RallyIQ

WTA · Right-handed · 27 charted matches · 2014–2022

Alison Riske Amritraj

Archetype: Forehand line-changer · Backhand line-changer

Against an average opponent

Serve points won 56.8% ±2.9 raw 54.7% · tour 56.3% · 1,805 points
Return points won 44.7% ±2.9 raw 41.2% · tour 43.7% · 1,819 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 −0.11 ±0.09 better than 34% of WTA · raw −0.12
Shot selection +0.32 ±0.15 better than 80% of WTA · raw +0.30
Execution −0.38 ±0.51 better than 39% of WTA · raw −0.48
Tactical adaptability −0.14 first serves toward what's working, set to set · 27 matches
Adaptation speed −0.15 same, every two to three service games · per 100 first serves
Points left on the table 2.65 per 100 shots vs best direction · lower than 44% 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 9,660 shots.

Shot expected value

The share of points Alison Riske Amritraj 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 · 626 shots

OptionUsedWin %Tour
FH through the middle 19% 46.9%±7.0 45.8%
BH through the middle 19% 48.7%±7.1 46.2%
FH down the line 18% 55.6%±7.1 52.2%
FH crosscourt 15% 53.1%±7.6 52.7%
BH crosscourt 14% 44.9%±8.0 50.9%
BH down the line 12% 46.9%±8.4 50.0%

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

position worth 45% to the average player · 541 shots

OptionUsedWin %Tour
BH through the middle 38% 39.7%±5.4 43.3%
BH crosscourt 32% 45.8%±5.9 47.6%
BH down the line 21% 45.7%±7.1 46.8%
BH slice through the middle 5% 23.2%±10.1 34.4%
BH slice crosscourt 2% 45.7%±14.3 40.4%

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

position worth 43% to the average player · 531 shots

OptionUsedWin %Tour
FH crosscourt 46% 40.6%±5.0 46.7%
FH through the middle 32% 37.0%±5.8 41.3%
FH down the line 18% 41.0%±7.5 44.9%

Return +1: drive to your middle

position worth 50% to the average player · 359 shots

OptionUsedWin %Tour
FH down the line 21% 57.5%±8.3 53.0%
FH through the middle 20% 36.2%±8.2 46.5%
BH down the line 16% 62.2%±9.0 50.6%
BH through the middle 16% 45.2%±9.3 46.2%
BH crosscourt 13% 43.3%±10.1 50.8%
FH crosscourt 12% 48.4%±10.4 52.3%

Serve under pressure

Pressure predictability index +4 How much less varied Alison Riske Amritraj's first-serve direction gets on break points. Positive means easier to read. Based on 233 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 41% 49% 64% / 66%
Body 16% 23% 51% / 57%
T 43% 28% ▼ 60% / 68%

870 normal · 57 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 41% 48% 68% / 66%
Body 26% 17% ▼ 57% / 56%
T 33% 35% 57% / 64%

686 normal · 176 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
Wide42% 57.4%±4.0 n=387 57% ▲
Body17% 51.6%±6.1 n=153 1% ▼
T42% 56.2%±4.0 n=387 42%

Consistent with an optimal mix (p = 0.34).
Optimal mix: +0.7 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide42% 54.7%±4.1 n=365 57% ▲
Body24% 54.3%±5.3 n=207 9% ▼
T34% 51.1%±4.6 n=290 34%

Consistent with an optimal mix (p = 0.55).
Optimal mix: +0.5 per 100 first serves.

Exploitability 0.60 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: +6.9±4.7 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. (605 repeats, 1,130 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 122 44% +0.3±6.6
1stAd courtT 180 34% −1.4±5.4
1stAd courtWide 200 32% −2.1±5.1
1stDeuce courtBody 134 50% +7.3±6.4
1stDeuce courtT 241 24% −7.9±4.3
1stDeuce courtWide 223 32% −1.5±4.8
2ndAd courtBody 165 58% +3.2±5.8
2ndAd courtT 63 53% −1.8±8.5
2ndAd courtWide 127 50% −3.8±6.6
2ndDeuce courtBody 177 51% −3.6±5.7
2ndDeuce courtT 99 51% −5.0±7.2
2ndDeuce courtWide 68 51% −2.6±8.3

