TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 23, 5:14 PM EST
Kalshi
This event group covers the outcome of a professional Argentine Nacional B soccer match between CA Temperley and CA Ferrocarril Midland, scheduled for August 23, 2026. The markets focus on determining whether Temperley wins, Ferrocarril Midland wins, or the match ends in a draw within regular play plus stoppage time.
This event is for the upcoming Primera Nacional game, scheduled for Sunday, August 23, 2026 between CA Temperley and CA Ferrocarril Midland.
The event resolves based on the official result of the Temperley vs Midland professional Argentine Nacional B soccer match scheduled for August 22, 2026, after 90 minutes plus stoppage time. A 'Yes' outcome for the Temperley market occurs if Temperley wins the match within regular time. Similarly, a 'Yes' for Midland occurs if Midland secures a victory during the same period. If the match concludes in a tie after regular time, the Tie market resolves to 'Yes.' Should the game be cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price as determined by the platform. The resolution excludes outcomes from extra time or penalty shootouts, focusing solely on the result at the end of regular playing time.
Prediction market odds often reflect a more granular, community-driven assessment of probabilities, incorporating diverse trader insights and real-time updates. In contrast, sportsbook odds are set by professional oddsmakers who may factor in additional variables such as public betting patterns and house margins. For this market, prediction markets might show tighter spreads or different implied chances compared to traditional sportsbooks, especially as new information emerges closer to the match.
Price differences between Polymarket and Kalshi can arise from variations in user bases, liquidity levels, and trading activity. 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’s unique market design and participant composition may lead to divergent assessments of the same event. For instance, one venue might attract more local fans or early traders, skewing its odds temporarily compared to another platform with a broader, more international user set.