The ATP Tour Tennis Betting Stats Hub is built for bettors who care less about hype and more about what actually wins and loses money over a full season. Rather than focusing on rankings, trophies, or media narratives, this hub tracks how ATP players perform through the betting markets themselves.
Tennis betting isn’t just about predicting winners. It’s about understanding pricing, volatility, and return on investment across different match contexts.
A player can win 70% of their matches and still be unprofitable if the market consistently overprices them. Conversely, lower-ranked players can quietly become long-term assets when odds lag behind performance.
This hub exists to surface those edges.
Inside, you’ll find season-long betting data, including:
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Most profitable ATP players for bettors
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The biggest ATP betting upsets of the year
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Underdog victories that produced sustained value
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Set-level extremes, such as bagels and breadsticks, that expose mismatch pricing
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Next Gen ATP betting performance and futures-oriented previews
Rather than cherry-picking individual matches, every article in this hub is grounded in sample size, trend durability, and market behavior. The focus stays on repeatable betting signals, not one-off shock results or hindsight narratives.
This hub also pays close attention to how matches are won, not just who wins them. Straight-set blowouts, early-round mismatches, and sudden scoreline collapses often tell bettors more about market inefficiencies than tight three-set battles between evenly priced opponents. That’s why scoreline-based studies and set-margin analysis play a key role here.
You won’t find tout language or “lock” claims. The goal is clarity, accountability, and long-term perspective — whether you’re betting match winners, spreads, totals, or selectively targeting underdogs.
If you’re looking for ATP betting content rooted in data, discipline, and market realism, this hub is designed to be a year-round reference point.
Bookmark it, revisit it often, and use it as a framework, not a shortcut, for smarter tennis betting decisions.
All linked articles and tables below are built for tennis bettors and updated throughout the season to identify grinders, closers, and high-risk marathon players.
Related ATP Tour Tennis Betting Stats Analysis
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- Five ATP Players Who Underachieved in 2025
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- The Bettor Angle: Five early round Grand Slam Under prospects
- 2025 Australian Open: 10 Biggest Men’s Upsets
How to Use ATP Tour Betting Stats
This ATP Tour tennis betting stats table is designed as a betting reference tool, not a player rankings list. It tracks how often ATP matches go Over the best-of-three sets match total and how frequently best-of-three matches require a deciding set.
Rather than asking “Who is the better player?”, this data helps bettors answer more actionable questions:
- Is this best-of-three match likely to go the distance?
- Is the match more likely to finish Over the Oddsmakers’ match total?
- Does one player consistently struggle to close matches in straight sets?
