RallyIQ

Game plan

Jelle Sels v Daniel Evans

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

Forecast

Jelle Sels wins, best of 3 10%90%: 2%–36% · best of 5: 6%
Serve points won 54.9% / 64.8% Jelle / Daniel · tour 61.3%
Strengths only, no similarity priors 10%serve 54.9% / 64.8%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerJelleDaniel
Direction choice−0.18 ±0.19
better than 18%
−0.03 ±0.17
better than 48%
Shot selection−0.18 ±0.39
better than 31%
−1.18 ±0.22
better than 1%
Execution−2.18 ±0.42
better than 2%
+0.37 ±0.40
better than 81%
Points left on the table2.84 ±0.25
lower than 28%
3.06 ±0.27
lower than 17%

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.

Jelle Sels serving

Deuce court

1st serveNowJelle winsv DanielMatchupOptimal
Wide40%63%71%61.4%±8.953% ▲
Body12%65%63%65.4%±12.60% ▼
T49%64%73%62.2%±8.847% ▼

Optimal v Daniel Evans: +0.4±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +3.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJelle winsv DanielMatchupOptimal
Wide64%70%70%67.1%±8.177% ▲
Body11%60%66%63.2%±13.60% ▼
T25%71%65%64.1%±11.323% ▼

Optimal v Daniel Evans: +0.2±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.2 per 100 first serves in before the returner adjusts.

Daniel Evans serving

Deuce court

1st serveNowDaniel winsv JelleMatchupOptimal
Wide31%74%76%77.1%±8.344% ▲
Body12%62%68%66.6%±12.20% ▼
T57%73%72%69.9%±7.756%

Optimal v Jelle Sels: +0.7±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowDaniel winsv JelleMatchupOptimal
Wide56%73%73%72.8%±7.569% ▲
Body9%57%63%56.5%±14.60% ▼
T34%67%72%67.1%±10.131% ▼

Optimal v Jelle Sels: +0.3±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.5 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.

Jelle Sels returning

1st serve to the forehand

ReturnNowTourOwnv DanielValue
FH through the middle32%+4.3−1.2+0.9+4.0±2.5
FH slice through the middle32%−4.2−0.5−0.3−5.0±2.2
FH down the line26%+1.7−0.5+5.9+7.1±4.1
FH crosscourt11%+5.5−0.6±0.0+4.9±3.6

Lean FH down the line: +5.0±3.2 per 100 returns v the current mix (57 returns charted)

1st serve to the backhand

ReturnNowTourOwnv DanielValue
BH through the middle28%+6.4−1.0+1.5+6.9±2.5
BH slice through the middle28%−4.2−0.9+0.1−5.0±2.4
BH slice crosscourt17%+0.5+0.4−2.1−1.1±3.0
BH crosscourt10%+8.8+1.5+1.0+11.3±3.0
BH down the line9%+4.2−1.7+3.0+5.5±4.2

Lean BH crosscourt: +10.0±2.9 per 100 returns v the current mix (144 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv DanielValue
FH through the middle35%−2.9±0.0−0.2−3.1±2.2
FH inside-out29%+1.0−3.1+0.4−1.7±3.4
BH through the middle22%−2.9−1.1+0.5−3.4±2.0
BH crosscourt15%+1.0−1.8+1.0+0.3±2.5

Lean FH inside-out: +0.5±2.6 per 100 returns v the current mix (55 returns charted, inside the 90% margin)

Daniel Evans returning

1st serve to the forehand

ReturnNowTourOwnv JelleValue
FH through the middle41%+4.3+1.7+1.6+7.6±2.8
FH down the line24%+1.7+1.8−3.4+0.1±3.8
FH slice through the middle14%−4.2+0.2+1.2−2.8±2.1
FH crosscourt13%+5.5−1.0+2.3+6.9±4.1
FH slice down the line6%−4.3+1.8±0.0−2.5±2.2

Lean FH through the middle: +4.2±2.0 per 100 returns v the current mix (455 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JelleValue
BH slice through the middle43%−4.2+0.5−1.2−4.9±2.1
BH slice crosscourt27%+0.5+1.6−0.7+1.4±2.5
BH through the middle12%+6.4+0.9+0.1+7.4±2.9
BH slice down the line7%−8.4+0.3±0.0−8.1±2.5
BH crosscourt6%+8.8−0.6−0.7+7.5±3.6

Lean BH crosscourt: +8.5±3.6 per 100 returns v the current mix (580 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JelleValue
FH through the middle51%−3.5−0.4+0.6−3.2±2.9
FH down the line32%−1.8+0.9+1.5+0.6±4.6
FH crosscourt17%−0.2+3.4−0.4+2.7±3.6

Lean FH crosscourt: +3.8±3.7 per 100 returns v the current mix (103 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv JelleValue
BH slice crosscourt35%−4.0−2.1±0.0−6.2±1.6
BH slice through the middle25%−11.3−1.2±0.0−12.5±1.6
BH through the middle10%−2.9+0.5+0.8−1.5±2.6
FH through the middle9%−2.9−0.5+0.6−2.8±2.4
FH inside-out8%+1.0+1.1+1.5+3.5±3.7

Lean FH inside-out: +9.2±3.5 per 100 returns v the current mix (442 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 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.

Jelle Sels

Favour

ShotEdgeOwnTheirs
BH to the middle · rally+2.1±2.8+1.1+1.0
BH to the middle · return+1.5±3.4+1.1+0.3
FH to the middle · rally+0.9±2.9+0.4+0.5
FH to the middle · serve +1+0.7±3.8−0.7+1.4
FH to the middle · return−1.9±3.6−2.3+0.4
FH to their forehand · rally−2.1±4.0−1.5−0.6

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−8.9±4.3−6.1−2.8
FH to their forehand · serve +1−6.7±5.3−3.3−3.4
FH to their backhand · return +1−5.7±5.3−2.8−2.9
BH slice to their backhand · rally−5.4±3.6−2.3−3.1
FH to their backhand · rally−3.0±3.1−2.7−0.3

Daniel Evans

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+3.0±5.7+0.8+2.3
FH to their backhand · serve +1+2.5±4.6+2.9−0.5
BH to the middle · return+2.3±3.6+2.1+0.2
FH to the middle · return+1.8±3.6+0.1+1.7
FH to their backhand · rally+1.1±3.4+1.8−0.7
BH to their backhand · return+0.5±4.8+2.2−1.7

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−5.9±6.1+2.5−8.4
BH to the middle · rally−1.0±3.1−0.7−0.3
FH to their forehand · rally−0.7±4.0+1.8−2.5
FH to the middle · rally−0.1±3.0+1.5−1.6
BH to their backhand · rally+0.4±3.7+4.5−4.1

Against Daniel Evans-like opponents

Jelle Sels vMatchesServe pts wonReturn pts won
All charted opponents–60.5%35.2%

Similar by tactical fingerprint: Lorenzo Musetti, Grigor Dimitrov, Christopher Oconnell, Corentin Moutet, Steve Johnson, Nicolas Mahut, Guillermo Garcia Lopez, Mikhail Youzhny, Tommy Haas, Fernando Gonzalez. When two players have rarely met, their records against these lookalikes fill the gap.