RallyIQ

Game plan

Monica Puig v Arianne Hartono

Every number combines what Monica Puig does well with what Arianne Hartono 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 27%90%: 3%–73% · best of 5: 22%
Serve points won 54.9% / 59.6% Monica / Arianne · tour 58.1%
Strengths only, no similarity priors 29%serve 55.2% / 59.5%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Monica Puig's record against Arianne Hartono's tactical lookalikes and in their charted head-to-heads (lookalikes: −7.8 on serve, −3.7 on return vs expectation (104 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

CareerMonicaArianne
Direction choice−0.25 ±0.10
better than 10%
+0.04 ±0.11
better than 61%
Shot selection+0.21 ±0.30
better than 69%
+0.33 ±0.09
better than 82%
Execution−1.94 ±0.79
better than 4%
−2.16 ±0.52
better than 3%

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 ArianneMatchupOptimal
Wide27%60%73%67.2%±9.842% ▲
Body19%58%62%62.9%±11.26% ▼
T54%60%71%63.3%±9.852% ▼

Optimal v Arianne Hartono: +0.5±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMonica winsv ArianneMatchupOptimal
Wide40%65%60%59.2%±10.450% ▲
Body16%55%60%58.7%±12.421% ▲
T44%59%63%57.1%±10.029% ▼

Optimal v Arianne Hartono: +0.2±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.0 per 100 first serves in before the returner adjusts.

Arianne Hartono serving

Deuce court

1st serveNowArianne winsv MonicaMatchupOptimal
Wide29%60%69%62.5%±10.429%
Body27%57%59%58.7%±11.512% ▼
T44%60%80%74.0%±9.659% ▲

Optimal v Monica Puig: +0.5±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +7.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowArianne winsv MonicaMatchupOptimal
Wide35%62%74%70.7%±9.750% ▲
Body26%55%57%56.7%±12.610% ▼
T40%59%70%64.8%±10.840%

Optimal v Monica Puig: +1.1±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.9 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 ArianneValue
FH through the middle62%+4.2−1.3+2.5+5.4±3.0
FH crosscourt23%+5.3−1.2+2.1+6.2±4.2
FH down the line15%+1.5−2.2−0.1−0.7±4.3

Lean FH crosscourt: +1.5±3.7 per 100 returns v the current mix (87 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv ArianneValue
BH through the middle55%+6.0−1.2−0.6+4.2±2.6
BH crosscourt29%+7.7−2.9+3.0+7.8±3.4
BH down the line17%+2.2−2.7−1.5−2.1±4.2

Lean BH crosscourt: +3.6±2.9 per 100 returns v the current mix (66 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv ArianneValue
BH through the middle44%−2.6+0.9+0.4−1.4±2.5
BH crosscourt41%+1.5+1.4−2.0+0.9±3.5
BH down the line15%−0.5+1.7−3.0−1.9±4.5

Lean BH crosscourt: +1.4±2.5 per 100 returns v the current mix (54 returns charted, inside the 90% margin)

Arianne Hartono returning

1st serve to the forehand

ReturnNowTourOwnv MonicaValue
FH through the middle49%+4.2−3.8−1.6−1.2±3.0
FH crosscourt32%+5.3−2.4+1.6+4.6±4.2
FH down the line19%+1.5−2.3+0.8+0.1±4.6

Lean FH crosscourt: +3.7±3.4 per 100 returns v the current mix (281 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MonicaValue
BH through the middle42%+6.0+1.2−1.0+6.3±2.9
BH crosscourt26%+7.7+1.2−0.4+8.6±3.7
BH slice through the middle12%−6.2−0.9+0.8−6.3±2.3
BH down the line12%+2.2−0.1−2.2−0.1±4.4
BH slice crosscourt5%−4.2+0.4−0.2−4.0±2.1

Lean BH crosscourt: +5.1±3.0 per 100 returns v the current mix (234 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MonicaValue
FH through the middle49%−3.2−0.9+0.7−3.4±3.0
FH crosscourt36%+0.5−3.3+1.2−1.5±4.2
FH down the line16%−0.6−3.4+1.3−2.7±4.3

Lean FH crosscourt: +1.1±3.2 per 100 returns v the current mix (76 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv MonicaValue
BH crosscourt45%+1.5−2.4+0.6−0.3±3.7
BH through the middle42%−2.6−2.3+2.8−2.1±2.8
BH down the line13%−0.5−1.1−1.0−2.6±4.6

Lean BH crosscourt: +1.1±2.4 per 100 returns v the current mix (122 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 grass. Each player's grass 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 the middle · return+1.1±3.5−1.3+2.3
BH to their forehand · rally+0.2±5.6−0.5+0.6
FH to their forehand · rally−0.1±5.2−2.3+2.2
BH to the middle · rally−0.9±2.9±0.0−0.9
FH to the middle · rally−2.0±3.2−0.2−1.7
FH to their backhand · serve +1−2.4±5.2−0.3−2.1

Avoid

ShotEdgeOwnTheirs
BH to the middle · return−4.4±3.2−1.0−3.4
BH to their backhand · rally−4.3±4.0−1.9−2.4
BH to the middle · serve +1−3.4±3.3−2.8−0.6
FH to their backhand · rally−3.3±5.7−3.4+0.1
FH to their backhand · serve +1−2.4±5.2−0.3−2.1

Arianne Hartono

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+3.1±4.7+1.6+1.4
BH to the middle · return+0.7±3.8−0.7+1.3
BH to their backhand · rally−0.7±4.0−3.7+3.0
BH to the middle · rally−1.3±2.9−0.8−0.6
FH to the middle · rally−1.4±3.2−1.7+0.3
FH to their forehand · rally−5.1±4.3−5.3+0.1

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return−5.8±4.3−5.9+0.1
FH to the middle · return−5.5±3.5−4.6−0.9
FH to their forehand · rally−5.1±4.3−5.3+0.1
FH to the middle · rally−1.4±3.2−1.7+0.3
BH to the middle · rally−1.3±2.9−0.8−0.6

Against Arianne Hartono-like opponents

Monica Puig vMatchesServe pts wonReturn pts won
All charted opponents–52.0%36.3%
Players most similar to Arianne Hartono1 45.1%34.0%

Similar by tactical fingerprint: Ashlyn Krueger, Robin Montgomery, Lulu Sun, Xiyu Wang, Caroline Garcia, Heather Watson, Camila Giorgi, Anett Kontaveit, Eugenie Bouchard, Coco Vandeweghe. When two players have rarely met, their records against these lookalikes fill the gap.