RallyIQ

Game plan

Taylor Fritz v Brandon Nakashima

Every number combines what Taylor Fritz does well with what Brandon Nakashima allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Taylor Fritz wins, best of 3 88%90%: 68%–97% · best of 5: 93%
Serve points won 72.6% / 62.7% Taylor / Brandon · tour 61.5%
Strengths only, no similarity priors 89%serve 72.5% / 62.1%

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 Taylor Fritz's record against Brandon Nakashima's tactical lookalikes and in their charted head-to-heads (lookalikes: +0.7 on serve, −1.9 on return vs expectation (916 points); head-to-head: −1.0 on serve, −0.8 on return vs expectation (241 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

CareerTaylorBrandon
Direction choice+0.03 ±0.04
better than 64%
−0.01 ±0.07
better than 54%
Shot selection−0.11 ±0.06
better than 38%
−0.11 ±0.14
better than 38%
Execution+0.66 ±0.27
better than 88%
+0.79 ±0.43
better than 91%
Points left on the table2.35 ±0.06
lower than 78%
2.50 ±0.10
lower than 60%

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: Taylor Fritz +0.76, Brandon Nakashima +0.56. 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.

Taylor Fritz serving

Deuce court

1st serveNowTaylor winsv BrandonMatchupOptimal
Wide48%76%74%77.7%±3.138% ▼
Body3%66%66%68.5%±9.10% ▼
T49%82%79%84.9%±2.762% ▲

Optimal v Brandon Nakashima: +0.5±0.4 per 100 first serves (faults included) over the current mix. Serving T every time would read +4.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowTaylor winsv BrandonMatchupOptimal
Wide52%80%75%81.8%±3.142% ▼
Body4%62%67%65.8%±8.80% ▼
T45%76%74%77.8%±3.358% ▲

Optimal v Brandon Nakashima: +0.5±0.5 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.

Brandon Nakashima serving

Deuce court

1st serveNowBrandon winsv TaylorMatchupOptimal
Wide52%73%74%73.7%±3.344% ▼
Body5%64%63%64.0%±8.80% ▼
T43%78%77%79.7%±3.256% ▲

Optimal v Taylor Fritz: +0.4±0.5 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowBrandon winsv TaylorMatchupOptimal
Wide54%72%76%76.0%±3.467% ▲
Body9%69%63%69.5%±7.40% ▼
T37%72%74%73.5%±3.833% ▼

Optimal v Taylor Fritz: +0.7±0.6 per 100 first serves (faults included) over the current mix. Serving wide every time would read +1.5 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.

Taylor Fritz returning

1st serve to the forehand

ReturnNowTourOwnv BrandonValue
FH through the middle46%+4.3+1.3+1.7+7.2±1.6
FH down the line22%+1.7+0.4−1.2+0.9±3.3
FH slice through the middle12%−4.2+0.1−0.4−4.5±2.0
FH crosscourt10%+5.5+1.8+3.4+10.7±3.5
FH slice down the line7%−4.3+0.4+0.5−3.4±2.9

Lean FH crosscourt: +6.9±3.3 per 100 returns v the current mix (2456 returns charted)

1st serve to the backhand

ReturnNowTourOwnv BrandonValue
BH through the middle47%+6.4+2.1−0.3+8.2±1.6
BH crosscourt29%+8.8−1.8+0.4+7.4±2.4
BH down the line9%+4.2+1.7−0.3+5.6±4.0
BH slice through the middle9%−4.2−2.5+0.4−6.3±2.2
BH slice crosscourt3%+0.5−3.9+2.1−1.3±3.0

Lean BH through the middle: +2.7±1.2 per 100 returns v the current mix (2022 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv BrandonValue
FH through the middle51%−3.5−0.7−1.0−5.2±2.1
FH down the line25%−1.8−3.4+1.7−3.5±4.3
FH crosscourt14%−0.2+1.8+1.5+3.0±4.2
FH slice through the middle4%−12.7−1.6+0.2−14.0±2.1
FH slice down the line3%−9.4+1.8−0.3−8.0±2.5

Lean FH crosscourt: +7.0±3.9 per 100 returns v the current mix (707 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv BrandonValue
BH through the middle42%−2.9+0.8+2.3+0.2±1.6
BH crosscourt34%+1.0−0.8−0.2+0.1±2.2
BH down the line13%−0.2−1.3+1.4±0.0±4.3
FH through the middle6%−2.9+0.2−1.0−3.6±2.2
FH inside-in3%+0.6−0.5+1.5+1.5±4.3

