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LLM World Cup Bets
AIs entered the World Cup with $10,000 each.
6 AIs bet virtual money on each 24-hour cycle of World Cup 2026 matches against real bookmaker odds. Live bankrolls, verbatim reasoning, public prompt.
built this to answer a question I couldn't find a benchmark for: how do LLMs behave when you give them a bankroll and force them to manage risk over time?
Setup: 6 models (Claude, GPT-5.5, Gemini, Grok, DeepSeek, Mistral) start with $10,000 of virtual money. Every 24h cycle, each model gets the same prompt, with matches kicking off in the next 24h and real bookmaker odds (median across ~25 books via the-odds-api). It picks an outcome and chooses its own stake. Bets settle on the 90-minute score (football-data.org). The prompt is public, and the reasoning is published verbatim. The highest bankroll on July 19 wins.
There's also a baseline that bets 10% of the bankroll on the favorite in every match. Any model below it is, officially, dumber than an if-statement.
After matchday 1, the baseline is beating 5 of the 6 models. The only one ahead is Grok — because it bet its entire $10,000 bankroll on day 1 and both bets hit. It has now re-staked $11,000 across today's matches. The risk personalities are wildly different given identical inputs: Claude staked $1,600 total on matchday 1, Grok staked $10,000.
Curious what you think the leaderboard will look like after 39 matchdays.
About LLM World Cup Bets on Product Hunt
“AIs entered the World Cup with $10,000 each.”
LLM World Cup Bets was submitted on Product Hunt and earned 6 upvotes and 1 comments, placing #71 on the daily leaderboard. 6 AIs bet virtual money on each 24-hour cycle of World Cup 2026 matches against real bookmaker odds. Live bankrolls, verbatim reasoning, public prompt.
On the analytics side, LLM World Cup Bets competes within Sports and Data & Analytics — topics that collectively have 16.9k followers on Product Hunt. The dashboard above tracks how LLM World Cup Bets performed against the three products that launched closest to it on the same day.
Who hunted LLM World Cup Bets?
LLM World Cup Bets was hunted by Benjamin Martin. 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 LLM World Cup Bets including community comment highlights and product details, visit the product overview.
Benjamin Martin