RallyIQ

Game plan

Andreas Seppi v Andrei Pavel

Every number combines what Andreas Seppi does well with what Andrei Pavel allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Andreas Seppi wins, best of 3 38%90%: 9%–76% · best of 5: 35%
Serve points won 63.9% / 66.5% Andreas / Andrei · tour 65.7%
Strengths only, no similarity priors 37%serve 63.7% / 66.3%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Andreas Seppi's record against Andrei Pavel's tactical lookalikes and in their charted head-to-heads (lookalikes: +1.2 on serve, −0.8 on return vs expectation (770 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

CareerAndreasAndrei
Direction choice−0.08 ±0.05
better than 36%
−0.18 ±0.09
better than 16%
Shot selection−0.27 ±0.12
better than 26%
+0.06 ±0.31
better than 60%
Execution−0.27 ±0.42
better than 54%
+0.16 ±0.60
better than 75%
Points left on the table2.46 ±0.08
lower than 67%
3.10 ±0.37
lower than 15%

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.

Andreas Seppi serving

Deuce court

1st serveNowAndreas winsv AndreiMatchupOptimal
Wide48%68%79%75.2%±7.461% ▲
Body4%62%68%67.3%±15.50% ▼
T49%72%78%75.8%±7.639% ▼

Optimal v Andrei Pavel: +0.1±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +0.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAndreas winsv AndreiMatchupOptimal
Wide49%72%75%74.3%±7.742% ▼
Body6%55%64%55.7%±16.10% ▼
T45%67%73%67.4%±8.558% ▲

Optimal v Andrei Pavel: +0.5±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.2 per 100 first serves in before the returner adjusts.

Andrei Pavel serving

Deuce court

1st serveNowAndrei winsv AndreasMatchupOptimal
Wide43%71%72%70.0%±7.837% ▼
Body8%67%64%67.9%±13.10% ▼
T49%79%78%81.6%±5.963% ▲

Optimal v Andreas Seppi: +0.6±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAndrei winsv AndreasMatchupOptimal
Wide53%65%79%71.9%±7.266% ▲
Body4%62%65%64.2%±14.60% ▼
T42%60%75%64.3%±8.634% ▼

Optimal v Andreas Seppi: +0.4±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.

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.

Andreas Seppi returning

1st serve to the forehand

ReturnNowTourOwnv AndreiValue
FH through the middle50%+4.3+0.8+0.1+5.2±2.7
FH down the line21%+1.7−0.7−0.7+0.3±4.4
FH crosscourt19%+5.5−0.1+2.6+8.0±4.3
FH slice through the middle5%−4.2−0.8±0.0−5.0±1.6
FH slice down the line2%−4.3−3.1±0.0−7.3±1.7

Lean FH crosscourt: +4.3±3.9 per 100 returns v the current mix (470 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AndreiValue
BH through the middle34%+6.4±0.0+1.2+7.6±2.7
BH slice through the middle25%−4.2−2.3+0.6−5.9±2.4
BH crosscourt18%+8.8+1.4−0.7+9.4±3.5
BH slice crosscourt8%+0.5−1.5−0.3−1.3±3.0
BH slice down the line8%−8.4−1.8+1.8−8.4±3.3

Lean BH crosscourt: +7.3±3.1 per 100 returns v the current mix (479 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AndreiValue
FH through the middle50%−3.5+1.4+0.1−1.9±2.9
FH down the line28%−1.8−0.1+0.2−1.7±4.5
FH crosscourt22%−0.2−1.0−0.4−1.7±4.3

Lean FH crosscourt: +0.1±3.9 per 100 returns v the current mix (127 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AndreiValue
BH through the middle43%−2.9−0.3+0.9−2.3±2.4
BH crosscourt37%+1.0+2.2−0.4+2.8±3.2
BH down the line13%−0.2+2.4+2.2+4.5±4.5
BH slice through the middle2%−11.3−2.1+0.8−12.5±2.0
FH inside-in2%+0.6−0.5−0.4−0.4±3.7

