Fri, Sep 3 2021
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Week 1
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🏟 Houchens Industries-L. T. Smith Stadium
Bowling Green, KY
·
Turf
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22,113 cap
UT Martin✈ 140 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 -24
O/U 58.5
William Hill (New Jersey)
UT Martin 2021 Schedule
UT Martin's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 9/2 | UT Martin at Western Kentucky | +24.0L21–59 | 58.5 | L21–59 | O | N |
Western Kentucky 2021 Schedule
Western Kentucky's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 9/2 | Western Kentucky vs UT Martin | -24.0W59–21 | 58.5 | W59–21 | O | Y |
| Sat 9/11 | Western Kentucky at Army | +6.0L35–38 | 52.0 | L35–38 | O | Y |
| — Bye Week — | ||||||
| Sat 9/25 | Western Kentucky vs Indiana | +9.5L31–33 | 62.5 | L31–33 | O | Y |
| Sat 10/2 | Western Kentucky at Michigan State | +10.5L31–48 | 66.5 | L31–48 | O | N |
| Sat 10/9 | Western Kentucky vs UTSA | -3.5L46–52 | 71.0 | L46–52 | O | N |
| Sat 10/16 | Western Kentucky at Old Dominion | -13.5W43–20 | 66.5 | W43–20 | U | Y |
| Sat 10/23 | Western Kentucky at Florida International | -16.5W34–19 | 78.0 | W34–19 | U | N |
| Sat 10/30 | Western Kentucky vs Charlotte | -19.5W45–13 | 71.5 | W45–13 | U | Y |
| Sat 11/6 | Western Kentucky vs Middle Tennessee | -17.5W48–21 | 66.5 | W48–21 | O | Y |
| Sat 11/13 | Western Kentucky at Rice | -19.0W42–21 | 61.0 | W42–21 | O | Y |
| Sat 11/20 | Western Kentucky vs Florida Atlantic | -11.5W52–17 | 64.0 | W52–17 | O | Y |
| Sat 11/27 | Western Kentucky at Marshall | -1.0W53–21 | 75.5 | W53–21 | U | Y |
| Fri 12/3 | Western Kentucky at UTSA | -3.0L41–49 | 74.5 | L41–49 | O | N |
| Sat 12/18 | Western Kentucky vs App State | +3.0W59–38 | 67.0 | W59–38 | O | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
UT Martin Edge
UT Martin +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?
UT Martin Edge
UT Martin +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
6 — 0 sequences
✗ Predicted incorrectly
GC Battle
Western Kentucky
69.0 — 17.3 GC score
✗ Predicted incorrectly
Game Result
Western Kentucky won by 38
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.
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: CSS is not a predictive 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: GS is not a predictive 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: CSS is not a predictive 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: GS is not a predictive 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 ✓