RallyIQ

Game plan

Nadia Podoroska v Elsa Jacquemot

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

Forecast

Nadia Podoroska wins, best of 3 25%90%: 4%–66% · best of 5: 20%
Serve points won 53.8% / 58.9% Nadia / Elsa · tour 55.0%
Strengths only, no similarity priors 25%serve 53.8% / 58.9%

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. At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Nadia Podoroska's record against Elsa Jacquemot'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

CareerNadiaElsa
Direction choice−0.12 ±0.12
better than 33%
+0.03 ±0.09
better than 59%
Shot selection+0.26 ±0.15
better than 74%
−0.54 ±0.62
better than 10%
Execution−1.45 ±0.80
better than 11%
+1.04 ±0.85
better than 93%

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.

Nadia Podoroska serving

Deuce court

1st serveNowNadia winsv ElsaMatchupOptimal
Wide36%57%71%62.4%±11.451% ▲
Body21%50%53%46.2%±11.96% ▼
T43%66%69%66.9%±11.743%

Optimal v Elsa Jacquemot: +0.7±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowNadia winsv ElsaMatchupOptimal
Wide34%60%66%60.5%±11.949% ▲
Body23%64%49%57.1%±12.515% ▼
T43%55%64%54.8%±11.936% ▼

Optimal v Elsa Jacquemot: +0.6±1.1 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.

Elsa Jacquemot serving

Deuce court

1st serveNowElsa winsv NadiaMatchupOptimal
Wide52%60%71%66.1%±9.954% ▲
Body14%57%65%65.2%±13.10% ▼
T34%72%69%73.1%±10.946% ▲

Optimal v Nadia Podoroska: +0.4±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowElsa winsv NadiaMatchupOptimal
Wide47%74%70%77.2%±8.663% ▲
Body20%58%62%64.3%±13.15% ▼
T33%63%64%61.8%±12.032%

Optimal v Nadia Podoroska: +1.0±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +7.6 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.

Nadia Podoroska returning

1st serve to the forehand

ReturnNowTourOwnv ElsaValue
FH through the middle42%+4.2−0.8+2.2+5.6±3.2
FH crosscourt19%+5.3+0.1+0.2+5.6±4.3
FH slice through the middle19%−6.7−0.1−0.4−7.2±2.5
FH down the line11%+1.5+2.0−4.0−0.5±4.0
FH slice crosscourt8%−6.6+1.2±0.0−5.4±2.2

Lean FH through the middle: +4.0±2.1 per 100 returns v the current mix (144 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ElsaValue
BH through the middle56%+6.0+0.4−2.0+4.4±2.9
BH crosscourt26%+7.7−0.4−0.5+6.8±3.5
BH down the line10%+2.2−1.2−2.4−1.5±4.0
BH slice through the middle5%−6.2+0.5−1.6−7.4±1.9
BH slice down the line3%−12.5+0.8−0.8−12.4±2.1

Lean BH crosscourt: +3.5±3.1 per 100 returns v the current mix (171 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv ElsaValue
BH through the middle41%−2.6+0.8−3.9−5.7±2.6
BH crosscourt30%+1.5−1.0+2.2+2.7±2.9
FH through the middle13%−2.7±0.0+2.4−0.3±2.4
BH down the line6%−0.5−2.2±0.0−2.7±2.3
FH inside-in5%+0.7+0.6+1.1+2.4±3.9

Lean BH crosscourt: +4.2±2.4 per 100 returns v the current mix (98 returns charted)

Elsa Jacquemot returning

1st serve to the forehand

ReturnNowTourOwnv NadiaValue
FH through the middle41%+4.2+0.8+0.8+5.8±3.0
FH down the line34%+1.5+3.7+0.5+5.7±4.7
FH slice through the middle13%−6.7−0.5−0.4−7.6±2.0
FH crosscourt11%+5.3+1.0−0.3+6.0±3.8

Lean FH through the middle: +1.8±2.5 per 100 returns v the current mix (90 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv NadiaValue
BH through the middle44%+6.0+2.5−0.1+8.4±2.8
BH crosscourt25%+7.7+2.7+0.8+11.3±3.5
BH slice through the middle17%−6.2+0.4−1.4−7.2±2.1
BH down the line14%+2.2+0.7+2.1+5.0±4.0

Lean BH crosscourt: +5.3±3.0 per 100 returns v the current mix (72 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 clay. Each player's clay record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Nadia Podoroska

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+6.9±4.4+3.8+3.1
BH to their backhand · rally+1.7±4.0+0.8+0.8
BH to their backhand · return +1+0.3±4.3−1.0+1.3
FH to their backhand · serve +1+0.3±5.0−2.1+2.4
FH to the middle · return−0.3±3.4−2.1+1.8
FH to their forehand · serve +1−0.4±5.1+0.4−0.8

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−3.5±5.9−6.8+3.3
BH to their backhand · serve +1−3.0±4.7−2.1−0.9
BH to the middle · rally−2.0±2.9−2.4+0.4
FH to the middle · rally−1.9±3.2−0.2−1.7
FH to their backhand · rally−1.7±4.8−4.4+2.6

Elsa Jacquemot

Favour

ShotEdgeOwnTheirs
BH to their backhand · rally+4.6±3.9+3.0+1.6
BH to their backhand · return+4.1±4.3+1.9+2.3
BH to the middle · return+3.5±3.3+2.2+1.3
FH to their backhand · return+3.3±5.4+3.2+0.1
FH to their backhand · serve +1+3.1±5.0+0.6+2.5
FH to their forehand · rally+3.0±4.7−0.2+3.2

Avoid

ShotEdgeOwnTheirs
BH to the middle · rally−1.0±3.0+1.6−2.6
FH to their backhand · rally+0.3±4.6+1.0−0.7
BH to their backhand · return +1+0.5±4.5+0.4+0.1
FH to the middle · rally+1.9±3.3−0.1+2.0
FH to the middle · return+2.1±3.5+0.4+1.6

Against Elsa Jacquemot-like opponents

Nadia Podoroska vMatchesServe pts wonReturn pts won
All charted opponents–52.4%37.7%