RallyIQ

Game plan

Yafan Wang v Emma Raducanu

Every number combines what Yafan Wang does well with what Emma Raducanu allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Yafan Wang wins, best of 3 16%90%: 2%–52% · best of 5: 10%
Serve points won 53.7% / 61.4% Yafan / Emma · tour 55.0%
Strengths only, no similarity priors 16%serve 53.7% / 61.4%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Yafan Wang's record against Emma Raducanu'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

CareerYafanEmma
Direction choice−0.09 ±0.14
better than 37%
−0.02 ±0.05
better than 50%
Shot selection+0.23 ±0.17
better than 71%
−0.09 ±0.09
better than 35%
Execution−0.19 ±0.49
better than 50%
+0.76 ±0.31
better than 86%
Points left on the table2.70 ±0.16
lower than 33%
2.53 ±0.07
lower than 63%

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.

Structural compatibility

Expected edge per 100 rally shots from style alone: Yafan Wang +0.67, Emma Raducanu +1.72. Each player's shot mix weighted by their own skill with each shot and by how much the other gives up against it. This is why some rankings gaps don't hold in a given matchup.

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.

Yafan Wang serving

Deuce court

1st serveNowYafan winsv EmmaMatchupOptimal
Wide54%60%64%57.9%±6.746% ▼
Body21%64%57%63.4%±8.914% ▼
T25%68%68%67.2%±9.440% ▲

Optimal v Emma Raducanu: +0.1±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowYafan winsv EmmaMatchupOptimal
Wide44%63%64%61.5%±7.643%
Body21%47%59%50.0%±9.56% ▼
T36%63%64%62.5%±7.851% ▲

Optimal v Emma Raducanu: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.0 per 100 first serves in before the returner adjusts.

Emma Raducanu serving

Deuce court

1st serveNowEmma winsv YafanMatchupOptimal
Wide46%68%68%70.6%±6.361% ▲
Body25%56%62%60.6%±9.210% ▼
T29%68%77%77.1%±6.829%

Optimal v Yafan Wang: +0.9±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +7.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowEmma winsv YafanMatchupOptimal
Wide44%71%67%71.9%±6.460% ▲
Body17%51%56%50.4%±10.31% ▼
T39%63%68%66.6%±7.839%

Optimal v Yafan Wang: +1.6±1.1 per 100 first serves (faults included) over the current mix. Serving wide every time would read +5.6 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.

Yafan Wang returning

1st serve to the forehand

ReturnNowTourOwnv EmmaValue
FH through the middle49%+4.2+2.4+2.2+8.8±2.5
FH crosscourt17%+5.3+1.8+0.7+7.8±3.8
FH down the line14%+1.5+0.7−0.9+1.3±4.2
FH slice through the middle12%−6.7−2.1+2.1−6.7±2.3
FH slice crosscourt4%−6.6+0.1+0.3−6.2±2.4

Lean FH through the middle: +4.4±1.6 per 100 returns v the current mix (187 returns charted)

1st serve to the backhand

ReturnNowTourOwnv EmmaValue
BH through the middle47%+6.0±0.0−1.0+5.0±2.3
BH crosscourt27%+7.7+1.5−0.8+8.5±3.2
BH down the line12%+2.2−0.9−1.1+0.2±4.1
BH slice through the middle9%−6.2−0.3−1.0−7.5±2.4
BH slice crosscourt4%−4.2+0.7−0.6−4.1±2.6

Lean BH crosscourt: +4.6±2.6 per 100 returns v the current mix (182 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv EmmaValue
FH through the middle41%−3.2−0.1−1.6−5.0±2.4
FH crosscourt37%+0.5+1.2+1.9+3.6±3.8
FH down the line22%−0.6−2.0−1.2−3.8±4.4

Lean FH crosscourt: +5.1±2.8 per 100 returns v the current mix (46 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv EmmaValue
BH through the middle56%−2.6+0.2−1.2−3.6±2.5
BH crosscourt34%+1.5+1.6−1.4+1.7±3.3
BH down the line10%−0.5−2.3+0.7−2.1±4.6

