RallyIQ

Game plan

Tomas Machac v Brad Gilbert

Every number combines what Tomas Machac does well with what Brad Gilbert 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 72%90%: 39%–93% · best of 5: 77%
Serve points won 63.3% / 58.6% Tomas / Brad · tour 63.4%
Strengths only, no similarity priors 72%serve 63.3% / 58.6%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerTomasBrad
Direction choice+0.12 ±0.07
better than 83%
+0.13 ±0.18
better than 86%
Shot selection+0.08 ±0.15
better than 63%
+0.20 ±0.28
better than 72%
Execution+0.15 ±0.51
better than 75%
−0.12 ±0.50
better than 63%
Points left on the table2.35 ±0.10
lower than 79%
3.65 ±0.41
lower than 6%

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 BradMatchupOptimal
Wide44%67%71%64.7%±9.038% ▼
Body6%62%75%73.6%±11.40% ▼
T49%74%76%74.6%±7.162% ▲

Optimal v Brad Gilbert: +0.8±0.7 per 100 first serves (faults included) over the current mix. Serving T every time would read +4.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowTomas winsv BradMatchupOptimal
Wide46%70%72%68.9%±7.941% ▼
Body8%64%55%56.0%±13.90% ▼
T46%72%73%72.7%±8.959% ▲

Optimal v Brad Gilbert: +0.7±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.1 per 100 first serves in before the returner adjusts.

Brad Gilbert serving

Deuce court

1st serveNowBrad winsv TomasMatchupOptimal
Wide52%66%74%67.8%±7.562% ▲
Body7%65%66%67.3%±13.90% ▼
T41%69%78%72.4%±7.838% ▼

Optimal v Tomas Machac: +0.2±0.6 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowBrad winsv TomasMatchupOptimal
Wide47%66%71%63.5%±8.760% ▲
Body7%53%60%49.5%±15.70% ▼
T46%65%68%60.4%±8.940% ▼

Optimal v Tomas Machac: +0.2±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.4 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 BradValue
FH through the middle48%+4.3+2.7+2.6+9.5±2.7
FH down the line27%+1.7+1.7+0.8+4.2±4.3
FH crosscourt17%+5.5+3.2−2.5+6.2±4.2
FH slice through the middle6%−4.2−1.2±0.0−5.4±1.6
FH slice down the line3%−4.3+1.3±0.0−2.9±1.8

Lean FH through the middle: +3.2±2.0 per 100 returns v the current mix (465 returns charted)

1st serve to the backhand

ReturnNowTourOwnv BradValue
BH through the middle37%+6.4+1.1−0.3+7.2±2.6
BH crosscourt31%+8.8+3.1+3.4+15.3±3.2
BH slice through the middle13%−4.2+2.1+2.6+0.4±2.5
BH down the line9%+4.2+2.2−2.6+3.8±4.4
BH slice crosscourt6%+0.5−0.5+0.9+0.9±2.9

Lean BH crosscourt: +7.8±2.5 per 100 returns v the current mix (508 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv BradValue
FH through the middle39%−3.5+1.7+2.5+0.7±2.9
FH down the line33%−1.8−0.2+1.6−0.4±4.7
FH crosscourt24%−0.2+2.3+1.0+3.1±4.4
FH slice through the middle4%−12.7−0.5±0.0−13.2±1.1

Lean FH crosscourt: +2.7±3.9 per 100 returns v the current mix (163 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv BradValue
BH crosscourt51%+1.0+1.0+3.3+5.4±2.9
BH through the middle37%−2.9+0.5+0.1−2.3±2.2
BH down the line9%−0.2−1.1+1.1−0.2±4.0
FH through the middle3%−2.9+0.4+2.5±0.0±2.1

Lean BH crosscourt: +3.5±1.7 per 100 returns v the current mix (339 returns charted)

Brad Gilbert returning

1st serve to the forehand

ReturnNowTourOwnv TomasValue
FH through the middle41%+4.3+0.3+1.3+5.9±2.7
FH crosscourt39%+5.5+2.6+4.9+13.0±4.2
FH down the line20%+1.7−1.4+2.9+3.1±4.1

Lean FH crosscourt: +4.9±2.9 per 100 returns v the current mix (90 returns charted)

1st serve to the backhand

ReturnNowTourOwnv TomasValue
BH through the middle31%+6.4−1.0+1.8+7.2±2.5
BH crosscourt19%+8.8+0.8+2.2+11.8±3.4
BH slice crosscourt17%+0.5+2.0+0.3+2.9±3.0
BH slice through the middle16%−4.2−1.5±0.0−5.7±2.4
BH down the line12%+4.2−0.2±0.0+4.0±4.5

Lean BH crosscourt: +7.7±3.0 per 100 returns v the current mix (193 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv TomasValue
BH through the middle30%−2.9+0.3−1.2−3.7±2.1
BH slice through the middle17%−11.3+0.3±0.0−11.0±1.3
BH slice crosscourt16%−4.0+0.1±0.0−3.9±1.4
FH through the middle11%−2.9−0.9+1.0−2.8±1.9
BH crosscourt9%+1.0−1.0+1.4+1.4±2.4

Lean BH through the middle: −0.5±1.6 per 100 returns v the current mix (64 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.

Tomas Machac

Favour

ShotEdgeOwnTheirs
FH to the middle · return+6.2±2.4+2.8+3.4
FH to their forehand · return+3.5±4.3+4.9−1.4
BH to their backhand · rally+3.4±2.3+0.6+2.8
BH to the middle · return+2.6±2.3+1.2+1.3
FH to their backhand · rally+2.3±2.9−1.1+3.3
FH to their backhand · return+1.8±3.5+0.2+1.6

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−0.6±3.1−0.8+0.2
BH to their backhand · return +1+0.6±3.1+0.2+0.4
FH to their backhand · return+1.8±3.5+0.2+1.6
FH to their backhand · rally+2.3±2.9−1.1+3.3
BH to the middle · return+2.6±2.3+1.2+1.3

Brad Gilbert

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+6.9±4.1+3.7+3.2
BH to their backhand · return+4.2±3.0+2.5+1.7
FH to their forehand · rally+4.1±3.0+2.8+1.3
BH slice to their backhand · rally+3.9±2.5+2.7+1.3
FH to their backhand · serve +1+2.7±3.3−0.8+3.5
BH slice to the middle · rally+2.3±2.3+2.6−0.2

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−1.0±3.1−0.4−0.6
FH to the middle · rally+0.1±2.3+0.3−0.3
BH to the middle · return+0.3±2.2±0.0+0.3
BH to their backhand · rally+0.6±2.4+0.6±0.0
FH to the middle · return+1.0±2.5−0.5+1.5

Against Brad Gilbert-like opponents

Tomas Machac vMatchesServe pts wonReturn pts won
All charted opponents–62.8%35.7%

Similar by tactical fingerprint: Radek Stepanek, Andy Roddick, Ivan Ljubicic, Mario Ancic, Jonas Bjorkman, Jiri Novak, Mark Philippoussis, Yevgeny Kafelnikov, Cedric Pioline, Boris Becker. When two players have rarely met, their records against these lookalikes fill the gap.