RallyIQ

Game plan

Adrian Andreev v Daniel Elahi Galan

Every number combines what Adrian Andreev does well with what Daniel Elahi Galan allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Adrian Andreev wins, best of 3 64%90%: 30%–89% · best of 5: 68%
Serve points won 62.4% / 59.6% Adrian / Daniel · tour 63.4%
Strengths only, no similarity priors 64%serve 62.4% / 59.6%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Adrian Andreev's record against Daniel Elahi Galan'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

CareerAdrianDaniel
Direction choice+0.03 ±0.12
better than 66%
−0.09 ±0.10
better than 32%
Shot selection−0.07 ±0.36
better than 44%
+0.44 ±0.13
better than 89%
Execution−1.22 ±0.62
better than 18%
−0.67 ±0.46
better than 38%
Points left on the table2.25 ±0.09
lower than 88%
2.56 ±0.23
lower than 54%

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.

Adrian Andreev serving

Deuce court

1st serveNowAdrian winsv DanielMatchupOptimal
Wide53%63%75%65.6%±8.666% ▲
Body2%63%69%68.6%±15.00% ▼
T45%73%75%73.0%±8.634% ▼

Optimal v Daniel Elahi Galan: +0.1±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAdrian winsv DanielMatchupOptimal
Wide47%69%70%66.3%±9.760% ▲
Body5%64%61%62.1%±15.80% ▼
T48%67%72%67.4%±9.640% ▼

Optimal v Daniel Elahi Galan: +0.3±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +0.8 per 100 first serves in before the returner adjusts.

Daniel Elahi Galan serving

Deuce court

1st serveNowDaniel winsv AdrianMatchupOptimal
Wide39%68%64%58.4%±10.852% ▲
Body11%56%58%50.8%±16.40% ▼
T50%71%68%63.2%±9.048% ▼

Optimal v Adrian Andreev: +0.4±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowDaniel winsv AdrianMatchupOptimal
Wide54%70%65%61.6%±9.552% ▼
Body11%58%59%53.1%±16.10% ▼
T35%64%69%60.7%±11.248% ▲

Optimal v Adrian Andreev: +0.3±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.2 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.

Adrian Andreev returning

1st serve to the forehand

ReturnNowTourOwnv DanielValue
FH through the middle46%+4.3+2.0−2.9+3.4±2.8
FH crosscourt23%+5.5+0.9−0.9+5.5±4.1
FH down the line22%+1.7+5.3+2.0+8.9±4.1
FH slice crosscourt9%−4.3+0.7−0.1−3.7±1.9

Lean FH crosscourt: +1.1±3.5 per 100 returns v the current mix (65 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv DanielValue
BH through the middle53%+6.4+2.5−0.2+8.7±2.6
BH crosscourt29%+8.8+2.5+0.4+11.6±3.5
BH down the line7%+4.2+0.9+0.2+5.3±4.1
BH slice through the middle7%−4.2+1.0−2.1−5.4±2.1
BH slice down the line3%−8.4+1.4+0.8−6.2±2.0

Lean BH crosscourt: +3.8±2.9 per 100 returns v the current mix (150 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv DanielValue
BH through the middle62%−2.9+0.5+0.6−1.8±2.4
BH crosscourt32%+1.0−0.6−0.7−0.3±3.1
BH down the line6%−0.2+0.5+5.3+5.7±4.3

Lean BH crosscourt: +0.5±2.6 per 100 returns v the current mix (128 returns charted, inside the 90% margin)

Daniel Elahi Galan returning

1st serve to the forehand

ReturnNowTourOwnv AdrianValue
FH through the middle53%+4.3+0.1+3.4+7.8±3.0
FH crosscourt27%+5.5−2.1+2.3+5.7±3.8
FH down the line17%+1.7−0.9+4.1+4.8±4.3
FH slice through the middle3%−4.2−1.4+0.9−4.7±2.0

Lean FH through the middle: +1.4±1.9 per 100 returns v the current mix (219 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv AdrianValue
BH through the middle37%+6.4−0.8+2.3+7.9±2.8
BH crosscourt34%+8.8+1.0+2.9+12.7±3.5
BH down the line14%+4.2−0.9+2.6+5.9±4.3
BH slice through the middle6%−4.2−0.8+1.4−3.6±2.3
BH slice crosscourt6%+0.5±0.0+1.0+1.5±2.3

Lean BH crosscourt: +4.9±2.6 per 100 returns v the current mix (286 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AdrianValue
FH through the middle52%−3.5−0.5+1.1−2.8±2.7
FH crosscourt34%−0.2−2.6±0.0−2.8±4.0
FH down the line14%−1.8−0.9+1.1−1.6±3.9

Lean FH crosscourt: −0.2±3.1 per 100 returns v the current mix (50 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AdrianValue
BH crosscourt47%+1.0−1.0±0.0±0.0±3.2
BH through the middle45%−2.9−0.6+1.3−2.2±2.5
BH down the line8%−0.2−0.6+1.6+0.8±4.5

Lean BH down the line: +1.7±4.5 per 100 returns v the current mix (200 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.

Adrian Andreev

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+6.5±2.7+3.5+3.1
FH to the middle · rally+4.0±2.3+2.9+1.1
FH to their forehand · rally+3.7±2.9+1.5+2.2
BH to their forehand · rally+3.3±4.3+5.5−2.2
BH to the middle · rally+2.3±2.1+2.5−0.2
BH to the middle · return+1.8±2.2+1.3+0.5

Avoid

ShotEdgeOwnTheirs
BH to their backhand · serve +1−3.2±3.4−2.3−1.0
FH to their forehand · serve +1−1.4±3.9−3.1+1.7
BH to their backhand · rally−0.3±2.4−0.8+0.4
FH to their backhand · serve +1+0.1±3.5−1.2+1.4
BH to their backhand · return+0.2±3.1+0.5−0.3

Daniel Elahi Galan

Favour

ShotEdgeOwnTheirs
FH to the middle · return+4.1±2.7+0.6+3.6
FH to the middle · rally+3.7±2.3+0.1+3.6
BH to the middle · rally+2.6±2.0+0.5+2.1
BH to their backhand · return+2.0±3.1+0.4+1.6
BH to their forehand · rally+1.6±4.3−1.5+3.1
BH to the middle · return+1.6±2.3−1.3+2.8

Avoid

ShotEdgeOwnTheirs
BH to their backhand · serve +1−1.4±3.4−1.6+0.2
FH to their forehand · rally−1.4±2.9+0.9−2.3
BH to their backhand · rally−0.6±2.3−0.3−0.3
FH to their forehand · serve +1−0.3±3.7+0.3−0.7
FH to their backhand · rally+0.3±2.9−0.1+0.4

Against Daniel Elahi Galan-like opponents

Adrian Andreev vMatchesServe pts wonReturn pts won
All charted opponents–59.2%40.8%

Similar by tactical fingerprint: Casper Ruud, Cameron Norrie, Gael Monfils, Juncheng Shang, Thiago Monteiro, Mackenzie Mcdonald, Cristian Garin, Radu Albot, Ilya Ivashka, Pablo Cuevas. When two players have rarely met, their records against these lookalikes fill the gap.