Game plan
Camila Osorio v Anastasija Sevastova
Every number combines what Camila Osorio does well with what Anastasija Sevastova allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective
Forecast
Each player's serve and return strength is fitted against every opponent they were charted against, so a record built on weak opponents counts for less. At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers. The result is then nudged by Camila Osorio's record against Anastasija Sevastova's tactical lookalikes and in their charted head-to-heads. A game-by-game Markov chain turns point odds into match odds; the 90% range covers the uncertainty in the two strengths, not the nudges. Charted matches lean toward big events, so treat this as a scouting estimate, not a betting line.
Head to head, per 100 shots
| Career | Camila | Anastasija |
|---|---|---|
| Direction choice | −0.19 ±0.11 better than 19% | +0.24 ±0.10 better than 90% |
| Shot selection | −0.69 ±0.25 better than 6% | −0.25 ±0.17 better than 25% |
| Execution | −0.11 ±0.67 better than 56% | +0.04 ±0.48 better than 63% |
| Points left on the table | 2.68 ±0.13 lower than 37% | 2.23 ±0.13 lower than 91% |
Each player's career against an average tour player in the same position, adjusted for opponent strength, with a 90% margin (shots clustered by match). Points left on the table is the gap to the best-value direction for the same stroke, so lower is better. Percentiles are within each player's own tour. A side is highlighted only when the gap is larger than the margin on the difference.
Structural compatibility
Expected edge per 100 rally shots from style alone: Camila Osorio +0.63, Anastasija Sevastova −1.34. Each player's shot mix weighted by their own skill with each shot and by how much the other gives up against it. This is why some rankings gaps don't hold in a given matchup.
Serve plan
The share of points the server wins when a first serve lands in that direction (hover a rate for its 90% interval; ± is the 90% margin). "Matchup" combines the server's rate with how this returner handles that serve. "Optimal" is the mix that wins most against this returner once they start reading a habit, at the response measured across the tour, and only within the range servers' habits actually vary. The gain over the current mix is how exploitable that mix is.
Camila Osorio serving
Deuce court
| 1st serve | Now | Camila wins | v Anastasija | Matchup | Optimal |
|---|---|---|---|---|---|
| Wide | 48% | 67% | 68% | 69.0%±7.8 | 63% ▲ |
| Body | 32% | 57% | 58% | 58.1%±9.7 | 17% ▼ |
| T | 20% | 70% | 70% | 71.9%±9.0 | 20% |
Optimal v Anastasija Sevastova: +0.7±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.9 per 100 first serves in before the returner adjusts.
Ad court
| 1st serve | Now | Camila wins | v Anastasija | Matchup | Optimal |
|---|---|---|---|---|---|
| Wide | 27% | 66% | 72% | 72.4%±8.5 | 43% ▲ |
| Body | 39% | 51% | 59% | 54.1%±10.1 | 24% ▼ |
| T | 34% | 58% | 65% | 58.0%±9.1 | 33% |
Optimal v Anastasija Sevastova: +0.6±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +12.0 per 100 first serves in before the returner adjusts.
Anastasija Sevastova serving
Deuce court
| 1st serve | Now | Anastasija wins | v Camila | Matchup | Optimal |
|---|---|---|---|---|---|
| Wide | 46% | 66% | 65% | 65.1%±7.8 | 52% ▲ |
| Body | 15% | 60% | 52% | 54.5%±11.0 | 0% ▼ |
| T | 39% | 68% | 65% | 64.9%±8.8 | 48% ▲ |
Optimal v Camila Osorio: +0.9±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.6 per 100 first serves in before the returner adjusts.
Ad court
| 1st serve | Now | Anastasija wins | v Camila | Matchup | Optimal |
|---|---|---|---|---|---|
| Wide | 46% | 58% | 63% | 55.7%±8.2 | 46% |
| Body | 23% | 52% | 48% | 43.4%±11.1 | 8% ▼ |
| T | 31% | 61% | 63% | 59.4%±9.6 | 46% ▲ |
Optimal v Camila Osorio: +1.1±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.4 per 100 first serves in before the returner adjusts.
