RallyIQ

Game plan

Magnus Norman v Laslo Djere

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

Forecast

Magnus Norman wins, best of 3 55%90%: 26%–82% · best of 5: 57%
Serve points won 63.4% / 62.3% Magnus / Laslo · tour 63.4%
Strengths only, no similarity priors 55%serve 63.4% / 62.3%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerMagnusLaslo
Direction choice+0.12 ±0.08
better than 85%
+0.03 ±0.08
better than 64%
Shot selection+0.05 ±0.12
better than 60%
−0.48 ±0.14
better than 12%
Execution−0.12 ±0.82
better than 62%
−0.84 ±0.42
better than 31%
Points left on the table2.17 ±0.13
lower than 94%
2.32 ±0.17
lower than 82%

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 Norman serving

Deuce court

1st serveNowMagnus winsv LasloMatchupOptimal
Wide47%71%75%72.8%±6.947%
Body15%56%68%60.8%±12.52% ▼
T38%76%73%74.3%±8.151% ▲

Optimal v Laslo Djere: +0.9±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMagnus winsv LasloMatchupOptimal
Wide49%68%74%69.0%±7.762% ▲
Body15%66%65%68.0%±11.52% ▼
T36%64%77%69.9%±8.436%

Optimal v Laslo Djere: +0.1±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +0.8 per 100 first serves in before the returner adjusts.

Laslo Djere serving

Deuce court

1st serveNowLaslo winsv MagnusMatchupOptimal
Wide48%72%71%71.1%±7.843% ▼
Body8%61%65%63.4%±13.20% ▼
T44%74%79%78.7%±6.757% ▲

Optimal v Magnus Norman: +0.1±0.8 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 serveNowLaslo winsv MagnusMatchupOptimal
Wide50%71%74%71.9%±7.537% ▼
Body8%65%72%73.9%±11.821% ▲
T41%70%74%72.0%±8.442%

Optimal v Magnus Norman: +0.3±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +1.8 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 Norman returning

1st serve to the forehand

ReturnNowTourOwnv LasloValue
FH through the middle44%+4.3−1.3−0.5+2.4±2.6
FH crosscourt35%+5.5−1.8−1.1+2.5±4.3
FH down the line15%+1.7−2.1+0.8+0.3±4.1
FH slice through the middle6%−4.2+0.5−0.6−4.3±2.0

Lean FH crosscourt: +0.8±3.1 per 100 returns v the current mix (117 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv LasloValue
BH through the middle33%+6.4−1.6−1.3+3.6±2.5
BH crosscourt28%+8.8+0.4−0.3+8.9±3.3
BH slice through the middle19%−4.2+0.9−2.3−5.6±2.4
BH slice crosscourt9%+0.5−0.8−2.4−2.6±2.8
BH down the line7%+4.2−0.1±0.0+4.0±4.1

Lean BH crosscourt: +6.6±2.6 per 100 returns v the current mix (155 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv LasloValue
BH crosscourt49%+1.0+1.4−0.4+2.0±3.0
BH through the middle38%−2.9+2.3+2.4+1.9±2.2
BH down the line12%−0.2+1.5−0.7+0.5±4.6

Lean BH crosscourt: +0.2±1.8 per 100 returns v the current mix (130 returns charted, inside the 90% margin)

Laslo Djere returning

1st serve to the forehand

ReturnNowTourOwnv MagnusValue
FH through the middle46%+4.3−3.4+0.2+1.0±2.7
FH crosscourt20%+5.5+0.2−0.6+5.0±4.3
FH slice through the middle15%−4.2−1.3−0.3−5.8±2.1
FH down the line11%+1.7−7.8+4.1−2.1±4.4
FH slice crosscourt5%−4.3−1.6−1.1−7.0±2.3

Lean FH crosscourt: +5.2±3.7 per 100 returns v the current mix (571 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MagnusValue
BH through the middle37%+6.4−1.4+0.6+5.6±2.6
BH crosscourt25%+8.8−3.0−1.2+4.6±3.3
BH slice through the middle16%−4.2−0.5+0.3−4.4±2.4
BH slice crosscourt9%+0.5−1.2−2.0−2.7±2.9
BH down the line7%+4.2+0.5−2.1+2.6±4.1

Lean BH through the middle: +3.6±1.9 per 100 returns v the current mix (626 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MagnusValue
FH through the middle53%−3.5−2.6±0.0−6.1±2.8
FH crosscourt34%−0.2+1.3+0.5+1.6±4.2
FH down the line13%−1.8+3.2+1.0+2.5±4.1

Lean FH down the line: +4.8±4.1 per 100 returns v the current mix (151 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MagnusValue
BH through the middle43%−2.9−0.2+1.3−1.8±2.3
BH crosscourt40%+1.0−2.6−0.5−2.1±3.0
BH down the line8%−0.2−4.3+2.4−2.2±4.9
FH through the middle3%−2.9−0.9±0.0−3.8±2.1
FH inside-out3%+1.0+0.9+1.0+2.9±3.0

Lean BH through the middle: +0.1±1.8 per 100 returns v the current mix (413 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.

Magnus Norman

Favour

ShotEdgeOwnTheirs
BH to their backhand · serve +1+1.5±3.2+1.7−0.2
BH to the middle · rally+1.3±1.8+0.5+0.8
BH to their backhand · rally+0.5±1.8+0.4+0.1
BH to their backhand · return +1+0.3±3.1+0.6−0.2
BH to the middle · return−0.2±2.0−0.6+0.4
FH to their forehand · rally−0.7±2.5+0.2−0.9

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−5.4±3.7−3.6−1.8
FH to their forehand · serve +1−3.1±3.4−3.0−0.1
FH to their backhand · rally−2.6±2.4−2.2−0.5
FH to their backhand · serve +1−2.4±3.0+0.1−2.6
FH to their backhand · return +1−1.4±3.9−2.2+0.8

Laslo Djere

Favour

ShotEdgeOwnTheirs
FH to their forehand · return +1+1.9±4.0+0.5+1.4
FH to their forehand · return+1.3±4.2+1.2+0.2
FH to the middle · rally−0.1±2.1−1.4+1.3
BH slice to their backhand · rally−0.1±2.3−1.0+0.8
BH to the middle · rally−0.3±1.8−0.5+0.2
FH to their backhand · rally−0.8±2.4−1.8+1.0

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−5.1±3.7−1.8−3.3
BH to their backhand · return−4.6±2.7−2.8−1.8
BH to their backhand · return +1−4.4±3.2−5.1+0.7
FH to their forehand · serve +1−2.7±3.6−1.2−1.5
FH to their forehand · rally−2.0±2.4−1.6−0.4

Against Laslo Djere-like opponents

Magnus Norman vMatchesServe pts wonReturn pts won
All charted opponents–59.5%38.2%

Similar by tactical fingerprint: Learner Tien, Hubert Hurkacz, Tommy Paul, Karen Khachanov, Alexander Shevchenko, Roman Safiullin, Fabio Fognini, Kei Nishikori, Dominic Thiem, Gregoire Barrere. When two players have rarely met, their records against these lookalikes fill the gap.