Tue, Sep 6 2022
·
Week 1
·
Neutral Site
·
🏟 Mercedes-Benz Stadium
Atlanta, GA
·
Turf
·
71,000 cap
Clemson✈ 109 miSame TZ
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
50.6%
—
Toss-up
Vegas Spread
Clemson -24.5
O/U 51.0
teamrankings
Advanced Stats
All 4 factors agree → Clemson
· 83.1% ATS historically when all four align
↓ See full breakdown
Clemson 2022 Schedule
Clemson's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Mon 9/5 | Clemson vs Georgia Tech | -24.5W41–10 | 51.0 | W41–10 | U | Y |
| Sat 9/10 | Clemson vs Furman | -45.5W35–12 | 51.5 | W35–12 | U | N |
| Sat 9/17 | Clemson vs Louisiana Tech | -33.5W48–20 | 53.5 | W48–20 | O | N |
| Sat 9/24 | Clemson at Wake Forest | -7.5W51–45 | 58.0 | W51–45 | O | N |
| Sat 10/1 | Clemson vs NC State | -6.5W30–20 | 46.0 | W30–20 | O | Y |
| Sat 10/8 | Clemson at Boston College | -21.0W31–3 | 49.0 | W31–3 | U | Y |
| Sat 10/15 | Clemson at Florida State | -4.5W34–28 | 51.0 | W34–28 | O | Y |
| Sat 10/22 | Clemson vs Syracuse | -14.0W27–21 | 50.0 | W27–21 | U | N |
| — Bye Week — | ||||||
| Sat 11/5 | Clemson at Notre Dame | -3.5L14–35 | 43.5 | L14–35 | O | N |
| Sat 11/12 | Clemson vs Louisville | -7.0W31–16 | 52.0 | W31–16 | U | Y |
| Sat 11/19 | Clemson vs Miami | -19.0W40–10 | 47.5 | W40–10 | O | Y |
| Sat 11/26 | Clemson vs South Carolina | -14.0L30–31 | 53.0 | L30–31 | O | N |
| Sat 12/3 | Clemson vs North Carolina | -7.5W39–10 | 64.0 | W39–10 | U | Y |
| Fri 12/30 | Clemson vs Tennessee | -4.0L14–31 | 62.0 | L14–31 | U | N |
Georgia Tech 2022 Schedule
Georgia Tech's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Mon 9/5 | Georgia Tech vs Clemson | +24.5L10–41 | 51.0 | L10–41 | U | N |
| Sat 9/10 | Georgia Tech vs Western Carolina | -24.5W35–17 | 65.5 | W35–17 | U | N |
| Sat 9/17 | Georgia Tech vs Ole Miss | +17.0L0–42 | 63.0 | L0–42 | U | N |
| Sat 9/24 | Georgia Tech at UCF | +21.0L10–27 | 56.5 | L10–27 | U | Y |
| Sat 10/1 | Georgia Tech at Pittsburgh | +21.5W26–21 | 47.0 | W26–21 | U | Y |
| Sat 10/8 | Georgia Tech vs Duke | +3.5W23–20 | 54.0 | W23–20 | U | Y |
| — Bye Week — | ||||||
| Thu 10/20 | Georgia Tech vs Virginia | -3.5L9–16 | 48.0 | L9–16 | U | N |
| Sat 10/29 | Georgia Tech at Florida State | +23.5L16–41 | 48.0 | L16–41 | O | N |
| Sat 11/5 | Georgia Tech at Virginia Tech | +4.0W28–27 | 40.5 | W28–27 | O | Y |
| Sat 11/12 | Georgia Tech vs Miami | -2.0L14–35 | 43.5 | L14–35 | O | N |
| Sat 11/19 | Georgia Tech at North Carolina | +21.5W21–17 | 63.5 | W21–17 | U | Y |
| Sat 11/26 | Georgia Tech at Georgia | +36.5L14–37 | 49.0 | L14–37 | O | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2022 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Clemson
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Clemson
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Clemson
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 · 2022 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 +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 0 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Clemson Edge
Clemson +0.0
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 0 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Georgia Tech, but the GC edge is small. When metrics agree but GC is near-neutral, the agreed-upon team has covered only 46.7% of the time historically (n=224) — potentially a fade signal.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Clemson
Dabo Swinney #1
150–36 (81%)
· Yr 15 at school
OC
Brandon Streeter
Yr 1
#1
DC
Mickey Conn
Yr 1
#1
Georgia Tech
Geoff Collins #1
9–24 (27%)
· Yr 4 at school
OC
Chip Long
Yr 1
#1
DC
Andrew Thacker
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: 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 ✓