TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 18, 2:00 PM EST
Kalshi
For the Pittsburgh vs Tampa Bay NFL game, this event examines if both teams find the scoreboard in the first quarter. Points from any valid scoring play count, offering insight into the opening period's competitive intensity and strategic execution.
If Pittsburgh and Tampa Bay both score points in the 1st quarter of the Pittsburgh vs Tampa Bay Pro Football game originally scheduled for Oct 18, 2026, then the market resolves to Yes.
Typically, prediction market odds offer a distinct perspective compared to traditional sportsbook odds. Sportsbooks often incorporate a 'vig' or commission into their odds, which represents their profit margin. This market, driven by the collective wisdom of traders, aims to represent the true probability of the event occurring. While sportsbook odds may initially differ, they often converge closer to prediction market prices as the event approaches, as sportsbooks adjust their lines based on betting action and new information. However, discrepancies can still exist due to differing risk assessments and market dynamics.
On Kalshi, this market is priced using a continuous double auction, meaning traders buy and sell contracts representing 'Yes' or 'No' outcomes. The price of each contract fluctuates based on supply and demand. As more traders believe both teams will score in the first quarter, the 'Yes' contract price increases, and the 'No' contract price decreases, 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 likelihood of that outcome. Traders are incentivized to provide accurate predictions, as profitable trades are rewarded.
This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the resolution will depend on whether both the Pittsburgh and Tampa Bay teams have scored at least one point each during the first quarter of their game. Official game statistics from a reputable source will be used to determine the final result. The market will then pay out to those who correctly predicted whether both teams would score in the first quarter, based on the final contract prices at resolution.
Several factors could influence the price of this market. News regarding key player injuries for either the Pittsburgh or Tampa Bay teams would likely have a significant impact. Unexpected changes in weather conditions, such as heavy rain or strong winds, could also affect scoring potential. Furthermore, any late-breaking news about coaching strategies or team morale could shift trader sentiment. Finally, as the game approaches, any public analysis or expert predictions regarding the likely scoring patterns could also contribute to price movements in this market.