RallyIQ

Game plan

Borna Coric v Nicolas Almagro

Every number combines what Borna Coric does well with what Nicolas Almagro allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Borna Coric wins, best of 3 74%90%: 50%–90% · best of 5: 79%
Serve points won 70.0% / 64.7% Borna / Nicolas · tour 63.4%
Strengths only, no similarity priors 72%serve 69.2% / 64.5%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Borna Coric's record against Nicolas Almagro's tactical lookalikes and in their charted head-to-heads (lookalikes: +4.1 on serve, −1.1 on return vs expectation (677 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

CareerBornaNicolas
Direction choice+0.17 ±0.06
better than 91%
+0.12 ±0.06
better than 84%
Shot selection−0.12 ±0.13
better than 37%
+0.19 ±0.11
better than 72%
Execution−0.53 ±0.35
better than 43%
−0.16 ±0.52
better than 59%
Points left on the table2.25 ±0.10
lower than 88%
2.18 ±0.11
lower than 94%

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.

Borna Coric serving

Deuce court

1st serveNowBorna winsv NicolasMatchupOptimal
Wide42%71%78%77.0%±5.555% ▲
Body5%58%69%63.3%±11.50% ▼
T52%73%78%76.1%±5.145% ▼

Optimal v Nicolas Almagro: +0.6±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowBorna winsv NicolasMatchupOptimal
Wide49%73%74%73.9%±5.342% ▼
Body6%59%64%59.2%±13.20% ▼
T45%72%80%79.9%±5.358% ▲

Optimal v Nicolas Almagro: +0.6±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.2 per 100 first serves in before the returner adjusts.

Nicolas Almagro serving

Deuce court

1st serveNowNicolas winsv BornaMatchupOptimal
Wide38%71%78%76.2%±5.151% ▲
Body5%63%56%56.5%±13.30% ▼
T57%80%76%81.4%±4.549% ▼

Optimal v Borna Coric: +0.5±0.6 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowNicolas winsv BornaMatchupOptimal
Wide47%74%76%77.1%±5.460% ▲
Body12%55%59%51.3%±11.70% ▼
T41%69%74%71.0%±6.340%

Optimal v Borna Coric: +0.9±0.8 per 100 first serves (faults included) over the current mix. Serving wide every time would read +5.6 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.

Borna Coric returning

1st serve to the forehand

ReturnNowTourOwnv NicolasValue
FH through the middle49%+4.3−1.2+1.7+4.8±2.4
FH crosscourt23%+5.5−0.9+2.9+7.5±4.1
FH down the line13%+1.7+0.2−0.5+1.4±4.4
FH slice through the middle9%−4.2−2.6+0.2−6.6±2.1
FH slice down the line3%−4.3−3.0−0.4−7.6±2.5

Lean FH crosscourt: +4.3±3.4 per 100 returns v the current mix (791 returns charted)

1st serve to the backhand

ReturnNowTourOwnv NicolasValue
BH through the middle40%+6.4−1.8−2.1+2.5±2.3
BH crosscourt39%+8.8−2.2+1.7+8.3±3.1
BH slice through the middle8%−4.2−0.2−0.7−5.1±2.5
BH down the line6%+4.2−4.0−2.5−2.2±4.6
BH slice crosscourt5%+0.5−0.3+2.7+2.9±2.9

Lean BH crosscourt: +4.6±2.2 per 100 returns v the current mix (704 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv NicolasValue
FH through the middle42%−3.5−2.6+0.4−5.7±2.8
FH crosscourt35%−0.2−4.3+4.8+0.3±4.3
FH down the line21%−1.8+0.8−0.4−1.4±4.7
FH slice through the middle2%−12.7−1.2±0.0−13.9±1.0

Lean FH crosscourt: +3.1±3.2 per 100 returns v the current mix (266 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv NicolasValue
BH crosscourt56%+1.0−0.4+0.3+0.9±2.6
BH through the middle34%−2.9−1.0+1.0−2.9±2.1
BH down the line9%−0.2+0.1+1.2+1.1±5.0
FH through the middle1%−2.9+0.7+0.4−1.7±2.1

