Mayar Sherif

WTA ELO profile · tour-level matches since 2017

ELO 1629 · #70 Hard #705 Clay #69 Grass #112 Last match: Aug 23, 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

53-81 39.6% in 134 matches

Clay 40-27
Grass 1-4
Hard 12-50

Season by season

SeasonMW-LStartPeakEnd
2026 13 8-5 1572 1671 1629
2025 14 1-13 1596 1580 1432
2024 23 9-14 1605 1728 1569
2023 37 15-22 1599 1678 1543
2022 22 8-14 1605 1614 1614
2021 20 9-11 1559 1584 1531
2020 5 3-2 1531 1582 1561

Recent matches

WeekTournamentOpponentResult
Aug 23, 2026 Monterrey · Hard Oleksandra Oliynykova L 0-2
Jul 20, 2026 Hamburg · Clay Tamara Korpatsch L 0-1
Paula Badosa W 2-1
Elsa Jacquemot W 2-0
Simona Waltert W 2-1
Jul 13, 2026 Iasi · Clay Oleksandra Oliynykova W 2-0
Yulia Putintseva W 2-1
Kaitlin Quevedo W 2-0
Dalma Galfi W 2-0
May 05, 2026 Rome · Clay Tamara Korpatsch L 1-2

Serve predictions: how close do we get on Mayar Sherif?

2025 · out-of-sample backtest Aces per match: 1.8 actual vs 1.4 projected
- our average miss per match
- baseline average miss (last five matches)
- accuracy edge over the baseline

Not enough matches with a baseline in 2025 for a fair comparison. The chart still shows every match we projected.

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 Mayar Sherif follow the script?

On serve · 2024
SeasonMW-LModel hitUpsetsVerdict
2024 bt 23 9-14 69.6% 7 vs 8.0 exp On serve

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