RallyIQ

Game plan

Peyton Stearns v Linda Fruhvirtova

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

Forecast

Peyton Stearns wins, best of 3 44%90%: 20%–70% · best of 5: 42%
Serve points won 56.1% / 57.3% Peyton / Linda · tour 56.4%
Strengths only, no similarity priors 44%serve 56.1% / 57.3%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Peyton Stearns's record against Linda Fruhvirtova's tactical lookalikes and in their charted head-to-heads. 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

CareerPeytonLinda
Direction choice+0.01 ±0.13
better than 55%
+0.10 ±0.09
better than 72%
Shot selection+0.40 ±0.24
better than 90%
−0.11 ±0.11
better than 35%
Execution−1.43 ±0.74
better than 12%
+1.26 ±0.49
better than 95%
Points left on the table2.46 ±0.11
lower than 68%
2.35 ±0.12
lower than 81%

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: Peyton Stearns +0.15, Linda Fruhvirtova +1.37. 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.

Peyton Stearns serving

Deuce court

1st serveNowPeyton winsv LindaMatchupOptimal
Wide38%58%68%59.5%±8.138%
Body33%59%52%53.9%±8.718% ▼
T29%62%72%66.9%±8.844% ▲

Optimal v Linda Fruhvirtova: +0.3±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +7.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowPeyton winsv LindaMatchupOptimal
Wide41%61%63%58.2%±8.057% ▲
Body23%54%58%56.7%±10.215% ▼
T36%54%65%54.3%±9.028% ▼

Optimal v Linda Fruhvirtova: +0.3±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.8 per 100 first serves in before the returner adjusts.

Linda Fruhvirtova serving

Deuce court

1st serveNowLinda winsv PeytonMatchupOptimal
Wide39%67%69%70.2%±7.454% ▲
Body14%63%62%67.1%±9.514%
T47%71%72%75.5%±6.832% ▼

Optimal v Peyton Stearns: +0.4±1.0 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 serveNowLinda winsv PeytonMatchupOptimal
Wide39%68%63%65.2%±8.245% ▲
Body16%52%57%53.0%±10.91% ▼
T45%64%61%60.3%±8.854% ▲

Optimal v Peyton Stearns: +0.4±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.2 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.

Peyton Stearns returning

1st serve to the forehand

ReturnNowTourOwnv LindaValue
FH through the middle53%+4.2−0.5−1.1+2.6±2.9
FH crosscourt28%+5.3−3.1+2.3+4.5±4.3
FH down the line20%+1.5−2.9±0.0−1.3±4.7

Lean FH crosscourt: +2.2±3.6 per 100 returns v the current mix (174 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv LindaValue
BH through the middle37%+6.0−0.9+0.7+5.8±2.6
BH crosscourt32%+7.7−1.0−2.9+3.7±3.6
BH down the line13%+2.2−1.5+3.4+4.0±4.6
BH slice through the middle8%−6.2−1.5−0.1−7.9±2.3
BH slice crosscourt7%−4.2−1.4−0.7−6.3±2.5

Lean BH through the middle: +3.2±2.1 per 100 returns v the current mix (238 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv LindaValue
FH down the line41%−0.6+3.1−3.8−1.2±5.0
FH through the middle39%−3.2+0.2−0.1−3.1±2.9
FH crosscourt20%+0.5−2.1+6.4+4.8±3.9

Lean FH down the line: −0.4±3.2 per 100 returns v the current mix (51 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv LindaValue
BH crosscourt28%+1.5+0.3−0.8+1.0±3.6
BH through the middle24%−2.6+1.0+1.5−0.1±2.7
FH inside-in16%+0.7−2.1+6.4+5.1±4.5
FH through the middle15%−2.7−0.3−0.1−3.1±2.5
FH inside-out10%+1.4−2.3−3.8−4.8±3.9

Lean FH inside-in: +4.7±4.0 per 100 returns v the current mix (144 returns charted)

Linda Fruhvirtova returning

1st serve to the forehand

ReturnNowTourOwnv PeytonValue
FH through the middle54%+4.2+3.1+0.3+7.6±2.7
FH crosscourt23%+5.3+2.7+3.2+11.2±4.2
FH down the line19%+1.5+1.3+3.3+6.2±4.7
FH slice through the middle2%−6.7+0.5−2.5−8.7±2.1
FH slice crosscourt2%−6.6+0.6±0.0−6.0±2.0

Lean FH crosscourt: +3.7±3.7 per 100 returns v the current mix (331 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv PeytonValue
BH crosscourt43%+7.7+1.5−0.5+8.7±3.3
BH through the middle42%+6.0+1.6−1.4+6.2±2.6
BH down the line8%+2.2−2.2−2.7−2.7±4.5
BH slice through the middle4%−6.2+0.2+2.0−4.1±2.2
BH slice crosscourt2%−4.2+0.1−0.2−4.2±2.1

Lean BH crosscourt: +2.8±2.2 per 100 returns v the current mix (272 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv PeytonValue
FH through the middle44%−3.2+2.1−0.3−1.3±3.1
FH crosscourt35%+0.5±0.0+1.9+2.5±4.4
FH down the line21%−0.6+2.1+1.5+3.0±5.0

Lean FH down the line: +2.1±4.4 per 100 returns v the current mix (95 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv PeytonValue
BH through the middle44%−2.6+0.9+0.5−1.2±2.8
BH crosscourt41%+1.5−0.3+0.5+1.7±3.6
BH down the line15%−0.5−0.2−1.4−2.2±5.0

Lean BH crosscourt: +1.9±2.6 per 100 returns v the current mix (119 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.

Peyton Stearns

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+4.3±4.9+1.5+2.8
BH to their forehand · return+4.0±6.5−0.1+4.1
FH to their forehand · return+4.0±5.4−2.6+6.6
FH to their forehand · rally+3.8±3.2+0.4+3.4
BH to their backhand · serve +1+3.1±5.0+0.2+2.9
BH to the middle · serve +1+3.0±3.6+0.9+2.0

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−6.5±5.9−6.7+0.3
FH to their backhand · return−6.2±6.0−4.0−2.2
BH to their backhand · return−4.8±4.5−1.7−3.1
BH to their backhand · return +1−3.5±4.9−3.4−0.1
BH to their backhand · rally−2.8±3.7−4.5+1.7

Linda Fruhvirtova

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+8.3±5.5+3.0+5.2
FH to their backhand · return+6.6±6.2+2.9+3.7
FH to their forehand · rally+6.2±3.6+4.9+1.3
FH to the middle · return+5.4±3.2+4.5+0.9
FH to their backhand · return +1+4.8±6.2+5.2−0.4
BH to their backhand · rally+4.8±3.4+2.7+2.1

Avoid

ShotEdgeOwnTheirs
BH to their forehand · return−3.6±6.5+0.4−4.0
BH to the middle · serve +1−2.9±3.6±0.0−2.9
BH to the middle · return +1−1.8±3.5+1.4−3.1
BH to their backhand · return +1−1.4±4.6−2.2+0.8
FH to their backhand · rally−0.8±4.3+1.2−1.9

Against Linda Fruhvirtova-like opponents

Peyton Stearns vMatchesServe pts wonReturn pts won
All charted opponents–54.2%43.2%

Similar by tactical fingerprint: Magdalena Frech, Jaqueline Cristian, Victoria Azarenka, Caroline Wozniacki, Qiang Wang, Simona Halep, Tsvetana Pironkova, Vera Zvonareva, Agnieszka Radwanska, Dinara Safina. When two players have rarely met, their records against these lookalikes fill the gap.