TOTAL VOLUME:

$154.5b

24H VOL:

$271,200,656

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,922,627,141

420,368

Markets across

40,352

events

MATCHED EVENTS:

4,484

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Morehead St. vs Dayton: 1st Half Winner
kalshi

What is the result of Morehead St. vs Dayton?

Volume:
$8,466

Tie 1st Half

 - Kalshi

Tie 1st Half - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 3:42 PM EST

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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

Tie 1st Half

View
100%
Yes 100¢No 0¢
—
N/A
$5,048
N/A
N/A
$5,036
Settled
Yes
kalshi

Morehead St. wins 1st Half

0%
Yes 0¢No 100¢
—
N/A
$2,089
N/A
N/A
$2,071
Settled
No
kalshi

Dayton wins 1st Half

0%
69%
Yes 0¢No 100¢
—
N/A
$1,329
N/A
N/A
$1,325
Settled
No
Total markets: 3

Description

This market tracks the outcome of the first half of a college football game between Morehead State and Dayton. It focuses solely on which team leads at halftime, or if the half ends in a tie, without considering the full game result.

Kalshi

If Dayton wins the 1st half of the Morehead St. vs Dayton college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If Morehead St. wins the 1st half of the Morehead St. vs Dayton college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Morehead St. vs Dayton college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Morehead St. vs Dayton 1st half market provides real-time data on the probabilities of each team winning the first half. You’ll find a continuously updating price representing the implied probability of each outcome, along with a historical price chart showing how sentiment has shifted over time. The dashboard also displays current volume of $8,466 and 24-hour volume of $8,365, indicating how much trading activity is occurring. This allows you to gauge market interest and potential shifts in expectations.

Often, prediction market odds reflect the wisdom of the crowd and can differ from those initially set by sportsbooks. Sportsbooks establish lines based on their own models and aim to balance action on both sides, while this market aggregates the beliefs of many individual traders. If a significant number of traders believe a sportsbook’s odds are inaccurate, they can drive the price on Kalshi in a different direction. This can lead to prediction market odds being more accurate, especially as the event approaches and more information becomes available. It’s a fascinating comparison of different forecasting approaches.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing potential outcomes. The price of each contract fluctuates based on supply and demand, effectively representing the market’s collective probability assessment. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to express their true beliefs, as profitable trading requires accurate predictions. The more traders who believe a particular team will win the first half, the higher the price of that outcome's contract will climb, and vice versa. This dynamic pricing mechanism aims to reflect the most up-to-date information available.

This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the first half of the Morehead St. vs Dayton game will be declared the winner of this market. The resolution will be based on the official game statistics and results, as reported by a trusted sports data source. Traders will be able to view the resolution details on Kalshi once the outcome is officially determined and verified.

Several factors could influence the price of this market before resolution. Any news regarding player injuries, changes in team lineups, or coaching strategies could shift expectations. Unexpected weather conditions during the game could also play a role. Furthermore, significant betting activity—a large influx of traders taking a position on one team—can cause the price to move rapidly. Even public sentiment, reflected in social media or expert analysis, can sometimes influence trading behavior and impact the price on Kalshi.