RallyIQ

Game plan

Suzan Lamens v Rebecca Peterson

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

Forecast

Suzan Lamens wins, best of 3 74%90%: 47%–92% · best of 5: 79%
Serve points won 59.5% / 54.5% Suzan / Rebecca · tour 56.4%
Strengths only, no similarity priors 71%serve 59.2% / 54.9%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Suzan Lamens's record against Rebecca Peterson's tactical lookalikes and in their charted head-to-heads (lookalikes: +4.0 on serve, +3.5 on return vs expectation (283 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

CareerSuzanRebecca
Direction choice−0.13 ±0.09
better than 29%
−0.13 ±0.14
better than 31%
Shot selection+0.27 ±0.13
better than 75%
+0.38 ±0.23
better than 88%
Execution−0.34 ±0.45
better than 41%
−0.31 ±0.83
better than 44%
Points left on the table2.63 ±0.13
lower than 47%
2.56 ±0.22
lower than 58%

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.

Suzan Lamens serving

Deuce court

1st serveNowSuzan winsv RebeccaMatchupOptimal
Wide38%67%72%72.5%±7.553% ▲
Body19%57%59%58.4%±9.64% ▼
T43%73%69%74.4%±8.043%

Optimal v Rebecca Peterson: +1.0±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowSuzan winsv RebeccaMatchupOptimal
Wide42%71%66%71.2%±7.254% ▲
Body21%60%60%63.7%±10.46% ▼
T37%66%73%74.8%±8.040% ▲

Optimal v Rebecca Peterson: +0.8±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.9 per 100 first serves in before the returner adjusts.

Rebecca Peterson serving

Deuce court

1st serveNowRebecca winsv SuzanMatchupOptimal
Wide48%58%63%54.5%±7.939% ▼
Body21%51%57%51.5%±10.114% ▼
T31%74%62%68.7%±8.947% ▲

Optimal v Suzan Lamens: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +10.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRebecca winsv SuzanMatchupOptimal
Wide31%58%59%51.1%±9.631%
Body35%52%52%47.7%±9.120% ▼
T34%67%62%63.9%±9.249% ▲

Optimal v Suzan Lamens: +1.1±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +9.7 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.

Suzan Lamens returning

1st serve to the forehand

ReturnNowTourOwnv RebeccaValue
FH through the middle47%+4.2+2.0+0.5+6.7±2.7
FH down the line21%+1.5−0.1−2.0−0.6±4.6
FH crosscourt19%+5.3+0.1+4.8+10.2±4.3
FH slice through the middle9%−6.7−1.0−1.6−9.3±2.3
FH slice down the line3%−10.5−1.5±0.0−12.0±2.0

Lean FH crosscourt: +6.5±3.8 per 100 returns v the current mix (435 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RebeccaValue
BH through the middle48%+6.0+0.8−1.1+5.7±2.6
BH crosscourt32%+7.7+1.2+1.4+10.3±3.5
BH down the line11%+2.2−0.1+0.6+2.7±4.5
BH slice through the middle5%−6.2−1.8±0.0−8.1±1.6
BH slice crosscourt2%−4.2−0.6±0.0−4.8±1.6

Lean BH crosscourt: +4.6±2.7 per 100 returns v the current mix (425 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RebeccaValue
FH through the middle47%−3.2+1.0−1.2−3.4±3.1
FH crosscourt27%+0.5+0.8+1.2+2.5±4.3
FH down the line20%−0.6−3.5−6.1−10.2±4.9
FH slice through the middle5%−15.2−0.2±0.0−15.4±1.1

Lean FH crosscourt: +6.3±3.6 per 100 returns v the current mix (99 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv RebeccaValue
BH through the middle44%−2.6−0.3+1.9−1.0±2.7
BH crosscourt34%+1.5−0.5±0.0+1.0±3.6
BH down the line9%−0.5−2.8−0.8−4.1±4.6
FH through the middle6%−2.7−0.2−1.2−4.1±2.5
FH inside-out4%+1.4−1.0−6.1−5.8±3.6

