RallyIQ

Game plan

Carlos Alcaraz v Jonas Svensson

Every number combines what Carlos Alcaraz does well with what Jonas Svensson allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Carlos Alcaraz wins, best of 3 91%90%: 75%–98% · best of 5: 95%
Serve points won 67.7% / 57.2% Carlos / Jonas · tour 65.7%
Strengths only, no similarity priors 92%serve 68.0% / 57.0%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Carlos Alcaraz's record against Jonas Svensson's tactical lookalikes and in their charted head-to-heads (lookalikes: −2.0 on serve, −1.1 on return vs expectation (517 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

CareerCarlosJonas
Direction choice+0.08 ±0.03
better than 77%
−0.30 ±0.19
better than 6%
Shot selection+0.20 ±0.07
better than 73%
−0.33 ±0.25
better than 20%
Execution+0.54 ±0.21
better than 85%
−0.50 ±0.41
better than 45%
Points left on the table2.43 ±0.05
lower than 70%
3.29 ±0.46
lower than 11%

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.

Carlos Alcaraz serving

Deuce court

1st serveNowCarlos winsv JonasMatchupOptimal
Wide46%73%74%74.0%±6.046%
Body18%67%67%71.3%±8.34% ▼
T37%77%76%77.8%±5.750% ▲

Optimal v Jonas Svensson: +0.3±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowCarlos winsv JonasMatchupOptimal
Wide49%72%71%69.5%±6.650%
Body16%66%64%66.3%±9.03% ▼
T34%72%73%73.2%±6.847% ▲

Optimal v Jonas Svensson: +0.5±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.9 per 100 first serves in before the returner adjusts.

Jonas Svensson serving

Deuce court

1st serveNowJonas winsv CarlosMatchupOptimal
Wide56%72%66%65.4%±5.769% ▲
Body23%63%61%61.1%±8.324%
T20%69%68%60.7%±9.77% ▼

Optimal v Carlos Alcaraz: +0.4±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJonas winsv CarlosMatchupOptimal
Wide51%62%67%56.1%±6.664% ▲
Body21%64%58%59.5%±9.320%
T29%56%65%48.7%±7.816% ▼

Optimal v Carlos Alcaraz: +0.5±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +4.8 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.

Carlos Alcaraz returning

1st serve to the forehand

ReturnNowTourOwnv JonasValue
FH through the middle49%+4.3+1.2−0.5+5.0±2.2
FH crosscourt24%+5.5+1.3+3.8+10.6±3.4
FH down the line14%+1.7+1.2−0.2+2.7±3.6
FH slice through the middle8%−4.2+0.2±0.0−4.0±1.1
FH slice down the line2%−4.3+0.8±0.0−3.5±2.1

Lean FH crosscourt: +5.8±2.8 per 100 returns v the current mix (4205 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JonasValue
BH through the middle40%+6.4+1.0−0.8+6.7±2.1
BH crosscourt34%+8.8+1.5−1.1+9.2±2.7
BH slice through the middle10%−4.2−2.3+1.8−4.7±2.0
BH down the line7%+4.2−0.5−3.2+0.6±3.9
BH slice crosscourt6%+0.5−1.3+5.1+4.4±2.6

Lean BH crosscourt: +3.9±2.0 per 100 returns v the current mix (4723 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JonasValue
FH through the middle42%−3.5−1.0−1.2−5.7±2.4
FH crosscourt36%−0.2−0.2+2.6+2.1±3.6
FH down the line17%−1.8−1.0−1.4−4.2±4.3
FH slice through the middle2%−12.7−0.8±0.0−13.4±1.6
FH slice down the line1%−9.4−1.6±0.0−11.0±1.7

Lean FH crosscourt: +4.8±2.6 per 100 returns v the current mix (1132 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv JonasValue
BH crosscourt45%+1.0+0.1+0.4+1.5±2.4
BH through the middle27%−2.9−2.1−0.5−5.4±1.9
BH down the line9%−0.2+1.4−0.2+1.0±3.5
FH through the middle7%−2.9±0.0−1.2−4.1±2.2
FH inside-in5%+0.6−1.5+2.6+1.7±4.1

