RallyIQ

Game plan

Rinky Hijikata v Nicolas Mahut

Every number combines what Rinky Hijikata does well with what Nicolas Mahut allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Rinky Hijikata wins, best of 3 35%90%: 12%–67% · best of 5: 32%
Serve points won 63.1% / 66.2% Rinky / Nicolas · tour 63.4%
Strengths only, no similarity priors 35%serve 63.1% / 66.2%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerRinkyNicolas
Direction choice+0.05 ±0.09
better than 70%
+0.07 ±0.19
better than 76%
Shot selection+0.25 ±0.27
better than 75%
+0.20 ±0.36
better than 73%
Execution−0.22 ±0.71
better than 57%
−0.08 ±0.92
better than 64%
Points left on the table2.53 ±0.15
lower than 57%
3.05 ±0.16
lower than 18%

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.

Rinky Hijikata serving

Deuce court

1st serveNowRinky winsv NicolasMatchupOptimal
Wide48%67%77%71.9%±7.244% ▼
Body8%53%65%55.4%±14.60% ▼
T43%69%81%76.0%±7.456% ▲

Optimal v Nicolas Mahut: +0.7±0.8 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 serveNowRinky winsv NicolasMatchupOptimal
Wide50%77%80%83.5%±5.963% ▲
Body6%63%68%67.5%±14.90% ▼
T44%72%77%76.8%±7.137% ▼

Optimal v Nicolas Mahut: +0.9±0.8 per 100 first serves (faults included) over the current mix. Serving wide every time would read +3.8 per 100 first serves in before the returner adjusts.

Nicolas Mahut serving

Deuce court

1st serveNowNicolas winsv RinkyMatchupOptimal
Wide42%80%75%82.3%±5.855% ▲
Body11%65%65%67.0%±13.10% ▼
T47%82%71%79.1%±6.745% ▼

Optimal v Rinky Hijikata: +1.0±0.9 per 100 first serves (faults included) over the current mix. Serving wide every time would read +3.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowNicolas winsv RinkyMatchupOptimal
Wide50%84%75%85.1%±5.542% ▼
Body6%66%58%62.0%±16.60% ▼
T44%78%74%79.7%±6.558% ▲

Optimal v Rinky Hijikata: +0.6±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.7 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.

Rinky Hijikata returning

1st serve to the forehand

ReturnNowTourOwnv NicolasValue
FH through the middle53%+4.3−0.6+2.4+6.0±2.8
FH crosscourt29%+5.5+1.0+2.4+8.9±4.4
FH down the line14%+1.7−1.0−3.7−3.0±4.5
FH slice through the middle4%−4.2+0.8−0.5−3.9±2.0

Lean FH crosscourt: +3.7±3.6 per 100 returns v the current mix (222 returns charted)

1st serve to the backhand

ReturnNowTourOwnv NicolasValue
BH through the middle38%+6.4+2.1−0.7+7.8±2.7
BH crosscourt28%+8.8−2.7−1.3+4.8±3.6
BH down the line12%+4.2−2.2−0.5+1.5±4.5
BH slice through the middle11%−4.2−0.6−0.7−5.5±2.4
BH slice crosscourt8%+0.5−1.3−0.1−1.0±2.7

Lean BH through the middle: +4.3±2.1 per 100 returns v the current mix (222 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv NicolasValue
FH through the middle49%−3.5+0.6+1.1−1.8±2.9
FH crosscourt36%−0.2+1.2+1.1+2.1±4.0
FH down the line14%−1.8±0.0−2.0−3.8±4.1

Lean FH crosscourt: +2.7±3.0 per 100 returns v the current mix (77 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv NicolasValue
BH through the middle39%−2.9−0.1+0.2−2.8±2.5
BH crosscourt35%+1.0+2.4+2.8+6.2±3.3
BH down the line22%−0.2+0.6+0.2+0.6±4.9
FH inside-out5%+1.0+0.5−2.0−0.6±3.1

Lean BH crosscourt: +5.0±2.6 per 100 returns v the current mix (153 returns charted)

Nicolas Mahut returning

1st serve to the forehand

ReturnNowTourOwnv RinkyValue
FH through the middle44%+4.3+0.2+1.1+5.5±2.8
FH down the line19%+1.7−4.1−0.7−3.1±4.5
FH crosscourt16%+5.5−1.2−0.2+4.1±4.4
FH slice through the middle14%−4.2−0.3+0.9−3.6±1.9
FH slice down the line5%−4.3+2.7±0.0−1.6±1.8

Lean FH through the middle: +3.6±1.9 per 100 returns v the current mix (271 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RinkyValue
BH slice through the middle44%−4.2+3.1+0.1−1.0±2.4
BH slice crosscourt22%+0.5+6.3+0.1+6.9±2.9
BH through the middle11%+6.4−1.2+1.7+6.9±2.7
BH slice down the line9%−8.4+3.4−0.9−5.9±2.8
BH down the line8%+4.2+1.1−1.9+3.5±4.3

Lean BH slice crosscourt: +4.9±2.5 per 100 returns v the current mix (201 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv RinkyValue
BH slice through the middle28%−11.3+0.7±0.0−10.6±1.7
BH down the line24%−0.2−0.3+1.9+1.4±4.9
BH slice crosscourt18%−4.0+0.3±0.0−3.7±1.7
BH through the middle16%−2.9−0.4+3.3±0.0±2.4
BH crosscourt10%+1.0−0.8+3.1+3.3±3.0

Lean BH down the line: +4.7±3.8 per 100 returns v the current mix (135 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.

Rinky Hijikata

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+7.4±3.5+3.0+4.4
FH to their forehand · return+5.0±4.5+1.9+3.1
FH to their forehand · serve +1+3.7±3.8+3.0+0.7
BH to their forehand · rally+2.4±4.5+2.5−0.2
FH to their backhand · return +1+2.1±4.1−3.3+5.3
FH to the middle · return+1.9±2.4+0.1+1.8

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−5.7±3.1−2.4−3.2
FH to their backhand · return−3.2±4.1+0.7−3.9
FH to their forehand · return +1−2.0±4.4−0.6−1.4
BH to their backhand · rally−1.9±2.7+1.7−3.6
FH to their forehand · rally−1.6±3.3+0.1−1.7

Nicolas Mahut

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+6.0±4.1+4.9+1.1
BH slice to their backhand · rally+3.1±2.4+1.6+1.5
BH to the middle · return+2.0±2.5−0.7+2.8
FH to their backhand · serve +1+1.7±3.6+1.2+0.5
FH to the middle · return+1.2±2.5−0.5+1.7
FH to the middle · rally+0.9±2.5+0.1+0.8

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−6.3±4.1−3.9−2.4
BH to their forehand · return−2.1±4.6−2.1±0.0
FH to their backhand · return +1−1.2±4.1−0.2−0.9
FH to their forehand · rally−1.2±3.4+0.9−2.0
FH to their forehand · return +1−0.6±4.4−0.7+0.1

Against Nicolas Mahut-like opponents

Rinky Hijikata vMatchesServe pts wonReturn pts won
All charted opponents–59.6%35.2%

Similar by tactical fingerprint: Giovanni Mpetshi Perricard, Pierre Hugues Herbert, Tim Van Rijthoven, Steve Johnson, Sergiy Stakhovsky, Roger Federer, Gilles Muller, Fernando Gonzalez, Tim Henman, Mark Philippoussis. When two players have rarely met, their records against these lookalikes fill the gap.