RallyIQ

Game plan

Oscar Otte v Milos Raonic

Every number combines what Oscar Otte does well with what Milos Raonic allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Oscar Otte wins, best of 3 12%90%: 2%–34% · best of 5: 7%
Serve points won 65.5% / 75.9% Oscar / Milos · tour 65.7%
Strengths only, no similarity priors 12%serve 65.5% / 75.9%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerOscarMilos
Direction choice±0.00 ±0.13
better than 57%
+0.11 ±0.05
better than 82%
Shot selection−0.32 ±0.46
better than 21%
+0.70 ±0.10
better than 97%
Execution−1.08 ±1.56
better than 23%
−0.74 ±0.34
better than 35%

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.

Oscar Otte serving

Deuce court

1st serveNowOscar winsv MilosMatchupOptimal
Wide45%74%76%76.9%±7.058% ▲
Body7%60%69%65.8%±12.40% ▼
T49%75%78%78.4%±7.242% ▼

Optimal v Milos Raonic: +0.5±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowOscar winsv MilosMatchupOptimal
Wide47%74%78%78.7%±7.160% ▲
Body7%61%66%63.4%±13.20% ▼
T46%67%76%71.0%±8.240% ▼

Optimal v Milos Raonic: +0.6±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.6 per 100 first serves in before the returner adjusts.

Milos Raonic serving

Deuce court

1st serveNowMilos winsv OscarMatchupOptimal
Wide49%77%78%81.6%±6.262% ▲
Body7%74%66%75.9%±11.30% ▼
T44%85%75%85.0%±5.238% ▼

Optimal v Oscar Otte: +0.6±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMilos winsv OscarMatchupOptimal
Wide55%84%79%87.8%±4.950% ▼
Body7%67%61%65.9%±13.40% ▼
T37%80%75%82.1%±6.850% ▲

Optimal v Oscar Otte: +0.7±0.7 per 100 first serves (faults included) over the current mix. Serving wide every time would read +3.7 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.

Oscar Otte returning

1st serve to the forehand

ReturnNowTourOwnv MilosValue
FH through the middle41%+4.3−1.8−1.3+1.2±2.5
FH crosscourt22%+5.5+2.6−3.1+5.0±3.7
FH slice through the middle22%−4.2−0.5−0.8−5.5±1.9
FH down the line16%+1.7−2.0−1.5−1.7±3.5

Lean FH crosscourt: +4.9±3.1 per 100 returns v the current mix (74 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MilosValue
BH through the middle33%+6.4+0.9−2.1+5.2±2.3
BH crosscourt31%+8.8−0.5−1.8+6.6±3.1
BH down the line12%+4.2−0.1−4.6−0.5±3.9
BH slice through the middle10%−4.2+0.2−0.2−4.2±1.8
BH slice down the line8%−8.4−2.1−2.8−13.3±2.9

Lean BH crosscourt: +4.5±2.4 per 100 returns v the current mix (91 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MilosValue
BH through the middle52%−2.9−1.9−0.4−5.2±2.0
BH crosscourt38%+1.0−0.8−1.6−1.4±2.5
BH down the line10%−0.2−0.2−2.8−3.2±3.8

Lean BH crosscourt: +2.1±1.9 per 100 returns v the current mix (58 returns charted)

Milos Raonic returning

1st serve to the forehand

ReturnNowTourOwnv OscarValue
FH through the middle48%+4.3−0.8+1.0+4.4±2.5
FH crosscourt27%+5.5−3.8−3.3−1.6±3.4
FH down the line17%+1.7−2.5−1.0−1.9±3.6
FH slice through the middle5%−4.2−1.8−1.1−7.0±2.0
FH slice crosscourt1%−4.3−1.3±0.0−5.7±1.9

Lean FH through the middle: +3.5±1.7 per 100 returns v the current mix (1484 returns charted)

1st serve to the backhand

ReturnNowTourOwnv OscarValue
BH through the middle39%+6.4−0.5−2.6+3.4±2.2
BH crosscourt24%+8.8−2.9+1.4+7.3±2.7
BH slice through the middle14%−4.2−1.5±0.0−5.7±1.8
BH down the line12%+4.2−0.9+0.5+3.7±3.9
BH slice crosscourt7%+0.5−1.5±0.0−0.9±2.5

Lean BH crosscourt: +5.1±2.3 per 100 returns v the current mix (1719 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv OscarValue
FH through the middle46%−3.5−0.4+0.8−3.0±2.6
FH crosscourt32%−0.2+0.3−0.3−0.3±4.0
FH down the line19%−1.8−1.0+1.0−1.8±4.3
FH slice through the middle2%−12.7+0.2±0.0−12.5±1.1
FH slice down the line1%−9.4−0.6±0.0−10.0±1.3

Lean FH crosscourt: +1.9±3.1 per 100 returns v the current mix (383 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv OscarValue
BH through the middle38%−2.9−1.5−0.3−4.7±2.2
BH crosscourt30%+1.0−3.3−3.3−5.6±2.8
BH down the line10%−0.2+0.3−1.0−1.0±4.3
FH through the middle8%−2.9+0.1+0.8−1.9±2.4
FH inside-in4%+0.6−2.7−0.3−2.5±4.2

Lean BH down the line: +3.5±4.1 per 100 returns v the current mix (1074 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.

Oscar Otte

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+1.7±3.9±0.0+1.7
FH to their forehand · rally+1.3±4.0+1.6−0.3
BH to their backhand · rally±0.0±3.2+1.2−1.2
BH to the middle · return−1.0±2.7−1.0±0.0
BH to the middle · rally−1.3±2.7−1.8+0.4
FH to the middle · return−2.0±3.0−3.8+1.8

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return−5.7±3.8−1.3−4.4
FH to the middle · return−2.0±3.0−3.8+1.8
BH to the middle · rally−1.3±2.7−1.8+0.4
BH to the middle · return−1.0±2.7−1.0±0.0
BH to their backhand · rally±0.0±3.2+1.2−1.2

Milos Raonic

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+4.2±4.7−0.9+5.1
FH to the middle · return+0.3±2.7−0.9+1.2
FH to their backhand · serve +1−1.6±3.9−0.8−0.8
BH to the middle · return−3.0±2.6−0.4−2.6
BH to their backhand · rally−3.0±3.5−3.9+0.9
BH to their backhand · return−3.3±3.8−0.5−2.7

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−6.1±3.6−4.0−2.1
BH to their backhand · return−3.3±3.8−0.5−2.7
BH to their backhand · rally−3.0±3.5−3.9+0.9
BH to the middle · return−3.0±2.6−0.4−2.6
FH to their backhand · serve +1−1.6±3.9−0.8−0.8

Against Milos Raonic-like opponents

Oscar Otte vMatchesServe pts wonReturn pts won
All charted opponents–61.9%32.0%

Similar by tactical fingerprint: Alexei Popyrin, Giovanni Mpetshi Perricard, Reilly Opelka, Thanasi Kokkinakis, John Isner, Jeremy Chardy, Sam Querrey, Jo Wilfried Tsonga, Jack Sock, Fernando Gonzalez. When two players have rarely met, their records against these lookalikes fill the gap.