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Samsung Lions vs SSG Landers: Spread
kalshi

What is the margin of victory in Samsung Lions vs SSG Landers?

Volume:
$16,154

Samsung Lions wins by over 1.5 runs

 - Kalshi

Samsung Lions wins by over 1.5 runs - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jul 4, 2026

Closed: Jul 4, 8:24 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

Samsung Lions wins by over 1.5 runs

View
100%
Yes 100¢No 0¢
100¢
N/A
$13,651
N/A
N/A
$10,436
Settled
Yes
kalshi

Samsung Lions wins by over 2.5 runs

100%
Yes 100¢No 0¢
100¢
N/A
$1,600
N/A
N/A
$1,291
Settled
Yes
kalshi

SSG Landers wins by over 2.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$507
N/A
N/A
$441
Settled
No
kalshi

SSG Landers wins by over 1.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$396
N/A
N/A
$136
Settled
No
Total markets: 4

Description

This market focuses on the margin of victory in a Korea KBO baseball game between Samsung Lions and SSG Landers on July 4, 2026. Bettors can wager on whether either team wins by specific run margins.

Kalshi

Resolution is determined by the final margin of victory in the Samsung Lions vs SSG Landers Korea KBO game scheduled for July 4, 2026 at 5:00 AM EDT. The event includes four separate spread thresholds covering both teams: SSG Landers winning by more than 2.5 runs, SSG Landers winning by more than 1.5 runs, Samsung Lions winning by more than 1.5 runs, and Samsung Lions winning by more than 2.5 runs. Each threshold resolves independently based on the final score differential. Only the official final score counts; ties and games that do not complete regulation are resolved according to official KBO rules.

Frequently asked questions

On Kalshi, the dashboard for the Samsung Lions vs SSG Landers spread displays real-time odds and price movements as traders buy and sell shares tied to the final margin of victory. You can monitor the current implied probability, 24-hour trading volume, and historical price charts to see how market sentiment has shifted since the market opened. This market reflects collective trader expectations about whether one team will cover the spread, updated continuously as new information and wagers flow in.

Prediction market odds and traditional sportsbook odds often diverge because they reflect different participant pools and incentive structures. Sportsbooks set lines to balance action and manage risk, while prediction markets are driven by traders seeking profit through accurate forecasting. This market may price the spread differently than major sportsbooks, especially as game time approaches or breaking news emerges. Comparing the two can reveal where informed traders see value relative to conventional betting markets.

On Kalshi, this market is priced through an order-book mechanism where traders directly set bid and ask prices by buying or selling outcome shares. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome reflects the aggregate belief of active traders about the likelihood of that result. As new trades execute, prices adjust in real time, and the spread between bid and ask narrows or widens based on liquidity and conviction. This continuous price discovery process ensures the market remains responsive to fresh data and shifting expectations.

This market resolves around Jul 4, 2026, once the game concludes and the final margin is verified against credible public sources. The outcome is determined by the actual point differential between the two teams at the end of regulation play. Traders holding shares in the winning outcome receive their payout, while those on the losing side forfeit their stake. Resolution is automatic once the result is confirmed and posted to the platform.

Key catalysts include injury announcements to star players, lineup changes, recent team performance trends, and head-to-head matchup history. Weather conditions and home-field advantage can also influence trader expectations about scoring and defensive intensity. Breaking news about roster moves, coaching decisions, or player form in the days leading up to game time may trigger sharp repricing. As the event date approaches, accumulating data on team momentum and public betting patterns typically drive incremental shifts in implied probability.