RallyIQ

Game plan

Rafael Nadal v Pat Cash

Every number combines what Rafael Nadal does well with what Pat Cash 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%: 51%–82% · best of 5: 72%
Serve points won 68.2% / 64.4% Rafael / Pat · tour 65.7%
Strengths only, no similarity priors 70%serve 67.9% / 63.7%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Pat Cash's tactical lookalikes and in their charted head-to-heads (lookalikes: +2.2 on serve, −5.2 on return vs expectation (414 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

CareerRafaelPat
Direction choice+0.02 ±0.03
better than 62%
−0.41 ±0.30
better than 2%
Shot selection+0.38 ±0.05
better than 85%
+0.94 ±0.13
better than 99%
Execution+1.32 ±0.10
better than 99%
−0.59 ±0.82
better than 42%
Points left on the table2.66 ±0.04
lower than 43%
5.43 ±0.66
lower than 0%

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 PatMatchupOptimal
Wide31%75%72%73.9%±4.244% ▲
Body18%64%57%58.1%±7.55% ▼
T51%69%75%69.6%±5.151%

Optimal v Pat Cash: +0.9±0.7 per 100 first serves (faults included) over the current mix. Serving wide every time would read +5.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRafael winsv PatMatchupOptimal
Wide54%71%69%67.2%±4.341% ▼
Body18%67%73%76.6%±6.631% ▲
T28%75%75%77.8%±5.028%

Optimal v Pat Cash: +0.2±0.6 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.9 per 100 first serves in before the returner adjusts.

Pat Cash serving

Deuce court

1st serveNowPat winsv RafaelMatchupOptimal
Wide43%76%66%69.7%±5.056% ▲
Body19%59%58%53.7%±7.16% ▼
T39%77%74%75.8%±4.938%

Optimal v Rafael Nadal: +1.1±0.7 per 100 first serves (faults included) over the current mix. Serving T every time would read +6.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowPat winsv RafaelMatchupOptimal
Wide50%76%71%74.6%±4.650%
Body20%61%57%55.0%±7.17% ▼
T30%77%66%71.3%±5.943% ▲

Optimal v Rafael Nadal: +1.0±0.7 per 100 first serves (faults included) over the current mix. Serving wide every time would read +4.9 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 PatValue
FH through the middle46%+4.3+0.4−1.0+3.6±1.9
FH crosscourt31%+5.5+2.4−0.3+7.6±3.0
FH down the line16%+1.7−0.8−1.2−0.4±3.4
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: +3.7±2.3 per 100 returns v the current mix (5711 returns charted)

1st serve to the backhand

ReturnNowTourOwnv PatValue
BH through the middle38%+6.4−0.2−3.4+2.8±1.7
BH crosscourt19%+8.8−1.2−4.0+3.7±2.6
BH slice through the middle17%−4.2+2.1+0.7−1.4±1.9
BH down the line15%+4.2+3.3−0.8+6.8±3.3
BH slice down the line7%−8.4+5.7−2.8−5.6±2.8
FH inside-in0%+8.0+2.3−0.3+10.0±3.9

Lean FH inside-in: +7.8±4.0 per 100 returns v the current mix (9039 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv PatValue
FH crosscourt48%−0.2+0.7+3.0+3.5±3.4
FH through the middle33%−3.5−2.6−0.6−6.7±2.2
FH down the line17%−1.8+3.8+2.6+4.7±3.9
BH inside-out1%+0.9+0.3+2.5+3.7±4.0
FH slice through the middle1%−12.7−0.2±0.0−12.8±1.3

Lean FH down the line: +4.6±3.7 per 100 returns v the current mix (2037 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv PatValue
BH through the middle35%−2.9+2.0−0.1−1.0±1.7
BH crosscourt28%+1.0−1.0+2.4+2.4±2.4
BH down the line17%−0.2+1.8+2.5+4.1±3.8
FH through the middle9%−2.9+1.2−0.6−2.3±1.9
FH inside-in8%+0.6+1.5+3.0+5.1±3.6

