RallyIQ

Game plan

Alexei Popyrin v Jesper De Jong

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

Forecast

Alexei Popyrin wins, best of 3 8%90%: 2%–24% · best of 5: 4%
Serve points won 58.9% / 70.2% Alexei / Jesper · tour 61.5%
Strengths only, no similarity priors 9%serve 59.3% / 70.2%

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. Both were charted enough in the last three seasons, so those carry the most weight. The result is then nudged by Alexei Popyrin's record against Jesper De Jong's tactical lookalikes and in their charted head-to-heads (lookalikes: −3.3 on serve, +0.6 on return vs expectation (423 points)). 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

CareerAlexeiJesper
Direction choice+0.04 ±0.06
better than 69%
−0.14 ±0.06
better than 21%
Shot selection+0.29 ±0.15
better than 79%
+0.30 ±0.12
better than 80%
Execution−0.73 ±0.59
better than 36%
−0.72 ±0.35
better than 36%
Points left on the table2.71 ±0.10
lower than 39%
2.79 ±0.11
lower than 32%

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.

Structural compatibility

Expected edge per 100 rally shots from style alone: Alexei Popyrin −1.05, Jesper De Jong +0.28. Each player's shot mix weighted by their own skill with each shot and by how much the other gives up against it. This is why some rankings gaps don't hold in a given matchup.

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.

Alexei Popyrin serving

Deuce court

1st serveNowAlexei winsv JesperMatchupOptimal
Wide45%73%72%71.9%±5.042% ▼
Body9%62%64%62.5%±9.30% ▼
T45%78%75%78.6%±4.458% ▲

Optimal v Jesper De Jong: +0.7±0.7 per 100 first serves (faults included) over the current mix. Serving T every time would read +4.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAlexei winsv JesperMatchupOptimal
Wide52%76%73%76.9%±4.665% ▲
Body5%63%58%57.2%±11.50% ▼
T43%74%64%66.0%±6.135% ▼

Optimal v Jesper De Jong: +0.5±0.6 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.7 per 100 first serves in before the returner adjusts.

Jesper De Jong serving

Deuce court

1st serveNowJesper winsv AlexeiMatchupOptimal
Wide44%73%73%73.0%±4.939% ▼
Body7%54%64%54.6%±10.70% ▼
T48%81%75%80.9%±4.361% ▲

Optimal v Alexei Popyrin: +0.9±0.6 per 100 first serves (faults included) over the current mix. Serving T every time would read +5.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJesper winsv AlexeiMatchupOptimal
Wide44%73%74%74.2%±4.957% ▲
Body9%56%69%61.8%±11.20% ▼
T47%71%73%72.7%±5.243% ▼

Optimal v Alexei Popyrin: +0.7±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.8 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.

Alexei Popyrin returning

1st serve to the forehand

ReturnNowTourOwnv JesperValue
FH through the middle44%+4.3+1.5+0.2+5.9±2.3
FH down the line21%+1.7+1.8−2.4+1.2±4.1
FH crosscourt19%+5.5+3.3−3.4+5.4±4.2
FH slice through the middle11%−4.2−1.3−1.0−6.5±2.3
FH slice down the line4%−4.3−0.6−2.0−6.8±3.1

Lean FH through the middle: +3.1±1.7 per 100 returns v the current mix (584 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JesperValue
BH through the middle41%+6.4+1.0−2.1+5.3±2.1
BH down the line20%+4.2−1.4+0.1+3.0±4.3
BH slice through the middle15%−4.2+0.8−2.3−5.8±2.4
BH crosscourt13%+8.8+1.6−1.4+9.0±3.3
BH slice crosscourt7%+0.5−3.0−5.2−7.7±3.1

Lean BH crosscourt: +7.1±3.1 per 100 returns v the current mix (633 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JesperValue
FH through the middle47%−3.5−0.9−0.8−5.2±2.5
FH crosscourt32%−0.2+5.2+0.2+5.1±4.3
FH down the line21%−1.8−4.1−2.4−8.2±4.4

Lean FH crosscourt: +7.6±3.3 per 100 returns v the current mix (139 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv JesperValue
BH through the middle37%−2.9−4.1−1.1−8.1±2.0
BH down the line21%−0.2−1.5−1.0−2.7±4.8
BH crosscourt18%+1.0−3.2−0.3−2.5±3.0
FH through the middle10%−2.9−2.4−0.8−6.1±2.2
FH inside-out9%+1.0−1.3−2.4−2.7±3.5
FH inside-in4%+0.6−3.0+0.2−2.3±4.1

