RallyIQ

Game plan

Rafael Nadal v Pablo Andujar

Every number combines what Rafael Nadal does well with what Pablo Andujar 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 98%90%: 93%–100% · best of 5: 100%
Serve points won 64.6% / 48.9% Rafael / Pablo · tour 61.3%
Strengths only, no similarity priors 99%serve 65.9% / 48.7%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Pablo Andujar's tactical lookalikes and in their charted head-to-heads (lookalikes: −1.3 on serve, +0.6 on return vs expectation (10186 points); head-to-head: −2.4 on serve, −6.7 on return vs expectation (308 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

CareerRafaelPablo
Direction choice+0.02 ±0.03
better than 62%
−0.07 ±0.20
better than 38%
Shot selection+0.38 ±0.05
better than 85%
+0.34 ±0.19
better than 83%
Execution+1.32 ±0.10
better than 99%
+0.04 ±0.76
better than 71%
Points left on the table2.66 ±0.04
lower than 43%
2.62 ±0.32
lower than 48%

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.

Rafael Nadal serving

Deuce court

1st serveNowRafael winsv PabloMatchupOptimal
Wide31%75%72%73.5%±5.844% ▲
Body18%64%63%63.9%±8.95% ▼
T51%69%71%65.0%±6.751%

Optimal v Pablo Andujar: +0.8±0.8 per 100 first serves (faults included) over the current mix. Serving wide every time would read +6.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRafael winsv PabloMatchupOptimal
Wide54%71%73%71.3%±5.854%
Body18%67%62%66.0%±9.95% ▼
T28%75%74%76.7%±6.041% ▲

Optimal v Pablo Andujar: +0.5±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.8 per 100 first serves in before the returner adjusts.

Pablo Andujar serving

Deuce court

1st serveNowPablo winsv RafaelMatchupOptimal
Wide42%68%66%61.1%±6.555% ▲
Body16%53%58%47.9%±9.03% ▼
T42%64%74%63.3%±6.742%

Optimal v Rafael Nadal: +0.9±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowPablo winsv RafaelMatchupOptimal
Wide46%64%71%62.4%±6.259% ▲
Body23%64%57%58.5%±8.510% ▼
T31%57%66%50.7%±7.631%

Optimal v Rafael Nadal: +0.3±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. 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 PabloValue
FH through the middle46%+4.3+0.4+0.3+5.0±2.1
FH crosscourt31%+5.5+2.4+2.5+10.4±3.3
FH down the line16%+1.7−0.8+7.6+8.5±3.5
FH slice through the middle3%−4.2+0.1±0.0−4.1±1.4
FH slice crosscourt2%−4.3+7.5±0.0+3.1±1.9

Lean FH crosscourt: +3.6±2.5 per 100 returns v the current mix (5711 returns charted)

1st serve to the backhand

ReturnNowTourOwnv PabloValue
BH through the middle38%+6.4−0.2−0.2+6.0±1.8
BH crosscourt19%+8.8−1.2+2.7+10.4±2.6
BH slice through the middle17%−4.2+2.1±0.0−2.1±0.6
BH down the line15%+4.2+3.3±0.0+7.6±3.4
BH slice down the line7%−8.4+5.7+0.6−2.2±2.3
FH inside-out0%+8.6−2.2+7.6+14.1±3.5

Lean FH inside-out: +9.2±3.6 per 100 returns v the current mix (9039 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv PabloValue
FH crosscourt48%−0.2+0.7+1.0+1.5±3.3
FH through the middle33%−3.5−2.6+2.4−3.7±2.3
FH down the line17%−1.8+3.8+1.5+3.6±4.0
BH inside-out1%+0.9+0.3+1.1+2.2±4.1
FH slice through the middle1%−12.7−0.2±0.0−12.8±1.3

Lean FH down the line: +3.6±3.8 per 100 returns v the current mix (2037 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv PabloValue
BH through the middle35%−2.9+2.0+0.9±0.0±1.9
BH crosscourt28%+1.0−1.0+3.0+3.0±1.9
BH down the line17%−0.2+1.8+1.1+2.6±3.8
FH through the middle9%−2.9+1.2+2.4+0.8±2.0
FH inside-in8%+0.6+1.5+1.0+3.1±3.6

