TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 25, 9:36 PM EST
Kalshi
This market tracks the outcome of the first half in an upcoming college football game between Northwestern and Indiana. It focuses solely on which team leads at halftime, without considering the final game result. The market accounts for potential game postponements within a defined window.
If Indiana wins the 1st half of the Northwestern vs Indiana college football game originally scheduled for Sep 25, 2026, then the market resolves to Yes. If Northwestern wins the 1st half of the Northwestern vs Indiana college football game originally scheduled for Sep 25, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Northwestern vs Indiana college football game originally scheduled for Sep 25, 2026, then the market resolves to Yes.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often proving more accurate than traditional sportsbook lines. Sportsbooks set initial odds based on their own analysis, aiming to balance action on both sides, while this market aggregates the beliefs of many individual traders. Discrepancies can arise due to differing information, biases, or simply the dynamics of each market. If you observe a significant difference between the odds here and those offered by sportsbooks, it could signal an opportunity for value betting, depending on your own assessment of the event’s likely outcome.
On Kalshi, this market is priced through a continuous auction mechanism where traders buy and sell contracts representing their belief about the probability of each outcome. The price of a contract directly corresponds to the implied probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and express their views, the prices adjust, reflecting the collective forecast. The market’s depth—the volume of contracts available at different price levels—indicates the level of confidence traders have in their predictions. Currently, the market is driven by individual traders’ assessments of the game’s potential.
This market resolves around Sep 26, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on which team is leading at the end of the first half of the Northwestern vs Indiana game. The official result will be sourced from established sports data providers, ensuring an objective and accurate determination of the winner. Traders will then be paid out based on their positions in the market, reflecting the accuracy of their predictions. This market’s resolution is independent of any external factors beyond the game’s official first-half result.
Several factors could influence the Northwestern vs Indiana 1st half market before the game concludes. Late-breaking news regarding key player injuries or suspensions for either team would likely cause significant shifts in the odds. Changes in weather forecasts, particularly if they impact playing conditions, could also play a role. Additionally, any significant public statements from coaches or players that reveal strategic intentions or confidence levels might move the market. Finally, large trading volume from informed participants could also indicate new information or a shift in sentiment, causing the probabilities to adjust accordingly.