Baker Engine careers

Most other sports prediction models provide average (mean) predictions for game-level outcomes and sometimes player-level outcomes. Baker's prediction engine goes down to the play-by-play level. The result is built in support for player projections, range of outcome projections, correlations and much more. Further, a play-by-play engine can be repurposed for all use cases, including media, fantasy and betting. You can read more here: docs.bakerengine.com/docs/why-baker-is-different

Additionally, the database that stores the result of the play-by-play simulations can be instantly and easily queried by customers. They can answer any type of question such as “What is the probability that Dalvin Cook runs for 10 TDs and the Vikings miss the playoffs?” or “Does Darren Waller or T.J. Hockenson have a higher 95th percentile projection this week?” You can read more here: docs.bakerengine.com/docs/use-cases