RallyIQ

Game plan

Malek Jaziri v Matteo Berrettini

Every number combines what Malek Jaziri does well with what Matteo Berrettini allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Malek Jaziri wins, best of 3 10%90%: 3%–29% · best of 5: 6%
Serve points won 60.2% / 70.5% Malek / Matteo · tour 63.4%
Strengths only, no similarity priors 8%serve 59.5% / 70.9%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Malek Jaziri's record against Matteo Berrettini's tactical lookalikes and in their charted head-to-heads (lookalikes: +5.9 on serve, +3.8 on return vs expectation (406 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

CareerMalekMatteo
Direction choice−0.02 ±0.18
better than 50%
−0.02 ±0.06
better than 51%
Shot selection−0.74 ±0.36
better than 5%
−0.61 ±0.09
better than 8%
Execution−1.89 ±1.25
better than 4%
+0.03 ±0.36
better than 70%
Points left on the table2.61 ±0.16
lower than 48%
2.71 ±0.09
lower than 39%

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.

Malek Jaziri serving

Deuce court

1st serveNowMalek winsv MatteoMatchupOptimal
Wide45%72%76%74.7%±6.759% ▲
Body11%56%65%58.0%±11.60% ▼
T43%70%75%70.2%±7.841% ▼

Optimal v Matteo Berrettini: +0.6±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMalek winsv MatteoMatchupOptimal
Wide58%73%74%74.4%±6.971% ▲
Body6%65%65%67.0%±12.80% ▼
T36%69%71%67.1%±9.029% ▼

Optimal v Matteo Berrettini: +0.6±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.1 per 100 first serves in before the returner adjusts.

Matteo Berrettini serving

Deuce court

1st serveNowMatteo winsv MalekMatchupOptimal
Wide46%79%77%82.1%±5.939% ▼
Body6%68%67%71.0%±9.90% ▼
T48%80%77%82.4%±5.061% ▲

Optimal v Malek Jaziri: +0.6±0.6 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +0.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMatteo winsv MalekMatchupOptimal
Wide50%79%72%77.6%±6.044% ▼
Body7%68%67%70.9%±10.10% ▼
T43%76%71%75.1%±7.156% ▲

Optimal v Malek Jaziri: +0.4±0.7 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.

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.

Malek Jaziri returning

1st serve to the forehand

ReturnNowTourOwnv MatteoValue
FH through the middle48%+4.3−2.1−0.2+1.9±2.5
FH crosscourt24%+5.5+1.7+1.0+8.2±3.7
FH down the line22%+1.7−1.0−1.2−0.5±3.8
FH slice through the middle5%−4.2−0.2+0.7−3.7±1.5

Lean FH crosscourt: +5.5±3.2 per 100 returns v the current mix (99 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MatteoValue
BH through the middle32%+6.4−0.5+1.0+6.9±2.3
BH slice through the middle23%−4.2+2.4−1.3−3.1±2.2
BH slice crosscourt13%+0.5±0.0−2.8−2.3±2.6
BH crosscourt11%+8.8−4.6+1.5+5.7±2.7
BH down the line11%+4.2−2.5−4.0−2.3±4.1

Lean BH through the middle: +6.3±1.8 per 100 returns v the current mix (141 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MatteoValue
BH slice crosscourt30%−4.0+1.2−0.7−3.5±2.5
BH slice through the middle21%−11.3+0.7−0.5−11.1±2.3
BH through the middle19%−2.9+1.6−0.1−1.4±1.9
BH crosscourt16%+1.0−0.7−1.6−1.3±2.3
BH down the line8%−0.2+0.8+0.1+0.7±3.9

Lean BH through the middle: +2.6±1.8 per 100 returns v the current mix (86 returns charted)

Matteo Berrettini returning

1st serve to the forehand

ReturnNowTourOwnv MalekValue
FH through the middle43%+4.3−0.5−1.3+2.4±2.5
FH slice through the middle22%−4.2+1.2+0.4−2.6±1.6
FH down the line14%+1.7−4.0−1.3−3.5±4.1
FH crosscourt11%+5.5−1.3−2.4+1.8±4.1
FH slice crosscourt6%−4.3+2.1±0.0−2.2±1.9

