Sat, Sep 17 2022
·
Week 3
·
🏟 Skelly Field at H. A. Chapman Stadium
Tulsa, OK
·
Turf
·
30,000 cap
Jacksonville State✈ 597 miSame TZ
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
50.6%
—
Toss-up
Vegas Spread
Tulsa -12
O/U 64.0
consensus
Advanced Stats
All 4 factors agree → Jacksonville State
· 83.1% ATS historically when all four align
↓ See full breakdown
Jacksonville State 2022 Schedule
Jacksonville State's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/17 | Jacksonville State at Tulsa | +12.0L17–54 | 64.0 | L17–54 | O | N |
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 |
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
All 4 Agree
→ Jacksonville State
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Jacksonville State
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Jacksonville State
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?
Jacksonville State Edge
Jacksonville State +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Jacksonville State Edge
Jacksonville State +0.0
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 2 games this season
Actual Result
CSS Battle
Tulsa
4 — 0 sequences
✗ Predicted incorrectly
GC Battle
Tulsa
97.0 — 1.5 GC score
✗ Predicted incorrectly
Game Result
Tulsa won by 37
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Tulsa, but the GC edge is small. When metrics agree but GC is near-neutral, the agreed-upon team has covered only 46.7% of the time historically (n=224) — potentially a fade signal.
ATS data is informational only. Past cover rates do not guarantee future results.
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 ✓