RallyIQ

Game plan

Aljaz Bedene v Nicolas Almagro

Every number combines what Aljaz Bedene 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

Aljaz Bedene wins, best of 3 54%90%: 28%–79% · best of 5: 55%
Serve points won 65.5% / 64.7% Aljaz / Nicolas · tour 63.4%
Strengths only, no similarity priors 55%serve 65.2% / 64.2%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Aljaz Bedene's record against Nicolas Almagro's tactical lookalikes and in their charted head-to-heads (lookalikes: +3.9 on serve, −6.9 on return vs expectation (231 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

CareerAljazNicolas
Direction choice+0.05 ±0.07
better than 71%
+0.12 ±0.06
better than 84%
Shot selection+0.17 ±0.11
better than 71%
+0.19 ±0.11
better than 72%
Execution−1.34 ±0.44
better than 14%
−0.16 ±0.52
better than 59%
Points left on the table2.27 ±0.12
lower than 86%
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.

Aljaz Bedene serving

Deuce court

1st serveNowAljaz winsv NicolasMatchupOptimal
Wide33%67%78%73.3%±6.746% ▲
Body5%58%69%63.4%±13.10% ▼
T62%70%78%73.1%±5.954% ▼

Optimal v Nicolas Almagro: +0.8±0.7 per 100 first serves (faults included) over the current mix. Serving wide every time would read +0.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAljaz winsv NicolasMatchupOptimal
Wide50%69%74%70.1%±6.544% ▼
Body7%65%64%66.0%±13.10% ▼
T43%69%80%77.2%±6.256% ▲

Optimal v Nicolas Almagro: +0.4±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.4 per 100 first serves in before the returner adjusts.

Nicolas Almagro serving

Deuce court

1st serveNowNicolas winsv AljazMatchupOptimal
Wide38%71%69%67.1%±6.930% ▼
Body5%63%54%54.2%±13.50% ▼
T57%80%73%78.5%±5.370% ▲

Optimal v Aljaz Bedene: +0.5±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowNicolas winsv AljazMatchupOptimal
Wide47%74%74%75.4%±5.960% ▲
Body12%55%62%53.9%±13.90% ▼
T41%69%72%69.1%±7.540%

Optimal v Aljaz Bedene: +0.9±0.9 per 100 first serves (faults included) over the current mix. Serving wide every time would read +5.1 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.

Aljaz Bedene returning

1st serve to the forehand

ReturnNowTourOwnv NicolasValue
FH through the middle50%+4.3−0.8+1.7+5.2±2.6
FH crosscourt32%+5.5−1.7+2.9+6.8±4.2
FH down the line15%+1.7−2.8−0.5−1.6±4.5
BH through the middle2%+6.6−0.2−2.1+4.2±2.3
FH slice through the middle1%−4.2−1.1+0.2−5.1±1.7

Lean FH crosscourt: +2.2±3.2 per 100 returns v the current mix (406 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv NicolasValue
BH through the middle42%+6.4−2.2−2.1+2.1±2.3
BH crosscourt30%+8.8−1.0+1.7+9.6±3.3
BH down the line10%+4.2+0.3−2.5+2.1±4.6
BH slice through the middle8%−4.2+1.8−0.7−3.1±2.5
BH slice crosscourt4%+0.5−1.6+2.7+1.6±2.9

Lean BH crosscourt: +5.9±2.6 per 100 returns v the current mix (640 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv NicolasValue
FH through the middle43%−3.5−4.0+0.4−7.1±2.9
FH crosscourt35%−0.2+1.8+4.8+6.4±4.4
FH down the line17%−1.8−1.9−0.4−4.1±4.4
BH inside-in5%+2.5+0.4+0.3+3.2±2.6

Lean FH crosscourt: +7.8±3.2 per 100 returns v the current mix (95 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv NicolasValue
BH through the middle39%−2.9−0.2+1.0−2.1±2.1
BH crosscourt37%+1.0+1.5+0.3+2.8±2.9
FH through the middle10%−2.9±0.0+0.4−2.5±2.4
BH down the line8%−0.2−0.9+1.2±0.0±4.9
FH inside-in4%+0.6+3.5+4.8+8.9±4.1

Lean BH crosscourt: +2.5±2.1 per 100 returns v the current mix (368 returns charted)

Nicolas Almagro returning

1st serve to the forehand

ReturnNowTourOwnv AljazValue
FH through the middle51%+4.3−0.1−0.2+3.9±2.6
FH crosscourt34%+5.5−2.7+0.3+3.1±4.3
FH down the line14%+1.7−3.3−2.9−4.5±4.5
FH slice through the middle2%−4.2−0.1−1.0−5.3±1.9

Lean FH through the middle: +1.6±2.0 per 100 returns v the current mix (259 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv AljazValue
BH through the middle38%+6.4+1.0−0.5+6.9±2.4
BH crosscourt27%+8.8+0.3−3.5+5.6±3.5
BH down the line16%+4.2−2.2+1.7+3.7±4.6
BH slice through the middle12%−4.2−0.8−2.3−7.3±2.4
BH slice crosscourt4%+0.5−0.8+2.3+2.0±2.8

Lean BH through the middle: +3.2±1.9 per 100 returns v the current mix (341 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AljazValue
BH through the middle40%−2.9+0.7−1.0−3.2±2.3
BH crosscourt33%+1.0+1.1+0.4+2.5±2.9
BH down the line17%−0.2−0.1+2.2+1.9±4.9
FH inside-out4%+1.0+0.9−1.7+0.2±3.2
FH inside-in4%+0.6+0.4+2.8+3.7±3.7

Lean BH crosscourt: +2.5±2.3 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.

Aljaz Bedene

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+6.1±4.1+1.1+5.0
BH to their backhand · rally+3.0±1.6+0.7+2.2
BH to their backhand · serve +1+1.7±3.1−0.9+2.6
BH to their backhand · return+1.3±2.6+1.2+0.2
FH to their backhand · rally+0.4±2.0−1.6+2.0
FH to the middle · return+0.3±2.2−1.2+1.5

Avoid

ShotEdgeOwnTheirs
BH slice to the middle · rally−5.3±2.3−2.6−2.7
BH slice to their backhand · rally−4.5±2.4−3.8−0.7
FH to their backhand · return−3.4±3.7−2.8−0.6
FH to their backhand · serve +1−2.3±2.6−4.0+1.7
BH to the middle · return−1.8±1.7−0.3−1.5

Nicolas Almagro

Favour

ShotEdgeOwnTheirs
BH to their forehand · rally+5.0±3.2+1.0+4.1
FH to their backhand · return +1+2.9±3.7+2.9+0.1
BH to their forehand · serve +1+2.5±4.7+0.2+2.3
BH to their backhand · return +1+1.9±2.9+0.6+1.3
FH to their forehand · return +1+1.7±3.7+0.4+1.3
FH to their forehand · return+1.3±4.0−0.1+1.4

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−5.0±3.8−1.9−3.1
FH to the middle · rally−3.0±2.0−1.8−1.2
FH to their backhand · rally−2.3±1.9−2.1−0.2
BH to their forehand · return +1−1.8±5.0−2.4+0.6
FH to their forehand · rally−1.7±2.1−0.5−1.2

Against Nicolas Almagro-like opponents

Aljaz Bedene vMatchesServe pts wonReturn pts won
All charted opponents–58.6%36.6%
Players most similar to Nicolas Almagro1 66.1%27.4%

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