SimpleFunctions
20 contractsKalshi + Polymarketrefreshed 9 min agoCloses Nov 7, 2029 · 1284d1pp · 37h

Who will be the #1 chess player according to the May 2026 FIDE World Top Players (top 100 players) Standard Rating List

Liquidity-weighted aggregate sits at 25% across 20 contracts. Kalshi at 26%, Polymarket at 6% — a 20pp cross-venue gap.

Implied probability

25%
0%50%100%

Kalshi

26%

19 contracts

Polymarket

6%

1 contract

Cross-venue gap

20pp

wide divergence

24h move

+1pp

37h ago

24h volume

$246K

20 contracts

Closes

Nov 7, 2029

1284 days

30-day trend

0%50%100%-30d-3w-2w-1wtodayAggregate: 27% (26 days, 26 points)Aggregate: 27% on 2026-05-03
Aggregate of 20 contracts · 26d

Cross-venue edge

Kalshi 26¢ · Polymarket 6¢ · 20pp spread

Buy on Polymarket (6¢, 1 contract) and sell on Kalshi (26¢) — assuming both contracts settle on the same outcome.

Bracket families

2 clusters across 20 contracts.

These contracts were grouped by title similarity. The headline aggregate combines all clusters; verify the cluster you actually need before quoting a number.

Cluster 1

Who will win

14 contracts$215K

Cluster 2

Who will be

6 contracts$31K

Analysis

This probability reflects the likelihood that a single player will hold the highest standard rating on the May 2026 FIDE World Top Players list. The 24% probability suggests meaningful uncertainty about rating leadership despite recent dominance patterns in elite chess. The market's assessment likely reflects two competing forces: the typical stability of the #1 ranking among top players with rating gaps of 10-15 points, versus recent volatility in the elite chess landscape where multiple players have held the top spot. The May 2026 FIDE rating list publication will definitively resolve this market, with no interim data releases changing the outcome. Players trade wins and losses in classical tournaments throughout the rating period, gradually shifting their ratings up or down relative to peers.

  • Current May 2026 FIDE standard rating list composition and the specific player currently rated #1
  • Rating distribution gap between the top-ranked player and second place, with larger margins suggesting greater stability
  • Classical tournament results and rating changes across the elite chess field during the 2024-2026 rating period
  • Whether recent #1 players have maintained competitive tournament activity or taken extended breaks affecting rating momentum
  • The specific title holder's historical rating volatility and head-to-head performance against other top-10 players

What moved the line

  • Apr 29Bruno Fernandes17pp3350¢ · Kalshi
  • Apr 26Erling Haaland15pp3318¢ · Kalshi
  • May 3Bruno Fernandes14pp4329¢ · Kalshi
  • Apr 27Jannik Sinner9pp8089¢ · Kalshi
  • Apr 28Mike Vrabel8pp6876¢ · Kalshi

Recently closed in general

These markets stopped trading. Last odds and any captured outcome are shown above — full settlement detail lives at the venue.

More like this

Adjacent prediction questions.

How we compute these odds

SimpleFunctions aggregates live prediction-market contracts from Kalshi and Polymarket. Each slug groups contracts that resolve on the same underlying event, identified by venue event_id.

For binary slugs, the headline probability is the liquidity-weighted mid-price across all bound contracts. For multi-outcome slugs (e.g. elections with 3+ candidates), the headline is the leader’s price; we never arithmetically average disjoint outcomes — that would produce a number with no real-world meaning.

Snapshots refresh every 5 minutes during market hours; daily aggregates are computed at 04:00 UTC. The 30-day sparkline is drawn from per-ticker daily means stored in market_indicator_daily; 24h delta and movement events are derived from the same source.

Last updated on this page: 9 min ago.