TOTAL VOLUME:

$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

Markets across

30,097

events

MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Doosan Bears vs Hanwha Eagles: Total Runs
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Doosan Bears vs Hanwha Eagles: Total Runs

Volume:
$8,351

Over 9.5 runs scored

 - Kalshi

Over 9.5 runs scored - Kalshi

1W

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Positive

Negative

Neutral

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Vol.

·

Resolved Jun 23, 2026

Closed: Jun 23, 8:39 AM EST

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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

Over 9.5 runs scored

View
0%
Yes 0¢No 100¢
100¢
N/A
$6,408
N/A
N/A
$3,428
Settled
No
kalshi

Over 11.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$1,021
N/A
N/A
$1,011
Settled
No
kalshi

Over 7.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$648
N/A
N/A
$638
Settled
No
kalshi

Over 5.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$274
N/A
N/A
$246
Settled
No
Total markets: 4

Description

This event tracks the combined run production between Doosan Bears and Hanwha Eagles in their college baseball matchup on June 23, 2026. Bettors predict whether the total runs scored by both teams will exceed various thresholds.

Kalshi

Resolution is determined by the total runs scored by both teams in the Doosan Bears vs Hanwha Eagles game scheduled for June 23, 2026 at 5:30 AM EDT. The event contains four distinct run-total thresholds: 5.5 runs, 7.5 runs, 9.5 runs, and 11.5 runs. Each threshold functions as an independent market outcome. A Yes resolution occurs when the combined team score exceeds the specified threshold for that particular market. The official final score as recorded by the game officials determines the outcome.

Frequently asked questions

On Kalshi, the Bears-Eagles total runs market dashboard tracks real-time odds and price movement for this baseball matchup. The interface displays current market pricing, historical price charts, and 24-hour trading volume to help traders monitor sentiment around the combined run total. This market reflects live trader positioning as the game approaches, giving you a snapshot of how the prediction market community is pricing the likelihood of different run-total outcomes before first pitch.

Prediction market odds and sportsbook odds often diverge because they serve different purposes and operate under different constraints. Sportsbooks set lines to balance action and manage risk, while prediction markets aggregate trader beliefs through continuous price discovery. This market's odds reflect what traders collectively believe will happen, independent of sportsbook margins. Comparing the two can reveal where public opinion and professional oddsmakers disagree on the likely run total, though each source has distinct liquidity and incentive structures.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell contracts representing different run-total outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each contract reflects the cumulative bids and asks from all participants, updating in real time as new trades execute. Traders profit or lose based on whether their prediction matches the final verified result, creating direct incentives for accurate pricing and informed participation.

This market resolves around Jun 23, 2026, once the Doosan Bears and Hanwha Eagles game concludes and the final run total is verifiable from credible public sources. The outcome is determined by the combined runs scored by both teams across all innings. Resolution occurs automatically after the official result is confirmed, at which point winning traders receive their payout and the market closes.

Key lineup announcements, starting pitcher confirmations, and injury updates can shift trader expectations around offensive output and total runs. Weather conditions at game time—wind speed and temperature—directly affect how far the ball travels and influence run-scoring potential. Recent team form, bullpen availability, and head-to-head matchup history also drive trading activity. As game time approaches, any roster changes or late-breaking news typically trigger repricing as traders adjust their positions based on new information.