Matchup Prediction
Memphis
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Memphis entering this game.
Momentum Control
58.4%
Memphis wins
Lean
Game Control
67.1%
Memphis wins
Solid
Vegas Spread
Memphis -7
O/U 62.0
teamrankings
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
Tulsa 2022 Schedule
Tulsa's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | Tulsa at Wyoming | -6.5L37–40 | 47.0 | L37–40 | O | N |
| Sat 9/10 | Tulsa vs Northern Illinois | -6.5W38–35 | 63.0 | W38–35 | O | N |
| Sat 9/17 | Tulsa vs Jacksonville State | -12.0W54–17 | 64.0 | W54–17 | O | Y |
| Sat 9/24 | Tulsa at Ole Miss | +21.0L27–35 | 66.5 | L27–35 | U | Y |
| Sat 10/1 | Tulsa vs Cincinnati | +10.0L21–31 | 59.0 | L21–31 | U | Y |
| Sat 10/8 | Tulsa at Navy | -4.5L21–53 | 45.5 | L21–53 | O | N |
| — Bye Week — | ||||||
| Fri 10/21 | Tulsa at Temple | -13.5W27–16 | 53.5 | W27–16 | U | N |
| Sat 10/29 | Tulsa vs SMU | +1.0L34–45 | 63.5 | L34–45 | O | N |
| Sat 11/5 | Tulsa vs Tulane | +6.5L13–27 | 56.0 | L13–27 | U | N |
| Thu 11/10 | Tulsa at Memphis | +7.0L10–26 | 62.0 | L10–26 | U | N |
| Fri 11/18 | Tulsa vs South Florida | -14.0W48–42 | 57.5 | W48–42 | O | N |
| Sat 11/26 | Tulsa at Houston | +13.0W37–30 | 66.5 | W37–30 | O | Y |
Memphis 2022 Schedule
Memphis's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | Memphis at Mississippi State | +17.0L23–49 | 58.0 | L23–49 | O | N |
| Sat 9/10 | Memphis at Navy | -4.5W37–13 | 47.5 | W37–13 | O | Y |
| Sat 9/17 | Memphis vs Arkansas State | -14.5W44–32 | 64.0 | W44–32 | O | N |
| Sat 9/24 | Memphis vs North Texas | -13.0W44–34 | 68.5 | W44–34 | O | N |
| Sat 10/1 | Memphis vs Temple | -18.5W24–3 | 50.0 | W24–3 | U | Y |
| Fri 10/7 | Memphis vs Houston | -1.5L32–33 | 57.5 | L32–33 | O | N |
| Sat 10/15 | Memphis at East Carolina | +5.5L45–47 | 62.5 | L45–47 | O | Y |
| Sat 10/22 | Memphis at Tulane | +7.0L28–38 | 55.5 | L28–38 | O | N |
| — Bye Week — | ||||||
| Sat 11/5 | Memphis vs UCF | +3.0L28–35 | 60.5 | L28–35 | O | N |
| Thu 11/10 | Memphis vs Tulsa | -7.0W26–10 | 62.0 | W26–10 | U | Y |
| Sat 11/19 | Memphis vs North Alabama | -36.0W59–0 | 67.5 | W59–0 | U | Y |
| Sat 11/26 | Memphis at SMU | +4.5L31–34 | 69.0 | L31–34 | U | Y |
| Tue 12/27 | Memphis vs Utah State | -8.0W38–10 | 57.0 | W38–10 | U | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2022 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
Split
Metrics disagree
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 · 2022 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?
Memphis Edge
Memphis +0.44
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 9 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Memphis Edge
Memphis +16.6
GC Edge (season-to-date)
Teams with this edge win 67.1% of games historically
Based on 9 games this season
Actual Result
CSS Battle
Memphis
2 — 0 sequences
✓ Predicted correctly
GC Battle
Memphis
87.4 — 4.5 GC score
✓ Predicted correctly
Game Result
Memphis won by 16
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Memphis 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
Tulsa
Philip Montgomery #1
38–46 (45%)
· Yr 8 at school
OC
Philip Montgomery
Yr 2
#1
DC
Luke Olson
Yr 1
#1
Memphis
Ryan Silverfield #1
14–10 (58%)
· Yr 3 at school
OC
Tim Cramsey
Yr 1
#1
DC
Matt Barnes
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: 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 ✓
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 ✓