RallyIQ

Game plan

Karim Mohamed Maamoun v Jesper De Jong

Every number combines what Karim Mohamed Maamoun does well with what Jesper De Jong allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Karim Mohamed Maamoun wins, best of 3 24%90%: 8%–50% · best of 5: 19%
Serve points won 59.4% / 64.9% Karim / Jesper · tour 63.4%
Strengths only, no similarity priors 24%serve 59.4% / 64.9%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Karim Mohamed Maamoun's record against Jesper De Jong's tactical lookalikes and in their charted head-to-heads. 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

CareerKarimJesper
Direction choice−0.08 ±0.10
better than 37%
−0.14 ±0.06
better than 21%
Shot selection−0.54 ±0.09
better than 11%
+0.30 ±0.12
better than 80%
Execution−1.83 ±0.36
better than 5%
−0.72 ±0.35
better than 36%
Points left on the table2.38 ±0.12
lower than 76%
2.79 ±0.11
lower than 32%

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.

Karim Mohamed Maamoun serving

Deuce court

1st serveNowKarim winsv JesperMatchupOptimal
Wide37%68%72%67.4%±5.450% ▲
Body9%69%64%69.9%±8.59%
T54%64%75%64.5%±5.241% ▼

Optimal v Jesper De Jong: +0.3±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +3.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowKarim winsv JesperMatchupOptimal
Wide50%64%73%65.0%±5.463% ▲
Body7%63%58%57.3%±10.67%
T43%67%64%58.5%±6.130% ▼

Optimal v Jesper De Jong: +0.1±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.4 per 100 first serves in before the returner adjusts.

Jesper De Jong serving

Deuce court

1st serveNowJesper winsv KarimMatchupOptimal
Wide44%73%74%74.2%±4.739% ▼
Body7%54%62%53.5%±10.10% ▼
T48%81%72%78.7%±4.661% ▲

Optimal v Karim Mohamed Maamoun: +0.5±0.6 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJesper winsv KarimMatchupOptimal
Wide44%73%72%71.8%±4.957% ▲
Body9%56%60%52.7%±11.70% ▼
T47%71%71%70.0%±5.543% ▼

Optimal v Karim Mohamed Maamoun: +0.7±0.7 per 100 first serves (faults included) over the current mix. Serving wide every time would read +2.5 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.

Karim Mohamed Maamoun returning

1st serve to the forehand

ReturnNowTourOwnv JesperValue
FH through the middle40%+4.3−3.2+0.2+1.2±2.3
FH crosscourt23%+5.5−3.2−3.4−1.1±4.1
FH slice through the middle19%−4.2−1.8−1.0−7.0±2.3
FH down the line9%+1.7−7.8−2.4−8.5±4.3
FH slice crosscourt7%−4.3−1.8−0.8−6.9±2.4

Lean FH through the middle: +3.7±1.8 per 100 returns v the current mix (633 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JesperValue
BH through the middle46%+6.4+0.1−2.1+4.4±2.0
BH crosscourt38%+8.8−1.9−1.4+5.5±2.8
BH down the line7%+4.2−0.3+0.1+4.0±4.5
BH slice through the middle5%−4.2+0.9−2.3−5.7±2.5
BH slice crosscourt3%+0.5−0.1−5.2−4.8±2.9

Lean BH crosscourt: +1.5±2.0 per 100 returns v the current mix (740 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv JesperValue
FH through the middle42%−3.5−3.5−0.8−7.8±2.5
FH crosscourt40%−0.2−4.7+0.2−4.8±4.3
FH down the line8%−1.8+1.8−2.4−2.4±4.1
FH slice through the middle7%−12.7−1.3±0.0−14.0±1.3
FH slice crosscourt3%−12.5−0.1±0.0−12.6±1.4

Lean FH down the line: +4.3±4.3 per 100 returns v the current mix (183 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv JesperValue
BH crosscourt55%+1.0+0.5−0.3+1.2±2.6
BH through the middle39%−2.9−0.6−1.1−4.6±2.0
BH down the line4%−0.2−0.8−1.0−2.0±4.7
FH through the middle1%−2.9+0.2−0.8−3.5±1.7

