TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 5, 4:34 PM EST
Kalshi
This group forecasts the halftime result of a soccer match between CA Acassuso and CA All Boys. Markets exist for each team leading at halftime, or for a draw. Resolution depends on the official statistics after the first 45 minutes plus stoppage time.
In the upcoming Primera Nacional game between CA Acassuso and CA All Boys, scheduled for September 6, 2026 at 2:30 PM ET: This event contains halftime result markets for home, draw, and away outcomes within the first 45 minutes of regular play plus stoppage time.
The event resolves based on the full-time result of the Acassuso vs All Boys professional Argentine Nacional B soccer match originally scheduled for September 5, 2026. A 'Yes' outcome occurs if the specified team wins after 90 minutes plus stoppage time, excluding extra time or penalty kicks. If the match ends in a tie after regulation time, the 'Tie' market resolves to 'Yes.' If the game is cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price following Kalshi’s standard procedures. The event exclusively considers the result after regular time and stoppage minutes; no post-regulation events affect the resolution.
Price discrepancies between Polymarket and Kalshi on the Acassuso vs. All Boys halftime market can arise from several factors. 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 a different user base with varying risk appetites and predictive expertise, leading to differing opinions on the probability of each outcome. Trading volume also plays a role; higher volume on one platform can result in more efficient price discovery. Furthermore, the specific market mechanics and fee structures of Polymarket and Kalshi can influence trading behavior and, consequently, the prices observed for this market. These factors contribute to the dynamic pricing seen across prediction markets.