TOTAL VOLUME:
$134b
24H VOL:
$87,176,691
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,391,958,194
394,660
Markets across
30,119
events
MATCHED EVENTS:
2,626
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 20, 11:49 PM EST
Kalshi
This market tracks whether the total points scored in the Indianapolis versus Kansas City professional football game will exceed 54.5. Currently, the probability of over 54.5 total points scored on Kalshi is 99.0%. Resolution will be determined by the final score of the game, as defined by whether Indianapolis and Kansas City collectively score more than 66.5 points, according to the resolution source. Keep an eye on the game itself, as this market will resolve following the conclusion of the Indianapolis versus Kansas City game originally scheduled for September 20, 2026, with final resolution by September 21, 2026.
The markets resolve based on whether the combined total points scored by both Indianapolis and Kansas City in their Pro Football game scheduled for September 20, 2026, exceeds specified thresholds. Each market defines a unique point threshold, ranging from 27.5 to 69.5 points. If the actual total points scored in the game are greater than the threshold defined in a particular market, that market resolves to Yes; otherwise, it resolves to No. All markets are independent, and each threshold is evaluated separately. The secondary rules clarify that Kalshi has no official affiliation with the governing league, and all trademarks remain the property of their respective owners.
Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines. Sportsbooks set odds based on their own models and aim to balance action on both sides, whereas this market aggregates the beliefs of many individual traders. As more information becomes available – such as injury reports or weather forecasts – and as the event approaches, the prices in this market tend to converge with those found at sportsbooks. However, discrepancies can still exist, potentially offering opportunities for arbitrage or informed trading based on your own analysis of the game.
On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing their belief about whether the total points scored in the Colts-Chiefs game will be above or below a certain threshold. The price of these contracts fluctuates based on supply and demand, with higher prices indicating a greater probability of the event occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market price represents the implied probability of the total points being over or under the current threshold, allowing traders to express their views and profit from correctly anticipating the outcome. The more traders participate, the more efficiently the market reflects collective expectations.
This market resolves around Sep 21, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final total points scored in the Indianapolis Colts versus Kansas City Chiefs game will be used to determine the winning side of the market. The official scoring data from the game will serve as the basis for resolution. Traders holding contracts on the correct side will receive a payout, while those on the incorrect side will forfeit their investment. The resolution process ensures a transparent and objective determination of the market’s outcome.
Several factors could significantly influence the price of this market. Key injuries to starting players on either the Colts or the Chiefs would likely cause substantial movement, as would changes in the weather forecast. Unexpected news regarding team strategy or coaching decisions could also impact trader sentiment. Furthermore, any significant shifts in public perception, perhaps driven by expert analysis or media coverage, could lead to price fluctuations. As the game draws closer, even minor updates can have a noticeable effect on this market, making it a dynamic and responsive indicator of expectations.