Sat, Sep 10 2022
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Week 2
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🏟 Bobby Dodd Stadium at Historic Grant Field
Atlanta, GA
·
Turf
·
55,000 cap
Western Carolina✈ 126 miSame TZ
Preseason projection — This game has not yet been played and 2022 in-season data is not yet available.
Edges are based on 2021 full-season performance.
Confidence will increase once in-season games are logged.
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
76%
Georgia Tech wins
Strong
Vegas Spread
Georgia Tech -24.5
O/U 65.5
consensus
Western Carolina 2022 Schedule
Western Carolina's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/10 | Western Carolina at Georgia Tech | +24.5L17–35 | 65.5 | L17–35 | U | Y |
Georgia Tech 2022 Schedule
Georgia Tech's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Mon 9/5 | Georgia Tech vs Clemson | +24.5L10–41 | 51.0 | L10–41 | U | N |
| Sat 9/10 | Georgia Tech vs Western Carolina | -24.5W35–17 | 65.5 | W35–17 | U | N |
| Sat 9/17 | Georgia Tech vs Ole Miss | +17.0L0–42 | 63.0 | L0–42 | U | N |
| Sat 9/24 | Georgia Tech at UCF | +21.0L10–27 | 56.5 | L10–27 | U | Y |
| Sat 10/1 | Georgia Tech at Pittsburgh | +21.5W26–21 | 47.0 | W26–21 | U | Y |
| Sat 10/8 | Georgia Tech vs Duke | +3.5W23–20 | 54.0 | W23–20 | U | Y |
| — Bye Week — | ||||||
| Thu 10/20 | Georgia Tech vs Virginia | -3.5L9–16 | 48.0 | L9–16 | U | N |
| Sat 10/29 | Georgia Tech at Florida State | +23.5L16–41 | 48.0 | L16–41 | O | N |
| Sat 11/5 | Georgia Tech at Virginia Tech | +4.0W28–27 | 40.5 | W28–27 | O | Y |
| Sat 11/12 | Georgia Tech vs Miami | -2.0L14–35 | 43.5 | L14–35 | O | N |
| Sat 11/19 | Georgia Tech at North Carolina | +21.5W21–17 | 63.5 | W21–17 | U | Y |
| Sat 11/26 | Georgia Tech at Georgia | +36.5L14–37 | 49.0 | L14–37 | O | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Western Carolina Edge
Western Carolina +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2021 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Georgia Tech Edge
Georgia Tech +27.5
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2021 full season · preseason estimate
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 ✓