1
Total meetings
Houston Dynamo vs St. Louis City Corner Prediction
Updated
Kickoff: · Shell Energy Stadium
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Team comparison: corner stats
HOU
Houston Dynamo
VS
St. Louis City ST.
4.4
Corners for, per match
3.7
3.9
Corners against Lower is better
5.2
8.3
Total match corners
8.9
4.3
First half corners
4.3
1.3
Avg goals for
1.9
40%
Over 2.5 goals Percentage
90%
Leader in row
Follower
Head to head: last 1 meeting
6.0
Avg corners
0 / 0 / 1
Home / Draw / Away
- 23 Aug 2026 St. Louis City 2-1 Houston Dynamo · Major League Soccer 2-1 6 corners
More Major League Soccer picks & predictions
The match at a glance
- Match: Houston Dynamo vs St. Louis City
- Competition: Major League Soccer
- Date and kickoff: Sunday 8 November 2026, 00:00 UTC
- Venue: Shell Energy Stadium
- Houston Dynamo average: 4.4 corners for, 3.9 against per match
- St. Louis City average: 3.7 corners for, 5.2 against per match
- Head to head: 1 meeting, Houston Dynamo won 0, St. Louis City won 1, drew 0, averaging 6.0 corners per match
Frequently asked questions
- What is the kickoff time for Houston Dynamo vs St. Louis City?
- Kickoff is 19:00 ET in New York on Saturday 7 November 2026. That is 00:00 in the United Kingdom and 01:00 in central Europe, both on Sunday 8 November 2026.
- Where is the Houston Dynamo vs St. Louis City match played?
- The match is played at Shell Energy Stadium in USA. The fixture is part of the Major League Soccer.
- Which team produces more corners, Houston Dynamo or St. Louis City?
- Across the last 10 matches, Houston Dynamo produces 4.4 corners per game. St. Louis City produces 3.7 corners across the last 10 fixtures. For corners conceded, Houston Dynamo sits at 3.9 per match against 5.2 for St. Louis City. The two sides are close on corner output.
- How many times have Houston Dynamo and St. Louis City faced each other?
- The two sides have met once before. It ended in an St. Louis City win. The fixtures averaged 6.0 corners between the two sides.
Page last updated:
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Predictions, odds and team stats refresh automatically.
Sources: Fixture data and team statistics from API-Football. Odds from the sportsbooks we track.
Methodology: see how the model works.