RallyIQ

Game plan

Daria Saville v Yafan Wang

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

Forecast

Daria Saville wins, best of 3 56%90%: 17%–89% · best of 5: 58%
Serve points won 58.4% / 57.3% Daria / Yafan · tour 58.1%
Strengths only, no similarity priors 58%serve 59.2% / 57.6%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Daria Saville's record against Yafan Wang's tactical lookalikes and in their charted head-to-heads (lookalikes: −24.6 on serve, +9.1 on return vs expectation (107 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

CareerDariaYafan
Direction choice+0.06 ±0.20
better than 67%
−0.09 ±0.14
better than 37%
Shot selection−0.41 ±0.34
better than 16%
+0.23 ±0.17
better than 71%
Execution+0.28 ±0.46
better than 71%
−0.19 ±0.49
better than 50%
Points left on the table2.68 ±0.22
lower than 36%
2.70 ±0.16
lower than 33%

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: Daria Saville +1.52, Yafan Wang +0.78. 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.

Daria Saville serving

Deuce court

1st serveNowDaria winsv YafanMatchupOptimal
Wide43%59%68%61.9%±8.638% ▼
Body21%55%62%59.6%±11.210% ▼
T37%64%77%74.4%±8.352% ▲

Optimal v Yafan Wang: +0.5±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +8.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowDaria winsv YafanMatchupOptimal
Wide56%62%67%63.5%±8.471% ▲
Body16%55%56%54.4%±12.41% ▼
T28%61%68%64.5%±10.028%

Optimal v Yafan Wang: +0.5±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.2 per 100 first serves in before the returner adjusts.

Yafan Wang serving

Deuce court

1st serveNowYafan winsv DariaMatchupOptimal
Wide54%60%59%52.2%±8.939% ▼
Body21%64%56%63.1%±11.521%
T25%68%68%68.1%±10.240% ▲

Optimal v Daria Saville: +0.5±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +9.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowYafan winsv DariaMatchupOptimal
Wide44%63%61%58.6%±9.243%
Body21%47%60%50.7%±13.26% ▼
T36%63%68%67.2%±9.251% ▲

Optimal v Daria Saville: +1.2±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +7.2 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.

Daria Saville returning

1st serve to the forehand

ReturnNowTourOwnv YafanValue
FH through the middle50%+4.2+1.4+1.3+6.8±2.9
FH crosscourt25%+5.3−0.2+0.3+5.4±4.4
FH down the line17%+1.5−1.5−0.4−0.4±4.7
FH slice through the middle5%−6.7+0.6−0.3−6.4±2.1
BH through the middle3%+5.2+0.7+2.4+8.4±2.2

Lean FH through the middle: +2.2±2.0 per 100 returns v the current mix (208 returns charted)

1st serve to the backhand

ReturnNowTourOwnv YafanValue
BH through the middle36%+6.0+1.9+2.4+10.3±2.7
BH slice through the middle21%−6.2−0.4+0.5−6.1±2.4
BH crosscourt17%+7.7−1.9+0.8+6.6±3.7
BH down the line12%+2.2+1.5+2.4+6.1±4.6
BH slice crosscourt12%−4.2−1.7+1.0−4.9±2.6

Lean BH through the middle: +6.9±2.0 per 100 returns v the current mix (273 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv YafanValue
FH down the line38%−0.6+2.3+1.7+3.4±5.0
FH through the middle38%−3.2−1.6+2.2−2.5±2.9
FH crosscourt25%+0.5−1.1+1.2+0.6±4.1

Lean FH down the line: +2.9±3.5 per 100 returns v the current mix (56 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv YafanValue
BH through the middle26%−2.6+0.1+0.7−1.8±2.8
FH inside-out23%+1.4+0.7+1.7+3.7±4.3
BH crosscourt20%+1.5+0.7−1.1+1.1±3.7
FH through the middle18%−2.7−0.7+2.2−1.2±2.6
BH down the line9%−0.5+0.6−1.0−0.9±4.8

