Sat, Sep 25 2021
·
Week 4
·
Neutral Site
·
🏟 Mercedes-Benz Stadium
Atlanta, GA
·
Turf
·
71,000 cap
North Carolina✈ 337 miSame TZ
Matchup Prediction
North Carolina
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
North Carolina entering this game.
Momentum Control
80.6%
North Carolina wins
Strong
Game Control
75.9%
North Carolina wins
Solid
Vegas Spread
North Carolina -14.5
O/U 66.0
teamrankings
Advanced Stats
All 4 factors agree → North Carolina
· 83.1% ATS historically when all four align
↓ See full breakdown
North Carolina 2021 Schedule
North Carolina's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Fri 9/3 | North Carolina at Virginia Tech | -5.5L10–17 | 63.5 | L10–17 | U | N |
| Sat 9/11 | North Carolina vs Georgia State | -26.0W59–17 | 65.0 | W59–17 | O | Y |
| Sat 9/18 | North Carolina vs Virginia | -7.5W59–39 | 67.0 | W59–39 | O | Y |
| Sat 9/25 | North Carolina vs Georgia Tech | -14.5L22–45 | 66.0 | L22–45 | O | N |
| Sat 10/2 | North Carolina vs Duke | -19.5W38–7 | 74.0 | W38–7 | U | Y |
| Sat 10/9 | North Carolina vs Florida State | -17.5L25–35 | 64.5 | L25–35 | U | N |
| Sat 10/16 | North Carolina vs Miami | -7.5W45–42 | 63.5 | W45–42 | O | N |
| — Bye Week — | ||||||
| Sat 10/30 | North Carolina at Notre Dame | +3.5L34–44 | 63.0 | L34–44 | O | N |
| Sat 11/6 | North Carolina vs Wake Forest | -2.5W58–55 | 78.0 | W58–55 | O | Y |
| Thu 11/11 | North Carolina at Pittsburgh | +6.5L23–30 | 72.0 | L23–30 | U | N |
| Sat 11/20 | North Carolina vs Wofford | -37.0W34–14 | 62.0 | W34–14 | U | N |
| Fri 11/26 | North Carolina at NC State | +6.5L30–34 | 62.0 | L30–34 | O | Y |
| Thu 12/30 | North Carolina vs South Carolina | -12.5L21–38 | 57.5 | L21–38 | 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 |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2021 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ North Carolina
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ North Carolina
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ North Carolina
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 · 2021 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?
North Carolina Edge
North Carolina +2.33
CSS Edge (season-to-date)
Teams with this edge win 80.6% of games historically
Based on 3 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
North Carolina Edge
North Carolina +19.9
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 3 games this season
Actual Result
CSS Battle
Georgia Tech
3 — 0 sequences
✗ Predicted incorrectly
GC Battle
Georgia Tech
46.2 — 42.7 GC score
✗ Predicted incorrectly
Game Result
Georgia Tech won by 23
✗ Model missed it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on North Carolina with a solid GC edge. Teams with this profile have covered 53.0% of the time historically (n=330) — a mild lean.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
North Carolina
Mack Brown #1
17–11 (61%)
· Yr 3 at school
OC
Phil Longo
Yr 1
#1
DC
Jay Bateman
Yr 1
#1
Georgia Tech
Geoff Collins #1
7–18 (28%)
· Yr 3 at school
OC
Dave Patenaude
Yr 1
#1
DC
Nathan Burton
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 ✓