Lean FH inside-in: +3.9±3.5 per 100 returns v the current mix (5854 returns charted)

Pat Cash returning

1st serve to the forehand

ReturnNowTourOwnv RafaelValue
FH through the middle56%+4.3+1.4−0.9+4.7±1.8
FH down the line27%+1.7−0.6+0.1+1.2±3.3
FH crosscourt18%+5.5−1.7+1.7+5.5±3.3

Lean FH crosscourt: +1.6±3.0 per 100 returns v the current mix (389 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv RafaelValue
BH through the middle39%+6.4+0.8+0.7+7.9±1.7
BH down the line18%+4.2+2.7−1.0+5.9±3.3
BH crosscourt16%+8.8−2.0+4.3+11.0±2.6
BH slice through the middle13%−4.2+1.7+1.9−0.6±1.9
BH slice crosscourt9%+0.5+3.2+3.6+7.4±2.5

Lean BH crosscourt: +4.8±2.4 per 100 returns v the current mix (476 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RafaelValue
FH through the middle45%−3.5−0.6−0.4−4.6±2.1
FH down the line30%−1.8+2.7+0.4+1.3±3.6
FH crosscourt25%−0.2+8.2−0.7+7.3±3.2

Lean FH crosscourt: +7.1±2.8 per 100 returns v the current mix (91 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv RafaelValue
BH through the middle42%−2.9+1.3+0.1−1.5±1.8
BH down the line22%−0.2+4.3−1.3+2.8±3.9
BH crosscourt19%+1.0+3.7−0.2+4.5±2.5
BH slice crosscourt9%−4.0−1.2−2.6−7.8±2.5
BH slice through the middle5%−11.3+0.4−0.9−11.8±2.1

Lean BH crosscourt: +5.3±2.3 per 100 returns v the current mix (264 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+11.2±8.2+16.7−5.5
BH to their forehand · return +1+10.6±6.0+6.1+4.5
BH volley to their forehand · serve +1+9.3±7.5+9.4±0.0
FH volley to their backhand · serve +1+8.4±5.6+5.5+2.8
BH slice to their forehand · return+6.2±5.1+4.7+1.6
FH to their backhand · rally+5.2±4.0+2.3+2.8

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−3.9±4.2±0.0−3.9
BH to the middle · rally−3.7±2.9+1.8−5.5
BH to their backhand · return +1−2.5±4.9+0.3−2.8
BH volley to their backhand · serve +1−1.8±6.3−3.3+1.5
BH to their forehand · rally−1.4±5.1+1.0−2.4

Pat Cash

Favour

ShotEdgeOwnTheirs
FH volley to their backhand · serve +1+9.9±5.9+4.4+5.5
FH volley to their backhand · rally+9.3±7.7+2.7+6.6
BH to their backhand · return+8.1±3.5+5.4+2.7
BH volley to their forehand · rally+7.9±7.7−2.6+10.5
FH volley to the middle · serve +1+7.7±5.6+4.3+3.4
BH to their forehand · return+7.1±4.9+4.7+2.4

Avoid

ShotEdgeOwnTheirs
FH volley to their forehand · rally−13.7±7.5−4.4−9.2
FH to their forehand · return +1−12.5±5.4−7.0−5.5
BH volley to their backhand · rally−11.4±7.5−5.4−6.0
BH to their backhand · return +1−10.5±4.8−7.5−2.9
BH to the middle · return +1−7.6±3.4−8.9+1.2

Against Pat Cash-like opponents

Rafael Nadal vMatchesServe pts wonReturn pts won
All charted opponents–66.0%40.1%
Players most similar to Pat Cash3 69.8%39.6%

Similar by tactical fingerprint: Mischa Zverev, Radek Stepanek, Stefan Edberg, Jonas Bjorkman, Max Mirnyi, Todd Martin, Boris Becker, Michael Stich, David Wheaton, John Mcenroe. When two players have rarely met, their records against these lookalikes fill the gap.