RallyIQ

Game plan

Hyeon Chung v Marcel Granollers

Every number combines what Hyeon Chung does well with what Marcel Granollers allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Hyeon Chung wins, best of 3 57%90%: 22%–87% · best of 5: 59%
Serve points won 60.1% / 58.7% Hyeon / Marcel · tour 63.4%
Strengths only, no similarity priors 59%serve 60.2% / 58.6%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Hyeon Chung's record against Marcel Granollers's tactical lookalikes and in their charted head-to-heads (lookalikes: −3.9 on serve, −2.6 on return vs expectation (148 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

CareerHyeonMarcel
Direction choice−0.27 ±0.10
better than 7%
−0.15 ±0.22
better than 20%
Shot selection−0.08 ±0.26
better than 42%
−0.52 ±0.36
better than 11%
Execution−0.07 ±1.07
better than 65%
−0.26 ±0.54
better than 55%
Points left on the table2.47 ±0.15
lower than 66%
2.75 ±0.26
lower than 35%

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.

Hyeon Chung serving

Deuce court

1st serveNowHyeon winsv MarcelMatchupOptimal
Wide44%65%73%65.0%±9.757% ▲
Body15%59%67%62.5%±14.02% ▼
T41%69%76%70.6%±9.841%

Optimal v Marcel Granollers: +0.4±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowHyeon winsv MarcelMatchupOptimal
Wide37%61%66%52.6%±11.737%
Body20%60%63%59.8%±14.07% ▼
T43%65%70%63.0%±10.956% ▲

Optimal v Marcel Granollers: +0.6±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.4 per 100 first serves in before the returner adjusts.

Marcel Granollers serving

Deuce court

1st serveNowMarcel winsv HyeonMatchupOptimal
Wide49%69%72%67.7%±9.150%
Body16%66%49%51.0%±14.93% ▼
T34%74%78%77.5%±9.247% ▲

Optimal v Hyeon Chung: +1.1±1.1 per 100 first serves (faults included) over the current mix. Serving T every time would read +9.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMarcel winsv HyeonMatchupOptimal
Wide30%77%74%78.1%±9.743% ▲
Body18%56%60%53.1%±14.55% ▼
T53%72%70%69.8%±10.252%

Optimal v Hyeon Chung: +0.9±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +8.8 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.

Hyeon Chung returning

1st serve to the forehand

ReturnNowTourOwnv MarcelValue
FH through the middle55%+4.3+1.1+1.8+7.1±3.0
FH crosscourt25%+5.5±0.0+0.5+6.0±4.3
FH down the line20%+1.7+1.0+0.7+3.4±4.5

Lean FH through the middle: +1.0±2.0 per 100 returns v the current mix (157 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv MarcelValue
BH through the middle44%+6.4+2.3−1.3+7.4±2.9
BH crosscourt18%+8.8−2.5−0.1+6.1±3.2
BH down the line18%+4.2−0.6−0.7+2.8±4.1
BH slice through the middle14%−4.2+0.2+0.3−3.6±2.1
BH slice down the line6%−8.4+1.2±0.0−7.2±1.7

Lean BH through the middle: +3.4±1.9 per 100 returns v the current mix (142 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MarcelValue
FH through the middle57%−3.5+0.4−0.6−3.7±2.9
FH down the line23%−1.8−2.3−0.5−4.6±4.3
FH crosscourt20%−0.2−3.4+0.3−3.3±4.0

Lean FH crosscourt: +0.5±3.7 per 100 returns v the current mix (79 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv MarcelValue
BH through the middle53%−2.9+1.9+0.7−0.3±2.6
BH crosscourt36%+1.0+0.6+1.3+2.9±3.2
BH down the line10%−0.2−2.6+0.5−2.3±4.2

Lean BH crosscourt: +2.2±2.5 per 100 returns v the current mix (96 returns charted, inside the 90% margin)

Marcel Granollers returning

1st serve to the forehand

ReturnNowTourOwnv HyeonValue
FH through the middle45%+4.3+1.6+3.3+9.2±2.9
FH slice through the middle23%−4.2+3.9±0.0−0.3±1.9
FH crosscourt13%+5.5−3.4+3.3+5.3±4.1
FH down the line13%+1.7+0.4+2.2+4.3±4.2
FH slice down the line7%−4.3+3.6±0.0−0.6±1.6

Lean FH through the middle: +4.0±1.9 per 100 returns v the current mix (128 returns charted)

1st serve to the backhand

ReturnNowTourOwnv HyeonValue
BH through the middle45%+6.4+0.2+1.2+7.8±2.8
BH crosscourt20%+8.8+0.7−0.4+9.0±3.5
BH slice through the middle14%−4.2+0.6+2.5−1.2±2.4
BH down the line10%+4.2+0.8−0.8+4.2±3.9
BH slice crosscourt5%+0.5−1.0−0.2−0.6±2.5

Lean BH crosscourt: +3.9±3.1 per 100 returns v the current mix (134 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv HyeonValue
BH through the middle61%−2.9−0.9+2.8−1.0±2.5
BH crosscourt32%+1.0+1.9−0.4+2.5±3.2
BH down the line8%−0.2+0.4+1.2+1.3±3.8

Lean BH crosscourt: +2.2±2.7 per 100 returns v the current mix (66 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.

Hyeon Chung

Favour

ShotEdgeOwnTheirs
FH to the middle · return+1.9±2.6+1.2+0.6
BH to the middle · return+1.9±2.5+2.4−0.5
FH to their forehand · serve +1+0.9±4.1−0.3+1.2
FH to the middle · rally+0.9±2.4+1.0−0.1
FH to their forehand · rally+0.8±3.1−0.2+1.0
BH to their backhand · rally+0.6±2.6±0.0+0.6

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−0.9±3.0−1.1+0.3
FH to their backhand · serve +1−0.8±3.8+0.1−0.9
FH to their backhand · return−0.6±4.2−1.0+0.4
BH to the middle · rally−0.1±2.1+0.5−0.6
BH to their backhand · rally+0.6±2.6±0.0+0.6

Marcel Granollers

Favour

ShotEdgeOwnTheirs
FH to the middle · return+5.1±2.7+2.2+2.9
FH to their forehand · serve +1+0.8±4.2+0.6+0.3
BH to the middle · return+0.8±2.3−1.4+2.2
BH to the middle · rally+0.2±2.1±0.0+0.2
BH to their backhand · return±0.0±3.4+1.2−1.1
BH slice to their backhand · rally−0.1±2.6−0.3+0.2

Avoid

ShotEdgeOwnTheirs
BH to their backhand · serve +1−1.4±3.5−0.4−1.0
FH to the middle · rally−0.8±2.4+1.3−2.0
BH to their backhand · rally−0.7±2.5−0.3−0.3
FH to their forehand · rally−0.6±3.1−0.1−0.5
FH to their backhand · rally−0.5±3.2−1.3+0.8

Against Marcel Granollers-like opponents

Hyeon Chung vMatchesServe pts wonReturn pts won
All charted opponents–55.5%38.4%
Players most similar to Marcel Granollers1 52.9%38.0%

Similar by tactical fingerprint: Alex De Minaur, Daniil Medvedev, Botic Van De Zandschulp, Frances Tiafoe, Miomir Kecmanovic, Alexandre Muller, Diego Schwartzman, Andy Murray, Gilles Simon. When two players have rarely met, their records against these lookalikes fill the gap.