RallyIQ

Game plan

Hugo Gaston v Mikhail Kukushkin

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

Forecast

Hugo Gaston wins, best of 3 82%90%: 44%–98% · best of 5: 88%
Serve points won 63.4% / 56.2% Hugo / Mikhail · tour 61.3%
Strengths only, no similarity priors 82%serve 63.2% / 56.3%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Hugo Gaston's record against Mikhail Kukushkin's tactical lookalikes and in their charted head-to-heads (lookalikes: +4.4 on serve, +1.7 on return vs expectation (130 points)). 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

CareerHugoMikhail
Direction choice−0.07 ±0.15
better than 39%
−0.01 ±0.12
better than 54%
Shot selection−0.41 ±0.24
better than 16%
−0.15 ±0.17
better than 33%
Execution−0.58 ±0.52
better than 42%
−0.47 ±0.63
better than 46%
Points left on the table3.11 ±0.27
lower than 15%
2.16 ±0.18
lower than 95%

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.

Hugo Gaston serving

Deuce court

1st serveNowHugo winsv MikhailMatchupOptimal
Wide41%69%69%65.0%±9.241%
Body16%66%53%55.8%±13.53% ▼
T43%67%80%72.8%±7.756% ▲

Optimal v Mikhail Kukushkin: +1.1±1.0 per 100 first serves (faults included) over the current mix. Serving T every time would read +5.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowHugo winsv MikhailMatchupOptimal
Wide67%72%72%71.4%±7.380% ▲
Body7%66%73%75.1%±12.07%
T26%75%69%71.6%±10.613% ▼

Optimal v Mikhail Kukushkin: +0.2±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +3.3 per 100 first serves in before the returner adjusts.

Mikhail Kukushkin serving

Deuce court

1st serveNowMikhail winsv HugoMatchupOptimal
Wide48%69%68%64.6%±8.346% ▼
Body12%57%54%46.7%±13.80% ▼
T40%71%75%70.5%±8.354% ▲

Optimal v Hugo Gaston: +0.9±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMikhail winsv HugoMatchupOptimal
Wide52%67%79%73.8%±7.865% ▲
Body15%57%60%54.2%±13.82% ▼
T33%65%73%66.6%±9.333%

Optimal v Hugo Gaston: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.3 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.

Hugo Gaston returning

1st serve to the forehand

ReturnNowTourOwnv MikhailValue
FH through the middle43%+4.3+0.5+2.4+7.1±2.9
FH crosscourt19%+5.5−4.2+3.5+4.8±4.4
FH slice through the middle17%−4.2−0.5+1.9−2.8±2.3
FH down the line16%+1.7−2.1+2.5+2.1±4.4
FH slice crosscourt5%−4.3−0.1+1.1−3.4±2.2

Lean FH through the middle: +3.5±2.0 per 100 returns v the current mix (152 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MikhailValue
BH through the middle39%+6.4−1.1+0.7+6.1±2.7
BH crosscourt34%+8.8−3.4+1.8+7.2±3.5
BH slice through the middle13%−4.2−1.4+1.9−3.7±2.4
BH down the line9%+4.2−1.4+0.3+3.1±4.2
BH slice crosscourt4%+0.5−1.4−0.4−1.3±2.1

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

2nd serve to the forehand

ReturnNowTourOwnv MikhailValue
FH through the middle44%−3.5+0.4+0.5−2.7±2.9
FH crosscourt37%−0.2+0.1+2.0+1.8±4.3
FH down the line13%−1.8−1.2+0.1−2.9±4.2
FH slice crosscourt6%−12.5±0.0+1.1−11.4±1.9

Lean FH crosscourt: +3.4±3.0 per 100 returns v the current mix (84 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MikhailValue
BH through the middle55%−2.9−1.4−0.5−4.7±2.4
BH crosscourt38%+1.0−0.8−0.6−0.3±3.2
BH down the line8%−0.2−1.0+1.1−0.1±4.0

