | U | N |
| Wed 12/27 | Tulane vs Virginia Tech | +13.5L20–41 | 43.5 | L20–41 | O | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2023 season
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
→ Ole Miss
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 · 2023 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?
Ole Miss Edge
Ole Miss +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 1 game this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Ole Miss Edge
Ole Miss +6.4
GC Edge (season-to-date)
Teams with this edge win 58.3% of games historically
Based on 1 game this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
CSS and GC disagree on this matchup. When the metrics split, historical cover rates are essentially random — treat this as a coin flip against the spread.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Ole Miss
Lane Kiffin #1
26–13 (67%)
· Yr 4 at school
OC
John David Baker
Yr 1
#1
DC
Pete Golding
Yr 1
#1
Tulane
Willie Fritz #1
45–46 (50%)
· Yr 8 at school
OC
Slade Nagle
Yr 1
#1
DC
Shiel Wood
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: 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 ✓