RallyIQ

Game plan

Marc Rosset v James Blake

Every number combines what Marc Rosset does well with what James Blake allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Marc Rosset wins, best of 3 43%90%: 15%–75% · best of 5: 42%
Serve points won 66.5% / 67.9% Marc / James · tour 65.7%
Strengths only, no similarity priors 40%serve 65.9% / 68.0%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Marc Rosset's record against James Blake's tactical lookalikes and in their charted head-to-heads (lookalikes: +11.4 on serve, +0.9 on return vs expectation (162 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

CareerMarcJames
Direction choice−0.21 ±0.21
better than 13%
+0.08 ±0.07
better than 78%
Shot selection+0.30 ±0.27
better than 79%
+0.03 ±0.12
better than 56%
Execution−0.66 ±0.55
better than 38%
−0.86 ±0.36
better than 30%
Points left on the table3.52 ±0.60
lower than 8%
2.49 ±0.14
lower than 62%

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.

Marc Rosset serving

Deuce court

1st serveNowMarc winsv JamesMatchupOptimal
Wide34%74%76%76.6%±6.334%
Body14%70%58%65.2%±10.31% ▼
T52%82%76%83.4%±4.765% ▲

Optimal v James Blake: +0.8±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMarc winsv JamesMatchupOptimal
Wide36%72%69%67.6%±7.836%
Body17%63%59%59.7%±11.04% ▼
T47%78%72%77.7%±6.260% ▲

Optimal v James Blake: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.8 per 100 first serves in before the returner adjusts.

James Blake serving

Deuce court

1st serveNowJames winsv MarcMatchupOptimal
Wide39%68%78%73.2%±7.152% ▲
Body13%64%71%71.2%±8.312%
T49%75%76%76.3%±6.336% ▼

Optimal v Marc Rosset: +0.2±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJames winsv MarcMatchupOptimal
Wide51%71%68%66.0%±6.646% ▼
Body8%58%68%63.1%±12.70% ▼
T41%70%78%76.2%±6.854% ▲

Optimal v Marc Rosset: +0.5±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.2 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.

Marc Rosset returning

1st serve to the forehand

ReturnNowTourOwnv JamesValue
FH through the middle55%+4.3−1.7±0.0+2.6±2.6
FH down the line40%+1.7−3.4+0.8−0.9±4.1
FH crosscourt6%+5.5−2.5−3.0±0.0±3.7

Lean FH through the middle: +1.5±2.0 per 100 returns v the current mix (176 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv JamesValue
BH through the middle41%+6.4−2.7+0.6+4.4±2.4
BH crosscourt22%+8.8−2.2−1.2+5.4±3.4
BH down the line12%+4.2−1.2+0.1+3.1±4.5
BH slice through the middle12%−4.2+0.1+0.3−3.8±2.2
BH slice crosscourt10%+0.5+1.2+2.9+4.6±2.8

Lean BH crosscourt: +2.4±2.9 per 100 returns v the current mix (274 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv JamesValue
FH through the middle47%−3.5+1.9+0.2−1.4±2.6
FH down the line42%−1.8−1.4+3.0−0.1±4.3
FH crosscourt11%−0.2−0.5+6.0+5.3±3.6

Lean FH down the line: ±0.0±2.8 per 100 returns v the current mix (62 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv JamesValue
FH through the middle20%−2.9−0.9+0.2−3.5±2.3
BH through the middle19%−2.9−3.8−0.8−7.4±2.3
BH slice through the middle14%−11.3−1.4+1.3−11.4±2.4
BH slice crosscourt13%−4.0+0.6+1.3−2.0±2.4
FH inside-out13%+1.0+7.4+3.0+11.4±3.3

Lean FH inside-out: +13.7±3.1 per 100 returns v the current mix (200 returns charted)

