Jaime Faria
ATP ELO profile · tour-level matches since 2015
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 ATP 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
52-37 58.4% in 89 matches
Season by season
| Season | M | W-L | Start | Peak | End |
|---|---|---|---|---|---|
| 2026 | 49 | 31-18 | 1540 | 1825 | 1701 |
| 2025 | 28 | 15-13 | 1548 | 1691 | 1570 |
| 2024 | 12 | 6-6 | 1512 | 1608 | 1494 |
Recent matches
| Week | Tournament | Opponent | Result |
|---|---|---|---|
| Oct 19, 2026 | Marseille · Hard | Felix Balshaw | L 1-2 |
| Oct 07, 2026 | Shanghai · Hard | Arthur Gea | L 1-2 |
| Sep 30, 2026 | Tokio · Hard | Jaume Munar | L 0-2 |
| Arthur Fery | W 2-1 | ||
| Adolfo Daniel Vallejo | L 1-2 | ||
| Shintaro Mochizuki | W 2-0 | ||
| Sep 23, 2026 | Hangzhou · Hard | Hugo Gaston | L 1-2 |
| Terence Atmane | W 2-1 | ||
| Aug 30, 2026 | Us Open · Hard | Carlos Alcaraz | L 1-3 |
| Jenson Brooksby | W 3-2 |
Serve predictions: how close do we get on Jaime Faria?
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 Jaime Faria follow the script?
Wild card · 2026| Season | M | W-L | Model hit | Upsets | Verdict |
|---|---|---|---|---|---|
| 2026 | 29 | 15-14 | 48.3% | 15 vs 11.0 exp | Wild card |
An upset = our model's favorite losing. "Upsets" compares how many actually happened in Jaime Faria'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 ATP players.
Reuse this data · CC BY 4.0
The ATP 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/tennis-power-rankings/jaime-faria">ATP ELO ratings by Predixsport</a> (CC BY 4.0)