RallyIQ

Game plan

Rafael Nadal v Nick Kyrgios

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

Forecast

Rafael Nadal wins, best of 3 68%90%: 55%–78% · best of 5: 72%
Serve points won 73.5% / 69.5% Rafael / Nick · tour 65.7%
Strengths only, no similarity priors 67%serve 72.5% / 68.7%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Rafael Nadal's record against Nick Kyrgios's tactical lookalikes and in their charted head-to-heads (lookalikes: +1.7 on serve, −1.7 on return vs expectation (687 points); head-to-head: +2.0 on serve, −1.5 on return vs expectation (1659 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

CareerRafaelNick
Direction choice+0.02 ±0.03
better than 62%
−0.04 ±0.06
better than 46%
Shot selection+0.38 ±0.05
better than 85%
−0.09 ±0.06
better than 41%
Execution+1.32 ±0.10
better than 99%
+0.99 ±0.32
better than 95%
Points left on the table2.66 ±0.04
lower than 43%
2.66 ±0.12
lower than 44%

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.

Structural compatibility

Expected edge per 100 rally shots from style alone: Rafael Nadal +2.87, Nick Kyrgios −0.47. Each player's shot mix weighted by their own skill with each shot and by how much the other gives up against it. This is why some rankings gaps don't hold in a given matchup.

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.

Rafael Nadal serving

Deuce court

1st serveNowRafael winsv NickMatchupOptimal
Wide31%75%81%82.6%±1.844% ▲
Body18%64%65%65.8%±4.15% ▼
T51%69%78%72.7%±2.251%

Optimal v Nick Kyrgios: +1.6±0.5 per 100 first serves (faults included) over the current mix. Serving wide every time would read +8.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRafael winsv NickMatchupOptimal
Wide54%71%80%79.0%±2.167% ▲
Body18%67%70%73.5%±3.75% ▼
T28%75%74%76.9%±2.228%

Optimal v Nick Kyrgios: +0.3±0.4 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.6 per 100 first serves in before the returner adjusts.

Nick Kyrgios serving

Deuce court

1st serveNowNick winsv RafaelMatchupOptimal
Wide38%77%66%70.7%±2.228% ▼
Body3%62%58%57.3%±7.00% ▼
T59%83%74%82.4%±1.672% ▲

Optimal v Rafael Nadal: +0.7±0.3 per 100 first serves (faults included) over the current mix. Serving T every time would read +5.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowNick winsv RafaelMatchupOptimal
Wide46%79%71%77.7%±2.159% ▲
Body5%59%57%53.2%±6.20% ▼
T49%75%66%69.6%±2.241% ▼

Optimal v Rafael Nadal: +0.7±0.3 per 100 first serves (faults included) over the current mix. Serving wide every time would read +5.2 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.

Rafael Nadal returning

1st serve to the forehand

ReturnNowTourOwnv NickValue
FH through the middle46%+4.3+0.4−0.2+4.4±1.1
FH crosscourt31%+5.5+2.4+1.5+9.4±2.4
FH down the line16%+1.7−0.8+0.7+1.6±2.8
FH slice through the middle3%−4.2+0.1+3.1−1.0±1.8
FH slice crosscourt2%−4.3+7.5+3.3+6.5±2.7

Lean FH crosscourt: +4.0±1.8 per 100 returns v the current mix (5711 returns charted)

1st serve to the backhand

ReturnNowTourOwnv NickValue
BH through the middle38%+6.4−0.2+1.2+7.4±1.1
BH crosscourt19%+8.8−1.2+1.1+8.8±2.3
BH slice through the middle17%−4.2+2.1+0.8−1.3±1.2
BH down the line15%+4.2+3.3+0.6+8.2±2.6
BH slice down the line7%−8.4+5.7+0.4−2.3±2.3
FH inside-in0%+8.0+2.3+1.5+11.8±3.4

Lean FH inside-in: +6.5±3.5 per 100 returns v the current mix (9039 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv NickValue
FH crosscourt48%−0.2+0.7−0.2+0.2±2.9
FH through the middle33%−3.5−2.6+0.6−5.5±1.6
FH down the line17%−1.8+3.8−4.4−2.3±3.7
BH inside-out1%+0.9+0.3+1.3+2.5±3.2
FH slice through the middle1%−12.7−0.2−1.0−13.8±2.2

Lean FH crosscourt: +2.4±1.7 per 100 returns v the current mix (2037 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv NickValue
BH through the middle35%−2.9+2.0+1.5+0.6±1.1
BH crosscourt28%+1.0−1.0+3.9+3.9±2.1
BH down the line17%−0.2+1.8+1.3+2.9±2.6
FH through the middle9%−2.9+1.2+0.6−1.0±1.4
FH inside-in8%+0.6+1.5−0.2+1.9±3.1

