FINAL Game forecast · REGULAR week 5
UL MonroeatSouth Alabama
SharpTake projected South Alabama at 81%. South Alabama won.
Pregame forecast · published before kickoff and not revised
SharpTake projects South Alabama to win.
Why SharpTake leans
Why SharpTake leans South Alabama
South Alabama's overall quality is the biggest reason SharpTake favors South Alabama. South Alabama also has the edge in current season's scoring performance and down-to-down efficiency, while UL Monroe's current season's results pushes the other way.
Current season's results
Current season's scoring performance
Down-to-down efficiency
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.
UL Monroe explosive plays
EDGEUL Monroe creates big-play value on successful plays far more often than most FBS teams, while South Alabama allows big-play value on successful plays at a rate near the FBS middle. That comparison favors UL Monroe.
Comparison basis · Explosiveness vs explosiveness allowed
South Alabama disruption vs UL Monroe
EDGEUL Monroe avoids tackles for loss, passes defensed, and forced fumbles far less often than most FBS teams, while South Alabama creates tackles for loss, passes defensed, and forced fumbles at a rate near the FBS middle. That comparison favors South Alabama.
Comparison basis · Havoc allowed vs havoc created
Staying on schedule
NO EDGEUL Monroe gains enough yardage for the down and distance less often than most FBS teams, while South Alabama allows enough yardage for the down and distance at a rate near the FBS middle. The evidence does not separate the teams enough for an advantage here.
Comparison basis · Success rate vs success rate allowed
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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.