Sat, Sep 4 2021
·
Week 1
·
🏟 Gerald J. Ford Stadium
University Park, TX
·
Turf
·
32,000 cap
Abilene Christian✈ 172 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
SMU -32
O/U 66.0
consensus
Abilene Christian 2021 Schedule
Abilene Christian's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | Abilene Christian at SMU | +32.0L9–56 | 66.0 | L9–56 | U | N |
SMU 2021 Schedule
SMU's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | SMU vs Abilene Christian | -32.0W56–9 | 66.0 | W56–9 | U | Y |
| Sat 9/11 | SMU vs North Texas | -22.5W35–12 | 75.5 | W35–12 | U | Y |
| Sat 9/18 | SMU at Louisiana Tech | -11.0W39–37 | 65.0 | W39–37 | O | N |
| Sat 9/25 | SMU at TCU | +8.0W42–34 | 66.0 | W42–34 | O | Y |
| Sat 10/2 | SMU vs South Florida | -21.5W41–17 | 68.5 | W41–17 | U | Y |
| Sat 10/9 | SMU at Navy | -13.5W31–24 | 57.0 | W31–24 | U | N |
| — Bye Week — | ||||||
| Thu 10/21 | SMU vs Tulane | -14.0W55–26 | 70.5 | W55–26 | O | Y |
| Sat 10/30 | SMU at Houston | -1.0L37–44 | 61.5 | L37–44 | O | N |
| Sat 11/6 | SMU at Memphis | -3.5L25–28 | 72.0 | L25–28 | U | N |
| Sat 11/13 | SMU vs UCF | -7.0W55–28 | 61.5 | W55–28 | O | Y |
| Sat 11/20 | SMU at Cincinnati | +9.5L14–48 | 65.5 | L14–48 | U | N |
| Sat 11/27 | SMU vs Tulsa | -6.0L31–34 | 63.0 | L31–34 | O | N |
| Wed 12/29 | SMU vs Virginia | +2.5 | 71.0 | — | — | — |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Abilene Christian Edge
Abilene Christian +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?
Abilene Christian Edge
Abilene Christian +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
SMU
2 — 0 sequences
✗ Predicted incorrectly
GC Battle
SMU
98.9 — 0.2 GC score
✗ Predicted incorrectly
Game Result
SMU won by 47
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on SMU, 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 ✓