TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 25, 9:36 PM EST
Kalshi
These markets focus on predicting the point differential between Northwestern and Indiana specifically during the second quarter of their college football game. Each outcome represents a different threshold for how many points the winning team must score more than the opponent to settle the market.
All markets resolve based solely on points scored during the second quarter of play in the Northwestern vs Indiana college football game scheduled for September 25, 2026. If Indiana wins the second quarter by exceeding the specified point threshold—ranging from 2.5 to 23.5 points—the corresponding 'Yes' outcome settles. Conversely, if Northwestern wins the second quarter by exceeding the specified threshold (2.5 to 10.5 points), that market resolves to 'Yes'. If the game is postponed but commences within 48 hours of the original kickoff time, all markets remain active and resolve according to the official second-quarter result. Should the game fail to start within this 48-hour window, all markets settle at a fair price, reflecting the uncertainty and preventing unresolved bets.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often incorporating information and analysis beyond what’s immediately available to sportsbooks. While sportsbooks set initial lines based on statistical models and expert opinions, this market allows anyone to trade on their beliefs, potentially leading to odds that more accurately predict the actual outcome. It’s common to see prediction markets move faster than sportsbooks in response to new information, such as injuries or weather reports, as traders quickly adjust their positions. However, sportsbook odds remain a useful benchmark for comparison.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different spreads. The price of each contract reflects the probability of that spread occurring in the second quarter of the Northwestern vs Indiana game. As more traders buy contracts for a particular spread, the price increases, indicating growing confidence in that outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to provide accurate predictions, as they profit if their contracts are settled in their favor. This dynamic pricing mechanism aims to create a market that accurately reflects the collective intelligence of participants.
This market resolves around Sep 26, 2026, with the outcome confirmed once the final second-quarter spread of the Northwestern vs Indiana game is verifiable from credible public reporting. The resolution will be based on the official result reported by sports data providers. The specific spread that is closest to the actual result at the end of the second quarter will determine which contracts settle at 100, while all others will settle to 0. Traders holding winning contracts will receive a payout based on the contract’s price at the time of resolution.
Several factors could significantly influence the Northwestern vs Indiana spread between now and game time. Any news regarding key player injuries on either team would likely cause a shift in the market, as would changes in weather forecasts. Unexpected coaching decisions or strategic adjustments announced before the game could also impact trader sentiment. Furthermore, public perception and betting trends—even outside of Kalshi—can influence the market as traders react to new information and adjust their positions accordingly. Major upsets in other games involving these teams could also indirectly affect this market.