Jasmine Paolini

WTA ELO profile · tour-level matches since 2017

ELO 1813 · #29 Hard #31 Clay #14 Grass #13 Last match: Oct 19, 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

203-157 56.4% in 360 matches

Clay 64-49
Grass 13-11
Hard 126-97

Season by season

SeasonMW-LStartPeakEnd
2026 34 19-15 1924 1950 1813
2025 58 41-17 2040 2087 1979
2024 48 33-15 1653 2132 1937
2023 50 27-23 1587 1822 1792
2022 44 22-22 1618 1673 1648
2021 43 23-20 1578 1731 1723
2020 19 5-14 1569 1583 1507
2019 30 16-14 1529 1619 1571
2018 21 12-9 1535 1613 1558
2017 13 5-8 1524 1556 1491

Recent matches

WeekTournamentOpponentResult
Oct 19, 2026 Ningbo · Hard Anhelina Kalinina W 2-0
Oct 12, 2026 Wuhan · Hard Sonay Kartal L 0-2
Nikola Bartunkova W 2-0
Sara Bejlek W 2-0
Sep 30, 2026 Beijing · Hard Daria Snigur L 1-2
Aug 30, 2026 Us Open · Hard Sorana Cirstea L 0-2
Lucrezia Stefanini W 2-0
Veronika Erjavec W 2-1
Jun 29, 2026 Wimbledon · Grass Marta Kostyuk L 0-2
Alexandra Eala W 2-1

Serve predictions: how close do we get on Jasmine Paolini?

2025 · out-of-sample backtest Aces per match: 1.3 actual vs 1.8 projected
1.30 our average miss per match
1.25 baseline average miss (last five matches)
-5% accuracy edge over the baseline

Comparison covers 53 of the 58 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 Jasmine Paolini follow the script?

On serve · 2026
SeasonMW-LModel hitUpsetsVerdict
2026 34 19-15 67.6% 11 vs 11.0 exp On serve
2025 bt 58 41-17 70.7% 17 vs 18.8 exp On serve
2024 bt 48 33-15 68.8% 15 vs 17.7 exp On serve

An upset = our model's favorite losing. "Upsets" compares how many actually happened in Jasmine Paolini'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/jasmine-paolini">WTA ELO ratings by Predixsport</a> (CC BY 4.0)