Aussie🇦🇺Aurora

@KasperMLB Still 🏦’d several good HR odds brotha‼️

I may just be drunk but feel like the model did trash compared to yesterday

@callmeauntie218 🌃

Night games anyone … or should i keep my emojis to myself ?

@KasperMLB 🫡🤝

Model is currently being tested and tweaked. Once I hit 1,000 followers or June 1, I’ll provide the link to the full slate explorer 100% free for 2026

@TheHome_RunKing @ColesAlgoPicks 🔮

April 11th Batter v. Pitcher Cheat Sheet

@TheHome_RunKing 🫡🤝

🚨 Expected Home Runs for April 11th 🔥 The "Poor Games" Section continues to print as it is now like 20-3 for under 1.5 home runs over the last few days! Let's continue taking advantage of the shitty weather!

@TheHome_RunKing 🔮

I am not sure if yall are paying attention or not, but this cheat sheet is 14-1 in the last 15 poor games for under HRs on Fanduel!

@rgfray1 @cookitup31 💀

Robert Kraft when Mike Vrabel gets back from his Arizona vacation

@be4_the_h3rd 🚀 @GoldmanBanker

Limit up

A family of four with two school-age children in any New York City borough now needs a median income of $133,000 just to cover basic needs without assistance. Even so, nearly half of households still do not earn enough to reach that threshold.

@TheHome_RunKing 🫡 🦾

Expected Home Runs Cheat Sheet April 4th

@HomeRunPredict Doing God’s work

@HackermanAce @SharkMemess

Whats everyone doing tonight ?

@KeithBloomfie17 🏦

LETS FUCKING GOOOOOO!!!!! 3 days in a row!!!! 6 fucking grand on a $2 BET!!!!!

@HomersAndHorses 🫡🤝

⚾️ Home Runs ⚾️ Happy Wednesday everybody, We got 10 Home Runs off the list last night 🔥Let’s stay hot Here’s Home Run picks for every game today for you ⚾️💥 I’ll reply with any updates if there are any scratches or changes

@WorstPicks 🫡 🤝

4/1 MLB Cheat Sheet 💎 = Underrated / I like ⚾ = Pitcher Hand Weakness / HR Target ⭐ = My Favorite 🚀 = 100+ mph EV 🏟️ = Good Park 🩹 = Sharp Spot 🧤 = Bum onna Mound 📜 = BvP History Like Retweet & Share if you like using the cheat sheet & good luck today. This isn't subjected to homeruns only run your Hits, Total Bases, Hits+Runs+Rbis My Favorite Picks are highlighted in red Don't got Pikkit?:links.pikkit.com/invite/worst All info sourced from: @GDI_App @doink_sports @PropFinderApp

@MurrayHillGuy1 tsa.fromthetraytable.com

Flying out of JFK tomorrow morning to Vegas… can anyone give real updates how bad it is?

@itsmrbarrel 🫡🤝

We are reaching the bare minimum point where the purple columns begin to matter for me. Here is a list of players with 3+ Barrels this year, secondary sorted by Swinging Strike % (BR vr). The goal with adding the purple columns (Plate Discipline Metrics) was to be able to try and capture swing decision tendencies for players, witness improvements, degradation, and recognize player archtypes for projection. This will be a long post, apologies in advance. For the L1/L3 reports I post on here, these columns are meaningless. The sample is too small. How I personally plan on using this is to prioritize players making good swing decisions (low SwStr%/low Chase %/high Z-Con%) in the 25-100AB range, that are on the L1/L3 report. You can do this easily by going to blast-report.com/daily-reports, and using the pre-programmed buttons. This will eventually work in conjunction with the Daily Pitchers to Target report, which will have much of the same metrics. If that all seems like too much for you, I'm am here to tell you IT ISN'T. It is barely any work at all, but if you're still stubborn, or maybe numbers just aren't your thing, I will continue to try and post as much easily digestible content as I can on here for quick and easy research. All these formulas are from scratch, meaning I calculate them from the same raw data that the big boys do (Savant/Fangraphs), however I do not scrape them directly from their sites. Because of this, when comparing, you may notice a small difference in calculation results. I promise, the math is good, there is probably just a minor variable that I decided to add/remove (or a data factor is not publicly available and I haven't been able to recreate it yet). This is not uncommon for statistics, but if it bothers you, then I'd suggest ignoring the purple columns and looking for that data on Savant/Fangraphs. In the end, we will end up in the same place on a player, maybe 1-2% off in some places, but feel like its something I should be upfront about if I'm going to be sharing them with you guys. Anyway, thats it. Thats the tweet. Hopefully it helps.

@TheHome_RunKing 🫡🦾

Are we ready for tomorrows cheat sheets?

@wingedwheel91 @PropFinderApp 🦾🦾

Modest work! I’ll take the $3.50 into over $500 tonight. God is good 🙏🏻✅ Trust that data @PropFinderApp the value boys come through for the start of MLB season!!

@Pickolopicks 🫡🦾

Dinger Report 03/31 ⚾️ @Pickolopicks 1/3