Lean BH crosscourt: +2.5±1.4 per 100 returns v the current mix (500 returns charted)

Jesper De Jong returning

1st serve to the forehand

ReturnNowTourOwnv KarimValue
FH through the middle50%+4.3−0.1−0.5+3.7±2.0
FH down the line18%+1.7−1.9+0.6+0.4±4.3
FH crosscourt15%+5.5+0.1−4.2+1.3±4.2
FH slice through the middle12%−4.2−2.1±0.0−6.2±2.3
FH slice down the line5%−4.3−0.9−0.8−6.0±2.7

Lean FH through the middle: +2.7±1.4 per 100 returns v the current mix (543 returns charted)

1st serve to the backhand

ReturnNowTourOwnv KarimValue
BH through the middle37%+6.4−0.2+2.1+8.3±1.9
BH slice through the middle18%−4.2−1.3+2.0−3.5±2.3
BH crosscourt18%+8.8−2.8−1.7+4.4±3.0
BH down the line15%+4.2−1.5+0.2+2.9±4.5
BH slice crosscourt8%+0.5−0.8−0.1−0.4±3.0

Lean BH through the middle: +5.2±1.6 per 100 returns v the current mix (672 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv KarimValue
FH through the middle61%−3.5−0.7−1.2−5.4±2.5
FH crosscourt21%−0.2−0.4+0.9+0.2±4.4
FH down the line18%−1.8+0.7+0.4−0.8±4.6

Lean FH crosscourt: +3.6±3.9 per 100 returns v the current mix (156 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv KarimValue
BH through the middle43%−2.9±0.0−0.5−3.4±1.9
BH crosscourt26%+1.0−0.9−1.7−1.6±2.8
FH through the middle11%−2.9+0.9−1.2−3.2±2.2
FH inside-out8%+1.0+2.1+0.4+3.4±3.6
BH down the line7%−0.2−2.4−1.1−3.7±4.9

Lean FH inside-out: +5.8±3.6 per 100 returns v the current mix (442 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.

Karim Mohamed Maamoun

Favour

ShotEdgeOwnTheirs
BH to their forehand · return+2.2±4.0+2.7−0.4
BH to their forehand · serve +1+1.0±4.5+3.9−3.0
BH to their forehand · return +1+0.7±4.9+3.2−2.5
BH to the middle · rally+0.5±1.4−1.5+2.0
BH to the middle · return +1−0.5±2.1−1.7+1.1
BH to the middle · serve +1−0.6±2.1−1.8+1.2

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return−7.5±3.6−5.1−2.3
FH to their backhand · return−7.4±3.5−4.5−2.9
BH slice to the middle · rally−5.9±2.1−2.6−3.3
BH slice to their backhand · rally−4.1±2.1−2.7−1.4
FH to the middle · return−4.1±1.7−2.9−1.2

Jesper De Jong

Favour

ShotEdgeOwnTheirs
BH to their backhand · return +1+3.2±2.7+3.0+0.2
BH to the middle · return+1.7±1.4−0.1+1.8
BH to the middle · serve +1+1.4±2.1+1.3+0.1
BH slice to the middle · rally+0.7±1.9+0.6+0.1
BH slice to the middle · return+0.5±2.3−1.6+2.0
BH slice to their backhand · rally+0.3±1.9+1.0−0.6

Avoid

ShotEdgeOwnTheirs
BH slice to their forehand · rally−6.8±3.3−4.7−2.2
BH to their backhand · return−4.1±2.3−2.5−1.5
FH to their forehand · return−3.7±4.0−1.3−2.4
BH to their forehand · return +1−3.6±4.7−0.5−3.2
BH to their forehand · serve +1−3.4±4.6−2.1−1.4

Against Jesper De Jong-like opponents

Karim Mohamed Maamoun vMatchesServe pts wonReturn pts won
All charted opponents–58.5%38.1%

Similar by tactical fingerprint: Gael Monfils, Botic Van De Zandschulp, Alejandro Tabilo, Nuno Borges, Miomir Kecmanovic, Arthur Cazaux, Mackenzie Mcdonald, Matteo Arnaldi, Otto Virtanen, Andreas Seppi. When two players have rarely met, their records against these lookalikes fill the gap.