RallyIQ

WTA · Right-handed · 5 charted matches · 2022–2026

Elsa Jacquemot

Against an average opponent

Serve points won 57.5% ±3.8 raw 55.4% · tour 56.3% · 498 points
Return points won 43.4% ±3.9 raw 42.9% · tour 43.7% · 476 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 +0.03 ±0.09 better than 59% of WTA · raw +0.04
Shot selection −0.54 ±0.62 better than 10% of WTA · raw −0.52
Execution +1.04 ±0.85 better than 93% of WTA · raw +1.21

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 2,535 shots.

Shot expected value

The share of points Elsa Jacquemot 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 · 162 shots

OptionUsedWin %Tour
BH crosscourt 57% 46.0%±7.7 47.6%
BH through the middle 25% 40.4%±10.3 43.3%
BH down the line 7% 41.7%±14.3 46.8%

Rally, shots 5–8: drive to your middle

position worth 50% to the average player · 124 shots

OptionUsedWin %Tour
FH down the line 44% 54.7%±9.5 52.2%
BH through the middle 18% 43.4%±12.6 46.2%
FH through the middle 15% 49.1%±13.2 45.8%
BH crosscourt 13% 42.2%±13.5 50.9%

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

position worth 43% to the average player · 95 shots

OptionUsedWin %Tour
FH through the middle 26% 33.9%±11.6 41.3%
FH crosscourt 24% 38.0%±12.2 46.7%
FH down the line 21% 42.4%±12.9 44.9%
FH slice through the middle 16% 25.3%±12.1 29.2%

Return +1: drive to your backhand side

position worth 44% to the average player · 70 shots

OptionUsedWin %Tour
BH crosscourt 60% 49.3%±10.4 47.8%
BH through the middle 31% 44.3%±12.6 43.0%

Serve under pressure

Pressure predictability index +10 How much less varied Elsa Jacquemot's first-serve direction gets on break points. Positive means easier to read. Based on 68 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 52% 53% 60% / 66%
Body 14% 7% 57% / 57%
T 33% 40% 72% / 68%

243 normal · 15 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 44% 60% ▲ 74% / 66%
Body 20% 19% 58% / 56%
T 36% 21% ▼ 63% / 64%

185 normal · 53 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
Wide52% 52.6%±6.4 n=135 51% ▼
Body14% 42.4%±10.0 n=36 0% ▼
T34% 57.6%±7.5 n=87 49% ▲

Off equilibrium (p = 0.032): serve T more. Gap 4.7 points per 100 first serves.
Optimal mix: +0.8 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide47% 59.5%±6.8 n=113 49% ▲
Body20% 55.2%±9.3 n=47 5% ▼
T33% 60.5%±7.7 n=78 46% ▲

Consistent with an optimal mix (p = 0.62).
Optimal mix: +0.7 per 100 first serves.

Exploitability 0.73 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: +2.0±8.2 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. (155 repeats, 331 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 47 51% +7.0±9.4
1stAd courtT 50 36% +0.3±8.8
1stAd courtWide 50 34% −0.3±8.7
1stDeuce courtBody 64 47% +4.0±8.5
1stDeuce courtT 39 31% −0.8±9.2
1stDeuce courtWide 63 29% −4.8±7.8
2ndAd courtBody 50 53% −1.9±9.2
2ndAd courtT 23 46% −8.8±11.3
2ndAd courtWide 10 48% −5.9±13.0
2ndDeuce courtBody 43 54% −0.6±9.6
2ndDeuce courtT 14 61% +4.9±12.1
2ndDeuce courtWide 23 55% +1.2±11.2

Signature patterns

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

Serve → +1

  1. T serve (ad court) → FH down the line used 14.0% · won 62% · −4.4±10.0 vs own baseline
  2. Wide serve (deuce court) → FH down the line used 14.4% · won 53% · −13.4±10.1 vs own baseline

Return

  1. Not enough data

Rally, consecutive own shots

  1. BH through the middle → FH down the line used 7.9% · won 49% · +4.1±11.5 vs own baseline
  2. BH crosscourt → BH crosscourt used 10.4% · won 45% · −0.1±10.6 vs own baseline
  3. FH down the line → BH crosscourt used 10.8% · won 44% · −0.8±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 Elsa Jacquemot wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.

  1. BH crosscourt → BH through the middle → FH down the line used 1.5% · won 53% · +8.2±12.7 vs own baseline · +11.3 vs tour on the same sequence Disrupted by Moyuka Uchijima (4/7)
  2. FH down the line → BH crosscourt → BH crosscourt used 2.8% · won 46% · +1.4±10.8 vs own baseline · −1.5 vs tour on the same sequence Disrupted by Lesia Tsurenko (5/12), Arianne Hartono (4/6)
  3. BH crosscourt → BH crosscourt → BH crosscourt used 1.8% · won 46% · +1.4±12.1 vs own baseline · −1.0 vs tour on the same sequence Disrupted by Moyuka Uchijima (5/10)
  4. BH crosscourt → FH inside-out → BH crosscourt used 1.3% · won 45% · +0.8±13.0 vs own baseline · +0.9 vs tour on the same sequence Disrupted by Moyuka Uchijima (6/13)
  5. FH down the line → BH through the middle → FH down the line used 1.9% · won 43% · −1.7±11.9 vs own baseline · −12.1 vs tour on the same sequence Disrupted by Moyuka Uchijima (2/6)

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 · rally+3.0152
FH to their backhand · rally+1.0147
Wide 1st serve · deuce court+0.5135

Most exposed to

FH to their forehand · rally−3.1152
FH to their backhand · rally−2.6132
FH to the middle · return−1.8123
BH to their backhand · rally−0.8147
BH to the middle · rally−0.4144

Active players who are best at the shot in the top weakness: Linda Fruhvirtova, Maja Chwalinska, Sara Sorribes Tormo, Linda Klimovicova, Nadia Podoroska

Charted matches