TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 23, 1:23 PM EST
Kalshi
This event group covers a UEFA Europa League match between PAOK and FK Dynamo Kyiv scheduled for July 30, 2026. Markets span multiple platforms (Kalshi, Limitless, Polymarket) and include both teams to score, spread betting, total goals, and half-time/full-time variants.
More markets for the UEFA Europa League game, scheduled for July 30 at 1:45 PM ET.
If Dynamo Kyiv and PAOK both score a goal in the Dynamo Kyiv vs PAOK Europa League match originally scheduled for Jul 23, 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 Dynamo Kyiv and PAOK score at least one goal each during regular time (90 minutes plus stoppage time only) in the UEFA Europa League match scheduled for July 23, 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 September 23, 2026, 23:59 UTC, this market will resolve to "NO."
Prediction markets like Kalshi and Limitless differ from traditional sportsbooks in that traders themselves set prices through continuous order flow rather than oddsmakers adjusting lines for profit margin. This often results in tighter spreads and faster price discovery, especially on high-volume events. Sportsbooks build in vig and manage liability; prediction markets reward accurate forecasting directly. For this fixture, comparing this market's consensus odds to major sportsbook lines can reveal where public perception diverges from professional betting markets, helping you identify mispriced 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-specific liquidity, user demographics, and order-flow timing all influence pricing. Kalshi and Limitless may attract different trader bases with varying risk appetites and information sets. Regulatory frameworks and fee structures also shape incentives to trade. Even small differences in how each platform phrases the outcome or handles edge cases can create temporary divergence. Monitoring both venues helps you identify when one market is mispricing relative to the other, creating opportunities to trade the spread before consensus realigns.
Team news—injuries to key strikers or defensive starters—can significantly shift odds on both sides scoring. Lineup announcements, tactical shifts, or recent form changes in either squad's attack or defense will likely trigger repricing. Head-to-head history and home-field advantage may also influence trader positioning. Weather conditions on match day and any late-breaking roster updates could spark volatility. As kickoff approaches, this market typically tightens as uncertainty resolves and the probability of both teams scoring becomes clearer.