RallyIQ

Game plan

Ashlyn Krueger v Nadia Podoroska

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

Forecast

Ashlyn Krueger wins, best of 3 96%90%: 71%–100% · best of 5: 98%
Serve points won 66.9% / 53.4% Ashlyn / Nadia · tour 58.1%
Strengths only, no similarity priors 96%serve 66.9% / 53.6%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Ashlyn Krueger's record against Nadia Podoroska's tactical lookalikes and in their charted head-to-heads (lookalikes: −0.6 on serve, +3.6 on return vs expectation (136 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

CareerAshlynNadia
Direction choice+0.02 ±0.08
better than 57%
−0.12 ±0.12
better than 33%
Shot selection+0.13 ±0.12
better than 59%
+0.26 ±0.15
better than 74%
Execution−0.34 ±0.51
better than 40%
−1.45 ±0.80
better than 11%
Points left on the table2.40 ±0.13
lower than 76%
2.72 ±0.10
lower than 30%

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.

Ashlyn Krueger serving

Deuce court

1st serveNowAshlyn winsv NadiaMatchupOptimal
Wide34%61%71%66.9%±8.834%
Body27%54%65%61.7%±9.812% ▼
T39%76%69%76.9%±7.354% ▲

Optimal v Nadia Podoroska: +0.9±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +7.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAshlyn winsv NadiaMatchupOptimal
Wide31%66%70%70.1%±8.441% ▲
Body18%52%62%58.0%±11.42% ▼
T51%68%64%67.6%±8.757% ▲

Optimal v Nadia Podoroska: +1.1±1.1 per 100 first serves (faults included) over the current mix. Serving wide every time would read +3.4 per 100 first serves in before the returner adjusts.

Nadia Podoroska serving

Deuce court

1st serveNowNadia winsv AshlynMatchupOptimal
Wide36%57%66%57.0%±9.036%
Body21%50%59%51.4%±10.66% ▼
T43%66%69%67.2%±9.058% ▲

Optimal v Ashlyn Krueger: +1.0±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowNadia winsv AshlynMatchupOptimal
Wide34%60%65%59.7%±9.249% ▲
Body23%64%59%66.8%±10.223%
T43%55%63%53.7%±9.228% ▼

Optimal v Ashlyn Krueger: +0.5±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +8.0 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.

Ashlyn Krueger returning

1st serve to the forehand

ReturnNowTourOwnv NadiaValue
FH through the middle44%+4.2−2.4+0.8+2.6±2.8
FH crosscourt32%+5.3−0.8−0.3+4.1±4.1
FH slice through the middle11%−6.7+0.6−0.4−6.4±2.3
FH down the line8%+1.5−0.2+0.5+1.8±4.7
FH slice crosscourt5%−6.6+1.0+1.0−4.7±2.3

Lean FH crosscourt: +2.5±3.1 per 100 returns v the current mix (422 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv NadiaValue
BH through the middle45%+6.0+0.7−0.1+6.6±2.7
BH crosscourt26%+7.7+2.3+0.8+10.8±3.6
BH slice through the middle14%−6.2+1.4−1.4−6.2±2.4
BH down the line8%+2.2+1.4+2.1+5.7±4.5
BH slice crosscourt4%−4.2+0.5+0.7−3.0±2.6

Lean BH crosscourt: +5.9±3.0 per 100 returns v the current mix (337 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv NadiaValue
FH crosscourt47%+0.5+4.7−1.7+3.5±4.4
FH through the middle47%−3.2−0.3−0.9−4.4±3.1
FH down the line6%−0.6−1.0−1.5−3.0±4.0

Lean FH crosscourt: +4.1±2.7 per 100 returns v the current mix (81 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv NadiaValue
BH through the middle50%−2.6−1.7+0.8−3.5±2.8
BH crosscourt34%+1.5−0.9+2.7+3.3±3.7
BH down the line16%−0.5+0.1−0.7−1.1±4.8

Lean BH crosscourt: +4.1±2.9 per 100 returns v the current mix (135 returns charted)

Nadia Podoroska returning

1st serve to the forehand

ReturnNowTourOwnv AshlynValue
FH through the middle42%+4.2−0.8+1.7+5.0±2.8
FH crosscourt19%+5.3+0.1+0.9+6.2±4.3
FH slice through the middle19%−6.7−0.1−1.0−7.8±2.5
FH down the line11%+1.5+2.0−2.8+0.7±4.2
FH slice crosscourt8%−6.6+1.2±0.0−5.4±2.2

Lean FH crosscourt: +4.7±3.7 per 100 returns v the current mix (144 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AshlynValue
BH through the middle56%+6.0+0.4+0.1+6.5±2.6
BH crosscourt26%+7.7−0.4−2.2+5.1±3.6
BH down the line10%+2.2−1.2+2.0+3.0±4.4
BH slice through the middle5%−6.2+0.5−2.8−8.6±2.2
BH slice down the line3%−12.5+0.8−0.2−11.9±2.1

Lean BH through the middle: +2.0±1.5 per 100 returns v the current mix (171 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AshlynValue
BH through the middle41%−2.6+0.8+0.6−1.2±2.7
BH crosscourt30%+1.5−1.0−1.3−0.9±3.6
FH through the middle13%−2.7±0.0+0.1−2.6±2.3
BH down the line6%−0.5−2.2−2.0−4.7±4.3
FH inside-in5%+0.7+0.6−2.1−0.7±3.9

Lean BH crosscourt: +0.7±2.8 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 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.

Ashlyn Krueger

Favour

ShotEdgeOwnTheirs
BH to their backhand · return+5.1±3.2+2.8+2.4
FH to their backhand · return +1+4.7±5.3+2.2+2.4
BH to their backhand · rally+3.3±3.8+1.4+1.9
BH to their backhand · return +1+3.3±3.4+2.4+0.9
FH to the middle · return+2.6±3.4−1.2+3.7
FH to their forehand · return+2.0±4.1+3.4−1.4

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−5.9±4.3−4.5−1.5
FH to their forehand · return +1−5.4±3.8−3.9−1.5
FH to the middle · serve +1−4.3±3.2−4.0−0.3
BH to the middle · rally−3.7±2.2−1.3−2.3
BH to the middle · return−2.9±3.0−1.9−1.0

Nadia Podoroska

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+5.7±4.6+5.7+0.1
BH to the middle · return+1.3±2.9+0.5+0.8
BH to their backhand · rally+1.1±3.9+0.1+1.0
FH to the middle · return +1+0.9±2.7+0.6+0.3
FH to their backhand · rally+0.6±3.5−1.5+2.1
FH to the middle · return+0.1±3.1−0.8+0.9

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−5.5±4.4−6.9+1.5
BH to their backhand · return−5.0±4.2−3.3−1.7
FH to their forehand · serve +1−4.1±4.7−4.7+0.6
FH to the middle · serve +1−3.5±2.6−2.2−1.3
BH to the middle · rally−3.4±2.8−2.8−0.6

Against Nadia Podoroska-like opponents

Ashlyn Krueger vMatchesServe pts wonReturn pts won
All charted opponents–57.5%41.7%
Players most similar to Nadia Podoroska1 59.0%48.0%

Similar by tactical fingerprint: Diana Shnaider, 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.