TOTAL VOLUME:
$154.8b
24H VOL:
$277,138,640
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2,984,640,614
OPEN INTEREST:
$1,905,404,943
412,077
Markets across
39,838
events
MATCHED EVENTS:
4,526
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Nov 2, 5:01 PM EST
Kalshi
This market tracks which team will win the November 2, 2026 Newcastle versus Everton professional EPL soccer game, after 90 minutes plus stoppage time. Currently, the consensus probability of Everton winning is 99.0%, with Newcastle winning at 1.0%. These probabilities are aggregated from Opinion, Limitless, and Kalshi, and will resolve based on Official EPL results. Keep an eye on the match itself, scheduled for November 2, 2026, as the outcome on the pitch will determine the market’s resolution.
The event resolves based on the full-time result of the Newcastle vs Everton EPL match scheduled for November 2, 2026, after 90 minutes plus stoppage time. A 'Yes' outcome occurs for the respective market if the named team wins the match outright. If the match concludes with an equal score, the 'Tie' market resolves to 'Yes.' Should the game be canceled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price as determined per the platform's guidelines. The event exclusively considers regular time results, excluding extra time or penalty shootouts. Kalshi explicitly disclaims any official affiliation with the governing league, and all associated trademarks remain the property of their respective owners.
This market resolves to "YES" if the listed club wins after 90 minutes plus stoppage time, excluding extra time and penalty shootouts, in the match scheduled for November 2, 2026, 20:00 UTC. Otherwise, it will resolve to "NO." If the match is postponed, this market will remain open until the match has been completed. If the match is not completed as scheduled for any reason (for example, if it is abandoned, canceled, or awarded), and an official final result is recognized by the governing body or event organizers, this market will resolve based on that result. If no official final result is recognized and no make-up match is scheduled, this market will resolve "NO." Revisions to officially declared final scores made after market resolution will not be accounted for in determining the outcome.
This market refers to the Premier League match between Newcastle (NEW) and Everton (EVE), scheduled for 2026-11-02 20:00 UTC. - NEW: If Newcastle wins, the outcome is settled as "Yes"; otherwise "No". - DRAW: If the match ends in a draw, the outcome is "Yes". - EVE: If Everton wins, the outcome is "Yes"; otherwise "No". Settlement will be based on the result at the end of regular time (90 minutes) plus stoppage time. If the match is postponed, this market will remain open until the match is played and completed. If the game is canceled entirely, with no make-up game, the DRAW option will resolve to "Yes", while both NEW and EVE options will resolve to "No". The primary settlement source will be the official result published by Premier League. If the governing body or event organizers have not published the final match statistics within 2 hours after the event's conclusion, a consensus from credible sources may be used instead. Note: Opinion will resolve strictly based on the first officially published result from the designated source. Any subsequent revisions will not affect this resolution. Source: https://www.premierleague.com/
Kalshi and Opinion 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 Kalshi and Opinion often arise due to variations in trader demographics, market liquidity, and differing opinions on the factors influencing the Newcastle vs Everton match. Kalshi may attract a different class of traders with unique information or risk tolerance compared to Opinion. Furthermore, the volume of trading on each platform – currently $5,280,221 overall – impacts price discovery. These factors combine to create potentially different probabilities for the same event across these prediction markets.