RallyIQ

WTA · Left-handed · 8 charted matches · 2025–2025

Tiantsoa Sarah Rakotomanga Rajaonah

Archetype: Ad-court slider · Avoids the wide serve

Against an average opponent

Serve points won 56.0% ±3.9 raw 57.1% · tour 56.3% · 496 points
Return points won 46.1% ±3.9 raw 48.9% · tour 43.7% · 511 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 −0.18 ±0.15 better than 21% of WTA · raw −0.14
Shot selection +0.52 ±0.13 better than 95% of WTA · raw +0.60
Execution −0.77 ±0.62 better than 25% of WTA · raw −0.17

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 2,694 shots.

Shot expected value

The share of points Tiantsoa Sarah Rakotomanga Rajaonah 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 · 191 shots

OptionUsedWin %Tour
BH crosscourt 49% 45.6%±7.7 47.6%
BH through the middle 31% 50.2%±9.3 43.3%
BH down the line 11% 37.4%±12.4 46.8%
BH slice through the middle 9% 41.8%±13.2 34.4%

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

position worth 43% to the average player · 155 shots

OptionUsedWin %Tour
FH crosscourt 59% 51.2%±7.8 46.7%
FH down the line 18% 56.2%±11.8 44.9%
FH through the middle 16% 42.8%±12.1 41.3%

Rally, shots 5–8: drive to your middle

position worth 50% to the average player · 140 shots

OptionUsedWin %Tour
FH crosscourt 31% 64.9%±9.8 52.7%
FH through the middle 18% 49.2%±12.3 45.8%
BH crosscourt 17% 52.7%±12.4 50.9%
FH down the line 16% 52.2%±12.5 52.2%
BH through the middle 12% 46.6%±13.5 46.2%

Return +1: drive to your backhand side

position worth 44% to the average player · 84 shots

OptionUsedWin %Tour
BH crosscourt 49% 53.4%±10.5 47.8%
BH through the middle 32% 43.8%±11.9 43.0%
BH down the line 19% 42.4%±13.5 46.2%

Serve under pressure

Pressure predictability index +15 How much less varied Tiantsoa Sarah Rakotomanga Rajaonah'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 22% 0% ▼ 72% / 66%
Body 30% 47% ▲ 54% / 57%
T 48% 53% 64% / 68%

241 normal · 15 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 59% 56% 63% / 66%
Body 25% 36% ▲ 53% / 56%
T 16% 8% 68% / 64%

199 normal · 39 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
Wide21% 55.7%±8.9 n=54 35% ▲
Body31% 50.1%±7.9 n=79 16% ▼
T48% 59.2%±6.5 n=123 49%

Consistent with an optimal mix (p = 0.22).
Optimal mix: +0.8 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide59% 58.6%±6.2 n=140 59%
Body27% 57.4%±8.4 n=64 12% ▼
T14% 63.8%±9.9 n=34 29% ▲

Consistent with an optimal mix (p = 0.52).
Optimal mix: +0.8 per 100 first serves.

Exploitability 0.80 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: −6.3±8.6 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. (175 repeats, 303 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 31 38% −5.9±10.2
1stAd courtT 51 42% +6.0±9.0
1stAd courtWide 63 36% +1.4±8.2
1stDeuce courtBody 43 45% +2.3±9.6
1stDeuce courtT 39 34% +2.1±9.4
1stDeuce courtWide 74 37% +2.7±7.8
2ndAd courtBody 34 60% +5.1±10.1
2ndAd courtT 29 60% +5.2±10.5
2ndAd courtWide 37 57% +3.3±10.0
2ndDeuce courtBody 60 59% +4.8±8.5
2ndDeuce courtT 14 61% +4.9±12.1
2ndDeuce courtWide 36 58% +4.0±10.0

Signature patterns

Recurring sequences that win more than Tiantsoa Sarah Rakotomanga Rajaonah's own baseline, ranked by edge weighted by how often they're used.

