TOTAL VOLUME:
$154.8b
24H VOL:
$277,138,640
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,905,404,943
412,077
Markets across
39,838
events
MATCHED EVENTS:
4,526
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 12, 11:55 AM EST
Polymarket
More markets for the La Liga 2 game, scheduled for October 12 at 8:00 AM ET.
More markets for the La Liga 2 game, scheduled for October 12 at 8:00 AM ET.
Prediction market odds often reflect the collective wisdom of a diverse group of participants, potentially offering a different perspective than traditional sportsbooks. Sportsbook odds are typically set by a relatively small number of professional oddsmakers, while this market allows anyone to participate and express their beliefs. Discrepancies can arise due to differing information, biases, or simply the dynamics of supply and demand within the prediction market. It's common to see this market move independently of sportsbook lines, especially as new information emerges or public sentiment shifts.
This market resolves around Oct 12, 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 Real Valladolid vs. Albacete match, as reported by a recognized sports data provider. The market will determine which outcome – a win for Real Valladolid, a win for Albacete, or a draw – is the accurate result of the game. Traders will then be paid out based on the final outcome and their holdings in the corresponding shares.
Several factors could influence trading activity and shift the odds in this market. Key events include any news regarding player injuries or suspensions for either Real Valladolid or Albacete. Changes in team form, tactical adjustments, or even weather conditions could also impact traders' beliefs. Unexpected announcements about team lineups shortly before the match, or even significant shifts in public opinion based on pre-game analysis, could all contribute to movement in this market. Monitoring these signals can provide insight into potential shifts in the perceived probability of each outcome.