RallyIQ

Game plan

Feliciano Lopez v Grigor Dimitrov

Every number combines what Feliciano Lopez does well with what Grigor Dimitrov allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Feliciano Lopez wins, best of 3 31%90%: 17%–49% · best of 5: 27%
Serve points won 65.9% / 70.0% Feliciano / Grigor · tour 61.3%
Strengths only, no similarity priors 28%serve 65.1% / 69.9%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Feliciano Lopez's record against Grigor Dimitrov's tactical lookalikes and in their charted head-to-heads (lookalikes: +0.5 on serve, −0.5 on return vs expectation (982 points); head-to-head: +5.6 on serve, +0.1 on return vs expectation (422 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

CareerFelicianoGrigor
Direction choice−0.05 ±0.07
better than 44%
−0.07 ±0.05
better than 38%
Shot selection−0.69 ±0.13
better than 6%
−0.42 ±0.09
better than 15%
Execution−2.05 ±0.46
better than 3%
−0.13 ±0.23
better than 61%
Points left on the table3.52 ±0.13
lower than 8%
2.78 ±0.07
lower than 32%

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.

Feliciano Lopez serving

Deuce court

1st serveNowFeliciano winsv GrigorMatchupOptimal
Wide40%80%72%79.4%±3.338% ▼
Body11%69%64%70.0%±5.80% ▼
T49%74%74%72.6%±3.162% ▲

Optimal v Grigor Dimitrov: +0.3±0.5 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowFeliciano winsv GrigorMatchupOptimal
Wide49%80%74%81.1%±2.762% ▲
Body9%69%65%71.0%±6.50% ▼
T42%82%72%81.8%±3.138% ▼

Optimal v Grigor Dimitrov: +0.6±0.5 per 100 first serves (faults included) over the current mix. Serving T every time would read +1.2 per 100 first serves in before the returner adjusts.

Grigor Dimitrov serving

Deuce court

1st serveNowGrigor winsv FelicianoMatchupOptimal
Wide46%74%76%77.4%±2.840% ▼
Body7%67%68%71.8%±6.00% ▼
T47%79%81%84.5%±2.560% ▲

Optimal v Feliciano Lopez: +0.7±0.5 per 100 first serves (faults included) over the current mix. Serving T every time would read +4.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowGrigor winsv FelicianoMatchupOptimal
Wide50%76%82%84.8%±2.563% ▲
Body10%64%68%69.5%±6.30% ▼
T40%72%75%75.3%±3.337% ▼

Optimal v Feliciano Lopez: +1.2±0.5 per 100 first serves (faults included) over the current mix. Serving wide every time would read +5.3 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.

Feliciano Lopez returning

1st serve to the forehand

ReturnNowTourOwnv GrigorValue
FH through the middle39%+4.3−2.1−0.5+1.7±1.7
FH crosscourt31%+5.5−0.8−0.1+4.6±2.9
FH slice through the middle13%−4.2+0.7+0.3−3.2±1.9
FH down the line10%+1.7−5.6+0.5−3.4±3.5
FH slice crosscourt6%−4.3+2.1−0.6−2.8±2.8

Lean FH crosscourt: +3.5±2.2 per 100 returns v the current mix (789 returns charted)

1st serve to the backhand

ReturnNowTourOwnv GrigorValue
BH slice through the middle45%−4.2±0.0−0.2−4.5±1.5
BH slice crosscourt24%+0.5−4.0−2.1−5.5±2.5
BH through the middle11%+6.4−1.1+0.7+6.1±2.0
BH slice down the line10%−8.4+2.4+1.4−4.7±3.0
BH crosscourt5%+8.8−7.2−4.7−3.1±3.1

Lean BH through the middle: +9.2±2.0 per 100 returns v the current mix (1039 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv GrigorValue
FH through the middle49%−3.5−2.4−0.9−6.8±2.1
FH crosscourt32%−0.2−2.9+0.9−2.3±3.6
FH down the line13%−1.8−4.7−2.4−8.9±4.1
FH slice through the middle4%−12.7−1.6−0.6−14.9±1.8
FH slice crosscourt2%−12.5+0.3±0.0−12.2±1.3

Lean FH crosscourt: +3.7±2.7 per 100 returns v the current mix (325 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv GrigorValue
BH slice through the middle34%−11.3+0.7−0.8−11.3±2.2
BH slice crosscourt20%−4.0−3.5−1.4−8.9±2.3
BH through the middle17%−2.9−1.8−0.3−4.9±1.9
BH crosscourt9%+1.0−0.8+2.0+2.2±2.8
BH slice down the line7%−9.3+2.3−0.8−7.8±4.2

