RallyIQ

Game plan

Magnus Larsson v Nicolas Jarry

Every number combines what Magnus Larsson does well with what Nicolas Jarry allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Magnus Larsson wins, best of 3 62%90%: 39%–81% · best of 5: 64%
Serve points won 71.2% / 68.6% Magnus / Nicolas · tour 63.8%
Strengths only, no similarity priors 62%serve 71.2% / 68.6%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerMagnusNicolas
Direction choice+0.15 ±0.23
better than 88%
−0.23 ±0.09
better than 9%
Shot selection−0.83 ±0.32
better than 4%
+0.02 ±0.14
better than 54%
Execution+0.03 ±1.45
better than 70%
−0.45 ±0.54
better than 46%

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.

Magnus Larsson serving

Deuce court

1st serveNowMagnus winsv NicolasMatchupOptimal
Wide39%71%76%74.3%±7.352% ▲
Body10%70%67%73.2%±10.80% ▼
T50%79%73%77.2%±7.048% ▼

Optimal v Nicolas Jarry: +0.4±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMagnus winsv NicolasMatchupOptimal
Wide49%80%76%83.0%±5.862% ▲
Body8%61%68%66.4%±13.00% ▼
T42%73%76%77.6%±7.138% ▼

Optimal v Nicolas Jarry: +0.7±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.7 per 100 first serves in before the returner adjusts.

Nicolas Jarry serving

Deuce court

1st serveNowNicolas winsv MagnusMatchupOptimal
Wide43%74%79%79.7%±6.656% ▲
Body6%64%66%66.6%±12.90% ▼
T51%74%83%82.2%±6.444% ▼

Optimal v Magnus Larsson: +0.6±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowNicolas winsv MagnusMatchupOptimal
Wide55%75%77%78.4%±6.649% ▼
Body8%67%63%67.5%±13.20% ▼
T38%75%79%81.2%±6.451% ▲

Optimal v Magnus Larsson: +0.7±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.6 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.

Magnus Larsson returning

1st serve to the forehand

ReturnNowTourOwnv NicolasValue
FH through the middle42%+4.3−2.3+2.6+4.6±2.7
FH crosscourt23%+5.5−3.5−0.7+1.4±4.3
FH down the line19%+1.7−0.9−1.6−0.8±4.4
FH slice crosscourt6%−4.3+0.1+0.6−3.7±2.4
FH slice through the middle6%−4.2−0.5+1.5−3.2±1.7

Lean FH through the middle: +3.0±2.0 per 100 returns v the current mix (123 returns charted)

1st serve to the backhand

ReturnNowTourOwnv NicolasValue
BH crosscourt28%+8.8±0.0+1.5+10.2±3.2
BH slice crosscourt21%+0.5−0.7−0.4−0.6±3.0
BH through the middle19%+6.4−0.8+3.5+9.0±2.2
BH slice through the middle18%−4.2−1.7+1.2−4.8±2.2
BH down the line10%+4.2−1.3+6.3+9.3±4.2

Lean BH crosscourt: +6.1±2.5 per 100 returns v the current mix (122 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv NicolasValue
BH through the middle27%−2.9−0.9+2.0−1.8±2.0
BH crosscourt25%+1.0+0.3−0.2+1.1±2.7
BH down the line21%−0.2+2.4+4.2+6.5±4.5
BH slice through the middle14%−11.3−0.2−0.5−12.0±2.0
BH slice crosscourt13%−4.0−0.7−0.9−5.6±2.0

Lean BH crosscourt: +2.4±2.3 per 100 returns v the current mix (63 returns charted)

Nicolas Jarry returning

1st serve to the forehand

ReturnNowTourOwnv MagnusValue
FH through the middle61%+4.3+3.0−2.0+5.2±2.6
FH crosscourt20%+5.5+3.0−1.2+7.3±4.1
FH down the line13%+1.7+0.2+1.0+2.9±4.2
FH slice through the middle5%−4.2−0.3+0.3−4.2±2.1
BH through the middle1%+6.6+0.6−3.1+4.0±2.2

Lean FH crosscourt: +2.5±3.7 per 100 returns v the current mix (680 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv MagnusValue
BH through the middle51%+6.4+2.5−3.1+5.8±2.2
BH crosscourt28%+8.8+0.9+2.0+11.7±3.1
BH slice through the middle9%−4.2−0.9−1.2−6.3±2.5
BH down the line7%+4.2+6.5−3.3+7.5±4.0
BH slice crosscourt3%+0.5+0.3−2.5−1.7±3.0

Lean BH crosscourt: +5.7±2.5 per 100 returns v the current mix (773 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MagnusValue
FH through the middle65%−3.5−0.7+0.2−3.9±2.7
FH crosscourt23%−0.2+2.1−2.1−0.3±4.2
FH down the line12%−1.8−3.0+0.3−4.6±4.1

Lean FH crosscourt: +2.9±3.7 per 100 returns v the current mix (149 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv MagnusValue
BH through the middle57%−2.9−2.0±0.0−4.9±2.0
BH crosscourt30%+1.0+0.7+0.9+2.6±2.9
BH down the line5%−0.2+0.1±0.0−0.1±3.4
FH through the middle5%−2.9+0.1+0.2−2.6±2.3
FH inside-in2%+0.6+0.5−2.1−1.1±3.9

Lean BH crosscourt: +4.8±2.3 per 100 returns v the current mix (617 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.

Magnus Larsson

Favour

ShotEdgeOwnTheirs
BH to the middle · return+2.3±3.2−2.1+4.4
FH to their backhand · rally+2.3±4.8+1.6+0.7
BH to their backhand · return+0.6±4.4±0.0+0.6
FH to the middle · return−0.6±3.6−3.0+2.5
FH to their forehand · rally−1.4±5.1−3.5+2.1
FH to their backhand · serve +1−1.4±5.0+1.1−2.5

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−1.5±3.9−2.6+1.0
FH to their backhand · serve +1−1.4±5.0+1.1−2.5
FH to their forehand · rally−1.4±5.1−3.5+2.1
FH to the middle · return−0.6±3.6−3.0+2.5
BH to their backhand · return+0.6±4.4±0.0+0.6

Nicolas Jarry

Favour

ShotEdgeOwnTheirs
BH slice to the middle · return+0.7±3.5+0.1+0.6
FH to the middle · return−0.3±3.6+1.9−2.2
BH to their backhand · rally−7.8±3.8−7.0−0.8
FH to their backhand · rally−10.6±4.5−5.5−5.2
FH to their forehand · rally−11.3±4.8−4.5−6.8

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−11.3±4.8−4.5−6.8
FH to their backhand · rally−10.6±4.5−5.5−5.2
BH to their backhand · rally−7.8±3.8−7.0−0.8
FH to the middle · return−0.3±3.6+1.9−2.2
BH slice to the middle · return+0.7±3.5+0.1+0.6

Against Nicolas Jarry-like opponents

Magnus Larsson vMatchesServe pts wonReturn pts won
All charted opponents–65.1%31.0%

Similar by tactical fingerprint: Jiri Lehecka, Arthur Rinderknech, Denis Shapovalov, Zizou Bergs, Giovanni Mpetshi Perricard, Reilly Opelka, Gabriel Diallo, Aslan Karatsev, Vasek Pospisil, Sam Querrey. When two players have rarely met, their records against these lookalikes fill the gap.