RallyIQ

Game plan

Dayana Yastremska v Linda Noskova

Every number combines what Dayana Yastremska does well with what Linda Noskova allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Dayana Yastremska wins, best of 3 36%90%: 14%–65% · best of 5: 33%
Serve points won 57.4% / 60.1% Dayana / Linda · tour 56.3%
Strengths only, no similarity priors 39%serve 57.3% / 59.5%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Dayana Yastremska's record against Linda Noskova's tactical lookalikes and in their charted head-to-heads (lookalikes: −1.1 on serve, −3.7 on return vs expectation (655 points); head-to-head: +8.9 on serve, +2.1 on return vs expectation (116 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

CareerDayanaLinda
Direction choice−0.06 ±0.08
better than 43%
+0.14 ±0.05
better than 79%
Shot selection+0.11 ±0.22
better than 56%
−0.07 ±0.09
better than 39%
Execution−1.81 ±0.55
better than 6%
+0.02 ±0.49
better than 62%
Points left on the table2.66 ±0.15
lower than 40%
2.63 ±0.08
lower than 47%

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: Dayana Yastremska −2.15, Linda Noskova −0.84. 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.

Dayana Yastremska serving

Deuce court

1st serveNowDayana winsv LindaMatchupOptimal
Wide46%63%65%62.4%±5.546%
Body16%62%57%62.5%±7.61% ▼
T38%69%74%74.7%±5.453% ▲

Optimal v Linda Noskova: +0.2±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +7.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowDayana winsv LindaMatchupOptimal
Wide42%68%70%72.0%±5.657% ▲
Body17%56%58%58.5%±8.32% ▼
T41%61%66%62.8%±6.241%

Optimal v Linda Noskova: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +6.1 per 100 first serves in before the returner adjusts.

Linda Noskova serving

Deuce court

1st serveNowLinda winsv DayanaMatchupOptimal
Wide39%70%65%69.5%±5.237% ▼
Body10%57%56%55.5%±8.40% ▼
T50%73%68%73.4%±5.063% ▲

Optimal v Dayana Yastremska: +0.8±0.7 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowLinda winsv DayanaMatchupOptimal
Wide49%72%68%74.4%±5.164% ▲
Body8%52%56%52.5%±9.30% ▼
T42%68%66%70.0%±5.536% ▼

Optimal v Dayana Yastremska: +1.0±0.8 per 100 first serves (faults included) over the current mix. Serving wide every time would read +3.7 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.

Dayana Yastremska returning

1st serve to the forehand

ReturnNowTourOwnv LindaValue
FH through the middle44%+4.2−2.2+0.6+2.6±2.3
FH down the line37%+1.5−7.3−1.1−6.8±4.0
FH crosscourt17%+5.3−1.6−0.5+3.2±4.0
FH slice through the middle1%−6.7−0.7−0.3−7.7±2.0

Lean FH crosscourt: +4.2±3.8 per 100 returns v the current mix (475 returns charted)

1st serve to the backhand

ReturnNowTourOwnv LindaValue
BH through the middle48%+6.0−0.6−0.4+5.0±2.1
BH down the line27%+2.2−1.4+4.4+5.1±4.3
BH crosscourt15%+7.7−0.9−0.6+6.3±3.4
BH slice through the middle4%−6.2−2.2−0.6−9.0±2.4
BH slice crosscourt3%−4.2−3.1−0.8−8.1±2.8

Lean BH crosscourt: +2.5±3.2 per 100 returns v the current mix (446 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv LindaValue
FH through the middle35%−3.2−1.6−1.3−6.1±2.8
FH down the line34%−0.6+2.6−2.2−0.2±5.2
FH crosscourt26%+0.5−2.3−3.6−5.4±4.2
BH through the middle4%−1.0−0.2+0.9−0.2±1.6

Lean FH down the line: +3.4±3.7 per 100 returns v the current mix (137 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv LindaValue
BH through the middle49%−2.6−2.3+0.9−3.9±2.2
BH crosscourt27%+1.5−0.3−1.9−0.7±3.3
BH down the line24%−0.5−3.3−1.2−5.0±5.0

