Paula Badosa

WTA ELO profile · tour-level matches since 2017

ELO 1697 · #45 Hard #33 Clay #48 Grass #52 Last match: Aug 30, 2026

Season ELO trajectory

One point per match: the player's ELO rating after that match, matches in round order. Ratings are season-scoped: every January the engine re-seeds each player from WTA entry points, then updates after every result. That is why trajectories are shown one season at a time. Hover a point for the match behind it.

Career record

171-103 62.4% in 274 matches

Clay 62-28
Grass 16-11
Hard 93-64

Season by season

SeasonMW-LStartPeakEnd
2026 31 15-16 1668 1703 1697
2025 30 18-12 1791 1940 1769
2024 55 37-18 1595 2037 1982
2023 26 17-9 1736 1913 1822
2022 51 31-20 1885 1985 1714
2021 51 38-13 1602 2060 2060
2020 17 10-7 1569 1702 1663
2019 13 5-8 1543 1533 1486

Recent matches

WeekTournamentOpponentResult
Aug 30, 2026 Us Open · Hard Coco Gauff L 0-2
Daria Kasatkina W 2-0
Jul 20, 2026 Hamburg · Clay Mayar Sherif L 1-2
Panna Udvardy W 2-0
Katarzyna Kawa W 2-0
Jul 13, 2026 Iasi · Clay Tamara Zidansek W 2-1
Panna Udvardy W 2-0
Alevtina Ibragimova W 2-1
Anhelina Kalinina W 2-0
Jun 29, 2026 Wimbledon · Grass Emma Navarro L 1-2

Serve predictions: how close do we get on Paula Badosa?

2025 · out-of-sample backtest Aces per match: 4.3 actual vs 4.4 projected
2.50 our average miss per match
2.60 baseline average miss (last five matches)
+4% accuracy edge over the baseline

Comparison covers 25 of the 30 aces projections we made in 2025. A match needs five earlier matches on record before the baseline exists.

The baseline predicts a player's aces as the average of their last five matches. Our model beats it when its projections land closer to what actually happened. Both numbers are the average miss per match, so lower is better, and both are for the selected season only.

Predictability: does Paula Badosa follow the script?

On serve · 2026
SeasonMW-LModel hitUpsetsVerdict
2026 31 15-16 58.1% 13 vs 10.1 exp On serve
2025 bt 30 18-12 60.0% 12 vs 10.7 exp On serve
2024 bt 55 37-18 67.3% 18 vs 20.1 exp On serve

An upset = our model's favorite losing. "Upsets" compares how many actually happened in Paula Badosa's matches with how many the model expected for that exact schedule. A season-level read (a wild-card season does not carry over year to year). How to read this · full board: most predictable WTA players.

Reuse this data · CC BY 4.0

The WTA ELO ratings dataset is free to reuse, including commercially, under CC BY 4.0. Attribution with a link is the only requirement. Copy-paste credit:

Data: <a href="https://www.predixsport.com/wta_tennis-power-rankings/paula-badosa">WTA ELO ratings by Predixsport</a> (CC BY 4.0)