Match prediction·USA: MLS·Thursday 23 Jul, 02:30 UTC

San Jose Earthquakes vs Orlando City SC

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 carries 85% probability because San Jose's 2.43 xG towers 1.21 above Orlando's 1.22, forcing a high-volume attacking script.

📊 Win probability
61.6% home22.3% draw16.1% away
📈 xG chain — base → adjustments → final goal estimate
San Jose EarthquakesstepOrlando City SC
2.15Base xG · rolling 26-match1.29
× 1.13Home advantage · Home× 0.94
no injury adjustment — full squads available per FotMob
2.43Final goal estimate — what the model uses1.22

San Jose Earthquakes average 7.0 corners per game at home this season (20 competitive matches). Orlando City average 4.5 corners per game away from home this season (25 competitive matches).

🎯 Scoreline distribution · chance of each scoremodel estimate
0
1
2
3
4
5
6
0
3
3
2
1
1
6
8
5
2
1
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8
9
6
2
1
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6
8
5
2
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4
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1
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2
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6
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1
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home windrawaway win
Most likely outcomes
Over 1.5 goals
85%
Orlando City SC or draw
23%

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

More predictions for these teams

San Jose Earthquakes vs Orlando City — Head-to-Head

This is the first meeting Bawler has on record between San Jose Earthquakes and Orlando City — 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: San Jose Earthquakes 62% · draw 22% · Orlando City 16%.

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

⚡ Full-time recap available
San Jose Earthquakes 04 Orlando City SC
See how the model called it · call-by-call verdict · xG vs actual →
More match predictions ▶

Model estimates from rolling expected goals — not guaranteed outcomes. Past accuracy does not guarantee future results.