TOTAL VOLUME:

$154.1b

24H VOL:

$185,665,189

24H TRANSACTIONS:

2,983,476,643

OPEN INTEREST:

$1,833,875,329

407,365

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40,470

events

MATCHED EVENTS:

4,365

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

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Miami (OH) vs UMass: 1st Half Winner
kalshi

What is the result of Miami (OH) vs UMass?

Volume:
$10,103

Miami (OH) wins 1st Half

 - Kalshi

Miami (OH) wins 1st Half - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 3:36 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

Miami (OH) wins 1st Half

View
100%
51%
Yes 100¢No 0¢
—
N/A
$6,731
N/A
N/A
$6,431
Settled
Yes
kalshi

UMass wins 1st Half

0%
Yes 0¢No 100¢
—
N/A
$2,489
N/A
N/A
$2,236
Settled
No
kalshi

Tie 1st Half

0%
Yes 0¢No 100¢
—
N/A
$884
N/A
N/A
$799
Settled
No
Total markets: 3

Description

This market tracks the outcome of the first half of a college football game between Miami (OH) and UMass. It resolves based on which team leads at halftime or if the teams are tied. The result depends solely on the points scored during the first half of play.

Kalshi

If UMass wins the 1st half of the Miami (OH) vs UMass college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If Miami (OH) wins the 1st half of the Miami (OH) vs UMass college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Miami (OH) vs UMass college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Miami vs UMass 1st half market 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’ll also find the 24-hour trading volume, currently at $9,229, and the total volume traded to date, which is $10,103. This allows you to see how much activity there is in this market and understand where traders are placing their bets. The dashboard provides a real-time view of market sentiment as it evolves.

Generally, prediction market odds tend to reflect the wisdom of the crowd, often incorporating information and analysis from a wider range of sources than traditional sportsbooks. While sportsbooks set initial lines based on their own models and expert opinions, this market allows anyone to trade based on their own insights. As a result, you may see differences between the implied probabilities in this market and those offered by sportsbooks, especially as new information becomes available and the event approaches. These differences can sometimes present opportunities for arbitrage.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their belief about the outcome of the first half. The price of these contracts fluctuates based on supply and demand, effectively creating a real-time probability assessment. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more traders believe a particular team will win, the higher the price of its contract will rise, and vice versa. This dynamic pricing mechanism allows the market to quickly adapt to new information and reflect the collective intelligence of the participants.

This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the market will settle based on which team is leading at the end of the first half of the Miami vs UMass game. The official game results will be used to determine the winner, and the contracts will be paid out accordingly to those who correctly predicted the first-half victor. No further information is available regarding the exact resolution process.

Several factors could influence the price movement in this market. Any news regarding injuries to key players on either the Miami or UMass teams would likely have a significant impact. Changes in weather forecasts, particularly if they are expected to affect playing conditions, could also shift the odds. Additionally, late-breaking news about team strategies or coaching decisions, or even significant shifts in public sentiment, could all contribute to price fluctuations in this market as traders adjust their positions based on new information.