Sat, Sep 13 2025
·
Week 3
·
🏟 Bobby Dodd Stadium at Historic Grant Field
Atlanta, GA
·
Turf
·
55,000 cap
Clemson✈ 108 miSame TZ
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Clemson,
while Game Control favors Georgia Tech.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
73.7%
Clemson wins
Solid
Game Control
67.1%
Georgia Tech wins
Solid
Vegas Spread
Clemson -2.5
O/U 49.5
ESPN Bet
Advanced Stats
3 factors agree (PPA + PPO + Havoc) → Clemson
· 82.4% ATS historically
↓ See full breakdown
Clemson 2025 Schedule
Clemson's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Clemson vs LSU | -3.5L10–17 | 57.5 | L10–17 | U | N |
| Sat 9/6 | Clemson vs Troy | -31.0W27–16 | 51.5 | W27–16 | U | N |
| Sat 9/13 | Clemson at Georgia Tech | -2.5L21–24 | 49.5 | L21–24 | U | N |
| Sat 9/20 | Clemson vs Syracuse | -17.5L21–34 | 53.5 | L21–34 | O | N |
| — Bye Week — | ||||||
| Sat 10/4 | Clemson at North Carolina | -15.5W38–10 | 47.5 | W38–10 | O | Y |
| Sat 10/11 | Clemson at Boston College | -14.0W41–10 | 54.5 | W41–10 | U | Y |
| Sat 10/18 | Clemson vs SMU | -3.5L24–35 | 49.5 | L24–35 | O | N |
| — Bye Week — | ||||||
| Sat 11/1 | Clemson vs Duke | -4.5L45–46 | 55.5 | L45–46 | O | N |
| Sat 11/8 | Clemson vs Florida State | -1.5W24–10 | 56.5 | W24–10 | U | Y |
| Fri 11/14 | Clemson at Louisville | +1.5W20–19 | 50.5 | W20–19 | U | Y |
| Sat 11/22 | Clemson vs Furman | -41.5W45–10 | 55.5 | W45–10 | U | N |
| Sat 11/29 | Clemson at South Carolina | +2.5W28–14 | 45.5 | W28–14 | U | Y |
| Sat 12/27 | Clemson vs Penn State | -2.5L10–22 | 47.5 | L10–22 | U | 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
Split
Metrics disagree
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Clemson
Elite · 73.9% ATS
PPA + Success Rate
Split
Metrics disagree
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?
Clemson Edge
Clemson +1.00
CSS Edge (season-to-date)
Teams with this edge win 73.7% of games historically
Based on 1 game this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Georgia Tech Edge
Georgia Tech +16.7
GC Edge (season-to-date)
Teams with this edge win 67.1% of games historically
Based on 2 games this season
Actual Result
CSS Battle
Georgia Tech
2 — 0 sequences
✗ Predicted incorrectly
GC Battle
Georgia Tech
55.7 — 18.2 GC score
✓ Predicted correctly
Game Result
Georgia Tech won by 3
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
Clemson
Dabo Swinney #1
180–46 (80%)
· Yr 17 at school
OC
Garrett Riley
Yr 3
#1
DC
Tom Allen
Yr 1
#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 ✓