As the games were played late in my time, I decided to update in the morning. The results are six out of the eight games were predicted correctly by the OOTP simulation module. Boston did win last night but by a narrow margin. It’s the beginning of the season, so we shouldn’t be surprised to see […]
Continue readingEach day that I run simulations, I will post my analysis of the previous run’s predictions. With that said here is yesterday’s analysis: https://datasciencereview.com/did-the-baseball-simulator-fail-for-opening-day-2019While writing my analysis last night, Boston was still playing the Mariners and were losing to them. This is the biggest upset in the set of predictions. OOTP predicted that Boston would win […]
Continue readingAs a refresher, I set up an experiment using Out of the Park Baseball for opening day 2019. If you did read that post, I updated the results which show several incorrect predictions. Did the baseball simulator fail for opening day 2019?If you read through my assumptions, you’ll see that the simulator did exactly as […]
Continue readingStatistics has been known to be a dry subject to learn. But, when you couple the data of America’s favorite past time, it can bring the subject to life.
Continue readingThere’s something about statistics and baseball. They seem well-suited for one another. It’s been that way since the inception of the game. People have been keeping not only the scores of the games and teams, but also the scores of the players in the form of statistics. This leads to managing a seriously large amount of […]
Continue readingThe secret about the start of baseball season 2019 is that it already started. That’s right! The season began officially on March 20, 2019. There were only two teams playing on that day (and the next) which were the Seattle Mariners and the Oakland A’s. They played two successive games in Japan. I think the reason […]
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