RallyIQ

Game plan

Ashleigh Barty v Tatjana Maria

Every number combines what Ashleigh Barty does well with what Tatjana Maria allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Ashleigh Barty wins, best of 3 93%90%: 81%–98% · best of 5: 97%
Serve points won 65.6% / 54.2% Ashleigh / Tatjana · tour 56.4%
Strengths only, no similarity priors 93%serve 65.5% / 53.9%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Ashleigh Barty's record against Tatjana Maria's tactical lookalikes and in their charted head-to-heads (lookalikes: −4.5 on serve, −2.7 on return vs expectation (154 points); head-to-head: +6.8 on serve, −4.1 on return vs expectation (164 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

CareerAshleighTatjana
Direction choice+0.27 ±0.07
better than 93%
+0.17 ±0.11
better than 82%
Shot selection−1.27 ±0.17
better than 2%
−4.80 ±0.55
better than 0%
Execution+0.79 ±0.31
better than 87%
+1.80 ±0.44
better than 98%
Points left on the table2.65 ±0.10
lower than 42%
3.32 ±0.20
lower than 3%

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.

Ashleigh Barty serving

Deuce court

1st serveNowAshleigh winsv TatjanaMatchupOptimal
Wide41%73%61%67.9%±6.534% ▼
Body8%64%61%66.9%±8.90% ▼
T51%78%66%76.6%±5.166% ▲

Optimal v Tatjana Maria: +0.5±0.8 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 serveNowAshleigh winsv TatjanaMatchupOptimal
Wide44%73%58%66.8%±6.438% ▼
Body9%62%58%63.9%±9.40% ▼
T47%73%56%65.0%±7.062% ▲

Optimal v Tatjana Maria: +0.6±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.1 per 100 first serves in before the returner adjusts.

Tatjana Maria serving

Deuce court

1st serveNowTatjana winsv AshleighMatchupOptimal
Wide38%70%67%70.5%±6.154% ▲
Body14%60%57%59.1%±10.00% ▼
T47%75%62%69.9%±6.446% ▼

Optimal v Ashleigh Barty: +1.0±1.0 per 100 first serves (faults included) over the current mix. Serving wide every time would read +1.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowTatjana winsv AshleighMatchupOptimal
Wide24%74%64%72.8%±7.739% ▲
Body11%54%50%47.9%±10.90% ▼
T65%68%59%63.6%±6.161% ▼

Optimal v Ashleigh Barty: +1.0±0.9 per 100 first serves (faults included) over the current mix. Serving wide every time would read +8.7 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.

Ashleigh Barty returning

1st serve to the forehand

ReturnNowTourOwnv TatjanaValue
FH through the middle43%+4.2±0.0−0.1+4.0±2.4
FH crosscourt25%+5.3−1.0+0.4+4.7±4.0
FH down the line17%+1.5+3.2−6.0−1.4±4.4
FH slice through the middle9%−6.7−0.6±0.0−7.3±2.5
FH slice crosscourt4%−6.6−1.0−2.5−10.1±2.6

Lean FH crosscourt: +3.4±3.3 per 100 returns v the current mix (769 returns charted)

1st serve to the backhand

ReturnNowTourOwnv TatjanaValue
BH slice through the middle29%−6.2+1.7+0.3−4.3±2.2
BH through the middle29%+6.0−0.9−2.0+3.1±2.5
BH crosscourt17%+7.7−0.3−2.5+4.9±3.4
BH slice crosscourt12%−4.2+0.7−1.5−5.0±2.8
BH down the line7%+2.2−0.2−6.2−4.2±4.7

Lean BH crosscourt: +5.8±3.1 per 100 returns v the current mix (911 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv TatjanaValue
FH crosscourt47%+0.5+2.4+3.2+6.2±4.4
FH through the middle40%−3.2−1.6+0.4−4.4±2.9
FH down the line13%−0.6+2.4−0.1+1.8±5.0

Lean FH crosscourt: +4.8±2.7 per 100 returns v the current mix (161 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv TatjanaValue
BH slice crosscourt24%−7.5−1.7−1.1−10.3±2.6
BH through the middle23%−2.6−3.0+2.2−3.5±2.6
BH crosscourt16%+1.5+1.4±0.0+2.9±3.6
BH slice through the middle14%−11.7−0.3−1.1−13.1±2.3
BH down the line7%−0.5−1.2−1.1−2.8±5.2
FH inside-in3%+0.7−0.8+3.2+3.2±4.4

