RallyIQ

Game plan

Cameron Norrie v Carlos Berlocq

Every number combines what Cameron Norrie does well with what Carlos Berlocq allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Cameron Norrie wins, best of 3 87%90%: 56%–98% · best of 5: 92%
Serve points won 64.5% / 55.8% Cameron / Carlos · tour 63.8%
Strengths only, no similarity priors 88%serve 65.3% / 56.2%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Cameron Norrie's record against Carlos Berlocq's tactical lookalikes and in their charted head-to-heads (lookalikes: −10.2 on serve, +4.0 on return vs expectation (270 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

CareerCameronCarlos
Direction choice−0.04 ±0.08
better than 46%
−0.20 ±0.17
better than 14%
Shot selection+0.49 ±0.17
better than 92%
−0.21 ±0.26
better than 29%
Execution+0.02 ±0.39
better than 69%
+0.88 ±0.90
better than 94%
Points left on the table2.83 ±0.14
lower than 28%
2.77 ±0.21
lower than 34%

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.

Cameron Norrie serving

Deuce court

1st serveNowCameron winsv CarlosMatchupOptimal
Wide37%70%72%69.0%±8.051% ▲
Body9%63%57%56.5%±12.60% ▼
T53%67%70%62.1%±8.449% ▼

Optimal v Carlos Berlocq: +0.5±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowCameron winsv CarlosMatchupOptimal
Wide62%71%69%67.5%±7.257% ▼
Body8%64%61%61.7%±13.30% ▼
T30%79%69%75.8%±8.543% ▲

Optimal v Carlos Berlocq: +0.7±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.3 per 100 first serves in before the returner adjusts.

Carlos Berlocq serving

Deuce court

1st serveNowCarlos winsv CameronMatchupOptimal
Wide47%68%75%69.7%±7.347%
Body24%57%62%56.2%±11.510% ▼
T29%76%79%79.6%±7.143% ▲

Optimal v Cameron Norrie: +1.5±1.0 per 100 first serves (faults included) over the current mix. Serving T every time would read +10.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowCarlos winsv CameronMatchupOptimal
Wide46%70%79%76.3%±6.859% ▲
Body13%65%63%64.6%±12.40% ▼
T40%67%69%63.6%±9.041%

Optimal v Cameron Norrie: +0.4±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +6.7 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.

Cameron Norrie returning

1st serve to the forehand

ReturnNowTourOwnv CarlosValue
FH through the middle42%+4.3−0.2+1.6+5.7±2.7
FH crosscourt23%+5.5+2.4+1.8+9.7±4.0
FH slice through the middle13%−4.2−0.8+0.5−4.5±1.9
FH down the line12%+1.7−2.2+1.0+0.5±3.9
FH slice crosscourt6%−4.3+0.3−0.2−4.2±2.5

Lean FH crosscourt: +6.1±3.3 per 100 returns v the current mix (709 returns charted)

1st serve to the backhand

ReturnNowTourOwnv CarlosValue
BH through the middle48%+6.4+0.7+1.1+8.2±2.3
BH crosscourt35%+8.8−0.8−0.9+7.1±2.8
BH down the line8%+4.2−0.4+0.6+4.5±4.6
BH slice through the middle5%−4.2+0.8−0.1−3.5±2.4
BH slice down the line2%−8.4−0.4±0.0−8.8±2.1

Lean BH through the middle: +1.8±1.6 per 100 returns v the current mix (862 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv CarlosValue
FH through the middle47%−3.5−0.5+1.9−2.1±2.8
FH crosscourt43%−0.2+0.8+2.3+2.9±4.1
FH down the line10%−1.8−2.7+0.8−3.6±4.4

