Sat, Sep 2 2023
·
Week 1
·
🏟 Canvas Stadium
Fort Collins, CO
·
Turf
·
41,000 cap
Washington State✈ 737 mi+1 hr TZ
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
50.6%
—
Toss-up
Vegas Spread
Washington State -9.5
O/U 54.0
Caesars Sportsbook (Colorado)
Advanced Stats
PPA + Success Rate agree → Washington State
· 73.9% ATS historically
↓ See full breakdown
Washington State 2023 Schedule
Washington State's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Washington State at Colorado State | -9.5W50–24 | 54.0 | W50–24 | O | Y |
| Sat 9/9 | Washington State vs Wisconsin | +5.0W31–22 | 58.0 | W31–22 | U | Y |
| Sat 9/16 | Washington State vs Northern Colorado | -48.0W64–21 | 55.0 | W64–21 | O | N |
| Sat 9/23 | Washington State vs Oregon State | +3.0W38–35 | 58.5 | W38–35 | O | Y |
| — Bye Week — | ||||||
| Sat 10/7 | Washington State at UCLA | +3.0L17–25 | 60.0 | L17–25 | U | N |
| Sat 10/14 | Washington State vs Arizona | -7.5L6–44 | 57.5 | L6–44 | U | N |
| Sat 10/21 | Washington State at Oregon | +19.5L24–38 | 60.5 | L24–38 | O | Y |
| Sat 10/28 | Washington State at Arizona State | -4.5L27–38 | 49.0 | L27–38 | O | N |
| Sat 11/4 | Washington State vs Stanford | -13.0L7–10 | 59.5 | L7–10 | U | N |
| Sat 11/11 | Washington State at California | +1.5L39–42 | 58.5 | L39–42 | O | N |
| Fri 11/17 | Washington State vs Colorado | -4.5W56–14 | 59.5 | W56–14 | O | Y |
| Sat 11/25 | Washington State at Washington | +16.0L21–24 | 68.5 | L21–24 | U | Y |
Colorado State 2023 Schedule
Colorado State's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Colorado State vs Washington State | +9.5L24–50 | 54.0 | L24–50 | O | N |
| — Bye Week — | ||||||
| Sat 9/16 | Colorado State at Colorado | +23.0L35–43 | 63.0 | L35–43 | O | Y |
| Sat 9/23 | Colorado State at Middle Tennessee | +3.5W31–23 | 50.0 | W31–23 | O | Y |
| Sat 9/30 | Colorado State vs Utah Tech | -19 | — | — | — | — |
| Sat 10/7 | Colorado State at Utah State | -3.0L24–44 | 62.0 | L24–44 | O | N |
| Sat 10/14 | Colorado State vs Boise State | +7.5W31–30 | 60.0 | W31–30 | O | Y |
| Sat 10/21 | Colorado State at UNLV | +6.5L23–25 | 60.0 | L23–25 | U | Y |
| Sat 10/28 | Colorado State vs Air Force | +14.5L13–30 | 47.0 | L13–30 | U | N |
| Fri 11/3 | Colorado State at Wyoming | +6.0L15–24 | 41.0 | L15–24 | U | N |
| Sat 11/11 | Colorado State vs San Diego State | -3.5W22–19 | 46.5 | W22–19 | U | N |
| Sat 11/18 | Colorado State vs Nevada | -12.5W30–20 | 45.5 | W30–20 | O | N |
| Sat 11/25 | Colorado State at Hawai'i | -6.0L24–27 | 54.0 | L24–27 | 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
Both Agree
→ Washington State
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?
Washington State Edge
Washington State +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 0 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Washington State Edge
Washington State +0.0
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 0 games this season
Actual Result
CSS Battle
Tie
1 — 1 sequences
✗ Predicted incorrectly
GC Battle
Washington State
7.3 — 78.1 GC score
✗ Predicted incorrectly
Game Result
Washington State won by 26
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Colorado State, but the GC edge is small. When metrics agree but GC is near-neutral, the agreed-upon team has covered only 46.7% of the time historically (n=224) — potentially a fade signal.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Washington State
Jake Dickert #1
13–9 (59%)
· Yr 3 at school
OC
Ben Arbuckle
Yr 1
#1
DC
Jeff Schmedding
Yr 1
#1
Colorado State
Jay Norvell #1
3–11 (21%)
· Yr 2 at school
OC
Matt Mumme
Yr 2
#1
DC
Freddie Banks
Yr 2
#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: 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 ✓