RallyIQ

Game plan

Roger Federer v Feliciano Lopez

Every number combines what Roger Federer does well with what Feliciano Lopez allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Roger Federer wins, best of 3 90%90%: 78%–96% · best of 5: 94%
Serve points won 74.7% / 63.9% Roger / Feliciano · tour 63.4%
Strengths only, no similarity priors 91%serve 73.9% / 62.7%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Roger Federer's record against Feliciano Lopez's tactical lookalikes and in their charted head-to-heads (lookalikes: +1.0 on serve, −1.5 on return vs expectation (6220 points); head-to-head: +0.5 on serve, −0.5 on return vs expectation (982 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

CareerRogerFeliciano
Direction choice+0.04 ±0.02
better than 68%
−0.05 ±0.07
better than 44%
Shot selection+0.18 ±0.03
better than 72%
−0.69 ±0.13
better than 6%
Execution+0.08 ±0.09
better than 72%
−2.05 ±0.46
better than 3%
Points left on the table2.74 ±0.04
lower than 35%
3.52 ±0.13
lower than 8%

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.

Roger Federer serving

Deuce court

1st serveNowRoger winsv FelicianoMatchupOptimal
Wide46%76%76%79.7%±2.441% ▼
Body8%68%68%73.0%±5.00% ▼
T46%81%81%86.1%±2.059% ▲

Optimal v Feliciano Lopez: +0.5±0.4 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRoger winsv FelicianoMatchupOptimal
Wide56%78%82%86.4%±2.169% ▲
Body6%64%68%69.2%±5.80% ▼
T38%76%75%78.7%±2.731% ▼

Optimal v Feliciano Lopez: +1.2±0.4 per 100 first serves (faults included) over the current mix. Serving wide every time would read +3.9 per 100 first serves in before the returner adjusts.

Feliciano Lopez serving

Deuce court

1st serveNowFeliciano winsv RogerMatchupOptimal
Wide40%80%69%77.0%±3.353% ▲
Body11%69%63%68.5%±5.30% ▼
T49%74%70%68.8%±3.047% ▼

Optimal v Roger Federer: +0.1±0.5 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowFeliciano winsv RogerMatchupOptimal
Wide49%80%68%76.2%±2.962% ▲
Body9%69%61%67.2%±6.20% ▼
T42%82%67%78.0%±3.338% ▼

Optimal v Roger Federer: +0.5±0.5 per 100 first serves (faults included) over the current mix. Serving T every time would read +1.8 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.

Roger Federer returning

1st serve to the forehand

ReturnNowTourOwnv FelicianoValue
FH through the middle49%+4.3+0.3−4.8−0.2±1.6
FH down the line25%+1.7−0.4−5.2−3.9±3.1
FH crosscourt17%+5.5−0.6+0.1+5.0±2.9
FH slice through the middle5%−4.2+2.8−3.1−4.5±1.8
FH slice down the line2%−4.3+1.9−1.8−4.2±2.8
BH inside-in0%+7.7−1.6+3.9+10.0±3.6

Lean BH inside-in: +10.5±3.8 per 100 returns v the current mix (11918 returns charted)

1st serve to the backhand

ReturnNowTourOwnv FelicianoValue
BH slice through the middle26%−4.2+2.2−1.7−3.7±1.4
BH through the middle25%+6.4−0.8−0.4+5.3±1.4
BH slice crosscourt23%+0.5+3.3+1.3+5.1±2.2
BH crosscourt14%+8.8−2.0+3.9+10.7±2.4
BH down the line8%+4.2+1.0−2.7+2.5±3.0

Lean BH crosscourt: +8.1±2.2 per 100 returns v the current mix (16185 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv FelicianoValue
FH through the middle45%−3.5+0.5−1.3−4.2±1.7
FH down the line28%−1.8+1.2−5.0−5.5±3.6
FH crosscourt20%−0.2−1.5+0.3−1.4±3.4
BH slice through the middle2%−6.9+1.5−2.3−7.7±2.2
BH through the middle1%+0.1+0.3−0.7−0.3±1.7

Lean BH through the middle: +3.8±2.2 per 100 returns v the current mix (3030 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv FelicianoValue
BH slice crosscourt25%−4.0+1.4−0.1−2.8±1.9
BH through the middle22%−2.9−1.4−0.7−5.0±1.1
BH slice through the middle16%−11.3+1.0−2.3−12.6±1.7
BH crosscourt14%+1.0−2.3−3.6−4.9±1.9
BH down the line8%−0.2−0.3−1.8−2.4±3.4
FH inside-in4%+0.6+0.6+0.3+1.4±3.5

