RallyIQ

Game plan

Shelby Rogers v Anna Bondar

Every number combines what Shelby Rogers does well with what Anna Bondar allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Shelby Rogers wins, best of 3 54%90%: 27%–79% · best of 5: 54%
Serve points won 61.1% / 60.4% Shelby / Anna · tour 56.4%
Strengths only, no similarity priors 54%serve 61.1% / 60.4%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerShelbyAnna
Direction choice−0.15 ±0.09
better than 26%
−0.11 ±0.11
better than 35%
Shot selection−0.18 ±0.13
better than 29%
+0.19 ±0.20
better than 63%
Execution−0.20 ±0.44
better than 49%
−0.59 ±0.68
better than 30%
Points left on the table2.78 ±0.16
lower than 25%
2.70 ±0.14
lower than 32%

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: Shelby Rogers −0.47, Anna Bondar −0.31. 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.

Shelby Rogers serving

Deuce court

1st serveNowShelby winsv AnnaMatchupOptimal
Wide50%72%71%76.2%±6.765% ▲
Body18%59%61%63.1%±9.72% ▼
T32%65%72%69.2%±9.033%

Optimal v Anna Bondar: +0.6±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowShelby winsv AnnaMatchupOptimal
Wide44%66%68%68.7%±7.759% ▲
Body13%62%61%66.5%±10.50% ▼
T43%65%68%68.4%±8.341% ▼

Optimal v Anna Bondar: +0.6±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +0.4 per 100 first serves in before the returner adjusts.

Anna Bondar serving

Deuce court

1st serveNowAnna winsv ShelbyMatchupOptimal
Wide46%66%73%72.9%±7.061% ▲
Body20%65%57%64.7%±10.05% ▼
T34%75%69%76.2%±7.834%

Optimal v Shelby Rogers: +0.8±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAnna winsv ShelbyMatchupOptimal
Wide31%68%70%72.5%±8.430%
Body16%63%55%61.8%±10.61% ▼
T53%66%69%70.7%±7.669% ▲

Optimal v Shelby Rogers: +1.4±1.1 per 100 first serves (faults included) over the current mix. Serving wide every time would read +2.6 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.

Shelby Rogers returning

1st serve to the forehand

ReturnNowTourOwnv AnnaValue
FH through the middle42%+4.2±0.0−2.2+1.9±2.9
FH crosscourt21%+5.3−0.1+1.5+6.7±4.4
FH down the line15%+1.5−0.2−2.8−1.4±4.7
FH slice through the middle12%−6.7±0.0−0.4−7.1±2.5
FH slice crosscourt6%−6.6−1.0+0.8−6.8±2.5

Lean FH crosscourt: +6.3±3.7 per 100 returns v the current mix (264 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AnnaValue
BH through the middle46%+6.0−2.3−0.5+3.3±2.7
BH crosscourt19%+7.7+1.8−1.4+8.1±3.7
BH down the line13%+2.2−0.3+0.4+2.2±4.6
BH slice through the middle10%−6.2−0.7−1.8−8.7±2.3
BH slice crosscourt7%−4.2−2.9−1.0−8.0±2.5

Lean BH crosscourt: +6.8±3.3 per 100 returns v the current mix (237 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AnnaValue
FH through the middle71%−3.2+1.0+0.8−1.4±3.0
FH crosscourt29%+0.5−1.4+0.1−0.8±4.0

Lean FH through the middle: −0.2±1.5 per 100 returns v the current mix (41 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AnnaValue
BH through the middle52%−2.6−0.5+0.3−2.8±2.6
BH crosscourt26%+1.5−1.0−1.7−1.2±3.6
BH down the line19%−0.5+0.8+1.5+1.8±5.1
BH slice down the line3%−10.6−1.0±0.0−11.6±1.8

Lean BH down the line: +3.6±4.5 per 100 returns v the current mix (153 returns charted, inside the 90% margin)

