RallyIQ

Game plan

Soon Woo Kwon v Arthur Cazaux

Every number combines what Soon Woo Kwon does well with what Arthur Cazaux allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Soon Woo Kwon wins, best of 3 58%90%: 30%–83% · best of 5: 60%
Serve points won 66.7% / 65.0% Soon / Arthur · tour 63.8%
Strengths only, no similarity priors 60%serve 67.2% / 65.2%

Each player's serve and return strength is fitted against every opponent they were charted against, so a record built on weak opponents counts for less. At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers. The result is then nudged by Soon Woo Kwon's record against Arthur Cazaux's tactical lookalikes and in their charted head-to-heads (lookalikes: −8.1 on serve, +3.5 on return vs expectation (170 points)). A game-by-game Markov chain turns point odds into match odds; the 90% range covers the uncertainty in the two strengths, not the nudges. Charted matches lean toward big events, so treat this as a scouting estimate, not a betting line.

Head to head, per 100 shots

CareerSoonArthur
Direction choice−0.20 ±0.06
better than 13%
−0.18 ±0.16
better than 17%
Shot selection−0.08 ±0.27
better than 42%
−0.06 ±0.30
better than 47%
Execution−0.57 ±1.02
better than 42%
+0.04 ±0.45
better than 72%

Each player's career against an average tour player in the same position, adjusted for opponent strength, with a 90% margin (shots clustered by match). Points left on the table is the gap to the best-value direction for the same stroke, so lower is better. Percentiles are within each player's own tour. A side is highlighted only when the gap is larger than the margin on the difference.

Serve plan

The share of points the server wins when a first serve lands in that direction (hover a rate for its 90% interval; ± is the 90% margin). "Matchup" combines the server's rate with how this returner handles that serve. "Optimal" is the mix that wins most against this returner once they start reading a habit, at the response measured across the tour, and only within the range servers' habits actually vary. The gain over the current mix is how exploitable that mix is.

Soon Woo Kwon serving

Deuce court

1st serveNowSoon winsv ArthurMatchupOptimal
Wide41%66%73%66.0%±9.652% ▲
Body10%65%66%67.9%±15.20% ▼
T49%73%79%76.4%±9.048%

Optimal v Arthur Cazaux: +0.2±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowSoon winsv ArthurMatchupOptimal
Wide51%70%75%72.6%±9.649% ▼
Body11%66%65%67.7%±15.40% ▼
T38%72%80%79.7%±7.951% ▲

Optimal v Arthur Cazaux: +0.9±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.0 per 100 first serves in before the returner adjusts.

Arthur Cazaux serving

Deuce court

1st serveNowArthur winsv SoonMatchupOptimal
Wide46%72%78%77.7%±8.559% ▲
Body5%60%62%58.1%±16.20% ▼
T49%78%70%73.5%±9.341% ▼

Optimal v Soon Woo Kwon: +0.5±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowArthur winsv SoonMatchupOptimal
Wide54%72%70%69.7%±9.867% ▲
Body3%69%65%70.5%±15.83%
T43%71%71%70.0%±10.430% ▼

Optimal v Soon Woo Kwon: +0.5±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +0.7 per 100 first serves in before the returner adjusts.

Return plan

Value of each return, in points per 100 returns against an average return of the same serve (direction, court, surface): the tour's result with that return, the returner's own edge with it, and what this server gives up when it comes back to that side. Returns with no charted direction are left out, so values compare with each other rather than with zero. Depth isn't a choice here: missed returns have no depth. Serve quality isn't charted, so a block through the middle partly reflects the serve that forced it.

Soon Woo Kwon returning

1st serve to the forehand

ReturnNowTourOwnv ArthurValue
FH through the middle44%+4.3−1.1−2.8+0.4±3.0
FH crosscourt17%+5.5−2.3+1.5+4.6±4.1
FH slice through the middle17%−4.2−0.9+0.7−4.4±2.2
FH down the line16%+1.7+0.9−1.8+0.8±4.1
FH slice crosscourt7%−4.3±0.0+1.0−3.3±2.1

Lean FH crosscourt: +4.5±3.7 per 100 returns v the current mix (90 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ArthurValue
BH through the middle37%+6.4±0.0−2.0+4.4±2.8
BH crosscourt22%+8.8−1.3+1.6+9.1±3.4
BH slice through the middle18%−4.2−0.5+0.1−4.6±2.2
BH down the line15%+4.2−0.7−1.2+2.4±4.1
BH slice crosscourt7%+0.5−1.1−2.8−3.4±2.3

