RallyIQ

Game plan

Hailey Baptiste v Bianca Andreescu

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

Forecast

Hailey Baptiste wins, best of 3 29%90%: 8%–63% · best of 5: 25%
Serve points won 60.7% / 65.0% Hailey / Bianca · tour 58.1%
Strengths only, no similarity priors 31%serve 60.6% / 64.5%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Hailey Baptiste's record against Bianca Andreescu's tactical lookalikes and in their charted head-to-heads (lookalikes: +1.4 on serve, −13.6 on return vs expectation (125 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

CareerHaileyBianca
Direction choice−0.30 ±0.26
better than 7%
−0.35 ±0.03
better than 4%
Shot selection+0.12 ±0.26
better than 57%
−0.08 ±0.07
better than 36%
Execution−1.91 ±0.52
better than 5%
−0.56 ±0.16
better than 31%

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.

Hailey Baptiste serving

Deuce court

1st serveNowHailey winsv BiancaMatchupOptimal
Wide53%74%68%75.2%±6.968% ▲
Body16%56%56%55.1%±10.71% ▼
T31%68%66%65.5%±9.531%

Optimal v Bianca Andreescu: +1.2±0.9 per 100 first serves (faults included) over the current mix. Serving wide every time would read +6.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowHailey winsv BiancaMatchupOptimal
Wide42%72%68%73.9%±7.257% ▲
Body22%61%57%62.0%±10.67% ▼
T36%72%64%72.4%±8.336%

Optimal v Bianca Andreescu: +0.8±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.2 per 100 first serves in before the returner adjusts.

Bianca Andreescu serving

Deuce court

1st serveNowBianca winsv HaileyMatchupOptimal
Wide38%67%66%66.5%±7.639%
Body30%59%58%59.3%±9.614% ▼
T32%72%73%76.7%±6.847% ▲

Optimal v Hailey Baptiste: +0.9±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +9.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowBianca winsv HaileyMatchupOptimal
Wide39%67%77%78.2%±6.854% ▲
Body27%57%57%57.9%±10.312% ▼
T34%65%77%76.8%±7.534%

Optimal v Hailey Baptiste: +1.0±0.9 per 100 first serves (faults included) over the current mix. 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.

Hailey Baptiste returning

1st serve to the forehand

ReturnNowTourOwnv BiancaValue
FH through the middle56%+4.2+1.0−0.4+4.8±2.4
FH down the line25%+1.5−6.7−2.0−7.1±3.6
FH crosscourt19%+5.3+0.5−0.7+5.2±3.1

Lean FH crosscourt: +3.4±3.0 per 100 returns v the current mix (106 returns charted)

1st serve to the backhand

ReturnNowTourOwnv BiancaValue
BH through the middle54%+6.0−2.6−0.9+2.6±2.2
BH crosscourt17%+7.7−0.6−1.2+6.0±2.6
BH down the line16%+2.2−0.6−4.7−3.2±3.4
BH slice through the middle8%−6.2+0.9+0.1−5.3±1.9
BH slice down the line4%−12.5−0.2−4.3−16.9±2.9

Lean BH crosscourt: +5.2±2.5 per 100 returns v the current mix (122 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv BiancaValue
BH through the middle37%−2.6−0.3−0.8−3.7±2.0
FH through the middle23%−2.7+0.3−0.5−2.9±1.8
BH crosscourt20%+1.5−3.2−1.4−3.1±2.4
BH down the line11%−0.5−2.8−3.0−6.4±3.3
FH inside-out9%+1.4−0.4−0.7+0.2±2.9

Lean FH through the middle: +0.4±1.7 per 100 returns v the current mix (65 returns charted, inside the 90% margin)

Bianca Andreescu returning

1st serve to the forehand

ReturnNowTourOwnv HaileyValue
FH through the middle51%+4.2+0.7−4.3+0.6±2.4
FH down the line16%+1.5−3.9−2.0−4.4±3.6
FH slice through the middle13%−6.7−1.5+0.8−7.4±2.2
FH crosscourt13%+5.3−2.7−0.4+2.2±2.9
FH slice crosscourt4%−6.6−3.1+0.6−9.1±2.5

