RallyIQ

Game plan

Tatjana Maria v Conchita Martinez

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

Forecast

Tatjana Maria wins, best of 3 71%90%: 32%–94% · best of 5: 75%
Serve points won 58.6% / 54.5% Tatjana / Conchita · tour 55.0%
Strengths only, no similarity priors 71%serve 58.6% / 54.5%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerTatjanaConchita
Direction choice+0.17 ±0.11
better than 82%
+0.23 ±0.15
better than 88%
Shot selection−4.80 ±0.55
better than 0%
−0.92 ±0.32
better than 4%
Execution+1.80 ±0.44
better than 98%
+1.03 ±0.87
better than 93%
Points left on the table3.32 ±0.20
lower than 3%
2.70 ±0.22
lower than 34%

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.

Tatjana Maria serving

Deuce court

1st serveNowTatjana winsv ConchitaMatchupOptimal
Wide38%70%72%75.5%±7.854% ▲
Body14%60%59%61.1%±12.40% ▼
T47%75%64%72.0%±8.746% ▼

Optimal v Conchita Martinez: +1.4±1.2 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.

Ad court

1st serveNowTatjana winsv ConchitaMatchupOptimal
Wide24%74%66%75.2%±8.639% ▲
Body11%54%50%48.7%±13.80% ▼
T65%68%67%70.4%±9.961% ▼

Optimal v Conchita Martinez: +1.2±1.1 per 100 first serves (faults included) over the current mix. Serving wide every time would read +6.0 per 100 first serves in before the returner adjusts.

Conchita Martinez serving

Deuce court

1st serveNowConchita winsv TatjanaMatchupOptimal
Wide46%58%61%52.3%±9.446%
Body20%52%61%55.4%±11.25% ▼
T34%63%66%61.3%±10.249% ▲

Optimal v Tatjana Maria: +0.6±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowConchita winsv TatjanaMatchupOptimal
Wide55%55%58%46.9%±8.441% ▼
Body14%59%58%61.3%±11.929% ▲
T31%57%56%48.5%±11.030% ▼

Optimal v Tatjana Maria: +0.2±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +12.0 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.

Tatjana Maria returning

1st serve to the forehand

ReturnNowTourOwnv ConchitaValue
FH slice through the middle44%−6.7+3.5+0.5−2.8±2.1
FH slice crosscourt19%−6.6+4.2±0.0−2.5±2.0
FH through the middle14%+4.2−3.2±0.0+1.0±3.2
FH crosscourt11%+5.3+0.7+1.8+7.8±4.3
FH slice down the line9%−10.5+3.7±0.0−6.8±2.3

Lean FH crosscourt: +9.1±4.0 per 100 returns v the current mix (254 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ConchitaValue
BH slice through the middle46%−6.2+4.6+2.8+1.1±2.4
BH slice crosscourt31%−4.2+3.2+4.5+3.5±2.9
BH slice down the line9%−12.5+3.9+3.3−5.2±3.4
BH through the middle8%+6.0−1.0−1.8+3.2±2.9
BH crosscourt4%+7.7+0.9+1.3+10.0±3.4

Lean BH crosscourt: +8.1±3.6 per 100 returns v the current mix (356 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ConchitaValue
FH slice through the middle33%−15.2+3.0±0.0−12.2±1.8
FH crosscourt25%+0.5−0.4+0.9+1.0±4.0
FH through the middle16%−3.2−0.3−1.4−4.9±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: +9.0±3.1 per 100 returns v the current mix (76 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv ConchitaValue
BH slice through the middle34%−11.7+1.2+0.6−9.8±2.4
BH slice crosscourt30%−7.5+0.2+3.6−3.7±2.9
BH through the middle7%−2.6−0.5−0.9−3.9±2.5
BH slice down the line7%−10.6+4.5±0.0−6.1±2.6
BH down the line6%−0.5−1.3−2.0−3.8±4.5

Lean BH slice crosscourt: +1.7±2.2 per 100 returns v the current mix (202 returns charted, inside the 90% margin)

Conchita Martinez returning

1st serve to the forehand

ReturnNowTourOwnv TatjanaValue
FH through the middle49%+4.2−0.4−0.1+3.6±2.9
FH down the line34%+1.5+2.0−6.0−2.5±4.6
FH crosscourt17%+5.3+2.9+0.4+8.6±4.1

Lean FH crosscourt: +6.2±4.0 per 100 returns v the current mix (106 returns charted)

1st serve to the backhand

ReturnNowTourOwnv TatjanaValue
BH slice through the middle36%−6.2−1.1+0.3−7.1±2.6
BH slice crosscourt28%−4.2+3.8−1.5−1.9±2.9
BH slice down the line12%−12.5+3.1−0.4−9.8±2.9
BH through the middle10%+6.0+0.5−2.0+4.5±2.7
BH crosscourt9%+7.7+0.3−2.5+5.5±3.4

Lean BH crosscourt: +8.9±3.4 per 100 returns v the current mix (165 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv TatjanaValue
FH down the line47%−0.6+3.3−0.1+2.7±5.0
FH crosscourt29%+0.5−0.2+3.2+3.6±4.0
FH through the middle24%−3.2−0.1+0.4−2.9±2.6

Lean FH down the line: +1.1±3.0 per 100 returns v the current mix (49 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.

Tatjana Maria

Favour

ShotEdgeOwnTheirs
BH slice to their backhand · return+6.2±3.1+1.0+5.2
BH slice to their forehand · rally+5.5±4.0+1.9+3.6
BH slice to their backhand · return +1+5.4±3.1+1.8+3.6
BH slice to their backhand · rally+4.9±2.9+1.9+3.1
FH to the middle · rally+3.8±3.8+1.8+2.0
BH slice to the middle · return+3.2±2.5+1.1+2.1

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−3.2±6.0+0.2−3.5
FH to their forehand · rally−0.5±5.0+0.9−1.4
FH to their backhand · rally±0.0±5.5−1.4+1.4
FH to the middle · return+0.9±4.3−0.4+1.3
BH slice to the middle · rally+1.4±2.5+0.2+1.2

Conchita Martinez

Favour

ShotEdgeOwnTheirs
FH to the middle · return+2.2±3.7+0.9+1.3
FH to their backhand · return−1.8±5.5+2.7−4.5
FH to the middle · rally−2.4±3.6+3.9−6.3
FH to their forehand · serve +1−3.1±5.1+1.3−4.4
BH to the middle · rally−3.6±3.6+0.4−4.0
BH to their forehand · rally−4.8±6.3+0.5−5.3

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−8.7±4.1−1.5−7.2
FH to their backhand · rally−6.4±3.9+1.1−7.5
BH slice to the middle · rally−5.7±3.5+0.2−5.9
FH to their backhand · serve +1−5.6±4.9−1.1−4.5
BH slice to their backhand · rally−5.5±3.9+2.1−7.6

Against Conchita Martinez-like opponents

Tatjana Maria vMatchesServe pts wonReturn pts won
All charted opponents–58.5%42.6%

Similar by tactical fingerprint: Daria Kasatkina, Daria Saville, Kirsten Flipkens, Svetlana Kuznetsova, Francesca Schiavone, Martina Hingis, Arantxa Sanchez Vicario, Steffi Graf, Gabriela Sabatini, Chris Evert. When two players have rarely met, their records against these lookalikes fill the gap.