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Seq2Seq-Event-Forecasting-of-Soccer-Ball-Actions

This project benchmarks sequence-to-sequence models for football (soccer) event forecasting using pseudo ground truth from the SoccerNet Ball Action Spotting 2025 challenge.

πŸ”‘ Task

Given a sequence of 5 past ball actions, predict the next action.

12 unique actions

12,428 total events

πŸ— Models

Random Baseline (uniform / weighted)

LSTM Seq2Seq

Transformer Seq2Seq

πŸ“Š Evaluation

Macro-F1

Top-1 Accuracy

Top-3 Accuracy

πŸ‘₯ Team

Shouq Alsulami

Banan Almdni

Talah Almuhawwis

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