RallyIQ

Game plan

Brad Gilbert v Jiri Novak

Every number combines what Brad Gilbert does well with what Jiri Novak allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Brad Gilbert wins, best of 3 27%90%: 5%–67% · best of 5: 22%
Serve points won 61.9% / 66.9% Brad / Jiri · tour 65.7%
Strengths only, no similarity priors 27%serve 61.9% / 66.9%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerBradJiri
Direction choice+0.13 ±0.18
better than 86%
−0.07 ±0.09
better than 40%
Shot selection+0.20 ±0.28
better than 72%
−0.11 ±0.18
better than 39%
Execution−0.12 ±0.50
better than 63%
−0.16 ±0.53
better than 59%
Points left on the table3.65 ±0.41
lower than 6%
2.47 ±0.19
lower than 65%

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.

Brad Gilbert serving

Deuce court

1st serveNowBrad winsv JiriMatchupOptimal
Wide52%66%74%67.3%±8.565% ▲
Body7%65%67%69.0%±14.40% ▼
T41%69%77%71.2%±9.735% ▼

Optimal v Jiri Novak: +0.4±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowBrad winsv JiriMatchupOptimal
Wide47%66%74%67.1%±9.260% ▲
Body7%53%64%54.3%±17.00% ▼
T46%65%68%60.4%±10.440% ▼

Optimal v Jiri Novak: ±0.0±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.0 per 100 first serves in before the returner adjusts.

Jiri Novak serving

Deuce court

1st serveNowJiri winsv BradMatchupOptimal
Wide57%66%71%64.0%±9.751% ▼
Body8%62%75%73.3%±12.50% ▼
T36%65%76%66.2%±9.649% ▲

Optimal v Brad Gilbert: +0.3±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +7.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJiri winsv BradMatchupOptimal
Wide45%71%72%70.8%±8.845%
Body14%59%55%51.6%±14.71% ▼
T41%63%73%64.5%±11.054% ▲

Optimal v Brad Gilbert: +0.7±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.2 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.

Brad Gilbert returning

1st serve to the forehand

ReturnNowTourOwnv JiriValue
FH through the middle41%+4.3+0.3−1.3+3.3±2.9
FH crosscourt39%+5.5+2.6+1.4+9.5±4.4
FH down the line20%+1.7−1.4+1.6+1.8±4.3

Lean FH crosscourt: +4.1±3.1 per 100 returns v the current mix (90 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JiriValue
BH through the middle31%+6.4−1.0−2.2+3.2±2.8
BH crosscourt19%+8.8+0.8+1.3+10.9±3.6
BH slice crosscourt17%+0.5+2.0+2.8+5.4±3.0
BH slice through the middle16%−4.2−1.5+1.3−4.5±2.4
BH down the line12%+4.2−0.2−0.4+3.6±4.2

Lean BH crosscourt: +7.6±3.1 per 100 returns v the current mix (193 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv JiriValue
BH through the middle30%−2.9+0.3−0.8−3.4±2.4
BH slice through the middle17%−11.3+0.3+0.7−10.3±2.2
BH slice crosscourt16%−4.0+0.1+1.5−2.3±2.3
FH through the middle11%−2.9−0.9+1.1−2.7±2.1
BH crosscourt9%+1.0−1.0+0.2+0.2±2.7

Lean BH through the middle: −0.1±1.9 per 100 returns v the current mix (64 returns charted, inside the 90% margin)

Jiri Novak returning

1st serve to the forehand

ReturnNowTourOwnv BradValue
FH through the middle51%+4.3+0.4+2.6+7.3±2.9
FH down the line35%+1.7+2.0+0.8+4.4±4.4
FH crosscourt14%+5.5+1.4−2.5+4.5±4.2

Lean FH through the middle: +1.4±2.2 per 100 returns v the current mix (228 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv BradValue
BH through the middle31%+6.4+0.5−0.3+6.6±2.9
BH crosscourt19%+8.8+0.9+3.4+13.0±3.5
BH slice through the middle19%−4.2+0.4+2.6−1.2±2.5
BH slice crosscourt15%+0.5−0.3+0.9+1.1±2.9
BH down the line9%+4.2+0.2−2.6+1.8±4.2

Lean BH crosscourt: +8.8±3.0 per 100 returns v the current mix (216 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv BradValue
FH through the middle48%−3.5+1.0+2.5±0.0±2.9
FH down the line34%−1.8−0.6+1.6−0.8±4.7
FH crosscourt17%−0.2+1.0+1.0+1.8±4.1

Lean FH crosscourt: +1.8±4.0 per 100 returns v the current mix (87 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv BradValue
BH crosscourt41%+1.0−0.1+3.3+4.2±3.1
BH through the middle38%−2.9+0.2+0.1−2.5±2.3
BH down the line15%−0.2−0.3+1.1+0.6±3.9
BH slice crosscourt3%−4.0−0.6+1.3−3.3±2.1
BH slice through the middle3%−11.3+0.3+1.6−9.3±1.7

Lean BH crosscourt: +3.8±2.1 per 100 returns v the current mix (165 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 grass. Each player's grass record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Brad Gilbert

Favour

ShotEdgeOwnTheirs
BH slice to their backhand · rally+5.3±2.5+2.7+2.7
FH to their forehand · return+4.4±4.6+3.7+0.8
FH to their forehand · rally+4.1±4.1+2.8+1.3
BH slice to the middle · rally+4.1±2.3+2.6+1.5
BH to their backhand · return+3.1±3.4+2.5+0.6
BH to their backhand · rally+0.7±2.7+0.6+0.1

Avoid

ShotEdgeOwnTheirs
FH to the middle · rally−1.6±2.4+0.3−2.0
BH to the middle · return−1.0±3.1±0.0−1.0
BH to the middle · rally−0.8±2.3−0.3−0.5
FH to the middle · return−0.6±2.7−0.5−0.2
FH to their backhand · serve +1−0.3±3.7−0.8+0.5

Jiri Novak

Favour

ShotEdgeOwnTheirs
FH to the middle · return+3.8±2.5+0.4+3.4
FH to their backhand · rally+3.0±3.9−0.3+3.3
FH to their backhand · return+2.1±4.7+0.5+1.6
BH to the middle · return+1.8±2.6+0.4+1.3
BH to their backhand · rally+1.4±2.5−1.5+2.8
FH to their forehand · return+0.5±4.7+2.0−1.4

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return +1−0.3±3.4−0.7+0.4
FH to their forehand · rally±0.0±3.2−0.2+0.2
FH to their forehand · return+0.5±4.7+2.0−1.4
BH to their backhand · rally+1.4±2.5−1.5+2.8
BH to the middle · return+1.8±2.6+0.4+1.3

Against Jiri Novak-like opponents

Brad Gilbert vMatchesServe pts wonReturn pts won
All charted opponents–55.4%33.6%

Similar by tactical fingerprint: Valentin Vacherot, Karen Khachanov, Richard Gasquet, Karue Sell, Andy Murray, Jarkko Nieminen, Thomas Johansson, Yevgeny Kafelnikov, Magnus Norman. When two players have rarely met, their records against these lookalikes fill the gap.