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%

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Madura United vs. Persib Bandung
polymarket
kalshi

What is the result of Madura United vs. Persib Bandung?

Volume:
$594,258

Madura United

all

2 markets

Kalshi

Polymarket

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 22, 2026

Closed: Oct 22, 9:58 AM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Madura United

View
100%
Yes 100¢No 0¢
—
N/A
$185,085
N/A
N/A
$99,856
Settled
Yes
polymarket

Madura United

View
100%
80%
Yes 100¢No 0¢
—
N/A
$9,322
N/A
N/A
N/A
Settled
Yes
kalshi

Tie

View
0%
Yes 0¢No 100¢
—
N/A
$182,164
N/A
N/A
$75,830
Settled
No
polymarket

Draw (Madura United vs. Persib Bandung)

View
0%
Yes 0¢No 100¢
—
N/A
$6,242
N/A
N/A
N/A
Settled
No
kalshi

Persib Bandung

View
0%
55%
Yes 0¢No 100¢
—
N/A
$165,582
N/A
N/A
$110,136
Settled
No
polymarket

Persib Bandung

View
0%
53%
Yes 0¢No 100¢
—
N/A
$45,863
N/A
N/A
N/A
Settled
No
Total markets: 6

Intro

This market tracks whether Madura United will win their soccer match against Persib Bandung on October 22, 2026, in the Indonesia Super League. Currently, the consensus probability of Madura United winning is 100.0%, with Persib Bandung winning at 0.1%. This forecast aggregates data from Polymarket and Kalshi, and will resolve based on the official results reported at https://ileague.id/. Keep an eye on the match itself on October 22, 2026, to see if Madura United can secure the win as currently predicted.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Differing resolution rules regarding game cancellation. Polymarket resolves to 'No' for win markets, while Kalshi resolves to 'Yes' for the 'Tie' market.Hero tip: Consider the cancellation scenario when trading. A cancellation favors the 'Tie' market on Kalshi but hurts win markets on Polymarket.

Critical divergence points:

  • Polymarket: If the game is canceled, the market resolves to 'No' for win markets. "If the game is canceled entirely, with no make-up game, this market will resolve 'No'."
  • Kalshi: If the game is canceled, the 'Tie' market resolves to 'Yes'. "If Tie is the result of the Madura United vs Persib Bandung professional Indonesia Super League soccer game originally scheduled for Oct 22, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes."
Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.

Polymarket

This event is for the upcoming Indonesia Liga 1 game, scheduled for Thursday, October 22, 2026 between Madura United and Persib Bandung.

Kalshi

The event covers a professional soccer match in the Indonesia Super League scheduled for October 22, 2026, between Madura United and Persib Bandung. The market resolves based on the result after 90 minutes of play plus any stoppage time, without considering extra time or penalty shootouts. Three possible outcomes are evaluated: a win for Madura United, a win for Persib Bandung, or a tie. If the match ends in a tie after regulation time, the 'Tie' market resolves to Yes. Should the game be cancelled or rescheduled to more than 48 hours beyond the original date, the market will resolve to a fair price following the platform's guidelines. The platform explicitly states it is not affiliated with the governing league, and all trademarks remain property of their respective owners.

Frequently asked questions

On Polymarket and Kalshi, this dashboard tracks the probability of different outcomes for the Madura United vs. Persib Bandung match. Currently, the aggregated volume across both platforms is $594,258, with $518,177 traded in the last 24 hours. This allows for a consensus view of predictions, reflecting the collective wisdom of market participants. The dashboard displays the implied probabilities from each platform, offering a comparative analysis of how traders perceive the likelihood of various results. It’s a central hub for monitoring sentiment and potential shifts in expectations surrounding this match.

Prediction market odds, like those found on Polymarket and Kalshi, often differ from traditional sportsbook odds due to the underlying mechanisms. Sportsbooks set odds to ensure profit, incorporating a margin, while prediction markets are driven by genuine supply and demand. This market’s price reflects what traders are willing to pay based on their own research and insights, potentially leading to more accurate probabilities, especially as the event nears. However, sportsbook odds can be influenced by factors like public betting patterns and liability management, creating discrepancies with the more decentralized prediction market pricing.

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. Prices on Polymarket and Kalshi may diverge due to variations in user base, trading fees, and market-specific rules. Each platform attracts a different demographic of traders with varying levels of expertise and access to information regarding the Madura United vs. Persib Bandung match. Furthermore, the liquidity and volume on each platform can influence price discovery. Differences in trading interfaces and the types of orders allowed can also contribute to discrepancies. These factors create independent price formations, even though both platforms track the same underlying event.