Lean FH inside-in: +8.3±4.4 per 100 returns v the current mix (526 returns charted)

Tatjana Maria returning

1st serve to the forehand

ReturnNowTourOwnv AshleighValue
FH slice through the middle44%−6.7+3.5−1.6−4.9±2.4
FH slice crosscourt19%−6.6+4.2−0.4−2.9±2.8
FH through the middle14%+4.2−3.2−0.3+0.7±2.7
FH crosscourt11%+5.3+0.7−1.6+4.4±4.0
FH slice down the line9%−10.5+3.7−3.7−10.5±3.3

Lean FH crosscourt: +7.5±3.8 per 100 returns v the current mix (254 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AshleighValue
BH slice through the middle46%−6.2+4.6−0.4−2.1±2.3
BH slice crosscourt31%−4.2+3.2+0.5−0.5±2.9
BH slice down the line9%−12.5+3.9−4.2−12.7±3.6
BH through the middle8%+6.0−1.0+1.8+6.8±2.5
BH crosscourt4%+7.7+0.9+0.2+8.8±3.2

Lean BH crosscourt: +10.1±3.4 per 100 returns v the current mix (356 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AshleighValue
FH slice through the middle33%−15.2+3.0+0.4−11.8±2.4
FH crosscourt25%+0.5−0.4−1.3−1.2±4.1
FH through the middle16%−3.2−0.3−0.1−3.6±2.6
FH slice crosscourt14%−14.9+1.4±0.0−13.5±1.6
FH slice down the line12%−14.1+1.2±0.0−12.9±1.9

Lean FH crosscourt: +7.0±3.2 per 100 returns v the current mix (76 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AshleighValue
BH slice through the middle34%−11.7+1.2+0.3−10.1±2.2
BH slice crosscourt30%−7.5+0.2−2.4−9.6±2.6
BH through the middle7%−2.6−0.5+1.2−1.9±2.1
BH slice down the line7%−10.6+4.5±0.0−6.1±2.6
BH down the line6%−0.5−1.3+2.3+0.5±4.5

Lean BH through the middle: +5.2±2.2 per 100 returns v the current mix (202 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.

Ashleigh Barty

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+3.2±5.0+0.4+2.8
FH volley to their forehand · rally+1.4±8.4+1.8−0.4
FH to their backhand · return +1+0.5±4.9+1.5−1.0
FH to their backhand · return+0.5±5.1+4.5−4.0
BH to the middle · return−0.5±2.8−0.7+0.3
BH to their backhand · return−0.7±4.3+2.3−2.9

Avoid

ShotEdgeOwnTheirs
BH to their forehand · serve +1−10.1±7.1−2.8−7.3
BH to the middle · serve +1−8.6±3.4−2.8−5.8
FH to their forehand · serve +1−6.6±3.7+1.7−8.3
BH to their backhand · rally−6.1±3.4−1.8−4.2
BH to their forehand · rally−5.9±5.9−0.8−5.2

Tatjana Maria

Favour

ShotEdgeOwnTheirs
FH slice to their backhand · rally+3.8±5.1+6.2−2.4
FH slice to the middle · rally+2.6±3.3+3.2−0.6
BH slice to the middle · return+1.4±2.9+1.6−0.2
BH slice to their backhand · return+1.3±4.0+2.0−0.7
FH to their forehand · rally+0.7±3.8+2.2−1.5
BH slice to their forehand · rally+0.4±4.4+2.2−1.9

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−6.1±4.5−1.9−4.2
BH slice to the middle · rally−3.0±2.4+1.4−4.4
FH to their forehand · return−2.9±5.6+1.0−3.9
FH to their backhand · serve +1−2.8±4.9+1.3−4.0
FH to their forehand · serve +1−2.6±4.5+1.8−4.3

Against Tatjana Maria-like opponents

Ashleigh Barty vMatchesServe pts wonReturn pts won
All charted opponents–64.3%44.2%
Players most similar to Tatjana Maria1 59.5%38.3%
Tatjana Maria (charted head-to-head)1 71.6%39.8%

Similar by tactical fingerprint: Karolina Muchova, Viktorija Golubic, Diane Parry, Alison Van Uytvanck, Kirsten Flipkens, Francesca Schiavone, Roberta Vinci, Justine Henin, Amelie Mauresmo. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head