Sat, Oct 29 2022
·
Week 9
·
🏟 Houchens Industries-L. T. Smith Stadium
Bowling Green, KY
·
Turf
·
22,113 cap
North Texas✈ 658 miSame TZ
Matchup Prediction
Western Kentucky
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Western Kentucky entering this game.
Momentum Control
58.4%
Western Kentucky wins
Lean
Game Control
67.1%
Western Kentucky wins
Solid
Vegas Spread
Western Kentucky -10
O/U 70.0
teamrankings
Advanced Stats
PPA + Success Rate agree → Western Kentucky
· 73.9% ATS historically
↓ See full breakdown
North Texas 2022 Schedule
North Texas's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/27 | North Texas at UTEP | -1.5W31–13 | 52.5 | W31–13 | U | Y |
| Sat 9/3 | North Texas vs SMU | +9.5L10–48 | 67.5 | L10–48 | U | N |
| Sat 9/10 | North Texas vs Texas Southern | -38.5W59–27 | 64.5 | W59–27 | O | N |
| Sat 9/17 | North Texas at UNLV | +2.5L27–58 | 62.5 | L27–58 | O | N |
| Sat 9/24 | North Texas at Memphis | +13.0L34–44 | 68.5 | L34–44 | O | Y |
| Sat 10/1 | North Texas vs Florida Atlantic | +3.0W45–28 | 67.5 | W45–28 | O | Y |
| — Bye Week — | ||||||
| Sat 10/15 | North Texas vs Louisiana Tech | -6.5W47–27 | 68.0 | W47–27 | O | Y |
| Sat 10/22 | North Texas at UTSA | +10.0L27–31 | 73.0 | L27–31 | U | Y |
| Sat 10/29 | North Texas at Western Kentucky | +10.0W40–13 | 70.0 | W40–13 | U | Y |
| Sat 11/5 | North Texas vs Florida International | -21.0W52–14 | 63.5 | W52–14 | O | Y |
| Sat 11/12 | North Texas at UAB | +6.5L21–41 | 58.0 | L21–41 | O | N |
| — Bye Week — | ||||||
| Sat 11/26 | North Texas vs Rice | -14.5W21–17 | 57.0 | W21–17 | U | N |
| Fri 12/2 | North Texas at UTSA | +8.5L27–48 | 70.0 | L27–48 | O | N |
| Sat 12/17 | North Texas vs Boise State | +12.0L32–35 | 63.0 | L32–35 | O | Y |
Western Kentucky 2022 Schedule
Western Kentucky's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/27 | Western Kentucky vs Austin Peay | -32.5W38–27 | 72.0 | W38–27 | U | N |
| Sat 9/3 | Western Kentucky at Hawai'i | -16.5W49–17 | 67.5 | W49–17 | U | Y |
| — Bye Week — | ||||||
| Sat 9/17 | Western Kentucky at Indiana | +7.0L30–33 | 61.0 | L30–33 | O | Y |
| Sat 9/24 | Western Kentucky vs Florida International | -31.0W73–0 | 65.0 | W73–0 | O | Y |
| Sat 10/1 | Western Kentucky vs Troy | -5.0L27–34 | 55.0 | L27–34 | O | N |
| Sat 10/8 | Western Kentucky at UTSA | +6.5L28–31 | 72.5 | L28–31 | U | Y |
| Sat 10/15 | Western Kentucky at Middle Tennessee | -7.5W35–17 | 67.5 | W35–17 | U | Y |
| Fri 10/21 | Western Kentucky vs UAB | -1.5W20–17 | 60.5 | W20–17 | U | Y |
| Sat 10/29 | Western Kentucky vs North Texas | -10.0L13–40 | 70.0 | L13–40 | U | N |
| Sat 11/5 | Western Kentucky at Charlotte | -14.5W59–7 | 72.5 | W59–7 | U | Y |
| Sat 11/12 | Western Kentucky vs Rice | -13.5W45–10 | 61.0 | W45–10 | U | Y |
| Sat 11/19 | Western Kentucky at Auburn | +5.0L17–41 | 54.0 | L17–41 | O | N |
| Sat 11/26 | Western Kentucky at Florida Atlantic | -7.5W32–31 | 62.5 | W32–31 | O | N |
| Wed 12/21 | Western Kentucky vs South Alabama | +4.0W44–23 | 58.0 | W44–23 | 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
Split
Metrics disagree
Elite · 82.4% ATS
PPA + PPO + Havoc
Split
Metrics disagree
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Western Kentucky
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?
Western Kentucky Edge
Western Kentucky +0.23
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 8 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Western Kentucky Edge
Western Kentucky +12.3
GC Edge (season-to-date)
Teams with this edge win 67.1% of games historically
Based on 8 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Western Kentucky 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
North Texas
Seth Littrell #1
37–38 (49%)
· Yr 7 at school
OC
Mike Bloesch
Yr 2
#1
DC
Phil Bennett
Yr 2
#1
Western Kentucky
Tyson Helton #1
23–16 (59%)
· Yr 4 at school
OC
Ben Arbuckle
Yr 1
#1
DC
Tyson Summers
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 ✓