RallyIQ

Game plan

Garbine Muguruza v Clara Tauson

Every number combines what Garbine Muguruza does well with what Clara Tauson 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 21%90%: 11%–33% · best of 5: 15%
Serve points won 54.9% / 61.2% Garbine / Clara · tour 56.4%
Strengths only, no similarity priors 35%serve 56.9% / 59.8%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Garbine Muguruza's record against Clara Tauson's tactical lookalikes and in their charted head-to-heads (lookalikes: −5.8 on serve, −3.9 on return vs expectation (1550 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

CareerGarbineClara
Direction choice−0.04 ±0.05
better than 47%
+0.21 ±0.06
better than 88%
Shot selection+0.58 ±0.06
better than 96%
−0.45 ±0.14
better than 12%
Execution−0.03 ±0.27
better than 60%
+0.95 ±0.46
better than 90%
Points left on the table2.49 ±0.08
lower than 66%
2.46 ±0.09
lower than 68%

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 ClaraMatchupOptimal
Wide35%68%68%70.0%±4.435%
Body18%56%55%53.4%±6.83% ▼
T47%74%67%72.9%±4.162% ▲

Optimal v Clara Tauson: +1.7±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +4.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowGarbine winsv ClaraMatchupOptimal
Wide39%70%66%70.6%±4.455% ▲
Body22%57%56%56.6%±6.96% ▼
T39%65%67%67.3%±4.839%

Optimal v Clara Tauson: +0.7±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.3 per 100 first serves in before the returner adjusts.

Clara Tauson serving

Deuce court

1st serveNowClara winsv GarbineMatchupOptimal
Wide42%72%67%73.2%±4.058% ▲
Body13%56%57%55.5%±7.40% ▼
T44%73%65%70.7%±4.542% ▼

Optimal v Garbine Muguruza: +1.4±0.8 per 100 first serves (faults included) over the current mix. Serving wide every time would read +3.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowClara winsv GarbineMatchupOptimal
Wide40%73%65%72.5%±4.855% ▲
Body10%57%56%56.6%±8.30% ▼
T50%66%64%65.2%±4.545% ▼

Optimal v Garbine Muguruza: +0.9±0.7 per 100 first serves (faults included) over the current mix. Serving wide every time would read +5.3 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.

Garbine Muguruza returning

1st serve to the forehand

ReturnNowTourOwnv ClaraValue
FH through the middle59%+4.2+1.4−0.9+4.6±1.9
FH crosscourt23%+5.3−1.4−3.1+0.9±3.5
FH down the line13%+1.5+2.3−1.7+2.1±4.0
FH slice through the middle3%−6.7−2.8−0.4−10.0±2.4
FH slice crosscourt1%−6.6−0.4−0.4−7.4±2.7

Lean FH through the middle: +1.8±1.2 per 100 returns v the current mix (1441 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ClaraValue
BH through the middle57%+6.0+1.7−0.7+7.0±1.8
BH crosscourt28%+7.7+1.7±0.0+9.4±2.8
BH down the line12%+2.2+5.5−3.7+3.9±4.3
BH slice through the middle2%−6.2+0.3−0.8−6.7±2.5
BH slice crosscourt1%−4.2−0.3−0.7−5.2±2.8

Lean BH crosscourt: +2.6±2.3 per 100 returns v the current mix (1254 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ClaraValue
FH through the middle49%−3.2+1.8+1.1−0.3±2.6
FH crosscourt31%+0.5+1.1−0.6+1.1±4.1
FH down the line15%−0.6+0.9−3.6−3.3±5.1
FH slice through the middle2%−15.2−0.2+0.5−14.9±1.9
BH inside-out1%+2.2+1.1+3.9+7.2±3.6

Lean FH crosscourt: +1.6±3.2 per 100 returns v the current mix (411 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv ClaraValue
BH through the middle47%−2.6+1.2+1.1−0.3±2.0
BH crosscourt40%+1.5+2.5+2.4+6.4±2.7
BH down the line14%−0.5+3.2+3.9+6.6±5.0

Lean BH down the line: +3.3±4.5 per 100 returns v the current mix (675 returns charted, inside the 90% margin)

