RallyIQ

Game plan

Rafael Nadal v Alexander Zverev

Every number combines what Rafael Nadal does well with what Alexander Zverev 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 60%90%: 38%–79% · best of 5: 62%
Serve points won 63.7% / 61.7% Rafael / Alexander · tour 63.4%
Strengths only, no similarity priors 69%serve 66.2% / 62.1%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Alexander Zverev's tactical lookalikes and in their charted head-to-heads (lookalikes: −1.8 on serve, +0.6 on return vs expectation (11268 points); head-to-head: −3.9 on serve, ±0.0 on return vs expectation (1114 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

CareerRafaelAlexander
Direction choice+0.02 ±0.03
better than 62%
+0.04 ±0.04
better than 68%
Shot selection+0.38 ±0.05
better than 85%
+0.09 ±0.06
better than 64%
Execution+1.32 ±0.10
better than 99%
+0.83 ±0.20
better than 92%
Points left on the table2.66 ±0.04
lower than 43%
2.45 ±0.06
lower than 67%

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 +2.10, Alexander Zverev +0.30. 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 AlexanderMatchupOptimal
Wide31%75%74%75.2%±1.844% ▲
Body18%64%60%61.2%±3.85% ▼
T51%69%74%68.1%±2.051%

Optimal v Alexander Zverev: +1.1±0.4 per 100 first serves (faults included) over the current mix. Serving wide every time would read +6.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRafael winsv AlexanderMatchupOptimal
Wide54%71%74%73.1%±1.854%
Body18%67%65%68.4%±3.85% ▼
T28%75%71%73.7%±2.041% ▲

Optimal v Alexander Zverev: +0.2±0.4 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.3 per 100 first serves in before the returner adjusts.

Alexander Zverev serving

Deuce court

1st serveNowAlexander winsv RafaelMatchupOptimal
Wide46%74%66%68.0%±1.839% ▼
Body6%62%58%56.3%±4.70% ▼
T48%77%74%75.9%±1.761% ▲

Optimal v Rafael Nadal: +0.6±0.3 per 100 first serves (faults included) over the current mix. Serving T every time would read +4.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAlexander winsv RafaelMatchupOptimal
Wide44%75%71%74.2%±1.957% ▲
Body8%64%57%58.6%±4.50% ▼
T48%73%66%67.2%±1.943% ▼

Optimal v Rafael Nadal: +0.5±0.3 per 100 first serves (faults included) over the current mix. Serving wide every time would read +4.5 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 AlexanderValue
FH through the middle46%+4.3+0.4−0.5+4.2±0.9
FH crosscourt31%+5.5+2.4−1.8+6.1±1.8
FH down the line16%+1.7−0.8+1.2+2.0±2.2
FH slice through the middle3%−4.2+0.1−1.5−5.6±1.7
FH slice crosscourt2%−4.3+7.5−0.5+2.6±2.6
BH through the middle0%+6.6+0.4+0.3+7.2±2.0

Lean BH through the middle: +3.2±2.1 per 100 returns v the current mix (5711 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AlexanderValue
BH through the middle38%+6.4−0.2+0.3+6.5±0.8
BH crosscourt19%+8.8−1.2−2.4+5.2±1.8
BH slice through the middle17%−4.2+2.1−2.4−4.5±1.1
BH down the line15%+4.2+3.3−0.6+7.0±1.9
BH slice down the line7%−8.4+5.7−4.7−7.4±2.2
FH through the middle1%+7.7+2.5−0.5+9.8±1.9

Lean FH through the middle: +6.8±2.0 per 100 returns v the current mix (9039 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AlexanderValue
FH crosscourt48%−0.2+0.7−4.1−3.7±2.4
FH through the middle33%−3.5−2.6−0.2−6.3±1.4
FH down the line17%−1.8+3.8−2.2−0.1±3.4
BH inside-out1%+0.9+0.3−1.3−0.2±3.0
FH slice through the middle1%−12.7−0.2+1.5−11.3±2.1

Lean FH down the line: +3.9±3.1 per 100 returns v the current mix (2037 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AlexanderValue
BH through the middle35%−2.9+2.0+0.6−0.3±0.9
BH crosscourt28%+1.0−1.0−0.7−0.7±1.9
BH down the line17%−0.2+1.8−1.3+0.2±2.3
FH through the middle9%−2.9+1.2−0.2−1.8±1.3
FH inside-in8%+0.6+1.5−4.1−2.0±2.7

