Emilio Nava

ATP ELO profile · tour-level matches since 2015

ELO 1591 · #113 Hard #114 Clay #60 Grass #584 Last match: Jun 29, 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 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

50-57 46.7% in 107 matches

Clay 14-18
Grass 2-5
Hard 34-34

Season by season

SeasonMW-LStartPeakEnd
2026 30 14-16 1568 1694 1591
2025 20 10-10 1527 1645 1626
2024 25 11-14 1542 1641 1430
2023 19 10-9 1532 1696 1669
2022 8 3-5 1516 1526 1509
2021 4 2-2 1503 1563 1525
2019 1 0-1 1500 1489 1489

Recent matches

WeekTournamentOpponentResult
Jun 29, 2026 Wimbledon · Grass Ignacio Buse L 1-3
Jun 22, 2026 Eastbourne · Grass Hamish Stewart L 1-2
May 24, 2026 Roland Garros · Clay Camilo Ugo Carabelli L 0-3
Pedro Martinez W 2-0
Thiago Seyboth Wild W 2-0
Yunchaokete Bu W 2-0
May 06, 2026 Rome · Clay Federico Bondioli L 1-2
Apr 22, 2026 Madrid · Clay Arthur Fils L 0-2
Valentin Vacherot W 2-1
Jenson Brooksby W 2-0

Serve predictions: how close do we get on Emilio Nava?

2025 · out-of-sample backtest Aces per match: 8.6 actual vs 8.6 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 Emilio Nava follow the script?

On serve · 2026
SeasonMW-LModel hitUpsetsVerdict
2026 17 5-12 70.6% 5 vs 6.2 exp On serve

An upset = our model's favorite losing. "Upsets" compares how many actually happened in Emilio Nava'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/emilio-nava">ATP ELO ratings by Predixsport</a> (CC BY 4.0)