TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 15, 2:29 PM EST
Kalshi
Another set of markets determines the winner of the first half for the same New York versus Connecticut women's basketball game. The result hinges on which team accumulates more points in that specific half of regular play, again ignoring overtime scoring.
The markets resolve based on the team that scores the most points during the specified half of regulation time in the New York vs Connecticut women's Pro Basketball game originally scheduled for Aug 15, 2026. If both teams score the same amount of points during the half, all team outcomes resolve to No and the Tie outcome resolves to Yes. Overtime periods are excluded from consideration. If the game is postponed or delayed, the market remains open and closes after the rescheduled game finishes within two days. If the game is cancelled or rescheduled beyond two days, all markets resolve to a fair price. Kalshi is not affiliated with the Governing League, and all trademarks belong to their respective owners.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, traders actively set prices through buying and selling contracts that represent each possible halftime leader. The current implied chance for each team is displayed as a percentage, derived from the relative contract prices. This continuous pricing model allows for rapid adjustments based on new information, such as starting lineups or weather conditions affecting early gameplay strategy.
This market resolves around Aug 15, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The official halftime score from the game will determine the winning contract, and the result is finalized shortly after the first half concludes. No additional analysis or interpretation is needed beyond the publicly recorded game data.
Key signals that could shift this market include injury reports affecting star players, coaching strategies emphasizing early leads, and weather impacts on game pace. Any news altering the perceived strength or momentum of either team before tip-off may cause traders to adjust their positions. Additionally, broader NBA trends or recent performance metrics can influence sentiment in the final days leading to the game.