TOTAL VOLUME:

$54.4b

24H VOL:

$218,201,443

24H TRANSACTIONS:

527,797,601

OPEN INTEREST:

$1,191,873,651

500,842

Markets across

13,663

events

MATCHED EVENTS:

1,809

PLATFORM COVERAGE:

4

Polymarket:

51%

VS.

Kalshi:

49%

BETA
Dashboards
kalshi
polymarket
Trending

LoL: JD Gaming vs Bilibili Gaming (BO5) - LPL Playoffs

Volume:
$7,061,159
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade

Description

This event group covers a League of Legends Best-of-5 playoff match between JD Gaming and Bilibili Gaming scheduled for March 4, 2026 at 4:00 AM ET in the LPL Playoffs. Markets span match winner, individual game winners, kill totals across all five potential games, first blood outcomes, game count totals, and handicap spreads.

PredictionHero - Resolution Divergence Alerts (RDA)

Unified Resolution Criteria (Consistent across platforms)

Both Kalshi and Polymarket apply identical resolution logic: official gol.gg data with 2-hour fallback to consensus, 50-50 for cancellations/delays/forfeits/incomplete games, strict kill thresholds, and first blood determined by actual kill occurrence.

Primary resolution logic:

Official information from gol.gg/esports/home; if not published within 2 hours after event conclusion, consensus of credible reporting including video evidence.

Core resolution logic:

  • Match winner (BO5) resolves to the team winning 3 games first; if match is forfeited, disqualified, or abandoned before completion, resolves 50-50.
  • Individual game winners resolve based on completed game outcome; incomplete games resolve 50-50.
  • Kill totals use strict thresholds: Over 28.5 = 29+ kills, Over 29.5 = 30+ kills, Over 30.5 = 31+ kills, Over 31.5 = 32+ kills.
  • First blood resolves to the team securing the kill prior to game stoppage or remake; if no first blood occurs before completion, resolves 50-50.
  • Game count totals (O/U 3.5, O/U 4.5) count all games played including forfeits, provided match is completed.
  • Remade games use only the remade game data for kill totals and first blood.
  • Match cancellation, delay beyond 7 days without play beginning, forfeit, disqualification, or walkover all resolve to 50-50.

Edge cases & Clarifications:

  • Incomplete Match Before Clinching: If match begins but is not completed before one team clinches (e.g., 3-1 lead with Game 5 not played), match winner resolves to the clinching team. Game count resolves based on games actually played. Individual game markets for unplayed games resolve 50-50.
  • Game Remade Mid-Series: Kill totals and first blood for a remade game use only the remade game data. All other markets (match winner, game count) proceed normally based on final series outcome.
  • Forfeit or Disqualification: If a team forfeits, is disqualified, or walks over before match start, match winner resolves 50-50. If forfeit occurs mid-series after games are played, match winner resolves to the team with the series lead (if clinched) or 50-50 (if not clinched). Game count resolves 50-50 if match is abandoned before completion.
  • First Blood Never Occurs: If a game is completed but no first blood kill is recorded, the first blood market for that game resolves 50-50.
  • Delay Beyond 7 Days: If match is delayed more than 7 days from scheduled date (March 4, 2026) without play beginning, all markets resolve 50-50.

Timing:

Resolution occurs within 2 hours after match conclusion based on official gol.gg publication; if not published by then, consensus reporting is used. Match is scheduled for March 4, 2026 at 4:00 AM ET.
Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.

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