RallyIQ

Game plan

Robin Haase v Roberto Carballes Baena

Every number combines what Robin Haase does well with what Roberto Carballes Baena allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Robin Haase wins, best of 3 46%90%: 21%–73% · best of 5: 45%
Serve points won 63.0% / 63.7% Robin / Roberto · tour 63.4%
Strengths only, no similarity priors 49%serve 63.1% / 63.3%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Robin Haase's record against Roberto Carballes Baena's tactical lookalikes and in their charted head-to-heads (lookalikes: −0.8 on serve, −3.3 on return vs expectation (474 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

CareerRobinRoberto
Direction choice−0.13 ±0.05
better than 23%
−0.06 ±0.09
better than 41%
Shot selection−0.56 ±0.12
better than 10%
+0.14 ±0.19
better than 68%
Execution−0.60 ±0.33
better than 41%
+0.70 ±0.38
better than 89%
Points left on the table2.82 ±0.07
lower than 29%
2.61 ±0.12
lower than 48%

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.

Structural compatibility

Expected edge per 100 rally shots from style alone: Robin Haase +1.16, Roberto Carballes Baena +0.55. Each player's shot mix weighted by their own skill with each shot and by how much the other gives up against it. This is why some rankings gaps don't hold in a given matchup.

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.

Robin Haase serving

Deuce court

1st serveNowRobin winsv RobertoMatchupOptimal
Wide43%73%71%70.6%±5.256% ▲
Body7%58%62%56.8%±12.30% ▼
T50%76%75%76.0%±5.244% ▼

Optimal v Roberto Carballes Baena: +0.5±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRobin winsv RobertoMatchupOptimal
Wide57%76%73%76.3%±4.868% ▲
Body7%57%63%57.0%±13.30% ▼
T36%71%73%72.6%±5.832% ▼

Optimal v Roberto Carballes Baena: +0.3±0.6 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.7 per 100 first serves in before the returner adjusts.

Roberto Carballes Baena serving

Deuce court

1st serveNowRoberto winsv RobinMatchupOptimal
Wide46%68%72%67.2%±5.445%
Body12%56%64%57.6%±9.40% ▼
T42%72%76%73.8%±5.455% ▲

Optimal v Robin Haase: +0.8±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRoberto winsv RobinMatchupOptimal
Wide61%63%75%64.8%±5.260%
Body15%61%64%61.7%±9.72% ▼
T25%63%73%64.2%±7.438% ▲

Optimal v Robin Haase: +0.5±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +0.6 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.

Robin Haase returning

1st serve to the forehand

ReturnNowTourOwnv RobertoValue
FH through the middle39%+4.3+1.7+1.6+7.5±2.3
FH slice through the middle23%−4.2−0.3−0.6−5.1±2.1
FH crosscourt13%+5.5−2.3+3.3+6.5±4.3
FH slice crosscourt11%−4.3−1.8−1.2−7.3±2.4
FH down the line11%+1.7+3.1−1.2+3.6±4.4

Lean FH through the middle: +5.5±1.7 per 100 returns v the current mix (728 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RobertoValue
BH through the middle36%+6.4+0.4+1.3+8.1±2.0
BH slice through the middle20%−4.2−0.5−1.2−5.9±2.3
BH crosscourt18%+8.8−2.9+0.6+6.6±3.1
BH down the line11%+4.2+0.7−1.0+3.9±4.4
BH slice crosscourt9%+0.5−0.3−2.1−1.9±3.0

Lean BH through the middle: +5.4±1.6 per 100 returns v the current mix (872 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RobertoValue
FH through the middle47%−3.5+0.9+0.4−2.2±2.7
FH down the line27%−1.8+2.3±0.0+0.5±4.7
FH crosscourt18%−0.2−1.1+0.8−0.4±4.3
FH slice through the middle5%−12.7−0.4±0.0−13.0±1.2
FH slice crosscourt3%−12.5−1.4±0.0−13.9±1.4

Lean FH down the line: +2.6±3.7 per 100 returns v the current mix (181 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv RobertoValue
BH through the middle38%−2.9−1.0+1.1−2.8±2.2
BH crosscourt20%+1.0−1.0+0.6+0.6±3.0
FH through the middle14%−2.9−0.1+0.4−2.6±2.3
BH down the line13%−0.2−1.5−2.4−4.1±4.9
FH inside-out7%+1.0−1.0±0.0−0.1±3.7
FH inside-in6%+0.6+2.0+0.8+3.4±4.3

