Columbus wins priced at 99% on Kalshi
Up 62 points on $901K traded, the board's second-biggest upward move.
The Columbus win contract on Kalshi reached a market-implied probability of 99%, rising 62 probability points with $901K traded, according to PredictionBubbles. Its movers board placed the sports contract second among upward moves over the preceding 24 hours.
A sharp repricing, with limited event detail
The update, published Oct 18, 2026 at 7:54 PM ET, followed a board snapshot drawn from venue prices on 18 Oct 2026 at 23:45 UTC. PredictionBubbles refreshes its data every 15 minutes using prices from Kalshi and Polymarket.
The supplied material does not identify Columbus’s opponent, the competition, the contract’s settlement terms or a catalyst for the price change. The 99% reading therefore establishes how traders priced the contract at that snapshot, not confirmation of a win.
How the ranking works
According to PredictionBubbles, the board covers 2,026 markets lasting longer than 14 days. It excludes same-week fixtures to keep short-lived contracts approaching settlement from dominating the rankings, and requires open markets to have a valid 24-hour price comparison.
Rankings depend on the size of the probability-point change, not relative percentage gains or trading volume. The $901K traded provides context for Columbus’s move but does not determine its placement or, by itself, establish the depth of available liquidity.
What it means for prediction markets
- The move is measured in points: Columbus’s increase was 62 probability points, not a 62% relative gain.
- A 99% price is not a settled result: The supplied material does not establish that the underlying outcome has been confirmed.
- The ranking has a defined scope: Second-largest upward mover refers to PredictionBubbles’ eligible market universe, not every contract on Kalshi and Polymarket.
- The cause remains unspecified: Without event details or settlement terms, the price and volume alone cannot explain why traders repriced Columbus so sharply.
Sources & attribution
- [1]Predictionbubbles (predictionbubbles.net)https://predictionbubbles.net/markets/movers/
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