Use these percentages and ATP Tour tennis betting stats to identify match length tendencies, spot pricing inefficiencies, and support Over/Under decisions—especially when paired with surface, matchup, and form analysis.
ATP Tour Career Over/Under 2.5 Sets Betting Profiles
| Player | Country | Matches | Over % | Under % | Deciders |
|---|---|---|---|---|---|
| Novak Djokovic | Serbia | 624 | 87.18% | 12.82% | 76 |
| Carlos Alcaraz | Spain | 301 | 82.06% | 17.94% | 39 |
| Jannik Sinner | Italy | 357 | 78.99% | 21.01% | 37 |
| Daniil Medvedev | Russia | 525 | 70.86% | 29.14% | 74 |
| Alexander Zverev | Germany | 645 | 70.54% | 29.46% | 68 |
| Stefanos Tsitsipas | Greece | 480 | 66.67% | 33.33% | 41 |
| Casper Ruud | Norway | 378 | 65.08% | 34.92% | 12 |
| Taylor Fritz | USA | 488 | 60.86% | 39.14% | 70 |
| Jack Draper | Great Britain | 147 | 68.71% | 31.29% | 27 |
| Nick Kyrgios | Australia | 280 | 66.43% | 33.57% | 47 |
| Matteo Berrettini | Italy | 286 | 65.38% | 34.62% | 53 |
| Andrey Rublev | Russia | 517 | 64.22% | 35.78% | 35 |
| Holger Rune | Denmark | 249 | 63.86% | 36.14% | 21 |
| Grigor Dimitrov | Bulgaria | 576 | 63.54% | 36.46% | 52 |
| Hubert Hurkacz | Poland | 328 | 61.59% | 38.41% | 39 |
| Stan Wawrinka | Switzerland | 421 | 61.52% | 38.48% | 37 |
| Felix Auger-Aliassime | Canada | 380 | 61.05% | 38.95% | 43 |
| Ben Shelton | USA | 175 | 59.43% | 40.57% | 23 |
| Tommy Paul | USA | 322 | 59.32% | 40.68% | 39 |
| Lorenzo Musetti | Italy | 272 | 58.82% | 41.18% | 27 |
| Karen Khachanov | Russia | 496 | 57.46% | 42.54% | 48 |
| Cameron Norrie | Great Britain | 383 | 57.44% | 42.56% | 48 |
| David Goffin | Belgium | 500 | 57.40% | 42.60% | 46 |
| Jenson Brooksby | USA | 112 | 57.14% | 42.86% | 20 |
| Richard Gasquet | France | 433 | 56.81% | 43.19% | 53 |
| Tomas Machac | Czech Republic | 104 | 56.73% | 43.27% | 9 |
| Jiri Lehecka | Czech Republic | 165 | 56.36% | 43.64% | 19 |
| Pablo Carreno Busta | Spain | 451 | 55.21% | 44.79% | 19 |
| Francisco Cerundolo | Argentina | 224 | 54.91% | 45.09% | 17 |
| Denis Shapovalov | Canada | 382 | 54.71% | 45.29% | 44 |
| Diego Schwartzman | Argentina | 429 | 54.55% | 45.45% | 26 |
| Fabio Fognini | Italy | 470 | 54.26% | 45.74% | 33 |
| Learner Tien | USA | 59 | 54.24% | 45.76% | 6 |
| Joao Fonseca | Brazil | 48 | 54.17% | 45.83% | 7 |
| Flavio Cobolli | Italy | 123 | 53.66% | 46.34% | 16 |
| Cristian Garin | Chile | 217 | 53.46% | 46.54% | 21 |
| Alejandro Davidovich Fokina | Spain | 279 | 53.05% | 46.95% | 21 |
| Ugo Humbert | France | 281 | 53.02% | 46.98% | 51 |
| Alexander Bublik | Kazakhstan | 321 | 52.65% | 47.35% | 55 |
| Frances Tiafoe | USA | 411 | 52.31% | 47.69% | 43 |
| Reilly Opelka | USA | 222 | 52.25% | 47.75% | 25 |
| Juncheng Shang | China | 67 | 52.24% | 47.76% | 5 |
| Borna Coric | Croatia | 371 | 51.75% | 48.25% | 24 |
| Tallon Griekspoor | Netherlands | 203 | 51.72% | 48.28% | 32 |
| Brandon Nakashima | USA | 221 | 51.58% | 48.42% | 33 |
| Luciano Darderi | Italy | 103 | 51.46% | 48.54% | 11 |
| Lucas Pouille | France | 255 | 50.98% | 49.02% | 33 |
| Fabian Marozsan | Hungary | 114 | 50.88% | 49.12% | 11 |
| Sebastian Baez | Argentina | 195 | 50.77% | 49.23% | 10 |
| Alex Michelsen | USA | 119 | 50.42% | 49.58% | 25 |
| Alejandro Tabilo | Chile | 123 | 50.41% | 49.59% | 13 |
| Marton Fucsovics | Hungary | 300 | 50.00% | 50.00% | 35 |
