RallyIQ

Game plan

Nishesh Basavareddy v Felix Auger Aliassime

Every number combines what Nishesh Basavareddy does well with what Felix Auger Aliassime allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Nishesh Basavareddy wins, best of 3 42%90%: 14%–76% · best of 5: 40%
Serve points won 67.3% / 68.9% Nishesh / Felix · tour 65.7%
Strengths only, no similarity priors 42%serve 67.3% / 68.9%

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. Both were charted enough in the last three seasons, so those carry the most weight. The result is then nudged by Nishesh Basavareddy's record against Felix Auger Aliassime's tactical lookalikes and in their charted head-to-heads. 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

CareerNisheshFelix
Direction choice+0.26 ±0.08
better than 97%
+0.01 ±0.05
better than 60%
Shot selection+0.26 ±0.11
better than 77%
+0.50 ±0.08
better than 93%
Execution+0.46 ±0.64
better than 83%
−0.79 ±0.31
better than 33%
Points left on the table2.06 ±0.10
lower than 98%
2.50 ±0.09
lower than 60%

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: Nishesh Basavareddy +1.13, Felix Auger Aliassime −0.22. 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.

Nishesh Basavareddy serving

Deuce court

1st serveNowNishesh winsv FelixMatchupOptimal
Wide53%76%75%77.6%±4.566% ▲
Body10%69%64%69.6%±9.20% ▼
T37%78%74%76.7%±5.934% ▼

Optimal v Felix Auger Aliassime: +1.0±0.7 per 100 first serves (faults included) over the current mix. Serving wide every time would read +1.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowNishesh winsv FelixMatchupOptimal
Wide50%76%72%74.7%±5.654% ▲
Body8%60%65%62.3%±11.20% ▼
T42%72%74%74.1%±5.646% ▲

Optimal v Felix Auger Aliassime: +0.4±0.5 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.3 per 100 first serves in before the returner adjusts.

Felix Auger Aliassime serving

Deuce court

1st serveNowFelix winsv NisheshMatchupOptimal
Wide50%78%72%77.1%±4.763% ▲
Body8%66%61%63.7%±8.70% ▼
T42%78%69%71.8%±5.837% ▼

Optimal v Nishesh Basavareddy: +0.5±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowFelix winsv NisheshMatchupOptimal
Wide46%75%74%76.5%±5.040% ▼
Body6%63%61%61.6%±10.00% ▼
T47%76%72%76.3%±5.360% ▲

Optimal v Nishesh Basavareddy: +0.6±0.6 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.1 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.

Nishesh Basavareddy returning

1st serve to the forehand

ReturnNowTourOwnv FelixValue
FH through the middle44%+4.3−0.9−0.2+3.1±2.3
FH crosscourt31%+5.5+1.5−0.6+6.4±3.9
FH down the line10%+1.7−3.5−3.3−5.1±3.7
FH slice through the middle6%−4.2+0.4−1.3−5.1±1.9
FH slice crosscourt5%−4.3−2.9−0.9−8.1±2.6

Lean FH crosscourt: +4.6±2.9 per 100 returns v the current mix (262 returns charted)

1st serve to the backhand

ReturnNowTourOwnv FelixValue
BH crosscourt31%+8.8−0.7−0.6+7.5±2.9
BH through the middle27%+6.4+2.0+0.6+9.0±2.2
BH slice through the middle18%−4.2+1.6−2.0−4.6±2.2
BH slice crosscourt12%+0.5−2.5−2.6−4.5±2.8
BH slice down the line8%−8.4−0.4−2.4−11.2±3.4

Lean BH through the middle: +6.4±2.0 per 100 returns v the current mix (253 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv FelixValue
FH crosscourt52%−0.2+1.1−5.6−4.7±4.1
FH through the middle35%−3.5+0.5−0.3−3.3±2.3
FH down the line7%−1.8+0.8−2.8−3.8±3.3
FH slice through the middle6%−12.7−0.3−0.2−13.2±1.9

Lean FH through the middle: +1.4±2.6 per 100 returns v the current mix (86 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv FelixValue
BH crosscourt58%+1.0+2.9−1.5+2.4±2.7
BH through the middle35%−2.9−1.0+0.1−3.8±2.0
BH down the line7%−0.2−3.2+0.3−3.1±3.9

