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%
Purdue
- Kalshi
Purdue - Kalshi
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 2, 2026
Time left: 02h:01m:31s
$
This event group concerns the outcome of a women's college basketball game between IU Indy Jaguars and Purdue Boilermakers, originally scheduled for November 2, 2026. The markets aim to determine which team wins the game.
This event is for the WBB game between IU Indy Jaguars and Purdue Boilermakers on November 2 at 7:00PM 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.
Markets resolve based on the winning team of the women's college basketball game originally scheduled for November 2, 2026. If the game is postponed but begins within 48 hours of the original time, markets stay open and resolve according to the official result. If the game is cancelled or does not start within 48 hours, markets resolve to a fair price. Kalshi states no affiliation with the NCAA, and all trademarks belong to their respective owners.
Prediction market odds, like those found on Polymarket and Kalshi, often reflect a more nuanced view than traditional sportsbooks. Sportsbooks set lines to balance action and incorporate a profit margin, while this market is driven by the collective wisdom of traders who are incentivized to accurately predict the outcome. This can lead to differences in probabilities and implied outcomes. However, both types of odds ultimately aim to represent the likelihood of each team winning the college basketball game.
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. Prices on Polymarket and Kalshi can diverge due to a number of factors. Each platform has its own user base, trading rules, and liquidity levels. Differences in these factors can lead to varying price discovery. For example, Polymarket might attract more sophisticated traders, while Kalshi could have a broader audience with different perspectives on the college basketball game. These differing dynamics contribute to the price discrepancies observed between the two platforms.
This market resolves around Nov 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result of the college basketball game will be used to determine the winning outcome. Traders will be able to see the final result and whether their predictions were accurate after the game concludes. This market provides a way to forecast the result of this contest and profit from accurate predictions.
Several signals could influence the price of this market before the game concludes. Any news regarding player injuries, changes in team lineups, or significant coaching adjustments could impact trader sentiment. Unexpected announcements about team performance or even weather conditions could also play a role. Furthermore, large trades on either Polymarket or Kalshi can create momentum and shift the odds, especially as the game draws closer and more information becomes available.