TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 6, 7:04 AM EST
Kalshi
This prediction market resolves to which team, the LG Twins or the Samsung Lions, wins a KBO baseball game. The game was originally scheduled for September 6th, but Polymarket lists September 12th. Resolution depends on official KBO results, with a 50-50 split in case of cancellation or a tie.
This is a market on the KBO baseball game between LG Twins and Samsung Lions, scheduled for September 12 at 4:00AM ET. This market will resolve to "LG Twins" if the LG Twins win the game. This market will resolve to "Samsung Lions" if the Samsung Lions win the game. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, or ends in a tie, this market will resolve 50-50. The primary resolution source will be official information from the KBO. A consensus of credible reporting may also be used.
The market resolves based on the outcome of the Samsung Lions vs LG Twins Korea KBO game scheduled for September 6, 2026. If the game is postponed or delayed, it remains open until the rescheduled game concludes within two days. Cancellations or rescheduling beyond two days result in a fair price resolution. Ties resolve the market at 50/50.
This is a market on the KBO baseball game between Samsung Lions and LG Twins, scheduled for September 6 at 4:00AM ET. This market will resolve to "Samsung Lions" if the Samsung Lions win the game. This market will resolve to "LG Twins" if the LG Twins win the game. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, or ends in a tie, this market will resolve 50-50. The primary resolution source will be official information from the KBO. A consensus of credible reporting may also be used.
Prediction market odds, like those found on Kalshi and Predict, often reflect a more accurate forecast than traditional sportsbook odds. This is because prediction markets incentivize participants to reveal their true beliefs, while sportsbooks must account for profit margins and potential biases. While sportsbooks initially set odds based on statistical models and expert opinions, this market dynamically adjusts based on the collective intelligence of traders. The spread between prediction market prices and sportsbook odds can sometimes be significant, offering opportunities for arbitrage. However, both sources provide valuable information for informed decision-making.
Prices on Kalshi and Predict can diverge due to several factors. Kalshi and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform has its own user base, trading rules, and fee structures, which can influence price discovery. Differences in liquidity, or trading volume, can also contribute to price discrepancies. Furthermore, the platforms may attract different types of traders – some more risk-averse, others more speculative – leading to varying assessments of probabilities. While both platforms ultimately aim to reflect the true probability of an event, these factors can cause temporary or sustained price differences in this market.
Several signals could significantly impact this market. Key player injuries, unexpected team performance shifts, and major coaching changes are all potential catalysts. Significant news regarding team finances or ownership could also influence trader sentiment. Additionally, the results of important regular-season games and playoff matchups will directly affect the perceived probabilities of each team winning the championship. Any information that alters the perceived competitive landscape of the KBO league has the potential to move this market, as traders adjust their positions based on new data and insights.