How many players come back for the next episode, when the newest ones still have time?

After an episode ends, some players come back within days, some later, and some never. If you count everyone who has not returned yet as lost, a fresh release always looks like a failure. This entry shows how to count only those whose waiting time is really over.

Why this works

A player whose waiting time is not over yet has not said no. Leaving those still within the window out of the rate, and reporting how many there are, stops the newest episode from looking like a flop merely because it is new.

When not to use it

Wrong when episodes come out at no fixed rhythm, or when you have few players: the window is then a guess. Set the window near the usual gap between releases, and ask a few players why they did not come back.

In the full entry

• What to build, step by step
• Starting values and the reason for each
• 3 common mistakes and the fix
• 29 lines of example code with 3 checks that pass
• How your AI shows you that it works

Say this to your AI

Use the Spielerando entry "How many players come back for the next episode, when the newest ones still have time?" (read_entry story-episode-return-open-window) in my game. Build it step by step, and show me how you checked that it works.

Or skip this and connect the MCP: your AI then finds all of this by itself.Connect the MCP