RallyIQ

Game plan

Egor Gerasimov v Marcelo Rios

Every number combines what Egor Gerasimov does well with what Marcelo Rios allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Egor Gerasimov wins, best of 3 37%90%: 14%–67% · best of 5: 34%
Serve points won 64.5% / 67.1% Egor / Marcelo · tour 65.7%
Strengths only, no similarity priors 37%serve 64.5% / 67.1%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Egor Gerasimov's record against Marcelo Rios'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

CareerEgorMarcelo
Direction choice−0.12 ±0.11
better than 26%
+0.13 ±0.05
better than 87%
Shot selection+0.25 ±0.18
better than 75%
−0.23 ±0.19
better than 28%
Execution−0.08 ±0.57
better than 64%
−0.40 ±0.62
better than 48%
Points left on the table2.49 ±0.18
lower than 61%
2.60 ±0.15
lower than 50%

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.

Egor Gerasimov serving

Deuce court

1st serveNowEgor winsv MarceloMatchupOptimal
Wide42%77%68%73.0%±7.455% ▲
Body7%63%66%65.6%±13.10% ▼
T51%70%75%69.9%±7.845% ▼

Optimal v Marcelo Rios: +0.5±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowEgor winsv MarceloMatchupOptimal
Wide68%72%72%71.3%±7.364% ▼
Body9%65%66%68.0%±11.90% ▼
T23%67%69%64.0%±9.636% ▲

Optimal v Marcelo Rios: +0.1±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.0 per 100 first serves in before the returner adjusts.

Marcelo Rios serving

Deuce court

1st serveNowMarcelo winsv EgorMatchupOptimal
Wide46%67%69%62.9%±8.033% ▼
Body6%65%60%61.8%±15.16%
T48%72%76%73.4%±7.461% ▲

Optimal v Egor Gerasimov: +0.8±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMarcelo winsv EgorMatchupOptimal
Wide62%70%73%70.1%±7.057% ▼
Body8%65%67%69.2%±13.80% ▼
T30%75%70%73.9%±8.143% ▲

Optimal v Egor Gerasimov: +0.6±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.7 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.

Egor Gerasimov returning

1st serve to the forehand

ReturnNowTourOwnv MarceloValue
FH through the middle65%+4.3±0.0−1.0+3.2±2.7
FH crosscourt20%+5.5+0.1+1.5+7.1±4.2
FH down the line16%+1.7+1.2−1.3+1.6±4.5

Lean FH crosscourt: +3.3±3.9 per 100 returns v the current mix (200 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv MarceloValue
BH through the middle52%+6.4+0.2−1.2+5.4±2.5
BH crosscourt28%+8.8−2.0−0.3+6.5±3.5
BH down the line12%+4.2−5.8−2.5−4.1±4.4
BH slice through the middle6%−4.2+0.1+2.0−2.1±2.1
BH slice crosscourt3%+0.5−1.4+1.9+1.0±2.5

Lean BH crosscourt: +2.5±2.9 per 100 returns v the current mix (189 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv MarceloValue
BH through the middle55%−2.9+0.2+0.9−1.8±2.4
BH crosscourt30%+1.0−0.6−0.2+0.3±3.2
BH down the line15%−0.2−0.7−1.5−2.4±4.7

Lean BH crosscourt: +1.5±2.7 per 100 returns v the current mix (118 returns charted, inside the 90% margin)

Marcelo Rios returning

1st serve to the forehand

ReturnNowTourOwnv EgorValue
FH through the middle45%+4.3−2.6+1.4+3.1±2.9
FH crosscourt30%+5.5−0.1−1.3+4.1±4.2
FH down the line21%+1.7−3.6−0.8−2.8±4.2
FH slice through the middle2%−4.2+0.1−0.9−5.1±2.0
FH slice crosscourt2%−4.3+0.6+0.6−3.1±1.9

Lean FH crosscourt: +2.2±3.3 per 100 returns v the current mix (327 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv EgorValue
BH through the middle33%+6.4−2.5+2.2+6.1±2.6
BH down the line20%+4.2+0.1+1.3+5.6±4.5
BH crosscourt20%+8.8−2.5+1.1+7.5±3.4
BH slice through the middle15%−4.2+0.4−1.4−5.2±2.5
BH slice down the line7%−8.4+1.0+0.9−6.5±3.2

Lean BH crosscourt: +4.0±3.0 per 100 returns v the current mix (493 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv EgorValue
FH crosscourt50%−0.2+1.1+0.7+1.6±4.4
FH through the middle35%−3.5−0.6−1.3−5.3±2.9
FH down the line15%−1.8−0.3−0.2−2.4±4.3

Lean FH crosscourt: +3.0±2.5 per 100 returns v the current mix (147 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv EgorValue
BH through the middle33%−2.9+1.2+0.3−1.3±2.5
BH down the line32%−0.2+1.8−1.1+0.4±4.8
BH crosscourt26%+1.0+1.3+2.2+4.5±3.2
FH inside-in2%+0.6+0.9+0.7+2.1±3.8
FH inside-out2%+1.0+1.1−0.2+1.8±3.0

Lean BH crosscourt: +3.8±2.9 per 100 returns v the current mix (356 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 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.

Egor Gerasimov

Favour

ShotEdgeOwnTheirs
BH to the middle · serve +1+1.7±2.6±0.0+1.7
FH to the middle · rally+1.6±2.1+1.4+0.2
FH to their backhand · serve +1+1.3±3.3+1.1+0.2
BH to the middle · return+0.5±2.0+0.2+0.3
BH to the middle · return +1+0.2±2.5+0.8−0.6
FH to their backhand · rally+0.2±2.5−0.2+0.4

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return−4.0±3.2−1.7−2.3
BH to their forehand · return−3.1±4.2−2.9−0.2
BH to the middle · rally−2.3±1.8−1.8−0.5
BH to their backhand · rally−2.2±2.2−0.1−2.1
BH to their forehand · rally−1.6±3.5−1.2−0.4

Marcelo Rios

Favour

ShotEdgeOwnTheirs
FH to the middle · return +1+3.9±2.8+1.4+2.5
BH to the middle · return+2.1±2.1−0.6+2.7
FH to the middle · serve +1+1.8±2.7+0.1+1.7
BH to the middle · rally+0.6±1.9−0.5+1.1
BH to their backhand · serve +1+0.6±3.2−0.2+0.8
FH to the middle · rally±0.0±2.1−1.3+1.3

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return +1−4.0±3.3−3.7−0.4
FH to the middle · return−3.0±2.4−2.2−0.8
BH to their backhand · rally−2.0±2.2−3.5+1.5
FH to their forehand · rally−1.4±2.7−1.3−0.1
BH to their backhand · return−1.3±2.9−2.0+0.8

Against Marcelo Rios-like opponents

Egor Gerasimov vMatchesServe pts wonReturn pts won
All charted opponents–63.5%36.2%

Similar by tactical fingerprint: David Goffin, Fernando Verdasco, Paul Henri Mathieu, David Nalbandian, Ivan Ljubicic, Juan Carlos Ferrero, Gustavo Kuerten, Andre Agassi, Yevgeny Kafelnikov, Magnus Norman. When two players have rarely met, their records against these lookalikes fill the gap.