TOTAL VOLUME:

$134.2b

24H VOL:

$130,522,377

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,438,389,636

404,028

Markets across

30,214

events

MATCHED EVENTS:

2,681

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Test Series Zimbabwe vs Bangladesh: Zimbabwe vs Bangladesh - More Markets
polymarket

What is the result of Zimbabwe vs Bangladesh?

Volume:
$407

Test Series Zimbabwe vs Bangladesh: Zimbabwe vs Bangladesh - Who wins the toss?

 - Polymarket

Test Series Zimbabwe vs Bangladesh: Zimbabwe vs Bangladesh - Who wins the toss? - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 30, 2026

Closed: Jul 4, 11:30 PM EST

polymarket

Polymarket

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

Test Series Zimbabwe vs Bangladesh: Zimbabwe vs Bangladesh - Who wins the toss?

View
100%
Yes 100¢No 0¢
94¢
N/A
$233
N/A
N/A
N/A
Settled
Yes
polymarket

Match goes to Day 3?

100%
Yes 100¢No 0¢
7.9¢
N/A
$164
N/A
N/A
N/A
Settled
Yes
polymarket

Match goes to Day 4?

0%
Yes 0¢No 100¢
—
N/A
$5
N/A
N/A
N/A
Settled
No
polymarket

Match goes to Day 5?

0%
Yes 0¢No 100¢
—
N/A
$5
N/A
N/A
N/A
Settled
No
Total markets: 4

Description

This market refers to the cricket match between Zimbabwe and Bangladesh scheduled for 2026-06-27 in Test Series Zimbabwe vs Bangladesh.

Polymarket

This market refers to the cricket match between Zimbabwe and Bangladesh scheduled for 2026-06-27 in Test Series Zimbabwe vs Bangladesh.

Frequently asked questions

On Polymarket, the Zimbabwe vs Bangladesh Test Series market dashboard tracks real-time odds and trading activity for outcomes related to this cricket matchup. The dashboard displays the current price of the leading contract, historical price movements, and trading volume as participants buy and sell shares reflecting their predictions about the series result. This market allows traders to express views on how the Test Series will unfold, with odds updating continuously as new trades execute. The interface provides transparency into market sentiment and liquidity for those monitoring developments in this international cricket event.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set odds to balance liability and generate profit margins, while prediction markets aggregate the beliefs of traders risking real capital. On platforms like Polymarket, odds emerge from continuous trading rather than a bookmaker's pricing model, which can lead to sharper or more reactive pricing during breaking news. Comparing this market's odds to major sportsbooks can reveal whether traders are pricing outcomes more bullishly or bearishly than traditional betting venues, offering insight into where informed capital is flowing.

On Polymarket, traders set prices through an automated market maker mechanism where buying and selling pressure directly moves the odds. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each contract trades as a separate instrument, and the price of a Yes share reflects the collective probability estimate of all active traders. As new information emerges—team announcements, weather updates, or injury reports—traders adjust their positions, causing prices to shift in real time. The market's depth and liquidity determine how quickly prices respond to new signals, with higher volume typically enabling faster price discovery.

This market resolves around Jul 5, 2026, once the Test Series concludes and the outcome is verifiable from credible public sources. The resolution will reflect the actual result of the cricket match as confirmed by official records and reputable sports reporting. Until that date, traders can continue to buy and sell shares as new developments unfold. Early resolution is possible if the event is cancelled or postponed under circumstances that make the original outcome impossible to determine.

Key catalysts for this market include team roster announcements, player injuries or absences, weather forecasts affecting playing conditions, and pre-match commentary from analysts. Toss results and early-match performance often trigger sharp repricing as traders update their models based on real-time data. Pitch reports, historical head-to-head records, and recent form updates can also shift sentiment. Breaking news about venue changes, umpire assignments, or external disruptions may cause sudden volatility, while each day's play will likely generate incremental adjustments as the series unfolds.