Game plan

Philipp Kohlschreiber v Borna Coric

Every number combines what Philipp Kohlschreiber does well with what Borna Coric 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 48%90%: 19%–78% · best of 5: 47%

Serve points won 68.2% / 68.6% Philipp / Borna · tour 65.7%

Strengths only, no similarity priors 50%serve 68.2% / 68.2%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Borna Coric's tactical lookalikes and in their charted head-to-heads (lookalikes: +0.3 on serve, −0.6 on return vs expectation (324 points); head-to-head: −0.4 on serve, −2.6 on return vs expectation (446 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	Borna
Direction choice	+0.07 ±0.06 better than 75%	+0.17 ±0.06 better than 91%
Shot selection	−0.21 ±0.11 better than 29%	−0.12 ±0.13 better than 37%
Execution	−0.24 ±0.45 better than 56%	−0.53 ±0.35 better than 43%
Points left on the table	2.49 ±0.11 lower than 62%	2.25 ±0.10 lower than 88%

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 Borna	Matchup	Optimal
Wide	37%	71%	78%	76.5%±4.2	50% ▲
Body	11%	66%	56%	59.7%±10.2	0% ▼
T	51%	73%	76%	74.1%±4.5	50% ▼

Optimal v Borna Coric: +1.0±0.7 per 100 first serves (faults included) over the current mix. Serving wide every time would read +3.1 per 100 first serves in before the returner adjusts.

Ad court

1st serve	Now	Philipp wins	v Borna	Matchup	Optimal
Wide	51%	70%	76%	73.8%±4.5	51%
Body	13%	62%	59%	58.2%±9.9	0% ▼
T	36%	69%	74%	71.5%±5.2	49% ▲

Optimal v Borna Coric: +1.1±0.9 per 100 first serves (faults included) over the current mix. Serving wide every time would read +2.9 per 100 first serves in before the returner adjusts.

Borna Coric serving

Deuce court

1st serve	Now	Borna wins	v Philipp	Matchup	Optimal
Wide	42%	71%	76%	74.6%±4.5	55% ▲
Body	5%	58%	57%	51.4%±10.0	0% ▼
T	52%	73%	74%	71.9%±4.5	45% ▼

Optimal v Philipp Kohlschreiber: +0.9±0.6 per 100 first serves (faults included) over the current mix. Serving wide every time would read +2.7 per 100 first serves in before the returner adjusts.

Ad court

1st serve	Now	Borna wins	v Philipp	Matchup	Optimal
Wide	49%	73%	74%	74.1%±4.5	42% ▼
Body	6%	59%	62%	57.4%±9.7	0% ▼
T	45%	72%	77%	76.7%±4.8	58% ▲

Optimal v Philipp Kohlschreiber: +0.7±0.6 per 100 first serves (faults included) over the current mix. Serving T every time would read +2.5 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 Borna	Value
FH through the middle	48%	+4.3	−2.0	−0.6	+1.6±2.1
FH crosscourt	29%	+5.5	−3.4	−0.8	+1.3±3.9
FH down the line	18%	+1.7	−1.9	−2.1	−2.4±4.1
FH slice through the middle	3%	−4.2	+0.3	+1.3	−2.6±2.2
BH inside-in	1%	+7.7	−0.3	−1.6	+5.8±2.8

Lean FH through the middle: +1.0±1.7 per 100 returns v the current mix (522 returns charted, inside the 90% margin)

1st serve to the backhand

Return	Now	Tour	Own	v Borna	Value
BH through the middle	33%	+6.4	−1.2	+0.5	+5.7±2.1
BH crosscourt	18%	+8.8	−0.8	−1.6	+6.4±3.1
BH slice through the middle	18%	−4.2	−0.3	+0.2	−4.3±2.1
BH down the line	14%	+4.2	−2.1	−0.9	+1.2±4.5
BH slice crosscourt	13%	+0.5	+1.4	+0.9	+2.9±2.8

Lean BH crosscourt: +3.9±2.7 per 100 returns v the current mix (731 returns charted)

2nd serve to the forehand

Return	Now	Tour	Own	v Borna	Value
FH through the middle	47%	−3.5	−0.9	−0.1	−4.5±2.6
FH crosscourt	30%	−0.2	−2.7	−0.7	−3.6±4.3
FH down the line	23%	−1.8	−2.7	−1.0	−5.5±4.6

Lean FH crosscourt: +0.9±3.4 per 100 returns v the current mix (143 returns charted, inside the 90% margin)

2nd serve to the backhand

Return	Now	Tour	Own	v Borna	Value
BH through the middle	35%	−2.9	+0.5	+0.6	−1.8±1.9
BH crosscourt	24%	+1.0	−2.0	+0.6	−0.4±2.7
FH through the middle	13%	−2.9	+0.6	−0.1	−2.4±2.2
BH down the line	11%	−0.2	−1.3	−5.6	−7.1±4.8
FH inside-in	6%	+0.6	−1.0	−0.7	−1.1±4.2
FH inside-out	5%	+1.0	−0.2	−1.0	−0.3±3.6

Lean FH inside-out: +1.9±3.6 per 100 returns v the current mix (505 returns charted, inside the 90% margin)

Borna Coric returning

1st serve to the forehand

Return	Now	Tour	Own	v Philipp	Value
FH through the middle	49%	+4.3	−1.2	−0.6	+2.5±2.0
FH crosscourt	23%	+5.5	−0.9	−0.5	+4.1±3.8
FH down the line	13%	+1.7	+0.2	+0.4	+2.3±4.2
FH slice through the middle	9%	−4.2	−2.6	−0.1	−6.9±2.3
FH slice down the line	3%	−4.3	−3.0	−0.4	−7.7±2.8

Lean FH crosscourt: +2.7±3.2 per 100 returns v the current mix (791 returns charted, inside the 90% margin)

1st serve to the backhand

Return	Now	Tour	Own	v Philipp	Value
BH through the middle	40%	+6.4	−1.8	±0.0	+4.7±2.0
BH crosscourt	39%	+8.8	−2.2	+1.5	+8.1±2.6
BH slice through the middle	8%	−4.2	−0.2	−2.1	−6.5±2.4
BH down the line	6%	+4.2	−4.0	+1.1	+1.3±4.6
BH slice crosscourt	5%	+0.5	−0.3	+1.5	+1.7±3.0

Lean BH crosscourt: +3.5±1.8 per 100 returns v the current mix (704 returns charted)

2nd serve to the forehand

Return	Now	Tour	Own	v Philipp	Value
FH through the middle	42%	−3.5	−2.6	−0.7	−6.8±2.5
FH crosscourt	35%	−0.2	−4.3	−1.7	−6.3±4.1
FH down the line	21%	−1.8	+0.8	−0.4	−1.4±4.6
FH slice through the middle	2%	−12.7	−1.2	−0.9	−14.8±1.5

Lean FH down the line: +4.2±4.0 per 100 returns v the current mix (266 returns charted)

2nd serve to the backhand

Return	Now	Tour	Own	v Philipp	Value
BH crosscourt	56%	+1.0	−0.4	+1.3	+1.9±2.4
BH through the middle	34%	−2.9	−1.0	−1.1	−4.9±2.0
BH down the line	9%	−0.2	+0.1	+1.1	+1.0±4.9
FH through the middle	1%	−2.9	+0.7	−0.7	−2.9±1.9

Lean BH crosscourt: +2.5±1.3 per 100 returns v the current mix (534 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 grass. Each player's grass record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.