RallyIQ

Game plan

Anastasija Sevastova v Kayla Day

Every number combines what Anastasija Sevastova does well with what Kayla Day allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Anastasija Sevastova wins, best of 3 59%90%: 23%–88% · best of 5: 61%
Serve points won 60.7% / 59.0% Anastasija / Kayla · tour 56.4%
Strengths only, no similarity priors 59%serve 60.7% / 59.0%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerAnastasijaKayla
Direction choice+0.24 ±0.10
better than 90%
−0.37 ±0.16
better than 3%
Shot selection−0.25 ±0.17
better than 25%
−0.18 ±0.14
better than 29%
Execution+0.04 ±0.48
better than 63%
+0.97 ±0.91
better than 91%
Points left on the table2.23 ±0.13
lower than 91%
3.13 ±0.51
lower than 7%

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.

Anastasija Sevastova serving

Deuce court

1st serveNowAnastasija winsv KaylaMatchupOptimal
Wide46%66%67%67.0%±9.457% ▲
Body15%60%60%61.7%±11.80% ▼
T39%68%68%67.7%±12.343% ▲

Optimal v Kayla Day: +0.5±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAnastasija winsv KaylaMatchupOptimal
Wide46%58%61%53.8%±10.846%
Body23%52%57%52.4%±12.68% ▼
T31%61%59%55.5%±11.746% ▲

Optimal v Kayla Day: +0.6±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.5 per 100 first serves in before the returner adjusts.

Kayla Day serving

Deuce court

1st serveNowKayla winsv AnastasijaMatchupOptimal
Wide35%66%68%68.7%±10.850% ▲
Body17%56%58%57.0%±13.72% ▼
T48%71%70%73.0%±8.948%

Optimal v Anastasija Sevastova: +0.6±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowKayla winsv AnastasijaMatchupOptimal
Wide45%61%72%67.5%±10.345%
Body25%61%59%64.0%±12.510% ▼
T30%65%65%65.4%±11.845% ▲

Optimal v Anastasija Sevastova: +0.4±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.5 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.

Anastasija Sevastova returning

1st serve to the forehand

ReturnNowTourOwnv KaylaValue
FH through the middle38%+4.2+0.9−1.6+3.4±3.1
FH crosscourt22%+5.3+1.0−0.4+5.9±4.0
FH slice through the middle16%−6.7+0.6+1.4−4.7±2.3
FH down the line14%+1.5+1.3−1.2+1.6±4.2
FH slice crosscourt6%−6.6−1.4±0.0−8.0±1.6

Lean FH crosscourt: +4.7±3.4 per 100 returns v the current mix (228 returns charted)

1st serve to the backhand

ReturnNowTourOwnv KaylaValue
BH through the middle38%+6.0+0.6+0.7+7.3±2.9
BH crosscourt30%+7.7−2.4−0.4+4.9±3.5
BH slice through the middle15%−6.2−0.4−0.4−7.1±2.3
BH down the line9%+2.2−0.8−1.2+0.2±4.4
BH slice crosscourt6%−4.2+0.6+0.8−2.7±2.2

Lean BH through the middle: +4.4±2.1 per 100 returns v the current mix (247 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv KaylaValue
BH crosscourt51%+1.5−0.3−0.1+1.0±3.6
BH through the middle39%−2.6+0.9+2.1+0.4±2.8
BH down the line10%−0.5−0.4+1.0+0.1±4.2

Lean BH crosscourt: +0.3±2.1 per 100 returns v the current mix (133 returns charted, inside the 90% margin)

Kayla Day returning

1st serve to the forehand

ReturnNowTourOwnv AnastasijaValue
FH crosscourt42%+5.3+3.1+0.8+9.3±4.3
FH through the middle36%+4.2+0.7+1.6+6.5±2.8
FH down the line11%+1.5−0.8−0.2+0.5±4.0
FH slice through the middle11%−6.7+0.6+0.8−5.3±2.1

Lean FH crosscourt: +3.5±2.7 per 100 returns v the current mix (66 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AnastasijaValue
BH through the middle52%+6.0+1.1+1.9+9.1±2.8
BH crosscourt24%+7.7+1.0+2.5+11.2±3.5
BH down the line14%+2.2−0.7−0.2+1.3±4.2
BH slice down the line5%−12.5−0.3−0.9−13.7±2.4
BH slice through the middle5%−6.2+0.3−0.7−6.6±2.0

Lean BH crosscourt: +4.8±3.1 per 100 returns v the current mix (110 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 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.

Anastasija Sevastova

Favour

ShotEdgeOwnTheirs
BH to their forehand · rally+12.3±5.6+3.9+8.4
FH to their backhand · serve +1+5.6±6.2+3.8+1.9
BH to the middle · return+1.7±3.6+0.8+0.9
BH to their backhand · rally+1.4±4.4−1.5+2.9
FH to their forehand · serve +1+1.2±5.9+0.9+0.4
BH to the middle · rally−0.6±3.2+0.4−1.0

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−8.0±4.6−2.6−5.5
FH to the middle · return−2.6±4.2−0.2−2.4
FH to the middle · rally−1.3±3.6−1.1−0.2
FH to their backhand · rally−0.9±4.9−2.1+1.2
BH to the middle · rally−0.6±3.2+0.4−1.0

Kayla Day

Favour

ShotEdgeOwnTheirs
BH to their forehand · rally+6.4±6.2+4.4+2.1
FH to their backhand · rally+4.0±4.8+2.8+1.1
FH to their backhand · return+3.4±6.3+1.2+2.2
BH to the middle · return+3.0±3.7+1.3+1.7
FH to their backhand · serve +1+2.8±5.8+1.7+1.1
FH to the middle · rally+2.7±3.3+1.7+1.0

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally+0.7±4.8−2.3+3.1
FH to the middle · return+0.8±3.9+0.9−0.1
BH to the middle · rally+1.4±3.0+0.3+1.1
FH to the middle · rally+2.7±3.3+1.7+1.0
FH to their backhand · serve +1+2.8±5.8+1.7+1.1

Against Kayla Day-like opponents

Anastasija Sevastova vMatchesServe pts wonReturn pts won
All charted opponents–54.9%41.0%