Sun, Sep 3 2023
·
Week 1
·
🏟 Rose Bowl
Pasadena, CA
·
Turf
·
92,542 cap
Coastal Carolina✈ 2,229 mi-3 hr 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
UCLA -15.5
O/U 66.5
William Hill (New Jersey)
Advanced Stats
All 4 factors agree → UCLA
· 83.1% ATS historically when all four align
↓ See full breakdown
Coastal Carolina 2023 Schedule
Coastal Carolina's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Coastal Carolina at UCLA | +15.5L13–27 | 66.5 | L13–27 | U | Y |
| Sat 9/9 | Coastal Carolina vs Jacksonville State | -13.5W30–16 | 61.0 | W30–16 | U | Y |
| Sat 9/16 | Coastal Carolina vs Duquesne | -35.0W66–7 | 55.5 | W66–7 | O | Y |
| Thu 9/21 | Coastal Carolina vs Georgia State | -4.5L17–30 | 62.5 | L17–30 | U | N |
| Sat 9/30 | Coastal Carolina at Georgia Southern | +6.0L28–38 | 67.5 | L28–38 | U | N |
| — Bye Week — | ||||||
| Tue 10/10 | Coastal Carolina at App State | +4.5W27–24 | 59.0 | W27–24 | U | Y |
| Sat 10/21 | Coastal Carolina at Arkansas State | -8.5W27–17 | 59.0 | W27–17 | U | Y |
| Sat 10/28 | Coastal Carolina vs Marshall | +3.5W34–6 | 47.0 | W34–6 | U | Y |
| Sat 11/4 | Coastal Carolina at Old Dominion | -1.0W28–24 | 51.0 | W28–24 | O | Y |
| Sat 11/11 | Coastal Carolina vs Texas State | +2.5W31–23 | 55.5 | W31–23 | U | Y |
| Sat 11/18 | Coastal Carolina at Army | -1.5L21–28 | 40.5 | L21–28 | O | N |
| Sat 11/25 | Coastal Carolina vs James Madison | +9.5L14–56 | 50.5 | L14–56 | O | N |
| Sat 12/23 | Coastal Carolina vs San José State | +7.5W24–14 | 48.0 | W24–14 | U | Y |
UCLA 2023 Schedule
UCLA's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | UCLA vs Coastal Carolina | -15.5W27–13 | 66.5 | W27–13 | U | N |
| Sat 9/9 | UCLA at San Diego State | -13.0W35–10 | 49.0 | W35–10 | U | Y |
| Sat 9/16 | UCLA vs North Carolina Central | -35.0W59–7 | 60.5 | W59–7 | O | Y |
| Sat 9/23 | UCLA at Utah | +3.0L7–14 | 50.5 | L7–14 | U | N |
| — Bye Week — | ||||||
| Sat 10/7 | UCLA vs Washington State | -3.0W25–17 | 60.0 | W25–17 | U | Y |
| Sat 10/14 | UCLA at Oregon State | +3.5L24–36 | 53.5 | L24–36 | O | N |
| Sat 10/21 | UCLA at Stanford | -17.0W42–7 | 52.0 | W42–7 | U | Y |
| Sat 10/28 | UCLA vs Colorado | -14.0W28–16 | 60.0 | W28–16 | U | N |
| Sat 11/4 | UCLA at Arizona | -2.5L10–27 | 50.0 | L10–27 | U | N |
| Sat 11/11 | UCLA vs Arizona State | -14.0L7–17 | 45.5 | L7–17 | U | N |
| Sat 11/18 | UCLA at USC | +6.0W38–20 | 65.5 | W38–20 | U | Y |
| Sat 11/25 | UCLA vs California | -9.5L7–33 | 50.5 | L7–33 | U | N |
| Sat 12/16 | UCLA vs Boise State | -6.5W35–22 | 46.0 | W35–22 | O | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2023 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ UCLA
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ UCLA
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ UCLA
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 · 2023 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?
Coastal Carolina Edge
Coastal 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?
Coastal Carolina Edge
Coastal 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
UCLA
1 — 0 sequences
✗ Predicted incorrectly
GC Battle
UCLA
71.0 — 11.9 GC score
✗ Predicted incorrectly
Game Result
UCLA won by 14
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on UCLA, 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
Coastal Carolina
Tim Beck* #1
2–1 (67%)
· Yr 1 at school
OC
Travis Trickett
Yr 1
#1
DC
Craig Naivar
Yr 1
#1
UCLA
Chip Kelly #1
30–29 (51%)
· Yr 6 at school
OC
Chip Kelly
Yr 2
#1
DC
D'Anton Lynn
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 ✓