RallyIQ

Game plan

Martina Hingis v Chris Evert

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

Forecast

Martina Hingis wins, best of 3 52%90%: 23%–80% · best of 5: 53%
Serve points won 53.0% / 52.6% Martina / Chris · tour 56.3%
Strengths only, no similarity priors 49%serve 52.7% / 52.9%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Hingis's record against Chris Evert's tactical lookalikes and in their charted head-to-heads (lookalikes: +1.3 on serve, +1.6 on return vs expectation (957 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

CareerMartinaChris
Direction choice+0.18 ±0.09
better than 83%
−0.03 ±0.13
better than 50%
Shot selection+0.09 ±0.11
better than 54%
−0.21 ±0.17
better than 28%
Execution+1.18 ±0.34
better than 94%
+0.63 ±0.33
better than 83%
Points left on the table2.55 ±0.14
lower than 59%
2.87 ±0.24
lower than 19%

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 Hingis serving

Deuce court

1st serveNowMartina winsv ChrisMatchupOptimal
Wide47%62%63%59.5%±6.260% ▲
Body18%51%55%48.0%±8.93% ▼
T35%67%64%63.1%±7.337% ▲

Optimal v Chris Evert: +0.8±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMartina winsv ChrisMatchupOptimal
Wide53%59%63%56.0%±6.349% ▼
Body12%57%60%60.6%±9.619% ▲
T35%62%62%59.9%±7.632% ▼

Optimal v Chris Evert: ±0.0±0.4 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +2.7 per 100 first serves in before the returner adjusts.

Chris Evert serving

Deuce court

1st serveNowChris winsv MartinaMatchupOptimal
Wide50%58%59%51.3%±5.851%
Body23%60%54%56.8%±8.18% ▼
T26%68%61%61.8%±7.741% ▲

Optimal v Martina Hingis: +0.5±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowChris winsv MartinaMatchupOptimal
Wide55%58%60%51.4%±6.553% ▼
Body21%61%49%54.2%±8.812% ▼
T24%65%59%58.7%±7.535% ▲

Optimal v Martina Hingis: ±0.0±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.0 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 Hingis returning

1st serve to the forehand

ReturnNowTourOwnv ChrisValue
FH through the middle46%+4.2+0.2−1.1+3.2±2.5
FH down the line39%+1.5+5.9+2.3+9.8±3.9
FH crosscourt13%+5.3+0.7+1.5+7.5±4.2
BH through the middle1%+5.2+0.5−0.6+5.1±2.5
FH slice through the middle1%−6.7+0.9−0.2−6.1±2.1

Lean FH down the line: +3.5±2.7 per 100 returns v the current mix (700 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ChrisValue
BH through the middle37%+6.0−2.4−0.6+3.0±2.8
BH crosscourt33%+7.7+1.1−0.8+8.0±3.4
BH slice through the middle11%−6.2+0.6+7.1+1.5±2.1
BH down the line11%+2.2+1.6+2.3+6.0±4.6
BH slice crosscourt7%−4.2−1.1+8.2+2.9±2.8

Lean BH crosscourt: +3.4±2.6 per 100 returns v the current mix (443 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ChrisValue
FH down the line47%−0.6+4.8+0.2+4.4±5.0
FH through the middle34%−3.2+3.0−2.6−2.8±3.0
FH crosscourt10%+0.5−2.4−0.3−2.1±4.3
BH through the middle6%−1.0+0.1+0.6−0.3±2.0
BH inside-out4%+2.2+1.9±0.0+4.1±2.4

Lean FH down the line: +3.4±2.9 per 100 returns v the current mix (268 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv ChrisValue
BH crosscourt40%+1.5+0.7+0.5+2.7±3.0
BH through the middle38%−2.6+0.6+0.6−1.4±2.4
BH down the line15%−0.5+0.3±0.0−0.2±3.7
FH inside-out5%+1.4−2.2+0.2−0.6±3.8
FH through the middle2%−2.7−0.6−2.6−6.0±2.2

