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2,388,728,490

OPEN INTEREST:

$1,416,970,024

400,720

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30,097

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2,633

PLATFORM COVERAGE:

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Toluca vs Pumas UNAM: Team Total
kalshi

What is the result of Toluca vs Pumas UNAM?

Volume:
$72,557

Pumas UNAM over 0.5 goals

 - Kalshi

Pumas UNAM over 0.5 goals - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jul 22, 2026

Closed: Jul 22, 12:30 AM EST

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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

Pumas UNAM over 0.5 goals

View
100%
Yes 100¢No 0¢
100¢
N/A
$10,232
N/A
N/A
$6,165
Settled
Yes
kalshi

Pumas UNAM over 1.5 goals

100%
Yes 100¢No 0¢
100¢
N/A
$7,548
N/A
N/A
$4,425
Settled
Yes
kalshi

Toluca over 0.5 goals

100%
Yes 100¢No 0¢
100¢
N/A
$5,051
N/A
N/A
$2,937
Settled
Yes
kalshi

Toluca over 1.5 goals

0%
Yes 0¢No 100¢
100¢
N/A
$32,603
N/A
N/A
$18,384
Settled
No
kalshi

Toluca over 2.5 goals

0%
Yes 0¢No 100¢
100¢
N/A
$13,315
N/A
N/A
$6,805
Settled
No
kalshi

Pumas UNAM over 2.5 goals

0%
Yes 0¢No 100¢
100¢
N/A
$3,808
N/A
N/A
$2,978
Settled
No
Total markets: 6

Description

This market focuses on individual team goal production for Toluca and Pumas UNAM across the full 90-minute match on July 21, 2026. Bettors predict whether each team will score more than 0.5, 1.5, or 2.5 goals by the final whistle.

Kalshi

Resolution is based on goals recorded by each team during the full match (90 minutes plus stoppage time, excluding extra time and penalties) of the Toluca vs Pumas UNAM Liga MX game scheduled for July 21, 2026. Own goals count toward the team awarded the goal. If the game is cancelled or rescheduled more than two weeks away, the market resolves to a fair price in accordance with the rules.

Frequently asked questions

On Kalshi, the Toluca vs Pumas team total market dashboard tracks real-time odds and price movements for this matchup's team total outcomes. The interface displays current market pricing, historical price charts, and 24-hour trading volume of $72,342 so traders can monitor how sentiment shifts as the event approaches. You can view the full order book, recent trades, and key support and resistance levels to understand where the market consensus stands on the likely team total result.

Prediction market odds reflect real-money trader conviction and often diverge from traditional analyst forecasts because markets incorporate live information and individual risk appetite. While sports analysts may publish preseason or weekly projections based on historical data and team form, this market aggregates the collective judgment of traders who have financial skin in the game. Markets tend to update faster than published forecasts when injuries, lineup changes, or other catalysts emerge, making them a useful cross-check against expert opinion.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares representing different team total outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The bid-ask spread reflects the current supply and demand for each outcome, and prices move in real time as new orders flow in. Traders can place limit or market orders to enter or exit positions, and the platform displays the implied probability for each outcome based on the current price.

This market resolves around Jul 22, 2026, once the Toluca vs Pumas match concludes and the final team total is verified against credible public sources. The outcome is determined by the actual combined goals or points scored by the two teams during regulation play, depending on the specific outcome definitions listed in the market terms. Traders should review the exact resolution criteria on the market page to confirm which statistics and time periods count toward settlement.

Key catalysts include team lineup announcements, injury reports to star players, recent form and head-to-head records, and weather conditions on match day. Betting market shifts from traditional sportsbooks can also influence prediction market prices as arbitrage traders react to line moves. Late-breaking news such as coaching changes, suspensions, or tactical adjustments in the days before kickoff often trigger sharp repricing as traders reassess the likely team total outcome.