RallyIQ

Game plan

Andreas Seppi v Karim Mohamed Maamoun

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

Forecast

Andreas Seppi wins, best of 3 61%90%: 33%–84% · best of 5: 64%
Serve points won 59.5% / 57.3% Andreas / Karim · tour 61.3%
Strengths only, no similarity priors 61%serve 59.5% / 57.3%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Andreas Seppi's record against Karim Mohamed Maamoun'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

CareerAndreasKarim
Direction choice−0.08 ±0.05
better than 36%
−0.08 ±0.10
better than 37%
Shot selection−0.27 ±0.12
better than 26%
−0.54 ±0.09
better than 11%
Execution−0.27 ±0.42
better than 54%
−1.83 ±0.36
better than 5%
Points left on the table2.46 ±0.08
lower than 67%
2.38 ±0.12
lower than 76%

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.

Andreas Seppi serving

Deuce court

1st serveNowAndreas winsv KarimMatchupOptimal
Wide48%68%74%69.3%±5.261% ▲
Body4%62%62%61.5%±12.14%
T49%72%72%69.4%±5.735% ▼

Optimal v Karim Mohamed Maamoun: +0.4±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +0.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAndreas winsv KarimMatchupOptimal
Wide49%72%72%70.9%±5.262% ▲
Body6%55%60%51.5%±12.90% ▼
T45%67%71%65.3%±6.138% ▼

Optimal v Karim Mohamed Maamoun: +0.3±0.6 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.6 per 100 first serves in before the returner adjusts.

Karim Mohamed Maamoun serving

Deuce court

1st serveNowKarim winsv AndreasMatchupOptimal
Wide37%68%72%67.6%±5.537%
Body9%69%64%69.8%±9.422% ▲
T54%64%78%67.4%±5.541% ▼

Optimal v Andreas Seppi: +0.4±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +2.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowKarim winsv AndreasMatchupOptimal
Wide50%64%79%71.0%±5.451% ▲
Body7%63%65%65.1%±11.00% ▼
T43%67%75%71.0%±5.549% ▲

Optimal v Andreas Seppi: +0.2±0.5 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.

Andreas Seppi returning

1st serve to the forehand

ReturnNowTourOwnv KarimValue
FH through the middle50%+4.3+0.8−0.5+4.6±2.1
FH down the line21%+1.7−0.7+0.6+1.7±4.3
FH crosscourt19%+5.5−0.1−4.2+1.2±4.2
FH slice through the middle5%−4.2−0.8±0.0−4.9±2.3
FH slice down the line2%−4.3−3.1−0.8−8.2±2.3

Lean FH through the middle: +2.2±1.6 per 100 returns v the current mix (470 returns charted)

1st serve to the backhand

ReturnNowTourOwnv KarimValue
BH through the middle34%+6.4±0.0+2.1+8.6±2.0
BH slice through the middle25%−4.2−2.3+2.0−4.5±2.3
BH crosscourt18%+8.8+1.4−1.7+8.5±3.1
BH slice crosscourt8%+0.5−1.5−0.1−1.1±3.0
BH slice down the line8%−8.4−1.8+0.8−9.5±3.1

Lean BH through the middle: +5.8±1.7 per 100 returns v the current mix (479 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv KarimValue
FH through the middle50%−3.5+1.4−1.2−3.3±2.6
FH down the line28%−1.8−0.1+0.4−1.5±4.6
FH crosscourt22%−0.2−1.0+0.9−0.4±4.3

Lean FH crosscourt: +1.8±3.8 per 100 returns v the current mix (127 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv KarimValue
BH through the middle43%−2.9−0.3−0.5−3.6±2.0
BH crosscourt37%+1.0+2.2−1.7+1.5±2.8
BH down the line13%−0.2+2.4−1.1+1.1±5.0
BH slice through the middle2%−11.3−2.1+0.7−12.7±2.0
FH inside-in2%+0.6−0.5+0.9+0.9±3.7

Lean BH crosscourt: +2.8±2.1 per 100 returns v the current mix (338 returns charted)

