International Friendlies Women predictions, match statistics, bookmaker odds, team form and rated football tips for upcoming fixtures.
Current-season team performance, scoring and defensive trends.
| Team | MP | W | D | L | GF | GA | Win %▼ | BTTS↕ | O2.5↕ | CS↕ | |
|---|---|---|---|---|---|---|---|---|---|---|---|
 venezuela-womens-national-team | 1 | 1 | 0 | 0 | 2 | 1 | 100% | 100% | 100% | 0% | NaN |
 bhutan-womens-national-team | 1 | 1 | 0 | 0 | 7 | 0 | 100% | 0% | 100% | 100% | NaN |
 equatorial-guinea-womens-national-team | 1 | 1 | 0 | 0 | 3 | 1 | 100% | 100% | 100% | 0% | NaN |
 zimbabwe-womens-national-team | 2 | 2 | 0 | 0 | 6 | 1 | 100% | 50% | 100% | 50% | NaN |
 bermuda-womens-national-team | 2 | 2 | 0 | 0 | 5 | 0 | 100% | 0% | 50% | 100% | NaN |
 jordan-womens-national-team | 2 | 2 | 0 | 0 | 5 | 3 | 100% | 50% | 50% | 50% | NaN |
 nigeria-womens-national-team | 5 | 4 | 0 | 1 | 10 | 4 | 80% | 60% | 80% | 20% | NaN |
 ghana-womens-national-team | 5 | 4 | 1 | 0 | 13 | 0 | 80% | 0% | 60% | 100% | NaN |
 cote-divoire-womens-national-team | 9 | 7 | 1 | 1 | 32 | 3 | 78% | 22% | 44% | 67% | NaN |
 canada-womens-national-team | 4 | 3 | 0 | 1 | 13 | 2 | 75% | 25% | 75% | 50% | NaN |
 russia-women-national-team | 4 | 3 | 0 | 1 | 7 | 6 | 75% | 50% | 75% | 25% | NaN |
 south-africa-womens-national-team | 4 | 3 | 0 | 1 | 4 | 5 | 75% | 0% | 25% | 75% | NaN |
 australia-womens-national-team | 4 | 3 | 0 | 1 | 10 | 2 | 75% | 25% | 50% | 50% | NaN |
 thailand-womens-national-team | 4 | 3 | 1 | 0 | 8 | 1 | 75% | 25% | 25% | 75% | NaN |
 el-salvador-womens-national-team | 4 | 3 | 1 | 0 | 11 | 2 | 75% | 50% | 50% | 50% | NaN |
 united-states-womens-national-team | 7 | 5 | 0 | 2 | 18 | 4 | 71% | 29% | 71% | 57% | NaN |
 hong-kong-womens-national-team | 3 | 2 | 0 | 1 | 6 | 7 | 67% | 67% | 100% | 0% | NaN |
 pakistan-womens-national-team | 3 | 2 | 0 | 1 | 9 | 2 | 67% | 0% | 33% | 67% | NaN |
 cameroon-womens-national-team | 3 | 2 | 0 | 1 | 5 | 4 | 67% | 67% | 67% | 33% | NaN |
 chile-womens-national-team | 3 | 2 | 0 | 1 | 2 | 5 | 67% | 0% | 33% | 67% | NaN |
 mexico-womens-national-team | 3 | 2 | 0 | 1 | 3 | 3 | 67% | 33% | 33% | 67% | NaN |
 morocco-womens-national-team | 9 | 6 | 3 | 0 | 24 | 5 | 67% | 44% | 67% | 56% | NaN |
 brazil-womens-national-team | 8 | 5 | 0 | 3 | 20 | 9 | 63% | 63% | 63% | 13% | NaN |
 saudi-arabia-womens-national-team | 8 | 5 | 1 | 2 | 20 | 6 | 63% | 38% | 63% | 50% | NaN |
 china-womens-national-team | 5 | 3 | 0 | 2 | 7 | 3 | 60% | 20% | 40% | 60% | NaN |
 algeria-womens-national-team | 6 | 3 | 1 | 2 | 8 | 6 | 50% | 33% | 33% | 33% | NaN |
 congo-dr-womens-national-team | 2 | 1 | 0 | 1 | 7 | 3 | 50% | 50% | 50% | 0% | NaN |
 singapore-womens-national-team | 2 | 1 | 0 | 1 | 2 | 5 | 50% | 0% | 50% | 50% | NaN |
 uzbekistan-womens-national-team | 4 | 2 | 0 | 2 | 7 | 4 | 50% | 25% | 25% | 25% | NaN |
 uruguay-womens-national-team | 2 | 1 | 1 | 0 | 4 | 3 | 50% | 100% | 50% | 0% | NaN |
 kenya-womens-national-team | 6 | 3 | 1 | 2 | 11 | 4 | 50% | 17% | 17% | 50% | NaN |
 kyrgyz-republic-womens-national-team | 4 | 2 | 0 | 2 | 9 | 5 | 50% | 0% | 75% | 50% | NaN |
