RallyIQ

Game plan

Valentin Royer v Pedro Martinez

Every number combines what Valentin Royer 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

Valentin Royer wins, best of 3 68%90%: 30%–93% · best of 5: 72%
Serve points won 66.3% / 62.5% Valentin / Pedro · tour 65.7%
Strengths only, no similarity priors 68%serve 66.3% / 62.5%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Valentin Royer'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.

Head to head, per 100 shots

CareerValentinPedro
Direction choice−0.08 ±0.16
better than 34%
−0.06 ±0.08
better than 43%
Shot selection+0.45 ±0.24
better than 89%
−0.06 ±0.23
better than 46%
Execution−1.03 ±0.65
better than 24%
+0.23 ±0.43
better than 77%

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.

Valentin Royer serving

Deuce court

1st serveNowValentin winsv PedroMatchupOptimal
Wide36%78%75%79.9%±7.449% ▲
Body22%65%70%71.4%±11.09% ▼
T42%75%76%75.7%±8.142%

Optimal v Pedro Martinez: +0.6±1.0 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.

Ad court

1st serveNowValentin winsv PedroMatchupOptimal
Wide46%71%71%69.1%±9.146%
Body19%56%56%48.9%±13.46% ▼
T35%75%73%76.3%±8.448% ▲

Optimal v Pedro Martinez: +1.3±1.0 per 100 first serves (faults included) over the current mix. Serving T every time would read +8.4 per 100 first serves in before the returner adjusts.

Pedro Martinez serving

Deuce court

1st serveNowPedro winsv ValentinMatchupOptimal
Wide41%65%75%67.2%±8.854% ▲
Body11%59%63%59.1%±13.50% ▼
T48%68%74%66.6%±9.046% ▼

Optimal v Valentin Royer: +0.4±0.9 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 serveNowPedro winsv ValentinMatchupOptimal
Wide54%63%71%61.2%±9.254%
Body16%59%63%59.1%±12.53% ▼
T30%62%72%62.5%±9.943% ▲

Optimal v Valentin Royer: +0.5±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.2 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.

Valentin Royer returning

1st serve to the forehand

ReturnNowTourOwnv PedroValue
FH through the middle46%+4.3−2.6+1.7+3.4±2.7
FH crosscourt27%+5.5−1.3+6.1+10.3±4.2
FH down the line22%+1.7+0.8+1.6+4.1±4.3
FH slice through the middle5%−4.2−1.6+1.7−4.1±1.9

Lean FH crosscourt: +5.2±3.4 per 100 returns v the current mix (124 returns charted)

1st serve to the backhand

ReturnNowTourOwnv PedroValue
BH through the middle45%+6.4+0.7+1.6+8.7±2.4
BH crosscourt38%+8.8+1.7+1.7+12.2±3.1
BH slice through the middle9%−4.2−2.2−1.4−7.8±2.2
BH down the line8%+4.2+0.1+4.4+8.7±4.0

Lean BH crosscourt: +3.6±2.2 per 100 returns v the current mix (102 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv PedroValue
BH through the middle60%−2.9+0.8+1.0−1.1±2.4
BH crosscourt40%+1.0−2.8+1.2−0.6±2.9

Lean BH crosscourt: +0.3±2.2 per 100 returns v the current mix (42 returns charted, inside the 90% margin)

Pedro Martinez returning

1st serve to the forehand

ReturnNowTourOwnv ValentinValue
FH through the middle43%+4.3+2.1−0.8+5.6±2.8
FH crosscourt21%+5.5+1.1−0.6+6.0±4.2
FH slice through the middle13%−4.2+1.7−0.9−3.4±2.0
FH down the line12%+1.7+1.9−4.1−0.6±4.3
FH slice crosscourt8%−4.3+0.6±0.0−3.7±2.0

Lean FH crosscourt: +3.3±3.6 per 100 returns v the current mix (426 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv ValentinValue
BH through the middle41%+6.4+2.2−0.2+8.4±2.5
BH crosscourt27%+8.8−3.4−0.5+5.0±3.3
BH down the line13%+4.2−0.4±0.0+3.8±4.4
BH slice through the middle12%−4.2−1.5−0.7−6.5±2.5
BH slice crosscourt4%+0.5−1.5+1.2+0.2±2.8

Lean BH through the middle: +4.2±1.8 per 100 returns v the current mix (517 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ValentinValue
FH through the middle52%−3.5+1.2−1.6−3.8±2.9
FH crosscourt37%−0.2−0.4−1.8−2.4±4.3
FH down the line10%−1.8+0.6+0.6−0.5±3.8

Lean FH crosscourt: +0.5±3.1 per 100 returns v the current mix (107 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv ValentinValue
BH through the middle41%−2.9−0.2−0.1−3.2±2.4
BH crosscourt30%+1.0±0.0+0.8+1.8±3.1
BH down the line14%−0.2+5.2−0.2+4.8±4.1
FH inside-out7%+1.0−0.7+0.6+0.9±3.3
FH through the middle5%−2.9−0.7−1.6−5.2±2.3

Lean BH down the line: +5.2±3.8 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 grass. Each player's grass record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Valentin Royer

Favour

ShotEdgeOwnTheirs
BH to the middle · return+6.3±3.0+0.6+5.7
BH to their backhand · rally+3.1±3.1+0.4+2.7
FH to the middle · return+3.1±3.0−1.4+4.5
FH to their backhand · serve +1+2.7±4.1+0.1+2.6
BH to their forehand · rally+1.7±4.9+2.4−0.7
FH to their forehand · serve +1+1.4±4.5−1.2+2.6

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return +1−1.6±4.1−1.3−0.3
BH to the middle · rally−1.1±2.0−1.7+0.5
FH to their backhand · rally+0.3±3.7+0.1+0.2
FH to the middle · rally+0.4±2.9+0.1+0.4
FH to their forehand · rally+0.5±4.1−0.7+1.2

Pedro Martinez

Favour

ShotEdgeOwnTheirs
FH to the middle · rally+5.6±2.7+3.8+1.8
FH to their forehand · serve +1+5.0±3.7+1.3+3.7
BH to the middle · rally+3.2±2.5+2.3+0.9
FH to their forehand · rally+2.8±3.9+2.7+0.1
FH to the middle · serve +1+2.7±3.1+0.8+1.9
FH to their backhand · serve +1+2.3±4.0+0.1+2.2

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−2.7±3.7−0.8−2.0
BH to their backhand · rally−1.6±3.1+1.5−3.1
FH to the middle · return−0.7±2.5+0.9−1.6
BH to the middle · return+0.9±3.0+1.8−0.9
FH to their backhand · serve +1+2.3±4.0+0.1+2.2

Against Pedro Martinez-like opponents

Valentin Royer vMatchesServe pts wonReturn pts won
All charted opponents–63.9%37.1%

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.