RallyIQ

Game plan

Sumit Nagal v Pedro Martinez

Every number combines what Sumit Nagal does well with what Pedro Martinez allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Sumit Nagal wins, best of 3 55%90%: 20%–87% · best of 5: 57%
Serve points won 57.7% / 56.7% Sumit / Pedro · tour 61.3%
Strengths only, no similarity priors 55%serve 57.7% / 56.7%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Sumit Nagal's record against Pedro Martinez'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.

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.

Sumit Nagal serving

Deuce court

1st serveNowSumit winsv PedroMatchupOptimal
Wide50%68%75%71.1%±8.963% ▲
Body12%59%70%65.7%±13.70% ▼
T38%69%76%69.7%±10.437%

Optimal v Pedro Martinez: +0.5±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowSumit winsv PedroMatchupOptimal
Wide67%63%71%61.5%±9.061% ▼
Body6%59%56%51.9%±15.60% ▼
T26%67%73%67.9%±11.539% ▲

Optimal v Pedro Martinez: +0.6±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.3 per 100 first serves in before the returner adjusts.

Pedro Martinez serving

Deuce court

1st serveNowPedro winsv SumitMatchupOptimal
Wide41%65%73%65.8%±10.739% ▼
Body11%59%62%57.5%±13.80% ▼
T48%68%66%57.4%±11.761% ▲

Optimal v Sumit Nagal: +0.3±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowPedro winsv SumitMatchupOptimal
Wide54%63%66%55.9%±10.954%
Body16%59%63%58.7%±14.03% ▼
T30%62%74%64.7%±11.943% ▲

Optimal v Sumit Nagal: +0.4±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.7 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.

Sumit Nagal returning

1st serve to the forehand

ReturnNowTourOwnv PedroValue
FH through the middle53%+4.3+1.6+1.7+7.6±2.6
FH down the line24%+1.7+0.1+1.6+3.4±4.0
FH crosscourt22%+5.5+2.1+6.1+13.7±3.8

Lean FH through the middle: −0.4±1.8 per 100 returns v the current mix (58 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv PedroValue
BH through the middle52%+6.4+0.9+1.6+8.9±2.3
BH crosscourt48%+8.8±0.0+1.7+10.5±3.0

Lean BH crosscourt: +0.8±2.0 per 100 returns v the current mix (52 returns charted, inside the 90% margin)

Pedro Martinez returning

1st serve to the forehand

ReturnNowTourOwnv SumitValue
FH through the middle43%+4.3+2.1±0.0+6.4±2.8
FH crosscourt21%+5.5+1.1+3.1+9.8±4.0
FH slice through the middle13%−4.2+1.7±0.0−2.5±1.7
FH down the line12%+1.7+1.9−0.9+2.6±4.3
FH slice crosscourt8%−4.3+0.6±0.0−3.7±2.0

Lean FH crosscourt: +5.4±3.4 per 100 returns v the current mix (426 returns charted)

1st serve to the backhand

ReturnNowTourOwnv SumitValue
BH through the middle41%+6.4+2.2+2.5+11.0±2.6
BH crosscourt27%+8.8−3.4+0.6+6.0±3.4
BH down the line13%+4.2−0.4+0.4+4.2±4.1
BH slice through the middle12%−4.2−1.5±0.0−5.7±1.8
BH slice crosscourt4%+0.5−1.5±0.0−1.0±1.9

Lean BH through the middle: +5.4±1.9 per 100 returns v the current mix (517 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv SumitValue
FH through the middle52%−3.5+1.2−0.6−2.8±2.7
FH crosscourt37%−0.2−0.4+4.1+3.4±3.7
FH down the line10%−1.8+0.6+2.1+0.9±4.0

Lean FH crosscourt: +3.5±2.7 per 100 returns v the current mix (107 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv SumitValue
BH through the middle41%−2.9−0.2+0.5−2.6±2.4
BH crosscourt30%+1.0±0.0−0.1+0.9±3.0
BH down the line14%−0.2+5.2−0.9+4.1±4.3
FH inside-out7%+1.0−0.7+2.1+2.4±3.5
FH through the middle5%−2.9−0.7−0.6−4.2±2.1

Lean BH down the line: +4.2±4.0 per 100 returns v the current mix (340 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.

Sumit Nagal

Favour

ShotEdgeOwnTheirs
FH to the middle · return+3.4±3.5+2.4+1.0
FH to their backhand · rally+3.3±3.8+2.3+1.0
FH to their forehand · rally+3.2±4.0+1.4+1.8
FH to the middle · rally+1.9±3.2+2.2−0.3
BH to their backhand · rally+1.7±3.4+0.7+1.0
FH to their backhand · serve +1+1.6±4.8−1.5+3.2

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1+0.3±5.2−2.4+2.7
BH to the middle · rally+0.4±3.0+1.1−0.7
FH to their backhand · serve +1+1.6±4.8−1.5+3.2
BH to their backhand · rally+1.7±3.4+0.7+1.0
FH to the middle · rally+1.9±3.2+2.2−0.3

Pedro Martinez

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+7.3±4.4+3.0+4.3
BH to their backhand · rally+5.6±3.5+2.4+3.1
BH to the middle · return+4.6±3.2+1.4+3.2
FH to the middle · rally+3.6±3.2+3.6±0.0
BH to the middle · rally+2.1±2.9+2.7−0.6
BH to their backhand · return+0.7±4.0−1.2+1.9

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally+0.4±4.0−0.7+1.1
BH to their backhand · return+0.7±4.0−1.2+1.9
BH to the middle · rally+2.1±2.9+2.7−0.6
FH to the middle · rally+3.6±3.2+3.6±0.0
BH to the middle · return+4.6±3.2+1.4+3.2

Against Pedro Martinez-like opponents

Sumit Nagal vMatchesServe pts wonReturn pts won
All charted opponents–54.5%39.9%

Similar by tactical fingerprint: Lorenzo Musetti, Novak Djokovic, Marton Fucsovics, Roberto Bautista Agut, Nuno Borges, Robin Haase, Pablo Andujar, Filip Krajinovic, Philipp Kohlschreiber, Gaston Gaudio. When two players have rarely met, their records against these lookalikes fill the gap.