Lean BH down the line: +1.5±4.8 per 100 returns v the current mix (534 returns charted, inside the 90% margin)

Nicolas Almagro returning

1st serve to the forehand

ReturnNowTourOwnv BornaValue
FH through the middle51%+4.3−0.1−0.6+3.6±2.4
FH crosscourt34%+5.5−2.7−0.8+1.9±4.1
FH down the line14%+1.7−3.3−2.1−3.8±4.2
FH slice through the middle2%−4.2−0.1+1.3−3.0±1.8

Lean FH through the middle: +1.7±1.9 per 100 returns v the current mix (259 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv BornaValue
BH through the middle38%+6.4+1.0+0.5+7.9±2.3
BH crosscourt27%+8.8+0.3−1.6+7.5±3.2
BH down the line16%+4.2−2.2−0.9+1.1±4.6
BH slice through the middle12%−4.2−0.8+0.2−4.8±2.3
BH slice crosscourt4%+0.5−0.8+0.9+0.7±2.6

Lean BH through the middle: +3.6±1.8 per 100 returns v the current mix (341 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv BornaValue
BH through the middle40%−2.9+0.7+0.6−1.6±2.1
BH crosscourt33%+1.0+1.1+0.6+2.7±2.8
BH down the line17%−0.2−0.1−5.6−5.9±4.8
FH inside-out4%+1.0+0.9−1.0+0.8±3.2
FH inside-in4%+0.6+0.4−0.7+0.3±3.8

Lean BH crosscourt: +3.4±2.2 per 100 returns v the current mix (235 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.

Borna Coric

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+2.5±3.9−2.5+5.0
BH to their backhand · serve +1+2.1±2.7−0.5+2.6
FH to their backhand · serve +1+1.8±2.4+0.1+1.7
FH to their backhand · rally+1.1±1.9−0.9+2.0
BH to their backhand · rally+1.0±1.4−1.2+2.2
FH to the middle · return+0.8±2.1−0.8+1.5

Avoid

ShotEdgeOwnTheirs
BH slice to the middle · rally−4.6±2.3−2.0−2.7
BH to their forehand · return−4.5±4.2−3.6−0.9
BH to the middle · return−3.5±1.7−2.0−1.5
FH to their backhand · return +1−2.7±3.6−2.3−0.4
BH to their forehand · rally−2.0±3.4−1.8−0.2

Nicolas Almagro

Favour

ShotEdgeOwnTheirs
FH to their backhand · return +1+3.4±3.7+2.9+0.5
BH to their backhand · serve +1+2.9±2.7+1.0+1.9
BH to the middle · return +1+1.9±2.1+0.8+1.1
FH to the middle · return +1+1.8±2.5−0.2+1.9
BH to their backhand · return+1.1±2.5+1.9−0.8
FH to their forehand · rally+0.8±1.9−0.5+1.3

Avoid

ShotEdgeOwnTheirs
BH to their forehand · return−7.6±4.0−3.1−4.6
BH to their forehand · return +1−4.6±4.8−2.4−2.2
FH to their backhand · rally−4.3±1.9−2.1−2.2
FH to their backhand · return−3.7±3.7−1.9−1.8
FH to the middle · rally−1.9±1.8−1.8−0.1

Against Nicolas Almagro-like opponents

Borna Coric vMatchesServe pts wonReturn pts won
All charted opponents–64.0%33.8%
Players most similar to Nicolas Almagro3 69.9%34.5%

Similar by tactical fingerprint: Jack Draper, David Goffin, Juan Pablo Varillas, Kyle Edmund, Aljaz Bedene, Philipp Kohlschreiber, Janko Tipsarevic, Jared Donaldson, Marat Safin. When two players have rarely met, their records against these lookalikes fill the gap.