RallyIQ

Game plan

Jerzy Janowicz v Carlos Alcaraz

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

Forecast

Jerzy Janowicz wins, best of 3 11%90%: 3%–30% · best of 5: 6%
Serve points won 59.0% / 69.0% Jerzy / Carlos · tour 63.4%
Strengths only, no similarity priors 11%serve 59.0% / 69.0%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerJerzyCarlos
Direction choice−0.09 ±0.21
better than 33%
+0.08 ±0.03
better than 77%
Shot selection+0.27 ±0.07
better than 77%
+0.20 ±0.07
better than 73%
Execution−1.30 ±0.85
better than 15%
+0.54 ±0.21
better than 85%

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.

Jerzy Janowicz serving

Deuce court

1st serveNowJerzy winsv CarlosMatchupOptimal
Wide43%68%66%61.7%±7.230% ▼
Body20%70%61%68.1%±9.020%
T37%85%68%80.4%±7.450% ▲

Optimal v Carlos Alcaraz: +0.5±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +10.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJerzy winsv CarlosMatchupOptimal
Wide37%74%67%68.5%±8.250% ▲
Body22%63%58%58.4%±9.79% ▼
T41%72%65%65.1%±8.341%

Optimal v Carlos Alcaraz: +0.3±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.6 per 100 first serves in before the returner adjusts.

Carlos Alcaraz serving

Deuce court

1st serveNowCarlos winsv JerzyMatchupOptimal
Wide46%73%77%77.6%±5.959% ▲
Body18%67%73%76.7%±7.94% ▼
T37%77%76%78.1%±6.337%

Optimal v Jerzy Janowicz: +0.5±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +0.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowCarlos winsv JerzyMatchupOptimal
Wide49%72%74%72.5%±7.650%
Body16%66%61%63.7%±10.13% ▼
T34%72%72%72.3%±6.747% ▲

Optimal v Jerzy Janowicz: +0.8±0.8 per 100 first serves (faults included) over the current mix. Serving wide every time would read +1.5 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.

Jerzy Janowicz returning

1st serve to the forehand

ReturnNowTourOwnv CarlosValue
FH through the middle52%+4.3+0.2+0.5+4.9±2.2
FH down the line27%+1.7+3.8+1.0+6.5±3.5
FH crosscourt21%+5.5±0.0+0.8+6.3±3.4

Lean FH down the line: +0.8±2.9 per 100 returns v the current mix (148 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv CarlosValue
BH through the middle42%+6.4+0.1+0.4+6.9±2.1
BH crosscourt29%+8.8−1.8+0.7+7.7±2.7
BH down the line13%+4.2+1.1+0.1+5.4±3.2
BH slice through the middle9%−4.2−0.3−2.8−7.3±1.7
BH slice crosscourt7%+0.5+0.9−0.4+1.1±2.2

Lean BH crosscourt: +2.4±2.1 per 100 returns v the current mix (112 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv CarlosValue
BH through the middle55%−2.9−0.8−1.2−4.9±1.9
BH crosscourt33%+1.0−1.6−0.2−0.8±2.3
BH down the line12%−0.2−2.5−1.6−4.3±3.2

Lean BH crosscourt: +2.6±1.9 per 100 returns v the current mix (66 returns charted)

Carlos Alcaraz returning

1st serve to the forehand

ReturnNowTourOwnv JerzyValue
FH through the middle49%+4.3+1.2+1.3+6.7±2.3
FH crosscourt24%+5.5+1.3−1.0+5.8±3.1
FH down the line14%+1.7+1.2+3.0+5.9±3.2
FH slice through the middle8%−4.2+0.2−0.7−4.7±2.0
FH slice down the line2%−4.3+0.8+2.0−1.4±3.0

Lean FH through the middle: +1.7±1.5 per 100 returns v the current mix (4205 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JerzyValue
BH through the middle40%+6.4+1.0−2.6+4.9±2.1
BH crosscourt34%+8.8+1.5+0.5+10.9±2.5
BH slice through the middle10%−4.2−2.3+1.1−5.4±2.0
BH down the line7%+4.2−0.5−1.9+1.8±3.4
BH slice crosscourt6%+0.5−1.3−0.6−1.3±2.5

Lean BH crosscourt: +6.0±1.9 per 100 returns v the current mix (4723 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JerzyValue
FH through the middle42%−3.5−1.0+0.2−4.2±2.3
FH crosscourt36%−0.2−0.2−1.5−2.0±3.4
FH down the line17%−1.8−1.0−1.7−4.5±3.7
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: +1.6±2.5 per 100 returns v the current mix (1132 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv JerzyValue
BH crosscourt45%+1.0+0.1+2.3+3.4±2.5
BH through the middle27%−2.9−2.1−3.1−8.1±2.0
BH down the line9%−0.2+1.4+1.0+2.2±3.6
FH through the middle7%−2.9±0.0+0.2−2.6±2.1
FH inside-in5%+0.6−1.5−1.5−2.4±3.9

Lean BH crosscourt: +4.4±1.6 per 100 returns v the current mix (2787 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.

Jerzy Janowicz

Favour

ShotEdgeOwnTheirs
FH to the middle · return+1.5±2.1+0.4+1.1
FH to their backhand · return+1.0±3.2+0.9+0.1
BH to the middle · return−0.5±1.8−0.6+0.1
FH to their backhand · serve +1−0.8±2.8+0.7−1.5
BH to their backhand · rally−1.1±2.2−1.0−0.1
FH to their forehand · rally−1.6±2.6+0.6−2.2

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−7.7±3.0−5.4−2.2
FH to their backhand · rally−4.1±2.6−2.6−1.5
FH to their forehand · return +1−3.8±3.3−2.5−1.3
BH to their backhand · return−1.6±2.5−2.1+0.5
FH to their forehand · rally−1.6±2.6+0.6−2.2

Carlos Alcaraz

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+6.0±3.2+2.2+3.9
FH to their backhand · rally+5.4±2.8+1.6+3.8
FH to their backhand · serve +1+3.4±3.0+1.7+1.7
BH to their backhand · return+2.5±2.5+1.0+1.6
BH to their backhand · serve +1+2.0±2.6+0.9+1.1
FH to the middle · return+2.0±2.2+0.7+1.4

Avoid

ShotEdgeOwnTheirs
BH to the middle · return−3.1±1.9+1.0−4.0
BH to their backhand · rally+0.5±2.1+0.5−0.1
FH to their forehand · rally+2.0±2.7+1.4+0.7
FH to the middle · return+2.0±2.2+0.7+1.4
BH to their backhand · serve +1+2.0±2.6+0.9+1.1

Against Carlos Alcaraz-like opponents

Jerzy Janowicz vMatchesServe pts wonReturn pts won
All charted opponents–63.8%29.9%

Similar by tactical fingerprint: Stefanos Tsitsipas, Ben Shelton, Fabian Marozsan, Tallon Griekspoor, Alejandro Tabilo, Pablo Carreno Busta, Zizou Bergs, Lorenzo Sonego, Francisco Cerundolo, Luca Nardi. When two players have rarely met, their records against these lookalikes fill the gap.