Sat, Oct 28 2023
·
Week 9
·
🏟 Alumni Stadium
Chestnut Hill, MA
·
Turf
·
44,500 cap
UConn✈ 84 miSame TZ
Matchup Prediction
Boston College
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Boston College entering this game.
Momentum Control
58.4%
Boston College wins
Lean
Game Control
58.6%
Boston College wins
Lean
Vegas Spread
Boston College -14.5
O/U 49.0
William Hill (New Jersey)
Advanced Stats
PPA + Success Rate agree → Boston College
· 73.9% ATS historically
↓ See full breakdown
UConn 2023 Schedule
UConn's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/31 | UConn vs NC State | +14.5L14–24 | 47.5 | L14–24 | U | Y |
| Sat 9/9 | UConn at Georgia State | +3.0L14–35 | 54.5 | L14–35 | U | N |
| Sat 9/16 | UConn vs Florida International | -7.0L17–24 | 43.0 | L17–24 | U | N |
| Sat 9/23 | UConn vs Duke | +22.0L7–41 | 45.0 | L7–41 | O | N |
| Sat 9/30 | UConn vs Utah State | +4.0L33–34 | 50.5 | L33–34 | O | Y |
| Sat 10/7 | UConn at Rice | +10.0W38–31 | 47.5 | W38–31 | O | Y |
| — Bye Week — | ||||||
| Sat 10/21 | UConn vs South Florida | -1.0L21–24 | 57.0 | L21–24 | U | N |
| Sat 10/28 | UConn at Boston College | +14.5L14–21 | 49.0 | L14–21 | U | Y |
| Sat 11/4 | UConn at Tennessee | +35.0L3–59 | 55.5 | L3–59 | O | N |
| Sat 11/11 | UConn at James Madison | +24.5L6–44 | 47.5 | L6–44 | O | N |
| Sat 11/18 | UConn vs Sacred Heart | -25.5W31–3 | 40.5 | W31–3 | U | Y |
| Sat 11/25 | UConn at Massachusetts | +2.5W31–18 | 51.0 | W31–18 | U | Y |
Boston College 2023 Schedule
Boston College's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Boston College vs Northern Illinois | -8.0L24–27 | 50.0 | L24–27 | O | N |
| Sat 9/9 | Boston College vs Holy Cross | -10.0W31–28 | 52.0 | W31–28 | O | N |
| Sat 9/16 | Boston College vs Florida State | +25.5L29–31 | 48.0 | L29–31 | O | Y |
| Sat 9/23 | Boston College at Louisville | +14.0L28–56 | 53.0 | L28–56 | O | N |
| Sat 9/30 | Boston College vs Virginia | -5.0W27–24 | 52.5 | W27–24 | U | N |
| Sat 10/7 | Boston College at Army | +2.5W27–24 | 47.0 | W27–24 | O | Y |
| — Bye Week — | ||||||
| Sat 10/21 | Boston College at Georgia Tech | +5.5W38–23 | 57.0 | W38–23 | O | Y |
| Sat 10/28 | Boston College vs UConn | -14.5W21–14 | 49.0 | W21–14 | U | N |
| Fri 11/3 | Boston College at Syracuse | +3.0W17–10 | 51.0 | W17–10 | U | Y |
| Sat 11/11 | Boston College vs Virginia Tech | +2.5L22–48 | 48.5 | L22–48 | O | N |
| Thu 11/16 | Boston College at Pittsburgh | +1.0L16–24 | 47.0 | L16–24 | U | N |
| Fri 11/24 | Boston College vs Miami | +13.5L20–45 | 50.5 | L20–45 | O | N |
| Thu 12/28 | Boston College vs SMU | +13.5W23–14 | 49.0 | W23–14 | U | 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
Split
Metrics disagree
Elite · 82.4% ATS
PPA + PPO + Havoc
Split
Metrics disagree
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Boston College
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?
Boston College Edge
Boston College +0.52
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 6 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Boston College Edge
Boston College +10.0
GC Edge (season-to-date)
Teams with this edge win 58.6% of games historically
Based on 7 games this season
Actual Result
CSS Battle
Boston College
1 — 0 sequences
✓ Predicted correctly
GC Battle
Boston College
61.9 — 16.2 GC score
✓ Predicted correctly
Game Result
Boston College won by 7
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Boston College. 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
UConn
Jim L. Mora #1
6–10 (38%)
· Yr 2 at school
OC
Nick Charlton
Yr 2
#1
DC
Lou Spanos
Yr 2
#1
Boston College
Jeff Hafley #1
16–22 (42%)
· Yr 4 at school
OC
Steve Shimko
Yr 1
#1
DC
Aazaar Abdul-Rahim
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 ✓