TOTAL VOLUME:

$154.4b

24H VOL:

$235,918,089

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,884,820,873

413,109

Markets across

40,428

events

MATCHED EVENTS:

4,364

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Valparaiso vs San Diego: 1st Half Winner
kalshi

What is the result of Valparaiso vs San Diego?

Volume:
$8,762

San Diego

 - Kalshi

San Diego - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 7:51 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

San Diego

View
100%
Yes 100¢No 0¢
—
N/A
$7,862
N/A
N/A
$7,064
Settled
Yes
kalshi

Valparaiso

0%
Yes 0¢No 100¢
—
N/A
$473
N/A
N/A
$473
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$428
N/A
N/A
$428
Settled
No
Total markets: 3

Description

This market tracks which team will lead after the first half of a college football game between Valparaiso and San Diego. It focuses solely on the performance during the initial 30 minutes of play, ignoring the final outcome of the full game. The result depends entirely on who holds the advantage at that specific midpoint.

Kalshi

If San Diego wins the 1st half of the Valparaiso vs San Diego college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If Valparaiso wins the 1st half of the Valparaiso vs San Diego college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Valparaiso vs San Diego college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Valparaiso vs San Diego first half tracks the current price, price history, and 24-hour trading volume. Currently, volume is $8,762 with a total volume of $8,762. The dashboard provides a visual representation of how traders are pricing the probability of each team winning the first half. You can see how the market has moved over time and identify potential trends. This allows you to assess the collective prediction of the crowd and make informed decisions.

Typically, prediction market odds reflect a different set of information and incentives than those found at sportsbooks. Sportsbooks often incorporate a 'vig' or commission into their odds, while this market aims to represent the true probability of an event occurring as assessed by traders. While sportsbooks may initially set lines based on statistical models and expert opinions, this market evolves in real-time based on the collective wisdom of participants. Discrepancies can arise due to differing risk assessments and the influence of public sentiment, which can be quite strong in both arenas.

On Kalshi, this market is priced through a continuous double auction, meaning traders buy and sell contracts representing potential outcomes. The price of a contract reflects the probability of that outcome occurring. As more traders buy contracts for a particular team, the price increases, indicating a higher perceived probability of victory. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth and order book are visible on the dashboard, providing insight into the supply and demand for each outcome. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust probabilities accordingly.

This market resolves around Oct 17, 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 Valparaiso vs San Diego game will be declared the winner of this market. Official game statistics and results will be used to determine the outcome. The resolution process is designed to be objective and transparent, relying on publicly available data to ensure a fair and accurate settlement of all contracts.

Several factors could influence this market before resolution. Any news regarding injuries to key players on either the Valparaiso or San Diego teams would likely cause significant movement. Changes in weather conditions, especially if they favor one team’s playing style, could also impact the market. Furthermore, pre-game analysis from sports analysts and any shifts in public betting sentiment at sportsbooks could influence trading activity. Unexpected lineup changes or even a significant early performance by one team during the game could also lead to rapid price adjustments in this market.