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 10, 9:19 AM EST
Kalshi
This event group covers the outcome of a single NPB (Nippon Professional Baseball) game between the Yokohama BayStars and Yomiuri Giants scheduled for July 10, 2026 at 5:15 AM EDT. Markets across Polymarket and Kalshi are betting on which team will win this matchup.
In the upcoming NPB game, scheduled for July 10 at 5:15AM ET: If the Yokohama BayStars win, the market will resolve to "Yokohama BayStars". If the Yomiuri Giants win, the market will resolve to "Yomiuri Giants". 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.
Each market resolves based on the outcome of the Yomiuri Giants vs Yokohama DeNA BayStars NPB game originally scheduled for July 10, 2026 at 5:15 AM EDT. If the game is postponed or delayed, markets remain open and close after the rescheduled game concludes within two days. Should the game be cancelled or rescheduled beyond two days, markets resolve to a fair price per official rules. Tied games result in 50/50 resolution for all markets.
Prediction markets like Polymarket and Kalshi are driven by trader supply and demand rather than bookmaker margins, often reflecting sharper, more efficient pricing. Sportsbooks build in a vig (commission) and manage liability across many bettors, whereas prediction markets aggregate distributed opinion directly. This market's odds may diverge from traditional sportsbooks because prediction traders specialize in information aggregation and have different incentive structures. Over time, prediction market prices tend to converge toward actual outcomes, making them useful benchmarks for comparing against conventional sports betting lines.
Polymarket and Kalshi operate under different regulatory frameworks, user demographics, and liquidity pools, which naturally produces price variation. 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's fee structure, order-book depth, and trader composition influence how quickly new information is priced in. Arbitrage traders exploit these gaps, but frictions—withdrawal delays, platform-specific rules, and minimum trade sizes—prevent prices from converging instantly. Monitoring both venues gives you a fuller picture of where the market truly stands and highlights potential mispricings.
Key catalysts include roster announcements, injury reports, recent team performance, and head-to-head historical records. Weather conditions on game day and any last-minute lineup changes can shift trader sentiment sharply. Media coverage and expert commentary often influence retail participation, amplifying price swings. Trading volume and platform-specific news flow also matter—a surge in activity on one venue can signal new information or shift consensus. Monitoring these signals helps you anticipate moves before they fully price in across this market.