TOTAL VOLUME:
$154.1b
24H VOL:
$185,665,189
24H TRANSACTIONS:
2,983,476,643
OPEN INTEREST:
$1,833,875,329
407,365
Markets across
40,470
events
MATCHED EVENTS:
4,365
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Borneo Samarinda
- Polymarket
Borneo Samarinda - Polymarket
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 7, 2026
Time left: 04d:15h:33m
$
In the upcoming Indonesia Liga 1 game between Borneo Samarinda and PSM Makassar, originally scheduled for Saturday, November 7, 2026 at 3:30 AM ET (as of creation of the first market related to the event):
In the upcoming Indonesia Liga 1 game between Borneo Samarinda and PSM Makassar, originally scheduled for Saturday, November 7, 2026 at 3:30 AM ET (as of creation of the first market related to the event):
Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook offerings. Sportsbooks set lines based on their own models and to balance action, while this market aggregates the beliefs of many individual traders. If a significant number of traders believe a sportsbook has mispriced an outcome, the odds on Polymarket will likely move in the opposite direction. It's common to see prediction markets outperform traditional sportsbooks, especially as the event approaches and more information becomes available. However, sportsbook odds can still offer valuable insight.
This market resolves around Nov 7, 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 Indonesian Liga 1 match between Borneo Samarinda and PSM Makassar, as reported by a recognized sports data provider. The platform will verify the outcome against these sources to determine which outcome corresponds to the winning shares. Traders holding shares in the correct outcome will be entitled to a payout based on the final market price.
Several factors could influence trading activity and shift the odds in this market. Any news regarding team injuries, changes in coaching staff, or significant shifts in player form could impact trader sentiment. Unexpected weather conditions at the match location could also play a role. Furthermore, public perception and analysis from sports commentators could sway opinions and drive trading volume. Major upsets in other Liga 1 matches could also indirectly affect how traders assess the probabilities for this particular contest.