RallyIQ

Game plan

Monica Puig v Jaqueline Cristian

Every number combines what Monica Puig does well with what Jaqueline Cristian allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Monica Puig wins, best of 3 24%90%: 3%–68% · best of 5: 19%
Serve points won 55.6% / 61.0% Monica / Jaqueline · tour 55.0%
Strengths only, no similarity priors 24%serve 55.6% / 61.0%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerMonicaJaqueline
Direction choice−0.25 ±0.10
better than 10%
−0.15 ±0.12
better than 25%
Shot selection+0.21 ±0.30
better than 69%
−0.05 ±0.12
better than 41%
Execution−1.94 ±0.79
better than 4%
−0.25 ±0.59
better than 46%

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.

Monica Puig serving

Deuce court

1st serveNowMonica winsv JaquelineMatchupOptimal
Wide27%60%72%66.5%±9.842% ▲
Body19%58%58%59.2%±11.94% ▼
T54%60%70%62.4%±9.554%

Optimal v Jaqueline Cristian: +1.1±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMonica winsv JaquelineMatchupOptimal
Wide40%65%74%73.6%±8.555% ▲
Body16%55%55%54.0%±13.01% ▼
T44%59%68%62.0%±9.544%

Optimal v Jaqueline Cristian: +1.1±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +8.3 per 100 first serves in before the returner adjusts.

Jaqueline Cristian serving

Deuce court

1st serveNowJaqueline winsv MonicaMatchupOptimal
Wide33%58%69%61.4%±10.033%
Body25%57%59%59.3%±11.610% ▼
T42%69%80%80.8%±7.857% ▲

Optimal v Monica Puig: +0.8±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +11.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJaqueline winsv MonicaMatchupOptimal
Wide37%63%74%71.2%±9.538%
Body21%54%57%55.3%±13.15% ▼
T42%65%70%70.2%±9.857% ▲

Optimal v Monica Puig: +1.0±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.7 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.

Monica Puig returning

1st serve to the forehand

ReturnNowTourOwnv JaquelineValue
FH through the middle62%+4.2−1.3+0.3+3.2±2.9
FH crosscourt23%+5.3−1.2+0.3+4.4±4.2
FH down the line15%+1.5−2.2−2.7−3.3±4.3

Lean FH crosscourt: +1.9±3.7 per 100 returns v the current mix (87 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv JaquelineValue
BH through the middle55%+6.0−1.2−0.1+4.8±2.7
BH crosscourt29%+7.7−2.9+3.3+8.1±3.5
BH down the line17%+2.2−2.7−1.7−2.2±4.2

Lean BH crosscourt: +3.5±2.9 per 100 returns v the current mix (66 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv JaquelineValue
BH through the middle44%−2.6+0.9−1.5−3.2±2.6
BH crosscourt41%+1.5+1.4+1.3+4.3±3.5
BH down the line15%−0.5+1.7−1.5−0.3±4.5

Lean BH crosscourt: +4.0±2.5 per 100 returns v the current mix (54 returns charted)

Jaqueline Cristian returning

1st serve to the forehand

ReturnNowTourOwnv MonicaValue
FH through the middle53%+4.2+1.3−1.6+3.9±2.9
FH crosscourt22%+5.3+2.9+1.6+9.9±4.3
FH slice through the middle10%−6.7−1.3−0.2−8.2±2.2
FH down the line9%+1.5−1.4+0.8+1.0±4.5
FH slice crosscourt4%−6.6+0.6±0.0−6.1±1.5

Lean FH crosscourt: +6.7±3.7 per 100 returns v the current mix (313 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MonicaValue
BH through the middle42%+6.0+0.4−1.0+5.4±2.8
BH crosscourt23%+7.7−0.2−0.4+7.1±3.7
BH down the line14%+2.2−2.8−2.2−2.8±4.5
BH slice through the middle11%−6.2−0.6+0.8−6.0±2.3
BH slice crosscourt5%−4.2+0.1−0.2−4.3±2.2

Lean BH crosscourt: +5.1±3.1 per 100 returns v the current mix (285 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MonicaValue
FH through the middle53%−3.2−0.1+0.7−2.6±3.0
FH crosscourt38%+0.5+1.3+1.2+3.1±4.2
FH down the line9%−0.6+1.9+1.3+2.6±3.8

Lean FH crosscourt: +3.1±3.1 per 100 returns v the current mix (58 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MonicaValue
BH through the middle44%−2.6+1.4+2.8+1.6±2.8
BH crosscourt25%+1.5+0.2+0.6+2.3±3.7
FH inside-out11%+1.4+0.7+1.3+3.3±3.7
BH down the line8%−0.5−1.9−1.0−3.4±4.5
FH through the middle7%−2.7+1.0+0.7−1.0±2.3

Lean FH inside-out: +2.0±3.7 per 100 returns v the current mix (167 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 clay. Each player's clay record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Monica Puig

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+1.7±4.3−0.5+2.2
FH to their forehand · rally+1.0±4.2−2.5+3.6
BH to the middle · rally+0.7±2.7±0.0+0.6
FH to the middle · return+0.1±3.8−1.9+2.1
FH to the middle · rally±0.0±2.9−0.2+0.3
BH to the middle · return−0.3±3.1−1.0+0.6

Avoid

ShotEdgeOwnTheirs
BH to the middle · serve +1−2.4±3.0−2.8+0.4
FH to their backhand · serve +1−1.2±4.8−0.3−0.9
BH to their forehand · rally−0.6±5.3−0.5−0.1
BH to their backhand · rally−0.4±3.7−1.9+1.5
BH to the middle · return−0.3±3.1−1.0+0.6

Jaqueline Cristian

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+3.9±4.3+2.4+1.4
BH to their backhand · rally+2.5±4.3−0.7+3.2
FH to their forehand · rally+2.1±4.3+2.0+0.1
FH to the middle · return+0.3±3.3+1.2−0.9
BH to the middle · rally+0.1±2.7+0.7−0.6
BH to the middle · return−0.2±3.4−1.0+0.8

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return−4.5±4.8−1.1−3.3
FH to the middle · rally−1.7±3.0−2.0+0.3
BH to the middle · return−0.2±3.4−1.0+0.8
BH to the middle · rally+0.1±2.7+0.7−0.6
FH to the middle · return+0.3±3.3+1.2−0.9

Against Jaqueline Cristian-like opponents

Monica Puig vMatchesServe pts wonReturn pts won
All charted opponents–52.0%36.3%

Similar by tactical fingerprint: Alexandra Eala, Elina Svitolina, Jessica Pegula, Jasmine Paolini, Nao Hibino, Linda Fruhvirtova, Irina Camelia Begu, Qiang Wang, Lauren Davis, Dominika Cibulkova. When two players have rarely met, their records against these lookalikes fill the gap.