TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 27, 8:45 AM EST
Polymarket
This event is for the upcoming Indonesia Liga 1 game, scheduled for Wednesday, October 28, 2026 between PSS Sleman and Borneo Samarinda.
This event is for the upcoming Indonesia Liga 1 game, scheduled for Wednesday, October 28, 2026 between PSS Sleman and Borneo Samarinda.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines based on statistical models and expert analysis, incorporating a margin for profit. This market, however, allows traders to express their own beliefs, potentially leading to odds that more accurately reflect the true probability of each outcome. Discrepancies can arise due to differing levels of information, biases, or simply varying opinions among bettors and prediction market participants. It’s often useful to compare the implied probabilities from both sources to identify potential value.
This market resolves around Oct 27, 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 PSS Sleman versus Borneo Samarinda match in the Indonesian Liga 1. The outcome will be determined by the final score, with a win for either team or a draw being the possible results. Traders will be able to see the verified result on Polymarket following the conclusion of the match and official confirmation.
Several factors could influence trading activity and shift the odds in this market. Any news regarding team injuries, suspensions, or changes in coaching staff could significantly impact perceived probabilities. Unexpected weather conditions at the match venue might also play a role. Furthermore, pre-match analysis from sports analysts and any shifts in public sentiment, as reflected in betting patterns, could all contribute to price movements. Finally, any significant in-match events, such as early goals or red cards, could also cause rapid adjustments to the market.