RallyIQ

Game plan

Robin Haase v Malek Jaziri

Every number combines what Robin Haase 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

Robin Haase wins, best of 3 63%90%: 34%–86% · best of 5: 66%
Serve points won 65.1% / 62.4% Robin / Malek · tour 63.4%
Strengths only, no similarity priors 68%serve 65.0% / 61.2%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Robin Haase's record against Malek Jaziri's tactical lookalikes and in their charted head-to-heads (lookalikes: −3.0 on serve, −10.6 on return vs expectation (322 points); head-to-head: +11.8 on serve, −6.9 on return vs expectation (103 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

CareerRobinMalek
Direction choice−0.13 ±0.05
better than 23%
−0.02 ±0.18
better than 50%
Shot selection−0.56 ±0.12
better than 10%
−0.74 ±0.36
better than 5%
Execution−0.60 ±0.33
better than 41%
−1.89 ±1.25
better than 4%
Points left on the table2.82 ±0.07
lower than 29%
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.

Robin Haase serving

Deuce court

1st serveNowRobin winsv MalekMatchupOptimal
Wide43%73%77%76.9%±7.337% ▼
Body7%58%67%61.7%±12.10% ▼
T50%76%77%78.2%±6.263% ▲

Optimal v Malek Jaziri: +0.7±0.7 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 serveNowRobin winsv MalekMatchupOptimal
Wide57%76%72%74.7%±6.851% ▼
Body7%57%67%61.1%±12.60% ▼
T36%71%71%70.8%±8.249% ▲

Optimal v Malek Jaziri: +0.4±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.3 per 100 first serves in before the returner adjusts.

Malek Jaziri serving

Deuce court

1st serveNowMalek winsv RobinMatchupOptimal
Wide45%72%72%71.2%±7.644% ▼
Body11%56%64%57.0%±12.10% ▼
T43%70%76%71.3%±8.056% ▲

Optimal v Robin Haase: +0.5±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMalek winsv RobinMatchupOptimal
Wide58%73%75%74.6%±7.271% ▲
Body6%65%64%65.4%±13.90% ▼
T36%69%73%69.6%±9.129% ▼

Optimal v Robin Haase: +0.7±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.4 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.

Robin Haase returning

1st serve to the forehand

ReturnNowTourOwnv MalekValue
FH through the middle39%+4.3+1.7−1.3+4.6±2.7
FH slice through the middle23%−4.2−0.3+0.4−4.1±1.8
FH crosscourt13%+5.5−2.3−2.4+0.8±4.3
FH slice crosscourt11%−4.3−1.8±0.0−6.1±2.0
FH down the line11%+1.7+3.1−1.3+3.5±4.5

Lean FH through the middle: +4.1±1.9 per 100 returns v the current mix (728 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MalekValue
BH through the middle36%+6.4+0.4+0.8+7.6±2.5
BH slice through the middle20%−4.2−0.5−1.2−5.9±2.3
BH crosscourt18%+8.8−2.9−3.0+2.9±3.2
BH down the line11%+4.2+0.7+2.6+7.5±4.1
BH slice crosscourt9%+0.5−0.3±0.0+0.3±2.7

Lean BH through the middle: +5.0±1.8 per 100 returns v the current mix (872 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MalekValue
FH through the middle47%−3.5+0.9−0.2−2.8±2.9
FH down the line27%−1.8+2.3−0.3+0.2±4.6
FH crosscourt18%−0.2−1.1±0.0−1.3±4.2
FH slice through the middle5%−12.7−0.4±0.0−13.0±1.2
FH slice crosscourt3%−12.5−1.4±0.0−13.9±1.4

Lean FH down the line: +2.8±3.7 per 100 returns v the current mix (181 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv MalekValue
BH through the middle38%−2.9−1.0+2.8−1.2±2.3
BH crosscourt20%+1.0−1.0−0.9−0.9±3.1
FH through the middle14%−2.9−0.1−0.2−3.2±2.4
BH down the line13%−0.2−1.5+1.2−0.6±4.8
FH inside-out7%+1.0−1.0−0.3−0.4±3.6
FH inside-in6%+0.6+2.0±0.0+2.5±4.2

Lean FH inside-in: +3.7±4.2 per 100 returns v the current mix (567 returns charted, inside the 90% margin)

Malek Jaziri returning

1st serve to the forehand

ReturnNowTourOwnv RobinValue
FH through the middle48%+4.3−2.1−1.9+0.2±2.7
FH crosscourt24%+5.5+1.7−1.6+5.6±4.1
FH down the line22%+1.7−1.0−2.5−1.8±4.2
FH slice through the middle5%−4.2−0.2+0.7−3.7±1.8

Lean FH crosscourt: +4.7±3.5 per 100 returns v the current mix (99 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RobinValue
BH through the middle32%+6.4−0.5−1.7+4.2±2.5
BH slice through the middle23%−4.2+2.4−1.3−3.0±2.2
BH slice crosscourt13%+0.5±0.0−1.3−0.8±2.8
BH crosscourt11%+8.8−4.6−0.4+3.7±3.0
BH down the line11%+4.2−2.5−1.7±0.0±4.3

Lean BH through the middle: +3.9±1.9 per 100 returns v the current mix (141 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv RobinValue
BH slice crosscourt30%−4.0+1.2−1.5−4.3±2.5
BH slice through the middle21%−11.3+0.7−1.2−11.8±2.3
BH through the middle19%−2.9+1.6+0.1−1.2±1.9
BH crosscourt16%+1.0−0.7−1.0−0.7±2.5
BH down the line8%−0.2+0.8−2.0−1.4±4.1

Lean BH through the middle: +3.2±1.9 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.

Robin Haase

Favour

ShotEdgeOwnTheirs
BH to the middle · return+2.9±2.1+0.2+2.7
FH to their backhand · rally+1.7±2.5+1.8−0.1
FH to their backhand · return+0.2±3.7+1.4−1.2
BH to the middle · rally−0.4±1.9−0.3−0.1
BH to their backhand · serve +1−0.5±3.3+0.1−0.6
FH to the middle · return−1.5±2.3+0.3−1.7

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return−5.3±2.8−2.0−3.3
FH to their forehand · serve +1−4.5±3.6−1.1−3.4
BH to their backhand · rally−2.7±2.2−1.3−1.4
FH to their forehand · rally−2.6±2.9−2.6−0.1
FH to their backhand · serve +1−2.2±3.0+0.2−2.4

Malek Jaziri

Favour

ShotEdgeOwnTheirs
BH slice to their backhand · rally+1.9±2.1+2.3−0.5
BH to the middle · return+0.3±2.2+2.0−1.7
FH to their backhand · serve +1+0.1±3.1−1.4+1.5
BH slice to the middle · return−0.3±2.2+1.2−1.5
BH to the middle · rally−0.6±2.0−0.2−0.4
BH to their backhand · rally−0.7±2.3±0.0−0.7

Avoid

ShotEdgeOwnTheirs
FH to the middle · return−4.4±2.3−2.6−1.8
FH to their forehand · serve +1−3.0±3.4−4.2+1.1
FH to their forehand · rally−2.6±2.8−1.8−0.7
FH to their backhand · rally−2.5±2.6−1.5−1.1
BH slice to their backhand · return−1.3±2.8+0.3−1.6

Against Malek Jaziri-like opponents

Robin Haase vMatchesServe pts wonReturn pts won
All charted opponents–62.9%34.9%
Players most similar to Malek Jaziri3 57.6%20.7%
Malek Jaziri (charted head-to-head)1 76.8%31.9%

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

Charted head-to-head