Compare ATP and WTA playing-style matchups
We've classified players into the same 12 style labels, but the matchup win rates are now computed separately for ATP and WTA so the two tours can be compared without mixing data.
ATP
1,157 players · 97,657 matches
WTA
2,221 players · 99,439 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.
The Complete Package vs Pusher
+37 ptsATP 43% · WTA 80%
The Complete Package vs Grinder
+22 ptsATP 45% · WTA 67%
The Complete Package vs The Spoiler
+22 ptsATP 48% · WTA 70%
ATP Matchup Matrix
Win rate for the row archetype against each column archetype. Based on 97,657 historical ATP matches.
| Row vs Col → | 👑TCP | 🤖SRV | 💥BIG | 🏹FRT | 🎯BAS | 🎾ALL | 🪃CNT | ⚔️GLD | 🧱WLL | 🛡️SPL | ⚙️GND | 🏃PSH |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 👑The Complete Package | - | 47% | 46% | 56% | 48% | 43% | 50% | 46% | 51% | 48% | 45% | 43% |
| 🤖Servebot | 53% | - | 50% | 56% | 49% | 58% | 57% | 59% | 59% | 59% | 56% | 66% |
| 💥Big Hitter | 54% | 50% | - | 55% | 49% | 55% | 56% | 56% | 57% | 58% | 55% | 63% |
| 🏹Frontrunner | 44% | 44% | 46% | - | 46% | 50% | 51% | 59% | 59% | 51% | 48% | 61% |
| 🎯Baseliner | 52% | 51% | 51% | 54% | - | 54% | 56% | 58% | 58% | 60% | 55% | 63% |
| 🎾All-Court | 57% | 42% | 45% | 50% | 46% | - | 50% | 57% | 55% | 50% | 50% | 67% |
| 🪃Counterpuncher | 50% | 43% | 44% | 49% | 44% | 50% | - | 54% | 52% | 54% | 50% | 60% |
| ⚔️The Gladiator | 54% | 41% | 44% | 42% | 42% | 43% | 46% | - | 49% | 52% | 48% | 59% |
| 🧱The Wall | 49% | 41% | 43% | 41% | 42% | 45% | 48% | 51% | - | 50% | 49% | 56% |
| 🛡️The Spoiler | 53% | 41% | 42% | 49% | 40% | 50% | 46% | 48% | 50% | - | 48% | 56% |
| ⚙️Grinder | 55% | 44% | 45% | 52% | 45% | 50% | 50% | 52% | 52% | 52% | - | 57% |
| 🏃Pusher | 57% | 34% | 37% | 39% | 38% | 34% | 40% | 41% | 45% | 44% | 43% | - |
WTA Matchup Matrix
Same archetype labels, WTA-only player percentiles and WTA-only historical results. Based on 99,439 historical WTA matches.
| Row vs Col → | 👑TCP | 🤖SRV | 💥BIG | 🏹FRT | 🎯BAS | 🎾ALL | 🪃CNT | ⚔️GLD | 🧱WLL | 🛡️SPL | ⚙️GND | 🏃PSH |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 👑The Complete Package | - | 59% | 57% | 56% | 61% | 63% | 58% | 59% | 68% | 70% | 67% | 80% |
| 🤖Servebot | 41% | - | 48% | 48% | 54% | 52% | 54% | 54% | 56% | 58% | 60% | 67% |
| 💥Big Hitter | 43% | 52% | - | 51% | 51% | 54% | 52% | 52% | 63% | 63% | 64% | 74% |
| 🏹Frontrunner | 44% | 52% | 49% | - | 53% | 56% | 60% | 61% | 69% | 67% | 62% | 75% |
| 🎯Baseliner | 39% | 47% | 50% | 47% | - | 57% | 53% | 59% | 63% | 53% | 55% | 67% |
| 🎾All-Court | 37% | 48% | 46% | 44% | 43% | - | 49% | 49% | 62% | 60% | 68% | 75% |
| 🪃Counterpuncher | 42% | 46% | 48% | 41% | 47% | 51% | - | 49% | 63% | 67% | 64% | 78% |
| ⚔️The Gladiator | 42% | 46% | 48% | 39% | 42% | 51% | 51% | - | 63% | 67% | 62% | 77% |
| 🧱The Wall | 32% | 44% | 37% | 31% | 37% | 39% | 37% | 37% | - | 55% | 58% | 73% |
| 🛡️The Spoiler | 31% | 42% | 37% | 33% | 47% | 40% | 33% | 33% | 45% | - | 53% | 66% |
| ⚙️Grinder | 33% | 40% | 36% | 38% | 45% | 32% | 36% | 38% | 42% | 47% | - | 65% |
| 🏃Pusher | 20% | 33% | 26% | 25% | 33% | 25% | 22% | 23% | 27% | 34% | 35% | - |
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.
1,157
ATP classified
2,221
WTA classified