Serve → +1

  1. T serve (deuce court) → FH crosscourt used 11.0% · won 58% · −2.8±9.8 vs own baseline
  2. Wide serve (ad court) → FH down the line used 7.0% · won 55% · −5.6±11.3 vs own baseline
  3. Wide serve (ad court) → FH crosscourt used 7.9% · won 50% · −10.3±11.0 vs own baseline

Return

  1. vs body serve (deuce court) → FH through the middle, mid used 12.9% · won 55% · +1.1±11.3 vs own baseline
  2. vs wide serve (deuce court) → BH through the middle, deep used 11.2% · won 54% · +0.4±11.8 vs own baseline
  3. vs wide serve (deuce court) → BH through the middle, mid used 11.2% · won 54% · +0.4±11.8 vs own baseline

Rally, consecutive own shots

  1. BH crosscourt → FH crosscourt used 8.8% · won 62% · +8.5±10.5 vs own baseline
  2. FH crosscourt → FH crosscourt used 11.6% · won 58% · +4.6±9.8 vs own baseline
  3. FH crosscourt → FH through the middle used 6.6% · won 59% · +5.3±11.5 vs own baseline
  4. FH crosscourt → BH crosscourt used 8.2% · won 57% · +3.6±10.9 vs own baseline
  5. BH crosscourt → BH crosscourt used 6.9% · won 52% · −1.6±11.5 vs own baseline

Discovered sequences

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

  1. FH crosscourt → BH through the middle → FH crosscourt used 1.2% · won 62% · +10.9±12.7 vs own baseline · +28.8 vs tour on the same sequence
  2. BH crosscourt → FH crosscourt → BH through the middle used 2.1% · won 54% · +3.4±11.5 vs own baseline · +12.3 vs tour on the same sequence Disrupted by Mayar Sherif (3/7)
  3. FH crosscourt → BH through the middle → FH down the line used 1.2% · won 52% · +0.9±13.0 vs own baseline · −1.0 vs tour on the same sequence
  4. BH through the middle → FH crosscourt → BH crosscourt used 2.0% · won 51% · +0.5±11.6 vs own baseline · +3.8 vs tour on the same sequence Disrupted by Julie Belgraver (7/9)
  5. FH crosscourt → BH crosscourt → FH down the line used 1.7% · won 49% · −1.5±12.1 vs own baseline · −0.7 vs tour on the same sequence Disrupted by Linda Klimovicova (2/6)
  6. FH crosscourt → BH crosscourt → FH crosscourt used 2.7% · won 50% · −1.4±10.8 vs own baseline · +0.2 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

FH to their backhand · rally+1.7202
Wide 1st serve · ad court+1.0140
FH to the middle · return+0.7130
T 1st serve · deuce court−0.5123
BH to their forehand · rally−0.5164

Most exposed to

FH to their backhand · rally−1.8223
BH to their forehand · rally±0.0138
Wide 1st serve · deuce court+0.6120
BH to the middle · return+1.2173
Wide 1st serve · ad court+1.3122

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

Tactical fingerprint

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

Drop shots / shot4.7%
Wide serves · ad59%
T serves · deuce48%
Points at net10%
Point-ending shots26.9%
1st serve in65%
Forehand share55%
Avg rally length4.2
Unforced errors / shot10.9%
Through the middle29%
Serve & volley0%
Deep returns32%
Backhand slice10%
Run-around forehands5%
Chipped returns6%
FH down the line24%
BH down the line14%
T serves · ad14%
Wide serves · deuce21%

Plays most like

  1. Kaja Juvan 2018–2026 plan v
  2. Olga Danilovic 2019–2026 plan v
  3. Marketa Vondrousova 2015–2025 plan v
  4. Sara Bejlek 2022–2026 plan v
  5. Jil Teichmann 2017–2026 plan v
  6. Leylah Fernandez 2020–2026 plan v
  7. Anhelina Kalinina 2019–2025 plan v
  8. Bernarda Pera 2017–2025 plan v

Closest from another era

  1. Dinara Safina 2007–2011
  2. Monica Seles 1990–2003
  3. Arantxa Sanchez Vicario 1988–2001

Charted matches