Lean FH crosscourt: +4.0±2.9 per 100 returns v the current mix (2739 returns charted)

1st serve to the backhand

ReturnNowTourOwnv HaileyValue
BH through the middle55%+6.0−0.2−3.8+2.0±2.2
BH crosscourt17%+7.7−1.3−0.9+5.5±3.0
BH down the line16%+2.2+0.1+0.6+2.9±3.4
BH slice through the middle7%−6.2−3.5−1.3−11.1±2.1
BH slice crosscourt3%−4.2−3.7±0.0−7.9±2.0

Lean BH crosscourt: +4.4±2.8 per 100 returns v the current mix (2846 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv HaileyValue
FH through the middle51%−3.2+0.2+1.1−1.9±2.6
FH down the line21%−0.6+0.8−3.6−3.3±4.8
FH crosscourt19%+0.5+0.9−1.4±0.0±3.9
FH slice through the middle6%−15.2−1.0±0.0−16.2±1.9
FH slice crosscourt2%−14.9−1.6±0.0−16.5±1.8

Lean FH crosscourt: +3.1±3.6 per 100 returns v the current mix (778 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv HaileyValue
BH through the middle48%−2.6+0.1−0.6−3.2±2.2
BH crosscourt20%+1.5−1.1−0.8−0.4±3.2
BH down the line19%−0.5+1.7−2.3−1.2±3.9
FH through the middle5%−2.7+1.6+1.1±0.0±2.6
FH inside-out3%+1.4−1.1−3.6−3.4±4.2
FH inside-in3%+0.7+1.8−1.4+1.1±4.5

Lean FH inside-in: +3.1±4.6 per 100 returns v the current mix (1462 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.

Hailey Baptiste

Favour

ShotEdgeOwnTheirs
FH to the middle · return−0.1±3.3+1.1−1.2
BH to the middle · return−0.3±2.9+1.4−1.6
FH to their backhand · serve +1−0.8±4.0−1.1+0.4
FH to their forehand · serve +1−1.4±3.8+0.1−1.5
FH to their forehand · rally−1.7±3.3−0.6−1.1
FH to the middle · serve +1−3.8±2.6−2.8−1.0

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−7.5±3.7−5.2−2.3
FH to the middle · rally−4.6±2.5−3.7−0.9
FH to the middle · serve +1−3.8±2.6−2.8−1.0
FH to their forehand · rally−1.7±3.3−0.6−1.1
FH to their forehand · serve +1−1.4±3.8+0.1−1.5

Bianca Andreescu

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+6.5±3.9+2.1+4.4
FH to their forehand · serve +1+3.1±3.9+1.3+1.9
BH to their backhand · rally+2.4±4.3+0.3+2.0
BH to the middle · serve +1+0.6±3.2+1.3−0.7
BH to their backhand · serve +1+0.4±4.6+0.7−0.4
FH to the middle · rally+0.3±2.5+1.7−1.4

Avoid

ShotEdgeOwnTheirs
BH to the middle · return−4.3±2.3−0.7−3.6
FH to the middle · return−3.9±2.5−0.9−3.1
BH to their backhand · return−3.7±3.6−2.4−1.3
FH to their forehand · rally−1.4±3.5−0.6−0.8
BH to the middle · rally−1.3±2.3−0.7−0.6

Against Bianca Andreescu-like opponents

Hailey Baptiste vMatchesServe pts wonReturn pts won
All charted opponents–60.8%33.6%
Players most similar to Bianca Andreescu1 63.3%24.6%

Similar by tactical fingerprint: Cristina Bucsa, Karolina Muchova, Xin Yu Wang, Marta Kostyuk, Jasmine Paolini, Nadia Podoroska, Nao Hibino, Irina Camelia Begu, R, Andrea Petkovic. When two players have rarely met, their records against these lookalikes fill the gap.