Return plan
Value of each return, in points per 100 returns against an average return of the same serve (direction, court, surface): the tour's result with that return, the returner's own edge with it, and what this server gives up when it comes back to that side. Returns with no charted direction are left out, so values compare with each other rather than with zero. Depth isn't a choice here: missed returns have no depth. Serve quality isn't charted, so a block through the middle partly reflects the serve that forced it.
Camila Osorio returning
1st serve to the forehand
| Return | Now | Tour | Own | v Anastasija | Value |
|---|---|---|---|---|---|
| FH through the middle | 40% | +4.2 | −0.7 | +1.6 | +5.0±2.8 |
| FH slice through the middle | 26% | −6.7 | +0.6 | +0.8 | −5.3±2.5 |
| FH crosscourt | 15% | +5.3 | −0.6 | −0.2 | +4.5±4.4 |
| FH down the line | 9% | +1.5 | −1.8 | +0.8 | +0.6±4.6 |
| FH slice crosscourt | 9% | −6.6 | +1.9 | −2.0 | −6.7±2.4 |
Lean FH through the middle: +4.3±2.0 per 100 returns v the current mix (267 returns charted)
1st serve to the backhand
| Return | Now | Tour | Own | v Anastasija | Value |
|---|---|---|---|---|---|
| BH through the middle | 52% | +6.0 | −2.0 | +1.9 | +6.0±2.5 |
| BH crosscourt | 21% | +7.7 | −1.0 | −0.2 | +6.5±3.6 |
| BH slice through the middle | 11% | −6.2 | −0.4 | −0.7 | −7.3±2.4 |
| BH down the line | 10% | +2.2 | +1.5 | +2.5 | +6.1±4.5 |
| BH slice crosscourt | 6% | −4.2 | +0.5 | −0.9 | −4.5±2.5 |
Lean BH crosscourt: +2.5±3.2 per 100 returns v the current mix (313 returns charted, inside the 90% margin)
2nd serve to the forehand
| Return | Now | Tour | Own | v Anastasija | Value |
|---|---|---|---|---|---|
| FH through the middle | 54% | −3.2 | −2.7 | −1.0 | −6.8±3.1 |
| FH crosscourt | 33% | +0.5 | ±0.0 | +0.5 | +1.0±4.3 |
| FH down the line | 13% | −0.6 | −1.5 | +2.0 | −0.1±4.6 |
Lean FH crosscourt: +4.3±3.4 per 100 returns v the current mix (67 returns charted)
2nd serve to the backhand
| Return | Now | Tour | Own | v Anastasija | Value |
|---|---|---|---|---|---|
| BH through the middle | 38% | −2.6 | +0.3 | +1.0 | −1.3±2.8 |
| BH crosscourt | 33% | +1.5 | +2.2 | +1.0 | +4.7±3.6 |
| BH down the line | 11% | −0.5 | −1.6 | +1.6 | −0.5±4.8 |
| FH inside-in | 8% | +0.7 | −1.5 | +0.5 | −0.3±4.2 |
| FH through the middle | 6% | −2.7 | −0.2 | −1.0 | −3.8±2.3 |
Lean BH crosscourt: +3.8±2.7 per 100 returns v the current mix (141 returns charted)
Anastasija Sevastova returning
1st serve to the forehand
| Return | Now | Tour | Own | v Camila | Value |
|---|---|---|---|---|---|
| FH through the middle | 38% | +4.2 | +0.9 | −1.8 | +3.2±2.8 |
| FH crosscourt | 22% | +5.3 | +1.0 | +2.3 | +8.6±4.4 |
| FH slice through the middle | 16% | −6.7 | +0.6 | +0.4 | −5.7±2.5 |
| FH down the line | 14% | +1.5 | +1.3 | +0.6 | +3.4±4.4 |
| FH slice crosscourt | 6% | −6.6 | −1.4 | ±0.0 | −8.0±1.6 |
Lean FH crosscourt: +6.8±3.6 per 100 returns v the current mix (228 returns charted)
1st serve to the backhand
| Return | Now | Tour | Own | v Camila | Value |
|---|---|---|---|---|---|
