Game plan
Emma Navarro v Magdalena Frech
Every number combines what Emma Navarro does well with what Magdalena Frech 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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Emma Navarro's record against Magdalena Frech'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 | Emma | Magdalena |
|---|---|---|
| Direction choice | −0.07 ±0.08 better than 40% | +0.14 ±0.09 better than 78% |
| Shot selection | −0.14 ±0.13 better than 33% | −0.42 ±0.11 better than 15% |
| Execution | +0.65 ±0.53 better than 84% | +1.36 ±0.49 better than 96% |
| Points left on the table | 2.56 ±0.11 lower than 58% | 2.39 ±0.15 lower than 78% |
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: Emma Navarro +1.86, Magdalena Frech +1.96. 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.
Emma Navarro serving
Deuce court
| 1st serve | Now | Emma wins | v Magdalena | Matchup | Optimal |
|---|---|---|---|---|---|
| Wide | 46% | 61% | 68% | 63.4%±6.9 | 45% |
| Body | 25% | 60% | 57% | 59.6%±8.3 | 10% ▼ |
| T | 29% | 65% | 71% | 68.9%±7.7 | 45% ▲ |
Optimal v Magdalena Frech: +0.8±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.9 per 100 first serves in before the returner adjusts.
Ad court
| 1st serve | Now | Emma wins | v Magdalena | Matchup | Optimal |
|---|---|---|---|---|---|
| Wide | 41% | 64% | 66% | 64.4%±7.3 | 41% |
| Body | 21% | 58% | 61% | 62.4%±8.8 | 6% ▼ |
| T | 38% | 60% | 68% | 63.6%±7.6 | 53% ▲ |
Optimal v Magdalena Frech: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +0.7 per 100 first serves in before the returner adjusts.
Magdalena Frech serving
Deuce court
| 1st serve | Now | Magdalena wins | v Emma | Matchup | Optimal |
|---|---|---|---|---|---|
| Wide | 37% | 62% | 60% | 55.8%±7.3 | 22% ▼ |
| Body | 12% | 59% | 58% | 60.0%±10.0 | 12% |
| T | 51% | 63% | 69% | 63.7%±7.3 | 66% ▲ |
Optimal v Emma Navarro: +0.4±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.4 per 100 first serves in before the returner adjusts.
Ad court
| 1st serve | Now | Magdalena wins | v Emma | Matchup | Optimal |
|---|---|---|---|---|---|
| Wide | 47% | 66% | 62% | 62.2%±7.4 | 62% ▲ |
| Body | 13% | 48% | 64% | 56.1%±10.7 | 6% ▼ |
| T | 40% | 56% | 70% | 62.2%±7.5 | 32% ▼ |
Optimal v Emma Navarro: +0.3±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +0.8 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.
Emma Navarro returning
1st serve to the forehand
| Return | Now | Tour | Own | v Magdalena | Value |
|---|---|---|---|---|---|
| FH through the middle | 43% | +4.2 | +1.2 | +2.3 | +7.7±2.6 |
| FH crosscourt | 29% | +5.3 | +2.7 | +2.0 | +9.9±4.1 |
| FH down the line | 18% | +1.5 | +0.5 | +0.5 | +2.5±4.6 |
| FH slice through the middle | 7% | −6.7 | −0.9 | +1.2 | −6.4±2.5 |
| FH slice down the line | 2% | −10.5 | −0.6 | ±0.0 | −11.1±2.2 |
Lean FH crosscourt: +4.0±3.2 per 100 returns v the current mix (421 returns charted)
1st serve to the backhand
| Return | Now | Tour | Own | v Magdalena | Value |
|---|---|---|---|---|---|
| BH through the middle | 47% | +6.0 | +2.5 | +0.6 | +9.2±2.4 |
| BH crosscourt | 28% | +7.7 | +0.4 | +1.5 | +9.7±3.5 |
| BH down the line | 10% | +2.2 | +1.5 | −0.9 | +2.8±4.7 |
| BH slice through the middle | 9% | −6.2 | +3.9 | −0.4 | −2.8±2.5 |
| BH slice crosscourt | 4% | −4.2 | −0.5 | +0.2 | −4.5±2.6 |
Lean BH crosscourt: +3.1±2.8 per 100 returns v the current mix (370 returns charted)
2nd serve to the forehand
| Return | Now | Tour | Own | v Magdalena | Value |
|---|---|---|---|---|---|
| FH through the middle | 49% | −3.2 | +2.9 | −1.7 | −2.0±3.0 |
| FH crosscourt | 28% | +0.5 | +1.3 | +0.9 | +2.7±4.3 |
| FH down the line | 24% | −0.6 | −1.0 | −0.4 | −1.9±5.1 |
Lean FH crosscourt: +3.4±3.6 per 100 returns v the current mix (119 returns charted, inside the 90% margin)
2nd serve to the backhand
| Return | Now | Tour | Own | v Magdalena | Value |
|---|---|---|---|---|---|
| BH crosscourt | 47% | +1.5 | −1.1 | −2.7 | −2.3±3.6 |
| BH through the middle | 40% | −2.6 | +0.5 | +0.9 | −1.2±2.7 |
| BH down the line | 13% | −0.5 | +3.5 | +1.3 | +4.3±5.1 |
