RallyIQ

Game plan

Karue Sell v Arnaud Clement

Every number combines what Karue Sell does well with what Arnaud Clement allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Karue Sell wins, best of 3 50%90%: 17%–84% · best of 5: 50%
Serve points won 59.7% / 59.6% Karue / Arnaud · tour 63.8%
Strengths only, no similarity priors 50%serve 59.7% / 59.6%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerKarueArnaud
Direction choice+0.13 ±0.07
better than 87%
+0.22 ±0.12
better than 95%
Shot selection+0.64 ±0.22
better than 97%
+0.48 ±0.40
better than 91%
Execution−1.33 ±0.41
better than 15%
−0.52 ±0.57
better than 44%
Points left on the table2.20 ±0.12
lower than 93%
2.21 ±0.13
lower than 91%

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.

Karue Sell serving

Deuce court

1st serveNowKarue winsv ArnaudMatchupOptimal
Wide58%69%68%62.9%±9.155% ▼
Body10%62%60%58.7%±16.40% ▼
T32%79%78%82.0%±8.245% ▲

Optimal v Arnaud Clement: +0.9±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +13.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowKarue winsv ArnaudMatchupOptimal
Wide43%74%75%76.0%±8.844%
Body16%63%59%59.2%±15.03% ▼
T40%68%76%73.0%±9.753% ▲

Optimal v Arnaud Clement: +0.4±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.0 per 100 first serves in before the returner adjusts.

Arnaud Clement serving

Deuce court

1st serveNowArnaud winsv KarueMatchupOptimal
Wide50%70%72%69.1%±8.864% ▲
Body6%65%56%58.2%±14.20% ▼
T43%72%77%73.6%±10.236% ▼

Optimal v Karue Sell: +0.5±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 serveNowArnaud winsv KarueMatchupOptimal
Wide51%65%65%56.2%±10.538% ▼
Body5%54%65%56.7%±16.15%
T44%66%62%55.1%±10.657% ▲

Optimal v Karue Sell: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +1.0 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.

Karue Sell returning

1st serve to the forehand

ReturnNowTourOwnv ArnaudValue
FH through the middle53%+4.3−0.5+1.3+5.1±2.9
FH down the line26%+1.7−0.8−3.3−2.4±4.4
FH crosscourt22%+5.5+0.9−2.3+4.1±4.3

Lean FH through the middle: +2.1±2.0 per 100 returns v the current mix (120 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ArnaudValue
BH through the middle41%+6.4−2.0+0.3+4.7±2.8
BH crosscourt31%+8.8−0.1−0.3+8.4±3.4
BH down the line14%+4.2−0.2+1.8+5.8±4.1
BH slice through the middle8%−4.2−0.4−1.1−5.7±2.1
BH slice crosscourt6%+0.5−1.7+2.5+1.4±2.5

Lean BH crosscourt: +3.5±2.7 per 100 returns v the current mix (86 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv ArnaudValue
BH through the middle47%−2.9−1.0+1.3−2.6±2.5
BH crosscourt35%+1.0−0.8+0.9+1.1±3.1
BH down the line18%−0.2−2.1−1.3−3.6±4.5

Lean BH crosscourt: +2.6±2.5 per 100 returns v the current mix (68 returns charted)

Arnaud Clement returning

1st serve to the forehand

ReturnNowTourOwnv KarueValue
FH through the middle38%+4.3+2.3−0.3+6.3±3.0
FH down the line28%+1.7+1.6+0.2+3.4±4.4
FH crosscourt17%+5.5−3.1−0.6+1.8±4.3
FH slice through the middle11%−4.2+0.8−1.5−4.8±2.2
FH slice down the line4%−4.3+2.6±0.0−1.6±1.7

Lean FH through the middle: +3.4±2.4 per 100 returns v the current mix (256 returns charted)

1st serve to the backhand

ReturnNowTourOwnv KarueValue
BH crosscourt46%+8.8+0.4−0.6+8.7±3.4
BH through the middle28%+6.4−1.2+0.8+6.0±2.9
BH down the line11%+4.2−0.4−1.6+2.2±4.3
BH slice through the middle8%−4.2−2.0−0.5−6.7±1.9
BH slice crosscourt4%+0.5−0.7±0.0−0.1±1.6

Lean BH crosscourt: +3.6±2.1 per 100 returns v the current mix (236 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv KarueValue
FH down the line37%−1.8−0.9−1.1−3.8±4.5
FH through the middle35%−3.5+1.7−0.9−2.7±2.9
FH crosscourt28%−0.2−1.5−1.9−3.6±4.0

Lean FH through the middle: +0.7±2.7 per 100 returns v the current mix (100 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv KarueValue
BH crosscourt44%+1.0+0.9−0.2+1.6±3.3
BH down the line29%−0.2−0.6+0.2−0.6±4.4
BH through the middle27%−2.9−0.3−0.4−3.6±2.6

Lean BH crosscourt: +2.0±2.3 per 100 returns v the current mix (177 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 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.

Karue Sell

Favour

ShotEdgeOwnTheirs
FH to the middle · return+3.1±3.6+1.3+1.7
FH to their backhand · rally+2.6±4.1+1.3+1.3
FH to their forehand · serve +1+2.4±5.9−1.0+3.5
BH to their backhand · return+1.6±4.6−0.3+1.9
FH to the middle · rally+1.6±3.2+2.2−0.6
BH to their backhand · rally+1.2±3.2−0.7+2.0

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return−3.0±6.6−0.1−3.0
FH to their forehand · return +1−2.5±6.0+2.8−5.2
BH to their forehand · rally−1.4±5.8±0.0−1.4
BH to the middle · return−1.3±3.5−1.9+0.5
FH to their backhand · serve +1−1.1±5.2−3.2+2.1

Arnaud Clement

Favour

ShotEdgeOwnTheirs
BH to their backhand · serve +1+3.5±4.5+0.6+2.9
FH to their backhand · rally+2.0±4.1+0.2+1.8
FH to the middle · return+1.6±3.9+3.1−1.4
FH to their backhand · serve +1+1.1±4.9+1.4−0.4
BH to their backhand · return+0.8±4.4+1.3−0.5
BH to the middle · rally+0.3±3.0−0.2+0.5

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−4.1±5.7−1.9−2.3
FH to their forehand · rally−3.5±4.0−3.6+0.1
FH to their forehand · return +1−2.8±6.3−0.7−2.1
BH to their forehand · rally−2.7±5.7−0.7−2.0
BH to the middle · return−1.4±3.5−1.6+0.2

Against Arnaud Clement-like opponents

Karue Sell vMatchesServe pts wonReturn pts won
All charted opponents–63.1%42.3%

Similar by tactical fingerprint: David Goffin, Andy Murray, Tomas Berdych, Lleyton Hewitt, David Nalbandian, Thomas Johansson, Yevgeny Kafelnikov, Magnus Norman, Michael Chang. When two players have rarely met, their records against these lookalikes fill the gap.