Lean FH inside-out: +3.2±3.5 per 100 returns v the current mix (180 returns charted, inside the 90% margin)

Yafan Wang returning

1st serve to the forehand

ReturnNowTourOwnv DariaValue
FH through the middle49%+4.2+2.4+0.1+6.7±3.0
FH crosscourt17%+5.3+1.8+3.5+10.6±4.2
FH down the line14%+1.5+0.7+0.8+3.1±4.6
FH slice through the middle12%−6.7−2.1+1.2−7.6±2.4
FH slice crosscourt4%−6.6+0.1+0.4−6.1±1.7

Lean FH crosscourt: +6.6±3.9 per 100 returns v the current mix (187 returns charted)

1st serve to the backhand

ReturnNowTourOwnv DariaValue
BH through the middle47%+6.0±0.0+0.2+6.2±2.7
BH crosscourt27%+7.7+1.5+0.9+10.1±3.5
BH down the line12%+2.2−0.9+0.4+1.6±4.5
BH slice through the middle9%−6.2−0.3−2.0−8.5±2.3
BH slice crosscourt4%−4.2+0.7+1.8−1.7±2.5

Lean BH crosscourt: +5.1±2.9 per 100 returns v the current mix (182 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv DariaValue
FH through the middle41%−3.2−0.1+0.6−2.8±2.9
FH crosscourt37%+0.5+1.2+1.3+3.0±4.2
FH down the line22%−0.6−2.0−1.9−4.5±4.6

Lean FH crosscourt: +4.0±3.1 per 100 returns v the current mix (46 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv DariaValue
BH through the middle56%−2.6+0.2−0.5−2.9±2.8
BH crosscourt34%+1.5+1.6+0.5+3.5±3.6
BH down the line10%−0.5−2.3+0.9−1.9±4.3

Lean BH crosscourt: +4.2±2.9 per 100 returns v the current mix (98 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 grass. Each player's grass record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Daria Saville

Favour

ShotEdgeOwnTheirs
FH to their forehand · return +1+6.3±4.7+5.1+1.2
BH to the middle · return+3.2±2.9+1.1+2.2
BH to the middle · rally+3.0±2.2+2.3+0.7
BH to their backhand · return +1+2.9±3.6+2.4+0.5
BH to the middle · return +1+2.8±2.6+1.6+1.2
FH to their forehand · serve +1+2.6±4.5+1.4+1.2

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return +1−0.3±4.2+1.9−2.2
FH to the middle · serve +1+0.1±2.7+0.5−0.3
FH to their backhand · return+0.2±4.2−0.6+0.7
FH to their forehand · return+0.2±5.1−0.5+0.7
BH to their forehand · rally+0.3±4.7−1.4+1.8

Yafan Wang

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+5.2±4.6+3.1+2.1
FH to their forehand · return+4.5±4.2+1.1+3.4
FH to the middle · serve +1+3.7±2.7+3.8−0.1
FH to their backhand · rally+3.6±4.0+2.9+0.7
BH to the middle · return +1+3.0±2.6+1.3+1.7
BH to their backhand · return+2.4±3.3+0.7+1.7

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−3.9±4.5−3.0−0.9
FH to their backhand · serve +1−2.1±3.7−1.5−0.6
FH to their forehand · rally−2.0±3.8+0.2−2.2
FH to their forehand · return +1−1.6±4.6−3.2+1.5
FH to their backhand · return−0.6±4.4±0.0−0.6

Against Yafan Wang-like opponents

Daria Saville vMatchesServe pts wonReturn pts won
All charted opponents–53.7%43.0%
Players most similar to Yafan Wang1 30.0%52.6%

Similar by tactical fingerprint: Coco Gauff, Anastasia Potapova, Marie Bouzkova, Emma Navarro, Emma Raducanu, Nao Hibino, Shelby Rogers, Tereza Martincova, Louisa Chirico, Elena Dementieva. When two players have rarely met, their records against these lookalikes fill the gap.