RallyIQ

Game plan

Rebecca Marino v Caroline Garcia

Every number combines what Rebecca Marino does well with what Caroline Garcia allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Rebecca Marino wins, best of 3 31%90%: 8%–67% · best of 5: 26%
Serve points won 59.9% / 63.8% Rebecca / Caroline · tour 58.1%
Strengths only, no similarity priors 33%serve 60.2% / 63.6%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Rebecca Marino's record against Caroline Garcia's tactical lookalikes and in their charted head-to-heads (lookalikes: −6.9 on serve, −4.7 on return vs expectation (136 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

CareerRebeccaCaroline
Direction choice−0.18 ±0.10
better than 20%
+0.13 ±0.06
better than 76%
Shot selection+0.03 ±0.15
better than 48%
+0.74 ±0.11
better than 98%
Execution−0.84 ±0.52
better than 23%
−1.52 ±0.45
better than 10%
Points left on the table2.70 ±0.11
lower than 33%
2.53 ±0.09
lower than 61%

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.

Structural compatibility

Expected edge per 100 rally shots from style alone: Rebecca Marino −1.26, Caroline Garcia −2.48. Each player's shot mix weighted by their own skill with each shot and by how much the other gives up against it. This is why some rankings gaps don't hold in a given matchup.

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.

Rebecca Marino serving

Deuce court

1st serveNowRebecca winsv CarolineMatchupOptimal
Wide45%65%70%69.1%±6.460% ▲
Body11%65%58%66.0%±10.20% ▼
T44%75%74%80.2%±6.040% ▼

Optimal v Caroline Garcia: +0.5±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRebecca winsv CarolineMatchupOptimal
Wide48%77%69%79.8%±6.063% ▲
Body10%56%56%55.9%±11.30% ▼
T42%72%69%75.6%±6.237% ▼

Optimal v Caroline Garcia: +0.9±0.9 per 100 first serves (faults included) over the current mix. Serving wide every time would read +4.2 per 100 first serves in before the returner adjusts.

Caroline Garcia serving

Deuce court

1st serveNowCaroline winsv RebeccaMatchupOptimal
Wide35%70%63%67.6%±6.450% ▲
Body16%55%55%52.9%±9.31% ▼
T49%67%65%64.5%±8.149%

Optimal v Rebecca Marino: +1.0±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowCaroline winsv RebeccaMatchupOptimal
Wide40%75%63%72.8%±7.155% ▲
Body12%59%52%54.9%±10.46% ▼
T49%64%65%65.2%±6.839% ▼

Optimal v Rebecca Marino: +0.5±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.8 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.

Rebecca Marino returning

1st serve to the forehand

ReturnNowTourOwnv CarolineValue
FH through the middle61%+4.2−0.1−0.5+3.6±2.4
FH crosscourt20%+5.3−2.3−2.1+0.9±4.1
FH down the line18%+1.5−0.2−0.5+0.8±4.6
FH slice through the middle1%−6.7−1.4−1.0−9.1±2.1

Lean FH through the middle: +1.2±1.5 per 100 returns v the current mix (337 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv CarolineValue
BH through the middle49%+6.0−0.1+0.1+6.1±2.4
BH crosscourt26%+7.7+3.8+0.3+11.8±3.5
BH down the line12%+2.2−1.3−3.0−2.1±4.4
BH slice through the middle7%−6.2−1.5−0.8−8.5±2.3
BH slice crosscourt6%−4.2−0.7−2.7−7.6±2.6

Lean BH crosscourt: +6.9±2.9 per 100 returns v the current mix (198 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv CarolineValue
FH through the middle57%−3.2+1.8−0.9−2.2±3.0
FH crosscourt35%+0.5+2.1−4.4−1.8±4.2
FH down the line9%−0.6−1.7+0.4−1.8±4.4

Lean FH crosscourt: +0.2±3.2 per 100 returns v the current mix (69 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv CarolineValue
BH through the middle47%−2.6+1.6+1.1+0.1±2.4
BH crosscourt41%+1.5+0.4+2.4+4.3±3.3
BH down the line12%−0.5+1.0−1.5−1.0±4.5

