RallyIQ

Game plan

Marcelo Rios v Petr Korda

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

Forecast

Marcelo Rios wins, best of 3 45%90%: 19%–74% · best of 5: 44%
Serve points won 65.8% / 66.8% Marcelo / Petr · tour 65.7%
Strengths only, no similarity priors 53%serve 66.9% / 66.3%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Marcelo Rios's record against Petr Korda's tactical lookalikes and in their charted head-to-heads (lookalikes: −9.5 on serve, −12.0 on return vs expectation (83 points); head-to-head: −17.2 on serve, −4.3 on return vs expectation (148 points)). 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

CareerMarceloPetr
Direction choice+0.13 ±0.05
better than 87%
+0.06 ±0.08
better than 72%
Shot selection−0.23 ±0.19
better than 28%
−0.66 ±0.14
better than 6%
Execution−0.40 ±0.62
better than 48%
−0.78 ±0.45
better than 34%
Points left on the table2.60 ±0.15
lower than 50%
3.32 ±0.11
lower than 10%

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.

Marcelo Rios serving

Deuce court

1st serveNowMarcelo winsv PetrMatchupOptimal
Wide46%67%73%67.9%±5.839% ▼
Body6%65%60%61.6%±12.90% ▼
T48%72%81%77.9%±5.661% ▲

Optimal v Petr Korda: +0.6±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMarcelo winsv PetrMatchupOptimal
Wide62%70%73%70.1%±5.757% ▼
Body8%65%65%67.1%±12.20% ▼
T30%75%75%77.7%±6.143% ▲

Optimal v Petr Korda: +0.5±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.6 per 100 first serves in before the returner adjusts.

Petr Korda serving

Deuce court

1st serveNowPetr winsv MarceloMatchupOptimal
Wide37%75%68%70.6%±5.947% ▲
Body11%60%66%62.3%±10.70% ▼
T52%73%75%72.9%±6.053% ▲

Optimal v Marcelo Rios: +0.5±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowPetr winsv MarceloMatchupOptimal
Wide63%69%72%68.7%±6.059% ▼
Body10%66%66%68.3%±10.00% ▼
T28%72%69%68.8%±7.341% ▲

Optimal v Marcelo Rios: +0.2±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +0.1 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.

Marcelo Rios returning

1st serve to the forehand

ReturnNowTourOwnv PetrValue
FH through the middle45%+4.3−2.6−1.0+0.6±2.6
FH crosscourt30%+5.5−0.1−5.1+0.3±4.3
FH down the line21%+1.7−3.6+1.4−0.5±4.3
FH slice through the middle2%−4.2+0.1−1.0−5.1±1.8
FH slice crosscourt2%−4.3+0.6−0.7−4.4±1.7

Lean FH through the middle: +0.5±2.1 per 100 returns v the current mix (327 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv PetrValue
BH through the middle33%+6.4−2.5−0.7+3.2±2.2
BH down the line20%+4.2+0.1+3.3+7.6±4.4
BH crosscourt20%+8.8−2.5−2.8+3.5±3.3
BH slice through the middle15%−4.2+0.4+2.4−1.4±2.3
BH slice down the line7%−8.4+1.0+5.2−2.2±3.5

Lean BH down the line: +4.7±3.7 per 100 returns v the current mix (493 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv PetrValue
FH crosscourt50%−0.2+1.1−4.5−3.6±4.3
FH through the middle35%−3.5−0.6−0.3−4.3±2.8
FH down the line15%−1.8−0.3−0.6−2.7±4.5

Lean FH down the line: +1.0±4.5 per 100 returns v the current mix (147 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv PetrValue
BH through the middle33%−2.9+1.2+1.0−0.7±2.2
BH down the line32%−0.2+1.8−0.4+1.2±4.6
BH crosscourt26%+1.0+1.3−2.5−0.2±3.1
FH inside-in2%+0.6+0.9−4.5−3.0±3.7
FH inside-out2%+1.0+1.1−0.6+1.5±3.1

