RallyIQ

Game plan

Martina Navratilova v Gabriela Sabatini

Every number combines what Martina Navratilova does well with what Gabriela Sabatini allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Martina Navratilova wins, best of 3 51%90%: 24%–78% · best of 5: 52%
Serve points won 57.0% / 56.7% Martina / Gabriela · tour 56.4%
Strengths only, no similarity priors 49%serve 56.8% / 57.0%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Martina Navratilova's record against Gabriela Sabatini's tactical lookalikes and in their charted head-to-heads (lookalikes: +0.5 on serve, +0.8 on return vs expectation (1966 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

CareerMartinaGabriela
Direction choice+0.05 ±0.09
better than 63%
+0.07 ±0.21
better than 69%
Shot selection+0.74 ±0.23
better than 98%
−0.44 ±0.25
better than 13%
Execution−0.47 ±0.49
better than 35%
+0.70 ±0.72
better than 85%
Points left on the table4.11 ±0.23
lower than 0%
3.01 ±0.32
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.

Martina Navratilova serving

Deuce court

1st serveNowMartina winsv GabrielaMatchupOptimal
Wide38%65%59%57.7%±7.625% ▼
Body15%61%48%51.8%±9.813% ▼
T47%66%64%62.1%±7.962% ▲

Optimal v Gabriela Sabatini: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMartina winsv GabrielaMatchupOptimal
Wide59%64%62%59.9%±6.855% ▼
Body12%58%53%55.2%±11.30% ▼
T29%67%58%60.4%±9.645% ▲

Optimal v Gabriela Sabatini: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +0.9 per 100 first serves in before the returner adjusts.

Gabriela Sabatini serving

Deuce court

1st serveNowGabriela winsv MartinaMatchupOptimal
Wide32%63%61%58.6%±8.035% ▲
Body24%62%58%62.2%±9.69% ▼
T44%62%67%61.1%±8.856% ▲

Optimal v Martina Navratilova: +0.1±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +1.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowGabriela winsv MartinaMatchupOptimal
Wide51%64%57%55.4%±7.736% ▼
Body18%65%62%70.2%±9.118%
T31%60%67%62.6%±8.646% ▲

Optimal v Martina Navratilova: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +9.9 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.

Martina Navratilova returning

1st serve to the forehand

ReturnNowTourOwnv GabrielaValue
FH through the middle42%+4.2−2.8−2.2−0.9±2.8
FH crosscourt40%+5.3+2.1+1.5+9.0±4.0
FH down the line14%+1.5+0.1+2.5+4.2±4.6
BH slice through the middle3%−4.8+1.0+0.4−3.4±2.3
FH slice through the middle1%−6.7+0.5−0.3−6.6±2.0

Lean FH crosscourt: +5.3±2.8 per 100 returns v the current mix (420 returns charted)

1st serve to the backhand

ReturnNowTourOwnv GabrielaValue
BH slice through the middle43%−6.2+7.2+0.4+1.4±2.1
BH slice crosscourt24%−4.2+6.2+2.9+5.0±2.5
BH slice down the line13%−12.5+8.8+3.8+0.2±3.4
BH through the middle10%+6.0−0.9−2.3+2.8±2.9
BH crosscourt4%+7.7−2.5−0.2+5.1±3.5

Lean BH crosscourt: +2.5±3.6 per 100 returns v the current mix (976 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv GabrielaValue
FH crosscourt40%+0.5+1.6+0.2+2.3±4.4
FH down the line31%−0.6−4.6+4.5−0.6±5.2
FH through the middle27%−3.2−2.6+0.4−5.4±3.1
FH slice down the line3%−14.1+1.3±0.0−12.7±1.5

Lean FH crosscourt: +3.4±3.2 per 100 returns v the current mix (193 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv GabrielaValue
BH slice through the middle35%−11.7+5.6±0.0−6.1±2.0
BH slice down the line20%−10.6+6.9+2.5−1.2±4.1
BH slice crosscourt15%−7.5+2.7+1.2−3.7±2.6
BH down the line6%−0.5+3.2+0.1+2.8±4.4
FH inside-in6%+0.7+4.2+0.2+5.2±4.4

Lean FH inside-in: +7.5±4.4 per 100 returns v the current mix (298 returns charted)

