RallyIQ

Game plan

Alex Molcan v Rafael Jodar

Every number combines what Alex Molcan does well with what Rafael Jodar allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Alex Molcan wins, best of 3 41%90%: 14%–73% · best of 5: 38%
Serve points won 61.9% / 63.8% Alex / Rafael · tour 63.4%
Strengths only, no similarity priors 40%serve 61.5% / 63.6%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Alex Molcan's record against Rafael Jodar's tactical lookalikes and in their charted head-to-heads (lookalikes: +5.1 on serve, −2.9 on return vs expectation (303 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

CareerAlexRafael
Direction choice−0.14 ±0.11
better than 20%
+0.18 ±0.12
better than 93%
Shot selection−0.41 ±0.18
better than 17%
+0.07 ±0.08
better than 61%
Execution+0.53 ±0.66
better than 85%
+0.37 ±1.34
better than 81%
Points left on the table2.65 ±0.27
lower than 45%
2.06 ±0.11
lower than 99%

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.

Alex Molcan serving

Deuce court

1st serveNowAlex winsv RafaelMatchupOptimal
Wide28%72%68%66.4%±10.241% ▲
Body19%61%59%56.8%±15.710% ▼
T52%66%64%53.2%±9.549% ▼

Optimal v Rafael Jodar: +0.3±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +8.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAlex winsv RafaelMatchupOptimal
Wide42%68%69%63.7%±9.142%
Body13%59%67%63.3%±16.00% ▼
T45%71%66%64.5%±10.858% ▲

Optimal v Rafael Jodar: +0.6±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +0.5 per 100 first serves in before the returner adjusts.

Rafael Jodar serving

Deuce court

1st serveNowRafael winsv AlexMatchupOptimal
Wide45%74%71%71.9%±8.158% ▲
Body3%53%51%40.2%±17.20% ▼
T52%71%81%77.5%±7.842% ▼

Optimal v Alex Molcan: +0.4±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRafael winsv AlexMatchupOptimal
Wide54%73%77%77.1%±8.067% ▲
Body10%61%63%61.1%±15.70% ▼
T36%64%73%64.9%±9.933% ▼

Optimal v Alex Molcan: +0.4±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +6.0 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.

Alex Molcan returning

1st serve to the forehand

ReturnNowTourOwnv RafaelValue
FH through the middle34%+4.3±0.0+3.8+8.0±3.1
FH slice through the middle27%−4.2−0.8−1.5−6.5±2.2
FH crosscourt19%+5.5+0.7+3.1+9.2±4.4
FH down the line10%+1.7−1.2+2.4+2.9±4.2
FH slice crosscourt6%−4.3+0.8+0.6−2.9±2.1

Lean FH crosscourt: +6.5±3.8 per 100 returns v the current mix (177 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RafaelValue
BH through the middle46%+6.4+1.1+1.0+8.5±2.7
BH crosscourt14%+8.8−2.6+3.6+9.8±3.6
BH slice through the middle14%−4.2−0.4−1.2−5.8±2.3
BH down the line11%+4.2+2.8+0.7+7.7±4.5
BH slice down the line10%−8.4−0.7±0.0−9.1±2.4

Lean BH crosscourt: +5.3±3.4 per 100 returns v the current mix (290 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RafaelValue
FH crosscourt50%−0.2−0.8+0.1−0.9±4.4
FH through the middle38%−3.5±0.0−1.6−5.1±2.9
FH down the line12%−1.8+1.1−0.6−1.2±4.1

Lean FH crosscourt: +1.7±2.5 per 100 returns v the current mix (86 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv RafaelValue
BH through the middle66%−2.9+2.5−0.8−1.1±2.5
BH crosscourt23%+1.0+1.8+3.5+6.3±3.2
BH down the line11%−0.2+2.1−0.3+1.6±4.5

Lean BH crosscourt: +5.4±3.0 per 100 returns v the current mix (137 returns charted)

Rafael Jodar returning

1st serve to the forehand

ReturnNowTourOwnv AlexValue
FH through the middle40%+4.3+1.0−1.1+4.1±3.0
FH crosscourt22%+5.5+3.4+1.3+10.2±4.3
FH slice through the middle15%−4.2−0.1−1.4−5.8±2.1
FH down the line10%+1.7+4.4−1.1+5.0±3.6
FH slice down the line7%−4.3−0.2±0.0−4.5±1.6

Lean FH crosscourt: +7.2±3.6 per 100 returns v the current mix (110 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AlexValue
BH through the middle40%+6.4±0.0+0.1+6.6±2.7
BH crosscourt35%+8.8+0.5+2.7+12.0±3.6
BH down the line18%+4.2+3.5−1.4+6.2±4.6
BH slice through the middle4%−4.2−0.4+1.7−2.9±2.1
BH slice crosscourt3%+0.5−0.5+0.6+0.6±2.4

Lean BH crosscourt: +4.2±2.7 per 100 returns v the current mix (164 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AlexValue
BH crosscourt44%+1.0−2.1−0.8−1.9±3.3
BH through the middle38%−2.9+1.0+1.3−0.6±2.5
BH down the line18%−0.2+2.3−4.2−2.1±4.7

Lean BH through the middle: +0.8±2.3 per 100 returns v the current mix (107 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.

Alex Molcan

Favour

ShotEdgeOwnTheirs
BH to their forehand · return+6.7±4.6+1.4+5.3
FH to their backhand · rally+4.6±2.6+3.0+1.6
BH to the middle · return+3.5±2.4+2.3+1.3
FH to their backhand · return+3.1±4.0+1.3+1.8
BH to their forehand · rally+2.6±3.7+1.9+0.7
FH to their backhand · return +1+2.4±3.9+1.5+0.9

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−6.1±3.4−1.9−4.3
FH to their forehand · rally−3.1±3.2−1.7−1.4
BH to their backhand · rally−2.6±2.6−1.3−1.4
FH to their forehand · serve +1−2.4±4.2−1.8−0.6
FH to the middle · rally−1.3±2.4+0.2−1.5

Rafael Jodar

Favour

ShotEdgeOwnTheirs
BH to their forehand · rally+3.2±3.5+1.1+2.1
BH to the middle · return+2.7±2.4+1.3+1.4
BH to the middle · rally+2.3±2.0+0.7+1.6
BH to their forehand · return+1.1±4.5−0.2+1.3
FH to the middle · return±0.0±2.8+0.1−0.2
BH to their backhand · return−0.4±3.4+2.4−2.8

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−3.2±2.5−1.9−1.3
FH to their backhand · serve +1−3.0±3.3−1.4−1.6
FH to their forehand · serve +1−2.1±3.8−1.9−0.2
FH to their forehand · rally−1.9±3.0−0.6−1.2
FH to the middle · rally−1.2±2.4−1.8+0.6

Against Rafael Jodar-like opponents

Alex Molcan vMatchesServe pts wonReturn pts won
All charted opponents–61.5%34.5%
Players most similar to Rafael Jodar1 69.1%34.2%

Similar by tactical fingerprint: Learner Tien, Joao Fonseca, Ugo Humbert, Sebastian Korda, Roman Safiullin, Sebastian Ofner, Borna Coric, David Goffin, Kyle Edmund, Fernando Verdasco. When two players have rarely met, their records against these lookalikes fill the gap.