TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 13, 5:24 PM EST
Kalshi
This set of markets focuses on predicting which Green Bay player or unit will score the first touchdown in an upcoming football game against Minnesota. Each market corresponds to a specific player or the defensive unit, with outcomes determined by game performance.
Each market resolves based on whether the specified Green 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 fair market price determined before the game starts. Once the player takes at least one snap—regardless of whether the play is nullified by a penalty—the market outcome depends solely on whether that player scores the first Green Bay touchdown. If no Green Bay touchdowns are scored during the game, the 'No Green Bay Touchdown' market resolves to Yes, and all individual player markets resolve to No. These rules apply uniformly across all player-specific markets, ensuring consistent resolution criteria for each participant.
On Kalshi, this market is priced through a continuous auction mechanism where traders buy and sell contracts representing different outcomes. 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 people trade, the prices adjust, providing a real-time assessment of expectations. The current price indicates how much it costs to own a contract that pays out if a specific player scores the first touchdown, and reflects the collective belief of all traders on the platform.
This market resolves around Sep 14, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on which player officially scores the first touchdown in the game, as recorded by official game statistics. The platform will verify this information against trusted sources to determine the winning outcome and distribute payouts to those who correctly predicted the first player to reach the end zone. Traders should monitor official game results following the event to understand the resolution.
Several factors could significantly impact this market. Any news regarding player injuries, particularly to key offensive players like the starting quarterback or wide receivers, would likely cause shifts in the odds. Changes in weather forecasts, such as heavy rain or strong winds, could also influence expectations about scoring opportunities. Finally, any late-breaking news about team strategies or coaching decisions could also move the market as traders adjust their predictions based on the latest information available before the game.