RallyIQ

Game plan

Belinda Bencic v Shelby Rogers

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

Forecast

Belinda Bencic wins, best of 3 58%90%: 38%–77% · best of 5: 61%
Serve points won 60.5% / 58.9% Belinda / Shelby · tour 56.4%
Strengths only, no similarity priors 64%serve 61.3% / 58.5%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Belinda Bencic's record against Shelby Rogers's tactical lookalikes and in their charted head-to-heads (lookalikes: −2.9 on serve, −1.4 on return vs expectation (953 points); head-to-head: −1.1 on serve, −0.1 on return vs expectation (148 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

CareerBelindaShelby
Direction choice+0.11 ±0.04
better than 74%
−0.15 ±0.09
better than 26%
Shot selection+0.12 ±0.07
better than 58%
−0.18 ±0.13
better than 29%
Execution+0.91 ±0.34
better than 89%
−0.20 ±0.44
better than 49%
Points left on the table2.41 ±0.06
lower than 75%
2.78 ±0.16
lower than 25%

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: Belinda Bencic +0.94, Shelby Rogers −0.02. 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.

Belinda Bencic serving

Deuce court

1st serveNowBelinda winsv ShelbyMatchupOptimal
Wide50%66%73%73.0%±5.565% ▲
Body18%65%57%65.1%±7.63% ▼
T32%71%69%71.8%±6.332%

Optimal v Shelby Rogers: +0.8±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowBelinda winsv ShelbyMatchupOptimal
Wide42%70%70%74.6%±5.941% ▼
Body14%63%55%61.9%±8.40% ▼
T44%69%69%73.0%±5.959% ▲

Optimal v Shelby Rogers: +1.2±0.9 per 100 first serves (faults included) over the current mix. Serving wide every time would read +2.5 per 100 first serves in before the returner adjusts.

Shelby Rogers serving

Deuce court

1st serveNowShelby winsv BelindaMatchupOptimal
Wide50%72%67%72.8%±5.362% ▲
Body18%59%55%57.1%±8.72% ▼
T32%65%72%69.6%±6.636% ▲

Optimal v Belinda Bencic: +0.7±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowShelby winsv BelindaMatchupOptimal
Wide44%66%69%70.0%±6.059% ▲
Body13%62%53%59.3%±9.90% ▼
T43%65%67%67.7%±6.241% ▼

Optimal v Belinda Bencic: +0.7±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.4 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.

Belinda Bencic returning

1st serve to the forehand

ReturnNowTourOwnv ShelbyValue
FH through the middle32%+4.2±0.0+0.9+5.1±2.3
FH slice through the middle26%−6.7−0.4+0.9−6.2±2.2
FH crosscourt18%+5.3+0.9+2.6+8.8±4.0
FH down the line13%+1.5+2.7−2.7+1.6±4.3
FH slice crosscourt9%−6.6−0.2−0.9−7.7±2.3

Lean FH crosscourt: +8.0±3.4 per 100 returns v the current mix (1174 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ShelbyValue
BH through the middle47%+6.0+0.5+1.3+7.8±2.3
BH crosscourt34%+7.7−2.0+0.9+6.6±3.2
BH down the line9%+2.2+1.2−2.6+0.7±4.7
BH slice through the middle5%−6.2±0.0+1.5−4.8±2.5
BH slice crosscourt4%−4.2−1.8−0.7−6.7±2.7

Lean BH through the middle: +2.5±1.7 per 100 returns v the current mix (857 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ShelbyValue
FH through the middle44%−3.2+0.6−0.5−3.1±2.8
FH crosscourt25%+0.5−2.7+0.3−1.8±4.4
FH down the line23%−0.6+3.2+0.7+3.3±5.2
FH slice through the middle5%−15.2+0.2+0.7−14.3±2.0
FH slice crosscourt3%−14.9+0.3±0.0−14.6±1.5

Lean FH down the line: +5.5±4.3 per 100 returns v the current mix (383 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv ShelbyValue
BH crosscourt44%+1.5+2.8−2.4+1.9±3.2
BH through the middle41%−2.6−0.3−1.1−4.0±2.4
BH down the line14%−0.5+5.1+1.8+6.4±5.2
FH through the middle1%−2.7+0.3−0.5−2.8±2.1

