RallyIQ

Game plan

Sam Querrey v Roman Safiullin

Every number combines what Sam Querrey does well with what Roman Safiullin 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 65%90%: 36%–86% · best of 5: 68%
Serve points won 68.9% / 65.8% Sam / Roman · tour 65.7%
Strengths only, no similarity priors 69%serve 68.9% / 64.7%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Sam Querrey's record against Roman Safiullin's tactical lookalikes and in their charted head-to-heads (lookalikes: −0.7 on serve, −14.1 on return vs expectation (270 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

CareerSamRoman
Direction choice+0.16 ±0.10
better than 89%
+0.11 ±0.07
better than 83%
Shot selection+0.50 ±0.22
better than 93%
+0.42 ±0.20
better than 88%
Execution−0.88 ±0.95
better than 28%
−0.74 ±0.73
better than 35%
Points left on the table2.35 ±0.18
lower than 79%
2.11 ±0.16
lower than 98%

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 RomanMatchupOptimal
Wide46%76%73%76.0%±5.938% ▼
Body5%67%66%69.6%±13.00% ▼
T49%82%77%83.8%±4.762% ▲

Optimal v Roman Safiullin: +0.7±0.7 per 100 first serves (faults included) over the current mix. Serving T every time would read +4.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowSam winsv RomanMatchupOptimal
Wide51%81%74%82.2%±5.364% ▲
Body6%62%64%62.3%±14.00% ▼
T44%74%75%76.6%±6.636% ▼

Optimal v Roman Safiullin: +0.7±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.5 per 100 first serves in before the returner adjusts.

Roman Safiullin serving

Deuce court

1st serveNowRoman winsv SamMatchupOptimal
Wide51%70%74%71.4%±6.445% ▼
Body7%49%62%47.5%±13.40% ▼
T42%73%79%77.5%±6.455% ▲

Optimal v Sam Querrey: +1.0±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +5.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRoman winsv SamMatchupOptimal
Wide47%75%77%79.4%±6.060% ▲
Body15%63%70%69.9%±10.92% ▼
T38%66%74%67.7%±7.738%

Optimal v Sam Querrey: +1.1±0.9 per 100 first serves (faults included) over the current mix. Serving wide every time would read +5.9 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 RomanValue
FH through the middle45%+4.3−0.5+0.9+4.7±2.7
FH crosscourt25%+5.5−0.7+3.0+7.7±4.4
FH down the line15%+1.7+0.8+1.2+3.7±4.5
FH slice through the middle9%−4.2±0.0−0.5−4.7±2.3
FH slice down the line4%−4.3+1.8+1.9−0.6±2.6

Lean FH crosscourt: +3.7±3.6 per 100 returns v the current mix (365 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RomanValue
BH through the middle40%+6.4−1.0+0.6+6.0±2.6
BH crosscourt33%+8.8+0.9+0.2+9.8±3.5
BH slice through the middle10%−4.2+0.8−0.8−4.2±2.5
BH down the line9%+4.2+1.2±0.0+5.4±4.5
BH slice crosscourt5%+0.5−1.8±0.0−1.2±2.6

Lean BH crosscourt: +4.4±2.6 per 100 returns v the current mix (297 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RomanValue
FH through the middle49%−3.5−1.1+1.3−3.3±2.8
FH crosscourt34%−0.2+0.8+2.1+2.7±4.3
FH down the line18%−1.8+0.1+0.9−0.8±4.3

Lean FH crosscourt: +3.5±3.3 per 100 returns v the current mix (80 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv RomanValue
BH crosscourt40%+1.0+2.0−1.6+1.4±3.3
BH through the middle37%−2.9−0.2+0.7−2.4±2.5
BH down the line19%−0.2−0.8−0.2−1.2±4.9
FH through the middle3%−2.9+0.7+1.3−0.9±1.9

Lean BH crosscourt: +2.0±2.3 per 100 returns v the current mix (179 returns charted, inside the 90% margin)

