RallyIQ

Game plan

Sam Querrey v Roberto Bautista Agut

Every number combines what Sam Querrey 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

Sam Querrey wins, best of 3 57%90%: 35%–77% · best of 5: 59%
Serve points won 69.0% / 67.5% Sam / Roberto · tour 65.7%
Strengths only, no similarity priors 54%serve 68.3% / 67.5%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Sam Querrey's record against Roberto Bautista Agut's tactical lookalikes and in their charted head-to-heads (lookalikes: +8.1 on serve, +0.7 on return vs expectation (262 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

CareerSamRoberto
Direction choice+0.16 ±0.10
better than 89%
+0.03 ±0.06
better than 65%
Shot selection+0.50 ±0.22
better than 93%
+0.08 ±0.08
better than 62%
Execution−0.88 ±0.95
better than 28%
+1.23 ±0.28
better than 98%
Points left on the table2.35 ±0.18
lower than 79%
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.

Sam Querrey serving

Deuce court

1st serveNowSam winsv RobertoMatchupOptimal
Wide46%76%74%77.0%±4.438% ▼
Body5%67%60%64.3%±12.10% ▼
T49%82%76%82.8%±3.962% ▲

Optimal v Roberto Bautista Agut: +0.6±0.6 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowSam winsv RobertoMatchupOptimal
Wide51%81%77%84.2%±3.964% ▲
Body6%62%53%51.8%±12.70% ▼
T44%74%72%73.9%±5.236% ▼

Optimal v Roberto Bautista Agut: +1.0±0.6 per 100 first serves (faults included) over the current mix. Serving wide every time would read +6.3 per 100 first serves in before the returner adjusts.

Roberto Bautista Agut serving

Deuce court

1st serveNowRoberto winsv SamMatchupOptimal
Wide45%70%74%71.3%±5.040% ▼
Body9%64%62%62.2%±9.80% ▼
T47%72%79%77.1%±4.960% ▲

Optimal v Sam Querrey: +0.9±0.7 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRoberto winsv SamMatchupOptimal
Wide56%70%77%74.3%±5.351% ▼
Body9%61%70%67.6%±9.30% ▼
T36%72%74%73.8%±5.449% ▲

Optimal v Sam Querrey: +0.4±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +0.8 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.

Sam Querrey returning

1st serve to the forehand

ReturnNowTourOwnv RobertoValue
FH through the middle45%+4.3−0.5+2.6+6.4±2.1
FH crosscourt25%+5.5−0.7−1.2+3.6±3.7
FH down the line15%+1.7+0.8+4.3+6.8±4.0
FH slice through the middle9%−4.2±0.0+2.1−2.1±2.2
FH slice down the line4%−4.3+1.8−0.1−2.6±2.9

Lean FH down the line: +2.3±3.6 per 100 returns v the current mix (365 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv RobertoValue
BH through the middle40%+6.4−1.0+1.2+6.7±2.1
BH crosscourt33%+8.8+0.9+2.2+11.9±2.9
BH slice through the middle10%−4.2+0.8+3.1−0.3±2.2
BH down the line9%+4.2+1.2+1.3+6.8±4.2
BH slice crosscourt5%+0.5−1.8+1.1−0.2±2.6

Lean BH crosscourt: +5.0±2.1 per 100 returns v the current mix (297 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RobertoValue
FH through the middle49%−3.5−1.1−0.4−4.9±2.6
FH crosscourt34%−0.2+0.8−1.4−0.9±4.1
FH down the line18%−1.8+0.1+1.5−0.2±4.0

Lean FH crosscourt: +1.9±3.1 per 100 returns v the current mix (80 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv RobertoValue
BH crosscourt40%+1.0+2.0+0.2+3.2±2.7
BH through the middle37%−2.9−0.2+2.3−0.8±2.1
BH down the line19%−0.2−0.8+2.5+1.6±4.6
FH through the middle3%−2.9+0.7−0.4−2.6±1.7

