FINAL Game forecast · REGULAR week 6
North CarolinaatPittsburgh
SharpTake projected Pittsburgh at 83%. North Carolina won.
Pregame forecast · published before kickoff and not revised
SharpTake projects Pittsburgh to win.
Why SharpTake leans
Why SharpTake leans Pittsburgh
Pittsburgh's overall quality is the biggest reason SharpTake favors Pittsburgh. Pittsburgh also has the edge in down-to-down efficiency, while North Carolina's current season's results pushes the other way.
Down-to-down efficiency
Current season's results
Last season's results
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.
North Carolina staying on schedule
CLEAR EDGENorth Carolina gains enough yardage for the down and distance less often than most FBS teams, while Pittsburgh allows enough yardage for the down and distance far less often than most FBS teams. That comparison favors Pittsburgh.
Comparison basis · Success rate vs success rate allowed
North Carolina run game
CLEAR EDGENorth Carolina gains enough yardage on runs for the down and distance less often than most FBS teams, while Pittsburgh allows enough yardage on runs for the down and distance far less often than most FBS teams. That comparison favors Pittsburgh.
Comparison basis · Rushing success rate vs rushing success rate allowed
Pittsburgh disruption vs North Carolina
EDGENorth Carolina avoids tackles for loss, passes defensed, and forced fumbles at a rate near the FBS middle, while Pittsburgh creates tackles for loss, passes defensed, and forced fumbles far more often than most FBS teams. That comparison favors Pittsburgh.
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.