TOTAL VOLUME:
$134.2b
24H VOL:
$126,590,312
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,439,516,703
404,175
Markets across
30,277
events
MATCHED EVENTS:
2,685
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 3, 10:11 PM EST
Kalshi
This market tracks whether CA San Lorenzo de Almagro will win their soccer match against CA Huracán on August 9, 2026. The aggregated consensus probability for CA San Lorenzo de Almagro winning stands at 34.5%, with an additional 34.5% chance of a draw, drawing data from Kalshi and Polymarket. Resolution will be based on official statistics from the governing body or event organizers (AFA). Watch the match result on August 9, 2026, as it will determine the outcome of this market.
This event is for the upcoming Primera División Argentina game, scheduled for Sunday, August 9, 2026 between CA San Lorenzo de Almagro and CA Huracán.
The event resolves based on the result of the Central Cordoba vs San Lorenzo de Almagro professional Argentina Primera Division soccer match scheduled for August 3, 2026, after 90 minutes plus stoppage time. Three distinct markets correspond to the possible outcomes: a win for Central Cordoba, a win for San Lorenzo de Almagro, or a tie. If the match concludes with either team winning within regular time, the respective market resolves to Yes. If the match ends in a tie after regular time, the Tie market resolves to Yes. In the case of the game being cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price following the platform's guidelines. The event explicitly excludes extra time and penalty shootout results from its resolution criteria.
Prediction market odds on this market often differ from traditional sportsbook lines because they reflect trader sentiment rather than set odds from bookmakers. The implied probabilities here can show sharper movements around news, injuries, or form guide changes. For example, a shift in a key player’s availability may move this market more dramatically than sportsbook lines, which often include a built-in house edge and are less responsive to real-time trader input. Comparing both gives a fuller picture of market sentiment versus institutional pricing.
Injuries to key players, changes in coaching strategy, or even weather conditions that affect match play can all shift this market. Strong recent form from either team, as well as tactical updates shared by analysts, often drive trader reappraisals. High-profile betting trends on sportsbooks may also spill over into prediction markets, especially when a favorite looks vulnerable. Any development that alters the perceived balance between the sides can cause rapid price adjustments on both Polymarket and Kalshi.