TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 11, 5:39 PM EST
Kalshi
These markets track the number of receptions achieved by specific players in an upcoming NFL game between Indianapolis and Pittsburgh. Participants can bet on whether each player will reach certain reception thresholds, with payouts scaling based on actual performance. The structure allows for nuanced predictions about individual player contributions in the contest.
Each market operates as a scalar prediction mechanism where Yes contracts pay $0.05 per documented reception up to a maximum of $1.00, while No contracts receive the remainder of the $1.00 total payout. Payouts are capped at 20 receptions per player and calculated proportionally to each holder's position size. For instance, 8 receptions would yield Yes $0.40 and No $0.60, whereas zero receptions would result in Yes $0.00 and No $1.00. All markets resolve based solely on official game statistics, with Kalshi explicitly disclaiming any affiliation with the NFL or ownership of related intellectual property.
Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines. Sportsbooks set their odds based on statistical models and expert analysis, while this market aggregates the beliefs of many individual traders. As new information emerges—like injury reports or weather forecasts—prediction markets can adjust more quickly than traditional sportsbooks. It’s common to see discrepancies, especially closer to the event, as the market incorporates a broader range of factors and potentially more accurate insights than those considered by bookmakers. This dynamic can create opportunities for informed traders.
On Kalshi, this market is priced through a continuous order book, 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. Traders are incentivized to provide accurate predictions, as profitable trades are rewarded. The market depth—the number of buy and sell orders at various price points—indicates the level of agreement or disagreement among traders. This dynamic pricing mechanism allows the market to efficiently synthesize information and generate a forecast for the total receptions in the Colts-Steelers game.
This market resolves around Oct 11, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final number of receptions for each team will be sourced from official game statistics. The market will then determine which contracts payout based on the actual results of the Indianapolis Colts versus Pittsburgh Steelers game. It's important to note that the resolution process relies on publicly available data to ensure a fair and transparent outcome for all participants in this market.
Several factors could significantly impact this market. Any news regarding key player injuries—particularly to the quarterbacks or top receiving targets for either the Colts or the Steelers—would likely cause substantial shifts in the odds. Changes in weather forecasts, such as heavy rain or strong winds, could also influence the expected passing volume and therefore the number of receptions. Late-breaking news about coaching strategies or defensive adjustments could also move the market. Finally, significant betting activity, even without specific news, can sometimes drive price changes as traders react to each other's actions.