Lean FH inside-in: +1.5±3.5 per 100 returns v the current mix (5854 returns charted, inside the 90% margin)

Pablo Andujar returning

1st serve to the forehand

ReturnNowTourOwnv RafaelValue
FH through the middle59%+4.3+1.4−0.9+4.8±2.1
FH crosscourt26%+5.5−0.7+1.7+6.6±3.3
FH down the line15%+1.7+2.8+0.1+4.6±3.3

Lean FH crosscourt: +1.3±2.8 per 100 returns v the current mix (168 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv RafaelValue
BH through the middle47%+6.4+1.4+0.7+8.5±2.0
BH crosscourt32%+8.8+1.5+4.3+14.6±2.7
BH slice through the middle9%−4.2−0.4+1.9−2.7±1.7
BH down the line9%+4.2−0.8−1.0+2.4±2.9
BH slice crosscourt3%+0.5−0.3+3.6+3.8±1.9

Lean BH crosscourt: +5.9±2.1 per 100 returns v the current mix (174 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RafaelValue
FH through the middle46%−3.5+0.8−0.4−3.1±2.0
FH crosscourt40%−0.2−0.2−0.7−1.1±3.1
FH down the line14%−1.8+0.5+0.4−0.9±2.7

Lean FH crosscourt: +0.9±2.1 per 100 returns v the current mix (50 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv RafaelValue
BH crosscourt37%+1.0−0.2−0.2+0.6±2.5
BH through the middle37%−2.9+1.1+0.1−1.6±1.9
BH down the line12%−0.2+0.5−1.3−1.0±3.4
FH inside-in7%+0.6−3.2−0.7−3.4±2.6
FH inside-out6%+1.0+0.8+0.4+2.2±2.2

Lean BH crosscourt: +1.2±1.8 per 100 returns v the current mix (131 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 clay. Each player's clay record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Rafael Nadal

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+7.1±2.5+2.6+4.6
FH to their backhand · return+6.6±4.1+3.1+3.4
FH to their forehand · return +1+5.3±4.4+2.0+3.2
FH to their forehand · return+4.7±4.7−1.1+5.7
FH to their forehand · serve +1+3.9±3.7+2.9+1.1
BH to their backhand · serve +1+3.9±3.7+2.0+2.0

Avoid

ShotEdgeOwnTheirs
BH slice to their backhand · rally−2.2±2.8−1.0−1.2
FH to their backhand · return +1−0.3±4.1+2.5−2.8
FH to the middle · serve +1+0.6±2.8+1.0−0.4
FH to the middle · return+1.5±2.3+1.1+0.4
FH to the middle · rally+1.7±2.3−0.1+1.8

Pablo Andujar

Favour

ShotEdgeOwnTheirs
BH to the middle · return+4.4±2.2+2.1+2.2
FH to the middle · rally+4.2±2.2+4.5−0.3
BH to the middle · serve +1+2.4±2.8+1.6+0.9
BH to the middle · rally+2.1±1.9+2.2−0.1
BH to their backhand · serve +1+1.9±3.2+2.4−0.5
FH to their backhand · serve +1+1.6±3.1+0.5+1.1

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−3.6±2.8−1.8−1.8
FH to their forehand · return +1−2.4±4.3+0.8−3.2
FH to their forehand · return−1.7±4.7−3.3+1.6
BH to their backhand · return +1−1.2±3.3+1.4−2.6
FH to their backhand · rally−0.5±2.4−2.0+1.5

Against Pablo Andujar-like opponents

Rafael Nadal vMatchesServe pts wonReturn pts won
All charted opponents–66.0%40.1%
Players most similar to Pablo Andujar61 61.6%38.1%
Pablo Andujar (charted head-to-head)2 65.3%39.4%

Similar by tactical fingerprint: Valentin Vacherot, Novak Djokovic, Karen Khachanov, Roberto Bautista Agut, Pedro Martinez, Alex Michelsen, Francisco Cerundolo, Kei Nishikori, Bernabe Zapata Miralles, Mikhail Kukushkin. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head