RallyIQ

Game plan

Jesper De Jong v Raphael Collignon

Every number combines what Jesper De Jong does well with what Raphael Collignon allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Jesper De Jong wins, best of 3 53%90%: 20%–84% · best of 5: 54%
Serve points won 64.9% / 64.2% Jesper / Raphael · tour 65.7%
Strengths only, no similarity priors 53%serve 64.9% / 64.2%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Jesper De Jong's record against Raphael Collignon'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

CareerJesperRaphael
Direction choice−0.14 ±0.06
better than 21%
±0.00 ±0.08
better than 56%
Shot selection+0.30 ±0.12
better than 80%
+0.31 ±0.27
better than 81%
Execution−0.72 ±0.35
better than 36%
−0.34 ±0.59
better than 52%
Points left on the table2.79 ±0.11
lower than 32%
2.32 ±0.21
lower than 82%

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.

Jesper De Jong serving

Deuce court

1st serveNowJesper winsv RaphaelMatchupOptimal
Wide44%73%75%75.0%±7.439% ▼
Body7%54%67%58.5%±12.60% ▼
T48%81%76%82.0%±5.961% ▲

Optimal v Raphael Collignon: +0.8±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJesper winsv RaphaelMatchupOptimal
Wide44%73%70%70.0%±8.857% ▲
Body9%56%62%55.0%±13.70% ▼
T47%71%67%65.8%±7.843% ▼

Optimal v Raphael Collignon: +0.4±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.3 per 100 first serves in before the returner adjusts.

Raphael Collignon serving

Deuce court

1st serveNowRaphael winsv JesperMatchupOptimal
Wide42%72%72%71.2%±7.455% ▲
Body12%67%64%67.3%±11.10% ▼
T46%72%75%72.8%±7.445% ▼

Optimal v Jesper De Jong: +0.6±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 serveNowRaphael winsv JesperMatchupOptimal
Wide38%74%73%74.4%±8.251% ▲
Body10%59%58%54.0%±13.60% ▼
T52%72%64%63.8%±8.249% ▼

Optimal v Jesper De Jong: +0.7±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +7.5 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.

Jesper De Jong returning

1st serve to the forehand

ReturnNowTourOwnv RaphaelValue
FH through the middle50%+4.3−0.1+3.1+7.3±2.6
FH down the line18%+1.7−1.9+6.0+5.7±4.4
FH crosscourt15%+5.5+0.1−2.9+2.6±4.2
FH slice through the middle12%−4.2−2.1+0.7−5.6±2.3
FH slice down the line5%−4.3−0.9−1.2−6.4±2.8

Lean FH through the middle: +3.3±1.7 per 100 returns v the current mix (543 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RaphaelValue
BH through the middle37%+6.4−0.2+2.3+8.5±2.5
BH slice through the middle18%−4.2−1.3−0.8−6.3±2.0
BH crosscourt18%+8.8−2.8+1.6+7.6±3.4
BH down the line15%+4.2−1.5+0.8+3.5±4.3
BH slice crosscourt8%+0.5−0.8+1.1+0.8±2.7

Lean BH through the middle: +5.1±1.9 per 100 returns v the current mix (672 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RaphaelValue
FH through the middle61%−3.5−0.7+0.7−3.5±2.8
FH crosscourt21%−0.2−0.4+1.6+0.9±3.9
FH down the line18%−1.8+0.7−2.8−4.0±4.3

Lean FH crosscourt: +3.6±3.6 per 100 returns v the current mix (156 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv RaphaelValue
BH through the middle43%−2.9±0.0+0.7−2.2±2.4
BH crosscourt26%+1.0−0.9−2.8−2.7±3.0
FH through the middle11%−2.9+0.9+0.7−1.3±2.4
FH inside-out8%+1.0+2.1−2.8+0.2±3.4
BH down the line7%−0.2−2.4+1.2−1.4±4.2
FH inside-in4%+0.6−1.2+1.6+1.0±3.7

Lean FH inside-in: +3.0±3.8 per 100 returns v the current mix (442 returns charted, inside the 90% margin)

Raphael Collignon returning

1st serve to the forehand

ReturnNowTourOwnv JesperValue
FH through the middle61%+4.3+1.9+0.2+6.4±2.6
FH crosscourt25%+5.5+0.9−3.4+3.0±4.3
FH down the line14%+1.7−0.3−2.4−0.9±4.1

Lean FH through the middle: +1.9±1.6 per 100 returns v the current mix (150 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JesperValue
BH through the middle43%+6.4+1.4−2.1+5.7±2.5
BH crosscourt30%+8.8+3.3−1.4+10.7±3.3
BH slice crosscourt9%+0.5−1.2−5.2−5.8±2.7
BH slice through the middle9%−4.2+0.1−2.3−6.5±2.2
BH slice down the line5%−8.4+0.7−3.6−11.2±2.8

Lean BH crosscourt: +6.5±2.6 per 100 returns v the current mix (122 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv JesperValue
BH through the middle49%−2.9+1.4−1.1−2.6±2.2
BH crosscourt35%+1.0+0.2−0.3+0.9±2.9
BH down the line8%−0.2+0.6−1.0−0.6±3.9
FH through the middle8%−2.9+0.3−0.8−3.4±1.6

Lean BH crosscourt: +2.1±2.2 per 100 returns v the current mix (65 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.

Jesper De Jong

Favour

ShotEdgeOwnTheirs
FH to the middle · rally+4.3±2.5+1.6+2.7
FH to their backhand · rally+4.1±3.6+2.3+1.8
BH to the middle · rally+3.2±2.2+0.9+2.4
BH to the middle · return +1+3.1±2.8+1.0+2.1
BH to the middle · return+2.0±2.9−0.2+2.2
FH to the middle · return+1.6±3.0−0.6+2.2

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−1.2±4.0−2.9+1.7
FH to the middle · serve +1−0.5±2.4±0.0−0.5
BH to their backhand · rally−0.3±2.1+0.5−0.8
FH to their backhand · serve +1+0.4±4.2−4.3+4.8
BH to their backhand · return +1+0.8±3.2+3.0−2.2

Raphael Collignon

Favour

ShotEdgeOwnTheirs
FH to the middle · rally+4.7±2.6+2.8+1.8
BH to the middle · rally+4.5±1.9+2.5+2.0
FH to their backhand · serve +1+3.6±4.3+2.6+1.0
BH to their backhand · return+1.8±2.9+2.6−0.8
BH to the middle · return +1+1.3±2.4+0.1+1.1
FH to their forehand · return +1+0.8±4.9+0.1+0.7

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return−5.4±5.2−0.9−4.5
BH to their backhand · serve +1−3.0±3.9+0.7−3.8
BH to their backhand · rally−1.5±3.0+1.0−2.5
FH to the middle · return−1.0±3.1+0.9−1.9
BH to the middle · return−0.7±2.8+1.9−2.6

Against Raphael Collignon-like opponents

Jesper De Jong vMatchesServe pts wonReturn pts won
All charted opponents–63.5%37.3%