TOTAL VOLUME:

$134.1b

24H VOL:

$133,388,117

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,436,095,462

405,232

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30,526

events

MATCHED EVENTS:

2,693

PLATFORM COVERAGE:

5

Polymarket:

39%

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North Dakota vs Indiana St.: 1st Half Winner
kalshi

What is the result of North Dakota vs Indiana St.?

Volume:
$4,273

North Dakota wins 1st Half

 - Kalshi

North Dakota wins 1st Half - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 26, 2026

Closed: Sep 26, 5:52 PM EST

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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

North Dakota wins 1st Half

View
100%
20%
Yes 100¢No 0¢
100¢
N/A
$2,653
N/A
N/A
$2,391
Settled
Yes
kalshi

Tie 1st Half

0%
1%
Yes 0¢No 100¢
100¢
N/A
$1,164
N/A
N/A
$1,064
Settled
No
kalshi

Indiana St. wins 1st Half

0%
29%
Yes 0¢No 100¢
100¢
N/A
$457
N/A
N/A
$456
Settled
No
Total markets: 3

Description

This market tracks the outcome of the first half of a college football game between North Dakota and Indiana State, focusing solely on which team leads at halftime. It reflects the competitive performance of both teams during the initial 30 minutes of play. The result depends on the points scored by each team in that specific segment of the game.

Kalshi

If Indiana St. wins the 1st half of the North Dakota vs Indiana St. college football game originally scheduled for Sep 26, 2026, then the market resolves to Yes. If North Dakota wins the 1st half of the North Dakota vs Indiana St. college football game originally scheduled for Sep 26, 2026, then the market resolves to Yes. If neither team wins the 1st half of the North Dakota vs Indiana St. college football game originally scheduled for Sep 26, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the North Dakota vs Indiana State game tracks the current odds for each team to win the first half, along with a price history showing how those odds have changed over time. You can also see the 24-hour trading volume, which currently stands at $4,252, and the total volume traded to date, which is $4,273. This provides a real-time view of how PredictionHero users are assessing the likelihood of each outcome in this first-half matchup. The dashboard allows you to monitor shifts in sentiment and trading activity as the game approaches.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own analysis and aim to balance action on both sides, incorporating a profit margin. This market, however, is driven by individuals trading based on their own information and beliefs. If a significant number of people believe one team is more likely to win, the odds will shift accordingly, potentially offering a different perspective than what’s found at sportsbooks. It’s common to see discrepancies, especially as new information emerges.

On Kalshi, this market is priced through a continuous order book, meaning traders are constantly buying and selling contracts representing each possible outcome. The price of a contract reflects the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more people buy contracts for a particular team, the price increases, and the implied probability of that team winning rises. Conversely, selling contracts lowers the price and decreases the implied probability. This dynamic process creates a real-time assessment of the likely first-half winner.

This market resolves around Sep 26, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the result will be determined by which team is leading at the end of the first half of the North Dakota vs Indiana State game. The official score at halftime, as reported by a trusted sports data source, will be used to determine the winning team for the purposes of settling this market. Any potential overtime periods are not considered for first-half resolution.

Several factors could influence trading activity and shift the odds in this market. Any news regarding injuries to key players on either the North Dakota or Indiana State teams would likely have a significant impact. Changes in weather conditions, particularly if they favor one team’s playing style, could also move the market. Additionally, late-breaking news about team morale, coaching decisions, or even pre-game analysis from respected sports commentators could all contribute to shifts in sentiment and trading volume. Public perception, as reflected in social media and sports news, can also play a role.