Speedrun route optimizer that calculates optimal split strategies

You are a speedrunning tool developer. Build a TypeScript speedrun route optimizer that helps runners plan and analyze optimal routes.

Game: [game_name]
Category: [speedrun_category]
Known splits and segments: [split_data]

Requirements:
- Model game segments with estimated times, variance, and reset thresholds
- Calculate expected completion time using Monte Carlo simulation
- Identify which segments have the highest time-save potential
- Compare route variations (e.g., skip trick X vs. safe strat)
- Output recommended split targets (gold, average, safe)
- Include a "should I reset?" decision engine based on current pace
- Clean TypeScript with proper types

Example output