TOTAL VOLUME:
$134.2b
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OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
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Closed: Sep 20, 3:51 PM EST
Kalshi
This event tracks which player or team unit will score the first touchdown for Cleveland in their upcoming matchup against Tampa Bay. It covers all potential offensive contributors, including individual players and the defensive unit, providing a comprehensive view of possible scoring scenarios.
The event determines whether any specified Cleveland player, the Cleveland defensive unit, or no touchdown at all will score the first touchdown in the Cleveland vs Tampa Bay game scheduled for September 20, 2026. Each market corresponds to a specific participant: individual players (Raheim Sanders, Quinshon Judkins, Jaleel McLaughlin, Isaiah Bond, Harold Fannin Jr., Denzel Boston, Jerry Jeudy, Deshaun Watson), the Cleveland defensive unit (CLE Browns D/ST), or a 'No Touchdown' outcome. A market resolves to 'Yes' if the designated participant scores the first touchdown for Cleveland. If a participant is active but does not take a snap, the market settles at the fair market price before the game starts. Once a participant takes at least one snap, the market outcome depends solely on whether they score the first Cleveland touchdown. If Cleveland fails to score any touchdowns during the game, the 'No Touchdown' market resolves to 'Yes,' and all other participant markets resolve to 'No.' The governing rules ensure clarity regarding participant involvement and scoring resolution, while disclaimers note that the platform is not officially connected with the governing league.
Generally, prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market aggregates the beliefs of numerous individual traders. Therefore, you might observe discrepancies between the implied probabilities in this market and those offered by sportsbooks. These differences can arise from varying information sources, biases, or simply the collective intelligence of the prediction market participants. It’s valuable to compare both to form a well-rounded view.
On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing different players to score the first touchdown, and the price of each contract reflects the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information becomes available, the prices adjust accordingly, creating a dynamic and real-time assessment of the likelihood of each player scoring first. The current price represents the cost to purchase a contract that pays out if that player scores the first touchdown.
This market resolves around Sep 20, 2026, following the conclusion of the football game between Cleveland and Tampa Bay. The outcome will be determined by identifying which player officially scored the first touchdown, as verified against credible public reporting from official game statistics. The platform will then confirm the winning contract and process payouts to those who correctly predicted the first touchdown scorer. It’s important to note that any touchdowns scored during overtime will be considered for resolution purposes.
Several factors could influence the price movement of this market. Any news regarding player injuries to key offensive players on Cleveland, particularly the running back or wide receiver positions, would likely have a significant impact. Changes in the projected weather conditions for the game could also shift expectations, favoring either a passing or running game strategy. Furthermore, any late-breaking news about the opposing team’s defensive strategies or key player matchups could also cause the market to react. Finally, general shifts in public sentiment or expert analysis could also contribute to price fluctuations.