TCDataModel ๐
@TCDataModel
Advanced data driven sports model. Created and managed by @TCarmTheGoat
Pitching model had Hendricks o3.5 ๐ and Soroka u5.5 ๐ - 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) โ โ
Pitching Model went 5-0 today with strikeouts. This thing keeps getting sharper and sharper
Dylan Cease vs the Reds Best play according to the model โคต๏ธ Over 6.5 Kโs with ladder potential ๐ช
Grant Holmes o5.5 โ Canning left with an injury so I canโt take credit for those cashing. Model was 3-0 on strikeout props today.
Pitching model resport for Mets/Braves tonight: Grant Holmes o5.5 Kโs ๐ Grifting Canning under 4.5 Kโs ๐ Griffin Canning under 15.5 outs ๐ 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.
Home Run Model for Mets/Braves Tier 1: Ozun, Alonso, Soto Tier 2: Lindor, Riley, Acuna Jr
Pitching model resport for Mets/Braves tonight: Grant Holmes o5.5 Kโs ๐ Grifting Canning under 4.5 Kโs ๐ Griffin Canning under 15.5 outs ๐ 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.
If you played his strikeouts, they cashed. Model was on point โ
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 itโs here I canโt wait to share it with everyone. Letโs work ๐ซก - @TCarmTheGoat
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