RallyIQ

Game plan

Brandon Nakashima v Tomas Machac

Every number combines what Brandon Nakashima 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

Brandon Nakashima wins, best of 3 40%90%: 17%–68% · best of 5: 38%
Serve points won 63.3% / 65.2% Brandon / Tomas · tour 63.5%
Strengths only, no similarity priors 38%serve 62.9% / 65.4%

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. Both were charted enough in the last three seasons, so those carry the most weight. The result is then nudged by Brandon Nakashima's record against Tomas Machac's tactical lookalikes and in their charted head-to-heads (lookalikes: +7.3 on serve, +2.4 on return vs expectation (175 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

CareerBrandonTomas
Direction choice−0.01 ±0.07
better than 54%
+0.12 ±0.07
better than 83%
Shot selection−0.11 ±0.14
better than 38%
+0.08 ±0.15
better than 63%
Execution+0.79 ±0.43
better than 91%
+0.15 ±0.51
better than 75%
Points left on the table2.50 ±0.10
lower than 60%
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.

Structural compatibility

Expected edge per 100 rally shots from style alone: Brandon Nakashima +1.34, Tomas Machac +1.16. Each player's shot mix weighted by their own skill with each shot and by how much the other gives up against it. This is why some rankings gaps don't hold in a given matchup.

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.

Brandon Nakashima serving

Deuce court

1st serveNowBrandon winsv TomasMatchupOptimal
Wide52%73%74%73.8%±4.644% ▼
Body5%64%66%66.0%±11.20% ▼
T43%78%78%80.5%±4.156% ▲

Optimal v Tomas Machac: +0.4±0.6 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowBrandon winsv TomasMatchupOptimal
Wide54%72%71%70.1%±4.967% ▲
Body9%69%60%66.6%±11.30% ▼
T37%72%68%67.5%±5.933% ▼

Optimal v Tomas Machac: +0.4±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.3 per 100 first serves in before the returner adjusts.

Tomas Machac serving

Deuce court

1st serveNowTomas winsv BrandonMatchupOptimal
Wide44%67%74%68.3%±5.038% ▼
Body6%62%66%65.0%±10.70% ▼
T49%74%79%77.6%±4.462% ▲

Optimal v Brandon Nakashima: +1.1±0.6 per 100 first serves (faults included) over the current mix. Serving T every time would read +5.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowTomas winsv BrandonMatchupOptimal
Wide46%70%75%71.9%±5.241% ▼
Body8%64%67%67.8%±9.60% ▼
T46%72%74%74.0%±4.759% ▲

Optimal v Brandon Nakashima: +0.6±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.4 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.

Brandon Nakashima returning

1st serve to the forehand

ReturnNowTourOwnv TomasValue
FH through the middle48%+4.3−1.1+1.3+4.4±2.1
FH down the line19%+1.7−1.5+2.9+3.0±4.1
FH slice through the middle14%−4.2+1.0−0.2−3.4±2.3
FH crosscourt11%+5.5+0.6+4.9+11.0±4.2
FH slice down the line4%−4.3+0.9+1.8−1.7±3.0

Lean FH crosscourt: +7.7±3.9 per 100 returns v the current mix (771 returns charted)

1st serve to the backhand

ReturnNowTourOwnv TomasValue
BH through the middle38%+6.4+0.2+1.8+8.4±2.1
BH crosscourt29%+8.8+1.2+2.2+12.2±3.1
BH slice through the middle12%−4.2+0.1±0.0−4.0±2.4
BH down the line10%+4.2−1.3±0.0+3.0±4.6
BH slice crosscourt8%+0.5−3.1+0.3−2.2±3.0

Lean BH crosscourt: +6.1±2.4 per 100 returns v the current mix (648 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv TomasValue
FH through the middle62%−3.5−1.0+1.0−3.5±2.6
FH crosscourt21%−0.2+3.2+1.6+4.6±4.2
FH down the line17%−1.8−0.7+2.2−0.2±4.7

