RallyIQ

Game plan

Guillermo Coria v Zhizhen Zhang

Every number combines what Guillermo Coria does well with what Zhizhen Zhang allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Guillermo Coria wins, best of 3 96%90%: 84%–99% · best of 5: 99%
Serve points won 69.7% / 55.6% Guillermo / Zhizhen · tour 61.3%
Strengths only, no similarity priors 96%serve 69.7% / 55.6%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerGuillermoZhizhen
Direction choice+0.01 ±0.16
better than 60%
−0.06 ±0.09
better than 41%
Shot selection−0.12 ±0.21
better than 37%
+0.03 ±0.20
better than 54%
Execution+0.97 ±0.53
better than 95%
−0.36 ±0.66
better than 51%
Points left on the table2.43 ±0.21
lower than 70%
2.50 ±0.14
lower than 61%

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.

Guillermo Coria serving

Deuce court

1st serveNowGuillermo winsv ZhizhenMatchupOptimal
Wide53%64%81%74.0%±5.666% ▲
Body10%71%65%72.9%±10.210%
T37%68%77%71.0%±7.124% ▼

Optimal v Zhizhen Zhang: +0.5±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowGuillermo winsv ZhizhenMatchupOptimal
Wide55%62%78%68.8%±6.057% ▲
Body12%63%67%67.3%±11.60% ▼
T33%63%77%69.8%±7.243% ▲

Optimal v Zhizhen Zhang: +0.4±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +0.9 per 100 first serves in before the returner adjusts.

Zhizhen Zhang serving

Deuce court

1st serveNowZhizhen winsv GuillermoMatchupOptimal
Wide43%72%69%68.6%±6.456% ▲
Body7%69%55%62.0%±12.50% ▼
T50%76%70%70.9%±6.244% ▼

Optimal v Guillermo Coria: +0.1±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowZhizhen winsv GuillermoMatchupOptimal
Wide44%69%65%60.1%±7.230% ▼
Body8%57%65%58.6%±13.48%
T49%75%74%77.3%±5.962% ▲

Optimal v Guillermo Coria: +1.2±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +9.0 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.

Guillermo Coria returning

1st serve to the forehand

ReturnNowTourOwnv ZhizhenValue
FH through the middle47%+4.3−0.6−0.6+3.0±2.5
FH crosscourt27%+5.5+0.6−0.8+5.3±4.3
FH down the line13%+1.7±0.0+0.6+2.3±4.5
FH slice through the middle10%−4.2+0.9−1.6−4.9±2.3
FH slice crosscourt4%−4.3±0.0−1.7−6.1±2.4

Lean FH crosscourt: +2.9±3.4 per 100 returns v the current mix (384 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv ZhizhenValue
BH through the middle49%+6.4−1.8−0.4+4.3±2.3
BH crosscourt33%+8.8+0.1+0.7+9.7±3.3
BH down the line7%+4.2+0.5+1.2+6.0±4.6
BH slice through the middle6%−4.2−1.7−0.9−6.8±2.4
BH slice crosscourt3%+0.5−3.1−2.3−4.9±2.8

Lean BH crosscourt: +4.7±2.5 per 100 returns v the current mix (481 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ZhizhenValue
FH through the middle47%−3.5+1.1−1.1−3.4±2.8
FH crosscourt37%−0.2+3.4+2.3+5.5±4.4
FH down the line12%−1.8+0.4−1.4−2.7±4.4
BH through the middle4%+0.1+0.3−0.7−0.2±1.5

Lean FH crosscourt: +5.4±3.1 per 100 returns v the current mix (139 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv ZhizhenValue
BH crosscourt41%+1.0−0.1−0.5+0.4±2.8
BH through the middle38%−2.9+2.5−0.7−1.1±2.1
BH down the line9%−0.2−1.1+1.6+0.3±5.0
FH through the middle5%−2.9+0.6−1.1−3.4±2.3
FH inside-in4%+0.6−0.9+2.3+1.9±4.0

