The USA vs Chile prediction for this Friendly International match on September 30, 2026, at 01:00 points towards a USA victory. Based on our win probability analysis, the USA has a 62% chance of winning, making them the clear favorite.
The USA's recent form shows a pattern of three wins and two losses in their last five matches (W, L, W, L, W). Their most recent outing was a dominant 4-1 home victory against Peru in a Friendly International on September 26. Prior to that, their World Cup campaign included a 1-4 loss to Belgium and a 2-0 win over Bosnia-Herzegovina.
Chile comes into this match with two wins and three losses in their last five (L, W, L, L, W). Their latest result was a 0-1 away defeat to Canada in a Friendly International on September 27. Before that, they secured a 2-1 win away against Congo DR but suffered losses to Portugal and New Zealand.
The head-to-head record between these two nations is limited to a single previous encounter. They met in a Friendly International on March 26, 2019, a match that ended in a 1-1 draw. With 0 wins for the USA, 0 wins for Chile, and 1 draw, there is little historical data to separate the sides.
As this is a Friendly International, there are no league table positions or points gaps to report for either the USA or Chile.
Our calculated win probabilities for this match are: USA win 62%, draw 22%, Chile win 16%. This assessment uses the available bookmaker odds as a base, adjusted for the USA's stronger recent form and home advantage. The USA has won three of their last five, including a high-scoring home win just days ago, while Chile has lost three of their last five, including their most recent away match. The USA has a 62% chance of winning, the draw is at 22%, and Chile has a 16% chance.
Bookmakers see the USA as the strong favorite. The best available odds for a USA win are 1.47, while a draw is priced at 5.00 and a Chile victory at 7.25. Based on the stats, form, and home advantage, the USA is the most likely winner. A bet on the USA to win is the prediction that aligns with the data.