RallyIQ

Game plan

Amanda Coetzer v Nadia Podoroska

Every number combines what Amanda Coetzer does well with what Nadia Podoroska allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

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.

Amanda Coetzer serving

Deuce court

1st serveNowAmanda winsv NadiaMatchupOptimal
Wide38%61%71%66.5%±12.253% ▲
Body37%51%65%59.4%±13.122% ▼
T25%55%69%56.5%±14.625%

Optimal v Nadia Podoroska: +0.5±1.3 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAmanda winsv NadiaMatchupOptimal
Wide35%52%70%57.2%±13.549% ▲
Body58%46%62%52.3%±13.643% ▼
T7%61%64%60.2%±15.98%

Optimal v Nadia Podoroska: +1.0±1.2 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.

Nadia Podoroska serving

Deuce court

1st serveNowNadia winsv AmandaMatchupOptimal
Wide36%57%62%53.2%±13.436%
Body21%50%60%52.6%±14.16% ▼
T43%66%68%66.2%±12.758% ▲

Optimal v Amanda Coetzer: +0.8±1.3 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +7.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowNadia winsv AmandaMatchupOptimal
Wide34%60%68%62.7%±11.749% ▲
Body23%64%52%60.1%±15.623%
T43%55%65%55.9%±14.528% ▼

Optimal v Amanda Coetzer: +0.4±1.3 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.5 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.

Amanda Coetzer returning

1st serve to the backhand

ReturnNowTourOwnv NadiaValue
BH crosscourt52%+7.7−1.3+0.8+7.2±3.6
BH through the middle40%+6.0−2.4−0.1+3.5±2.8
BH down the line8%+2.2−0.7+2.1+3.6±3.7

Lean BH crosscourt: +1.8±2.1 per 100 returns v the current mix (62 returns charted, inside the 90% margin)

Nadia Podoroska returning

1st serve to the forehand

ReturnNowTourOwnv AmandaValue
FH through the middle42%+4.2−0.8−0.8+2.5±3.1
FH crosscourt19%+5.3+0.1+0.7+6.1±4.1
FH slice through the middle19%−6.7−0.1±0.0−6.8±1.7
FH down the line11%+1.5+2.0+2.1+5.6±4.2
FH slice crosscourt8%−6.6+1.2±0.0−5.4±1.5

Lean FH crosscourt: +4.9±3.6 per 100 returns v the current mix (144 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AmandaValue
BH through the middle56%+6.0+0.4−0.5+6.0±2.4
BH crosscourt26%+7.7−0.4+1.5+8.9±3.3
BH down the line10%+2.2−1.2±0.0+1.0±2.9
BH slice through the middle5%−6.2+0.5+0.5−5.2±2.0
BH slice down the line3%−12.5+0.8±0.0−11.7±1.5

Lean BH crosscourt: +3.8±2.8 per 100 returns v the current mix (171 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AmandaValue
BH through the middle41%−2.6+0.8±0.0−1.8±2.0
BH crosscourt30%+1.5−1.0±0.0+0.5±2.5
FH through the middle13%−2.7±0.0−1.4−4.0±2.2
BH down the line6%−0.5−2.2±0.0−2.7±2.3
FH inside-in5%+0.7+0.6−2.1−0.8±3.1

Lean BH crosscourt: +1.7±2.0 per 100 returns v the current mix (98 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 on hard. Each player's hard record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Amanda Coetzer

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally−1.3±5.2+1.2−2.6
FH to the middle · rally−1.4±3.9+0.9−2.2
BH to their backhand · rally−3.8±4.5−2.1−1.7
FH to their backhand · rally−4.0±5.7−2.3−1.7
BH to the middle · rally−5.6±3.5−2.8−2.9

Avoid

ShotEdgeOwnTheirs
BH to the middle · rally−5.6±3.5−2.8−2.9
FH to their backhand · rally−4.0±5.7−2.3−1.7
BH to their backhand · rally−3.8±4.5−2.1−1.7
FH to the middle · rally−1.4±3.9+0.9−2.2
FH to their forehand · rally−1.3±5.2+1.2−2.6

Nadia Podoroska

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+4.8±4.7+2.5+2.3
BH to their backhand · rally+0.3±4.9−1.9+2.2
FH to their backhand · rally−1.8±5.5+0.2−2.1

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−1.8±5.5+0.2−2.1
BH to their backhand · rally+0.3±4.9−1.9+2.2
FH to their forehand · rally+4.8±4.7+2.5+2.3

Against Nadia Podoroska-like opponents

Amanda Coetzer vMatchesServe pts wonReturn pts won
All charted opponents–41.1%37.7%

Similar by tactical fingerprint: Diana Shnaider, Ashlyn Krueger, Bianca Andreescu, Jasmine Paolini, Maya Joint, Maria Sakkari, Nao Hibino, Irina Camelia Begu, Andrea Petkovic, Dominika Cibulkova. When two players have rarely met, their records against these lookalikes fill the gap.