RallyIQ

Game plan

Kiki Bertens v Alison Van Uytvanck

Every number combines what Kiki Bertens does well with what Alison Van Uytvanck allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Kiki Bertens wins, best of 3 87%90%: 66%–97% · best of 5: 92%
Serve points won 63.3% / 54.5% Kiki / Alison · tour 55.0%
Strengths only, no similarity priors 89%serve 62.5% / 53.3%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Kiki Bertens's record against Alison Van Uytvanck's tactical lookalikes and in their charted head-to-heads (lookalikes: +1.3 on serve, −3.4 on return vs expectation (1036 points); head-to-head: +7.5 on serve, −5.7 on return vs expectation (165 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

CareerKikiAlison
Direction choice+0.08 ±0.04
better than 70%
−0.17 ±0.13
better than 22%
Shot selection−0.41 ±0.09
better than 17%
−0.40 ±0.14
better than 17%
Execution−0.19 ±0.21
better than 50%
−0.18 ±0.59
better than 52%
Points left on the table2.67 ±0.06
lower than 38%
3.17 ±0.19
lower than 5%

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.

Kiki Bertens serving

Deuce court

1st serveNowKiki winsv AlisonMatchupOptimal
Wide49%71%70%74.3%±6.064% ▲
Body9%62%60%63.8%±9.80% ▼
T42%70%70%72.8%±7.136% ▼

Optimal v Alison Van Uytvanck: +0.4±0.8 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.

Ad court

1st serveNowKiki winsv AlisonMatchupOptimal
Wide56%70%73%76.9%±6.371% ▲
Body5%50%58%52.3%±12.80% ▼
T39%68%70%72.9%±6.629% ▼

Optimal v Alison Van Uytvanck: +0.7±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.9 per 100 first serves in before the returner adjusts.

Alison Van Uytvanck serving

Deuce court

1st serveNowAlison winsv KikiMatchupOptimal
Wide44%67%66%66.7%±6.859% ▲
Body20%56%59%58.0%±9.55% ▼
T36%67%64%63.3%±8.036%

Optimal v Kiki Bertens: +0.8±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAlison winsv KikiMatchupOptimal
Wide40%71%63%68.3%±7.732% ▼
Body7%51%58%52.4%±13.00% ▼
T53%68%64%67.5%±7.168% ▲

Optimal v Kiki Bertens: +0.4±0.8 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.

Kiki Bertens returning

1st serve to the forehand

ReturnNowTourOwnv AlisonValue
FH through the middle46%+4.2+1.8−2.2+3.7±2.4
FH crosscourt16%+5.3+0.4±0.0+5.8±3.8
FH slice through the middle15%−6.7−4.0−0.4−11.1±2.2
FH down the line12%+1.5−1.2−0.8−0.4±4.2
FH slice crosscourt10%−6.6+1.5−0.6−5.7±2.1

Lean FH crosscourt: +5.6±3.4 per 100 returns v the current mix (1802 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AlisonValue
BH through the middle43%+6.0±0.0+1.1+7.1±2.3
BH crosscourt18%+7.7+0.2+0.7+8.6±3.1
BH slice through the middle15%−6.2−0.2+1.6−4.8±1.9
BH down the line14%+2.2−2.0+0.7+0.9±3.8
BH slice crosscourt5%−4.2−0.9−0.9−5.9±2.4

Lean BH crosscourt: +5.4±2.8 per 100 returns v the current mix (2080 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AlisonValue
FH through the middle45%−3.2+1.1+1.0−1.1±2.6
FH crosscourt35%+0.5−1.1+1.4+0.9±3.6
FH down the line15%−0.6−0.8±0.0−1.3±3.7
FH slice through the middle3%−15.2+0.2±0.0−15.0±1.5
FH slice crosscourt1%−14.9+0.9±0.0−14.0±1.3

Lean FH crosscourt: +1.9±2.7 per 100 returns v the current mix (483 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AlisonValue
BH through the middle40%−2.6−0.4+2.7−0.3±2.3
BH crosscourt32%+1.5−0.4+2.2+3.3±3.1
FH through the middle9%−2.7−0.4+1.0−2.1±2.4
FH inside-in8%+0.7+1.3+1.4+3.4±4.2
BH down the line7%−0.5−2.9−0.4−3.8±5.2