Lean FH inside-in: +6.8±3.4 per 100 returns v the current mix (11907 returns charted)

Feliciano Lopez returning

1st serve to the forehand

ReturnNowTourOwnv RogerValue
FH through the middle39%+4.3−2.1−0.9+1.3±1.6
FH crosscourt31%+5.5−0.8−2.0+2.7±2.5
FH slice through the middle13%−4.2+0.7−0.4−4.0±1.7
FH down the line10%+1.7−5.6−0.8−4.7±3.3
FH slice crosscourt6%−4.3+2.1−0.4−2.6±2.4

Lean FH crosscourt: +2.6±1.9 per 100 returns v the current mix (789 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RogerValue
BH slice through the middle45%−4.2±0.0−0.8−5.0±1.1
BH slice crosscourt24%+0.5−4.0−1.9−5.4±1.9
BH through the middle11%+6.4−1.1−1.4+3.9±1.9
BH slice down the line10%−8.4+2.4±0.0−6.1±2.5
BH crosscourt5%+8.8−7.2−3.0−1.4±2.7

Lean BH through the middle: +7.7±1.9 per 100 returns v the current mix (1039 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RogerValue
FH through the middle49%−3.5−2.4−1.3−7.2±1.8
FH crosscourt32%−0.2−2.9−1.4−4.6±3.1
FH down the line13%−1.8−4.7−1.5−8.1±3.6
FH slice through the middle4%−12.7−1.6−0.1−14.4±2.0
FH slice crosscourt2%−12.5+0.3−1.3−13.4±2.5

Lean FH crosscourt: +2.2±2.3 per 100 returns v the current mix (325 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv RogerValue
BH slice through the middle34%−11.3+0.7−1.9−12.5±1.7
BH slice crosscourt20%−4.0−3.5−4.9−12.4±2.4
BH through the middle17%−2.9−1.8−0.7−5.3±1.8
BH crosscourt9%+1.0−0.8−1.0−0.9±2.5
BH slice down the line7%−9.3+2.3−2.5−9.5±3.4

Lean BH crosscourt: +7.8±2.4 per 100 returns v the current mix (513 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.

Roger Federer

Favour

ShotEdgeOwnTheirs
BH slice to their forehand · rally+3.5±2.2+2.1+1.4
FH to their backhand · return +1+2.7±2.1+1.2+1.5
BH to their forehand · return +1+1.8±2.8+0.2+1.6
BH to their forehand · serve +1+1.7±3.0+0.8+0.9
BH slice to their forehand · return+1.7±2.6+0.9+0.8
FH to their forehand · serve +1+1.5±1.7+2.7−1.1

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return−6.3±2.9+0.1−6.3
FH volley to their forehand · rally−5.9±4.4+1.9−7.8
BH slice to their backhand · return +1−4.1±2.0+0.9−5.1
BH slice to their backhand · return−4.1±1.9+1.4−5.5
FH to the middle · return−3.7±1.2+0.5−4.2

Feliciano Lopez

Favour

ShotEdgeOwnTheirs
BH volley to the middle · rally+1.7±4.6+3.8−2.1
BH slice to their backhand · return +1+0.3±1.7+1.2−0.9
FH volley to their backhand · rally±0.0±4.5+4.2−4.3
BH slice to their forehand · return−0.4±2.0+2.2−2.6
BH slice to the middle · serve +1−0.7±2.2+1.5−2.3
FH slice to their backhand · return−0.8±2.5+0.1−0.9

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return−9.5±2.8−8.8−0.8
FH volley to their forehand · rally−8.7±4.2−6.2−2.5
BH to their forehand · serve +1−8.4±3.5−4.6−3.7
BH to their forehand · rally−7.0±2.3−4.3−2.7
FH to their forehand · serve +1−6.4±1.8−2.9−3.6

Against Feliciano Lopez-like opponents

Roger Federer vMatchesServe pts wonReturn pts won
All charted opponents–69.4%39.1%
Players most similar to Feliciano Lopez33 70.7%36.7%
Feliciano Lopez (charted head-to-head)6 74.4%36.9%

Similar by tactical fingerprint: Ethan Quinn, Grigor Dimitrov, Stan Wawrinka, Christopher Oconnell, James Duckworth, Malek Jaziri, Tim Van Rijthoven, Sergiy Stakhovsky, Tommy Haas. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head