Sat, Sep 3 2022
·
Week 1
·
🏟 Kidd Brewer Stadium
Boone, NC
·
Turf
·
24,050 cap
North Carolina✈ 148 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
Appalachian State -3
O/U 56.0
teamrankings
Advanced Stats
All 4 factors agree → App State
· 83.1% ATS historically when all four align
↓ See full breakdown
North Carolina 2022 Schedule
North Carolina's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/27 | North Carolina vs Florida A&M | -45.0W56–24 | 55.0 | W56–24 | O | N |
| Sat 9/3 | North Carolina at App State | +3.0W63–61 | 56.0 | W63–61 | O | Y |
| Sat 9/10 | North Carolina at Georgia State | -7.0W35–28 | 64.0 | W35–28 | U | N |
| — Bye Week — | ||||||
| Sat 9/24 | North Carolina vs Notre Dame | -2.5L32–45 | 55.0 | L32–45 | O | N |
| Sat 10/1 | North Carolina vs Virginia Tech | -9.5W41–10 | 57.0 | W41–10 | U | Y |
| Sat 10/8 | North Carolina at Miami | +4.0W27–24 | 67.5 | W27–24 | U | Y |
| Sat 10/15 | North Carolina at Duke | -7.0W38–35 | 70.0 | W38–35 | O | N |
| — Bye Week — | ||||||
| Sat 10/29 | North Carolina vs Pittsburgh | -2.5W42–24 | 65.5 | W42–24 | O | Y |
| Sat 11/5 | North Carolina at Virginia | -7.0W31–28 | 61.5 | W31–28 | U | N |
| Sat 11/12 | North Carolina at Wake Forest | +4.5W36–34 | 79.0 | W36–34 | U | Y |
| Sat 11/19 | North Carolina vs Georgia Tech | -21.5L17–21 | 63.5 | L17–21 | U | N |
| Fri 11/25 | North Carolina vs NC State | -6.5L27–30 | 56.0 | L27–30 | O | N |
| Sat 12/3 | North Carolina vs Clemson | +7.5L10–39 | 64.0 | L10–39 | U | N |
| Wed 12/28 | North Carolina vs Oregon | +13.0L27–28 | 76.0 | L27–28 | U | Y |
App State 2022 Schedule
App State's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | App State vs North Carolina | -3.0L61–63 | 56.0 | L61–63 | O | N |
| Sat 9/10 | App State at Texas A&M | +18.0W17–14 | 54.0 | W17–14 | U | Y |
| Sat 9/17 | App State vs Troy | -14.0W32–28 | 52.0 | W32–28 | O | N |
| Sat 9/24 | App State vs James Madison | -6.0L28–32 | 57.0 | L28–32 | O | N |
| Sat 10/1 | App State vs The Citadel | -39.0W49–0 | 54.5 | W49–0 | U | Y |
| Sat 10/8 | App State at Texas State | -19.5L24–36 | 54.5 | L24–36 | O | N |
| — Bye Week — | ||||||
| Wed 10/19 | App State vs Georgia State | -9.5W42–17 | 60.5 | W42–17 | U | Y |
| Sat 10/29 | App State vs Robert Morris | -50.0W42–3 | 59.5 | W42–3 | U | N |
| Thu 11/3 | App State at Coastal Carolina | -3.0L28–35 | 65.5 | L28–35 | U | N |
| Sat 11/12 | App State at Marshall | -2.0L21–28 | 47.5 | L21–28 | O | N |
| Sat 11/19 | App State vs Old Dominion | -16.5W27–14 | 50.5 | W27–14 | U | N |
| Sat 11/26 | App State at Georgia Southern | -6.5L48–51 | 66.0 | L48–51 | O | N |
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
→ App State
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ App State
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ App State
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?
North Carolina Edge
North Carolina +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?
North Carolina Edge
North Carolina +0.0
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 0 games this season
Actual Result
CSS Battle
North Carolina
3 — 5 sequences
✗ Predicted incorrectly
GC Battle
North Carolina
32.5 — 53.7 GC score
✗ Predicted incorrectly
Game Result
North Carolina won by 2
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on App State, 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
North Carolina
Mack Brown #1
21–17 (55%)
· Yr 4 at school
OC
Phil Longo
Yr 2
#1
DC
Gene Chizik
Yr 1
#1
App State
Shawn Clark #1
20–7 (74%)
· Yr 3 at school
OC
Kevin Barbay
Yr 1
#1
DC
Dale Jones
Yr 2
#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 ✓