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README.md

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+---
+language: en
+tags:
+- pokemon
+- competitive-pokemon
+- pokemon-showdown
+- team-builder
+- win-prediction
+- xgboost
+- pytorch
+- transformer
+license: mit
+---
+
+# FutureSightML
+
+**ML-powered Pokemon team builder that predicts win rates from team composition alone.**
+
+Pre-trained models for **62 competitive formats** across Generations 1-9.
+
+## Downloads
+
+- **Windows Desktop App (CUDA):** [FutureSightML-win-x64.zip](https://huggingface.co/HotHams/FutureSightML/resolve/main/FutureSightML-win-x64.zip) (~3 GB) — Extract and run. Models download automatically on first launch.
+- **Model Data:** [model-data.tar.gz](https://huggingface.co/HotHams/FutureSightML/resolve/main/model-data.tar.gz) (~300 MB) — For running from source.
+
+## Architecture
+
+Neural transformer encoder with pairwise matchup matrix branch, ensembled with XGBoost (618+ hand-engineered features). Per-format calibrated weights.
+
+## Performance
+
+Team-only AUC on held-out test sets (ratings equalized, no Elo leakage):
+
+| Format | Neural AUC | XGB AUC |
+|---|---|---|
+| Gen 3 OU | 0.854 | 0.827 |
+| Gen 4 OU | 0.848 | 0.842 |
+| Gen 9 AG | 0.846 | 0.772 |
+| Gen 8 Ubers | 0.836 | 0.806 |
+| Gen 9 Ubers | 0.814 | 0.752 |
+| Gen 9 OU | 0.759 | 0.688 |
+
+For context: Dota 2 draft prediction AUC is 0.66-0.71, Hearthstone deck prediction AUC is 0.65-0.68.
+
+## Source Code
+
+[github.com/HotHams/FutureSightML](https://github.com/HotHams/FutureSightML)