RallyIQ

Game plan

Maja Chwalinska v Sofia Kenin

Every number combines what Maja Chwalinska does well with what Sofia Kenin allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Maja Chwalinska wins, best of 3 65%90%: 33%–89% · best of 5: 68%
Serve points won 59.0% / 56.0% Maja / Sofia · tour 56.3%
Strengths only, no similarity priors 65%serve 59.0% / 56.0%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerMajaSofia
Direction choice−0.08 ±0.06
better than 40%
+0.21 ±0.05
better than 86%
Shot selection−0.52 ±0.28
better than 11%
−0.43 ±0.07
better than 14%
Execution+2.12 ±0.53
better than 99%
+0.04 ±0.37
better than 63%
Points left on the table2.93 ±0.10
lower than 14%
2.39 ±0.07
lower than 77%

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.

Structural compatibility

Expected edge per 100 rally shots from style alone: Maja Chwalinska +1.60, Sofia Kenin −0.55. Each player's shot mix weighted by their own skill with each shot and by how much the other gives up against it. This is why some rankings gaps don't hold in a given matchup.

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.

Maja Chwalinska serving

Deuce court

1st serveNowMaja winsv SofiaMatchupOptimal
Wide26%62%70%65.9%±8.026%
Body28%55%56%54.4%±8.613% ▼
T46%65%78%75.2%±5.961% ▲

Optimal v Sofia Kenin: +1.2±1.0 per 100 first serves (faults included) over the current mix. Serving T every time would read +8.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMaja winsv SofiaMatchupOptimal
Wide53%60%72%67.2%±6.452%
Body22%53%57%53.7%±9.87% ▼
T26%67%69%71.1%±8.241% ▲

Optimal v Sofia Kenin: +0.9±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.8 per 100 first serves in before the returner adjusts.

Sofia Kenin serving

Deuce court

1st serveNowSofia winsv MajaMatchupOptimal
Wide47%67%58%58.6%±6.862% ▲
Body11%56%57%55.0%±9.52% ▼
T42%64%62%57.1%±8.536% ▼

Optimal v Maja Chwalinska: +0.2±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowSofia winsv MajaMatchupOptimal
Wide48%63%59%56.0%±8.942% ▼
Body10%53%53%49.6%±9.90% ▼
T43%65%58%58.3%±7.258% ▲

Optimal v Maja Chwalinska: +0.6±0.9 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.

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.

Maja Chwalinska returning

1st serve to the forehand

ReturnNowTourOwnv SofiaValue
FH through the middle41%+4.2+3.2−0.2+7.2±2.5
FH crosscourt21%+5.3+3.3−3.4+5.2±3.6
FH slice through the middle17%−6.7+1.6+1.2−4.0±2.2
FH down the line14%+1.5+1.1+1.0+3.6±3.6
FH slice crosscourt7%−6.6+1.5−1.9−7.0±2.4

Lean FH through the middle: +3.8±1.8 per 100 returns v the current mix (111 returns charted)

1st serve to the backhand

ReturnNowTourOwnv SofiaValue
BH through the middle43%+6.0+1.2+1.4+8.6±2.2
BH crosscourt33%+7.7+2.4+1.3+11.5±3.2
BH down the line16%+2.2+3.6+0.1+5.8±3.8
BH slice through the middle3%−6.2−0.5−1.4−8.2±2.1
BH slice crosscourt3%−4.2+0.1−1.4−5.5±2.5

Lean BH crosscourt: +3.7±2.4 per 100 returns v the current mix (236 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv SofiaValue
BH through the middle31%−2.6+1.6−0.1−1.2±2.2
BH crosscourt29%+1.5±0.0−0.3+1.2±3.2
FH through the middle18%−2.7−1.1−0.6−4.4±2.3
BH down the line11%−0.5−1.3±0.0−1.8±3.9
FH inside-in5%+0.7+0.5−0.3+1.0±3.8

Lean BH crosscourt: +2.1±2.5 per 100 returns v the current mix (110 returns charted, inside the 90% margin)

