TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 17, 10:00 PM EST
Polymarket
This event group covers two distinct prediction markets on the Las Vegas Aces vs. Phoenix Mercury WNBA game scheduled for June 17, 2026 at 10:00 PM ET. Kalshi's market focuses on whether the game goes to overtime, while Polymarket's market focuses on the winner of the game. Both markets reference the same underlying game but ask fundamentally different questions.
In the upcoming WNBA game, scheduled for June 17 at 10:00PM ET: If the Las Vegas Aces win, the market will resolve to "Las Vegas Aces". If the Phoenix Mercury win, the market will resolve to "Phoenix Mercury". 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 Las Vegas and Phoenix go to overtime in the Las Vegas vs Phoenix women's professional basketball game originally scheduled for Jun 17, 2026, then the market resolves to Yes.
Polymarket and Kalshi serve different trader demographics and operate under distinct regulatory frameworks, creating natural price divergence. 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, user interface, and liquidity depth influence how quickly new information gets priced in. Polymarket may attract retail traders seeking simple binary outcomes, while Kalshi draws institutional participants focused on specific event details like overtime scenarios. These structural differences mean identical events can trade at materially different odds across venues, creating arbitrage opportunities for alert traders.
Key injury announcements, roster changes, or late-breaking lineup news can shift odds significantly in the days leading up to the game. Betting trends and sharp money flowing into one side may signal professional consensus. Recent team performance, head-to-head records, and travel schedules also influence trader positioning. Additionally, unexpected weather, venue changes, or other logistical disruptions could trigger repricing. Monitor official team communications and sports media closely, as prediction markets react swiftly to any development that affects competitive balance or game conditions.