RallyIQ

Game plan

Quentin Halys v Brandon Nakashima

Every number combines what Quentin Halys 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

Quentin Halys wins, best of 3 38%90%: 22%–58% · best of 5: 36%
Serve points won 69.9% / 72.4% Quentin / Brandon · tour 63.8%
Strengths only, no similarity priors 39%serve 69.9% / 72.3%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Quentin Halys's record against Brandon Nakashima's tactical lookalikes and in their charted head-to-heads (lookalikes: +6.5 on serve, −4.5 on return vs expectation (133 points); head-to-head: −7.7 on serve, +1.0 on return vs expectation (116 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

CareerQuentinBrandon
Direction choice+0.36 ±0.08
better than 99%
−0.01 ±0.07
better than 54%
Shot selection−0.28 ±0.29
better than 25%
−0.11 ±0.14
better than 38%
Execution+0.81 ±1.23
better than 92%
+0.79 ±0.43
better than 91%
Points left on the table2.16 ±0.23
lower than 96%
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.

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.

Quentin Halys serving

Deuce court

1st serveNowQuentin winsv BrandonMatchupOptimal
Wide51%79%74%80.2%±5.064% ▲
Body1%60%66%62.9%±15.00% ▼
T48%79%79%82.0%±5.336% ▼

Optimal v Brandon Nakashima: +0.3±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowQuentin winsv BrandonMatchupOptimal
Wide50%81%75%83.0%±5.838% ▼
Body2%63%67%66.8%±14.20% ▼
T48%76%74%78.3%±5.862% ▲

Optimal v Brandon Nakashima: +0.2±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.5 per 100 first serves in before the returner adjusts.

Brandon Nakashima serving

Deuce court

1st serveNowBrandon winsv QuentinMatchupOptimal
Wide52%73%82%81.6%±5.344% ▼
Body5%64%68%69.0%±12.50% ▼
T43%78%85%87.1%±4.556% ▲

Optimal v Quentin Halys: +0.6±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowBrandon winsv QuentinMatchupOptimal
Wide54%72%83%82.5%±5.267% ▲
Body9%69%57%64.1%±13.00% ▼
T37%72%81%81.0%±6.133% ▼

Optimal v Quentin Halys: +0.9±0.7 per 100 first serves (faults included) over the current mix. Serving wide every time would read +2.2 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.

Quentin Halys returning

1st serve to the forehand

ReturnNowTourOwnv BrandonValue
FH through the middle32%+4.3−1.1+1.7+4.8±2.6
FH crosscourt20%+5.5+3.2+3.4+12.1±4.0
FH slice through the middle19%−4.2+1.9−0.4−2.7±2.3
FH down the line14%+1.7+2.0−1.2+2.5±4.1
FH slice down the line8%−4.3+1.3+0.5−2.5±2.9

Lean FH crosscourt: +8.8±3.4 per 100 returns v the current mix (166 returns charted)

1st serve to the backhand

ReturnNowTourOwnv BrandonValue
BH crosscourt40%+8.8+2.5+0.4+11.7±3.2
BH through the middle30%+6.4−2.5−0.3+3.6±2.5
BH slice through the middle14%−4.2+0.8+0.4−3.0±2.4
BH slice crosscourt8%+0.5−0.2+2.1+2.5±2.8
BH down the line4%+4.2−1.2−0.3+2.6±3.7

Lean BH crosscourt: +6.5±2.1 per 100 returns v the current mix (177 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv BrandonValue
FH through the middle44%−3.5−1.6−1.0−6.1±2.5
FH crosscourt38%−0.2+1.8+1.5+3.1±4.0
FH down the line18%−1.8+0.3+1.7+0.3±4.1

Lean FH crosscourt: +4.6±2.8 per 100 returns v the current mix (50 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv BrandonValue
BH crosscourt58%+1.0−0.1−0.2+0.8±2.9
BH through the middle27%−2.9+0.6+2.3±0.0±2.2
BH down the line11%−0.2+1.5+1.4+2.7±4.2
FH through the middle4%−2.9+0.4−1.0−3.5±1.7

Lean BH crosscourt: +0.2±1.4 per 100 returns v the current mix (113 returns charted, inside the 90% margin)

Brandon Nakashima returning

1st serve to the forehand

ReturnNowTourOwnv QuentinValue
FH through the middle48%+4.3−1.1+2.4+5.6±2.6
FH down the line19%+1.7−1.5−0.4−0.3±4.3
FH slice through the middle14%−4.2+1.0+0.8−2.4±2.1
FH crosscourt11%+5.5+0.6+1.1+7.2±4.3
FH slice down the line4%−4.3+0.9+1.3−2.2±2.8

Lean FH crosscourt: +4.3±4.1 per 100 returns v the current mix (771 returns charted)

1st serve to the backhand

ReturnNowTourOwnv QuentinValue
BH through the middle38%+6.4+0.2+0.8+7.4±2.5
BH crosscourt29%+8.8+1.2−0.3+9.7±3.1
BH slice through the middle12%−4.2+0.1+1.1−3.0±2.4
BH down the line10%+4.2−1.3+0.4+3.3±4.1
BH slice crosscourt8%+0.5−3.1−1.0−3.6±2.8

Lean BH crosscourt: +4.7±2.5 per 100 returns v the current mix (648 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv QuentinValue
FH through the middle62%−3.5−1.0+2.8−1.7±2.7
FH crosscourt21%−0.2+3.2+0.3+3.3±4.2
FH down the line17%−1.8−0.7+0.2−2.2±4.7

Lean FH crosscourt: +4.1±3.8 per 100 returns v the current mix (228 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv QuentinValue
BH through the middle50%−2.9−0.6+0.9−2.6±2.2
BH crosscourt34%+1.0+1.9+2.3+5.3±3.1
BH down the line11%−0.2+0.7+2.8+3.3±4.8
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: +5.0±2.4 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 hard. Each player's hard record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Quentin Halys

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+7.5±5.7+5.6+2.0
FH to their forehand · serve +1+5.1±4.8+0.9+4.1
FH to their backhand · serve +1+3.8±4.2+3.5+0.3
FH to their backhand · rally+2.1±3.9+2.0+0.1
BH to their backhand · return+1.9±3.4+1.9±0.0
BH to their backhand · return +1+1.3±4.2−0.4+1.8

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−6.2±5.4−5.3−0.9
BH to the middle · return−2.3±2.9−2.9+0.6
FH to the middle · return−1.5±3.3−2.3+0.8
BH to their backhand · rally−1.3±3.0−2.0+0.7
FH to their forehand · rally−0.2±3.8+0.1−0.3

Brandon Nakashima

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+12.8±4.2+3.8+9.0
FH to their forehand · serve +1+11.7±4.8+4.5+7.2
FH to their backhand · rally+6.5±3.8−0.8+7.3
FH to their forehand · rally+6.1±3.9+0.9+5.2
BH to their backhand · return +1+6.0±4.5+1.1+4.9
BH to their backhand · serve +1+5.6±4.2−0.2+5.8

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−1.8±2.9−1.7−0.1
FH to their backhand · return−0.8±5.3−1.6+0.8
BH to their backhand · return+0.2±4.0+0.4−0.2
BH to the middle · return+1.2±2.7+0.5+0.8
FH to the middle · rally+2.3±3.1+0.7+1.6

Against Brandon Nakashima-like opponents

Quentin Halys vMatchesServe pts wonReturn pts won
All charted opponents–65.7%26.2%
Players most similar to Brandon Nakashima1 71.9%21.7%
Brandon Nakashima (charted head-to-head)1 58.9%31.7%

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

Charted head-to-head