Lean BH down the line: +0.9±2.0 per 100 returns v the current mix (5854 returns charted, inside the 90% margin)

Alexander Zverev returning

1st serve to the forehand

ReturnNowTourOwnv RafaelValue
FH through the middle55%+4.3−1.3−0.9+2.1±0.8
FH crosscourt28%+5.5−0.9+1.7+6.3±1.6
FH down the line12%+1.7−2.8+0.1−1.0±2.4
FH slice through the middle3%−4.2+0.2±0.0−4.1±1.8
FH slice crosscourt1%−4.3−0.2+1.5−3.1±2.5

Lean FH crosscourt: +3.7±1.3 per 100 returns v the current mix (4008 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RafaelValue
BH through the middle45%+6.4+1.7+0.7+8.8±0.8
BH crosscourt27%+8.8+1.9+4.3+15.0±1.4
BH slice through the middle10%−4.2−4.8+1.9−7.1±1.4
BH down the line10%+4.2+1.7−1.0+4.9±2.4
BH slice crosscourt5%+0.5−5.6+3.6−1.5±2.2

Lean BH crosscourt: +7.8±1.1 per 100 returns v the current mix (3276 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RafaelValue
FH through the middle51%−3.5+0.2−0.4−3.7±1.2
FH crosscourt34%−0.2+0.9−0.7±0.0±2.3
FH down the line11%−1.8−0.9+0.4−2.3±3.3
BH through the middle2%+0.1+0.4+0.1+0.6±1.5
BH inside-in1%+2.5−0.5−0.2+1.8±2.5

Lean BH inside-in: +3.9±2.7 per 100 returns v the current mix (1307 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv RafaelValue
BH crosscourt49%+1.0+1.3−0.2+2.2±1.3
BH through the middle40%−2.9+1.0+0.1−1.8±1.0
BH down the line8%−0.2+1.4−1.3−0.2±3.4
FH through the middle1%−2.9+1.0−0.4−2.3±1.7
FH inside-in1%+0.6−3.7−0.7−3.8±3.0

Lean BH crosscourt: +2.0±0.8 per 100 returns v the current mix (2035 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.

Rafael Nadal

Favour

ShotEdgeOwnTheirs
BH volley to their forehand · rally+16.0±4.2+11.2+4.8
FH volley to their backhand · rally+10.6±4.1+9.1+1.5
FH drop shot to their backhand · rally+9.8±4.4+7.1+2.7
BH volley to their backhand · rally+7.8±4.0+2.3+5.6
FH volley to their backhand · serve +1+6.9±5.1+5.5+1.4
BH to their forehand · return +1+6.1±2.2+3.6+2.5

Avoid

ShotEdgeOwnTheirs
BH slice to their backhand · return−4.9±1.7−0.6−4.3
FH slice to their forehand · rally−3.0±3.0−4.6+1.5
BH slice to their forehand · return−2.0±2.8+3.3−5.4
FH lob to the middle · rally−1.9±3.8−0.7−1.2
FH slice to the middle · rally−1.9±1.8−0.9−1.0

Alexander Zverev

Favour

ShotEdgeOwnTheirs
FH volley to their backhand · serve +1+7.1±4.5+1.4+5.6
BH volley to their forehand · rally+5.4±3.5−1.7+7.1
BH to their forehand · return+5.4±1.8+2.3+3.1
BH drop shot to their backhand · rally+5.4±3.9+5.6−0.3
Smash to their backhand · rally+4.6±3.7+3.8+0.8
Smash to the middle · rally+4.4±4.6+2.5+1.9

Avoid

ShotEdgeOwnTheirs
FH volley to their forehand · rally−10.9±3.4−3.9−7.0
BH slice to their backhand · return−7.4±2.1−5.0−2.3
BH volley to their backhand · rally−6.5±3.7−1.3−5.2
BH slice to their backhand · serve +1−6.1±2.6−4.6−1.4
BH slice to their backhand · rally−4.4±1.1−0.7−3.8

Against Alexander Zverev-like opponents

Rafael Nadal vMatchesServe pts wonReturn pts won
All charted opponents–66.0%40.1%
Players most similar to Alexander Zverev67 61.0%38.2%
Alexander Zverev (charted head-to-head)7 62.3%37.9%

Similar by tactical fingerprint: Learner Tien, Daniil Medvedev, Novak Djokovic, Karen Khachanov, Alexandre Muller, Borna Coric, Taro Daniel, Emil Ruusuvuori, Denis Istomin, Nikolay Davydenko. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head