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: Jul 10, 7:30 PM EST
Polymarket
This event group covers the WNBA matchup between the Dallas Wings and Toronto Tempo scheduled for July 10, 2026 at 7:30 PM ET. Polymarket offers a binary win/loss market with provisions for postponement and cancellation, while Kalshi offers a separate overtime occurrence market. The core question is who wins the game, with secondary interest in whether the game goes to overtime.
In the upcoming WNBA game, scheduled for July 10 at 7:30PM ET: If the Dallas Wings win, the market will resolve to "Dallas Wings". If the Toronto Tempo win, the market will resolve to "Toronto Tempo". 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 Dallas and Toronto go to overtime in the Dallas vs Toronto women's professional basketball game originally scheduled for Jul 10, 2026, then the market resolves to Yes.
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 operates under different contract structures, user bases, and liquidity conditions. Polymarket may offer a binary outcome contract on the overall result, while Kalshi structures its offering around overtime or other specific game conditions. Regulatory frameworks and fee schedules also vary between venues, affecting how traders price risk. Additionally, the timing of large trades, differences in available information at any given moment, and platform-specific user demographics can create temporary price gaps. Savvy traders monitor these spreads to identify arbitrage opportunities before prices converge.
Key catalysts include injury announcements, roster changes, and team performance in the days leading up to tipoff. Betting action from sharp bettors and sportsbook line movement often precede prediction market shifts, so monitoring those channels can give early signals. Player availability, recent form, head-to-head matchup history, and any last-minute coaching decisions will all influence trader sentiment. Media narratives and public perception can also drive retail participation, creating volatility. Watch for any trades or transactions that alter team composition, as these typically trigger immediate repricing across both platforms.