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 serve | Now | Andrea wins | v Roberto | Matchup | Optimal |
|---|---|---|---|---|---|
| Wide | 59% | 68% | 74% | 69.4%±8.4 | 72% ▲ |
| Body | 18% | 65% | 60% | 61.5%±12.9 | 5% ▼ |
| T | 24% | 75% | 76% | 75.7%±10.6 | 23% |
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 serve | Now | Andrea wins | v Roberto | Matchup | Optimal |
|---|---|---|---|---|---|
| Wide | 33% | 71% | 77% | 75.6%±9.0 | 46% ▲ |
| Body | 24% | 65% | 53% | 55.6%±13.8 | 11% ▼ |
| T | 43% | 67% | 72% | 67.3%±10.7 | 43% |
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 serve | Now | Roberto wins | v Andrea | Matchup | Optimal |
|---|---|---|---|---|---|
| Wide | 45% | 70% | 69% | 66.5%±10.1 | 51% ▲ |
| Body | 9% | 64% | 57% | 57.1%±12.5 | 0% ▼ |
| T | 47% | 72% | 67% | 64.3%±9.2 | 49% ▲ |
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 serve | Now | Roberto wins | v Andrea | Matchup | Optimal |
|---|---|---|---|---|---|
| Wide | 56% | 70% | 57% | 53.0%±9.0 | 51% ▼ |
| Body | 9% | 61% | 66% | 64.0%±13.9 | 0% ▼ |
| T | 36% | 72% | 80% | 80.0%±9.4 | 49% ▲ |
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
| Return | Now | Tour | Own | v Roberto | Value |
|---|---|---|---|---|---|
| FH through the middle | 49% | +4.3 | −0.9 | +2.6 | +6.0±2.3 |
| FH crosscourt | 39% | +5.5 | −1.6 | −1.2 | +2.7±3.4 |
| FH down the line | 12% | +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
| Return | Now | Tour | Own | v Roberto | Value |
|---|---|---|---|---|---|
| BH through the middle | 49% | +6.4 | −1.1 | +1.2 | +6.5±2.2 |
| BH crosscourt | 24% | +8.8 | −0.4 | +2.2 | +10.6±2.9 |
| BH down the line | 17% | +4.2 | +2.0 | +1.3 | +7.6±4.1 |
| BH slice through the middle | 10% | −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
| Return | Now | Tour | Own | v Roberto | Value |
|---|---|---|---|---|---|
| BH through the middle | 62% | −2.9 | −0.3 | +2.3 | −0.9±2.1 |
| BH crosscourt | 38% | +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
| Return | Now | Tour | Own | v Andrea | Value |
|---|---|---|---|---|---|
| FH through the middle | 47% | +4.3 | +2.4 | +1.4 | +8.1±2.5 |
| FH down the line | 19% | +1.7 | +2.4 | +1.8 | +5.9±3.9 |
| FH crosscourt | 15% | +5.5 | +1.8 | −0.6 | +6.7±3.3 |
| FH slice through the middle | 13% | −4.2 | +0.4 | ±0.0 | −3.8±1.4 |
| FH slice crosscourt | 3% | −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
| Return | Now | Tour | Own | v Andrea | Value |
|---|---|---|---|---|---|
| BH through the middle | 42% | +6.4 | +2.7 | −1.6 | +7.6±2.3 |
| BH crosscourt | 20% | +8.8 | +2.4 | −1.1 | +10.1±2.9 |
| BH slice through the middle | 17% | −4.2 | −0.1 | −1.0 | −5.4±1.9 |
| BH down the line | 11% | +4.2 | +4.9 | +1.5 | +10.6±4.1 |
| BH slice crosscourt | 6% | +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
| Return | Now | Tour | Own | v Andrea | Value |
|---|---|---|---|---|---|
| FH through the middle | 48% | −3.5 | +0.4 | +0.3 | −2.8±2.6 |
| FH crosscourt | 24% | −0.2 | +0.7 | −0.1 | +0.4±3.7 |
| FH down the line | 24% | −1.8 | +0.9 | +1.7 | +0.8±4.4 |
| FH slice through the middle | 4% | −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
| Return | Now | Tour | Own | v Andrea | Value |
|---|---|---|---|---|---|
| BH through the middle | 48% | −2.9 | +0.6 | +0.2 | −2.0±1.5 |
| BH crosscourt | 33% | +1.0 | +1.7 | −0.1 | +2.6±2.4 |
| BH down the line | 12% | −0.2 | +0.8 | +1.5 | +2.1±3.8 |
| FH through the middle | 3% | −2.9 | −0.4 | +0.3 | −3.0±2.2 |
| FH inside-out | 2% | +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 on hard. Each player's hard record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.
Andrea Gaudenzi
Favour
| Shot | Edge | Own | Theirs |
|---|---|---|---|
| BH to their forehand · rally | +4.3±3.5 | +2.0 | +2.3 |
| FH to their backhand · rally | +2.9±2.5 | +2.9 | ±0.0 |
| BH to the middle · return | +2.8±2.1 | −0.6 | +3.5 |
| BH to the middle · rally | +1.7±1.8 | +1.5 | +0.2 |
| FH to their forehand · rally | +1.3±2.8 | +1.0 | +0.4 |
| BH to their backhand · rally | −0.7±2.2 | −1.6 | +0.9 |
Avoid
| Shot | Edge | Own | Theirs |
|---|---|---|---|
| BH to their backhand · rally | −0.7±2.2 | −1.6 | +0.9 |
| FH to their forehand · rally | +1.3±2.8 | +1.0 | +0.4 |
| BH to the middle · rally | +1.7±1.8 | +1.5 | +0.2 |
| BH to the middle · return | +2.8±2.1 | −0.6 | +3.5 |
| FH to their backhand · rally | +2.9±2.5 | +2.9 | ±0.0 |
Roberto Bautista Agut
Favour
| Shot | Edge | Own | Theirs |
|---|---|---|---|
| FH to their forehand · rally | +2.8±2.8 | +3.1 | −0.3 |
| FH to their backhand · serve +1 | +2.4±3.2 | +1.3 | +1.1 |
| BH to the middle · rally | +2.2±1.9 | +1.6 | +0.5 |
| BH to their backhand · rally | −0.6±2.3 | +1.2 | −1.9 |
| FH to their backhand · rally | −1.1±2.3 | −0.1 | −0.9 |
Avoid
| Shot | Edge | Own | Theirs |
|---|---|---|---|
| FH to their backhand · rally | −1.1±2.3 | −0.1 | −0.9 |
| BH to their backhand · rally | −0.6±2.3 | +1.2 | −1.9 |
| BH to the middle · rally | +2.2±1.9 | +1.6 | +0.5 |
| FH to their backhand · serve +1 | +2.4±3.2 | +1.3 | +1.1 |
| FH to their forehand · rally | +2.8±2.8 | +3.1 | −0.3 |
Against Roberto Bautista Agut-like opponents
| Andrea Gaudenzi v | Matches | Serve pts won | Return 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.