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Hanwha Eagles vs Kia Tigers: Spread
kalshi

Will the Hanwha Eagles or Kia Tigers win by more than 1.5 runs?

Volume:
$12,032

Hanwha Eagles wins by over 1.5 runs

 - Kalshi

Hanwha Eagles wins by over 1.5 runs - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 22, 2026

Closed: Jul 22, 8:44 AM EST

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

Hanwha Eagles wins by over 1.5 runs

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,832
N/A
N/A
$1,832
Settled
Yes
kalshi

Hanwha Eagles wins by over 2.5 runs

100%
Yes 100¢No 0¢
100¢
N/A
$702
N/A
N/A
$436
Settled
Yes
kalshi

Kia Tigers wins by over 1.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$5,772
N/A
N/A
$5,397
Settled
No
kalshi

Kia Tigers wins by over 2.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$3,726
N/A
N/A
$3,346
Settled
No
Total markets: 4

Description

The Hanwha Eagles and Kia Tigers play a Korea KBO baseball game on July 22, 2026. The outcome depends on the final margin of victory, with separate markets tracking whether either team wins by more than 1.5 runs or more than 2.5 runs.

Kalshi

This event comprises four spread-based markets for the Hanwha Eagles vs Kia Tigers Korea KBO game scheduled for July 22, 2026 at 5:30 AM EDT. Each market resolves based on the final run differential between the two teams. The Kia Tigers markets resolve to Yes if they win by more than 1.5 runs or more than 2.5 runs respectively. The Hanwha Eagles markets resolve to Yes if they win by more than 1.5 runs or more than 2.5 runs respectively. Resolution is determined by the official final score of the game as recorded by the Korea KBO League. All markets are independent; a Yes resolution in one market does not preclude Yes resolutions in others depending on the actual margin of victory.

Frequently asked questions

On Kalshi, the Eagles vs Tigers spread market dashboard tracks real-time odds and historical price movements for this matchup's point-spread outcome. The interface displays current market pricing, 24-hour volume of $12,032, and cumulative trading activity. Traders use this data to monitor how the market is pricing the expected margin of victory, with updates reflecting new trades and shifting sentiment as game time approaches. The dashboard provides transparency into market depth and helps participants assess consensus expectations around the spread.

Prediction market odds and traditional sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets aggregate trader beliefs through continuous price discovery. This market may show different implied probabilities than major sportsbooks, particularly if informed traders on Kalshi have conviction that differs from public betting patterns. Comparing the two can reveal where market participants see value relative to conventional oddsmakers.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell contracts representing different spread 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 collective assessment of that outcome's probability, with spreads tightening as more capital flows into the market. Traders can enter limit or market orders, and the platform matches buyers and sellers in real time. As new information emerges or sentiment shifts, prices adjust dynamically to reflect updated expectations about the final margin.

This market resolves around Jul 22, 2026, once the game concludes and the final score is confirmed. The outcome is verified against credible public sources reporting the official result. Traders holding positions corresponding to the actual spread outcome receive their payouts, while opposing positions expire worthless. Resolution timing depends on when the game ends and the score is officially recorded, so early or delayed finishes may affect the exact settlement window.

Key catalysts include injury announcements, lineup changes, weather conditions, and recent team performance trends. Betting action from sharp traders or large syndicates can shift prices significantly, as can breaking news about player availability or coaching decisions. Public sentiment and media narratives may also influence retail participation. As game time nears, late-breaking developments—such as last-minute roster adjustments or unexpected roster moves—often trigger sharp repricing. Monitoring sports news and team updates helps traders anticipate potential market moves.