Game plan

Bianca Andreescu v Camila Osorio

Every number combines what Bianca Andreescu does well with what Camila Osorio allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Bianca Andreescu wins, best of 3 46%90%: 22%–71% · best of 5: 45%

Serve points won 53.5% / 54.3% Bianca / Camila · tour 55.0%

Strengths only, no similarity priors 46%serve 52.7% / 53.4%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Bianca Andreescu's record against Camila Osorio's tactical lookalikes and in their charted head-to-heads (lookalikes: +3.2 on serve, −3.5 on return vs expectation (921 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

Career	Bianca	Camila
Direction choice	−0.35 ±0.03 better than 4%	−0.19 ±0.11 better than 19%
Shot selection	−0.08 ±0.07 better than 36%	−0.69 ±0.25 better than 6%
Execution	−0.56 ±0.16 better than 31%	−0.11 ±0.67 better than 56%
Points left on the table	3.03 ±0.04 lower than 10%	2.68 ±0.13 lower than 37%

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: Bianca Andreescu −1.14, Camila Osorio −1.10. 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.

Bianca Andreescu serving

Deuce court

1st serve	Now	Bianca wins	v Camila	Matchup	Optimal
Wide	38%	67%	65%	66.1%±5.6	51% ▲
Body	30%	59%	52%	53.8%±6.8	14% ▼
T	32%	72%	65%	69.8%±6.0	35% ▲

Optimal v Camila Osorio: +1.2±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +6.1 per 100 first serves in before the returner adjusts.

Ad court

1st serve	Now	Bianca wins	v Camila	Matchup	Optimal
Wide	39%	67%	63%	64.4%±5.5	54% ▲
Body	27%	57%	48%	49.1%±8.5	12% ▼
T	34%	65%	63%	63.6%±6.7	34%

Optimal v Camila Osorio: +0.8±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.4 per 100 first serves in before the returner adjusts.

Camila Osorio serving

Deuce court

1st serve	Now	Camila wins	v Bianca	Matchup	Optimal
Wide	48%	67%	68%	68.2%±5.2	63% ▲
Body	32%	57%	56%	56.3%±6.4	17% ▼
T	20%	70%	66%	67.7%±8.1	20%

Optimal v Bianca Andreescu: +1.1±0.8 per 100 first serves (faults included) over the current mix. Serving wide every time would read +4.0 per 100 first serves in before the returner adjusts.

Ad court

1st serve	Now	Camila wins	v Bianca	Matchup	Optimal
Wide	27%	66%	68%	68.7%±6.9	43% ▲
Body	39%	51%	57%	52.2%±6.3	24% ▼
T	34%	58%	64%	57.5%±6.7	33%

Optimal v Bianca Andreescu: +0.7±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +10.2 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.

Bianca Andreescu returning

1st serve to the forehand

Return	Now	Tour	Own	v Camila	Value
FH through the middle	51%	+4.2	+0.7	−1.8	+3.0±1.9
FH down the line	16%	+1.5	−3.9	+0.6	−1.8±3.6
FH slice through the middle	13%	−6.7	−1.5	+0.4	−7.8±2.1
FH crosscourt	13%	+5.3	−2.7	+2.3	+4.9±3.7
FH slice crosscourt	4%	−6.6	−3.1	±0.0	−9.7±1.9

Lean FH crosscourt: +4.7±3.4 per 100 returns v the current mix (2739 returns charted)

1st serve to the backhand

Return	Now	Tour	Own	v Camila	Value
BH through the middle	55%	+6.0	−0.2	−2.2	+3.7±1.9
BH crosscourt	17%	+7.7	−1.3	−0.2	+6.2±2.9
BH down the line	16%	+2.2	+0.1	−0.3	+2.0±3.9
BH slice through the middle	7%	−6.2	−3.5	±0.0	−9.8±2.0
BH slice crosscourt	3%	−4.2	−3.7	−0.5	−8.4±2.7

Lean BH crosscourt: +4.1±2.7 per 100 returns v the current mix (2846 returns charted)

2nd serve to the forehand

Return	Now	Tour	Own	v Camila	Value
FH through the middle	51%	−3.2	+0.2	+1.6	−1.5±2.4
FH down the line	21%	−0.6	+0.8	−0.3	±0.0±4.8
FH crosscourt	19%	+0.5	+0.9	+3.7	+5.1±4.2
FH slice through the middle	6%	−15.2	−1.0	±0.0	−16.2±1.9
FH slice crosscourt	2%	−14.9	−1.6	±0.0	−16.5±1.8

Lean FH crosscourt: +6.3±3.7 per 100 returns v the current mix (778 returns charted)

2nd serve to the backhand

Return	Now	Tour	Own	v Camila	Value
BH through the middle	48%	−2.6	+0.1	+0.8	−1.7±2.2
BH crosscourt	20%	+1.5	−1.1	−0.3	±0.0±3.1
BH down the line	19%	−0.5	+1.7	−0.1	+1.1±3.8
FH through the middle	5%	−2.7	+1.6	+1.6	+0.4±2.5
FH inside-out	3%	+1.4	−1.1	−0.3	±0.0±4.2
FH inside-in	3%	+0.7	+1.8	+3.7	+6.2±4.7

