RallyIQ

Game plan

Linda Noskova v Jil Teichmann

Every number combines what Linda Noskova does well with what Jil Teichmann allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Linda Noskova wins, best of 3 82%90%: 49%–97% · best of 5: 88%
Serve points won 64.2% / 57.0% Linda / Jil · tour 58.1%
Strengths only, no similarity priors 82%serve 63.9% / 56.8%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Linda Noskova's record against Jil Teichmann's tactical lookalikes and in their charted head-to-heads (lookalikes: +2.1 on serve, −2.2 on return vs expectation (376 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

CareerLindaJil
Direction choice+0.14 ±0.05
better than 79%
−0.19 ±0.09
better than 18%
Shot selection−0.07 ±0.09
better than 39%
+0.14 ±0.14
better than 60%
Execution+0.02 ±0.49
better than 62%
−0.19 ±0.42
better than 51%
Points left on the table2.63 ±0.08
lower than 47%
3.14 ±0.15
lower than 6%

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.

Structural compatibility

Expected edge per 100 rally shots from style alone: Linda Noskova +0.04, Jil Teichmann −0.05. Each player's shot mix weighted by their own skill with each shot and by how much the other gives up against it. This is why some rankings gaps don't hold in a given matchup.

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.

Linda Noskova serving

Deuce court

1st serveNowLinda winsv JilMatchupOptimal
Wide39%70%65%68.9%±5.055% ▲
Body10%57%57%56.0%±8.50% ▼
T50%73%67%72.7%±5.445% ▼

Optimal v Jil Teichmann: +0.9±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowLinda winsv JilMatchupOptimal
Wide49%72%65%71.4%±5.664% ▲
Body8%52%60%55.9%±9.00% ▼
T42%68%60%63.8%±5.836% ▼

Optimal v Jil Teichmann: +0.6±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.5 per 100 first serves in before the returner adjusts.

Jil Teichmann serving

Deuce court

1st serveNowJil winsv LindaMatchupOptimal
Wide31%61%65%59.6%±6.431%
Body25%56%57%55.8%±7.210% ▼
T44%61%74%67.8%±5.759% ▲

Optimal v Linda Noskova: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJil winsv LindaMatchupOptimal
Wide52%64%70%67.8%±5.467% ▲
Body23%57%58%59.2%±7.78% ▼
T24%66%66%68.3%±7.025%

Optimal v Linda Noskova: +0.5±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.

Linda Noskova returning

1st serve to the forehand

ReturnNowTourOwnv JilValue
FH through the middle40%+4.2+2.7+1.4+8.2±2.3
FH down the line19%+1.5±0.0−3.9−2.4±4.5
FH crosscourt16%+5.3+0.3+2.1+7.7±4.0
FH slice through the middle15%−6.7+1.2−1.1−6.6±2.5
FH slice crosscourt8%−6.6−0.6+0.3−7.0±2.4

Lean FH through the middle: +6.0±1.8 per 100 returns v the current mix (714 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JilValue
BH through the middle41%+6.0−0.9+0.3+5.4±2.1
BH crosscourt25%+7.7−0.7+3.3+10.3±3.3
BH down the line12%+2.2−3.7−1.4−2.9±4.4
BH slice through the middle11%−6.2−1.3+0.3−7.3±2.5
BH slice crosscourt8%−4.2−1.9−0.1−6.2±2.8

Lean BH crosscourt: +7.7±2.7 per 100 returns v the current mix (631 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JilValue
FH through the middle44%−3.2−2.0+2.7−2.6±2.8
FH crosscourt27%+0.5+0.3+0.6+1.4±4.3
FH down the line25%−0.6−5.0−2.3−7.9±5.2
FH slice crosscourt4%−14.9−0.6±0.0−15.5±1.3

Lean FH crosscourt: +4.7±3.6 per 100 returns v the current mix (197 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv JilValue
BH crosscourt39%+1.5−1.9−2.8−3.2±3.3
BH through the middle32%−2.6+0.9+2.0+0.4±2.5
BH down the line26%−0.5+2.2+0.3+1.9±5.2
FH through the middle3%−2.7−0.6+2.7−0.6±2.2

