RallyIQ

Game plan

Xin Yu Wang v Jule Niemeier

Every number combines what Xin Yu Wang does well with what Jule Niemeier allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Xin Yu Wang wins, best of 3 48%90%: 15%–83% · best of 5: 47%
Serve points won 56.5% / 56.9% Xin / Jule · tour 55.0%
Strengths only, no similarity priors 47%serve 56.2% / 56.7%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Xin Yu Wang's record against Jule Niemeier's tactical lookalikes and in their charted head-to-heads (lookalikes: +5.9 on serve, −3.5 on return vs expectation (143 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

CareerXinJule
Direction choice+0.04 ±0.10
better than 62%
−0.06 ±0.09
better than 41%
Shot selection+0.30 ±0.16
better than 78%
+0.21 ±0.30
better than 68%
Execution−0.76 ±0.77
better than 25%
−2.75 ±0.94
better than 2%
Points left on the table2.56 ±0.19
lower than 58%
2.67 ±0.13
lower than 37%

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.

Xin Yu Wang serving

Deuce court

1st serveNowXin winsv JuleMatchupOptimal
Wide48%64%72%70.4%±8.341% ▼
Body16%62%59%63.9%±10.78% ▼
T35%70%69%71.0%±9.151% ▲

Optimal v Jule Niemeier: +0.1±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowXin winsv JuleMatchupOptimal
Wide46%66%61%62.2%±9.045%
Body16%48%62%54.9%±11.51% ▼
T38%65%69%69.4%±9.854% ▲

Optimal v Jule Niemeier: +0.9±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.6 per 100 first serves in before the returner adjusts.

Jule Niemeier serving

Deuce court

1st serveNowJule winsv XinMatchupOptimal
Wide37%66%66%65.8%±9.052% ▲
Body19%63%58%63.6%±11.34% ▼
T43%65%69%66.7%±9.144%

Optimal v Xin Yu Wang: +0.8±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +0.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJule winsv XinMatchupOptimal
Wide33%63%72%69.8%±8.849% ▲
Body24%56%62%62.3%±10.99% ▼
T42%62%68%65.1%±9.242%

Optimal v Xin Yu Wang: +0.2±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.8 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.

Xin Yu Wang returning

1st serve to the forehand

ReturnNowTourOwnv JuleValue
FH through the middle52%+4.2−1.4−2.0+0.8±2.9
FH crosscourt22%+5.3−1.2−3.0+1.1±4.4
FH down the line13%+1.5−3.3−2.6−4.3±4.7
FH slice through the middle7%−6.7−0.6−1.1−8.4±2.3
BH through the middle4%+5.2+0.5+0.4+6.2±2.5

Lean FH crosscourt: +1.5±3.8 per 100 returns v the current mix (293 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv JuleValue
BH through the middle47%+6.0−2.0+0.4+4.5±2.7
BH crosscourt22%+7.7−0.7−1.3+5.8±3.6
BH down the line11%+2.2+1.7−0.8+3.0±4.5
BH slice through the middle8%−6.2−0.4−1.8−8.4±2.4
BH slice crosscourt4%−4.2−2.9±0.0−7.1±1.7

Lean BH crosscourt: +3.3±3.2 per 100 returns v the current mix (295 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JuleValue
FH through the middle44%−3.2−1.5+0.5−4.1±3.1
FH down the line31%−0.6−1.0−1.8−3.3±5.0
FH crosscourt25%+0.5−0.6+0.7+0.7±4.3

Lean FH crosscourt: +3.4±3.8 per 100 returns v the current mix (84 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv JuleValue
BH crosscourt37%+1.5−3.7+0.2−2.0±3.6
BH through the middle29%−2.6−2.0+2.8−1.8±2.8
BH down the line20%−0.5+0.2+2.2+1.9±4.9
FH through the middle5%−2.7+0.4+0.5−1.7±2.3
FH inside-in5%+0.7+1.2+0.7+2.6±4.0

Lean BH down the line: +2.7±4.2 per 100 returns v the current mix (132 returns charted, inside the 90% margin)

Jule Niemeier returning

1st serve to the forehand

ReturnNowTourOwnv XinValue
FH through the middle51%+4.2−0.8+2.5+5.8±3.0
FH crosscourt31%+5.3−0.8−0.1+4.4±4.3
FH down the line13%+1.5−1.5−1.8−1.8±4.4
FH slice through the middle5%−6.7−0.1+0.7−6.0±2.1

Lean FH through the middle: +2.0±2.0 per 100 returns v the current mix (121 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv XinValue
BH through the middle46%+6.0−0.2−0.2+5.6±2.7
BH crosscourt31%+7.7−0.2+0.4+7.9±3.6
BH down the line8%+2.2+1.5−0.4+3.3±4.2
BH slice through the middle7%−6.2+0.2+0.6−5.4±2.2
BH slice crosscourt5%−4.2−0.2−1.3−5.7±2.1

Lean BH crosscourt: +3.8±2.8 per 100 returns v the current mix (143 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv XinValue
BH through the middle39%−2.6−1.3−1.1−5.0±2.7
BH crosscourt34%+1.5−1.7−3.3−3.5±3.5
BH down the line11%−0.5−3.5−3.2−7.3±4.5
FH inside-out9%+1.4+0.6+2.3+4.2±3.7
FH through the middle7%−2.7−0.5+2.6−0.6±2.1

Lean BH crosscourt: +0.1±2.6 per 100 returns v the current mix (76 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 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.

Xin Yu Wang

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+2.9±4.8+1.0+1.9
BH to the middle · serve +1+1.6±3.6+2.0−0.3
FH to their forehand · serve +1+0.6±5.6+2.0−1.4
BH to their backhand · serve +1+0.4±5.2−1.0+1.3
BH to the middle · return±0.0±3.5−1.5+1.5
BH to their forehand · rally−0.4±6.6−0.4±0.0

Avoid

ShotEdgeOwnTheirs
FH to the middle · return−6.1±3.6−4.8−1.3
BH to their backhand · return−3.7±4.9−3.3−0.4
FH to their backhand · serve +1−3.5±5.5−3.3−0.2
FH to their backhand · return−3.4±6.1−0.5−2.9
FH to their forehand · return−2.2±6.1−0.5−1.7

Jule Niemeier

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+7.8±4.7+2.2+5.6
FH to their forehand · return+3.0±6.3+0.2+2.9
FH to the middle · return+1.7±3.8−2.3+4.0
FH to the middle · rally+1.4±3.5±0.0+1.4
BH to the middle · rally+1.1±3.3−0.2+1.3
BH to their backhand · return−1.1±4.8+0.2−1.3

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−8.7±4.6−3.1−5.5
FH to their backhand · rally−6.5±4.9−2.8−3.7
FH to the middle · serve +1−6.2±3.8−3.0−3.1
FH to their forehand · return +1−4.2±5.7−5.0+0.7
FH to the middle · return +1−4.0±3.8−3.1−0.9

Against Jule Niemeier-like opponents

Xin Yu Wang vMatchesServe pts wonReturn pts won
All charted opponents–56.8%39.6%
Players most similar to Jule Niemeier1 62.3%33.8%

Similar by tactical fingerprint: Liudmila Samsonova, Nadia Podoroska, Maria Sakkari, Anastasia Pavlyuchenkova, Lulu Sun, Arianne Hartono, Caroline Garcia, Sabine Lisicki, Coco Vandeweghe. When two players have rarely met, their records against these lookalikes fill the gap.