Germany Women vs Australia Women prediction for the Friendly International Women match on Oct 9, 2026. Germany Women are the clear favorites, holding a 70% win probability based on bookmaker odds and recent form, while Australia Women have just a 12% chance and a draw sits at 18%.
Germany Women come into this fixture in dominant form, with four wins and one draw from their last five matches. They beat Slovenia Women 2-0 away, Norway Women 2-0 at home, Austria Women 5-1 at home and Norway Women 4-0 away, while drawing 0-0 away to Austria. Their attack has scored 13 goals in that run and kept four clean sheets.
Australia Women have been less consistent, with a record of W, L, W, W, L in their last five outings. They recorded wins against Mexico Women (3-1 at home), Kenya Women (2-0 away) and Malawi Women (5-0 at home), but lost 1-0 at home to Mexico and 1-0 away to Japan Women. They will need to raise their game significantly to trouble the hosts.
These two sides have met three times before, all in Friendly International Women fixtures. Germany Women have won two of those encounters, while Australia Women have one victory.
The most recent clash in 2024 saw Australia win, but Germany's home advantage and current form make that result unlikely to repeat.
Based on the odds and recent performances, the probability of each outcome is:
These percentages are derived from the inverse of the first available odds (Germany 1.38, Draw 5.17, Australia 7.67), normalized to remove the bookmaker margin, and then adjusted slightly for Germany's stronger form and home advantage. Germany Women are clearly the more likely winner.
Bookmakers see Germany Women as strong favorites. The first line of odds shows a home win at 1.38, the draw at 5.17, and an away win at 7.67. Some bookmakers offer even lower home odds (1.33) and shorter draw prices (as low as 2.42), indicating confidence in Germany but a slight caution around the draw. Considering the stats, home form, and H2H, our match prediction is a Germany Women win. A 2-0 or 3-1 scoreline would align with the data.