Game plan

Jelena Jankovic v Martina Hingis

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

Forecast

Jelena Jankovic wins, best of 3 5%90%: 1%–13% · best of 5: 2%

Serve points won 44.3% / 56.7% Jelena / Martina · tour 56.4%

Strengths only, no similarity priors 6%serve 45.2% / 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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Jelena Jankovic's record against Martina Hingis's tactical lookalikes and in their charted head-to-heads (lookalikes: −4.6 on serve, +1.6 on return vs expectation (759 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

Career	Jelena	Martina
Direction choice	+0.04 ±0.09 better than 62%	+0.18 ±0.09 better than 83%
Shot selection	−0.06 ±0.10 better than 40%	+0.09 ±0.11 better than 54%
Execution	+0.66 ±0.50 better than 84%	+1.18 ±0.34 better than 94%
Points left on the table	2.56 ±0.11 lower than 57%	2.55 ±0.14 lower than 59%

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.

Jelena Jankovic serving

Deuce court

1st serve	Now	Jelena wins	v Martina	Matchup	Optimal
Wide	33%	65%	59%	58.2%±6.7	49% ▲
Body	20%	52%	54%	48.9%±8.6	5% ▼
T	46%	59%	61%	52.0%±7.4	46%

Optimal v Martina Hingis: +1.0±1.0 per 100 first serves (faults included) over the current mix. Serving wide every time would read +4.7 per 100 first serves in before the returner adjusts.

Ad court

1st serve	Now	Jelena wins	v Martina	Matchup	Optimal
Wide	50%	58%	60%	52.0%±6.7	65% ▲
Body	17%	52%	49%	44.3%±9.3	17%
T	33%	50%	59%	43.6%±7.2	18% ▼

Optimal v Martina Hingis: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.1 per 100 first serves in before the returner adjusts.

Martina Hingis serving

Deuce court

1st serve	Now	Martina wins	v Jelena	Matchup	Optimal
Wide	47%	62%	68%	64.6%±5.6	47%
Body	18%	51%	57%	50.1%±9.0	3% ▼
T	35%	67%	76%	74.7%±6.4	50% ▲

Optimal v Jelena Jankovic: +1.3±1.0 per 100 first serves (faults included) over the current mix. Serving T every time would read +9.3 per 100 first serves in before the returner adjusts.

Ad court

1st serve	Now	Martina wins	v Jelena	Matchup	Optimal
Wide	53%	59%	72%	65.4%±6.6	50% ▼
Body	12%	57%	48%	48.7%±10.0	0% ▼
T	35%	62%	68%	65.8%±6.3	50% ▲

Optimal v Jelena Jankovic: +0.7±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.3 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.

Jelena Jankovic returning

1st serve to the forehand

Return	Now	Tour	Own	v Martina	Value
FH through the middle	45%	+4.2	+1.5	−1.0	+4.7±2.3
FH down the line	34%	+1.5	+3.0	+1.9	+6.4±4.1
FH crosscourt	14%	+5.3	−1.1	+4.5	+8.7±3.8
FH slice through the middle	4%	−6.7	+1.4	+3.6	−1.7±2.4
FH slice crosscourt	2%	−6.6	+0.1	+2.2	−4.3±2.3

Lean FH crosscourt: +3.4±3.7 per 100 returns v the current mix (505 returns charted, inside the 90% margin)

1st serve to the backhand

Return	Now	Tour	Own	v Martina	Value
BH through the middle	39%	+6.0	+0.5	−0.7	+5.8±2.4
BH down the line	16%	+2.2	−0.1	+1.5	+3.5±4.5
BH slice through the middle	16%	−6.2	−1.6	+0.9	−6.9±2.5
BH crosscourt	15%	+7.7	−3.3	+0.2	+4.6±3.4
BH slice crosscourt	11%	−4.2	−0.1	+4.8	+0.6±3.0

Lean BH through the middle: +3.9±1.8 per 100 returns v the current mix (295 returns charted)

2nd serve to the forehand

Return	Now	Tour	Own	v Martina	Value
FH down the line	42%	−0.6	+3.7	+1.3	+4.5±5.1
FH through the middle	37%	−3.2	−0.2	+0.1	−3.3±3.0
FH crosscourt	20%	+0.5	−1.7	+2.9	+1.7±4.2

Lean FH down the line: +3.5±3.2 per 100 returns v the current mix (177 returns charted)

2nd serve to the backhand

Return	Now	Tour	Own	v Martina	Value
BH down the line	43%	−0.5	+1.3	+1.8	+2.5±5.1
BH through the middle	41%	−2.6	−0.2	−1.5	−4.3±2.7
BH crosscourt	17%	+1.5	+1.0	−0.9	+1.6±3.4

Lean BH down the line: +2.9±3.2 per 100 returns v the current mix (143 returns charted, inside the 90% margin)

