zephyrus-sc2-parser
mpq
| zephyrus-sc2-parser | mpq | |
|---|---|---|
| 6 | 1 | |
| 37 | 32 | |
| - | - | |
| 0.0 | 4.0 | |
| 12 months ago | about 1 year ago | |
| Python | Go | |
| MIT License | Apache License 2.0 |
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zephyrus-sc2-parser
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Show HN: Rust nom parsing Starcraft2 Replays into Arrow for Polars data analysis
This is insanely cool! Very impressed you managed to implement a full parser in Rust.
I implemented a basic one in Rust a while back: https://github.com/ZephyrBlu/rust-parser
And a full one in Python with a few bells and whistles ages ago: https://github.com/ZephyrBlu/zephyrus-sc2-parser
Don't maintain either of them though :(, and the Rust one is super rough.
SC2 is a very interesting area for data analysis, but at the same time I found it very challenging. There is so much nuance and inconsistency across games it can be really hard to do accurately do things like categorize builds or measure build timings.
The area I ended up focusing on was builds, and I feel like I did some interesting stuff there: https://sc2.gg/reports/top-openings-2022/.
I found personal statistics less interesting than aggregate statistics. Even pro games are very volatile, ladder games even more so. Extremely hard to get reliable signal out of them if you're trying to track things across games. Even simple things like Collection Rate are poor indicators without significant categorization work (Matchup, build, opponent build, etc).
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Tools for analyzing the meta: build play rate, build win rate and build trees
There is the sc2reader parser which has been around for a while, and I also have a Python parser.
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Predicting Match Win Probability using Game Statistics
Check out this guy's work, he tracks a lot of details. https://app.zephyrus.gg/login https://github.com/ZephyrBlu/zephyrus-sc2-parser
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How to get first job as swe: two cents from an "experienced" FANG engineer
This is one of the projects I've been working on for over a year: https://github.com/ZephyrBlu/zephyrus-sc2-parser.
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I Will Be Your Personal SC2 Analyst for $10
I love analyzing SC2. I wrote my own replay parser, I created a replay analysis site (FYI this is an old video) and I regularly post graphics of stats/analyses such as:
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Statistics about IEM Katowice 2021
This is the parser: https://github.com/ZephyrBlu/zephyrus-sc2-parser
mpq
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Show HN: Rust nom parsing Starcraft2 Replays into Arrow for Polars data analysis
SC2 replays are MPQ files, which is a proprietary format created and used by Blizzard. It's an archive that may contain multiple files stored with different compression and optionally encrypted. I wrote a lib to parse MPQ files that embodies SC2Replays: https://github.com/icza/mpq. I also wrote an SC2 replay parser that is more or less a port of the official s2protocol: https://github.com/icza/s2prot
What are some alternatives?
s2protocol-rs - Starcraft 2 Protocol Replay Reader
Tims-PackageServer - Lightweight Package Server for WoltLab Community Framework
rust-parser
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s2prot - Decoder/parser of Blizzard's StarCraft II replay file format (*.SC2Replay)
blizzard - Go client library for Blizzard API data
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rust - Empowering everyone to build reliable and efficient software.
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