Lean BH down the line: +1.3±3.3 per 100 returns v the current mix (356 returns charted, inside the 90% margin)

Petr Korda returning

1st serve to the forehand

ReturnNowTourOwnv MarceloValue
FH through the middle43%+4.3−1.4−1.0+1.8±2.7
FH crosscourt35%+5.5+2.2−1.3+6.4±4.2
FH down the line23%+1.7−2.3+1.5+0.8±4.3

Lean FH crosscourt: +3.2±3.1 per 100 returns v the current mix (376 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MarceloValue
BH through the middle27%+6.4−4.7−1.2+0.5±2.3
BH down the line22%+4.2−1.6−0.3+2.3±4.2
BH slice through the middle18%−4.2−0.2+2.0−2.4±2.3
BH slice down the line12%−8.4−2.2+1.9−8.7±3.4
BH crosscourt11%+8.8−0.4−2.5+5.9±3.6

Lean BH crosscourt: +6.2±3.4 per 100 returns v the current mix (661 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MarceloValue
FH crosscourt44%−0.2+1.5−5.3−4.0±4.4
FH through the middle34%−3.5−2.8−0.2−6.4±2.7
FH down the line22%−1.8+1.7±0.0±0.0±4.4

Lean FH down the line: +3.9±4.0 per 100 returns v the current mix (187 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv MarceloValue
BH through the middle33%−2.9−2.4+0.9−4.4±2.2
BH down the line24%−0.2+2.2−0.2+1.8±4.6
BH crosscourt19%+1.0−2.1−1.5−2.6±3.2
BH slice crosscourt9%−4.0−0.4+1.1−3.3±2.4
BH slice through the middle8%−11.3+1.6+3.0−6.7±2.4

Lean BH down the line: +4.8±3.7 per 100 returns v the current mix (528 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.

Marcelo Rios

Favour

ShotEdgeOwnTheirs
BH to the middle · serve +1+3.5±2.5+2.0+1.5
BH to their forehand · return+3.4±4.9+2.7+0.8
FH to their backhand · return+2.0±4.5−0.2+2.2
FH to the middle · serve +1+1.5±2.6+0.1+1.4
BH to their forehand · rally+1.4±4.2−0.2+1.6
BH slice to the middle · return+1.3±2.6+0.8+0.5

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return +1−14.0±4.1−3.2−10.8
FH to their forehand · rally−9.5±4.0−1.3−8.1
BH to their backhand · return−9.4±3.9−2.0−7.3
BH to their backhand · return +1−8.6±4.2−3.7−4.9
FH to their forehand · return−7.2±5.5±0.0−7.2

Petr Korda

Favour

ShotEdgeOwnTheirs
BH slice to their forehand · return+5.1±3.5+3.8+1.3
BH slice to their forehand · rally+4.9±3.1+3.0+1.9
BH to the middle · serve +1+3.1±3.0+1.4+1.7
BH slice to the middle · return+2.9±2.1+0.3+2.6
FH to their backhand · return+2.4±4.0+2.0+0.4
BH to their backhand · serve +1+1.0±2.9+1.2−0.2

Avoid

ShotEdgeOwnTheirs
BH slice to their backhand · return−6.6±2.8−6.6±0.0
BH to their forehand · return +1−5.6±5.7−1.7−3.8
FH to their forehand · return−5.2±5.3−0.2−5.0
FH to the middle · return−5.0±3.0−3.4−1.6
BH to the middle · return +1−4.7±2.5−4.2−0.6

Against Petr Korda-like opponents

Marcelo Rios vMatchesServe pts wonReturn pts won
All charted opponents–63.6%39.0%
Players most similar to Petr Korda1 55.8%22.6%
Petr Korda (charted head-to-head)1 46.5%32.5%

Similar by tactical fingerprint: Joao Fonseca, Fernando Verdasco, Jo Wilfried Tsonga, Kevin King, Gilles Muller, Tommy Haas, Ivan Ljubicic, Gustavo Kuerten, Wayne Ferreira. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head