Karim Mohamed Maamoun returning

1st serve to the forehand

ReturnNowTourOwnv AndreasValue
FH through the middle40%+4.3−3.2+1.9+2.9±2.2
FH crosscourt23%+5.5−3.2+0.8+3.2±4.0
FH slice through the middle19%−4.2−1.8−1.3−7.3±2.2
FH down the line9%+1.7−7.8−1.5−7.6±4.3
FH slice crosscourt7%−4.3−1.8+0.2−5.9±2.4

Lean FH crosscourt: +3.8±3.3 per 100 returns v the current mix (633 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AndreasValue
BH through the middle46%+6.4+0.1−1.2+5.3±2.1
BH crosscourt38%+8.8−1.9+6.1+13.0±3.1
BH down the line7%+4.2−0.3+1.9+5.8±4.6
BH slice through the middle5%−4.2+0.9+0.2−3.1±2.4
BH slice crosscourt3%+0.5−0.1+1.3+1.7±2.9

Lean BH crosscourt: +5.3±2.2 per 100 returns v the current mix (740 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AndreasValue
FH through the middle42%−3.5−3.5−1.0−8.0±2.8
FH crosscourt40%−0.2−4.7+1.3−3.6±4.3
FH down the line8%−1.8+1.8+3.1+3.1±4.3
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: +9.0±4.5 per 100 returns v the current mix (183 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AndreasValue
BH crosscourt55%+1.0+0.5+1.4+2.9±2.5
BH through the middle39%−2.9−0.6+1.2−2.3±2.0
BH down the line4%−0.2−0.8+2.9+1.9±4.8
FH through the middle1%−2.9+0.2−1.0−3.7±1.9

Lean BH crosscourt: +2.2±1.4 per 100 returns v the current mix (500 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 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.

Andreas Seppi

Favour

ShotEdgeOwnTheirs
BH to their backhand · return +1+3.1±3.7+2.3+0.8
BH to their backhand · serve +1+2.2±3.6+1.7+0.4
BH slice to the middle · return+1.6±3.1−2.7+4.3
FH to the middle · return+1.1±2.6+1.8−0.7
BH to their backhand · return+0.4±3.3+1.9−1.5
BH to their backhand · rally+0.3±2.4−0.1+0.4

Avoid

ShotEdgeOwnTheirs
BH slice to their forehand · rally−6.8±4.1−3.2−3.6
FH to their forehand · return−6.7±5.5−1.3−5.5
FH to their forehand · rally−5.6±3.3−1.6−4.0
BH to their forehand · return +1−4.7±5.6+0.2−4.9
FH to their backhand · rally−4.2±3.0−1.4−2.8

Karim Mohamed Maamoun

Favour

ShotEdgeOwnTheirs
BH to their forehand · return+7.5±5.8+2.4+5.2
BH to their forehand · serve +1+5.3±6.4+6.9−1.6
BH to their forehand · return +1+2.2±6.7+5.0−2.8
FH to their forehand · serve +1+1.5±4.4−1.5+3.0
BH to their backhand · return+1.3±3.1−0.2+1.5
FH to the middle · return+1.0±2.8−1.7+2.7

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−6.5±5.0−5.8−0.6
BH to their backhand · return +1−3.8±3.6+0.4−4.2
BH slice to the middle · return +1−3.7±3.0−2.6−1.2
BH slice to the middle · rally−3.6±2.8−3.6±0.0
BH to their forehand · rally−3.4±4.9−4.0+0.6

Against Karim Mohamed Maamoun-like opponents

Andreas Seppi vMatchesServe pts wonReturn pts won
All charted opponents–61.2%34.1%

Similar by tactical fingerprint: Jesper De Jong, Jannik Sinner, Flavio Cobolli, Gael Monfils, Botic Van De Zandschulp, Yannick Hanfmann, Luca Nardi, Mackenzie Mcdonald, Guido Pella. When two players have rarely met, their records against these lookalikes fill the gap.