Lean BH crosscourt: +2.3±1.7 per 100 returns v the current mix (5854 returns charted)

Nick Kyrgios returning

1st serve to the forehand

ReturnNowTourOwnv RafaelValue
FH through the middle51%+4.3+0.9−0.9+4.3±1.1
FH down the line19%+1.7+1.6+0.1+3.3±2.5
FH crosscourt13%+5.5+2.3+1.7+9.5±2.6
FH slice through the middle12%−4.2+2.2±0.0−2.1±1.7
FH slice down the line4%−4.3+3.5−3.6−4.3±3.2

Lean FH crosscourt: +5.9±2.4 per 100 returns v the current mix (1842 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RafaelValue
BH through the middle44%+6.4+2.4+0.7+9.5±1.1
BH crosscourt27%+8.8+2.1+4.3+15.1±1.7
BH slice through the middle12%−4.2+1.3+1.9−1.0±1.6
BH down the line7%+4.2+0.4−1.0+3.6±3.2
BH slice crosscourt5%+0.5+0.2+3.6+4.3±2.5

Lean BH crosscourt: +6.8±1.4 per 100 returns v the current mix (1682 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RafaelValue
FH through the middle53%−3.5+0.1−0.4−3.8±1.6
FH down the line20%−1.8+1.5+0.4+0.1±3.5
FH crosscourt17%−0.2+1.4−0.7+0.5±3.2
FH slice through the middle3%−12.7+0.5+0.1−12.1±2.3
BH through the middle2%+0.1+0.8+0.1+1.0±1.3

Lean FH crosscourt: +2.9±2.9 per 100 returns v the current mix (593 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv RafaelValue
BH crosscourt38%+1.0+1.3−0.2+2.2±1.6
BH through the middle38%−2.9−0.1+0.1−2.9±1.2
BH down the line15%−0.2+1.8−1.3+0.2±3.3
FH through the middle2%−2.9+0.8−0.4−2.6±1.7
FH inside-in2%+0.6−1.3−0.7−1.5±3.2

Lean BH crosscourt: +2.8±1.2 per 100 returns v the current mix (1256 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 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.

Rafael Nadal

Favour

ShotEdgeOwnTheirs
BH volley to their forehand · rally+21.4±7.6+16.7+4.7
FH volley to their backhand · rally+14.7±7.3+10.3+4.3
FH volley to the middle · rally+10.7±8.2+8.8+1.9
FH slice to their backhand · return+10.4±4.4+7.7+2.7
BH volley to the middle · rally+9.7±7.5+4.2+5.6
FH to their backhand · return +1+6.5±4.3+3.7+2.8

Avoid

ShotEdgeOwnTheirs
FH volley to their forehand · rally−6.7±7.2−1.0−5.7
FH slice to their forehand · rally−4.4±5.3−6.1+1.7
FH slice to the middle · rally−2.8±3.7−0.5−2.3
BH slice to the middle · rally−2.7±2.3+0.6−3.3
BH slice to their backhand · serve +1−2.3±3.9−0.2−2.1

Nick Kyrgios

Favour

ShotEdgeOwnTheirs
BH volley to their forehand · rally+16.9±7.4+6.4+10.5
BH volley to the middle · rally+11.0±7.6+9.1+1.9
BH slice to the middle · return+9.3±2.6+3.4+5.9
BH volley to the middle · serve +1+9.1±5.6+4.9+4.2
FH volley to their backhand · rally+7.4±7.4+0.8+6.6
FH volley to the middle · serve +1+6.8±5.1+3.4+3.4

Avoid

ShotEdgeOwnTheirs
FH volley to their forehand · rally−7.8±7.3+1.4−9.2
FH drop shot to their backhand · serve +1−7.2±6.9−5.5−1.7
BH slice to their backhand · rally−7.2±2.8−4.4−2.8
BH volley to their backhand · rally−6.9±7.0−1.0−6.0
FH to their forehand · return +1−6.9±4.4−1.4−5.5

Against Nick Kyrgios-like opponents

Rafael Nadal vMatchesServe pts wonReturn pts won
All charted opponents–66.0%40.1%
Players most similar to Nick Kyrgios4 70.8%37.2%
Nick Kyrgios (charted head-to-head)8 72.2%34.4%

Similar by tactical fingerprint: Arthur Rinderknech, Zhizhen Zhang, Nuno Borges, Zizou Bergs, Yannick Hanfmann, Mackenzie Mcdonald, Otto Virtanen, Borna Coric, Kevin Anderson, Martin Klizan. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head