Taylor Fritz

ATP ELO profile · tour-level matches since 2015

ELO 1920 · #9 Hard #11 Clay #59 Grass #5 Last match: Aug 30, 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

350-207 62.8% in 557 matches

Clay 54-44
Grass 61-29
Hard 235-134

Season by season

SeasonMW-LStartPeakEnd
2026 43 31-12 1884 1937 1920
2025 63 45-18 2035 2048 1915
2024 62 44-18 1810 2090 2011
2023 70 49-21 1836 1961 1847
2022 54 38-16 1705 2020 1879
2021 44 26-18 1670 1933 1907
2020 24 12-12 1632 1783 1610
2019 61 33-28 1593 1822 1680
2018 49 27-22 1556 1763 1707
2017 35 20-15 1570 1710 1654
2016 47 23-24 1529 1724 1589
2015 5 2-3 1500 1537 1483

Recent matches

WeekTournamentOpponentResult
Aug 30, 2026 Us Open · Hard Mattia Bellucci W 3-0
Darwin Blanch W 3-0
Aug 13, 2026 Cincinnati · Hard Brandon Nakashima L 1-2
Christopher O'Connell W 2-0
Daniel Merida W 2-0
Alex Michelsen W 2-0
Aug 02, 2026 Toronto · Hard Thiago Agustin Tirante L 0-2
Jul 27, 2026 Washington · Hard Brandon Nakashima W 2-1
Alex Michelsen W 2-1
Kamil Majchrzak W 2-0

Serve predictions: how close do we get on Taylor Fritz?

2025 · out-of-sample backtest Aces per match: 12.0 actual vs 10.5 projected
4.21 our average miss per match
4.62 baseline average miss (last five matches)
+9% accuracy edge over the baseline

Comparison covers 58 of the 63 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 Taylor Fritz follow the script?

Straight sets · 2026
SeasonMW-LModel hitUpsetsVerdict
2026 43 31-12 79.1% 9 vs 14.1 exp Straight sets
2025 63 45-18 73.0% 17 vs 20.8 exp On serve
2024 bt 62 44-18 75.8% 15 vs 17.4 exp On serve

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