Match prediction·USA: MLS·Thursday 23 Jul, 00:30 UTC

Sporting Kansas City vs Minnesota United 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 at 80% confidence is the play—Minnesota's expected-goal edge of 0.34 combined with a combined xG total of 2.98 signals a high-volume attacking setup that favors goals.

📊 Win probability
27.9% home29.5% draw42.5% away
📈 xG chain — base → adjustments → final goal estimate
Sporting Kansas CitystepMinnesota United FC
1.17Base xG · rolling 26-match1.77
× 1.13Home advantage · Home× 0.94
no injury adjustment — full squads available per FotMob
1.32Final goal estimate — what the model uses1.66

Sporting Kansas City average 5.8 corners per game at home this season (22 competitive matches). Minnesota United average 4.2 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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6
0
5
8
7
4
2
1
1
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11
9
5
2
1
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7
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3
1
3
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3
1
1
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1
1
1
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home windrawaway win
Most likely outcomes
Over 1.5 goals
80%
Over 3.5 goals
25%

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

More predictions for these teams

Sporting Kansas City vs Minnesota United — Head-to-Head

This is the first meeting Bawler has on record between Sporting Kansas City and Minnesota United — 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 28% · draw 30% · Minnesota United 43%.

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 21 Minnesota United 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.