TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Texas Southern Tigers vs. Tulane Green Wave (W)
- Polymarket
Texas Southern Tigers vs. Tulane Green Wave (W) - Polymarket
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 2, 2026
$
This event group concerns the outcome of a women's college basketball game between Texas Southern and Tulane, originally scheduled for November 2, 2026. The markets aim to determine which team wins the game.
This event is for the WBB game between Texas Southern Tigers and Tulane Green Wave on November 2 at 5:00PM ET. 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 market resolves to Yes if the specified team wins the women's college basketball game originally scheduled for November 2, 2026. Should the game be postponed but begin within 48 hours of its scheduled start, the market stays open and resolves according to the official final outcome. If the game is cancelled or fails to start within 48 hours of the scheduled time, both markets resolve to a fair price. Kalshi is not connected to the NCAA, and all trademarks are property of their respective owners.
This market resolves around Nov 2, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Tulane vs. Texas Southern game will be used to determine the winning outcome in this market. The outcome will be based on the official results reported by the governing body of the sport. Traders should monitor official sources for updates as the resolution date approaches, ensuring they are aware of the final result that will settle this market.
Several factors could influence the probabilities in this market before Nov 2, 2026. Any news regarding team injuries, changes in coaching staff, or significant shifts in player performance could impact the perceived likelihood of either team winning. Unexpected weather conditions or other external factors affecting game play could also cause movement. Furthermore, large trades on either Polymarket or Kalshi could shift prices, especially if they indicate a strong conviction from informed traders. Monitoring these signals can help predict potential market fluctuations.