| 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 **61 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 (640+ hand-engineered features). Per-format calibrated weights. Generation-aware mechanics (Mega Evolution, Z-Moves, Dynamax, Tera types). | |
| ## Performance | |
| Team-only AUC on held-out test sets (ratings equalized, no Elo leakage): | |
| | Format | Neural AUC | XGB AUC | | |
| |---|---|---| | |
| | Gen 3 OU | 0.859 | 0.828 | | |
| | Gen 4 OU | 0.853 | 0.841 | | |
| | Gen 9 AG | 0.845 | 0.772 | | |
| | Gen 8 Ubers | 0.830 | 0.805 | | |
| | Gen 9 Ubers | 0.812 | 0.752 | | |
| | Gen 9 OU | 0.760 | 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) | |