Evidence after the playtest

Board Game Balance Test Analysis

Turn recorded human playtests into review signals for win rates, seat order, faction matchups, player counts, and scoring paths—without pretending that a small sample can certify balance.

Your playtest files stay on your device. CSV analysis runs inside this browser tab; no rows are uploaded or stored by Tabletop Maker Lab.

Five independent questions

Choose the evidence that matches the design decision.

Each tool uses a distinct dataset and comparison. Start with one hypothesis instead of pouring unrelated sessions into a single balance score.

Calculator

Win Rate Confidence Calculator

Put an observed win rate beside a 95% Wilson interval and your own target band.

 CSV analyzer

First-Player & Seat Advantage

Compare each winning seat with an equal-seat baseline by version and player count.

 CSV analyzer

Faction Matchup Analyzer

Normalize reversed faction order, preserve draws, and flag matchup intervals for review.

 CSV analyzer

Player-Count Balance Analyzer

Compare duration and score-spread changes against a creator-selected baseline count.

 CSV analyzer

Score Path Analyzer

Measure category share and winner association from long-form player scoring data.

A defensible analysis loop

Segment → quantify → inspect → retest

  1. Keep version, player count, matchup, and recruitment conditions visible.
  2. Use confidence intervals and user-entered review rules to expose uncertainty.
  3. Inspect the sessions behind a signal before changing the design.
  4. Record the next version separately and test whether the pattern repeats.

What these tools do not decide

A flag is not a verdict.

Observational playtest data can be distorted by player skill, teaching, version drift, matchup selection, and small samples. These tools organize evidence; they do not prove fairness, causation, fun, or publication readiness.

Fast hypothesis check

Use the win-rate calculator when you have one binary outcome and need to see how uncertain it still is.

Structured comparison

Use a CSV analyzer when version, player count, seat, faction, or scoring category changes the question.

Next test decision

Retest flagged and under-sampled groups with comparable players and rules before treating the pattern as stable.