Lean FH inside-in: +2.7±4.2 per 100 returns v the current mix (463 returns charted, inside the 90% margin)

Jesper De Jong returning

1st serve to the forehand

ReturnNowTourOwnv AlexeiValue
FH through the middle50%+4.3−0.1+1.7+5.8±2.3
FH down the line18%+1.7−1.9−4.4−4.6±4.3
FH crosscourt15%+5.5+0.1+1.7+7.3±4.2
FH slice through the middle12%−4.2−2.1+0.3−6.0±2.3
FH slice down the line5%−4.3−0.9+1.5−3.7±3.1

Lean FH crosscourt: +5.1±3.9 per 100 returns v the current mix (543 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AlexeiValue
BH through the middle37%+6.4−0.2+0.5+6.7±2.2
BH slice through the middle18%−4.2−1.3−2.0−7.5±2.3
BH crosscourt18%+8.8−2.8−0.9+5.1±3.2
BH down the line15%+4.2−1.5+1.0+3.8±4.5
BH slice crosscourt8%+0.5−0.8−3.4−3.7±3.0

Lean BH through the middle: +5.1±1.7 per 100 returns v the current mix (672 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AlexeiValue
FH through the middle61%−3.5−0.7+0.3−3.9±2.6
FH crosscourt21%−0.2−0.4+1.5+0.8±4.3
FH down the line18%−1.8+0.7−3.4−4.6±4.5

Lean FH crosscourt: +3.8±3.8 per 100 returns v the current mix (156 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AlexeiValue
BH through the middle43%−2.9±0.0−0.4−3.3±2.0
BH crosscourt26%+1.0−0.9−2.2−2.0±2.8
FH through the middle11%−2.9+0.9+0.3−1.7±2.3
FH inside-out8%+1.0+2.1−3.4−0.4±3.6
BH down the line7%−0.2−2.4+3.2+0.7±4.9
FH inside-in4%+0.6−1.2+1.5+0.9±4.1

Lean FH inside-in: +3.2±4.1 per 100 returns v the current mix (442 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 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.

Alexei Popyrin

Favour

ShotEdgeOwnTheirs
FH to their forehand · return +1+3.0±5.0+1.8+1.2
FH to their forehand · rally+2.1±3.2+0.9+1.3
FH to the middle · return +1+1.0±3.6+0.9±0.0
BH to the middle · rally+0.9±2.4−1.8+2.7
FH volley to their backhand · rally+0.6±8.1+2.7−2.1
FH to their forehand · return+0.6±5.4+2.5−1.9

Avoid

ShotEdgeOwnTheirs
BH to their forehand · return +1−8.5±6.6−4.3−4.2
BH volley to their forehand · rally−7.3±8.6+1.0−8.3
BH to their forehand · serve +1−6.0±6.5−2.7−3.3
BH to their forehand · rally−5.5±5.0−7.3+1.9
BH to their backhand · rally−5.0±2.7−4.4−0.6

Jesper De Jong

Favour

ShotEdgeOwnTheirs
BH to their backhand · return +1+8.5±4.0+3.4+5.1
FH to their backhand · serve +1+4.7±3.5+2.6+2.1
FH to their forehand · serve +1+4.5±4.4+0.3+4.2
FH to the middle · return +1+4.3±3.4+0.1+4.3
BH to their forehand · return +1+4.3±6.9−0.4+4.6
FH to the middle · rally+3.8±2.6+2.4+1.4

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−6.1±4.3−1.2−4.9
BH slice to their backhand · return−5.6±3.9−2.5−3.0
BH slice to the middle · return−3.8±3.2−0.7−3.1
BH to their backhand · return−2.3±3.2−1.7−0.6
FH slice to the middle · return−2.2±3.0−2.5+0.4

Against Jesper De Jong-like opponents

Alexei Popyrin vMatchesServe pts wonReturn pts won
All charted opponents–63.9%33.5%
Players most similar to Jesper De Jong3 60.2%35.1%

Similar by tactical fingerprint: Gael Monfils, Botic Van De Zandschulp, Alejandro Tabilo, Nuno Borges, Miomir Kecmanovic, Arthur Cazaux, Mackenzie Mcdonald, Matteo Arnaldi, Otto Virtanen, Andreas Seppi. When two players have rarely met, their records against these lookalikes fill the gap.