Anna Bondar returning

1st serve to the forehand

ReturnNowTourOwnv ShelbyValue
FH through the middle43%+4.2+0.4+0.9+5.5±2.8
FH down the line21%+1.5+0.7−2.7−0.4±4.6
FH crosscourt13%+5.3−3.2+2.6+4.7±4.3
FH slice through the middle13%−6.7+1.5+0.9−4.3±2.5
FH slice crosscourt10%−6.6−0.5−0.9−8.1±2.2

Lean FH through the middle: +4.0±2.0 per 100 returns v the current mix (207 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ShelbyValue
BH through the middle50%+6.0+1.6+1.3+8.9±2.7
BH crosscourt27%+7.7−0.7+0.9+8.0±3.6
BH down the line11%+2.2−2.1−2.6−2.5±4.6
BH slice crosscourt5%−4.2−1.7−0.7−6.6±2.4
BH slice through the middle5%−6.2+0.4+1.5−4.4±2.3

Lean BH through the middle: +3.5±1.7 per 100 returns v the current mix (240 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ShelbyValue
FH through the middle46%−3.2+1.5−0.5−2.2±3.0
FH crosscourt28%+0.5−0.1+0.3+0.8±4.1
FH down the line26%−0.6−0.1+0.7±0.0±4.8

Lean FH crosscourt: +1.6±3.5 per 100 returns v the current mix (54 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv ShelbyValue
BH through the middle47%−2.6+2.1−1.1−1.7±2.7
BH crosscourt30%+1.5−0.8−2.4−1.7±3.6
FH through the middle10%−2.7+0.1−0.5−3.0±2.4
BH down the line9%−0.5−0.5+1.8+0.9±4.7
FH inside-in4%+0.7+0.4+0.3+1.4±3.9

Lean BH through the middle: −0.2±1.9 per 100 returns v the current mix (137 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 hard. Each player's hard record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Shelby Rogers

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+7.5±5.3+5.8+1.7
FH to their backhand · serve +1+5.0±5.4+0.1+4.9
FH to their forehand · return +1+3.2±5.6+3.2±0.0
FH to their forehand · return+3.0±6.1±0.0+3.0
FH to their forehand · rally+2.4±4.0+1.4+1.0
BH to the middle · serve +1+2.1±3.5+2.5−0.4

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−7.2±6.3−1.5−5.7
BH to their backhand · return−5.8±4.9−2.3−3.5
FH to their backhand · rally−5.4±4.6−2.1−3.3
BH to their backhand · serve +1−4.4±5.0−4.5+0.1
BH to their forehand · rally−4.2±6.1−2.2−2.0

Anna Bondar

Favour

ShotEdgeOwnTheirs
BH to their backhand · serve +1+6.2±5.3+4.1+2.1
FH to their backhand · serve +1+4.7±5.3−1.2+5.9
FH to their forehand · return+3.9±6.4+0.5+3.4
FH to the middle · return +1+3.0±3.8+2.3+0.7
FH to the middle · rally+2.8±3.1+1.0+1.8
BH to their forehand · serve +1+2.6±7.1+1.6+1.0

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return +1−7.2±6.2−6.1−1.1
FH to the middle · serve +1−4.2±3.6−1.1−3.1
BH to their backhand · return−3.1±4.7−0.4−2.7
FH to their forehand · serve +1−2.2±5.4−1.6−0.6
FH to their forehand · return +1−2.1±5.4+0.3−2.4

Against Anna Bondar-like opponents

Shelby Rogers vMatchesServe pts wonReturn pts won
All charted opponents–60.2%40.1%

Similar by tactical fingerprint: Coco Gauff, Xin Yu Wang, Jaqueline Cristian, Maria Sakkari, Paula Badosa, Jennifer Brady, R, Louisa Chirico, Ana Ivanovic. When two players have rarely met, their records against these lookalikes fill the gap.