Iva Jovic
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
51-30 63.0% in 81 matches
Season by season
| Season | M | W-L | Start | Peak | End |
|---|---|---|---|---|---|
| 2026 | 50 | 34-16 | 1642 | 1897 | 1896 |
| 2025 | 28 | 16-12 | 1536 | 1727 | 1701 |
| 2024 | 3 | 1-2 | 1500 | 1539 | 1517 |
Recent matches
| Week | Tournament | Opponent | Result |
|---|---|---|---|
| Aug 30, 2026 | Us Open · Hard | Alexandra Eala | W 2-1 |
| Francesca Jones | W 2-0 | ||
| Magdalena Frech | W 2-0 | ||
| Aug 13, 2026 | Cincinnati · Hard | Marie Bouzkova | L 0-2 |
| Tamara Korpatsch | W 2-0 | ||
| Aug 02, 2026 | Montreal · Hard | Alina Korneeva | L 0-2 |
| Magda Linette | W 2-0 | ||
| Jun 29, 2026 | Wimbledon · Grass | Jessica Pegula | L 1-2 |
| Ekaterina Alexandrova | W 2-1 | ||
| Tatjana Maria | W 2-0 |
Serve predictions: how close do we get on Iva Jovic?
Comparison covers 19 of the 24 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 Iva Jovic follow the script?
Straight sets · 2026| Season | M | W-L | Model hit | Upsets | Verdict |
|---|---|---|---|---|---|
| 2026 | 50 | 34-16 | 78.0% | 11 vs 16.3 exp | Straight sets |
| 2025 bt | 24 | 14-10 | 62.5% | 9 vs 8.0 exp | On serve |
An upset = our model's favorite losing. "Upsets" compares how many actually happened in Iva Jovic'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/iva-jovic">WTA ELO ratings by Predixsport</a> (CC BY 4.0)