RallyIQ

Game plan

Marat Safin v Rafael Nadal

Every number combines what Marat Safin 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

Marat Safin wins, best of 3 22%90%: 9%–42% · best of 5: 17%
Serve points won 60.5% / 66.7% Marat / Rafael · tour 63.4%
Strengths only, no similarity priors 26%serve 61.0% / 66.0%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Marat Safin's record against Rafael Nadal's tactical lookalikes and in their charted head-to-heads (lookalikes: −1.6 on serve, −2.3 on return vs expectation (1311 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

CareerMaratRafael
Direction choice+0.12 ±0.04
better than 84%
+0.02 ±0.03
better than 62%
Shot selection−0.07 ±0.10
better than 44%
+0.38 ±0.05
better than 85%
Execution−0.19 ±0.22
better than 58%
+1.32 ±0.10
better than 99%
Points left on the table2.39 ±0.07
lower than 74%
2.66 ±0.04
lower than 43%

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.

Marat Safin serving

Deuce court

1st serveNowMarat winsv RafaelMatchupOptimal
Wide36%76%66%70.0%±2.730% ▼
Body7%67%58%61.6%±5.60% ▼
T57%77%74%76.5%±2.270% ▲

Optimal v Rafael Nadal: +0.5±0.4 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMarat winsv RafaelMatchupOptimal
Wide53%74%71%72.7%±2.566% ▲
Body6%73%57%68.1%±6.00% ▼
T41%75%66%69.1%±2.834% ▼

Optimal v Rafael Nadal: +0.2±0.4 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.8 per 100 first serves in before the returner adjusts.

Rafael Nadal serving

Deuce court

1st serveNowRafael winsv MaratMatchupOptimal
Wide31%75%72%73.6%±2.344% ▲
Body18%64%64%64.8%±4.65% ▼
T51%69%75%69.3%±2.651%

Optimal v Marat Safin: +0.6±0.5 per 100 first serves (faults included) over the current mix. Serving wide every time would read +3.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRafael winsv MaratMatchupOptimal
Wide54%71%71%69.9%±2.467% ▲
Body18%67%65%68.7%±4.95% ▼
T28%75%73%76.0%±2.528%

Optimal v Marat Safin: +0.2±0.5 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.6 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.

Marat Safin returning

1st serve to the forehand

ReturnNowTourOwnv RafaelValue
FH through the middle45%+4.3−1.5−0.9+1.9±1.2
FH down the line22%+1.7+1.4+0.1+3.1±2.5
FH crosscourt22%+5.5−2.1+1.7+5.1±2.2
FH slice through the middle5%−4.2+0.7±0.0−3.6±1.9
FH slice down the line2%−4.3−0.1−3.6−8.0±3.2
BH through the middle1%+6.6−0.1+0.7+7.1±1.8

Lean BH through the middle: +4.8±2.0 per 100 returns v the current mix (1806 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RafaelValue
BH crosscourt34%+8.8−0.6+4.3+12.5±1.6
BH through the middle34%+6.4−0.5+0.7+6.6±1.1
BH slice through the middle11%−4.2−3.7+1.9−6.0±1.6
BH down the line11%+4.2+0.1−1.0+3.3±2.8
BH slice crosscourt6%+0.5−5.2+3.6−1.1±2.4

Lean BH crosscourt: +6.9±1.2 per 100 returns v the current mix (1839 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RafaelValue
FH through the middle47%−3.5+1.6−0.4−2.3±1.5
FH crosscourt27%−0.2±0.0−0.7−1.0±2.9
FH down the line23%−1.8−0.8+0.4−2.1±3.3
BH inside-in2%+2.5−2.6−0.2−0.3±2.3
BH through the middle2%+0.1+1.0+0.1+1.3±1.3

Lean FH crosscourt: +0.8±2.4 per 100 returns v the current mix (678 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv RafaelValue
BH crosscourt49%+1.0−0.4−0.2+0.4±1.4
BH through the middle37%−2.9−0.6+0.1−3.4±1.1
BH down the line12%−0.2+1.7−1.3+0.2±3.3
BH slice through the middle1%−11.3−0.4−0.9−12.6±2.2
BH slice crosscourt0%−4.0+0.4−2.6−6.2±2.2

