Houston Dynamo vs St. Louis City Prediction — Model Probabilities
The bookmaker priced every market fairly — no dependable value at these odds, so skipping is the disciplined play.
Our Pick is our best estimate of the outcome; a value flag is a separate, rarer judgement about the price.
Edge (pp): green = we see more probability than the market · gold = essentially even (±0.5pp) · red = we see less. The Decision above outranks any single row: the engine backs well-supported edges, not merely big ones.
Houston Dynamo v St. Louis City — Team-Based Signals
Houston Dynamo vs St. Louis City Head-to-Head — Last 4 Meetings
1-0
HT 0-0
St. Louis City
CON
2-1
HT 0-0
Houston Dynamo
CON
1-1
HT 1-0
St. Louis City
ABD
3-0
HT 1-0
Houston Dynamo
ABD
Houston Dynamo 0-0 St. Louis City — Actual Match Statistics
Houston Dynamo and St. Louis City played out a goalless draw. Neither side could find a way through.
Our pre-match lean was Houston Dynamo at 43%, but a lead that slim is closer to a coin-flip than a call — and it fell the other way.
Over 2.5 goals sat near a coin-flip at 54% and both teams to score was close to even at 53%.
On the day, Houston Dynamo had 68% of the ball to St. Louis City's 32%, shots finished 22-18, expected goals 1.36 to 1.02.
Coming into the game, across their last 4 meetings in our records, St. Louis City led the recent series with 2 wins, 1 drawn. Those games averaged 0.75 goals for Houston Dynamo and 1.50 for St. Louis City.
What was the final score of Houston Dynamo vs St. Louis City?
Houston Dynamo 0-0 St. Louis City in the USA - Major League on 05/05/2024. The analysis above shows what our model predicted before kick-off next to what actually happened.
What did the model predict for Houston Dynamo vs St. Louis City?
Before kick-off our model rated a Houston Dynamo win the most likely single outcome at about 43%, with the full match-result split Houston Dynamo 43%, draw 24%, St. Louis City 33%. The final score 0-0 went against our main leads this time — single matches are noisy by nature; our accuracy is measured across thousands of predictions, not one result.