RallyIQ

Game plan

Rebecca Peterson v Carla Suarez Navarro

Every number combines what Rebecca Peterson does well with what Carla Suarez Navarro allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Rebecca Peterson wins, best of 3 38%90%: 13%–70% · best of 5: 36%
Serve points won 55.7% / 57.9% Rebecca / Carla · tour 56.3%
Strengths only, no similarity priors 38%serve 55.7% / 57.9%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Rebecca Peterson's record against Carla Suarez Navarro'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

CareerRebeccaCarla
Direction choice−0.13 ±0.14
better than 31%
−0.14 ±0.09
better than 28%
Shot selection+0.38 ±0.23
better than 88%
−0.42 ±0.14
better than 16%
Execution−0.31 ±0.83
better than 44%
+0.22 ±0.49
better than 69%
Points left on the table2.56 ±0.22
lower than 58%
2.63 ±0.13
lower than 46%

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.

Rebecca Peterson serving

Deuce court

1st serveNowRebecca winsv CarlaMatchupOptimal
Wide48%58%69%60.9%±7.442% ▼
Body21%51%62%56.0%±10.811% ▼
T31%74%70%75.5%±7.547% ▲

Optimal v Carla Suarez Navarro: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +11.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRebecca winsv CarlaMatchupOptimal
Wide31%58%65%56.5%±9.231%
Body35%52%59%54.8%±10.020% ▼
T34%67%71%72.8%±7.749% ▲

Optimal v Carla Suarez Navarro: +1.2±1.1 per 100 first serves (faults included) over the current mix. Serving T every time would read +11.4 per 100 first serves in before the returner adjusts.

Carla Suarez Navarro serving

Deuce court

1st serveNowCarla winsv RebeccaMatchupOptimal
Wide42%62%72%68.0%±7.957% ▲
Body28%54%59%55.7%±9.113% ▼
T30%65%69%67.0%±9.330%

Optimal v Rebecca Peterson: +0.7±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowCarla winsv RebeccaMatchupOptimal
Wide23%63%66%63.1%±8.638% ▲
Body35%57%60%61.1%±10.119% ▼
T43%56%73%65.8%±9.143%

Optimal v Rebecca Peterson: +0.8±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.2 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.

Rebecca Peterson returning

1st serve to the forehand

ReturnNowTourOwnv CarlaValue
FH through the middle57%+4.2−1.1+1.6+4.7±2.6
FH crosscourt24%+5.3−2.6+3.9+6.6±4.0
FH down the line14%+1.5−1.9+0.7+0.3±4.2
FH slice crosscourt5%−6.6−0.6+0.4−6.9±2.0

Lean FH crosscourt: +2.6±3.5 per 100 returns v the current mix (139 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv CarlaValue
BH through the middle47%+6.0+1.0±0.0+7.0±2.5
BH crosscourt41%+7.7+0.9−3.5+5.1±3.4
BH down the line8%+2.2+0.1+0.5+2.8±4.1
BH slice through the middle4%−6.2+0.2+1.0−5.0±2.1

Lean BH through the middle: +1.6±1.9 per 100 returns v the current mix (150 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv CarlaValue
FH through the middle48%−3.2+1.3−0.4−2.3±2.9
FH crosscourt41%+0.5+2.5+1.2+4.2±4.3
FH down the line11%−0.6+0.1+0.5±0.0±4.4

Lean FH crosscourt: +3.6±2.9 per 100 returns v the current mix (64 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv CarlaValue
BH through the middle40%−2.6+2.3−0.6−0.9±2.5
BH crosscourt25%+1.5−1.6−2.5−2.5±3.2
FH through the middle17%−2.7+1.2−0.4−1.9±2.3
FH inside-out10%+1.4+0.8+0.5+2.7±3.6
FH inside-in8%+0.7−0.2+1.2+1.7±3.9

Lean BH through the middle: ±0.0±1.8 per 100 returns v the current mix (83 returns charted, inside the 90% margin)

