RallyIQ

WTA · Right-handed · 12 charted matches · 2021–2025

Nuria Parrizas Diaz

Archetype: Ad-court slider · Avoids the wide serve

Against an average opponent

Serve points won 55.4% ±3.4 raw 52.6% · tour 56.3% · 857 points
Return points won 45.7% ±3.4 raw 46.4% · tour 43.7% · 932 points

Serve and return points won, refitted against every opponent at once so a record built on weak or strong opposition is put on the same scale. Career, all surfaces, with a 90% margin. Raw is the plain share of points won.

Value per 100 shots

Direction choice +0.06 ±0.12 better than 64% of WTA · raw +0.07
Shot selection +0.20 ±0.15 better than 66% of WTA · raw +0.23
Execution +0.01 ±1.06 better than 61% of WTA · raw +0.20
Tactical adaptability +0.07 first serves toward what's working, set to set · 12 matches
Adaptation speed +0.02 same, every two to three service games · per 100 first serves
Points left on the table 2.11 per 100 shots vs best direction · lower than 98% of WTA

Points gained per 100 shots compared with an average tour player in the same position, adjusted for the strength of the opponents faced, with a 90% margin (shots clustered by match). Raw is before the opponent adjustment. Built on 4,430 shots.

Shot expected value

The share of points Nuria Parrizas Diaz 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 middle

position worth 50% to the average player · 363 shots

OptionUsedWin %Tour
FH crosscourt 27% 53.4%±7.5 52.7%
BH crosscourt 21% 58.4%±8.2 50.9%
FH down the line 17% 51.1%±9.0 52.2%
BH through the middle 15% 45.5%±9.6 46.2%
FH through the middle 14% 48.8%±9.8 45.8%
BH down the line 6% 50.0%±13.0 50.0%

Rally, shots 5–8: drive to your backhand side

position worth 45% to the average player · 334 shots

OptionUsedWin %Tour
BH crosscourt 59% 42.2%±5.5 47.6%
BH through the middle 25% 42.8%±8.1 43.3%
BH down the line 9% 57.9%±11.6 46.8%
FH inside-in 4% 53.5%±14.5 55.6%

Rally, shots 5–8: drive to your forehand side

position worth 43% to the average player · 192 shots

OptionUsedWin %Tour
FH crosscourt 50% 39.1%±7.5 46.7%
FH through the middle 26% 38.9%±9.6 41.3%
FH down the line 21% 58.3%±10.5 44.9%

Long rally, 9+: drive to your backhand side

position worth 44% to the average player · 182 shots

OptionUsedWin %Tour
BH crosscourt 51% 56.3%±7.7 47.9%
BH through the middle 26% 44.1%±10.0 42.7%
BH down the line 16% 48.7%±11.6 46.7%

Serve under pressure

Pressure predictability index +3 How much less varied Nuria Parrizas Diaz's first-serve direction gets on break points. Positive means easier to read. Based on 115 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 25% 15% ▼ 55% / 66%
Body 45% 58% ▲ 55% / 57%
T 30% 27% 61% / 68%

415 normal · 33 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 50% 50% 57% / 66%
Body 36% 35% 55% / 56%
T 14% 15% 60% / 64%

326 normal · 82 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 serveUsagePoints wonOptimal
Wide25% 48.8%±6.9 n=110 25%
Body46% 55.8%±5.3 n=204 30% ▼
T30% 55.9%±6.4 n=134 45% ▲

Consistent with an optimal mix (p = 0.22).
Optimal mix: +0.4 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide50% 50.0%±5.4 n=205 51%
Body36% 50.9%±6.2 n=145 20% ▼
T14% 53.8%±8.7 n=58 29% ▲

Consistent with an optimal mix (p = 0.74).
Optimal mix: +0.8 per 100 first serves.

Exploitability 0.59 points per 100 first serves What the optimal mix would win over the current one, both courts. More exploitable than 100% of WTA servers. Tested on matches they weren't fitted on, WTA mixes picked this way win 0.42 per 100 first serves on average.

Repeating the previous direction to the same court: −3.5±5.0 points per 100 against switching. Negative means returners read repeats. Tour-wide, repeating costs women about 0.4 points per 100 and costs men nothing, so men's returners don't measurably anticipate direction. (377 repeats, 455 switches.)

Return by serve direction

Return points won against each serve direction, compared with the tour average.

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 114 49% +4.8±6.9
1stAd courtT 75 36% +0.3±7.7
1stAd courtWide 118 31% −3.1±6.3
1stDeuce courtBody 114 41% −1.8±6.7
1stDeuce courtT 82 38% +5.9±7.5
1stDeuce courtWide 108 37% +3.1±6.8
2ndAd courtBody 75 58% +2.6±7.9
2ndAd courtT 29 58% +3.5±10.6
2ndAd courtWide 33 56% +2.1±10.3
2ndDeuce courtBody 92 66% +11.4±7.1
2ndDeuce courtT 23 45% −11.1±11.2
2ndDeuce courtWide 68 57% +3.5±8.2

Signature patterns

Recurring sequences that win more than Nuria Parrizas Diaz's own baseline, ranked by edge weighted by how often they're used.

