RallyIQ

Game plan

Mikael Pernfors v Tomas Machac

Every number combines what Mikael Pernfors does well with what Tomas Machac allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Mikael Pernfors wins, best of 3 42%90%: 16%–73% · best of 5: 41%
Serve points won 58.8% / 60.3% Mikael / Tomas · tour 63.4%
Strengths only, no similarity priors 42%serve 58.8% / 60.3%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerMikaelTomas
Direction choice−0.40 ±0.19
better than 2%
+0.12 ±0.07
better than 83%
Shot selection−0.96 ±0.70
better than 3%
+0.08 ±0.15
better than 63%
Execution+1.77 ±1.03
better than 99%
+0.15 ±0.51
better than 75%
Points left on the table3.13 ±0.32
lower than 14%
2.35 ±0.10
lower than 79%

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.

Mikael Pernfors serving

Deuce court

1st serveNowMikael winsv TomasMatchupOptimal
Wide38%60%74%61.4%±8.438%
Body18%58%66%60.6%±12.95% ▼
T44%70%78%73.6%±7.757% ▲

Optimal v Tomas Machac: +0.5±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +7.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMikael winsv TomasMatchupOptimal
Wide53%60%71%57.0%±8.667% ▲
Body14%61%60%57.9%±14.61% ▼
T33%74%68%69.8%±9.232%

Optimal v Tomas Machac: +0.5±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +8.5 per 100 first serves in before the returner adjusts.

Tomas Machac serving

Deuce court

1st serveNowTomas winsv MikaelMatchupOptimal
Wide44%67%65%58.4%±9.131% ▼
Body6%62%61%59.9%±13.27%
T49%74%65%63.5%±8.362% ▲

Optimal v Mikael Pernfors: +0.7±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowTomas winsv MikaelMatchupOptimal
Wide46%70%62%57.7%±8.233% ▼
Body8%64%57%57.3%±14.18%
T46%72%71%70.3%±9.159% ▲

Optimal v Mikael Pernfors: +0.8±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.8 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.

Mikael Pernfors returning

1st serve to the forehand

ReturnNowTourOwnv TomasValue
FH through the middle33%+4.3+0.4+1.3+5.9±2.7
FH slice through the middle26%−4.2−2.2−0.2−6.6±2.3
FH down the line22%+1.7+2.7+2.9+7.2±4.2
FH crosscourt14%+5.5+3.5+4.9+13.9±3.9
FH slice crosscourt5%−4.3+0.5+1.9−2.0±2.2

Lean FH down the line: +3.7±3.5 per 100 returns v the current mix (102 returns charted)

1st serve to the backhand

ReturnNowTourOwnv TomasValue
BH through the middle54%+6.4+0.5+1.8+8.7±2.4
BH down the line20%+4.2+1.1±0.0+5.4±4.6
BH crosscourt19%+8.8+1.9+2.2+12.9±3.4
BH slice through the middle6%−4.2±0.0±0.0−4.2±2.2

Lean BH crosscourt: +4.9±3.2 per 100 returns v the current mix (186 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv TomasValue
BH through the middle44%−2.9+0.5−1.2−3.5±2.3
BH crosscourt21%+1.0+0.4+1.4+2.8±2.9
BH down the line18%−0.2+3.3+2.0+5.1±4.9
FH through the middle9%−2.9+1.0+1.0−0.9±2.1
FH inside-in5%+0.6+0.6+1.6+2.8±3.5

Lean BH down the line: +5.4±4.2 per 100 returns v the current mix (149 returns charted)

Tomas Machac returning

1st serve to the forehand

ReturnNowTourOwnv MikaelValue
FH through the middle48%+4.3+2.7+1.2+8.1±2.7
FH down the line27%+1.7+1.7+3.1+6.5±4.3
FH crosscourt17%+5.5+3.2−0.9+7.8±4.3
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: +1.6±2.0 per 100 returns v the current mix (465 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv MikaelValue
BH through the middle37%+6.4+1.1+0.5+7.9±2.6
BH crosscourt31%+8.8+3.1−0.2+11.7±3.4
BH slice through the middle13%−4.2+2.1+1.3−0.8±2.4
BH down the line9%+4.2+2.2+2.2+8.6±4.4
BH slice crosscourt6%+0.5−0.5+0.8+0.8±2.8

Lean BH crosscourt: +4.9±2.6 per 100 returns v the current mix (508 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MikaelValue
FH through the middle39%−3.5+1.7+2.0+0.2±2.9
FH down the line33%−1.8−0.2+2.6+0.6±4.7
FH crosscourt24%−0.2+2.3+2.6+4.7±4.4
FH slice through the middle4%−12.7−0.5±0.0−13.2±1.1

Lean FH crosscourt: +3.8±3.9 per 100 returns v the current mix (163 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv MikaelValue
BH crosscourt51%+1.0+1.0±0.0+2.1±3.0
BH through the middle37%−2.9+0.5+1.5−0.9±2.5
BH down the line9%−0.2−1.1+1.7+0.4±4.9
FH through the middle3%−2.9+0.4+2.0−0.5±2.1

Lean BH crosscourt: +1.3±1.8 per 100 returns v the current mix (339 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.

Mikael Pernfors

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+8.9±3.8+5.5+3.4
BH slice to the middle · rally+4.8±2.2+5.0−0.2
BH to their forehand · return+4.4±4.4+3.1+1.3
FH to their backhand · serve +1+4.1±3.3+0.7+3.5
BH to their forehand · rally+3.3±3.7±0.0+3.3
BH to their backhand · return+3.3±2.9+1.6+1.7

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−0.6±2.2−0.6±0.0
FH to their backhand · return +1−0.3±3.8+2.7−3.0
FH to their forehand · serve +1+0.4±3.6−1.0+1.5
FH to their forehand · rally+0.6±2.6−0.7+1.3
FH to the middle · rally+0.6±2.0+0.8−0.3

Tomas Machac

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+5.8±4.3+4.9+1.0
FH to the middle · return+4.6±2.4+2.8+1.8
FH to their backhand · return+4.1±3.7+0.2+3.9
BH to their forehand · rally+2.7±3.5+1.1+1.5
BH to the middle · return+2.6±2.2+1.2+1.3
BH to their backhand · return +1+2.4±3.1+0.2+2.1

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−4.6±3.7−2.3−2.4
FH to their forehand · rally−3.0±2.8−0.8−2.2
FH to their backhand · serve +1−2.8±3.2−2.6−0.2
FH to their backhand · rally−0.6±2.4−1.1+0.5
FH to their backhand · return +1−0.1±3.9±0.0−0.1

Against Tomas Machac-like opponents

Mikael Pernfors vMatchesServe pts wonReturn pts won
All charted opponents–58.5%42.2%

Similar by tactical fingerprint: Hubert Hurkacz, Sebastian Korda, Zhizhen Zhang, Karen Khachanov, Laslo Djere, Benjamin Bonzi, Fabio Fognini, Borna Coric, Kei Nishikori, Viktor Troicki. When two players have rarely met, their records against these lookalikes fill the gap.