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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San Jose St. vs UTEP
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What is the result of San Jose St. vs UTEP?

Volume:
$922,291

San Jose St.

 - Kalshi

San Jose St. - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 18, 2026

Closed: Oct 18, 12:19 AM 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 Jose St.

View
100%
28%
Yes 100¢No 0¢
—
N/A
$539,302
N/A
N/A
$335,845
Settled
Yes
kalshi

UTEP

0%
30%
Yes 0¢No 100¢
—
N/A
$382,988
N/A
N/A
$191,606
Settled
No
Total markets: 2

Description

Two college football teams compete in a match where the outcome determines the resolution of a market based on the winning team. The game's result will dictate whether specific conditions are met for market settlement.

Kalshi

The market resolves to Yes if either San Jose St. or UTEP wins the college football game scheduled for Oct 17, 2026. If the game is postponed but starts within 48 hours of the original time, the market stays open and resolves based on the final result. If the game is cancelled or does not start within 48 hours, the market resolves to a fair price.

Frequently asked questions

On Kalshi, the dashboard for the San Jose St vs UTEP game tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of different outcomes shifts over time as traders buy and sell contracts. Currently, the total volume for this market is $922,291, with $909,784 traded in the last 24 hours. This provides a real-time view of where the crowd believes the outcome of the game is headed, offering a dynamic alternative to traditional sports betting odds.

Prediction market odds often differ from those found at sportsbooks, reflecting the wisdom of the crowd rather than a bookmaker’s assessment. Sportsbooks set lines to balance their risk and ensure profit, while this market allows participants to freely express their beliefs about the outcome. If a significant number of people believe a particular result is more likely than sportsbooks suggest, the price will move accordingly. This can create opportunities for value betting, where the market price offers better odds than traditional sportsbooks. It's important to note that both represent probabilities, but are derived through different mechanisms.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes of the San Jose St vs UTEP game. The price of each contract reflects the market’s collective belief about the probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the prices adjust to reflect new information and changing sentiment. This dynamic pricing mechanism allows for a highly liquid and efficient market, providing a real-time assessment of the game's potential results based on the aggregated predictions of its participants.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the San Jose St vs UTEP game, as reported by a recognized sports data source. Traders who correctly predicted the outcome will receive a payout based on the final contract price at resolution. The platform will verify the result and distribute funds accordingly, ensuring a transparent and reliable process for all participants in this market.

Several signals or events could significantly move this market before Oct 18, 2026. Key injuries to star players on either the San Jose St or UTEP team would likely cause shifts in the odds. Unexpected news regarding team strategy, coaching changes, or even weather conditions could also influence trader sentiment. Public perception, driven by media coverage and expert analysis, can also play a role. Finally, large volume trades from informed participants could indicate new information or a change in outlook, leading to price adjustments in this market.