Laura Siegemund

WTA ELO profile · tour-level matches since 2017

ELO 1585 · #107 Hard #69 Clay #80 Grass #28 Last match: Jun 29, 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

167-141 54.2% in 308 matches

Clay 60-47
Grass 13-11
Hard 94-83

Season by season

SeasonMW-LStartPeakEnd
2026 21 8-13 1618 1663 1585
2025 42 22-20 1588 1812 1794
2024 45 26-19 1581 1706 1623
2023 39 25-14 1537 1742 1742
2022 15 6-9 1560 1607 1534
2021 26 14-12 1633 1734 1604
2020 23 15-8 1580 1809 1783
2019 51 28-23 1553 1685 1669
2018 23 10-13 1590 1620 1590
2017 23 13-10 1651 1828 1779

Recent matches

WeekTournamentOpponentResult
Jun 29, 2026 Wimbledon · Grass Elise Mertens L 0-2
Jun 22, 2026 Eastbourne · Grass Sara Bejlek L 1-2
Jun 08, 2026 Queens · Grass Amanda Anisimova L 0-2
Francesca Jones W 2-0
May 24, 2026 Roland Garros · Clay Naomi Osaka L 0-2
May 05, 2026 Rome · Clay Karolina Pliskova L 0-2
Ekaterina Alexandrova W 2-1
Sara Bejlek W 2-0
Apr 21, 2026 Madrid · Clay Jasmine Paolini L 1-2
Irina-Camelia Begu W 2-0

Serve predictions: how close do we get on Laura Siegemund?

2025 · out-of-sample backtest Aces per match: 0.9 actual vs 1.0 projected
0.84 our average miss per match
1.05 baseline average miss (last five matches)
+20% accuracy edge over the baseline

Comparison covers 22 of the 27 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 Laura Siegemund follow the script?

On serve · 2026
SeasonMW-LModel hitUpsetsVerdict
2026 20 8-12 70.0% 6 vs 7.1 exp On serve
2025 bt 27 13-14 48.1% 14 vs 8.9 exp Wild card
2024 bt 32 17-15 50.0% 16 vs 12.4 exp On serve

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