| Gabriel Diallo | Canada | 66 | 50.00% | 50.00% | 14 |
| Matteo Arnaldi | Italy | 123 | 48.78% | 51.22% | 6 |
| Laslo Djere | Serbia | 292 | 48.63% | 51.37% | 25 |
| Hamad Medjedovic | Serbia | 60 | 48.33% | 51.67% | 6 |
| Miomir Kecmanovic | Serbia | 317 | 48.26% | 51.74% | 36 |
| Botic van de Zandschulp | Netherlands | 191 | 48.17% | 51.83% | 21 |
| Nicolas Jarry | Chile | 219 | 47.95% | 52.05% | 24 |
| Adrian Mannarino | France | 554 | 47.65% | 52.35% | 108 |
| Arthur Rinderknech | France | 191 | 47.64% | 52.36% | 29 |
| Dominic Stricker | Switzerland | 42 | 47.62% | 52.38% | 8 |
| Lorenzo Sonego | Italy | 337 | 47.48% | 52.52% | 47 |
| Yoshihito Nishioka | Japan | 270 | 47.41% | 52.59% | 16 |
| Jordan Thompson | Australia | 303 | 47.19% | 52.81% | 62 |
| Filip Misolic | Austria | 34 | 47.06% | 52.94% | 1 |
| Yannick Hanfmann | Germany | 166 | 46.99% | 53.01% | 19 |
| Daniel Evans | Great Britain | 281 | 46.98% | 53.02% | 41 |
| Wu Yibing | China | 49 | 46.94% | 53.06% | 5 |
| Kwon Soon-woo | South Korea | 113 | 46.90% | 53.10% | 9 |
| Jeffery John Wolf | USA | 97 | 46.39% | 53.61% | 6 |
| Jan-Lennard Struff | Germany | 441 | 46.26% | 53.74% | 59 |
| Gijs Brouwer | Netherlands | 26 | 46.15% | 53.85% | 8 |
| Eliot Spizzirri | USA | 13 | 46.15% | 53.85% | 3 |
| Zhizhen Zhang | China | 113 | 46.02% | 53.98% | 14 |
| Lloyd Harris | South Africa | 137 | 45.99% | 54.01% | 20 |
| Giovanni Mpetshi Perricard | France | 74 | 45.95% | 54.05% | 12 |
| Marcos Giron | USA | 262 | 45.80% | 54.20% | 37 |
| Thanasi Kokkinakis | Australia | 153 | 45.75% | 54.25% | 11 |
| Nikoloz Basilashvili | Georgia | 300 | 45.67% | 54.33% | 35 |
| Nuno Borges | Portugal | 138 | 45.65% | 54.35% | 14 |
| Facundo Diaz Acosta | Argentina | 46 | 45.65% | 54.35% | 1 |
| Benjamin Bonzi | France | 128 | 45.31% | 54.69% | 21 |
| Albert Ramos-Viñolas | Spain | 466 | 45.28% | 54.72% | 19 |
| Tomas Martin Etcheverry | Argentina | 173 | 45.09% | 54.91% | 14 |
| Arthur Cazaux | France | 60 | 45.00% | 55.00% | 5 |
| Valentin Royer | France | 20 | 45.00% | 55.00% | 1 |
| Corentin Moutet | France | 198 | 44.95% | 55.05% | 26 |
| Jesper De Jong | Netherlands | 38 | 44.74% | 55.26% | 5 |
| Kamil Majchrzak | Poland | 74 | 44.59% | 55.41% | 11 |
| Juan Manuel Cerundolo | Argentina | 54 | 44.44% | 55.56% | 1 |
| Damir Dzumhur | Bosnia and Herzegovina | 266 | 44.36% | 55.64% | 19 |
| Michael Mmoh | USA | 70 | 44.29% | 55.71% | 4 |
| Zizou Bergs | Belgium | 91 | 43.96% | 56.04% | 12 |
| Dominik Koepfer | Germany | 121 | 43.80% | 56.20% | 14 |
| Benoit Paire | France | 379 | 43.80% | 56.20% | 37 |
| Pavel Kotov | Russia | 80 | 43.75% | 56.25% | 4 |
| Roberto Carballes Baena | Spain | 279 | 43.73% | 56.27% | 18 |
| Mackenzie McDonald | USA | 245 | 43.67% | 56.33% | 38 |
| Dusan Lajovic | Serbia | 409 | 43.52% | 56.48% | 24 |
| Thiago Agustin Tirante | Argentina | 23 | 43.48% | 56.52% | 0 |
| Alexander Shevchenko | Russia | 106 | 43.40% | 56.60% | 5 |
| Thiago Seyboth Wild | Brazil | 83 | 43.37% | 56.63% | 4 |
| Yosuke Watanuki | Japan | 37 | 43.24% | 56.76% | 4 |
| Pierre-Hugues Herbert | France | 229 | 43.23% | 56.77% | 29 |
| Francisco Comesana | Argentina | 51 | 43.14% | 56.86% | 5 |
| Juan Pablo Varillas | Peru | 58 | 43.10% | 56.90% | 1 |
| Alexandre Muller | France | 116 | 43.10% | 56.90% | 7 |
| Jaume Munar | Spain | 258 | 43.02% | 56.98% | 19 |
