TOTAL VOLUME:

$134.1b

24H VOL:

$113,466,932

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,423,222,590

402,751

Markets across

30,217

events

MATCHED EVENTS:

2,632

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
ODI Series India vs Afghanistan: India vs Afghanistan - Team Top Batter
polymarket

ODI Series India vs Afghanistan: India vs Afghanistan - Team Top Batter

Volume:
$60

IND4

 - Polymarket

IND4 - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 17, 2026

Closed: Jun 24, 12:00 AM EST

polymarket

Polymarket

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

IND4

View
100%
Yes 100¢No 0¢
—
N/A
$10
N/A
N/A
N/A
Settled
Yes
polymarket

AFG2

0%
Yes 0¢No 100¢
—
N/A
$50
N/A
N/A
N/A
Settled
No
polymarket

Draw

0%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 3

Description

This market refers to which team's player records the highest individual run total in the cricket match between India and Afghanistan scheduled for 2026-06-17 in ODI Series India vs Afghanistan. This market resolves according to the finalized match statistics as published by https://www.espncricinfo.com/. The outcome corresponding to India will be considered correct if the highest individual score in the match is recorded exclusively by a player from India. The outcome corresponding to Afghanistan will be considered correct if the highest individual score is recorded exclusively by a player from Afghanistan. If the highest individual score is shared by at least one player from each team, the market will resolve to Draw. The market will resolve according to which team's player records the highest individual run total regardless of if the match is not competed (e.g. Due to weather conditions). DLS/DRS adjustments and any other on-field rulings affecting batting statistics are treated as ordinary data. If the match is permanently canceled, abandoned, or otherwise completed without official batting statistics being recorded, the market will resolve Draw. If the match is postponed or rescheduled, the market remains open until the listed fixture is completed and official statistics are available.

Polymarket

This market refers to which team's player records the highest individual run total in the cricket match between India and Afghanistan scheduled for 2026-06-17 in ODI Series India vs Afghanistan. This market resolves according to the finalized match statistics as published by https://www.espncricinfo.com/. The outcome corresponding to India will be considered correct if the highest individual score in the match is recorded exclusively by a player from India. The outcome corresponding to Afghanistan will be considered correct if the highest individual score is recorded exclusively by a player from Afghanistan. If the highest individual score is shared by at least one player from each team, the market will resolve to Draw. The market will resolve according to which team's player records the highest individual run total regardless of if the match is not competed (e.g. Due to weather conditions). DLS/DRS adjustments and any other on-field rulings affecting batting statistics are treated as ordinary data. If the match is permanently canceled, abandoned, or otherwise completed without official batting statistics being recorded, the market will resolve Draw. If the match is postponed or rescheduled, the market remains open until the listed fixture is completed and official statistics are available.

Frequently asked questions

On Polymarket, the India vs Afghanistan top batter market dashboard tracks real-time odds and historical price movements for which player will score the most runs in the ODI series matchup. The interface displays current probabilities for each eligible batter, 24-hour trading volume, and order-book depth so traders can monitor sentiment shifts as the series approaches. This market aggregates all buy and sell activity on the platform, giving you a live snapshot of how the prediction community is pricing each player's likelihood of finishing as the series' leading run-scorer.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set odds to balance liability and extract a margin, while prediction markets like this one are driven by trader consensus and real-money risk. Prediction markets typically incorporate breaking news and sentiment faster than traditional sportsbooks update their lines. For this event, comparing Polymarket odds to major sportsbook offerings can reveal whether professional bettors and retail traders are aligned on which batter will lead the series in runs, or whether one venue is pricing in information the other has not yet reflected.

On Polymarket, this market is priced through an automated market maker and order-book mechanism where traders buy and sell shares representing each batter's probability of finishing as the top run-scorer. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each share's price reflects the collective belief of all active traders at that moment. As new information emerges—injuries, recent form, or lineup changes—traders adjust their positions, moving prices up or down. The platform charges a small fee on each trade, and prices converge toward equilibrium as more capital flows into the most likely outcomes.

Several catalysts can shift odds in this market before resolution. Injury announcements or player withdrawals will immediately reprrice the remaining batters' chances. Recent performance in domestic or international cricket, published team lineups, and pre-series commentary from analysts can trigger significant trader repositioning. Weather forecasts affecting match conditions, toss outcomes during the series, and early-match performance in the first ODI will all generate new information that traders incorporate into prices. Momentum from strong individual performances in earlier matches will also drive real-time adjustments as the series unfolds.