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Tigres vs San Luis: Spread
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What is the result of Tigres vs San Luis?

Volume:
$155,931

Tigres wins by more than 1.5 goals

 - Kalshi

Tigres wins by more than 1.5 goals - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 26, 2026

Closed: Jul 26, 1:12 AM EST

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

Tigres wins by more than 1.5 goals

View
0%
Yes 0¢No 100¢
100¢
N/A
$97,393
N/A
N/A
$40,566
Settled
No
kalshi

Tigres wins by more than 2.5 goals

0%
Yes 0¢No 100¢
100¢
N/A
$24,460
N/A
N/A
$13,702
Settled
No
kalshi

San Luis wins by more than 2.5 goals

0%
Yes 0¢No 100¢
100¢
N/A
$16,051
N/A
N/A
$15,605
Settled
No
kalshi

San Luis wins by more than 1.5 goals

0%
Yes 0¢No 100¢
100¢
N/A
$15,756
N/A
N/A
$13,531
Settled
No
kalshi

Tigres wins by more than 3.5 goals

0%
Yes 0¢No 100¢
100¢
N/A
$2,272
N/A
N/A
$2,161
Settled
No
Total markets: 5

Description

This Liga MX soccer match between Tigres and San Luis on July 24, 2026 will be evaluated for the margin of victory. Bettors can wager on whether one team will win by a significant margin.

Kalshi

Resolution is based on the goal differential in the Tigres vs San Luis Liga MX match scheduled for July 24, 2026, measured after 90 minutes of play plus stoppage time (excluding extra time or penalties). Four separate markets assess whether Tigres wins by more than 1.5 or 2.5 goals, or whether San Luis wins by more than 1.5 or 2.5 goals respectively. Each market resolves to Yes if the specified team achieves the required margin of victory, and No otherwise. The official final score as recorded by Liga MX determines the outcome.

Frequently asked questions

On Kalshi, the Tigres vs San Luis spread market dashboard tracks real-time odds and historical price movements for this matchup's point-spread contract. The interface displays current market pricing, 24-hour trading volume of $152,728, and cumulative volume of $155,931 to help traders assess liquidity and consensus sentiment. You can monitor how the spread shifts as new information emerges, view order-book depth, and compare intraday price action against earlier levels. This dashboard serves as your central hub for understanding how prediction market participants are pricing the expected margin of victory.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and manage risk, while prediction markets aggregate trader beliefs through real-money contracts. On Kalshi, this market's odds emerge from continuous trading rather than a bookmaker's margin. Comparing the two can reveal where professional bettors and casual traders disagree on the likely spread outcome. Many traders monitor both venues to identify mispricings, though prediction markets tend to adjust faster to breaking news and public information.

On Kalshi, this market is priced through an order-book mechanism where traders submit bids and offers on the spread outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The platform matches buy and sell orders in real time, and the last-traded price reflects the consensus value at any moment. Traders can place limit orders to target specific prices or use market orders for immediate execution. As new information surfaces—team injuries, lineup changes, or betting action—the order book updates dynamically, and prices shift to reflect evolving expectations about the final margin.

This market resolves around Jul 26, 2026, once the Tigres versus San Luis match concludes and the final score is verified. The outcome is determined by the actual point spread between the two teams' final scores, confirmed against credible public sources. Traders holding positions will see their contracts settle based on whether the final margin matches or differs from the spread price at which they traded. Until the event occurs and the result is official, this market remains open for trading and repricing.

Key catalysts include team roster announcements, injury reports, and official lineup confirmations closer to kickoff. Unexpected trades, coaching changes, or public statements from players can shift trader sentiment rapidly. Weather forecasts, venue conditions, and recent team performance trends also influence spread expectations. As the match date approaches, betting action from professional syndicates and sharp money often triggers sharp repricing. Social media momentum, expert analysis, and any late-breaking news about player availability will likely drive volatility in this market through Jul 26, 2026.