RallyIQ

Game plan

Learner Tien v Guillermo Garcia Lopez

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

Forecast

Learner Tien wins, best of 3 34%90%: 7%–74% · best of 5: 30%
Serve points won 59.0% / 62.2% Learner / Guillermo · tour 61.3%
Strengths only, no similarity priors 34%serve 59.0% / 62.2%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Learner Tien's record against Guillermo Garcia Lopez'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

CareerLearnerGuillermo
Direction choice+0.07 ±0.09
better than 74%
−0.10 ±0.14
better than 30%
Shot selection−0.29 ±0.17
better than 24%
−0.35 ±0.19
better than 19%
Execution+0.47 ±0.60
better than 83%
+0.73 ±0.86
better than 89%
Points left on the table2.54 ±0.11
lower than 56%
2.65 ±0.24
lower than 46%

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.

Learner Tien serving

Deuce court

1st serveNowLearner winsv GuillermoMatchupOptimal
Wide44%69%72%67.5%±8.657% ▲
Body9%65%61%62.8%±12.39%
T47%62%73%60.6%±8.234% ▼

Optimal v Guillermo Garcia Lopez: +0.5±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 serveNowLearner winsv GuillermoMatchupOptimal
Wide51%70%79%76.2%±7.064% ▲
Body9%71%70%76.5%±10.70% ▼
T40%78%74%79.8%±7.136% ▼

Optimal v Guillermo Garcia Lopez: +0.7±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.1 per 100 first serves in before the returner adjusts.

Guillermo Garcia Lopez serving

Deuce court

1st serveNowGuillermo winsv LearnerMatchupOptimal
Wide35%73%69%69.5%±8.335%
Body16%69%55%60.3%±12.92% ▼
T50%80%76%80.9%±6.663% ▲

Optimal v Learner Tien: +0.8±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +7.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowGuillermo winsv LearnerMatchupOptimal
Wide48%75%74%76.1%±7.251% ▲
Body19%62%58%57.6%±12.86% ▼
T33%78%67%72.8%±8.843% ▲

Optimal v Learner Tien: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.6 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.

Learner Tien returning

1st serve to the forehand

ReturnNowTourOwnv GuillermoValue
FH through the middle30%+4.3+0.8−1.6+3.5±2.9
FH slice through the middle23%−4.2+0.1±0.0−4.1±1.6
FH crosscourt17%+5.5+2.9−2.2+6.2±4.4
FH slice crosscourt16%−4.3+2.4±0.0−2.0±2.0
FH down the line8%+1.7+0.1+1.8+3.5±4.4

Lean FH crosscourt: +5.6±3.8 per 100 returns v the current mix (420 returns charted)

1st serve to the backhand

ReturnNowTourOwnv GuillermoValue
BH through the middle39%+6.4−0.2−1.9+4.3±2.6
BH crosscourt25%+8.8−0.9+0.1+8.0±3.4
BH down the line16%+4.2+2.1−1.1+5.2±4.6
BH slice through the middle11%−4.2−1.4+0.3−5.3±2.2
BH slice down the line6%−8.4+0.5+0.9−6.9±3.0

Lean BH crosscourt: +4.5±2.8 per 100 returns v the current mix (497 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv GuillermoValue
FH through the middle45%−3.5−1.1−0.7−5.2±2.9
FH crosscourt39%−0.2+2.7−0.9+1.5±4.4
FH down the line13%−1.8+0.4−0.8−2.2±4.4
FH slice through the middle4%−12.7+0.5±0.0−12.2±1.1

Lean FH crosscourt: +4.0±3.0 per 100 returns v the current mix (155 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv GuillermoValue
BH through the middle42%−2.9+0.7+0.2−2.0±2.5
BH crosscourt30%+1.0+1.2+1.7+3.8±3.3
BH down the line15%−0.2−0.1−0.7−0.9±5.0
FH through the middle7%−2.9+1.2−0.7−2.4±2.3
FH inside-in5%+0.6±0.0−0.9−0.4±4.0

