RallyIQ

Game plan

David Ferrer v Carlos Berlocq

Every number combines what David Ferrer does well with what Carlos Berlocq allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

David Ferrer wins, best of 3 77%90%: 40%–96% · best of 5: 82%
Serve points won 59.9% / 54.2% David / Carlos · tour 63.8%
Strengths only, no similarity priors 84%serve 61.2% / 53.7%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 David Ferrer's record against Carlos Berlocq's tactical lookalikes and in their charted head-to-heads (lookalikes: −3.9 on serve, −1.8 on return vs expectation (1461 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

CareerDavidCarlos
Direction choice−0.03 ±0.06
better than 48%
−0.20 ±0.17
better than 14%
Shot selection+0.44 ±0.08
better than 89%
−0.21 ±0.26
better than 29%
Execution+0.21 ±0.29
better than 76%
+0.88 ±0.90
better than 94%
Points left on the table2.21 ±0.08
lower than 92%
2.77 ±0.21
lower than 34%

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.

David Ferrer serving

Deuce court

1st serveNowDavid winsv CarlosMatchupOptimal
Wide44%67%72%65.9%±7.957% ▲
Body20%61%57%54.4%±11.57% ▼
T36%67%70%61.9%±8.536%

Optimal v Carlos Berlocq: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowDavid winsv CarlosMatchupOptimal
Wide38%67%69%63.4%±7.651% ▲
Body17%57%61%55.2%±12.718%
T44%63%69%59.2%±10.331% ▼

Optimal v Carlos Berlocq: +0.5±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.3 per 100 first serves in before the returner adjusts.

Carlos Berlocq serving

Deuce court

1st serveNowCarlos winsv DavidMatchupOptimal
Wide47%68%74%68.7%±7.247%
Body24%57%60%53.4%±10.910% ▼
T29%76%73%74.3%±8.243% ▲

Optimal v David Ferrer: +1.2±0.9 per 100 first serves (faults included) over the current mix. Serving T every time would read +7.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowCarlos winsv DavidMatchupOptimal
Wide46%70%71%68.3%±7.847%
Body13%65%62%63.6%±11.50% ▼
T40%67%74%69.8%±8.053% ▲

Optimal v David Ferrer: +0.7±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.5 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.

David Ferrer returning

1st serve to the forehand

ReturnNowTourOwnv CarlosValue
FH through the middle45%+4.3−0.9+1.6+4.9±2.5
FH crosscourt19%+5.5−0.8+1.0+5.8±3.3
FH down the line19%+1.7−0.6+1.8+2.9±3.9
FH slice through the middle10%−4.2−0.6+0.5−4.3±1.8
FH slice down the line5%−4.3+0.5−0.2−3.9±2.8

Lean FH crosscourt: +2.5±3.0 per 100 returns v the current mix (1210 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv CarlosValue
BH through the middle44%+6.4−0.5+1.1+7.0±2.2
BH crosscourt28%+8.8+3.1+0.6+12.6±3.0
BH slice through the middle10%−4.2−0.3−0.1−4.6±2.3
BH down the line10%+4.2+2.6−0.9+5.8±4.1
BH slice down the line4%−8.4−3.6±0.0−12.0±2.5

Lean BH crosscourt: +6.2±2.5 per 100 returns v the current mix (1260 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv CarlosValue
FH through the middle40%−3.5+1.5+1.9±0.0±2.8
FH down the line35%−1.8+3.0+2.3+3.6±4.4
FH crosscourt19%−0.2−0.2+0.8+0.4±4.2
FH slice through the middle2%−12.7−1.0±0.0−13.7±1.1
BH through the middle2%+0.1+0.1+1.0+1.3±1.8

Lean FH down the line: +2.7±3.1 per 100 returns v the current mix (339 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv CarlosValue
BH crosscourt54%+1.0+0.4−2.2−0.7±2.6
BH through the middle33%−2.9−0.1+1.0−2.0±2.2
BH down the line4%−0.2+1.9−0.2+1.5±4.5
FH through the middle4%−2.9+0.4+1.9−0.6±2.4
FH inside-out3%+1.0+2.4+2.3+5.7±3.5

Lean FH inside-out: +6.4±3.8 per 100 returns v the current mix (945 returns charted)

Carlos Berlocq returning

1st serve to the forehand

ReturnNowTourOwnv DavidValue
FH through the middle57%+4.3+2.7+1.4+8.4±2.4
FH crosscourt27%+5.5+1.7−0.6+6.5±3.9
FH down the line16%+1.7+2.4+4.2+8.3±3.5

Lean FH through the middle: +0.5±1.6 per 100 returns v the current mix (108 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv DavidValue
BH through the middle35%+6.4+0.6+1.1+8.0±2.3
BH slice through the middle28%−4.2+1.9+1.5−0.8±2.2
BH slice crosscourt13%+0.5+1.4+2.6+4.5±2.6
BH crosscourt12%+8.8+2.5+1.4+12.7±2.8
BH down the line9%+4.2+1.5+1.1+6.8±3.8

Lean BH crosscourt: +7.7±2.7 per 100 returns v the current mix (167 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv DavidValue
BH through the middle48%−2.9+1.1±0.0−1.8±2.1
BH crosscourt31%+1.0+0.8+1.4+3.2±2.7
BH down the line12%−0.2−1.5−0.1−1.8±4.0
FH through the middle6%−2.9+0.1+1.1−1.7±1.7
FH inside-out4%+1.0+0.6+1.0+2.6±2.6

Lean BH crosscourt: +3.3±2.2 per 100 returns v the current mix (130 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 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.

David Ferrer

Favour

ShotEdgeOwnTheirs
FH to their forehand · return +1+4.5±4.5+1.7+2.8
FH to their backhand · rally+4.1±3.2+0.8+3.3
BH to their backhand · rally+3.2±2.8+1.0+2.2
BH to their forehand · rally+2.9±3.7+0.1+2.7
FH to their forehand · serve +1+2.8±4.2−0.4+3.1
FH to the middle · return+2.4±3.1−0.1+2.5

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−3.1±3.6−1.9−1.2
FH to their backhand · return +1−2.0±3.6−0.8−1.2
BH to their backhand · return+0.2±3.4+0.5−0.3
FH to the middle · rally+0.3±1.9+1.4−1.2
BH to the middle · rally+0.9±1.7+0.2+0.6

Carlos Berlocq

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+9.0±3.6+4.3+4.7
FH to the middle · return+5.2±3.0+2.5+2.7
BH slice to their backhand · rally+4.5±2.8+2.3+2.2
BH to their backhand · return+3.7±2.8+1.2+2.5
FH to their backhand · rally+3.6±3.3+1.6+2.0
BH to the middle · return+2.0±2.0+1.3+0.8

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−1.5±4.5−3.0+1.4
FH to their backhand · serve +1−0.3±4.0−0.9+0.6
FH to their forehand · rally+0.1±3.7±0.0+0.1
FH to the middle · rally+1.0±2.5−0.1+1.1
BH to the middle · rally+1.1±1.6+1.5−0.4

Against Carlos Berlocq-like opponents

David Ferrer vMatchesServe pts wonReturn pts won
All charted opponents–58.3%36.7%
Players most similar to Carlos Berlocq10 53.1%32.2%

Similar by tactical fingerprint: Tomas Martin Etcheverry, Novak Djokovic, Jaume Munar, Pablo Carreno Busta, Miomir Kecmanovic, Diego Schwartzman, Pablo Andujar, Ilya Ivashka, Guillermo Coria. When two players have rarely met, their records against these lookalikes fill the gap.