RallyIQ

WTA · Right-handed · 6 charted matches · 2022–2026

Dalma Galfi

Against an average opponent

Serve points won 56.4% ±3.5 raw 55.6% · tour 56.3% · 637 points
Return points won 42.9% ±3.6 raw 40.7% · tour 43.7% · 583 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 −0.08 ±0.19 better than 39% of WTA · raw −0.07
Shot selection −0.20 ±0.15 better than 28% of WTA · raw −0.18
Execution −1.35 ±1.00 better than 12% of WTA · raw −1.19
Points left on the table 2.69 per 100 shots vs best direction · lower than 35% 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 2,950 shots.

Shot expected value

The share of points Dalma Galfi 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 · 175 shots

OptionUsedWin %Tour
BH crosscourt 24% 37.9%±10.1 47.6%
BH down the line 24% 37.7%±10.1 46.8%
BH through the middle 22% 35.6%±10.3 43.3%
BH slice crosscourt 10% 42.3%±13.2 40.4%
BH slice through the middle 9% 21.9%±11.3 34.4%

Rally, shots 5–8: drive to your middle

position worth 50% to the average player · 152 shots

OptionUsedWin %Tour
FH down the line 34% 40.1%±9.6 52.2%
FH through the middle 16% 54.9%±12.3 45.8%
FH crosscourt 14% 48.9%±12.7 52.7%
BH down the line 14% 53.7%±12.8 50.0%
BH through the middle 13% 49.3%±13.2 46.2%
BH crosscourt 7% 57.3%±14.9 50.9%

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

position worth 43% to the average player · 106 shots

OptionUsedWin %Tour
FH down the line 42% 41.5%±10.1 44.9%
FH crosscourt 22% 31.0%±11.6 46.7%
FH slice through the middle 16% 29.3%±12.3 29.2%
FH through the middle 14% 35.0%±13.3 41.3%

Serve +1: mid-depth return to your middle

position worth 51% to the average player · 103 shots

OptionUsedWin %Tour
FH down the line 42% 45.5%±10.3 53.3%
BH down the line 20% 37.1%±12.4 51.0%
BH through the middle 18% 34.0%±12.5 46.3%
FH crosscourt 13% 57.0%±14.2 54.0%

Serve under pressure

Pressure predictability index +7 How much less varied Dalma Galfi's first-serve direction gets on break points. Positive means easier to read. Based on 70 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 43% 55% ▲ 64% / 66%
Body 31% 9% ▼ 62% / 57%
T 26% 36% ▲ 57% / 68%

310 normal · 22 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 32% 27% 68% / 66%
Body 31% 27% 48% / 56%
T 37% 46% ▲ 65% / 64%

255 normal · 48 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
Wide44% 56.8%±6.2 n=145 59% ▲
Body30% 57.9%±7.2 n=98 15% ▼
T27% 55.0%±7.5 n=89 26%

Consistent with an optimal mix (p = 0.84).
Optimal mix: +0.2 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide31% 56.5%±7.3 n=95 36% ▲
Body30% 47.2%±7.5 n=91 15% ▼
T39% 57.8%±6.7 n=117 49% ▲

Consistent with an optimal mix (p = 0.07).
Optimal mix: +1.0 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: +8.5±9.3 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. (200 repeats, 423 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 47 38% −6.0±9.1
1stAd courtT 69 31% −4.6±7.6
1stAd courtWide 52 37% +2.5±8.8
1stDeuce courtBody 77 47% +3.9±7.9
1stDeuce courtT 26 32% −0.6±10.2
1stDeuce courtWide 87 34% −0.5±7.2
2ndAd courtBody 54 52% −3.2±9.0
2ndAd courtT 12 61% +5.7±12.4
2ndAd courtWide 49 56% +2.2±9.2
2ndDeuce courtBody 62 45% −9.5±8.5
2ndDeuce courtT 28 50% −6.4±10.8
2ndDeuce courtWide 18 44% −9.7±11.8

Signature patterns

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

Serve → +1

  1. Wide serve (ad court) → FH down the line used 5.0% · won 63% · +2.3±11.2 vs own baseline
  2. Body serve (deuce court) → FH down the line used 5.7% · won 58% · −3.1±11.1 vs own baseline
  3. Wide serve (deuce court) → FH down the line used 6.9% · won 58% · −2.9±10.5 vs own baseline
  4. Body serve (ad court) → FH down the line used 5.7% · won 47% · −14.2±11.2 vs own baseline

Return

  1. Not enough data

Rally, consecutive own shots

  1. FH down the line → BH down the line used 11.3% · won 46% · +4.3±11.6 vs own baseline

Discovered sequences

Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Dalma Galfi 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 1.7% · won 41% · −1.6±11.7 vs own baseline · −10.9 vs tour on the same sequence Disrupted by Indy De Vroome (2/10), Mirra Andreeva (2/6)
  2. Body serve → BH through the middle return, mid → FH down the line used 1.1% · won 39% · −3.4±12.7 vs own baseline · −19.5 vs tour on the same sequence Disrupted by Indy De Vroome (4/12)
  3. FH crosscourt → FH crosscourt → FH down the line used 1.1% · won 34% · −8.4±12.4 vs own baseline · −27.7 vs tour on the same sequence Disrupted by Bianca Andreescu (3/8)

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

Wide 1st serve · deuce court+0.5145
FH to their backhand · rally−0.5169
FH to their backhand · serve +1−1.5148
FH to the middle · return−3.8124

Most exposed to

Wide 1st serve · deuce court−0.7126
FH to their forehand · rally−0.2125
BH to the middle · return+1.2184
T 1st serve · ad court+1.7133
BH to their backhand · rally+2.1155

Active players who are best at the shot in the top weakness: Caroline Garcia, Elena Rybakina, Linda Noskova, Katie Volynets, Serena Williams

Charted matches