Maya Joint
WTA ELO profile · tour-level matches since 2017
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
51-45 53.1% in 96 matches
Season by season
| Season | M | W-L | Start | Peak | End |
|---|---|---|---|---|---|
| 2026 | 29 | 11-18 | 1654 | 1691 | 1636 |
| 2025 | 61 | 38-23 | 1565 | 1788 | 1720 |
| 2024 | 6 | 2-4 | 1500 | 1551 | 1513 |
Recent matches
| Week | Tournament | Opponent | Result |
|---|---|---|---|
| Aug 30, 2026 | Us Open · Hard | Elina Svitolina | L 1-2 |
| Liudmila Samsonova | W 2-1 | ||
| Aug 23, 2026 | Monterrey · Hard | Panna Udvardy | L 0-2 |
| Yulia Putintseva | W 2-1 | ||
| Jessica Hinojosa Gomez | W 2-0 | ||
| Aug 13, 2026 | Cincinnati · Hard | Tamara Korpatsch | L 1-2 |
| Aug 02, 2026 | Montreal · Hard | Liudmila Samsonova | L 1-2 |
| Sorana Cirstea | W 2-0 | ||
| Yuliia Starodubtseva | W 2-1 | ||
| Ana Grubor | W 2-1 |
Serve predictions: how close do we get on Maya Joint?
Comparison covers 42 of the 47 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 Maya Joint follow the script?
On serve · 2026| Season | M | W-L | Model hit | Upsets | Verdict |
|---|---|---|---|---|---|
| 2026 | 26 | 8-18 | 69.2% | 8 vs 9.0 exp | On serve |
| 2025 bt | 47 | 27-20 | 72.3% | 13 vs 17.1 exp | On serve |
An upset = our model's favorite losing. "Upsets" compares how many actually happened in Maya Joint'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/maya-joint">WTA ELO ratings by Predixsport</a> (CC BY 4.0)