Match prediction·USA: MLS·Saturday 25 Jul, 23:30 UTC

New York City FC vs Chicago Fire 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 77% probability because both sides project nearly even attacking threat—NYCFC's 1.55 xG and Chicago's 1.40 xG combine for a 2.95-goal fixture that punishes the under.

📊 Win probability
38.2% home30.1% draw31.7% away
📈 xG chain — base → adjustments → final goal estimate
New York City FCstepChicago Fire FC
1.37Base xG · rolling 26-match1.49
× 1.13Home advantage · Home× 0.94
no injury adjustment — full squads available per FotMob
1.55Final goal estimate — what the model uses1.40

New York City average 5.6 corners per game at home this season (25 competitive matches). Chicago Fire average 3.8 corners per game away from home this season (24 competitive matches).

🎯 Scoreline distribution · chance of each scoremodel estimate
0
1
2
3
4
5
6
0
5
7
5
2
1
1
8
11
8
4
1
2
6
9
6
3
1
3
3
5
3
1
1
4
1
2
1
1
5
1
6
home windrawaway win
Most likely outcomes
Over 1.5 goals
77%
Over 3.5 goals
24%

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

More predictions for these teams

New York City vs Chicago Fire — Head-to-Head

This is the first meeting Bawler has on record between New York City and Chicago Fire — 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: New York City 38% · draw 30% · Chicago Fire 32%.

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

⚡ Full-time recap available
New York City FC 31 Chicago Fire FC
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.