Drake Maye win the MVP priced at 3.0% on Kalshi, down 3.0 points, on $1.7M traded
No significant new platform headline in the last 30 minutes; news search recirculated only items already used, banned or web-held today (the NBA preferred-partner deal…
Drake Maye’s probability of winning the MVP was priced at 3.0% on Kalshi, down 3.0 percentage points, with $1.7M traded, according to the supplied market headline published Oct 29, 2026, at 8:24 AM ET.
A lower market price, without an identified catalyst
The supplied news summary identified no significant new platform headline in the preceding 30 minutes. It did not establish a reason for the change in Maye’s price, so the decline cannot be attributed to a specific development from the material available.
According to predictionbubbles.net, its movers dashboard measures probability-point changes over 24 hours using prices from Polymarket and Kalshi. The supplied page records a venue-data snapshot dated 29 Oct 2026, 12:08 UTC, and says the dashboard updates every 15 minutes.
What the figures establish
The dashboard ranks moves by their absolute size in probability points, rather than by relative percentage changes, according to predictionbubbles.net. On that basis, the headline’s 3.0-point decline describes a change in the market’s implied probability—not a 3.0% relative fall.
The $1.7M traded figure provides activity context, but the supplied headline does not specify its measurement period. Nor does the supplied page excerpt include a Maye-specific listing or order-book detail. Those limits matter: traded volume alone does not establish how much liquidity was available when the price moved.
What it means for prediction markets
- Separate price from explanation: The 3.0% reading documents market pricing; the supplied material does not identify the catalyst.
- Keep the units straight: The reported decline is 3.0 percentage points, not 3.0% in relative terms.
- Treat volume as context: The $1.7M figure does not, by itself, establish market depth or explain the repricing.
Sources & attribution
- [1]Predictionbubbles (predictionbubbles.net)https://predictionbubbles.net/markets/movers/
Date & time:
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