Lean FH inside-in: +6.7±4.8 per 100 returns v the current mix (1462 returns charted)

Camila Osorio returning

1st serve to the forehand

Return	Now	Tour	Own	v Bianca	Value
FH through the middle	40%	+4.2	−0.7	−0.4	+3.0±2.2
FH slice through the middle	26%	−6.7	+0.6	+0.2	−5.9±2.1
FH crosscourt	15%	+5.3	−0.6	−0.7	+4.0±3.4
FH down the line	9%	+1.5	−1.8	−2.0	−2.2±3.6
FH slice crosscourt	9%	−6.6	+1.9	−2.7	−7.4±2.6

Lean FH crosscourt: +4.7±3.1 per 100 returns v the current mix (267 returns charted)

1st serve to the backhand

Return	Now	Tour	Own	v Bianca	Value
BH through the middle	52%	+6.0	−2.0	−0.9	+3.2±1.9
BH crosscourt	21%	+7.7	−1.0	−1.2	+5.6±2.8
BH slice through the middle	11%	−6.2	−0.4	+0.1	−6.6±2.2
BH down the line	10%	+2.2	+1.5	−4.7	−1.1±3.6
BH slice crosscourt	6%	−4.2	+0.5	−4.8	−8.5±2.8

Lean BH crosscourt: +4.0±2.5 per 100 returns v the current mix (313 returns charted)

2nd serve to the forehand

Return	Now	Tour	Own	v Bianca	Value
FH through the middle	54%	−3.2	−2.7	−0.5	−6.3±2.4
FH crosscourt	33%	+0.5	±0.0	−3.4	−2.9±3.5
FH down the line	13%	−0.6	−1.5	−0.7	−2.7±3.8

Lean FH crosscourt: +1.8±2.7 per 100 returns v the current mix (67 returns charted, inside the 90% margin)

2nd serve to the backhand

Return	Now	Tour	Own	v Bianca	Value
BH through the middle	38%	−2.6	+0.3	−0.8	−3.1±2.1
BH crosscourt	33%	+1.5	+2.2	−1.4	+2.3±2.9
BH down the line	11%	−0.5	−1.6	−3.0	−5.2±3.8
FH inside-in	8%	+0.7	−1.5	−3.4	−4.2±3.3
FH through the middle	6%	−2.7	−0.2	−0.5	−3.4±1.6

Lean BH crosscourt: +3.8±2.1 per 100 returns v the current mix (141 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 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.

Bianca Andreescu

Favour

Shot	Edge	Own	Theirs
FH to their forehand · return	+2.8±4.8	−1.7	+4.5
FH to their backhand · serve +1	+2.6±3.9	+2.0	+0.6
BH to their backhand · rally	+1.2±2.8	+1.4	−0.2
FH to their backhand · return +1	+0.8±4.5	−1.2	+2.1
BH to their backhand · return	+0.5±3.9	+0.7	−0.2
FH to their forehand · serve +1	−0.7±4.1	+1.1	−1.8

Avoid

Shot	Edge	Own	Theirs
BH to the middle · return +1	−5.6±2.8	−1.9	−3.8
BH to their backhand · serve +1	−4.2±3.8	+0.4	−4.6
BH to the middle · rally	−3.5±2.3	−0.5	−2.9
BH to the middle · return	−3.4±2.5	−0.8	−2.6
BH to their forehand · serve +1	−3.4±5.9	+0.4	−3.8

Camila Osorio

Favour

Shot	Edge	Own	Theirs
BH to their forehand · rally	+6.3±5.0	+7.0	−0.7
FH slice to the middle · return	+3.6±3.3	+3.3	+0.2
BH to the middle · return +1	+3.4±3.0	+4.6	−1.2
FH to their forehand · return +1	+1.8±4.5	+0.9	+0.9
BH to their backhand · return	+1.7±3.5	+2.6	−0.9
BH to their backhand · rally	+1.2±3.0	+1.3	−0.2

Avoid

Shot	Edge	Own	Theirs
BH to their forehand · return	−4.2±5.2	−0.3	−3.9
FH to their backhand · return	−4.0±5.0	−3.8	−0.2
BH slice to their backhand · rally	−3.9±3.5	+0.2	−4.1
BH to their backhand · return +1	−3.5±3.9	−0.9	−2.7
FH to their backhand · rally	−3.0±3.1	−0.6	−2.5

Against Camila Osorio-like opponents

Bianca Andreescu v	Matches	Serve pts won	Return pts won
All charted opponents	–	58.8%	43.5%
Players most similar to Camila Osorio	6	61.7%	40.4%

Similar by tactical fingerprint: Viktorija Golubic, Antonia Ruzic, Emma Navarro, Yulia Putintseva, Lin Zhu, Anastasija Sevastova, Petra Martic, Clara Burel, R. When two players have rarely met, their records against these lookalikes fill the gap.