Lean BH crosscourt: +9.2±2.7 per 100 returns v the current mix (513 returns charted)

Grigor Dimitrov returning

1st serve to the forehand

ReturnNowTourOwnv FelicianoValue
FH through the middle51%+4.3+0.4−4.8−0.1±1.7
FH down the line25%+1.7−0.4−5.2−3.9±3.5
FH crosscourt13%+5.5−0.9+0.1+4.7±3.4
FH slice through the middle7%−4.2+0.2−3.1−7.2±2.1
FH slice down the line2%−4.3+1.0−1.8−5.1±3.1

Lean FH crosscourt: +5.9±3.2 per 100 returns v the current mix (2614 returns charted)

1st serve to the backhand

ReturnNowTourOwnv FelicianoValue
BH slice through the middle45%−4.2+0.4−1.7−5.5±1.5
BH slice crosscourt19%+0.5+1.0+1.3+2.8±2.4
BH through the middle14%+6.4−2.7−0.4+3.3±1.8
BH slice down the line9%−8.4+1.8−5.7−12.3±2.9
BH down the line7%+4.2−0.8−2.7+0.7±3.7
BH crosscourt5%+8.8±0.0+3.9+12.7±3.1

Lean BH crosscourt: +14.4±3.1 per 100 returns v the current mix (3178 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv FelicianoValue
FH through the middle53%−3.5+0.5−1.3−4.2±2.0
FH down the line25%−1.8+3.1−5.0−3.6±4.3
FH crosscourt18%−0.2+1.9+0.3+1.9±4.1
FH slice through the middle2%−12.7+0.5+0.2−12.0±2.2
FH slice crosscourt1%−12.5+0.3±0.0−12.2±1.4

Lean FH crosscourt: +5.2±3.7 per 100 returns v the current mix (631 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv FelicianoValue
BH through the middle24%−2.9−1.1−0.7−4.7±1.4
BH slice through the middle21%−11.3−1.7−2.3−15.3±1.9
BH slice crosscourt19%−4.0−1.6−0.1−5.7±2.1
BH down the line12%−0.2−0.6−1.8−2.6±3.9
BH crosscourt8%+1.0+0.4−3.6−2.2±2.6
FH inside-in4%+0.6+0.5+0.3+1.3±4.2

Lean FH inside-in: +7.9±4.1 per 100 returns v the current mix (2339 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 clay. Each player's clay record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Feliciano Lopez

Favour

ShotEdgeOwnTheirs
FH volley to the middle · rally+5.4±7.0+3.4+2.0
BH volley to their forehand · rally+4.4±7.7+8.6−4.2
BH volley to the middle · rally+3.1±7.6+4.7−1.7
BH slice to their forehand · return +1+2.7±4.6+2.9−0.3
FH volley to their backhand · rally+2.3±7.4+5.1−2.9
FH to their backhand · return +1+1.0±3.8+1.6−0.6

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return−12.1±4.8−9.6−2.5
BH volley to their forehand · serve +1−8.5±6.3−2.3−6.3
BH slice to their backhand · rally−7.7±2.5−3.0−4.8
FH to their forehand · serve +1−7.4±3.6−3.7−3.7
BH to the middle · return +1−7.2±2.8−5.0−2.2

Grigor Dimitrov

Favour

ShotEdgeOwnTheirs
FH to their backhand · return +1+4.6±3.9+1.6+3.0
FH to their forehand · serve +1+3.2±3.5+3.0+0.2
BH to their forehand · return +1+3.1±5.6+1.6+1.5
FH to the middle · return +1+1.5±3.1+1.8−0.3
BH to their backhand · return +1+1.1±3.6−1.2+2.3
BH to the middle · return +1+0.7±2.7−0.1+0.8

Avoid

ShotEdgeOwnTheirs
BH slice to their backhand · return−7.5±3.1−2.4−5.1
BH to their forehand · return−6.4±4.7−4.3−2.2
FH to the middle · serve +1−6.1±2.8−0.1−6.0
BH slice to the middle · return−6.0±2.3−2.9−3.1
FH to their forehand · return−5.8±4.9+0.5−6.3

Against Grigor Dimitrov-like opponents

Feliciano Lopez vMatchesServe pts wonReturn pts won
All charted opponents–65.1%28.7%
Players most similar to Grigor Dimitrov6 63.1%25.6%
Grigor Dimitrov (charted head-to-head)2 70.2%29.4%

Similar by tactical fingerprint: Casper Ruud, Stefanos Tsitsipas, Lorenzo Musetti, Matteo Berrettini, Marton Fucsovics, Stan Wawrinka, Christopher Oconnell, Dominic Thiem, Tim Van Rijthoven, Roger Federer. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head