Fantasy Points Projection Calculator

Work out fantasy points projection instantly with clear inputs, formula shown and shareable results.

About Fantasy Points Projection Calculator

Projected points are games actually expected times the per-game average; the range uses the standard deviation of a sum, which grows with the square root of games played. Because variance grows with the square root while the total grows linearly, longer horizons are proportionally more predictable, which is why late-season projections tighten.

Formulas

Projection

projected = games remaining x (1 - miss chance) x average points

Range

range = projected plus or minus 1.28 x average x variability x sqrt(games)

Worked example

With the default values below, Fantasy Points Projection Calculator returns Projected points of 130.5. Change any input above and every figure here is recalculated in your browser.

Inputs used

Games remainingminimum 1: 10
Average points per gameminimum 0.1: 14.5
Game to game variabilityaccepts 0–100 %: 25 %
Chance of missing any given gameaccepts 0–100 %: 10 %

Results

Projected points: 130.5
Optimistic case (90th percentile): 144.4
Pessimistic case (10th percentile): 116.6
Games expected to be played: 9.00

Step by step

1Values used
2Projection
3Range
4Projected points= 130.5
5Optimistic case (90th percentile)= 144.4
6Pessimistic case (10th percentile)= 116.6
7Games expected to be played= 9.00

Assumptions and limits

The result is derived only from the 4 inputs listed above. Anything not among them is not part of the calculation.
In particular, this calculator does not take inflation, tax, fees or charges or compounding frequency into account.
Figures are rounded for display to 2 decimal places, so totals built from several rounded parts can differ slightly from the unrounded arithmetic.

How these calculators are built and tested is described on the Methodology page. If a figure looks wrong, please report it.

Frequently Asked Questions

How is the Fantasy Points Projection figure worked out?

projected = games remaining x (1 - miss chance) x average points. Projected points are games actually expected times the per-game average; the range uses the standard deviation of a sum, which grows with the square root of games played.

Why does this matter?

Because variance grows with the square root while the total grows linearly, longer horizons are proportionally more predictable, which is why late-season projections tighten.

What do I need to enter?

Enter games remaining, average points per game, game to game variability, chance of missing any given game. The defaults shown are a realistic worked example — swap in your own figures to get a result you can use.