Gabriela Sabatini returning

1st serve to the forehand

ReturnNowTourOwnv MartinaValue
FH through the middle38%+4.2−1.1−3.2−0.1±2.7
FH down the line33%+1.5+2.8−1.7+2.6±4.5
FH slice through the middle14%−6.7+2.0+0.9−3.8±2.5
FH crosscourt9%+5.3+2.2+3.2+10.7±3.8
FH slice down the line7%−10.5+2.6−1.6−9.5±2.9

Lean FH crosscourt: +10.2±4.0 per 100 returns v the current mix (210 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MartinaValue
BH slice crosscourt29%−4.2+3.6+12.4+11.8±2.9
BH slice through the middle26%−6.2+3.9−2.0−4.3±2.3
BH through the middle24%+6.0−6.6−4.4−5.0±2.6
BH crosscourt10%+7.7±0.0+3.1+10.8±3.5
BH down the line8%+2.2−1.2−2.3−1.3±4.2

Lean BH slice crosscourt: +9.9±2.3 per 100 returns v the current mix (257 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MartinaValue
FH down the line40%−0.6+4.1+2.0+5.5±5.0
FH through the middle30%−3.2+0.9+1.0−1.2±2.8
FH slice through the middle13%−15.2+2.2±0.0−13.0±1.5
FH crosscourt10%+0.5+1.6+2.2+4.3±3.7
FH slice down the line7%−14.1+3.5±0.0−10.6±1.6

Lean FH down the line: +5.6±3.2 per 100 returns v the current mix (92 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MartinaValue
FH inside-out26%+1.4+0.1+2.0+3.4±4.0
BH slice crosscourt19%−7.5+3.6+2.5−1.4±2.7
BH crosscourt15%+1.5+0.7+5.5+7.6±3.3
BH through the middle12%−2.6+0.2+1.3−1.2±2.3
BH slice through the middle11%−11.7+0.8+2.0−8.9±2.1

Lean FH inside-out: +2.8±3.1 per 100 returns v the current mix (84 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 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.

Martina Navratilova

Favour

ShotEdgeOwnTheirs
BH slice to their backhand · return+14.0±3.8+6.9+7.1
BH slice to their forehand · rally+11.3±4.3+5.4+6.0
BH slice to their backhand · serve +1+10.5±4.3+5.5+5.0
BH slice to the middle · return+7.6±2.9+7.1+0.5
FH to their backhand · return+7.4±5.3+5.3+2.1
BH slice to their backhand · return +1+7.4±3.9+2.4+5.0

Avoid

ShotEdgeOwnTheirs
BH to the middle · rally−6.9±3.4−3.9−3.0
BH to their backhand · rally−4.9±4.5−4.0−1.0
FH to the middle · return−4.4±3.5−2.0−2.3
BH to their forehand · rally−3.6±6.4−2.5−1.1
FH to their backhand · serve +1−3.3±6.0−2.1−1.2

Gabriela Sabatini

Favour

ShotEdgeOwnTheirs
BH slice to their backhand · return+14.0±4.0+8.0+6.0
BH slice to their forehand · rally+12.9±5.0+3.9+9.0
BH slice to their backhand · rally+10.6±3.6+5.8+4.8
BH slice to their backhand · serve +1+9.0±4.5+6.6+2.3
BH slice to the middle · rally+5.6±3.3+3.3+2.3
BH to their backhand · return +1+5.0±5.1+1.5+3.5

Avoid

ShotEdgeOwnTheirs
BH to the middle · return−6.9±3.4−4.1−2.8
FH to their backhand · serve +1−6.3±5.1−2.7−3.6
FH to the middle · return−4.5±3.3−0.8−3.6
BH to the middle · rally−3.8±3.1−1.5−2.3
BH to their backhand · serve +1−2.3±5.0−3.1+0.9

Against Gabriela Sabatini-like opponents

Martina Navratilova vMatchesServe pts wonReturn pts won
All charted opponents–58.0%41.5%
Players most similar to Gabriela Sabatini12 56.3%43.9%

Similar by tactical fingerprint: Saisai Zheng, Vera Zvonareva, Agnieszka Radwanska, Francesca Schiavone, Jelena Jankovic, Amelie Mauresmo, Martina Hingis, Conchita Martinez, Arantxa Sanchez Vicario, Chris Evert. When two players have rarely met, their records against these lookalikes fill the gap.