RallyIQ

Game plan

Hamad Medjedovic v Magnus Norman

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

Forecast

Hamad Medjedovic wins, best of 3 30%90%: 7%–66% · best of 5: 25%
Serve points won 64.8% / 69.2% Hamad / Magnus · tour 65.7%
Strengths only, no similarity priors 30%serve 64.8% / 69.2%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerHamadMagnus
Direction choice+0.03 ±0.10
better than 65%
+0.12 ±0.08
better than 85%
Shot selection−0.06 ±0.26
better than 46%
+0.05 ±0.12
better than 60%
Execution−1.65 ±0.69
better than 7%
−0.12 ±0.82
better than 62%
Points left on the table2.40 ±0.19
lower than 73%
2.17 ±0.13
lower than 94%

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.

Hamad Medjedovic serving

Deuce court

1st serveNowHamad winsv MagnusMatchupOptimal
Wide44%73%71%72.0%±9.040% ▼
Body9%68%65%70.2%±13.80% ▼
T47%79%79%82.9%±6.660% ▲

Optimal v Magnus Norman: +0.9±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +5.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowHamad winsv MagnusMatchupOptimal
Wide33%73%74%73.4%±9.120% ▼
Body6%62%72%71.0%±14.36%
T61%71%74%73.6%±8.774% ▲

Optimal v Magnus Norman: +0.3±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +0.2 per 100 first serves in before the returner adjusts.

Magnus Norman serving

Deuce court

1st serveNowMagnus winsv HamadMatchupOptimal
Wide47%71%80%78.0%±7.660% ▲
Body15%56%73%66.6%±14.52% ▼
T38%76%82%82.8%±7.238%

Optimal v Hamad Medjedovic: +0.8±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMagnus winsv HamadMatchupOptimal
Wide49%68%75%71.0%±8.962% ▲
Body15%66%68%71.2%±12.92% ▼
T36%64%78%71.2%±9.836%

Optimal v Hamad Medjedovic: +0.4±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +0.1 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.

Hamad Medjedovic returning

1st serve to the forehand

ReturnNowTourOwnv MagnusValue
FH through the middle51%+4.3−2.0+0.2+2.4±3.0
FH crosscourt23%+5.5−1.5−0.6+3.3±4.4
FH down the line23%+1.7+0.2+4.1+6.0±4.4
FH slice through the middle3%−4.2+0.4−0.3−4.2±1.6

Lean FH down the line: +2.8±3.9 per 100 returns v the current mix (158 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv MagnusValue
BH through the middle40%+6.4±0.0+0.6+7.0±2.9
BH crosscourt28%+8.8+0.1−1.2+7.7±3.6
BH down the line20%+4.2+0.2−2.1+2.3±4.1
BH slice through the middle8%−4.2−1.2+0.3−5.1±2.3
BH slice down the line4%−8.4−0.4−2.1−10.9±2.6

Lean BH crosscourt: +3.1±3.0 per 100 returns v the current mix (167 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MagnusValue
FH through the middle48%−3.5+1.4±0.0−2.2±2.6
FH crosscourt30%−0.2+0.9+0.5+1.2±3.7
FH down the line23%−1.8+0.6+1.0−0.1±3.7

Lean FH through the middle: −1.5±2.0 per 100 returns v the current mix (40 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv MagnusValue
BH through the middle47%−2.9+0.8+1.3−0.8±2.6
BH crosscourt29%+1.0−0.7−0.5−0.2±3.2
BH down the line20%−0.2−0.1+2.4+2.0±4.7
FH inside-in5%+0.6+0.5+0.5+1.5±3.3

Lean BH down the line: +2.0±4.1 per 100 returns v the current mix (101 returns charted, inside the 90% margin)

Magnus Norman returning

1st serve to the forehand

ReturnNowTourOwnv HamadValue
FH through the middle44%+4.3−1.3−1.4+1.5±3.0
FH crosscourt35%+5.5−1.8−2.2+1.5±4.4
FH down the line15%+1.7−2.1−1.2−1.6±4.3
FH slice through the middle6%−4.2+0.5+0.5−3.2±2.0

Lean FH through the middle: +0.7±2.4 per 100 returns v the current mix (117 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv HamadValue
BH through the middle33%+6.4−1.6−1.8+3.0±2.9
BH crosscourt28%+8.8+0.4+0.9+10.1±3.6
BH slice through the middle19%−4.2+0.9−0.6−3.9±2.4
BH slice crosscourt9%+0.5−0.8+0.5+0.2±2.6
BH down the line7%+4.2−0.1−0.6+3.5±3.9

Lean BH crosscourt: +7.1±2.8 per 100 returns v the current mix (155 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv HamadValue
BH crosscourt49%+1.0+1.4+3.2+5.6±3.3
BH through the middle38%−2.9+2.3−1.1−1.7±2.6
BH down the line12%−0.2+1.5−1.1+0.2±4.5

Lean BH crosscourt: +3.5±2.0 per 100 returns v the current mix (130 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.

Hamad Medjedovic

Favour

ShotEdgeOwnTheirs
FH to their forehand · return +1+4.7±4.4+3.2+1.4
FH to the middle · return+1.3±3.3+0.4+1.0
FH to the middle · rally+0.6±2.5−0.7+1.3
BH to the middle · return+0.6±2.5+0.2+0.4
FH to their forehand · return+0.2±4.7±0.0+0.2
BH to their backhand · return +1±0.0±3.5−0.6+0.7

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−10.3±4.4−7.0−3.3
FH to their forehand · rally−5.2±3.3−4.8−0.4
FH to their forehand · serve +1−5.1±4.8−3.5−1.5
BH to their backhand · return−4.0±3.2−2.2−1.8
FH to their backhand · rally−3.3±3.2−4.3+1.0

Magnus Norman

Favour

ShotEdgeOwnTheirs
BH to their backhand · return+2.0±3.2−0.8+2.8
FH to their forehand · serve +1+1.2±4.1−3.0+4.2
BH to the middle · rally+1.1±2.2+0.5+0.6
BH to their backhand · rally+0.6±2.4+0.4+0.2
FH to their backhand · serve +1+0.5±3.5+0.1+0.3
FH to their forehand · rally+0.1±3.2+0.2±0.0

Avoid

ShotEdgeOwnTheirs
BH to the middle · return−2.7±2.4−0.6−2.1
FH to the middle · return−2.5±2.7−1.2−1.3
FH to their backhand · rally−2.2±3.1−2.2±0.0
FH to the middle · rally−1.6±2.5−1.5−0.1
FH to their forehand · rally+0.1±3.2+0.2±0.0

Against Magnus Norman-like opponents

Hamad Medjedovic vMatchesServe pts wonReturn pts won
All charted opponents–63.3%28.7%

Similar by tactical fingerprint: Valentin Vacherot, Tommy Paul, Laslo Djere, Roman Safiullin, David Goffin, Kei Nishikori, Ilya Ivashka, Kyle Edmund, Andre Agassi, Arnaud Clement. When two players have rarely met, their records against these lookalikes fill the gap.