Sat, Sep 9 2023
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Week 2
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🏟 Alumni Stadium
Chestnut Hill, MA
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Turf
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44,500 cap
Preseason projection — This game has not yet been played and 2023 in-season data is not yet available.
Edges are based on 2022 full-season performance.
Confidence will increase once in-season games are logged.
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
58.3%
Holy Cross wins
Lean
Vegas Spread
Boston College -10
O/U 52.0
William Hill (New Jersey)
Holy Cross 2023 Schedule
Holy Cross's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/9 | Holy Cross at Boston College | +10.0L28–31 | 52.0 | L28–31 | O | Y |
| — Bye Week — | ||||||
| Sat 11/11 | Holy Cross at Army | +11.5L14–17 | 55.5 | L14–17 | 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 |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Holy Cross Edge
Holy Cross +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2022 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Holy Cross Edge
Holy Cross +9.7
GC Edge (season-to-date)
Teams with this edge win 58.3% of games historically
Based on 2022 full season · preseason estimate
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 ✓