RallyIQ

Game plan

Paula Badosa v Lauren Davis

Every number combines what Paula Badosa does well with what Lauren Davis allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Paula Badosa wins, best of 3 92%90%: 74%–99% · best of 5: 96%
Serve points won 60.8% / 49.9% Paula / Lauren · tour 56.3%
Strengths only, no similarity priors 92%serve 60.5% / 50.1%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Paula Badosa's record against Lauren Davis's tactical lookalikes and in their charted head-to-heads (lookalikes: +1.6 on serve, +1.1 on return vs expectation (598 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

CareerPaulaLauren
Direction choice−0.24 ±0.05
better than 13%
−0.46 ±0.13
better than 0%
Shot selection+0.29 ±0.09
better than 77%
−0.22 ±0.24
better than 27%
Execution+0.75 ±0.35
better than 86%
−1.15 ±0.69
better than 16%
Points left on the table2.83 ±0.08
lower than 22%
3.09 ±0.14
lower than 8%

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.

Paula Badosa serving

Deuce court

1st serveNowPaula winsv LaurenMatchupOptimal
Wide47%67%72%72.6%±5.948%
Body19%62%56%60.3%±9.24% ▼
T33%73%73%77.9%±6.748% ▲

Optimal v Lauren Davis: +1.0±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowPaula winsv LaurenMatchupOptimal
Wide26%67%64%65.9%±7.728% ▲
Body16%53%62%58.8%±10.31% ▼
T58%72%66%73.0%±6.271% ▲

Optimal v Lauren Davis: +1.1±1.0 per 100 first serves (faults included) over the current mix. Serving T every time would read +4.1 per 100 first serves in before the returner adjusts.

Lauren Davis serving

Deuce court

1st serveNowLauren winsv PaulaMatchupOptimal
Wide35%59%67%60.3%±7.650% ▲
Body33%56%54%52.4%±8.133%
T32%64%65%60.3%±8.717% ▼

Optimal v Paula Badosa: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowLauren winsv PaulaMatchupOptimal
Wide30%59%62%54.6%±8.533% ▲
Body29%55%55%53.6%±9.223% ▼
T41%60%62%56.5%±7.944% ▲

Optimal v Paula Badosa: ±0.0±0.4 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.4 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.

Paula Badosa returning

1st serve to the forehand

ReturnNowTourOwnv LaurenValue
FH through the middle45%+4.2+0.5+0.8+5.4±2.5
FH down the line21%+1.5+1.4+2.0+4.9±4.4
FH crosscourt15%+5.3+0.1+2.1+7.4±4.1
FH slice through the middle12%−6.7−0.7+0.1−7.3±2.2
FH slice crosscourt4%−6.6+1.1±0.0−5.6±1.9

Lean FH crosscourt: +4.1±3.8 per 100 returns v the current mix (726 returns charted)

1st serve to the backhand

ReturnNowTourOwnv LaurenValue
BH through the middle49%+6.0+1.3+0.4+7.8±2.3
BH crosscourt24%+7.7+1.9+2.6+12.2±3.4
BH down the line16%+2.2+4.0+0.2+6.3±4.5
BH slice through the middle7%−6.2−0.4−0.3−7.0±2.4
BH slice crosscourt2%−4.2+0.5±0.0−3.6±1.9

Lean BH crosscourt: +5.3±2.9 per 100 returns v the current mix (767 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv LaurenValue
FH through the middle54%−3.2+1.0+1.5−0.6±3.0
FH crosscourt30%+0.5−0.8+1.9+1.6±4.5
FH down the line13%−0.6−2.2+1.0−1.7±5.1
FH slice through the middle3%−15.2+0.6±0.0−14.6±1.2

Lean FH crosscourt: +2.1±3.6 per 100 returns v the current mix (217 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv LaurenValue
BH through the middle45%−2.6+2.0+0.8+0.2±2.5
BH crosscourt38%+1.5+3.3+1.5+6.3±3.4
BH down the line8%−0.5+0.7−1.4−1.3±5.2
FH through the middle4%−2.7−1.1+1.5−2.2±2.5
FH inside-out3%+1.4+0.8+1.0+3.2±4.0

