Sat, Sep 7 2024
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Week 2
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🏟 Sanford Stadium
Athens, GA
·
Turf
·
92,746 cap
Tennessee Tech✈ 195 mi+1 hr 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 wins
Strong
Vegas Spread
Georgia -54.5
O/U 62.5
DraftKings
Tennessee Tech 2024 Schedule
Tennessee Tech's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Tennessee Tech at Middle Tennessee | -9.5 | — | — | — | — |
| Sat 9/7 | Tennessee Tech at Georgia | +54.5L3–48 | 62.5 | L3–48 | U | Y |
Georgia 2024 Schedule
Georgia's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Georgia vs Clemson | -10.5W34–3 | 49.0 | W34–3 | U | Y |
| Sat 9/7 | Georgia vs Tennessee Tech | -54.5W48–3 | 62.5 | W48–3 | U | N |
| Sat 9/14 | Georgia at Kentucky | -24.0W13–12 | 45.0 | W13–12 | U | N |
| — Bye Week — | ||||||
| Sat 9/28 | Georgia at Alabama | -2.0L34–41 | 50.0 | L34–41 | O | N |
| Sat 10/5 | Georgia vs Auburn | -21.0W31–13 | 50.0 | W31–13 | U | N |
| Sat 10/12 | Georgia vs Mississippi State | -34.0W41–31 | 53.5 | W41–31 | O | N |
| Sat 10/19 | Georgia at Texas | +4.0W30–15 | 57.0 | W30–15 | U | Y |
| — Bye Week — | ||||||
| Sat 11/2 | Georgia vs Florida | -14.5W34–20 | 52.5 | W34–20 | O | N |
| Sat 11/9 | Georgia at Ole Miss | -1.5L10–28 | 54.5 | L10–28 | U | N |
| Sat 11/16 | Georgia vs Tennessee | -8.5W31–17 | 47.0 | W31–17 | O | Y |
| Sat 11/23 | Georgia vs Massachusetts | -42.5W59–21 | 55.5 | W59–21 | O | N |
| Fri 11/29 | Georgia vs Georgia Tech | -17.5W44–42 | 48.5 | W44–42 | O | N |
| Sat 12/7 | Georgia vs Texas | +2.5W22–19 | 50.5 | W22–19 | U | Y |
| Thu 1/2 | Georgia vs Notre Dame | +1.5L10–23 | 46.5 | L10–23 | U | N |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Tennessee Tech Edge
Tennessee Tech +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 Edge
Georgia +57.0
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 ✓