TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 31, 7:34 AM EST
Kalshi
This event group tracks the outcome of an NPB baseball game between the Nippon Ham Fighters and the Chiba Lotte Marines scheduled for July 31 at 5:00AM ET. The resolution depends on which team wins the game, with specific rules for ties, cancellations, and postponements.
In the upcoming NPB game, scheduled for July 31 at 5:00AM ET: If the Nippon Ham Fighters win, the market will resolve to "Nippon Ham Fighters". If the Chiba Lotte Marines win, the market will resolve to "Chiba Lotte Marines". 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 Chiba Lotte Marines wins the Chiba Lotte Marines vs Hokkaido Nippon-Ham Fighters Japan NPB game originally scheduled for Jul 31, 2026 at 5:00 AM EDT, then the market resolves to Yes. If Hokkaido Nippon-Ham Fighters wins the Chiba Lotte Marines vs Hokkaido Nippon-Ham Fighters Japan NPB game originally scheduled for Jul 31, 2026 at 5:00 AM EDT, then the market resolves to Yes.
Prediction market odds on this market often differ from traditional sportsbook lines due to varied participant pools and pricing mechanisms. While sportsbooks may incorporate sharp lines and adjustments, prediction markets let traders vote with their dollars in real time, which can produce prices that reflect deeper or more niche insights. The gap between the two can also shift based on trading volume and public sentiment, especially as new information emerges.
On Polymarket and Kalshi, prices can diverge because of differences in user base, liquidity, and trading activity. 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. For example, one platform might attract more local fans or traders with specific insights, skewing its probabilities. Additionally, each venue has its own fee structure and interface, which can influence how users place bets and, consequently, the odds you see across platforms.
Injuries, weather conditions, and recent performance trends can all shift this market as the game approaches. Key starters missing time or a sudden surge in team momentum may cause probabilities to swing dramatically. Additionally, any major news — such as coaching changes or lineup adjustments — could reshape trader sentiment and move prices before the final whistle.