| Mariano Navone | Argentina | 77 | 42.86% | 57.14% | 5 |
| Titouan Droguet | France | 7 | 42.86% | 57.14% | 0 |
| Dino Prizmic | Croatia | 14 | 42.86% | 57.14% | 0 |
| Henrique Rocha | Portugal | 7 | 42.86% | 57.14% | 0 |
| Ignacio Buse | Peru | 7 | 42.86% | 57.14% | 0 |
| Roman Safiullin | Russia | 122 | 42.62% | 57.38% | 17 |
| Sebastian Ofner | Austria | 105 | 41.90% | 58.10% | 18 |
| Dalibor Svrcina | Czech Republic | 12 | 41.67% | 58.33% | 0 |
| Alexei Popyrin | Australia | 221 | 41.18% | 58.82% | 24 |
| Jacob Fearnley | Great Britain | 39 | 41.03% | 58.97% | 10 |
| Maxime Cressy | USA | 93 | 40.86% | 59.14% | 24 |
| Pedro Martinez | Spain | 191 | 40.84% | 59.16% | 14 |
| Federico Coria | Argentina | 125 | 40.80% | 59.20% | 4 |
| Aleksandar Vukic | Australia | 135 | 40.74% | 59.26% | 23 |
| Camilo Ugo Carabelli | Argentina | 52 | 40.38% | 59.62% | 3 |
| Thiago Monteiro | Brazil | 194 | 40.21% | 59.79% | 9 |
| Andrea Vavassori | Italy | 20 | 40.00% | 60.00% | 2 |
| Lukas Klein | Slovakia | 25 | 40.00% | 60.00% | 3 |
| Raphael Collignon | Belgium | 15 | 40.00% | 60.00% | 1 |
| Billy Harris | Great Britain | 25 | 40.00% | 60.00% | 16 |
| Kyrian Jacquet | France | 5 | 40.00% | 60.00% | 0 |
| Justin Engel | Germany | 10 | 40.00% | 60.00% | 4 |
| Christopher O’Connell | Australia | 143 | 39.86% | 60.14% | 13 |
| Max Purcell | Australia | 79 | 39.24% | 60.76% | 19 |
| Mikhail Kukushkin | Kazakhstan | 245 | 39.18% | 60.82% | 31 |
| Mattia Bellucci | Italy | 41 | 39.02% | 60.98% | 7 |
| Christopher Eubanks | USA | 108 | 38.89% | 61.11% | 26 |
| Marco Trungelliti | Argentina | 36 | 38.89% | 61.11% | 1 |
| Rinky Hijikata | Australia | 85 | 38.82% | 61.18% | 17 |
| Carlos Taberner | Spain | 44 | 38.64% | 61.36% | 1 |
| James Duckworth | Australia | 171 | 38.60% | 61.40% | 32 |
| Radu Albot | Moldova | 221 | 38.01% | 61.99% | 24 |
| Liam Broady | Great Britain | 50 | 38.00% | 62.00% | 26 |
| Hugo Gaston | France | 108 | 37.96% | 62.04% | 7 |
| Daniel Elahi Galan | Colombia | 116 | 37.93% | 62.07% | 10 |
| Bu Yunchaokete | China | 53 | 37.74% | 62.26% | 2 |
| Gregoire Barrere | France | 102 | 37.25% | 62.75% | 13 |
| Otto Virtanen | Finland | 19 | 36.84% | 63.16% | 3 |
| Daniel Altmaier | Germany | 166 | 36.75% | 63.25% | 18 |
| Jurij Rodionov | Austria | 33 | 36.36% | 63.64% | 6 |
| Roman Andres Burruchaga | Argentina | 11 | 36.36% | 63.64% | 0 |
| Alibek Kachmazov | Russia | 11 | 36.36% | 63.64% | 0 |
| Vit Kopriva | Czech Republic | 36 | 36.11% | 63.89% | 2 |
| Terence Atmane | France | 28 | 35.71% | 64.29% | 0 |
| Tristan Boyer | USA | 14 | 35.71% | 64.29% | 0 |
| Facundo Bagnis | Argentina | 121 | 35.54% | 64.46% | 5 |
| Ethan Quinn | USA | 37 | 35.14% | 64.86% | 8 |
| Tristan Schoolkate | Australia | 20 | 35.00% | 65.00% | 1 |
| Nishesh Basavareddy | USA | 20 | 35.00% | 65.00% | 3 |
| Quentin Halys | France | 129 | 34.88% | 65.12% | 17 |
| Marc-Andrea Huesler | Switzerland | 69 | 34.78% | 65.22% | 8 |
| Taro Daniel | Japan | 220 | 34.55% | 65.45% | 10 |
| Bernabe Zapata Miralles | Spain | 90 | 34.44% | 65.56% | 6 |
| Pedro Cachin | Argentina | 70 | 34.29% | 65.71% | 2 |
| Adam Walton | Australia | 47 | 34.04% | 65.96% | 6 |
| Aleksandar Kovacevic | USA | 83 | 33.73% | 66.27% | 7 |
| Luca Van Assche | France | 51 | 33.33% | 66.67% | 4 |
| Nicolas Moreno De Alboran | USA | 18 | 33.33% | 66.67% | 0 |
| Francesco Passaro | Italy | 27 | 33.33% | 66.67% | 0 |