Sun, Dec 24 2023
·
Postseason
·
Neutral Site
·
🏟 Clarence T.C. Ching Athletics Complex
Honolulu, HI
·
Turf
·
9,000 cap
Coastal Carolina✈ 4,793 mi-6 hr TZ
San José State✈ 2,412 mi-3 hr TZ
Matchup Prediction
San José State
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
San José State entering this game.
Momentum Control
58.4%
San José State wins
Lean
Game Control
58.6%
San José State wins
Lean
Vegas Spread
San José State -7.5
O/U 48.0
Bovada
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ 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 |
San José State 2023 Schedule
San José State's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/26 | San José State at USC | +31.5L28–56 | 66.0 | L28–56 | O | Y |
| Sun 9/3 | San José State vs Oregon State | +14.0L17–42 | 56.5 | L17–42 | O | N |
| Sat 9/9 | San José State vs Cal Poly | -23.5W59–3 | 60.0 | W59–3 | O | Y |
| Sat 9/16 | San José State at Toledo | +9.0L17–21 | 56.5 | L17–21 | U | Y |
| Fri 9/22 | San José State vs Air Force | +6.0L20–45 | 45.5 | L20–45 | O | N |
| — Bye Week — | ||||||
| Sat 10/7 | San José State at Boise State | +8.0L27–35 | 57.5 | L27–35 | O | Y |
| Sat 10/14 | San José State at New Mexico | -6.5W52–24 | 55.0 | W52–24 | O | Y |
| Sat 10/21 | San José State vs Utah State | -4.0W42–21 | 65.0 | W42–21 | U | Y |
| Sat 10/28 | San José State at Hawai'i | -10.5W35–0 | 57.0 | W35–0 | U | Y |
| — Bye Week — | ||||||
| Sat 11/11 | San José State vs Fresno State | -2.5W42–18 | 51.5 | W42–18 | O | Y |
| Sat 11/18 | San José State vs San Diego State | -16.5W24–13 | 48.5 | W24–13 | U | N |
| Sat 11/25 | San José State at UNLV | +3.5W37–31 | 58.5 | W37–31 | O | Y |
| Sat 12/23 | San José State vs Coastal Carolina | -7.5L14–24 | 48.0 | L14–24 | U | N |
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
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 · 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?
San José State Edge
San José State +0.91
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 11 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
San José State Edge
San José State +11.5
GC Edge (season-to-date)
Teams with this edge win 58.6% of games historically
Based on 12 games this season
Actual Result
CSS Battle
Tie
1 — 1 sequences
✗ Predicted incorrectly
GC Battle
Coastal Carolina
9.9 — 80.9 GC score
✗ Predicted incorrectly
Game Result
Coastal Carolina won by 10
✗ Model missed it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on San José 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
Coastal Carolina
Tim Beck* #1
2–1 (67%)
· Yr 1 at school
OC
Travis Trickett
Yr 1
#1
DC
Craig Naivar
Yr 1
#1
San José State
Brent Brennan #1
28–45 (38%)
· Yr 7 at school
OC
Kevin McGiven
Yr 3
#1
DC
Derrick Odum
Yr 3
#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 ✓