RallyIQ

Game plan

Quentin Halys v Jerzy Janowicz

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

Forecast

Quentin Halys wins, best of 3 34%90%: 11%–65% · best of 5: 30%
Serve points won 69.1% / 72.7% Quentin / Jerzy · tour 65.7%
Strengths only, no similarity priors 34%serve 68.9% / 72.5%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Quentin Halys's record against Jerzy Janowicz's tactical lookalikes and in their charted head-to-heads (lookalikes: +5.5 on serve, −4.8 on return vs expectation (97 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

CareerQuentinJerzy
Direction choice+0.36 ±0.08
better than 99%
−0.09 ±0.21
better than 33%
Shot selection−0.28 ±0.29
better than 25%
+0.27 ±0.07
better than 77%
Execution+0.81 ±1.23
better than 92%
−1.30 ±0.85
better than 15%

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.

Quentin Halys serving

Deuce court

1st serveNowQuentin winsv JerzyMatchupOptimal
Wide51%79%77%82.7%±6.264% ▲
Body1%60%73%70.5%±14.80% ▼
T48%79%76%80.2%±7.536% ▼

Optimal v Jerzy Janowicz: +1.0±0.8 per 100 first serves (faults included) over the current mix. Serving wide every time would read +1.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowQuentin winsv JerzyMatchupOptimal
Wide50%81%74%81.9%±7.863% ▲
Body2%63%61%60.3%±17.00% ▼
T48%76%72%76.3%±8.037% ▼

Optimal v Jerzy Janowicz: +0.2±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.1 per 100 first serves in before the returner adjusts.

Jerzy Janowicz serving

Deuce court

1st serveNowJerzy winsv QuentinMatchupOptimal
Wide43%68%82%78.5%±7.443%
Body20%70%68%74.5%±11.87% ▼
T37%85%85%92.0%±4.450% ▲

Optimal v Quentin Halys: +1.3±1.0 per 100 first serves (faults included) over the current mix. Serving T every time would read +9.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJerzy winsv QuentinMatchupOptimal
Wide37%74%83%83.6%±6.850% ▲
Body22%63%57%57.2%±15.09% ▼
T41%72%81%80.8%±7.841%

Optimal v Quentin Halys: +1.2±1.0 per 100 first serves (faults included) over the current mix. Serving wide every time would read +6.9 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.

Quentin Halys returning

1st serve to the forehand

ReturnNowTourOwnv JerzyValue
FH through the middle32%+4.3−1.1+1.3+4.4±3.1
FH crosscourt20%+5.5+3.2−1.0+7.6±4.2
FH slice through the middle19%−4.2+1.9−0.7−2.9±2.3
FH down the line14%+1.7+2.0+3.0+6.7±4.1
FH slice down the line8%−4.3+1.3+2.0−0.9±2.9

Lean FH crosscourt: +4.6±3.6 per 100 returns v the current mix (166 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JerzyValue
BH crosscourt40%+8.8+2.5+0.5+11.9±3.5
BH through the middle30%+6.4−2.5−2.6+1.4±2.9
BH slice through the middle14%−4.2+0.8+1.1−2.2±2.4
BH slice crosscourt8%+0.5−0.2−0.6−0.2±2.6
BH down the line4%+4.2−1.2−1.9+1.1±3.4

Lean BH crosscourt: +7.4±2.3 per 100 returns v the current mix (177 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JerzyValue
FH through the middle44%−3.5−1.6+0.2−4.9±2.7
FH crosscourt38%−0.2+1.8−1.5+0.1±4.0
FH down the line18%−1.8+0.3−1.7−3.2±3.5

Lean FH crosscourt: +2.8±2.8 per 100 returns v the current mix (50 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv JerzyValue
BH crosscourt58%+1.0−0.1+2.3+3.2±3.3
BH through the middle27%−2.9+0.6−3.1−5.4±2.5
BH down the line11%−0.2+1.5+1.0+2.2±3.8
FH through the middle4%−2.9+0.4+0.2−2.3±1.9

Lean BH crosscourt: +2.6±1.6 per 100 returns v the current mix (113 returns charted)

Jerzy Janowicz returning

1st serve to the forehand

ReturnNowTourOwnv QuentinValue
FH through the middle52%+4.3+0.2+2.4+6.9±3.0
FH down the line27%+1.7+3.8−0.4+5.1±4.5
FH crosscourt21%+5.5±0.0+1.1+6.6±4.4

Lean FH through the middle: +0.5±2.1 per 100 returns v the current mix (148 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv QuentinValue
BH through the middle42%+6.4+0.1+0.8+7.2±2.9
BH crosscourt29%+8.8−1.8−0.3+6.6±3.4
BH down the line13%+4.2+1.1+0.4+5.7±3.7
BH slice through the middle9%−4.2−0.3+1.1−3.4±2.1
BH slice crosscourt7%+0.5+0.9−1.0+0.5±2.3

Lean BH through the middle: +1.8±2.0 per 100 returns v the current mix (112 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv QuentinValue
BH through the middle55%−2.9−0.8+0.9−2.8±2.5
BH crosscourt33%+1.0−1.6+2.3+1.8±3.1
BH down the line12%−0.2−2.5+2.8+0.1±4.1

Lean BH crosscourt: +2.7±2.5 per 100 returns v the current mix (66 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.

Quentin Halys

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+6.5±5.8+4.0+2.5
BH to their backhand · serve +1+5.2±5.1+1.7+3.5
FH to their forehand · serve +1+4.0±6.3−2.1+6.1
FH to their backhand · rally+1.6±5.8−3.3+4.9
BH to their backhand · return−1.9±5.5−3.7+1.8
FH to their forehand · rally−2.0±5.7−3.1+1.1

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−6.2±4.5−3.9−2.3
BH to the middle · return−3.7±4.0−0.1−3.5
FH to the middle · return−3.0±4.3−3.4+0.4
FH to their forehand · rally−2.0±5.7−3.1+1.1
BH to their backhand · return−1.9±5.5−3.7+1.8

Jerzy Janowicz

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+8.9±5.8+2.3+6.6
FH to the middle · return+6.1±4.3+2.1+4.0
FH to their backhand · rally+4.1±5.5−1.9+6.0
FH to their forehand · rally+3.7±5.7−0.7+4.4
FH to their backhand · return+2.7±6.5+2.0+0.6
BH to their backhand · rally+1.6±4.5−0.6+2.2

Avoid

ShotEdgeOwnTheirs
BH to the middle · return−0.5±3.9+0.7−1.1
BH to their backhand · return+0.8±5.6−1.3+2.0
FH to their forehand · serve +1+1.2±6.1−4.9+6.1
BH to their backhand · rally+1.6±4.5−0.6+2.2
FH to their backhand · return+2.7±6.5+2.0+0.6

Against Jerzy Janowicz-like opponents

Quentin Halys vMatchesServe pts wonReturn pts won
All charted opponents–65.7%26.2%
Players most similar to Jerzy Janowicz1 65.3%22.9%

Similar by tactical fingerprint: Carlos Alcaraz, Alexander Bublik, Fabian Marozsan, Hamad Medjedovic, Zizou Bergs, Lorenzo Sonego, Alejandro Davidovich Fokina, Martin Klizan, Lukas Rosol. When two players have rarely met, their records against these lookalikes fill the gap.