RallyIQ

Game plan

Jelle Sels v Nicolas Massu

Every number combines what Jelle Sels does well with what Nicolas Massu 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 62%90%: 28%–88% · best of 5: 65%
Serve points won 64.0% / 61.6% Jelle / Nicolas · tour 63.8%
Strengths only, no similarity priors 62%serve 64.0% / 61.6%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerJelleNicolas
Direction choice−0.18 ±0.19
better than 18%
−0.22 ±0.10
better than 12%
Shot selection−0.18 ±0.39
better than 31%
+0.29 ±0.17
better than 78%
Execution−2.18 ±0.42
better than 2%
−1.15 ±0.48
better than 20%
Points left on the table2.84 ±0.25
lower than 28%
2.93 ±0.09
lower than 23%

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 NicolasMatchupOptimal
Wide40%63%78%69.8%±9.653% ▲
Body12%65%57%59.4%±14.80% ▼
T49%64%77%66.4%±9.847% ▼

Optimal v Nicolas Massu: +0.8±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJelle winsv NicolasMatchupOptimal
Wide64%70%71%67.5%±9.062% ▼
Body11%60%62%59.1%±16.50% ▼
T25%71%76%74.7%±10.238% ▲

Optimal v Nicolas Massu: +1.1±1.0 per 100 first serves (faults included) over the current mix. Serving T every time would read +6.4 per 100 first serves in before the returner adjusts.

Nicolas Massu serving

Deuce court

1st serveNowNicolas winsv JelleMatchupOptimal
Wide33%63%76%67.2%±11.046% ▲
Body10%62%68%66.4%±13.99% ▼
T56%73%72%70.0%±8.845% ▼

Optimal v Jelle Sels: +0.2±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowNicolas winsv JelleMatchupOptimal
Wide62%64%73%64.5%±9.160% ▼
Body10%56%63%55.6%±15.90% ▼
T27%69%72%68.2%±11.440% ▲

Optimal v Jelle Sels: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.6 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 NicolasValue
FH through the middle32%+4.3−1.2+0.5+3.6±2.8
FH slice through the middle32%−4.2−0.5−1.2−5.9±2.0
FH down the line26%+1.7−0.5+0.9+2.0±4.2
FH crosscourt11%+5.5−0.6+4.0+8.8±3.7

Lean FH through the middle: +2.9±2.3 per 100 returns v the current mix (57 returns charted)

1st serve to the backhand

ReturnNowTourOwnv NicolasValue
BH through the middle28%+6.4−1.0+1.6+7.0±2.7
BH slice through the middle28%−4.2−0.9−1.4−6.6±2.5
BH slice crosscourt17%+0.5+0.4+2.7+3.7±2.9
BH crosscourt10%+8.8+1.5−0.6+9.7±3.2
BH down the line9%+4.2−1.7−0.3+2.1±4.2

Lean BH crosscourt: +8.5±3.1 per 100 returns v the current mix (144 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv NicolasValue
FH through the middle35%−2.9±0.0+0.3−2.6±2.3
FH inside-out29%+1.0−3.1+1.4−0.7±3.5
BH through the middle22%−2.9−1.1+0.5−3.5±2.2
BH crosscourt15%+1.0−1.8+0.9+0.1±2.7

Lean FH inside-out: +1.2±2.7 per 100 returns v the current mix (55 returns charted, inside the 90% margin)

Nicolas Massu returning

1st serve to the forehand

ReturnNowTourOwnv JelleValue
FH through the middle47%+4.3+1.8+1.6+7.6±3.1
FH down the line34%+1.7−0.9−3.4−2.5±3.9
FH crosscourt19%+5.5−3.6+2.3+4.2±4.1

Lean FH through the middle: +4.1±2.2 per 100 returns v the current mix (179 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JelleValue
BH through the middle34%+6.4−1.2+0.1+5.4±2.8
BH crosscourt21%+8.8−3.7−0.7+4.4±3.6
BH down the line17%+4.2−4.7−2.3−2.8±4.5
BH slice through the middle14%−4.2−2.1−1.2−7.5±2.4
BH slice crosscourt6%+0.5+0.4−0.7+0.2±2.6

Lean BH through the middle: +4.5±2.2 per 100 returns v the current mix (265 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JelleValue
FH down the line43%−1.8−5.4+1.5−5.7±4.7
FH through the middle36%−3.5−0.3+0.6−3.1±2.9
FH crosscourt21%−0.2+0.5−0.4−0.1±3.7

Lean FH crosscourt: +3.5±3.7 per 100 returns v the current mix (92 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv JelleValue
BH through the middle34%−2.9−0.4+0.8−2.4±2.6
FH through the middle19%−2.9+0.1+0.6−2.2±2.4
BH crosscourt18%+1.0−0.4−0.9−0.2±3.2
FH inside-out17%+1.0−1.1+1.5+1.4±3.7
BH down the line10%−0.2−0.6−1.3−2.2±4.1

Lean FH inside-out: +2.6±3.3 per 100 returns v the current mix (212 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.

Jelle Sels

Favour

ShotEdgeOwnTheirs
FH to the middle · return±0.0±4.1−1.2+1.2
BH to the middle · rally−0.9±3.2+2.3−3.2
BH slice to their backhand · rally−0.9±3.8−2.2+1.3
FH to their backhand · rally−1.0±4.0−1.6+0.7
FH to their backhand · serve +1−1.6±5.3+0.5−2.1
BH to the middle · return−2.6±3.6−4.5+1.9

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−6.5±5.6−4.5−1.9
FH to their backhand · return +1−5.7±6.1−1.1−4.7
FH to the middle · rally−3.2±3.4−1.3−1.9
BH to their backhand · rally−2.7±3.7−2.9+0.2
FH to their forehand · rally−2.6±4.6−1.1−1.5

Nicolas Massu

Favour

ShotEdgeOwnTheirs
FH to the middle · return+1.6±4.0+0.3+1.3
BH to the middle · rally+1.5±3.0+1.0+0.6
FH to their backhand · serve +1+1.2±4.9−1.7+3.0
BH to the middle · return+0.3±3.6−1.6+1.9
FH to the middle · rally+0.3±3.3−0.2+0.4
BH to their backhand · rally−1.6±3.8−0.4−1.2

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−14.1±6.5−6.1−8.0
FH to their forehand · rally−8.9±4.6−1.5−7.4
BH to their backhand · return−5.5±4.9−6.0+0.4
FH to their forehand · serve +1−3.2±5.7−0.8−2.4
FH to their backhand · rally−2.0±4.2−2.6+0.6

Against Nicolas Massu-like opponents

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

Similar by tactical fingerprint: Flavio Cobolli, Cameron Norrie, Marton Fucsovics, Juncheng Shang, Daniel Elahi Galan, Albert Ramos, Cristian Garin, Pablo Cuevas, Philipp Kohlschreiber. When two players have rarely met, their records against these lookalikes fill the gap.