Arizona State at USC Week 5 College Football Matchup Arizona State at USC Matchup - Week 5
Sun, Oct 2 2022 · Week 5 · 🏟 Los Angeles Memorial Coliseum Los Angeles, CA · Turf · 93,607 cap
Arizona State✈ 367 miSame TZ
25 42
Final
USC
Home
📊 Punt & Rally Projection
Arizona State
19
USC -24.5
USC
44
P&R Line USC -25.5
P&R Total O/U 62.5
Confidence 86 High
Vegas USC -24.5 · O/U 61.0
Matchup Prediction
USC has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor USC entering this game.
Momentum Control
71.6%
USC wins
Solid
Game Control
76%
USC wins
Strong
Vegas Spread
USC -24.5
O/U 61.0
teamrankings
Advanced Stats
PPA + Success Rate agree → USC · 73.9% ATS historically
↓ See full breakdown
Arizona State 2022 Schedule
Arizona State's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Thu 9/1Arizona State vs Northern Arizona-25.5W40–352.5W40–3UY
Sat 9/10Arizona State at Oklahoma State+12.0L17–3458.5L17–34UN
Sat 9/17Arizona State vs Eastern Michigan-20.5L21–3056.5L21–30UN
Sat 9/24Arizona State vs Utah+16.5L13–3454.0L13–34UN
Sat 10/1Arizona State at USC+24.5L25–4261.0L25–42OY
Sat 10/8Arizona State vs Washington+13.5W45–3856.0W45–38OY
— Bye Week —
Sat 10/22Arizona State at Stanford+3.0L14–1552.0L14–15UY
Sat 10/29Arizona State at Colorado-13.0W42–3449.0W42–34ON
Sat 11/5Arizona State vs UCLA+11.0L36–5066.5L36–50ON
Sat 11/12Arizona State at Washington State+9.5L18–2859.5L18–28UN
Sat 11/19Arizona State vs Oregon State+7.5L7–3153.5L7–31UN
Fri 11/25Arizona State at Arizona+4.0L35–3866.5L35–38OY
USC 2022 Schedule
USC's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/3USC vs Rice-33.0W66–1461.5W66–14OY
Sat 9/10USC at Stanford-9.5W41–2866.5W41–28OY
Sat 9/17USC vs Fresno State-11.0W45–1771.0W45–17UY
Sat 9/24USC at Oregon State-5.5W17–1470.5W17–14UN
Sat 10/1USC vs Arizona State-24.5W42–2561.0W42–25ON
Sat 10/8USC vs Washington State-12.5W30–1464.5W30–14UY
Sat 10/15USC at Utah+3.5L42–4365.0L42–43OY
— Bye Week —
Sat 10/29USC at Arizona-14.0W45–3774.0W45–37ON
Sat 11/5USC vs California-21.5W41–3560.5W41–35ON
Fri 11/11USC vs Colorado-34.0W55–1766.0W55–17OY
Sat 11/19USC at UCLA-2.5W48–4576.5W48–45OY
Sat 11/26USC vs Notre Dame-4.0W38–2763.5W38–27OY
Fri 12/2USC vs Utah-3.0L24–4767.5L24–47ON
Mon 1/2USC vs Tulane-1.5L45–4667.0L45–46ON
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2022 season
USC PPA Edge
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
Both Agree
→ USC
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Arizona State
+0.516
USC
+0.667
USC Edge
PPA Passing
Pass efficiency edge · Strong predictor
Arizona State
+0.622
USC
+0.724
USC Edge
Havoc Total
Def. disruption rate · Strong predictor
Arizona State
0.169
USC
0.168
TFLs, sacks, PBUs, forced fumbles — higher is better
Arizona State Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Arizona State
+8.767
USC
+9.082
USC Edge
Success Rate
Play consistency edge · Solid predictor
Arizona State
+0.927
USC
+0.986
USC Edge
Field Position
Avg start (lower=better) · Solid predictor
Arizona State
73.7
USC
71.8
Avg yards from own endzone to average start — lower is better · longer bar = better field position
USC Edge
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
USC Rated Higher
Overall Power Rating
Arizona State
7.2
USC
16.9
Offense Rating
Arizona State
21.2
USC
26.2
Defense Rating (lower = better defense)
Arizona State
14.0
USC
9.3
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? USC Edge
Avg sequences created per game
Arizona State #88
0.00
USC #10
1.50
Avg sequences allowed per game (lower is better)
Arizona State #79
1.67
USC #59
0.50
USC +1.50
CSS Edge (season-to-date)
Teams with this edge win 71.6% of games historically
Based on 4 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? USC Edge
Avg GC score per game (offense)
Arizona State #1
38.2
USC #1
79.1
Avg GC score allowed per game (lower is better)
Arizona State #114
53.4
USC #5
11.6
USC +41.0
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 4 games this season
Actual Result
CSS Battle
USC
1 — 0 sequences
✓ Predicted correctly
GC Battle
USC
94.8 — 2.3 GC score
✓ Predicted correctly
Game Result
USC won by 17
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on USC with a large edge. Historically, dominant teams like this are fully priced into the spread — the agreed-upon team covers just 50.2% of the time. The metrics predict game control better than they beat the number.

ATS data is informational only. Past cover rates do not guarantee future results.

Coaching Matchup
Arizona State
Herm Edwards #1
25–18 (58%) · Yr 5 at school
OC Glenn Thomas Yr 1 #1
DC Donnie Henderson Yr 1 #1
Staff Rating
0.00 #1
USC
Lincoln Riley #1
0–0 (0%) · Yr 1 at school
OC Josh Henson Yr 1 #1
DC Alex Grinch Yr 1 #1
Staff Rating
0.00 #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