Lean BH crosscourt: +3.3±2.6 per 100 returns v the current mix (98 returns charted)

Emma Raducanu returning

1st serve to the forehand

ReturnNowTourOwnv YafanValue
FH through the middle46%+4.2+2.0+1.3+7.4±2.4
FH crosscourt21%+5.3+1.9+0.3+7.5±4.0
FH down the line14%+1.5+5.0−0.4+6.1±4.5
FH slice through the middle12%−6.7+0.8−0.3−6.2±2.4
FH slice crosscourt4%−6.6+0.8−0.4−6.2±2.4

Lean FH crosscourt: +3.0±3.4 per 100 returns v the current mix (954 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv YafanValue
BH through the middle47%+6.0+2.7+2.4+11.2±2.3
BH crosscourt28%+7.7+3.2+0.8+11.6±3.3
BH slice through the middle11%−6.2+0.7+0.5−5.0±2.4
BH down the line10%+2.2+2.5+2.4+7.1±4.6
BH slice crosscourt3%−4.2+0.8+1.0−2.4±2.5

Lean BH crosscourt: +3.3±2.6 per 100 returns v the current mix (834 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv YafanValue
FH through the middle47%−3.2+2.1+2.2+1.1±2.9
FH crosscourt34%+0.5−0.1+1.2+1.7±4.4
FH down the line17%−0.6−0.2+1.7+0.9±5.2
FH slice through the middle2%−15.2+0.7±0.0−14.5±1.1

Lean FH crosscourt: +0.7±3.3 per 100 returns v the current mix (254 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv YafanValue
BH through the middle44%−2.6−0.5+0.7−2.3±2.5
BH crosscourt41%+1.5+0.3−1.1+0.7±3.3
BH down the line14%−0.5−2.5−1.0−4.0±5.1
BH slice through the middle1%−11.7−0.6±0.0−12.3±1.0

Lean BH crosscourt: +2.1±2.4 per 100 returns v the current mix (470 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.

Yafan Wang

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+8.7±4.1+4.4+4.2
FH to their forehand · serve +1+7.1±4.1+3.1+4.0
FH to the middle · serve +1+4.6±2.9+3.8+0.8
FH to their forehand · return+4.2±4.7+1.1+3.0
FH to their forehand · rally+2.7±4.0+0.5+2.3
BH to their backhand · return +1+2.7±3.8+0.8+1.9

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−5.5±4.8±0.0−5.5
FH to the middle · return +1−3.1±3.0−0.1−3.0
BH to their forehand · rally−1.7±4.6−3.0+1.3
BH to the middle · return−1.5±2.4−0.3−1.2
BH to the middle · rally−1.4±2.3+0.1−1.5

Emma Raducanu

Favour

ShotEdgeOwnTheirs
BH to their backhand · rally+7.5±3.6+2.2+5.3
FH to their forehand · rally+5.1±4.1+2.6+2.5
FH to their forehand · return +1+4.4±4.2+3.2+1.2
FH to their forehand · return+3.4±5.4+1.8+1.6
BH to the middle · return+3.0±2.5+0.8+2.2
BH to their backhand · return +1+2.6±4.2+0.2+2.5

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−2.6±4.9−1.6−1.1
BH to their forehand · rally−2.1±4.9−3.9+1.8
BH slice to their backhand · rally−0.2±3.3−0.4+0.2
BH to the middle · return +1−0.2±2.8−1.3+1.2
FH to the middle · return +1+0.2±3.0+0.5−0.2

Against Emma Raducanu-like opponents

Yafan Wang vMatchesServe pts wonReturn pts won
All charted opponents–53.0%39.0%

Similar by tactical fingerprint: Coco Gauff, Iva Jovic, Anna Kalinskaya, Anna Blinkova, Marie Bouzkova, Kimberly Birrell, Emma Navarro, Nao Hibino, Lin Zhu, Andrea Petkovic. When two players have rarely met, their records against these lookalikes fill the gap.