Lean FH inside-in: +1.6±4.3 per 100 returns v the current mix (1417 returns charted, inside the 90% margin)

Brandon Nakashima returning

1st serve to the forehand

ReturnNowTourOwnv TaylorValue
FH through the middle48%+4.3−1.1−0.6+2.5±1.7
FH down the line19%+1.7−1.5−0.9−0.7±3.5
FH slice through the middle14%−4.2+1.0±0.0−3.2±1.8
FH crosscourt11%+5.5+0.6−0.6+5.5±3.7
FH slice down the line4%−4.3+0.9+1.3−2.1±3.0

Lean FH crosscourt: +4.5±3.5 per 100 returns v the current mix (771 returns charted)

1st serve to the backhand

ReturnNowTourOwnv TaylorValue
BH through the middle38%+6.4+0.2+0.6+7.3±1.8
BH crosscourt29%+8.8+1.2−0.5+9.5±2.7
BH slice through the middle12%−4.2+0.1−0.3−4.3±2.1
BH down the line10%+4.2−1.3−4.5−1.6±4.2
BH slice crosscourt8%+0.5−3.1−1.8−4.4±2.7

Lean BH crosscourt: +5.3±2.1 per 100 returns v the current mix (648 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv TaylorValue
FH through the middle62%−3.5−1.0+0.4−4.1±2.1
FH crosscourt21%−0.2+3.2−1.1+1.9±3.9
FH down the line17%−1.8−0.7−1.6−4.0±4.0

Lean FH crosscourt: +4.8±3.4 per 100 returns v the current mix (228 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv TaylorValue
BH through the middle50%−2.9−0.6+0.8−2.7±1.7
BH crosscourt34%+1.0+1.9−0.9+2.1±2.4
BH down the line11%−0.2+0.7−0.4+0.1±4.4
BH slice through the middle4%−11.3−1.2−0.4−12.9±2.3
BH slice crosscourt2%−4.0−0.1−0.1−4.2±2.2

Lean BH crosscourt: +3.2±1.8 per 100 returns v the current mix (387 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 clay. Each player's clay record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Taylor Fritz

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+7.3±4.9+3.9+3.5
FH to their forehand · serve +1+7.2±4.2+0.3+6.9
FH to their forehand · return +1+5.8±4.6+0.3+5.5
FH to their backhand · serve +1+3.8±3.7+0.6+3.2
BH to their backhand · serve +1+3.1±3.5±0.0+3.1
FH to the middle · return+2.8±2.6+1.3+1.5

Avoid

ShotEdgeOwnTheirs
FH volley to their backhand · rally−13.9±8.0−6.4−7.5
BH slice to the middle · rally−6.6±2.9−5.2−1.4
BH volley to their forehand · rally−6.3±6.7−8.4+2.2
FH slice to the middle · rally−4.1±3.6−2.4−1.8
BH slice to their backhand · rally−3.7±3.4−4.3+0.6

Brandon Nakashima

Favour

ShotEdgeOwnTheirs
BH to their forehand · serve +1+9.5±5.1+0.7+8.8
FH to their forehand · return +1+5.7±4.8+3.7+1.9
FH to their forehand · return+4.9±5.2+3.7+1.2
BH to the middle · serve +1+3.4±2.9+3.3+0.1
BH slice to their forehand · rally+3.1±4.5+1.6+1.6
BH to their forehand · return +1+3.0±6.2+3.7−0.7

Avoid

ShotEdgeOwnTheirs
BH volley to their forehand · rally−6.2±8.2−1.2−5.0
FH to their backhand · return−5.0±4.3−3.7−1.3
BH to their forehand · rally−4.5±4.7−8.0+3.5
BH to the middle · return−4.3±2.5−3.1−1.1
BH slice to the middle · rally−3.8±2.7−1.8−2.0

Against Brandon Nakashima-like opponents

Taylor Fritz vMatchesServe pts wonReturn pts won
All charted opponents–68.5%34.5%
Players most similar to Brandon Nakashima5 68.6%31.8%
Brandon Nakashima (charted head-to-head)1 69.0%35.2%

Similar by tactical fingerprint: Casper Ruud, Karen Khachanov, Marcos Giron, Jaume Munar, Roberto Bautista Agut, Pablo Carreno Busta, Rinky Hijikata, Gregoire Barrere, Tennys Sandgren. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head