TOTAL VOLUME:

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24H VOL:

$113,466,932

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2,388,728,490

OPEN INTEREST:

$1,423,222,590

402,751

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30,217

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2,632

PLATFORM COVERAGE:

5

Polymarket:

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San Antonio vs Chattanooga Red Wolves SC
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What is the result of San Antonio vs Chattanooga Red Wolves SC?

Volume:
$7,593

San Antonio

 - Kalshi

San Antonio - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 12, 2026

Closed: Jul 11, 11:00 PM EST

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

San Antonio

View
100%
Yes 100¢No 0¢
100¢
N/A
$4,128
N/A
N/A
$3,910
Settled
Yes
kalshi

Chattanooga Red Wolves SC

0%
Yes 0¢No 100¢
100¢
N/A
$2,944
N/A
N/A
$2,798
Settled
No
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Tie

0%
Yes 0¢No 100¢
100¢
N/A
$522
N/A
N/A
$520
Settled
No
Total markets: 3

Description

A professional USL Cup soccer match between San Antonio and Chattanooga Red Wolves SC scheduled for July 11, 2026. The outcome is determined by the result after 90 minutes of play plus stoppage time, excluding any extra time or penalty shootouts.

Kalshi

This event covers the San Antonio vs Chattanooga Red Wolves SC professional USL Cup soccer game scheduled for July 11, 2026, evaluated at the conclusion of 90 minutes plus stoppage time (excluding extra time or penalties). Resolution is based on the final score after regulation play: San Antonio victory resolves the San Antonio market to Yes, a Chattanooga Red Wolves SC victory resolves the Chattanooga market to Yes, and a tied result resolves the Tie market to Yes. If the game is cancelled or rescheduled more than two weeks from the original date, all markets will resolve to a fair price in accordance with standard rules.

Frequently asked questions

On Kalshi, the dashboard for the San Antonio vs Chattanooga soccer match displays real-time odds and price movements as traders buy and sell contracts tied to the match outcome. You can monitor the current implied probability of each result, review historical price charts, and track trading activity. The interface shows cumulative volume and recent trades, giving you a transparent view of how market participants are pricing the event. This live data helps you assess consensus sentiment and identify shifts in trader conviction as the match approaches.

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 like this one are driven by traders seeking to profit on accurate forecasts. Prediction markets typically aggregate dispersed information and can respond quickly to breaking news or shifting sentiment. However, sportsbook odds benefit from professional oddsmakers and sharp bettors, so neither venue consistently outpredicts the other. Comparing both can reveal where the broader market sees value.

On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks for contracts representing each possible outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each contract reflects the cumulative supply and demand at that moment, with the implied probability derived from the contract price. As new information emerges or trader sentiment shifts, prices adjust in real time. This continuous pricing model ensures liquidity and allows you to enter or exit positions at transparent, market-determined rates rather than fixed odds set by a centralized operator.

This market resolves around Jul 12, 2026, once the match concludes and the result is verifiable from credible public reporting. The outcome will reflect the final score and official match result as confirmed by relevant sports authorities and news sources. Until that point, prices will fluctuate based on team news, betting patterns, and trader expectations. Resolution is automatic once the event is complete and verified, ensuring all positions settle fairly and transparently.

Key catalysts include team roster updates, injury announcements, recent form and head-to-head records, and lineup confirmations closer to kickoff. Weather conditions at the venue can also influence match dynamics and shift trader expectations. Social media sentiment, expert analysis, and betting syndicate activity may trigger sharp price moves. Unexpected coaching changes or tactical shifts announced before the match could reshape perceived probabilities. As the match date approaches, each of these factors can cause meaningful repricing as new information reaches the market.