Lean BH crosscourt: +1.6±0.9 per 100 returns v the current mix (1511 returns charted)

Rafael Nadal returning

1st serve to the forehand

ReturnNowTourOwnv MaratValue
FH through the middle46%+4.3+0.4−1.6+3.0±1.3
FH crosscourt31%+5.5+2.4−4.0+3.9±2.4
FH down the line16%+1.7−0.8−3.1−2.2±2.7
FH slice through the middle3%−4.2+0.1+0.6−3.5±1.9
FH slice crosscourt2%−4.3+7.5+0.5+3.6±2.8
BH through the middle0%+6.6+0.4−1.7+5.2±2.2

Lean BH through the middle: +3.0±2.4 per 100 returns v the current mix (5711 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MaratValue
BH through the middle38%+6.4−0.2−1.7+4.5±1.2
BH crosscourt19%+8.8−1.2−3.0+4.6±2.3
BH slice through the middle17%−4.2+2.1+1.0−1.1±1.2
BH down the line15%+4.2+3.3−3.5+4.1±2.5
BH slice down the line7%−8.4+5.7±0.0−2.7±2.2
FH through the middle1%+7.7+2.5−1.6+8.6±2.1

Lean FH through the middle: +5.9±2.2 per 100 returns v the current mix (9039 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MaratValue
FH crosscourt48%−0.2+0.7−0.6−0.1±2.6
FH through the middle33%−3.5−2.6+0.1−6.0±1.6
FH down the line17%−1.8+3.8+0.4+2.5±3.2
BH inside-out1%+0.9+0.3−0.5+0.7±3.0
FH slice through the middle1%−12.7−0.2+3.1−9.8±2.2

Lean FH down the line: +4.2±3.0 per 100 returns v the current mix (2037 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MaratValue
BH through the middle35%−2.9+2.0+0.3−0.6±1.0
BH crosscourt28%+1.0−1.0−2.4−2.4±2.0
BH down the line17%−0.2+1.8−0.5+1.1±2.3
FH through the middle9%−2.9+1.2+0.1−1.6±1.4
FH inside-in8%+0.6+1.5−0.6+1.5±2.9

Lean FH inside-in: +2.3±2.8 per 100 returns v the current mix (5854 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.

Marat Safin

Favour

ShotEdgeOwnTheirs
BH volley to the middle · rally+5.3±4.8+5.4−0.1
BH to their forehand · return+3.3±2.1+0.2+3.1
FH volley to their backhand · serve +1+3.1±4.5−2.6+5.6
FH volley to the middle · rally+2.9±5.2+2.4+0.5
FH volley to their backhand · rally+2.8±4.1−0.7+3.5
BH to their forehand · serve +1+1.9±2.3+0.3+1.5

Avoid

ShotEdgeOwnTheirs
FH volley to their forehand · rally−11.1±3.8−4.0−7.0
BH slice to their backhand · rally−7.8±1.3−4.1−3.8
BH slice to their backhand · return +1−7.7±2.1−4.6−3.1
BH slice to their backhand · return−6.3±2.2−4.0−2.3
FH slice to their forehand · rally−6.2±3.6−1.9−4.3

Rafael Nadal

Favour

ShotEdgeOwnTheirs
BH volley to their forehand · rally+14.7±4.7+11.2+3.5
FH volley to their backhand · rally+9.8±4.7+9.1+0.7
FH volley to their backhand · serve +1+7.9±5.1+5.5+2.4
FH slice to their backhand · return+6.2±3.0+5.7+0.5
BH slice to their forehand · rally+5.8±2.1+4.3+1.5
BH volley to their forehand · serve +1+4.4±5.4+6.9−2.5

Avoid

ShotEdgeOwnTheirs
BH volley to their backhand · serve +1−7.2±4.8−3.0−4.3
FH slice to their forehand · rally−3.9±3.4−4.6+0.7
FH to their forehand · return−3.0±2.1−1.2−1.9
Smash to their forehand · rally−2.6±3.6+0.6−3.2
BH to their backhand · return−1.9±1.2+0.5−2.4

Against Rafael Nadal-like opponents

Marat Safin vMatchesServe pts wonReturn pts won
All charted opponents–65.2%36.1%
Players most similar to Rafael Nadal7 61.1%34.3%

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.