Lean BH down the line: +5.3±4.8 per 100 returns v the current mix (174 returns charted)
Magdalena Frech returning
1st serve to the forehand
| Return | Now | Tour | Own | v Emma | Value |
|---|---|---|---|---|---|
| FH through the middle | 39% | +4.2 | +2.5 | +0.9 | +7.5±2.6 |
| FH slice through the middle | 25% | −6.7 | +1.5 | −0.3 | −5.5±2.5 |
| FH down the line | 16% | +1.5 | −0.6 | +1.3 | +2.3±4.5 |
| FH crosscourt | 14% | +5.3 | +0.1 | +3.8 | +9.2±4.2 |
| FH slice down the line | 4% | −10.5 | +1.5 | +0.3 | −8.7±2.5 |
Lean FH crosscourt: +6.5±3.9 per 100 returns v the current mix (317 returns charted)
1st serve to the backhand
| Return | Now | Tour | Own | v Emma | Value |
|---|---|---|---|---|---|
| BH through the middle | 41% | +6.0 | +2.1 | ±0.0 | +8.1±2.4 |
| BH crosscourt | 27% | +7.7 | +1.5 | +0.7 | +9.9±3.5 |
| BH slice through the middle | 13% | −6.2 | +1.2 | +1.5 | −3.5±2.6 |
| BH down the line | 8% | +2.2 | +2.1 | +2.2 | +6.5±4.5 |
| BH slice crosscourt | 8% | −4.2 | −0.9 | −0.9 | −6.0±2.7 |
Lean BH crosscourt: +4.6±2.8 per 100 returns v the current mix (300 returns charted)
2nd serve to the forehand
| Return | Now | Tour | Own | v Emma | Value |
|---|---|---|---|---|---|
| FH through the middle | 49% | −3.2 | +1.1 | +1.2 | −0.8±2.9 |
| FH crosscourt | 26% | +0.5 | +0.1 | +3.4 | +4.1±4.2 |
| FH down the line | 25% | −0.6 | +1.8 | +1.8 | +3.0±4.8 |
Lean FH crosscourt: +2.7±3.6 per 100 returns v the current mix (68 returns charted, inside the 90% margin)
2nd serve to the backhand
| Return | Now | Tour | Own | v Emma | Value |
|---|---|---|---|---|---|
| BH crosscourt | 37% | +1.5 | +1.2 | +2.1 | +4.8±3.5 |
| BH down the line | 34% | −0.5 | +3.5 | +5.3 | +8.4±5.3 |
| BH through the middle | 29% | −2.6 | +1.5 | −1.3 | −2.3±2.6 |
Lean BH down the line: +4.5±3.8 per 100 returns v the current mix (139 returns charted)
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 clay. Each player's clay record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.
Emma Navarro
Favour
| Shot | Edge | Own | Theirs |
|---|---|---|---|
| FH to their backhand · rally | +6.8±3.7 | +2.7 | +4.1 |
| BH to their forehand · return +1 | +5.7±6.6 | +3.3 | +2.4 |
| FH to their forehand · return +1 | +4.7±5.2 | +3.1 | +1.7 |
| BH to their backhand · return +1 | +4.5±4.6 | +3.1 | +1.4 |
| FH to their backhand · return +1 | +3.9±5.3 | −0.7 | +4.6 |
| FH to their forehand · rally | +3.8±3.6 | +1.4 | +2.4 |
Avoid
| Shot | Edge | Own | Theirs |
|---|---|---|---|
| FH to their forehand · serve +1 | −1.9±4.9 | −0.7 | −1.2 |
| BH to their forehand · rally | −0.3±5.4 | −2.0 | +1.7 |
| BH to their backhand · serve +1 | −0.3±4.7 | −3.2 | +2.9 |
| BH to their forehand · serve +1 | −0.2±6.8 | +1.6 | −1.8 |
| BH to their forehand · return | +0.4±6.1 | −1.9 | +2.3 |
Magdalena Frech
Favour
| Shot | Edge | Own | Theirs |
|---|---|---|---|
| BH to their forehand · return | +11.6±5.7 | +6.2 | +5.4 |
| BH to their forehand · rally | +6.5±5.0 | +5.1 | +1.4 |
| FH to their backhand · return | +5.3±5.6 | +1.2 | +4.1 |
| FH to their forehand · serve +1 | +4.8±5.1 | +2.4 | +2.4 |
| FH to their backhand · serve +1 | +4.6±4.9 | +1.3 | +3.4 |
| FH to the middle · return +1 | +4.3±3.5 | +2.7 | +1.6 |
Avoid
| Shot | Edge | Own | Theirs |
|---|---|---|---|
| BH slice to their backhand · rally | −3.6±3.9 | −0.3 | −3.4 |
| FH to the middle · serve +1 | −3.0±3.6 | −0.4 | −2.6 |
| FH to their backhand · rally | −1.3±3.9 | +1.0 | −2.3 |
| BH to the middle · return +1 | −0.6±3.4 | +0.2 | −0.8 |
| BH to their forehand · serve +1 | −0.5±6.3 | −0.7 | +0.2 |
Against Magdalena Frech-like opponents
| Emma Navarro v | Matches | Serve pts won | Return pts won |
|---|---|---|---|
| All charted opponents | – | 55.2% | 43.3% |
Similar by tactical fingerprint: Elina Svitolina, Daria Kasatkina, Jaqueline Cristian, Victoria Azarenka, Linda Fruhvirtova, Caroline Wozniacki, Vera Zvonareva, Agnieszka Radwanska, Flavia Pennetta, Dinara Safina. When two players have rarely met, their records against these lookalikes fill the gap.