RallyIQ

WTA · Right-handed · 7 charted matches · 2024–2026

Anouk Koevermans

Against an average opponent

Serve points won 56.0% ±3.8 raw 55.4% · tour 56.3% · 480 points
Return points won 41.1% ±3.7 raw 42.9% · tour 43.7% · 492 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 −0.05 ±0.15 better than 45% of WTA · raw ±0.00
Shot selection +0.62 ±0.32 better than 97% of WTA · raw +0.73
Execution −1.18 ±0.99 better than 15% of WTA · raw −0.44
Points left on the table 2.36 per 100 shots vs best direction · lower than 79% 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 3,070 shots.

Shot expected value

The share of points Anouk Koevermans 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 · 336 shots

OptionUsedWin %Tour
BH crosscourt 40% 43.6%±6.6 47.6%
BH through the middle 23% 46.6%±8.3 43.3%
BH down the line 15% 48.3%±9.9 46.8%
FH inside-out 8% 55.2%±11.8 52.5%
FH inside-in 8% 42.8%±11.9 55.6%
BH slice through the middle 3% 28.7%±13.4 34.4%

Long rally, 9+: drive to your backhand side

position worth 44% to the average player · 195 shots

OptionUsedWin %Tour
BH crosscourt 29% 46.8%±9.4 47.9%
BH through the middle 24% 35.7%±9.7 42.7%
BH down the line 23% 46.7%±10.2 46.7%
FH inside-out 13% 46.3%±12.2 54.1%
BH slice through the middle 5% 29.0%±13.6 33.4%

Rally, shots 5–8: drive to your middle

position worth 50% to the average player · 157 shots

OptionUsedWin %Tour
FH down the line 32% 58.4%±9.6 52.2%
FH crosscourt 24% 57.1%±10.8 52.7%
FH through the middle 15% 48.1%±12.4 45.8%
BH down the line 11% 54.1%±13.5 50.0%
BH crosscourt 9% 41.7%±13.9 50.9%

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

position worth 43% to the average player · 139 shots

OptionUsedWin %Tour
FH crosscourt 52% 41.7%±8.5 46.7%
FH down the line 23% 34.6%±10.8 44.9%
FH through the middle 18% 36.1%±11.8 41.3%
FH slice through the middle 7% 29.5%±13.7 29.2%

Serve under pressure

Pressure predictability index +1 How much less varied Anouk Koevermans's first-serve direction gets on break points. Positive means easier to read. Based on 54 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 32% 36% 63% / 66%
Body 34% 36% 55% / 57%
T 34% 29% 68% / 68%

232 normal · 14 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 32% 38% 69% / 66%
Body 35% 35% 54% / 56%
T 33% 28% 67% / 64%

188 normal · 40 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
Wide33% 53.0%±7.8 n=80 32%
Body34% 54.6%±7.7 n=83 19% ▼
T34% 58.2%±7.6 n=83 49% ▲

Consistent with an optimal mix (p = 0.62).
Optimal mix: +0.6 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide33% 59.9%±7.9 n=75 48% ▲
Body35% 52.2%±7.8 n=80 20% ▼
T32% 57.8%±8.0 n=73 32%

Consistent with an optimal mix (p = 0.37).
Optimal mix: +0.9 per 100 first serves.

Exploitability 0.72 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±6.6 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. (132 repeats, 328 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 54 41% −3.2±8.8
1stAd courtT 42 33% −2.7±9.1
1stAd courtWide 73 41% +6.6±8.0
1stDeuce courtBody 88 46% +3.8±7.6
1stDeuce courtT 48 35% +3.3±8.9
1stDeuce courtWide 31 27% −7.5±9.3
2ndAd courtBody 42 59% +4.0±9.5
2ndAd courtT 10 51% −3.8±13.0
2ndAd courtWide 15 51% −2.3±12.3
2ndDeuce courtBody 46 49% −5.3±9.4
2ndDeuce courtT 33 57% +0.8±10.3
2ndDeuce courtWide 10 45% −8.4±12.9

Signature patterns

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

Serve → +1

  1. Body serve (deuce court) → FH down the line used 10.1% · won 60% · −1.1±11.0 vs own baseline
  2. Body serve (ad court) → FH through the middle used 9.7% · won 51% · −9.4±11.3 vs own baseline

Return

  1. vs body serve (deuce court) → FH through the middle, deep used 18.1% · won 48% · −0.1±11.4 vs own baseline

Rally, consecutive own shots

  1. FH crosscourt → FH crosscourt used 4.8% · won 54% · +6.3±10.6 vs own baseline
  2. FH crosscourt → FH down the line used 6.9% · won 51% · +3.6±9.5 vs own baseline
  3. BH down the line → FH crosscourt used 3.4% · won 51% · +4.0±11.6 vs own baseline
  4. FH crosscourt → BH crosscourt used 3.7% · won 49% · +2.1±11.3 vs own baseline
  5. BH crosscourt → BH crosscourt used 7.9% · won 47% · −0.3±9.1 vs own baseline

Discovered sequences

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

  1. FH down the line → BH crosscourt → BH crosscourt used 1.2% · won 54% · +7.1±12.4 vs own baseline · +14.8 vs tour on the same sequence Disrupted by Amarissa Kiara Toth (6/11)
  2. BH crosscourt → BH crosscourt → BH crosscourt used 1.0% · won 53% · +6.2±12.9 vs own baseline · +13.9 vs tour on the same sequence Disrupted by Amarissa Kiara Toth (10/14)
  3. BH crosscourt → FH crosscourt → FH inside-out used 1.0% · won 49% · +2.5±13.0 vs own baseline · −1.1 vs tour on the same sequence Disrupted by Victoria Jimenez Kasintseva (8/15)
  4. FH crosscourt → FH crosscourt → FH crosscourt used 1.0% · won 48% · +1.3±12.9 vs own baseline · +1.7 vs tour on the same sequence Disrupted by Amarissa Kiara Toth (8/13)
  5. BH crosscourt → FH crosscourt → BH through the middle used 1.1% · won 46% · −1.0±12.5 vs own baseline · −0.9 vs tour on the same sequence Disrupted by Victoria Jimenez Kasintseva (7/14)
  6. BH crosscourt → FH crosscourt → BH crosscourt used 2.2% · won 45% · −1.5±10.6 vs own baseline · −4.0 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 the middle · rally+1.4148
FH to their forehand · rally+1.0253
FH to their backhand · rally−0.1242
BH to their backhand · rally−0.3171
BH to their forehand · rally−1.6179

Most exposed to

FH to their backhand · rally−4.1337
FH to their forehand · rally−1.6178
BH to the middle · rally−0.7122
BH to their backhand · rally+0.1182
BH to their forehand · rally+1.5121

Active players who are best at the shot in the top weakness: Clara Burel, Victoria Jimenez Kasintseva, Sara Sorribes Tormo, Arianne Hartono, Angelique Kerber

Charted matches