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: Jun 19, 10:00 PM EST
Polymarket
This event group covers a WNBA game between the Minnesota Lynx and Golden State Valkyries scheduled for June 19, 2026. Two prediction markets track different aspects: one focuses on whether the game goes to overtime, while the other resolves on the final winner. Both markets reference the same underlying game but with distinct settlement criteria.
In the upcoming WNBA game, scheduled for June 19 at 10:00PM ET: If the Minnesota Lynx win, the market will resolve to "Minnesota Lynx". If the Golden State Valkyries win, the market will resolve to "Golden State Valkyries". 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, this market will resolve 50-50. The result will be determined based on the final score including any overtime periods.
If Minnesota and Golden State go to overtime in the Minnesota vs Golden State women's professional basketball game originally scheduled for Jun 19, 2026, then the market resolves to Yes.
Polymarket and Kalshi operate under different regulatory frameworks, user bases, and liquidity profiles, which can create pricing gaps even on identical 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's fee structure, available trading pairs, and the mix of retail versus professional traders also influence how quickly prices adjust to news. Arbitrage opportunities sometimes emerge when one venue lags the other, though transaction costs and withdrawal delays typically prevent perfect convergence. Monitoring both helps you identify mispricings and understand which platform's crowd is more informed on this particular matchup.
Key injury announcements, roster changes, or coaching decisions involving either team can shift odds significantly. Recent performance trends, head-to-head history, and any trades or free-agent signings will influence trader sentiment. Media coverage, expert predictions, and line movement at major sportsbooks often trigger repricing here as well. Closer to game day, weather conditions, last-minute lineup confirmations, and sharp money flowing into one side typically drive the largest moves. Monitor team social media and league news feeds for catalysts that could reshape market expectations.