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The Path to Mojo 1.0

https://www.modular.com/blog/the-path-to-mojo-1-0
1•tosh•1m ago•0 comments

Show HN: I'm 75, building an OSS Virtual Protest Protocol for digital activism

https://github.com/voice-of-japan/Virtual-Protest-Protocol/blob/main/README.md
3•sakanakana00•5m ago•0 comments

Show HN: I built Divvy to split restaurant bills from a photo

https://divvyai.app/
3•pieterdy•7m ago•0 comments

Hot Reloading in Rust? Subsecond and Dioxus to the Rescue

https://codethoughts.io/posts/2026-02-07-rust-hot-reloading/
3•Tehnix•8m ago•1 comments

Skim – vibe review your PRs

https://github.com/Haizzz/skim
2•haizzz•9m ago•1 comments

Show HN: Open-source AI assistant for interview reasoning

https://github.com/evinjohnn/natively-cluely-ai-assistant
3•Nive11•9m ago•4 comments

Tech Edge: A Living Playbook for America's Technology Long Game

https://csis-website-prod.s3.amazonaws.com/s3fs-public/2026-01/260120_EST_Tech_Edge_0.pdf?Version...
2•hunglee2•13m ago•0 comments

Golden Cross vs. Death Cross: Crypto Trading Guide

https://chartscout.io/golden-cross-vs-death-cross-crypto-trading-guide
2•chartscout•16m ago•0 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
3•AlexeyBrin•18m ago•0 comments

What the longevity experts don't tell you

https://machielreyneke.com/blog/longevity-lessons/
2•machielrey•20m ago•1 comments

Monzo wrongly denied refunds to fraud and scam victims

https://www.theguardian.com/money/2026/feb/07/monzo-natwest-hsbc-refunds-fraud-scam-fos-ombudsman
3•tablets•24m ago•0 comments

They were drawn to Korea with dreams of K-pop stardom – but then let down

https://www.bbc.com/news/articles/cvgnq9rwyqno
2•breve•27m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•29m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
2•pastage•29m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
2•billiob•30m ago•0 comments

Reverse Engineering Medium.com's Editor: How Copy, Paste, and Images Work

https://app.writtte.com/read/gP0H6W5
2•birdculture•35m ago•0 comments

Go 1.22, SQLite, and Next.js: The "Boring" Back End

https://mohammedeabdelaziz.github.io/articles/go-next-pt-2
1•mohammede•41m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•43m ago•1 comments

Slop News - The Front Page right now but it's only Slop

https://slop-news.pages.dev/slop-news
1•keepamovin•47m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•49m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
4•tosh•55m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
4•oxxoxoxooo•59m ago•1 comments

Show HN: Invoxo – Invoicing with automatic EU VAT for cross-border services

2•InvoxoEU•59m ago•0 comments

A Tale of Two Standards, POSIX and Win32 (2005)

https://www.samba.org/samba/news/articles/low_point/tale_two_stds_os2.html
4•goranmoomin•1h ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

4•throwaw12•1h ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
3•senekor•1h ago•0 comments

OpenAI's Latest Platform Targets Enterprise Customers

https://aibusiness.com/agentic-ai/openai-s-latest-platform-targets-enterprise-customers
2•myk-e•1h ago•0 comments

Goldman Sachs taps Anthropic's Claude to automate accounting, compliance roles

https://www.cnbc.com/2026/02/06/anthropic-goldman-sachs-ai-model-accounting.html
4•myk-e•1h ago•5 comments

Ai.com bought by Crypto.com founder for $70M in biggest-ever website name deal

https://www.ft.com/content/83488628-8dfd-4060-a7b0-71b1bb012785
1•1vuio0pswjnm7•1h ago•1 comments

Big Tech's AI Push Is Costing More Than the Moon Landing

https://www.wsj.com/tech/ai/ai-spending-tech-companies-compared-02b90046
6•1vuio0pswjnm7•1h ago•0 comments
Open in hackernews

Ask HN: How Can I Learn to Analyze Sports Statistics and Calculate Odds?

2•proudmo•4mo ago
I'm really interested in understanding how statistics and probability theory apply to sports, particularly in calculating odds (like in betting markets or predictive modeling). I'm not looking to gamble, I'm more interested in the math, models, and real-world data challenges behind it.

Where would be a good place to start for someone with a general understanding of math and some programming experience? Are there open datasets, books, blogs, or academic papers that you'd recommend? I'm also curious how professionals in this space (like sports analysts or data scientists) approach modeling player/team performance and factoring in uncertainty.

If you work in this area or have dabbled in it as a hobby, I’d love to hear how you got started.

Comments

vgeek•4mo ago
The Logic of Sports Betting by Ed Miller is probably a good start.

Parimutuel vs house odds is probably a good start in seeing how odds change in different types of markets. Monte Carlo simulations will be useful in coming up with your own tissue odds. Then it is the matter of backtesting and comparing your derived odds versus the books' by looking at things like Closing Line Value, Margin of Error and Return on Investment.

For data, check out Kaggle. Learn how to scrape and circumvent platforms like PerimeterX, Recaptcha and Cloudflare. There are dozens of sites that provide historical odds data, even more basic sports statistic data.