Sat, Oct 31 2026
·
Week 9
·
🏟 Dowdy-Ficklen Stadium
Greenville, NC
·
Turf
·
50,000 cap
Temple✈ 320 miSame TZ
Preseason projection — This game has not yet been played and 2026 in-season data is not yet available.
Edges are based on 2025 full-season performance.
Confidence will increase once in-season games are logged.
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
71.6%
East Carolina wins
Solid
Game Control
76%
East Carolina wins
Strong
Advanced Stats
All 4 factors agree → East Carolina
· 83.1% ATS historically when all four align
↓ See full breakdown
Temple 2026 Schedule
Temple's 2026 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/5 | Temple vs Rhode Island | -17 | — | — | — | — |
| Sat 9/12 | Temple vs Penn State | +16 | — | — | — | — |
| Sat 9/19 | Temple at Toledo | +3 | — | — | — | — |
| Sat 9/26 | Temple vs Army | +2 | — | — | — | — |
| Sat 10/3 | Temple at South Florida | +8.5 | — | — | — | — |
| Sat 10/10 | Temple vs UConn | -3.5 | — | — | — | — |
| Sat 10/17 | Temple vs Charlotte | -22 | — | — | — | — |
| — Bye Week — | ||||||
| Sat 10/31 | Temple at East Carolina | +8.5 | — | — | — | — |
| Sat 11/7 | Temple at Navy | +8.5 | — | — | — | — |
| Sat 11/14 | Temple vs UAB | -13.5 | — | — | — | — |
| Thu 11/19 | Temple vs Rice | -12 | — | — | — | — |
| Fri 11/27 | Temple at Memphis | +10 | — | — | — | — |
East Carolina 2026 Schedule
East Carolina's 2026 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/5 | East Carolina at Alabama | +20.5 | — | — | — | — |
| Sat 9/12 | East Carolina vs App State | -13 | — | — | — | — |
| Sat 9/19 | East Carolina at Old Dominion | -0.5 | — | — | — | — |
| Sat 9/26 | East Carolina vs North Carolina Central | -23 | — | — | — | — |
| — Bye Week — | ||||||
| Sat 10/10 | East Carolina vs Rice | -18 | — | — | — | — |
| Thu 10/15 | East Carolina at UAB | -14.5 | — | — | — | — |
| Thu 10/22 | East Carolina at Memphis | +4 | — | — | — | — |
| Sat 10/31 | East Carolina vs Temple | -8.5 | — | — | — | — |
| Fri 11/6 | East Carolina vs South Florida | -2.5 | — | — | — | — |
| Sat 11/14 | East Carolina at Charlotte | -23 | — | — | — | — |
| Sat 11/21 | East Carolina at Army | +1 | — | — | — | — |
| Fri 11/27 | East Carolina vs Florida Atlantic | -9 | — | — | — | — |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2025 season (prior year)
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ East Carolina
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ East Carolina
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 · 2025 season (prior year — 2026 data not yet available) ·
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 +1.04
CSS Edge (season-to-date)
Teams with this edge win 71.6% of games historically
Based on 2025 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
East Carolina Edge
East Carolina +22.6
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2025 full season · preseason estimate
Coaching Matchup
Temple
K. C. Keeler #36
5–7 (42%)
· Yr 2 at school
OC
Tyler Walker
Yr 2
#45
DC
Brian Smith
Yr 2
#135
East Carolina
Blake Harrell #61
14–5 (74%)
· Yr 3 at school
OC
Jordan Davis
Yr 1
#7
DC
Jordan Hankins
Yr 1
#68
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 ✓