Game plan

Rafael Nadal v Gijs Brouwer

Every number combines what Rafael Nadal does well with what Gijs Brouwer allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Rafael Nadal wins, best of 3 88%90%: 77%–95% · best of 5: 93%

Serve points won 68.3% / 58.8% Rafael / Gijs · tour 63.8%

Strengths only, no similarity priors 88%serve 68.2% / 58.8%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Rafael Nadal's record against Gijs Brouwer's tactical lookalikes and in their charted head-to-heads (lookalikes: +0.2 on serve, ±0.0 on return vs expectation (4655 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

Career	Rafael	Gijs
Direction choice	+0.02 ±0.03 better than 62%	+0.02 ±0.09 better than 62%
Shot selection	+0.38 ±0.05 better than 85%	−0.08 ±0.26 better than 42%
Execution	+1.32 ±0.10 better than 99%	−1.66 ±0.67 better than 7%
Points left on the table	2.66 ±0.04 lower than 43%	3.10 ±0.19 lower than 16%

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: Rafael Nadal +1.00, Gijs Brouwer −1.13. 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.

Rafael Nadal serving

Deuce court

1st serve	Now	Rafael wins	v Gijs	Matchup	Optimal
Wide	31%	75%	75%	76.4%±5.0	44% ▲
Body	18%	64%	59%	59.9%±8.6	5% ▼
T	51%	69%	69%	62.3%±6.5	51%

Optimal v Gijs Brouwer: +1.1±0.7 per 100 first serves (faults included) over the current mix. Serving wide every time would read +10.2 per 100 first serves in before the returner adjusts.

Ad court

1st serve	Now	Rafael wins	v Gijs	Matchup	Optimal
Wide	54%	71%	78%	77.0%±6.1	67% ▲
Body	18%	67%	70%	73.7%±7.6	5% ▼
T	28%	75%	73%	76.3%±5.1	28%

Optimal v Gijs Brouwer: +0.2±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +0.8 per 100 first serves in before the returner adjusts.

Gijs Brouwer serving

Deuce court

1st serve	Now	Gijs wins	v Rafael	Matchup	Optimal
Wide	30%	82%	66%	76.3%±6.7	44% ▲
Body	12%	57%	58%	52.1%±9.6	0% ▼
T	58%	69%	74%	68.3%±4.6	56% ▼

Optimal v Rafael Nadal: +1.0±0.8 per 100 first serves (faults included) over the current mix. Serving wide every time would read +7.5 per 100 first serves in before the returner adjusts.

Ad court

1st serve	Now	Gijs wins	v Rafael	Matchup	Optimal
Wide	60%	67%	71%	65.9%±4.9	73% ▲
Body	7%	68%	57%	61.9%±10.5	0% ▼
T	33%	71%	66%	64.8%±7.3	27% ▼

Optimal v Rafael Nadal: +0.5±0.6 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +0.7 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.

Rafael Nadal returning

1st serve to the forehand

Return	Now	Tour	Own	v Gijs	Value
FH through the middle	46%	+4.3	+0.4	±0.0	+4.7±2.1
FH crosscourt	31%	+5.5	+2.4	−1.3	+6.6±3.1
FH down the line	16%	+1.7	−0.8	−1.1	−0.2±3.5
FH slice through the middle	3%	−4.2	+0.1	+0.2	−3.9±2.1
FH slice crosscourt	2%	−4.3	+7.5	±0.0	+3.1±1.9
BH through the middle	0%	+6.6	+0.4	+0.7	+7.6±2.5

Lean BH through the middle: +3.5±2.9 per 100 returns v the current mix (5711 returns charted)

1st serve to the backhand

Return	Now	Tour	Own	v Gijs	Value
BH through the middle	38%	+6.4	−0.2	+0.7	+6.9±1.7
BH crosscourt	19%	+8.8	−1.2	−3.1	+4.5±2.6
BH slice through the middle	17%	−4.2	+2.1	+0.3	−1.8±1.8
BH down the line	15%	+4.2	+3.3	−2.7	+4.8±3.5
BH slice down the line	7%	−8.4	+5.7	−0.1	−2.8±2.3
FH through the middle	1%	+7.7	+2.5	±0.0	+10.2±2.5

Lean FH through the middle: +6.7±2.7 per 100 returns v the current mix (9039 returns charted)

2nd serve to the forehand

Return	Now	Tour	Own	v Gijs	Value
FH crosscourt	48%	−0.2	+0.7	−1.6	−1.1±2.8
FH through the middle	33%	−3.5	−2.6	±0.0	−6.1±2.3
FH down the line	17%	−1.8	+3.8	−2.7	−0.6±3.8
BH inside-out	1%	+0.9	+0.3	+0.6	+1.8±4.1
FH slice through the middle	1%	−12.7	−0.2	±0.0	−12.8±1.3

Lean FH down the line: +2.1±3.5 per 100 returns v the current mix (2037 returns charted, inside the 90% margin)

