TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 27, 1:53 PM EST
Kalshi
This group forecasts which quarter of a Chiefs vs. Dolphins NFL game will have the highest combined score. The markets cover each of the four regulation quarters, as well as an 'Other' option for ties or no scores. Overtime points are not considered.
Highest scoring quarter markets for Chiefs vs. Dolphins.
If Kansas City and Miami both score points in the 1st quarter of the Kansas City vs Miami Pro Football game originally scheduled for Sep 27, 2026, then the market resolves to Yes.
Prediction market odds, like those found for this market, often reflect the collective wisdom of a diverse group of participants, 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 participants to freely express their beliefs. This can lead to discrepancies, particularly when public sentiment strongly diverges from expert opinion. While sportsbooks may initially offer odds based on statistical analysis, this market incorporates real-time adjustments based on informed traders’ predictions, potentially revealing insights not immediately captured by conventional odds-making.
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. Price discrepancies between Polymarket and Kalshi on this market can arise due to several factors. Each platform attracts a different user base with varying risk appetites and predictive expertise, influencing trading behavior. Furthermore, the liquidity and trading volume on each platform can differ, leading to price adjustments. Market makers may also employ different strategies on each venue, contributing to price divergence. While both platforms track the same underlying event, these nuances in user composition, liquidity, and trading activity can result in differing probabilities for the same outcomes within the Chiefs-Dolphins scoring market.
Several factors could influence the odds in this market. Any news regarding key player injuries for either the Chiefs or the Dolphins would likely cause significant movement. Changes in weather forecasts, particularly if they suggest conditions favorable to high or low scoring, could also impact predictions. Furthermore, significant shifts in public sentiment, perhaps driven by expert analysis or social media trends, could sway the market. Late-breaking news about coaching strategies or team dynamics could also play a role in shaping expectations and influencing trading activity in this market.