Game plan

Philipp Kohlschreiber v Gijs Brouwer

Every number combines what Philipp Kohlschreiber 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

Philipp Kohlschreiber wins, best of 3 52%90%: 29%–74% · best of 5: 53%

Serve points won 65.2% / 64.8% Philipp / Gijs · tour 63.8%

Strengths only, no similarity priors 54%serve 65.4% / 64.7%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Philipp Kohlschreiber's record against Gijs Brouwer's tactical lookalikes and in their charted head-to-heads (lookalikes: −2.1 on serve, −0.9 on return vs expectation (310 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	Philipp	Gijs
Direction choice	+0.07 ±0.06 better than 75%	+0.02 ±0.09 better than 62%
Shot selection	−0.21 ±0.11 better than 29%	−0.08 ±0.26 better than 42%
Execution	−0.24 ±0.45 better than 56%	−1.66 ±0.67 better than 7%
Points left on the table	2.49 ±0.11 lower than 62%	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.

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.

Philipp Kohlschreiber serving

Deuce court

1st serve	Now	Philipp wins	v Gijs	Matchup	Optimal
Wide	37%	71%	75%	73.1%±6.3	50% ▲
Body	11%	66%	59%	62.2%±10.5	0% ▼
T	51%	73%	69%	65.8%±7.2	50% ▼

Optimal v Gijs Brouwer: +0.8±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.9 per 100 first serves in before the returner adjusts.

Ad court

1st serve	Now	Philipp wins	v Gijs	Matchup	Optimal
Wide	51%	70%	78%	76.3%±6.9	51%
Body	13%	62%	70%	69.6%±9.8	0% ▼
T	36%	69%	73%	70.9%±6.9	49% ▲

Optimal v Gijs Brouwer: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.8 per 100 first serves in before the returner adjusts.

Gijs Brouwer serving

Deuce court

1st serve	Now	Gijs wins	v Philipp	Matchup	Optimal
Wide	30%	82%	76%	83.9%±5.6	44% ▲
Body	12%	57%	57%	51.2%±11.2	0% ▼
T	58%	69%	74%	67.8%±5.8	56% ▼

Optimal v Philipp Kohlschreiber: +1.7±0.9 per 100 first serves (faults included) over the current mix. Serving wide every time would read +13.1 per 100 first serves in before the returner adjusts.

Ad court

1st serve	Now	Gijs wins	v Philipp	Matchup	Optimal
Wide	60%	67%	74%	68.9%±5.9	73% ▲
Body	7%	68%	62%	66.5%±11.1	0% ▼
T	33%	71%	77%	75.4%±7.1	27% ▼

Optimal v Philipp Kohlschreiber: +0.3±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.5 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.

Philipp Kohlschreiber returning

1st serve to the forehand

Return	Now	Tour	Own	v Gijs	Value
FH through the middle	48%	+4.3	−2.0	±0.0	+2.2±2.6
FH crosscourt	29%	+5.5	−3.4	−1.1	+1.0±4.2
FH down the line	18%	+1.7	−1.9	−1.3	−1.6±4.3
FH slice through the middle	3%	−4.2	+0.3	+0.2	−3.7±2.2
BH inside-in	1%	+7.7	−0.3	−2.7	+4.7±3.2

Lean FH through the middle: +1.3±2.0 per 100 returns v the current mix (522 returns charted, inside the 90% margin)

1st serve to the backhand

Return	Now	Tour	Own	v Gijs	Value
BH through the middle	33%	+6.4	−1.2	+0.7	+5.9±2.3
BH crosscourt	18%	+8.8	−0.8	−2.7	+5.3±3.4
BH slice through the middle	18%	−4.2	−0.3	+0.3	−4.2±2.3
BH down the line	14%	+4.2	−2.1	−3.1	−1.0±4.4
BH slice crosscourt	13%	+0.5	+1.4	−0.1	+1.9±2.6

Lean BH through the middle: +4.1±1.8 per 100 returns v the current mix (731 returns charted)

2nd serve to the forehand

Return	Now	Tour	Own	v Gijs	Value
FH through the middle	47%	−3.5	−0.9	±0.0	−4.4±2.9
FH crosscourt	30%	−0.2	−2.7	−2.7	−5.6±4.2
FH down the line	23%	−1.8	−2.7	−1.6	−6.0±4.2

Lean FH through the middle: +0.7±2.2 per 100 returns v the current mix (143 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	+0.5	−0.7	−3.1±2.3
BH crosscourt	24%	+1.0	−2.0	+0.6	−0.3±3.2
FH through the middle	13%	−2.9	+0.6	±0.0	−2.3±2.4
BH down the line	11%	−0.2	−1.3	−2.0	−3.5±5.0
FH inside-in	6%	+0.6	−1.0	−2.7	−3.1±4.1

