Loading page content…
Loading page content…

A fully operational MLB first-inning run (FIR) model — built from scratch, automated end-to-end, and calibrated against real starting pitcher splits.
A fully operational MLB first-inning run (FIR) model — built from scratch, automated end-to-end, and calibrated against real starting pitcher splits.
This isn't theory. You'll have a working model live before the end of the program.
---
Why the first inning is the most market-inefficient segment in baseball betting and how sharps exploit it before lines move.
Pull, clean, and weight home/away splits, platoon data, park factors, and handedness from live sources.
Step-by-step configuration of your full data stack: sources, scrapers, spreadsheet templates, and API connections.
Automated data pulls, model refreshes, and alert triggers so your model runs itself every day.
Grade outputs, weight variables, and cut angles that don't hold over sample.
How to deploy your model daily — line shopping, timing bets, and tracking results like a professional.
---
✅ Full course with step-by-step lessons
✅ Members-only community chat
✅ Weekly live model breakdowns
✅ Direct Q&A access
Asian Range Break Playbook
The Asian Range Break Playbook — AUD/JPY & NZD/JPY Most retail traders lose during the Asian session because they trade noise. This playbook teaches you to do…
Short Squeeze Candidate Finder
Master the systematic approach to identifying short squeeze candidates using two of the most powerful signals in the market: borrow fee and short interest (SI)…
1-on-1 Shopify One Product Store Mentorship
Stop guessing. Start selling. This is the most direct path to building a profitable Shopify one-product store — built by someone who has done it, with…
Minecraft Plugin Store Guide
Turn your Spigot skills into your first online revenue stream. This is the only step-by-step course built specifically for Minecraft Java developers who want…
UFC Fight Night Value Picks Mentorship
What you get inside: 🥊 Weekly UFC Fight Night Value Picks — Underdog spots broken down card by card with line movement analysis and expected value context. ⚖️…