Lean FH inside-in: +2.8±4.1 per 100 returns v the current mix (2787 returns charted, inside the 90% margin)

Jonas Svensson returning

1st serve to the forehand

ReturnNowTourOwnv CarlosValue
FH through the middle49%+4.3−2.1+0.5+2.6±2.2
FH down the line32%+1.7+0.1+1.0+2.8±3.5
FH crosscourt16%+5.5−1.0+0.8+5.3±3.3
FH slice through the middle3%−4.2−0.2−1.5−5.9±1.5

Lean FH crosscourt: +2.4±3.2 per 100 returns v the current mix (167 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv CarlosValue
BH through the middle48%+6.4−2.2+0.4+4.6±2.0
BH crosscourt26%+8.8−0.6+0.7+8.8±2.7
BH down the line18%+4.2+1.6+0.1+5.8±3.7
BH slice crosscourt5%+0.5+0.5−0.4+0.6±2.3
BH slice through the middle4%−4.2±0.0−2.8−7.0±1.6

Lean BH crosscourt: +3.5±2.3 per 100 returns v the current mix (188 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv CarlosValue
FH through the middle48%−3.5+1.7+0.1−1.6±2.2
FH crosscourt26%−0.2+2.4−1.0+1.2±3.2
FH down the line26%−1.8+0.6−2.0−3.1±3.4

Lean FH through the middle: −0.3±1.7 per 100 returns v the current mix (50 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv CarlosValue
BH through the middle40%−2.9−0.3−1.2−4.3±1.9
BH crosscourt29%+1.0+3.6−0.2+4.4±2.5
BH down the line20%−0.2+1.5−1.6−0.3±4.1
BH slice crosscourt6%−4.0+1.0−2.1−5.1±2.3
FH inside-in3%+0.6−0.2−1.0−0.6±2.7

Lean BH crosscourt: +5.3±2.1 per 100 returns v the current mix (181 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 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.

Carlos Alcaraz

Favour

ShotEdgeOwnTheirs
BH slice to their backhand · return+4.9±3.3+1.1+3.8
FH to their forehand · return+4.5±4.4+0.2+4.4
BH slice to their backhand · return +1+3.4±3.0+1.1+2.3
FH to their backhand · serve +1+3.2±3.5+1.0+2.2
BH slice to their backhand · rally+2.9±2.3+1.4+1.5
FH to their backhand · rally+2.8±2.9+3.3−0.5

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return +1−3.6±4.3−1.1−2.5
FH to their backhand · return−2.1±3.9−0.9−1.1
FH to their forehand · rally−1.8±2.9+1.3−3.2
BH to their forehand · rally−1.5±4.3−0.8−0.6
FH to their forehand · return +1−0.9±4.3+2.5−3.4

Jonas Svensson

Favour

ShotEdgeOwnTheirs
BH to the middle · serve +1+1.1±2.7+0.2+1.0
BH slice to their backhand · rally+0.7±2.5+0.3+0.4
BH to their backhand · rally+0.7±2.3−0.7+1.4
FH to the middle · serve +1+0.7±2.7+1.2−0.6
BH to their backhand · serve +1+0.3±3.0+0.1+0.2
FH to their forehand · return+0.3±4.7−0.1+0.4

Avoid

ShotEdgeOwnTheirs
BH to the middle · return−5.2±2.0−2.4−2.8
BH to the middle · rally−4.3±2.1−3.3−1.0
FH to their backhand · return +1−4.2±4.4−3.9−0.4
BH slice to the middle · rally−4.2±2.6+0.7−4.9
FH to their forehand · rally−4.0±3.1−2.0−2.0

Against Jonas Svensson-like opponents

Carlos Alcaraz vMatchesServe pts wonReturn pts won
All charted opponents–66.5%41.2%
Players most similar to Jonas Svensson3 64.4%41.8%

Similar by tactical fingerprint: Valentin Vacherot, Jaume Munar, Alex Michelsen, Bernabe Zapata Miralles, Carlos Berlocq, Guillermo Coria, Jiri Novak, Magnus Norman, Andrei Medvedev. When two players have rarely met, their records against these lookalikes fill the gap.