TOTAL VOLUME:

$134.1b

24H VOL:

$141,541,542

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,440,096,988

406,065

Markets across

30,522

events

MATCHED EVENTS:

2,692

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Montana vs UC Davis: 1st Half Winner
kalshi

Who will win Montana vs UC Davis 1st Half?

Volume:
$3,902

Montana wins 1st Half

 - Kalshi

Montana wins 1st Half - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 27, 2026

Closed: Sep 26, 11:40 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

Montana wins 1st Half

View
100%
45%
Yes 100¢No 0¢
100¢
N/A
$2,822
N/A
N/A
$2,818
Settled
Yes
kalshi

UC Davis wins 1st Half

0%
Yes 0¢No 100¢
100¢
N/A
$572
N/A
N/A
$547
Settled
No
kalshi

Tie 1st Half

0%
Yes 0¢No 100¢
100¢
N/A
$508
N/A
N/A
$508
Settled
No
Total markets: 3

Description

A competitive college football encounter provides an opportunity to forecast the leading team through the first half's conclusion. The result is determined solely by the points accumulated before the game reaches the 30-minute mark of the first half.

Kalshi

The market resolves based on which team leads at the end of the first half of the specified college football game. If the game is postponed but starts within 48 hours of the original time, the market remains open and resolves according to the official result. If the game does not start within 48 hours, the market resolves to a fair price. Points scored only during the first half count toward the outcome.

Frequently asked questions

On Kalshi, the dashboard for the Montana vs UC Davis 1st half market displays the current price of a 'yes' outcome, reflecting the probability of Montana winning the first half. It also shows the 24-hour trading volume, which is currently $3,857, and the total overall volume traded in this market, standing at $3,902. You can view a price history chart to see how the market has moved over time, giving insight into trader sentiment. This allows you to track how predictions are evolving as new information becomes available.

Typically, prediction market odds offer a different perspective than those found at sportsbooks. Sportsbooks often include a 'vig' or commission, impacting the implied probability. This market, driven by the collective wisdom of traders, aims to reflect the true probability of Montana winning the first half. While sportsbooks may initially set lines based on power rankings and expert analysis, this market dynamically adjusts as information and opinions change, potentially offering a more accurate assessment of the likely outcome. It's common to see divergences between the two, especially as game day approaches.

On Kalshi, this market is priced through a continuous double auction. Traders buy and sell contracts representing a 'yes' outcome – Montana winning the first half. The price of these contracts directly reflects the market’s implied probability of that outcome. As more traders buy 'yes' contracts, the price increases, indicating growing confidence in Montana. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market’s price fluctuates based on supply and demand, driven by information, analysis, and overall sentiment surrounding the game. This creates a dynamic pricing mechanism that attempts to converge on the true probability.

This market resolves around Sep 27, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on which team is leading at the end of the first half of the Montana vs UC Davis game. The official game results, as reported by a trusted sports data source, will determine the winning side. The platform will then finalize the market and distribute payouts to traders who correctly predicted the first half winner.

Several factors could influence this market before resolution. Any news regarding key player injuries for either Montana or UC Davis would likely cause significant movement. Changes in weather forecasts, particularly if they impact playing conditions, could also shift the odds. Unexpected news about team morale or coaching decisions could also play a role. Finally, as the game approaches, any late-breaking analysis from sports commentators or updated statistical projections could influence trader behavior and move the market price.