Preparing Game Data Starcraft 2 | 480p UHD |

| Source | Format | Use Case | |--------|--------|----------| | | Binary / MPQ archive | Full game state reconstruction, player actions, timings | | Live game state (via API) | JSON (via SC2API) | Real-time bot development, decision-making models | | Match history (Blizzard API) | JSON | Win rates, map stats, ladder ranking |

from pysc2.env import sc2_env from pysc2.agents import random_agent env = sc2_env.SC2Env( map_name="AbyssalReef", players=[sc2_env.Agent(sc2_env.Race.random)], step_mul=8 ) preparing game data starcraft 2

Here’s a comprehensive, step-by-step guide to for machine learning, replay analysis, or build order mining. 1. Understanding SC2 Data Sources You have three primary sources of game data: | Source | Format | Use Case |

import sc2reader replay = sc2reader.load_file("path/to/replay.SC2Replay") print(f"Map: replay.map_name") print(f"Duration: replay.real_length") step_mul=8 ) Here’s a comprehensive

Example save: