RallyIQ

Game plan

Su Wei Hsieh v Carla Suarez Navarro

Every number combines what Su Wei Hsieh does well with what Carla Suarez Navarro 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 49%90%: 15%–84% · best of 5: 49%
Serve points won 55.7% / 55.8% Su / Carla · tour 55.0%
Strengths only, no similarity priors 49%serve 55.7% / 55.8%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Carla Suarez Navarro'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

CareerSuCarla
Direction choice+0.33 ±0.09
better than 96%
−0.14 ±0.09
better than 28%
Shot selection−0.59 ±0.14
better than 9%
−0.42 ±0.14
better than 16%
Execution+0.24 ±0.61
better than 70%
+0.22 ±0.49
better than 69%
Points left on the table2.26 ±0.15
lower than 89%
2.63 ±0.13
lower than 46%

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 CarlaMatchupOptimal
Wide48%66%69%69.1%±5.563% ▲
Body20%54%62%58.9%±8.720%
T32%60%70%62.2%±7.117% ▼

Optimal v Carla Suarez Navarro: +0.8±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowSu winsv CarlaMatchupOptimal
Wide45%66%65%65.5%±6.445%
Body20%60%59%62.2%±8.85% ▼
T35%61%71%67.7%±6.750% ▲

Optimal v Carla Suarez Navarro: +0.4±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.1 per 100 first serves in before the returner adjusts.

Carla Suarez Navarro serving

Deuce court

1st serveNowCarla winsv SuMatchupOptimal
Wide42%62%66%62.2%±6.342%
Body28%54%49%46.1%±8.413% ▼
T30%65%72%70.0%±6.745% ▲

Optimal v Su Wei Hsieh: +1.3±1.0 per 100 first serves (faults included) over the current mix. Serving T every time would read +10.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowCarla winsv SuMatchupOptimal
Wide23%63%66%62.6%±7.738% ▲
Body35%57%59%60.0%±8.026% ▼
T43%56%68%59.3%±6.936% ▼

Optimal v Su Wei Hsieh: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.3 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 CarlaValue
FH slice through the middle27%−6.7+0.5+0.2−6.0±2.5
FH crosscourt23%+5.3+4.5+3.9+13.6±4.0
FH through the middle22%+4.2+0.1+1.6+5.9±2.6
FH slice crosscourt18%−6.6−1.1+0.4−7.4±2.5
FH down the line5%+1.5+2.1+0.7+4.3±4.2

Lean FH crosscourt: +12.5±3.2 per 100 returns v the current mix (386 returns charted)

1st serve to the backhand

ReturnNowTourOwnv CarlaValue
BH through the middle47%+6.0+2.9±0.0+8.9±2.2
BH crosscourt35%+7.7+0.9−3.5+5.1±3.3
BH down the line9%+2.2+2.4+0.5+5.0±4.5
BH slice down the line3%−12.5−1.5+0.2−13.8±2.8
BH slice through the middle3%−6.2−0.9+1.0−6.1±2.3

Lean BH through the middle: +3.4±1.7 per 100 returns v the current mix (338 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv CarlaValue
FH crosscourt52%+0.5+1.5+1.2+3.3±4.4
FH through the middle23%−3.2+0.6−0.4−3.0±2.8
FH down the line15%−0.6+4.9+0.5+4.9±4.7
FH slice through the middle10%−15.2±0.0±0.0−15.2±1.3

Lean FH crosscourt: +3.1±2.3 per 100 returns v the current mix (88 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv CarlaValue
BH crosscourt47%+1.5+0.4−2.5−0.6±3.3
BH through the middle30%−2.6+0.7−0.6−2.5±2.6
BH down the line23%−0.5+0.8+2.1+2.4±5.3

Lean BH down the line: +2.9±4.4 per 100 returns v the current mix (207 returns charted, inside the 90% margin)

