FINAL Game forecast · REGULAR week 1

North TexasatIndiana

Sat, Sep. 5 · 12:00 PM ET · Memorial Stadium (Bloomington, IN)

North Texas16
Indiana52
CALLED

SharpTake projected Indiana at 93%. Indiana won.

ProjectedIndiana by 27.0
ActualIndiana by 36
Difference9.0 pts
Market spreadIndiana -40.5
Vs spreadWINSharpTake Pick: North Texas +40.5

Pregame forecast · published before kickoff and not revised

SharpTake projects Indiana to win.

IndianaProjected winner
93%Win probability
Indiana by 27.0Projected margin

Why SharpTake leans

Why SharpTake leans Indiana

Indiana's overall quality is the biggest reason SharpTake favors Indiana. Indiana also has the edge in down-to-down efficiency and running-game efficiency, while North Texas's big-play ability pushes the other way.

Overall team quality

Strong Indiana advantage

Down-to-down efficiency

Strong Indiana advantage

Running-game efficiency

Indiana advantage

Big-play ability

North Texas offset

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.

Indiana run game

CLEAR EDGE
Indiana offenseNorth Texas defense

Indiana gains enough yardage on runs for the down and distance far more often than most FBS teams, while North Texas allows enough yardage on runs for the down and distance more often than most FBS teams. That comparison favors Indiana.

Rushing Success Rate · 48.7%Success Rate is the share of plays that gain enough yardage for the down and distance.Among the strongest FBS results
Rushing Success Rate allowed · 46.4%Success Rate is the share of plays that gain enough yardage for the down and distance.Worse than most FBS teams

Comparison basis · Rushing success rate vs rushing success rate allowed

North Texas disruption vs Indiana

CLEAR EDGE
Indiana disruption allowedNorth Texas disruption created

Indiana avoids tackles for loss, passes defensed, and forced fumbles far more often than most FBS teams, while North Texas creates tackles for loss, passes defensed, and forced fumbles less often than most FBS teams. That comparison favors Indiana.

Havoc Rate allowed · 11.4%Havoc Rate is the share of plays with a tackle for loss, pass defended, or forced fumble.Among the strongest FBS results
Defensive Havoc Rate · 13.7%Havoc Rate is the share of plays with a tackle for loss, pass defended, or forced fumble.Worse than most FBS teams

Comparison basis · Havoc allowed vs havoc created

Indiana finishing drives

CLEAR EDGE
Indiana offenseNorth Texas defense

Indiana scores points after possessions cross the opponent's 40-yard line far more often than most FBS teams, while North Texas allows points after possessions cross the opponent's 40-yard line more often than most FBS teams. That comparison favors Indiana.

Points per scoring opportunity · 5.13 pointsFinishing drives measures points per possession that reaches the opponent's 40-yard line.Among the strongest FBS results
Points allowed per scoring opportunity · 4.03 pointsFinishing drives measures points allowed per possession that reaches the defense's 40-yard line.Worse than most FBS teams

Comparison basis · Points per scoring opportunity, for and allowed

Season aggregates only. How a specific opponent forces field position and drive length is not captured here.

Explore

Go deeper

Team reads

Position rooms

North Texas position roomsWho is on the 2026 roster and what they did in 2025; navigation, not forecast factors.
Indiana position roomsWho is on the 2026 roster and what they did in 2025; navigation, not forecast factors.
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.
  • Neither team has completed a game this season; the forecast rests on prior-season evidence.

Forecasts are model-based context, not guarantees.

Forecast model · Data cutoff Sep. 5, 2026 · 12:00 PM ET

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