Sofia Kenin returning

1st serve to the forehand

ReturnNowTourOwnv MajaValue
FH through the middle38%+4.2−0.7+0.2+3.6±2.5
FH crosscourt29%+5.3−0.4+2.7+7.6±3.7
FH slice through the middle14%−6.7+1.0−1.2−7.0±1.9
FH down the line12%+1.5−5.1+3.2−0.4±4.4
FH slice crosscourt4%−6.6−1.5+1.0−7.1±2.5

Lean FH crosscourt: +5.6±2.9 per 100 returns v the current mix (1287 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MajaValue
BH crosscourt38%+7.7−1.8+1.3+7.3±3.1
BH through the middle37%+6.0−1.8+2.1+6.4±2.3
BH slice through the middle9%−6.2−1.5+0.6−7.1±2.2
BH down the line8%+2.2−1.1+2.7+3.8±4.6
BH slice crosscourt6%−4.2−2.2±0.0−6.3±2.2

Lean BH crosscourt: +3.4±2.1 per 100 returns v the current mix (887 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MajaValue
FH crosscourt51%+0.5+3.7+0.4+4.6±3.9
FH through the middle41%−3.2−1.6−1.2−5.9±2.9
FH down the line8%−0.6−1.4−1.4−3.4±5.0

Lean FH crosscourt: +5.0±2.3 per 100 returns v the current mix (395 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MajaValue
BH crosscourt52%+1.5−1.4−0.1±0.0±3.2
BH through the middle35%−2.6−1.2+1.4−2.4±2.6
BH down the line10%−0.5+1.0−1.4−1.0±4.9
BH slice through the middle1%−11.7−0.8±0.0−12.5±1.1
BH slice crosscourt1%−7.5−0.8±0.0−8.3±1.3

Lean BH crosscourt: +1.2±1.8 per 100 returns v the current mix (546 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.

Maja Chwalinska

Favour

ShotEdgeOwnTheirs
BH to their forehand · return+5.0±3.7+4.5+0.5
BH to their forehand · serve +1+4.8±4.2+3.9+0.9
FH to their backhand · return +1+4.2±3.6+3.9+0.3
BH to the middle · return+4.0±1.9+3.3+0.7
BH to their backhand · rally+4.0±2.5+3.6+0.3
FH to the middle · serve +1+3.9±2.2+2.7+1.2

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return +1−1.4±3.3+0.1−1.5
FH to the middle · return +1−1.0±2.3+0.2−1.2
FH to their backhand · serve +1−0.4±3.2−1.7+1.3
BH slice to the middle · rally+0.2±2.0+0.8−0.6
FH to their backhand · rally+0.2±2.4+0.8−0.5

Sofia Kenin

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+3.6±3.6+1.7+1.9
BH to their forehand · return +1+3.5±4.3−0.1+3.6
BH to their forehand · rally+1.8±3.1+2.3−0.5
BH to their backhand · serve +1+1.7±3.0−0.3+2.0
BH to their backhand · return +1+1.4±2.9+1.3+0.1
BH to the middle · return+1.2±1.9−1.8+3.0

Avoid

ShotEdgeOwnTheirs
BH to their forehand · serve +1−4.2±4.0−1.1−3.1
BH to their backhand · rally−3.5±2.2−1.5−2.0
FH to their forehand · serve +1−2.5±3.0−0.7−1.8
FH to their backhand · serve +1−2.3±3.2−3.0+0.7
FH to the middle · rally−2.2±1.9−0.5−1.7

Against Sofia Kenin-like opponents

Maja Chwalinska vMatchesServe pts wonReturn pts won
All charted opponents–58.7%49.2%

Similar by tactical fingerprint: Antonia Ruzic, Linda Noskova, Barbora Krejcikova, Clara Tauson, Aliaksandra Sasnovich, Anastasija Sevastova, Su Wei Hsieh, Anett Kontaveit, Johanna Konta, Elena Vesnina. When two players have rarely met, their records against these lookalikes fill the gap.