RallyIQ

Game plan

Andrey Rublev v Mats Wilander

Every number combines what Andrey Rublev does well with what Mats Wilander allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Andrey Rublev wins, best of 3 85%90%: 74%–92% · best of 5: 90%
Serve points won 66.1% / 57.9% Andrey / Mats · tour 63.8%
Strengths only, no similarity priors 86%serve 66.3% / 57.9%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Andrey Rublev's record against Mats Wilander's tactical lookalikes and in their charted head-to-heads (lookalikes: −1.1 on serve, −0.1 on return vs expectation (797 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

CareerAndreyMats
Direction choice+0.03 ±0.04
better than 64%
−0.43 ±0.17
better than 1%
Shot selection−0.01 ±0.06
better than 52%
−0.44 ±0.23
better than 14%
Execution+0.89 ±0.28
better than 94%
+1.61 ±0.32
better than 99%
Points left on the table2.39 ±0.07
lower than 74%
3.26 ±0.31
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.

Andrey Rublev serving

Deuce court

1st serveNowAndrey winsv MatsMatchupOptimal
Wide44%74%72%73.3%±3.657% ▲
Body5%68%58%63.4%±7.20% ▼
T51%80%69%74.8%±3.943% ▼

Optimal v Mats Wilander: +0.6±0.5 per 100 first serves (faults included) over the current mix. Serving T every time would read +1.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAndrey winsv MatsMatchupOptimal
Wide52%77%69%72.7%±3.742% ▼
Body4%68%57%62.3%±9.50% ▼
T44%73%72%73.9%±4.458% ▲

Optimal v Mats Wilander: +0.4±0.5 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.0 per 100 first serves in before the returner adjusts.

Mats Wilander serving

Deuce court

1st serveNowMats winsv AndreyMatchupOptimal
Wide46%61%74%62.5%±3.646%
Body16%60%60%57.1%±6.93% ▼
T38%68%72%64.8%±4.351% ▲

Optimal v Andrey Rublev: +0.2±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMats winsv AndreyMatchupOptimal
Wide48%64%72%63.0%±3.948%
Body14%57%60%54.2%±7.61% ▼
T38%64%74%66.3%±4.251% ▲

Optimal v Andrey Rublev: +1.1±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.3 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.

Andrey Rublev returning

1st serve to the forehand

ReturnNowTourOwnv MatsValue
FH through the middle46%+4.3+1.4+2.2+7.8±1.5
FH crosscourt24%+5.5+3.9+4.3+13.8±3.1
FH down the line13%+1.7+2.5+4.8+9.0±3.3
FH slice through the middle10%−4.2−2.9+0.1−7.1±2.0
FH slice crosscourt4%−4.3−0.6±0.0−4.9±1.9

Lean FH crosscourt: +6.6±2.5 per 100 returns v the current mix (2295 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MatsValue
BH through the middle47%+6.4+3.2−0.9+8.7±1.6
BH crosscourt32%+8.8+3.9+2.3+15.1±2.4
BH down the line9%+4.2+4.2+1.3+9.7±4.0
BH slice through the middle6%−4.2−0.6+2.3−2.5±1.9
BH slice crosscourt3%+0.5−2.2+2.8+1.1±2.8

Lean BH crosscourt: +5.3±1.8 per 100 returns v the current mix (2738 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MatsValue
FH through the middle44%−3.5+1.0+0.5−1.9±2.3
FH crosscourt29%−0.2+0.6+5.8+6.2±3.7
FH down the line21%−1.8−0.4+3.8+1.6±4.1
BH through the middle2%+0.1−0.7+1.9+1.2±1.9
FH slice through the middle2%−12.7−0.3+1.7−11.3±1.8

Lean FH crosscourt: +5.1±2.9 per 100 returns v the current mix (677 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MatsValue
BH crosscourt43%+1.0+0.8+1.9+3.8±2.5
BH through the middle39%−2.9+0.8+1.9−0.3±2.0
BH down the line9%−0.2+2.3+0.7+2.8±4.5
FH through the middle4%−2.9−1.1+0.5−3.5±2.2
FH inside-in2%+0.6+1.0+5.8+7.3±4.1

Lean FH inside-in: +5.5±4.3 per 100 returns v the current mix (2289 returns charted)

