Soon Woo Kwon

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 2,533 shots.

Shot expected value

The share of points Soon Woo Kwon 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.

Serve under pressure

Pressure predictability index +1 How much less varied Soon Woo Kwon's first-serve direction gets on break points. Positive means easier to read. Based on 43 break-point first 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. No measurable response (−0.05 ± 0.15 points per 100 serves for every 10 points of habitual usage), measured from ATP servers whose mix drifted between matches. Shifts stay within the range servers' habits actually vary, the only range that response was measured over.

Exploitability 0.45 points per 100 first serves What the optimal mix would win over the current one, both courts. More exploitable than 100% of ATP servers. Tested on matches they weren't fitted on, ATP mixes picked this way win 0.33 per 100 first serves on average.

Repeating the previous direction to the same court: +0.8±6.4 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. (191 repeats, 295 switches.)

Return by serve direction

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

Signature patterns

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

Discovered sequences

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

1. FH crosscourt → FH crosscourt → FH crosscourt used 1.4% · won 46% · +0.7±12.7 vs own baseline · −1.7 vs tour on the same sequence Disrupted by Jenson Brooksby (2/6), Gael Monfils (4/7)
2. BH crosscourt → BH crosscourt → BH crosscourt used 2.1% · won 41% · −4.3±11.2 vs own baseline · −11.4 vs tour on the same sequence Disrupted by Gael Monfils (2/6), Jenson Brooksby (3/8)
3. BH crosscourt → BH crosscourt → BH through the middle used 1.8% · won 37% · −8.4±11.6 vs own baseline · −18.0 vs tour on the same sequence Disrupted by Gael Monfils (1/7), Richard Gasquet (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.

Charted matches

• Soon Woo Kwon v Abedallah Shelbayh W Doha R32 · Hard · 21 Feb 2023
• Pedro Martinez v Soon Woo Kwon W Tokyo QF · Hard · 7 Oct 2022
• Jenson Brooksby v Soon Woo Kwon L Seoul R16 · Hard · 29 Sep 2022
• Soon Woo Kwon v Fernando Verdasco W US Open R128 · Hard · 30 Aug 2022
• Soon Woo Kwon v Richard Gasquet L Montpellier R16 · Hard · 3 Feb 2022
• Gael Monfils v Soon Woo Kwon L Kaohsiung CH F · Hard · 23 Sep 2018