TOTAL VOLUME:

$134.2b

24H VOL:

$129,159,707

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,442,132,418

404,744

Markets across

30,489

events

MATCHED EVENTS:

2,691

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Insights
Indices
Tour
All
Trending
Breaking
New
Ending Soon
Politics
Sports
Crypto
Companies
Elections
Financials
Economics
Other
Entertainment
Science and Technology
KBO: LG Twins vs. Kia Tigers
kalshi
polymarket

KBO: LG Twins vs. Kia Tigers

Volume:
$201,839

Kia Tigers

 - Kalshi

Kia Tigers - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 17, 2026

Closed: Jun 17, 8:24 AM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Kia Tigers

View
100%
Yes 100¢No 0¢
100¢
N/A
$93,267
N/A
N/A
$70,856
Settled
Yes
kalshi

LG Twins

View
0%
Yes 0¢No 100¢
100¢
N/A
$88,421
N/A
N/A
$55,315
Settled
No
polymarket

KBO: LG Twins vs. Kia Tigers

View
0%
Yes 0¢No 100¢
—
N/A
$20,151
N/A
N/A
N/A
Settled
Yes
Total markets: 3

Description

This event group covers a single KBO (Korean Baseball Organization) regular season game between LG Twins and Kia Tigers scheduled for June 17, 2026 at 5:30 AM EDT. Both Polymarket and Kalshi have created markets to predict the outcome of this matchup.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi's resolution logic contains a logical contradiction where both possible outcomes (LG Twins win and Kia Tigers win) resolve to Yes, making the market unresolvable and creating a data integrity failure.Hero tip: Avoid trading on Kalshi until the market is corrected. The Kalshi market as written cannot distinguish between outcomes. Use Polymarket as your authoritative source: it resolves to the winning team name or 50-50 in edge cases (postponement, cancellation, tie).

Critical divergence points:

  • Polymarket: Binary outcome market with clear winner-takes-all logic. Resolves to team name of winner. Edge cases (postponement, cancellation, tie) resolve 50-50. Resolution source: official KBO information and credible reporting consensus.
  • Kalshi: Contradictory Yes/Yes resolution. Market resolves to Yes if Kia Tigers wins AND also resolves to Yes if LG Twins wins, creating logical impossibility. No specification of No outcome.
Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.

Polymarket

This is a market on the KBO baseball game between LG Twins and Kia Tigers, scheduled for June 17 at 5:30AM ET. This market will resolve to "LG Twins" if the LG Twins win the game. This market will resolve to "Kia Tigers" if the Kia Tigers 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.

Kalshi

Resolution is based on the final result of the LG Twins vs Kia Tigers Korea KBO game originally scheduled for June 17, 2026 at 5:30 AM EDT. If the game is postponed or delayed, the market remains open and closes after the rescheduled game concludes within two days. Should the game be cancelled or rescheduled beyond two days, the market resolves to a fair price per official rules. In the event of a tie, the market resolves 50/50.

Frequently asked questions

Prediction markets and sportsbooks price events differently because they operate under distinct incentive structures. Sportsbooks set odds to balance liability and lock in profit margins, often adjusting lines to manage risk rather than reflect true probability. Prediction markets, by contrast, rely on trader competition and financial incentive alignment—participants profit by accurately forecasting outcomes, creating pressure toward efficient pricing. This market aggregates trader consensus across multiple platforms, which can diverge from traditional sportsbook lines. Comparing the two reveals where public perception, sharp money, and market-maker positioning diverge, offering traders an edge in identifying mispriced opportunities.

Polymarket and Kalshi can show different prices on the same event for several reasons. Polymarket and Kalshi 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 attracts distinct trader demographics, liquidity pools, and fee structures, which influence how quickly prices converge to fair value. Polymarket may draw more volume in certain regions or trader types, while Kalshi appeals to different segments. Latency in arbitrage, differences in order-book depth, and platform-specific rules around trading hours or settlement also create temporary spreads. These gaps typically narrow as sophisticated traders exploit mispricings, but during low-liquidity windows, meaningful divergence can persist, rewarding alert traders who monitor both venues.

Several catalysts can shift prices before the game kicks off. Lineup announcements, injury updates to key players, and roster changes will trigger immediate repricing as traders reassess win probability. Weather conditions at the stadium, recent team form, and head-to-head historical matchups also influence sentiment. Live game action—early runs, errors, or momentum swings—will cause sharp intraday moves as traders update their forecasts in real time. Breaking news about player availability or coaching decisions can spark sudden volatility. Traders monitoring social media, team official accounts, and KBO press releases will spot these signals first and capitalize on the resulting price movements before consensus catches up.