Match prediction·USA: MLS·Saturday 25 Jul, 23:15 UTC

Columbus Crew vs FC Cincinnati

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 dominates at 81% probability because Columbus generates a decisive 0.50 xG edge (1.79 vs 1.28) with Diego Rossi controlling a quarter of their attacking output.

📊 Win probability
46.3% home28.5% draw25.2% away
📈 xG chain — base → adjustments → final goal estimate
Columbus CrewstepFC Cincinnati
1.58Base xG · rolling 26-match1.36
× 1.13Home advantage · Home× 0.94
no injury adjustment — full squads available per FotMob
1.79Final goal estimate — what the model uses1.28

Columbus Crew average 5.5 corners per game at home this season (25 competitive matches). Cincinnati average 3.8 corners per game away from home this season (23 competitive matches).

🎯 Scoreline distribution · chance of each scoremodel estimate
0
1
2
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4
5
6
0
5
6
4
2
1
1
8
11
7
3
1
2
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10
6
3
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6
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4
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2
1
5
1
1
1
6
home windrawaway win
Most likely outcomes
Over 1.5 goals
81%
Over 3.5 goals
26%

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

More predictions for these teams

Columbus Crew vs Cincinnati — Head-to-Head

This is the first meeting Bawler has on record between Columbus Crew and Cincinnati — 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: Columbus Crew 46% · draw 28% · Cincinnati 25%.

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

⚡ Full-time recap available
Columbus Crew 21 FC Cincinnati
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.