RallyIQ

Game plan

Guillermo Garcia Lopez v Jack Draper

Every number combines what Guillermo Garcia Lopez does well with what Jack Draper allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Guillermo Garcia Lopez wins, best of 3 22%90%: 6%–51% · best of 5: 16%
Serve points won 64.2% / 70.7% Guillermo / Jack · tour 65.7%
Strengths only, no similarity priors 22%serve 64.2% / 70.7%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Guillermo Garcia Lopez's record against Jack Draper's tactical lookalikes and in their charted head-to-heads. 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

CareerGuillermoJack
Direction choice−0.10 ±0.14
better than 30%
+0.10 ±0.07
better than 81%
Shot selection−0.35 ±0.19
better than 19%
+0.26 ±0.13
better than 77%
Execution+0.73 ±0.86
better than 89%
+1.21 ±0.65
better than 98%
Points left on the table2.65 ±0.24
lower than 46%
2.75 ±0.11
lower than 35%

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.

Guillermo Garcia Lopez serving

Deuce court

1st serveNowGuillermo winsv JackMatchupOptimal
Wide35%73%72%72.5%±7.748% ▲
Body16%69%62%67.2%±12.72% ▼
T50%80%71%76.9%±7.550%

Optimal v Jack Draper: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowGuillermo winsv JackMatchupOptimal
Wide48%75%75%76.7%±7.048%
Body19%62%66%65.5%±12.66% ▼
T33%78%71%76.6%±7.946% ▲

Optimal v Jack Draper: +0.5±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.2 per 100 first serves in before the returner adjusts.

Jack Draper serving

Deuce court

1st serveNowJack winsv GuillermoMatchupOptimal
Wide41%71%72%70.2%±8.254% ▲
Body5%60%61%58.0%±13.90% ▼
T54%73%73%71.6%±6.946% ▼

Optimal v Guillermo Garcia Lopez: +0.2±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJack winsv GuillermoMatchupOptimal
Wide51%76%79%81.9%±5.864% ▲
Body6%65%70%71.4%±12.50% ▼
T43%73%74%74.4%±7.836% ▼

Optimal v Guillermo Garcia Lopez: +0.9±0.8 per 100 first serves (faults included) over the current mix. Serving wide every time would read +3.9 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.

Guillermo Garcia Lopez returning

1st serve to the forehand

ReturnNowTourOwnv JackValue
FH through the middle47%+4.3+1.2+2.1+7.6±2.9
FH crosscourt19%+5.5−1.5+2.4+6.5±4.2
FH down the line16%+1.7−0.5+0.9+2.0±4.3
FH slice through the middle12%−4.2+0.2±0.0−4.0±2.2
FH slice crosscourt7%−4.3+0.5−1.8−5.6±2.4

Lean FH through the middle: +3.4±1.9 per 100 returns v the current mix (116 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JackValue
BH slice through the middle28%−4.2+2.0−0.8−2.9±2.5
BH through the middle26%+6.4+0.4+1.9+8.6±2.5
BH crosscourt14%+8.8−1.3+1.2+8.6±3.3
BH down the line12%+4.2−0.5−0.2+3.5±4.4
BH slice crosscourt11%+0.5+0.9+1.8+3.2±2.7

Lean BH through the middle: +5.9±2.2 per 100 returns v the current mix (167 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv JackValue
BH crosscourt36%+1.0+0.1−2.7−1.6±3.0
BH through the middle29%−2.9+0.3+0.6−1.9±2.3
FH through the middle10%−2.9−0.8−1.0−4.7±2.0
BH down the line7%−0.2+0.3−3.4−3.4±4.3
BH slice crosscourt7%−4.0−0.4±0.0−4.4±1.3

Lean BH crosscourt: +1.1±2.1 per 100 returns v the current mix (110 returns charted, inside the 90% margin)

