RallyIQ

Game plan

Mark Philippoussis v Roberto Bautista Agut

Every number combines what Mark Philippoussis does well with what Roberto Bautista Agut allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Mark Philippoussis wins, best of 3 49%90%: 27%–72% · best of 5: 49%
Serve points won 70.4% / 70.6% Mark / Roberto · tour 65.7%
Strengths only, no similarity priors 49%serve 70.4% / 70.6%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Mark Philippoussis's record against Roberto Bautista Agut'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

CareerMarkRoberto
Direction choice+0.07 ±0.14
better than 74%
+0.03 ±0.06
better than 65%
Shot selection+0.32 ±0.21
better than 82%
+0.08 ±0.08
better than 62%
Execution−1.40 ±0.61
better than 12%
+1.23 ±0.28
better than 98%
Points left on the table3.53 ±0.34
lower than 8%
2.30 ±0.09
lower than 85%

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.

Mark Philippoussis serving

Deuce court

1st serveNowMark winsv RobertoMatchupOptimal
Wide46%81%74%81.8%±3.759% ▲
Body7%66%60%62.6%±9.90% ▼
T47%80%76%80.4%±4.141% ▼

Optimal v Roberto Bautista Agut: +0.9±0.6 per 100 first serves (faults included) over the current mix. Serving wide every time would read +2.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMark winsv RobertoMatchupOptimal
Wide50%79%77%82.1%±3.763% ▲
Body4%63%53%53.3%±12.30% ▼
T46%79%72%79.5%±4.337% ▼

Optimal v Roberto Bautista Agut: +0.5±0.6 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.4 per 100 first serves in before the returner adjusts.

Roberto Bautista Agut serving

Deuce court

1st serveNowRoberto winsv MarkMatchupOptimal
Wide45%70%79%76.4%±4.640% ▼
Body9%64%65%65.6%±9.00% ▼
T47%72%83%80.9%±4.060% ▲

Optimal v Mark Philippoussis: +0.7±0.6 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRoberto winsv MarkMatchupOptimal
Wide56%70%78%74.9%±4.551% ▼
Body9%61%64%61.0%±10.80% ▼
T36%72%77%77.1%±4.749% ▲

Optimal v Mark Philippoussis: +0.9±0.7 per 100 first serves (faults included) over the current mix. Serving T every time would read +2.6 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.

Mark Philippoussis returning

1st serve to the forehand

ReturnNowTourOwnv RobertoValue
FH through the middle51%+4.3−2.7+2.6+4.1±2.1
FH down the line30%+1.7−4.1+4.3+2.0±3.8
FH crosscourt17%+5.5−5.3−1.2−1.0±3.8
FH slice through the middle3%−4.2+0.8+2.1−1.4±1.9

Lean FH through the middle: +1.6±1.6 per 100 returns v the current mix (386 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RobertoValue
BH slice through the middle32%−4.2±0.0+3.1−1.1±2.0
BH through the middle21%+6.4−3.4+1.2+4.3±2.1
BH slice crosscourt21%+0.5+1.5+1.1+3.1±2.8
BH crosscourt10%+8.8−3.2+2.2+7.8±3.0
BH down the line9%+4.2−4.8+1.3+0.7±4.3

Lean BH crosscourt: +6.2±2.9 per 100 returns v the current mix (480 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RobertoValue
FH through the middle39%−3.5−1.3−0.4−5.1±2.6
FH down the line30%−1.8−2.1+1.5−2.3±4.4
FH crosscourt25%−0.2±0.0−1.4−1.6±4.2
BH through the middle6%+0.1−0.9+2.3+1.5±1.3

Lean FH crosscourt: +1.4±3.6 per 100 returns v the current mix (129 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv RobertoValue
BH slice crosscourt28%−4.0+3.0−2.1−3.1±2.4
BH through the middle22%−2.9+0.6+2.3±0.0±2.0
BH crosscourt17%+1.0+0.2+0.2+1.4±2.7
BH slice through the middle15%−11.3+0.7−1.9−12.5±2.3
BH slice down the line7%−9.3+0.9±0.0−8.4±3.0

