RallyIQ

Game plan

James Duckworth v Matteo Arnaldi

Every number combines what James Duckworth does well with what Matteo Arnaldi allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

James Duckworth wins, best of 3 24%90%: 9%–47% · best of 5: 19%
Serve points won 61.7% / 67.3% James / Matteo · tour 63.8%
Strengths only, no similarity priors 24%serve 61.7% / 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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 James Duckworth's record against Matteo Arnaldi'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

CareerJamesMatteo
Direction choice+0.02 ±0.24
better than 61%
±0.00 ±0.05
better than 57%
Shot selection+0.05 ±0.32
better than 60%
−0.18 ±0.32
better than 32%
Execution−1.28 ±1.00
better than 16%
−0.22 ±0.92
better than 56%
Points left on the table2.74 ±0.37
lower than 37%
2.65 ±0.11
lower than 45%

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.

James Duckworth serving

Deuce court

1st serveNowJames winsv MatteoMatchupOptimal
Wide46%72%72%71.2%±7.740% ▼
Body6%70%65%71.4%±13.50% ▼
T47%82%76%82.8%±6.560% ▲

Optimal v Matteo Arnaldi: +0.4±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJames winsv MatteoMatchupOptimal
Wide52%71%71%68.9%±8.343% ▼
Body4%56%59%51.3%±16.40% ▼
T44%70%71%69.2%±8.657% ▲

Optimal v Matteo Arnaldi: +0.5±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +0.9 per 100 first serves in before the returner adjusts.

Matteo Arnaldi serving

Deuce court

1st serveNowMatteo winsv JamesMatchupOptimal
Wide47%70%83%81.3%±6.644% ▼
Body10%61%68%65.9%±13.90% ▼
T43%72%86%84.3%±6.256% ▲

Optimal v James Duckworth: +0.7±0.9 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 serveNowMatteo winsv JamesMatchupOptimal
Wide47%66%79%73.6%±8.334% ▼
Body3%66%71%73.0%±14.53%
T50%68%82%78.5%±8.163% ▲

Optimal v James Duckworth: +0.7±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.5 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.

James Duckworth returning

1st serve to the forehand

ReturnNowTourOwnv MatteoValue
FH through the middle44%+4.3−0.7+2.8+6.3±2.8
FH down the line23%+1.7−0.6+1.2+2.3±4.4
FH slice through the middle14%−4.2+0.6+1.0−2.6±2.2
FH crosscourt13%+5.5−2.9+5.4+8.0±3.9
FH slice down the line5%−4.3−0.9±0.0−5.1±1.9

Lean FH through the middle: +2.6±2.0 per 100 returns v the current mix (104 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MatteoValue
BH through the middle37%+6.4−0.2+2.1+8.4±2.7
BH crosscourt33%+8.8−2.2+3.2+9.7±3.5
BH down the line15%+4.2−2.0+2.1+4.4±4.3
BH slice through the middle8%−4.2+0.1+0.9−3.2±2.2
BH slice crosscourt6%+0.5+0.3−0.3+0.5±2.5

Lean BH crosscourt: +3.0±2.6 per 100 returns v the current mix (118 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MatteoValue
BH through the middle48%−2.9−0.9−1.5−5.3±2.4
BH crosscourt44%+1.0+0.5−0.1+1.4±2.9
BH down the line8%−0.2−2.1+0.2−2.1±4.1

Lean BH crosscourt: +3.5±2.0 per 100 returns v the current mix (75 returns charted)

Matteo Arnaldi returning

1st serve to the forehand

ReturnNowTourOwnv JamesValue
FH through the middle39%+4.3+0.1−0.2+4.1±2.9
FH slice through the middle18%−4.2+0.8−0.2−3.5±2.2
FH down the line16%+1.7+1.9±0.0+3.6±4.5
FH crosscourt14%+5.5+2.5−1.4+6.6±4.3
FH slice down the line10%−4.3+4.3+0.5+0.6±2.7

Lean FH crosscourt: +4.1±3.9 per 100 returns v the current mix (340 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JamesValue
BH through the middle42%+6.4+2.7−0.5+8.6±2.7
BH crosscourt23%+8.8+2.2−1.5+9.4±3.5
BH slice through the middle16%−4.2+0.2+0.2−3.8±2.2
BH down the line11%+4.2+4.0−4.8+3.4±4.4
BH slice crosscourt5%+0.5+1.0−0.2+1.3±2.6

Lean BH crosscourt: +4.0±3.0 per 100 returns v the current mix (324 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JamesValue
FH through the middle45%−3.5−0.5+2.4−1.6±2.9
FH crosscourt29%−0.2−3.1−2.0−5.3±4.1
FH down the line26%−1.8−2.9−1.6−6.3±4.5

Lean FH through the middle: +2.3±2.3 per 100 returns v the current mix (126 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv JamesValue
BH through the middle42%−2.9+2.4+0.6+0.2±2.4
BH crosscourt38%+1.0+0.6−0.8+0.8±3.2
BH down the line8%−0.2+5.9±0.0+5.7±4.7
FH through the middle5%−2.9+0.4+2.4−0.2±2.3
FH inside-in4%+0.6−0.5−2.0−1.9±3.6

Lean BH down the line: +5.0±4.6 per 100 returns v the current mix (284 returns charted)

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.

James Duckworth

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+3.4±3.9+2.3+1.0
FH to the middle · rally+1.5±3.2±0.0+1.5
BH to their backhand · rally+1.1±3.0+0.9+0.2
FH to the middle · return+1.0±3.5−1.4+2.4
BH slice to their backhand · rally+1.0±3.3−0.8+1.8
FH to their forehand · serve +1+0.9±4.8+1.9−1.0

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−8.2±4.1−3.7−4.5
BH to their backhand · serve +1−4.1±4.3−5.3+1.2
FH to their backhand · serve +1−4.0±4.6−2.2−1.8
BH to the middle · rally−2.4±3.0−3.8+1.4
BH to the middle · return−1.2±3.1−1.0−0.2

Matteo Arnaldi

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+5.4±4.9+0.2+5.2
BH to the middle · rally+3.2±2.9+0.7+2.4
FH to the middle · rally+2.6±3.2+1.0+1.5
BH to the middle · return+1.5±2.8+2.7−1.2
BH to their backhand · rally+1.0±2.9+0.1+0.9
FH to the middle · return+0.8±3.3−0.4+1.2

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return +1−4.0±4.6−5.2+1.2
BH to their backhand · return−2.9±4.2+0.1−3.0
FH to their forehand · serve +1−2.7±5.6−3.3+0.6
FH to their forehand · rally−1.5±4.0−1.5+0.1
FH to their backhand · rally−1.0±3.9−1.1+0.1

Against Matteo Arnaldi-like opponents

James Duckworth vMatchesServe pts wonReturn pts won
All charted opponents–62.4%25.4%

Similar by tactical fingerprint: Frances Tiafoe, Alexander Shevchenko, Laslo Djere, Alexandre Muller, Holger Rune, Roman Safiullin, Fabio Fognini, Otto Virtanen, Lucas Pouille. When two players have rarely met, their records against these lookalikes fill the gap.