Author

Tomas Rigaux

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Preprint Jul 2026

Predicting Drafted Deck Strength for"Magic: the Gathering"

An encoder-based model is proposed that produces set-contextualized card embeddings to encode the draft decision sequence, with a consistent improvement over linear baselines on large-scale real-world data, establishing a first learned benchmark for outcome prediction in MTG Draft.

Tomas Rigaux, Hisashi Kashima · 1 citation