Fri, Nov 28 2025
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Week 14
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Neutral Site
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🏟 Mercedes-Benz Stadium
Atlanta, GA
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Turf
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71,000 cap
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Georgia Tech,
while Game Control favors Georgia.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
58.4%
Georgia Tech wins
Lean
Game Control
58.3%
Georgia wins
Lean
Vegas Spread
Georgia -15.5
O/U 59.5
ESPN Bet
Advanced Stats
All 4 factors agree → Georgia
· 83.1% ATS historically when all four align
↓ See full breakdown
Georgia 2025 Schedule
Georgia's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Georgia vs Marshall | -39.5W45–7 | 55.5 | W45–7 | U | N |
| Sat 9/6 | Georgia vs Austin Peay | -47.0W28–6 | 55.5 | W28–6 | U | N |
| Sat 9/13 | Georgia at Tennessee | -3.5W44–41 | 50.5 | W44–41 | O | N |
| — Bye Week — | ||||||
| Sat 9/27 | Georgia vs Alabama | -2.5L21–24 | 53.5 | L21–24 | U | N |
| Sat 10/4 | Georgia vs Kentucky | -19.5W35–14 | 48.5 | W35–14 | O | Y |
| Sat 10/11 | Georgia at Auburn | -4.5W20–10 | 45.5 | W20–10 | U | Y |
| Sat 10/18 | Georgia vs Ole Miss | -7.5W43–35 | 56.5 | W43–35 | O | Y |
| — Bye Week — | ||||||
| Sat 11/1 | Georgia vs Florida | -7.0W24–20 | 50.5 | W24–20 | U | N |
| Sat 11/8 | Georgia at Mississippi State | -9.5W41–21 | 56.5 | W41–21 | O | Y |
| Sat 11/15 | Georgia vs Texas | -3.5W35–10 | 50.5 | W35–10 | U | Y |
| Sat 11/22 | Georgia vs Charlotte | -42.5W35–3 | 53.5 | W35–3 | U | N |
| Fri 11/28 | Georgia vs Georgia Tech | -15.5W16–9 | 59.5 | W16–9 | U | N |
| Sat 12/6 | Georgia vs Alabama | -2.5W28–7 | 47.5 | W28–7 | U | Y |
| Thu 1/1 | Georgia vs Ole Miss | -6.0L34–39 | 53.5 | L34–39 | O | N |
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 |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2025 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Georgia
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Georgia
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Georgia
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
PPA Passing
Pass efficiency edge · Strong predictor
Havoc Total
Def. disruption rate · Strong predictor
TFLs, sacks, PBUs, forced fumbles — higher is better
Points Per Opp
Drive-finishing edge · Strong predictor
Success Rate
Play consistency edge · Solid predictor
Field Position
Avg start (lower=better) · Solid predictor
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Advanced stats sourced from CFBD · 2025 season ·
Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Georgia Tech Edge
Georgia Tech +0.30
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 10 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Georgia Edge
Georgia +9.8
GC Edge (season-to-date)
Teams with this edge win 58.3% of games historically
Based on 11 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
CSS and GC disagree on this matchup. When the metrics split, historical cover rates are essentially random — treat this as a coin flip against the spread.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Georgia
Kirby Smart #1
105–18 (85%)
· Yr 10 at school
OC
Mike Bobo
Yr 3
#1
DC
Glenn Schumann
Yr 2
#1
Georgia Tech
Brent Key #1
18–15 (55%)
· Yr 4 at school
OC
Buster Faulkner
Yr 3
#1
DC
Blake Gideon
Yr 1
#1
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 ✓