Education & Reference
acceptodds
Last updated 2026-10-06 · benchmark measured 2026-10-06 — deterministic & reproducible
A prediction market where researchers bet on which papers will be accepted at ICLR.
acceptodds at a glance
AcceptOdds is a free prediction market website where researchers use play-money called $rep to bet on whether papers submitted to machine learning venues like ICLR will be accepted or rejected.
Good for
- Researchers who want to predict or follow the likely outcomes of paper decisions at ML conferences
- Paper authors curious about how the community rates their submission's acceptance chances
- Conference participants who enjoy following leaderboards and market-based predictions for fun
Pricing
Free to play; every new account gets 1,000 $rep (an in-app currency) to start trading.
Questions people ask
What is AcceptOdds?
It's a prediction market where users trade an in-app currency called $rep on whether papers submitted to machine learning venues will be accepted or rejected.
Is AcceptOdds affiliated with ICLR or OpenReview?
No, it has no connection to ICLR, OpenReview, or any other organization; it is a game made for fun.
Does it cost money to use?
No, it is free to play, and every signup receives 1,000 $rep to trade with in each venue.
When do the markets settle?
Each market settles when the venue publishes its official accept or reject decisions.
Is the source code available?
Yes, AcceptOdds is an open source project, open to contributions, hosted on GitHub at github.com/benedict-armstrong/acceptodds.
Written by Legit.Show from acceptodds.com on 2026-10-10. It does not change the score.
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To cite this score: legit.show/s/acceptodds-com/2026-10-06. That address never changes; this page moves with every re-measure.
Legit.Show scored acceptodds 84/100 on 2026-10-06, measured across all 7 frames from its public surface. legit.show/s/acceptodds-com/2026-10-06
Is acceptodds production-ready?
Legit.Show scores acceptodds 84 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on acceptodds (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Reliability; its weakest is Discoverability. Every frame it averages is published with its evidence on the Legit.Show listing.
The 7 Frames
- Performance — 98/100
- Accessibility — 92/100
- Security — 80/100How this compares across the catalogue: The Web Security Baseline
- Privacy — 70/100How this compares across the catalogue: The Privacy Gap
- Reliability — 100/100
- Standards — 92/100
- Discoverability — 57/100
What we measured
- Security headers present: HSTS, X-Frame-Options, X-Content-Type-Options, Referrer-Policy.
- No Content-Security-Policy.
- Served over HTTPS with a valid certificate.
- Real Lighthouse performance run — 1036 ms to first byte.
- Returns a proper 404 for unknown routes.
- 3 of 3 sampled routes reachable.
- Has a reachable privacy policy.
- Sets cookies / loads scripts with no consent prompt.
Who it's for
Researchers · Academic community · ML/AI scientists · Conference participants · Paper authors
Pricing
Free to play (1,000 $rep starting balance)
Sources and updates
- Description
- Taken from acceptodds.com's own website on 2026-10-06.
- Benchmark
- Measured by Legit.Show from the live site, the way any visitor sees it — with no access to its code or accounts. Same method for every product, and no AI decides the score. Last checked 2026-10-06.
Put together from public information, without acceptodds's involvement. If anything here is wrong, tell us and a person will check it.
Visit acceptodds → · Alternatives to acceptodds → · How this was measured →