RallyIQ

Game plan

Jana Novotna v Conchita Martinez

Every number combines what Jana Novotna 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

Jana Novotna wins, best of 3 56%90%: 22%–86% · best of 5: 58%
Serve points won 55.9% / 54.8% Jana / Conchita · tour 56.3%
Strengths only, no similarity priors 60%serve 56.3% / 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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Jana Novotna's record against Conchita Martinez's tactical lookalikes and in their charted head-to-heads (lookalikes: −1.2 on serve, −1.0 on return vs expectation (1195 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

CareerJanaConchita
Direction choice+0.23 ±0.18
better than 89%
+0.23 ±0.15
better than 88%
Shot selection−0.64 ±0.34
better than 8%
−0.92 ±0.32
better than 4%
Execution+0.13 ±0.70
better than 67%
+1.03 ±0.87
better than 93%
Points left on the table3.55 ±0.47
lower than 1%
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.

Jana Novotna serving

Deuce court

1st serveNowJana winsv ConchitaMatchupOptimal
Wide44%65%72%71.6%±8.959% ▲
Body24%54%59%54.9%±12.89% ▼
T32%62%64%57.8%±12.332%

Optimal v Conchita Martinez: +1.1±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +8.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJana winsv ConchitaMatchupOptimal
Wide33%60%66%61.3%±10.133%
Body27%44%50%38.6%±12.211% ▼
T41%70%67%71.8%±10.756% ▲

Optimal v Conchita Martinez: +1.8±1.3 per 100 first serves (faults included) over the current mix. Serving T every time would read +12.2 per 100 first serves in before the returner adjusts.

Conchita Martinez serving

Deuce court

1st serveNowConchita winsv JanaMatchupOptimal
Wide46%58%64%56.1%±9.446%
Body20%52%58%52.7%±13.45% ▼
T34%63%67%61.6%±11.149% ▲

Optimal v Jana Novotna: +0.7±1.2 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 serveNowConchita winsv JanaMatchupOptimal
Wide55%55%60%48.5%±9.040% ▼
Body14%59%55%58.3%±14.414%
T31%57%66%58.7%±11.546% ▲

Optimal v Jana Novotna: +0.4±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.7 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.

Jana Novotna returning

1st serve to the forehand

ReturnNowTourOwnv ConchitaValue
FH slice through the middle45%−6.7+5.1+0.5−1.2±2.2
FH through the middle15%+4.2−1.6±0.0+2.6±3.2
FH slice crosscourt14%−6.6+2.8±0.0−3.9±1.9
FH slice down the line14%−10.5+4.2±0.0−6.3±2.4
FH down the line6%+1.5−0.5+1.3+2.3±4.3

Lean FH through the middle: +3.7±2.9 per 100 returns v the current mix (222 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ConchitaValue
BH slice through the middle49%−6.2+2.4+2.8−1.1±2.5
BH slice crosscourt41%−4.2+6.1+4.5+6.4±2.9
BH slice down the line11%−12.5+3.0+3.3−6.2±3.3

Lean BH slice crosscourt: +5.0±2.2 per 100 returns v the current mix (217 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ConchitaValue
FH crosscourt30%+0.5+1.4+0.9+2.8±4.1
FH down the line22%−0.6−0.5+1.6+0.5±4.6
FH through the middle22%−3.2−0.8−1.4−5.4±2.8
FH slice through the middle12%−15.2+2.2±0.0−13.0±1.4
FH slice crosscourt8%−14.9+2.9±0.0−12.0±1.3

Lean FH crosscourt: +6.3±3.1 per 100 returns v the current mix (92 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv ConchitaValue
BH slice crosscourt38%−7.5+0.9+3.6−3.0±2.8
BH slice through the middle34%−11.7+2.1+0.6−9.0±2.3
BH slice down the line15%−10.6+2.4±0.0−8.2±2.3
FH inside-out12%+1.4−3.0+1.6−0.1±3.3

Lean BH slice crosscourt: +2.5±2.0 per 100 returns v the current mix (65 returns charted)

Conchita Martinez returning

1st serve to the forehand

ReturnNowTourOwnv JanaValue
FH through the middle49%+4.2−0.4−1.9+1.8±3.1
FH down the line34%+1.5+2.0+0.4+3.9±4.7
FH crosscourt17%+5.3+2.9+1.7+9.9±4.1

Lean FH crosscourt: +6.0±4.1 per 100 returns v the current mix (106 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JanaValue
BH slice through the middle36%−6.2−1.1+0.8−6.6±2.6
BH slice crosscourt28%−4.2+3.8+1.6+1.2±3.0
BH slice down the line12%−12.5+3.1+1.2−8.2±3.3
BH through the middle10%+6.0+0.5−1.1+5.4±2.8
BH crosscourt9%+7.7+0.3+2.6+10.6±3.4

Lean BH crosscourt: +11.8±3.4 per 100 returns v the current mix (165 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JanaValue
FH down the line47%−0.6+3.3+4.5+7.3±5.1
FH crosscourt29%+0.5−0.2+2.2+2.5±4.1
FH through the middle24%−3.2−0.1−2.7−6.0±2.8

Lean FH down the line: +4.6±3.0 per 100 returns v the current mix (49 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.

Jana Novotna

Favour

ShotEdgeOwnTheirs
BH slice to their forehand · rally+12.2±3.4+8.6+3.6
BH slice to their backhand · return+10.3±2.8+5.1+5.2
BH slice to their backhand · return +1+9.3±2.8+5.8+3.6
BH slice to their backhand · rally+7.2±2.3+4.2+2.9
BH slice to the middle · return+3.7±2.3+1.6+2.1
BH slice to the middle · rally+3.6±2.3+2.3+1.2

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−3.8±4.3−0.4−3.4
FH to the middle · return−3.2±3.1−2.7−0.4
FH to their backhand · serve +1−1.8±4.2−0.5−1.3
FH to their forehand · rally+0.6±3.2+1.2−0.5
FH to their backhand · rally+1.5±3.6+0.1+1.4

Conchita Martinez

Favour

ShotEdgeOwnTheirs
BH slice to their forehand · rally+6.5±3.6+3.9+2.6
FH to their backhand · return+6.2±4.2+3.1+3.1
BH slice to their backhand · rally+4.3±2.6+1.1+3.3
FH to the middle · rally+3.5±2.7+2.5+1.0
FH to their forehand · rally+1.8±3.1+0.3+1.4
FH to their backhand · serve +1+0.7±3.9−0.1+0.8

Avoid

ShotEdgeOwnTheirs
BH to the middle · rally−5.9±2.6−1.0−4.9
FH to their forehand · serve +1−5.8±4.0+0.1−5.9
FH to the middle · return−4.2±2.8−1.1−3.1
BH to their backhand · rally−3.0±3.2−0.7−2.3
BH to their forehand · rally±0.0±4.6+1.3−1.3

Against Conchita Martinez-like opponents

Jana Novotna vMatchesServe pts wonReturn pts won
All charted opponents–55.3%41.5%
Players most similar to Conchita Martinez8 52.8%41.1%

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.