RallyIQ

Game plan

Taro Daniel v Denis Kudla

Every number combines what Taro Daniel does well with what Denis Kudla allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Taro Daniel wins, best of 3 30%90%: 8%–64% · best of 5: 25%
Serve points won 63.0% / 67.3% Taro / Denis · tour 65.7%
Strengths only, no similarity priors 30%serve 63.0% / 67.3%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerTaroDenis
Direction choice−0.11 ±0.07
better than 29%
−0.13 ±0.09
better than 25%
Shot selection+0.04 ±0.23
better than 58%
−0.47 ±0.22
better than 12%
Execution−0.09 ±0.78
better than 64%
−0.61 ±0.59
better than 41%
Points left on the table2.42 ±0.16
lower than 71%
2.37 ±0.18
lower than 77%

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.

Taro Daniel serving

Deuce court

1st serveNowTaro winsv DenisMatchupOptimal
Wide39%71%82%80.7%±7.152% ▲
Body11%71%61%68.6%±13.90% ▼
T51%68%77%70.9%±9.248% ▼

Optimal v Denis Kudla: +0.9±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +6.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowTaro winsv DenisMatchupOptimal
Wide43%64%70%60.4%±10.236% ▼
Body6%61%55%52.6%±16.70% ▼
T51%67%75%70.3%±8.864% ▲

Optimal v Denis Kudla: +0.3±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.3 per 100 first serves in before the returner adjusts.

Denis Kudla serving

Deuce court

1st serveNowDenis winsv TaroMatchupOptimal
Wide31%77%75%79.1%±7.644% ▲
Body15%61%63%61.2%±14.52% ▼
T54%78%75%77.7%±7.754%

Optimal v Taro Daniel: +1.3±1.0 per 100 first serves (faults included) over the current mix. Serving wide every time would read +3.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowDenis winsv TaroMatchupOptimal
Wide48%72%77%76.3%±8.561% ▲
Body11%65%63%64.9%±15.20% ▼
T41%66%73%67.2%±10.039% ▼

Optimal v Taro Daniel: +0.3±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.0 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.

Taro Daniel returning

1st serve to the forehand

ReturnNowTourOwnv DenisValue
FH through the middle52%+4.3−0.1−0.3+3.8±3.0
FH crosscourt21%+5.5−2.3−3.3±0.0±4.4
FH down the line14%+1.7−1.1−0.6−0.1±4.3
FH slice through the middle7%−4.2+0.2−0.4−4.4±2.1
FH slice crosscourt3%−4.3−0.6+0.2−4.8±2.0

Lean FH through the middle: +2.4±1.8 per 100 returns v the current mix (176 returns charted)

1st serve to the backhand

ReturnNowTourOwnv DenisValue
BH through the middle51%+6.4+1.0+0.4+7.8±2.9
BH crosscourt26%+8.8+0.4+2.7+11.9±3.5
BH down the line19%+4.2±0.0−0.3+4.0±4.0
BH slice through the middle4%−4.2−0.8+3.4−1.6±2.0

Lean BH crosscourt: +4.1±3.1 per 100 returns v the current mix (139 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv DenisValue
FH through the middle57%−3.5+0.2+0.6−2.6±2.9
FH crosscourt33%−0.2−0.1−2.3−2.5±4.0
FH down the line10%−1.8+1.0+0.9+0.1±3.4

Lean FH crosscourt: −0.2±3.2 per 100 returns v the current mix (51 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv DenisValue
BH through the middle48%−2.9−1.5+0.8−3.5±2.5
BH crosscourt39%+1.0−0.2−0.7+0.1±3.3
BH down the line13%−0.2+1.8−2.6−1.0±4.5

Lean BH crosscourt: +1.9±2.4 per 100 returns v the current mix (119 returns charted, inside the 90% margin)

Denis Kudla returning

1st serve to the forehand

ReturnNowTourOwnv TaroValue
FH through the middle31%+4.3−1.4+0.9+3.8±3.0
FH slice through the middle24%−4.2+0.8+1.3−2.1±2.2
FH down the line16%+1.7+1.7+1.1+4.5±4.4
FH crosscourt14%+5.5−0.6+1.9+6.8±4.3
FH slice crosscourt10%−4.3+0.9±0.0−3.5±1.7

Lean FH crosscourt: +5.0±3.9 per 100 returns v the current mix (164 returns charted)

1st serve to the backhand

ReturnNowTourOwnv TaroValue
BH crosscourt32%+8.8+1.4+2.5+12.7±3.6
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±2.5
BH slice crosscourt11%+0.5−1.9−2.2−3.6±2.4
BH slice down the line9%−8.4−0.6+0.4−8.6±2.8

Lean BH crosscourt: +7.8±2.6 per 100 returns v the current mix (142 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv TaroValue
FH through the middle66%−3.5+1.5−0.4−2.3±2.9
FH down the line22%−1.8+2.0+0.2+0.5±3.8
FH crosscourt12%−0.2+0.6+0.5+0.9±3.6

Lean FH through the middle: −1.0±1.4 per 100 returns v the current mix (41 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv TaroValue
BH through the middle47%−2.9−0.6+1.1−2.3±2.5
BH crosscourt38%+1.0−0.8+0.7+0.9±3.3
BH down the line15%−0.2±0.0+1.3+1.1±4.7

Lean BH down the line: +1.7±4.3 per 100 returns v the current mix (107 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.

Taro Daniel

Favour

ShotEdgeOwnTheirs
BH to their backhand · serve +1+4.6±4.1+1.3+3.4
FH to their forehand · rally+3.7±4.3+0.3+3.4
BH to the middle · rally+1.8±2.8+1.4+0.3
FH to their backhand · serve +1+1.4±4.7−0.5+2.0
BH to their backhand · return+1.4±4.3−0.6+2.0
BH to their forehand · rally+1.2±5.2−1.4+2.6

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−6.4±4.3−0.6−5.8
FH to their forehand · return−5.2±4.7−1.3−3.9
BH to the middle · return−1.0±3.2−0.6−0.4
FH to their forehand · serve +1−0.4±5.2+0.2−0.6
FH to the middle · return−0.2±3.6+0.7−0.9

Denis Kudla

Favour

ShotEdgeOwnTheirs
BH to their backhand · return +1+4.2±4.5+1.7+2.6
BH to their backhand · return+3.6±4.2+1.2+2.4
FH to their forehand · rally+2.9±4.3+1.5+1.5
BH to the middle · rally+1.7±2.8+0.5+1.3
FH to their backhand · serve +1+1.4±4.8−3.7+5.1
BH to the middle · return+0.9±3.2−0.5+1.5

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−2.9±5.4−5.0+2.1
FH to the middle · return−1.9±3.6−2.7+0.9
FH to the middle · serve +1−1.1±3.5+0.1−1.1
BH to their backhand · rally−0.9±3.3−1.9+1.0
FH to their backhand · rally−0.6±4.2−3.3+2.6

Against Denis Kudla-like opponents

Taro Daniel vMatchesServe pts wonReturn pts won
All charted opponents–58.7%32.6%

Similar by tactical fingerprint: Tomas Machac, Daniel Altmaier, Benjamin Bonzi, Fabio Fognini, Ricardas Berankis, Viktor Troicki, Janko Tipsarevic, Ivan Ljubicic, Marat Safin. When two players have rarely met, their records against these lookalikes fill the gap.