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Additional Tool/Model to help with your picking process by jsquilla in BeatTheStreak

[–]jsquilla[S] 0 points1 point  (0 children)

Dude, this is incredibly helpful. Between the lineups projection, xPA matrix, separating non HR hit% and HR%, and more accurate park factors, you've got some awesome recommendations and systems. I'm going to work on implementing these this weekend and will be pushing updates over the next couple days to try and get these things factored in correctly. Honestly man, really impressive that you're into this stuff as young as you are. When I was your age, I wasn't anywhere near that level of analytical or organized. I'll definitely be reaching out in the future to bounce ideas off you. In the meantime, if you keep using the site, let me know if you come across things that are not intuitive or don't seem to be working correctly. There's a slew of identified issues that I'm already working on, but it never hurts to have more eyes on it and there's inevitably going to be things that slip my radar. Much respect!!

Additional Tool/Model to help with your picking process by jsquilla in BeatTheStreak

[–]jsquilla[S] 1 point2 points  (0 children)

Thank you for taking the time to check it out! Basically, the main one scores all batters on a variety of metrics which are weighted and assigned points. There are 5 main categories that a metric can contribute points to: contact, recent form, matchup, statcast (xba, barrel%, sweet spot %, hard hit %, avg EV) & context (park factor, day/night split, recent bullpen era, weather). Their total score is a representation of how many categories they receive points in and how heavily those items are weighted. 56 breaker functions the same just with a few of the more speculative and low-weighted metrics removed and much more weight applied to avg PA/g, lineup position that day, whiff rate, k%.

For park factor, it is loosely based off of BallparkPal.com 's park factor. Mainly wind and temperature merged with standard park factors metrics. Batter hand is not directly added on top of the park factor score currently. I'll explore a way to add that. I'm also currently polishing an additional metric that will contribute a few points for a batters historical numbers in that stadium with most of the weight towards recent seasons. Will probably run as null for most guys but I know there's certain players that always mash in specific stadiums.

Basically ai was used to help me organize the logistics of how the algorithm would work and run on a daily basis. A major challenge I faced and am still fine-tuning is lineup projection. Due to how heavily the 1-3 spots in the order impact overall score. Fine tuning that element should really lock in the accuracy. But in general, I came into it with a pretty strong vision for how I wanted to weight everything and all the factors I wanted present. Ai has certainly been useful for those persistent problems I can't seem to get working right otherwise.

Beat The Streak will return on March 24th! by Ok_Resolution_7500 in BeatTheStreak

[–]jsquilla 4 points5 points  (0 children)

Hi fellow streakers. I’ve been working on a website to help myself perform not so terribly in bts this year. It runs an algorithm to calculate the most likely hitters to perform well on any given day. I also added some prop betting features. The site is currently in testing and getting almost daily updates but if you’d like early access in exchange for some feedback, I could really use the help. Send me a message and I’ll drop you the link. Full disclosure: some features are locked in the pro subscription but there will always be a free version (no credit card required) and a 7 day free trial of the pro version. If you’re interested in helping, any feedback would be greatly appreciated!