Fan-Made TTRPG Toolkit · Star Road Edition

Star Road Toolkit

A bizarre battle laboratory for JoJo-style tabletop play: build Stands, simulate dice odds, and plan combat, all in the browser. Fan-made for Star Road Edition.

LiveSolo Developer2026
Enter the Lab ↗GitHub
star road toolkit · live
Power
B
Speed
A
Range
D
Durability
C
Point budget used18 / 20
3
6
9
12
13
15
17
18
3d6 vs DC 12 · 5000 rounds
Hit chance74.2%
Stand Evolution
ACT 1ACT 2ACT 3
Learning Points: 12 / 15 to next ACT
Project Details
Overview

Running JoJo-style tabletop combat by hand means constantly cross-referencing rank tables, adding up dice pools, and tracking half a dozen resource types at once. Star Road Toolkit is a browser-based dossier and battle lab for the fan-made Star Road Edition ruleset: build a Stand, simulate combat odds, plan ACT evolution, and track session resources, all client-side with autosave.

The Tools
STD
Stand Builder
Assign parameters and track point budget while building a Stand user
DICE
Dice Lab
Simulate rolls and calculate odds across 5000-round opposed scenarios
ACT
ACT Planner
Design evolution across ACT forms and Learning Points progression
SEC
Secret Actions
Write, track, and dramatically reveal Secret Actions during a session
RES
Resource Tracker
Track Resolve, Plot Points, Health, Spin, Hamon, and Bizarre Points in one place
CMP
Campaign Manager
Manage multiple characters and campaigns from a single dashboard
How It Works
I
Create a character and build their Stand in the Stand Builder
II
Simulate combat odds in the Dice Lab across thousands of rounds
III
Plan ACT evolution and Learning Points progression as the character grows
IV
Track Secret Actions, Resolve, Plot Points, and Health during a session
V
Autosave keeps progress current, with manual save/load for character files
Technical Decisions
Fully client-side, no accounts: characters are stateless dossiers, not multiplayer sessions, so a backend would add friction without adding value. Progress is autosaved locally, with export/import for character files.
Rank-based dice scaling: Star Road Edition's F-through-S rank ladder maps each stat rank to a dice formula and modifier, a homebrew system that needed its own probability tables rather than a generic dice library.
Monte Carlo simulation for odds: the Dice Lab runs opposed rolls thousands of times rather than computing closed-form probabilities, since Star Road's stacking modifiers and rank thresholds are easier to simulate than to solve analytically.
Original and Shattered ruleset support: the toolkit switches between Star Road's Original and Shattered rule variants, so the same tools stay usable across both versions of the fan ruleset.
What's Next
  • Standless discount calculation for non-Stand characters
  • Trait and flaw balance warnings during character creation
  • Resource Tracker sync directly from the Stand Builder