Lean BH crosscourt: +2.6±2.9 per 100 returns v the current mix (246 returns charted, inside the 90% margin)

Linda Noskova returning

1st serve to the forehand

ReturnNowTourOwnv DayanaValue
FH through the middle40%+4.2+2.7+0.5+7.4±2.3
FH down the line19%+1.5±0.0+0.9+2.4±4.4
FH crosscourt16%+5.3+0.3−4.6+1.0±3.9
FH slice through the middle15%−6.7+1.2+1.3−4.3±2.5
FH slice crosscourt8%−6.6−0.6+1.0−6.2±2.8

Lean FH through the middle: +5.3±1.8 per 100 returns v the current mix (714 returns charted)

1st serve to the backhand

ReturnNowTourOwnv DayanaValue
BH through the middle41%+6.0−0.9+0.4+5.5±2.2
BH crosscourt25%+7.7−0.7+0.3+7.3±3.2
BH down the line12%+2.2−3.7−3.9−5.4±4.6
BH slice through the middle11%−6.2−1.3−0.9−8.4±2.5
BH slice crosscourt8%−4.2−1.9−1.8−7.9±2.9

Lean BH crosscourt: +6.0±2.7 per 100 returns v the current mix (631 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv DayanaValue
FH through the middle44%−3.2−2.0+1.4−3.8±2.8
FH crosscourt27%+0.5+0.3−3.7−2.9±4.4
FH down the line25%−0.6−5.0−3.0−8.6±5.2
FH slice crosscourt4%−14.9−0.6−1.0−16.5±1.8

Lean FH crosscourt: +2.3±3.7 per 100 returns v the current mix (197 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv DayanaValue
BH crosscourt39%+1.5−1.9−2.1−2.6±3.2
BH through the middle32%−2.6+0.9−1.0−2.7±2.4
BH down the line26%−0.5+2.2−4.0−2.3±5.1
FH through the middle3%−2.7−0.6+1.4−1.9±2.2

Lean BH down the line: +0.2±4.1 per 100 returns v the current mix (338 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.

Dayana Yastremska

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+3.3±2.9+0.6+2.6
FH to their forehand · return +1+1.3±3.1−1.4+2.8
BH to their backhand · return +1+1.1±3.0+1.0+0.1
BH to their backhand · serve +1+0.7±2.9−0.6+1.3
BH to their forehand · return +1+0.5±4.3−3.5+4.0
BH to their forehand · return−0.4±3.4−1.9+1.5

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−7.0±3.2−5.3−1.7
BH to their forehand · rally−6.0±3.2−2.7−3.4
FH to the middle · return +1−4.1±2.4−2.4−1.7
FH to their backhand · return +1−3.8±3.7−5.0+1.1
BH to the middle · rally−3.8±1.6−2.2−1.5

Linda Noskova

Favour

ShotEdgeOwnTheirs
BH to their forehand · serve +1+4.3±4.1+2.9+1.4
FH slice to the middle · return+2.7±2.4+1.0+1.7
BH to their backhand · rally+2.2±2.3+1.6+0.6
FH to their forehand · serve +1+2.1±3.3+2.5−0.5
BH to the middle · return +1+1.9±2.1+0.7+1.2
FH to the middle · return+1.2±1.8+0.5+0.7

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−6.3±2.8−4.6−1.6
BH to their forehand · return−5.6±3.7−0.6−4.9
FH to their forehand · return−4.5±3.4+0.2−4.8
FH to their backhand · return−4.5±3.7−3.1−1.4
BH slice to their backhand · rally−3.7±3.0−2.9−0.7

Against Linda Noskova-like opponents

Dayana Yastremska vMatchesServe pts wonReturn pts won
All charted opponents–56.0%42.3%
Players most similar to Linda Noskova5 55.9%37.4%
Linda Noskova (charted head-to-head)1 66.1%42.6%

Similar by tactical fingerprint: Barbora Krejcikova, Clara Tauson, Viktoria Hruncakova, Anastasia Pavlyuchenkova, Sofia Kenin, Aliaksandra Sasnovich, Veronika Kudermetova, Petra Kvitova, Sabine Lisicki, Johanna Konta. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head