Lean BH crosscourt: +2.4±2.1 per 100 returns v the current mix (238 returns charted)

Chris Evert returning

1st serve to the forehand

ReturnNowTourOwnv MartinaValue
FH through the middle35%+4.2+0.4−1.0+3.6±2.6
FH down the line23%+1.5−1.3+1.9+2.1±4.4
FH crosscourt21%+5.3+2.7+4.5+12.5±3.8
FH slice down the line10%−10.5+1.9+3.3−5.3±3.2
FH slice through the middle10%−6.7−0.8+3.6−3.9±2.5

Lean FH crosscourt: +9.1±3.4 per 100 returns v the current mix (353 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MartinaValue
BH through the middle32%+6.0−4.4−0.7+0.9±2.4
BH down the line19%+2.2+2.3+1.5+6.0±4.4
BH crosscourt19%+7.7−0.4+0.2+7.5±3.3
BH slice through the middle12%−6.2−0.7+0.9−6.0±2.5
BH slice crosscourt9%−4.2+4.0+4.8+4.7±3.0

Lean BH crosscourt: +5.4±3.0 per 100 returns v the current mix (418 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MartinaValue
FH crosscourt44%+0.5+1.4+2.9+4.8±4.2
FH through the middle36%−3.2+0.4+0.1−2.7±3.0
FH down the line20%−0.6+1.9+1.3+2.6±5.0

Lean FH crosscourt: +3.1±2.8 per 100 returns v the current mix (153 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MartinaValue
BH through the middle46%−2.6+1.5−1.5−2.5±2.6
BH crosscourt27%+1.5+4.4−0.9+5.0±3.5
BH down the line19%−0.5−1.5+1.8−0.3±5.1
FH through the middle6%−2.7+0.8+0.1−1.9±2.4
FH inside-out3%+1.4−1.2+1.3+1.4±3.5

Lean BH crosscourt: +5.0±3.0 per 100 returns v the current mix (236 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.

Martina Hingis

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+7.1±3.2+5.5+1.7
FH to the middle · serve +1+4.0±2.5+1.8+2.2
BH to their backhand · return +1+3.8±3.1+0.1+3.7
BH slice to the middle · rally+3.3±1.9+0.1+3.2
FH volley to their forehand · rally+3.0±5.8+2.2+0.8
FH to their backhand · return +1+2.5±3.5+0.5+2.0

Avoid

ShotEdgeOwnTheirs
BH to the middle · rally−2.4±1.7+0.2−2.6
BH to their forehand · rally−2.4±3.3+0.6−3.0
BH to their backhand · rally−1.0±1.9−1.1+0.1
FH to their forehand · return +1−0.6±3.3+0.7−1.3
BH to the middle · return+0.3±2.4−0.4+0.7

Chris Evert

Favour

ShotEdgeOwnTheirs
BH to their forehand · return+6.9±3.9+4.9+2.0
BH slice to their backhand · rally+6.3±2.5+1.3+5.0
FH to their forehand · return+5.1±3.5+0.7+4.4
BH to their forehand · return +1+4.5±4.3+3.0+1.5
FH to their backhand · return+3.9±3.5+2.0+1.8
BH slice to the middle · rally+3.0±2.2+1.9+1.0

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−3.2±3.3−1.8−1.4
BH to their backhand · serve +1−3.0±2.6−1.7−1.3
BH to the middle · rally−2.1±1.6−1.2−0.8
BH to the middle · return−1.6±1.9−1.5−0.1
BH to their forehand · serve +1−1.2±3.8+0.7−2.0

Against Chris Evert-like opponents

Martina Hingis vMatchesServe pts wonReturn pts won
All charted opponents–55.1%48.0%
Players most similar to Chris Evert7 56.1%47.8%

Similar by tactical fingerprint: Elina Avanesyan, Sara Errani, Angelique Kerber, Anna Lena Friedsam, Agnieszka Radwanska, Mary Pierce, Conchita Martinez, Jennifer Capriati, Arantxa Sanchez Vicario. When two players have rarely met, their records against these lookalikes fill the gap.