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Statlyzer
Pure mathematical football analytics.
A transparent football analytics engine powered by Poisson, Dixon-Coles & Monte Carlo simulations. We calculate exact probabilities across 8 variables. Key features: 1. Past Analyst: We log yesterday’s AI predictions vs actual results. Total transparency, no hidden misses. 2. Freemium: Get 2 Free Credits daily to fully analyze any 2 matches worldwide!
Hi Product Hunt! 👋 I'm Paul, the solo maker behind Statlyzer. A bit of background: I actually built this entire app and its backend architecture (PostgreSQL/Supabase) from the cabin of my truck during my driving breaks across Europe. 🚛💻 The Problem I wanted to solve: The sports analytics and prediction industry is broken. It's full of "experts" selling tips while completely hiding their lost bets. I wanted to build something based on pure, undeniable math, with absolute transparency. What Statlyzer does: It runs heavy Monte Carlo simulations, Poisson distribution, and Dixon-Coles models to calculate exact probabilities for football matches across 8 different variables (1X2, Over/Under, Cards, Corners, etc.). 🔥 Why I'm proud of it: The "Past Analyst" tab. It automatically logs yesterday's AI predictions against the actual real-world results. If the AI missed, you see it. No deleted data, no hidden stats. Just raw accuracy tracking. The app gives every user 2 Free Credits daily, which means you can run a full deep-dive analysis on any 2 matches on the globe, every single day, for free. I would absolutely love for this community to download it, test the UI, critique the math models, and give me your raw, honest feedback. I'll be here all day answering your questions!
P.S. A quick technical note: Statlyzer isn't just a static template; it's a living engine. Every night, after the final whistle, the system automatically ingests the new raw match data, learns from yesterday's variances, and recalibrates the Dixon-Coles parameters. The model you use today is mathematically smarter than it was yesterday! 📈
About Statlyzer on Product Hunt
“Pure mathematical football analytics.”
Statlyzer was submitted on Product Hunt and earned 17 upvotes and 15 comments, placing #37 on the daily leaderboard. A transparent football analytics engine powered by Poisson, Dixon-Coles & Monte Carlo simulations. We calculate exact probabilities across 8 variables. Key features: 1. Past Analyst: We log yesterday’s AI predictions vs actual results. Total transparency, no hidden misses. 2. Freemium: Get 2 Free Credits daily to fully analyze any 2 matches worldwide!
On the analytics side, Statlyzer competes within Android, Sports, Artificial Intelligence and Data & Analytics — topics that collectively have 548.1k followers on Product Hunt. The dashboard above tracks how Statlyzer performed against the three products that launched closest to it on the same day.
Who hunted Statlyzer?
Statlyzer was hunted by Iroveanu Paul. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Statlyzer including community comment highlights and product details, visit the product overview.
Iroveanu Paul
Hi Product Hunt! 👋 I'm Paul, the solo maker behind Statlyzer.
A bit of background: I actually built this entire app and its backend architecture (PostgreSQL/Supabase) from the cabin of my truck during my driving breaks across Europe. 🚛💻
The Problem I wanted to solve: The sports analytics and prediction industry is broken. It's full of "experts" selling tips while completely hiding their lost bets. I wanted to build something based on pure, undeniable math, with absolute transparency.
What Statlyzer does:
It runs heavy Monte Carlo simulations, Poisson distribution, and Dixon-Coles models to calculate exact probabilities for football matches across 8 different variables (1X2, Over/Under, Cards, Corners, etc.).
🔥 Why I'm proud of it:
The "Past Analyst" tab. It automatically logs yesterday's AI predictions against the actual real-world results. If the AI missed, you see it. No deleted data, no hidden stats. Just raw accuracy tracking.
The app gives every user 2 Free Credits daily, which means you can run a full deep-dive analysis on any 2 matches on the globe, every single day, for free.
I would absolutely love for this community to download it, test the UI, critique the math models, and give me your raw, honest feedback. I'll be here all day answering your questions!
P.S. A quick technical note: Statlyzer isn't just a static template; it's a living engine. Every night, after the final whistle, the system automatically ingests the new raw match data, learns from yesterday's variances, and recalibrates the Dixon-Coles parameters. The model you use today is mathematically smarter than it was yesterday! 📈