TOTAL VOLUME:
$154.3b
24H VOL:
$219,029,434
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,869,293,526
411,051
Markets across
40,408
events
MATCHED EVENTS:
4,377
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
1st Half O/U 0.5
- Polymarket
1st Half O/U 0.5 - Polymarket
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 2, 2026
Time left: 03h:36m:55s
$
More markets for the Primera División Argentina game, scheduled for November 2 at 7:15 PM ET.
More markets for the Primera División Argentina game, scheduled for November 2 at 7:15 PM ET.
Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially differing from those set by sportsbooks. Sportsbooks establish initial lines based on statistical models and expert analysis, aiming to balance action on both sides. This market, however, allows individuals to express their own informed opinions, potentially leading to odds that diverge from traditional sportsbooks, especially as new information emerges. It’s common to see discrepancies as prediction markets can incorporate a wider range of factors and react more quickly to breaking news.
On Polymarket, this market is priced through a continuous exchange where traders buy and sell shares representing their belief in the outcome. The price of a share directly reflects the probability of that outcome occurring, as perceived by the market participants. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information becomes available, the price adjusts dynamically, providing a real-time assessment of the event's likelihood. The current volume traded indicates the level of interest and conviction surrounding the various possibilities.
This market resolves around Nov 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Argentinian soccer match between CS Independiente Rivadavia and CA Banfield. The platform will rely on established sports news sources and official league data to determine the winning outcome. Traders will then be able to claim their winnings or adjust their strategies based on the verified result.
Several signals could significantly move this market before it resolves. Any news regarding player injuries, team lineups, or changes in coaching staff for either CS Independiente Rivadavia or CA Banfield would likely impact trading activity. Unexpected weather conditions at the match venue could also influence the odds. Furthermore, major shifts in public sentiment, as reflected by sports analysts or betting previews, could drive changes in the market price. Ultimately, any information that alters the perceived probability of either team winning has the potential to move this market.