RallyIQ

Game plan

Marcel Granollers v Frances Tiafoe

Every number combines what Marcel Granollers does well with what Frances Tiafoe allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Marcel Granollers wins, best of 3 22%90%: 8%–44% · best of 5: 16%
Serve points won 59.5% / 65.7% Marcel / Frances · tour 63.8%
Strengths only, no similarity priors 22%serve 59.5% / 65.7%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerMarcelFrances
Direction choice−0.15 ±0.22
better than 20%
+0.06 ±0.06
better than 72%
Shot selection−0.52 ±0.36
better than 11%
+0.14 ±0.09
better than 69%
Execution−0.26 ±0.54
better than 55%
−0.26 ±0.34
better than 54%
Points left on the table2.75 ±0.26
lower than 35%
2.38 ±0.11
lower than 75%

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.

Marcel Granollers serving

Deuce court

1st serveNowMarcel winsv FrancesMatchupOptimal
Wide49%69%75%70.4%±7.055% ▲
Body16%66%65%67.3%±11.33% ▼
T34%74%76%75.2%±7.842% ▲

Optimal v Frances Tiafoe: +0.8±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMarcel winsv FrancesMatchupOptimal
Wide30%77%78%81.2%±7.629%
Body18%56%67%60.4%±11.95% ▼
T53%72%76%75.8%±7.066% ▲

Optimal v Frances Tiafoe: +0.7±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +6.5 per 100 first serves in before the returner adjusts.

Frances Tiafoe serving

Deuce court

1st serveNowFrances winsv MarcelMatchupOptimal
Wide50%72%73%71.7%±7.345% ▼
Body8%63%67%66.8%±12.10% ▼
T42%79%76%80.4%±6.255% ▲

Optimal v Marcel Granollers: +0.4±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowFrances winsv MarcelMatchupOptimal
Wide40%76%66%69.4%±8.252% ▲
Body10%60%63%60.2%±12.40% ▼
T51%70%70%67.9%±8.248% ▼

Optimal v Marcel Granollers: +0.6±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.7 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.

Marcel Granollers returning

1st serve to the forehand

ReturnNowTourOwnv FrancesValue
FH through the middle45%+4.3+1.6+2.3+8.2±2.5
FH slice through the middle23%−4.2+3.9−0.2−0.5±2.2
FH crosscourt13%+5.5−3.4−0.9+1.2±3.7
FH down the line13%+1.7+0.4−1.7+0.4±3.9
FH slice down the line7%−4.3+3.6−1.8−2.4±2.8

Lean FH through the middle: +4.6±1.6 per 100 returns v the current mix (128 returns charted)

1st serve to the backhand

ReturnNowTourOwnv FrancesValue
BH through the middle45%+6.4+0.2−0.3+6.3±2.5
BH crosscourt20%+8.8+0.7−3.0+6.5±3.4
BH slice through the middle14%−4.2+0.6−2.1−5.7±2.3
BH down the line10%+4.2+0.8−4.2+0.8±4.2
BH slice crosscourt5%+0.5−1.0−0.2−0.6±2.6

Lean BH crosscourt: +3.8±3.0 per 100 returns v the current mix (134 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv FrancesValue
BH through the middle61%−2.9−0.9+1.9−1.8±2.1
BH crosscourt32%+1.0+1.9+0.8+3.8±2.6
BH down the line8%−0.2+0.4−1.3−1.2±3.6

Lean BH crosscourt: +3.8±2.2 per 100 returns v the current mix (66 returns charted)

Frances Tiafoe returning

1st serve to the forehand

ReturnNowTourOwnv MarcelValue
FH through the middle43%+4.3−0.1+1.8+5.9±2.6
FH crosscourt21%+5.5−1.6+0.5+4.4±4.0
FH down the line19%+1.7−1.6+0.7+0.8±4.2
FH slice through the middle12%−4.2−0.1−0.4−4.7±2.1
FH slice down the line3%−4.3+0.7−2.6−6.1±2.7

Lean FH through the middle: +3.1±1.9 per 100 returns v the current mix (816 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MarcelValue
BH through the middle44%+6.4−0.1−1.3+5.0±2.5
BH crosscourt27%+8.8+1.2−0.1+9.8±3.0
BH down the line10%+4.2−1.0−0.7+2.4±4.2
BH slice through the middle9%−4.2−0.9+0.3−4.8±2.3
BH slice crosscourt7%+0.5−2.9−0.6−2.9±2.5

Lean BH crosscourt: +5.9±2.5 per 100 returns v the current mix (714 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MarcelValue
FH through the middle50%−3.5−1.6−0.6−5.6±2.8
FH crosscourt25%−0.2−1.3+0.3−1.2±4.3
FH down the line23%−1.8−1.4−0.5−3.7±4.6
FH slice through the middle3%−12.7+0.3±0.0−12.4±1.1

Lean FH crosscourt: +3.0±3.7 per 100 returns v the current mix (225 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv MarcelValue
BH crosscourt49%+1.0+1.6+1.3+4.0±2.9
BH through the middle38%−2.9−1.2+0.7−3.3±2.4
BH down the line12%−0.2+1.6+0.5+1.9±4.8
BH slice through the middle1%−11.3−0.2±0.0−11.5±1.0

Lean BH crosscourt: +3.2±1.8 per 100 returns v the current mix (471 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 hard. Each player's hard record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Marcel Granollers

Favour

ShotEdgeOwnTheirs
FH to the middle · return+5.7±3.1+3.1+2.6
BH to the middle · serve +1+4.3±3.3+3.2+1.0
FH to their forehand · serve +1+4.1±5.0+1.4+2.8
FH to the middle · rally+1.7±2.7+1.6+0.1
FH to their forehand · rally+0.8±3.2−0.1+1.0
BH to their backhand · rally+0.7±2.5−0.5+1.1

Avoid

ShotEdgeOwnTheirs
BH slice to the middle · rally−1.9±2.9+0.7−2.7
BH to their backhand · serve +1−1.3±4.2−0.4−0.9
FH to their backhand · rally−1.2±3.9−2.0+0.8
BH to the middle · return−0.8±2.4−1.0+0.2
BH to their backhand · return−0.3±4.0+1.8−2.1

Frances Tiafoe

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+2.4±4.6+0.9+1.5
BH to their backhand · rally+1.5±2.8+1.1+0.4
FH to the middle · return+1.0±2.8−0.2+1.2
BH slice to their backhand · rally+0.9±2.8−0.3+1.2
FH to their backhand · rally−0.2±3.0−0.7+0.5
BH to the middle · return−0.3±2.7−0.1−0.2

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−3.4±5.0−3.8+0.5
FH to their backhand · serve +1−3.2±4.2−0.7−2.5
FH to the middle · rally−1.5±2.8−1.5±0.0
FH to their forehand · rally−0.7±3.2−2.0+1.3
BH to the middle · rally−0.7±2.5+0.3−1.0

Against Frances Tiafoe-like opponents

Marcel Granollers vMatchesServe pts wonReturn pts won
All charted opponents–58.8%36.1%

Similar by tactical fingerprint: Alexander Shevchenko, Alexandre Muller, Roman Safiullin, Fabio Fognini, Matteo Arnaldi, Otto Virtanen, Lucas Pouille, Gregoire Barrere, Marcos Baghdatis, Tomas Berdych. When two players have rarely met, their records against these lookalikes fill the gap.