Lean FH inside-in: +2.3±4.2 per 100 returns v the current mix (399 returns charted, inside the 90% margin)

Zhizhen Zhang returning

1st serve to the forehand

ReturnNowTourOwnv GuillermoValue
FH through the middle40%+4.3+0.5+1.7+6.4±2.6
FH crosscourt23%+5.5±0.0+2.0+7.6±4.2
FH slice through the middle14%−4.2−0.2−0.6−5.0±2.3
FH down the line13%+1.7−5.0+1.8−1.5±4.4
FH slice crosscourt6%−4.3−2.7+0.6−6.4±2.3

Lean FH crosscourt: +4.7±3.4 per 100 returns v the current mix (342 returns charted)

1st serve to the backhand

ReturnNowTourOwnv GuillermoValue
BH through the middle37%+6.4+1.7+1.0+9.1±2.4
BH crosscourt27%+8.8+1.6+1.2+11.6±3.1
BH slice through the middle12%−4.2−1.2+1.4−4.0±2.5
BH slice crosscourt11%+0.5+0.9+4.0+5.4±3.0
BH down the line9%+4.2+0.2+1.6+6.0±4.6

Lean BH crosscourt: +4.8±2.5 per 100 returns v the current mix (368 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv GuillermoValue
FH through the middle45%−3.5−2.6+1.3−4.8±2.8
FH crosscourt35%−0.2+0.8+3.1+3.7±4.2
FH down the line20%−1.8−0.8+3.0+0.4±4.3

Lean FH crosscourt: +4.5±3.1 per 100 returns v the current mix (100 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv GuillermoValue
BH through the middle54%−2.9+2.0+0.3−0.5±2.4
BH crosscourt38%+1.0+1.3−0.2+2.2±3.2
BH down the line7%−0.2−1.2−0.3−1.8±4.7

Lean BH crosscourt: +1.8±2.4 per 100 returns v the current mix (268 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.

Guillermo Coria

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+8.4±3.8+1.2+7.2
FH to their forehand · serve +1+8.0±4.8+3.3+4.6
BH to their forehand · return+7.8±5.9+5.3+2.5
BH to their forehand · serve +1+7.5±6.3+3.6+3.9
FH to their forehand · return+6.4±5.6+1.8+4.6
BH to their forehand · return +1+5.8±6.4+2.6+3.2

Avoid

ShotEdgeOwnTheirs
BH slice to the middle · rally−2.8±2.9−1.5−1.3
BH to the middle · rally−1.7±2.3+1.1−2.8
FH to the middle · rally−1.1±2.4+0.9−2.0
BH slice to their backhand · rally−0.3±3.2−1.0+0.8
FH to their forehand · return +1+0.2±5.5+0.4−0.1

Zhizhen Zhang

Favour

ShotEdgeOwnTheirs
BH to their backhand · return+7.0±3.3+3.2+3.8
BH to the middle · return+5.4±2.7+3.0+2.3
FH to their forehand · return+4.5±4.3+1.1+3.4
FH to their backhand · serve +1+3.5±3.9+1.8+1.6
BH to their forehand · return+2.0±6.0−1.5+3.5
FH to their backhand · return+1.5±4.7−2.9+4.3

Avoid

ShotEdgeOwnTheirs
FH to the middle · serve +1−5.6±3.4−2.2−3.4
BH to their forehand · serve +1−5.1±6.5+0.9−5.9
FH to the middle · rally−4.6±2.7−4.8+0.3
FH to the middle · return +1−3.8±3.1+0.3−4.0
FH to their forehand · return +1−3.6±4.8−1.7−1.9

Against Zhizhen Zhang-like opponents

Guillermo Coria vMatchesServe pts wonReturn pts won
All charted opponents–59.0%39.8%

Similar by tactical fingerprint: Jiri Lehecka, Arthur Rinderknech, Nuno Borges, Alexander Shevchenko, Zizou Bergs, Mackenzie Mcdonald, Fabio Fognini, Otto Virtanen, Borna Coric, Kevin Anderson. When two players have rarely met, their records against these lookalikes fill the gap.