RallyIQ

Game plan

Emma Navarro v Mccartney Kessler

Every number combines what Emma Navarro does well with what Mccartney Kessler allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Emma Navarro wins, best of 3 68%90%: 29%–93% · best of 5: 72%
Serve points won 57.4% / 53.9% Emma / Mccartney · tour 57.7%
Strengths only, no similarity priors 69%serve 57.6% / 53.8%

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 Emma Navarro's record against Mccartney Kessler's tactical lookalikes and in their charted head-to-heads (lookalikes: −1.0 on serve, −0.8 on return vs expectation (452 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

CareerEmmaMccartney
Direction choice−0.07 ±0.08
better than 40%
−0.11 ±0.13
better than 34%
Shot selection−0.14 ±0.13
better than 33%
+0.17 ±0.18
better than 61%
Execution+0.65 ±0.53
better than 84%
−0.30 ±0.47
better than 45%
Points left on the table2.56 ±0.11
lower than 58%
2.68 ±0.19
lower than 37%

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.

Emma Navarro serving

Deuce court

1st serveNowEmma winsv MccartneyMatchupOptimal
Wide46%61%67%62.7%±7.447% ▲
Body25%60%54%56.0%±10.310% ▼
T29%65%71%69.1%±9.843% ▲

Optimal v Mccartney Kessler: +0.4±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowEmma winsv MccartneyMatchupOptimal
Wide41%64%67%65.3%±8.541%
Body21%58%55%57.0%±11.36% ▼
T38%60%69%64.7%±8.553% ▲

Optimal v Mccartney Kessler: +1.1±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.9 per 100 first serves in before the returner adjusts.

Mccartney Kessler serving

Deuce court

1st serveNowMccartney winsv EmmaMatchupOptimal
Wide58%60%60%53.9%±7.743% ▼
Body18%58%58%59.4%±10.318%
T24%67%69%68.4%±9.539% ▲

Optimal v Emma Navarro: +0.7±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +10.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMccartney winsv EmmaMatchupOptimal
Wide55%63%62%58.9%±7.955%
Body18%55%64%62.7%±10.63% ▼
T27%66%70%72.0%±8.442% ▲

Optimal v Emma Navarro: +0.5±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +8.9 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.

Emma Navarro returning

1st serve to the forehand

ReturnNowTourOwnv MccartneyValue
FH through the middle43%+4.2+1.2+2.4+7.8±2.8
FH crosscourt29%+5.3+2.7+0.8+8.8±4.2
FH down the line18%+1.5+0.5−0.1+1.9±4.7
FH slice through the middle7%−6.7−0.9−0.8−8.5±2.5
FH slice down the line2%−10.5−0.6±0.0−11.1±1.7

Lean FH crosscourt: +3.4±3.3 per 100 returns v the current mix (421 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MccartneyValue
BH through the middle47%+6.0+2.5+1.6+10.2±2.6
BH crosscourt28%+7.7+0.4−0.2+7.9±3.5
BH down the line10%+2.2+1.5+1.1+4.7±4.5
BH slice through the middle9%−6.2+3.9+0.3−2.0±2.3
BH slice crosscourt4%−4.2−0.5+0.2−4.5±2.6

Lean BH through the middle: +3.3±1.8 per 100 returns v the current mix (370 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MccartneyValue
FH through the middle49%−3.2+2.9−0.1−0.4±3.1
FH crosscourt28%+0.5+1.3+2.2+4.1±4.4
FH down the line24%−0.6−1.0+0.4−1.1±5.1

Lean FH crosscourt: +3.4±3.7 per 100 returns v the current mix (119 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv MccartneyValue
BH crosscourt47%+1.5−1.1−0.6−0.2±3.6
BH through the middle40%−2.6+0.5+2.1±0.0±2.8
BH down the line13%−0.5+3.5+1.1+4.1±5.1

Lean BH down the line: +3.7±4.8 per 100 returns v the current mix (174 returns charted, inside the 90% margin)

Mccartney Kessler returning

1st serve to the forehand

ReturnNowTourOwnv EmmaValue
FH through the middle44%+4.2+2.2+0.9+7.3±2.7
FH down the line19%+1.5−3.3+1.3−0.4±4.5
FH crosscourt18%+5.3−1.2+3.8+7.9±4.2
FH slice through the middle10%−6.7−0.4−0.3−7.4±2.5
FH slice crosscourt6%−6.6−0.8−0.3−7.7±2.3

Lean FH crosscourt: +4.8±3.7 per 100 returns v the current mix (225 returns charted)

1st serve to the backhand

ReturnNowTourOwnv EmmaValue
BH through the middle52%+6.0−0.4±0.0+5.6±2.6
BH crosscourt33%+7.7−0.7+0.7+7.7±3.5
BH slice through the middle8%−6.2−1.3+1.5−6.0±2.3
BH down the line7%+2.2+1.9+2.2+6.3±3.9

Lean BH crosscourt: +2.3±2.7 per 100 returns v the current mix (121 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv EmmaValue
FH through the middle65%−3.2+0.2+1.2−1.8±2.9
FH crosscourt19%+0.5−2.7+3.4+1.3±3.8
FH down the line16%−0.6−1.9+1.8−0.7±4.4

Lean FH through the middle: −0.7±1.4 per 100 returns v the current mix (43 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv EmmaValue
BH through the middle52%−2.6+0.3−1.3−3.6±2.6
BH crosscourt37%+1.5−0.2+2.1+3.4±3.5
BH down the line12%−0.5+4.8+5.3+9.6±4.7

Lean BH crosscourt: +2.9±2.7 per 100 returns v the current mix (104 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.

Emma Navarro

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+4.7±6.1−0.1+4.8
BH to the middle · return+3.8±3.5+2.2+1.7
FH to their backhand · return +1+3.7±6.1−0.3+3.9
FH to the middle · rally+3.7±3.4+2.4+1.3
FH to their forehand · serve +1+3.6±5.5+2.6+1.0
FH to their forehand · return +1+2.6±5.6+1.1+1.4

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−5.1±6.0−1.4−3.7
FH to their forehand · rally−3.0±4.4+0.8−3.7
BH to their forehand · rally−2.9±6.2−1.7−1.1
FH to their backhand · return−2.5±6.1−2.7+0.1
BH to their backhand · serve +1−2.3±5.1−3.2+1.0

Mccartney Kessler

Favour

ShotEdgeOwnTheirs
FH to their forehand · return +1+6.1±4.8+3.4+2.7
FH to their backhand · serve +1+3.9±5.9+0.9+3.1
BH to their backhand · return+3.6±5.0+0.1+3.4
FH to the middle · return+3.1±3.8+1.4+1.7
BH to their backhand · serve +1+3.0±5.2+2.2+0.8
BH to their backhand · rally+2.6±4.5+0.2+2.4

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−7.5±5.5−5.0−2.5
BH to the middle · return−6.0±3.6−3.7−2.3
BH to their forehand · rally−5.5±5.9−2.4−3.0
FH to their backhand · return−3.9±6.3−4.2+0.3
FH to their forehand · rally−1.4±4.6−0.9−0.5

Against Mccartney Kessler-like opponents

Emma Navarro vMatchesServe pts wonReturn pts won
All charted opponents–55.2%43.3%
Players most similar to Mccartney Kessler3 54.1%41.6%

Similar by tactical fingerprint: Iva Jovic, Anastasia Potapova, Anna Kalinskaya, Magda Linette, Emma Raducanu, Victoria Mboko, Lin Zhu, Shelby Rogers, Elena Dementieva. When two players have rarely met, their records against these lookalikes fill the gap.