TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 19, 7:44 AM EST
Kalshi
This event group covers a single NPB (Nippon Professional Baseball) matchup between the Chiba Lotte Marines and Fukuoka SoftBank Hawks scheduled for July 19, 2026 at 5:00 AM EDT. Markets on both Polymarket and Kalshi are pricing the outcome of this game, with resolution tied to the official winner.
In the upcoming NPB game, scheduled for July 19 at 5:00AM ET: If the Chiba Lotte Marines win, the market will resolve to "Chiba Lotte Marines". If the Fukuoka SoftBank Hawks win, the market will resolve to "Fukuoka SoftBank Hawks". 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.
This event covers the Fukuoka Hawks vs Chiba Lotte Marines Japan NPB game originally scheduled for July 19, 2026 at 5:00 AM EDT. Resolution depends on the final game outcome: if the Hawks win, that market resolves Yes; if the Marines win, that market resolves Yes. If the game is postponed or delayed, markets remain open and close after the rescheduled game finishes within two days. Games cancelled or rescheduled beyond two days resolve to a fair price per rules. Tied games resolve both markets to 50/50.
Prediction markets and sportsbooks both express probability, but they operate differently. Sportsbooks set odds to balance their book and lock in profit margins, while prediction markets derive odds from open trading between participants with real money at stake. Prediction market prices often reflect longer-term sentiment and can diverge from traditional sportsbook lines, especially as new information emerges. Many traders use both sources to identify discrepancies and spot value before major events.
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 different trader demographics, liquidity levels, and trading strategies, which can push prices apart even on the same underlying event. Polymarket and Kalshi may also have different fee structures, user interfaces, or promotional incentives that influence order flow. Additionally, timing lags in information flow between venues and varying levels of market depth can cause temporary price gaps, creating opportunities for arbitrage-minded traders.
Key catalysts include roster changes, injury announcements, recent team performance trends, and head-to-head historical matchups. Weather conditions on game day, home-field advantage dynamics, and late-breaking lineup decisions can all shift trader sentiment. Media coverage, expert commentary, and betting action from other markets may also influence pricing. As the event date approaches, real-time updates during pre-game activities often trigger sharp price movements.