Sat, Aug 23 2025
·
Week 1
·
🏟 Houchens Industries-L. T. Smith Stadium
Bowling Green, KY
·
Turf
·
22,113 cap
Sam Houston✈ 677 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
Western Kentucky -9.5
O/U 60.5
DraftKings
Advanced Stats
All 4 factors agree → Western Kentucky
· 83.1% ATS historically when all four align
↓ See full breakdown
Sam Houston 2025 Schedule
Sam Houston's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/23 | Sam Houston at Western Kentucky | +9.5L24–41 | 60.5 | L24–41 | O | N |
| Fri 8/29 | Sam Houston vs UNLV | +13.5L21–38 | 58.5 | L21–38 | O | N |
| Sat 9/6 | Sam Houston at Hawai'i | +7.0L20–37 | 47.5 | L20–37 | O | N |
| — Bye Week — | ||||||
| Sat 9/20 | Sam Houston at Texas | +39.5L0–55 | 51.5 | L0–55 | O | N |
| — Bye Week — | ||||||
| Thu 10/2 | Sam Houston at New Mexico State | -1.5L10–37 | 53.5 | L10–37 | U | N |
| Thu 10/9 | Sam Houston vs Jacksonville State | +7.0L27–29 | 53.5 | L27–29 | O | Y |
| Wed 10/15 | Sam Houston vs UTEP | +3.5L17–35 | 46.5 | L17–35 | O | N |
| — Bye Week — | ||||||
| Fri 10/31 | Sam Houston at Louisiana Tech | +16.5L14–55 | 48.0 | L14–55 | O | N |
| Sat 11/8 | Sam Houston at Oregon State | +21.0W21–17 | 52.5 | W21–17 | U | Y |
| Sat 11/15 | Sam Houston vs Delaware | +11.5W26–23 | 56.5 | W26–23 | U | Y |
| Sat 11/22 | Sam Houston at Middle Tennessee | +6.5L17–31 | 53.5 | L17–31 | U | N |
| Sat 11/29 | Sam Houston vs Florida International | +10.5L16–56 | 50.5 | L16–56 | O | N |
Western Kentucky 2025 Schedule
Western Kentucky's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/23 | Western Kentucky vs Sam Houston | -9.5W41–24 | 60.5 | W41–24 | O | Y |
| Sat 8/30 | Western Kentucky vs North Alabama | -27.5W55–6 | 60.5 | W55–6 | O | Y |
| Sat 9/6 | Western Kentucky at Toledo | +8.5L21–45 | 57.5 | L21–45 | O | N |
| — Bye Week — | ||||||
| Sat 9/20 | Western Kentucky vs Nevada | -8.5W31–16 | 54.5 | W31–16 | U | Y |
| Sat 9/27 | Western Kentucky at Missouri State | -3.5W27–22 | 59.5 | W27–22 | U | Y |
| Fri 10/3 | Western Kentucky at Delaware | +2.5W27–24 | 62.5 | W27–24 | U | Y |
| — Bye Week — | ||||||
| Tue 10/14 | Western Kentucky vs Florida International | -9.5L6–25 | 55.5 | L6–25 | U | N |
| Tue 10/21 | Western Kentucky at Louisiana Tech | +5.5W28–27 | 49.5 | W28–27 | O | Y |
| Sat 11/1 | Western Kentucky vs New Mexico State | -7.5W35–16 | 53.5 | W35–16 | U | Y |
| — Bye Week — | ||||||
| Sat 11/15 | Western Kentucky vs Middle Tennessee | -13.5W42–26 | 51.5 | W42–26 | O | Y |
| Sat 11/22 | Western Kentucky at LSU | +24.5L10–13 | 52.0 | L10–13 | U | Y |
| Sat 11/29 | Western Kentucky at Jacksonville State | -1.5L34–37 | 56.5 | L34–37 | O | N |
| Tue 12/23 | Western Kentucky vs Southern Miss | +3.0W27–16 | 59.0 | W27–16 | U | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2025 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Western Kentucky
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Western Kentucky
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 · 2025 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?
Sam Houston Edge
Sam Houston +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 0 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Sam Houston Edge
Sam Houston +0.0
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 0 games this season
Actual Result
CSS Battle
Western Kentucky
3 — 0 sequences
✗ Predicted incorrectly
GC Battle
Western Kentucky
71.7 — 12.6 GC score
✗ Predicted incorrectly
Game Result
Western Kentucky won by 17
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Western Kentucky, 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.
Coaching Matchup
Sam Houston
Phil Longo #1
0–0 (0%)
· Yr 1 at school
OC
Zack Patterson
Yr 1
#1
DC
Freddie Aughtry-Lindsay
Yr 1
#1
Western Kentucky
Tyson Helton #1
48–31 (61%)
· Yr 7 at school
OC
Will Friend
Yr 2
#1
DC
Tyson Summers
Yr 3
#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 ✓

