RallyIQ

Game plan

Benjamin Bonzi v Ricardas Berankis

Every number combines what Benjamin Bonzi does well with what Ricardas Berankis allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Benjamin Bonzi wins, best of 3 48%90%: 11%–87% · best of 5: 47%
Serve points won 64.6% / 65.1% Benjamin / Ricardas · tour 65.7%
Strengths only, no similarity priors 45%serve 64.3% / 65.3%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Benjamin Bonzi's record against Ricardas Berankis's tactical lookalikes and in their charted head-to-heads (lookalikes: +8.4 on serve, +4.1 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

CareerBenjaminRicardas
Direction choice+0.02 ±0.09
better than 61%
−0.04 ±0.13
better than 47%
Shot selection−0.12 ±0.18
better than 36%
+0.30 ±0.24
better than 79%
Execution−0.84 ±0.55
better than 30%
−1.82 ±0.66
better than 6%

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.

Benjamin Bonzi serving

Deuce court

1st serveNowBenjamin winsv RicardasMatchupOptimal
Wide42%72%73%72.2%±8.955% ▲
Body8%67%66%69.3%±13.40% ▼
T50%75%75%74.9%±9.045% ▼

Optimal v Ricardas Berankis: +0.5±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowBenjamin winsv RicardasMatchupOptimal
Wide45%71%71%69.3%±9.832% ▼
Body10%60%74%72.2%±13.511%
T44%73%70%71.2%±9.657% ▲

Optimal v Ricardas Berankis: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +1.7 per 100 first serves in before the returner adjusts.

Ricardas Berankis serving

Deuce court

1st serveNowRicardas winsv BenjaminMatchupOptimal
Wide31%64%73%64.5%±10.331%
Body15%59%57%52.2%±15.12% ▼
T54%70%83%78.6%±8.267% ▲

Optimal v Benjamin Bonzi: +0.9±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +8.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRicardas winsv BenjaminMatchupOptimal
Wide40%63%79%71.1%±10.037% ▼
Body10%52%70%59.9%±15.70% ▼
T50%68%73%69.1%±9.363% ▲

Optimal v Benjamin Bonzi: +0.5±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.2 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.

Benjamin Bonzi returning

1st serve to the forehand

ReturnNowTourOwnv RicardasValue
FH slice through the middle41%−4.2−0.4−0.1−4.7±2.2
FH through the middle21%+4.3+2.2+0.9+7.4±3.1
FH slice crosscourt16%−4.3+0.8±0.0−3.5±2.0
FH slice down the line9%−4.3+0.8−0.5−3.9±2.5
FH down the line6%+1.7+0.7+1.7+4.1±4.1

Lean FH through the middle: +7.9±2.7 per 100 returns v the current mix (225 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RicardasValue
BH through the middle52%+6.4+0.8+1.8+9.0±2.8
BH crosscourt22%+8.8−1.1±0.0+7.8±3.5
BH down the line10%+4.2−1.7+1.6+4.1±3.8
BH slice through the middle8%−4.2±0.0+0.3−4.0±2.2
BH slice crosscourt4%+0.5−2.2+0.9−0.8±2.1

Lean BH through the middle: +2.9±1.6 per 100 returns v the current mix (159 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RicardasValue
FH through the middle38%−3.5−0.4+1.4−2.5±2.8
FH crosscourt35%−0.2+1.6+1.1+2.4±3.9
FH down the line17%−1.8+1.5+0.3±0.0±4.2
FH slice through the middle10%−12.7+0.1±0.0−12.6±1.2

Lean FH crosscourt: +3.8±2.9 per 100 returns v the current mix (81 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv RicardasValue
BH through the middle51%−2.9−0.3+1.8−1.3±2.6
BH crosscourt38%+1.0−3.1−0.1−2.2±3.3
BH down the line11%−0.2−1.3−0.2−1.7±4.3

Lean BH through the middle: +0.4±1.8 per 100 returns v the current mix (116 returns charted, inside the 90% margin)

Ricardas Berankis returning

1st serve to the forehand

ReturnNowTourOwnv BenjaminValue
FH through the middle55%+4.3−3.8−0.4±0.0±3.0
FH crosscourt28%+5.5+0.6−1.5+4.6±4.4
FH down the line17%+1.7+0.8+3.7+6.2±4.3

Lean FH down the line: +3.9±4.1 per 100 returns v the current mix (114 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv BenjaminValue
BH through the middle36%+6.4−0.1+0.7+7.1±2.8
BH slice through the middle28%−4.2−1.0−2.0−7.2±2.5
BH crosscourt21%+8.8−0.5−0.3+8.0±3.5
BH slice crosscourt10%+0.5−1.4−2.1−3.0±2.3
BH down the line5%+4.2−2.9−1.9−0.7±3.7

Lean BH crosscourt: +6.1±3.0 per 100 returns v the current mix (111 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv BenjaminValue
BH through the middle49%−2.9−0.7−0.5−4.1±2.4
BH crosscourt30%+1.0+0.5−1.8−0.3±3.1
BH down the line21%−0.2+0.3+0.8+0.9±4.4

Lean BH crosscourt: +1.6±2.6 per 100 returns v the current mix (53 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.

Benjamin Bonzi

Favour

ShotEdgeOwnTheirs
BH to the middle · rally+1.5±2.3+1.4+0.1
BH to the middle · return+1.3±3.0±0.0+1.3
FH to the middle · return+1.0±2.9−0.6+1.6
FH to their backhand · rally±0.0±3.3+1.5−1.6
FH to the middle · rally−0.6±2.6+1.2−1.8
BH to their backhand · rally−2.9±3.9−0.8−2.2

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−6.2±3.5−4.1−2.1
BH to their backhand · return−5.2±4.3−3.5−1.8
BH to their backhand · rally−2.9±3.9−0.8−2.2
FH to the middle · rally−0.6±2.6+1.2−1.8
FH to their backhand · rally±0.0±3.3+1.5−1.6

Ricardas Berankis

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+4.9±3.8+3.5+1.4
BH to their backhand · rally+2.7±3.4+2.1+0.6
BH to the middle · return+2.4±3.6+1.4+1.1
FH to their forehand · rally+1.4±3.4+2.1−0.7
FH to their forehand · serve +1+0.8±4.8+0.4+0.4
FH to their backhand · rally+0.7±4.2−1.5+2.2

Avoid

ShotEdgeOwnTheirs
BH to their backhand · serve +1−9.0±4.1−5.2−3.8
BH to the middle · rally−2.7±2.3−2.6−0.1
FH to the middle · return−2.6±3.3−2.5−0.2
BH to their backhand · return−2.6±3.4−0.9−1.7
FH to the middle · rally−2.1±2.6−1.6−0.4

Against Ricardas Berankis-like opponents

Benjamin Bonzi vMatchesServe pts wonReturn pts won
All charted opponents–65.4%35.2%
Players most similar to Ricardas Berankis1 73.3%40.8%

Similar by tactical fingerprint: Tomas Machac, Zhizhen Zhang, Ethan Quinn, Fabio Fognini, Lucas Pouille, Peter Gojowczyk, Kevin Anderson, Denis Kudla, Martin Klizan. When two players have rarely met, their records against these lookalikes fill the gap.