RallyIQ

WTA · Right-handed · 2 charted matches · 1996–1997

Anke Huber

Shot expected value

The share of points Anke Huber 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 forehand side

position worth 43% to the average player · 77 shots

OptionUsedWin %Tour
FH crosscourt 51% 39.6%±10.5 46.7%
FH through the middle 25% 44.3%±13.1 41.3%
FH down the line 25% 33.3%±12.4 44.9%

Long rally, 9+: drive to your forehand side

position worth 44% to the average player · 35 shots

OptionUsedWin %Tour
FH crosscourt 34% 45.0%±14.5 47.0%
FH down the line 34% 47.8%±14.5 46.4%
FH through the middle 31% 39.7%±14.5 41.5%

Serve under pressure

Deuce court

1st serveUsageBreak ptWon when in
Wide 42% 50% 58% / 66%
Body 15% 0% ▼ 64% / 57%
T 42% 50% 65% / 68%

73 normal · 4 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 55% 38% ▼ 64% / 66%
Body 20% 13% 52% / 56%
T 25% 50% ▲ 57% / 64%

60 normal · 16 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 won
Wide43% 49.1%±10.4 n=33
Body14% 59.9%±12.6 n=11
T43% 46.2%±10.3 n=33

Off equilibrium (p = 0.037): serve body more. Gap 10.5 points per 100 first serves.

Ad court

1st serveUsagePoints won
Wide51% 54.5%±9.9 n=39
Body18% 41.6%±12.2 n=14
T30% 51.1%±11.3 n=23

Consistent with an optimal mix (p = 0.07).

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 5 43% −0.6±13.8
1stAd courtT 10 29% −6.4±11.8
1stAd courtWide 25 39% +4.3±10.8
1stDeuce courtBody 7 37% −5.4±13.1
1stDeuce courtT 26 33% +1.2±10.4
1stDeuce courtWide 12 36% +2.2±12.2
2ndAd courtBody 4 52% −3.5±14.1
2ndAd courtT 3 50% −5.0±14.3
2ndAd courtWide 13 61% +7.1±12.3
2ndDeuce courtBody 11 54% ±0.0±12.8
2ndDeuce courtT 12 59% +3.0±12.5
2ndDeuce courtWide 1 52% −1.7±14.8

Signature patterns

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

Serve → +1

  1. Not enough data

Return

  1. Not enough data

Rally, consecutive own shots

  1. FH crosscourt → FH down the line used 62.9% · won 40% · +0.4±9.3 vs own baseline

Discovered sequences

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

  1. FH crosscourt → BH crosscourt → FH down the line used 3.6% · won 38% · −3.0±12.8 vs own baseline · −15.0 vs tour on the same sequence Disrupted by Monica Seles (5/15)

Charted matches