RallyIQ

Game plan

Garbine Muguruza v Veronika Kudermetova

Every number combines what Garbine Muguruza does well with what Veronika Kudermetova allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Garbine Muguruza wins, best of 3 55%90%: 39%–70% · best of 5: 56%
Serve points won 58.4% / 57.4% Garbine / Veronika · tour 56.4%
Strengths only, no similarity priors 64%serve 59.3% / 56.5%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Garbine Muguruza's record against Veronika Kudermetova's tactical lookalikes and in their charted head-to-heads (lookalikes: −2.8 on serve, −3.2 on return vs expectation (1244 points); head-to-head: −2.0 on serve, +0.2 on return vs expectation (165 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

CareerGarbineVeronika
Direction choice−0.04 ±0.05
better than 47%
+0.11 ±0.06
better than 73%
Shot selection+0.58 ±0.06
better than 96%
+0.10 ±0.11
better than 55%
Execution−0.03 ±0.27
better than 60%
−0.90 ±0.37
better than 21%
Points left on the table2.49 ±0.08
lower than 66%
2.41 ±0.11
lower than 75%

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.

Garbine Muguruza serving

Deuce court

1st serveNowGarbine winsv VeronikaMatchupOptimal
Wide35%68%68%69.2%±4.735%
Body18%56%62%60.3%±5.93% ▼
T47%74%70%76.0%±4.262% ▲

Optimal v Veronika Kudermetova: +1.1±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +5.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowGarbine winsv VeronikaMatchupOptimal
Wide39%70%67%71.4%±4.855% ▲
Body22%57%58%58.9%±6.46% ▼
T39%65%66%66.8%±4.739%

Optimal v Veronika Kudermetova: +0.7±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.4 per 100 first serves in before the returner adjusts.

Veronika Kudermetova serving

Deuce court

1st serveNowVeronika winsv GarbineMatchupOptimal
Wide39%63%67%64.4%±4.839%
Body16%53%57%53.3%±7.11% ▼
T45%75%65%72.7%±4.560% ▲

Optimal v Garbine Muguruza: +1.1±0.9 per 100 first serves (faults included) over the current mix. Serving T every time would read +6.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowVeronika winsv GarbineMatchupOptimal
Wide41%72%65%71.2%±4.956% ▲
Body17%53%56%53.2%±7.52% ▼
T42%60%64%59.6%±5.142%

Optimal v Garbine Muguruza: +1.2±0.9 per 100 first serves (faults included) over the current mix. Serving wide every time would read +8.0 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.

Garbine Muguruza returning

1st serve to the forehand

ReturnNowTourOwnv VeronikaValue
FH through the middle59%+4.2+1.4−0.1+5.5±1.9
FH crosscourt23%+5.3−1.4+1.0+4.9±3.6
FH down the line13%+1.5+2.3+2.0+5.8±4.1
FH slice through the middle3%−6.7−2.8−0.6−10.1±2.5
FH slice crosscourt1%−6.6−0.4+0.1−6.9±2.6

Lean FH down the line: +1.1±3.8 per 100 returns v the current mix (1441 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv VeronikaValue
BH through the middle57%+6.0+1.7−1.1+6.7±1.7
BH crosscourt28%+7.7+1.7−1.6+7.8±2.8
BH down the line12%+2.2+5.5−2.8+4.9±4.3
BH slice through the middle2%−6.2+0.3−2.7−8.6±2.5
BH slice crosscourt1%−4.2−0.3−4.4−8.9±2.8

Lean BH crosscourt: +1.6±2.3 per 100 returns v the current mix (1254 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv VeronikaValue
FH through the middle49%−3.2+1.8−0.4−1.8±2.6
FH crosscourt31%+0.5+1.1−1.4+0.3±4.1
FH down the line15%−0.6+0.9−0.6−0.3±5.2
FH slice through the middle2%−15.2−0.2−1.6−17.0±1.7
BH inside-out1%+2.2+1.1−1.5+1.8±3.4

Lean FH crosscourt: +1.4±3.2 per 100 returns v the current mix (411 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv VeronikaValue
BH through the middle47%−2.6+1.2−0.5−1.9±2.0
BH crosscourt40%+1.5+2.5+1.1+5.2±2.7
BH down the line14%−0.5+3.2−1.5+1.2±4.9

