RallyIQ

Game plan

James Duckworth v Malek Jaziri

Every number combines what James Duckworth 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

James Duckworth wins, best of 3 52%90%: 17%–86% · best of 5: 53%
Serve points won 64.0% / 63.5% James / Malek · tour 61.3%
Strengths only, no similarity priors 53%serve 64.0% / 63.5%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 James Duckworth's record against Malek Jaziri's tactical lookalikes and in their charted head-to-heads (lookalikes: +1.0 on serve, −1.6 on return vs expectation (170 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

CareerJamesMalek
Direction choice+0.02 ±0.24
better than 61%
−0.02 ±0.18
better than 50%
Shot selection+0.05 ±0.32
better than 60%
−0.74 ±0.36
better than 5%
Execution−1.28 ±1.00
better than 16%
−1.89 ±1.25
better than 4%
Points left on the table2.74 ±0.37
lower than 37%
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.

James Duckworth serving

Deuce court

1st serveNowJames winsv MalekMatchupOptimal
Wide46%72%77%76.5%±8.840% ▼
Body6%70%67%72.6%±13.30% ▼
T47%82%77%83.6%±6.960% ▲

Optimal v Malek Jaziri: +0.7±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJames winsv MalekMatchupOptimal
Wide52%71%72%69.7%±9.543% ▼
Body4%56%67%59.6%±16.20% ▼
T44%70%71%69.8%±10.357% ▲

Optimal v Malek Jaziri: +0.5±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +0.5 per 100 first serves in before the returner adjusts.

Malek Jaziri serving

Deuce court

1st serveNowMalek winsv JamesMatchupOptimal
Wide45%72%83%82.4%±7.350% ▲
Body11%56%68%61.0%±16.00% ▼
T43%70%86%83.0%±7.650% ▲

Optimal v James Duckworth: +0.8±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +2.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMalek winsv JamesMatchupOptimal
Wide58%73%79%79.2%±8.251% ▼
Body6%65%71%72.2%±15.10% ▼
T36%69%82%79.2%±9.449% ▲

Optimal v James Duckworth: +0.5±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +0.5 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.

James Duckworth returning

1st serve to the forehand

ReturnNowTourOwnv MalekValue
FH through the middle44%+4.3−0.7−1.3+2.2±3.1
FH down the line23%+1.7−0.6−1.3−0.2±4.4
FH slice through the middle14%−4.2+0.6+0.4−3.2±1.8
FH crosscourt13%+5.5−2.9−2.4+0.3±4.0
FH slice down the line5%−4.3−0.9±0.0−5.2±1.3

Lean FH through the middle: +1.9±2.1 per 100 returns v the current mix (104 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv MalekValue
BH through the middle37%+6.4−0.2+0.8+7.0±2.9
BH crosscourt33%+8.8−2.2−3.0+3.5±3.5
BH down the line15%+4.2−2.0+2.6+4.8±4.0
BH slice through the middle8%−4.2+0.1−1.2−5.3±2.2
BH slice crosscourt6%+0.5+0.3±0.0+0.8±2.2

Lean BH through the middle: +2.9±2.2 per 100 returns v the current mix (118 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MalekValue
BH through the middle48%−2.9−0.9+2.8−1.1±2.6
BH crosscourt44%+1.0+0.5−0.9+0.6±3.2
BH down the line8%−0.2−2.1+1.2−1.1±4.0

Lean BH crosscourt: +0.9±2.2 per 100 returns v the current mix (75 returns charted, inside the 90% margin)

Malek Jaziri returning

1st serve to the forehand

ReturnNowTourOwnv JamesValue
FH through the middle48%+4.3−2.1−0.2+1.9±3.1
FH crosscourt24%+5.5+1.7−1.4+5.8±4.1
FH down the line22%+1.7−1.0±0.0+0.7±4.4
FH slice through the middle5%−4.2−0.2−0.2−4.5±1.7

Lean FH crosscourt: +3.5±3.6 per 100 returns v the current mix (99 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv JamesValue
BH through the middle32%+6.4−0.5−0.5+5.3±2.9
BH slice through the middle23%−4.2+2.4+0.2−1.6±2.2
BH slice crosscourt13%+0.5±0.0−0.2+0.3±2.7
BH crosscourt11%+8.8−4.6−1.5+2.7±3.3
BH down the line11%+4.2−2.5−4.8−3.1±4.1

Lean BH through the middle: +4.8±2.1 per 100 returns v the current mix (141 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv JamesValue
BH slice crosscourt30%−4.0+1.2+1.0−1.9±2.3
BH slice through the middle21%−11.3+0.7+0.7−9.9±1.9
BH through the middle19%−2.9+1.6+0.6−0.7±2.3
BH crosscourt16%+1.0−0.7−0.8−0.5±3.0
BH down the line8%−0.2+0.8±0.0+0.6±4.1

Lean BH through the middle: +2.1±2.2 per 100 returns v the current mix (86 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 on clay. Each player's clay record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

James Duckworth

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+3.9±4.6+1.7+2.2
BH to the middle · return+0.9±3.1−0.7+1.6
BH to their backhand · rally−0.7±3.4+0.6−1.3
FH to their backhand · serve +1−1.1±4.7−0.5−0.5
FH to the middle · rally−1.4±3.0+0.2−1.6
BH to the middle · rally−3.0±2.8−2.6−0.4

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return−4.2±3.9−0.6−3.6
FH to the middle · return−4.0±3.4−1.3−2.7
FH to their backhand · rally−3.5±4.2−2.7−0.9
FH to their forehand · serve +1−3.5±5.1+1.5−5.0
BH to their backhand · serve +1−3.4±4.1−2.8−0.6

Malek Jaziri

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+5.2±4.7+0.9+4.3
BH to their backhand · rally+2.9±3.6+2.2+0.7
BH to the middle · rally+1.5±2.8−0.4+1.9
BH to the middle · return+0.6±3.1+1.3−0.7
FH to the middle · return−0.6±3.3−1.5+0.9
FH to the middle · rally−0.9±3.1−2.1+1.2

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−8.0±5.2−8.2+0.2
FH to their forehand · rally−1.7±4.6−1.5−0.2
FH to their backhand · rally−1.7±4.2−1.7±0.0
FH to the middle · rally−0.9±3.1−2.1+1.2
FH to the middle · return−0.6±3.3−1.5+0.9

Against Malek Jaziri-like opponents

James Duckworth vMatchesServe pts wonReturn pts won
All charted opponents–62.4%25.4%
Players most similar to Malek Jaziri1 59.8%24.4%

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