Lean BH crosscourt: +2.6±1.4 per 100 returns v the current mix (113 returns charted)

Felix Auger Aliassime returning

1st serve to the forehand

ReturnNowTourOwnv NisheshValue
FH through the middle50%+4.3−0.6−0.9+2.8±2.1
FH down the line21%+1.7−0.9−2.5−1.7±3.8
FH crosscourt20%+5.5−1.5+2.8+6.7±3.8
FH slice through the middle6%−4.2−1.3+0.4−5.1±2.2
FH slice down the line2%−4.3+0.1+0.2−4.0±2.9

Lean FH crosscourt: +4.8±3.3 per 100 returns v the current mix (1741 returns charted)

1st serve to the backhand

ReturnNowTourOwnv NisheshValue
BH through the middle39%+6.4+1.5+1.1+9.0±2.0
BH crosscourt34%+8.8+0.1+1.4+10.3±2.8
BH slice through the middle11%−4.2−0.9+1.5−3.6±2.2
BH down the line7%+4.2+1.4−1.0+4.7±4.3
BH slice crosscourt6%+0.5−1.8−2.0−3.3±2.8

Lean BH crosscourt: +3.7±2.1 per 100 returns v the current mix (2015 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv NisheshValue
FH through the middle47%−3.5−0.1+1.0−2.6±2.6
FH crosscourt30%−0.2−0.5+2.2+1.5±4.1
FH down the line19%−1.8−2.0−3.2−6.9±4.7
FH slice through the middle2%−12.7+0.3±0.0−12.4±1.2
FH slice down the line1%−9.4+0.1±0.0−9.4±1.4

Lean FH crosscourt: +4.0±3.3 per 100 returns v the current mix (403 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv NisheshValue
BH crosscourt36%+1.0−3.2−0.5−2.7±2.7
BH through the middle34%−2.9−1.3−0.2−4.4±1.9
FH through the middle9%−2.9−0.2+1.0−2.1±2.3
BH down the line8%−0.2+2.0−3.2−1.4±4.9
FH inside-in6%+0.6+1.4+2.2+4.1±4.3

Lean FH inside-in: +6.8±4.2 per 100 returns v the current mix (1299 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.

Nishesh Basavareddy

Favour

ShotEdgeOwnTheirs
BH to their forehand · return +1+5.4±5.8+3.9+1.5
BH to their backhand · return +1+5.1±4.0+2.3+2.7
BH to their forehand · rally+4.6±4.5+3.1+1.5
FH to their forehand · serve +1+4.3±4.2+1.7+2.6
FH to the middle · rally+4.3±2.7+2.8+1.5
BH to the middle · rally+3.2±2.4+1.1+2.0

Avoid

ShotEdgeOwnTheirs
BH to their forehand · return−5.6±5.3−0.5−5.0
FH to their backhand · return−4.0±4.7−1.2−2.8
FH to their backhand · serve +1−3.7±3.9−2.3−1.3
FH to their forehand · return−3.4±5.0+1.0−4.5
FH to their backhand · return +1−2.8±4.8+2.5−5.3

Felix Auger Aliassime

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+4.2±5.0+0.6+3.6
BH to their forehand · rally+3.3±4.4+0.9+2.4
BH to the middle · rally+2.7±2.3+1.9+0.9
FH to their backhand · rally+2.3±3.2+0.7+1.6
FH to the middle · serve +1+1.7±3.1+0.1+1.5
FH to the middle · rally+1.6±2.7+0.6+1.0

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−6.3±4.5−2.8−3.5
FH to their forehand · return +1−5.4±4.8−4.5−0.8
BH to their forehand · return +1−3.6±5.8−1.3−2.2
BH to their backhand · rally−3.0±2.8−4.1+1.1
FH to their backhand · serve +1−2.5±3.7−3.1+0.6

Against Felix Auger Aliassime-like opponents

Nishesh Basavareddy vMatchesServe pts wonReturn pts won
All charted opponents–65.9%39.2%

Similar by tactical fingerprint: Casper Ruud, Stefanos Tsitsipas, Arthur Fils, Tommy Paul, Alexei Popyrin, Zizou Bergs, Thanasi Kokkinakis, Lloyd Harris, J J Wolf, Leonardo Mayer. When two players have rarely met, their records against these lookalikes fill the gap.