Mats Wilander returning

1st serve to the forehand

ReturnNowTourOwnv AndreyValue
FH through the middle45%+4.3+1.5+2.7+8.4±1.8
FH down the line22%+1.7+2.2+0.8+4.6±3.5
FH crosscourt14%+5.5−0.9+5.0+9.6±3.6
FH slice through the middle12%−4.2+1.7+0.8−1.8±1.9
FH slice down the line4%−4.3+1.5+2.2−0.6±3.0

Lean FH crosscourt: +3.5±3.3 per 100 returns v the current mix (605 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AndreyValue
BH through the middle38%+6.4+0.8+3.1+10.2±1.7
BH crosscourt17%+8.8+1.5+3.6+13.9±2.7
BH slice through the middle16%−4.2+0.8−0.5−3.9±1.9
BH down the line15%+4.2+5.3+2.4+11.9±3.8
BH slice crosscourt8%+0.5+2.4+0.3+3.2±2.8

Lean BH crosscourt: +6.2±2.5 per 100 returns v the current mix (673 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AndreyValue
FH through the middle47%−3.5+3.3+1.1+1.0±2.2
FH crosscourt27%−0.2+1.0+2.4+3.2±3.7
FH down the line17%−1.8+5.2+1.0+4.4±4.0
BH through the middle6%+0.1+1.2+0.3+1.5±1.4
BH inside-in4%+2.5+0.6+0.9+3.9±2.2

Lean FH down the line: +2.1±3.6 per 100 returns v the current mix (272 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AndreyValue
BH through the middle41%−2.9+1.7+0.3−0.9±1.5
BH crosscourt36%+1.0+2.8+0.9+4.7±2.1
BH down the line17%−0.2+2.5+7.5+9.7±4.0
FH through the middle3%−2.9+0.9+1.1−0.9±1.8
FH inside-in2%+0.6+0.8+2.4+3.8±3.1

Lean BH down the line: +6.7±3.5 per 100 returns v the current mix (598 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 hard. Each player's hard record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Andrey Rublev

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+10.7±3.7+4.3+6.4
BH to their forehand · return +1+10.0±4.8+1.7+8.3
FH to their backhand · return+9.7±3.3+2.1+7.5
BH to their backhand · return+7.2±3.2+2.2+5.0
BH to their forehand · return+6.8±4.6+1.6+5.2
FH to the middle · return+5.6±1.8+1.1+4.5

Avoid

ShotEdgeOwnTheirs
BH volley to their forehand · rally−4.1±7.7−6.6+2.5
Smash to their forehand · rally−4.0±5.9+2.8−6.7
FH volley to their backhand · rally−3.6±7.7−3.8+0.2
Smash to their backhand · rally−3.4±6.1+3.9−7.3
BH volley to the middle · rally−2.5±7.9+1.0−3.5

Mats Wilander

Favour

ShotEdgeOwnTheirs
FH volley to their forehand · rally+9.2±7.4+5.7+3.5
BH to their forehand · return+8.7±3.9+3.3+5.5
FH to their backhand · return+7.7±3.7+6.4+1.4
BH slice to their backhand · serve +1+6.0±3.5+7.0−0.9
BH slice to their backhand · return+6.0±3.7+4.9+1.1
FH slice to the middle · return+4.8±2.7+3.9+0.9

Avoid

ShotEdgeOwnTheirs
BH to their backhand · serve +1−2.7±2.8−1.4−1.3
BH to the middle · return +1−1.8±2.5−1.2−0.6
FH to their backhand · return +1−1.7±3.6−0.1−1.7
BH to their forehand · return +1−1.7±5.4+0.1−1.8
BH to the middle · rally−1.2±1.5−0.5−0.7

Against Mats Wilander-like opponents

Andrey Rublev vMatchesServe pts wonReturn pts won
All charted opponents–66.4%37.2%
Players most similar to Mats Wilander5 59.4%33.2%

Similar by tactical fingerprint: Novak Djokovic, Jenson Brooksby, Jarkko Nieminen, Fabrice Santoro, Guillermo Coria, Jiri Novak, Michael Chang, Sergi Bruguera, Andrei Chesnokov, Bjorn Borg. When two players have rarely met, their records against these lookalikes fill the gap.