TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 27, 1:55 AM EST
Polymarket
This event group covers a professional soccer match between Club Blooming and Club The Strongest in Bolivia's Premier Division, scheduled for June 14, 2026. Markets are offered across Polymarket and Kalshi, with separate binary outcomes for each team's victory and draw scenarios on Polymarket, versus a three-outcome categorical market on Kalshi.
This event is for the upcoming Bolivia LFPB game, scheduled for Sunday, June 14, 2026 between Club Blooming and Club The Strongest.
This event covers a professional Bolivia Premier Division soccer match between Blooming and The Strongest originally scheduled for June 14, 2026. Resolution is based on the final score after 90 minutes of regulation play plus stoppage time, excluding any extra time or penalty shootout periods. Each outcome—Blooming win, The Strongest win, or tie—resolves to Yes if that result occurs at the end of regulation plus stoppage time. If the match ends in a draw, the Tie market resolves to Yes. Should the game be cancelled or rescheduled to more than two weeks after the original date, the market will resolve to a fair price in accordance with standard procedures.
Polymarket and Kalshi may show different odds due to distinct user bases, liquidity pools, and trading mechanics. Polymarket and Kalshi 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 attracts traders with different risk appetites and information sets, so price discovery happens independently. Regulatory constraints, fee structures, and order-book depth also influence how quickly each platform reacts to news. Arbitrage traders exploit these gaps, but temporary spreads persist because moving capital between platforms incurs friction and time costs.
Key catalysts include team lineups, injury announcements, recent form, and head-to-head records. Major roster changes or suspensions can shift odds sharply. Weather conditions, venue factors, and betting-market activity on external platforms may also influence trader positioning here. Social media sentiment and expert analysis can trigger repricing, especially as match day approaches. Monitor official team communications and sports news outlets for developments that could alter the probability of either side winning.