Lean FH inside-in: +5.2±4.2 per 100 returns v the current mix (567 returns charted)

Roberto Carballes Baena returning

1st serve to the forehand

ReturnNowTourOwnv RobinValue
FH through the middle48%+4.3+1.9−1.9+4.2±2.3
FH down the line28%+1.7+2.6−2.5+1.8±4.1
FH crosscourt10%+5.5+0.3−1.6+4.2±4.3
FH slice through the middle9%−4.2−0.8+0.7−4.3±2.3
FH slice down the line4%−4.3+1.3+0.1−2.8±3.0

Lean FH through the middle: +1.9±1.7 per 100 returns v the current mix (452 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RobinValue
BH through the middle44%+6.4+0.1−1.7+4.8±2.2
BH crosscourt37%+8.8+2.0−0.4+10.4±3.1
BH slice through the middle9%−4.2+0.4−1.3−5.1±2.2
BH down the line8%+4.2+0.4−1.7+2.9±4.5
BH slice crosscourt3%+0.5−0.1−1.3−0.8±2.6

Lean BH crosscourt: +4.7±2.2 per 100 returns v the current mix (393 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RobinValue
FH through the middle45%−3.5+0.9−0.8−3.3±2.6
FH down the line43%−1.8−0.8+0.6−2.0±4.7
FH crosscourt13%−0.2+1.0−0.2+0.6±4.1

Lean FH crosscourt: +2.8±4.3 per 100 returns v the current mix (148 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv RobinValue
BH crosscourt38%+1.0−0.9−1.0−0.9±2.7
BH through the middle33%−2.9+0.9+0.1−1.9±2.0
FH inside-out11%+1.0−0.1+0.6+1.4±3.7
FH through the middle11%−2.9+0.9−0.8−2.7±2.2
BH down the line4%−0.2−0.3−2.0−2.5±4.4

Lean FH inside-out: +2.7±3.5 per 100 returns v the current mix (297 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.

Robin Haase

Favour

ShotEdgeOwnTheirs
FH to the middle · return +1+4.3±2.4+1.6+2.6
FH to their forehand · return +1+4.3±3.5+0.9+3.4
FH to their backhand · rally+4.3±1.7+1.8+2.5
FH to their forehand · return+3.6±3.8+1.4+2.2
FH to their backhand · serve +1+3.5±2.4+0.2+3.3
BH to the middle · return+2.9±1.6+0.2+2.7

Avoid

ShotEdgeOwnTheirs
BH slice to their backhand · return−3.6±2.9−1.1−2.5
BH to their forehand · rally−3.0±3.2−1.4−1.6
BH to their forehand · return−1.8±3.9−0.5−1.3
BH to the middle · rally−1.0±1.4−0.3−0.7
BH to their forehand · return +1−0.9±4.9−2.3+1.4

Roberto Carballes Baena

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+2.2±1.9+2.9−0.7
BH to their backhand · serve +1+2.1±2.7+1.5+0.6
FH to the middle · rally+1.8±1.5+2.6−0.8
BH to the middle · return +1+1.4±2.2+1.4±0.0
BH to the middle · rally+1.4±1.5+1.8−0.4
FH to the middle · return +1+1.2±2.6+1.1+0.1

Avoid

ShotEdgeOwnTheirs
BH slice to their backhand · rally−2.3±2.2−1.8−0.5
FH to their backhand · return−1.6±3.2−0.2−1.4
BH slice to the middle · rally−1.6±2.2−1.4−0.2
BH slice to their forehand · rally−1.2±3.4−0.7−0.4
BH to the middle · return−0.9±1.7+0.8−1.7

Against Roberto Carballes Baena-like opponents

Robin Haase vMatchesServe pts wonReturn pts won
All charted opponents–62.9%34.9%
Players most similar to Roberto Carballes Baena3 62.6%34.5%

Similar by tactical fingerprint: Mariano Navone, Novak Djokovic, Jaume Munar, Roberto Bautista Agut, Pedro Martinez, Bernabe Zapata Miralles, Pablo Andujar, Mikhail Kukushkin, Guillermo Coria, Sergi Bruguera. When two players have rarely met, their records against these lookalikes fill the gap.