RallyIQ

Game plan

Mariano Zabaleta v Rafael Nadal

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

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.

Mariano Zabaleta serving

Deuce court

1st serveNowMariano winsv RafaelMatchupOptimal
Wide49%72%66%65.8%±10.349%
Body18%69%58%63.8%±12.05% ▼
T33%76%74%75.7%±10.246% ▲

Optimal v Rafael Nadal: +0.4±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMariano winsv RafaelMatchupOptimal
Wide38%63%71%61.4%±10.851% ▲
Body18%58%57%52.4%±12.55% ▼
T44%75%66%69.3%±11.144%

Optimal v Rafael Nadal: +0.7±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.1 per 100 first serves in before the returner adjusts.

Rafael Nadal serving

Deuce court

1st serveNowRafael winsv MarianoMatchupOptimal
Wide31%75%69%70.7%±10.044% ▲
Body18%64%59%60.5%±13.35% ▼
T51%69%78%73.3%±9.651%

Optimal v Mariano Zabaleta: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRafael winsv MarianoMatchupOptimal
Wide54%71%64%62.6%±8.554%
Body18%67%64%68.2%±12.95% ▼
T28%75%76%79.1%±9.741% ▲

Optimal v Mariano Zabaleta: +0.5±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +10.8 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.

Mariano Zabaleta returning

1st serve to the backhand

ReturnNowTourOwnv RafaelValue
BH through the middle67%+6.4−1.5+0.7+5.6±2.1
BH crosscourt17%+8.8−1.0+4.3+12.1±2.3
BH down the line10%+4.2−1.3−1.0+1.9±2.4
BH slice through the middle6%−4.2−0.1+1.9−2.4±1.2

Lean BH through the middle: −0.3±0.8 per 100 returns v the current mix (83 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv RafaelValue
BH through the middle48%−2.9+0.2+0.1−2.6±1.7
FH through the middle40%−2.9−0.4−0.4−3.7±1.6
FH inside-out12%+1.0+0.6+0.4+1.9±2.0

Lean BH through the middle: −0.1±1.1 per 100 returns v the current mix (42 returns charted, inside the 90% margin)

Rafael Nadal returning

1st serve to the forehand

ReturnNowTourOwnv MarianoValue
FH through the middle46%+4.3+0.4−1.0+3.7±2.2
FH crosscourt31%+5.5+2.4+0.3+8.3±2.9
FH down the line16%+1.7−0.8±0.0+0.9±1.4
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: +3.9±2.3 per 100 returns v the current mix (5711 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MarianoValue
BH through the middle38%+6.4−0.2−2.9+3.3±2.0
BH crosscourt19%+8.8−1.2−0.4+7.2±2.4
BH slice through the middle17%−4.2+2.1−0.6−2.7±1.5
BH down the line15%+4.2+3.3−1.4+6.2±2.9
BH slice down the line7%−8.4+5.7±0.0−2.7±1.3
FH inside-in0%+8.0+2.3+0.3+10.7±3.8

Lean FH inside-in: +7.8±3.9 per 100 returns v the current mix (9039 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MarianoValue
FH crosscourt48%−0.2+0.7+1.4+1.8±3.0
FH through the middle33%−3.5−2.6±0.0−6.1±2.1
FH down the line17%−1.8+3.8−1.0+1.1±3.2
BH inside-out1%+0.9+0.3−1.6−0.4±4.0
FH slice through the middle1%−12.7−0.2±0.0−12.8±1.3

Lean FH crosscourt: +2.9±1.8 per 100 returns v the current mix (2037 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MarianoValue
BH through the middle35%−2.9+2.0±0.0−0.9±1.8
BH crosscourt28%+1.0−1.0−0.9−0.9±2.1
BH down the line17%−0.2+1.8−1.6±0.0±3.8
FH through the middle9%−2.9+1.2±0.0−1.7±1.8
FH inside-in8%+0.6+1.5+1.4+3.4±3.3

Lean FH inside-in: +4.0±3.2 per 100 returns v the current mix (5854 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.

Mariano Zabaleta

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+2.5±2.7+1.1+1.4
BH to the middle · return+2.3±2.0+0.2+2.0
FH to their forehand · rally−4.1±2.9−2.7−1.4
BH to their forehand · rally−4.2±3.1−5.0+0.8
BH to their backhand · rally−5.7±2.2−4.8−0.9

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−5.7±2.2−4.8−0.9
BH to their forehand · rally−4.2±3.1−5.0+0.8
FH to their forehand · rally−4.1±2.9−2.7−1.4
BH to the middle · return+2.3±2.0+0.2+2.0
FH to their backhand · rally+2.5±2.7+1.1+1.4

Rafael Nadal

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+2.7±2.5+2.7−0.1
BH to their backhand · rally−0.2±2.2+1.2−1.4

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−0.2±2.2+1.2−1.4
FH to their backhand · rally+2.7±2.5+2.7−0.1

Against Rafael Nadal-like opponents

Mariano Zabaleta vMatchesServe pts wonReturn pts won
All charted opponents–56.2%37.9%

Similar by tactical fingerprint: Cameron Norrie, Lorenzo Musetti, Mariano Navone, Yoshihito Nishioka, Albert Ramos, Federico Delbonis, Fernando Verdasco, Juan Martin Del Potro, Nikolay Davydenko, Juan Carlos Ferrero. When two players have rarely met, their records against these lookalikes fill the gap.