Texas Senate be Ken Paxton wins AND Maine Senate be Susan Collins wins for Nov 2026 priced at 25.0% on Kalshi, down 4.0 points, on $794K traded
PredictionBubbles' movers board lists the two-state Senate combo contract among its downward political moves, in a political/election category distinct from the lead. It…
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A Kalshi contract pairing Senate victories for Ken Paxton in Texas and Susan Collins in Maine in Nov 2026 was priced at 25.0%, down 4.0 probability points over 24 hours, with $794K traded. According to PredictionBubbles, the combined-outcome contract appeared among the movers board’s declining political markets.
A joint outcome, not two separate odds
The contract concerns both candidates winning their respective races. Its 25.0% price therefore represents the market-implied probability of that combined result, rather than an individual victory probability for either Ken Paxton or Susan Collins.
The supplied material does not identify a catalyst for the decline or provide separate prices for the two Senate races. It consequently does not establish whether the repricing reflects a change in expectations for Texas, Maine or both.
How the move is measured
According to PredictionBubbles, the board measures changes over 24 hours in probability points and updates every 15 minutes using prices from Polymarket and Kalshi. The supplied snapshot records venue data retrieved on 26 Oct 2026, 13:43 UTC.
The board covers 2,002 markets with lifespans longer than 14 days and excludes markets without a valid 24-hour comparison. Trading volume provides context but does not affect the movement ranking, which is determined by the absolute size of the probability-point change.
What it means for prediction markets
The decline applies to the pairing. It cannot, on its own, show how much either candidate’s individual election prospects changed.
The move is 4.0 points, not 4.0%. The board measures the difference in implied probability rather than the relative percentage change in price.
Volume and movement answer different questions. The $794K traded figure adds activity context, but the supplied material does not establish order-book depth or explain the repricing.