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 19, 10:00 PM EST
Kalshi
This market tracks the outcome of a Peru Liga 1 soccer match between Club Alianza Lima and CS Huancayo. Across Polymarket and Kalshi, the aggregated consensus shows a 92.0% probability that Alianza Lima wins, with a 7.5% probability of a draw. Resolution will be determined by the official Liga 1 Peru website. Watch for the match kickoff on July 19, 2026, which will determine the final settlement of all outcome markets.
This event is for the upcoming Peru Liga 1 game, scheduled for Sunday, July 19, 2026 between Club Alianza Lima and CS Huancayo.
Resolution is based on the final result of the Alianza Lima vs Huancayo professional Peru Liga 1 soccer game originally scheduled for July 19, 2026, evaluated after 90 minutes plus stoppage time (excluding extra time or penalties). Each outcome—Alianza Lima win, Huancayo win, or tie—resolves to Yes if that result occurs. If the game is cancelled or rescheduled to more than two weeks away, the market will resolve to a fair price in accordance with the rules.
Prediction markets and sportsbooks price outcomes differently because they operate under different incentives. Sportsbooks set odds to balance their book and lock in profit margins, while prediction markets rely on trader consensus to discover price. This often means prediction markets react faster to breaking news and reflect sharper, less-biased estimates of true probability. However, sportsbooks may offer tighter spreads and faster liquidity on major events. Comparing the two reveals arbitrage opportunities and helps you gauge whether this market's current pricing aligns with professional betting consensus.
Polymarket and Kalshi can show different odds on the same event for several reasons. 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 distinct trader demographics, regulatory environments, and fee structures, which influence how quickly prices adjust. One venue may have deeper liquidity in a particular outcome, allowing large trades to move the price less. Time-zone differences and platform-specific news feeds can also cause temporary divergences. These gaps typically narrow as arbitrageurs trade across both venues, but they create windows where savvy traders can exploit price discrepancies.