RallyIQ

Game plan

Lin Zhu v Varvara Gracheva

Every number combines what Lin Zhu does well with what Varvara Gracheva allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Lin Zhu wins, best of 3 45%90%: 8%–87% · best of 5: 44%
Serve points won 52.8% / 53.7% Lin / Varvara · tour 55.0%
Strengths only, no similarity priors 46%serve 52.9% / 53.6%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Lin Zhu's record against Varvara Gracheva's tactical lookalikes and in their charted head-to-heads (lookalikes: −3.0 on serve, −2.7 on return vs expectation (102 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

CareerLinVarvara
Direction choice−0.19 ±0.13
better than 18%
+0.06 ±0.12
better than 65%
Shot selection+0.09 ±0.16
better than 53%
+0.04 ±0.19
better than 49%
Execution−0.19 ±0.84
better than 50%
−0.42 ±0.65
better than 37%
Points left on the table2.64 ±0.17
lower than 45%
2.32 ±0.17
lower than 84%

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.

Lin Zhu serving

Deuce court

1st serveNowLin winsv VarvaraMatchupOptimal
Wide50%62%65%61.0%±8.566% ▲
Body23%64%51%58.0%±11.013% ▼
T26%57%66%55.4%±11.521% ▼

Optimal v Varvara Gracheva: +0.2±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowLin winsv VarvaraMatchupOptimal
Wide34%56%62%52.2%±10.319% ▼
Body25%55%60%58.3%±10.925%
T41%61%66%62.4%±9.456% ▲

Optimal v Varvara Gracheva: +0.6±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.5 per 100 first serves in before the returner adjusts.

Varvara Gracheva serving

Deuce court

1st serveNowVarvara winsv LinMatchupOptimal
Wide40%64%74%72.8%±7.855% ▲
Body30%52%59%53.9%±10.915% ▼
T30%64%73%69.7%±10.030%

Optimal v Lin Zhu: +1.1±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +6.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowVarvara winsv LinMatchupOptimal
Wide35%60%71%65.9%±10.250% ▲
Body27%48%60%51.5%±11.312% ▼
T38%56%64%55.1%±10.738%

Optimal v Lin Zhu: +0.7±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +8.0 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.

Lin Zhu returning

1st serve to the forehand

ReturnNowTourOwnv VarvaraValue
FH through the middle48%+4.2+1.1+3.3+8.5±2.9
FH crosscourt24%+5.3−1.8−2.1+1.4±4.4
FH down the line16%+1.5−0.6+1.1+2.1±4.7
FH slice through the middle6%−6.7−0.6+2.4−4.9±2.2
FH slice crosscourt5%−6.6−0.6+0.3−6.9±2.0

Lean FH through the middle: +4.4±2.0 per 100 returns v the current mix (185 returns charted)

1st serve to the backhand

ReturnNowTourOwnv VarvaraValue
BH through the middle46%+6.0±0.0+0.3+6.3±2.8
BH crosscourt32%+7.7−0.5+0.8+8.0±3.7
BH down the line11%+2.2+2.0−0.1+4.1±4.3
BH slice through the middle7%−6.2+0.1+0.7−5.4±2.0
BH slice crosscourt4%−4.2−0.2±0.0−4.4±1.2

Lean BH crosscourt: +2.6±2.8 per 100 returns v the current mix (136 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv VarvaraValue
BH through the middle47%−2.6−0.2−0.1−2.9±2.7
BH crosscourt32%+1.5+0.2−1.1+0.6±3.4
BH down the line21%−0.5+0.2−2.5−2.8±4.8

Lean BH crosscourt: +2.4±2.9 per 100 returns v the current mix (57 returns charted, inside the 90% margin)

Varvara Gracheva returning

1st serve to the forehand

ReturnNowTourOwnv LinValue
FH through the middle46%+4.2+1.0−1.0+4.1±2.8
FH crosscourt22%+5.3+0.4+3.1+8.8±4.4
FH down the line16%+1.5−1.7+2.1+2.0±4.7
FH slice through the middle9%−6.7−0.7+0.2−7.3±2.3
FH slice crosscourt5%−6.6+1.0+0.7−4.9±2.1

Lean FH crosscourt: +5.9±3.7 per 100 returns v the current mix (223 returns charted)

1st serve to the backhand

ReturnNowTourOwnv LinValue
BH through the middle42%+6.0+0.8+0.9+7.7±2.8
BH crosscourt32%+7.7+2.2+1.9+11.8±3.6
BH down the line10%+2.2−0.7+0.9+2.4±4.4
BH slice through the middle9%−6.2−0.6−1.8−8.6±2.2
BH slice crosscourt7%−4.2+0.1−1.2−5.3±2.3

Lean BH crosscourt: +5.8±2.8 per 100 returns v the current mix (183 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv LinValue
FH through the middle44%−3.2−0.3+3.5+0.1±2.9
FH crosscourt41%+0.5−1.5+2.6+1.6±4.0
FH down the line15%−0.6+2.8±0.0+2.2±4.3

Lean FH crosscourt: +0.6±2.8 per 100 returns v the current mix (41 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv LinValue
BH through the middle45%−2.6+0.2−0.4−2.8±2.8
BH crosscourt38%+1.5+1.4+2.4+5.2±3.6
BH down the line16%−0.5−0.9+4.2+2.8±4.8

Lean BH crosscourt: +4.0±2.7 per 100 returns v the current mix (99 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 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.

Lin Zhu

Favour

ShotEdgeOwnTheirs
FH to the middle · return+6.6±3.8+3.4+3.2
BH to their backhand · serve +1+3.6±4.4+1.4+2.2
BH to the middle · rally+3.6±3.0+2.5+1.1
FH to the middle · serve +1+3.0±3.1+1.9+1.1
FH to their forehand · return +1+2.1±4.0+0.2+1.8
BH to the middle · return+2.0±3.5−0.5+2.5

Avoid

ShotEdgeOwnTheirs
BH to their forehand · serve +1−8.2±6.4−4.8−3.4
BH to their backhand · return +1−2.9±4.2−0.9−2.0
FH to their backhand · serve +1−1.9±4.8−2.5+0.6
BH to their forehand · rally−1.3±5.4−1.0−0.3
FH to their forehand · serve +1−1.3±4.9−1.4+0.1

Varvara Gracheva

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+4.0±4.4−0.4+4.4
BH to their backhand · return +1+3.7±4.1+1.4+2.4
BH to their forehand · return+3.5±5.4−0.2+3.7
BH to their backhand · serve +1+3.3±4.2+1.9+1.4
BH to their backhand · return+2.7±4.4−0.8+3.5
FH to the middle · serve +1+1.7±2.8−0.3+2.0

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−6.5±5.6−2.9−3.6
BH to the middle · rally−5.2±3.1−3.2−2.0
FH to their backhand · rally−4.8±4.9−1.2−3.6
FH to the middle · return +1−4.0±2.8−1.9−2.2
FH to their forehand · rally−1.6±4.7−4.2+2.6

Against Varvara Gracheva-like opponents

Lin Zhu vMatchesServe pts wonReturn pts won
All charted opponents–51.5%38.8%
Players most similar to Varvara Gracheva1 45.3%32.7%

Similar by tactical fingerprint: Iva Jovic, Anastasia Potapova, Anna Blinkova, Iga Swiatek, Kimberly Birrell, Emma Raducanu, Yue Yuan, Eugenie Bouchard, R, Andrea Petkovic. When two players have rarely met, their records against these lookalikes fill the gap.