TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 13, 9:14 PM EST
Kalshi
This group focuses on player prop markets for Dak Prescott and Jaxson Dart's passing yards, and total points scored in the first quarter of the Cowboys vs. Giants game. Markets on Polymarket are based on official NFL statistics, while Kalshi markets focus on total points scored in the first quarter.
Player prop markets for the NFL game between the Cowboys and Giants, scheduled for September 13 at 8:20 PM ET.
These markets resolve based on the total points scored by both the Dallas Cowboys and New York Giants during the first quarter of their Pro Football game scheduled for September 13, 2026. Each market has a specific numerical threshold; if the combined points exceed that threshold, the market resolves to 'Yes.' Only points scored in the first quarter count, and all markets share this same resolution criterion, differing only in their threshold values. The markets cover a range of thresholds from just over 3.5 points to more than 24.5 points, providing multiple opportunities to assess the potential scoring pace at the start of the game. Kalshi explicitly states it is not affiliated with the governing league, and all trademarks remain the property of their respective owners.
Prediction market odds, like those found in this market, often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while prediction markets allow anyone to express their belief, leading to odds that can sometimes be more accurate, particularly as the event approaches. It is common to see discrepancies between the two, as sportsbooks incorporate a 'vig' or commission into their odds, which isn't present in purely peer-to-peer prediction markets.
Prices for the same outcomes in this market can diverge between Polymarket and Kalshi due to several factors. Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform has its own user base with differing opinions and risk tolerances, which influences pricing. Trading volume also plays a role; a market with higher volume on one platform may exhibit more price discovery. Furthermore, the specific mechanisms for setting odds – how traders bid and ask – differ between Polymarket and Kalshi, leading to temporary discrepancies. These differences are normal and reflect the dynamic nature of prediction markets.