TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 5, 9:54 PM EST
Kalshi
This market tracks whether Veronica Burton will score more or less than 3.5 rebounds in the Dallas Wings vs. Golden State Valkyries game. The aggregated consensus probability for the leading outcome is 100.0%, drawn from Kalshi and Polymarket, with resolution based on official results at wnba.com. Watch for the game on August 17, 2026, which will determine the final outcome.
In the upcoming WNBA game, scheduled for August 17 at 10:00PM ET: If the Dallas Wings win, the market will resolve to "Dallas Wings". 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.
The market resolves based on the result of the Dallas vs Washington women's professional basketball game originally scheduled for August 5, 2026. If Washington wins, the Washington market resolves to Yes; if Dallas wins, the Dallas market resolves to Yes. Should the game be postponed or delayed, markets remain open and close after the rescheduled game concludes, provided it occurs within two days of the original date. If the game is cancelled or rescheduled beyond this two-day window, all markets resolve to a fair price. Kalshi disclaims any official affiliation with the governing league, and all trademarks remain property of their respective owners.
On Polymarket and Kalshi, pricing can vary due to differences in user bases, liquidity, and market design. 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 venue might attract more casual fans, skewing its probabilities, while the other could draw sharper traders focused on statistical edges. These dynamics often produce divergent views, especially when new information emerges mid-season.