RallyIQ

Game plan

Lulu Sun v Liudmila Samsonova

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

Forecast

Lulu Sun wins, best of 3 36%90%: 14%–64% · best of 5: 32%
Serve points won 61.6% / 64.6% Lulu / Liudmila · tour 56.4%
Strengths only, no similarity priors 36%serve 61.7% / 64.5%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Lulu Sun's record against Liudmila Samsonova's tactical lookalikes and in their charted head-to-heads (head-to-head: −1.2 on serve, −2.1 on return vs expectation (125 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

CareerLuluLiudmila
Direction choice−0.04 ±0.13
better than 48%
−0.05 ±0.05
better than 46%
Shot selection+0.31 ±0.35
better than 79%
+0.65 ±0.06
better than 97%
Execution−0.39 ±1.24
better than 39%
−1.48 ±0.54
better than 10%
Points left on the table2.91 ±0.34
lower than 16%
2.55 ±0.08
lower than 60%

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.

Lulu Sun serving

Deuce court

1st serveNowLulu winsv LiudmilaMatchupOptimal
Wide30%67%69%70.0%±8.934% ▲
Body24%53%57%51.8%±10.09% ▼
T45%69%71%71.5%±7.657% ▲

Optimal v Liudmila Samsonova: +0.9±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowLulu winsv LiudmilaMatchupOptimal
Wide42%73%65%72.5%±7.741%
Body16%62%60%65.7%±11.11% ▼
T42%84%65%84.8%±6.558% ▲

Optimal v Liudmila Samsonova: +1.2±1.1 per 100 first serves (faults included) over the current mix. Serving T every time would read +8.2 per 100 first serves in before the returner adjusts.

Liudmila Samsonova serving

Deuce court

1st serveNowLiudmila winsv LuluMatchupOptimal
Wide51%69%70%73.4%±6.366% ▲
Body16%66%53%61.6%±10.21% ▼
T34%81%71%82.6%±6.833%

Optimal v Lulu Sun: +0.9±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +8.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowLiudmila winsv LuluMatchupOptimal
Wide40%72%71%77.0%±7.155% ▲
Body20%59%58%60.1%±10.35% ▼
T40%70%65%70.1%±7.540%

Optimal v Lulu Sun: +0.8±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +6.1 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.

Lulu Sun returning

1st serve to the forehand

ReturnNowTourOwnv LiudmilaValue
FH through the middle59%+4.2−0.2−0.6+3.4±2.8
FH crosscourt26%+5.3+0.9−5.9+0.4±4.1
FH down the line15%+1.5−3.0+0.5−0.9±4.1

Lean FH through the middle: +1.4±1.7 per 100 returns v the current mix (95 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv LiudmilaValue
BH through the middle46%+6.0−1.6−2.6+1.8±2.5
BH crosscourt27%+7.7+2.1−1.7+8.1±3.5
BH slice through the middle12%−6.2±0.0−1.4−7.6±2.5
BH slice crosscourt8%−4.2−3.5−2.0−9.6±2.7
BH down the line7%+2.2−0.5−2.0−0.3±4.2

Lean BH crosscourt: +6.8±2.9 per 100 returns v the current mix (214 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv LiudmilaValue
BH crosscourt48%+1.5−1.3−2.4−2.2±3.6
BH through the middle46%−2.6−0.1−2.0−4.7±2.4
FH through the middle6%−2.7−0.5−0.9−4.1±1.8

Lean BH crosscourt: +1.2±2.2 per 100 returns v the current mix (87 returns charted, inside the 90% margin)

Liudmila Samsonova returning

1st serve to the forehand

ReturnNowTourOwnv LuluValue
FH through the middle55%+4.2−1.2−0.1+2.9±2.7
FH down the line22%+1.5−4.5−2.8−5.8±4.2
FH crosscourt21%+5.3±0.0−2.7+2.6±4.1
FH slice through the middle2%−6.7−2.0−1.5−10.2±2.1

Lean FH through the middle: +2.2±1.8 per 100 returns v the current mix (633 returns charted)

1st serve to the backhand

ReturnNowTourOwnv LuluValue
BH through the middle51%+6.0−1.7+1.2+5.6±2.5
BH crosscourt25%+7.7−0.1−1.4+6.2±3.3
BH down the line18%+2.2−2.2−5.2−5.3±4.5
BH slice through the middle3%−6.2−0.7+1.3−5.6±2.3
BH slice down the line2%−12.5−0.4−1.5−14.4±2.6

Lean BH crosscourt: +3.2±2.9 per 100 returns v the current mix (655 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv LuluValue
FH through the middle58%−3.2−0.6+2.4−1.4±3.1
FH crosscourt27%+0.5−2.2−1.6−3.2±3.9
FH down the line15%−0.6−2.2−7.2−9.9±4.9

Lean FH through the middle: +1.8±1.8 per 100 returns v the current mix (108 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv LuluValue
BH through the middle48%−2.6−1.3−0.1−4.0±2.6
BH crosscourt30%+1.5−1.1+2.5+2.9±3.5
BH down the line13%−0.5−3.6−2.3−6.5±5.1
FH through the middle6%−2.7−1.4+2.4−1.6±2.6
FH inside-in2%+0.7−0.4−1.6−1.3±3.3

Lean BH crosscourt: +5.0±2.8 per 100 returns v the current mix (372 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 hard. Each player's hard record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Lulu Sun

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+3.7±4.5+3.1+0.7
BH to their forehand · return+2.1±5.7+4.0−1.9
FH to their forehand · serve +1+1.4±5.0+3.0−1.6
FH to their backhand · rally+1.3±4.8+1.9−0.6
BH to their forehand · rally−0.5±5.9+0.2−0.7
FH to the middle · rally−0.8±3.1+0.8−1.6

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return +1−6.5±5.9−2.7−3.8
FH to the middle · return−6.4±3.4−4.1−2.3
BH to the middle · rally−5.9±3.0−4.8−1.1
BH to the middle · return−3.6±2.9−0.1−3.4
FH to their backhand · serve +1−3.3±5.3−0.2−3.1

Liudmila Samsonova

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+4.9±4.9+0.8+4.2
FH to their backhand · return +1+4.8±5.7−1.0+5.8
FH to their backhand · serve +1+2.1±5.0+1.7+0.4
FH to their forehand · rally+1.2±4.3−1.4+2.7
FH to their backhand · rally−0.3±4.8−1.1+0.9
BH to their forehand · return−1.3±5.8−4.5+3.2

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−6.1±4.2−3.4−2.7
BH to their forehand · rally−5.9±6.5−4.1−1.7
FH to the middle · rally−5.1±3.2−3.9−1.1
BH to the middle · rally−4.2±2.9−2.9−1.3
BH to the middle · return−3.0±3.0−1.7−1.3

Against Liudmila Samsonova-like opponents

Lulu Sun vMatchesServe pts wonReturn pts won
All charted opponents–62.3%39.1%
Liudmila Samsonova (charted head-to-head)1 57.7%35.6%

Similar by tactical fingerprint: Madison Keys, Xin Yu Wang, Jessica Bouzas Maneiro, Petra Kvitova, Jule Niemeier, Caroline Garcia, Rebecca Marino, Sabine Lisicki, Coco Vandeweghe. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head