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The thinking behind smarter betting
Moddy insights
In-depth guides, strategy breakdowns, AI and modeling insights, and commentary on what separates skill from luck
Featured insights
Moddy POV
What sailing taught me about predicting the future
Before every passage at sea, I learned to trust model consensus over instinct — a lesson that ultimately shaped how we built Moddy.
Why ChatGPT can’t predict outcomes — and what actually can
Large language models generate convincing answers — but they aren’t built to forecast outcomes. Here’s why real predictive AI looks very different.
AI & modeling
Why the smartest predictions never come from a single model
The strongest predictions don’t come from one model — they emerge when diverse systems work together to reduce bias and sharpen accuracy.
AI & modeling
Insight that compounds
Moddy POV
Kalshi's best NFL weekend yet comes with a side of legal chaos
NFL kickoff turned into a record-setting week for prediction markets, and the Kalshi legal fight just got a lot more complicated. Here's what's changed since our last update.
Moddy POV
You already have a prediction model in your head
The best prediction model creators aren't necessarily data scientists. They're sharp sports thinkers who've been running mental models for years without infrastructure to test them. Moddy handles the math. You bring the thesis.
Moddy POV
The Rundown and The Read: Moddy's AI Betting Analysis
You've got thousands of picks and one real question: what do you actually bet? Moddy's Rundown and Read rebuild your Top Picks list every hour, flag the bets that quietly contradict each other, and argue the other side on every single card. It's the only betting tool that'll tell you when it's got nothing.
Moddy POV
If everyone has the same analytics, does it cancel out? No, and here's why.
The edge was never in having data. It's in the model you build to interpret it.
Moddy POV
The bettor deserves better
Bad UX in sports betting isn't just a beginner problem. It fails newer bettors and experienced bettors differently — one through exclusion, one through obscurity. Good design isn't a nice-to-have. It's a philosophical position about who you're actually building for.
Moddy POV
In sports betting, transparency is rare. That's not an accident.
The sports betting picks industry is built on information asymmetry. Opacity isn't a bug — it's the business model. Here's what gets hidden, why it happens, and what the alternative looks like.
Moddy POV
Sports betting or trading? Understanding futures, prediction markets, and where Moddy fits
Sports betting and financial trading are beginning to converge. Here’s what’s actually changing — and why the real edge is moving from platforms to intelligence.
AI & modeling
One model for every sport is sportsball thinking
Sports betting modeling has two main schools: generic cross-sport prediction and market-microstructure strategies. Both exist because outcome-level modeling was team-only work. With 250M data points and a model population, there's a third way.
AI & modeling
The AI pundit room behind Moddy's Top Picks
Most AI betting tools are a single model or a chatbot wrapper. Moddy runs hundreds of models producing 3,500+ picks every day, and our hardest engineering problem isn't generating them — it's surfacing the best ones. Meet the AI pundit room that does it.
Moddy POV
Vibe coding a sports prediction model is easy. Building one that actually works is not.
Everyone's building AI sports prediction tools in 24 hours. But there's a difference between a model that looks like it's finding edge and one that actually is — and a viral experiment involving Dwayne Johnson explains exactly why.
AI & modeling
Every pitch is a row: how Moddy's raw MLB events let you ask questions nobody else can answer
Every aggregated MLB stat had its question baked in years ago. Raw events flip the model — every pitch is a row with 20+ tags. Seven example formulas show what's possible when you write the question yourself instead of consuming someone else's.
AI & modeling
Every Moddy model is actually thousands of models
Building a sports prediction model is actually three problems: building something predictive, figuring out how to bet on it profitably, and proving the edge is real. Most tools solve one. Here's how Moddy solves all three — and what's happening under the hood when you build a model.
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