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WC26 Picks
World Cup 2026 score predictions, set to your pool's rules
WC26 Picks predicts the most points-winning score for all 104 World Cup matches, and re-optimises every pick for your office pool's scoring rules. It's a calibrated stats model, open source, and honest about its accuracy (roughly level with the bookies). Free preview, £7 to unlock the rest.
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About WC26 Picks on Product Hunt
“World Cup 2026 score predictions, set to your pool's rules”
WC26 Picks was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #51 on the daily leaderboard. WC26 Picks predicts the most points-winning score for all 104 World Cup matches, and re-optimises every pick for your office pool's scoring rules. It's a calibrated stats model, open source, and honest about its accuracy (roughly level with the bookies). Free preview, £7 to unlock the rest.
WC26 Picks was featured in Open Source (68.4k followers), Analytics (172.1k followers), Sports (11.3k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 53.4k products, making this a competitive space to launch in.
Who hunted WC26 Picks?
WC26 Picks was hunted by Jay Dhamija. 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.
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Hi Product Hunt. I built WC26 Picks over the last 6 months.
It started with office World Cup pools, where everyone guesses scorelines and
the winner is mostly down to luck. This gives you the score most likely to win
you points in each match, and you can set your pool's exact scoring so every
pick suits your rules.
The honest bit: it's a real calibrated model (Dixon-Coles, Pi-rating, some ML),
but on test data it's about level with bookmaker odds, not better. It's open
source and I publish the accuracy numbers, so nothing's hidden.
Free preview covers Matchday 1. Full tournament is £7. Code-curious folks: the
repo's linked. Would love your feedback on the pool-scoring feature.