RallyIQ

Game plan

Helena Sukova v Ashlyn Krueger

Every number combines what Helena Sukova does well with what Ashlyn Krueger allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Helena Sukova wins, best of 3 29%90%: 8%–63% · best of 5: 25%
Serve points won 56.3% / 60.6% Helena / Ashlyn · tour 56.3%
Strengths only, no similarity priors 29%serve 56.3% / 60.6%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerHelenaAshlyn
Direction choice+0.12 ±0.30
better than 76%
+0.02 ±0.08
better than 57%
Shot selection+0.20 ±0.33
better than 66%
+0.13 ±0.12
better than 59%
Execution−1.46 ±0.74
better than 11%
−0.34 ±0.51
better than 40%

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.

Helena Sukova serving

Deuce court

1st serveNowHelena winsv AshlynMatchupOptimal
Wide44%68%66%67.8%±8.854% ▲
Body10%57%59%58.2%±13.50% ▼
T46%61%69%61.7%±10.246%

Optimal v Ashlyn Krueger: +0.3±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowHelena winsv AshlynMatchupOptimal
Wide45%61%65%60.2%±9.830% ▼
Body9%66%59%69.2%±13.29%
T46%71%63%70.3%±9.761% ▲

Optimal v Ashlyn Krueger: +0.4±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.7 per 100 first serves in before the returner adjusts.

Ashlyn Krueger serving

Deuce court

1st serveNowAshlyn winsv HelenaMatchupOptimal
Wide34%61%65%60.3%±9.734%
Body27%54%61%57.2%±11.712% ▼
T39%76%75%81.7%±6.654% ▲

Optimal v Helena Sukova: +1.8±1.2 per 100 first serves (faults included) over the current mix. Serving T every time would read +14.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAshlyn winsv HelenaMatchupOptimal
Wide31%66%65%65.2%±8.932%
Body18%52%55%50.6%±14.02% ▼
T51%68%68%72.1%±9.266% ▲

Optimal v Helena Sukova: +1.4±1.2 per 100 first serves (faults included) over the current mix. Serving T every time would read +5.9 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.

Helena Sukova returning

1st serve to the forehand

ReturnNowTourOwnv AshlynValue
FH through the middle33%+4.2−2.5+1.7+3.3±2.8
FH crosscourt26%+5.3+1.3+0.9+7.5±4.3
FH down the line21%+1.5+1.7−2.8+0.4±4.3
FH slice through the middle15%−6.7+0.9−1.0−6.7±2.4
FH slice down the line5%−10.5+0.4−0.4−10.5±2.3

Lean FH crosscourt: +5.8±3.4 per 100 returns v the current mix (102 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AshlynValue
BH slice through the middle37%−6.2+1.4−2.8−7.6±2.5
BH slice down the line20%−12.5+3.4−0.2−9.2±2.9
BH slice crosscourt17%−4.2+2.6+1.3−0.3±2.9
BH through the middle14%+6.0−0.8+0.1+5.4±2.6
BH crosscourt7%+7.7−1.4−2.2+4.1±3.2

Lean BH through the middle: +8.8±2.5 per 100 returns v the current mix (175 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AshlynValue
FH crosscourt40%+0.5+1.6−2.1+0.1±4.2
FH down the line33%−0.6+1.2−4.9−4.2±4.8
FH through the middle28%−3.2−2.2+0.1−5.3±2.6

Lean FH crosscourt: +2.9±3.1 per 100 returns v the current mix (43 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AshlynValue
BH slice crosscourt31%−7.5−0.5±0.0−8.0±1.9
BH slice through the middle29%−11.7+0.2±0.0−11.4±1.6
BH slice down the line21%−10.6+0.4±0.0−10.2±2.6
FH inside-out10%+1.4−1.1−4.9−4.6±3.6
BH down the line9%−0.5+1.5−2.0−1.0±4.3

Lean BH slice crosscourt: +0.5±1.6 per 100 returns v the current mix (70 returns charted, inside the 90% margin)

Ashlyn Krueger returning

1st serve to the forehand

ReturnNowTourOwnv HelenaValue
FH through the middle44%+4.2−2.4+0.6+2.3±2.9
FH crosscourt32%+5.3−0.8+1.3+5.8±3.9
FH slice through the middle11%−6.7+0.6+1.3−4.8±2.2
FH down the line8%+1.5−0.2+1.4+2.8±4.5
FH slice crosscourt5%−6.6+1.0±0.0−5.6±1.8

Lean FH crosscourt: +3.5±3.0 per 100 returns v the current mix (422 returns charted)

1st serve to the backhand

ReturnNowTourOwnv HelenaValue
BH through the middle45%+6.0+0.7−2.4+4.3±2.8
BH crosscourt26%+7.7+2.3+0.9+10.9±3.4
BH slice through the middle14%−6.2+1.4−0.7−5.5±2.6
BH down the line8%+2.2+1.4−1.2+2.3±3.9
BH slice crosscourt4%−4.2+0.5+2.2−1.5±2.8

Lean BH crosscourt: +7.0±2.8 per 100 returns v the current mix (337 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv HelenaValue
FH crosscourt47%+0.5+4.7+1.1+6.3±4.4
FH through the middle47%−3.2−0.3−0.9−4.4±3.1
FH down the line6%−0.6−1.0+0.5−1.1±4.3

Lean FH crosscourt: +5.5±2.8 per 100 returns v the current mix (81 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv HelenaValue
BH through the middle50%−2.6−1.7+0.5−3.8±2.6
BH crosscourt34%+1.5−0.9+1.9+2.5±3.5
BH down the line16%−0.5+0.1−0.7−1.1±4.5

Lean BH crosscourt: +3.7±2.7 per 100 returns v the current mix (135 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.

Helena Sukova

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+1.5±4.4+2.1−0.6
FH to the middle · return−2.1±2.6−3.0+0.9

Avoid

ShotEdgeOwnTheirs
FH to the middle · return−2.1±2.6−3.0+0.9
FH to their forehand · return+1.5±4.4+2.1−0.6

Ashlyn Krueger

Favour

ShotEdgeOwnTheirs
FH to the middle · return−2.2±2.7−1.2−1.1
BH to the middle · return−3.2±2.5−1.9−1.3
FH to their forehand · rally−3.5±3.4−1.4−2.1

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−3.5±3.4−1.4−2.1
BH to the middle · return−3.2±2.5−1.9−1.3
FH to the middle · return−2.2±2.7−1.2−1.1

Against Ashlyn Krueger-like opponents

Helena Sukova vMatchesServe pts wonReturn pts won
All charted opponents–55.4%36.8%

Similar by tactical fingerprint: Alexandra Eala, Jessica Pegula, Jasmine Paolini, Shuai Zhang, Katerina Siniakova, Elisabetta Cocciaretto, Veronika Kudermetova, Anett Kontaveit, R, Dominika Cibulkova. When two players have rarely met, their records against these lookalikes fill the gap.