RallyIQ

Game plan

Zhizhen Zhang v Ricardas Berankis

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

Forecast

Zhizhen Zhang wins, best of 3 40%90%: 14%–72% · best of 5: 38%
Serve points won 62.4% / 64.3% Zhizhen / Ricardas · tour 63.4%
Strengths only, no similarity priors 40%serve 62.4% / 64.3%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerZhizhenRicardas
Direction choice−0.06 ±0.09
better than 41%
−0.04 ±0.13
better than 47%
Shot selection+0.03 ±0.20
better than 54%
+0.30 ±0.24
better than 79%
Execution−0.36 ±0.66
better than 51%
−1.82 ±0.66
better than 6%

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.

Zhizhen Zhang serving

Deuce court

1st serveNowZhizhen winsv RicardasMatchupOptimal
Wide43%72%73%72.7%±8.237% ▼
Body7%69%66%71.9%±12.00% ▼
T50%76%75%75.4%±8.263% ▲

Optimal v Ricardas Berankis: +0.1±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowZhizhen winsv RicardasMatchupOptimal
Wide44%69%71%66.4%±9.238% ▼
Body8%57%74%69.1%±13.80% ▼
T49%75%70%73.6%±8.162% ▲

Optimal v Ricardas Berankis: +1.0±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.5 per 100 first serves in before the returner adjusts.

Ricardas Berankis serving

Deuce court

1st serveNowRicardas winsv ZhizhenMatchupOptimal
Wide31%64%81%74.5%±8.344% ▲
Body15%59%65%60.8%±13.62% ▼
T54%70%77%72.3%±8.154%

Optimal v Zhizhen Zhang: +1.0±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRicardas winsv ZhizhenMatchupOptimal
Wide40%63%78%70.3%±8.937% ▼
Body10%52%67%56.2%±15.60% ▼
T50%68%77%74.0%±8.063% ▲

Optimal v Zhizhen Zhang: +0.9±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.3 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.

Zhizhen Zhang returning

1st serve to the forehand

ReturnNowTourOwnv RicardasValue
FH through the middle40%+4.3+0.5+0.9+5.6±2.9
FH crosscourt23%+5.5±0.0+0.9+6.5±4.1
FH slice through the middle14%−4.2−0.2−0.1−4.5±2.3
FH down the line13%+1.7−5.0+1.7−1.6±4.5
FH slice crosscourt6%−4.3−2.7±0.0−7.0±1.9

Lean FH crosscourt: +4.2±3.4 per 100 returns v the current mix (342 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RicardasValue
BH through the middle37%+6.4+1.7+1.8+10.0±2.7
BH crosscourt27%+8.8+1.6±0.0+10.4±3.4
BH slice through the middle12%−4.2−1.2+0.3−5.1±2.4
BH slice crosscourt11%+0.5+0.9+0.9+2.4±2.7
BH down the line9%+4.2+0.2+1.6+6.0±4.1

Lean BH crosscourt: +4.1±2.8 per 100 returns v the current mix (368 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RicardasValue
FH through the middle45%−3.5−2.6+1.4−4.7±2.9
FH crosscourt35%−0.2+0.8+1.1+1.6±4.0
FH down the line20%−1.8−0.8+0.3−2.3±4.4

Lean FH crosscourt: +3.6±3.0 per 100 returns v the current mix (100 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv RicardasValue
BH through the middle54%−2.9+2.0+1.8+1.0±2.4
BH crosscourt38%+1.0+1.3−0.1+2.2±3.2
BH down the line7%−0.2−1.2−0.2−1.7±4.6

Lean BH crosscourt: +1.0±2.4 per 100 returns v the current mix (268 returns charted, inside the 90% margin)

Ricardas Berankis returning

1st serve to the forehand

ReturnNowTourOwnv ZhizhenValue
FH through the middle55%+4.3−3.8−0.6−0.2±2.8
FH crosscourt28%+5.5+0.6−0.8+5.3±4.3
FH down the line17%+1.7+0.8+0.6+3.0±4.3

Lean FH crosscourt: +3.4±3.6 per 100 returns v the current mix (114 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv ZhizhenValue
BH through the middle36%+6.4−0.1−0.4+6.0±2.7
BH slice through the middle28%−4.2−1.0−0.9−6.1±2.4
BH crosscourt21%+8.8−0.5+0.7+9.0±3.4
BH slice crosscourt10%+0.5−1.4−2.3−3.2±2.7
BH down the line5%+4.2−2.9+1.2+2.5±3.9

Lean BH crosscourt: +6.9±3.0 per 100 returns v the current mix (111 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv ZhizhenValue
BH through the middle49%−2.9−0.7−0.7−4.3±2.3
BH crosscourt30%+1.0+0.5−0.5+1.0±2.8
BH down the line21%−0.2+0.3+1.6+1.8±4.5

Lean BH crosscourt: +2.4±2.5 per 100 returns v the current mix (53 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.

Zhizhen Zhang

Favour

ShotEdgeOwnTheirs
BH to the middle · return+3.7±2.2+1.4+2.3
BH to their backhand · return+1.7±3.1+2.4−0.7
FH to the middle · return+0.2±2.6−1.4+1.6
BH to the middle · rally−0.1±2.1−0.3+0.1
BH to their backhand · rally−0.3±2.5−1.9+1.6
FH to their forehand · rally−2.3±3.2−0.2−2.1

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−4.3±4.1−5.7+1.4
FH to the middle · rally−2.9±2.3−1.1−1.8
FH to their backhand · rally−2.8±3.0−1.2−1.6
FH to their forehand · rally−2.3±3.2−0.2−2.1
BH to their backhand · rally−0.3±2.5−1.9+1.6

Ricardas Berankis

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+5.5±3.2+2.1+3.4
FH to their backhand · serve +1+4.5±3.5+3.5+0.9
FH to their forehand · serve +1+2.1±3.8+0.4+1.8
BH to their backhand · rally+1.8±2.6+0.2+1.6
FH to their forehand · return+1.5±4.5+0.5+0.9
BH to their backhand · return−1.5±3.1−0.9−0.6

Avoid

ShotEdgeOwnTheirs
BH to their backhand · serve +1−4.1±3.3−4.8+0.7
FH to the middle · rally−3.3±2.4−1.6−1.7
BH to the middle · rally−3.3±2.1−2.6−0.7
FH to the middle · return−3.2±2.5−2.6−0.6
BH to their forehand · rally−2.7±4.3−0.8−1.9

Against Ricardas Berankis-like opponents

Zhizhen Zhang vMatchesServe pts wonReturn pts won
All charted opponents–63.8%30.7%

Similar by tactical fingerprint: Tomas Machac, Ethan Quinn, Benjamin Bonzi, Fabio Fognini, Lucas Pouille, Peter Gojowczyk, Kevin Anderson, Denis Kudla, Martin Klizan. When two players have rarely met, their records against these lookalikes fill the gap.