2nd serve to the backhand

Return	Now	Tour	Own	v Gijs	Value
BH through the middle	35%	−2.9	+2.0	−0.7	−1.6±1.8
BH crosscourt	28%	+1.0	−1.0	−2.0	−2.0±2.5
BH down the line	17%	−0.2	+1.8	+0.6	+2.2±3.8
FH through the middle	9%	−2.9	+1.2	±0.0	−1.7±2.0
FH inside-in	8%	+0.6	+1.5	−1.6	+0.5±3.1

Lean BH down the line: +3.2±3.3 per 100 returns v the current mix (5854 returns charted, inside the 90% margin)

Gijs Brouwer returning

1st serve to the forehand

Return	Now	Tour	Own	v Rafael	Value
FH through the middle	51%	+4.3	−0.3	−0.9	+3.1±2.2
FH down the line	27%	+1.7	−3.6	+1.7	−0.2±3.4
FH crosscourt	22%	+5.5	+1.0	+0.1	+6.6±3.4

Lean FH crosscourt: +3.6±3.0 per 100 returns v the current mix (179 returns charted)

1st serve to the backhand

Return	Now	Tour	Own	v Rafael	Value
BH slice through the middle	30%	−4.2	−1.7	+1.9	−4.0±1.9
BH through the middle	27%	+6.4	−2.8	+0.7	+4.3±2.0
BH down the line	13%	+4.2	+0.2	+4.3	+8.7±3.4
BH slice down the line	12%	−8.4	+0.6	+3.6	−4.2±2.9
BH crosscourt	12%	+8.8	−3.2	−1.0	+4.6±2.6

Lean BH down the line: +8.1±3.1 per 100 returns v the current mix (267 returns charted)

2nd serve to the forehand

Return	Now	Tour	Own	v Rafael	Value
FH through the middle	51%	−3.5	−2.2	−0.4	−6.1±2.2
FH crosscourt	35%	−0.2	−0.6	+0.4	−0.4±3.4
FH down the line	14%	−1.8	−1.5	−0.7	−4.0±3.0

Lean FH crosscourt: +3.4±2.5 per 100 returns v the current mix (85 returns charted)

2nd serve to the backhand

Return	Now	Tour	Own	v Rafael	Value
BH through the middle	35%	−2.9	−0.6	+0.1	−3.4±1.9
BH crosscourt	22%	+1.0	−2.0	−1.3	−2.3±2.5
BH down the line	22%	−0.2	−0.1	−0.2	−0.5±3.7
FH through the middle	8%	−2.9	−1.3	−0.4	−4.6±1.4
BH slice through the middle	7%	−11.3	−0.1	−0.9	−12.3±2.0

Lean BH down the line: +2.4±3.0 per 100 returns v the current mix (144 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 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.

Rafael Nadal

Favour

Shot	Edge	Own	Theirs
FH to their backhand · return +1	+5.1±3.7	+3.1	+2.0
BH to their backhand · return +1	+4.2±3.9	+1.0	+3.3
BH to their forehand · serve +1	+4.0±5.2	+3.4	+0.6
BH slice to the middle · return	+3.9±2.5	+3.6	+0.3
FH to their backhand · rally	+3.7±2.4	+2.9	+0.9
BH to the middle · return	+2.6±1.9	+1.4	+1.2

Avoid

Shot	Edge	Own	Theirs
BH to their backhand · rally	−4.8±2.6	+1.1	−5.9
BH to their forehand · return	−2.5±4.5	+1.5	−4.1
BH slice to their backhand · rally	−2.5±2.6	−0.8	−1.7
BH to their forehand · return +1	−2.4±5.5	+2.4	−4.8
BH to the middle · rally	−2.4±2.2	+1.0	−3.4

Gijs Brouwer

Favour

Shot	Edge	Own	Theirs
FH to their backhand · return +1	+3.9±3.9	+2.2	+1.7
BH to their forehand · rally	+1.2±3.8	+0.5	+0.7
FH to the middle · serve +1	+0.9±2.8	+0.7	+0.3
BH slice to the middle · rally	+0.8±2.5	+1.0	−0.2
BH slice to the middle · return	+0.5±2.4	−1.1	+1.7
BH to the middle · rally	+0.5±2.6	+0.3	+0.1

Avoid

Shot	Edge	Own	Theirs
FH to their forehand · return	−6.4±4.8	−6.4	±0.0
FH to their forehand · return +1	−6.4±4.4	−3.8	−2.5
FH to their forehand · serve +1	−4.3±3.2	−3.7	−0.6
BH slice to their backhand · rally	−4.1±2.4	−0.7	−3.5
BH to their backhand · rally	−3.8±3.1	−3.7	−0.2

Against Gijs Brouwer-like opponents

Rafael Nadal v	Matches	Serve pts won	Return pts won
All charted opponents	–	66.0%	40.1%
Players most similar to Gijs Brouwer	23	66.6%	39.0%

Similar by tactical fingerprint: Joao Fonseca, Denis Shapovalov, Thiago Monteiro, Jeremy Chardy, Tim Van Rijthoven, Fernando Verdasco, Juan Martin Del Potro, Pablo Cuevas, Philipp Kohlschreiber. When two players have rarely met, their records against these lookalikes fill the gap.