Lean FH crosscourt: +3.0±2.7 per 100 returns v the current mix (263 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv CarlosValue
BH crosscourt44%+1.0−0.7−0.2+0.1±2.6
BH through the middle31%−2.9+1.5+1.0−0.3±2.4
FH inside-in10%+0.6−0.1+2.3+2.8±4.3
FH through the middle8%−2.9+0.8+1.9−0.2±2.4
BH down the line4%−0.2−0.9−2.2−3.3±4.7

Lean FH inside-in: +2.7±4.1 per 100 returns v the current mix (490 returns charted, inside the 90% margin)

Carlos Berlocq returning

1st serve to the forehand

ReturnNowTourOwnv CameronValue
FH through the middle57%+4.3+2.7±0.0+7.0±2.6
FH crosscourt27%+5.5+1.7+2.8+10.0±4.1
FH down the line16%+1.7+2.4−1.9+2.2±4.2

Lean FH crosscourt: +2.9±3.4 per 100 returns v the current mix (108 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv CameronValue
BH through the middle35%+6.4+0.6+2.7+9.6±2.3
BH slice through the middle28%−4.2+1.9+2.2−0.1±2.3
BH slice crosscourt13%+0.5+1.4+2.1+4.0±2.9
BH crosscourt12%+8.8+2.5+4.3+15.7±3.0
BH down the line9%+4.2+1.5−1.5+4.2±3.9

Lean BH crosscourt: +9.9±2.9 per 100 returns v the current mix (167 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv CameronValue
BH through the middle48%−2.9+1.1+1.5−0.2±2.2
BH crosscourt31%+1.0+0.8±0.0+1.8±3.0
BH down the line12%−0.2−1.5+0.9−0.7±4.5
FH through the middle6%−2.9+0.1−0.5−3.3±1.7
FH inside-out4%+1.0+0.6−1.4+0.2±3.0

Lean BH crosscourt: +1.6±2.4 per 100 returns v the current mix (130 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 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.

Cameron Norrie

Favour

ShotEdgeOwnTheirs
BH to their backhand · return +1+6.5±4.6+3.8+2.7
FH to their backhand · rally+5.7±3.3+2.3+3.3
BH to the middle · return+5.5±2.8+3.8+1.7
BH to their forehand · rally+4.3±3.5+1.6+2.7
FH to their forehand · serve +1+3.4±4.5+0.3+3.1
FH to their backhand · return +1+2.7±3.9+3.9−1.2

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−3.6±3.9−2.4−1.2
BH to their backhand · return−2.9±4.6−2.6−0.3
FH to the middle · rally+0.4±2.1+1.6−1.2
FH to the middle · serve +1+0.5±2.7−0.4+0.9
BH to their backhand · rally+1.4±3.2−0.8+2.2

Carlos Berlocq

Favour

ShotEdgeOwnTheirs
BH to the middle · return+5.3±2.1+1.3+4.0
FH to their backhand · return+5.1±4.3+4.3+0.8
BH to their forehand · rally+3.9±3.5+2.0+1.9
FH to their backhand · rally+3.4±3.4+1.6+1.8
BH slice to their backhand · rally+3.0±3.4+2.3+0.6
BH to the middle · rally+2.4±1.8+1.5+0.9

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−1.2±3.2+0.1−1.2
BH to their backhand · return−1.1±3.5+1.2−2.3
FH to their forehand · rally−1.0±3.9±0.0−1.0
FH to their backhand · serve +1−0.8±4.0−0.9+0.1
FH to their backhand · return +1+0.4±3.8+0.7−0.3

Against Carlos Berlocq-like opponents

Cameron Norrie vMatchesServe pts wonReturn pts won
All charted opponents–62.6%33.9%
Players most similar to Carlos Berlocq2 48.0%34.5%

Similar by tactical fingerprint: Tomas Martin Etcheverry, Novak Djokovic, Jaume Munar, Pablo Carreno Busta, Miomir Kecmanovic, Diego Schwartzman, Pablo Andujar, Ilya Ivashka, David Ferrer, Guillermo Coria. When two players have rarely met, their records against these lookalikes fill the gap.