RallyIQ

Game plan

Victor Estrella v Hugo Gaston

Every number combines what Victor Estrella does well with what Hugo Gaston allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Victor Estrella wins, best of 3 13%90%: 2%–45% · best of 5: 8%
Serve points won 56.1% / 64.7% Victor / Hugo · tour 63.8%
Strengths only, no similarity priors 13%serve 56.1% / 64.7%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerVictorHugo
Direction choice−0.39 ±0.21
better than 3%
−0.07 ±0.15
better than 39%
Shot selection−1.61 ±0.19
better than 1%
−0.41 ±0.24
better than 16%
Execution−0.91 ±0.98
better than 27%
−0.58 ±0.52
better than 42%

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.

Victor Estrella serving

Deuce court

1st serveNowVictor winsv HugoMatchupOptimal
Wide25%69%68%64.9%±11.938% ▲
Body15%55%54%45.0%±16.02% ▼
T60%70%75%69.5%±10.060%

Optimal v Hugo Gaston: +0.7±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowVictor winsv HugoMatchupOptimal
Wide42%68%79%74.5%±9.855% ▲
Body7%60%60%57.4%±17.20% ▼
T51%56%73%57.9%±12.145% ▼

Optimal v Hugo Gaston: +0.4±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +9.8 per 100 first serves in before the returner adjusts.

Hugo Gaston serving

Deuce court

1st serveNowHugo winsv VictorMatchupOptimal
Wide41%69%73%69.8%±11.054% ▲
Body16%66%65%67.8%±14.716%
T43%67%70%61.2%±11.130% ▼

Optimal v Victor Estrella: +0.3±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowHugo winsv VictorMatchupOptimal
Wide67%72%77%76.0%±8.280% ▲
Body7%66%66%69.1%±15.50% ▼
T26%75%73%75.8%±12.120% ▼

Optimal v Victor Estrella: +0.4±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide 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.

Victor Estrella returning

1st serve to the forehand

ReturnNowTourOwnv HugoValue
FH slice through the middle42%−4.2−1.8+0.4−5.6±2.1
FH through the middle25%+4.3+1.3−1.9+3.7±2.8
FH slice crosscourt23%−4.3+0.1±0.0−4.2±1.6
FH slice down the line10%−4.3−0.5±0.0−4.7±1.3

Lean FH slice through the middle: −2.7±1.5 per 100 returns v the current mix (52 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv HugoValue
BH slice through the middle56%−4.2+1.1+0.6−2.5±2.4
BH slice down the line20%−8.4+3.3±0.0−5.1±2.3
BH slice crosscourt17%+0.5+1.5+1.5+3.5±2.6
BH through the middle7%+6.4−2.5+2.1+6.0±2.2

Lean BH slice crosscourt: +4.9±2.6 per 100 returns v the current mix (100 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv HugoValue
BH slice through the middle38%−11.3+0.2±0.0−11.1±1.5
BH slice crosscourt31%−4.0−0.2±0.0−4.2±1.5
FH through the middle19%−2.9+0.2−0.5−3.2±2.1
BH through the middle12%−2.9+0.1−0.1−2.9±2.0

Lean BH slice through the middle: −4.6±1.1 per 100 returns v the current mix (42 returns charted, inside the 90% margin)

Hugo Gaston returning

1st serve to the forehand

ReturnNowTourOwnv VictorValue
FH through the middle43%+4.3+0.5±0.0+4.7±3.1
FH crosscourt19%+5.5−4.2+1.3+2.6±4.1
FH slice through the middle17%−4.2−0.5±0.0−4.7±1.6
FH down the line16%+1.7−2.1+1.5+1.1±4.0
FH slice crosscourt5%−4.3−0.1±0.0−4.4±1.4

Lean FH through the middle: +3.0±2.1 per 100 returns v the current mix (152 returns charted)

1st serve to the backhand

ReturnNowTourOwnv VictorValue
BH through the middle39%+6.4−1.1+1.9+7.3±2.9
BH crosscourt34%+8.8−3.4+0.9+6.3±3.1
BH slice through the middle13%−4.2−1.4−1.0−6.6±2.3
BH down the line9%+4.2−1.4+3.3+6.1±4.1
BH slice crosscourt4%+0.5−1.4±0.0−0.8±1.4

Lean BH through the middle: +2.6±2.1 per 100 returns v the current mix (180 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv VictorValue
FH through the middle44%−3.5+0.4−0.1−3.2±2.8
FH crosscourt37%−0.2+0.1±0.0−0.2±3.9
FH down the line13%−1.8−1.2−1.5−4.5±3.9
FH slice crosscourt6%−12.5±0.0±0.0−12.5±1.3

Lean FH crosscourt: +2.6±2.8 per 100 returns v the current mix (84 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv VictorValue
BH through the middle55%−2.9−1.4−0.1−4.3±2.5
BH crosscourt38%+1.0−0.8−0.2±0.0±3.1
BH down the line8%−0.2−1.0+1.1−0.1±3.9

Lean BH crosscourt: +2.4±2.4 per 100 returns v the current mix (80 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 hard. Each player's hard record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Victor Estrella

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally−1.0±4.5−1.5+0.5
FH to their forehand · rally−2.1±4.9±0.0−2.1
FH to the middle · rally−2.8±3.7−3.4+0.5
FH to their forehand · serve +1−5.0±6.0−1.5−3.4
FH to their backhand · serve +1−8.1±5.3−6.5−1.6

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−8.1±5.3−6.5−1.6
FH to their forehand · serve +1−5.0±6.0−1.5−3.4
FH to the middle · rally−2.8±3.7−3.4+0.5
FH to their forehand · rally−2.1±4.9±0.0−2.1
FH to their backhand · rally−1.0±4.5−1.5+0.5

Hugo Gaston

Favour

ShotEdgeOwnTheirs
BH to the middle · return+3.8±3.8+0.4+3.4
FH to their backhand · rally+1.7±4.2+2.6−0.9
FH to the middle · return+1.6±4.1+1.0+0.6
FH to their forehand · rally+0.9±5.4+5.0−4.2
BH to the middle · rally+0.2±3.4−0.6+0.8
BH to their forehand · rally−0.9±6.2−0.2−0.8

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−6.4±5.5+0.8−7.2
FH to their forehand · serve +1−5.0±6.1−1.0−4.0
FH to the middle · rally−2.1±3.8+1.6−3.7
BH to their forehand · rally−0.9±6.2−0.2−0.8
BH to the middle · rally+0.2±3.4−0.6+0.8

Against Hugo Gaston-like opponents

Victor Estrella vMatchesServe pts wonReturn pts won
All charted opponents–56.6%34.2%

Similar by tactical fingerprint: Carlos Alcaraz, Alexander Bublik, Luciano Darderi, Pedro Martinez, Yannick Hanfmann, Mattia Bellucci, Benoit Paire, Marco Cecchinato, Gustavo Kuerten, Gaston Gaudio. When two players have rarely met, their records against these lookalikes fill the gap.