Sat, Sep 14 2024
·
Week 3
·
🏟 Bobby Dodd Stadium at Historic Grant Field
Atlanta, GA
·
Turf
·
55,000 cap
VMI✈ 392 miSame TZ
Preseason projection — This game has not yet been played and 2024 in-season data is not yet available.
Edges are based on 2023 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 -42.5
O/U 53.5
ESPN Bet
VMI 2024 Schedule
VMI's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/14 | VMI at Georgia Tech | +42.5L7–59 | 53.5 | L7–59 | O | N |
Georgia Tech 2024 Schedule
Georgia Tech's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/24 | Georgia Tech vs Florida State | +10.0W24–21 | 54.5 | W24–21 | U | Y |
| Sat 8/31 | Georgia Tech vs Georgia State | -20.5W35–12 | 57.0 | W35–12 | U | Y |
| Sat 9/7 | Georgia Tech at Syracuse | -2.5L28–31 | 60.5 | L28–31 | U | N |
| Sat 9/14 | Georgia Tech vs VMI | -42.5W59–7 | 53.5 | W59–7 | O | Y |
| Sat 9/21 | Georgia Tech at Louisville | +9.5L19–31 | 56.0 | L19–31 | U | N |
| — Bye Week — | ||||||
| Sat 10/5 | Georgia Tech vs Duke | -10.0W24–14 | 52.5 | W24–14 | U | N |
| Sat 10/12 | Georgia Tech at North Carolina | -3.5W41–34 | 60.5 | W41–34 | O | Y |
| Sat 10/19 | Georgia Tech vs Notre Dame | +14.0L13–31 | 49.5 | L13–31 | U | N |
| Sat 10/26 | Georgia Tech at Virginia Tech | +11.0L6–21 | 52.0 | L6–21 | U | N |
| — Bye Week — | ||||||
| Sat 11/9 | Georgia Tech vs Miami | +9.5W28–23 | 64.5 | W28–23 | U | Y |
| — Bye Week — | ||||||
| Thu 11/21 | Georgia Tech vs NC State | -7.5W30–29 | 51.5 | W30–29 | O | N |
| Fri 11/29 | Georgia Tech at Georgia | +17.5L42–44 | 48.5 | L42–44 | O | Y |
| Fri 12/27 | Georgia Tech vs Vanderbilt | -3.0L27–35 | 49.0 | L27–35 | O | N |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
VMI Edge
VMI +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2023 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Georgia Tech Edge
Georgia Tech +34.4
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2023 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: 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 ✓