South Florida at Tulsa Week 12 College Football Matchup South Florida at Tulsa Matchup - Week 12
Sat, Nov 19 2022 · Week 12 · 🏟 Skelly Field at H. A. Chapman Stadium Tulsa, OK · Turf · 30,000 cap
South Florida✈ 967 mi-1 hr TZ
42 48
Final
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📊 Punt & Rally Projection
South Florida
24
Tulsa
38
P&R Line Tulsa -13.5
P&R Total O/U 62
Confidence 90 High
Vegas Tulsa -14 · O/U 57.5
Matchup Prediction
Tulsa has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor Tulsa entering this game.
Momentum Control
58.4%
Tulsa wins
Lean
Game Control
67.1%
Tulsa wins
Solid
Vegas Spread
Tulsa -14
O/U 57.5
teamrankings
Advanced Stats
All 4 factors agree → Tulsa · 83.1% ATS historically when all four align
↓ See full breakdown
South Florida 2022 Schedule
South Florida's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/3South Florida vs BYU+11.0L21–5058.5L21–50ON
Sat 9/10South Florida vs Howard-39.5W42–2061.5W42–20ON
Sat 9/17South Florida at Florida+23.5L28–3158.0L28–31OY
Sat 9/24South Florida at Louisville+15.5L3–4163.5L3–41UN
Sat 10/1South Florida vs East Carolina+10.0L28–4855.5L28–48ON
Sat 10/8South Florida at Cincinnati+27.0L24–2858.5L24–28UY
Sat 10/15South Florida vs Tulane+12.0L31–4555.0L31–45ON
— Bye Week —
Sat 10/29South Florida at Houston+17.0L27–4259.0L27–42OY
Sat 11/5South Florida at Temple-3.5L28–5449.0L28–54ON
Sat 11/12South Florida vs SMU+17.5L23–4172.5L23–41UN
Fri 11/18South Florida at Tulsa+14.0L42–4857.5L42–48OY
Sat 11/26South Florida vs UCF+20.0L39–4667.5L39–46OY
Tulsa 2022 Schedule
Tulsa's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/3Tulsa at Wyoming-6.5L37–4047.0L37–40ON
Sat 9/10Tulsa vs Northern Illinois-6.5W38–3563.0W38–35ON
Sat 9/17Tulsa vs Jacksonville State-12.0W54–1764.0W54–17OY
Sat 9/24Tulsa at Ole Miss+21.0L27–3566.5L27–35UY
Sat 10/1Tulsa vs Cincinnati+10.0L21–3159.0L21–31UY
Sat 10/8Tulsa at Navy-4.5L21–5345.5L21–53ON
— Bye Week —
Fri 10/21Tulsa at Temple-13.5W27–1653.5W27–16UN
Sat 10/29Tulsa vs SMU+1.0L34–4563.5L34–45ON
Sat 11/5Tulsa vs Tulane+6.5L13–2756.0L13–27UN
Thu 11/10Tulsa at Memphis+7.0L10–2662.0L10–26UN
Fri 11/18Tulsa vs South Florida-14.0W48–4257.5W48–42ON
Sat 11/26Tulsa at Houston+13.0W37–3066.5W37–30OY
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2022 season
Tulsa PPA Edge
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Tulsa
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Tulsa
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Tulsa
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
South Florida
+0.495
Tulsa
+0.597
Tulsa Edge
PPA Passing
Pass efficiency edge · Strong predictor
South Florida
+0.537
Tulsa
+0.722
Tulsa Edge
Havoc Total
Def. disruption rate · Strong predictor
South Florida
0.142
Tulsa
0.151
TFLs, sacks, PBUs, forced fumbles — higher is better
Tulsa Edge
Points Per Opp
Drive-finishing edge · Strong predictor
South Florida
+8.276
Tulsa
+9.170
Tulsa Edge
Success Rate
Play consistency edge · Solid predictor
South Florida
+0.841
Tulsa
+0.925
Tulsa Edge
Field Position
Avg start (lower=better) · Solid predictor
South Florida
70.1
Tulsa
71.9
Avg yards from own endzone to average start — lower is better · longer bar = better field position
South Florida Edge
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
South Florida Rated Higher
Overall Power Rating
South Florida
1.9
Tulsa
0.7
Offense Rating
South Florida
18.7
Tulsa
16.9
Defense Rating (lower = better defense)
South Florida
16.8
Tulsa
16.1
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Tulsa Edge
Avg sequences created per game
South Florida #56
0.56
Tulsa #77
0.90
Avg sequences allowed per game (lower is better)
South Florida #127
2.67
Tulsa #63
1.20
Tulsa +0.34
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? Tulsa Edge
Avg GC score per game (offense)
South Florida #1
13.6
Tulsa #1
30.3
Avg GC score allowed per game (lower is better)
South Florida #135
77.8
Tulsa #105
60.0
Tulsa +16.7
GC Edge (season-to-date)
Teams with this edge win 67.1% of games historically
Based on 10 games this season
Actual Result
CSS Battle
Tulsa
4 — 1 sequences
✓ Predicted correctly
GC Battle
Tulsa
78.4 — 11.0 GC score
✓ Predicted correctly
Game Result
Tulsa won by 6
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on Tulsa 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
South Florida
Bob Shoop #1
3–18 (14%) · Yr 3 at school
OC Travis Trickett Yr 1 #1
DC Bob Shoop Yr 1 #1
Staff Rating
0.00 #1
Tulsa
Philip Montgomery #1
38–46 (45%) · Yr 8 at school
OC Philip Montgomery Yr 2 #1
DC Luke Olson 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