RallyIQ

Game plan

Gabriel Diallo v Zhizhen Zhang

Every number combines what Gabriel Diallo 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

Gabriel Diallo wins, best of 3 66%90%: 37%–88% · best of 5: 70%
Serve points won 69.4% / 65.9% Gabriel / Zhizhen · tour 63.5%
Strengths only, no similarity priors 67%serve 68.9% / 65.3%

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. Both were charted enough in the last three seasons, so those carry the most weight. The result is then nudged by Gabriel Diallo's record against Zhizhen Zhang's tactical lookalikes and in their charted head-to-heads (lookalikes: +6.2 on serve, −7.9 on return vs expectation (253 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

CareerGabrielZhizhen
Direction choice−0.28 ±0.06
better than 7%
−0.06 ±0.09
better than 41%
Shot selection+0.45 ±0.13
better than 89%
+0.03 ±0.20
better than 54%
Execution−2.12 ±0.74
better than 2%
−0.36 ±0.66
better than 51%
Points left on the table2.80 ±0.17
lower than 31%
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.

Gabriel Diallo serving

Deuce court

1st serveNowGabriel winsv ZhizhenMatchupOptimal
Wide44%74%81%82.6%±5.157% ▲
Body11%64%65%65.4%±12.30% ▼
T46%74%77%76.4%±6.643% ▼

Optimal v Zhizhen Zhang: +1.0±0.8 per 100 first serves (faults included) over the current mix. Serving wide every time would read +4.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowGabriel winsv ZhizhenMatchupOptimal
Wide49%72%78%77.6%±6.049%
Body13%62%67%65.7%±12.80% ▼
T38%72%77%77.4%±6.651% ▲

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 +1.6 per 100 first serves in before the returner adjusts.

Zhizhen Zhang serving

Deuce court

1st serveNowZhizhen winsv GabrielMatchupOptimal
Wide43%72%77%76.9%±6.537% ▼
Body7%69%60%66.6%±12.80% ▼
T50%76%77%77.6%±6.263% ▲

Optimal v Gabriel Diallo: +0.4±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowZhizhen winsv GabrielMatchupOptimal
Wide44%69%74%70.3%±8.038% ▼
Body8%57%65%59.4%±13.80% ▼
T49%75%75%78.0%±6.162% ▲

Optimal v Gabriel Diallo: +1.3±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +4.8 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.

Gabriel Diallo returning

1st serve to the forehand

ReturnNowTourOwnv ZhizhenValue
FH through the middle42%+4.3−0.7−0.6+3.0±2.7
FH down the line24%+1.7−0.6+0.6+1.7±4.5
FH slice through the middle14%−4.2−0.8−1.6−6.6±2.3
FH crosscourt14%+5.5−1.6−0.8+3.1±4.3
FH slice down the line7%−4.3+1.3−0.4−3.3±2.5

Lean FH crosscourt: +2.2±4.1 per 100 returns v the current mix (212 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv ZhizhenValue
BH through the middle39%+6.4−1.0−0.4+5.1±2.6
BH crosscourt29%+8.8−1.7+0.7+7.8±3.6
BH down the line15%+4.2−0.7+1.2+4.7±4.6
BH slice through the middle8%−4.2−0.2−0.9−5.3±2.3
BH slice crosscourt5%+0.5−1.0−2.3−2.8±2.7

Lean BH crosscourt: +3.8±2.8 per 100 returns v the current mix (195 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ZhizhenValue
FH through the middle55%−3.5−2.5−1.1−7.0±2.8
FH down the line25%−1.8+0.1−1.4−3.0±4.3
FH crosscourt20%−0.2−3.5+2.3−1.5±3.9

Lean FH through the middle: −2.1±1.8 per 100 returns v the current mix (56 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv ZhizhenValue
BH through the middle47%−2.9−4.3−0.7−7.9±2.3
BH crosscourt38%+1.0−4.4−0.5−3.9±3.1
BH down the line11%−0.2−4.7+1.6−3.3±4.7
FH through the middle4%−2.9−0.7−1.1−4.7±1.9

