RallyIQ

Game plan

Rafael Nadal v Michael Chang

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

Forecast

Rafael Nadal wins, best of 3 96%90%: 85%–99% · best of 5: 98%
Serve points won 69.5% / 55.9% Rafael / Michael · tour 65.7%
Strengths only, no similarity priors 96%serve 69.9% / 55.7%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Rafael Nadal's record against Michael Chang's tactical lookalikes and in their charted head-to-heads (lookalikes: −0.5 on serve, −0.2 on return vs expectation (5896 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

CareerRafaelMichael
Direction choice+0.02 ±0.03
better than 62%
−0.01 ±0.13
better than 54%
Shot selection+0.38 ±0.05
better than 85%
−0.02 ±0.19
better than 49%
Execution+1.32 ±0.10
better than 99%
+1.06 ±0.36
better than 96%
Points left on the table2.66 ±0.04
lower than 43%
2.88 ±0.27
lower than 26%

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.

Rafael Nadal serving

Deuce court

1st serveNowRafael winsv MichaelMatchupOptimal
Wide31%75%75%76.7%±3.144% ▲
Body18%64%59%60.4%±6.25% ▼
T51%69%79%73.9%±3.951%

Optimal v Michael Chang: +1.1±0.6 per 100 first serves (faults included) over the current mix. Serving wide every time would read +4.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRafael winsv MichaelMatchupOptimal
Wide54%71%67%65.9%±3.541% ▼
Body18%67%62%66.3%±6.418%
T28%75%74%77.0%±3.641% ▲

Optimal v Michael Chang: +0.4±0.5 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +7.9 per 100 first serves in before the returner adjusts.

Michael Chang serving

Deuce court

1st serveNowMichael winsv RafaelMatchupOptimal
Wide41%65%66%57.5%±3.837% ▼
Body8%56%58%50.7%±7.40% ▼
T50%69%74%67.9%±3.663% ▲

Optimal v Rafael Nadal: +0.4±0.5 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMichael winsv RafaelMatchupOptimal
Wide48%65%71%64.0%±3.661% ▲
Body7%59%57%52.6%±8.00% ▼
T44%63%66%56.9%±4.139% ▼

Optimal v Rafael Nadal: +0.4±0.5 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.0 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.

Rafael Nadal returning

1st serve to the forehand

ReturnNowTourOwnv MichaelValue
FH through the middle46%+4.3+0.4+1.2+5.9±1.5
FH crosscourt31%+5.5+2.4+2.7+10.6±2.6
FH down the line16%+1.7−0.8+4.4+5.3±2.9
FH slice through the middle3%−4.2+0.1+2.7−1.4±2.1
FH slice crosscourt2%−4.3+7.5+0.9+4.1±2.5

Lean FH crosscourt: +3.7±2.0 per 100 returns v the current mix (5711 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MichaelValue
BH through the middle38%+6.4−0.2−0.1+6.1±1.7
BH crosscourt19%+8.8−1.2+2.0+9.6±2.7
BH slice through the middle17%−4.2+2.1+5.0+2.8±1.5
BH down the line15%+4.2+3.3+2.4+9.9±2.9
BH slice down the line7%−8.4+5.7+5.7+3.0±2.3
FH inside-in0%+8.0+2.3+2.7+13.1±3.6

Lean FH inside-in: +6.7±3.7 per 100 returns v the current mix (9039 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MichaelValue
FH crosscourt48%−0.2+0.7+2.4+2.8±2.6
FH through the middle33%−3.5−2.6+2.5−3.6±1.9
FH down the line17%−1.8+3.8+1.6+3.7±3.3
BH inside-out1%+0.9+0.3+0.4+1.6±3.6
FH slice through the middle1%−12.7−0.2+1.7−11.1±1.8

Lean FH down the line: +3.0±3.1 per 100 returns v the current mix (2037 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv MichaelValue
BH through the middle35%−2.9+2.0+2.2+1.2±1.7
BH crosscourt28%+1.0−1.0+0.4+0.4±2.5
BH down the line17%−0.2+1.8+0.4+2.0±3.3
FH through the middle9%−2.9+1.2+2.5+0.9±1.6
FH inside-in8%+0.6+1.5+2.4+4.5±2.9

