RallyIQ

Game plan

Brenda Fruhvirtova v Magda Linette

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

Forecast

Brenda Fruhvirtova wins, best of 3 22%90%: 6%–50% · best of 5: 16%
Serve points won 55.9% / 61.9% Brenda / Magda · tour 56.4%
Strengths only, no similarity priors 22%serve 55.9% / 61.9%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Brenda Fruhvirtova's record against Magda Linette'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

CareerBrendaMagda
Direction choice−0.13 ±0.13
better than 30%
+0.27 ±0.05
better than 93%
Shot selection−0.34 ±0.23
better than 19%
+0.36 ±0.07
better than 84%
Execution+0.86 ±1.03
better than 88%
−0.20 ±0.32
better than 48%
Points left on the table2.52 ±0.20
lower than 64%
2.20 ±0.07
lower than 94%

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.

Brenda Fruhvirtova serving

Deuce court

1st serveNowBrenda winsv MagdaMatchupOptimal
Wide40%61%67%62.2%±7.655% ▲
Body21%55%64%61.4%±9.414% ▼
T39%67%72%71.5%±8.031% ▼

Optimal v Magda Linette: +0.2±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowBrenda winsv MagdaMatchupOptimal
Wide63%60%68%62.3%±7.756% ▼
Body18%57%64%64.6%±10.510% ▼
T18%59%67%61.8%±10.634% ▲

Optimal v Magda Linette: +0.1±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +2.0 per 100 first serves in before the returner adjusts.

Magda Linette serving

Deuce court

1st serveNowMagda winsv BrendaMatchupOptimal
Wide43%67%64%65.5%±7.558% ▲
Body19%56%58%56.9%±10.34% ▼
T38%68%73%73.1%±9.338%

Optimal v Brenda Fruhvirtova: +0.9±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMagda winsv BrendaMatchupOptimal
Wide59%66%69%70.0%±8.571% ▲
Body9%53%58%54.7%±12.00% ▼
T32%63%67%65.4%±8.329% ▼

Optimal v Brenda Fruhvirtova: +0.3±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.8 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.

Brenda Fruhvirtova returning

1st serve to the forehand

ReturnNowTourOwnv MagdaValue
FH through the middle43%+4.2+2.8+0.5+7.5±2.6
FH down the line17%+1.5+0.2+1.3+3.0±4.3
FH slice through the middle16%−6.7±0.0+1.1−5.6±2.4
FH crosscourt14%+5.3±0.0−1.0+4.3±3.6
FH slice down the line6%−10.5+1.2−0.8−10.1±2.9

Lean FH through the middle: +5.0±1.8 per 100 returns v the current mix (164 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MagdaValue
BH through the middle46%+6.0+0.8+0.6+7.4±2.3
BH crosscourt34%+7.7+0.2+2.5+10.5±2.9
BH down the line20%+2.2−3.7−1.4−2.9±3.7

Lean BH crosscourt: +4.1±2.3 per 100 returns v the current mix (65 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MagdaValue
BH through the middle45%−2.6+0.9±0.0−1.7±2.1
BH crosscourt43%+1.5+0.7+1.7+3.9±2.8
BH down the line13%−0.5−0.1+1.0+0.4±3.5

Lean BH crosscourt: +3.0±1.9 per 100 returns v the current mix (40 returns charted)

Magda Linette returning

1st serve to the forehand

ReturnNowTourOwnv BrendaValue
FH through the middle44%+4.2−0.4+0.3+4.0±2.5
FH crosscourt35%+5.3−1.2+0.7+4.8±3.7
FH down the line15%+1.5−1.3+0.4+0.7±4.1
FH slice through the middle4%−6.7−2.7±0.0−9.4±1.8
FH slice crosscourt2%−6.6−3.3±0.0−9.9±1.8

Lean FH crosscourt: +2.0±2.7 per 100 returns v the current mix (1150 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv BrendaValue
BH through the middle47%+6.0+0.2+1.9+8.0±2.3
BH crosscourt32%+7.7+0.1+3.8+11.7±3.2
BH down the line11%+2.2−1.7+1.5+2.0±4.5
BH slice through the middle4%−6.2−1.8−0.5−8.5±2.2
BH slice crosscourt3%−4.2−2.5±0.0−6.7±2.1

Lean BH crosscourt: +4.8±2.4 per 100 returns v the current mix (980 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv BrendaValue
FH crosscourt48%+0.5+0.6+0.9+2.0±3.9
FH through the middle36%−3.2+2.2+1.5+0.5±3.0
FH down the line14%−0.6−1.2−1.8−3.6±4.7
FH slice crosscourt2%−14.9−1.4±0.0−16.3±1.2

Lean FH crosscourt: +1.7±2.4 per 100 returns v the current mix (284 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv BrendaValue
BH crosscourt47%+1.5−1.4+2.1+2.2±3.2
BH through the middle40%−2.6+0.4+0.6−1.6±2.5
BH down the line13%−0.5−3.3−1.4−5.2±4.7

Lean BH crosscourt: +2.5±2.1 per 100 returns v the current mix (510 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.

Brenda Fruhvirtova

Favour

ShotEdgeOwnTheirs
BH to their backhand · serve +1+5.1±4.4+1.9+3.2
BH to the middle · rally+4.9±2.6+3.0+1.9
FH to their forehand · serve +1+4.7±4.8+3.0+1.7
BH to their backhand · return+4.0±4.1+1.6+2.4
FH to the middle · return+3.7±3.2+3.7±0.0
FH to their forehand · rally+3.2±3.4+1.4+1.8

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−1.3±5.4−2.9+1.7
BH to their backhand · rally+0.6±3.2−1.0+1.5
BH to the middle · return+0.8±3.0+0.9−0.1
BH to their backhand · return +1+1.2±4.3+0.8+0.4
FH to their backhand · rally+1.5±4.4−0.6+2.1

Magda Linette

Favour

ShotEdgeOwnTheirs
BH to their backhand · return+6.3±4.2−0.8+7.1
BH to the middle · serve +1+4.0±3.1+2.9+1.2
BH to the middle · rally+3.5±2.6+0.9+2.7
FH to the middle · rally+2.7±2.8+0.5+2.1
BH to the middle · return+1.4±2.8+0.6+0.8
FH to the middle · return+1.2±3.2+0.5+0.7

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−7.7±5.3−3.2−4.5
FH to their forehand · serve +1−4.0±4.8−0.6−3.4
FH to their backhand · rally−0.7±4.2−0.8+0.1
BH to their backhand · rally+0.1±3.5−0.7+0.8
FH to their backhand · serve +1+0.3±5.1−0.2+0.5

Against Magda Linette-like opponents

Brenda Fruhvirtova vMatchesServe pts wonReturn pts won
All charted opponents–54.9%42.9%

Similar by tactical fingerprint: Anastasia Potapova, Karolina Pliskova, Anna Blinkova, Linda Klimovicova, Sorana Cirstea, Yue Yuan, Anhelina Kalinina, Anett Kontaveit, Elena Vesnina, Flavia Pennetta. When two players have rarely met, their records against these lookalikes fill the gap.