Lean BH down the line: +4.2±4.2 per 100 returns v the current mix (338 returns charted, inside the 90% margin)

Andrei Pavel returning

1st serve to the forehand

ReturnNowTourOwnv AndreasValue
FH through the middle56%+4.3−2.0+1.9+4.1±2.6
FH down the line24%+1.7−1.5−1.5−1.2±4.3
FH crosscourt20%+5.5+1.0+0.8+7.4±4.2

Lean FH crosscourt: +3.9±3.8 per 100 returns v the current mix (144 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AndreasValue
BH slice through the middle40%−4.2+1.1+0.2−2.9±2.4
BH through the middle22%+6.4−1.2−1.2+4.0±2.6
BH crosscourt13%+8.8−0.1+6.1+14.8±3.3
BH slice crosscourt11%+0.5+1.1+1.3+2.9±2.8
BH slice down the line9%−8.4−0.3+0.3−8.4±2.9

Lean BH crosscourt: +13.3±3.1 per 100 returns v the current mix (141 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AndreasValue
FH through the middle50%−3.5+1.3−1.0−3.1±2.7
FH crosscourt33%−0.2+1.1+1.3+2.2±4.0
FH down the line17%−1.8−0.3+3.1+1.0±4.0

Lean FH crosscourt: +2.9±3.1 per 100 returns v the current mix (46 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AndreasValue
BH crosscourt45%+1.0+1.7+1.4+4.1±3.0
BH through the middle31%−2.9−0.3+1.2−2.0±2.3
BH down the line13%−0.2−1.2+2.9+1.5±4.6
BH slice crosscourt11%−4.0+0.2+1.1−2.7±2.4

Lean BH crosscourt: +3.0±1.9 per 100 returns v the current mix (116 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.

Andreas Seppi

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+3.7±4.5+0.5+3.2
FH to their forehand · return+3.2±6.3±0.0+3.2
BH to the middle · return+2.9±3.1+0.4+2.5
FH to the middle · return+1.7±3.1+1.4+0.3
FH to their forehand · return +1+1.4±5.1+3.3−1.8
BH to the middle · rally+0.9±2.7+0.8+0.1

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−3.6±4.0−1.7−1.9
BH to their forehand · rally−3.4±5.1−0.1−3.3
BH slice to the middle · return−2.3±3.4−2.3+0.1
FH to their forehand · serve +1−2.0±4.8−3.4+1.4
FH to the middle · rally−1.1±3.0−0.1−1.0

Andrei Pavel

Favour

ShotEdgeOwnTheirs
BH to their backhand · serve +1+6.7±3.8+2.8+4.0
BH to their backhand · return+5.1±4.9−0.3+5.4
BH slice to the middle · return+4.4±3.0+2.1+2.3
BH to their backhand · rally+1.9±3.3+0.4+1.5
FH to the middle · rally−0.1±2.9−0.2+0.1
FH to their forehand · serve +1−0.4±4.8−1.9+1.6

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−2.7±4.0−1.5−1.2
BH to the middle · return−1.9±3.6−1.5−0.4
FH to their backhand · rally−1.0±4.0+0.7−1.7
FH to their backhand · serve +1−0.6±4.6−2.7+2.0
FH to the middle · return−0.5±3.8−3.1+2.5

Against Andrei Pavel-like opponents

Andreas Seppi vMatchesServe pts wonReturn pts won
All charted opponents–61.2%34.1%
Players most similar to Andrei Pavel5 59.1%30.2%

Similar by tactical fingerprint: Flavio Cobolli, Jiri Lehecka, Gael Monfils, Mackenzie Mcdonald, Richard Gasquet, Roger Federer, Paolo Lorenzi, Ivan Ljubicic, Cedric Pioline. When two players have rarely met, their records against these lookalikes fill the gap.