Lean FH crosscourt: +5.9±3.8 per 100 returns v the current mix (228 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv TomasValue
BH through the middle50%−2.9−0.6−1.2−4.7±2.0
BH crosscourt34%+1.0+1.9+1.4+4.4±2.8
BH down the line11%−0.2+0.7+2.0+2.5±5.0
BH slice through the middle4%−11.3−1.2±0.0−12.5±1.5
BH slice crosscourt2%−4.0−0.1±0.0−4.1±1.2

Lean BH crosscourt: +5.5±2.2 per 100 returns v the current mix (387 returns charted)

Tomas Machac returning

1st serve to the forehand

ReturnNowTourOwnv BrandonValue
FH through the middle48%+4.3+2.7+1.7+8.6±2.2
FH down the line27%+1.7+1.7−1.2+2.3±4.0
FH crosscourt17%+5.5+3.2+3.4+12.1±4.0
FH slice through the middle6%−4.2−1.2−0.4−5.8±2.3
FH slice down the line3%−4.3+1.3+0.5−2.5±2.9

Lean FH crosscourt: +5.7±3.6 per 100 returns v the current mix (465 returns charted)

1st serve to the backhand

ReturnNowTourOwnv BrandonValue
BH through the middle37%+6.4+1.1−0.3+7.2±2.2
BH crosscourt31%+8.8+3.1+0.4+12.3±2.9
BH slice through the middle13%−4.2+2.1+0.4−1.7±2.4
BH down the line9%+4.2+2.2−0.3+6.0±4.4
BH slice crosscourt6%+0.5−0.5+2.1+2.1±3.0

Lean BH crosscourt: +5.8±2.3 per 100 returns v the current mix (508 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv BrandonValue
FH through the middle39%−3.5+1.7−1.0−2.8±2.6
FH down the line33%−1.8−0.2+1.7−0.3±4.7
FH crosscourt24%−0.2+2.3+1.5+3.6±4.3
FH slice through the middle4%−12.7−0.5+0.2−12.9±1.6

Lean FH crosscourt: +4.4±3.7 per 100 returns v the current mix (163 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv BrandonValue
BH crosscourt51%+1.0+1.0−0.2+1.9±2.6
BH through the middle37%−2.9+0.5+2.3−0.1±2.1
BH down the line9%−0.2−1.1+1.4+0.1±4.7
FH through the middle3%−2.9+0.4−1.0−3.4±1.9

Lean BH crosscourt: +1.1±1.6 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.

Brandon Nakashima

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+6.7±2.5+3.2+3.5
FH to their forehand · serve +1+5.5±2.8+4.0+1.5
BH to the middle · serve +1+5.4±2.1+3.0+2.4
FH to their forehand · return+4.6±3.8+1.3+3.2
BH to their forehand · return+2.5±4.0+1.2+1.3
FH to their forehand · rally+2.2±2.0+0.9+1.3

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return +1−2.0±3.4+1.0−3.0
FH to their backhand · rally−1.0±2.0−0.4−0.6
BH slice to the middle · rally−0.9±2.1−0.7−0.2
BH to their backhand · rally−0.2±1.5−0.3±0.0
BH slice to the middle · return±0.0±2.4−0.6+0.6

Tomas Machac

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+8.0±3.7+4.9+3.1
FH to the middle · return+3.7±1.8+2.8+0.9
FH to the middle · return +1+3.6±2.5+1.4+2.2
BH slice to the middle · return+3.1±2.4+2.2+0.8
BH to the middle · serve +1+3.0±2.2+0.8+2.2
BH to the middle · return +1+3.0±2.2+1.4+1.6

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−1.5±2.0−1.1−0.4
FH to their backhand · serve +1−1.2±2.4−2.6+1.4
BH volley to their forehand · rally−1.0±6.0−3.2+2.2
BH slice to their backhand · rally−0.1±2.3−0.8+0.7
FH to their forehand · rally−0.1±2.0−0.8+0.7

Against Tomas Machac-like opponents

Brandon Nakashima vMatchesServe pts wonReturn pts won
All charted opponents–65.5%32.8%
Players most similar to Tomas Machac1 70.7%40.0%

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.