Sat, Sep 10 2022
·
Week 2
·
🏟 UB Stadium
Amherst, NY
·
Turf
·
29,013 cap
Holy Cross✈ 357 miSame TZ
Preseason projection — This game has not yet been played and 2022 in-season data is not yet available.
Edges are based on 2021 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
Buffalo -6
O/U 51.5
consensus
Holy Cross 2022 Schedule
Holy Cross's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/10 | Holy Cross at Buffalo | +6.0W37–31 | 51.5 | W37–31 | O | Y |
Buffalo 2022 Schedule
Buffalo's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | Buffalo at Maryland | +24.0L10–31 | 66.0 | L10–31 | U | Y |
| Sat 9/10 | Buffalo vs Holy Cross | -6.0L31–37 | 51.5 | L31–37 | O | N |
| Sat 9/17 | Buffalo at Coastal Carolina | +12.0L26–38 | 60.0 | L26–38 | O | Y |
| Sat 9/24 | Buffalo at Eastern Michigan | +6.5W50–31 | 57.5 | W50–31 | O | Y |
| Sat 10/1 | Buffalo vs Miami (OH) | -3.0W24–20 | 50.0 | W24–20 | U | Y |
| Sat 10/8 | Buffalo at Bowling Green | -2.0W38–7 | 55.5 | W38–7 | U | Y |
| Sat 10/15 | Buffalo at Massachusetts | -17.0W34–7 | 47.5 | W34–7 | U | Y |
| Sat 10/22 | Buffalo vs Toledo | +7.0W34–27 | 56.0 | W34–27 | O | Y |
| — Bye Week — | ||||||
| Tue 11/1 | Buffalo at Ohio | -2.5L24–45 | 61.0 | L24–45 | O | N |
| Wed 11/9 | Buffalo at Central Michigan | +3.0L27–31 | 54.0 | L27–31 | O | N |
| Sat 11/19 | Buffalo vs Akron | -14.0 | 43.5 | — | — | — |
| Sat 11/26 | Buffalo vs Kent State | -4.5L27–30 | 51.0 | L27–30 | O | N |
| Fri 12/2 | Buffalo vs Akron | -12.0W23–22 | 55.0 | W23–22 | U | N |
| Tue 12/27 | Buffalo vs Georgia Southern | +6.0W23–21 | 67.0 | W23–21 | 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 2021 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Holy Cross Edge
Holy Cross +7.8
GC Edge (season-to-date)
Teams with this edge win 58.3% of games historically
Based on 2021 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: CSS is not a predictive 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: GS is not a predictive 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: CSS is not a predictive 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: GS is not a predictive 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 ✓