Jack Draper returning

1st serve to the forehand

ReturnNowTourOwnv GuillermoValue
FH through the middle51%+4.3+0.3−1.6+3.0±2.8
FH crosscourt27%+5.5+0.1−2.2+3.4±4.2
FH down the line14%+1.7−1.2+1.8+2.2±4.4
FH slice through the middle6%−4.2+0.9±0.0−3.3±1.6
FH slice crosscourt2%−4.3+1.5±0.0−2.8±1.5

Lean FH crosscourt: +0.9±3.5 per 100 returns v the current mix (427 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv GuillermoValue
BH through the middle46%+6.4+1.0−1.9+5.6±2.5
BH crosscourt28%+8.8−1.6+0.1+7.3±3.3
BH down the line12%+4.2+2.7−1.1+5.8±4.6
BH slice through the middle8%−4.2−1.0+0.3−4.9±2.2
BH slice down the line3%−8.4+0.6+0.9−6.9±2.9

Lean BH crosscourt: +2.7±2.7 per 100 returns v the current mix (581 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv GuillermoValue
FH through the middle46%−3.5−0.7−0.7−4.9±2.9
FH crosscourt31%−0.2−0.3−0.9−1.4±4.4
FH down the line18%−1.8+3.0−0.8+0.4±4.5
FH slice through the middle4%−12.7−2.1±0.0−14.7±1.2

Lean FH down the line: +3.7±4.2 per 100 returns v the current mix (179 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv GuillermoValue
BH through the middle45%−2.9+2.0+0.2−0.7±2.4
BH crosscourt27%+1.0−1.7+1.7+0.9±3.2
FH through the middle9%−2.9+1.5−0.7−2.0±2.4
BH down the line8%−0.2+0.3−0.7−0.5±5.0
FH inside-in6%+0.6−0.3−0.9−0.7±4.2

Lean BH crosscourt: +1.1±2.6 per 100 returns v the current mix (412 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 grass. Each player's grass record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Guillermo Garcia Lopez

Favour

ShotEdgeOwnTheirs
FH to their backhand · return +1+6.9±4.7+3.5+3.4
BH to their forehand · rally+5.0±4.6+2.0+3.1
FH to the middle · rally+4.1±3.0+1.0+3.1
FH to their forehand · serve +1+4.1±4.5+5.5−1.3
BH to their backhand · rally+3.4±2.4+2.4+1.0
FH to their backhand · rally+3.2±3.6+2.6+0.6

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return−3.8±4.1−1.2−2.6
BH slice to their backhand · rally−1.8±2.5−0.6−1.2
FH to their forehand · rally+0.5±3.8+1.8−1.2
FH to their backhand · serve +1+0.9±4.1+1.1−0.2
FH to the middle · return+1.0±3.0+0.8+0.2

Jack Draper

Favour

ShotEdgeOwnTheirs
FH to their backhand · return +1+4.8±4.7+6.7−1.9
BH to their backhand · return +1+4.3±3.4+0.9+3.4
BH to their forehand · return+3.3±5.3+2.0+1.2
BH to their backhand · rally+1.9±3.0+1.4+0.5
BH to their backhand · return+1.2±3.2+2.2−1.0
BH to their forehand · rally+1.1±4.6+1.7−0.6

Avoid

ShotEdgeOwnTheirs
FH to the middle · return−2.5±3.3−0.7−1.8
FH to their backhand · rally−1.5±3.7−1.1−0.4
BH slice to their backhand · rally−0.9±2.6−0.2−0.7
FH to their backhand · return−0.9±4.8+1.5−2.4
FH to their forehand · rally−0.3±4.0−1.0+0.7

Against Jack Draper-like opponents

Guillermo Garcia Lopez vMatchesServe pts wonReturn pts won
All charted opponents–64.3%36.7%

Similar by tactical fingerprint: Learner Tien, Hubert Hurkacz, Gael Monfils, Novak Djokovic, Taylor Fritz, Arthur Cazaux, Borna Coric, David Goffin, Marcos Baghdatis, Nicolas Almagro. When two players have rarely met, their records against these lookalikes fill the gap.