TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 31, 11:00 AM EST
Polymarket
This market tracks whether the combined kill count in Game 3 of the League of Legends Upper bracket semifinal between JD Gaming and Top Esports will exceed 28.5 kills. On Polymarket, the over outcome is priced at 100.0%. Resolution will be determined by official match statistics from gol.gg. Watch for the scheduled matchup on May 31, 2026 at 5:00 AM ET to see whether the teams' aggressive playstyles and itemization choices drive the kill total above or below the threshold.
Prediction market odds on Polymarket often diverge from traditional sportsbook lines because they reflect decentralized crowd sentiment rather than bookmaker risk management. Sportsbooks adjust odds to balance liability and lock in profit margins, while prediction markets price based on trader conviction and information flow. For the JD Gaming versus Top Esports series, the prediction market may price in nuanced factors like recent scrim results, roster changes, or meta shifts that sportsbooks lag on. Comparing Polymarket implied probabilities to major esports sportsbooks can reveal where the crowd sees edge, though prediction markets are generally more volatile and less regulated than traditional betting venues.
The market is scheduled to resolve by May 31, 2026. Resolution is determined by the official result of the best-of-five series between JD Gaming and Top Esports in the LPL Playoffs. The outcome is established once one team wins three games, concluding the matchup. Individual game winner contracts resolve after each game concludes and the official broadcast confirms the result. Series-level contracts resolve only after the entire BO5 is complete. Polymarket relies on official LPL records and broadcast data to determine winners, ensuring that all outcomes are grounded in verifiable competitive results.
Key catalysts include roster announcements, player injuries, or last-minute substitutions that alter team composition. Pre-match scrim leaks or analyst commentary on meta shifts and champion pools can shift trader expectations. During the series itself, early game performance, objective control, and teamfight outcomes in Games 1 and 2 often trigger sharp repricing as the market updates its series-win probability. Unexpected bans, unconventional draft strategies, or momentum swings after a team wins a game can move odds significantly. External factors like server issues or broadcast delays may also create temporary volatility. Real-time social media sentiment and esports community consensus can amplify or dampen price moves as new information emerges.