Sat, Nov 26 2022
·
Week 13
·
🏟 Lincoln Financial Field
Philadelphia, PA
·
Turf
·
68,532 cap
East Carolina✈ 320 miSame TZ
Matchup Prediction
East Carolina
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
East Carolina entering this game.
Momentum Control
61.3%
East Carolina wins
Lean
Game Control
75.9%
East Carolina wins
Solid
Vegas Spread
East Carolina -9.5
O/U 52.0
teamrankings
Advanced Stats
PPA + Success Rate agree → East Carolina
· 73.9% ATS historically
↓ See full breakdown
East Carolina 2022 Schedule
East Carolina's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | East Carolina vs NC State | +12.5L20–21 | 52.0 | L20–21 | U | Y |
| Sat 9/10 | East Carolina vs Old Dominion | -13.0W39–21 | 49.5 | W39–21 | O | Y |
| Sat 9/17 | East Carolina vs Campbell | -32.5W49–10 | 58.0 | W49–10 | O | Y |
| Sat 9/24 | East Carolina vs Navy | -16.5L20–23 | 48.5 | L20–23 | U | N |
| Sat 10/1 | East Carolina vs South Florida | -10.0W48–28 | 55.5 | W48–28 | O | Y |
| Sat 10/8 | East Carolina at Tulane | +2.5L9–24 | 56.0 | L9–24 | U | N |
| Sat 10/15 | East Carolina vs Memphis | -5.5W47–45 | 62.5 | W47–45 | O | N |
| Sat 10/22 | East Carolina vs UCF | +5.5W34–13 | 63.0 | W34–13 | U | Y |
| Fri 10/28 | East Carolina at BYU | +3.0W27–24 | 64.0 | W27–24 | U | Y |
| — Bye Week — | ||||||
| Fri 11/11 | East Carolina at Cincinnati | +4.5L25–27 | 51.5 | L25–27 | O | Y |
| Sat 11/19 | East Carolina vs Houston | -6.0L3–42 | 66.5 | L3–42 | U | N |
| Sat 11/26 | East Carolina at Temple | -9.5W49–46 | 52.0 | W49–46 | O | N |
| Tue 12/27 | East Carolina vs Coastal Carolina | -7.0W53–29 | 67.5 | W53–29 | O | Y |
Temple 2022 Schedule
Temple's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Fri 9/2 | Temple at Duke | +9.5L0–30 | 51.5 | L0–30 | U | N |
| Sat 9/10 | Temple vs Lafayette | -13.5W30–14 | 39.5 | W30–14 | O | Y |
| Sat 9/17 | Temple vs Rutgers | +18.0L14–16 | 42.5 | L14–16 | U | Y |
| Sat 9/24 | Temple vs Massachusetts | -10.0W28–0 | 44.0 | W28–0 | U | Y |
| Sat 10/1 | Temple at Memphis | +18.5L3–24 | 50.0 | L3–24 | U | N |
| — Bye Week — | ||||||
| Thu 10/13 | Temple at UCF | +23.5L13–70 | 46.5 | L13–70 | O | N |
| Fri 10/21 | Temple vs Tulsa | +13.5L16–27 | 53.5 | L16–27 | U | Y |
| Sat 10/29 | Temple at Navy | +14.5L20–27 | 41.5 | L20–27 | O | Y |
| Sat 11/5 | Temple vs South Florida | +3.5W54–28 | 49.0 | W54–28 | O | Y |
| Sat 11/12 | Temple at Houston | +20.0L36–43 | 56.0 | L36–43 | O | Y |
| Sat 11/19 | Temple vs Cincinnati | +17.0L3–23 | 48.5 | L3–23 | U | N |
| Sat 11/26 | Temple vs East Carolina | +9.5L46–49 | 52.0 | L46–49 | O | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2022 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
→ East Carolina
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 · 2022 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?
East Carolina Edge
East Carolina +0.29
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 10 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
East Carolina Edge
East Carolina +20.6
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 11 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on East Carolina 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
East Carolina
Mike Houston #1
14–19 (42%)
· Yr 4 at school
OC
Donnie Kirkpatrick
Yr 2
#1
DC
Blake Harrell
Yr 2
#1
Temple
Stan Drayton #1
0–0 (0%)
· Yr 1 at school
OC
Danny Langsdorf
Yr 1
#1
DC
D. J. Eliot
Yr 1
#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 ✓