RallyIQ

Game plan

Ajla Tomljanovic v Katie Boulter

Every number combines what Ajla Tomljanovic does well with what Katie Boulter allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Ajla Tomljanovic wins, best of 3 34%90%: 7%–73% · best of 5: 30%
Serve points won 54.6% / 57.8% Ajla / Katie · tour 55.0%
Strengths only, no similarity priors 35%serve 54.5% / 57.4%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Ajla Tomljanovic's record against Katie Boulter's tactical lookalikes and in their charted head-to-heads (head-to-head: +3.4 on serve, −9.2 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

CareerAjlaKatie
Direction choice−0.42 ±0.09
better than 1%
−0.15 ±0.07
better than 26%
Shot selection−0.34 ±0.13
better than 19%
+0.24 ±0.18
better than 72%
Execution+0.24 ±0.70
better than 70%
−0.88 ±0.63
better than 21%
Points left on the table3.06 ±0.13
lower than 9%
2.79 ±0.11
lower than 25%

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: Ajla Tomljanovic −0.26, Katie Boulter −1.01. 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.

Ajla Tomljanovic serving

Deuce court

1st serveNowAjla winsv KatieMatchupOptimal
Wide40%64%64%61.6%±7.932% ▼
Body29%55%66%63.1%±9.222% ▼
T30%72%71%75.0%±7.346% ▲

Optimal v Katie Boulter: +0.2±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +8.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAjla winsv KatieMatchupOptimal
Wide39%60%70%64.9%±8.154% ▲
Body23%47%61%51.9%±10.68% ▼
T37%66%67%68.6%±8.038%

Optimal v Katie Boulter: +1.4±1.1 per 100 first serves (faults included) over the current mix. Serving T every time would read +5.4 per 100 first serves in before the returner adjusts.

Katie Boulter serving

Deuce court

1st serveNowKatie winsv AjlaMatchupOptimal
Wide39%68%68%69.9%±7.239%
Body21%55%59%56.5%±9.96% ▼
T40%71%77%79.4%±6.655% ▲

Optimal v Ajla Tomljanovic: +0.7±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +8.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowKatie winsv AjlaMatchupOptimal
Wide53%68%77%78.8%±6.468% ▲
Body17%62%64%69.2%±9.76% ▼
T31%66%64%65.2%±8.726% ▼

Optimal v Ajla Tomljanovic: +0.2±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.7 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.

Ajla Tomljanovic returning

1st serve to the forehand

ReturnNowTourOwnv KatieValue
FH through the middle43%+4.2−3.0−0.5+0.6±2.9
FH slice through the middle20%−6.7+2.0+0.8−4.0±2.6
FH down the line16%+1.5+2.6+0.2+4.2±4.7
FH crosscourt11%+5.3−1.5+2.3+6.1±4.3
FH slice down the line6%−10.5+0.4+2.0−8.0±2.9

Lean FH crosscourt: +5.9±4.2 per 100 returns v the current mix (312 returns charted)

1st serve to the backhand

ReturnNowTourOwnv KatieValue
BH through the middle34%+6.0−2.0−2.2+1.8±2.7
BH crosscourt24%+7.7−0.9+0.4+7.2±3.6
BH down the line16%+2.2−0.9−0.5+0.8±4.6
BH slice through the middle13%−6.2−0.6±0.0−6.8±2.5
BH slice crosscourt9%−4.2−1.7−0.9−6.8±2.8

Lean BH crosscourt: +6.9±3.0 per 100 returns v the current mix (187 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv KatieValue
FH through the middle51%−3.2−0.8−1.7−5.6±3.0
FH crosscourt26%+0.5−1.0+0.7+0.2±4.3
FH down the line23%−0.6±0.0−2.0−2.5±4.9

Lean FH crosscourt: +3.6±3.7 per 100 returns v the current mix (86 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv KatieValue
BH through the middle54%−2.6−1.8+0.3−4.1±2.8
BH crosscourt34%+1.5+0.9+1.5+3.9±3.6
BH down the line11%−0.5−3.2−0.9−4.7±4.7