 tunisia-womens-national-team | 4 | 2 | 2 | 0 | 6 | 4 | 50% | 75% | 50% | 25% | NaN |
 haiti-womens-national-team | 2 | 1 | 0 | 1 | 3 | 4 | 50% | 100% | 100% | 0% | NaN |
 cambodia-womens-national-team | 2 | 1 | 1 | 0 | 6 | 1 | 50% | 50% | 50% | 50% | NaN |
 jamaica-womens-national-team | 2 | 1 | 1 | 0 | 1 | 0 | 50% | 0% | 0% | 100% | NaN |
 palestine-womens-national-team | 2 | 1 | 0 | 1 | 2 | 1 | 50% | 0% | 0% | 50% | NaN |
 japan-womens-national-team | 5 | 2 | 0 | 3 | 7 | 6 | 40% | 20% | 60% | 40% | NaN |
 vanuatu-womens-national-team | 5 | 2 | 2 | 1 | 8 | 4 | 40% | 40% | 20% | 40% | NaN |
 egypt-womens-national-team | 6 | 2 | 2 | 2 | 9 | 10 | 33% | 67% | 67% | 17% | NaN |
 mauritania-women | 3 | 1 | 0 | 2 | 6 | 9 | 33% | 0% | 67% | 33% | NaN |
 botswana-womens-national-team | 3 | 1 | 2 | 0 | 6 | 3 | 33% | 100% | 33% | 0% | NaN |
 fiji-womens-national-team | 7 | 2 | 0 | 5 | 6 | 13 | 29% | 43% | 57% | 14% | NaN |
 indonesia-womens-national-team | 4 | 1 | 1 | 2 | 6 | 12 | 25% | 75% | 50% | 0% | NaN |
 senegal-womens-national-team | 4 | 1 | 1 | 2 | 5 | 8 | 25% | 50% | 75% | 25% | NaN |
 vietnam-womens-national-team | 5 | 1 | 0 | 4 | 3 | 12 | 20% | 20% | 40% | 20% | NaN |
 tanzania-womens-national-team | 6 | 1 | 2 | 3 | 3 | 9 | 17% | 33% | 50% | 50% | NaN |
 benin-womens-national-team | 6 | 1 | 0 | 5 | 6 | 12 | 17% | 50% | 50% | 17% | NaN |
 malawi-womens-national-team | 6 | 1 | 1 | 4 | 4 | 14 | 17% | 33% | 67% | 17% | NaN |
 south-korea-womens-national-team | 3 | 0 | 1 | 2 | 3 | 9 | 0% | 100% | 67% | 0% | NaN |
 tajikistan-womens-national-team | 1 | 0 | 1 | 0 | 0 | 0 | 0% | 0% | 0% | 100% | NaN |
 united-arab-emirates-womens-national-team | 1 | 0 | 1 | 0 | 0 | 0 | 0% | 0% | 0% | 100% | NaN |
 zambia-women | 7 | 0 | 3 | 4 | 4 | 17 | 0% | 57% | 43% | 0% | NaN |
 india-womens-national-team | 2 | 0 | 0 | 2 | 2 | 5 | 0% | 50% | 50% | 0% | NaN |
 faroe-islands-womens-national-team | 1 | 0 | 1 | 0 | 1 | 1 | 0% | 100% | 0% | 0% | NaN |
 moldova-womens-national-team | 1 | 0 | 1 | 0 | 1 | 1 | 0% | 100% | 0% | 0% | NaN |
 cyprus-womens-national-team | 1 | 0 | 1 | 0 | 1 | 1 | 0% | 100% | 0% | 0% | NaN |
 greece-womens-national-team | 1 | 0 | 1 | 0 | 1 | 1 | 0% | 100% | 0% | 0% | NaN |
 paraguay-womens-national-team | 3 | 0 | 0 | 3 | 0 | 8 | 0% | 0% | 33% | 0% | NaN |
 ecuador-womens-national-team | 2 | 0 | 1 | 1 | 3 | 4 | 0% | 100% | 50% | 0% | NaN |
 peru-womens-national-team | 2 | 0 | 0 | 2 | 0 | 5 | 0% | 0% | 50% | 0% | NaN |
 costa-rica-womens-national-team | 3 | 0 | 1 | 2 | 3 | 12 | 0% | 67% | 67% | 0% | NaN |
 new-caledonia-womens-national-team | 6 | 0 | 0 | 6 | 3 | 19 | 0% | 33% | 67% | 0% | NaN |
 cabo-verde-womens-national-team | 4 | 0 | 1 | 3 | 0 | 11 | 0% | 0% | 75% | 25% | NaN |
 burkina-faso-womens-national-team | 6 | 0 | 4 | 2 | 6 | 12 | 0% | 50% | 50% | 17% | NaN |
 macau-women | 1 | 0 | 0 | 1 | 0 | 7 | 0% | 0% | 100% | 0% | NaN |
 american-samoa-women | 1 | 0 | 0 | 1 | 1 | 2 | 0% | 100% | 100% | 0% | NaN |
 turks-and-caicos-islands-women | 3 | 0 | 0 | 3 | 1 | 29 | 0% | 33% | 100% | 0% | NaN |
 comoros-womens-national-team | 2 | 0 | 0 | 2 | 1 | 4 | 0% | 50% | 50% | 0% | NaN |
 new-zealand-womens-national-team | 2 | 0 | 1 | 1 | 1 | 2 | 0% | 50% | 50% | 50% | NaN |
