RallyIQ

Game plan

Paradorn Srichaphan v Rafael Nadal

Every number combines what Paradorn Srichaphan does well with what Rafael Nadal allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Paradorn Srichaphan wins, best of 3 4%90%: 0%–22% · best of 5: 2%
Serve points won 52.7% / 66.0% Paradorn / Rafael · tour 61.3%
Strengths only, no similarity priors 3%serve 52.3% / 66.8%

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. At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Paradorn Srichaphan's record against Rafael Nadal's tactical lookalikes and in their charted head-to-heads (head-to-head: +6.9 on serve, +13.2 on return vs expectation (182 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

CareerParadornRafael
Direction choice+0.22 ±0.15
better than 96%
+0.02 ±0.03
better than 62%
Shot selection−0.64 ±0.35
better than 7%
+0.38 ±0.05
better than 85%
Execution+0.61 ±0.94
better than 86%
+1.32 ±0.10
better than 99%

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.

Paradorn Srichaphan serving

Deuce court

1st serveNowParadorn winsv RafaelMatchupOptimal
Wide42%70%66%62.7%±7.933% ▼
Body4%68%58%62.6%±13.70% ▼
T54%83%74%82.7%±6.267% ▲

Optimal v Rafael Nadal: +0.6±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +9.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowParadorn winsv RafaelMatchupOptimal
Wide59%74%71%73.1%±7.372% ▲
Body8%63%57%56.6%±12.90% ▼
T34%65%66%58.6%±9.428% ▼

Optimal v Rafael Nadal: +0.9±0.7 per 100 first serves (faults included) over the current mix. Serving wide every time would read +6.1 per 100 first serves in before the returner adjusts.

Rafael Nadal serving

Deuce court

1st serveNowRafael winsv ParadornMatchupOptimal
Wide31%75%81%82.2%±6.344% ▲
Body18%64%62%63.5%±12.65% ▼
T51%69%70%64.3%±7.651%

Optimal v Paradorn Srichaphan: +1.0±0.8 per 100 first serves (faults included) over the current mix. Serving wide every time would read +12.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRafael winsv ParadornMatchupOptimal
Wide54%71%70%68.0%±7.154%
Body18%67%61%64.7%±12.15% ▼
T28%75%76%78.4%±6.641% ▲

Optimal v Paradorn Srichaphan: +0.7±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +8.1 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.

Paradorn Srichaphan returning

1st serve to the forehand

ReturnNowTourOwnv RafaelValue
FH through the middle33%+4.3−1.6−0.9+1.8±2.2
FH slice through the middle24%−4.2−0.2±0.0−4.5±1.9
FH crosscourt19%+5.5+1.5+1.7+8.7±3.0
FH slice crosscourt10%−4.3−1.4+1.5−4.3±2.2
FH slice down the line9%−4.3+1.3−3.6−6.5±2.7

Lean FH crosscourt: +8.4±2.6 per 100 returns v the current mix (100 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RafaelValue
BH slice through the middle29%−4.2+2.3+1.9±0.0±1.9
BH slice crosscourt19%+0.5+2.4+3.6+6.5±2.5
BH slice down the line17%−8.4+3.4−3.0−8.0±2.8
BH through the middle17%+6.4±0.0+0.7+7.1±2.0
BH down the line10%+4.2−0.2−1.0+3.0±2.9

Lean BH through the middle: +4.6±1.9 per 100 returns v the current mix (156 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv RafaelValue
BH through the middle43%−2.9−1.0+0.1−3.8±1.9
BH down the line28%−0.2−2.7−1.3−4.2±3.7
BH crosscourt21%+1.0−1.6−0.2−0.8±2.3
BH slice through the middle8%−11.3+0.2−0.9−11.9±2.0

Lean BH crosscourt: +3.1±2.2 per 100 returns v the current mix (92 returns charted)