Lean BH crosscourt: +4.5±2.4 per 100 returns v the current mix (405 returns charted)

Roberto Bautista Agut returning

1st serve to the forehand

ReturnNowTourOwnv MarkValue
FH through the middle47%+4.3+2.4−0.8+5.9±2.1
FH down the line19%+1.7+2.4−2.0+2.1±3.9
FH crosscourt15%+5.5+1.8−1.9+5.4±4.0
FH slice through the middle13%−4.2+0.4+0.1−3.7±1.9
FH slice crosscourt3%−4.3+0.3±0.0−4.1±2.0

Lean FH through the middle: +2.6±1.5 per 100 returns v the current mix (1224 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MarkValue
BH through the middle42%+6.4+2.7−3.7+5.4±2.1
BH crosscourt20%+8.8+2.4−1.7+9.4±3.1
BH slice through the middle17%−4.2−0.1−0.5−4.9±2.2
BH down the line11%+4.2+4.9−3.2+6.0±4.4
BH slice crosscourt6%+0.5−1.2−1.0−1.7±3.0

Lean BH crosscourt: +6.0±2.7 per 100 returns v the current mix (1218 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MarkValue
FH through the middle48%−3.5+0.4−1.4−4.5±2.7
FH crosscourt24%−0.2+0.7+1.0+1.5±4.4
FH down the line24%−1.8+0.9−4.1−5.0±4.7
FH slice through the middle4%−12.7±0.0+0.6−12.1±1.6

Lean FH crosscourt: +5.0±3.7 per 100 returns v the current mix (289 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MarkValue
BH through the middle48%−2.9+0.6−1.5−3.8±1.9
BH crosscourt33%+1.0+1.7−0.8+1.8±2.6
BH down the line12%−0.2+0.8+0.5+1.1±4.8
FH through the middle3%−2.9−0.4−1.4−4.7±2.3
FH inside-out2%+1.0±0.0−4.1−3.2±3.5

Lean BH crosscourt: +3.2±2.1 per 100 returns v the current mix (961 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 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.

Mark Philippoussis

Favour

ShotEdgeOwnTheirs
BH to their backhand · serve +1+6.0±3.7+2.4+3.6
FH volley to their forehand · serve +1+5.8±7.9+4.9+0.9
FH to their backhand · serve +1+5.4±3.8+1.0+4.4
BH slice to the middle · return+5.4±3.1+0.5+4.9
FH to the middle · return+3.7±3.2−1.1+4.8
FH to their forehand · rally+2.1±4.4−0.3+2.4

Avoid

ShotEdgeOwnTheirs
BH to the middle · rally−5.3±2.9−4.9−0.4
FH to their forehand · return−4.7±6.3−2.0−2.7
BH to their forehand · return +1−4.2±7.1−7.1+2.9
FH to their backhand · return−3.3±5.5−8.8+5.5
BH to their backhand · return−3.1±4.7−4.3+1.2

Roberto Bautista Agut

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+7.3±4.2+3.3+3.9
FH to their forehand · return +1+4.6±5.9+1.3+3.3
FH to their backhand · return +1+4.5±5.8−0.1+4.6
FH to their backhand · rally+3.6±4.2+2.6+0.9
BH to their forehand · serve +1+3.3±6.8−1.9+5.2
BH to their forehand · return+3.2±6.5+2.1+1.0

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−2.6±5.6+1.0−3.6
BH to their backhand · rally−2.4±3.2+0.2−2.5
FH to the middle · serve +1−1.7±3.8+2.1−3.8
BH to the middle · return−1.5±3.1+2.7−4.2
FH to the middle · rally−1.4±3.4+2.6−4.0

Against Roberto Bautista Agut-like opponents

Mark Philippoussis vMatchesServe pts wonReturn pts won
All charted opponents–68.7%30.3%

Similar by tactical fingerprint: Casper Ruud, Brandon Nakashima, Gael Monfils, Mariano Navone, Novak Djokovic, Karen Khachanov, Pablo Carreno Busta, Francisco Cerundolo, Roberto Carballes Baena, Bernabe Zapata Miralles. When two players have rarely met, their records against these lookalikes fill the gap.