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LDU Quito vs Libertad Loja
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What is the result of LDU Quito vs Libertad Loja?

Volume:
$722,902

Tie

 - Kalshi

Tie - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jul 12, 2026

Closed: Jul 12, 3:01 PM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Tie

View
100%
Yes 100¢No 0¢
100¢
N/A
$251,148
N/A
N/A
$143,099
Settled
Yes
kalshi

Libertad Loja

0%
Yes 0¢No 100¢
100¢
N/A
$313,029
N/A
N/A
$164,040
Settled
No
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LDU Quito

0%
Yes 0¢No 100¢
100¢
N/A
$158,724
N/A
N/A
$94,564
Settled
No
Total markets: 3

Description

This market covers the professional Ecuador LigaPro soccer match between LDU Quito and Libertad Loja scheduled for July 12, 2026. Resolution is based on the final result after 90 minutes plus stoppage time, excluding extra time or penalties.

Kalshi

Resolution is determined by the outcome of the professional Ecuador LigaPro soccer game originally scheduled for July 12, 2026, evaluated after 90 minutes plus stoppage time (excluding extra time or penalties). Three outcomes are possible: an LDU Quito victory, a Libertad Loja victory, or a tie. If the game ends in a tie, the designated Tie market resolves to Yes. Should the game be cancelled or rescheduled to more than two weeks away, the market resolves to a fair price in accordance with the rules.

Frequently asked questions

On Kalshi, the dashboard for the LDU Quito vs Libertad Loja match displays real-time odds and price movements as traders buy and sell shares tied to the outcome. You can monitor the current probability implied by the market, track historical price data, and observe 24-hour trading volume to gauge liquidity and interest. The interface updates continuously, allowing you to see how sentiment shifts as new information emerges. This transparency helps traders make informed decisions based on live market signals rather than static preseason estimates.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets aggregate the beliefs of traders risking real capital on outcomes. This market may show higher or lower implied probabilities than traditional sports betting sites, depending on whether informed traders see value that bookmakers have missed. Comparing the two can reveal where consensus differs and highlight potential analytical edges.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares representing each outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current implied probability reflects the last executed trade price, and spreads between buy and sell orders indicate how confident the market is in a particular result. As new information surfaces or trader conviction shifts, prices adjust in real time. This dynamic pricing ensures the market stays responsive to changing conditions leading up to the match.

This market resolves around Jul 12, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning shares will be determined by the final result of the match—whether LDU Quito, Libertad Loja, or neither emerges victorious. Traders holding shares in the correct outcome receive their payout, while incorrect positions expire worthless. Resolution timing may shift slightly if the match is postponed, but the platform will announce any changes in advance.

Key injury announcements, team lineup changes, or recent form updates can trigger sharp price swings in this market. Unexpected managerial decisions, weather conditions affecting travel, or last-minute tactical shifts may also influence trader positioning. Social media sentiment, expert analysis, and betting syndicate activity can amplify moves. As the match date approaches, any official postponement or venue change would reset expectations. Traders monitor these catalysts closely to identify mispricings and adjust their positions accordingly.