TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 4:05 PM EST
Kalshi
This group forecasts the outcome of a soccer match between Telstar 1963 and Feyenoord Rotterdam, scheduled for October 17, 2026. Markets exist for Telstar winning, Feyenoord winning, and the game ending in a draw. All markets consider only the first 90 minutes of play plus stoppage time.
This event is for the upcoming Eredivisie game, scheduled for Saturday, October 17, 2026 between Telstar 1963 and Feyenoord Rotterdam.
The market resolves based on the result after 90 minutes plus stoppage time, not including extra time or penalties. A victory for either team results in a Yes resolution for that team’s market, a tie results in a Yes resolution for the Tie market, and cancellation or rescheduling beyond 48 hours results in a fair price resolution.
Prediction market odds, like those found on Polymarket and Kalshi for the Telstar vs. Feyenoord match, often differ from traditional sportsbook odds. Sportsbooks set lines to balance their own risk and incorporate a profit margin, while prediction markets are driven by the collective opinions of traders who are incentivized to accurately forecast the outcome. This can lead to prediction markets being more efficient at reflecting true probabilities. However, sportsbook odds are often more readily available and may offer different types of wagers not currently available in this market. Comparing the two can offer a more comprehensive view of expectations.
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. Prices on Polymarket and Kalshi for the Telstar vs. Feyenoord match can diverge due to several factors. Each platform attracts a different user base with varying levels of expertise and information. Trading volume also plays a role; higher volume typically leads to tighter spreads and more accurate pricing. Furthermore, the specific mechanics of each platform – such as fees, margin requirements, and market creation rules – can influence price discovery. These differences are normal and contribute to the overall robustness of the prediction market ecosystem, offering diverse perspectives on the likely outcome of this match.