TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 25, 9:35 PM EST
Kalshi
This market tracks which player will score the first touchdown in the NFL game between the Kansas City Chiefs and the Seattle Seahawks on October 25th, excluding defensive or special teams scores and including overtime. Currently, the consensus probability that Will Jaxon Smith-Njigba will score first is 100.0%. This forecast aggregates data from Polymarket and Kalshi, and will resolve based on data reported at https://www.nfl.com/scores. Keep an eye on team injury reports leading up to October 25th, as player availability could significantly impact probabilities.
First Touchdown Scorer markets for Chiefs vs. Seahawks.
Each market resolves based on whether the specified player or unit scores the first touchdown of the game. If a participant is active but does not take a snap before the first touchdown, the market settles at the pre-game fair market price. Once a participant takes a snap, the market outcome depends solely on whether they score the first touchdown. If no touchdowns are scored in the game, the 'No Touchdown' market resolves to Yes, and all other markets resolve to No. Touchdowns scored on fake punts or field goals by the offensive team do not count for any market resolution.
Prices on Polymarket and Kalshi for this market can differ due to several factors. Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform has its own user base, trading limits, and fee structure, all of which can influence price discovery. Differences in liquidity and volume between the two venues also contribute to price discrepancies. Furthermore, the platforms may attract different types of traders—some more focused on short-term speculation, others on longer-term predictions. These varying dynamics can create temporary or sustained price divergences, even for the same underlying event.
Several signals could significantly impact this market. Any news regarding player injuries to key offensive players on either team—particularly those frequently targeted in the red zone—would likely cause shifts in probabilities. Changes in weather forecasts, specifically conditions that favor a passing or running game, could also influence trader sentiment. Late-breaking news about team strategies or coaching decisions, as well as significant betting activity in traditional sportsbooks, may also move the market as traders react to new information and adjust their predictions.