TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 25, 8:48 PM EST
Kalshi
These markets focus on predicting the point differential in the first quarter of a college football game between Northwestern and Indiana. Each market corresponds to a specific point spread threshold that must be exceeded by either team to determine the outcome.
All markets resolve based solely on points scored during the first quarter of play in the Northwestern vs Indiana college football game scheduled for September 25, 2026. A market resolves to 'Yes' if the winning team exceeds the specified point differential threshold outlined in the respective market rule. If the game is postponed but commences within 48 hours of the original scheduled start time, all open markets will resolve based on the official final result of that game. Should the game fail to start within the 48-hour window, all markets will resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific point spread thresholds listed.
Prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbook odds are typically set by professional oddsmakers, while this market is driven by the collective predictions of individual traders. It's common to see initial discrepancies between the two, as prediction markets can incorporate information and opinions more quickly and broadly. Over time, the odds on Kalshi may converge with sportsbook lines as more information becomes available and traders refine their assessments of the likely outcome of the first quarter.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the first quarter. The price of each contract reflects the probability of that spread occurring, as determined by supply and demand. Traders who believe Northwestern will cover the spread buy contracts, driving up the price, while those who believe Indiana will cover sell contracts, lowering the price. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly adapt to new information and changing sentiment regarding the Northwestern vs Indiana spread.
This market resolves around Sep 26, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the final point spread of the first quarter of the Northwestern vs Indiana football game will be used to determine which contracts pay out. Contracts predicting a spread closer to the actual result will have a higher payout value. The resolution will be based on official game statistics and verified against credible public sources, ensuring a transparent and accurate outcome for this market.
Several signals or events could significantly impact this market. Any news regarding key player injuries for either Northwestern or Indiana would likely cause movement, as would updates on weather conditions that could affect the game. Changes in public perception, perhaps driven by expert analysis or media coverage, could also influence trading activity. Furthermore, as the game approaches, any significant line movements in traditional sportsbooks could prompt traders on Kalshi to adjust their positions, leading to fluctuations in the price of the Northwestern vs Indiana spread.