Lean BH down the line: +2.6±4.1 per 100 returns v the current mix (338 returns charted, inside the 90% margin)

Jil Teichmann returning

1st serve to the forehand

ReturnNowTourOwnv LindaValue
FH through the middle50%+4.2+1.2+0.6+5.9±2.3
FH crosscourt27%+5.3+2.6−1.1+6.9±3.9
FH down the line13%+1.5−0.2−0.5+0.9±4.3
FH slice through the middle6%−6.7−0.3−0.3−7.3±2.3
FH slice crosscourt4%−6.6+1.6−0.9−5.9±2.5

Lean FH crosscourt: +2.7±3.2 per 100 returns v the current mix (400 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv LindaValue
BH through the middle55%+6.0±0.0−0.4+5.6±2.0
BH crosscourt22%+7.7+1.1+4.4+13.1±3.4
BH down the line13%+2.2−0.2−0.6+1.5±4.3
BH slice through the middle7%−6.2−0.9−0.6−7.7±2.5
BH slice crosscourt2%−4.2−0.8−2.5−7.4±2.8

Lean BH crosscourt: +8.0±2.9 per 100 returns v the current mix (570 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv LindaValue
FH through the middle44%−3.2−2.1−1.3−6.5±2.8
FH crosscourt41%+0.5−1.4−2.2−3.0±4.4
FH down the line16%−0.6+1.3−3.6−2.9±4.7

Lean FH down the line: +1.7±4.5 per 100 returns v the current mix (116 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv LindaValue
BH through the middle39%−2.6−0.4+0.9−2.1±2.3
BH crosscourt36%+1.5−0.4−1.2−0.1±3.4
FH inside-in9%+0.7+2.2−2.2+0.8±4.5
FH through the middle8%−2.7+1.2−1.3−2.8±2.3
BH down the line6%−0.5−2.2−1.9−4.7±4.4

Lean FH inside-in: +2.1±4.4 per 100 returns v the current mix (244 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.

Linda Noskova

Favour

ShotEdgeOwnTheirs
BH to their forehand · serve +1+7.9±5.2+5.1+2.8
FH to their forehand · serve +1+6.0±5.0+4.5+1.5
FH to their forehand · return +1+5.2±4.5+5.2±0.0
BH to the middle · return+2.8±3.3±0.0+2.8
BH to their backhand · return+2.8±4.6+0.8+2.0
BH to the middle · return +1+2.4±2.9+1.5+0.9

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−7.3±4.7−6.5−0.8
BH slice to their backhand · rally−7.1±3.6−2.0−5.1
FH to their backhand · return−3.2±4.8−4.7+1.6
BH to the middle · serve +1−3.1±2.9−4.1+1.1
BH to their forehand · rally−3.0±4.5−4.2+1.2

Jil Teichmann

Favour

ShotEdgeOwnTheirs
BH to their forehand · return +1+8.0±5.4+1.4+6.7
BH to their forehand · return+4.4±4.7+3.1+1.3
FH to their forehand · return +1+4.0±4.6+3.0+1.0
BH to their forehand · serve +1+3.6±5.3+1.3+2.3
FH to their forehand · serve +1+3.4±4.3+3.1+0.3
FH to their backhand · return +1+2.8±4.7+2.0+0.8

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return−5.4±4.1−3.4−2.0
FH to the middle · rally−4.5±3.1−1.2−3.4
BH to their backhand · serve +1−4.2±4.2−1.5−2.7
BH slice to their backhand · rally−4.2±2.9−4.0−0.2
FH to their forehand · rally−3.8±3.8−4.9+1.1

Against Jil Teichmann-like opponents

Linda Noskova vMatchesServe pts wonReturn pts won
All charted opponents–59.6%40.2%
Players most similar to Jil Teichmann3 59.5%38.6%

Similar by tactical fingerprint: Elina Svitolina, Suzan Lamens, Marta Kostyuk, Jasmine Paolini, Sara Bejlek, Kaja Juvan, Victoria Jimenez Kasintseva, Beatriz Haddad Maia, Anna Lena Friedsam, Johanna Larsson. When two players have rarely met, their records against these lookalikes fill the gap.