RallyIQ

Game plan

Su Wei Hsieh v R

Every number combines what Su Wei Hsieh does well with what R allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Su Wei Hsieh wins, best of 3 59%90%: 18%–91% · best of 5: 61%
Serve points won 56.9% / 55.2% Su / R · tour 56.3%
Strengths only, no similarity priors 59%serve 56.9% / 55.2%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Su Wei Hsieh's record against R's tactical lookalikes and in their charted head-to-heads. 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

CareerSuR
Direction choice+0.33 ±0.09
better than 96%
+0.09 ±0.26
better than 71%
Shot selection−0.59 ±0.14
better than 9%
+0.24 ±0.21
better than 72%
Execution+0.24 ±0.61
better than 70%
−6.35 ±0.39
better than 0%
Points left on the table2.26 ±0.15
lower than 89%
2.35 ±0.12
lower than 82%

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.

Su Wei Hsieh serving

Deuce court

1st serveNowSu winsv RMatchupOptimal
Wide48%66%74%74.6%±6.563% ▲
Body20%54%53%50.0%±9.75% ▼
T32%60%75%68.4%±9.032%

Optimal v R: +1.6±1.1 per 100 first serves (faults included) over the current mix. Serving wide every time would read +6.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowSu winsv RMatchupOptimal
Wide45%66%67%68.1%±8.660% ▲
Body20%60%51%54.2%±10.25% ▼
T35%61%59%55.5%±8.735%

Optimal v R: +0.8±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +7.2 per 100 first serves in before the returner adjusts.

R serving

Deuce court

1st serveNowR winsv SuMatchupOptimal
Wide42%74%66%74.4%±6.855% ▲
Body24%53%49%44.6%±10.09% ▼
T34%75%72%79.0%±6.936% ▲

Optimal v Su Wei Hsieh: +1.7±1.0 per 100 first serves (faults included) over the current mix. Serving T every time would read +10.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowR winsv SuMatchupOptimal
Wide33%67%66%67.3%±8.848% ▲
Body24%51%59%53.6%±10.49% ▼
T43%59%68%62.6%±8.343%

Optimal v Su Wei Hsieh: +1.0±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.3 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.

Su Wei Hsieh returning

1st serve to the forehand

ReturnNowTourOwnv RValue
FH slice through the middle27%−6.7+0.5−0.7−6.9±2.5
FH crosscourt23%+5.3+4.5−19.3−9.5±4.3
FH through the middle22%+4.2+0.1−17.1−12.8±3.0
FH slice crosscourt18%−6.6−1.1−3.7−11.5±2.7
FH down the line5%+1.5+2.1−14.4−10.7±4.5

Lean FH slice through the middle: +3.2±2.2 per 100 returns v the current mix (386 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RValue
BH through the middle47%+6.0+2.9−14.2−5.2±2.6
BH crosscourt35%+7.7+0.9−12.2−3.6±3.5
BH down the line9%+2.2+2.4−12.7−8.1±4.6
BH slice down the line3%−12.5−1.5−0.9−14.9±2.5
BH slice through the middle3%−6.2−0.9+0.8−6.3±1.9

Lean BH crosscourt: +1.8±2.6 per 100 returns v the current mix (338 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv RValue
FH crosscourt52%+0.5+1.5−12.3−10.2±4.5
FH through the middle23%−3.2+0.6−7.6−10.2±2.9
FH down the line15%−0.6+4.9−8.0−3.6±4.7
FH slice through the middle10%−15.2±0.0±0.0−15.2±1.3

Lean FH crosscourt: −0.5±2.3 per 100 returns v the current mix (88 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv RValue
BH crosscourt47%+1.5+0.4−3.6−1.8±3.6
BH through the middle30%−2.6+0.7−4.6−6.5±2.8
BH down the line23%−0.5+0.8−1.1−0.8±5.1

Lean BH down the line: +2.2±4.4 per 100 returns v the current mix (207 returns charted, inside the 90% margin)

R returning

1st serve to the forehand

ReturnNowTourOwnv SuValue
FH through the middle39%+4.2−18.3+0.7−13.4±2.7
FH crosscourt20%+5.3−20.2+1.3−13.7±4.1
FH down the line17%+1.5−15.0+2.5−11.0±4.6
FH slice through the middle13%−6.7−3.2+0.5−9.5±2.3
FH slice crosscourt7%−6.6−4.7+0.6−10.7±2.4

Lean FH slice through the middle: +2.9±2.5 per 100 returns v the current mix (242 returns charted)

1st serve to the backhand

ReturnNowTourOwnv SuValue
BH through the middle47%+6.0−17.8+1.8−10.0±2.5
BH crosscourt33%+7.7−13.7±0.0−6.0±3.4
BH down the line10%+2.2−11.3+3.9−5.3±4.3
BH slice crosscourt5%−4.2−3.6−0.8−8.6±2.4
BH slice through the middle5%−6.2+0.6−2.5−8.2±2.1

Lean BH crosscourt: +2.1±2.6 per 100 returns v the current mix (146 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv SuValue
FH crosscourt41%+0.5−12.4+1.9−9.9±4.4
FH through the middle38%−3.2−8.4−1.1−12.6±3.0
FH down the line21%−0.6−6.8+1.6−5.7±4.8

Lean FH down the line: +4.3±4.4 per 100 returns v the current mix (82 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv SuValue
BH through the middle45%−2.6−1.4+0.2−3.8±2.6
BH crosscourt44%+1.5−2.4+1.8+0.9±3.3
BH down the line11%−0.5−0.4+1.3+0.3±4.4

Lean BH crosscourt: +2.2±2.3 per 100 returns v the current mix (55 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.

Su Wei Hsieh

Favour

ShotEdgeOwnTheirs
BH to their backhand · serve +1+4.9±3.1+0.4+4.5
FH to their backhand · serve +1+2.6±4.1−0.1+2.7
BH to the middle · rally+0.4±2.1+0.3+0.1
BH to the middle · serve +1±0.0±2.4+2.3−2.3
FH to the middle · rally−0.2±2.4+0.6−0.8
FH to the middle · return +1−0.6±2.8−0.2−0.5

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return−17.2±4.0+3.5−20.7
FH to the middle · return−15.1±2.6+1.0−16.1
FH to their backhand · return−13.6±4.5+2.1−15.7
BH to their forehand · rally−10.8±4.0−0.8−10.0
BH to the middle · return−10.3±2.2+2.0−12.3

R

Favour

ShotEdgeOwnTheirs
BH to their backhand · serve +1+5.5±3.4+4.5+1.0
FH to their backhand · serve +1+2.5±3.9+2.7−0.2
FH to the middle · return +1+0.9±2.7−0.5+1.4
FH to the middle · rally+0.5±2.2−0.8+1.2
FH to the middle · serve +1+0.3±2.6−1.7+1.9
BH to the middle · rally±0.0±2.1+0.1−0.1

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return−18.5±3.9−20.7+2.2
FH to the middle · return−15.6±2.3−16.1+0.5
FH to their backhand · return−13.4±4.0−15.7+2.3
BH to their forehand · rally−10.3±4.1−10.0−0.3
BH to the middle · return−10.2±2.1−12.3+2.1

Against R-like opponents

Su Wei Hsieh vMatchesServe pts wonReturn pts won
All charted opponents–55.2%42.1%

Similar by tactical fingerprint: Anastasia Potapova, Anna Blinkova, Jessica Pegula, Kimberly Birrell, Emma Navarro, Jaqueline Cristian, Shuai Zhang, Emma Raducanu, Varvara Gracheva, Lin Zhu. When two players have rarely met, their records against these lookalikes fill the gap.