RallyIQ

Game plan

Denis Kudla v Ricardas Berankis

Every number combines what Denis Kudla 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

Denis Kudla wins, best of 3 47%90%: 15%–81% · best of 5: 46%
Serve points won 58.9% / 59.5% Denis / Ricardas · tour 61.3%
Strengths only, no similarity priors 51%serve 59.4% / 59.3%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Denis Kudla's record against Ricardas Berankis's tactical lookalikes and in their charted head-to-heads (head-to-head: −12.4 on serve, −7.1 on return vs expectation (112 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

CareerDenisRicardas
Direction choice−0.13 ±0.09
better than 25%
−0.04 ±0.13
better than 47%
Shot selection−0.47 ±0.22
better than 12%
+0.30 ±0.24
better than 79%
Execution−0.61 ±0.59
better than 41%
−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.

Denis Kudla serving

Deuce court

1st serveNowDenis winsv RicardasMatchupOptimal
Wide31%77%73%77.5%±8.744% ▲
Body15%61%66%63.9%±13.72% ▼
T54%78%75%77.8%±8.654%

Optimal v Ricardas Berankis: +1.1±1.1 per 100 first serves (faults included) over the current mix. Serving T every time would read +2.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowDenis winsv RicardasMatchupOptimal
Wide48%72%71%69.7%±10.135% ▼
Body11%65%74%75.6%±13.011%
T41%66%70%64.4%±10.954% ▲

Optimal v Ricardas Berankis: +0.2±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +7.5 per 100 first serves in before the returner adjusts.

Ricardas Berankis serving

Deuce court

1st serveNowRicardas winsv DenisMatchupOptimal
Wide31%64%82%75.7%±9.244% ▲
Body15%59%61%56.3%±15.32% ▼
T54%70%77%72.4%±9.254%

Optimal v Denis Kudla: +1.1±1.1 per 100 first serves (faults included) over the current mix. Serving wide every time would read +4.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRicardas winsv DenisMatchupOptimal
Wide40%63%70%60.1%±11.537% ▼
Body10%52%55%43.3%±16.10% ▼
T50%68%75%71.0%±9.463% ▲

Optimal v Denis Kudla: +0.9±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +7.2 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.

Denis Kudla returning

1st serve to the forehand

ReturnNowTourOwnv RicardasValue
FH through the middle31%+4.3−1.4+0.9+3.7±3.1
FH slice through the middle24%−4.2+0.8−0.1−3.5±2.3
FH down the line16%+1.7+1.7+1.7+5.0±4.4
FH crosscourt14%+5.5−0.6+0.9+5.9±4.0
FH slice crosscourt10%−4.3+0.9±0.0−3.5±1.7

Lean FH crosscourt: +4.5±3.7 per 100 returns v the current mix (164 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RicardasValue
BH crosscourt32%+8.8+1.4±0.0+10.2±3.5
BH through the middle26%+6.4+1.9+1.8+10.2±2.8
BH slice through the middle21%−4.2+1.0+0.3−2.9±2.4
BH slice crosscourt11%+0.5−1.9+0.9−0.4±2.5
BH slice down the line9%−8.4−0.6±0.0−9.0±2.0

Lean BH crosscourt: +5.7±2.6 per 100 returns v the current mix (142 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RicardasValue
FH through the middle66%−3.5+1.5+1.4−0.6±2.8
FH down the line22%−1.8+2.0+0.3+0.5±4.0
FH crosscourt12%−0.2+0.6+1.1+1.5±3.1

Lean FH through the middle: −0.5±1.4 per 100 returns v the current mix (41 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv RicardasValue
BH through the middle47%−2.9−0.6+1.8−1.7±2.6
BH crosscourt38%+1.0−0.8−0.1+0.1±3.3
BH down the line15%−0.2±0.0−0.2−0.5±4.5

Lean BH crosscourt: +0.9±2.5 per 100 returns v the current mix (107 returns charted, inside the 90% margin)

Ricardas Berankis returning

1st serve to the forehand

ReturnNowTourOwnv DenisValue
FH through the middle55%+4.3−3.8−0.3+0.1±3.1
FH crosscourt28%+5.5+0.6−3.3+2.8±4.4
FH down the line17%+1.7+0.8−0.6+1.8±4.2

Lean FH crosscourt: +1.7±3.6 per 100 returns v the current mix (114 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv DenisValue
BH through the middle36%+6.4−0.1+0.4+6.7±2.9
BH slice through the middle28%−4.2−1.0+3.4−1.8±2.5
BH crosscourt21%+8.8−0.5+2.7+11.0±3.4
BH slice crosscourt10%+0.5−1.4−0.5−1.4±2.6
BH down the line5%+4.2−2.9−0.3+1.0±3.2

Lean BH crosscourt: +6.9±3.0 per 100 returns v the current mix (111 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv DenisValue
BH through the middle49%−2.9−0.7+0.8−2.8±2.4
BH crosscourt30%+1.0+0.5−0.7+0.8±3.1
BH down the line21%−0.2+0.3−2.6−2.5±4.3

Lean BH crosscourt: +2.4±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 clay. Each player's clay record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Denis Kudla

Favour

ShotEdgeOwnTheirs
BH to the middle · return+2.5±2.5+0.2+2.3
BH to their backhand · rally+1.1±2.6−0.5+1.6
FH to the middle · return+0.6±2.8−1.0+1.6
BH to their backhand · return+0.2±3.3+0.9−0.7
BH to the middle · rally+0.1±2.3±0.0+0.1
FH to the middle · rally−2.2±2.5−0.4−1.8

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−3.9±3.3−2.3−1.6
FH to their forehand · rally−2.9±3.6−0.8−2.1
FH to the middle · rally−2.2±2.5−0.4−1.8
BH to the middle · rally+0.1±2.3±0.0+0.1
BH to their backhand · return+0.2±3.3+0.9−0.7

Ricardas Berankis

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+3.6±3.9+3.5+0.1
FH to their forehand · rally+2.8±3.5+2.1+0.7
FH to their forehand · serve +1−0.6±4.2+0.4−1.0
BH to their backhand · return−0.6±3.5−0.9+0.3
BH to their forehand · rally−0.7±4.5−0.8+0.1
BH to the middle · return−0.9±2.5−0.4−0.5

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−4.9±3.4−1.5−3.4
FH to the middle · rally−3.4±2.5−1.6−1.8
FH to their forehand · return−3.4±4.7+0.5−3.9
BH to their backhand · serve +1−3.2±3.4−4.8+1.6
FH to the middle · return−2.4±2.8−2.6+0.3

Against Ricardas Berankis-like opponents

Denis Kudla vMatchesServe pts wonReturn pts won
All charted opponents–62.2%33.1%
Ricardas Berankis (charted head-to-head)1 49.2%31.4%

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

Charted head-to-head