TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 23, 8:30 AM EST
Predict
This event group concerns a Korean Baseball Organization (KBO) game between the Kia Tigers and the Doosan Bears. The markets resolve to the winning team, with a 50-50 split in the event of a tie or cancellation without a make-up game.
This is a market on the KBO baseball game between Kia Tigers and Doosan Bears, scheduled for September 23 at 5:30AM ET. This market will resolve to "Kia Tigers" if the Kia Tigers win the game. This market will resolve to "Doosan Bears" if the Doosan Bears 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.
This is a market on the KBO baseball game between Kia Tigers and Doosan Bears, scheduled for September 23 at 5:30AM ET. This market will resolve to "Kia Tigers" if the Kia Tigers win the game. This market will resolve to "Doosan Bears" if the Doosan Bears 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.
Polymarket 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. Prices for the KBO Kia vs. Doosan market can vary between Polymarket and Predict due to differences in user base, trading activity, and market design. Each platform attracts a distinct set of participants with varying risk appetites and information sets, which influences price discovery. Furthermore, Polymarket and Predict may have different liquidity levels and trading fees, impacting how quickly prices react to new information. These factors contribute to the observed price discrepancies, even though both markets ultimately aim to predict the same event outcome.