Featured research guides
The research library is designed to make the numbers inside Bosh Roid easier to understand. Each guide explains the data, the evaluation method and the limitations that should be considered before using a projection.
Model evaluation
How to Read MLB Forecast Accuracy
A practical guide to evaluated forecasts, comparable predictions, W-L records, MAE, RMSE, bias and accuracy bands.
Read guideBaseball context
How Stadiums, Roofs and Weather Shape MLB Forecasts
Why the same player projection can change when park dimensions, roof status, wind, temperature and game location change.
Read guideProjection process
How Bosh Roid Builds Player Projections
How season baselines, recent form, playing time, role, opponent quality and game context work together.
Read guideWhat makes this research original
Bosh Roid does not publish generic player blurbs copied from public rankings. The site stores pregame forecasts, compares them with final player results and measures how performance changes across metrics and game contexts. That history supports the dashboards, research articles and model-development work throughout the platform.
Published material focuses on what the data can support. Small samples are identified as developing evidence, forecast error is shown alongside directional accuracy, and historical results are never presented as a guarantee of a future outcome.