Matchup Prediction
App State
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
App State entering this game.
Momentum Control
71.6%
App State wins
Solid
Game Control
58.6%
App State wins
Lean
Vegas Spread
Appalachian State -14
O/U 52.0
teamrankings
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
Troy 2022 Schedule
Troy's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | Troy at Ole Miss | +21.5L10–28 | 56.5 | L10–28 | U | Y |
| Sat 9/10 | Troy vs Alabama A&M | -37.5W38–17 | 52.0 | W38–17 | O | N |
| Sat 9/17 | Troy at App State | +14.0L28–32 | 52.0 | L28–32 | O | Y |
| Sat 9/24 | Troy vs Marshall | +3.0W16–7 | 51.5 | W16–7 | U | Y |
| Sat 10/1 | Troy at Western Kentucky | +5.0W34–27 | 55.0 | W34–27 | O | Y |
| Sat 10/8 | Troy vs Southern Miss | -7.0W27–10 | 44.0 | W27–10 | U | Y |
| Sat 10/15 | Troy vs Texas State | -16.5W17–14 | 47.0 | W17–14 | U | N |
| Thu 10/20 | Troy at South Alabama | +3.0W10–6 | 47.0 | W10–6 | U | Y |
| — Bye Week — | ||||||
| Sat 11/5 | Troy at Louisiana | -3.5W23–17 | 42.5 | W23–17 | U | Y |
| Sat 11/12 | Troy vs Army | -8.5W10–9 | 45.5 | W10–9 | U | N |
| Sat 11/19 | Troy vs UL Monroe | -15.0W34–16 | 48.5 | W34–16 | O | Y |
| Sat 11/26 | Troy at Arkansas State | -13.5W48–19 | 43.5 | W48–19 | O | Y |
| Sat 12/3 | Troy vs Coastal Carolina | -7.0W45–26 | 49.0 | W45–26 | O | Y |
| Fri 12/16 | Troy vs UTSA | -2.0W18–12 | 55.5 | W18–12 | 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
Split
Metrics disagree
Elite · 82.4% ATS
PPA + PPO + Havoc
Split
Metrics disagree
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 · 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?
App State Edge
App State +1.50
CSS Edge (season-to-date)
Teams with this edge win 71.6% of games historically
Based on 2 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
App State Edge
App State +11.6
GC Edge (season-to-date)
Teams with this edge win 58.6% of games historically
Based on 2 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on App State. Teams with this edge profile have covered 50.3% historically — essentially a coin flip against the spread.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Troy
Jon Sumrall #1
0–0 (0%)
· Yr 1 at school
OC
Joe Craddock
Yr 1
#1
DC
Shiel Wood
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 ✓