Game plan
Gabriela Sabatini v Conchita Martinez
Every number combines what Gabriela Sabatini does well with what Conchita Martinez 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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Gabriela Sabatini's record against Conchita Martinez's tactical lookalikes and in their charted head-to-heads (lookalikes: −1.9 on serve, −0.2 on return vs expectation (1207 points)). 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 | Gabriela | Conchita |
|---|---|---|
| Direction choice | +0.07 ±0.21 better than 69% | +0.23 ±0.15 better than 88% |
| Shot selection | −0.44 ±0.25 better than 13% | −0.92 ±0.32 better than 4% |
| Execution | +0.70 ±0.72 better than 85% | +1.03 ±0.87 better than 93% |
| Points left on the table | 3.01 ±0.32 lower than 11% | 2.70 ±0.22 lower than 34% |
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.
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.
Gabriela Sabatini serving
Deuce court
| 1st serve | Now | Gabriela wins | v Conchita | Matchup | Optimal |
|---|---|---|---|---|---|
| Wide | 32% | 63% | 72% | 69.8%±9.6 | 47% ▲ |
| Body | 24% | 62% | 59% | 63.3%±11.6 | 20% ▼ |
| T | 44% | 62% | 64% | 57.7%±10.7 | 33% ▼ |
Optimal v Conchita Martinez: +0.9±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +7.0 per 100 first serves in before the returner adjusts.
Ad court
| 1st serve | Now | Gabriela wins | v Conchita | Matchup | Optimal |
|---|---|---|---|---|---|
| Wide | 51% | 64% | 66% | 64.8%±8.9 | 66% ▲ |
| Body | 18% | 65% | 50% | 59.2%±13.2 | 3% ▼ |
| T | 31% | 60% | 67% | 62.3%±12.5 | 31% |
Optimal v Conchita Martinez: +0.5±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.8 per 100 first serves in before the returner adjusts.
Conchita Martinez serving
Deuce court
| 1st serve | Now | Conchita wins | v Gabriela | Matchup | Optimal |
|---|---|---|---|---|---|
| Wide | 46% | 58% | 59% | 50.1%±9.3 | 46% |
| Body | 20% | 52% | 48% | 43.1%±11.7 | 5% ▼ |
| T | 34% | 63% | 64% | 58.8%±11.3 | 49% ▲ |
Optimal v Gabriela Sabatini: +0.9±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +7.1 per 100 first serves in before the returner adjusts.
Ad court
| 1st serve | Now | Conchita wins | v Gabriela | Matchup | Optimal |
|---|---|---|---|---|---|
| Wide | 55% | 55% | 62% | 50.4%±8.8 | 54% ▼ |
| Body | 14% | 59% | 53% | 55.9%±13.6 | 0% ▼ |
| T | 31% | 57% | 58% | 50.6%±12.1 | 46% ▲ |
Optimal v Gabriela Sabatini: +0.3±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +4.7 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.
Gabriela Sabatini returning
1st serve to the forehand
| Return | Now | Tour | Own | v Conchita | Value |
|---|---|---|---|---|---|
| FH through the middle | 38% | +4.2 | −1.1 | ±0.0 | +3.1±3.1 |
| FH down the line | 33% | +1.5 | +2.8 | +1.3 | +5.6±4.7 |
| FH slice through the middle | 14% | −6.7 | +2.0 | +0.5 | −4.3±2.2 |
| FH crosscourt | 9% | +5.3 | +2.2 | +1.8 | +9.3±4.1 |
| FH slice down the line | 7% | −10.5 | +2.6 | ±0.0 | −7.9±2.0 |
Lean FH crosscourt: +6.7±4.2 per 100 returns v the current mix (210 returns charted)
1st serve to the backhand
| Return | Now | Tour | Own | v Conchita | Value |
|---|---|---|---|---|---|
| BH slice crosscourt | 29% | −4.2 | +3.6 | +4.5 | +3.9±3.0 |
| BH slice through the middle | 26% | −6.2 | +3.9 | +2.8 | +0.5±2.5 |
| BH through the middle | 24% | +6.0 | −6.6 | −1.8 | −2.4±3.0 |
| BH crosscourt | 10% | +7.7 | ±0.0 | +1.3 | +9.1±3.6 |
| BH down the line | 8% | +2.2 | −1.2 | +2.6 | +3.6±3.7 |
Lean BH crosscourt: +7.5±3.5 per 100 returns v the current mix (257 returns charted)
2nd serve to the forehand
| Return | Now | Tour | Own | v Conchita | Value |
|---|---|---|---|---|---|
| FH down the line | 40% | −0.6 | +4.1 | +1.6 | +5.1±4.8 |
| FH through the middle | 30% | −3.2 | +0.9 | −1.4 | −3.7±2.9 |
| FH slice through the middle | 13% | −15.2 | +2.2 | ±0.0 | −13.0±1.5 |
| FH crosscourt | 10% | +0.5 | +1.6 | +0.9 | +3.0±3.6 |
| FH slice down the line | 7% | −14.1 | +3.5 | ±0.0 | −10.6±1.6 |