 guatemala-womens-national-team | 1 | 0 | 0 | 1 | 1 | 5 | 0% | 100% | 100% | 0% | NaN |
 panama-womens-national-team | 2 | 0 | 1 | 1 | 0 | 1 | 0% | 0% | 0% | 50% | NaN |
 myanmar-womens-national-team | 2 | 0 | 1 | 1 | 1 | 2 | 0% | 50% | 0% | 0% | NaN |
 belize-national-team-women | 2 | 0 | 0 | 2 | 0 | 5 | 0% | 0% | 50% | 0% | NaN |
 malaysia-womens-national-team | 2 | 0 | 0 | 2 | 3 | 6 | 0% | 50% | 50% | 0% | NaN |
 mali-womens-national-team | 4 | 0 | 3 | 1 | 3 | 4 | 0% | 50% | 25% | 25% | NaN |
 laos-womens-national-team | 2 | 0 | 0 | 2 | 1 | 9 | 0% | 50% | 100% | 0% | NaN |
 sri-lanka-womens-national-team | 1 | 0 | 0 | 1 | 0 | 4 | 0% | 0% | 100% | 0% | NaN |
 lesotho-womens-national-team | 2 | 0 | 0 | 2 | 1 | 9 | 0% | 50% | 100% | 0% | NaN |
 bahrain-womens-national-team | 2 | 0 | 0 | 2 | 0 | 9 | 0% | 0% | 100% | 0% | NaN |
 namibia-womens-national-team | 2 | 0 | 1 | 1 | 2 | 5 | 0% | 100% | 50% | 0% | NaN |
BetGenuine provides data-driven International Friendlies Women predictions using team form, scoring trends, defensive performance, match statistics and probability-based analysis. The statistics and upcoming match data on this page relate to the 2026 season where available.
The prediction section covers upcoming matches with estimated probabilities, suggested markets, available bookmaker odds and expected match outcomes. Predictions are generated from available data and should be treated as probability estimates rather than guaranteed results.
Recent form helps show how both teams have performed before an upcoming fixture. Depending on the selected market, the form indicators can represent wins, draws and losses, goal trends, both teams to score or match trends from recent matches.
The league statistics table compares teams using current-season data such as matches played, wins, goals, clean sheets, BTTS percentage, over 2.5 goals rate and average corners. The sortable columns make it easier to identify teams with particularly strong statistical trends.
You can explore different football prediction markets including 1X2, goals, both teams to score, double chance and correct score. Market availability can vary depending on the fixture and the underlying data available.
Start with the upcoming predictions, compare each selection with the recent form indicators and then use the league statistics table to understand the wider performance trend. A strong probability alone should not be used in isolation; form, opposition, available odds and sample size should also be considered.
We analyse team statistics, recent form, scoring and defensive trends, home and away performance and available match information.
Our model converts team and match data into probabilities across the supported prediction markets.
BetGenuine Rating is based on the Last-6 PPG gap. A gap of 0.00–0.24 is Low; 0.25–0.49 gives the higher-PPG team a Low-rated Double Chance; 0.50–0.75 gives the higher-PPG team a Low-rated win; 0.76–1.49 is Normal; 1.50–1.99 is High; and 2.00+ is Very High.
Use probability, confidence, form and available odds together to make informed decisions. No prediction should be treated as guaranteed.