James Blake returning

1st serve to the forehand

ReturnNowTourOwnv MarcValue
FH crosscourt38%+5.5+0.1+1.4+7.0±4.0
FH through the middle34%+4.3−2.7−3.5−1.9±2.7
FH down the line22%+1.7−0.6−3.1−2.0±4.3
FH slice through the middle4%−4.2−0.6+0.2−4.6±1.8
FH slice crosscourt1%−4.3+0.1±0.0−4.2±1.4

Lean FH crosscourt: +5.7±2.8 per 100 returns v the current mix (587 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MarcValue
BH slice through the middle25%−4.2+3.0−3.0−4.2±2.3
BH through the middle25%+6.4−2.0−2.0+2.4±2.5
BH slice crosscourt17%+0.5+4.2−2.9+1.9±2.8
BH crosscourt16%+8.8−1.4−6.3+1.1±3.4
BH down the line11%+4.2−0.1−2.0+2.1±4.4

Lean BH through the middle: +2.5±2.2 per 100 returns v the current mix (875 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MarcValue
FH through the middle33%−3.5+0.9+0.7−1.8±2.9
FH crosscourt31%−0.2+1.6+2.8+4.1±4.4
FH down the line26%−1.8−0.5+2.0−0.3±4.6
FH slice through the middle6%−12.7+1.1±0.0−11.6±1.3
FH slice down the line3%−9.4−2.1±0.0−11.5±1.3

Lean FH crosscourt: +4.6±3.4 per 100 returns v the current mix (159 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MarcValue
BH crosscourt35%+1.0−3.3+1.0−1.3±3.0
BH through the middle31%−2.9−0.2−1.2−4.4±2.4
BH down the line17%−0.2+0.5+0.5+0.8±4.5
BH slice crosscourt6%−4.0+0.4−0.9−4.5±2.3
BH slice through the middle4%−11.3+0.4−1.2−12.1±2.0
FH inside-in3%+0.6+0.5+2.8+3.8±4.2

Lean FH inside-in: +6.1±4.3 per 100 returns v the current mix (545 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.

Marc Rosset

Favour

ShotEdgeOwnTheirs
BH to their forehand · return+4.4±6.4+1.2+3.2
FH to their backhand · return +1+3.2±5.7+0.3+2.9
FH to their forehand · return +1+2.8±5.2−0.3+3.0
FH to their forehand · serve +1+2.2±4.5+0.6+1.5
FH to the middle · rally+1.4±2.7+0.3+1.1
FH to their backhand · return+0.2±5.4−2.7+2.8

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−4.6±3.9−0.7−3.9
FH to their backhand · rally−3.8±3.8−2.0−1.8
BH to the middle · return−2.6±3.6−3.6+1.0
FH to the middle · return−2.2±3.8−0.1−2.1
FH to the middle · serve +1−1.8±3.2−0.1−1.7

James Blake

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+6.3±6.3+4.3+2.0
BH slice to their backhand · rally+3.1±3.0+1.7+1.4
BH to their forehand · rally+1.5±5.0+5.9−4.4
BH to the middle · rally+0.6±2.7+2.1−1.5
BH to their backhand · return +1±0.0±4.3−1.8+1.8
FH to their forehand · return +1−0.4±4.9−2.5+2.1

Avoid

ShotEdgeOwnTheirs
BH to the middle · return−5.1±3.6−1.1−4.0
FH to the middle · rally−5.0±3.0−3.3−1.7
BH to their backhand · return−4.8±4.9−1.6−3.2
FH to their backhand · return +1−4.8±5.8−3.2−1.6
FH to their backhand · return−2.6±5.7−2.4−0.2

Against James Blake-like opponents

Marc Rosset vMatchesServe pts wonReturn pts won
All charted opponents–64.3%31.2%
Players most similar to James Blake1 73.2%29.3%

Similar by tactical fingerprint: Stefanos Tsitsipas, Alexei Popyrin, Lucas Pouille, Kyle Edmund, Jo Wilfried Tsonga, Roger Federer, Philipp Kohlschreiber, Tommy Haas, Sebastien Grosjean, Jim Courier. When two players have rarely met, their records against these lookalikes fill the gap.