Roman Safiullin returning

1st serve to the forehand

ReturnNowTourOwnv SamValue
FH through the middle39%+4.3+2.3−2.7+3.9±2.8
FH crosscourt17%+5.5−0.4+0.3+5.4±4.4
FH slice through the middle17%−4.2−0.7+2.9−2.0±2.3
FH down the line10%+1.7−1.2−2.8−2.3±4.5
FH slice crosscourt10%−4.3−0.3+1.3−3.3±2.7

Lean FH crosscourt: +4.0±3.9 per 100 returns v the current mix (282 returns charted)

1st serve to the backhand

ReturnNowTourOwnv SamValue
BH crosscourt40%+8.8−0.3−0.5+8.0±3.4
BH through the middle39%+6.4−1.6−1.0+3.9±2.7
BH down the line8%+4.2−0.8+2.4+5.8±4.3
BH slice through the middle6%−4.2−1.5+0.8−5.0±2.4
BH slice crosscourt5%+0.5−0.2+1.0+1.3±2.9

Lean BH crosscourt: +3.1±2.4 per 100 returns v the current mix (323 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv SamValue
FH through the middle47%−3.5+1.5+0.5−1.4±2.8
FH crosscourt32%−0.2−2.4+2.9+0.2±4.3
FH down the line15%−1.8−0.8−0.6−3.2±4.2
FH slice crosscourt7%−12.5−2.2±0.0−14.7±1.3

Lean FH crosscourt: +2.2±3.3 per 100 returns v the current mix (75 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv SamValue
BH crosscourt51%+1.0−1.7±0.0−0.7±3.1
BH through the middle38%−2.9−1.5−1.3−5.7±2.4
BH down the line10%−0.2+0.4+0.4+0.6±4.6

Lean BH down the line: +3.1±4.6 per 100 returns v the current mix (175 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.

Sam Querrey

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+6.2±6.3+2.1+4.1
BH to the middle · return+4.8±3.3+0.7+4.1
FH to their backhand · serve +1+3.3±5.1+1.4+1.8
BH to their backhand · rally+2.6±3.8−1.2+3.7
FH to their backhand · rally+1.6±4.6−1.5+3.1
BH to the middle · serve +1+1.6±4.0+1.5+0.1

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return +1−5.4±6.4−5.1−0.3
BH to their forehand · rally−4.8±6.1−3.6−1.2
BH to their backhand · serve +1−4.3±4.8−5.1+0.8
FH to the middle · serve +1−3.8±4.2−4.1+0.4
FH to their backhand · return +1−2.8±6.5−3.3+0.4

Roman Safiullin

Favour

ShotEdgeOwnTheirs
FH to their forehand · return +1+10.2±6.6+3.4+6.8
BH to their backhand · serve +1+8.0±4.8+5.9+2.0
FH to the middle · rally+5.9±3.7+2.9+3.0
FH to their backhand · serve +1+4.9±5.0+5.4−0.5
FH to their backhand · rally+4.6±4.7+4.4+0.2
BH to their forehand · rally+4.0±6.3+3.3+0.7

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−6.4±6.1−4.2−2.2
BH to their backhand · return +1−5.0±5.7−3.8−1.3
BH to the middle · return−3.8±3.4−1.1−2.7
BH to the middle · rally−3.5±3.3−3.1−0.4
BH to their backhand · return−3.2±5.0−1.0−2.1

Against Roman Safiullin-like opponents

Sam Querrey vMatchesServe pts wonReturn pts won
All charted opponents–67.1%31.9%
Players most similar to Roman Safiullin1 64.9%19.2%

Similar by tactical fingerprint: Arthur Fils, Tommy Paul, Alexander Shevchenko, Zizou Bergs, Laslo Djere, Marin Cilic, Fabio Fognini, Otto Virtanen, Lloyd Harris, Gregoire Barrere. When two players have rarely met, their records against these lookalikes fill the gap.