TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 17, 2:45 PM EST
Kalshi
This group forecasts the total number of goals scored in a UEFA Europa League match between OFI Crete and 1899 Hoffenheim. Markets ask whether the total goals will exceed specific thresholds (0.5, 1.5, 2.5, etc.).
All markets resolve based on the total number of goals scored by both teams combined during the official 90 minutes plus any stoppage time added by the referee, excluding any goals scored during extra time or penalty shootouts. For each market, resolution to 'Yes' occurs if the total goals exceed the specified threshold (0.5, 1.5, 2.5, 3.5, 4.5, or 5.5). The outcomes are strictly tied to the regulation time of the match as scheduled for September 17, 2026, and are independent of any league affiliations or branding, which remain the property of their respective owners.
This market will resolve to "YES" if the combined total number of goals scored by OFI and 1899 Hoffenheim is 3 or higher during regular time (90 minutes plus stoppage time only) in the UEFA Europa League match scheduled for September 17, 2026, 16:45 UTC. Otherwise, this market 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 "50-50." Revisions to officially declared final scores made after market resolution will not be accounted for in determining the outcome.
Prices on Kalshi and Limitless for the OFI Crete vs Hoffenheim goals market can diverge due to several factors. Kalshi and Limitless 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, trading dynamics, and fee structure, which can influence pricing. Differences in the volume traded on each platform also contribute to price discrepancies; a higher volume generally leads to tighter spreads. Furthermore, the platforms may attract different types of traders – some more risk-averse, others more speculative – impacting their trading behavior. These factors combine to create potentially different market valuations for the same underlying event, offering opportunities for arbitrage.