TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 14, 11:19 PM EST
Kalshi
This group focuses on player prop bets for Bo Nix in the Broncos vs. Chiefs game, specifically his passing yards and points scored in the 4th quarter. Markets on Polymarket center around Nix's total passing yards, while Kalshi markets focus on total points scored by both teams in the 4th quarter.
Player prop markets for the NFL game between the Broncos and Chiefs, scheduled for September 14 at 8:15 PM ET.
These markets evaluate whether the total points scored by both the Denver Broncos and Kansas City Chiefs during the 4th quarter of their scheduled game on September 14, 2026, exceed specified thresholds ranging from 3.5 to 24.5 points. All markets exclusively consider points scored in regulation time of the 4th quarter, with overtime points excluded from calculation. A 'Yes' outcome occurs when the combined score surpasses the market's threshold, while a 'No' outcome results if the total remains at or below it. Each market operates independently with its own point threshold, allowing for varied resolutions based on the actual scoring volume in that quarter.
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 to balance action and ensure profit, while prediction markets are driven by participants directly wagering on the outcome. This can lead to discrepancies, as prediction markets may be more sensitive to nuanced information or less influenced by biases inherent in sportsbook modeling. However, both aim to accurately forecast probabilities, and arbitrage opportunities may exist when significant differences arise between the two.
Prices on Polymarket and Kalshi for the Broncos-Chiefs player props market can diverge 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 a different user base with varying risk appetites and information sets, which influences trading activity. Additionally, the liquidity and volume on each platform—currently $164,929 overall—can impact price discovery. Different fee structures and trading mechanisms between Polymarket and Kalshi also contribute to these price discrepancies. Finally, temporary imbalances in buy and sell orders on either platform can create short-term price differences.