Pittsburgh at Western Michigan Week 3 College Football Matchup Pittsburgh at Western Michigan Matchup - Week 3
Sat, Sep 17 2022 · Week 3 · 🏟 Waldo Stadium Kalamazoo, MI · Turf · 30,200 cap
Pittsburgh✈ 316 miSame TZ
34 13
Final
📊 Punt & Rally Projection
Pittsburgh
36
PITT -10
Western Michigan
12
P&R Line Pittsburgh -23.5
P&R Total O/U 47.5
Confidence 90 High
Vegas Pittsburgh -10 · O/U 46.0
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
75.9%
Pittsburgh wins
Solid
Vegas Spread
Pittsburgh -10
O/U 46.0
teamrankings
Advanced Stats
All 4 factors agree → Pittsburgh · 83.1% ATS historically when all four align
↓ See full breakdown
Pittsburgh 2022 Schedule
Pittsburgh's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Thu 9/1Pittsburgh vs West Virginia-7.5W38–3150.0W38–31ON
Sat 9/10Pittsburgh vs Tennessee+6.0L27–3463.0L27–34UN
Sat 9/17Pittsburgh at Western Michigan-10.0W34–1346.0W34–13OY
Sat 9/24Pittsburgh vs Rhode Island-32.5W45–2455.0W45–24ON
Sat 10/1Pittsburgh vs Georgia Tech-21.5L21–2647.0L21–26UN
Sat 10/8Pittsburgh vs Virginia Tech-14.5W45–2942.0W45–29OY
— Bye Week —
Sat 10/22Pittsburgh at Louisville+1.5L10–2455.0L10–24UN
Sat 10/29Pittsburgh at North Carolina+2.5L24–4265.5L24–42ON
Sat 11/5Pittsburgh vs Syracuse-3.5W19–947.5W19–9UY
Sat 11/12Pittsburgh at Virginia-5.5W37–741.5W37–7OY
Sat 11/19Pittsburgh vs Duke-6.5W28–2649.0W28–26ON
Sat 11/26Pittsburgh at Miami-5.5W42–1643.0W42–16OY
Fri 12/30Pittsburgh vs UCLA+9.0W37–3555.0W37–35OY
Western Michigan 2022 Schedule
Western Michigan's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Fri 9/2Western Michigan at Michigan State+22.0L13–3554.5L13–35UY
Sat 9/10Western Michigan at Ball State-6.5W37–3051.5W37–30OY
Sat 9/17Western Michigan vs Pittsburgh+10.0L13–3446.0L13–34ON
Sat 9/24Western Michigan at San José State+6.5L6–3449.0L6–34UN
Sat 10/1Western Michigan vs New Hampshire-15.0W44–752.5W44–7UY
Sat 10/8Western Michigan vs Eastern Michigan-4.5L23–4555.5L23–45ON
Sat 10/15Western Michigan vs Ohio-2.0L14–3361.5L14–33UN
Sat 10/22Western Michigan at Miami (OH)+7.0W16–1044.0W16–10UY
— Bye Week —
Wed 11/2Western Michigan at Bowling Green+5.0L9–1348.0L9–13UY
Wed 11/9Western Michigan vs Northern Illinois+1.0L21–2449.0L21–24UN
Wed 11/16Western Michigan at Central Michigan+10.0W12–1049.0W12–10UY
Fri 11/25Western Michigan vs Toledo+8.5W20–1450.5W20–14UY
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2022 season
Pittsburgh PPA Edge
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Pittsburgh
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Pittsburgh
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Pittsburgh
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Pittsburgh
+0.372
Western Michigan
+0.119
Pittsburgh Edge
PPA Passing
Pass efficiency edge · Strong predictor
Pittsburgh
+0.531
Western Michigan
+0.261
Pittsburgh Edge
Havoc Total
Def. disruption rate · Strong predictor
Pittsburgh
0.221
Western Michigan
0.209
TFLs, sacks, PBUs, forced fumbles — higher is better
Pittsburgh Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Pittsburgh
+7.227
Western Michigan
+6.410
Pittsburgh Edge
Success Rate
Play consistency edge · Solid predictor
Pittsburgh
+0.872
Western Michigan
+0.704
Pittsburgh Edge
Field Position
Avg start (lower=better) · Solid predictor
Pittsburgh
69.3
Western Michigan
71.3
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Pittsburgh Edge
Advanced stats sourced from CFBD · 2022 season · Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
Pittsburgh Rated Higher
Overall Power Rating
Pittsburgh
9.1
Western Michigan
-5.6
Offense Rating
Pittsburgh
19.3
Western Michigan
14.5
Defense Rating (lower = better defense)
Pittsburgh
10.2
Western Michigan
20.1
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum?
Avg sequences created per game
Pittsburgh #70
1.00
Western Michigan #118
1.00
Avg sequences allowed per game (lower is better)
Pittsburgh #40
1.50
Western Michigan #84
2.00
Pittsburgh +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Pittsburgh Edge
Avg GC score per game (offense)
Pittsburgh #1
36.0
Western Michigan #1
15.7
Avg GC score allowed per game (lower is better)
Pittsburgh #18
42.1
Western Michigan #111
62.9
Pittsburgh +20.3
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 2 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

CSS and GC disagree on this matchup. When the metrics split, historical cover rates are essentially random — treat this as a coin flip against the spread.

ATS data is informational only. Past cover rates do not guarantee future results.

Coaching Matchup
Pittsburgh
Pat Narduzzi #1
53–37 (59%) · Yr 8 at school
OC Frank Cignetti Jr. Yr 1 #1
DC Randy Bates Yr 2 #1
Staff Rating
0.00 #1
Western Michigan
Tim Lester #1
32–25 (56%) · Yr 6 at school
OC Eric Evans Yr 1 #1
DC Lou Esposito Yr 2 #1
Staff Rating
0.00 #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