TOTAL VOLUME:

$154.4b

24H VOL:

$290,393,159

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,944,100,805

420,493

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MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

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Kalshi:

63%

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New Mexico vs. San Jose State
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What is the result of New Mexico vs San Jose State?

Volume:
$156

New Mexico vs. San Jose State

 - Predict

New Mexico vs. San Jose State - Predict

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Resolved Oct 31, 2026

Closed: Oct 31, 7:00 PM EST

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New Mexico vs. San Jose State

View
100%
Yes 100¢No 0¢
—
$2,001
$156
N/A
N/A
N/A
Settled
Yes
Total markets: 1

Description

In the upcoming college football game between New Mexico and San Jose State, scheduled for October 31 at 4:00PM ET: This market will resolve to "New Mexico" if New Mexico win the game. This market will resolve to "San Jose State" if San Jose State win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.

Predict

In the upcoming college football game between New Mexico and San Jose State, scheduled for October 31 at 4:00PM ET: This market will resolve to "New Mexico" if New Mexico win the game. This market will resolve to "San Jose State" if San Jose State win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.

Frequently asked questions

On Predict, the dashboard for the New Mexico-San Jose State game tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of different outcomes changes over time, giving you a sense of where the crowd stands. Currently, the total volume for this market is $156, with $156 traded in the last 24 hours. This provides insight into how actively traders are engaging with this particular event.

Generally, prediction market odds often reflect a wisdom-of-the-crowd effect, potentially differing from those set by sportsbooks. Sportsbooks establish lines to balance action and ensure profit, while this market relies on traders’ individual assessments. If a significant discrepancy exists between the two, opportunities for arbitrage may arise. However, it’s important to remember that prediction market odds are driven by user predictions and can be influenced by various factors, including news and sentiment, leading to differences.

On Predict, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract fluctuates based on supply and demand, reflecting the collective belief of the traders. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more traders who believe an outcome will occur, the higher the price of its corresponding contract will rise, and vice versa. This dynamic pricing mechanism aims to accurately represent the probability of each outcome as perceived by the market participants.

This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the New Mexico-San Jose State game, as reported by official sources, will determine the winning outcome in this market. Traders who correctly predicted the result will be eligible for payout based on the final market prices at resolution. It’s important to monitor official sources for the confirmed game results to understand the resolution process.

Several signals could significantly impact this market. Any news regarding injuries to key players on either the New Mexico or San Jose State teams would likely cause shifts in the odds. Unexpected coaching changes, significant weather forecasts impacting game conditions, or even major shifts in public sentiment based on pre-game analysis could all influence trading activity. Furthermore, any late-breaking news related to team morale or internal conflicts could also move this market as traders react to new information.