Most sports bettors lose because they're playing in the wrong markets.

Game spreads are priced by teams of analysts with millions in data infrastructure. You're not out-modeling them on game outcomes. That's a losing fight.

Player props are different.

They're priced with less attention. They move slower on news. The opening line has more error. That inefficiency is exactly where edge lives — and it's accessible to anyone with the right process.

Here's the 4-layer filter I run on every prop before I bet it:

Layer 1 — Availability: Is this prop available at 3+ books? If only one book has it, I can't benchmark it. Skip.

Layer 2 — No-Vig Fair Value: I strip the juice from every book's line and average the true implied probabilities. That's my market baseline.

Layer 3 — Stat Context: Does the player's actual data — last 10 games, usage rate, opponent defensive rating at their position — support the direction the fair value points? If yes, signal. If they conflict, pass.

Layer 4 — Edge Threshold: My probability estimate minus the best available implied probability. Minimum +3% edge to bet. Below that, model error eats the edge.

Every single bet I place passes all four layers. No exceptions.

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I post my full weekly KPI report publicly every Monday: win rate, ROI, average edge at placement, closing line value rate. The transparency is intentional — you should see what systematic betting actually looks like over a real sample, not just the highlight reel.

If this framework resonates, I run a weekly mentorship where I teach the complete system — EV math, data sourcing, bankroll management, and how to build your own client base if you want to turn this into income.

1-day free trial is open. Link in the profile above.

Welcome to the program. This is pinned at the top for a reason — read it before anything else.

Your first 24 hours:

1. Start the Course now — Module 1 is required before Module 2. The 4-Layer Filter System is Module 2. Do not skip.

1. Jump into Members Chat — introduce yourself and ask any questions. I'm in there daily.

1. Bookmark the Weekly KPI Updates tab — every Monday I post my full week results: win rate, ROI, average edge at placement, and CLV rate. I document everything — good weeks and bad weeks.

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What this program is:

A systematic EV-positive approach to NBA player props. You will learn to identify pricing errors in sportsbook lines, calculate your edge precisely, size bets correctly, and track performance metrics like a professional operator.

What this program is not:

A picks service. Zero picks are sold here. You will learn to find your own edges — and eventually build your own system capable of generating clients.

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Your Week 1 objective: Complete Modules 1 and 2. Run the 4-Layer Filter on at least 5 props from the current slate. Log every result in the KPI tracker template even if you don't bet them. The habit compounds into the edge.

Glad you're here. Now lock in. 💰