RallyIQ

Game plan

Noma Noha Akugue v Clara Burel

Every number combines what Noma Noha Akugue does well with what Clara Burel allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Noma Noha Akugue wins, best of 3 42%90%: 11%–78% · best of 5: 40%
Serve points won 54.0% / 55.6% Noma / Clara · tour 56.3%
Strengths only, no similarity priors 42%serve 54.0% / 55.6%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Noma Noha Akugue's record against Clara Burel'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

CareerNomaClara
Direction choice−0.31 ±0.15
better than 5%
−0.27 ±0.09
better than 9%
Shot selection+0.28 ±0.17
better than 76%
−0.09 ±0.22
better than 35%
Execution−2.97 ±0.60
better than 1%
+0.01 ±0.51
better 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.

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.

Noma Noha Akugue serving

Deuce court

1st serveNowNoma winsv ClaraMatchupOptimal
Wide37%67%63%64.3%±11.936%
Body32%59%53%53.9%±12.417% ▼
T32%70%61%63.4%±12.747% ▲

Optimal v Clara Burel: +0.8±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowNoma winsv ClaraMatchupOptimal
Wide40%70%56%61.5%±11.940%
Body31%61%48%53.6%±14.016% ▼
T28%70%59%65.8%±13.344% ▲

Optimal v Clara Burel: +1.1±1.3 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.5 per 100 first serves in before the returner adjusts.

Clara Burel serving

Deuce court

1st serveNowClara winsv NomaMatchupOptimal
Wide53%56%65%55.3%±11.153%
Body27%50%60%53.3%±13.312% ▼
T20%69%64%65.6%±13.835% ▲

Optimal v Noma Noha Akugue: +0.5±1.3 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +8.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowClara winsv NomaMatchupOptimal
Wide40%66%68%68.1%±12.041%
Body21%54%58%55.7%±14.75% ▼
T39%61%67%64.5%±11.354% ▲

Optimal v Noma Noha Akugue: +0.9±1.3 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.9 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.

Noma Noha Akugue returning

1st serve to the forehand

ReturnNowTourOwnv ClaraValue
FH through the middle36%+4.2−3.2+2.5+3.5±3.1
FH crosscourt30%+5.3−2.2+2.3+5.4±4.2
FH slice through the middle26%−6.7+0.2±0.0−6.6±1.6
FH down the line7%+1.5+1.2+1.9+4.6±3.8

Lean FH crosscourt: +3.9±3.1 per 100 returns v the current mix (69 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ClaraValue
BH through the middle54%+6.0−2.3+0.4+4.1±2.9
BH crosscourt26%+7.7+1.4+0.9+10.0±3.3
BH down the line19%+2.2+0.1+0.5+2.8±4.5

Lean BH crosscourt: +4.6±3.1 per 100 returns v the current mix (114 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv ClaraValue
BH through the middle63%−2.6−0.6−2.0−5.2±2.8
BH crosscourt30%+1.5−0.3−1.5−0.2±3.1
BH down the line7%−0.5−1.9+0.7−1.8±4.3

Lean BH crosscourt: +3.3±2.8 per 100 returns v the current mix (70 returns charted)

Clara Burel returning

1st serve to the forehand

ReturnNowTourOwnv NomaValue
FH through the middle51%+4.2+4.1−1.5+6.8±3.2
FH crosscourt23%+5.3+0.2+0.5+6.0±3.7
FH down the line18%+1.5−0.2−1.5−0.2±4.2
FH slice through the middle8%−6.7−0.9−0.9−8.5±1.9

Lean FH through the middle: +2.7±1.9 per 100 returns v the current mix (146 returns charted)

1st serve to the backhand

ReturnNowTourOwnv NomaValue
BH through the middle54%+6.0+0.9−0.9+6.1±3.0
BH crosscourt25%+7.7+1.8−3.4+6.1±3.5
BH slice through the middle11%−6.2−0.3+0.8−5.8±2.3
BH down the line10%+2.2+1.1−1.6+1.7±3.7

Lean BH crosscourt: +1.8±3.1 per 100 returns v the current mix (131 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv NomaValue
FH through the middle49%−3.2+1.3−1.0−2.8±3.0
FH crosscourt32%+0.5−1.7−0.9−2.0±3.7
FH down the line19%−0.6+2.9−2.1+0.2±4.5

Lean FH crosscourt: ±0.0±3.0 per 100 returns v the current mix (47 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv NomaValue
BH through the middle59%−2.6−0.2+0.2−2.6±2.7
BH crosscourt31%+1.5−1.3−5.7−5.6±3.3
BH down the line10%−0.5−0.3+0.4−0.5±3.0

Lean BH through the middle: +0.7±1.5 per 100 returns v the current mix (49 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.

Noma Noha Akugue

Favour

ShotEdgeOwnTheirs
BH to the middle · rally+0.1±2.4−0.2+0.3
BH to their forehand · rally−0.3±4.6−1.6+1.3
FH to their backhand · serve +1−0.6±4.2−0.7+0.1
FH to the middle · return−1.0±3.0−3.5+2.6
BH to the middle · return−1.4±2.7−1.5+0.1
BH to their backhand · rally−2.9±3.5−1.3−1.6

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−4.9±3.4−2.7−2.2
FH to their forehand · rally−4.6±3.5−4.3−0.2
FH to the middle · rally−3.8±2.5−3.7−0.1
BH to their backhand · rally−2.9±3.5−1.3−1.6
BH to the middle · return−1.4±2.7−1.5+0.1

Clara Burel

Favour

ShotEdgeOwnTheirs
BH slice to the middle · rally+2.3±2.4+0.7+1.5
BH to the middle · return+1.8±2.8+2.4−0.6
FH to their backhand · rally+1.2±3.8+3.6−2.4
FH to the middle · rally+1.0±2.5+0.2+0.8
BH to their backhand · rally+0.6±3.6+0.3+0.3
FH to the middle · return±0.0±2.8+2.6−2.6

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−1.9±3.5−1.2−0.8
FH to their backhand · serve +1−1.8±4.4−0.9−0.9
BH to the middle · rally−0.4±2.4+0.2−0.6
FH to the middle · return±0.0±2.8+2.6−2.6
BH to their backhand · rally+0.6±3.6+0.3+0.3

Against Clara Burel-like opponents

Noma Noha Akugue vMatchesServe pts wonReturn pts won
All charted opponents–58.8%43.7%

Similar by tactical fingerprint: Coco Gauff, Bianca Andreescu, Camila Osorio, Emma Navarro, Yulia Putintseva, Yafan Wang, Lin Zhu, Petra Martic, Alison Van Uytvanck, Kiki Bertens. When two players have rarely met, their records against these lookalikes fill the gap.