Match prediction·USA: MLS·Thursday 16 Jul, 23:30 UTC

CF Montréal vs Toronto 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 lands at 74% probability because Montréal's 0.40 expected-goal edge and superior 1.56 xG output creates a ceiling-breaching attacking mismatch Toronto's 1.17 xG simply cannot defend.

📊 Win probability
43.3% home30.9% draw25.8% away
📈 xG chain — base → adjustments → final goal estimate
CF MontréalstepToronto FC
1.38Base xG · rolling 26-match1.24
× 1.13Home advantage · Home× 0.94
no injury adjustment — full squads available per FotMob
1.56Final goal estimate — what the model uses1.17

CF Montréal average 5.8 corners per game at home this season (23 competitive matches). Toronto average 4.2 corners per game away from home this season (22 competitive matches).

🎯 Scoreline distribution · chance of each scoremodel estimate
0
1
2
3
4
5
6
0
7
8
4
2
1
1
10
12
7
3
1
2
8
9
5
2
1
3
4
5
3
1
4
2
2
1
5
1
1
6
home windrawaway win
Most likely outcomes
Over 1.5 goals
74%
Toronto FC to win
23%

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

More predictions for these teams

CF Montréal vs Toronto — Head-to-Head

This is the first meeting Bawler has on record between CF Montréal and Toronto — 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: CF Montréal 43% · draw 31% · Toronto 26%.

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

⚡ Full-time recap available
CF Montréal 00 Toronto 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.