RallyIQ

Game plan

Matteo Berrettini v Malek Jaziri

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

Forecast

Matteo Berrettini wins, best of 3 94%90%: 83%–98% · best of 5: 97%
Serve points won 72.5% / 59.9% Matteo / Malek · tour 63.8%
Strengths only, no similarity priors 93%serve 72.0% / 60.0%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Matteo Berrettini's record against Malek Jaziri's tactical lookalikes and in their charted head-to-heads (lookalikes: +1.9 on serve, +0.6 on return vs expectation (1013 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

CareerMatteoMalek
Direction choice−0.02 ±0.06
better than 51%
−0.02 ±0.18
better than 50%
Shot selection−0.61 ±0.09
better than 8%
−0.74 ±0.36
better than 5%
Execution+0.03 ±0.36
better than 70%
−1.89 ±1.25
better than 4%
Points left on the table2.71 ±0.09
lower than 39%
2.61 ±0.16
lower than 48%

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.

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.

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.

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.

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)

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)

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 hard. Each player's hard record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Matteo Berrettini

Favour

ShotEdgeOwnTheirs
BH to the middle · return+2.9±2.9−0.5+3.4
FH to their backhand · rally−1.1±3.3−0.3−0.8
BH to the middle · rally−1.8±2.6−1.6−0.2
FH to their forehand · serve +1−2.4±4.7+1.3−3.7
BH to their backhand · return +1−2.7±4.2+0.8−3.5
BH to their backhand · serve +1−2.7±4.5−1.2−1.6

Avoid

ShotEdgeOwnTheirs
FH to the middle · rally−7.9±2.8−1.7−6.2
BH to their backhand · return−5.4±3.7−0.2−5.1
FH to their backhand · return−5.0±5.1−3.4−1.6
BH to their backhand · rally−4.6±2.7−2.5−2.1
FH to their forehand · rally−3.7±3.7−1.2−2.5

Malek Jaziri

Favour

ShotEdgeOwnTheirs
BH to the middle · return+3.3±3.0+3.1+0.1
BH slice to the middle · return+1.1±3.1+1.4−0.3
BH slice to their backhand · rally+0.2±2.7+2.9−2.7
FH to the middle · rally+0.2±2.8+1.1−0.9
BH to the middle · rally−0.5±2.6−0.2−0.3
BH to their backhand · rally−1.7±3.2−0.9−0.8

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−7.7±4.6−5.1−2.6
FH to the middle · return−5.3±3.0−4.0−1.3
FH to their backhand · rally−4.5±3.4−2.3−2.2
BH slice to the middle · rally−4.3±3.0−1.0−3.3
FH to their forehand · rally−4.2±3.7−2.3−1.9

Against Malek Jaziri-like opponents

Matteo Berrettini vMatchesServe pts wonReturn pts won
All charted opponents–68.7%33.6%
Players most similar to Malek Jaziri7 69.5%35.2%

Similar by tactical fingerprint: Grigor Dimitrov, Marton Fucsovics, Stan Wawrinka, Marcos Giron, James Duckworth, Dominic Thiem, Robin Haase, Roger Federer, Sebastien Grosjean. When two players have rarely met, their records against these lookalikes fill the gap.