Lean FH through the middle: +2.5±1.6 per 100 returns v the current mix (1460 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MalekValue
BH through the middle31%+6.4+0.7+0.8+7.9±2.3
BH slice through the middle29%−4.2−0.5−1.2−5.9±2.0
BH crosscourt15%+8.8+0.1−3.0+5.9±3.0
BH slice crosscourt11%+0.5−1.5±0.0−1.0±2.4
BH down the line7%+4.2+1.7+2.6+8.5±4.0

Lean BH down the line: +6.8±3.9 per 100 returns v the current mix (1842 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MalekValue
FH through the middle51%−3.5−1.8−0.2−5.5±2.6
FH down the line24%−1.8−1.3−0.3−3.3±4.5
FH crosscourt16%−0.2−3.0±0.0−3.3±4.2
FH slice through the middle6%−12.7+1.1±0.0−11.6±1.6
FH slice down the line2%−9.4±0.0±0.0−9.4±1.5

Lean FH crosscourt: +1.9±4.0 per 100 returns v the current mix (389 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv MalekValue
BH through the middle47%−2.9+0.2+2.8+0.1±2.1
BH crosscourt26%+1.0−1.2−0.9−1.1±2.8
BH down the line12%−0.2±0.0+1.2+0.9±4.6
FH through the middle8%−2.9+0.2−0.2−2.9±2.4
FH inside-in3%+0.6−3.7±0.0−3.2±4.2

Lean BH down the line: +1.5±4.2 per 100 returns v the current mix (1173 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.

Malek Jaziri

Favour

ShotEdgeOwnTheirs
BH to the middle · return+1.9±2.1+2.0±0.0
BH slice to the middle · return+0.3±2.1+1.2−0.8
BH slice to their backhand · rally−0.3±2.0+2.3−2.6
BH to the middle · rally−0.6±1.9−0.2−0.4
BH to their backhand · rally−1.1±2.3±0.0−1.1
FH to the middle · rally−1.4±2.0−0.2−1.2

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−7.0±3.2−4.2−2.8
FH to their backhand · rally−4.1±2.5−1.5−2.6
FH to the middle · return−3.6±2.2−2.6−1.0
FH to their forehand · rally−3.5±2.7−1.8−1.7
FH to their backhand · serve +1−3.3±2.9−1.4−1.9

Matteo Berrettini

Favour

ShotEdgeOwnTheirs
BH to the middle · return+2.5±2.0−0.2+2.7
BH to the middle · rally−1.5±1.9−1.4−0.1
FH to their backhand · serve +1−1.5±2.9+0.9−2.4
BH to their backhand · return +1−1.7±2.9+0.9−2.6
FH to their forehand · rally−1.8±2.7−1.7−0.1
FH to their backhand · rally−1.8±2.4−1.7−0.1

Avoid

ShotEdgeOwnTheirs
FH to the middle · rally−6.3±2.0−2.7−3.6
BH to their backhand · rally−3.9±2.1−2.5−1.4
BH to their backhand · return−3.7±2.6−0.4−3.3
FH to their backhand · return−3.6±3.5−2.4−1.2
BH to their backhand · serve +1−2.6±3.1−2.0−0.6

Against Matteo Berrettini-like opponents

Malek Jaziri vMatchesServe pts wonReturn pts won
All charted opponents–59.4%34.2%
Players most similar to Matteo Berrettini2 65.2%34.9%

Similar by tactical fingerprint: Stefanos Tsitsipas, Ben Shelton, Tallon Griekspoor, Grigor Dimitrov, Alexei Popyrin, Zizou Bergs, Dominic Thiem, Tim Van Rijthoven, Jo Wilfried Tsonga, Roger Federer. When two players have rarely met, their records against these lookalikes fill the gap.