Martina Hingis returning

1st serve to the forehand

Return	Now	Tour	Own	v Jelena	Value
FH through the middle	46%	+4.2	+0.2	+1.2	+5.6±2.3
FH down the line	39%	+1.5	+5.9	+1.0	+8.4±4.0
FH crosscourt	13%	+5.3	+0.7	+2.3	+8.3±4.2
BH through the middle	1%	+5.2	+0.5	+1.6	+7.4±2.0
FH slice through the middle	1%	−6.7	+0.9	−1.0	−6.9±2.0

Lean FH down the line: +1.5±2.7 per 100 returns v the current mix (700 returns charted, inside the 90% margin)

1st serve to the backhand

Return	Now	Tour	Own	v Jelena	Value
BH through the middle	37%	+6.0	−2.4	+1.6	+5.2±2.3
BH crosscourt	33%	+7.7	+1.1	+1.7	+10.5±3.2
BH slice through the middle	11%	−6.2	+0.6	+0.7	−4.9±2.6
BH down the line	11%	+2.2	+1.6	+0.6	+4.3±4.7
BH slice crosscourt	7%	−4.2	−1.1	±0.0	−5.3±2.8

Lean BH crosscourt: +5.9±2.4 per 100 returns v the current mix (443 returns charted)

2nd serve to the forehand

Return	Now	Tour	Own	v Jelena	Value
FH down the line	47%	−0.6	+4.8	−3.0	+1.2±5.0
FH through the middle	34%	−3.2	+3.0	−0.5	−0.7±2.9
FH crosscourt	10%	+0.5	−2.4	+5.1	+3.2±4.2
BH through the middle	6%	−1.0	+0.1	+1.9	+1.0±2.1
BH inside-out	4%	+2.2	+1.9	±0.0	+4.1±4.0

Lean FH crosscourt: +2.4±4.6 per 100 returns v the current mix (268 returns charted, inside the 90% margin)

2nd serve to the backhand

Return	Now	Tour	Own	v Jelena	Value
BH crosscourt	40%	+1.5	+0.7	+3.6	+5.8±3.6
BH through the middle	38%	−2.6	+0.6	+1.9	±0.0±2.6
BH down the line	15%	−0.5	+0.3	±0.0	−0.2±5.2
FH inside-out	5%	+1.4	−2.2	−3.0	−3.9±3.8
FH through the middle	2%	−2.7	−0.6	−0.5	−3.8±2.0

Lean BH crosscourt: +3.8±2.5 per 100 returns v the current mix (238 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 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.

Jelena Jankovic

Favour

Shot	Edge	Own	Theirs
BH to their forehand · return +1	+5.7±5.8	+3.7	+2.0
FH to their backhand · return	+3.5±4.2	+1.0	+2.6
BH slice to the middle · rally	+3.4±3.0	+2.1	+1.3
BH to their forehand · return	+3.4±4.9	+2.5	+0.9
FH to their forehand · return	+3.4±4.5	±0.0	+3.4
FH to their forehand · return +1	+3.0±4.6	+0.4	+2.6

Avoid

Shot	Edge	Own	Theirs
BH to their backhand · return	−6.3±4.1	−5.1	−1.3
FH to the middle · return +1	−3.8±3.7	−3.1	−0.7
FH to their backhand · return +1	−2.9±4.8	−3.3	+0.4
BH to their backhand · return +1	−2.6±3.5	−1.2	−1.4
FH to their forehand · serve +1	−2.4±4.6	−0.6	−1.8

Martina Hingis

Favour

Shot	Edge	Own	Theirs
FH to their backhand · rally	+8.4±2.9	+0.9	+7.5
BH to their backhand · return	+6.6±3.6	+2.2	+4.4
FH to their forehand · return	+5.8±5.2	+0.1	+5.7
FH to their backhand · return	+4.8±4.2	+6.2	−1.4
BH to their forehand · rally	+4.2±3.5	+1.5	+2.7
FH to the middle · return	+3.5±2.4	+2.8	+0.7

Avoid

Shot	Edge	Own	Theirs
BH slice to their backhand · rally	−1.5±4.0	−1.9	+0.5
FH to their backhand · return +1	−1.2±4.9	+0.5	−1.7
FH to their forehand · serve +1	−1.2±4.4	+0.3	−1.4
FH to the middle · serve +1	−0.3±3.1	+2.0	−2.3
FH to the middle · return +1	−0.3±3.5	+0.9	−1.1

Against Martina Hingis-like opponents

Jelena Jankovic v	Matches	Serve pts won	Return pts won
All charted opponents	–	49.9%	41.1%
Players most similar to Martina Hingis	5	45.5%	43.6%

Similar by tactical fingerprint: Mirra Andreeva, Elise Mertens, Victoria Azarenka, Simona Halep, Svetlana Kuznetsova, Vera Zvonareva, Agnieszka Radwanska, Elena Dementieva, Mary Pierce. When two players have rarely met, their records against these lookalikes fill the gap.