Lean BH down the line: +2.4±4.4 per 100 returns v the current mix (141 returns charted, inside the 90% margin)

Zhizhen Zhang returning

1st serve to the forehand

ReturnNowTourOwnv GabrielValue
FH through the middle40%+4.3+0.5±0.0+4.7±2.8
FH crosscourt23%+5.5±0.0+1.0+6.5±4.4
FH slice through the middle14%−4.2−0.2−1.7−6.2±2.4
FH down the line13%+1.7−5.0−2.0−5.3±4.5
FH slice crosscourt6%−4.3−2.7−0.4−7.5±2.4

Lean FH crosscourt: +5.3±3.6 per 100 returns v the current mix (342 returns charted)

1st serve to the backhand

ReturnNowTourOwnv GabrielValue
BH through the middle37%+6.4+1.7+0.2+8.3±2.6
BH crosscourt27%+8.8+1.6±0.0+10.4±3.5
BH slice through the middle12%−4.2−1.2+0.2−5.2±2.5
BH slice crosscourt11%+0.5+0.9+0.4+1.8±2.9
BH down the line9%+4.2+0.2−0.1+4.3±4.5

Lean BH crosscourt: +5.0±2.8 per 100 returns v the current mix (368 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv GabrielValue
FH through the middle45%−3.5−2.6+1.9−4.2±2.9
FH crosscourt35%−0.2+0.8+0.4+1.0±4.3
FH down the line20%−1.8−0.8−1.7−4.3±4.3

Lean FH crosscourt: +3.4±3.2 per 100 returns v the current mix (100 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv GabrielValue
BH through the middle54%−2.9+2.0−3.2−4.0±2.4
BH crosscourt38%+1.0+1.3−1.2+1.2±3.2
BH down the line7%−0.2−1.2−0.8−2.2±4.6

Lean BH crosscourt: +3.1±2.4 per 100 returns v the current mix (268 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.

Gabriel Diallo

Favour

ShotEdgeOwnTheirs
BH to the middle · return +1+3.8±2.5+2.2+1.6
BH to their backhand · rally+2.7±2.4+1.0+1.6
FH to the middle · return +1+2.1±2.7−0.3+2.3
FH to their backhand · serve +1+0.8±3.2−0.1+0.9
FH to their forehand · rally+0.3±2.8−3.1+3.4
BH to their backhand · return +1+0.1±3.3+0.5−0.4

Avoid

ShotEdgeOwnTheirs
BH to the middle · return−5.1±2.0−3.9−1.2
FH to their backhand · rally−4.5±2.9−3.4−1.1
BH to their backhand · return−4.5±2.9−3.8−0.6
FH to the middle · rally−3.7±2.1−2.0−1.7
FH to the middle · return−3.5±2.4−2.9−0.6

Zhizhen Zhang

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+2.0±4.4+1.1+0.9
BH to their backhand · return+1.8±2.9+2.4−0.6
BH to the middle · rally+1.4±2.1−0.3+1.7
FH to their forehand · rally+0.9±2.8−0.2+1.1
FH to their backhand · return +1+0.8±4.1−1.1+2.0
BH to their backhand · return +1−0.4±3.5−2.9+2.5

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−4.4±2.4−1.9−2.5
FH to the middle · serve +1−2.9±2.6−1.5−1.4
BH to the middle · serve +1−2.1±2.6−0.9−1.2
BH to their backhand · serve +1−1.7±3.3−2.2+0.6
FH to their forehand · serve +1−1.6±3.5−0.2−1.4

Against Zhizhen Zhang-like opponents

Gabriel Diallo vMatchesServe pts wonReturn pts won
All charted opponents–62.8%31.8%
Players most similar to Zhizhen Zhang2 70.1%27.8%

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.