Carla Suarez Navarro returning

1st serve to the forehand

ReturnNowTourOwnv RebeccaValue
FH through the middle50%+4.2+0.2+0.5+4.9±2.6
FH crosscourt18%+5.3−3.5+4.8+6.6±4.2
FH down the line13%+1.5+1.8−2.0+1.3±4.7
FH slice through the middle12%−6.7+0.1−1.6−8.2±2.3
FH slice crosscourt3%−6.6+1.5±0.0−5.1±1.8

Lean FH crosscourt: +4.3±3.7 per 100 returns v the current mix (555 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RebeccaValue
BH through the middle37%+6.0+0.3−1.1+5.2±2.6
BH slice through the middle21%−6.2−0.2±0.0−6.4±1.7
BH crosscourt18%+7.7−1.5+1.4+7.6±3.5
BH down the line10%+2.2−3.4+0.6−0.6±4.5
BH slice crosscourt9%−4.2+0.6±0.0−3.6±2.2

Lean BH crosscourt: +6.7±3.1 per 100 returns v the current mix (567 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RebeccaValue
FH through the middle48%−3.2+1.2−1.2−3.1±3.1
FH down the line27%−0.6−3.4−6.1−10.1±5.1
FH crosscourt21%+0.5±0.0+1.2+1.7±4.3
FH slice through the middle4%−15.2+0.2±0.0−15.0±1.1

Lean FH crosscourt: +6.2±4.0 per 100 returns v the current mix (120 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv RebeccaValue
BH through the middle37%−2.6+0.3+1.9−0.4±2.7
BH crosscourt27%+1.5−1.4±0.0+0.1±3.6
BH down the line10%−0.5+0.6−0.8−0.7±4.8
FH through the middle8%−2.7−0.6−1.2−4.4±2.6
FH inside-in7%+0.7+2.0+1.2+3.9±4.5

Lean FH inside-in: +5.2±4.5 per 100 returns v the current mix (345 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.

Rebecca Peterson

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+4.0±3.6+1.9+2.2
FH to their forehand · return+3.1±3.9−0.3+3.4
BH to the middle · return+2.6±2.1+2.4+0.2
BH to the middle · return +1+2.6±2.3+2.4+0.2
FH to the middle · return+2.3±2.2+0.8+1.5
BH to the middle · rally+2.0±1.8+1.0+1.0

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−6.9±3.4−5.0−1.9
BH to their backhand · return−2.4±3.1+1.1−3.6
FH to the middle · serve +1−1.5±2.4−1.3−0.2
BH to their backhand · rally−0.9±2.3−1.2+0.4
BH to their backhand · serve +1−0.9±3.2−0.2−0.6

Carla Suarez Navarro

Favour

ShotEdgeOwnTheirs
FH to their forehand · return +1+5.0±3.6+1.6+3.4
FH to their forehand · return+2.9±4.0−1.7+4.6
FH to their forehand · rally+2.7±2.5+1.3+1.4
FH to their backhand · serve +1+2.7±3.5−0.6+3.3
FH to the middle · serve +1+2.6±2.4+3.2−0.6
BH to their backhand · serve +1+2.3±3.3−0.8+3.1

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−4.8±4.1+0.2−5.0
BH to the middle · return +1−3.5±2.4−1.7−1.7
BH to their backhand · return +1−2.3±3.2−1.9−0.5
BH to the middle · rally−1.3±1.8−1.2−0.1
FH to the middle · return +1−0.4±2.5+0.5−0.9

Against Carla Suarez Navarro-like opponents

Rebecca Peterson vMatchesServe pts wonReturn pts won
All charted opponents–53.3%39.6%

Similar by tactical fingerprint: Emma Navarro, Emma Raducanu, Maria Sakkari, Paula Badosa, Varvara Gracheva, Anna Karolina Schmiedlova, Tereza Martincova, Andrea Petkovic, Dominika Cibulkova, Louisa Chirico. When two players have rarely met, their records against these lookalikes fill the gap.