Lean FH inside-in: +2.7±4.1 per 100 returns v the current mix (1083 returns charted, inside the 90% margin)

Alison Van Uytvanck returning

1st serve to the forehand

ReturnNowTourOwnv KikiValue
FH slice through the middle49%−6.7+0.4−0.7−7.0±2.2
FH through the middle18%+4.2+0.1−1.0+3.2±2.4
FH slice down the line10%−10.5+1.8−1.6−10.3±3.2
FH slice crosscourt9%−6.6−1.8−0.3−8.7±2.6
FH down the line7%+1.5−2.2−3.8−4.5±3.6

Lean FH through the middle: +7.9±2.3 per 100 returns v the current mix (184 returns charted)

1st serve to the backhand

ReturnNowTourOwnv KikiValue
BH crosscourt40%+7.7+0.7−2.2+6.2±3.0
BH through the middle39%+6.0+2.9−0.8+8.1±2.3
BH down the line7%+2.2+1.3−4.8−1.3±3.4
BH slice crosscourt6%−4.2+0.9−3.0−6.2±2.4
BH slice down the line4%−12.5−1.0−0.3−13.8±3.0

Lean BH through the middle: +3.7±1.9 per 100 returns v the current mix (131 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv KikiValue
FH through the middle61%−3.2−1.3+0.1−4.4±2.4
FH crosscourt22%+0.5+2.0−4.5−1.9±3.2
FH down the line17%−0.6+0.1−2.3−2.8±3.6

Lean FH through the middle: −0.8±1.3 per 100 returns v the current mix (41 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv KikiValue
BH through the middle51%−2.6−2.2−0.9−5.7±2.2
BH crosscourt49%+1.5−4.3−2.1−4.9±2.9

Lean BH crosscourt: +0.4±1.9 per 100 returns v the current mix (69 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 on clay. Each player's clay record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Kiki Bertens

Favour

ShotEdgeOwnTheirs
BH to the middle · return+4.0±2.1+2.6+1.4
BH to the middle · serve +1+2.8±2.4+2.5+0.4
BH to their backhand · return+1.9±3.1+0.4+1.5
FH to the middle · return+1.3±2.4+2.1−0.8
FH to the middle · rally+0.3±2.2+1.2−0.9
FH to their forehand · rally+0.1±2.6+1.4−1.3

Avoid

ShotEdgeOwnTheirs
BH to their forehand · serve +1−5.3±5.2−7.4+2.1
BH to their forehand · rally−1.8±4.1+0.1−1.9
FH to their backhand · serve +1−1.6±3.7−1.6+0.1
BH to their backhand · serve +1−1.5±3.5−1.4−0.1
FH to their forehand · return +1−1.2±3.5+0.4−1.6

Alison Van Uytvanck

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+2.1±3.5+2.5−0.4
BH to the middle · rally+1.3±2.0+0.5+0.8
FH slice to the middle · return+1.0±2.8+1.2−0.1
FH to the middle · serve +1−0.2±2.4+0.2−0.4
FH to the middle · rally−0.2±2.1+0.4−0.6
BH slice to the middle · rally−0.3±2.5+0.6−0.9

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return−3.8±2.9−1.0−2.9
FH to their forehand · rally−3.7±2.7−0.6−3.2
BH to the middle · return−3.2±2.1−1.7−1.6
FH to the middle · return−3.2±2.6−2.2−1.1
FH to their backhand · rally−3.2±3.1−0.6−2.6

Against Alison Van Uytvanck-like opponents

Kiki Bertens vMatchesServe pts wonReturn pts won
All charted opponents–59.9%43.7%
Players most similar to Alison Van Uytvanck7 60.7%40.7%
Alison Van Uytvanck (charted head-to-head)1 69.4%37.5%

Similar by tactical fingerprint: Karolina Muchova, Caty Mcnally, Elina Svitolina, Bianca Andreescu, Jessica Pegula, Maria Sakkari, Ajla Tomljanovic, Irina Camelia Begu, R. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head