RallyIQ

Game plan

Thomas Fabbiano v Roman Safiullin

Every number combines what Thomas Fabbiano 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

Thomas Fabbiano wins, best of 3 69%90%: 35%–92% · best of 5: 74%
Serve points won 67.5% / 63.4% Thomas / Roman · tour 65.7%
Strengths only, no similarity priors 69%serve 67.5% / 63.4%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Thomas Fabbiano's record against Roman Safiullin'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

CareerThomasRoman
Direction choice−0.03 ±0.22
better than 47%
+0.11 ±0.07
better than 83%
Shot selection+0.13 ±0.16
better than 68%
+0.42 ±0.20
better than 88%
Execution−0.87 ±0.66
better than 29%
−0.74 ±0.73
better than 35%
Points left on the table2.35 ±0.35
lower than 78%
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.

Thomas Fabbiano serving

Deuce court

1st serveNowThomas winsv RomanMatchupOptimal
Wide34%69%73%68.5%±8.321% ▼
Body26%70%66%71.9%±10.227%
T39%82%77%83.7%±6.252% ▲

Optimal v Roman Safiullin: +0.7±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +8.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowThomas winsv RomanMatchupOptimal
Wide40%70%74%71.5%±8.053% ▲
Body18%69%64%70.1%±11.85% ▼
T42%70%75%73.2%±8.042%

Optimal v Roman Safiullin: +0.7±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.2 per 100 first serves in before the returner adjusts.

Roman Safiullin serving

Deuce court

1st serveNowRoman winsv ThomasMatchupOptimal
Wide51%70%74%71.1%±8.245% ▼
Body7%49%68%54.9%±15.40% ▼
T42%73%86%84.7%±6.055% ▲

Optimal v Thomas Fabbiano: +0.8±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +9.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRoman winsv ThomasMatchupOptimal
Wide47%75%71%73.8%±7.860% ▲
Body15%63%61%60.5%±13.92% ▼
T38%66%72%66.1%±9.338%

Optimal v Thomas Fabbiano: +1.0±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.9 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.

Thomas Fabbiano returning

1st serve to the forehand

ReturnNowTourOwnv RomanValue
FH through the middle57%+4.3−3.4+0.9+1.7±2.9
FH down the line21%+1.7+2.0+1.2+4.9±4.4
FH crosscourt18%+5.5−0.8+3.0+7.6±4.3
FH slice through the middle4%−4.2±0.0−0.5−4.7±2.0

Lean FH crosscourt: +4.5±4.0 per 100 returns v the current mix (140 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RomanValue
BH through the middle35%+6.4+1.7+0.6+8.7±2.7
BH crosscourt27%+8.8+0.3+0.2+9.2±3.6
BH slice through the middle20%−4.2+0.3−0.8−4.7±2.5
BH down the line9%+4.2−0.9±0.0+3.3±4.1
BH slice crosscourt9%+0.5+0.1±0.0+0.7±2.6

Lean BH crosscourt: +4.3±2.8 per 100 returns v the current mix (137 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RomanValue
FH through the middle55%−3.5+1.5+1.3−0.6±2.7
FH crosscourt23%−0.2+2.4+2.1+4.3±3.9
FH down the line23%−1.8−0.6+0.9−1.5±4.2

Lean FH through the middle: −0.9±1.8 per 100 returns v the current mix (44 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv RomanValue
BH through the middle47%−2.9+0.8+0.7−1.4±2.5
BH crosscourt38%+1.0−1.7−1.6−2.3±3.3
BH down the line9%−0.2−3.1−0.2−3.5±4.3
BH slice through the middle6%−11.3+0.2±0.0−11.1±1.1

Lean BH through the middle: +1.1±1.9 per 100 returns v the current mix (98 returns charted, inside the 90% margin)

Roman Safiullin returning

1st serve to the forehand

ReturnNowTourOwnv ThomasValue
FH through the middle39%+4.3+2.3+2.4+9.0±2.9
FH crosscourt17%+5.5−0.4+2.6+7.7±4.4
FH slice through the middle17%−4.2−0.7−0.1−5.0±2.2
FH down the line10%+1.7−1.2+2.8+3.3±4.5
FH slice crosscourt10%−4.3−0.3−0.8−5.4±2.4

Lean FH through the middle: +5.6±2.0 per 100 returns v the current mix (282 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ThomasValue
BH crosscourt40%+8.8−0.3+1.7+10.2±3.4
BH through the middle39%+6.4−1.6−1.1+3.8±2.7
BH down the line8%+4.2−0.8−0.9+2.6±4.4
BH slice through the middle6%−4.2−1.5+0.5−5.2±2.4
BH slice crosscourt5%+0.5−0.2+1.9+2.2±2.8

Lean BH crosscourt: +4.7±2.4 per 100 returns v the current mix (323 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ThomasValue
FH through the middle47%−3.5+1.5−1.1−3.1±2.9
FH crosscourt32%−0.2−2.4−1.4−4.1±4.1
FH down the line15%−1.8−0.8+1.1−1.5±3.8
FH slice crosscourt7%−12.5−2.2±0.0−14.7±1.3

Lean FH through the middle: +0.9±2.1 per 100 returns v the current mix (75 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv ThomasValue
BH crosscourt51%+1.0−1.7−1.4−2.1±3.2
BH through the middle38%−2.9−1.5−1.3−5.7±2.5
BH down the line10%−0.2+0.4−1.9−1.6±4.2

Lean BH down the line: +1.8±4.2 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.

Thomas Fabbiano

Favour

ShotEdgeOwnTheirs
FH to the middle · rally+7.4±3.9+4.8+2.6
BH to their backhand · rally+5.4±4.2+1.6+3.7
BH to the middle · return+4.6±3.8+0.5+4.1
FH to their forehand · rally+4.3±4.8+1.5+2.8
FH to their forehand · return +1+4.2±6.7+4.5−0.3
FH to their backhand · rally+3.6±4.8+0.5+3.1

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return +1−4.9±5.7−3.5−1.4
BH to their backhand · serve +1−2.4±5.1−3.2+0.8
BH to their backhand · return−2.2±5.4−0.9−1.3
BH to the middle · serve +1−1.4±4.0−1.5+0.1
BH to the middle · rally−0.2±3.3−0.2±0.0

Roman Safiullin

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+9.4±5.8+5.4+4.0
FH to the middle · return+7.3±4.1+5.6+1.7
FH to the middle · rally+4.5±3.7+2.9+1.6
FH to their forehand · rally+3.3±5.2+2.2+1.1
FH to their backhand · rally+2.2±5.1+4.4−2.2
FH to their backhand · return+1.8±6.3−4.2+6.0

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return +1−7.1±6.5+0.8−7.9
BH to their backhand · return +1−5.2±4.6−3.8−1.4
BH to their backhand · rally−4.5±4.1−2.1−2.4
BH to the middle · return−4.2±3.7−1.1−3.1
BH to the middle · rally−3.2±2.7−3.1−0.1

Against Roman Safiullin-like opponents

Thomas Fabbiano vMatchesServe pts wonReturn pts won
All charted opponents–68.2%36.0%

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.