RallyIQ

Game plan

Ricardas Berankis v Ugo Humbert

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

Forecast

Ricardas Berankis wins, best of 3 38%90%: 13%–69% · best of 5: 35%
Serve points won 61.4% / 63.9% Ricardas / Ugo · tour 63.4%
Strengths only, no similarity priors 38%serve 61.4% / 63.9%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerRicardasUgo
Direction choice−0.04 ±0.13
better than 47%
−0.09 ±0.06
better than 34%
Shot selection+0.30 ±0.24
better than 79%
−0.20 ±0.13
better than 30%
Execution−1.82 ±0.66
better than 6%
+0.66 ±0.45
better than 87%

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.

Ricardas Berankis serving

Deuce court

1st serveNowRicardas winsv UgoMatchupOptimal
Wide31%64%73%64.2%±9.044% ▲
Body15%59%65%61.2%±12.52% ▼
T54%70%75%70.2%±7.554%

Optimal v Ugo Humbert: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRicardas winsv UgoMatchupOptimal
Wide40%63%79%71.1%±8.337% ▼
Body10%52%68%57.6%±13.90% ▼
T50%68%73%68.8%±7.663% ▲

Optimal v Ugo Humbert: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.6 per 100 first serves in before the returner adjusts.

Ugo Humbert serving

Deuce court

1st serveNowUgo winsv RicardasMatchupOptimal
Wide45%78%73%77.9%±6.758% ▲
Body5%64%66%67.1%±12.20% ▼
T49%70%75%70.0%±8.542% ▼

Optimal v Ricardas Berankis: +0.5±0.7 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 serveNowUgo winsv RicardasMatchupOptimal
Wide53%72%71%69.8%±7.845% ▼
Body5%59%74%70.6%±12.70% ▼
T42%81%70%79.4%±6.555% ▲

Optimal v Ricardas Berankis: +0.7±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.5 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.

Ricardas Berankis returning

1st serve to the forehand

ReturnNowTourOwnv UgoValue
FH through the middle55%+4.3−3.8+2.7+3.1±2.7
FH crosscourt28%+5.5+0.6+4.9+11.0±4.2
FH down the line17%+1.7+0.8−3.9−1.4±4.3

Lean FH crosscourt: +6.5±3.4 per 100 returns v the current mix (114 returns charted)

1st serve to the backhand

ReturnNowTourOwnv UgoValue
BH through the middle36%+6.4−0.1+4.5+10.8±2.3
BH slice through the middle28%−4.2−1.0+2.1−3.0±2.2
BH crosscourt21%+8.8−0.5+5.3+13.6±3.1
BH slice crosscourt10%+0.5−1.4+5.2+4.3±2.7
BH down the line5%+4.2−2.9−1.3±0.0±3.4

Lean BH crosscourt: +7.3±2.7 per 100 returns v the current mix (111 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv UgoValue
BH through the middle49%−2.9−0.7+1.2−2.4±2.0
BH crosscourt30%+1.0+0.5−0.1+1.5±2.6
BH down the line21%−0.2+0.3+1.2+1.3±4.2

Lean BH crosscourt: +1.9±2.2 per 100 returns v the current mix (53 returns charted, inside the 90% margin)

Ugo Humbert returning

1st serve to the forehand

ReturnNowTourOwnv RicardasValue
FH through the middle41%+4.3+1.8+0.9+6.9±2.7
FH crosscourt22%+5.5+2.7+1.7+9.9±4.1
FH down the line20%+1.7+3.4+0.9+6.1±3.9
FH slice through the middle12%−4.2+0.4−0.1−3.9±2.2
FH slice crosscourt2%−4.3−1.1−0.5−5.9±2.1

Lean FH crosscourt: +4.3±3.5 per 100 returns v the current mix (698 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RicardasValue
BH through the middle45%+6.4+2.6+1.8+10.8±2.3
BH down the line16%+4.2+4.7±0.0+8.9±4.2
BH crosscourt15%+8.8+1.8+1.6+12.2±3.0
BH slice through the middle13%−4.2−1.2+0.3−5.1±2.3
BH slice down the line5%−8.4+0.6+0.9−6.9±3.1

Lean BH crosscourt: +5.3±2.9 per 100 returns v the current mix (963 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RicardasValue
FH through the middle58%−3.5+0.6+1.4−1.5±2.6
FH crosscourt21%−0.2−2.0+0.3−2.0±4.3
FH down the line19%−1.8−2.9+1.1−3.6±4.3
BH through the middle3%+0.1+0.6+1.8+2.5±1.8

Lean FH through the middle: +0.4±1.6 per 100 returns v the current mix (339 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv RicardasValue
BH through the middle58%−2.9+2.5+1.8+1.4±2.2
BH crosscourt21%+1.0+0.6−0.2+1.3±3.1
BH down the line20%−0.2+2.7−0.1+2.4±4.9
BH slice through the middle1%−11.3±0.0±0.0−11.3±1.1

Lean BH down the line: +1.0±4.2 per 100 returns v the current mix (503 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.

Ricardas Berankis

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+3.1±3.2+3.5−0.4
BH to the middle · return+1.7±2.1−0.4+2.1
FH to their forehand · serve +1+1.2±3.5+0.4+0.8
BH to their forehand · rally+1.1±3.5−0.8+2.0
BH to their backhand · return−0.5±3.0−0.9+0.4
FH to the middle · return−1.2±2.4−2.6+1.5

Avoid

ShotEdgeOwnTheirs
BH to their backhand · serve +1−5.0±3.2−4.8−0.2
BH to the middle · rally−3.3±1.9−2.6−0.7
FH to their forehand · return−1.9±4.4+0.5−2.4
FH to their backhand · rally−1.4±2.7−1.5+0.2
BH to their backhand · rally−1.4±2.5+0.2−1.6

Ugo Humbert

Favour

ShotEdgeOwnTheirs
BH to the middle · return+4.9±2.0+2.6+2.3
FH to their backhand · return+2.8±3.6+1.4+1.4
BH to their backhand · return+2.0±3.0+2.7−0.7
FH to the middle · return+1.8±2.3+0.2+1.6
BH to their backhand · rally−0.3±2.3−1.9+1.6
BH to the middle · rally−1.0±1.9−1.2+0.1

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−3.6±3.0−1.5−2.1
FH to the middle · rally−3.0±2.1−1.2−1.8
FH to their backhand · rally−2.3±2.7−0.7−1.6
BH to the middle · rally−1.0±1.9−1.2+0.1
BH to their backhand · rally−0.3±2.3−1.9+1.6

Against Ugo Humbert-like opponents

Ricardas Berankis vMatchesServe pts wonReturn pts won
All charted opponents–55.9%36.1%

Similar by tactical fingerprint: Rafael Jodar, Learner Tien, Joao Fonseca, Hubert Hurkacz, Sebastian Korda, Alexei Popyrin, Laslo Djere, Gregoire Barrere, Fernando Verdasco, Denis Istomin. When two players have rarely met, their records against these lookalikes fill the gap.