RallyIQ

Game plan

Dinara Safina v Monica Seles

Every number combines what Dinara Safina does well with what Monica Seles allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Dinara Safina wins, best of 3 56%90%: 15%–90% · best of 5: 57%
Serve points won 59.6% / 58.4% Dinara / Monica · tour 58.1%
Strengths only, no similarity priors 56%serve 59.6% / 58.4%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerDinaraMonica
Direction choice+0.32 ±0.09
better than 96%
+0.28 ±0.09
better than 93%
Shot selection−0.04 ±0.13
better than 42%
+0.21 ±0.12
better than 67%
Execution+0.16 ±0.57
better than 68%
+0.14 ±0.30
better than 68%
Points left on the table1.99 ±0.13
lower than 99%
2.59 ±0.13
lower than 53%

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.

Dinara Safina serving

Deuce court

1st serveNowDinara winsv MonicaMatchupOptimal
Wide35%68%65%67.1%±7.250% ▲
Body15%59%58%59.2%±10.015%
T51%61%65%58.0%±7.235% ▼

Optimal v Monica Seles: +0.8±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowDinara winsv MonicaMatchupOptimal
Wide48%62%59%55.4%±7.546% ▼
Body13%53%54%50.9%±11.10% ▼
T39%69%63%68.3%±7.254% ▲

Optimal v Monica Seles: +0.7±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +8.4 per 100 first serves in before the returner adjusts.

Monica Seles serving

Deuce court

1st serveNowMonica winsv DinaraMatchupOptimal
Wide30%67%58%58.5%±7.730%
Body16%57%60%59.8%±10.231% ▲
T55%62%68%62.4%±8.339% ▼

Optimal v Dinara Safina: +0.2±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMonica winsv DinaraMatchupOptimal
Wide49%66%66%66.0%±7.142% ▼
Body8%63%60%66.3%±10.60% ▼
T43%68%64%68.2%±7.458% ▲

Optimal v Dinara Safina: +0.4±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.2 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.

Dinara Safina returning

1st serve to the forehand

ReturnNowTourOwnv MonicaValue
FH through the middle49%+4.2+1.0−3.8+1.4±2.7
FH crosscourt28%+5.3+1.4+2.9+9.6±4.1
FH down the line18%+1.5+0.8−1.8+0.5±4.6
FH slice through the middle5%−6.7+0.5+2.2−4.0±2.3

Lean FH crosscourt: +6.3±3.3 per 100 returns v the current mix (281 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MonicaValue
BH through the middle43%+6.0−0.4−2.6+3.0±2.5
BH crosscourt36%+7.7+0.4−0.2+7.9±3.5
BH down the line13%+2.2+0.3−1.9+0.6±4.4
BH slice through the middle8%−6.2+0.8+4.1−1.3±2.1

Lean BH crosscourt: +3.8±2.6 per 100 returns v the current mix (205 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MonicaValue
FH crosscourt45%+0.5+0.7+0.5+1.7±4.4
FH through the middle35%−3.2+1.0−2.0−4.2±3.0
FH down the line20%−0.6−2.0±0.0−2.6±4.9

Lean FH crosscourt: +3.0±2.8 per 100 returns v the current mix (103 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MonicaValue
BH through the middle48%−2.6−2.2−2.1−6.9±2.7
BH crosscourt40%+1.5+1.6+2.3+5.4±3.5
BH down the line12%−0.5+2.2+3.0+4.6±4.6

Lean BH crosscourt: +6.0±2.5 per 100 returns v the current mix (83 returns charted)

Monica Seles returning

1st serve to the forehand

ReturnNowTourOwnv DinaraValue
FH through the middle45%+4.2−2.2−1.7+0.2±2.7
FH crosscourt42%+5.3+0.8−2.7+3.4±3.9
FH down the line10%+1.5+1.0−1.6+0.9±4.7
FH slice through the middle2%−6.7+0.6+1.0−5.1±1.9
FH slice crosscourt1%−6.6+0.4±0.0−6.2±1.1

Lean FH crosscourt: +1.9±2.6 per 100 returns v the current mix (525 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv DinaraValue
BH through the middle47%+6.0−2.1+0.7+4.6±2.2
BH crosscourt32%+7.7−2.5−0.5+4.8±3.3
BH down the line10%+2.2−0.6+0.2+1.8±4.5
BH slice through the middle4%−6.2+1.6−0.6−5.2±2.2
BH slice crosscourt3%−4.2−2.6±0.0−6.8±1.9

Lean BH crosscourt: +1.4±2.5 per 100 returns v the current mix (646 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv DinaraValue
FH crosscourt47%+0.5+1.7−0.6+1.7±4.3
FH through the middle27%−3.2−1.0−0.8−5.0±3.1
FH down the line26%−0.6+1.9+0.6+2.0±5.3

Lean FH down the line: +2.0±4.5 per 100 returns v the current mix (158 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv DinaraValue
BH crosscourt48%+1.5+3.0−2.7+1.8±3.5
BH through the middle36%−2.6+1.6−2.2−3.1±2.7
BH down the line14%−0.5+1.9+2.7+4.0±5.2
FH inside-in3%+0.7+3.9−0.6+4.1±3.8

Lean BH down the line: +3.6±4.9 per 100 returns v the current mix (219 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.

Dinara Safina

Favour

ShotEdgeOwnTheirs
BH to their forehand · return+3.3±4.2+2.2+1.1
FH to their backhand · serve +1+2.8±4.4+2.8±0.0
BH to their backhand · return+2.5±3.1+1.9+0.6
FH to their backhand · return+2.2±3.9−0.1+2.2
BH to their backhand · return +1+2.1±4.1+2.3−0.2
FH to the middle · serve +1+1.6±2.6−0.1+1.7

Avoid

ShotEdgeOwnTheirs
BH to the middle · return−3.1±3.0−0.9−2.2
BH to their backhand · rally−1.8±3.8+1.1−2.9
FH to their backhand · rally−1.6±4.9−4.5+2.9
FH to the middle · return−1.4±3.7+1.6−3.0
BH to the middle · rally−1.3±2.6−0.9−0.4

Monica Seles

Favour

ShotEdgeOwnTheirs
FH to their backhand · return +1+3.7±3.7+3.0+0.7
BH to their forehand · return +1+3.6±4.2+1.1+2.4
FH to their forehand · return+2.7±5.0+3.8−1.1
BH to their backhand · return +1+2.2±4.2+0.8+1.4
FH to their backhand · serve +1+2.0±4.5+0.1+1.8
BH to their backhand · return+1.9±3.0±0.0+1.9

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−5.5±5.1−2.2−3.3
FH to the middle · return−4.3±3.6−3.6−0.7
FH to their forehand · rally−4.2±4.4−1.4−2.8
FH to their backhand · rally−3.4±4.9−5.1+1.7
BH to their forehand · rally−3.2±5.1−0.8−2.4

Against Monica Seles-like opponents

Dinara Safina vMatchesServe pts wonReturn pts won
All charted opponents–54.2%42.8%

Similar by tactical fingerprint: Leylah Fernandez, Linda Fruhvirtova, Angelique Kerber, Qiang Wang, Simona Halep, Mona Barthel, Vera Zvonareva, Kate Makarova, Lindsay Davenport. When two players have rarely met, their records against these lookalikes fill the gap.