The bread emoji Team’s Submission to the 2025 FedCSIS Predicting Chess Puzzle Difficulty Challenge

We detail the bread emoji team's submission to the FedCSIS 2025 Predicting Chess Puzzle Difficulty Challenge.Our solution revolved around improving our submission from the previous competition by incorporating a new puzzle metadata feature and optimizing our implementation to allow for larger model ensembles and more stable training.Similar to our submission from last year, our system has two stages: learning a strong predictor for the LICHESS dataset and then rescaling the distribution using an empirically-guided post-processing step to fit it to the smaller and noisier competition dataset.Our submission placed second with a 3.9% gap in mean squared error (MSE) from first place [1].