RallyIQ

Game plan

Andrea Gaudenzi v Roberto Bautista Agut

Every number combines what Andrea Gaudenzi does well with what Roberto Bautista Agut 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.

Andrea Gaudenzi serving

Deuce court

1st serveNowAndrea winsv RobertoMatchupOptimal
Wide59%68%74%69.4%±8.472% ▲
Body18%65%60%61.5%±12.95% ▼
T24%75%76%75.7%±10.623%

Optimal v Roberto Bautista Agut: +1.0±0.9 per 100 first serves (faults included) over the current mix. Serving T every time would read +6.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAndrea winsv RobertoMatchupOptimal
Wide33%71%77%75.6%±9.046% ▲
Body24%65%53%55.6%±13.811% ▼
T43%67%72%67.3%±10.743%

Optimal v Roberto Bautista Agut: +1.3±1.0 per 100 first serves (faults included) over the current mix. Serving wide every time would read +8.4 per 100 first serves in before the returner adjusts.

Roberto Bautista Agut serving

Deuce court

1st serveNowRoberto winsv AndreaMatchupOptimal
Wide45%70%69%66.5%±10.151% ▲
Body9%64%57%57.1%±12.50% ▼
T47%72%67%64.3%±9.249% ▲

Optimal v Andrea Gaudenzi: +0.3±0.6 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRoberto winsv AndreaMatchupOptimal
Wide56%70%57%53.0%±9.051% ▼
Body9%61%66%64.0%±13.90% ▼
T36%72%80%80.0%±9.449% ▲

Optimal v Andrea Gaudenzi: +1.0±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +16.4 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.

Andrea Gaudenzi returning

1st serve to the forehand

ReturnNowTourOwnv RobertoValue
FH through the middle49%+4.3−0.9+2.6+6.0±2.3
FH crosscourt39%+5.5−1.6−1.2+2.7±3.4
FH down the line12%+1.7−0.6+4.3+5.4±3.0

Lean FH through the middle: +1.4±1.8 per 100 returns v the current mix (41 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv RobertoValue
BH through the middle49%+6.4−1.1+1.2+6.5±2.2
BH crosscourt24%+8.8−0.4+2.2+10.6±2.9
BH down the line17%+4.2+2.0+1.3+7.6±4.1
BH slice through the middle10%−4.2+0.6+3.1−0.5±1.9

Lean BH crosscourt: +3.6±2.5 per 100 returns v the current mix (111 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv RobertoValue
BH through the middle62%−2.9−0.3+2.3−0.9±2.1
BH crosscourt38%+1.0+1.3+0.2+2.5±2.6

Lean BH crosscourt: +2.1±2.1 per 100 returns v the current mix (73 returns charted, inside the 90% margin)

Roberto Bautista Agut returning

1st serve to the forehand

ReturnNowTourOwnv AndreaValue
FH through the middle47%+4.3+2.4+1.4+8.1±2.5
FH down the line19%+1.7+2.4+1.8+5.9±3.9
FH crosscourt15%+5.5+1.8−0.6+6.7±3.3
FH slice through the middle13%−4.2+0.4±0.0−3.8±1.4
FH slice crosscourt3%−4.3+0.3±0.0−4.1±2.0

Lean FH through the middle: +2.9±1.6 per 100 returns v the current mix (1224 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AndreaValue
BH through the middle42%+6.4+2.7−1.6+7.6±2.3
BH crosscourt20%+8.8+2.4−1.1+10.1±2.9
BH slice through the middle17%−4.2−0.1−1.0−5.4±1.9
BH down the line11%+4.2+4.9+1.5+10.6±4.1
BH slice crosscourt6%+0.5−1.2−0.3−0.9±2.7

Lean BH down the line: +5.6±3.8 per 100 returns v the current mix (1218 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AndreaValue
FH through the middle48%−3.5+0.4+0.3−2.8±2.6
FH crosscourt24%−0.2+0.7−0.1+0.4±3.7
FH down the line24%−1.8+0.9+1.7+0.8±4.4
FH slice through the middle4%−12.7±0.0±0.0−12.7±1.3

Lean FH down the line: +2.3±3.7 per 100 returns v the current mix (289 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AndreaValue
BH through the middle48%−2.9+0.6+0.2−2.0±1.5
BH crosscourt33%+1.0+1.7−0.1+2.6±2.4
BH down the line12%−0.2+0.8+1.5+2.1±3.8
FH through the middle3%−2.9−0.4+0.3−3.0±2.2
FH inside-out2%+1.0±0.0+1.7+2.6±3.3

Lean FH inside-out: +2.6±3.5 per 100 returns v the current mix (961 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.

Andrea Gaudenzi

Favour

ShotEdgeOwnTheirs
BH to their forehand · rally+4.4±3.3+2.0+2.4
FH to their backhand · rally+3.2±2.4+2.9+0.3
FH to their forehand · rally+1.8±2.8+1.0+0.8
BH to the middle · return+1.8±2.0−0.6+2.4
BH to the middle · rally+1.5±1.8+1.5±0.0
BH to their backhand · rally−0.6±2.2−1.6+0.9

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−0.6±2.2−1.6+0.9
BH to the middle · rally+1.5±1.8+1.5±0.0
BH to the middle · return+1.8±2.0−0.6+2.4
FH to their forehand · rally+1.8±2.8+1.0+0.8
FH to their backhand · rally+3.2±2.4+2.9+0.3

Roberto Bautista Agut

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+2.6±2.7+2.9−0.3
FH to their backhand · serve +1+2.0±3.0+0.9+1.1
BH to the middle · rally+2.0±1.8+1.4+0.5
FH to their backhand · rally−0.9±2.3±0.0−0.9
BH to their backhand · rally−1.0±2.3+0.9−1.9

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−1.0±2.3+0.9−1.9
FH to their backhand · rally−0.9±2.3±0.0−0.9
BH to the middle · rally+2.0±1.8+1.4+0.5
FH to their backhand · serve +1+2.0±3.0+0.9+1.1
FH to their forehand · rally+2.6±2.7+2.9−0.3

Against Roberto Bautista Agut-like opponents

Andrea Gaudenzi vMatchesServe pts wonReturn pts won
All charted opponents–64.4%42.8%

Similar by tactical fingerprint: Casper Ruud, Brandon Nakashima, Gael Monfils, Mariano Navone, Novak Djokovic, Karen Khachanov, Pablo Carreno Busta, Francisco Cerundolo, Roberto Carballes Baena, Bernabe Zapata Miralles. When two players have rarely met, their records against these lookalikes fill the gap.