TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 20, 3:34 PM EST
Kalshi
These markets focus on predicting which Tampa Bay player or unit will score the first touchdown in an upcoming professional football game against Cleveland. Each market corresponds to a specific player or the defense, with outcomes determined by game events.
All markets resolve based on whether the specified Tampa Bay player or unit scores the first touchdown of the game. If the designated player is active but does not take any snaps, the market settles at the pre-game fair market price. Once a player takes a snap, resolution depends solely on whether they score the first Tampa Bay touchdown. If Tampa Bay fails to score any touchdowns during the game, the 'No Touchdown' market resolves to Yes, and all individual player markets resolve to No. These rules apply uniformly across all player-specific and defensive unit markets, ensuring consistent evaluation criteria for each potential scorer.
Typically, prediction market odds offer a different perspective than those found at sportsbooks. Sportsbooks often incorporate a 'vig' or commission into their odds, which represents their profit margin. This market, driven by the collective wisdom of traders on Kalshi, aims to represent the true probability of the event occurring. While sportsbooks may initially set odds based on statistical models and expert opinions, this market continuously adjusts based on real-money trading, potentially revealing discrepancies between public perception and professional analysis. It’s common to see differences emerge as new information becomes available.
On Kalshi, this market is priced using a continuous double auction. Traders buy 'yes' contracts if they believe a touchdown will be scored first by Tampa Bay, and 'no' contracts if they believe it will not. The price of these contracts fluctuates based on supply and demand. As more people buy 'yes' contracts, the price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price reflects the market's aggregate assessment of the probability of the event. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust expectations.
This market resolves around Sep 20, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the resolution will depend on identifying the first team to score a touchdown in the game. Official game statistics and play-by-play data will be used to determine which team achieved this first. The market will then settle based on whether that team was Tampa Bay or not, with the outcome verified against credible public sources. The final price will reflect the probability of the event as assessed by traders on Kalshi leading up to the game.
Several factors could significantly impact this market. Any news regarding injuries to key Tampa Bay offensive players, such as the quarterback or wide receivers, would likely cause the price to shift. Changes in weather conditions, particularly if they favor a strong running game or a passing attack, could also influence trading activity. Furthermore, updates on the opposing team’s defensive strategies or any unexpected developments during the game itself will be closely watched by traders on Kalshi, leading to potential price movements as they adjust their predictions.