RallyIQ

Game plan

Jiri Novak v Mats Wilander

Every number combines what Jiri Novak 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

Jiri Novak wins, best of 3 46%90%: 15%–79% · best of 5: 45%
Serve points won 65.7% / 66.6% Jiri / Mats · tour 65.7%
Strengths only, no similarity priors 44%serve 65.6% / 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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Jiri Novak's record against Mats Wilander's tactical lookalikes and in their charted head-to-heads (lookalikes: +3.7 on serve, +8.2 on return vs expectation (106 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

CareerJiriMats
Direction choice−0.07 ±0.09
better than 40%
−0.43 ±0.17
better than 1%
Shot selection−0.11 ±0.18
better than 39%
−0.44 ±0.23
better than 14%
Execution−0.16 ±0.53
better than 59%
+1.61 ±0.32
better than 99%
Points left on the table2.47 ±0.19
lower than 65%
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.

Jiri Novak serving

Deuce court

1st serveNowJiri winsv MatsMatchupOptimal
Wide57%66%72%64.6%±6.470% ▲
Body8%62%58%56.3%±12.26% ▼
T36%65%69%59.1%±8.024% ▼

Optimal v Mats Wilander: +0.5±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJiri winsv MatsMatchupOptimal
Wide45%71%69%67.2%±7.332% ▼
Body14%59%57%53.3%±12.114%
T41%63%72%63.8%±7.754% ▲

Optimal v Mats Wilander: +0.4±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.3 per 100 first serves in before the returner adjusts.

Mats Wilander serving

Deuce court

1st serveNowMats winsv JiriMatchupOptimal
Wide46%61%74%62.1%±6.833% ▼
Body16%60%67%64.2%±11.216%
T38%68%77%70.1%±7.851% ▲

Optimal v Jiri Novak: ±0.0±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMats winsv JiriMatchupOptimal
Wide48%64%74%65.0%±6.848%
Body14%57%64%58.8%±13.41% ▼
T38%64%68%59.3%±8.351% ▲

Optimal v Jiri Novak: +0.4±1.0 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.

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.

Jiri Novak returning

1st serve to the forehand

ReturnNowTourOwnv MatsValue
FH through the middle51%+4.3+0.4+2.2+6.9±2.4
FH down the line35%+1.7+2.0+4.8+8.4±4.0
FH crosscourt14%+5.5+1.4+4.3+11.3±4.0

Lean FH crosscourt: +3.3±3.9 per 100 returns v the current mix (228 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv MatsValue
BH through the middle31%+6.4+0.5−0.9+6.0±2.5
BH crosscourt19%+8.8+0.9+2.3+12.0±3.3
BH slice through the middle19%−4.2+0.4+2.3−1.5±2.1
BH slice crosscourt15%+0.5−0.3+2.8+3.0±2.8
BH down the line9%+4.2+0.2+1.3+5.7±4.3

Lean BH crosscourt: +7.4±2.9 per 100 returns v the current mix (216 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MatsValue
FH through the middle48%−3.5+1.0+0.5−1.9±2.7
FH down the line34%−1.8−0.6+3.8+1.4±4.3
FH crosscourt17%−0.2+1.0+5.8+6.6±3.8

Lean FH crosscourt: +5.9±3.7 per 100 returns v the current mix (87 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MatsValue
BH crosscourt41%+1.0−0.1+1.9+2.9±3.3
BH through the middle38%−2.9+0.2+1.9−0.8±2.5
BH down the line15%−0.2−0.3+0.7+0.1±4.9
BH slice crosscourt3%−4.0−0.6+2.7−1.9±2.0
BH slice through the middle3%−11.3+0.3+4.4−6.5±1.9

Lean BH crosscourt: +2.2±2.3 per 100 returns v the current mix (165 returns charted, inside the 90% margin)

Mats Wilander returning

1st serve to the forehand

ReturnNowTourOwnv JiriValue
FH through the middle45%+4.3+1.5−1.3+4.5±2.5
FH down the line22%+1.7+2.2+1.6+5.4±4.3
FH crosscourt14%+5.5−0.9+1.4+6.0±4.4
FH slice through the middle12%−4.2+1.7+3.0+0.5±2.3
FH slice down the line4%−4.3+1.5+0.1−2.6±2.9

Lean FH crosscourt: +1.9±4.0 per 100 returns v the current mix (605 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv JiriValue
BH through the middle38%+6.4+0.8−2.2+5.0±2.5
BH crosscourt17%+8.8+1.5+1.3+11.6±3.5
BH slice through the middle16%−4.2+0.8+1.3−2.2±2.4
BH down the line15%+4.2+5.3−0.4+9.2±4.3
BH slice crosscourt8%+0.5+2.4+2.8+5.7±3.1

Lean BH crosscourt: +6.2±3.1 per 100 returns v the current mix (673 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JiriValue
FH through the middle47%−3.5+3.3+1.1+0.9±2.8
FH crosscourt27%−0.2+1.0−1.1−0.3±4.3
FH down the line17%−1.8+5.2−0.9+2.4±4.7
BH through the middle6%+0.1+1.2−0.8+0.4±2.0
BH inside-in4%+2.5+0.6+0.2+3.3±3.2

Lean FH down the line: +1.5±4.3 per 100 returns v the current mix (272 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv JiriValue
BH through the middle41%−2.9+1.7−0.8−2.0±2.3
BH crosscourt36%+1.0+2.8+0.2+4.0±3.0
BH down the line17%−0.2+2.5−3.6−1.4±4.6
FH through the middle3%−2.9+0.9+1.1−0.9±2.3
FH inside-in2%+0.6+0.8−1.1+0.3±3.7

Lean BH crosscourt: +3.7±2.3 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 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.

Jiri Novak

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+8.6±5.3+2.0+6.6
BH to their backhand · return+7.4±4.2+0.6+6.9
BH to their backhand · return +1+6.8±4.2−0.7+7.5
FH to the middle · return+3.6±2.9+0.4+3.2
FH to their backhand · return+2.4±5.4+0.5+1.9
BH to their forehand · rally+2.0±4.5−0.4+2.4

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−3.6±3.5−1.5−2.1
FH to the middle · rally−2.8±2.7−1.3−1.5
FH to their backhand · return +1−2.6±5.0−0.6−2.0
BH to the middle · rally−2.5±2.4−2.7+0.2
BH to their backhand · serve +1−2.2±3.6−2.9+0.7

Mats Wilander

Favour

ShotEdgeOwnTheirs
BH slice to the middle · rally+5.9±2.4+4.4+1.5
BH slice to their backhand · return+5.9±2.9+3.2+2.7
BH to their backhand · return+5.8±4.1+5.2+0.6
FH slice to the middle · return+5.3±2.4+2.4+2.9
FH to their backhand · return +1+4.7±5.0+7.1−2.4
FH to the middle · return +1+4.4±3.3+2.0+2.4

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−3.3±4.7−1.3−2.0
BH to the middle · rally−2.8±2.5−2.3−0.5
BH to their backhand · rally−2.0±2.9−2.1+0.1
BH to the middle · return +1−1.7±3.0−2.7+1.0
BH to their backhand · return +1−1.3±4.2−1.5+0.2

Against Mats Wilander-like opponents

Jiri Novak vMatchesServe pts wonReturn pts won
All charted opponents–60.8%35.8%
Players most similar to Mats Wilander1 68.0%50.0%

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