Compare ATP and WTA playing-style matchups
ATP
3,717 players · 50,502 matches
WTA
3,535 players · 105,381 matches
The 12 Archetypes
Click any card to highlight that archetype in the matchup matrix below.
ATP vs WTA delta
How do playing styles differ between ATP and WTA?
The biggest difference is around The Complete Package: on ATP, defensive archetypes like The Spoiler, Grinder, and Pusher can keep those matchups close or even positive.
In the WTA, Complete Package players like Madison Keys, Elina Svitolina, and Belinda Bencic separate much more clearly, winning those same style matchups at a far higher rate.
Frontrunner vs The Wall
+23 ptsATP 48% · WTA 71%
The Gladiator vs Grinder
+17 ptsATP 49% · WTA 66%
Counterpuncher vs The Spoiler
+16 ptsATP 50% · WTA 66%
ATP Matchup Matrix
Win rate for the row archetype against each column archetype. Based on 50,502 historical ATP matches.
| Row vs Col → | 👑TCP | 🤖SRV | 💥BIG | 🏹FRT | 🎯BAS | 🎾ALL | 🪃CNT | ⚔️GLD | 🧱WLL | 🛡️SPL | ⚙️GND | 🏃PSH |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 👑The Complete Package | - | 48% | 47% | 49% | 47% | 55% | 53% | 53% | 53% | 67% | 53% | - |
| 🤖Servebot | 52% | - | 51% | 54% | 53% | 54% | 55% | 58% | 62% | 56% | 56% | - |
| 💥Big Hitter | 53% | 49% | - | 51% | 51% | 52% | 52% | 55% | 57% | 60% | 55% | - |
| 🏹Frontrunner | 51% | 46% | 50% | - | 48% | 52% | 52% | 63% | 48% | 56% | 52% | - |
| 🎯Baseliner | 53% | 48% | 49% | 52% | - | 48% | 54% | 54% | 52% | 54% | 55% | - |
| 🎾All-Court | 46% | 46% | 48% | 48% | 52% | - | 51% | 51% | 58% | 56% | 54% | - |
| 🪃Counterpuncher | 47% | 45% | 48% | 48% | 46% | 49% | - | 53% | 55% | 50% | 52% | - |
| ⚔️The Gladiator | 47% | 42% | 45% | 37% | 46% | 49% | 47% | - | 52% | 60% | 49% | - |
| 🧱The Wall | 47% | 38% | 43% | 52% | 48% | 42% | 45% | 48% | - | 53% | 50% | - |
| 🛡️The Spoiler | 33% | 44% | 40% | 44% | 46% | 44% | 50% | 40% | 47% | - | 49% | - |
| ⚙️Grinder | 47% | 44% | 45% | 48% | 45% | 46% | 48% | 51% | 50% | 51% | - | - |
| 🏃Pusher | - | - | - | - | - | - | - | - | - | - | - | - |
WTA Matchup Matrix
Same archetype labels, WTA-only player percentiles and WTA-only historical results. Based on 105,381 historical WTA matches.
| Row vs Col → | 👑TCP | 🤖SRV | 💥BIG | 🏹FRT | 🎯BAS | 🎾ALL | 🪃CNT | ⚔️GLD | 🧱WLL | 🛡️SPL | ⚙️GND | 🏃PSH |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 👑The Complete Package | - | 54% | 52% | 49% | 48% | 57% | 54% | 57% | 67% | 66% | 68% | 84% |
| 🤖Servebot | 46% | - | 51% | 48% | 55% | 56% | 52% | 52% | 53% | 56% | 56% | 69% |
| 💥Big Hitter | 48% | 49% | - | 50% | 56% | 53% | 53% | 53% | 60% | 61% | 60% | 75% |
| 🏹Frontrunner | 51% | 52% | 50% | - | 49% | 53% | 54% | 59% | 71% | 59% | 66% | 74% |
| 🎯Baseliner | 52% | 45% | 44% | 51% | - | 46% | 55% | 53% | 48% | 61% | 64% | 73% |
| 🎾All-Court | 43% | 44% | 47% | 47% | 54% | - | 49% | 54% | 59% | 60% | 61% | 81% |
| 🪃Counterpuncher | 46% | 48% | 47% | 46% | 45% | 51% | - | 51% | 61% | 66% | 66% | 83% |
| ⚔️The Gladiator | 43% | 48% | 47% | 41% | 48% | 46% | 49% | - | 60% | 64% | 66% | 80% |
| 🧱The Wall | 33% | 47% | 41% | 29% | 52% | 42% | 39% | 40% | - | 53% | 56% | 73% |
| 🛡️The Spoiler | 34% | 44% | 39% | 42% | 39% | 40% | 34% | 36% | 47% | - | 55% | 73% |
| ⚙️Grinder | 32% | 44% | 40% | 35% | 36% | 39% | 34% | 34% | 44% | 45% | - | 70% |
| 🏃Pusher | 16% | 31% | 25% | 26% | 28% | 19% | 17% | 20% | 27% | 27% | 30% | - |
How archetypes add context
Each player is assigned an archetype from serve and return statistics - ace rate, service points won, return points won, and break point conversion. ATP and WTA percentiles are computed independently, so a WTA Servebot is defined against the WTA distribution, not the ATP one.
When two players are matched up, the historical win rate between their archetypes can be used as a context layer on top of the predictions. ATP uses the matrix across qualifying picks; WTA applies its tour-specific matrix to 6/6-consensus picks.
The separate WTA matrix is useful precisely because the tour behaves differently: some style pairings that are neutral on ATP become meaningful in WTA, and some ATP edges flatten out.
3,717
ATP classified
3,535
WTA classified