RallyIQ

Game plan

Diana Shnaider v Lulu Sun

Every number combines what Diana Shnaider does well with what Lulu Sun allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Diana Shnaider wins, best of 3 48%90%: 20%–78% · best of 5: 48%
Serve points won 59.5% / 59.8% Diana / Lulu · tour 56.3%
Strengths only, no similarity priors 48%serve 59.5% / 59.8%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerDianaLulu
Direction choice−0.09 ±0.05
better than 36%
−0.04 ±0.13
better than 48%
Shot selection−0.15 ±0.14
better than 31%
+0.31 ±0.35
better than 79%
Execution+0.13 ±0.41
better than 67%
−0.39 ±1.24
better than 39%
Points left on the table3.07 ±0.10
lower than 8%
2.91 ±0.34
lower than 16%

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.

Diana Shnaider serving

Deuce court

1st serveNowDiana winsv LuluMatchupOptimal
Wide28%67%70%71.2%±7.343% ▲
Body33%61%53%56.6%±9.718% ▼
T39%62%71%65.6%±9.839%

Optimal v Lulu Sun: +1.0±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +6.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowDiana winsv LuluMatchupOptimal
Wide46%65%71%70.7%±8.061% ▲
Body23%62%58%63.1%±9.98% ▼
T31%68%65%68.7%±7.931%

Optimal v Lulu Sun: +1.0±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.4 per 100 first serves in before the returner adjusts.

Lulu Sun serving

Deuce court

1st serveNowLulu winsv DianaMatchupOptimal
Wide30%67%67%68.3%±9.046% ▲
Body24%53%65%59.9%±10.79% ▼
T45%69%71%72.0%±8.045%

Optimal v Diana Shnaider: +0.7±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowLulu winsv DianaMatchupOptimal
Wide42%73%71%77.6%±7.141%
Body16%62%60%65.5%±11.41% ▼
T42%84%66%85.0%±6.458% ▲

Optimal v Diana Shnaider: +0.8±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.2 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.

Diana Shnaider returning

1st serve to the forehand

ReturnNowTourOwnv LuluValue
FH through the middle45%+4.2+0.7−0.1+4.8±2.9
FH crosscourt26%+5.3−0.8−2.8+1.7±4.1
FH slice through the middle12%−6.7±0.0−1.5−8.2±2.4
FH down the line8%+1.5−0.7−2.7−1.8±4.6
FH slice crosscourt7%−6.6+0.6±0.0−6.0±1.9

Lean FH through the middle: +3.9±2.0 per 100 returns v the current mix (390 returns charted)

1st serve to the backhand

ReturnNowTourOwnv LuluValue
BH through the middle39%+6.0−0.4+1.2+6.8±2.5
BH slice through the middle19%−6.2+1.1+1.3−3.8±2.2
BH crosscourt18%+7.7−2.2−5.2+0.3±3.5
BH down the line12%+2.2+3.2−1.4+3.9±4.5
BH slice crosscourt6%−4.2−0.9−1.5−6.6±2.6

Lean BH through the middle: +5.4±1.8 per 100 returns v the current mix (685 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv LuluValue
FH crosscourt48%+0.5+2.1−7.2−4.6±4.4
FH through the middle37%−3.2−1.1+2.4−1.9±3.1
FH down the line15%−0.6−0.7−1.6−2.9±4.2

Lean FH through the middle: +1.4±3.0 per 100 returns v the current mix (93 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv LuluValue
BH through the middle53%−2.6+1.9−0.1−0.8±2.5
BH crosscourt33%+1.5+0.5−2.3−0.3±3.3
BH down the line10%−0.5+0.4+2.5+2.3±5.3
BH slice through the middle2%−11.7−0.3±0.0−11.9±1.2
FH through the middle1%−2.7+0.1+2.4−0.1±2.2

Lean BH down the line: +2.9±5.0 per 100 returns v the current mix (429 returns charted, inside the 90% margin)

Lulu Sun returning

1st serve to the forehand

ReturnNowTourOwnv DianaValue
FH through the middle59%+4.2−0.2−0.4+3.6±2.7
FH crosscourt26%+5.3+0.9−6.0+0.2±4.1
FH down the line15%+1.5−3.0−0.3−1.8±4.0

Lean FH through the middle: +1.7±1.7 per 100 returns v the current mix (95 returns charted)

1st serve to the backhand

ReturnNowTourOwnv DianaValue
BH through the middle46%+6.0−1.6+1.2+5.6±2.3
BH crosscourt27%+7.7+2.1−1.8+8.0±3.3
BH slice through the middle12%−6.2±0.0−0.8−7.0±2.5
BH slice crosscourt8%−4.2−3.5+1.1−6.6±2.5
BH down the line7%+2.2−0.5+1.1+2.8±4.0

Lean BH crosscourt: +4.4±2.7 per 100 returns v the current mix (214 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv DianaValue
BH crosscourt48%+1.5−1.3−1.3−1.1±3.6
BH through the middle46%−2.6−0.1+3.1+0.4±2.4
FH through the middle6%−2.7−0.5+1.9−1.2±2.0

Lean BH through the middle: +0.8±2.2 per 100 returns v the current mix (87 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.

Diana Shnaider

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+3.3±3.1+1.1+2.2
FH to their backhand · rally+3.1±3.1+2.0+1.1
BH to the middle · serve +1+1.7±2.4+0.7+0.9
BH to their forehand · return+1.6±4.0+0.8+0.8
FH to their backhand · return +1+1.5±3.8−2.0+3.5
BH to their forehand · rally+1.4±3.8+1.1+0.3

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−1.8±3.1−0.7−1.1
BH to the middle · rally−0.3±2.0±0.0−0.4
FH to the middle · serve +1−0.3±2.4+0.3−0.6
FH to the middle · return+0.1±2.5−0.5+0.7
FH to the middle · rally+0.2±2.3+0.3±0.0

Lulu Sun

Favour

ShotEdgeOwnTheirs
FH to their backhand · return +1+3.2±3.8+0.8+2.3
FH to their forehand · rally+3.1±3.3+0.8+2.2
FH to their backhand · rally+1.9±3.0+2.0−0.1
BH to their forehand · return+1.7±3.8+2.3−0.6
BH to their forehand · rally+1.7±3.7−1.0+2.7
FH to their forehand · serve +1+1.7±3.5+3.2−1.5

Avoid

ShotEdgeOwnTheirs
BH to the middle · rally−2.5±2.2−4.0+1.4
FH to their backhand · serve +1−2.5±3.7−0.8−1.7
FH to the middle · serve +1−1.9±2.5−1.4−0.5
FH to the middle · return−0.8±2.4−1.5+0.7
FH to the middle · rally−0.6±2.2+0.9−1.5

Against Lulu Sun-like opponents

Diana Shnaider vMatchesServe pts wonReturn pts won
All charted opponents–57.9%41.7%

Similar by tactical fingerprint: Alexandra Eala, Xin Yu Wang, Marta Kostyuk, Robin Montgomery, Katie Boulter, Arianne Hartono, Jule Niemeier, Caroline Garcia, Eugenie Bouchard. When two players have rarely met, their records against these lookalikes fill the gap.