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Lotte Giants vs SSG Landers: Total Runs
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Lotte Giants vs SSG Landers: Total Runs

Volume:
$5,081

Over 11.5 runs scored

 - Kalshi

Over 11.5 runs scored - Kalshi

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Vol.

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Resolved Jun 16, 2026

Closed: Jun 16, 9:00 AM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
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Over 11.5 runs scored

View
100%
Yes 100¢No 0¢
100¢
N/A
$2,555
N/A
N/A
$2,394
Settled
Yes
kalshi

Over 9.5 runs scored

100%
Yes 100¢No 0¢
100¢
N/A
$1,571
N/A
N/A
$1,405
Settled
Yes
kalshi

Over 7.5 runs scored

100%
Yes 100¢No 0¢
100¢
N/A
$693
N/A
N/A
$370
Settled
Yes
kalshi

Over 5.5 runs scored

100%
Yes 100¢No 0¢
100¢
N/A
$263
N/A
N/A
$249
Settled
Yes
Total markets: 4

Description

This baseball game between Lotte Giants and SSG Landers on June 16, 2026 will be evaluated based on the combined run total scored by both teams. Bettors are predicting whether the game will feature high-scoring offensive performances or be dominated by pitching and defense.

Kalshi

Resolution is determined by the combined total runs scored by both Lotte Giants and SSG Landers in their game scheduled for June 16, 2026 at 5:30 AM EDT. The event contains four distinct thresholds: if the combined score exceeds 5.5 runs, 7.5 runs, 9.5 runs, or 11.5 runs, the corresponding market resolves affirmatively. Each threshold operates independently, allowing bettors to express varying confidence levels about offensive output. The final official box score from the completed game determines all resolutions, with each threshold evaluated against the actual combined run total.

Frequently asked questions

On Kalshi, the dashboard for the Lotte Giants vs SSG Landers total runs market displays real-time odds and price movements as traders position themselves on the combined run total for this matchup. You can monitor current implied probabilities, recent trade activity, and historical price charts to understand how market sentiment has shifted. The platform aggregates all buy and sell orders into a live order book, letting you see the depth of support at different price levels. This transparency helps traders gauge conviction around whether the game will finish with a higher or lower run total than the market consensus.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and protect their margin, while prediction markets like this one are driven by traders risking real capital on their forecasts. Sportsbooks may adjust lines more slowly or conservatively, whereas prediction markets can react quickly to new information—such as lineup changes or weather updates before game time. Comparing this market's odds to major sportsbook totals can reveal where informed traders see value, though both should be treated as independent signals rather than confirmations of each other.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks on the combined run total outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price you see reflects the marginal trade—the last executed transaction—and moves as new orders flow in. Kalshi's system allows you to buy or sell shares at the current best bid or ask, with your position settling in cash once the game concludes and the final run total is verified. Liquidity and spreads can vary throughout the day, so checking the order book depth helps you understand execution costs before placing a trade.

This market resolves around Jun 16, 2026, once the Lotte Giants and SSG Landers game concludes and the final combined run total is confirmed. The outcome is determined by the official box score from the matchup, verified against credible public reporting of the game result. No adjustments are made for subsequent events or disputes; the resolution reflects the score as recorded at the end of regulation play. Traders should monitor for any postponements or schedule changes that might affect the resolution date.

Several catalysts can shift odds in this market before game time and during play. Lineup announcements—such as injuries to key batters or pitchers—often trigger sharp repricing, as do weather forecasts that might favor high-scoring or low-scoring conditions. Starting pitcher matchups and recent offensive form of each team can also drive trader positioning. Once the game begins, early runs scored will influence real-time odds as traders update their expectations for the final total. Late-inning developments, such as a team pulling its starter or a shift in game flow, may create additional volatility as the market approaches settlement.