RallyIQ

Game plan

Rafael Nadal v Gael Monfils

Every number combines what Rafael Nadal does well with what Gael Monfils 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 86%90%: 68%–95% · best of 5: 91%
Serve points won 65.6% / 57.2% Rafael / Gael · tour 63.4%
Strengths only, no similarity priors 82%serve 66.2% / 59.1%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Gael Monfils's tactical lookalikes and in their charted head-to-heads (lookalikes: −6.5 on serve, +4.9 on return vs expectation (993 points); head-to-head: +6.4 on serve, +4.6 on return vs expectation (540 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

CareerRafaelGael
Direction choice+0.02 ±0.03
better than 62%
−0.08 ±0.05
better than 35%
Shot selection+0.38 ±0.05
better than 85%
−0.10 ±0.07
better than 40%
Execution+1.32 ±0.10
better than 99%
+0.40 ±0.24
better than 82%
Points left on the table2.66 ±0.04
lower than 43%
2.57 ±0.08
lower than 52%

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.

Structural compatibility

Expected edge per 100 rally shots from style alone: Rafael Nadal +1.79, Gael Monfils +0.33. Each player's shot mix weighted by their own skill with each shot and by how much the other gives up against it. This is why some rankings gaps don't hold in a given matchup.

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 GaelMatchupOptimal
Wide31%75%71%72.6%±2.244% ▲
Body18%64%64%65.4%±3.95% ▼
T51%69%71%64.5%±2.351%

Optimal v Gael Monfils: +0.6±0.5 per 100 first serves (faults included) over the current mix. Serving wide every time would read +5.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRafael winsv GaelMatchupOptimal
Wide54%71%71%69.3%±2.254%
Body18%67%64%68.1%±3.95% ▼
T28%75%70%72.8%±2.341% ▲

Optimal v Gael Monfils: +0.1±0.4 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.8 per 100 first serves in before the returner adjusts.

Gael Monfils serving

Deuce court

1st serveNowGael winsv RafaelMatchupOptimal
Wide40%71%66%64.6%±2.250% ▲
Body8%62%58%57.0%±4.90% ▼
T52%77%74%76.1%±2.050% ▼

Optimal v Rafael Nadal: +0.4±0.3 per 100 first serves (faults included) over the current mix. Serving T every time would read +6.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowGael winsv RafaelMatchupOptimal
Wide53%78%71%77.0%±2.067% ▲
Body5%65%57%59.7%±5.90% ▼
T41%67%66%61.0%±2.433% ▼

Optimal v Rafael Nadal: +0.7±0.3 per 100 first serves (faults included) over the current mix. Serving wide every time would read +7.5 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 GaelValue
FH through the middle46%+4.3+0.4+1.7+6.3±1.0
FH crosscourt31%+5.5+2.4+2.1+10.0±2.1
FH down the line16%+1.7−0.8+0.3+1.2±2.3
FH slice through the middle3%−4.2+0.1−0.2−4.3±1.8
FH slice crosscourt2%−4.3+7.5−0.6+2.5±2.7

Lean FH crosscourt: +3.9±1.6 per 100 returns v the current mix (5711 returns charted)

1st serve to the backhand

ReturnNowTourOwnv GaelValue
BH through the middle38%+6.4−0.2+0.6+6.8±1.0
BH crosscourt19%+8.8−1.2+0.2+7.9±2.1
BH slice through the middle17%−4.2+2.1−0.7−2.8±1.2
BH down the line15%+4.2+3.3+0.1+7.6±2.2
BH slice down the line7%−8.4+5.7−2.2−5.0±2.2
FH inside-in0%+8.0+2.3+2.1+12.4±3.3

Lean FH inside-in: +8.0±3.4 per 100 returns v the current mix (9039 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv GaelValue
FH crosscourt48%−0.2+0.7−0.9−0.5±2.5
FH through the middle33%−3.5−2.6+1.3−4.8±1.4
FH down the line17%−1.8+3.8+0.3+2.4±3.1
BH inside-out1%+0.9+0.3+1.9+3.1±3.1
FH slice through the middle1%−12.7−0.2−1.8−14.7±2.0

Lean FH down the line: +3.9±2.9 per 100 returns v the current mix (2037 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv GaelValue
BH through the middle35%−2.9+2.0−0.3−1.2±1.0
BH crosscourt28%+1.0−1.0−2.0−2.0±1.9
BH down the line17%−0.2+1.8+1.9+3.5±2.5
FH through the middle9%−2.9+1.2+1.3−0.4±1.2
FH inside-in8%+0.6+1.5−0.9+1.2±2.8

