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$1,410,176,180

399,592

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30,097

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MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

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39%

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Northwestern vs Indiana: 2nd Quarter Spread
kalshi

What is the result of Northwestern vs Indiana?

Volume:
$57,601

Indiana wins 2Q by over 7.5 points

 - Kalshi

Indiana wins 2Q by over 7.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 26, 2026

Closed: Sep 25, 9:36 PM EST

kalshi

Kalshi

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Indiana wins 2Q by over 7.5 points

View
100%
Yes 100¢No 0¢
100¢
N/A
$19,911
N/A
N/A
$14,912
Settled
Yes
kalshi

Indiana wins 2Q by over 6.5 points

100%
Yes 100¢No 0¢
100¢
N/A
$13,733
N/A
N/A
$11,776
Settled
Yes
kalshi

Indiana wins 2Q by over 2.5 points

100%
Yes 100¢No 0¢
100¢
N/A
$6,406
N/A
N/A
$6,214
Settled
Yes
kalshi

Indiana wins 2Q by over 3.5 points

100%
Yes 100¢No 0¢
100¢
N/A
$2,199
N/A
N/A
$1,664
Settled
Yes
kalshi

Indiana wins 2Q by over 10.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$7,876
N/A
N/A
$5,614
Settled
No
kalshi

Indiana wins 2Q by over 19.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$1,674
N/A
N/A
$1,646
Settled
No
kalshi

Northwestern wins 2Q by over 2.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$1,279
N/A
N/A
$1,279
Settled
No
kalshi

Indiana wins 2Q by over 23.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$1,100
N/A
N/A
$1,100
Settled
No
kalshi

Northwestern wins 2Q by over 6.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$1,062
N/A
N/A
$1,062
Settled
No
kalshi

Indiana wins 2Q by over 13.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$885
N/A
N/A
$753
Settled
No
kalshi

Northwestern wins 2Q by over 3.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$811
N/A
N/A
$811
Settled
No
kalshi

Northwestern wins 2Q by over 7.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$300
N/A
N/A
$300
Settled
No
kalshi

Northwestern wins 2Q by over 10.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$300
N/A
N/A
$300
Settled
No
kalshi

Indiana wins 2Q by over 16.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$65
N/A
N/A
$65
Settled
No
Total markets: 14

Description

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.

Kalshi

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.

Frequently asked questions

On Kalshi, the dashboard for the Northwestern vs Indiana spread tracks the current price of contracts representing different point spreads for the second quarter of the game. You’ll find a price history chart showing how the spread has fluctuated over time, as well as the 24-hour trading volume, currently at $50,908. The total volume traded on this market is $57,601. This allows you to see how confidence in either team winning—or covering—the spread is evolving as game day approaches. The dashboard provides a real-time view of where traders are placing their 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.