Sat, Sep 11 2021
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Week 2
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🏟 Bobby Dodd Stadium at Historic Grant Field
Atlanta, GA
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Turf
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55,000 cap
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
Georgia Tech -20.0
O/U 53.0
Bovada
Kennesaw State 2021 Schedule
Kennesaw State's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/11 | Kennesaw State at Georgia Tech | +20.0L17–45 | 53.0 | L17–45 | O | N |
Georgia Tech 2021 Schedule
Georgia Tech's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | Georgia Tech vs Northern Illinois | -19.0L21–22 | 57.0 | L21–22 | U | N |
| Sat 9/11 | Georgia Tech vs Kennesaw State | -20.0W45–17 | 53.0 | W45–17 | O | Y |
| Sat 9/18 | Georgia Tech at Clemson | +27.5L8–14 | 52.5 | L8–14 | U | Y |
| Sat 9/25 | Georgia Tech vs North Carolina | +14.5W45–22 | 66.0 | W45–22 | O | Y |
| Sat 10/2 | Georgia Tech vs Pittsburgh | +3.0L21–52 | 57.5 | L21–52 | O | N |
| Sat 10/9 | Georgia Tech at Duke | -4.5W31–27 | 60.5 | W31–27 | U | N |
| — Bye Week — | ||||||
| Sat 10/23 | Georgia Tech at Virginia | +6.5L40–48 | 66.0 | L40–48 | O | N |
| Sat 10/30 | Georgia Tech vs Virginia Tech | -3.0L17–26 | 55.0 | L17–26 | U | N |
| Sat 11/6 | Georgia Tech at Miami | +10.0L30–33 | 63.0 | L30–33 | U | Y |
| Sat 11/13 | Georgia Tech vs Boston College | +2.0L30–41 | 55.0 | L30–41 | O | N |
| Sat 11/20 | Georgia Tech at Notre Dame | +18.0L0–55 | 57.5 | L0–55 | U | N |
| Sat 11/27 | Georgia Tech vs Georgia | +35.5L0–45 | 54.5 | L0–45 | U | N |
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?
Kennesaw State Edge
Kennesaw State +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 1 game this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Kennesaw State Edge
Kennesaw State +0.0
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 1 game 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.
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 ✓