Lean BH down the line: +3.9±2.2 per 100 returns v the current mix (5854 returns charted)

Gael Monfils returning

1st serve to the forehand

ReturnNowTourOwnv RafaelValue
FH through the middle43%+4.3+1.2−0.9+4.6±1.1
FH crosscourt21%+5.5+2.8+1.7+10.0±2.0
FH slice through the middle14%−4.2+0.5±0.0−3.7±1.6
FH down the line13%+1.7+0.5+0.1+2.2±2.6
FH slice crosscourt5%−4.3+1.2+1.5−1.7±2.4

Lean FH crosscourt: +6.5±1.7 per 100 returns v the current mix (2510 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RafaelValue
BH through the middle44%+6.4+1.0+0.7+8.0±0.9
BH crosscourt30%+8.8+1.1+4.3+14.2±1.5
BH slice through the middle10%−4.2−1.7+1.9−4.0±1.5
BH down the line9%+4.2+0.2−1.0+3.4±2.7
BH slice crosscourt5%+0.5−2.0+3.6+2.2±2.4

Lean BH crosscourt: +6.8±1.2 per 100 returns v the current mix (2484 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RafaelValue
FH through the middle45%−3.5+0.6−0.4−3.3±1.7
FH crosscourt29%−0.2−2.5−0.7−3.4±2.9
FH down the line16%−1.8+2.8+0.4+1.4±3.6
FH slice through the middle7%−12.7−1.7+0.1−14.3±2.4
BH through the middle3%+0.1+1.0+0.1+1.2±1.3

Lean FH down the line: +4.7±3.3 per 100 returns v the current mix (561 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv RafaelValue
BH through the middle46%−2.9+1.1+0.1−1.7±1.0
BH crosscourt39%+1.0+0.5−0.2+1.4±1.5
BH down the line10%−0.2−1.4−1.3−3.0±3.4
FH through the middle2%−2.9−0.6−0.4−3.9±1.7
FH inside-out1%+1.0−1.5+0.4−0.1±2.7

Lean BH crosscourt: +2.1±1.1 per 100 returns v the current mix (1568 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.

Rafael Nadal

Favour

ShotEdgeOwnTheirs
BH volley to their forehand · rally+8.7±4.1+11.2−2.5
FH volley to their backhand · rally+8.4±3.8+9.1−0.7
BH volley to their forehand · serve +1+7.3±5.5+6.9+0.4
FH drop shot to their backhand · rally+6.5±4.8+7.1−0.6
FH volley to the middle · rally+6.1±5.2+8.0−1.9
BH to their forehand · return +1+5.3±2.4+3.6+1.7

Avoid

ShotEdgeOwnTheirs
BH volley to their backhand · serve +1−4.4±5.1−3.0−1.5
FH slice to their forehand · rally−4.4±3.3−4.6+0.2
BH lob to the middle · rally−3.3±2.7+0.3−3.7
BH slice to their backhand · return +1−2.4±1.5−0.9−1.5
BH slice to their backhand · return−2.2±1.7−0.6−1.6

Gael Monfils

Favour

ShotEdgeOwnTheirs
BH volley to their forehand · rally+9.3±4.3+2.2+7.1
FH volley to their backhand · rally+5.6±4.4+2.1+3.5
BH slice to their forehand · return +1+5.3±3.0+2.5+2.8
FH volley to their backhand · serve +1+4.6±4.5−1.1+5.6
BH slice to their forehand · rally+4.5±2.0+3.9+0.6
BH to their forehand · rally+3.3±1.1+2.5+0.8

Avoid

ShotEdgeOwnTheirs
FH volley to their forehand · rally−8.6±4.2−1.6−7.0
BH volley to their backhand · rally−7.0±4.3−1.8−5.2
BH slice to their backhand · rally−3.7±1.2+0.1−3.8
BH slice to their backhand · return−3.5±2.2−1.2−2.3
Smash to their forehand · rally−3.4±3.6−1.2−2.2

Against Gael Monfils-like opponents

Rafael Nadal vMatchesServe pts wonReturn pts won
All charted opponents–66.0%40.1%
Players most similar to Gael Monfils7 60.3%44.8%
Gael Monfils (charted head-to-head)4 72.6%45.7%

Similar by tactical fingerprint: Jannik Sinner, Marcos Giron, Taylor Fritz, Miomir Kecmanovic, Arthur Cazaux, Daniel Elahi Galan, Mackenzie Mcdonald, Borna Coric, Andreas Seppi, Guido Pella. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head