Sat, Sep 17 2022
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Week 3
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🏟 Albertsons Stadium
Boise, ID
·
Turf
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36,387 cap
UT Martin✈ 1,523 mi-1 hr 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
Boise State -24.5
O/U 53.5
consensus
UT Martin 2022 Schedule
UT Martin's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/17 | UT Martin at Boise State | +24.5L7–30 | 53.5 | L7–30 | U | Y |
| — Bye Week — | ||||||
| Sat 10/22 | UT Martin at Tennessee | +38.5L24–65 | 71.5 | L24–65 | O | N |
Boise State 2022 Schedule
Boise State's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | Boise State at Oregon State | +2.0L17–34 | 55.5 | L17–34 | U | N |
| Fri 9/9 | Boise State at New Mexico | -17.0W31–14 | 43.5 | W31–14 | O | N |
| Sat 9/17 | Boise State vs UT Martin | -24.5W30–7 | 53.5 | W30–7 | U | N |
| Fri 9/23 | Boise State at UTEP | -16.0L10–27 | 44.5 | L10–27 | U | N |
| Fri 9/30 | Boise State vs San Diego State | -6.0W35–13 | 38.0 | W35–13 | O | Y |
| Sat 10/8 | Boise State vs Fresno State | -9.0W40–20 | 45.0 | W40–20 | O | Y |
| — Bye Week — | ||||||
| Sat 10/22 | Boise State at Air Force | +2.5W19–14 | 46.5 | W19–14 | U | Y |
| Sat 10/29 | Boise State vs Colorado State | -25.0W49–10 | 42.5 | W49–10 | O | Y |
| Sat 11/5 | Boise State vs BYU | -9.5L28–31 | 54.5 | L28–31 | O | N |
| Sat 11/12 | Boise State at Nevada | -21.0W41–3 | 47.0 | W41–3 | U | Y |
| Sat 11/19 | Boise State at Wyoming | -14.5W20–17 | 44.5 | W20–17 | U | N |
| Fri 11/25 | Boise State vs Utah State | -17.0W42–23 | 51.5 | W42–23 | O | Y |
| Sat 12/3 | Boise State vs Fresno State | -3.0L16–28 | 54.5 | L16–28 | U | N |
| Sat 12/17 | Boise State vs North Texas | -12.0W35–32 | 63.0 | W35–32 | O | N |
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 2 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 2 games this season
Actual Result
CSS Battle
Boise State
2 — 0 sequences
✗ Predicted incorrectly
GC Battle
Boise State
89.6 — 2.7 GC score
✗ Predicted incorrectly
Game Result
Boise State won by 23
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Boise State, 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 ✓