Pitching model had Hendricks o3.5 π and Soroka u5.5 π
- Hendricks mainly because of low pitch locations with sinking motions vs LHB
- Soroka struggling to get swinging strikes vs this lineup with mainly a sinker vs righties & an inflated line (public perception vs LA)
β β
@SM00RE_@TCarmTheGoat I typically go through the slate and run the best pitching matchups and maybe a couple Iβm curious about. It takes a lot of manual input so it takes some time to run everything
Pitching model resport for Mets/Braves tonight:
Grant Holmes o5.5 Kβs π
Grifting Canning under 4.5 Kβs π
Griffin Canning under 15.5 outs π
The rest of the lines were determined too sharp by the books and not worth the price.
All of these lines were very close as well.
Pitching model resport for Mets/Braves tonight:
Grant Holmes o5.5 Kβs π
Grifting Canning under 4.5 Kβs π
Griffin Canning under 15.5 outs π
The rest of the lines were determined too sharp by the books and not worth the price.
All of these lines were very close as well.
Hey everyone!
Studying data/numbers is one of my favorite parts of sports, especially in MLB. Creating a machine learning data model has been a goal of mine for a long time, and now that itβs here I canβt wait to share it with everyone. Letβs work π«‘
- @TCarmTheGoat