Lean BH down the line: +6.4±4.8 per 100 returns v the current mix (525 returns charted)

Shelby Rogers returning

1st serve to the forehand

ReturnNowTourOwnv BelindaValue
FH through the middle42%+4.2±0.0+1.2+5.4±2.3
FH crosscourt21%+5.3−0.1+1.7+6.9±3.7
FH down the line15%+1.5−0.2−4.7−3.3±4.1
FH slice through the middle12%−6.7±0.0−0.9−7.6±2.4
FH slice crosscourt6%−6.6−1.0−0.5−8.0±2.6

Lean FH crosscourt: +5.5±3.1 per 100 returns v the current mix (264 returns charted)

1st serve to the backhand

ReturnNowTourOwnv BelindaValue
BH through the middle46%+6.0−2.3−0.8+3.0±2.2
BH crosscourt19%+7.7+1.8−2.5+7.0±3.2
BH down the line13%+2.2−0.3−2.4−0.5±4.1
BH slice through the middle10%−6.2−0.7−0.5−7.5±2.4
BH slice crosscourt7%−4.2−2.9−2.8−9.9±2.8

Lean BH crosscourt: +6.5±2.9 per 100 returns v the current mix (237 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv BelindaValue
FH through the middle71%−3.2+1.0+0.9−1.3±2.6
FH crosscourt29%+0.5−1.4+4.1+3.2±3.3

Lean FH through the middle: −1.3±1.2 per 100 returns v the current mix (41 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv BelindaValue
BH through the middle52%−2.6−0.5−0.6−3.8±2.3
BH crosscourt26%+1.5−1.0+0.3+0.9±3.2
BH down the line19%−0.5+0.8+1.9+2.2±4.7
BH slice down the line3%−10.6−1.0±0.0−11.6±1.8

Lean BH down the line: +3.9±4.1 per 100 returns v the current mix (153 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.

Belinda Bencic

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+6.0±4.3+0.1+5.9
BH to their forehand · serve +1+5.0±5.7+4.0+1.0
BH to their backhand · serve +1+4.7±4.3+2.6+2.1
FH to their forehand · return+4.6±5.0+1.2+3.4
BH to their forehand · return+3.2±5.5+2.6+0.6
FH to their forehand · rally+3.1±2.8+1.9+1.2

Avoid

ShotEdgeOwnTheirs
FH to the middle · serve +1−2.3±2.7+0.8−3.1
BH to the middle · serve +1−2.2±2.9−0.7−1.5
BH to their backhand · return−1.9±3.5+0.8−2.7
BH to the middle · rally−0.9±2.2+0.1−1.0
FH to their forehand · return +1−0.1±4.0+2.3−2.4

Shelby Rogers

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+6.2±4.0+5.8+0.4
FH to their forehand · rally+4.0±3.0+1.4+2.7
FH to their forehand · return +1+4.0±4.3+3.2+0.8
FH to their forehand · return+3.2±4.6±0.0+3.2
FH to the middle · return+2.4±2.5+0.8+1.5
FH to the middle · serve +1+2.0±3.0+2.1−0.1

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−6.3±5.2−1.5−4.8
BH to their backhand · return−4.0±3.8−2.3−1.7
BH to their forehand · serve +1−3.7±5.7−2.5−1.2
BH to their backhand · serve +1−2.0±4.2−4.5+2.5
BH to their forehand · return−1.7±5.0−2.5+0.8

Against Shelby Rogers-like opponents

Belinda Bencic vMatchesServe pts wonReturn pts won
All charted opponents–59.6%43.7%
Players most similar to Shelby Rogers6 55.9%40.0%
Shelby Rogers (charted head-to-head)1 59.2%41.7%

Similar by tactical fingerprint: Coco Gauff, Iva Jovic, Anastasia Potapova, Karolina Pliskova, Sorana Cirstea, Victoria Mboko, Nao Hibino, Irina Camelia Begu, Kaia Kanepi. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head