TOTAL VOLUME:

$134.1b

24H VOL:

$133,388,117

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,436,095,462

405,232

Markets across

30,526

events

MATCHED EVENTS:

2,693

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Indonesia vs. Oman - Halftime Result
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Indonesia vs. Oman - Halftime Result

Volume:
$0

Indonesia

 - Predict

Indonesia - Predict

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 5, 2026

Closed: Jun 5, 9:00 AM EST

predict

Predict

View
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
predict

Indonesia

View
N/A
N/A
—
$7
N/A
N/A
N/A
N/A
Settled
Yes
predict

Draw

N/A
N/A
—
$3,960
N/A
N/A
N/A
N/A
Settled
No
predict

Oman

N/A
N/A
—
$1,779
N/A
N/A
N/A
N/A
Settled
No
Total markets: 3

Description

In the upcoming FIFA International Friendlies game between Indonesia and Oman, scheduled for June 5, 2026 at 9:00 AM ET: This event contains halftime result markets for home, draw, and away outcomes within the first 45 minutes of regular play plus stoppage time.

Frequently asked questions

The Indonesia vs. Oman - Halftime Result dashboard on Predict tracks real-time odds and prediction market activity for the halftime outcome of this international football match. The dashboard displays current odds for each halftime result option, historical price movements, and trading volume data. You can monitor how market participants are pricing each outcome as match day approaches, giving you insight into where informed traders and casual predictors believe the halftime score will land. This live tracking helps you understand market sentiment and identify shifts in confidence around Indonesia, Oman, or a draw at the interval.

Prediction market odds on Predict often diverge from traditional sportsbook odds because they reflect real-time crowd sentiment and decentralized pricing rather than fixed bookmaker margins. Sportsbooks typically build in a house edge and adjust lines based on liability management, while prediction markets aggregate the beliefs of many independent traders. For the Indonesia vs. Oman halftime result, comparing Predict odds to major sportsbooks can reveal whether the crowd is more or less bullish on Indonesia or Oman than professional oddsmakers. These differences can highlight value opportunities or consensus gaps worth monitoring before kickoff.

On Predict, the Indonesia vs. Oman - Halftime Result is priced through an order-book or automated market maker model where traders buy and sell shares representing each halftime outcome. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices reflect the cumulative bets placed on Indonesia, Oman, or a draw at halftime, with the most likely outcome commanding the highest price. As new information emerges—team news, weather, or betting flows—prices adjust dynamically. The current top outcome reflects where the market consensus lies, and you can enter or exit positions at any time before the match begins, locking in your prediction at the prevailing market price.

The Indonesia vs. Oman - Halftime Result market resolves at Jun 5, 2026, which corresponds to the end of the first half of the match. The outcome is determined by the official halftime score reported by the match officials and governing football authorities. Once the referee signals the end of the first half, the final halftime result becomes fixed and the market settles accordingly. Traders holding positions on the correct halftime outcome receive their payout, while incorrect positions expire worthless. Resolution is automatic and final once the halftime whistle sounds.

Several factors could shift odds for the Indonesia vs. Oman halftime result before kickoff. Team news—injuries to key players, lineup announcements, or tactical changes—often triggers sharp price moves. Weather conditions at the venue may favor one side's playing style. Recent form, head-to-head history, and betting syndicate activity can all influence market sentiment. Closer to match day, late injury reports or surprise starting XI confirmations typically drive the largest repricing. Additionally, if one team is heavily favored by early betting, contrarian traders may push prices in the opposite direction, creating volatility that reflects genuine uncertainty about the halftime outcome.