Lean BH crosscourt: +2.1±2.6 per 100 returns v the current mix (505 returns charted, inside the 90% margin)

Gijs Brouwer returning

1st serve to the forehand

Return	Now	Tour	Own	v Philipp	Value
FH through the middle	51%	+4.3	−0.3	−0.6	+3.4±2.6
FH down the line	27%	+1.7	−3.6	−0.5	−2.4±4.3
FH crosscourt	22%	+5.5	+1.0	+0.4	+6.9±4.2

Lean FH crosscourt: +4.3±3.7 per 100 returns v the current mix (179 returns charted)

1st serve to the backhand

Return	Now	Tour	Own	v Philipp	Value
BH slice through the middle	30%	−4.2	−1.7	−2.1	−8.1±2.4
BH through the middle	27%	+6.4	−2.8	±0.0	+3.7±2.4
BH down the line	13%	+4.2	+0.2	+1.5	+5.9±4.0
BH slice down the line	12%	−8.4	+0.6	+1.5	−6.3±3.5
BH crosscourt	12%	+8.8	−3.2	+1.1	+6.7±3.5

Lean BH crosscourt: +7.5±3.3 per 100 returns v the current mix (267 returns charted)

2nd serve to the forehand

Return	Now	Tour	Own	v Philipp	Value
FH through the middle	51%	−3.5	−2.2	−0.7	−6.4±2.7
FH crosscourt	35%	−0.2	−0.6	−0.4	−1.2±4.2
FH down the line	14%	−1.8	−1.5	−1.7	−5.0±4.1

Lean FH crosscourt: +3.2±3.1 per 100 returns v the current mix (85 returns charted)

2nd serve to the backhand

Return	Now	Tour	Own	v Philipp	Value
BH through the middle	35%	−2.9	−0.6	−1.1	−4.5±2.2
BH crosscourt	22%	+1.0	−2.0	+1.1	+0.1±3.2
BH down the line	22%	−0.2	−0.1	+1.3	+1.0±4.3
FH through the middle	8%	−2.9	−1.3	−0.7	−4.8±1.9
BH slice through the middle	7%	−11.3	−0.1	+0.2	−11.2±2.2

Lean BH down the line: +3.4±3.6 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.

Philipp Kohlschreiber

Favour

Shot	Edge	Own	Theirs
BH to their backhand · return +1	+5.0±4.9	+1.8	+3.3
BH to their forehand · serve +1	+4.0±7.0	+3.4	+0.6
FH to their backhand · serve +1	+2.6±4.0	+1.0	+1.6
FH to their backhand · rally	+1.7±3.2	+0.8	+0.9
FH to their backhand · return +1	+0.9±5.1	−1.1	+2.0
BH to the middle · return	+0.7±2.6	−0.5	+1.2

Avoid

Shot	Edge	Own	Theirs
BH to their backhand · rally	−10.4±3.1	−4.6	−5.9
BH to their forehand · rally	−8.1±5.3	−4.0	−4.1
FH to their backhand · return	−5.4±5.7	−1.8	−3.7
BH to their backhand · return	−5.3±4.1	−4.2	−1.2
BH to their forehand · return +1	−5.2±7.4	−0.4	−4.8

Gijs Brouwer

Favour

Shot	Edge	Own	Theirs
FH to the middle · serve +1	+1.7±3.6	+0.7	+1.0
BH to their backhand · return	+0.9±4.1	−0.2	+1.1
BH to the middle · rally	+0.3±3.0	+0.3	±0.0
BH slice to the middle · rally	+0.3±3.2	+1.0	−0.7
FH to their backhand · return +1	+0.1±5.1	+2.2	−2.0
FH to their backhand · return	+0.1±5.3	−1.6	+1.7

Avoid

Shot	Edge	Own	Theirs
FH to their forehand · return +1	−6.1±5.6	−3.8	−2.3
FH to their forehand · return	−4.5±6.0	−6.4	+1.9
BH to their backhand · rally	−2.8±3.5	−3.7	+0.9
BH slice to the middle · return	−2.8±3.2	−1.1	−1.6
BH slice to their backhand · rally	−2.1±3.2	−0.7	−1.5

Against Gijs Brouwer-like opponents

Philipp Kohlschreiber v	Matches	Serve pts won	Return pts won
All charted opponents	–	63.5%	35.2%
Players most similar to Gijs Brouwer	2	59.3%	30.8%

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