Signature patterns

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

Serve → +1

  1. Body serve (deuce court) → FH crosscourt used 2.0% · won 59% · +2.1±10.3 vs own baseline
  2. T serve (deuce court) → BH crosscourt used 2.3% · won 59% · +1.5±10.0 vs own baseline
  3. T serve (deuce court) → FH crosscourt used 2.3% · won 56% · −0.9±10.0 vs own baseline
  4. Body serve (deuce court) → BH through the middle used 2.3% · won 53% · −3.9±10.1 vs own baseline
  5. Wide serve (deuce court) → FH down the line used 3.2% · won 53% · −3.8±9.2 vs own baseline

Return

  1. vs body serve (ad court) → BH through the middle, deep used 3.0% · won 59% · +13.2±9.7 vs own baseline
  2. vs body serve (ad court) → BH through the middle, mid used 3.3% · won 58% · +12.2±9.5 vs own baseline
  3. vs body serve (deuce court) → BH through the middle, deep used 2.4% · won 59% · +12.8±10.4 vs own baseline
  4. vs T serve (ad court) → FH through the middle, deep used 2.2% · won 55% · +8.9±10.8 vs own baseline
  5. vs body serve (deuce court) → FH crosscourt, mid used 2.0% · won 55% · +9.1±11.0 vs own baseline

Rally, consecutive own shots

  1. FH down the line → BH down the line used 2.4% · won 58% · +11.6±9.1 vs own baseline
  2. BH down the line → FH crosscourt used 3.1% · won 56% · +9.3±8.4 vs own baseline
  3. FH crosscourt → BH crosscourt used 3.5% · won 55% · +8.4±8.1 vs own baseline
  4. BH crosscourt → FH crosscourt used 3.1% · won 53% · +6.6±8.5 vs own baseline
  5. BH down the line → FH down the line used 1.9% · won 54% · +7.8±9.9 vs own baseline

Discovered sequences

Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Alison Riske Amritraj 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 down the line used 0.7% · won 57% · +10.4±10.6 vs own baseline · +14.7 vs tour on the same sequence Disrupted by Elina Svitolina (3/6)
  2. FH crosscourt → FH through the middle → FH down the line used 0.5% · won 58% · +11.5±11.4 vs own baseline · +15.6 vs tour on the same sequence
  3. FH crosscourt → FH through the middle → FH crosscourt used 0.6% · won 56% · +9.1±11.0 vs own baseline · +8.0 vs tour on the same sequence Disrupted by Elina Svitolina (4/7), Heather Watson (4/7)
  4. BH through the middle → FH through the middle → FH crosscourt used 0.5% · won 56% · +9.5±11.4 vs own baseline · +16.4 vs tour on the same sequence
  5. FH through the middle → FH through the middle → FH crosscourt used 0.5% · won 54% · +7.4±11.3 vs own baseline · +9.2 vs tour on the same sequence Disrupted by Heather Watson (3/6), Elina Svitolina (4/6)
  6. BH crosscourt → BH through the middle → FH through the middle used 0.5% · won 53% · +6.8±11.8 vs own baseline · +15.2 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 backhand · serve +1+2.3206
FH to their forehand · return +1+0.9162
BH to the middle · serve +1+0.8236
BH to their backhand · rally+0.7531
Body 2nd serve · deuce court+0.7171

Most exposed to

Wide 2nd serve · ad court−2.7127
T 1st serve · deuce court−2.3414
BH slice to the middle · rally−2.0122
FH to their forehand · serve +1−2.0241
BH to their backhand · return−1.3197

Active players who are best at the shot in the top weakness: Sloane Stephens, Karolina Muchova, Caroline Wozniacki, Ons Jabeur, Magda Linette

Tactical fingerprint

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

1st serve in67%
BH down the line26%
Through the middle34%
Deep returns37%
T serves · deuce42%
Avg rally length4.4
Points at net9%
FH down the line31%
Wide serves · deuce42%
Wide serves · ad42%
Serve & volley0%
Forehand share53%
Unforced errors / shot9.8%
T serves · ad34%
Chipped returns5%
Point-ending shots21.0%
Backhand slice5%
Run-around forehands1%
Drop shots / shot0.4%

Plays most like

  1. Victoria Azarenka 2009–2025 plan v
  2. Garbine Muguruza 2013–2023 plan v
  3. Irina Camelia Begu 2015–2024 plan v
  4. Victoria Mboko 2022–2026 plan v
  5. Jaqueline Cristian 2021–2026 plan v
  6. Shuai Zhang 2009–2026 plan v
  7. Belinda Bencic 2014–2026 plan v
  8. Sorana Cirstea 2014–2026 plan v

Closest from another era

  1. Lindsay Davenport 1995–2006
  2. Monica Seles 1990–2003
  3. Jennifer Capriati 1990–2002

Charted matches