TOTAL VOLUME:

$134b

24H VOL:

$87,997,338

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,395,155,069

395,664

Markets across

30,076

events

MATCHED EVENTS:

2,626

PLATFORM COVERAGE:

5

Polymarket:

39%

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Kalshi:

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KT Wiz vs Samsung Lions: Spread
kalshi

KT Wiz vs Samsung Lions: Spread

Volume:
$2,357

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 Jun 27, 2026

Closed: Jun 27, 7:00 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
0%
Yes 0¢No 100¢
100¢
N/A
$1,926
N/A
N/A
$1,898
Settled
No
kalshi

KT Wiz wins by over 1.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$315
N/A
N/A
$270
Settled
No
kalshi

Samsung Lions wins by over 2.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$90
N/A
N/A
$89
Settled
No
kalshi

KT Wiz wins by over 2.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$26
N/A
N/A
$26
Settled
No
Total markets: 4

Description

This event tracks the margin of victory in the KT Wiz versus Samsung Lions Korea KBO game on June 27, 2026. Bettors predict whether one team will win by specific run margins.

Kalshi

Resolution is determined by the final margin of victory in the KT Wiz vs Samsung Lions game originally scheduled for June 27, 2026 at 4:00 AM EDT. The event contains multiple spread thresholds covering both teams: if the Samsung Lions win by more than 2.5 runs or 1.5 runs, or if the KT Wiz win by more than 1.5 runs or 2.5 runs, the corresponding market resolves affirmatively. Each threshold operates independently, allowing bettors to take positions on different victory margin scenarios. The final official box score from the completed game determines all outcomes.

Frequently asked questions

On Kalshi, the dashboard for the KT Wiz vs Samsung Lions spread displays real-time odds and historical price movements as traders position themselves on the outcome. You can monitor current market sentiment, recent trading activity, and 24-hour volume to gauge how prediction market participants are pricing this matchup. The interface shows how the spread contract has moved over time, helping you identify trends and compare current odds against earlier price levels. This live data reflects collective trader expectations about the final margin between the two teams.

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's odds may lead or lag sportsbook spreads depending on information flow and trader conviction. Comparing the two can reveal whether professional bettors and prediction market participants agree on the likely margin, offering insight into consensus expectations versus bookmaker positioning.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell contracts reflecting their belief about the spread outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each contract moves based on supply and demand, with higher prices indicating stronger trader confidence in that outcome. As new information emerges or sentiment shifts, the bid-ask spread adjusts in real time. Traders profit by correctly predicting the final margin, and the market price at any moment represents the aggregated probability estimate across all active participants.

This market resolves around Jun 27, 2026, once the KT Wiz versus Samsung Lions game concludes and the final margin is verified against credible public sources. The outcome is determined by the point spread between the two teams at the end of regulation play. Your position settles based on whether the actual margin matches the predicted spread reflected in this market. Resolution timing depends on official game completion and confirmation of the final score.

Key roster changes, injury announcements, or trades involving either team can shift trader sentiment significantly. Recent team performance, head-to-head records, and home-field advantage assessments influence positioning. Weather conditions, travel schedules, and rest days before the matchup may also prompt repricing. Breaking news about player availability or coaching decisions typically triggers rapid market movement. As game day approaches, late-breaking information and final lineup confirmations often drive the most dramatic price swings, reflecting updated trader expectations about the likely margin.