RallyIQ

Game plan

Igor Andreev v Juan Carlos Prado Angelo

Every number combines what Igor Andreev does well with what Juan Carlos Prado Angelo allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Igor Andreev wins, best of 3 56%90%: 22%–85% · best of 5: 57%
Serve points won 63.5% / 62.4% Igor / Juan · tour 65.7%
Strengths only, no similarity priors 56%serve 63.5% / 62.4%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Igor Andreev's record against Juan Carlos Prado Angelo'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

CareerIgorJuan
Direction choice−0.04 ±0.19
better than 45%
−0.03 ±0.13
better than 48%
Shot selection±0.00 ±0.31
better than 52%
+0.49 ±0.18
better than 92%
Execution−1.53 ±0.89
better than 9%
−1.24 ±0.54
better than 17%
Points left on the table2.63 ±0.22
lower than 47%
2.38 ±0.15
lower than 75%

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.

Igor Andreev serving

Deuce court

1st serveNowIgor winsv JuanMatchupOptimal
Wide39%75%70%71.5%±9.952% ▲
Body6%62%64%62.8%±18.00% ▼
T55%71%67%62.4%±9.548% ▼

Optimal v Juan Carlos Prado Angelo: +0.5±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowIgor winsv JuanMatchupOptimal
Wide61%63%65%53.4%±9.648% ▼
Body5%59%66%62.4%±18.55%
T34%70%69%66.8%±10.947% ▲

Optimal v Juan Carlos Prado Angelo: +0.7±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +8.4 per 100 first serves in before the returner adjusts.

Juan Carlos Prado Angelo serving

Deuce court

1st serveNowJuan winsv IgorMatchupOptimal
Wide27%69%71%67.1%±11.340% ▲
Body2%65%64%65.0%±17.00% ▼
T71%64%77%66.6%±9.960% ▼

Optimal v Igor Andreev: +0.5±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +0.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJuan winsv IgorMatchupOptimal
Wide54%67%74%69.0%±10.067% ▲
Body1%65%63%65.7%±18.00%
T45%63%75%66.5%±11.233% ▼

Optimal v Igor Andreev: +0.2±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.

Igor Andreev returning

1st serve to the forehand

ReturnNowTourOwnv JuanValue
FH through the middle37%+4.3−1.9+2.8+5.2±3.1
FH down the line23%+1.7+0.2+2.2+4.0±4.1
FH crosscourt21%+5.5−4.3+1.8+3.0±4.0
FH slice through the middle12%−4.2+0.1±0.0−4.2±1.4
FH slice down the line8%−4.3+1.1±0.0−3.2±1.8

Lean FH through the middle: +2.5±2.3 per 100 returns v the current mix (146 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JuanValue
BH through the middle30%+6.4−2.2+3.6+7.8±2.8
BH slice through the middle29%−4.2−1.3+0.4−5.1±2.0
BH crosscourt15%+8.8−3.4+3.4+8.8±3.5
BH slice crosscourt12%+0.5−1.0±0.0−0.5±1.9
BH down the line7%+4.2+3.1+3.5+10.8±4.1

Lean BH crosscourt: +6.4±3.2 per 100 returns v the current mix (148 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JuanValue
FH through the middle49%−3.5−0.6±0.0−4.1±2.8
FH crosscourt30%−0.2−3.4+0.9−2.7±3.9
FH down the line21%−1.8+0.1+2.1+0.4±3.9

Lean FH through the middle: −1.4±2.0 per 100 returns v the current mix (43 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv JuanValue
BH through the middle32%−2.9−0.8−1.0−4.7±2.6
BH crosscourt31%+1.0−3.5+1.1−1.4±3.3
FH inside-out15%+1.0+2.6+2.1+5.7±3.5
FH through the middle10%−2.9−1.2±0.0−4.1±2.3
BH down the line7%−0.2−0.3+0.6+0.1±4.1

Lean FH inside-out: +7.2±3.2 per 100 returns v the current mix (147 returns charted)

Juan Carlos Prado Angelo returning

1st serve to the forehand

ReturnNowTourOwnv IgorValue
FH through the middle60%+4.3+2.8−0.3+6.8±3.1
FH crosscourt24%+5.5+3.1±0.0+8.6±4.1
FH down the line16%+1.7+2.4−2.4+1.8±4.2

Lean FH crosscourt: +2.2±3.7 per 100 returns v the current mix (94 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv IgorValue
BH through the middle52%+6.4+2.8+0.1+9.3±2.7
BH crosscourt31%+8.8+3.1−1.1+10.8±3.6
BH down the line15%+4.2+3.7+1.1+9.0±4.4
BH slice through the middle3%−4.2+0.2+2.1−1.9±2.1

Lean BH crosscourt: +1.4±2.9 per 100 returns v the current mix (185 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv IgorValue
BH through the middle38%−2.9+0.7−0.4−2.6±2.6
BH crosscourt22%+1.0−2.2+0.8−0.4±3.3
FH through the middle16%−2.9−0.4+0.6−2.7±2.2
BH down the line9%−0.2−2.2−0.6−3.0±3.8
FH inside-out8%+1.0−1.8−0.3−1.1±2.5

Lean BH crosscourt: +1.3±2.8 per 100 returns v the current mix (141 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.

Igor Andreev

Favour

ShotEdgeOwnTheirs
FH to the middle · rally+3.0±2.3−0.3+3.3
BH to the middle · rally+2.1±2.2+0.6+1.5
BH to the middle · return+0.7±2.6−2.0+2.7
FH to their forehand · rally+0.3±3.1−1.8+2.2
FH to their forehand · return +1−0.6±4.4−2.0+1.4
FH to the middle · return−1.2±2.8−2.5+1.2

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−3.3±2.6−3.9+0.6
FH to their forehand · serve +1−2.6±4.0−2.1−0.5
FH to their backhand · serve +1−2.3±3.5−1.3−0.9
BH to their backhand · return−2.1±3.4−5.2+3.1
FH to their backhand · rally−1.4±2.7−2.3+0.9

Juan Carlos Prado Angelo

Favour

ShotEdgeOwnTheirs
BH to the middle · return+4.0±2.5+3.2+0.8
BH to the middle · rally+2.9±2.1+2.5+0.4
FH to the middle · return+2.3±2.9+1.5+0.8
BH to their backhand · return+2.2±3.3+2.3−0.1
FH to the middle · rally+0.1±2.3+2.0−1.9
FH to their forehand · rally−0.3±3.1−0.9+0.6

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return +1−5.0±3.5−0.7−4.2
FH to their backhand · serve +1−3.4±3.7−1.3−2.1
FH to their backhand · rally−2.3±3.1−1.1−1.2
BH to their backhand · serve +1−1.9±3.5−0.7−1.2
FH to their forehand · serve +1−1.6±4.1−1.0−0.6

Against Juan Carlos Prado Angelo-like opponents

Igor Andreev vMatchesServe pts wonReturn pts won
All charted opponents–58.3%34.2%