Lean BH crosscourt: +6.1±3.0 per 100 returns v the current mix (94 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv ArthurValue
BH through the middle55%−2.9−1.0−0.2−4.1±2.5
BH crosscourt28%+1.0−2.0+0.3−0.6±3.0
BH down the line17%−0.2−1.0+0.2−1.1±4.3

Lean BH crosscourt: +2.0±2.7 per 100 returns v the current mix (64 returns charted, inside the 90% margin)

Arthur Cazaux returning

1st serve to the forehand

ReturnNowTourOwnv SoonValue
FH through the middle43%+4.3±0.0−0.3+3.9±3.0
FH down the line28%+1.7−3.8+0.3−1.9±4.2
FH slice through the middle14%−4.2−0.9−0.1−5.1±2.2
FH crosscourt9%+5.5−3.4+1.1+3.2±4.1
FH slice down the line5%−4.3+0.5±0.0−3.7±1.8

Lean FH through the middle: +3.4±2.1 per 100 returns v the current mix (243 returns charted)

1st serve to the backhand

ReturnNowTourOwnv SoonValue
BH through the middle41%+6.4+1.0−0.7+6.7±2.8
BH crosscourt24%+8.8−0.7+2.3+10.4±3.6
BH down the line14%+4.2−2.9−1.4−0.1±4.3
BH slice through the middle12%−4.2−1.6−0.3−6.1±2.3
BH slice crosscourt6%+0.5−2.1−1.3−2.9±2.5

Lean BH crosscourt: +6.5±3.1 per 100 returns v the current mix (204 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv SoonValue
FH through the middle53%−3.5+1.3+0.3−1.9±2.8
FH down the line37%−1.8+0.1−0.9−2.6±4.1
FH crosscourt10%−0.2−2.8−0.8−3.8±3.5

Lean FH through the middle: +0.4±2.0 per 100 returns v the current mix (60 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv SoonValue
BH through the middle53%−2.9+1.2+1.2−0.4±2.5
BH crosscourt34%+1.0−1.3+1.6+1.3±3.2
BH down the line8%−0.2−1.5+0.3−1.4±3.8
FH through the middle5%−2.9+0.6+0.3−2.0±2.1

Lean BH crosscourt: +1.3±2.5 per 100 returns v the current mix (172 returns charted, inside the 90% margin)

Rally plan

Edge, in points per 100 shots: the hitter's skill with the shot (own) plus how much the receiver usually gives up against it (theirs), both measured against the tour average on hard. Each player's hard record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Soon Woo Kwon

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+6.8±5.5+4.2+2.7
FH to their forehand · serve +1+3.7±5.6−1.1+4.8
BH to their backhand · rally+2.8±3.3+2.5+0.3
FH to the middle · rally+2.7±3.5+1.4+1.3
FH to their backhand · rally+1.2±4.0−1.3+2.5
BH to the middle · rally−1.4±2.9−0.3−1.1

Avoid

ShotEdgeOwnTheirs
FH to the middle · return−4.7±3.9−2.5−2.2
BH to their forehand · rally−1.7±6.3−1.5−0.2
FH to their forehand · rally−1.7±4.2−0.7−1.0
BH to the middle · return−1.4±3.3−0.2−1.3
BH to the middle · rally−1.4±2.9−0.3−1.1

Arthur Cazaux

Favour

ShotEdgeOwnTheirs
BH to their backhand · rally+6.0±3.2+3.8+2.2
FH to their backhand · rally+2.4±4.2+0.3+2.0
FH to the middle · return+2.2±3.8+2.4−0.2
BH to their backhand · return+1.9±4.9−2.7+4.5
FH to their forehand · rally+1.4±4.3+2.1−0.7
BH to the middle · return+0.4±3.4+0.4+0.1

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−4.7±5.3−1.2−3.5
BH to their forehand · rally−4.7±6.3−3.8−0.9
FH to the middle · rally−1.9±3.2+0.6−2.5
BH to the middle · rally+0.3±2.9+0.1+0.1
BH to the middle · return+0.4±3.4+0.4+0.1

Against Arthur Cazaux-like opponents

Soon Woo Kwon vMatchesServe pts wonReturn pts won
All charted opponents–62.3%37.0%
Players most similar to Arthur Cazaux1 53.1%38.9%

Similar by tactical fingerprint: Gael Monfils, Jakub Mensik, Jack Draper, Marcos Giron, Taylor Fritz, Nuno Borges, Rinky Hijikata, Miomir Kecmanovic, Gregoire Barrere, Filip Krajinovic. When two players have rarely met, their records against these lookalikes fill the gap.