Carla Suarez Navarro returning

1st serve to the forehand

ReturnNowTourOwnv SuValue
FH through the middle50%+4.2+0.2+0.7+5.1±2.3
FH crosscourt18%+5.3−3.5+1.3+3.1±4.0
FH down the line13%+1.5+1.8+2.5+5.8±4.6
FH slice through the middle12%−6.7+0.1+0.5−6.1±2.3
FH slice crosscourt3%−6.6+1.5+0.6−4.5±2.4

Lean FH down the line: +3.2±4.2 per 100 returns v the current mix (555 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv SuValue
BH through the middle37%+6.0+0.3+1.8+8.0±2.2
BH slice through the middle21%−6.2−0.2−2.5−8.9±2.4
BH crosscourt18%+7.7−1.5±0.0+6.2±3.3
BH down the line10%+2.2−3.4+3.9+2.7±4.7
BH slice crosscourt9%−4.2+0.6−0.8−4.4±2.9

Lean BH through the middle: +6.6±1.7 per 100 returns v the current mix (567 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv SuValue
FH through the middle48%−3.2+1.2−1.1−3.0±3.0
FH down the line27%−0.6−3.4+1.6−2.3±5.0
FH crosscourt21%+0.5±0.0+1.9+2.5±4.3
FH slice through the middle4%−15.2+0.2±0.0−15.0±1.1

Lean FH crosscourt: +4.7±4.0 per 100 returns v the current mix (120 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv SuValue
BH through the middle37%−2.6+0.3+0.2−2.1±2.5
BH crosscourt27%+1.5−1.4+1.8+1.9±3.4
BH down the line10%−0.5+0.6+1.3+1.4±5.2
FH through the middle8%−2.7−0.6−1.1−4.3±2.5
FH inside-in7%+0.7+2.0+1.9+4.7±4.6

Lean FH inside-in: +5.6±4.5 per 100 returns v the current mix (345 returns charted)

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 clay. Each player's clay record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Su Wei Hsieh

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+7.2±4.5+3.5+3.8
BH to their forehand · serve +1+6.3±6.1+5.6+0.7
BH to their backhand · return +1+3.4±4.1+0.1+3.3
FH to the middle · return+2.5±2.8+1.0+1.4
BH to the middle · rally+2.1±2.6+1.5+0.6
BH to their forehand · return+2.0±5.5+2.0±0.0

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return−3.7±4.0+2.6−6.3
FH to their backhand · return +1−2.3±4.6−0.7−1.6
FH to their forehand · rally−2.0±4.0−0.5−1.4
BH to their forehand · return +1−1.8±5.6−1.0−0.8
BH to the middle · return +1−1.7±2.8−0.8−0.9

Carla Suarez Navarro

Favour

ShotEdgeOwnTheirs
FH to the middle · serve +1+5.3±2.8+3.4+1.9
BH to the middle · return+3.2±2.9+0.7+2.5
BH slice to the middle · return +1+2.9±2.8+1.5+1.5
FH to the middle · rally+2.9±2.8−0.1+3.1
BH to their forehand · return+1.9±5.3−1.6+3.5
FH to their backhand · return+1.9±5.1+0.9+1.0

Avoid

ShotEdgeOwnTheirs
BH to their forehand · return +1−6.0±5.8−2.0−4.0
BH to their forehand · serve +1−4.7±5.7−10.9+6.3
BH slice to their backhand · rally−4.5±3.6−1.6−2.9
FH to their backhand · serve +1−3.3±3.9−3.1−0.2
FH slice to the middle · rally−2.9±3.3−2.8−0.1

Against Carla Suarez Navarro-like opponents

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

Similar by tactical fingerprint: Emma Navarro, Emma Raducanu, Maria Sakkari, Paula Badosa, Varvara Gracheva, Anna Karolina Schmiedlova, Tereza Martincova, Andrea Petkovic, Dominika Cibulkova, Louisa Chirico. When two players have rarely met, their records against these lookalikes fill the gap.