Lean FH down the line: +6.2±3.1 per 100 returns v the current mix (92 returns charted)
2nd serve to the backhand
| Return | Now | Tour | Own | v Conchita | Value |
|---|---|---|---|---|---|
| FH inside-out | 26% | +1.4 | +0.1 | +1.6 | +3.0±3.8 |
| BH slice crosscourt | 19% | −7.5 | +3.6 | +3.6 | −0.3±2.7 |
| BH crosscourt | 15% | +1.5 | +0.7 | −0.1 | +2.1±3.3 |
| BH through the middle | 12% | −2.6 | +0.2 | −0.9 | −3.3±2.4 |
| BH slice through the middle | 11% | −11.7 | +0.8 | +0.6 | −10.3±2.0 |
Lean FH inside-out: +3.9±3.0 per 100 returns v the current mix (84 returns charted)
Conchita Martinez returning
1st serve to the forehand
| Return | Now | Tour | Own | v Gabriela | Value |
|---|---|---|---|---|---|
| FH through the middle | 49% | +4.2 | −0.4 | −2.2 | +1.5±3.1 |
| FH down the line | 34% | +1.5 | +2.0 | +1.5 | +5.1±4.7 |
| FH crosscourt | 17% | +5.3 | +2.9 | +2.5 | +10.7±4.0 |
Lean FH crosscourt: +6.4±4.0 per 100 returns v the current mix (106 returns charted)
1st serve to the backhand
| Return | Now | Tour | Own | v Gabriela | Value |
|---|---|---|---|---|---|
| BH slice through the middle | 36% | −6.2 | −1.1 | +0.4 | −6.9±2.5 |
| BH slice crosscourt | 28% | −4.2 | +3.8 | +3.8 | +3.4±3.0 |
| BH slice down the line | 12% | −12.5 | +3.1 | +2.9 | −6.5±3.3 |
| BH through the middle | 10% | +6.0 | +0.5 | −2.3 | +4.2±2.8 |
| BH crosscourt | 9% | +7.7 | +0.3 | +1.2 | +9.2±3.3 |
Lean BH crosscourt: +10.0±3.3 per 100 returns v the current mix (165 returns charted)
2nd serve to the forehand
| Return | Now | Tour | Own | v Gabriela | Value |
|---|---|---|---|---|---|
| FH down the line | 47% | −0.6 | +3.3 | +0.2 | +3.0±5.1 |
| FH crosscourt | 29% | +0.5 | −0.2 | +4.5 | +4.9±4.1 |
| FH through the middle | 24% | −3.2 | −0.1 | +0.4 | −2.9±2.8 |
Lean FH down the line: +0.9±3.0 per 100 returns v the current mix (49 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.
Gabriela Sabatini
Favour
| Shot | Edge | Own | Theirs |
|---|---|---|---|
| BH slice to their backhand · return | +10.7±2.9 | +5.5 | +5.2 |
| BH slice to their backhand · rally | +8.5±2.3 | +5.6 | +2.9 |
| BH slice to their backhand · return +1 | +8.2±2.9 | +4.6 | +3.6 |
| BH slice to the middle · return | +5.9±2.4 | +3.7 | +2.1 |
| BH slice to their forehand · rally | +5.8±3.6 | +2.2 | +3.6 |
| BH slice to the middle · rally | +4.7±2.4 | +3.5 | +1.2 |
Avoid
| Shot | Edge | Own | Theirs |
|---|---|---|---|
| BH to the middle · return | −5.3±2.8 | −3.4 | −1.8 |
| BH to their backhand · rally | −3.6±2.7 | −0.9 | −2.7 |
| FH to their forehand · serve +1 | −3.4±4.3 | ±0.0 | −3.4 |
| FH to their backhand · serve +1 | −2.8±4.1 | −1.5 | −1.3 |
| FH to their backhand · return +1 | −2.0±4.3 | −1.1 | −0.9 |
Conchita Martinez
Favour
| Shot | Edge | Own | Theirs |
|---|---|---|---|
| BH slice to their backhand · return | +9.1±3.0 | +4.6 | +4.5 |
| BH slice to their forehand · rally | +8.0±3.3 | +3.9 | +4.1 |
| BH slice to their backhand · return +1 | +5.8±2.9 | +1.0 | +4.8 |
| BH slice to their backhand · rally | +5.7±2.1 | +1.1 | +4.6 |
| FH to their backhand · return | +4.1±4.2 | +3.1 | +1.0 |
| BH slice to the middle · rally | +1.7±2.2 | −0.2 | +2.0 |
Avoid
| Shot | Edge | Own | Theirs |
|---|---|---|---|
| BH to the middle · rally | −4.5±2.5 | −1.0 | −3.4 |
| FH to their forehand · serve +1 | −3.1±3.9 | +0.1 | −3.3 |
| FH to the middle · return | −2.6±2.9 | −1.1 | −1.5 |
| FH to their backhand · rally | −2.5±3.0 | −0.5 | −2.1 |
| FH to their forehand · rally | −1.5±2.8 | +0.3 | −1.8 |
Against Conchita Martinez-like opponents
| Gabriela Sabatini v | Matches | Serve pts won | Return pts won |
|---|---|---|---|
| All charted opponents | – | 56.2% | 46.4% |
| Players most similar to Conchita Martinez | 8 | 53.8% | 43.9% |
Similar by tactical fingerprint: Daria Kasatkina, Daria Saville, Kirsten Flipkens, Svetlana Kuznetsova, Francesca Schiavone, Martina Hingis, Arantxa Sanchez Vicario, Steffi Graf, Chris Evert. When two players have rarely met, their records against these lookalikes fill the gap.