WTA · Right-handed · 2 charted matches · 2024–2026
Amarissa Kiara Toth
Shot expected value
The share of points Amarissa Kiara Toth goes on to win after each option in the positions they face most often, shrunk toward tour average when the sample is small. Showing the 8 most-used options; teal marks the best one with at least 30 shots.
Rally, shots 5–8: drive to your backhand side
position worth 45% to the average player · 97 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 55% | 41.8%±9.5 | 47.6% |
| BH through the middle | 23% | 44.4%±12.6 | 43.3% |
Rally, shots 5–8: drive to your forehand side
position worth 43% to the average player · 89 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH through the middle | 36% | 39.0%±11.1 | 41.3% |
| FH crosscourt | 36% | 37.2%±11.0 | 46.7% |
| FH down the line | 28% | 42.2%±12.1 | 44.9% |
Long rally, 9+: drive to your forehand side
position worth 44% to the average player · 85 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 46% | 34.6%±10.2 | 47.0% |
| FH through the middle | 27% | 40.2%±12.3 | 41.5% |
| FH down the line | 27% | 40.2%±12.3 | 46.4% |
Long rally, 9+: drive to your backhand side
position worth 44% to the average player · 70 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 46% | 53.1%±11.4 | 47.9% |
| BH through the middle | 23% | 32.1%±12.8 | 42.7% |
Serve under pressure
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 24% | 14% ▼ | 61% / 66% |
| Body | 60% | 71% ▲ | 50% / 57% |
| T | 16% | 14% | 60% / 68% |
70 normal · 7 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 30% | 56% ▲ | 55% / 66% |
| Body | 36% | 25% ▼ | 60% / 56% |
| T | 34% | 19% ▼ | 61% / 64% |
53 normal · 16 break-point 1st serves
Is the serve mix in equilibrium?
Game theory says a well-mixed server wins equally often with every direction they use. If one direction wins more, it's underused and points are being left behind. This is the minimax test Walker and Wooders ran on Wimbledon finals, applied to every charted first serve. Win rates include faults. "Optimal" allows for returners reading a habit. A direction loses 0.19 points per 100 serves for every 10 points of habitual usage, measured from WTA servers whose mix drifted between matches. Shifts stay within the range servers' habits actually vary, the only range that response was measured over.
Deuce court
| 1st serve | Usage | Points won |
|---|---|---|
| Wide | 23% | 48.0%±11.9 n=18 |
| Body | 61% | 45.5%±9.3 n=47 |
| T | 16% | 47.7%±12.7 n=12 |
Consistent with an optimal mix (p = 0.90).
Ad court
| 1st serve | Usage | Points won |
|---|---|---|
| Wide | 36% | 41.5%±10.9 n=25 |
| Body | 33% | 48.4%±11.3 n=23 |
| T | 30% | 49.5%±11.5 n=21 |
Consistent with an optimal mix (p = 0.37).
Return by serve direction
Return points won against each serve direction, compared with the tour average.
| Serve | Court | Direction | Points | Won | vs tour | |
|---|---|---|---|---|---|---|
| 1st | Ad court | Body | 14 | 48% | +4.2±12.4 | |
| 1st | Ad court | T | 18 | 41% | +5.4±11.7 | |
| 1st | Ad court | Wide | 15 | 32% | −2.6±11.4 | |
| 1st | Deuce court | Body | 12 | 47% | +4.5±12.7 | |
| 1st | Deuce court | T | 6 | 32% | +0.2±12.8 | |
| 1st | Deuce court | Wide | 25 | 31% | −2.7±10.3 | |
| 2nd | Ad court | Body | 13 | 52% | −2.7±12.5 | |
| 2nd | Ad court | T | 3 | 53% | −2.0±14.3 | |
| 2nd | Ad court | Wide | 7 | 49% | −4.7±13.5 | |
| 2nd | Deuce court | Body | 23 | 52% | −2.9±11.3 | |
| 2nd | Deuce court | T | 7 | 59% | +2.9±13.3 | |
| 2nd | Deuce court | Wide | 4 | 53% | −0.4±14.1 |
Signature patterns
Recurring sequences that win more than Amarissa Kiara Toth's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Not enough data
Return
- Not enough data
Rally, consecutive own shots
- FH down the line → BH crosscourt used 13.9% · won 37% · −0.3±10.5 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Amarissa Kiara Toth wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- FH crosscourt → FH crosscourt → FH down the line used 2.2% · won 42% · +1.0±12.8 vs own baseline · −3.9 vs tour on the same sequence Disrupted by Antonia Ruzic (2/6), Anouk Koevermans (5/10)
- FH down the line → BH crosscourt → BH crosscourt used 3.2% · won 40% · −1.0±11.7 vs own baseline · −9.3 vs tour on the same sequence Disrupted by Antonia Ruzic (1/8), Anouk Koevermans (8/15)
- BH crosscourt → BH crosscourt → BH crosscourt used 2.2% · won 40% · −1.5±12.7 vs own baseline · −11.1 vs tour on the same sequence Disrupted by Anouk Koevermans (5/14)
- FH crosscourt → FH crosscourt → FH through the middle used 2.6% · won 39% · −1.9±12.2 vs own baseline · −6.4 vs tour on the same sequence Disrupted by Antonia Ruzic (2/7), Anouk Koevermans (5/12)
- FH crosscourt → FH crosscourt → FH crosscourt used 2.4% · won 39% · −2.4±12.4 vs own baseline · −13.0 vs tour on the same sequence Disrupted by Anouk Koevermans (5/13)
Strengths and vulnerabilities
Value per 100 shots compared with the average player hitting (strengths) or facing (vulnerabilities) the same shot. Only shot types seen at least 120 times.
Hurts opponents most with
Most exposed to
| FH to their forehand · rally | −1.4 | 148 |
Active players who are best at the shot in the top weakness: Linda Fruhvirtova, Maja Chwalinska, Sara Sorribes Tormo, Linda Klimovicova, Nadia Podoroska