RallyIQ

Game plan

Tatjana Maria v Roberta Vinci

Every number combines what Tatjana Maria does well with what Roberta Vinci 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 41%90%: 10%–80% · best of 5: 39%
Serve points won 59.4% / 61.2% Tatjana / Roberta · tour 58.1%
Strengths only, no similarity priors 41%serve 58.6% / 60.3%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Tatjana Maria's record against Roberta Vinci's tactical lookalikes and in their charted head-to-heads (lookalikes: +7.1 on serve, −7.7 on return vs expectation (396 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

CareerTatjanaRoberta
Direction choice+0.17 ±0.11
better than 82%
+0.25 ±0.27
better than 91%
Shot selection−4.80 ±0.55
better than 0%
−2.26 ±0.24
better than 1%
Execution+1.80 ±0.44
better than 98%
+0.99 ±0.81
better than 91%
Points left on the table3.32 ±0.20
lower than 3%
3.02 ±0.45
lower than 11%

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 RobertaMatchupOptimal
Wide38%70%60%64.1%±8.954% ▲
Body14%60%57%59.1%±12.50% ▼
T47%75%63%70.7%±8.346% ▼

Optimal v Roberta Vinci: +1.0±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowTatjana winsv RobertaMatchupOptimal
Wide24%74%66%75.0%±8.739% ▲
Body11%54%52%50.4%±14.10% ▼
T65%68%67%70.4%±8.461% ▼

Optimal v Roberta Vinci: +0.9±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.6 per 100 first serves in before the returner adjusts.

Roberta Vinci serving

Deuce court

1st serveNowRoberta winsv TatjanaMatchupOptimal
Wide50%65%61%59.5%±9.143% ▼
Body8%47%61%50.0%±13.30% ▼
T42%67%66%65.5%±9.257% ▲

Optimal v Tatjana Maria: +0.3±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRoberta winsv TatjanaMatchupOptimal
Wide45%70%58%63.2%±9.549% ▲
Body10%53%58%54.9%±13.30% ▼
T45%65%56%56.6%±10.151% ▲

Optimal v Tatjana Maria: +0.2±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.8 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 RobertaValue
FH slice through the middle44%−6.7+3.5+1.1−2.2±2.2
FH slice crosscourt19%−6.6+4.2±0.0−2.5±2.0
FH through the middle14%+4.2−3.2+1.2+2.1±3.1
FH crosscourt11%+5.3+0.7+5.6+11.6±4.3
FH slice down the line9%−10.5+3.7−1.2−8.0±2.7

Lean FH crosscourt: +12.2±4.0 per 100 returns v the current mix (254 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RobertaValue
BH slice through the middle46%−6.2+4.6−0.8−2.5±2.1
BH slice crosscourt31%−4.2+3.2+0.9−0.1±2.8
BH slice down the line9%−12.5+3.9±0.0−8.6±2.5
BH through the middle8%+6.0−1.0−1.0+4.0±2.9
BH crosscourt4%+7.7+0.9+0.6+9.3±3.4

Lean BH crosscourt: +10.5±3.5 per 100 returns v the current mix (356 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RobertaValue
FH slice through the middle33%−15.2+3.0±0.0−12.2±1.8
FH crosscourt25%+0.5−0.4+4.8+4.9±4.2
FH through the middle16%−3.2−0.3−0.1−3.5±2.8
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: +11.7±3.3 per 100 returns v the current mix (76 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv RobertaValue
BH slice through the middle34%−11.7+1.2±0.0−10.4±1.7
BH slice crosscourt30%−7.5+0.2−0.4−7.6±2.6
BH through the middle7%−2.6−0.5±0.0−3.1±2.6
BH slice down the line7%−10.6+4.5±0.0−6.1±2.6
BH down the line6%−0.5−1.3−0.9−2.8±4.8

Lean BH through the middle: +3.3±2.6 per 100 returns v the current mix (202 returns charted)

Roberta Vinci returning

1st serve to the forehand

ReturnNowTourOwnv TatjanaValue
FH through the middle44%+4.2+1.7−0.1+5.8±2.9
FH crosscourt24%+5.3+3.2+0.4+8.9±4.3
FH down the line23%+1.5+1.2−6.0−3.3±4.6
FH slice through the middle9%−6.7+0.7±0.0−6.0±2.3

Lean FH crosscourt: +5.5±3.7 per 100 returns v the current mix (140 returns charted)

1st serve to the backhand

ReturnNowTourOwnv TatjanaValue
BH slice through the middle49%−6.2−0.1+0.3−6.1±2.5
BH slice crosscourt39%−4.2+2.3−1.5−3.4±2.9
BH slice down the line13%−12.5+3.2−0.4−9.6±2.9

Lean BH slice crosscourt: +2.1±2.2 per 100 returns v the current mix (171 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv TatjanaValue
FH crosscourt45%+0.5+1.8+3.2+5.6±4.2
FH through the middle32%−3.2±0.0+0.4−2.8±2.7
FH down the line23%−0.6−0.8−0.1−1.5±4.6

Lean FH crosscourt: +4.3±2.7 per 100 returns v the current mix (44 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv TatjanaValue
BH slice crosscourt56%−7.5−0.4−1.1−8.9±2.7
BH slice through the middle25%−11.7+0.1−1.1−12.7±2.2
FH through the middle11%−2.7−0.5+0.4−2.8±2.2
FH inside-in9%+0.7+0.9+3.2+4.9±3.9

Lean BH slice crosscourt: −0.9±1.4 per 100 returns v the current mix (81 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 grass. Each player's grass record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Tatjana Maria

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+8.4±4.5+1.3+7.1
BH slice to their backhand · rally+2.2±4.0+3.9−1.7
FH to their forehand · rally+0.6±5.1+1.2−0.6
FH to the middle · rally−0.2±2.7+0.5−0.7
FH to their backhand · rally−2.7±4.9−0.9−1.8
FH to their backhand · serve +1−2.7±5.2+1.8−4.5

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−4.8±5.1+0.8−5.6
FH to the middle · return−4.1±4.2−5.4+1.3
FH to their backhand · serve +1−2.7±5.2+1.8−4.5
FH to their backhand · rally−2.7±4.9−0.9−1.8
FH to the middle · rally−0.2±2.7+0.5−0.7

Roberta Vinci

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+5.2±6.2+5.0+0.2
FH to the middle · return+0.9±4.1+1.6−0.7
BH slice to the middle · rally−3.2±2.2+1.4−4.6
FH to their forehand · serve +1−3.4±5.4+0.2−3.5
FH to the middle · rally−3.7±3.1−0.8−2.8
FH to the middle · serve +1−3.8±3.3−0.7−3.1

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−6.4±5.6−3.3−3.1
FH to their forehand · return +1−6.2±4.8−0.4−5.8
BH slice to their backhand · rally−5.7±3.4−0.3−5.5
FH to their backhand · serve +1−5.2±5.8+1.8−7.0
FH to their backhand · return−4.8±6.1+1.7−6.4

Against Roberta Vinci-like opponents

Tatjana Maria vMatchesServe pts wonReturn pts won
All charted opponents–58.5%42.6%
Players most similar to Roberta Vinci2 66.1%30.4%

Similar by tactical fingerprint: Karolina Muchova, Diane Parry, Petra Martic, Kirsten Flipkens, Ashleigh Barty, Kiki Bertens, Magdalena Rybarikova, Francesca Schiavone, Amelie Mauresmo. When two players have rarely met, their records against these lookalikes fill the gap.