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 13, 7:04 AM EST
Kalshi
This group forecasts the winner of a single NPB (Nippon Professional Baseball) game between the Saitama Seibu Lions and the Nippon Ham Fighters, scheduled for September 13th. The market resolves to the winning team, with a 50-50 split if the game is canceled or ends in a tie.
In the upcoming NPB game, scheduled for September 13 at 4:00AM ET: If the Saitama Seibu Lions win, the market will resolve to "Saitama Seibu Lions". If the Nippon Ham Fighters win, the market will resolve to "Nippon Ham Fighters". 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 Hokkaido Nippon-Ham Fighters wins the Hokkaido Nippon-Ham Fighters vs Saitama Seibu Lions Japan NPB game originally scheduled for Sep 13, 2026 at 4:00 AM EDT, then the market resolves to Yes. If Saitama Seibu Lions wins the Hokkaido Nippon-Ham Fighters vs Saitama Seibu Lions Japan NPB game originally scheduled for Sep 13, 2026 at 4:00 AM EDT, then the market resolves to Yes.
Prediction market odds, like those found in this market, often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set odds based on their own models and risk assessment, while prediction markets are driven by actual money at stake. This can lead to discrepancies, especially when public sentiment diverges from expert opinion. It’s common to see prediction markets react more quickly to new information and potentially offer more accurate forecasts, though this isn’t always the case. Comparing the two can provide a more well-rounded view of the potential outcome.
Prices for this market on Polymarket and Kalshi 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 its own user base, trading dynamics, and fee structures, all of which can influence price discovery. Additionally, differing levels of information available to traders on each platform, or varying interpretations of the same information, can lead to discrepancies. Market sentiment and liquidity also play a role; if one platform has significantly more volume, its prices may be more responsive to new information or shifts in opinion. Finally, differing risk appetites among traders on each platform can contribute to price differences.