FINAL Game forecast · REGULAR week 4
James MadisonatOld Dominion
SharpTake projected James Madison at 76%. James Madison won.
Pregame forecast · published before kickoff and not revised
SharpTake projects James Madison to win.
Why SharpTake leans
Why SharpTake leans James Madison
James Madison's overall quality is the biggest reason SharpTake favors James Madison. James Madison also has the edge in down-to-down efficiency and current season's scoring performance, while Old Dominion's current season's results pushes the other way.
Down-to-down efficiency
Current season's results
Current season's scoring performance
On-field context
Matchup breakdown
These matchup factors describe where the teams differ on the field. They are separate from SharpTake's forecast explanation above.
Old Dominion pass game
EDGEOld Dominion gains enough yardage on pass plays for the down and distance at a rate near the FBS middle, while James Madison allows enough yardage on pass plays for the down and distance far less often than most FBS teams. That comparison favors James Madison.
Comparison basis · Passing success rate vs passing success rate allowed
Old Dominion explosive plays
EDGEOld Dominion creates big-play value on successful plays at a rate near the FBS middle, while James Madison allows big-play value on successful plays far more often than most FBS teams. That comparison favors Old Dominion.
Comparison basis · Explosiveness vs explosiveness allowed
James Madison disruption vs Old Dominion
EDGEOld Dominion avoids tackles for loss, passes defensed, and forced fumbles at a rate near the FBS middle, while James Madison creates tackles for loss, passes defensed, and forced fumbles far more often than most FBS teams. That comparison favors James Madison.
Comparison basis · Havoc allowed vs havoc created
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Coverage and limitations
- Forecasts are produced only when both teams meet SharpTake's evidence requirements.
- Player availability, injuries, weather, travel, and rest are not included.
- Explain factors use completed 2025 team-season evidence. They describe matchup contrasts and are not causal model attribution.
Forecasts are model-based context, not guarantees.