Rafael Nadal returning

1st serve to the forehand

ReturnNowTourOwnv ParadornValue
FH through the middle46%+4.3+0.4+0.8+5.4±2.3
FH crosscourt31%+5.5+2.4−0.8+7.1±3.2
FH down the line16%+1.7−0.8−0.3+0.6±3.3
FH slice through the middle3%−4.2+0.1−0.3−4.4±1.7
FH slice crosscourt2%−4.3+7.5±0.0+3.1±1.9
BH through the middle0%+6.6+0.4+1.0+7.9±2.7

Lean BH through the middle: +3.2±3.1 per 100 returns v the current mix (5711 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ParadornValue
BH through the middle38%+6.4−0.2+1.0+7.2±2.1
BH crosscourt19%+8.8−1.2−2.7+5.0±2.0
BH slice through the middle17%−4.2+2.1−0.3−2.4±1.8
BH down the line15%+4.2+3.3−0.8+6.7±3.2
BH slice down the line7%−8.4+5.7+0.9−1.8±2.6
FH through the middle1%+7.7+2.5+0.8+11.0±2.6

Lean FH through the middle: +6.9±2.8 per 100 returns v the current mix (9039 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ParadornValue
FH crosscourt48%−0.2+0.7+2.0+2.5±3.1
FH through the middle33%−3.5−2.6−0.6−6.7±2.2
FH down the line17%−1.8+3.8−2.9−0.9±3.7
BH inside-out1%+0.9+0.3+0.1+1.3±4.1
FH slice through the middle1%−12.7−0.2±0.0−12.8±1.3

Lean FH crosscourt: +3.7±1.9 per 100 returns v the current mix (2037 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv ParadornValue
BH through the middle35%−2.9+2.0−0.3−1.2±1.9
BH crosscourt28%+1.0−1.0−1.4−1.4±2.1
BH down the line17%−0.2+1.8+0.1+1.7±3.8
FH through the middle9%−2.9+1.2−0.6−2.2±1.9
FH inside-in8%+0.6+1.5+2.0+4.1±3.4

Lean FH inside-in: +4.7±3.3 per 100 returns v the current mix (5854 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.

Paradorn Srichaphan

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+2.5±3.2+4.0−1.5
BH to their forehand · rally+2.0±3.3+1.3+0.8
FH to their backhand · rally+0.7±2.6−0.9+1.5
BH to their backhand · rally+0.2±2.1+1.5−1.3
FH to their backhand · serve +1−0.5±2.9−1.6+1.1
BH to the middle · return−0.7±2.6−2.9+2.2

Avoid

ShotEdgeOwnTheirs
BH slice to their backhand · rally−4.8±2.1−0.3−4.5
FH to their forehand · rally−4.4±3.6−2.7−1.8
BH to the middle · rally−1.0±1.8−0.9−0.1
BH to the middle · return−0.7±2.6−2.9+2.2
FH to their backhand · serve +1−0.5±2.9−1.6+1.1

Rafael Nadal

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+3.1±2.7+1.0+2.1
FH to their forehand · rally+2.9±3.6+2.5+0.4
FH to their backhand · rally+2.7±2.4+2.6+0.2
FH to the middle · return+1.5±2.2+1.1+0.5
FH to their forehand · serve +1+1.1±3.0+2.9−1.8
BH to the middle · return+0.5±2.6+1.9−1.4

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−2.3±2.1+1.2−3.5
BH to their backhand · return−0.4±3.3+0.8−1.3
BH to the middle · return+0.5±2.6+1.9−1.4
FH to their forehand · serve +1+1.1±3.0+2.9−1.8
FH to the middle · return+1.5±2.2+1.1+0.5

Against Rafael Nadal-like opponents

Paradorn Srichaphan vMatchesServe pts wonReturn pts won
All charted opponents–65.0%33.5%
Rafael Nadal (charted head-to-head)1 67.1%47.0%

Similar by tactical fingerprint: Cameron Norrie, Lorenzo Musetti, Mariano Navone, Yoshihito Nishioka, Albert Ramos, Federico Delbonis, Fernando Verdasco, Juan Martin Del Potro, Nikolay Davydenko, Juan Carlos Ferrero. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head