Lean BH crosscourt: +2.4±2.5 per 100 returns v the current mix (80 returns charted, inside the 90% margin)

Mikhail Kukushkin returning

1st serve to the forehand

ReturnNowTourOwnv HugoValue
FH through the middle46%+4.3+0.3−1.9+2.7±3.0
FH crosscourt24%+5.5+2.5−1.0+7.0±4.4
FH down the line22%+1.7+0.2−3.4−1.5±4.4
FH slice through the middle7%−4.2−0.9+0.4−4.8±2.1
FH slice down the line2%−4.3−0.2±0.0−4.4±1.3

Lean FH crosscourt: +4.9±3.8 per 100 returns v the current mix (283 returns charted)

1st serve to the backhand

ReturnNowTourOwnv HugoValue
BH crosscourt32%+8.8−3.2−1.3+4.3±3.5
BH through the middle31%+6.4+0.5+2.1+9.0±2.6
BH slice through the middle16%−4.2+0.9+0.6−2.8±2.4
BH slice crosscourt15%+0.5−3.4+1.5−1.3±2.8
BH down the line4%+4.2−0.9±0.0+3.3±4.1

Lean BH through the middle: +5.6±2.2 per 100 returns v the current mix (268 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv HugoValue
FH through the middle49%−3.5+0.9−0.5−3.1±2.8
FH down the line33%−1.8+3.6+1.3+3.1±4.4
FH crosscourt18%−0.2−0.4−1.6−2.2±3.9

Lean FH down the line: +4.0±3.3 per 100 returns v the current mix (55 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv HugoValue
BH through the middle44%−2.9+0.6−0.1−2.3±2.5
BH crosscourt40%+1.0−3.5−0.5−3.0±3.3
BH down the line16%−0.2+2.0+2.3+4.1±4.7

Lean BH down the line: +5.7±4.3 per 100 returns v the current mix (136 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.

Hugo Gaston

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+4.6±5.5+2.5+2.0
FH to their backhand · serve +1+4.0±4.9+3.8+0.2
FH to their backhand · return +1+3.9±5.4+1.5+2.4
FH to the middle · rally+3.7±3.3+0.7+3.0
FH to the middle · return+2.7±3.6−0.9+3.6
FH to their backhand · rally+2.5±4.3+3.4−0.9

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−8.4±3.9−7.0−1.4
BH to their forehand · return−3.0±5.4−3.4+0.4
BH to their backhand · serve +1−3.0±4.2−1.3−1.7
BH to the middle · rally−2.9±3.0−2.8−0.2
BH to their forehand · rally−1.7±4.7−1.2−0.5

Mikhail Kukushkin

Favour

ShotEdgeOwnTheirs
BH to the middle · return+5.1±3.1+2.0+3.1
BH to their forehand · serve +1+2.3±5.9−0.4+2.7
BH to their forehand · return+1.1±5.1+0.8+0.3
FH to their backhand · return +1+0.9±4.6−1.3+2.2
BH to their forehand · rally+0.5±5.4−3.2+3.7
FH to the middle · rally−1.2±3.3−0.1−1.1

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−8.2±4.8−4.0−4.2
FH to their backhand · rally−4.6±4.1−3.9−0.7
FH to their forehand · serve +1−4.2±5.6+0.6−4.9
FH to their backhand · serve +1−4.2±4.5−2.3−1.9
BH to the middle · rally−3.3±3.1−0.7−2.5

Against Mikhail Kukushkin-like opponents

Hugo Gaston vMatchesServe pts wonReturn pts won
All charted opponents–60.8%37.9%
Players most similar to Mikhail Kukushkin1 67.9%32.9%

Similar by tactical fingerprint: Hubert Hurkacz, Valentin Vacherot, Tommy Paul, Novak Djokovic, Karen Khachanov, Jaume Munar, Laslo Djere, Alex Michelsen, Kei Nishikori, Pablo Andujar. When two players have rarely met, their records against these lookalikes fill the gap.