Lean BH crosscourt: +2.0±2.0 per 100 returns v the current mix (179 returns charted)

Roberto Bautista Agut returning

1st serve to the forehand

ReturnNowTourOwnv SamValue
FH through the middle47%+4.3+2.4−2.7+4.0±2.3
FH down the line19%+1.7+2.4−2.8+1.3±4.0
FH crosscourt15%+5.5+1.8+0.3+7.6±4.1
FH slice through the middle13%−4.2+0.4+2.9−0.9±2.2
FH slice crosscourt3%−4.3+0.3+1.3−2.7±2.7

Lean FH crosscourt: +4.5±3.7 per 100 returns v the current mix (1224 returns charted)

1st serve to the backhand

ReturnNowTourOwnv SamValue
BH through the middle42%+6.4+2.7−1.0+8.2±2.3
BH crosscourt20%+8.8+2.4−0.5+10.6±3.2
BH slice through the middle17%−4.2−0.1+0.8−3.6±2.2
BH down the line11%+4.2+4.9+2.4+11.5±4.2
BH slice crosscourt6%+0.5−1.2+1.0+0.3±3.0

Lean BH down the line: +5.7±3.9 per 100 returns v the current mix (1218 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv SamValue
FH through the middle48%−3.5+0.4+0.5−2.6±2.7
FH crosscourt24%−0.2+0.7+2.9+3.4±4.4
FH down the line24%−1.8+0.9−0.6−1.5±4.7
FH slice through the middle4%−12.7±0.0+0.5−12.1±1.8

Lean FH crosscourt: +4.6±3.7 per 100 returns v the current mix (289 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv SamValue
BH through the middle48%−2.9+0.6−1.3−3.6±1.9
BH crosscourt33%+1.0+1.7±0.0+2.7±2.7
BH down the line12%−0.2+0.8+0.4+1.0±4.7
FH through the middle3%−2.9−0.4+0.5−2.7±2.3
FH inside-out2%+1.0±0.0−0.6+0.3±3.5

Lean BH crosscourt: +3.5±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.

Sam Querrey

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+5.8±4.4+1.4+4.4
BH to the middle · serve +1+3.8±3.8+1.5+2.3
BH to their forehand · return +1+3.7±7.3+0.8+2.9
BH to their backhand · return+3.7±4.2+2.5+1.2
FH to their backhand · return+3.5±5.8−1.9+5.5
FH to the middle · return+3.0±3.0−1.8+4.8

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−3.0±4.5−3.1+0.1
FH to their forehand · return +1−2.7±5.9−5.1+2.4
FH to their backhand · return +1−2.7±6.2−3.3+0.6
BH to their forehand · rally−1.9±5.4−3.6+1.7
FH to the middle · serve +1−1.8±4.0−4.1+2.3

Roberto Bautista Agut

Favour

ShotEdgeOwnTheirs
FH to their forehand · return +1+8.0±6.0+1.3+6.8
FH to their forehand · serve +1+6.1±4.8+2.2+3.9
FH to the middle · rally+5.6±3.3+2.6+3.0
FH to their forehand · return+4.8±6.5+3.2+1.6
FH to their forehand · rally+4.7±3.7+3.3+1.4
BH to the middle · return +1+4.5±3.8+3.0+1.5

Avoid

ShotEdgeOwnTheirs
BH to the middle · serve +1−3.3±3.7+0.6−3.8
BH slice to the middle · rally−2.5±3.3+0.4−2.9
FH to the middle · return−1.1±3.2+1.5−2.5
FH to their backhand · serve +1−0.7±4.1−0.2−0.5
BH to their backhand · return +1−0.5±5.3+0.8−1.3

Against Roberto Bautista Agut-like opponents

Sam Querrey vMatchesServe pts wonReturn pts won
All charted opponents–67.1%31.9%
Players most similar to Roberto Bautista Agut1 68.4%31.8%

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.