Serve → +1

  1. T serve (deuce court) → FH crosscourt used 4.5% · won 59% · +3.9±10.3 vs own baseline
  2. Wide serve (ad court) → FH crosscourt used 3.5% · won 57% · +2.3±11.0 vs own baseline
  3. T serve (deuce court) → BH crosscourt used 3.8% · won 55% · +0.2±10.8 vs own baseline
  4. Body serve (deuce court) → FH crosscourt used 5.5% · won 54% · −0.7±9.8 vs own baseline
  5. Body serve (deuce court) → BH through the middle used 5.4% · won 54% · −1.3±9.9 vs own baseline

Return

  1. vs body serve (deuce court) → FH direction unknown used 6.0% · won 61% · +9.9±10.6 vs own baseline
  2. vs wide serve (deuce court) → FH direction unknown used 4.7% · won 60% · +9.3±11.3 vs own baseline
  3. vs wide serve (deuce court) → FH crosscourt, mid used 6.0% · won 54% · +3.0±10.8 vs own baseline
  4. vs T serve (deuce court) → BH through the middle, deep used 4.7% · won 52% · +1.6±11.5 vs own baseline
  5. vs body serve (ad court) → BH through the middle, mid used 4.7% · won 47% · −4.2±11.5 vs own baseline

Rally, consecutive own shots

  1. FH down the line → FH crosscourt used 3.2% · won 65% · +11.2±9.8 vs own baseline
  2. BH direction unknown → FH direction unknown used 3.4% · won 63% · +9.8±9.6 vs own baseline
  3. FH crosscourt → BH crosscourt used 5.7% · won 58% · +4.6±8.3 vs own baseline
  4. BH through the middle → BH crosscourt used 5.0% · won 58% · +4.7±8.6 vs own baseline
  5. FH down the line → BH crosscourt used 2.1% · won 60% · +7.0±11.1 vs own baseline

Discovered sequences

Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Nuria Parrizas Diaz wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.

  1. BH through the middle → FH through the middle → BH crosscourt used 0.6% · won 59% · +9.9±12.6 vs own baseline · +26.9 vs tour on the same sequence
  2. BH crosscourt → BH slice crosscourt → BH crosscourt used 1.1% · won 55% · +5.0±11.4 vs own baseline · +6.6 vs tour on the same sequence Disrupted by Sara Sorribes Tormo (14/24)
  3. BH crosscourt → BH through the middle → FH crosscourt used 1.5% · won 54% · +4.3±10.4 vs own baseline · +2.9 vs tour on the same sequence Disrupted by Sara Sorribes Tormo (12/21)
  4. BH crosscourt → BH through the middle → BH crosscourt used 0.7% · won 56% · +6.1±12.6 vs own baseline · +13.3 vs tour on the same sequence
  5. FH crosscourt → BH through the middle → FH down the line used 0.6% · won 56% · +6.4±12.9 vs own baseline · +12.3 vs tour on the same sequence Disrupted by Arantxa Rus (3/7)
  6. FH crosscourt → FH through the middle → BH crosscourt used 0.6% · won 53% · +3.9±13.0 vs own baseline · +7.6 vs tour on the same sequence

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

BH to their forehand · rally+2.1214
Body 1st serve · ad court+1.0123
Wide 1st serve · ad court+0.8187
BH to the middle · return+0.8179
BH to the middle · serve +1+0.6122

Most exposed to

FH to their backhand · serve +1−4.4189
FH to their backhand · rally−2.9323
FH to the middle · return−1.6158
BH to the middle · return−1.5223
FH to the middle · rally−1.1200

Active players who are best at the shot in the top weakness: Katie Boulter, Linda Fruhvirtova, Sara Errani, Leylah Fernandez, Karolina Muchova

Tactical fingerprint

Each bar shows how far a style trait is from the WTA average, in standard deviations.

1st serve in73%
Avg rally length4.7
Wide serves · ad50%
Unforced errors / shot12.5%
Run-around forehands12%
Point-ending shots24.4%
Deep returns33%
Serve & volley0%
Through the middle26%
Backhand slice4%
Chipped returns2%
T serves · deuce30%
Drop shots / shot0.4%
FH down the line24%
Forehand share49%
Points at net2%
BH down the line11%
Wide serves · deuce25%
T serves · ad14%

Plays most like

  1. Lesia Tsurenko 2013–2024 plan v
  2. Anhelina Kalinina 2019–2025 plan v
  3. Yue Yuan 2023–2026 plan v
  4. Victoria Jimenez Kasintseva 2020–2025 plan v
  5. Beatriz Haddad Maia 2019–2025 plan v
  6. Diana Shnaider 2022–2026 plan v
  7. Arantxa Rus 2019–2026 plan v
  8. Anna Lena Friedsam 2014–2023 plan v

Closest from another era

  1. Elena Dementieva 1999–2010
  2. Arantxa Sanchez Vicario 1988–2001
  3. Jennifer Capriati 1990–2002

Charted matches