TOTAL VOLUME:
$154.4b
24H VOL:
$245,801,863
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,902,097,102
417,059
Markets across
40,178
events
MATCHED EVENTS:
4,415
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 11, 4:13 PM EST
Kalshi
Indianapolis meets Pittsburgh in a contest that could test both teams' resilience. Overtime becomes a possibility if scoring remains balanced through the final minutes, showcasing the unpredictable nature of professional football on any given Sunday.
If the Indianapolis vs Pittsburgh Pro Football game originally scheduled for Oct 11, 2026 goes to overtime, then the market resolves to Yes.
Typically, prediction market odds offer a different perspective than those found at sportsbooks. Sportsbooks often incorporate a 'vig' or commission into their odds, representing their profit margin. This market, driven by the collective predictions of traders, aims to represent the true probability of the event occurring. While sportsbooks may initially set odds based on statistical models and expert analysis, this market dynamically adjusts as new information and opinions are factored in by participants. Discrepancies can arise due to differing risk assessments and the influence of public sentiment.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their belief about whether the Indianapolis versus Pittsburgh game will go to overtime. The price of a contract reflects the probability of that outcome, with higher prices indicating a greater likelihood. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders set the odds by placing bids and asks, and the market price fluctuates based on supply and demand. This dynamic pricing mechanism allows the market to aggregate information and reflect the collective wisdom of the crowd.
This market resolves around Oct 11, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will depend on whether the Indianapolis versus Pittsburgh game officially goes into overtime, as determined by the official game results. The final score and official game statistics will be used to verify the outcome. Traders who correctly predicted whether the game would go to overtime will receive a payout based on the final market price at resolution.
Several factors could influence the price of this market. Any news regarding injuries to key players on either the Indianapolis or Pittsburgh teams would likely have a significant impact. Changes in weather forecasts, particularly if severe weather is predicted, could also shift the odds. Late-breaking news about coaching strategies or team morale could also move the market. Furthermore, large trading volume from informed participants could signal a shift in sentiment and cause the price to fluctuate before the game concludes.