Lean BH crosscourt: +2.6±2.3 per 100 returns v the current mix (93 returns charted)

Caroline Garcia returning

1st serve to the forehand

ReturnNowTourOwnv RebeccaValue
FH through the middle44%+4.2−2.7+1.3+2.7±2.6
FH crosscourt29%+5.3−1.7−3.9−0.3±4.1
FH down the line18%+1.5−0.8−3.0−2.3±4.6
FH slice through the middle5%−6.7−0.3−0.1−7.1±2.5
FH slice crosscourt3%−6.6−0.3−0.8−7.7±2.3

Lean FH through the middle: +2.8±2.1 per 100 returns v the current mix (536 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RebeccaValue
BH through the middle46%+6.0−2.7−1.9+1.4±2.6
BH crosscourt32%+7.7−1.6−2.6+3.5±3.5
BH down the line10%+2.2−5.8−2.0−5.7±4.6
BH slice through the middle6%−6.2−2.2−0.8−9.2±2.4
BH slice crosscourt4%−4.2−0.8−2.3−7.3±2.3

Lean BH crosscourt: +3.5±2.7 per 100 returns v the current mix (457 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RebeccaValue
FH through the middle43%−3.2+2.0+0.1−1.0±3.1
FH crosscourt32%+0.5+2.3+0.5+3.3±4.4
FH down the line25%−0.6+2.8−1.9+0.4±5.1

Lean FH crosscourt: +2.6±3.5 per 100 returns v the current mix (114 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv RebeccaValue
BH crosscourt46%+1.5+1.4+0.7+3.5±3.5
BH through the middle35%−2.6+0.3+1.3−1.0±2.6
BH down the line19%−0.5−1.5+0.2−1.7±5.3

Lean BH crosscourt: +2.6±2.3 per 100 returns v the current mix (224 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 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.

Rebecca Marino

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+6.1±4.7+2.2+3.9
BH to their backhand · rally+2.9±3.7−0.5+3.4
FH to the middle · return+2.6±3.0+1.6+1.1
BH to their backhand · return+2.5±3.9+1.7+0.8
BH to the middle · serve +1+2.0±3.0+0.6+1.4
FH to their forehand · rally+1.7±3.7−1.7+3.5

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−8.5±4.4−3.5−5.0
FH to the middle · rally−5.4±2.8−4.2−1.2
FH to their forehand · return−5.4±3.8−1.6−3.8
FH to the middle · return +1−4.6±3.1−4.1−0.5
BH to their backhand · serve +1−4.3±4.2−3.3−1.0

Caroline Garcia

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+3.2±4.6+3.6−0.4
FH to the middle · return +1+0.4±3.1−0.1+0.5
FH to their forehand · return +1−0.2±4.4−0.3+0.1
FH to the middle · rally−0.5±2.7−1.5+1.0
FH to the middle · serve +1−0.6±2.9−1.4+0.9
BH to their backhand · rally−0.7±3.8+1.2−1.9

Avoid

ShotEdgeOwnTheirs
BH to their forehand · serve +1−7.4±4.7−3.0−4.5
BH to their forehand · rally−6.6±4.3−4.2−2.4
FH to their forehand · return−4.5±4.7−1.9−2.6
BH to their backhand · return−4.2±4.0−2.7−1.5
BH to the middle · serve +1−4.0±2.9−4.6+0.6

Against Caroline Garcia-like opponents

Rebecca Marino vMatchesServe pts wonReturn pts won
All charted opponents–61.1%41.8%
Players most similar to Caroline Garcia1 52.9%41.2%

Similar by tactical fingerprint: Elena Rybakina, Barbora Krejcikova, Lulu Sun, Veronika Kudermetova, Arianne Hartono, Petra Kvitova, Camila Giorgi, Anett Kontaveit, Coco Vandeweghe. When two players have rarely met, their records against these lookalikes fill the gap.