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 22, 8:12 AM EST
Kalshi
This group forecasts the winner of a Nippon Professional Baseball (NPB) game between the Nippon Ham Fighters and the Tohoku Rakuten Golden Eagles, scheduled for September 22nd. The market resolves to the team that wins the game, with specific rules for postponed or canceled games.
In the upcoming NPB game, scheduled for September 22 at 5:00AM ET: If the Nippon Ham Fighters win, the market will resolve to "Nippon Ham Fighters". If the Tohoku Rakuten Golden Eagles win, the market will resolve to "Tohoku Rakuten Golden Eagles". 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 NPB. A consensus of credible reporting may also be used.
If Tohoku Rakuten Golden Eagles wins the Tohoku Rakuten Golden Eagles vs Hokkaido Nippon-Ham Fighters Japan NPB game originally scheduled for Sep 22, 2026 at 5:00 AM EDT, then the market resolves to Yes. If Hokkaido Nippon-Ham Fighters wins the Tohoku Rakuten Golden Eagles vs Hokkaido Nippon-Ham Fighters Japan NPB game originally scheduled for Sep 22, 2026 at 5:00 AM EDT, then the market resolves to Yes.
Prices on Polymarket and Kalshi for this market can diverge due to several factors. 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 has a different user base with varying levels of expertise and access to information regarding the Nippon Ham Fighters and Golden Eagles. Trading volume also plays a role; higher volume on one platform can lead to more efficient price discovery. Furthermore, the specific mechanisms for trading and market making on each platform can influence price formation, resulting in differing probabilities for the same event. These differences are normal and reflect the dynamic nature of prediction markets.