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Lilli Tagger wins priced at 92.0% on Kalshi, on $1.1M traded

PredictionBubbles' movers board lists the Tagger win contract among its most active markets today, in a sports markets category distinct from the lead — it has zero hits…

Tagger contract draws heavy trading

The Kalshi contract on a Lilli Tagger win was priced at 92.0%, with $1.1M traded, in the supplied snapshot published Oct 21, 2026, at 2:54 AM ET. According to PredictionBubbles, the contract appeared among the day’s most active markets in its sports category.

That placement signals trading activity, not necessarily a sharp change in expectations. PredictionBubbles ranks its most-active section by 24-hour traded volume, separately from its rankings of probability moves.

Volume and repricing are different signals

According to PredictionBubbles, the board draws prices from Polymarket and Kalshi and updates every 15 minutes. The supplied page records its venue-data snapshot as 21 Oct 2026, 06:37 UTC.

Its movement rankings measure absolute changes in implied probability over 24 hours, expressed in probability points rather than relative percentages. Volume does not affect those rankings, and a market must change by at least one probability point to qualify as moving.

The supplied material does not identify Tagger’s opponent, the event, the contract’s settlement terms or its 24-hour probability change. It therefore supports a report of a high implied win probability and substantial trading activity, but not an explanation of what drove the price or whether it had recently risen.

What it means for prediction markets

  • Price is not momentum: The 92.0% reading captures the contract’s implied probability at the reported snapshot; it does not establish a recent upward move.
  • Activity is a separate measure: The $1.1M traded and most-active placement indicate turnover, not the size or direction of repricing.
  • Contract context remains incomplete: Without the event details, settlement terms and price history, the supplied material cannot establish why traders assigned Tagger that probability.
PredictionMarketsKalshi

Sources & attribution

  1. [1]Predictionbubbles (predictionbubbles.net)https://predictionbubbles.net/markets/movers/

Date & time:

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