Lean BH crosscourt: +5.3±2.9 per 100 returns v the current mix (105 returns charted)

Katie Boulter returning

1st serve to the forehand

ReturnNowTourOwnv AjlaValue
FH through the middle28%+4.2+1.8+1.3+7.2±2.9
FH slice through the middle27%−6.7−2.2+0.3−8.6±2.5
FH crosscourt19%+5.3−0.3+1.6+6.6±4.3
FH down the line14%+1.5+2.9−0.1+4.3±4.7
FH slice crosscourt9%−6.6+1.6+0.8−4.3±2.4

Lean FH through the middle: +6.3±2.4 per 100 returns v the current mix (285 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AjlaValue
BH through the middle45%+6.0−2.9−1.2+1.9±2.6
BH down the line26%+2.2−1.8+2.8+3.2±4.6
BH crosscourt16%+7.7+0.5−3.0+5.2±3.6
BH slice crosscourt5%−4.2−1.3+0.5−5.0±2.2
BH slice down the line4%−12.5−0.7−2.3−15.5±2.5

Lean BH crosscourt: +3.8±3.5 per 100 returns v the current mix (269 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AjlaValue
FH through the middle37%−3.2−3.1−0.6−6.9±2.9
FH crosscourt31%+0.5+2.3−1.2+1.7±4.2
FH down the line23%−0.6−1.4+2.2+0.2±5.0
FH slice through the middle9%−15.2−0.2±0.0−15.4±1.3

Lean FH crosscourt: +5.0±3.3 per 100 returns v the current mix (98 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AjlaValue
BH through the middle43%−2.6−0.9+0.1−3.4±2.8
BH crosscourt18%+1.5−0.6−1.8−0.9±3.5
FH through the middle15%−2.7−0.6−0.6−3.9±2.4
BH down the line13%−0.5−2.3+1.7−1.1±5.0
FH inside-in7%+0.7+0.1−1.2−0.3±4.0

Lean BH crosscourt: +1.4±3.2 per 100 returns v the current mix (168 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.

Ajla Tomljanovic

Favour

ShotEdgeOwnTheirs
BH to their forehand · serve +1+5.1±5.8−0.2+5.3
BH to the middle · return +1+2.9±3.4+1.1+1.8
BH to their backhand · serve +1+2.6±4.9+2.3+0.3
FH to their forehand · rally+2.5±4.8−0.5+3.0
BH to the middle · serve +1+2.0±3.4+0.8+1.3
BH to their forehand · rally+1.7±6.0+3.5−1.8

Avoid

ShotEdgeOwnTheirs
BH to the middle · return−9.6±3.4−8.5−1.1
FH to their backhand · serve +1−5.9±5.5−6.2+0.4
FH to their forehand · return−5.8±5.9−7.5+1.7
FH to the middle · return−5.4±3.6−3.1−2.3
FH to the middle · serve +1−4.9±3.5−3.2−1.6

Katie Boulter

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+6.3±5.7+4.5+1.7
FH to their backhand · serve +1+5.8±5.2+2.4+3.4
FH to their forehand · return +1+2.4±5.2+1.7+0.7
FH to the middle · return+1.4±3.6+1.1+0.3
BH to the middle · rally+0.9±3.1−0.9+1.9
FH to their backhand · return+0.6±5.7−1.2+1.8

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−13.3±6.0−9.2−4.0
FH to their backhand · rally−8.8±4.8−3.7−5.2
BH to the middle · serve +1−6.6±3.4−3.7−2.9
BH to their forehand · serve +1−6.2±6.3−3.0−3.2
FH to their forehand · rally−5.4±4.6−2.6−2.8

Against Katie Boulter-like opponents

Ajla Tomljanovic vMatchesServe pts wonReturn pts won
All charted opponents–54.2%39.2%
Katie Boulter (charted head-to-head)1 59.6%32.8%

Similar by tactical fingerprint: Cristina Bucsa, Diana Shnaider, Donna Vekic, Xin Yu Wang, Marta Kostyuk, Leylah Fernandez, Qinwen Zheng, Anastasia Pavlyuchenkova, Lulu Sun, Shelby Rogers. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head