RallyIQ

Game plan

Elena Gabriela Ruse v Ana Konjuh

Every number combines what Elena Gabriela Ruse does well with what Ana Konjuh allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Elena Gabriela Ruse wins, best of 3 53%90%: 21%–83% · best of 5: 54%
Serve points won 56.5% / 55.9% Elena / Ana · tour 56.3%
Strengths only, no similarity priors 53%serve 56.5% / 55.9%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Elena Gabriela Ruse's record against Ana Konjuh'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

CareerElenaAna
Direction choice+0.07 ±0.12
better than 68%
+0.09 ±0.13
better than 71%
Shot selection+0.17 ±0.22
better than 61%
−0.23 ±0.24
better than 26%
Execution−1.82 ±0.59
better than 6%
−1.90 ±0.91
better than 5%
Points left on the table2.36 ±0.17
lower than 79%
2.35 ±0.23
lower than 80%

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.

Elena Gabriela Ruse serving

Deuce court

1st serveNowElena winsv AnaMatchupOptimal
Wide47%64%67%65.3%±9.640% ▼
Body16%60%64%65.9%±11.812% ▼
T37%69%75%75.2%±9.648% ▲

Optimal v Ana Konjuh: ±0.0±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowElena winsv AnaMatchupOptimal
Wide35%61%72%67.2%±10.850% ▲
Body11%48%56%48.3%±13.30% ▼
T54%65%61%61.8%±10.150% ▼

Optimal v Ana Konjuh: +0.6±1.1 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.

Ana Konjuh serving

Deuce court

1st serveNowAna winsv ElenaMatchupOptimal
Wide37%74%68%75.1%±8.649% ▲
Body19%56%55%54.2%±12.94% ▼
T44%77%72%80.2%±8.347% ▲

Optimal v Elena Gabriela Ruse: +1.0±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAna winsv ElenaMatchupOptimal
Wide27%59%70%63.7%±12.138% ▲
Body24%56%53%53.0%±11.79% ▼
T49%60%63%58.0%±10.453% ▲

Optimal v Elena Gabriela Ruse: +0.7±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.4 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.

Elena Gabriela Ruse returning

1st serve to the forehand

ReturnNowTourOwnv AnaValue
FH through the middle50%+4.2−1.7−0.9+1.6±3.1
FH crosscourt22%+5.3+1.7−3.8+3.2±4.2
FH down the line16%+1.5−3.5±0.0−1.9±4.6
FH slice through the middle10%−6.7−1.4+1.0−7.1±2.4
FH slice crosscourt3%−6.6−1.5±0.0−8.2±1.9

Lean FH crosscourt: +2.9±3.7 per 100 returns v the current mix (187 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv AnaValue
BH through the middle50%+6.0−0.6+0.6+6.0±2.9
BH crosscourt20%+7.7−2.4−0.9+4.4±3.6
BH down the line20%+2.2+0.5−2.1+0.6±4.4
BH slice down the line5%−12.5−0.8+0.9−12.3±2.2
BH slice through the middle5%−6.2−1.0+0.2−7.0±1.8

Lean BH through the middle: +3.0±1.8 per 100 returns v the current mix (121 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AnaValue
FH through the middle49%−3.2+1.2−1.3−3.3±3.0
FH crosscourt36%+0.5−0.3−1.0−0.7±4.2
FH down the line15%−0.6±0.0+3.4+2.8±4.2

Lean FH crosscourt: +0.7±3.1 per 100 returns v the current mix (53 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AnaValue
BH through the middle48%−2.6−1.4−0.1−4.1±2.8
BH crosscourt37%+1.5−2.6−2.5−3.6±3.5
BH down the line16%−0.5+1.3−1.6−0.9±4.7

Lean BH crosscourt: −0.2±2.7 per 100 returns v the current mix (82 returns charted, inside the 90% margin)

Ana Konjuh returning

1st serve to the forehand

ReturnNowTourOwnv ElenaValue
FH through the middle35%+4.2−0.4+0.9+4.7±3.1
FH crosscourt25%+5.3+1.2−2.1+4.5±4.4
FH down the line17%+1.5+1.1+1.1+3.7±4.7
FH slice through the middle15%−6.7−0.5+1.3−5.9±2.5
FH slice crosscourt7%−6.6−0.2−0.1−6.9±2.1

Lean FH through the middle: +2.7±2.5 per 100 returns v the current mix (170 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ElenaValue
BH through the middle52%+6.0+2.3−1.2+7.1±2.9
BH crosscourt27%+7.7+0.2+0.1+8.0±3.6
BH slice through the middle13%−6.2−1.4+1.6−6.1±2.0
BH down the line8%+2.2+0.1−2.2+0.1±3.9

Lean BH crosscourt: +3.0±3.1 per 100 returns v the current mix (104 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv ElenaValue
FH through the middle45%−3.2−1.8+2.4−2.6±2.9
FH crosscourt33%+0.5+1.9+4.3+6.8±3.6
FH down the line23%−0.6+1.9−1.3+0.1±4.3

Lean FH through the middle: −3.6±2.2 per 100 returns v the current mix (40 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv ElenaValue
BH through the middle56%−2.6±0.0+2.2−0.5±2.6
BH crosscourt22%+1.5−1.9−0.7−1.1±3.1
BH down the line22%−0.5+0.7−1.1−1.0±4.6

Lean BH through the middle: +0.3±1.7 per 100 returns v the current mix (41 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.

Elena Gabriela Ruse

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+1.7±4.3+0.1+1.6
BH to the middle · serve +1+0.3±2.6−0.7+1.0
FH to their forehand · rally−0.4±3.5−0.8+0.5
BH to the middle · return−0.9±2.5−0.7−0.3
BH to their forehand · serve +1−1.6±4.9−0.7−0.8
FH to the middle · rally−1.9±2.7−2.3+0.4

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−6.5±4.4−1.7−4.8
BH to their backhand · return−6.2±3.7−4.1−2.1
BH to the middle · rally−5.1±2.4−3.0−2.1
BH to their backhand · rally−4.6±3.2−2.3−2.2
FH to their backhand · rally−3.9±4.2−3.4−0.5

Ana Konjuh

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+1.4±4.4−1.1+2.5
BH to their backhand · return +1+1.2±3.6−0.7+1.9
BH to their backhand · serve +1+1.1±3.7+0.3+0.9
FH to their forehand · return +1+0.5±4.1+0.2+0.3
BH to their backhand · rally+0.3±3.2−0.2+0.5
FH to the middle · return+0.1±2.9−2.2+2.2

Avoid

ShotEdgeOwnTheirs
FH to the middle · rally−7.5±2.6−6.5−1.0
FH to their forehand · rally−6.0±3.5−4.3−1.7
FH to their backhand · rally−5.3±4.2−5.5+0.3
BH to their forehand · rally−5.2±4.8−5.3+0.1
BH to their backhand · return−2.7±3.4−1.5−1.2

Against Ana Konjuh-like opponents

Elena Gabriela Ruse vMatchesServe pts wonReturn pts won
All charted opponents–52.2%43.1%

Similar by tactical fingerprint: Naomi Osaka, Ashlyn Krueger, Talia Gibson, Clara Tauson, Katerina Siniakova, Veronika Kudermetova, Arianne Hartono, Caroline Garcia, Sabine Lisicki. When two players have rarely met, their records against these lookalikes fill the gap.