Villarreal wins priced at 1.0% on Kalshi, down 16 points, on $802K traded

The Villarreal win contract on Kalshi was priced at 1.0%, down 16 probability points, with $802K traded, according to the supplied market headline published Oct 20, 2026, at 5:54 PM ET. PredictionBubbles’ movers board placed it among the largest downward moves in sports, according to the accompanying summary.

A sharp change in pricing

PredictionBubbles measures moves over 24 hours in probability points, rather than relative percentages. The reported 16-point decline therefore describes a change in the contract’s implied probability, not a 16% relative fall.

The supplied board snapshot was drawn from venue prices on 20 Oct 2026, 21:46 UTC. According to PredictionBubbles, the page refreshes every 15 minutes and covers both Kalshi and Polymarket.

What the available data establishes

The board ranks 1,981 markets lasting longer than 14 days, according to PredictionBubbles. It excludes same-week fixtures to avoid having short-lived contracts dominate the rankings as their outcomes become decided. Only open contracts with a valid 24-hour comparison qualify.

The supplied material does not identify the precise Villarreal event, its settlement terms or a reason for the decline. The extracted source page also does not include the individual Villarreal listing, limiting independent confirmation of the headline’s contract-specific figures.

PredictionBubbles ranks moves by their size, without adjusting for volume or liquidity. The $802K traded figure supplies activity context, but the available material does not establish order-book depth or explain which trades drove the repricing.

What it means for prediction markets

• Price is not resolution: The reported 1.0% implied probability indicates a low-priced outcome, not a settled contract.
• Units matter: The decline is 16 probability points over the board’s 24-hour measurement window, not a 16% relative decrease.
• The catalyst remains unidentified: Without the event details, settlement rules or supporting news, the move alone cannot establish why traders changed their pricing.