Lean FH inside-in: +3.1±2.9 per 100 returns v the current mix (5854 returns charted)

Michael Chang returning

1st serve to the forehand

ReturnNowTourOwnv RafaelValue
FH through the middle53%+4.3+1.7−0.9+5.1±1.5
FH down the line29%+1.7+2.6+0.1+4.4±2.9
FH crosscourt17%+5.5−2.6+1.7+4.6±3.1
BH through the middle1%+6.6+0.4+0.7+7.6±1.4

Lean FH through the middle: +0.3±1.2 per 100 returns v the current mix (676 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv RafaelValue
BH through the middle44%+6.4−2.4+0.7+4.7±1.5
BH crosscourt32%+8.8+5.1+4.3+18.2±2.1
BH down the line12%+4.2+4.0−1.0+7.2±3.3
BH slice through the middle6%−4.2−0.9+1.9−3.2±1.9
BH slice crosscourt4%+0.5+2.1+3.6+6.2±2.5

Lean BH crosscourt: +9.6±1.6 per 100 returns v the current mix (718 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RafaelValue
FH through the middle47%−3.5+1.7−0.4−2.3±1.9
FH down the line26%−1.8+0.9+0.4−0.5±3.7
FH crosscourt26%−0.2+1.4−0.7+0.5±3.3
BH inside-in2%+2.5−0.4−0.2+1.9±1.8

Lean FH crosscourt: +1.5±2.8 per 100 returns v the current mix (286 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv RafaelValue
BH crosscourt50%+1.0+1.5−0.2+2.3±2.0
BH through the middle35%−2.9+1.0+0.1−1.8±1.6
BH down the line12%−0.2+3.9−1.3+2.3±3.9
FH through the middle2%−2.9−1.0−0.4−4.3±1.4
FH inside-out1%+1.0+0.4+0.4+1.7±2.2

Lean BH down the line: +1.6±3.6 per 100 returns v the current mix (486 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.

Rafael Nadal

Favour

ShotEdgeOwnTheirs
BH volley to their forehand · rally+18.2±6.4+16.7+1.5
FH volley to their backhand · serve +1+8.4±6.1+5.5+2.9
BH slice to their forehand · rally+8.3±3.2+5.3+3.0
FH to their backhand · return+7.1±4.2+1.5+5.6
FH to their backhand · return +1+6.3±4.4+3.7+2.6
BH slice to the middle · return+6.2±2.5+3.0+3.2

Avoid

ShotEdgeOwnTheirs
FH volley to their forehand · rally−0.2±6.7−1.0+0.8
BH volley to their backhand · serve +1−0.1±6.7−3.3+3.2
BH slice to their backhand · serve +1+0.1±3.4−0.2+0.4
BH to their forehand · rally+0.7±2.4+1.0−0.3
BH volley to their backhand · rally+0.8±6.9+0.3+0.5

Michael Chang

Favour

ShotEdgeOwnTheirs
BH to their forehand · return+9.0±4.8+6.6+2.4
BH to their backhand · return+6.5±3.7+3.9+2.7
FH volley to their backhand · rally+6.3±6.2−0.3+6.6
BH volley to their forehand · rally+5.8±7.1−4.7+10.5
FH to their backhand · return+4.3±4.3+4.4−0.1
BH lob to the middle · rally+3.7±3.4+2.5+1.1

Avoid

ShotEdgeOwnTheirs
FH volley to their forehand · rally−11.3±6.0−2.1−9.2
Smash to their forehand · rally−10.3±4.8−2.5−7.7
FH to their forehand · serve +1−3.8±3.9−1.9−1.9
FH to their forehand · return−3.6±4.9−1.2−2.5
BH slice to their backhand · rally−3.1±2.2−0.3−2.8

Against Michael Chang-like opponents

Rafael Nadal vMatchesServe pts wonReturn pts won
All charted opponents–66.0%40.1%
Players most similar to Michael Chang34 64.5%39.3%

Similar by tactical fingerprint: Andy Murray, Marcos Baghdatis, Lleyton Hewitt, Andy Roddick, David Nalbandian, Marat Safin, Juan Carlos Ferrero, Arnaud Clement, Magnus Norman, Aaron Krickstein. When two players have rarely met, their records against these lookalikes fill the gap.