Sat, Sep 6 2025
·
Week 2
·
🏟 Bobby Dodd Stadium at Historic Grant Field
Atlanta, GA
·
Turf
·
55,000 cap
Gardner-Webb✈ 185 miSame TZ
Preseason projection — This game has not yet been played and 2025 in-season data is not yet available.
Edges are based on 2024 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
49.4%
Gardner-Webb wins
Toss-up
Vegas Spread
Georgia Tech -37.5
O/U 60.5
Bovada
Gardner-Webb 2025 Schedule
Gardner-Webb's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/6 | Gardner-Webb at Georgia Tech | +37.5L12–59 | 60.5 | L12–59 | O | N |
| — Bye Week — | ||||||
| Sat 9/20 | Gardner-Webb at Ohio | +30.5L35–52 | 55.0 | L35–52 | O | Y |
Georgia Tech 2025 Schedule
Georgia Tech's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Fri 8/29 | Georgia Tech at Colorado | -4.0W27–20 | 55.5 | W27–20 | U | Y |
| Sat 9/6 | Georgia Tech vs Gardner-Webb | -37.5W59–12 | 60.5 | W59–12 | O | Y |
| Sat 9/13 | Georgia Tech vs Clemson | +2.5W24–21 | 49.5 | W24–21 | U | Y |
| Sat 9/20 | Georgia Tech vs Temple | -24.5W45–24 | 52.5 | W45–24 | O | N |
| Sat 9/27 | Georgia Tech at Wake Forest | -13.5W30–29 | 53.5 | W30–29 | O | N |
| — Bye Week — | ||||||
| Sat 10/11 | Georgia Tech vs Virginia Tech | -14.0W35–20 | 55.5 | W35–20 | U | Y |
| Sat 10/18 | Georgia Tech at Duke | +3.5W27–18 | 60.5 | W27–18 | U | Y |
| Sat 10/25 | Georgia Tech vs Syracuse | -17.5W41–16 | 52.5 | W41–16 | O | Y |
| Sat 11/1 | Georgia Tech at NC State | -4.5L36–48 | 58.5 | L36–48 | O | N |
| — Bye Week — | ||||||
| Sat 11/15 | Georgia Tech at Boston College | -16.5W36–34 | 61.5 | W36–34 | O | N |
| Sat 11/22 | Georgia Tech vs Pittsburgh | -2.5L28–42 | 61.5 | L28–42 | O | N |
| Fri 11/28 | Georgia Tech vs Georgia | +15.5L9–16 | 59.5 | L9–16 | U | Y |
| Sat 12/27 | Georgia Tech vs BYU | +3.5L21–25 | 55.0 | L21–25 | U | N |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Gardner-Webb Edge
Gardner-Webb +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2024 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Gardner-Webb Edge
Gardner-Webb +0.1
GC Edge (season-to-date)
Teams with this edge win 49.4% of games historically
Based on 2024 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 ✓