Sun, Sep 18 2022
·
Week 3
·
Neutral Site
·
🏟 Providence Park
Portland, OR
·
Turf
·
19,566 cap
Montana State✈ 562 mi-1 hr 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
58.6%
Oregon State wins
Lean
Vegas Spread
Oregon State -16.5
O/U 56.5
consensus
Montana State 2022 Schedule
Montana State's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/17 | Montana State vs Oregon State | +16.5L28–68 | 56.5 | L28–68 | O | N |
Oregon State 2022 Schedule
Oregon State's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | Oregon State vs Boise State | -2.0W34–17 | 55.5 | W34–17 | U | Y |
| Sat 9/10 | Oregon State at Fresno State | +1.0W35–32 | 59.0 | W35–32 | O | Y |
| Sat 9/17 | Oregon State vs Montana State | -16.5W68–28 | 56.5 | W68–28 | O | Y |
| Sat 9/24 | Oregon State vs USC | +5.5L14–17 | 70.5 | L14–17 | U | Y |
| Sat 10/1 | Oregon State at Utah | +10.5L16–42 | 54.0 | L16–42 | O | N |
| Sat 10/8 | Oregon State at Stanford | -4.5W28–27 | 53.0 | W28–27 | O | N |
| Sat 10/15 | Oregon State vs Washington State | -3.0W24–10 | 51.5 | W24–10 | U | Y |
| Sat 10/22 | Oregon State vs Colorado | -23.0W42–9 | 47.5 | W42–9 | O | Y |
| — Bye Week — | ||||||
| Fri 11/4 | Oregon State at Washington | +4.5L21–24 | 53.5 | L21–24 | U | Y |
| Sat 11/12 | Oregon State vs California | -11.5W38–10 | 47.0 | W38–10 | O | Y |
| Sat 11/19 | Oregon State at Arizona State | -7.5W31–7 | 53.5 | W31–7 | U | Y |
| Sat 11/26 | Oregon State vs Oregon | -1.0W38–34 | 57.0 | W38–34 | O | Y |
| Sat 12/17 | Oregon State vs Florida | -7.5W30–3 | 52.0 | W30–3 | U | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Montana State Edge
Montana State +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?
Oregon State Edge
Oregon State +10.3
GC Edge (season-to-date)
Teams with this edge win 58.6% 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 ✓

