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 18, 4:31 PM EST
Kalshi
This event group covers a Peruvian Liga 1 soccer match between AD Tarma and Club Universitario de Deportes scheduled for July 18, 2026. Three prediction markets are offered across Polymarket and Kalshi, covering outcomes for AD Tarma win, draw, and Club Universitario win within 90 minutes plus stoppage time.
This event is for the upcoming Peru Liga 1 game, scheduled for Saturday, July 18, 2026 between AD Tarma and Club Universitario de Deportes.
Resolution is based on the final result of the professional Peru Liga 1 soccer match between Asociacion Deportiva Tarma and Universitario after 90 minutes plus stoppage time, excluding extra time or penalties. Each outcome—Asociacion Deportiva Tarma win, Universitario win, or tie—resolves to Yes if that result occurs. If the match is cancelled or rescheduled to more than two weeks away, the market resolves to a fair price in accordance with the rules.
Prediction markets and traditional sportsbooks price events differently. Sportsbooks set odds to balance their book and lock in profit margins, while prediction markets rely on trader consensus—buy and sell pressure from participants who believe the true probability differs from the current price. This market-driven approach often surfaces sharper, less biased estimates, especially when volume is high and participants have strong information. However, prediction market odds can be more volatile and less liquid than major sportsbooks, so comparing both sources helps you form a complete view of where the smart money stands.
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 different trader demographics, fee structures, and user bases, which naturally creates price variation even for identical events. Polymarket and Kalshi may also have slightly different market mechanics, settlement timelines, or liquidity pools. Arbitrage traders typically exploit these gaps, but temporary divergences persist due to geographic restrictions, platform-specific incentives, or timing lags in order flow. Monitoring both venues gives you a fuller picture of where the broader prediction market community sees value on this match.
Key catalysts include team lineups and injury announcements, which can significantly alter perceived match strength. Recent form, head-to-head history, and any late-breaking tactical changes will likely trigger repricing. Weather conditions and venue factors may also influence trader sentiment. Media coverage and expert commentary often amplify volatility as the match approaches. Large trades or sudden volume spikes on either platform can signal informed positioning, prompting other traders to adjust their bets. Monitoring these signals helps you anticipate where odds might shift before the final whistle.