TOTAL VOLUME:
$154.6b
24H VOL:
$323,326,361
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,969,435,260
419,363
Markets across
40,411
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 9, 10:44 PM EST
Kalshi
This market tracks the outcome of a soccer match between CA Unión and CSyD Defensa y Justicia on October 9, 2026, in the Argentine Primera Division. Currently, the consensus probability of CSyD Defensa y Justicia winning is 93.5%, with a 7% probability of a tie, as aggregated from Kalshi and Polymarket. The official results will be sourced from https://www.afa.com.ar/es/liga-profesional-de-futbol. Keep an eye on October 10, 2026, as this is the estimated resolution date for the match and associated market.
This event is for the upcoming Primera División Argentina game, scheduled for Friday, October 9, 2026 between CA Unión and CSyD Defensa y Justicia.
The event covers three possible outcomes of the Union Santa Fe versus Defensa y Justicia match scheduled for October 9, 2026: a win for Union Santa Fe, a win for Defensa y Justicia, or a tie after 90 minutes plus stoppage time. Each market resolves to 'Yes' if its specified condition is met. If the match is cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve at a fair price. The resolution exclusively considers the result after regular time, with no account for extra time or penalty shootouts. Kalshi explicitly states it holds no official affiliation with the governing league, and all trademarks remain property of their respective owners.
Prices on Polymarket and Kalshi for this market can diverge due to several factors. Each platform has its own user base, trading dynamics, and fee structures, all of which influence price discovery. 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. Furthermore, differing levels of information access and interpretation among traders on each platform can lead to varied assessments of the likelihood of each outcome. The volume of trading on each platform also plays a role; higher volume generally indicates greater confidence in the price. These factors contribute to the observed price discrepancies, creating opportunities for arbitrage.