TOTAL VOLUME:

$134b

24H VOL:

$107,351,958

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,416,970,024

400,720

Markets across

30,097

events

MATCHED EVENTS:

2,633

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Chunichi Dragons vs Hanshin Tigers
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Who will win the Chunichi Dragons vs Hanshin Tigers game?

Volume:
$110,021

Hanshin Tigers

 - Kalshi

Hanshin Tigers - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jun 30, 2026

Closed: Jun 30, 8:19 AM EST

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Kalshi

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

Hanshin Tigers

View
100%
Yes 100¢No 0¢
100¢
N/A
$59,029
N/A
N/A
$36,384
Settled
Yes
kalshi

Chunichi Dragons

0%
Yes 0¢No 100¢
100¢
N/A
$50,992
N/A
N/A
$37,655
Settled
No
Total markets: 2

Description

A Japan NPB regular season baseball game between the Chunichi Dragons and Hanshin Tigers scheduled for June 30, 2026. The outcome depends on which team wins the matchup.

Kalshi

Resolution is based on the final result of the game originally scheduled for Jun 30, 2026 at 5:00 AM EDT. If the game is postponed or delayed, markets remain open and close after the rescheduled game concludes within two days. Should the game be cancelled or rescheduled beyond two days, markets resolve to a fair price per official rules. Tied games resolve to 50/50.

Frequently asked questions

The Chunichi Dragons vs Hanshin Tigers matchup dashboard on Kalshi tracks real-time odds and historical price movements for this baseball event. Traders use the platform to buy and sell shares based on their predictions of the game outcome. The dashboard displays current market prices, 24-hour trading volume, and cumulative liquidity, giving you a live snapshot of how the prediction market is pricing this Central League matchup. You can monitor how odds shift as new information emerges closer to game time.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set odds to balance their book and manage risk, while prediction markets aggregate the collective beliefs of traders who have real money at stake. For this market, prediction market participants may price the outcome differently than traditional sportsbooks, particularly if they incorporate unique insights or react faster to breaking news. Comparing the two can reveal where consensus differs and highlight potential value.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares tied to each possible outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome contract reflects the probability traders assign to it, with contracts ranging from $0 to $1. As new trades execute, prices adjust in real time. You can enter limit or market orders to position yourself, and your profit or loss is determined by the final settlement price once the event concludes.

This market resolves around Jun 30, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will reflect the official final score and winner of the game as recorded by reliable sports data sources. Traders holding the winning outcome contract will receive the full payout, while those on the losing side will receive nothing. Resolution typically occurs within hours of the game's conclusion, once the result is officially confirmed.

Several factors could shift odds significantly before the game. Lineup announcements, injury updates to key players, and recent team performance streaks often trigger sharp moves. Weather conditions at game time, bullpen availability, and head-to-head matchup history between the Dragons and Tigers can all influence trader sentiment. Breaking news about player suspensions or roster changes may also cause rapid repricing. As the start time approaches, late-breaking developments and expert commentary typically drive increased trading volume and volatility.