RallyIQ

Game plan

Vitas Gerulaitis v Alex Molcan

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

Forecast

Vitas Gerulaitis wins, best of 3 43%90%: 9%–83% · best of 5: 41%
Serve points won 60.3% / 61.8% Vitas / Alex · tour 61.3%
Strengths only, no similarity priors 43%serve 60.3% / 61.8%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerVitasAlex
Direction choice−0.02 ±0.16
better than 50%
−0.14 ±0.11
better than 20%
Shot selection−0.66 ±0.50
better than 7%
−0.41 ±0.18
better than 17%
Execution+0.43 ±0.48
better than 83%
+0.53 ±0.66
better than 85%
Points left on the table4.06 ±0.18
lower than 4%
2.65 ±0.27
lower than 45%

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.

Vitas Gerulaitis serving

Deuce court

1st serveNowVitas winsv AlexMatchupOptimal
Wide42%77%71%75.4%±8.555% ▲
Body2%59%51%46.2%±18.30% ▼
T56%63%81%71.1%±9.045% ▼

Optimal v Alex Molcan: +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.

Ad court

1st serveNowVitas winsv AlexMatchupOptimal
Wide69%76%77%80.1%±7.758% ▼
Body3%63%63%62.4%±17.30% ▼
T29%68%73%69.5%±10.242% ▲

Optimal v Alex Molcan: +0.3±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.5 per 100 first serves in before the returner adjusts.

Alex Molcan serving

Deuce court

1st serveNowAlex winsv VitasMatchupOptimal
Wide28%72%74%72.9%±9.541% ▲
Body19%61%67%65.0%±14.66% ▼
T52%66%72%62.2%±10.553%

Optimal v Vitas Gerulaitis: +0.5±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +7.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAlex winsv VitasMatchupOptimal
Wide42%68%73%67.8%±9.655% ▲
Body13%59%60%55.5%±16.80% ▼
T45%71%71%70.3%±9.945%

Optimal v Vitas Gerulaitis: +0.9±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.0 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.

Vitas Gerulaitis returning

1st serve to the forehand

ReturnNowTourOwnv AlexValue
FH down the line39%+1.7+1.5−1.1+2.1±4.2
FH through the middle36%+4.3−0.2−1.1+2.9±3.0
FH slice through the middle12%−4.2+1.4−1.4−4.3±2.1
FH crosscourt8%+5.5−0.3+1.3+6.5±3.9
FH slice down the line5%−4.3−0.9±0.0−5.2±1.4

Lean FH through the middle: +1.3±2.6 per 100 returns v the current mix (132 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv AlexValue
BH slice through the middle50%−4.2+1.5+1.7−1.0±2.5
BH slice down the line25%−8.4+3.2−2.0−7.2±3.5
BH slice crosscourt20%+0.5+1.3+0.6+2.4±2.8
BH crosscourt4%+8.8−0.2+2.7+11.3±2.9

Lean BH slice crosscourt: +3.8±2.7 per 100 returns v the current mix (114 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AlexValue
BH slice crosscourt39%−4.0+1.5−0.2−2.6±2.2
BH slice through the middle39%−11.3+1.8−0.4−9.9±2.3
BH slice down the line14%−9.3+4.0−1.4−6.7±3.2
FH through the middle8%−2.9±0.0+1.3−1.6±2.1

Lean BH slice crosscourt: +3.3±1.7 per 100 returns v the current mix (92 returns charted)

Alex Molcan returning

1st serve to the forehand

ReturnNowTourOwnv VitasValue
FH through the middle34%+4.3±0.0−0.5+3.7±3.1
FH slice through the middle27%−4.2−0.8±0.0−5.0±1.7
FH crosscourt19%+5.5+0.7+0.4+6.5±4.2
FH down the line10%+1.7−1.2−0.6−0.1±4.1
FH slice crosscourt6%−4.3+0.8±0.0−3.6±1.6

Lean FH crosscourt: +5.7±3.6 per 100 returns v the current mix (177 returns charted)

1st serve to the backhand

ReturnNowTourOwnv VitasValue
BH through the middle46%+6.4+1.1+1.0+8.5±2.7
BH crosscourt14%+8.8−2.6+0.5+6.7±3.4
BH slice through the middle14%−4.2−0.4−0.9−5.4±2.5
BH down the line11%+4.2+2.8+4.1+11.2±4.6
BH slice down the line10%−8.4−0.7+1.4−7.7±3.2

Lean BH down the line: +6.5±4.3 per 100 returns v the current mix (290 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv VitasValue
FH crosscourt50%−0.2−0.8+3.0+2.0±4.4
FH through the middle38%−3.5±0.0+2.5−1.0±2.9
FH down the line12%−1.8+1.1+2.9+2.2±4.2

Lean FH crosscourt: +1.1±2.5 per 100 returns v the current mix (86 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv VitasValue
BH through the middle66%−2.9+2.5+1.3+0.9±2.3
BH crosscourt23%+1.0+1.8−0.9+1.9±3.0
BH down the line11%−0.2+2.1−0.5+1.4±4.0

Lean BH crosscourt: +0.7±2.8 per 100 returns v the current mix (137 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.

Vitas Gerulaitis

Favour

ShotEdgeOwnTheirs
BH slice to their forehand · rally+9.5±4.9+5.4+4.1
FH to the middle · rally+4.7±3.4+2.5+2.2
BH slice to the middle · rally+4.6±2.8+5.3−0.7
BH slice to the middle · return+3.0±2.7+1.8+1.1
FH to the middle · return+2.9±3.8+1.7+1.2
FH to their backhand · rally+1.6±4.0−0.1+1.7

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−1.9±5.1+0.4−2.3
FH to their backhand · serve +1−0.4±4.9+0.7−1.1
FH to their backhand · rally+1.6±4.0−0.1+1.7
FH to the middle · return+2.9±3.8+1.7+1.2
BH slice to the middle · return+3.0±2.7+1.8+1.1

Alex Molcan

Favour

ShotEdgeOwnTheirs
BH to the middle · return+7.2±3.4+3.0+4.2
BH to their forehand · rally+5.0±5.4+2.4+2.6
BH to the middle · rally+3.8±2.8+2.2+1.5
FH to their backhand · rally+3.4±4.2+3.8−0.4
FH to the middle · return+3.4±3.9+1.8+1.6
FH to the middle · rally+0.6±3.5+0.5+0.1

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−3.8±5.1−1.0−2.8
FH to their forehand · serve +1−0.8±5.9−0.9+0.1
BH to their backhand · rally−0.7±3.5−0.4−0.2
FH to the middle · rally+0.6±3.5+0.5+0.1
FH to the middle · return+3.4±3.9+1.8+1.6

Against Alex Molcan-like opponents

Vitas Gerulaitis vMatchesServe pts wonReturn pts won
All charted opponents–59.7%35.4%

Similar by tactical fingerprint: Learner Tien, Gael Monfils, Miomir Kecmanovic, Yoshihito Nishioka, Albert Ramos, Emil Ruusuvuori, Jiri Vesely, Juan Martin Del Potro, Guido Pella, Nikolay Davydenko. When two players have rarely met, their records against these lookalikes fill the gap.