Sat, Sep 9 2023
·
Week 2
·
🏟 Husky Stadium
Seattle, WA
·
Turf
·
70,500 cap
Tulsa✈ 1,559 mi-2 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
76%
Washington wins
Strong
Vegas Spread
Washington -34
O/U 66.5
William Hill (New Jersey)
Advanced Stats
All 4 factors agree → Washington
· 83.1% ATS historically when all four align
↓ See full breakdown
Tulsa 2023 Schedule
Tulsa's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/31 | Tulsa vs Arkansas-Pine Bluff | -41.0W42–7 | 52.5 | W42–7 | U | N |
| Sat 9/9 | Tulsa at Washington | +34.0L10–43 | 66.5 | L10–43 | U | Y |
| Sat 9/16 | Tulsa vs Oklahoma | +28.0L17–66 | 58.5 | L17–66 | O | N |
| Sat 9/23 | Tulsa at Northern Illinois | +3.5W22–14 | 54.5 | W22–14 | U | Y |
| Thu 9/28 | Tulsa vs Temple | -3.0W48–26 | 56.0 | W48–26 | O | Y |
| Sat 10/7 | Tulsa at Florida Atlantic | +3.0L17–20 | 54.5 | L17–20 | U | Y |
| — Bye Week — | ||||||
| Thu 10/19 | Tulsa vs Rice | -3.0L10–42 | 56.5 | L10–42 | U | N |
| Sat 10/28 | Tulsa at SMU | +20.5L10–69 | 55.0 | L10–69 | O | N |
| Sat 11/4 | Tulsa vs Charlotte | -4.5L26–33 | 47.5 | L26–33 | O | N |
| Sat 11/11 | Tulsa at Tulane | +24.5L22–24 | 52.5 | L22–24 | U | Y |
| Sat 11/18 | Tulsa vs North Texas | +1.5L28–35 | 69.5 | L28–35 | U | N |
| Sat 11/25 | Tulsa at East Carolina | +4.5W29–27 | 44.5 | W29–27 | O | Y |
Washington 2023 Schedule
Washington's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Washington vs Boise State | -14.0W56–19 | 59.0 | W56–19 | O | Y |
| Sat 9/9 | Washington vs Tulsa | -34.0W43–10 | 66.5 | W43–10 | U | N |
| Sat 9/16 | Washington at Michigan State | -14.5W41–7 | 57.0 | W41–7 | U | Y |
| Sat 9/23 | Washington vs California | -21.0W59–32 | 55.5 | W59–32 | O | Y |
| Sat 9/30 | Washington at Arizona | -20.0W31–24 | 66.0 | W31–24 | U | N |
| — Bye Week — | ||||||
| Sat 10/14 | Washington vs Oregon | -3.0W36–33 | 67.0 | W36–33 | O | N |
| Sat 10/21 | Washington vs Arizona State | -28.0W15–7 | 59.5 | W15–7 | U | N |
| Sat 10/28 | Washington at Stanford | -27.5W42–33 | 62.0 | W42–33 | O | N |
| Sat 11/4 | Washington at USC | -3.0W52–42 | 76.0 | W52–42 | O | Y |
| Sat 11/11 | Washington vs Utah | -9.5W35–28 | 48.5 | W35–28 | O | N |
| Sat 11/18 | Washington at Oregon State | +1.5W22–20 | 62.5 | W22–20 | U | Y |
| Sat 11/25 | Washington vs Washington State | -16.0W24–21 | 68.5 | W24–21 | U | N |
| Fri 12/1 | Washington vs Oregon | +9.0W34–31 | 67.0 | W34–31 | U | Y |
| Mon 1/1 | Washington vs Texas | +3.0W37–31 | 61.5 | W37–31 | O | Y |
| Mon 1/8 | Washington vs Michigan | +5.5L13–34 | 55.5 | L13–34 | 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
All 4 Agree
→ Washington
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Washington
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Washington
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?
Tulsa Edge
Tulsa +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 1 game this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Washington Edge
Washington +23.0
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 1 game this season
Actual Result
CSS Battle
Washington
1 — 0 sequences
✗ Predicted incorrectly
GC Battle
Washington
90.0 — 5.3 GC score
✓ Predicted correctly
Game Result
Washington won by 33
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Washington with a large edge. Historically, dominant teams like this are fully priced into the spread — the agreed-upon team covers just 50.2% of the time. The metrics predict game control better than they beat the number.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Tulsa
Kevin Wilson #1
1–2 (33%)
· Yr 1 at school
OC
Steve Spurrier Jr.
Yr 1
#1
DC
Chris Polizzi
Yr 1
#1
Washington
Kalen DeBoer #1
14–2 (88%)
· Yr 2 at school
OC
Ryan Grubb
Yr 2
#1
DC
William Inge
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: 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 ✓