RallyIQ

Game plan

Nick Kyrgios v J J Wolf

Every number combines what Nick Kyrgios does well with what J J Wolf allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Nick Kyrgios wins, best of 3 91%90%: 78%–98% · best of 5: 96%
Serve points won 75.6% / 63.9% Nick / J · tour 65.7%
Strengths only, no similarity priors 86%serve 73.7% / 64.4%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Nick Kyrgios's record against J J Wolf's tactical lookalikes and in their charted head-to-heads (lookalikes: +5.3 on serve, +1.4 on return vs expectation (1701 points); head-to-head: +0.9 on serve, +0.1 on return vs expectation (166 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

CareerNickJ
Direction choice−0.04 ±0.06
better than 46%
−0.12 ±0.22
better than 26%
Shot selection−0.09 ±0.06
better than 41%
+0.48 ±0.32
better than 91%
Execution+0.99 ±0.32
better than 95%
−1.36 ±1.07
better than 13%

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.

Nick Kyrgios serving

Deuce court

1st serveNowNick winsv JMatchupOptimal
Wide38%77%76%79.5%±6.628% ▼
Body3%62%62%61.0%±12.60% ▼
T59%83%74%82.0%±5.372% ▲

Optimal v J J Wolf: +0.6±0.6 per 100 first serves (faults included) over the current mix. Serving T every time would read +1.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowNick winsv JMatchupOptimal
Wide46%79%73%78.5%±6.059% ▲
Body5%59%65%61.4%±13.20% ▼
T49%75%69%72.5%±7.941% ▼

Optimal v J J Wolf: +0.6±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.8 per 100 first serves in before the returner adjusts.

J J Wolf serving

Deuce court

1st serveNowJ winsv NickMatchupOptimal
Wide47%70%81%79.4%±5.860% ▲
Body8%64%65%65.2%±12.30% ▼
T45%75%78%77.6%±6.940% ▼

Optimal v Nick Kyrgios: +1.1±0.6 per 100 first serves (faults included) over the current mix. Serving wide every time would read +1.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJ winsv NickMatchupOptimal
Wide48%72%80%79.7%±6.361% ▲
Body10%60%70%67.6%±11.80% ▼
T42%60%74%62.6%±8.339% ▼

Optimal v Nick Kyrgios: +0.5±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +8.4 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.

Nick Kyrgios returning

1st serve to the forehand

ReturnNowTourOwnv JValue
FH through the middle51%+4.3+0.9±0.0+5.1±2.4
FH down the line19%+1.7+1.6−0.3+3.0±3.7
FH crosscourt13%+5.5+2.3+1.1+8.9±3.8
FH slice through the middle12%−4.2+2.2+0.3−1.7±2.1
FH slice down the line4%−4.3+3.5±0.0−0.8±2.2

Lean FH crosscourt: +4.8±3.6 per 100 returns v the current mix (1842 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JValue
BH through the middle44%+6.4+2.4+1.0+9.8±2.2
BH crosscourt27%+8.8+2.1+0.9+11.8±2.9
BH slice through the middle12%−4.2+1.3−1.0−3.9±2.2
BH down the line7%+4.2+0.4+2.1+6.7±4.0
BH slice crosscourt5%+0.5+0.2−1.3−0.6±2.5

Lean BH crosscourt: +4.5±2.4 per 100 returns v the current mix (1682 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JValue
FH through the middle53%−3.5+0.1+0.4−3.0±2.5
FH down the line20%−1.8+1.5+0.7+0.4±4.3
FH crosscourt17%−0.2+1.4−4.7−3.5±4.0
FH slice through the middle3%−12.7+0.5±0.0−12.2±1.5
BH through the middle2%+0.1+0.8+0.4+1.3±1.9

Lean FH down the line: +2.9±3.7 per 100 returns v the current mix (593 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv JValue
BH crosscourt38%+1.0+1.3+0.1+2.4±2.7
BH through the middle38%−2.9−0.1+0.4−2.6±2.1
BH down the line15%−0.2+1.8+0.8+2.4±4.1
FH through the middle2%−2.9+0.8+0.4−1.7±2.4
FH inside-in2%+0.6−1.3−4.7−5.5±4.0

Lean BH crosscourt: +2.5±2.0 per 100 returns v the current mix (1256 returns charted)

J J Wolf returning

1st serve to the forehand

ReturnNowTourOwnv NickValue
FH through the middle46%+4.3−0.3−0.2+3.8±2.4
FH crosscourt40%+5.5−1.7+0.7+4.5±3.9
FH down the line14%+1.7−0.3+1.5+2.9±3.4

Lean FH crosscourt: +0.5±2.6 per 100 returns v the current mix (83 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv NickValue
BH through the middle45%+6.4+1.9+1.2+9.5±2.3
BH crosscourt29%+8.8−1.7+0.6+7.8±3.1
BH down the line17%+4.2+0.9+1.1+6.3±4.1
BH slice through the middle9%−4.2−0.3+0.8−3.7±1.7

Lean BH through the middle: +2.2±1.7 per 100 returns v the current mix (124 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv NickValue
BH crosscourt46%+1.0−2.0+1.3+0.3±2.7
BH through the middle43%−2.9−2.6+1.5−4.0±2.0
BH down the line12%−0.2−1.9+3.9+1.8±3.8

Lean BH crosscourt: +1.7±1.7 per 100 returns v the current mix (68 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 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.

Nick Kyrgios

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+3.9±3.7+0.8+3.1
BH to the middle · return+2.8±2.4+2.2+0.7
BH to the middle · rally+2.4±2.3+1.6+0.8
FH to the middle · return+1.6±2.5+1.6±0.0
BH to their backhand · return+0.2±3.6−0.2+0.4
FH to their backhand · serve +1−0.1±3.9−2.3+2.1

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−2.9±3.3−3.5+0.6
BH to their forehand · rally−0.9±4.5−4.3+3.4
FH to the middle · rally−0.7±2.5−0.9+0.2
BH to their backhand · rally−0.5±2.7−1.3+0.7
FH to their backhand · serve +1−0.1±3.9−2.3+2.1

J J Wolf

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+3.1±3.6−1.1+4.3
FH to their forehand · rally+1.9±3.4−0.2+2.1
BH to the middle · return+1.9±2.5−0.5+2.3
FH to the middle · return+1.4±2.8−0.6+2.1
BH to their backhand · rally+0.8±2.8−0.4+1.2
BH to their backhand · return+0.5±3.8−2.4+2.9

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−2.1±3.9−4.1+2.0
FH to the middle · rally−0.5±2.5−2.5+2.0
FH to their backhand · rally−0.4±3.2−0.8+0.3
BH to the middle · rally−0.2±2.2−1.2+1.0
BH to their backhand · return+0.5±3.8−2.4+2.9

Against J J Wolf-like opponents

Nick Kyrgios vMatchesServe pts wonReturn pts won
All charted opponents–69.6%31.7%
Players most similar to J J Wolf9 74.2%32.0%
J J Wolf (charted head-to-head)1 70.9%37.5%

Similar by tactical fingerprint: Stefanos Tsitsipas, Andrey Rublev, Felix Auger Aliassime, Guy Den Ouden, Marin Cilic, Aleksandar Vukic, Thanasi Kokkinakis, Lloyd Harris, Kyle Edmund, Juan Ignacio Londero. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head