Raphael Collignon wins priced at 99.0% on Kalshi
Up 57 points on $1.5M traded, biggest move of the day.
Collignon contract reaches 99.0%
The Kalshi market for Raphael Collignon to win was priced at 99.0% as of Oct 20, 2026 · 4:24 PM ET, according to the supplied market summary. It reported a 57-point increase on $1.5M traded, describing the contract as the day’s biggest mover.
The figures indicate a sharp shift toward a win, but the supplied material does not identify the opponent, event or catalyst. Nor does it provide a result or confirm that the contract has settled.
How the movement is measured
According to predictionbubbles.net, its movers board compares market-implied probabilities over 24 hours, ranking changes by their absolute size in probability points—not relative percentage gains. Trading volume provides context but does not determine placement.
The supplied page lists a venue-data snapshot of 20 Oct 2026, 20:15 UTC and says it refreshes every 15 minutes using prices from Polymarket and Kalshi. Its stated coverage comprises 1,979 markets lasting longer than 14 days, excluding same-week fixtures and markets without a valid 24-hour comparison.
The source excerpt does not contain a Collignon-specific listing, so it does not independently establish the summary’s price, volume or biggest-mover designation. That limits what can be concluded about the contract’s position within the board’s stated coverage.
What it means for prediction markets
- Price is not a result: A 99.0% implied probability signals strong market confidence, not confirmation that Collignon has won.
- The move is measured in points: The reported 57-point rise describes a change in implied probability, not a 57% relative increase.
- Volume and liquidity are different: The reported $1.5M traded adds activity context, but the material provides no order-book depth or explanation for the repricing.
- Key context remains missing: Without the event details and settlement terms, readers cannot determine how close the contract is to resolution.
Sources & attribution
- [1]Predictionbubbles (predictionbubbles.net)https://predictionbubbles.net/markets/movers/
Date & time:
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