TOTAL VOLUME:

$154.4b

24H VOL:

$245,801,863

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,902,097,102

417,059

Markets across

40,178

events

MATCHED EVENTS:

4,415

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
Dashboards
Tour
All
Sports
Northwestern St. vs Lamar: 1st Half Winner
kalshi

What is the result of Northwestern St. vs Lamar?

Volume:
$3,668

Lamar wins 1st Half

 - Kalshi

Lamar wins 1st Half - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 4, 2026

Closed: Oct 3, 10:34 PM EST

kalshi

Kalshi

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

Lamar wins 1st Half

View
100%
Yes 100¢No 0¢
—
N/A
$1,490
N/A
N/A
$1,490
Settled
Yes
kalshi

Tie 1st Half

0%
Yes 0¢No 100¢
—
N/A
$1,099
N/A
N/A
$869
Settled
No
kalshi

Northwestern St. wins 1st Half

0%
Yes 0¢No 100¢
—
N/A
$1,079
N/A
N/A
$807
Settled
No
Total markets: 3

Description

This market tracks the outcome of the first half of a college football game between Northwestern State and Lamar University. Participants speculate on which team will lead at halftime or if the half will end in a tie. The result depends solely on the points scored during the first half of the contest.

Kalshi

If Lamar wins the 1st half of the Northwestern St. vs Lamar college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If Northwestern St. wins the 1st half of the Northwestern St. vs Lamar college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Northwestern St. vs Lamar college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Northwestern St. vs Lamar 1st half market displays the current price of each outcome – which team will win the first half. You can view the price history to see how the market has moved over time, as well as the 24-hour trading volume, which is currently $3,668. The total volume traded on this market is $3,668. This allows you to gauge market interest and potential shifts in sentiment surrounding the game’s first half.

Generally, prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbook odds. Sportsbooks set lines based on their own models and risk assessment, while this market is driven by the collective predictions of individual traders. Discrepancies can arise due to differing information, biases, or simply the dynamics of supply and demand within the prediction market. It’s common to see this market incorporate information and adjust prices faster than sportsbooks in response to breaking news or changing sentiment.

On Kalshi, this market is priced through a continuous double auction, meaning traders buy and sell contracts representing each possible outcome – in this case, Northwestern St. winning the first half or Lamar winning the first half. The price of each contract reflects the market’s probability of that outcome occurring. As more traders buy a contract, its price increases, and vice versa. 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 incorporate new information and adjust probabilities in real-time, based on the collective judgment of participants.

This market resolves around Oct 4, 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 Northwestern St. vs Lamar game. The official game results, as reported by a trusted sports data source, will be used to determine the winning outcome. Traders holding contracts on the winning team will receive a payout, while those holding contracts on the losing team will not.

Several factors could influence the price movement of this market. Any news regarding injuries to key players on either team, changes in coaching strategies, or even weather conditions could shift trader sentiment. Unexpected pre-game announcements, such as a starting lineup change, could also cause significant price fluctuations. Furthermore, large volume trades from informed participants could indicate new information or a change in outlook, potentially driving the market in a particular direction. Public perception and analysis from sports commentators could also play a role.