Sat, Oct 2 2021
·
Week 5
·
🏟 Warren McGuirk Alumni Stadium
Hadley, MA
·
Turf
·
17,000 cap
Toledo✈ 570 miSame TZ
Matchup Prediction
Toledo
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Toledo entering this game.
Momentum Control
73.7%
Toledo wins
Solid
Game Control
75.9%
Toledo wins
Solid
Vegas Spread
Toledo -26.5
O/U 56.5
teamrankings
Advanced Stats
All 4 factors agree → Toledo
· 83.1% ATS historically when all four align
↓ See full breakdown
Toledo 2021 Schedule
Toledo's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | Toledo vs Norfolk State | -39.5W49–10 | 56.0 | W49–10 | O | N |
| Sat 9/11 | Toledo at Notre Dame | +16.5L29–32 | 55.0 | L29–32 | O | Y |
| Sat 9/18 | Toledo vs Colorado State | -14.5L6–22 | 59.0 | L6–22 | U | N |
| Sat 9/25 | Toledo at Ball State | -4.5W22–12 | 56.5 | W22–12 | U | Y |
| Sat 10/2 | Toledo at Massachusetts | -26.5W45–7 | 56.5 | W45–7 | U | Y |
| Sat 10/9 | Toledo vs Northern Illinois | -13.0L20–22 | 51.5 | L20–22 | U | N |
| Sat 10/16 | Toledo at Central Michigan | -5.0L23–26 | 53.0 | L23–26 | U | N |
| Sat 10/23 | Toledo vs Western Michigan | +1.5W34–15 | 54.5 | W34–15 | U | Y |
| — Bye Week — | ||||||
| Tue 11/2 | Toledo vs Eastern Michigan | -9.0L49–52 | 54.5 | L49–52 | O | N |
| Wed 11/10 | Toledo at Bowling Green | -10.5W49–17 | 50.0 | W49–17 | O | Y |
| Tue 11/16 | Toledo at Ohio | -7.5W35–23 | 57.5 | W35–23 | O | Y |
| Sat 11/27 | Toledo vs Akron | -28.5W49–14 | 57.5 | W49–14 | O | Y |
| Fri 12/17 | Toledo vs Middle Tennessee | -10.0L24–31 | 50.0 | L24–31 | O | N |
Massachusetts 2021 Schedule
Massachusetts's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | Massachusetts at Pittsburgh | +38.0L7–51 | 56.0 | L7–51 | O | N |
| Sat 9/11 | Massachusetts vs Boston College | +39.0L28–45 | 57.0 | L28–45 | O | Y |
| Sat 9/18 | Massachusetts vs Eastern Michigan | +22.0L28–42 | 56.5 | L28–42 | O | Y |
| Sat 9/25 | Massachusetts at Coastal Carolina | +36.0L3–53 | 66.0 | L3–53 | U | N |
| Sat 10/2 | Massachusetts vs Toledo | +26.5L7–45 | 56.5 | L7–45 | U | N |
| Sat 10/9 | Massachusetts vs UConn | +3.0W27–13 | 57.0 | W27–13 | U | Y |
| — Bye Week — | ||||||
| Sat 10/23 | Massachusetts at Florida State | +35.0L3–59 | 59.0 | L3–59 | O | N |
| Sat 10/30 | Massachusetts at Liberty | +35.5L17–62 | 56.0 | L17–62 | O | N |
| Sat 11/6 | Massachusetts vs Rhode Island | -2.5L22–35 | 55.5 | L22–35 | O | N |
| Sat 11/13 | Massachusetts vs Maine | +6.0L10–35 | 58.5 | L10–35 | U | N |
| Sat 11/20 | Massachusetts at Army | +37.5L17–33 | 56.0 | L17–33 | U | Y |
| Sat 11/27 | Massachusetts at New Mexico State | +7.0L27–44 | 58.5 | L27–44 | O | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2021 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Toledo
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Toledo
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Toledo
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 · 2021 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?
Toledo Edge
Toledo +1.00
CSS Edge (season-to-date)
Teams with this edge win 73.7% of games historically
Based on 4 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Toledo Edge
Toledo +59.5
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 4 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Toledo 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
Toledo
Jason Candle #1
39–23 (63%)
· Yr 6 at school
OC
Mike Hallett
Yr 1
#1
DC
Vince Kehres
Yr 1
#1
Massachusetts
Walt Bell #1
1–18 (5%)
· Yr 3 at school
OC
Angelo Mirando
Yr 1
#1
DC
Tommy Restivo
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 ✓