TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 26, 5:52 PM EST
Kalshi
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.
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.
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.