Lean BH crosscourt: +3.9±2.0 per 100 returns v the current mix (675 returns charted)

Veronika Kudermetova returning

1st serve to the forehand

ReturnNowTourOwnv GarbineValue
FH through the middle44%+4.2−3.1+1.4+2.4±2.0
FH crosscourt30%+5.3−3.1−0.1+2.1±3.4
FH down the line17%+1.5−2.9+0.2−1.2±4.0
FH slice through the middle5%−6.7−0.6−0.4−7.6±2.4
FH slice crosscourt3%−6.6−0.3−0.4−7.3±2.7

Lean FH through the middle: +1.7±1.6 per 100 returns v the current mix (630 returns charted)

1st serve to the backhand

ReturnNowTourOwnv GarbineValue
BH through the middle48%+6.0−1.4+0.3+5.0±1.8
BH crosscourt29%+7.7−2.2+1.2+6.7±2.8
BH down the line13%+2.2−1.7+2.5+3.0±4.1
BH slice through the middle4%−6.2−1.2−0.7−8.2±2.2
BH slice crosscourt4%−4.2−3.0−0.2−7.4±2.9

Lean BH crosscourt: +2.8±2.3 per 100 returns v the current mix (502 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv GarbineValue
FH crosscourt45%+0.5−3.4+0.2−2.7±4.0
FH through the middle45%−3.2−2.7+1.1−4.8±2.6
FH down the line7%−0.6+2.0+2.3+3.8±4.2
BH through the middle3%−1.0+0.6+0.1−0.3±1.4

Lean FH crosscourt: +0.4±2.5 per 100 returns v the current mix (166 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv GarbineValue
BH crosscourt47%+1.5+1.3+2.4+5.2±2.9
BH through the middle39%−2.6+0.1+0.1−2.4±2.1
BH down the line12%−0.5−2.1+3.5+0.9±4.7
FH inside-out2%+1.4+0.9+2.3+4.6±3.0

Lean BH crosscourt: +3.5±1.9 per 100 returns v the current mix (290 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.

Garbine Muguruza

Favour

ShotEdgeOwnTheirs
BH to their forehand · return +1+5.0±5.3+3.7+1.3
BH to their forehand · rally+4.4±3.8+0.1+4.3
FH to their backhand · return+3.6±4.5+1.5+2.1
FH to the middle · return+2.4±2.0+2.4±0.0
BH to their forehand · return+2.3±4.2+5.3−2.9
BH to their backhand · return+1.5±2.6+2.1−0.6

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−4.2±3.4−1.6−2.6
FH slice to the middle · return−4.0±3.6−3.1−0.8
FH to their backhand · rally−3.0±2.6−1.1−1.9
BH to their backhand · serve +1−2.4±3.2+0.8−3.2
FH to their forehand · rally−2.2±2.0−1.6−0.6

Veronika Kudermetova

Favour

ShotEdgeOwnTheirs
FH to the middle · serve +1+2.6±2.5+0.8+1.7
BH to their forehand · serve +1+2.0±4.5+0.4+1.6
BH to their backhand · return+1.8±2.6−0.3+2.2
BH to the middle · serve +1+1.5±2.1+1.5±0.0
BH to their backhand · rally+1.5±2.1−0.5+2.0
BH slice to the middle · rally+1.3±2.6−0.2+1.5

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−5.6±3.4−4.8−0.9
BH to their forehand · rally−4.1±3.5−5.4+1.3
FH to their forehand · return−4.0±3.5−4.1+0.1
FH to the middle · return−3.4±1.9−4.1+0.6
FH to their forehand · return +1−2.2±3.4−1.2−0.9

Against Veronika Kudermetova-like opponents

Garbine Muguruza vMatchesServe pts wonReturn pts won
All charted opponents–58.9%44.2%
Players most similar to Veronika Kudermetova9 56.6%39.2%
Veronika Kudermetova (charted head-to-head)1 58.7%45.2%

Similar by tactical fingerprint: Naomi Osaka, Karolina Pliskova, Ekaterina Alexandrova, Sorana Cirstea, Serena Williams, Shuai Zhang, Clara Tauson, Anett Kontaveit, Eugenie Bouchard. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head