| BH through the middle | 38% | +6.0 | +0.6 | −2.2 | +4.4±2.6 |
| BH crosscourt | 30% | +7.7 | −2.4 | −0.2 | +5.2±3.6 |
| BH slice through the middle | 15% | −6.2 | −0.4 | ±0.0 | −6.7±2.3 |
| BH down the line | 9% | +2.2 | −0.8 | −0.3 | +1.1±4.5 |
| BH slice crosscourt | 6% | −4.2 | +0.6 | −0.5 | −4.0±2.5 |
Lean BH crosscourt: +3.3±2.8 per 100 returns v the current mix (247 returns charted)
2nd serve to the backhand
| Return | Now | Tour | Own | v Camila | Value |
|---|---|---|---|---|---|
| BH crosscourt | 51% | +1.5 | −0.3 | −0.3 | +0.8±3.6 |
| BH through the middle | 39% | −2.6 | +0.9 | +0.8 | −0.9±2.8 |
| BH down the line | 10% | −0.5 | −0.4 | −0.1 | −1.0±4.0 |
Lean BH crosscourt: +0.8±2.1 per 100 returns v the current mix (133 returns charted, inside the 90% margin)
Rally plan
Edge, in points per 100 shots: the hitter's skill with the shot (own) plus how much the receiver usually gives up against it (theirs), both measured against the tour average on grass. Each player's grass record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.
Camila Osorio
Favour
| Shot | Edge | Own | Theirs |
|---|---|---|---|
| BH to their forehand · rally | +7.3±4.3 | +5.4 | +1.9 |
| FH to the middle · return +1 | +3.9±2.7 | +2.0 | +1.9 |
| BH to their backhand · return | +3.5±4.1 | +1.2 | +2.2 |
| BH to their backhand · serve +1 | +3.1±4.3 | +1.6 | +1.5 |
| BH to the middle · return | +2.9±3.0 | −0.7 | +3.6 |
| FH to their forehand · rally | +2.5±3.8 | +0.5 | +1.9 |
Avoid
| Shot | Edge | Own | Theirs |
|---|---|---|---|
| FH to their forehand · serve +1 | −4.6±4.6 | −2.9 | −1.7 |
| BH to their forehand · serve +1 | −3.6±4.9 | −3.8 | +0.2 |
| BH to their backhand · rally | −3.1±3.7 | +0.2 | −3.3 |
| FH to their backhand · return | −2.9±5.2 | −4.4 | +1.5 |
| FH to the middle · rally | −2.7±2.8 | −0.7 | −2.1 |
Anastasija Sevastova
Favour
| Shot | Edge | Own | Theirs |
|---|---|---|---|
| FH to their forehand · return | +6.5±4.3 | +2.9 | +3.6 |
| FH to their backhand · serve +1 | +2.3±4.7 | +2.5 | −0.2 |
| FH to their backhand · return +1 | +1.4±4.2 | ±0.0 | +1.4 |
| BH to the middle · serve +1 | +1.3±3.1 | +1.8 | −0.5 |
| BH to their forehand · serve +1 | +1.2±4.9 | +2.3 | −1.2 |
| BH to the middle · return | +1.1±3.1 | +1.3 | −0.3 |
Avoid
| Shot | Edge | Own | Theirs |
|---|---|---|---|
| FH to their forehand · rally | −5.9±3.7 | −4.3 | −1.6 |
| FH to their backhand · rally | −5.3±4.2 | −3.0 | −2.2 |
| BH to their backhand · rally | −5.0±3.7 | −4.1 | −0.9 |
| BH to their backhand · serve +1 | −3.8±4.2 | −0.6 | −3.2 |
| FH to their forehand · return +1 | −3.4±3.8 | −2.4 | −1.1 |
Against Anastasija Sevastova-like opponents
| Camila Osorio v | Matches | Serve pts won | Return pts won |
|---|---|---|---|
| All charted opponents | – | 53.7% | 46.0% |
Similar by tactical fingerprint: Anna Kalinskaya, Linda Klimovicova, Sofia Kenin, Anhelina Kalinina, Petra Martic, Su Wei Hsieh, R, Kiki Bertens, Johanna Konta, Elena Vesnina. When two players have rarely met, their records against these lookalikes fill the gap.