Clara Tauson returning

1st serve to the forehand

ReturnNowTourOwnv GarbineValue
FH through the middle44%+4.2−1.6+1.4+4.0±1.9
FH crosscourt24%+5.3−0.2−0.1+5.1±3.5
FH slice through the middle15%−6.7−1.1−0.4−8.1±2.3
FH down the line9%+1.5−1.7+0.2±0.0±4.1
FH slice crosscourt6%−6.6+0.5−0.4−6.5±2.8

Lean FH crosscourt: +4.1±2.8 per 100 returns v the current mix (658 returns charted)

1st serve to the backhand

ReturnNowTourOwnv GarbineValue
BH through the middle41%+6.0+1.9+0.3+8.2±1.8
BH crosscourt24%+7.7+1.0+1.2+10.0±2.8
BH slice through the middle16%−6.2+0.8−0.7−6.1±2.2
BH down the line9%+2.2+3.0+2.5+7.7±4.1
BH slice crosscourt8%−4.2−0.7−0.2−5.0±3.0

Lean BH crosscourt: +5.3±2.3 per 100 returns v the current mix (723 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv GarbineValue
FH through the middle42%−3.2−0.1+1.1−2.1±2.6
FH crosscourt37%+0.5+2.5+0.2+3.3±4.0
FH down the line16%−0.6+0.5+2.3+2.3±4.6
FH slice through the middle5%−15.2−0.4±0.0−15.6±1.2

Lean FH crosscourt: +3.3±2.8 per 100 returns v the current mix (154 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv GarbineValue
BH crosscourt39%+1.5−1.4+2.4+2.5±2.8
BH through the middle38%−2.6−0.1+0.1−2.6±2.1
BH down the line16%−0.5+1.9+3.5+4.9±4.7
BH slice through the middle5%−11.7−0.2−0.7−12.6±2.1
BH slice crosscourt3%−7.5−2.5+0.1−9.9±2.1

Lean BH down the line: +5.0±4.2 per 100 returns v the current mix (386 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+5.7±4.2+5.3+0.5
BH to their forehand · return +1+4.5±5.1+3.7+0.8
FH slice to the middle · rally+3.6±3.6−0.4+3.9
BH to their backhand · serve +1+3.1±3.0+0.8+2.3
BH to their backhand · return+2.9±2.5+2.1+0.8
FH to their backhand · return +1+2.3±4.2−0.7+3.1

Avoid

ShotEdgeOwnTheirs
FH to the middle · rally−3.8±1.8−0.9−2.9
FH slice to the middle · return−3.5±3.4−3.1−0.3
BH to the middle · rally−3.3±1.7−0.6−2.7
FH to the middle · serve +1−3.1±2.2−2.2−1.0
FH to their backhand · rally−2.6±2.6−1.1−1.6

Clara Tauson

Favour

ShotEdgeOwnTheirs
BH to their forehand · return+8.4±3.9+5.2+3.3
FH to their forehand · return+5.2±3.7+5.1+0.1
BH to their forehand · return +1+4.8±5.5+4.4+0.4
BH to their backhand · return+4.1±2.7+1.9+2.2
FH to their backhand · return +1+4.0±4.2+3.1+0.9
BH to their backhand · serve +1+3.1±3.1+1.3+1.9

Avoid

ShotEdgeOwnTheirs
BH slice to the middle · return +1−3.3±3.4−1.5−1.8
BH slice to their forehand · rally−2.7±5.0−0.2−2.5
BH to their forehand · serve +1−2.5±5.1−4.1+1.6
FH to the middle · rally−2.1±1.9−2.3+0.2
FH slice to the middle · return−1.6±3.1−1.0−0.6

Against Clara Tauson-like opponents

Garbine Muguruza vMatchesServe pts wonReturn pts won
All charted opponents–58.9%44.2%
Players most similar to Clara Tauson10 55.1%39.4%

Similar by tactical fingerprint: Karolina Pliskova, Rebecca Sramkova, Linda Noskova, Barbora Krejcikova, Viktoria Hruncakova, Anastasia Pavlyuchenkova, Sofia Kenin, Veronika Kudermetova, Anett Kontaveit, Sabine Lisicki. When two players have rarely met, their records against these lookalikes fill the gap.