Lean BH crosscourt: +3.8±2.4 per 100 returns v the current mix (450 returns charted)

Lauren Davis returning

1st serve to the forehand

ReturnNowTourOwnv PaulaValue
FH through the middle42%+4.2+0.8+1.2+6.1±2.5
FH down the line21%+1.5−1.1−0.5±0.0±4.3
FH slice through the middle17%−6.7−0.1+0.5−6.3±2.4
FH crosscourt17%+5.3−2.2−1.4+1.7±4.0
FH slice down the line3%−10.5+0.7+0.2−9.6±2.8

Lean FH through the middle: +4.6±1.9 per 100 returns v the current mix (236 returns charted)

1st serve to the backhand

ReturnNowTourOwnv PaulaValue
BH through the middle54%+6.0+1.4−0.9+6.6±2.4
BH crosscourt20%+7.7+2.1−0.1+9.7±3.3
BH down the line14%+2.2+1.8−2.7+1.2±4.3
BH slice through the middle9%−6.2−0.9−0.9−8.0±2.4
BH slice down the line3%−12.5−0.6−2.4−15.5±2.8

Lean BH crosscourt: +5.1±3.0 per 100 returns v the current mix (162 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv PaulaValue
FH through the middle52%−3.2−0.4+1.4−2.2±2.7
FH crosscourt33%+0.5−1.2+0.7±0.0±3.9
FH down the line15%−0.6+0.2+0.9+0.6±4.4

Lean FH crosscourt: +1.0±3.1 per 100 returns v the current mix (52 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv PaulaValue
BH through the middle47%−2.6−1.3+2.0−1.9±2.4
BH crosscourt34%+1.5−2.9−0.3−1.7±3.3
BH down the line19%−0.5−2.4−1.7−4.7±4.7

Lean BH crosscourt: +0.6±2.6 per 100 returns v the current mix (100 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.

Paula Badosa

Favour

ShotEdgeOwnTheirs
BH to their backhand · return+6.6±2.9+3.8+2.8
FH to their forehand · return +1+4.9±3.5+3.1+1.7
BH to the middle · return +1+4.1±2.1+2.4+1.7
FH to their backhand · serve +1+4.1±3.5+2.4+1.6
FH to their forehand · serve +1+4.0±3.2+2.6+1.3
BH to their forehand · return+2.3±4.1+3.0−0.7

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−1.8±2.4+0.4−2.2
BH to the middle · serve +1−1.4±2.2+1.5−2.9
FH to their backhand · rally−0.5±2.8+0.8−1.3
BH to their backhand · rally−0.4±2.3+1.7−2.1
BH to their forehand · rally−0.1±3.6+0.7−0.8

Lauren Davis

Favour

ShotEdgeOwnTheirs
BH to their forehand · rally+5.7±3.7+3.9+1.8
FH to the middle · return+2.7±2.2+1.2+1.5
BH to the middle · rally+1.3±1.6+0.6+0.6
FH to their backhand · serve +1+0.9±3.2−0.8+1.7
FH to their backhand · rally+0.7±2.7+0.1+0.6
FH to the middle · rally±0.0±1.8+0.9−0.9

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return +1−7.2±3.2−6.3−0.9
FH to their forehand · serve +1−5.8±3.4−6.4+0.7
FH to their backhand · return +1−3.1±3.8−4.6+1.5
FH to their backhand · return−2.9±3.9−3.1+0.2
BH to their forehand · return−2.9±4.1−0.1−2.8

Against Lauren Davis-like opponents

Paula Badosa vMatchesServe pts wonReturn pts won
All charted opponents–58.7%44.2%
Players most similar to Lauren Davis5 59.2%44.9%

Similar by tactical fingerprint: Coco Gauff, Iva Jovic, Jessica Pegula, Kimberly Birrell, Jaqueline Cristian, Ajla Tomljanovic, Nao Hibino, Shelby Rogers, Irina Camelia Begu, Dominika Cibulkova. When two players have rarely met, their records against these lookalikes fill the gap.