Victoria Mboko

WTA ELO profile · tour-level matches since 2017

ELO 1884 · #16 Hard #6 Clay #23 Grass #43 Last match: Jun 08, 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

45-21 68.2% in 66 matches

Clay 10-5
Grass 1-2
Hard 34-14

Season by season

SeasonMW-LStartPeakEnd
2026 32 23-9 1716 2048 1884
2025 32 22-10 1519 1962 1898
2022 2 0-2 1500 1478 1465

Recent matches

WeekTournamentOpponentResult
Jun 08, 2026 Queens · Grass Karolina Pliskova L 0-1
May 24, 2026 Roland Garros · Clay Madison Keys L 1-2
Katerina Siniakova W 2-1
Nikola Bartunkova W 2-0
May 17, 2026 Strasbourg · Clay Emma Navarro L 1-2
Jaqueline Cristian W 2-1
Leylah Fernandez W 2-0
Lois Boisson W 2-0
Apr 21, 2026 Madrid · Clay Caty McNally L 0-2
Mar 17, 2026 Miami · Hard Karolina Muchova L 0-2

Serve predictions: how close do we get on Victoria Mboko?

2025 · out-of-sample backtest Aces per match: 4.6 actual vs 3.2 projected
2.90 our average miss per match
3.32 baseline average miss (last five matches)
+13% 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 Victoria Mboko follow the script?

On serve · 2026
SeasonMW-LModel hitUpsetsVerdict
2026 32 23-9 68.8% 10 vs 9.6 exp On serve
2025 bt 30 20-10 63.3% 11 vs 9.7 exp On serve

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