Lean BH crosscourt: +1.9±2.7 per 100 returns v the current mix (257 returns charted, inside the 90% margin)

Rebecca Peterson returning

1st serve to the forehand

ReturnNowTourOwnv SuzanValue
FH through the middle57%+4.2−1.1−1.4+1.7±2.7
FH crosscourt24%+5.3−2.6−1.0+1.7±4.3
FH down the line14%+1.5−1.9−2.4−2.8±4.2
FH slice crosscourt5%−6.6−0.6+1.0−6.2±2.2

Lean FH crosscourt: +1.1±3.7 per 100 returns v the current mix (139 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv SuzanValue
BH through the middle47%+6.0+1.0+0.6+7.6±2.6
BH crosscourt41%+7.7+0.9−2.3+6.3±3.5
BH down the line8%+2.2+0.1+1.1+3.4±4.2
BH slice through the middle4%−6.2+0.2−1.3−7.4±2.1

Lean BH through the middle: +1.5±2.0 per 100 returns v the current mix (150 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv SuzanValue
FH through the middle48%−3.2+1.3−1.0−2.9±2.8
FH crosscourt41%+0.5+2.5−0.7+2.3±4.3
FH down the line11%−0.6+0.1−0.2−0.6±4.3

Lean FH crosscourt: +2.8±2.9 per 100 returns v the current mix (64 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv SuzanValue
BH through the middle40%−2.6+2.3−0.8−1.1±2.7
BH crosscourt25%+1.5−1.6−0.4−0.4±3.4
FH through the middle17%−2.7+1.2−1.0−2.5±2.2
FH inside-out10%+1.4+0.8−0.2+2.0±3.6
FH inside-in8%+0.7−0.2−0.7−0.2±3.9

Lean BH crosscourt: +0.4±2.8 per 100 returns v the current mix (83 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 hard. Each player's hard record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Suzan Lamens

Favour

ShotEdgeOwnTheirs
FH to their forehand · return +1+6.8±4.9+3.4+3.3
BH to their backhand · serve +1+5.5±5.1+0.2+5.3
FH to their forehand · return+4.4±5.8−0.7+5.1
BH to the middle · return+3.9±2.9+1.8+2.1
BH to their backhand · rally+3.8±3.2+1.1+2.7
FH to the middle · return+3.6±3.1+3.2+0.4

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−8.2±5.9−3.1−5.1
BH to the middle · return +1−1.7±3.4+1.2−2.9
FH to the middle · serve +1−1.6±3.5−1.0−0.6
FH to the middle · return +1−0.8±3.7−0.3−0.6
BH to their backhand · return +1−0.5±4.6+1.2−1.7

Rebecca Peterson

Favour

ShotEdgeOwnTheirs
BH to the middle · return+6.2±3.1+3.8+2.3
BH to the middle · return +1+5.4±3.6+3.7+1.7
FH to the middle · return +1+3.5±3.8+1.9+1.6
BH to their forehand · rally+3.4±6.1+3.3+0.1
BH to the middle · rally+3.0±2.4+1.9+1.1
BH to their backhand · return +1+1.8±4.8−0.5+2.3

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−6.1±4.8−5.3−0.8
FH to their forehand · return +1−4.7±5.1−1.3−3.5
FH to their backhand · rally−1.9±3.8−1.4−0.6
FH to their forehand · return−1.8±5.7−0.6−1.2
FH to the middle · serve +1−1.6±3.2−1.0−0.6

Against Rebecca Peterson-like opponents

Suzan Lamens vMatchesServe pts wonReturn pts won
All charted opponents–58.6%45.4%
Players most similar to Rebecca Peterson2 63.0%48.0%

Similar by tactical fingerprint: Tamara Zidansek, Emma Navarro, Maria Sakkari, Yafan Wang, Nao Hibino, Lucia Bronzetti, Tereza Martincova, Andrea Petkovic, Carla Suarez Navarro. When two players have rarely met, their records against these lookalikes fill the gap.