Many checks at once

At the table

You want a grid: for many modifiers and target numbers, what is the chance 2d10 + modifier meets each target?

Try it

In the playground, open this lesson in the playground and click Run (or press Shift+Enter).

The script

↗roll = 2d10
rows = [
    ("modifier {}, target {}".format(mod, target), (roll + mod).p_ge(target))
    for mod in range(-2, 11)
    for target in range(0, 11)
]
output("success_grid", prob_table(rows))

success_grid · Table

Strategy: one table, not many output calls

Calling output(name, probability) inside a loop is fine for a handful of values, but each call becomes its own one-row “Prob” block in the UI—repeated headers and hundreds of tiny tables.

For grids and parameter sweeps:

1. Build a list of (label, probability) rows—often with a comprehension over your parameter ranges.
2. Call output once with prob_table(rows).

prob_table takes a list of (string label, probability) tuples. Probabilities are independent—they do not need to sum to 1 (unlike Outcomes / bucket outcomes, which describe a single roll).

Use a plain output(..., float) when you want exactly one probability. Use prob_table when you want one multi-row table with the same % / frac / X columns as distribution output.

Reading the result

One block output success_grid: Table with a row per modifier/target pair (labels like modifier -2, target 0, modifier 5, target 3, …). For a structured copy, open the json tab—table rows use "kind": "table".

Try this

• Narrow range in the editor to match your game (fewer lines).
• Change 2d10 to another roll you care about.
• Tweak the label string (e.g. "target {} @ modifier {}".format(target, mod)) if that sorts better in a spreadsheet.

What’s next

Ordered outcome labels—named success bands instead of only numeric totals.

See the user guide index and standard library reference for builtins.