Football Betting
Pass Completions Prop Calculator
Values used for projected pass completions
Each field should describe the same market snapshot.
Result definition
For Pass Completions Prop, rather than compare Prop line directly with a recent average, the calculation revises Recent pass completions average through Matchup adjustment and Role or playing-time adjustment. Estimated standard deviation then describes the variability around Projected pass completions.
Input scope and units
Role or playing-time adjustment records expected football role or opportunity change for this market.
For this comparison, confirm that the baseline and adjustment did not both come from the same news.
Do not repurpose these fields for pass attempts prop; open Pass Attempts Prop, then test its uncertainty independently.
On this page, save the baseline, then revise only Role or playing-time adjustment.
Within this calculation, use a wider estimated standard deviation case to test tail sensitivity.
Reserve Passing Yards Prop for the distinct passing yards prop calculation; do not fold its fields into Projected pass completions.
Checks the arithmetic cannot perform
On this page, injury status, weather, pace, expected game script, and the selected period should describe the same matchup.
Within this calculation, quarterback news and movement around common scoring margins can quickly stale a saved case.
For the Pass Completions Prop Calculator, the example is deliberately separate from the loaded scenario and should be read as a method check, not betting advice.
Recent pass completions average is set to 25.65 completions for this worked case.
Prop line is set to 25.2 completions for this worked case.
Estimated standard deviation is set to 4.368 completions for this worked case.
Applying the Pass Completions Prop rule: projection = recent average × matchup adjustment × role adjustment.
Probability over line is 54.10%. Probability under line is 45.90%. Fair over odds is -118.
For this projected pass completions example, review the formula line and field units if the supporting values disagree with the displayed worked result.
For this market, keep the example separate from the saved market case.
Before treating the gap as meaningful
For this comparison, keep source revisions and market moves as different update reasons.
Practical limitations
As a practical check, the normal distribution is a planning approximation rather than a complete event model.
In this model, the page cannot determine whether a sportsbook applies a settlement exception.
Turning the output into a reviewable case
A useful sensitivity case keeps every entry fixed except Recent pass completions average. Choose a defensible lower or higher value from the same type of evidence, recalculate, and compare Projected pass completions. Repeat separately for Matchup adjustment; moving both fields together makes the cause of the difference impossible to identify.
The calculation can combine Matchup adjustment and Role or playing-time adjustment, but it cannot verify where either value came from. Keep a dated source note for both inputs and mark whether each is observed, quoted, or estimated. That record is necessary if Projected pass completions is reviewed after participant or market conditions change.