RallyIQ

Game plan

Tomas Machac v Mats Wilander

Every number combines what Tomas Machac 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

Tomas Machac wins, best of 3 60%90%: 41%–77% · best of 5: 63%
Serve points won 63.1% / 61.1% Tomas / Mats · tour 63.8%
Strengths only, no similarity priors 62%serve 63.4% / 60.9%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Tomas Machac's record against Mats Wilander's tactical lookalikes and in their charted head-to-heads (lookalikes: −4.0 on serve, −4.3 on return vs expectation (166 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

CareerTomasMats
Direction choice+0.12 ±0.07
better than 83%
−0.43 ±0.17
better than 1%
Shot selection+0.08 ±0.15
better than 63%
−0.44 ±0.23
better than 14%
Execution+0.15 ±0.51
better than 75%
+1.61 ±0.32
better than 99%
Points left on the table2.35 ±0.10
lower than 79%
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.

Tomas Machac serving

Deuce court

1st serveNowTomas winsv MatsMatchupOptimal
Wide44%67%72%65.3%±5.438% ▼
Body6%62%58%56.8%±10.60% ▼
T49%74%69%68.4%±5.762% ▲

Optimal v Mats Wilander: +0.3±0.6 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowTomas winsv MatsMatchupOptimal
Wide46%70%69%65.2%±5.733% ▼
Body8%64%57%57.7%±11.18%
T46%72%72%72.1%±5.659% ▲

Optimal v Mats Wilander: +0.8±0.7 per 100 first serves (faults included) over the current mix. Serving T every time would read +4.3 per 100 first serves in before the returner adjusts.

Mats Wilander serving

Deuce court

1st serveNowMats winsv TomasMatchupOptimal
Wide46%61%74%62.7%±5.433% ▼
Body16%60%66%62.4%±10.016%
T38%68%78%71.4%±5.451% ▲

Optimal v Tomas Machac: +0.4±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMats winsv TomasMatchupOptimal
Wide48%64%71%61.3%±5.548%
Body14%57%60%54.0%±11.91% ▼
T38%64%68%59.3%±6.351% ▲

Optimal v Tomas Machac: +0.4±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.8 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.

Tomas Machac returning

1st serve to the forehand

ReturnNowTourOwnv MatsValue
FH through the middle48%+4.3+2.7+2.2+9.1±2.1
FH down the line27%+1.7+1.7+4.8+8.2±3.8
FH crosscourt17%+5.5+3.2+4.3+13.0±4.0
FH slice through the middle6%−4.2−1.2+0.1−5.4±2.2
FH slice down the line3%−4.3+1.3±0.0−2.9±1.8

Lean FH crosscourt: +4.6±3.6 per 100 returns v the current mix (465 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MatsValue
BH through the middle37%+6.4+1.1−0.9+6.6±2.2
BH crosscourt31%+8.8+3.1+2.3+14.2±3.0
BH slice through the middle13%−4.2+2.1+2.3+0.2±2.1
BH down the line9%+4.2+2.2+1.3+7.7±4.5
BH slice crosscourt6%+0.5−0.5+2.8+2.8±2.8

Lean BH crosscourt: +6.7±2.3 per 100 returns v the current mix (508 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MatsValue
FH through the middle39%−3.5+1.7+0.5−1.3±2.7
FH down the line33%−1.8−0.2+3.8+1.8±4.4
FH crosscourt24%−0.2+2.3+5.8+7.9±4.1
FH slice through the middle4%−12.7−0.5+1.7−11.4±1.6

Lean FH crosscourt: +6.4±3.6 per 100 returns v the current mix (163 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MatsValue
BH crosscourt51%+1.0+1.0+1.9+4.0±3.0
BH through the middle37%−2.9+0.5+1.9−0.5±2.4
BH down the line9%−0.2−1.1+0.7−0.6±4.9
FH through the middle3%−2.9+0.4+0.5−1.9±1.9

Lean BH crosscourt: +2.2±1.8 per 100 returns v the current mix (339 returns charted)

Mats Wilander returning

1st serve to the forehand

ReturnNowTourOwnv TomasValue
FH through the middle45%+4.3+1.5+1.3+7.0±2.2
FH down the line22%+1.7+2.2+2.9+6.7±4.1
FH crosscourt14%+5.5−0.9+4.9+9.5±4.2
FH slice through the middle12%−4.2+1.7−0.2−2.8±2.3
FH slice down the line4%−4.3+1.5+1.8−1.0±2.9

Lean FH crosscourt: +3.7±3.9 per 100 returns v the current mix (605 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv TomasValue
BH through the middle38%+6.4+0.8+1.8+8.9±2.1
BH crosscourt17%+8.8+1.5+2.2+12.5±3.2
BH slice through the middle16%−4.2+0.8±0.0−3.4±2.4
BH down the line15%+4.2+5.3±0.0+9.6±4.5
BH slice crosscourt8%+0.5+2.4+0.3+3.3±3.0

Lean BH crosscourt: +5.8±2.9 per 100 returns v the current mix (673 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv TomasValue
FH through the middle47%−3.5+3.3+1.0+0.8±2.6
FH crosscourt27%−0.2+1.0+1.6+2.4±4.2
FH down the line17%−1.8+5.2+2.2+5.6±4.7
BH through the middle6%+0.1+1.2−1.2+0.1±1.7
BH inside-in4%+2.5+0.6+1.4+4.5±2.8

Lean FH down the line: +3.4±4.3 per 100 returns v the current mix (272 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv TomasValue
BH through the middle41%−2.9+1.7−1.2−2.3±1.9
BH crosscourt36%+1.0+2.8+1.4+5.3±2.6
BH down the line17%−0.2+2.5+2.0+4.3±4.8
FH through the middle3%−2.9+0.9+1.0−1.0±2.2
FH inside-in2%+0.6+0.8+1.6+3.0±3.6

Lean BH crosscourt: +3.5±2.0 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.

Tomas Machac

Favour

ShotEdgeOwnTheirs
BH to their forehand · return +1+12.8±6.3+4.5+8.3
FH to their forehand · return+11.5±5.0+5.1+6.4
FH to the middle · return+7.4±2.4+2.9+4.5
FH volley to their forehand · rally+7.0±7.6+2.6+4.4
BH to their backhand · return+7.0±3.6+2.0+5.0
FH to their backhand · return+7.0±4.1−0.6+7.5

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−2.4±4.4−1.6−0.8
FH to their backhand · return +1−1.3±4.9−1.1−0.2
BH to the middle · rally−1.1±2.0−0.6−0.5
BH to their forehand · serve +1−1.1±6.4−1.4+0.4
BH volley to their forehand · rally−0.8±8.4−3.4+2.5

Mats Wilander

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+11.7±4.7+6.4+5.4
BH to their forehand · rally+7.6±3.9+3.3+4.4
BH to their forehand · return+5.9±5.2+3.3+2.7
FH to their backhand · serve +1+5.1±3.6+0.3+4.8
BH to their backhand · return+4.9±3.2+2.9+2.0
BH slice to their backhand · return +1+4.5±3.7+3.3+1.2

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return +1−4.6±4.7−0.1−4.5
FH to their forehand · return +1−1.4±5.3−2.4+1.0
BH to the middle · return +1−0.6±3.0−1.2+0.6
FH to the middle · return +1−0.6±3.7+0.9−1.4
BH to their backhand · serve +1−0.3±3.5−1.4+1.1

Against Mats Wilander-like opponents

Tomas Machac vMatchesServe pts wonReturn pts won
All charted opponents–62.8%35.7%
Players most similar to Mats Wilander1 54.0%29.1%

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.