Jil Teichmann

WTA ELO profile · tour-level matches since 2017

ELO 1721 · #37 Hard #171 Clay #25 Grass #253 Last match: May 24, 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

131-126 51.0% in 257 matches

Clay 53-38
Grass 4-10
Hard 74-78

Season by season

SeasonMW-LStartPeakEnd
2026 10 7-3 1562 1738 1721
2025 24 12-12 1555 1615 1556
2024 9 5-4 1558 1581 1561
2023 37 16-21 1634 1690 1519
2022 46 23-23 1662 1881 1597
2021 38 20-18 1621 1847 1754
2020 27 14-13 1586 1706 1563
2019 35 20-15 1539 1710 1540
2018 21 10-11 1542 1585 1568
2017 10 4-6 1525 1553 1520

Recent matches

WeekTournamentOpponentResult
May 24, 2026 Roland Garros · Clay Mirra Andreeva L 0-2
Karolina Muchova W 2-0
Magdalena Frech W 2-0
Liudmila Samsonova W 2-0
May 18, 2026 Rabat · Clay Petra Marcinko L 0-2
Yasmine Kabbaj W 2-1
Alycia Parks W 2-0
Julia Grabher W 2-0
May 05, 2026 Rome · Clay Rebeka Masarova L 1-2
Hanne Vandewinkel W 2-0

Serve predictions: how close do we get on Jil Teichmann?

2025 · out-of-sample backtest Aces per match: 2.0 actual vs 1.5 projected
0.82 our average miss per match
1.47 baseline average miss (last five matches)
+44% accuracy edge over the baseline

Comparison covers 12 of the 17 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 Jil Teichmann follow the script?

On serve · 2025
SeasonMW-LModel hitUpsetsVerdict
2025 bt 17 8-9 64.7% 6 vs 6.5 exp On serve

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