FINAL Game forecast · REGULAR week 5
StanfordatWake Forest
SharpTake projected Wake Forest at 81%. Wake Forest won.
Pregame forecast · published before kickoff and not revised
SharpTake projects Wake Forest to win.
Why SharpTake leans
Why SharpTake leans Wake Forest
Wake Forest's overall quality is the biggest reason SharpTake favors Wake Forest. Wake Forest also has the edge in down-to-down efficiency and big-play ability, while Stanford's record from last season pushes the other way.
Last season's results
Down-to-down efficiency
Big-play ability
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.
Stanford staying on schedule
CLEAR EDGEStanford gains enough yardage for the down and distance far less often than most FBS teams, while Wake Forest allows enough yardage for the down and distance far less often than most FBS teams. That comparison favors Wake Forest.
Comparison basis · Success rate vs success rate allowed
Stanford run game
CLEAR EDGEStanford gains enough yardage on runs for the down and distance far less often than most FBS teams, while Wake Forest allows enough yardage on runs for the down and distance less often than most FBS teams. That comparison favors Wake Forest.
Comparison basis · Rushing success rate vs rushing success rate allowed
Stanford pass game
CLEAR EDGEStanford gains enough yardage on pass plays for the down and distance less often than most FBS teams, while Wake Forest allows enough yardage on pass plays for the down and distance far less often than most FBS teams. That comparison favors Wake Forest.
Comparison basis · Passing success rate vs passing success rate allowed
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Team reads
Position rooms
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.