Match prediction·USA: MLS·Sunday 02 Aug, 00:30 UTC

Sporting Kansas City vs Houston Dynamo FC

Bawler weighs each team's recent scoring and defending, then adjusts for home advantage and injuries to work out how this match is likely to go. This page shows the full chain — every number we used.

Why the model calls it this way

Over 1.5 Goals sits at 74% probability because both sides project evenly with combined xG of 2.81, creating consistent attacking threat despite Houston's marginal 39% win edge.

📊 Win probability
30.3% home31.0% draw38.8% away
📈 xG chain — base → adjustments → final goal estimate
Sporting Kansas CitystepHouston Dynamo FC
1.16Base xG · rolling 26-match1.59
× 1.13Home advantage · Home× 0.94
no injury adjustment — full squads available per FotMob
1.31Final goal estimate — what the model uses1.50

Sporting Kansas City average 5.8 corners per game at home this season (22 competitive matches). Houston Dynamo average 4.1 corners per game away from home this season (23 competitive matches).

🎯 Scoreline distribution · chance of each scoremodel estimate
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0
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9
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1
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12
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home windrawaway win
Most likely outcomes
Over 1.5 goals
74%
Sporting Kansas City or draw
52%
Over 3.5 goals
22%

Model probabilities for this fixture, ordered by likelihood. Estimates from rolling expected goals — not guarantees.

More predictions for these teams

Sporting Kansas City vs Houston Dynamo — Head-to-Head

This is the first meeting Bawler has on record between Sporting Kansas City and Houston Dynamo — the model's ledger starts at model launch, so no earlier fixtures between these two sides have been logged and settled yet.

The model's verdict for this fixture: Sporting Kansas City 30% · draw 31% · Houston Dynamo 39%.

Model probabilities are edge estimates for entertainment — not betting advice, and past performance does not guarantee future results. 18+.

⚡ Full-time recap available
Sporting Kansas City 02 Houston Dynamo FC
See how the model called it · call-by-call verdict · xG vs actual →
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Model estimates from rolling expected goals — not guaranteed outcomes. Past accuracy does not guarantee future results.