WTA · Right-handed · 7 charted matches · 2015–2020
Patricia Maria Tig
Against an average opponent
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
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 2,136 shots.
Shot expected value
The share of points Patricia Maria Tig 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 · 122 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 41% | 59.3%±9.7 | 47.6% |
| BH through the middle | 24% | 52.4%±11.7 | 43.3% |
| BH slice through the middle | 11% | 29.9%±13.1 | 34.4% |
| BH down the line | 8% | 54.5%±15.0 | 46.8% |
Rally, shots 5–8: drive to your middle
position worth 50% to the average player · 117 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 27% | 49.1%±11.4 | 52.7% |
| BH crosscourt | 17% | 50.5%±13.0 | 50.9% |
| FH through the middle | 16% | 46.5%±13.1 | 45.8% |
| BH through the middle | 15% | 55.9%±13.2 | 46.2% |
| FH down the line | 14% | 70.7%±12.5 | 52.2% |
Rally, shots 5–8: drive to your forehand side
position worth 43% to the average player · 115 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 60% | 54.3%±8.7 | 46.7% |
| FH down the line | 17% | 39.9%±12.7 | 44.9% |
| FH through the middle | 16% | 29.6%±12.2 | 41.3% |
Serve +1: mid-depth return to your middle
position worth 51% to the average player · 62 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 42% | 51.7%±12.1 | 54.0% |
| FH down the line | 23% | 51.9%±14.1 | 53.3% |
| FH through the middle | 19% | 47.2%±14.5 | 45.5% |
| BH crosscourt | 16% | 51.6%±15.0 | 52.5% |
Serve under pressure
Pressure predictability index +5 How much less varied Patricia Maria Tig's first-serve direction gets on break points. Positive means easier to read. Based on 55 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 43% | 47% | 73% / 66% |
| Body | 26% | 5% ▼ | 59% / 57% |
| T | 30% | 47% ▲ | 61% / 68% |
208 normal · 19 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 61% | 56% | 62% / 66% |
| Body | 15% | 14% | 57% / 56% |
| T | 24% | 31% | 65% / 64% |
171 normal · 36 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 serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 44% | 59.6%±7.1 n=99 | 59% ▲ |
| Body | 25% | 57.3%±8.8 n=56 | 10% ▼ |
| T | 32% | 54.3%±8.1 n=72 | 31% |
Consistent with an optimal mix (p = 0.62).
Optimal mix: +0.7 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 60% | 56.0%±6.6 n=124 | 64% ▲ |
| Body | 15% | 54.6%±10.5 n=31 | 0% ▼ |
| T | 25% | 57.2%±9.0 n=52 | 36% ▲ |
Consistent with an optimal mix (p = 0.91).
Optimal mix: +0.6 per 100 first serves.
Exploitability 0.63 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: −7.2±3.5 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. (162 repeats, 258 switches.)
Return by serve direction
Return points won against each serve direction, compared with the tour average.
| Serve | Court | Direction | Points | Won | vs tour | |
|---|---|---|---|---|---|---|
| 1st | Ad court | Body | 15 | 45% | +0.9±12.2 | |
| 1st | Ad court | T | 52 | 37% | +1.9±8.8 | |
| 1st | Ad court | Wide | 68 | 32% | −2.5±7.7 | |
| 1st | Deuce court | Body | 21 | 53% | +9.9±11.5 | |
| 1st | Deuce court | T | 49 | 32% | +0.3±8.7 | |
| 1st | Deuce court | Wide | 74 | 38% | +3.7±7.8 | |
| 2nd | Ad court | Body | 20 | 53% | −2.0±11.6 | |
| 2nd | Ad court | T | 7 | 55% | +0.4±13.4 | |
| 2nd | Ad court | Wide | 44 | 58% | +4.7±9.4 | |
| 2nd | Deuce court | Body | 45 | 46% | −8.7±9.5 | |
| 2nd | Deuce court | T | 19 | 53% | −3.4±11.7 | |
| 2nd | Deuce court | Wide | 22 | 58% | +4.2±11.3 |
Signature patterns
Recurring sequences that win more than Patricia Maria Tig's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Wide serve (ad court) → FH crosscourt used 10.6% · won 58% · −4.3±11.2 vs own baseline
- Body serve (deuce court) → FH crosscourt used 9.7% · won 56% · −5.9±11.5 vs own baseline
Return
- vs wide serve (ad court) → BH crosscourt, mid used 14.9% · won 48% · −2.3±11.9 vs own baseline
Rally, consecutive own shots
- BH crosscourt → FH crosscourt used 13.1% · won 61% · +4.3±11.5 vs own baseline
- BH crosscourt → BH crosscourt used 12.5% · won 60% · +3.5±11.7 vs own baseline
- FH crosscourt → BH crosscourt used 13.8% · won 59% · +3.1±11.4 vs own baseline
- FH crosscourt → FH crosscourt used 19.4% · won 47% · −8.9±10.3 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Patricia Maria Tig wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- FH crosscourt → FH down the line → BH crosscourt used 1.7% · won 54% · +1.2±12.9 vs own baseline · +6.5 vs tour on the same sequence Disrupted by Margarita Gasparyan (7/11)
- FH crosscourt → FH crosscourt → FH crosscourt used 2.7% · won 48% · −5.5±11.5 vs own baseline · −6.0 vs tour on the same sequence Disrupted by Margarita Gasparyan (7/17)
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 forehand · rally | −0.2 | 138 |
| Wide 1st serve · ad court | −0.4 | 124 |
Most exposed to
Charted matches
- Patricia Maria Tig v Xiaodi You W Hua Hin R16 · Hard · 13 Feb 2020
- Patricia Maria Tig v Paula Badosa L Seoul R16 · Hard · 19 Sep 2019
- Patricia Maria Tig v Elena Rybakina L Bucharest F · Clay · 21 Jul 2019
- Patricia Maria Tig v Laura Siegemund W Bucharest SF · Clay · 20 Jul 2019
- Patricia Maria Tig v Kristyna Pliskova Bucharest QF · Clay · 19 Jul 2019
- Anna Bondar v Patricia Maria Tig W Bucharest R32 · Clay · 16 Jul 2019
- Margarita Gasparyan v Patricia Maria Tig L Baku F · Hard · 2 Aug 2015