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: Aug 27, 7:00 PM EST
Polymarket
This group of markets covers various outcomes and statistics from a UEFA Europa Conference League qualifying tie between FK Partizan Beograd and Getafe CF, including team advancement, goal totals, and specific scoring scenarios across different halves and overall match.
More markets for the UEFA Europa Conference League game, scheduled for August 27 at 3:00 PM ET.
If Getafe and Partizan Belgrade both score a goal in the Getafe vs Partizan Belgrade Conference League match originally scheduled for Aug 20, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes.
This market will resolve to "YES" if both Getafe and FK Partizan score at least one goal each during regular time (90 minutes plus stoppage time only) in the UEFA Europa Conference League match scheduled for August 20, 2026, 17:00 UTC. Otherwise, this market will resolve to "NO." If the match is canceled after it starts, this market will resolve based on official data recorded up to that point. If the match is canceled entirely before it starts or postponed/rescheduled to a restart date later than October 20, 2026, 23:59 UTC, this market will resolve to "NO."
Prediction market odds on this market often differ from traditional sportsbook lines due to diverse trader perspectives and real-time information flow. While sportsbooks may set a static line based on historical data and analyst views, prediction markets adjust dynamically as new insights emerge — like player injuries or weather conditions. This can create pricing gaps; for example, traders might price a higher or lower probability than sportsbooks depending on recent momentum or tactical changes. Comparing both offers a fuller picture of expected outcomes.
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. Platform design and user bases influence pricing differences between Kalshi and Limitless. Each venue attracts distinct traders, from professional speculators to casual fans, which shapes how odds are set. Liquidity levels, fee structures, and even interface design can skew prices. For instance, if one platform has deeper volume, its odds may appear more stable, while a thinner market might show sharper swings based on recent bets.