Lean BH crosscourt: +3.8±2.6 per 100 returns v the current mix (257 returns charted)

Guillermo Garcia Lopez returning

1st serve to the forehand

ReturnNowTourOwnv LearnerValue
FH through the middle47%+4.3+1.2−1.2+4.2±2.8
FH crosscourt19%+5.5−1.5+6.0+10.0±4.1
FH down the line16%+1.7−0.5−5.5−4.4±4.3
FH slice through the middle12%−4.2+0.2−1.4−5.4±2.1
FH slice crosscourt7%−4.3+0.5+0.9−2.8±2.4

Lean FH crosscourt: +7.7±3.7 per 100 returns v the current mix (116 returns charted)

1st serve to the backhand

ReturnNowTourOwnv LearnerValue
BH slice through the middle28%−4.2+2.0+0.9−1.3±2.5
BH through the middle26%+6.4+0.4+2.7+9.5±2.5
BH crosscourt14%+8.8−1.3+3.8+11.3±3.3
BH down the line12%+4.2−0.5+0.9+4.6±4.4
BH slice crosscourt11%+0.5+0.9−1.1+0.3±2.8

Lean BH crosscourt: +7.5±3.0 per 100 returns v the current mix (167 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv LearnerValue
BH crosscourt36%+1.0+0.1+1.3+2.4±3.1
BH through the middle29%−2.9+0.3+1.5−1.1±2.3
FH through the middle10%−2.9−0.8+0.3−3.4±2.1
BH down the line7%−0.2+0.3+0.1+0.1±4.3
BH slice crosscourt7%−4.0−0.4±0.0−4.4±1.6

Lean BH crosscourt: +3.0±2.1 per 100 returns v the current mix (110 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.

Learner Tien

Favour

ShotEdgeOwnTheirs
BH to their forehand · return+3.6±5.8+1.8+1.8
BH to their backhand · return +1+3.2±4.2−1.3+4.5
BH to their forehand · rally+2.9±4.9+3.8−0.9
FH to their backhand · rally+0.8±3.7+0.1+0.8
FH to the middle · rally+0.8±2.8+1.2−0.4
FH to their backhand · return−0.1±5.1+1.1−1.2

Avoid

ShotEdgeOwnTheirs
BH slice to their backhand · rally−4.3±3.3−3.8−0.4
FH to their backhand · return +1−2.5±5.2+0.6−3.1
FH to their forehand · serve +1−1.9±4.3−1.3−0.6
FH to their backhand · serve +1−1.6±3.7−1.8+0.2
FH to the middle · return−1.5±3.0+0.1−1.6

Guillermo Garcia Lopez

Favour

ShotEdgeOwnTheirs
BH to their forehand · rally+5.8±5.6+2.0+3.8
FH to their forehand · serve +1+5.6±4.7+7.2−1.7
FH to their backhand · return +1+4.3±4.9+5.4−1.1
BH to the middle · return+4.3±3.2+2.0+2.3
BH slice to the middle · return+4.2±3.1+3.1+1.1
BH to the middle · rally+3.5±2.6+1.2+2.4

Avoid

ShotEdgeOwnTheirs
BH slice to their backhand · rally−3.2±3.1−1.4−1.8
BH to their backhand · rally−1.1±2.7+2.2−3.3
FH to their forehand · rally+0.2±4.2+1.2−1.0
BH to their backhand · return+0.3±4.0−1.0+1.4
FH to their backhand · serve +1+0.4±3.7+1.6−1.2

Against Guillermo Garcia Lopez-like opponents

Learner Tien vMatchesServe pts wonReturn pts won
All charted opponents–62.2%38.5%

Similar by tactical fingerprint: Lorenzo Musetti, Gael Monfils, Jack Draper, Marton Fucsovics, David Goffin, Andy Murray, Juan Martin Del Potro, Philipp Kohlschreiber, Marcos Baghdatis. When two players have rarely met, their records against these lookalikes fill the gap.