Pre-computed 208-dimensional player embedding vectors from the Football2Vec 360-Enriched model — ready to use without loading model weights. Covers ~4K player-match records across 323 StatsBomb 360 open-data matches. Each vector encodes both action sequences and spatial freeze-frame context via a transformer encoder (192d) combined with a Deep Sets encoder (16d).
This dataset occupies a separate embedding… See the full description on the dataset page:
https://huggingface.co/datasets/luxury-lakehouse/football2vec-360-embeddings.
