TOTAL VOLUME:

$154.8b

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$245,601,049

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2,985,204,718

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$1,897,405,322

408,349

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4,443

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

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63%

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Houston Dynamo vs. Minnesota United FC
predict
polymarket

What is the result of Houston Dynamo vs. Minnesota United FC?

Volume:
$37,161

Draw (Houston Dynamo vs. Minnesota United FC)

all

2 markets

Polymarket

Predict

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 10:52 PM EST

polymarket

Polymarket

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

Draw (Houston Dynamo vs. Minnesota United FC)

View
100%
Yes 100¢No 0¢
—
N/A
$2,108
N/A
N/A
N/A
Settled
Yes
predict

Draw

View
100%
Yes 100¢No 0¢
—
$10,856
$1,494
N/A
N/A
N/A
Settled
Yes
polymarket

Houston Dynamo

View
0%
45%
Yes 0¢No 100¢
—
N/A
$20,687
N/A
N/A
N/A
Settled
No
predict

HOU

View
0%
Yes 0¢No 100¢
—
$107
$6,260
N/A
N/A
N/A
Settled
No
polymarket

Minnesota United FC

View
0%
29%
Yes 0¢No 100¢
—
N/A
$3,357
N/A
N/A
N/A
Settled
No
predict

MIN

View
0%
Yes 0¢No 100¢
—
$107
$3,255
N/A
N/A
N/A
Settled
No
Total markets: 6

Description

This group covers markets on the outcome of a Major League Soccer (MLS) match between the Houston Dynamo and Minnesota United FC scheduled for October 24, 2026. Markets include predicting a win for either team or a draw.

PredictionHero - Resolution Divergence Alerts (RDA)

Unified Resolution Criteria (Consistent across platforms)

Both platforms utilize the same resolution source hierarchy and define outcomes identically for win/draw markets, including handling of postponements and cancellations.Primary resolution logic: Official MLS statistics, with fallback to Flashscore, Sofascore, and credible reporting.

Core resolution logic:

  • Resolution is based on the result within the first 90 minutes of regular play plus stoppage time.
  • If the game is postponed, markets remain open until completion.
  • If the game is canceled, win markets resolve to 'No' and draw markets resolve to 'Yes'.

Edge cases & clarifications:

  • Data Availability: If official MLS statistics are unavailable within 2 hours of the match's conclusion, Flashscore data will be used. If Flashscore data is unavailable, Sofascore data will be used. If neither is available, a consensus of credible reporting will be used.
  • Score Revisions: Revisions to officially declared final scores made *after* market resolution will not be accounted for in determining the outcome.
Timing: Resolution will occur within 24 hours of the match's conclusion, or when official data becomes available, whichever is later. If no acceptable data is available within 24 hours, markets will resolve 50-50 (or to 'Draw' where applicable).Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.

Polymarket

This event is for the upcoming MLS game, scheduled for Saturday, October 24, 2026 between Houston Dynamo and Minnesota United FC.

Predict

This event is for the upcoming MLS game, scheduled for Saturday, October 24, 2026 between Houston Dynamo and Minnesota United FC.

Frequently asked questions

Polymarket and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Prices on Polymarket and Predict for the Dynamo vs. United match can diverge due to several factors. Each platform attracts a different user base with varying expertise and information. Polymarket might have more participants closely following Major League Soccer, while Predict could have a broader audience. Furthermore, the liquidity and trading volume on each platform influence price discovery; lower volume can lead to greater price volatility. Different fee structures and platform-specific rules can also contribute to these discrepancies, even when tracking the same underlying event.